A CAM is used for store and search data and using comparison logic circuitry implements the table
lookupfunction in a single clock cycle. CAMs are main application of packet forwarding and packet
classification in Network routers. A Ternary content addressable memory(TCAM) has three type of states
‘0’,’1’ and ‘X’(don’t care) and which is like as binary CAM and has extra feature of searching and storing.
The ‘X’ option may be used as ‘0’ and ‘1’. TCAM performs high-speed search operation in a deterministic
time. In this work a TCAM circuit is designed by using current race sensing scheme and butterfly matchline
(ML) scheme. The speed and power measures of both the TCAM designs are analysed separately. A Novel
technique is developed which is obtained by combining these two techniques which results in significant
power and speed efficiencies.
A CAM is a device that used for search and store data and using comparison logic circuitry
implements the table lookup function in a single clock cycle. CAMs are main application of packet forwarding
and packet classification in Network routers [10]. A Ternary content addressable memory(TCAM) has three
type of states ‘0’,’1’ and ‘X’(don’t care) and which is like as binary CAM and has extra feature of searching
and storing. The ‘X’ option may be used as ‘0’ and ‘1’. TCAM performs high-speed search operation in a
deterministic time. This type of devices power and speed are the important. So, in this work a TCAM circuit is
designed by using butterfly match line (ML) Technique. The speed and power measures of the TCAM design and
the experimental results show that outflow power may be reduced compared with the traditional TCAM design.
This document presents a new technique to reduce power consumption and increase speed in Content Addressable Memory (CAM) using memory partition and clock gating. The proposed CAM design partitions the memory into segments based on the most significant bits to check for matches. Since most words fail to match in their segments, the search can be discontinued for those segments, reducing power and increasing speed. Clock gating is also used to power gate unused portions of the CAM, further reducing static and dynamic power. Simulation and analysis using Quartus II and ModelSim show the proposed design reduces total power dissipation from 369.9mW to 46.3mW compared to an existing design.
This document summarizes an article that optimizes the Okumura-Hata propagation model for 800MHz radio frequency in Yaounde, Cameroon using a Newton second order iterative algorithm. Radio measurements were collected through drive tests on an existing CDMA2000 network in Yaounde. The root mean squared error between predicted and measured values was calculated to validate the optimized model. A new model developed through this process was found to better represent the local environment compared to the standard Okumura-Hata model. The optimized model can be used for future radio network planning in Yaounde, such as for upcoming LTE deployment in the 800MHz band.
PERFORMANCE COMPARISON DCM VERSUS QPSK FOR HIGH DATA RATES IN THE MBOFDM UWB ...csandit
This document compares the performance of dual carrier modulation (DCM) versus quadrature phase shift keying (QPSK) for high data rates in a multiband orthogonal frequency division multiplexing (MB-OFDM) ultra wideband (UWB) system. Simulation results show that using DCM provides better performance than QPSK, with a gain of around 0.7 dB for a bit error rate of 10-3 at 320 Mbps data rates. DCM offers additional diversity and coding gains over QPSK, making it more efficient for high data transmission rates in MBOFDM UWB systems.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Neural Network Approach to Railway Stand Lateral SKEW Controlcsandit
This document discusses using neural networks to control the lateral skew of a railway wheel set on an experimental railway stand (roller rig). It first describes the roller rig setup and issues with previous control methods using state feedback and cascade PID control. It then discusses using neural networks for adaptive identification and control of the lateral skew. Specifically, it examines using linear neural units and quadratic neural units trained with real-time recurrent learning or backpropagation through time. The results of applying these various neural network approaches to identify and control the lateral skew of the roller rig are analyzed.
Ternary Content Addressable Memory Types And Matchline SchemesIJERA Editor
Ternary Content Addressable Memory (TCAM) used in many application like network routers and packet classification. To reduce the power consumption of matchlines, the matchline partitioning scheme is used. Matchline is partitioned into NOR and NAND type matchline. If NAND (NOR) type TCAM cell is used then NAND (NOR) type matchline is used. NOR type TCAM has feature of high speed and high compare power. NAND type TCAM has low speed and low compare power. The NAND and NOR type matchlines are combined to form the pai-sigma matchlines. In pai segment the NAND type cells are connected in parallel to form the NAND type matchline. In sigma segment NOR type cells are connected in series to form the NOR type matchline. When compare operation is performed all NAND type matchlines are activated because switching power is low. Based on the match result of the NAND matchlines the NOR matchlines are activated because of high speed. The matchline incurs the problem of short circuit current due to mismatch and match result of NAND and NOR matchlines. NAND type matchline exist the problem of charge sharing when the search result of the NAND line is mismatches. This proposed TCAM has less compare (search) power compared to the NAND/NOR type TCAM cell.
This document summarizes a research paper that implemented Levenberg-Marquardt artificial neural network training using graphics processing unit (GPU) hardware acceleration. The key points are:
1) This appears to be the first description of implementing artificial neural networks using the Levenberg-Marquardt training method on a GPU.
2) The paper describes their approach for implementing the Levenberg-Marquardt algorithm on a GPU, which involves solving the matrix inversion operation that is typically computationally expensive.
3) Results show that training networks using the GPU implementation can be up to 10 times faster than using a CPU-only implementation on the same hardware.
A CAM is a device that used for search and store data and using comparison logic circuitry
implements the table lookup function in a single clock cycle. CAMs are main application of packet forwarding
and packet classification in Network routers [10]. A Ternary content addressable memory(TCAM) has three
type of states ‘0’,’1’ and ‘X’(don’t care) and which is like as binary CAM and has extra feature of searching
and storing. The ‘X’ option may be used as ‘0’ and ‘1’. TCAM performs high-speed search operation in a
deterministic time. This type of devices power and speed are the important. So, in this work a TCAM circuit is
designed by using butterfly match line (ML) Technique. The speed and power measures of the TCAM design and
the experimental results show that outflow power may be reduced compared with the traditional TCAM design.
This document presents a new technique to reduce power consumption and increase speed in Content Addressable Memory (CAM) using memory partition and clock gating. The proposed CAM design partitions the memory into segments based on the most significant bits to check for matches. Since most words fail to match in their segments, the search can be discontinued for those segments, reducing power and increasing speed. Clock gating is also used to power gate unused portions of the CAM, further reducing static and dynamic power. Simulation and analysis using Quartus II and ModelSim show the proposed design reduces total power dissipation from 369.9mW to 46.3mW compared to an existing design.
This document summarizes an article that optimizes the Okumura-Hata propagation model for 800MHz radio frequency in Yaounde, Cameroon using a Newton second order iterative algorithm. Radio measurements were collected through drive tests on an existing CDMA2000 network in Yaounde. The root mean squared error between predicted and measured values was calculated to validate the optimized model. A new model developed through this process was found to better represent the local environment compared to the standard Okumura-Hata model. The optimized model can be used for future radio network planning in Yaounde, such as for upcoming LTE deployment in the 800MHz band.
PERFORMANCE COMPARISON DCM VERSUS QPSK FOR HIGH DATA RATES IN THE MBOFDM UWB ...csandit
This document compares the performance of dual carrier modulation (DCM) versus quadrature phase shift keying (QPSK) for high data rates in a multiband orthogonal frequency division multiplexing (MB-OFDM) ultra wideband (UWB) system. Simulation results show that using DCM provides better performance than QPSK, with a gain of around 0.7 dB for a bit error rate of 10-3 at 320 Mbps data rates. DCM offers additional diversity and coding gains over QPSK, making it more efficient for high data transmission rates in MBOFDM UWB systems.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Neural Network Approach to Railway Stand Lateral SKEW Controlcsandit
This document discusses using neural networks to control the lateral skew of a railway wheel set on an experimental railway stand (roller rig). It first describes the roller rig setup and issues with previous control methods using state feedback and cascade PID control. It then discusses using neural networks for adaptive identification and control of the lateral skew. Specifically, it examines using linear neural units and quadratic neural units trained with real-time recurrent learning or backpropagation through time. The results of applying these various neural network approaches to identify and control the lateral skew of the roller rig are analyzed.
Ternary Content Addressable Memory Types And Matchline SchemesIJERA Editor
Ternary Content Addressable Memory (TCAM) used in many application like network routers and packet classification. To reduce the power consumption of matchlines, the matchline partitioning scheme is used. Matchline is partitioned into NOR and NAND type matchline. If NAND (NOR) type TCAM cell is used then NAND (NOR) type matchline is used. NOR type TCAM has feature of high speed and high compare power. NAND type TCAM has low speed and low compare power. The NAND and NOR type matchlines are combined to form the pai-sigma matchlines. In pai segment the NAND type cells are connected in parallel to form the NAND type matchline. In sigma segment NOR type cells are connected in series to form the NOR type matchline. When compare operation is performed all NAND type matchlines are activated because switching power is low. Based on the match result of the NAND matchlines the NOR matchlines are activated because of high speed. The matchline incurs the problem of short circuit current due to mismatch and match result of NAND and NOR matchlines. NAND type matchline exist the problem of charge sharing when the search result of the NAND line is mismatches. This proposed TCAM has less compare (search) power compared to the NAND/NOR type TCAM cell.
This document summarizes a research paper that implemented Levenberg-Marquardt artificial neural network training using graphics processing unit (GPU) hardware acceleration. The key points are:
1) This appears to be the first description of implementing artificial neural networks using the Levenberg-Marquardt training method on a GPU.
2) The paper describes their approach for implementing the Levenberg-Marquardt algorithm on a GPU, which involves solving the matrix inversion operation that is typically computationally expensive.
3) Results show that training networks using the GPU implementation can be up to 10 times faster than using a CPU-only implementation on the same hardware.
Development of an adaptive and a switched beammarwaeng
This document discusses the development of two smart antenna systems for wireless communications - an adaptive system and a switched beam system. The switched beam system uses Butler matrix beamforming networks to direct beams in both azimuth and elevation. The adaptive system uses vector modulators for adaptive beamforming in azimuth and Butler matrices for switched beams in elevation. Both systems were designed, simulated, and tested at 2.45GHz. Simulation results showed the adaptive system improved sidelobe levels and ability to steer beams compared to the switched beam system, though it has increased complexity. The switched beam system offers simpler and lower cost operation while maintaining good beamforming performance.
Newton-raphson method to solve systems of non-linear equations in VANET perfo...journalBEEI
This document discusses using the Newton-Raphson method to solve systems of non-linear equations to optimize VANET performance. It selects three MAC protocol parameters - transmission power, bitrate, and contention window - as variables. Simulations are run with different values of these parameters. The results for energy consumption, packet delivery ratio, and delay are used to derive three non-linear equations. The Newton-Raphson method is then applied to find the coefficients a, b, and c to optimize the objective function of minimizing energy*delay/PDR. Tables 4-6 show the objective function results for different parameter configurations.
Modified montgomery modular multiplier for cryptosystemsIAEME Publication
The document summarizes a new area-efficient algorithm called the Double Add Reduce (DAR) algorithm for Montgomery modular multiplication. The DAR algorithm modifies an existing carry-save addition (CSA) based Montgomery multiplier to reduce area. It replaces the CSA block with a double adder reduce block that computes the Montgomery product using two adders instead of CSA, lowering the overall area. The DAR block first doubles the multiplicand Y, then iteratively calculates the Montgomery product by adding the current value, the LSB of the current value times the modulus M, and the multiplicand times the doubled Y, before dividing the result by two.
The document proposes an approach to optimize energy consumption in automotive networks based on exploiting pretended networking. The approach performs static scheduling of tasks to allocate slack time for ECUs to enter a lower power pretended mode. It further optimizes by considering varying message response times in different vehicle states. An online algorithm then dynamically puts ECUs into pretended mode based on actual execution times, achieving additional energy savings compared to the static approach. Experimental results show the static approach can save up to 31.3% energy, and considering varying response times provides an additional 8.2% savings.
This document proposes an improved position-based power aware routing algorithm for mobile ad-hoc networks. It introduces using a weighted metric of remaining battery power, speed, and distance of nodes to determine routes. The existing MFR (Most Forward within Radius) algorithm does not consider factors like battery power and speed differences, which can lead to unreliable communication or packet loss. The proposed algorithm uses a weighted combination of distance, velocity, and battery power metrics to select routes, aiming to balance load, increase network lifetime, and improve network performance compared to MFR. Simulation results showed the proposed algorithm reduces packet loss and increases throughput compared to MFR.
Energy-Aware Multipath Routing Scheme Based on Particle Swarm Optimization (E...IRJET Journal
The document presents an energy-aware multipath routing scheme called EMPSO for mobile ad hoc networks. EMPSO selects routes based on energy, transmission cost, and optimal path ratio using particle swarm optimization (PSO). It operates in three phases: 1) route setup builds neighbor tables with transmission costs, 2) route discovery finds multiple paths and calculates reliability measures using continuous time recurrent neural networks and PSO to select the best path, 3) route maintenance handles path failures. Simulation results show EMPSO improves packet delivery ratio, reduces overhead and delay, and increases throughput while decreasing total energy consumption compared to the AOMDV routing protocol.
A-OLSR: ANFIS based OLSR to select Multi point relayIJECEIAES
The characteristics like dynamic topology, power consumption, mobility etc. may leads to affect the routing process of packet as it progresses from one node to another node. The energy of each node is very limited in MANET’s due to which it becomes an important parameter to be considered while selecting the route. The ‘Optimized Link State Routing Protocol’ (OLSR) does not consider node energy during Multipoint relay (MPR) selection process. This paper proposes an improvement of OLSR routing protocol named as A-OLSR protocol using node energy during its MPR process. The improvement is based on adaptive neuro fuzzy inference system (ANFIS). The network simulator NS2.35 is used for the simulation, random way point model for mobility and constant bit rate (CBR) for traffic process. The performance of proposed A-OLSR protocol is evaluated using the packet delivery ratio (PDR) and end to end delay metrices. The simulation results prove the superiority of the proposed protocol in terms of PDR.
A Uniform Implementation Scheme for Evolutionary Optimization Algorithms and ...nizhonglian
This document presents a uniform implementation scheme for applying evolutionary algorithms like ant colony optimization (ACO) to maximum power point tracking (MPPT) in photovoltaic (PV) systems. The key points are:
1) A uniform procedure is proposed that allows various evolutionary algorithms to be applied to PV systems with different architectures (centralized, string-based, module-level etc.) using only one MPPT controller.
2) This reduces the number of required voltage/current sensors compared to individual MPPT controllers at each string/module.
3) The effectiveness of an ACO-based MPPT is demonstrated through simulations and experimental testing on a PV string under uniform and partial shading conditions.
New scheme for PAPR reduction in FBMC-OQAM systems based on combining TR and ...IJECEIAES
This paper proposes a new hybrid technique called TR&DC that combines tone reservation (TR) and deep clipping (DC) to reduce the peak-to-average power ratio (PAPR) in filter bank multi-carrier with offset quadrature amplitude modulation (FBMC-OQAM) systems. The TR&DC scheme first applies the TR method to the FBMC-OQAM signal, then performs deep clipping on the resulting signal to further reduce any remaining high peaks. Simulation results show the TR&DC approach provides better PAPR reduction than TR alone, reducing the PAPR from 10.1 dB for the original signal to 7.2 dB, a gain of around 2.9 dB. The performance is not
Fuzzy and predictive control of a photovoltaic pumping system based on three-...journalBEEI
1) The document proposes control schemes for a photovoltaic pumping system based on a three-level boost converter and induction motor. A fuzzy logic controller is used for maximum power point tracking and a phase shift technique balances the voltages across the converter capacitors.
2) A cascaded nonlinear predictive controller is applied to control the induction motor, offering advantages over conventional field-oriented control such as improved torque response and parameter sensitivity.
3) Simulation results show the proposed controllers increase hydraulic power by up to 23% during startup and 10% in steady state compared to conventional controllers.
Low cost high-performance vlsi architecture for montgomery modular multiplica...jpstudcorner
The document proposes a low-cost and high-performance Montgomery modular multiplication algorithm and VLSI architecture. It uses a single-level carry-save adder to perform additions, reducing carry propagation and improving speed but requiring extra clock cycles. To address this, it introduces a configurable carry-save adder that can reduce the extra clock cycles by half. It also detects unnecessary additions to further improve throughput while maintaining short critical path delays. Experimental results show improved performance and area-time efficiency over previous designs.
11.[10 14]dynamic instruction scheduling for microprocessors having out of or...Alexander Decker
This document summarizes a research paper on dynamic instruction scheduling for microprocessors with out-of-order execution. The paper proposes grouping instructions together to reduce the complexity and energy consumption of the scheduling logic. Grouping instructions allows the logic to hold and issue more instructions without increasing hardware resources like queue size. Experimental results show the proposed technique reduces energy usage in the scheduling stages by up to 58% with some performance decrease as queue size decreases. The paper analyzes performance and energy impact with varying queue sizes using SPEC CPU2000 benchmarks.
Efficient Planning and Offline Routing Approaches for IP NetworksEM Legacy
This document discusses routing and traffic engineering approaches for IP networks. It covers several topics: metric-based traffic engineering in classical IP networks using hybrid genetic algorithms; routing and re-optimization under partial demand increases; routing and dimensioning in multi-class IP/MPLS networks with per-class over-provisioning; and heuristic approaches for backup capacity provisioning under demand uncertainty. The document outlines computational studies demonstrating the effectiveness of the proposed approaches.
An Optimized Device Sizing of Two-Stage CMOS OP-AMP Using Multi-Objective Gen...ijcisjournal
A novel approach for optimizing the transistor dimensions of two stage CMOS op-amp using MultiObjective
Genetic Algorithm (MOGA) is presented. The proposed approach is used to find the optimal
dimensions of each transistor to improve op-amp performances for analog and mixed signal integrated
circuit design. The aim is to automatically determine the device sizes to meet the given performance
specifications while minimizing the cost function such as power dissipation and a weighted sum of the
active area. This strongly suggests that the approach is capable of determining the globally optimal
solutions to the problem. Exactness of performance prediction in the device sizing program (implemented
in MATLAB) maintained. Here Six parameters are considered i.e., open loop gain, Phase Margin (PM),
Area (A), Bandwidth of unity Gain (UGB), Power Consumption (P) and Slew Rate (SR). The circuit is
simulated in cadence(Virtuoso Spectre) 0.18um CMOS technology.
Low cost high-performance vlsi architecture for montgomery modular multiplica...LogicMindtech Nologies
This paper proposes an efficient Montgomery multiplication algorithm for modular multiplication that uses a single-level carry-save adder to avoid carry propagation and reduce hardware costs. A configurable carry-save adder is also introduced to decrease the extra clock cycles needed for operand precomputation and format conversion by half. Additionally, a mechanism is developed to detect and skip unnecessary carry-save addition operations to maintain short critical path delays while hiding the extra clock cycles. Experimental results showed that the proposed Montgomery modular multiplier achieves higher performance and lower area-time costs compared to previous designs.
A NEW TOOL FOR LARGE SCALE POWER SYSTEM TRANSIENT SECURITY ASSESSMENTPower System Operation
This document proposes a new method for fast assessment of transient security power limits in large power systems using neural networks. It establishes a nonlinear mapping between transient energy margin and generator power at different fault clearing times and load levels using a self-organizing map. The transient security power limits of generators can then be estimated very quickly by inputting fault clearing time and load level data. Testing on a sample power system shows the proposed method can accurately estimate security limits without needing to calculate analytical sensitivities, providing faster results than traditional methods.
Traffic Light Signal Parameters Optimization Using Modification of Multielement...IJECEIAES
The document describes a modification to the Multielement Genetic Algorithm (MEGA) called H-MEGA to optimize traffic light signal parameters and reduce traffic congestion. H-MEGA adds a hash table to store the best populations found so far to guide the recombination process. Testing showed H-MEGA improved vehicle throughput over the original MEGA and Particle Swarm Optimization methods by 10-21% on a road network in Kumamoto City, Japan.
An Unmanned Rotorcraft System with Embedded DesignIOSR Journals
This document describes the design and implementation of an embedded control system for an unmanned rotorcraft. It uses a backstepping control law with state estimation provided by an extended Kalman filter using data from a marker-based vision system and inertial measurement unit. A self-organizing map is used to select local operating regimes for modeling the nonlinear dynamics. The control algorithm was tested in a hardware-in-the-loop simulation and able to track spiral paths in 3D space with the embedded controller implemented on a Freescale MPC555 processor.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
This document describes a system for reconfiguring memory to enable high-speed matrix multiplication. The system uses three RAMs (MAT-RAM-A, MAT-RAM-B, MAT-RAM-C) that can be configured in two modes: mode 1 where they act as extensions of the processor's memory, and mode 2 where MAT-RAM-A and MAT-RAM-B store input matrices and MAT-RAM-C stores the output matrix. In mode 2, an external control unit performs the multiplication and stores results directly in MAT-RAM-C, bypassing the processor to greatly increase speed compared to traditional methods. The RAMs are then switched back to mode 1 so results can be accessed normally.
Colour Image Segmentation Using Soft Rough Fuzzy-C-Means and Multi Class SVM ijcisjournal
Color image segmentation algorithms in the literature segment an image on the basis of color, texture, and
also as a fusion of both color and texture. In this paper, a color image segmentation algorithm is proposed
by extracting both texture and color features and applying them to the One-Against-All Multi Class Support
Vector Machine classifier for segmentation. A novel Power Law Descriptor (PLD) is used for extracting
the textural features and homogeneity model is used for obtaining the color features. The Multi Class SVM
is trained using the samples obtained from Soft Rough Fuzzy-C-Means (SRFCM) clustering. Fuzzy set
based membership functions capably handle the problem of overlapping clusters. The lower and upper
approximation concepts of rough sets deal well with uncertainty, vagueness, and incompleteness in data.
Parameterization tools are not a prerequisite in defining Soft set theory. The goodness aspects of soft sets,
rough sets and fuzzy sets are incorporated in the proposed algorithm to achieve improved segmentation
performance. The Power Law Descriptor used for texture feature extraction has the advantage of being
dealt in the spatial domain thereby reducing computational complexity. The proposed algorithm is
comparable and achieved better performance compared with the state of the art algorithms found in the
literature.
Development of an adaptive and a switched beammarwaeng
This document discusses the development of two smart antenna systems for wireless communications - an adaptive system and a switched beam system. The switched beam system uses Butler matrix beamforming networks to direct beams in both azimuth and elevation. The adaptive system uses vector modulators for adaptive beamforming in azimuth and Butler matrices for switched beams in elevation. Both systems were designed, simulated, and tested at 2.45GHz. Simulation results showed the adaptive system improved sidelobe levels and ability to steer beams compared to the switched beam system, though it has increased complexity. The switched beam system offers simpler and lower cost operation while maintaining good beamforming performance.
Newton-raphson method to solve systems of non-linear equations in VANET perfo...journalBEEI
This document discusses using the Newton-Raphson method to solve systems of non-linear equations to optimize VANET performance. It selects three MAC protocol parameters - transmission power, bitrate, and contention window - as variables. Simulations are run with different values of these parameters. The results for energy consumption, packet delivery ratio, and delay are used to derive three non-linear equations. The Newton-Raphson method is then applied to find the coefficients a, b, and c to optimize the objective function of minimizing energy*delay/PDR. Tables 4-6 show the objective function results for different parameter configurations.
Modified montgomery modular multiplier for cryptosystemsIAEME Publication
The document summarizes a new area-efficient algorithm called the Double Add Reduce (DAR) algorithm for Montgomery modular multiplication. The DAR algorithm modifies an existing carry-save addition (CSA) based Montgomery multiplier to reduce area. It replaces the CSA block with a double adder reduce block that computes the Montgomery product using two adders instead of CSA, lowering the overall area. The DAR block first doubles the multiplicand Y, then iteratively calculates the Montgomery product by adding the current value, the LSB of the current value times the modulus M, and the multiplicand times the doubled Y, before dividing the result by two.
The document proposes an approach to optimize energy consumption in automotive networks based on exploiting pretended networking. The approach performs static scheduling of tasks to allocate slack time for ECUs to enter a lower power pretended mode. It further optimizes by considering varying message response times in different vehicle states. An online algorithm then dynamically puts ECUs into pretended mode based on actual execution times, achieving additional energy savings compared to the static approach. Experimental results show the static approach can save up to 31.3% energy, and considering varying response times provides an additional 8.2% savings.
This document proposes an improved position-based power aware routing algorithm for mobile ad-hoc networks. It introduces using a weighted metric of remaining battery power, speed, and distance of nodes to determine routes. The existing MFR (Most Forward within Radius) algorithm does not consider factors like battery power and speed differences, which can lead to unreliable communication or packet loss. The proposed algorithm uses a weighted combination of distance, velocity, and battery power metrics to select routes, aiming to balance load, increase network lifetime, and improve network performance compared to MFR. Simulation results showed the proposed algorithm reduces packet loss and increases throughput compared to MFR.
Energy-Aware Multipath Routing Scheme Based on Particle Swarm Optimization (E...IRJET Journal
The document presents an energy-aware multipath routing scheme called EMPSO for mobile ad hoc networks. EMPSO selects routes based on energy, transmission cost, and optimal path ratio using particle swarm optimization (PSO). It operates in three phases: 1) route setup builds neighbor tables with transmission costs, 2) route discovery finds multiple paths and calculates reliability measures using continuous time recurrent neural networks and PSO to select the best path, 3) route maintenance handles path failures. Simulation results show EMPSO improves packet delivery ratio, reduces overhead and delay, and increases throughput while decreasing total energy consumption compared to the AOMDV routing protocol.
A-OLSR: ANFIS based OLSR to select Multi point relayIJECEIAES
The characteristics like dynamic topology, power consumption, mobility etc. may leads to affect the routing process of packet as it progresses from one node to another node. The energy of each node is very limited in MANET’s due to which it becomes an important parameter to be considered while selecting the route. The ‘Optimized Link State Routing Protocol’ (OLSR) does not consider node energy during Multipoint relay (MPR) selection process. This paper proposes an improvement of OLSR routing protocol named as A-OLSR protocol using node energy during its MPR process. The improvement is based on adaptive neuro fuzzy inference system (ANFIS). The network simulator NS2.35 is used for the simulation, random way point model for mobility and constant bit rate (CBR) for traffic process. The performance of proposed A-OLSR protocol is evaluated using the packet delivery ratio (PDR) and end to end delay metrices. The simulation results prove the superiority of the proposed protocol in terms of PDR.
A Uniform Implementation Scheme for Evolutionary Optimization Algorithms and ...nizhonglian
This document presents a uniform implementation scheme for applying evolutionary algorithms like ant colony optimization (ACO) to maximum power point tracking (MPPT) in photovoltaic (PV) systems. The key points are:
1) A uniform procedure is proposed that allows various evolutionary algorithms to be applied to PV systems with different architectures (centralized, string-based, module-level etc.) using only one MPPT controller.
2) This reduces the number of required voltage/current sensors compared to individual MPPT controllers at each string/module.
3) The effectiveness of an ACO-based MPPT is demonstrated through simulations and experimental testing on a PV string under uniform and partial shading conditions.
New scheme for PAPR reduction in FBMC-OQAM systems based on combining TR and ...IJECEIAES
This paper proposes a new hybrid technique called TR&DC that combines tone reservation (TR) and deep clipping (DC) to reduce the peak-to-average power ratio (PAPR) in filter bank multi-carrier with offset quadrature amplitude modulation (FBMC-OQAM) systems. The TR&DC scheme first applies the TR method to the FBMC-OQAM signal, then performs deep clipping on the resulting signal to further reduce any remaining high peaks. Simulation results show the TR&DC approach provides better PAPR reduction than TR alone, reducing the PAPR from 10.1 dB for the original signal to 7.2 dB, a gain of around 2.9 dB. The performance is not
Fuzzy and predictive control of a photovoltaic pumping system based on three-...journalBEEI
1) The document proposes control schemes for a photovoltaic pumping system based on a three-level boost converter and induction motor. A fuzzy logic controller is used for maximum power point tracking and a phase shift technique balances the voltages across the converter capacitors.
2) A cascaded nonlinear predictive controller is applied to control the induction motor, offering advantages over conventional field-oriented control such as improved torque response and parameter sensitivity.
3) Simulation results show the proposed controllers increase hydraulic power by up to 23% during startup and 10% in steady state compared to conventional controllers.
Low cost high-performance vlsi architecture for montgomery modular multiplica...jpstudcorner
The document proposes a low-cost and high-performance Montgomery modular multiplication algorithm and VLSI architecture. It uses a single-level carry-save adder to perform additions, reducing carry propagation and improving speed but requiring extra clock cycles. To address this, it introduces a configurable carry-save adder that can reduce the extra clock cycles by half. It also detects unnecessary additions to further improve throughput while maintaining short critical path delays. Experimental results show improved performance and area-time efficiency over previous designs.
11.[10 14]dynamic instruction scheduling for microprocessors having out of or...Alexander Decker
This document summarizes a research paper on dynamic instruction scheduling for microprocessors with out-of-order execution. The paper proposes grouping instructions together to reduce the complexity and energy consumption of the scheduling logic. Grouping instructions allows the logic to hold and issue more instructions without increasing hardware resources like queue size. Experimental results show the proposed technique reduces energy usage in the scheduling stages by up to 58% with some performance decrease as queue size decreases. The paper analyzes performance and energy impact with varying queue sizes using SPEC CPU2000 benchmarks.
Efficient Planning and Offline Routing Approaches for IP NetworksEM Legacy
This document discusses routing and traffic engineering approaches for IP networks. It covers several topics: metric-based traffic engineering in classical IP networks using hybrid genetic algorithms; routing and re-optimization under partial demand increases; routing and dimensioning in multi-class IP/MPLS networks with per-class over-provisioning; and heuristic approaches for backup capacity provisioning under demand uncertainty. The document outlines computational studies demonstrating the effectiveness of the proposed approaches.
An Optimized Device Sizing of Two-Stage CMOS OP-AMP Using Multi-Objective Gen...ijcisjournal
A novel approach for optimizing the transistor dimensions of two stage CMOS op-amp using MultiObjective
Genetic Algorithm (MOGA) is presented. The proposed approach is used to find the optimal
dimensions of each transistor to improve op-amp performances for analog and mixed signal integrated
circuit design. The aim is to automatically determine the device sizes to meet the given performance
specifications while minimizing the cost function such as power dissipation and a weighted sum of the
active area. This strongly suggests that the approach is capable of determining the globally optimal
solutions to the problem. Exactness of performance prediction in the device sizing program (implemented
in MATLAB) maintained. Here Six parameters are considered i.e., open loop gain, Phase Margin (PM),
Area (A), Bandwidth of unity Gain (UGB), Power Consumption (P) and Slew Rate (SR). The circuit is
simulated in cadence(Virtuoso Spectre) 0.18um CMOS technology.
Low cost high-performance vlsi architecture for montgomery modular multiplica...LogicMindtech Nologies
This paper proposes an efficient Montgomery multiplication algorithm for modular multiplication that uses a single-level carry-save adder to avoid carry propagation and reduce hardware costs. A configurable carry-save adder is also introduced to decrease the extra clock cycles needed for operand precomputation and format conversion by half. Additionally, a mechanism is developed to detect and skip unnecessary carry-save addition operations to maintain short critical path delays while hiding the extra clock cycles. Experimental results showed that the proposed Montgomery modular multiplier achieves higher performance and lower area-time costs compared to previous designs.
A NEW TOOL FOR LARGE SCALE POWER SYSTEM TRANSIENT SECURITY ASSESSMENTPower System Operation
This document proposes a new method for fast assessment of transient security power limits in large power systems using neural networks. It establishes a nonlinear mapping between transient energy margin and generator power at different fault clearing times and load levels using a self-organizing map. The transient security power limits of generators can then be estimated very quickly by inputting fault clearing time and load level data. Testing on a sample power system shows the proposed method can accurately estimate security limits without needing to calculate analytical sensitivities, providing faster results than traditional methods.
Traffic Light Signal Parameters Optimization Using Modification of Multielement...IJECEIAES
The document describes a modification to the Multielement Genetic Algorithm (MEGA) called H-MEGA to optimize traffic light signal parameters and reduce traffic congestion. H-MEGA adds a hash table to store the best populations found so far to guide the recombination process. Testing showed H-MEGA improved vehicle throughput over the original MEGA and Particle Swarm Optimization methods by 10-21% on a road network in Kumamoto City, Japan.
An Unmanned Rotorcraft System with Embedded DesignIOSR Journals
This document describes the design and implementation of an embedded control system for an unmanned rotorcraft. It uses a backstepping control law with state estimation provided by an extended Kalman filter using data from a marker-based vision system and inertial measurement unit. A self-organizing map is used to select local operating regimes for modeling the nonlinear dynamics. The control algorithm was tested in a hardware-in-the-loop simulation and able to track spiral paths in 3D space with the embedded controller implemented on a Freescale MPC555 processor.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
This document describes a system for reconfiguring memory to enable high-speed matrix multiplication. The system uses three RAMs (MAT-RAM-A, MAT-RAM-B, MAT-RAM-C) that can be configured in two modes: mode 1 where they act as extensions of the processor's memory, and mode 2 where MAT-RAM-A and MAT-RAM-B store input matrices and MAT-RAM-C stores the output matrix. In mode 2, an external control unit performs the multiplication and stores results directly in MAT-RAM-C, bypassing the processor to greatly increase speed compared to traditional methods. The RAMs are then switched back to mode 1 so results can be accessed normally.
Colour Image Segmentation Using Soft Rough Fuzzy-C-Means and Multi Class SVM ijcisjournal
Color image segmentation algorithms in the literature segment an image on the basis of color, texture, and
also as a fusion of both color and texture. In this paper, a color image segmentation algorithm is proposed
by extracting both texture and color features and applying them to the One-Against-All Multi Class Support
Vector Machine classifier for segmentation. A novel Power Law Descriptor (PLD) is used for extracting
the textural features and homogeneity model is used for obtaining the color features. The Multi Class SVM
is trained using the samples obtained from Soft Rough Fuzzy-C-Means (SRFCM) clustering. Fuzzy set
based membership functions capably handle the problem of overlapping clusters. The lower and upper
approximation concepts of rough sets deal well with uncertainty, vagueness, and incompleteness in data.
Parameterization tools are not a prerequisite in defining Soft set theory. The goodness aspects of soft sets,
rough sets and fuzzy sets are incorporated in the proposed algorithm to achieve improved segmentation
performance. The Power Law Descriptor used for texture feature extraction has the advantage of being
dealt in the spatial domain thereby reducing computational complexity. The proposed algorithm is
comparable and achieved better performance compared with the state of the art algorithms found in the
literature.
A Comprehensive Study on Big Data Applications and Challengesijcisjournal
Big Data has gained much interest from the academia and the IT industry. In the digital and computing
world, information is generated and collected at a rate that quickly exceeds the boundary range. As
information is transferred and shared at light speed on optic fiber and wireless networks, the volume of
data and the speed of market growth increase. Conversely, the fast growth rate of such large data
generates copious challenges, such as the rapid growth of data, transfer speed, diverse data, and security.
Even so, Big Data is still in its early stage, and the domain has not been reviewed in general. Hence, this
study expansively surveys and classifies an assortment of attributes of Big Data, including its nature,
definitions, rapid growth rate, volume, management, analysis, and security. This study also proposes a
data life cycle that uses the technologies and terminologies of Big Data. Map/Reduce is a programming
model for efficient distributed computing. It works well with semi-structured and unstructured data. A
simple model but good for a lot of applications like Log processing and Web index building.
Arduino Based Abnormal Heart Rate Detection and Wireless Communicationijcisjournal
This document describes the development of a system to monitor a patient's heart rate using a photoplethysmograph (PPG) sensor and send alerts via SMS if any abnormalities are detected. The system interfaces an Arduino board with a 3G shield to send SMS messages. It analyzes the PPG signal to determine heart rate and sends an SMS to a doctor if the rate is abnormal. The system was tested and able to successfully make calls, send SMS messages, and monitor heart rate using the PPG sensor and Arduino.
El documento habla sobre dos acontecimientos trascendentales para la Iglesia ecuatoriana: la reforma educativa y la institución educativa en pastoral. Argumenta que ambos eventos comparten un objetivo común de cambio y liberación. Además, explica que la reforma educativa busca regular y normar la vida y los procesos sociales para lograr la realización plena de las personas, mientras que la institución educativa en pastoral no reemplaza al currículo pedagógico existente.
Glaucoma Disease Diagnosis Using Feed Forward Neural Network ijcisjournal
Glaucoma is an eye disease which damages the optic nerve and or loss of the field of vision which leads to
complete blindness caused by the pressure buildup by the fluid of the eye i.e. the intraocular pressure
(IOP). This optic disorder with a gradual loss of the field of vision leads to progressive and irreversible
blindness, so it should be diagnosed and treated properly at an early stage. In this paper,
thedaubechies(db3) or symlets (sym3)and reverse biorthogonal (rbio3.7) wavelet filters are employed for
obtaining average and energy texture feature which are used to classify glaucoma disease with high
accuracy. The Feed-Forward neural network classifies the glaucoma disease with an accuracy of 96.67%.
In this work, the computational complexity is minimized by reducing the number of filters while retaining
the same accuracy.
This document contains summaries of 5 photos: 1) A graduation certificate from 2012 demonstrating completion of grade 12 in Canada. 2) A winter activity day playing curling with classmates to improve cooperation. 3) A group preparing a finance investment presentation, discussing problems and preparing information to successfully complete the presentation. 4) Participating in a tree planting event in Miliken Park to increase awareness of greening and environmental issues. 5) Visiting the St. Lawrence Market and seeing freshly foods and a newlywed couple taking photos, sharing in their happiness.
Analogy Fault Model for Biquad Filter by Using Vectorisation Method ijcisjournal
In this paper a simple shortcoming model for a CMOS exchanged capacitor low pass channel is tried. The
exchanged capacitor (SC) low pass channel circuit is modularized into practical macros. These useful
macros incorporate OPAMP, switches and capacitors. The circuit is distinguished as flawed if the
recurrence reaction of the exchange capacity does not meet the configuration detail. The sign stream chart
(SFG) models of the considerable number of macros are investigated to get the broken exchange capacity
of the circuit under test (CUT). A CMOS exchanged capacitor low pass channel for sign recipient
applications is picked as a case to exhibit the testing of the simple shortcoming model. To find out error is
to calculate EIGEN values and EIGEN vectors is to detect the error of each component and parameters
Prototyping of Wireless Sensor Network for Precision Agriculture ijcisjournal
Now-a-days the climatic conditions are not same and predictable. More over the wireless sensor network
[1] carved path in many applications. There are many manual methods to cultivate a healthy crop which
involves a lot of manpower. Hence there is a need to design a system for precision agriculture. Precision
agriculture means giving the correct input to the crops at the right time. This paper explains how the real
input is given to the crops according to the environment change [2]. This system design uses Arduino Uno
.The values which are measured by the sensors are transmitted to a centralized device which is Zigbee
(coordinator). After the values received by the Zigbee, according to those values precise decision will be
taken by the experts.
Design Verification and Test Vector Minimization Using Heuristic Method of a ...ijcisjournal
The reduction in feature size increases the probability of manufacturing defect in the IC will result in a
faulty chip. A very small defect can easily result in a faulty transistor or interconnecting wire when the
feature size is less. Testing is required to guarantee fault-free products, regardless of whether the product
is a VLSI device or an electronic system. Simulation is used to verify the correctness of the design. To test n
input circuit we required 2n
test vectors. As the number inputs of a circuit are more, the exponential growth
of the required number of vectors takes much time to test the circuit. It is necessary to find testing methods
to reduce test vectors . So here designed an heuristic approach to test the ripple carry adder. Modelsim and
Xilinx tools are used to verify and synthesize the design.
Analysis of Inertial Sensor Data Using Trajectory Recognition Algorithmijcisjournal
This paper describes a digital pen based on IMU sensor for gesture and handwritten digit gesture
trajectory recognition applications. This project allows human and Pc interaction. Handwriting
Recognition is mainly used for applications in the field of security and authentication. By using embedded
pen the user can make hand gesture or write a digit and also an alphabetical character. The embedded pen
contains an inertial sensor, microcontroller and a module having Zigbee wireless transmitter for creating
handwriting and trajectories using gestures. The propound trajectory recognition algorithm constitute the
sensing signal attainment, pre-processing techniques, feature origination, feature extraction, classification
technique. The user hand motion is measured using the sensor and the sensing information is wirelessly
imparted to PC for recognition. In this process initially excerpt the time domain and frequency domain
features from pre-processed signal, later it performs linear discriminant analysis in order to represent
features with reduced dimension. The dimensionally reduced features are processed with two classifiers –
State Vector Machine (SVM) and k-Nearest Neighbour (kNN). Through this algorithm with SVM classifier
provides recognition rate is 98.5% and with kNN classifier recognition rate is 95.5% .
Two-Dimensional Object Detection Using Accumulated Cell Average Constant Fals...ijcisjournal
The extensive work in SONAR is oceanic Engineering which is one of the most developing researches in
engineering. The SideScan Sonars (SSS) are one of the most utilized devices to obtain acoustic images of
the seafloor. This paper proposes an approach for developing an efficient system for automatic object
detection utilizing the technique of accumulated cell average-constant false alarm rate in 2D (ACA-CFAR-
2D), where the optimization of the computational effort is achieved. This approach employs image
segmentation as preprocessing step for object detection, which have provided similar results with other
approaches like undecimated discrete wavelet transform (UDWT), watershed and active contour
techniques. The SSS sea bottom images are segmented for the 2D object detection using these four
techniques and the segmented images are compared along with the experimental results of the proportion
of segmented image (P) and runtime in seconds (T) are presented.
1) Money serves as a medium of exchange, unit of account, standard for deferred payments, and store of value. Coins, notes, and bank accounts are common forms of money. Central banks issue currency, regulate commercial banks, and implement monetary policy. Commercial banks accept deposits, make loans, and offer related services.
2) Factors that influence individuals' occupation choices include wages, job satisfaction, working conditions, hours, career prospects, and location. Training workers increases skills and productivity. Wage rises boost living standards but can increase costs for firms. Large companies offer benefits like training and job security.
3) Differences in earnings exist between public and private sectors, skilled and unskilled workers, services
Design and Fabrication of S-Band MIC Power Amplifierijcisjournal
In this paper, we demonstrate an approach to design FET (pHEMT) based amplifier. The FET is from
Berex Inc.The design is carried out using the measured S-parameter data of the FET.ADS is used as design
tool for the design. A single-stage power amplifier demonstrated 13dB output gain from 3GHz-4GHz .The
saturated output power of 1W and the power added efficiency (PAE) up to 43%.The amplifier is fabricated
on a selective device GaAs power pHEMT process in MIC (Microwave Integrated Circuit) Technology.
MICs are realized using one or more different forms of transmission lines, all characterized by their ability
to be printed on a dielectric substrate.Active and passive components such as transistors/FET, thin or thick
film chip capacitors and resistors are attached
A Design of Double Swastika Slot Microstrip Antenna for Ultra Wide Band and W...ijcisjournal
This paper presents a design of double Swastika Slot Micro-strip Antenna which can be used in UWB and
WiMAX Applications. The proposed antenna operates at resonant frequencies 3GHz and 3.11 GHz. At
3GHz obtained value of VSWR is 1 and return loss is -42dB and at 3.11 GHz VSWR is 1.7 and return loss
is -12dB. RT Duroid having dielectric constant 2.2 is used as substrate. Here the double Swastika slot
Antenna is fed with the coaxial feeding technique.
Este documento presenta una guía sobre el estilo APA para la redacción de trabajos de investigación. Explica el formato general, el orden de las partes, las citas en el texto, la lista de referencias y los diferentes tipos de fuentes como artículos, libros, informes y materiales legales. El objetivo es proveer una introducción a los aspectos más importantes del Manual de Publicaciones de la APA para la correcta redacción y citación de fuentes.
Performance analysis of NOR CAM cell using CMOS-HP, CMOS-LP and FinFET 16nm t...IRJET Journal
This document presents a performance analysis and comparison of NOR CAM cell designs implemented using CMOS-LP, CMOS-HP, and FinFET 16nm technologies. It describes the functionality of NOR CAM cells and different circuit implementations, including ones using XNOR transistor logic, XNOR transmission gate logic, and a novel XNOR switch stack logic. Simulation results show that the FinFET implementation has 15-19% lower power dissipation for BCAM cells and 19-25% lower power for TCAM cells compared to the CMOS-LP and CMOS-HP implementations. The FinFET implementation also has shorter delay times.
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
CONTROL OF AN INDUCTION MOTOR WITH DOUBLE ANN MODEL BASED DTCcsandit
Direct torque control (DTC) is preferably control method on high performance control of induction motors due to its dvantages such as fast dynamic response, simple and robust control structure. However, high torque and current ripples are mostly faced problems in this control method. This paper presents artificial neural network (ANN) based approach to the DTC method to overcome mentioned problems. In the study, by taking a different perspective to ANN and DTC integration, two different ANN models have been designed, trained and implemented. The first ANN model has been used for switch selecting process and the second one has been used for sector determine process. Matlab/Simulink model of the proposed ANN based DTC method has created in order to compare with the conventional DTC and the proposed DTC
methods. The simulation studies have proved that the induction motor torque and current
ripples have been reduced remarkably with the proposed method and this approach can be a
good alternative to the conventional DTC method for induction motor control
Comparison of the speedy estimate methods of the induction motorsTELKOMNIKA JOURNAL
This paper deals with a novel method to achieve the effective performance of the extended Kalman filter (EKF) for the speedy estimate of an induction motor. The real coding genetic algorithm (GA) is used to optimize the components of the covariance matrix in the EKF, thus ensuring the stability and accuracy of the filter in the speed estimation. The advantage of the proposed method is less dependent on the parameters of the induction motor. The content includes the vector control model for induction motor, the speed estimation by modeling the reference frame-model reference adaptive system (RF-MRAS), the current based-model reference adaptive system (CB-MRAS), and the speed estimation with the EKF optimized by genetic algorithm. Simulative studies on the field-oriented controller (FOC) with different operating conditions are performed in Matlab Simulink when the rotor resistance changes in the current speed estimation methods. The simulation results demonstrate the efficiency of the proposed GA-EKF filter compared with other speed estimation methods of induction motors.
Study and Analysis of Low Power SRAM Memory Array at nano-scaled TechnologyIRJET Journal
This document summarizes a study analyzing the design of low-power SRAM memory arrays at nano-scaled CMOS technology. The study adapts a multi-threshold CMOS design to create a novel low-power 6T SRAM cell that can reduce power usage and access time by using transistors with different threshold voltages. Simulation results show that leakage power can be significantly reduced in the idle state, lowering overall power consumption. Various SRAM cell designs are reviewed and a 1KB SRAM memory array is implemented using the proposed low-power 6T SRAM cell to validate the approach.
This document discusses the use of adaptive modulation and coding (AMC) techniques in wireless communication systems to improve throughput and error performance. It presents two AMC techniques: 1) a channel state technique that adapts the modulation and coding scheme based on channel attenuation levels to maximize throughput, and 2) a target block error rate (BLER) technique that selects modulation and coding schemes to maintain error rates below a target level. Simulation results show that AMC techniques can achieve better throughput and error probability performance than fixed modulation and coding schemes. The document concludes that AMC satisfies different quality of service constraints for throughput and error rate.
A high speed low power cam with a parity bit andvaalgin
This summarizes a technical document about improving content addressable memory (CAM) designs.
1) It introduces a parity bit that reduces sensing delay by 39% with less than 1% overhead, by making the 1-mismatch case look like 2 mismatches.
2) It proposes a power gating technique that reduces peak and average power by automatically turning off power to unused comparison elements, lowering average power consumption by 64%.
3) The techniques aim to improve speed, power, and robustness of CAM designs against process variations while allowing operation down to 0.5V supply voltage.
A HIGH SPEED LOW POWER CAM AND TCAM WITH A PARITY BIT AND POWER GATED ML SENSINGpharmaindexing
The document describes a proposed improvement to content addressable memory (CAM) to reduce power consumption and increase search speed. It introduces using a parity bit that requires less than 1% additional area and power overhead but can reduce sensing delay by 39% by making the 1-mismatch case stronger. It also proposes a power gated sense amplifier that can auto-turn off power to unused comparison elements and reduce average power consumption by 64%. The design can operate down to 0.5V supply voltage.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9791938249
Telephone: 0413-2211159.
Improved EPRCA Congestion Control Scheme for ATM NetworksEswar Publications
Traffic management and congestion control are major issues in Asynchronous Transfer Mode(ATM) networks. Congestion arises when traffic in the network is more than offered load. The primary function of congestion control is to ensure good throughput and low delay performance while maintaining a fair allocation of network resources to users. In this paper, Enhanced Proportional Rate based Congestion Avoidance (EPRCA) scheme proposed by ATM forum has been considered. But this scheme has limitation of higher cell drop problem for the bursty traffic. Improvements to EPRCA scheme have been proposed to reduce cell drop problem and results of
improved EPRCA schemes were analyzed with basic EPRCA scheme.
This document describes research on an efficient reconfigurable content addressable memory (CAM). CAM is a type of memory that can perform high-speed searches. It introduces a cache-CAM (C-CAM) that adds a small cache memory to reduce the high power consumption of CAMs. Simulation and test chip results show the C-CAM can save 40-80% power compared to a conventional CAM by caching frequently accessed data and avoiding searches of the larger CAM in many cases. C-CAM performance depends on the cache size and hit rate, with the maximum power savings achieved with a cache size of around 4K bits and a hit rate of 90%.
A Literature Survey on Energy Efficient MAC Protocols For WSNIRJET Journal
This document summarizes several energy efficient MAC protocols for wireless sensor networks. It begins with an introduction to the importance of energy efficiency in wireless sensor networks due to limited battery power. Several causes of energy wastage in wireless sensor networks are then described, including collided packets, overhearing, control packet overhead, idle listening, and over emitting. The document then reviews eight different energy efficient MAC protocols that have been proposed to address these issues, including SMAC, TMAC, TEEM, μ-MAC, DEE-MAC, MR-MAC, Z-MAC, and AMAC. It concludes that various MAC protocols have been developed to efficiently manage energy usage in wireless sensor networks.
SRAM BASED IN-MEMORY MATRIX VECTOR MULTIPLIERIRJET Journal
This document describes an SRAM-based in-memory matrix vector multiplier. It discusses using SRAM cells to perform matrix vector multiplication operations directly in memory. The weights stored in the SRAM cells are converted to analog voltages using a DAC. A switched capacitor circuit then multiplies the analog voltages by a digital input vector. Finally, charge sharing is used to sum the output voltages along each column. The circuit size, power consumption, and calculation time scale linearly with the architecture. Analytical formulas are provided for energy usage. The impact of manufacturing variations on precision is also examined.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
This document summarizes a research paper that proposes using a hybrid of simulated annealing algorithm and fuzzy rule base system (SA-FRBS) for adaptive coding, modulation, and power allocation in orthogonal frequency-division multiplexing (OFDM) systems. The paper first discusses related work on using evolutionary algorithms like genetic algorithms for adaptive resource allocation in OFDM. It then describes the system model and analyzes the performance of different modulation and coding schemes. Next, it formulates the rate optimization problem and describes the design of the FRBS for selecting the optimal modulation-coding pairs. Finally, it compares the performance of the proposed SA-FRBS approach through simulations.
High- Throughput CAM Based On Search and Shift MechanismIJERA Editor
This paper introduces a search and shift mechanism for high throughput content-addressable memory(CAM). A CAM is a memory unit that process single clock cycle content matching instead of addresses using well dedicated comparison circuitry. Most mismatches can be found by searching a few bits of a search word. The most critical design challenge in CAM is to reduce power consumption associated with reduced area and increased speed. To lower power dissipation, a word circuit is often divided into two sections that are sequentially searched or even pipelined. Because of this process, most of match lines in the second section are unused. Since searching the last few bits is very fast compared to searching the rest of the bits, throughput can be increased by asynchronously initiating second-stage searches on the unused match lines as soon as a firststage search is complete. A reordered overlapped search mechanism for high throughput low energy content addressable memories (CAMs) is the existing method. By this method the latency and throughput does not shows a better improvement. Here a method of search and shift mechanism for cam is proposed to improve the latency and throughput. This method also reduces power consumption. Here a cache memory is using to store the compared result. This will reduce the number of registers used for output bits. A 32x16 bit CAM is implemented and evaluated using Xilinx simulation. Thus the proposed method improves the latency by k+1 cycles and throughput by K cycles and reduces the power consumption also.
This document describes the design and analysis of a 10T CMOS SRAM cell using 0.6 μm technology to reduce power consumption during write operations. It first discusses 6T SRAM cells and issues with scaling. It then presents the design of a conventional 6T SRAM cell in Microwind 2 using 0.6 μm technology files and describes its read/write operations. Next, it proposes a 10T SRAM cell with two tail transistors added to the pull down network and bit lines cross-coupled to these transistors. This is claimed to help control leakage current and efficiently charge/discharge bit lines during writes. Simulation results then show the proposed 10T cell reduces average write power consumption by 38.6% compared
Reducing power in using different technologies using FSM architectureVLSICS Design
This document summarizes approaches for reducing power consumption in finite state machines (FSMs) using different technologies. It first discusses sources of power dissipation in CMOS circuits and how power is reduced by decreasing supply voltage, switching frequency, and capacitance. It then presents an approach to reduce power in FSMs by selectively turning off inactive portions of the circuit. The document analyzes power consumption for different technologies and capacitance values, showing that power decreases with newer technologies and lower capacitance. It concludes that decomposing FSMs into smaller submachines can further reduce power by decreasing switching activity.
Performance Analysis of Mtpr Routing Protocol in Power Deficient Nodepijans
Power conservation in Mobile Ad hoc Network (MANET) is a major challenge even today for researchers.
To conserve it various power aware routing protocols have been proposed. These protocols do not take into
consideration the residual power left in nodes. To find the impact of the same a simulator was designed in
MATLAB-7.01. The routing protocol used in our simulation is Minimum Total Power Routing (MTPR) and
different performance metrics such as path optimality, throughput and hop count were recorded in
presence and absence of power scarce node. The result shows significant impact of power scarce node on
MANET performance.
Queue Size Trade Off with Modulation in 802.15.4 for Wireless Sensor NetworksCSCJournals
In this paper we analyze the performance of 802.15.4 Wireless Sensor Network (WSN) and derive the queue size trade off for different modulation schemes like: Minimum Shift Keying (MSK), Quadrature Amplitude Modulation of 64 bits (QAM_64) and Binary Phase Shift Keying (BPSK) at the radio transmitter of different types of devices in IEEE 802.15.4 for WSN. It is concluded that if queue size at the PAN coordinator of 802.15.4 wireless sensor network is to be taken into consideration then QAM_64 is recommended. Also it has been concluded that if the queue size at the GTS or Non GTS end device is to be considered then BPSK should be preferred. Our results can be used for planning and deploying IEEE 802.15.4 based wireless sensor networks with specific performance demands. Overall it has been revealed that there is trade off for using various modulation schemes in WSN devices.
Similar to Design and Implementation of Efficient Ternary Content Addressable Memory (20)
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Things to Consider When Choosing a Website Developer for your Website | FODUUFODUU
Choosing the right website developer is crucial for your business. This article covers essential factors to consider, including experience, portfolio, technical skills, communication, pricing, reputation & reviews, cost and budget considerations and post-launch support. Make an informed decision to ensure your website meets your business goals.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdfTechgropse Pvt.Ltd.
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Design and Implementation of Efficient Ternary Content Addressable Memory
1. International Journal on Cybernetics & Informatics (IJCI) Vol. 5, No. 4, August 2016
DOI: 10.5121/ijci.2016.5430 279
DESIGN ANDIMPLEMENTATION OF EFFICIENT
TERNARY CONTENT ADDRESSABLE MEMORY
Gangadhar Akurathi1
, Suneel kumar Guntuku2
and K.Babulu3
1
Department of ECE, JNTUK-UCEV, Vizianagaram, Andhra Pradesh, India
2
Department of ECE, JNTUK-UCEV, Vizianagaram, Andhra Pradesh, India
3
Department of ECE, JNTUK-UCEK, Kakinada, Andhra Pradesh, India
ABSTRACT
A CAM is used for store and search data and using comparison logic circuitry implements the table
lookupfunction in a single clock cycle. CAMs are main application of packet forwarding and packet
classification in Network routers. A Ternary content addressable memory(TCAM) has three type of states
‘0’,’1’ and ‘X’(don’t care) and which is like as binary CAM and has extra feature of searching and storing.
The ‘X’ option may be used as ‘0’ and ‘1’. TCAM performs high-speed search operation in a deterministic
time. In this work a TCAM circuit is designed by using current race sensing scheme and butterfly matchline
(ML) scheme. The speed and power measures of both the TCAM designs are analysed separately. A Novel
technique is developed which is obtained by combining these two techniques which results in significant
power and speed efficiencies.
KEYWORDS
Content Addressable Memory (CAM) Circuit, XOR-based conditional keeper, Ternary Content
Addressable Memory (TCAM)Circuit,Pseudo-Footless Clock Data Pre-charge Dynamic Match line (PF-
CDPD)Architecture.
1. INTRODUCTION
Ternary Content Addressable Memory (TCAM) is the useful for search and store ternary values
and used for partial data matching. TCAMs are composition of conventionaltype semiconductor
memory with addition of comparison circuitry. The most common application of TCAMs
arepacket forwarding and packet classification.
Fig 1(a) Conventional TCAM (b) Address lookup with TCAM/RAM
2. International Journal on Cybernetics & Informatics (IJCI) Vol. 5, No. 4, August 2016
280
A TCAM contains two parts.Static RAM cells and a comparison logic circuit. These are shown in
Fig.1.Both NOR and NAND versions are used to design TCAMs. But NOR type is used to design
TCAM because higher speed. The stored data (D1, D2) is referred as three type of states such as
‘1’, ‘0’ and don’t care(X).Search data (SL1, SL2) is present and it is provided through search line
pair. In case of a mismatch the ML is connected to ground through one of the paths M1,M2 or
M3,M4.In the case of a match (D1D2=SL1SL2) there is no connection to ground. So, reduction
ofpower consumption is reduced to design TCAM.
Fig1 (b) shows TCAM system as a complete implementation of an address lookup function. The
match address output of the CAM is in fact a pointer used to retrieve associated data from RAM.
In this case the associated data is the output. The TCAM search can be viewed as a dictionary
lookup where the search data is word to be queried.
2. MATCH LINE TECHNIQUES
2.1.1 Current Race Scheme
The Current Race Scheme is the one of the matchline techniques. The scheme achieves the 50%
of power saving. The scheme starts with the precharges the matchline (ML) low and
evaluatesmatchline (ML) state is the chargewith the current IML is placed by a current source. The
precharge signal of the matchline low when it starts the prechrging search cycle. thematchline is
precharging low, then scheme charges the search lines/match lines to their search data values,
eliminating the need for a separate SL precharge phase required by the precharge-high scheme.
After the Search Line/Match Line precharge phase completes, current source to matchline is
connected to enable signal. In match state the matchline (ML) is in high voltage, while in the miss
state it is in low voltage. thevoltage of only IML x RML/M. The ML is connected to nMOS
transistor, Msense. The output of nMOS transistor Msense is stored by half latch. The main reason of
the ML is precharged low because of the scheme allow changing the CAM cell configuration.
Hence there is no charge sharing problem when precharge low in the CAM cell configuration.
Fig 2(a) current race scheme
2.2.1 Butterfly ML TCAM
The butterfly match-line (ML) TCAM scheme is proposed using pseudo-footless clock data pre-
charge dynamic (PF-CDPD) structure. It is associatedthe each pipelined stage is in the butterfly
associationstructure which is utilized for diminish thepower consumption and search time. The
powerutilization on the search line is reduced without any search time overhead. A noise-tolerant
3. International Journal on Cybernetics & Informatics (IJCI) Vol. 5, No. 4, August 2016
281
match-line (ML) scheme with XOR-based conditional keeper is introduced to diminish the power
consumption and search time. With the specific end of the goal to reduce the search time
overhead caused by butterfly connection style the XOR-based conditional keeper system can
decrease delay of critical path of the match-line. Figure 2(b) shows the butterfly connection
structure. Thetwo CAM segments are associated in the butterfly connection structure. The two
CAM segments are connected using two input NOR-gate, and controlled signal of next stage is
generated by the two input NOR-gate output. The proposed four segment butterfly match-line
scheme with XOR-based conditional keeper gives the power saving and high performance.
Fig 2(b) butterfly ML TCAM
2.3.1 Novel Technique
The novel technique is designed by using combining the current race scheme and butterfly match-
line (ML) scheme. In the current race scheme the Match Lines are pre-discharged to
ground.Match Line (ML) enable signal initiates the search operation. During the search operation
MLs are charged towards high. Search Lines are need not to be precharged to ground in the
technique. This reduced search line switching activity compared to the conventional scheme
saves around 50% power. And Current Race scheme reduces the search time also.
In the butterfly match-line (ML) in order to reduce search time overhead caused by butterfly
connection, a XOR-based conditional keeper technique is applied. The XOR-based conditional
keeper is the turned off and it is used for to reduce the search time and power consumption.
Due to this butterfly connection style, this circuit has got high-degree of parallelism since it can
do search operation of all TCAM cells at a time. Hence, because of this power of this circuit has
been reduced considerably when compared to that of conventional TCAM cell.
4. International Journal on Cybernetics & Informatics (IJCI) Vol. 5, No. 4, August 2016
2.3.2 Advantages of Novel Tech
The butterfly ML scheme could reduce about 82.2% of match
scheme reduce the delay of 41.2% of match
combine these two techniques reduce the both power as well as delay of the circuit.
3. SIMULATION RESULTS
The Design and the implementation of the power reduction techniques have been carried out in
Tanner tool 13.0 version software tool of 0.18µm CMOS technology. The specifications that are
followed in the simulation results are
the search operation in the TCAM access.
power reduction and how far power and delay savings compare to traditional TCAM.
Fig 3.1(a) Circuit schematic c
Figure 3.1(a) shows the Schematic conventional 4
connected in series. Each TCAM cell has comparison logic and storage parts.
Fig 3.1
Figure 3.1(b) shows the Conventional TCAM Speed analysis. The speed obtained is 2.47
Seconds.
International Journal on Cybernetics & Informatics (IJCI) Vol. 5, No. 4, August 2016
2.3.2 Advantages of Novel Technique
butterfly ML scheme could reduce about 82.2% of match-line power. And current race
scheme reduce the delay of 41.2% of match-line power. So, we design a novel technique by
combine these two techniques reduce the both power as well as delay of the circuit.
and the implementation of the power reduction techniques have been carried out in
Tanner tool 13.0 version software tool of 0.18µm CMOS technology. The specifications that are
followed in the simulation results are shown in the table 3.1. The most power consuming task
in the TCAM access. The different techniques have been used to reduce
power reduction and how far power and delay savings compare to traditional TCAM.
atic conventional 4-bit TCAM cell with comparison and storage parts
Figure 3.1(a) shows the Schematic conventional 4-bit TCAM cell. Here four TCAM cell
connected in series. Each TCAM cell has comparison logic and storage parts.
.1(b) Speed analysis of Conventional TCAM
Figure 3.1(b) shows the Conventional TCAM Speed analysis. The speed obtained is 2.47
International Journal on Cybernetics & Informatics (IJCI) Vol. 5, No. 4, August 2016
282
line power. And current race
line power. So, we design a novel technique by
and the implementation of the power reduction techniques have been carried out in
Tanner tool 13.0 version software tool of 0.18µm CMOS technology. The specifications that are
onsuming task is
been used to reduce
power reduction and how far power and delay savings compare to traditional TCAM.
bit TCAM cell with comparison and storage parts
TCAM cells are
Figure 3.1(b) shows the Conventional TCAM Speed analysis. The speed obtained is 2.47
5. International Journal on Cybernetics & Informatics (IJCI) Vol. 5, No. 4, August 2016
Fig 3.1
The figure 3.1(c) shows the power analysis
the power reduced value to that of various implemented power reduction techniques.
power consumption obtained is 508µW.
Fig 3.2(a) Circuit schematic of the proposed current race technique
Figure 3.2(a) shows the 4-bit TCAM with
is designed by connecting the conventional TCAM with current race scheme part. This is
designed in Tanner tools software.
Fig 3.2(b) Speed analysis of the proposed current race technique
International Journal on Cybernetics & Informatics (IJCI) Vol. 5, No. 4, August 2016
.1(c) power analysis of Conventional TCAM
power analysis conventional TCAM cell, which is used to compare
the power reduced value to that of various implemented power reduction techniques.
power consumption obtained is 508µW.
Fig 3.2(a) Circuit schematic of the proposed current race technique
bit TCAM with proposed current race scheme. The current race scheme
is designed by connecting the conventional TCAM with current race scheme part. This is
designed in Tanner tools software.
Fig 3.2(b) Speed analysis of the proposed current race technique
International Journal on Cybernetics & Informatics (IJCI) Vol. 5, No. 4, August 2016
283
used to compare
the power reduced value to that of various implemented power reduction techniques. Here the
proposed current race scheme. The current race scheme
is designed by connecting the conventional TCAM with current race scheme part. This is
6. International Journal on Cybernetics & Informatics (IJCI) Vol. 5, No. 4, August 2016
A figure 3.2(b) show the proposed current race scheme speed analysis
1.45 Seconds. The speed is better compared to conventional TCAM.
Fig 3.2(c) power analysis of the proposed current race technique
Figure 3.2(c) shows power analy
During the ML charging phase C
mismatched MLs. So, here in large number of mismatched MLs
Hence the CR scheme is reduce the current
consumption is 212µW.The current race scheme is reduce power is 58% and delay is 41%
compared to Conventional TCAM.
Fig 3.3(a) Circuit schematic of the 4
Figure 3.3(a) shows the 4-segment
segments are in pipelined architecture.
International Journal on Cybernetics & Informatics (IJCI) Vol. 5, No. 4, August 2016
the proposed current race scheme speed analysis and obtained the speed is
1.45 Seconds. The speed is better compared to conventional TCAM.
Fig 3.2(c) power analysis of the proposed current race technique
power analysis of the proposed 4-bit TCAM with the current race technique.
During the ML charging phase Current race scheme passes similar currents to both matched and
here in large number of mismatched MLs large amount of energy wasted
CR scheme is reduce the currents to the mismatched MLs. The obtained power
The current race scheme is reduce power is 58% and delay is 41%
compared to Conventional TCAM.
3.3(a) Circuit schematic of the 4-segment butterfly ML scheme
segment butterfly match line scheme which is connected the TCAM
segments are in pipelined architecture. Four TCAM segments are connected with NOR gate.
International Journal on Cybernetics & Informatics (IJCI) Vol. 5, No. 4, August 2016
284
and obtained the speed is
current race technique.
similar currents to both matched and
large amount of energy wasted.
The obtained power
The current race scheme is reduce power is 58% and delay is 41%
butterfly match line scheme which is connected the TCAM
TCAM segments are connected with NOR gate.
7. International Journal on Cybernetics & Informatics (IJCI) Vol. 5, No. 4, August 2016
Fig 3.3(b) speed analysis of the butterfly ML scheme
Figure 3.3(b) shows the speed analysis of butterfly match line scheme and obtained speed is 1.69
Seconds.
Fig 3.3(c) power analysis of butterfly ML scheme
Figure 3.3(c) shows the power analysis
structure of Asymmetric TCAM cell model. Due to this
got high degree of parallelism since it can do search operation of all TCAM cells at a time. Hence
because of this power of this circu
cell. And obtained power is 90µW.
is 31% compared to conventional TCAM.
Fig 3.4(a) Schematic implementation of
Figure 3.4(a) shows of the schematic implementation of proposed novel technique which is
designed by combining the butterfly match line scheme and current race scheme.
International Journal on Cybernetics & Informatics (IJCI) Vol. 5, No. 4, August 2016
3.3(b) speed analysis of the butterfly ML scheme
Figure 3.3(b) shows the speed analysis of butterfly match line scheme and obtained speed is 1.69
Fig 3.3(c) power analysis of butterfly ML scheme
power analysis of 4-segment butterfly ML TCAM employing TCAM
structure of Asymmetric TCAM cell model. Due to this butterfly connection style, the
since it can do search operation of all TCAM cells at a time. Hence
r of this circuit has been reducedwhen compared to the conventional TCAM
And obtained power is 90µW.and butterfly ML technique is reduce power is 82% and delay
is 31% compared to conventional TCAM.
Fig 3.4(a) Schematic implementation of Proposed Novel technique
Figure 3.4(a) shows of the schematic implementation of proposed novel technique which is
designed by combining the butterfly match line scheme and current race scheme.
International Journal on Cybernetics & Informatics (IJCI) Vol. 5, No. 4, August 2016
285
Figure 3.3(b) shows the speed analysis of butterfly match line scheme and obtained speed is 1.69
egment butterfly ML TCAM employing TCAM
butterfly connection style, the circuit has
since it can do search operation of all TCAM cells at a time. Hence
conventional TCAM
and butterfly ML technique is reduce power is 82% and delay
Figure 3.4(a) shows of the schematic implementation of proposed novel technique which is
8. International Journal on Cybernetics & Informatics (IJCI) Vol. 5, No. 4, August 2016
Fig 3.4 (b) speed analysis of
Figure 3.4(b) shows the Speed analysis of proposed novel technique and obtained speed is
1.53Seconds.
Fig 3.4(c) power analysis of
Figure 3.4(c) shows the power analysis
27µW. The Proposed novel technique is designed by combine the current race techn
butterfly ML technique. So combine the both techniques we obtain the power is reduced by 94%
and delay is 38% compared to conventional TCAM.
Proposed
Configuration
Power (µW)
Conventional
TCAM Circuit
508
Proposed
Current Race
Scheme
212
Butterfly Match
Line Scheme
90
Proposed Novel
Technique
27
International Journal on Cybernetics & Informatics (IJCI) Vol. 5, No. 4, August 2016
Fig 3.4 (b) speed analysis of Proposed Novel technique
) shows the Speed analysis of proposed novel technique and obtained speed is
Fig 3.4(c) power analysis of Proposed Novel technique
power analysis of the Proposed Novel technique and obtained power is
novel technique is designed by combine the current race techn
So combine the both techniques we obtain the power is reduced by 94%
% compared to conventional TCAM.
Table 3.1: Tabulated Results
Power (µW) Speed(Secs) Power reduced
compare to
TCAM
Speed increased
compare to
TCAM
2.47
1.45 58.26% 41.29%
1.69 82.28% 31.57%
1.53 94.68% 38.05%
International Journal on Cybernetics & Informatics (IJCI) Vol. 5, No. 4, August 2016
286
) shows the Speed analysis of proposed novel technique and obtained speed is
and obtained power is
novel technique is designed by combine the current race technique and
So combine the both techniques we obtain the power is reduced by 94%
Speed increased
compare to
TCAM
41.29%
31.57%
38.05%
9. International Journal on Cybernetics & Informatics (IJCI) Vol. 5, No. 4, August 2016
287
CONCLUSIONS
An energy efficient Novel ternary content addressable Memory design is proposed in this paper.
The reduction of high power consumption and delay which are the limiting factors of TCAM has
been achieved by various power reduction techniques which are implemented in 0.18µm CMOS
technology. The Novel technique is designed which is reduced power up to 94% and increased
speed up to 38.05% compared to Conventional TCAM.
REFERENCES
[1] Byung-Do Yang, “Low-Power Effective Memory-Size Expanded Ternary Content Addressable
Memory (TCAM) Using Data-Relocation Scheme,” IEEE Journal of Solid State Circuits, Vol.50,
No.10, Oct 2015.
[2] Ray C.C.Cheung,ManishK.Jaiswal, and Zahid Ullah, “Z-TCAM: An SRAM-based Architecture for
TCAM,” IEEE Trans on very large scale Integration (VLSI) systems , Digital Object Identifier
10.1109/TVLSI.2014.2309350.
[3] Kiat Seng Yeo, Shoushun Chen, Anh-Tuan Do, and Zhi-Hui Kong, “A High Speed Low Power CAM
With a Parity Bit and Power-Gated ML Sensing,” IEEE Trans. On very large scale Integration (VLSI)
Systems, Vol.21, NO.1, Jan 2013.
[4] Shun-Hsun Yang, in-Fu Li, and Yu-Jen Huang, “A Low-Power Ternary Content Addressable
Memory with Pai-Sigma Match lines,” IEEE Trans. On very large scale Integration (VLSI) Systems,
Vol.20, NO.10, Oct 2012.
[5] Byung-Do Yang, Yong-Kyu Lee, Si-Woo Sung, Jae-Joong Min, Jae-Mun Oh, and Hyeong-Ju Kang,
“A Low Power Content Addressable Memory Using Low Swing Search Lines,” IEEE Trans. On
circuits and systems-I: Regular Papers, Vol.58, No.12, Dec 2011.
[6] Manoj Sachdev, Wilson Fung, Nitin Mohan and Derek Wright, “A Low-Power Ternary CAM with
Positive-Feedback Match-Line Sense Amplifiers,” IEEE Trans. On circuits and systems-I: Regular
Papers, Vol.56, No.3, March 2009.
[7] Yuan-Hong Liao and Yen-Jen Chang, “Hybrid-Type CAM Design for Both Power and Performance
Efficiency,”IEEE Trans. On very large scale Integration (VLSI) Systems, Vol.16, NO.8, Aug 2008.
[8] Baeg.S, “Low-power ternary content addressable memory design using a segmented match line,”
IEEE Trans. Circuits Syst.,Vol. 55,no. 6,pp. 1485-1494, July 2008.
[9] Nitin Mohan, Manoj Sachdev and Derek Wright, Wilson Fung, "Design Techniques and Test
Methodology for Low-Power TCAMs" IEEE Transactions on Very Large Scale Integration (VLSI)
Systems, Vol. 14, No. 6, June 2006.
[10] I.Arsovski, A.Sheikholeslami, and T.Chandler, “A Ternary content addressable memory based on 4T
static storage and including a current race sensing scheme,” IEEE J.Solid-State circuits, vol.38, no. 1,
pp. 155-158, Jan 2003.