As we all know the energy is one of the most important things in WSN, so decreasing WSN system complexity is one of the researchers goals , here is a powerful interleaving technique to achieve that.
JPN1411 Secure Continuous Aggregation in Wireless Sensor Networkschennaijp
Get the latest IEEE ns2 projects in JP INFOTECH; we are having following category wise projects like Industrial Informatics, Vehicular Technology, Networking, WSN and Manet.
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/ns2-projects/
Deep Stream Dynamic Graph Analytics with Grapharis - Massimo PeriniFlink Forward
World's toughest and most interesting analysis tasks lie at the intersection of graph data (inter-dependencies in data) and deep learning (inter-dependencies in the model). Classical graph embedding techniques have for years occupied research groups seeking how complex graphs can be encoded into a low-dimensional latent space. Recently, deep learning has dominated the space of embeddings generation due to its ability to automatically generate embeddings given any static graph.
Grapharis is a project that revitalizes the concept of graph embeddings, yet it does so in a real setting were graphs are not static but keep changing over time (think of user interactions in social networks). More specifically, we explored how a system like Flink can be used to simplify both the process of training a graph embedding model incrementally but also make complex inferences and predictions in real time using graph structured data streams. To our knowledge, Grapharis is the first complete data pipeline using Flink and Tensorflow for real-time deep graph learning. This talk will cover how we can train, store and generate embeddings continuously and accurately as data evolves over time without the need to re-train the underlying model.
Retiming of digital circuits is conventionally based on the estimates of propagation delays across different paths in the data-flow graphs (DFGs) obtained by discrete component
timing model, which implicitly assumes that operation of a node can begin only after the completion of the operation(s) of its preceding node(s) to obey the data dependence requirement. Such a discrete component timing model very often gives much higher
estimates of the propagation delays than the actuals particularly when the computations in the DFG nodes correspond to fixed point arithmetic operations like additions and multiplications
The document discusses High-Level Data Link Control (HDLC), a bit-oriented synchronous data link layer protocol developed by ISO. It describes HDLC's operation modes including Normal Response Mode, Asynchronous Response Mode, and Asynchronous Balanced Mode. The document also covers HDLC frame format, frame classes including unnumbered, supervisory, and information frames, and HDLC protocol operation for link management and data transfer with error and flow control.
HDLC is a bit-oriented protocol that organizes data into frames for transmission between devices over point-to-point or multipoint links. An HDLC frame consists of opening and closing flags bounding address, control, information, and frame check sequence fields. The control field contains sequence numbers for flow and error control. There are three classes of frames: information frames for data, unnumbered frames for link management, and supervisory frames for flow and error control using sequence numbers when piggybacking is not possible.
Stochastic Computing Correlation Utilization in Convolutional Neural Network ...TELKOMNIKA JOURNAL
In recent years, many applications have been implemented in embedded systems and mobile Internet of Things (IoT) devices that typically have constrained resources, smaller power budget, and exhibit "smartness" or intelligence. To implement computation-intensive and resource-hungry Convolutional Neural Network (CNN) in this class of devices, many research groups have developed specialized parallel accelerators using Graphical Processing Units (GPU), Field-Programmable Gate Arrays (FPGA), or Application-Specific Integrated Circuits (ASIC). An alternative computing paradigm called Stochastic Computing (SC) can implement CNN with low hardware footprint and power consumption. To enable building more efficient SC CNN, this work incorporates the CNN basic functions in SC that exploit correlation, share Random Number Generators (RNG), and is more robust to rounding error. Experimental results show our proposed solution provides significant savings in hardware footprint and increased accuracy for the SC CNN basic functions circuits compared to previous work.
HDLC is a bit-oriented protocol defined by ISO for point-to-point and multipoint communication over data links. It supports full-duplex communication and provides reliability, efficiency and flexibility. HDLC defines three types of stations - primary, secondary and combined. It uses three frame types - unnumbered, information and supervisory frames. HDLC also specifies three data transfer modes - normal response mode, asynchronous response mode and asynchronous balanced mode. [/SUMMARY]
This document proposes a new software architecture for the data plane of an LTE eNodeB with a 1 Gbps Cloud RAN Medium Access Control (MAC) subsystem. The new architecture addresses current throughput bottlenecks of around 1 Gbps experienced by users. It spreads MAC operations across time, frequency and spatial domains by distributing eMACs for each UE across multiple nodes. The architecture includes a mapping between external C-RNTI UE identifiers and internal UE indices, and a three-tiered downlink HARQ retransmission memory model that first checks UE availability, then searches the HARQ eMAC database, and finally the HARQ process node. The intended audience are 4G-LTE wireless embedded software engineers and architects. Initial
JPN1411 Secure Continuous Aggregation in Wireless Sensor Networkschennaijp
Get the latest IEEE ns2 projects in JP INFOTECH; we are having following category wise projects like Industrial Informatics, Vehicular Technology, Networking, WSN and Manet.
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/ns2-projects/
Deep Stream Dynamic Graph Analytics with Grapharis - Massimo PeriniFlink Forward
World's toughest and most interesting analysis tasks lie at the intersection of graph data (inter-dependencies in data) and deep learning (inter-dependencies in the model). Classical graph embedding techniques have for years occupied research groups seeking how complex graphs can be encoded into a low-dimensional latent space. Recently, deep learning has dominated the space of embeddings generation due to its ability to automatically generate embeddings given any static graph.
Grapharis is a project that revitalizes the concept of graph embeddings, yet it does so in a real setting were graphs are not static but keep changing over time (think of user interactions in social networks). More specifically, we explored how a system like Flink can be used to simplify both the process of training a graph embedding model incrementally but also make complex inferences and predictions in real time using graph structured data streams. To our knowledge, Grapharis is the first complete data pipeline using Flink and Tensorflow for real-time deep graph learning. This talk will cover how we can train, store and generate embeddings continuously and accurately as data evolves over time without the need to re-train the underlying model.
Retiming of digital circuits is conventionally based on the estimates of propagation delays across different paths in the data-flow graphs (DFGs) obtained by discrete component
timing model, which implicitly assumes that operation of a node can begin only after the completion of the operation(s) of its preceding node(s) to obey the data dependence requirement. Such a discrete component timing model very often gives much higher
estimates of the propagation delays than the actuals particularly when the computations in the DFG nodes correspond to fixed point arithmetic operations like additions and multiplications
The document discusses High-Level Data Link Control (HDLC), a bit-oriented synchronous data link layer protocol developed by ISO. It describes HDLC's operation modes including Normal Response Mode, Asynchronous Response Mode, and Asynchronous Balanced Mode. The document also covers HDLC frame format, frame classes including unnumbered, supervisory, and information frames, and HDLC protocol operation for link management and data transfer with error and flow control.
HDLC is a bit-oriented protocol that organizes data into frames for transmission between devices over point-to-point or multipoint links. An HDLC frame consists of opening and closing flags bounding address, control, information, and frame check sequence fields. The control field contains sequence numbers for flow and error control. There are three classes of frames: information frames for data, unnumbered frames for link management, and supervisory frames for flow and error control using sequence numbers when piggybacking is not possible.
Stochastic Computing Correlation Utilization in Convolutional Neural Network ...TELKOMNIKA JOURNAL
In recent years, many applications have been implemented in embedded systems and mobile Internet of Things (IoT) devices that typically have constrained resources, smaller power budget, and exhibit "smartness" or intelligence. To implement computation-intensive and resource-hungry Convolutional Neural Network (CNN) in this class of devices, many research groups have developed specialized parallel accelerators using Graphical Processing Units (GPU), Field-Programmable Gate Arrays (FPGA), or Application-Specific Integrated Circuits (ASIC). An alternative computing paradigm called Stochastic Computing (SC) can implement CNN with low hardware footprint and power consumption. To enable building more efficient SC CNN, this work incorporates the CNN basic functions in SC that exploit correlation, share Random Number Generators (RNG), and is more robust to rounding error. Experimental results show our proposed solution provides significant savings in hardware footprint and increased accuracy for the SC CNN basic functions circuits compared to previous work.
HDLC is a bit-oriented protocol defined by ISO for point-to-point and multipoint communication over data links. It supports full-duplex communication and provides reliability, efficiency and flexibility. HDLC defines three types of stations - primary, secondary and combined. It uses three frame types - unnumbered, information and supervisory frames. HDLC also specifies three data transfer modes - normal response mode, asynchronous response mode and asynchronous balanced mode. [/SUMMARY]
This document proposes a new software architecture for the data plane of an LTE eNodeB with a 1 Gbps Cloud RAN Medium Access Control (MAC) subsystem. The new architecture addresses current throughput bottlenecks of around 1 Gbps experienced by users. It spreads MAC operations across time, frequency and spatial domains by distributing eMACs for each UE across multiple nodes. The architecture includes a mapping between external C-RNTI UE identifiers and internal UE indices, and a three-tiered downlink HARQ retransmission memory model that first checks UE availability, then searches the HARQ eMAC database, and finally the HARQ process node. The intended audience are 4G-LTE wireless embedded software engineers and architects. Initial
The document discusses High-level Data Link Control (HDLC), a bit-oriented protocol used for point-to-point and multipoint data links. It supports full-duplex communication and defines three types of frames - Unnumbered frames for link setup/disconnection, Information frames to carry data, and Supervisory frames to transport control information. HDLC also specifies different transfer modes including Normal Response Mode (NRM) with balanced and unbalanced configurations, and Asynchronous Balanced Mode (ABM) where each station can function as primary or secondary.
The document discusses HDLC configurations and frame types. There are two common HDLC configurations:
1) NRM uses an unbalanced configuration with a primary station that can send commands and secondary stations that can respond, supporting both point-to-point and multipoint links.
2) ABM uses a balanced configuration where any station can be primary/secondary, supporting only point-to-point links.
There are three types of HDLC frames: I-frames carry user data, S-frames carry control information for flow control, and U-frames are for link management. The document further describes the fields within HDLC frames and provides examples of frame exchanges.
OCR is the transformation of Images of text to Machine encoded text.
A simple API to an OCR library might provide a function which takes as input an image and outputs a string.
In this project we have applied Deep learning Neural Network to solve Optical Character Recognition.
We have made use of Tensorflow and Convolutional Neural Network.
This document summarizes a paper that proposes an efficient implementation of distributed routing algorithms in Networks-on-Chips (NoCs) called LBDR (Logic-Based Distributed Routing). LBDR uses minimal logic at switches to implement routing without using tables. It works for both regular and irregular topologies. The paper describes the LBDR approach, system requirements, and evaluates its performance compared to other approaches through simulation. LBDR shows improvements in performance and reductions in area, power, and delay over table-based approaches.
Energy efficient wireless sensor networks using linear programming optimizati...LogicMindtech Nologies
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
TDMA Schleduling in Wireless Sensor Networkneha agarwal
Neha Agarwal presented two TDMA scheduling algorithms for wireless sensor networks: a node-based algorithm and a level-based algorithm. The node-based algorithm schedules nodes by coloring the network graph and assigning time slots to non-conflicting nodes. The level-based algorithm first obtains a linear network graph and then schedules nodes based on coloring the linear graph. Both algorithms aim to find the smallest conflict-free time frame for all nodes to transmit. Distributed and clustered implementations were also discussed to improve scalability.
This document summarizes work on estimating sparse inverse covariance matrices using graphical lasso. It discusses how graphical lasso uses an L1 regularization and coordinate descent algorithms to efficiently estimate sparse inverse covariance matrices. The new GLASSO R package was developed that is 30-4000x faster than existing methods for estimating sparse graphical models on large datasets with thousands of nodes and parameters. Future work aims to apply this approach to even larger datasets where the number of parameters exceeds the number of samples.
This document discusses several point-to-point data link protocols: HDLC, PPP, and SLIP. It provides an overview of HDLC, including its frame structure, operation, and applications. PPP is introduced as a successor to SLIP that adds functionality like authentication. The document also describes PPP's frame structure and use of link control and network control protocols.
High-level Data Link Control (HDLC) is a bit-oriented protocol for communication over point-to-point and multipoint links. It implements the ARQ mechanisms. This protocol is more a theoretical issue than practical; most of the concept defined in this protocol is the basis for other practical protocols.
This document proposes techniques for automating the management of simulation accuracy in mixed-mode digital VLSI circuit simulation. It addresses the need to efficiently simulate increasingly large and complex circuits while providing guaranteed accuracy. The key techniques presented are:
1) An uncertainty redistribution method to determine the required accuracy for each subcircuit block based on its contribution to overall output delay uncertainty.
2) An iterative simulation approach that starts with low-accuracy analysis and refines accuracy levels using heuristics until simulation convergence is reached.
3) A mixed-mode simulation testbed that implements these accuracy management techniques and allows experiments using different simulator types. Experiments demonstrated the efficiency gains compared to uniform high-accuracy simulation.
PointNet: Deep Learning on Point Sets for 3D Classification and SegmentationSEMINARGROOT
The document discusses deep learning on point sets. Point sets have properties of being unordered, invariant to transformations, and having interactions among points. The PointNet architecture uses three key techniques: 1) a max pooling layer as a symmetric function to aggregate point information, 2) a structure to combine local and global information, and 3) two joint alignment networks to align input points and point features. The architecture provides permutation invariance and is robust to data corruption.
HDLC is a bit-oriented protocol that defines rules for transmitting data between network nodes. It supports full-duplex communication and organizes data into frames sent from a source to a destination. HDLC defines three station types - primary stations control data flow, secondary stations operate under primary control, and combined stations act as both. HDLC uses different frame types and operates in modes like normal response for point-to-point links and asynchronous balanced for communication between combined stations.
Design of arq and hybrid arq protocols for wireless channels using bch codesIAEME Publication
This document discusses the design of ARQ and hybrid ARQ protocols for wireless channels using BCH codes. It begins with an introduction to ARQ and FEC schemes for error control. A hybrid ARQ scheme is proposed that combines FEC and ARQ to improve throughput efficiency and reliability over using ARQ alone. Specifically, a type-1 hybrid ARQ protocol is designed using a (1023,923) BCH code that can correct up to 5 errors. Simulation results show that the hybrid ARQ scheme provides higher throughput than basic ARQ schemes, especially at lower SNR values, by correcting some error patterns without retransmission. In conclusion, hybrid ARQ is found to perform better than either ARQ or FEC alone by taking advantage of the strengths of both.
This document summarizes a research paper that proposes using parallel concatenated turbo codes in wireless sensor networks in an adaptive way. The key points are:
1) Turbo codes can achieve near-Shannon limit performance but decoding is complex, making them difficult to implement on energy-constrained sensor nodes.
2) The proposed approach shifts the complex turbo decoding to the base station while sensor nodes implement encoding and basic error correction.
3) At sensor nodes, a parallel concatenated convolutional code (PCCC) circuit encodes data and detects/corrects errors in forwarded packets. This improves energy efficiency and reliability over the wireless sensor network.
Design and Implementation of an Embedded System for Software Defined RadioIJECEIAES
In this paper, developing high performance software for demanding real-time embed- ded systems is proposed. This software-based design will enable the software engineers and system architects in emerging technology areas like 5G Wireless and Software Defined Networking (SDN) to build their algorithms. An ADSP-21364 floating point SHARC Digital Signal Processor (DSP) running at 333 MHz is adopted as a platform for an embedded system. To evaluate the proposed embedded system, an implementation of frame, symbol and carrier phase synchronization is presented as an application. Its performance is investigated with an on line Quadrature Phase Shift keying (QPSK) receiver. Obtained results show that the designed software is implemented successfully based on the SHARC DSP which can utilized efficiently for such algorithms. In addition, it is proven that the proposed embedded system is pragmatic and capable of dealing with the memory constraints and critical time issue due to a long length interleaved coded data utilized for channel coding.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Compressive Data Gathering using NACS in Wireless Sensor NetworkIRJET Journal
The document proposes a Neighbor-Aided Compressive Sensing (NACS) scheme for efficient data gathering in wireless sensor networks. NACS exploits both spatial and temporal correlations in sensor data to reduce data transmissions compared to existing compressive sensing models like Kronecker Compressive Sensing (KCS) and Structured Random Matrix (SRM). In NACS, each sensor node sends its raw sensor readings to a uniquely selected nearest neighbor node, which then applies compressive sensing measurements and sends the compressed data to the sink node. Simulation results show NACS achieves better data recovery performance using fewer transmissions than KCS and SRM, improving energy efficiency for data gathering in wireless sensor networks.
IRJET- Enhanced Security using DNA CryptographyIRJET Journal
The document proposes a new technique for secure encryption and decryption that combines stream cipher and compressive sensing with DNA encoding and decoding. It discusses using a linear feedback shift register (LFSR) based stream cipher to generate the measurement matrix for compressive sensing. The same stream cipher is then used to encrypt data. DNA encoding represents the encryption key as DNA nucleotide bases (A, C, G, T) according to a lookup table. At the receiver, decryption uses the same key and lookup table to recover the original data. The technique is implemented using Verilog HDL and provides faster encryption speeds and more secure transmission of sensory and medical data compared to traditional methods.
DSP Based Implementation of Scrambler for 56kbps ModemCSCJournals
Scrambler is generally employed in data communication systems to add redundancy in the transmitted data stream so that at the receiver end, timing information can be retrieved to aid the synchronization between data terminals. Present paper deals with simulation and implementation of the scrambler for 56Kbps voice-band modem. Scrambler for the transmitter of 56kbps modem was chosen as a case study. Simulation has been carried out using Simulink of Matlab. An algorithm for the scrambling function has been developed and implemented on Texas Instrument’s based TMS320C50PQ57 Digital Signal Processor (DSP). Signalogic DSP software has been used to compare the simulated and practical results.
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
PERFORMANCE EVALUATION OF ADAPTIVE ARRAY ANTENNAS IN COGNITIVE RELAY NETWORKcsijjournal
1) Adaptive array antennas in cognitive relay networks are proposed to improve system performance by reducing symbol error rate. Wiener solution and least mean square algorithms are explored to calculate optimal antenna weights.
2) Simulations show that placing adaptive array antennas at the source node provides better performance than at the relay or destination nodes. Additional enhancements include increasing the source gain, decreasing the relay gain, and using more antenna elements.
3) Under different channel conditions, adaptive array antennas perform best under additive white Gaussian noise and improve under Rayleigh fading by increasing the step size or number of iterations in the least mean square algorithm.
The document discusses High-level Data Link Control (HDLC), a bit-oriented protocol used for point-to-point and multipoint data links. It supports full-duplex communication and defines three types of frames - Unnumbered frames for link setup/disconnection, Information frames to carry data, and Supervisory frames to transport control information. HDLC also specifies different transfer modes including Normal Response Mode (NRM) with balanced and unbalanced configurations, and Asynchronous Balanced Mode (ABM) where each station can function as primary or secondary.
The document discusses HDLC configurations and frame types. There are two common HDLC configurations:
1) NRM uses an unbalanced configuration with a primary station that can send commands and secondary stations that can respond, supporting both point-to-point and multipoint links.
2) ABM uses a balanced configuration where any station can be primary/secondary, supporting only point-to-point links.
There are three types of HDLC frames: I-frames carry user data, S-frames carry control information for flow control, and U-frames are for link management. The document further describes the fields within HDLC frames and provides examples of frame exchanges.
OCR is the transformation of Images of text to Machine encoded text.
A simple API to an OCR library might provide a function which takes as input an image and outputs a string.
In this project we have applied Deep learning Neural Network to solve Optical Character Recognition.
We have made use of Tensorflow and Convolutional Neural Network.
This document summarizes a paper that proposes an efficient implementation of distributed routing algorithms in Networks-on-Chips (NoCs) called LBDR (Logic-Based Distributed Routing). LBDR uses minimal logic at switches to implement routing without using tables. It works for both regular and irregular topologies. The paper describes the LBDR approach, system requirements, and evaluates its performance compared to other approaches through simulation. LBDR shows improvements in performance and reductions in area, power, and delay over table-based approaches.
Energy efficient wireless sensor networks using linear programming optimizati...LogicMindtech Nologies
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
TDMA Schleduling in Wireless Sensor Networkneha agarwal
Neha Agarwal presented two TDMA scheduling algorithms for wireless sensor networks: a node-based algorithm and a level-based algorithm. The node-based algorithm schedules nodes by coloring the network graph and assigning time slots to non-conflicting nodes. The level-based algorithm first obtains a linear network graph and then schedules nodes based on coloring the linear graph. Both algorithms aim to find the smallest conflict-free time frame for all nodes to transmit. Distributed and clustered implementations were also discussed to improve scalability.
This document summarizes work on estimating sparse inverse covariance matrices using graphical lasso. It discusses how graphical lasso uses an L1 regularization and coordinate descent algorithms to efficiently estimate sparse inverse covariance matrices. The new GLASSO R package was developed that is 30-4000x faster than existing methods for estimating sparse graphical models on large datasets with thousands of nodes and parameters. Future work aims to apply this approach to even larger datasets where the number of parameters exceeds the number of samples.
This document discusses several point-to-point data link protocols: HDLC, PPP, and SLIP. It provides an overview of HDLC, including its frame structure, operation, and applications. PPP is introduced as a successor to SLIP that adds functionality like authentication. The document also describes PPP's frame structure and use of link control and network control protocols.
High-level Data Link Control (HDLC) is a bit-oriented protocol for communication over point-to-point and multipoint links. It implements the ARQ mechanisms. This protocol is more a theoretical issue than practical; most of the concept defined in this protocol is the basis for other practical protocols.
This document proposes techniques for automating the management of simulation accuracy in mixed-mode digital VLSI circuit simulation. It addresses the need to efficiently simulate increasingly large and complex circuits while providing guaranteed accuracy. The key techniques presented are:
1) An uncertainty redistribution method to determine the required accuracy for each subcircuit block based on its contribution to overall output delay uncertainty.
2) An iterative simulation approach that starts with low-accuracy analysis and refines accuracy levels using heuristics until simulation convergence is reached.
3) A mixed-mode simulation testbed that implements these accuracy management techniques and allows experiments using different simulator types. Experiments demonstrated the efficiency gains compared to uniform high-accuracy simulation.
PointNet: Deep Learning on Point Sets for 3D Classification and SegmentationSEMINARGROOT
The document discusses deep learning on point sets. Point sets have properties of being unordered, invariant to transformations, and having interactions among points. The PointNet architecture uses three key techniques: 1) a max pooling layer as a symmetric function to aggregate point information, 2) a structure to combine local and global information, and 3) two joint alignment networks to align input points and point features. The architecture provides permutation invariance and is robust to data corruption.
HDLC is a bit-oriented protocol that defines rules for transmitting data between network nodes. It supports full-duplex communication and organizes data into frames sent from a source to a destination. HDLC defines three station types - primary stations control data flow, secondary stations operate under primary control, and combined stations act as both. HDLC uses different frame types and operates in modes like normal response for point-to-point links and asynchronous balanced for communication between combined stations.
Design of arq and hybrid arq protocols for wireless channels using bch codesIAEME Publication
This document discusses the design of ARQ and hybrid ARQ protocols for wireless channels using BCH codes. It begins with an introduction to ARQ and FEC schemes for error control. A hybrid ARQ scheme is proposed that combines FEC and ARQ to improve throughput efficiency and reliability over using ARQ alone. Specifically, a type-1 hybrid ARQ protocol is designed using a (1023,923) BCH code that can correct up to 5 errors. Simulation results show that the hybrid ARQ scheme provides higher throughput than basic ARQ schemes, especially at lower SNR values, by correcting some error patterns without retransmission. In conclusion, hybrid ARQ is found to perform better than either ARQ or FEC alone by taking advantage of the strengths of both.
This document summarizes a research paper that proposes using parallel concatenated turbo codes in wireless sensor networks in an adaptive way. The key points are:
1) Turbo codes can achieve near-Shannon limit performance but decoding is complex, making them difficult to implement on energy-constrained sensor nodes.
2) The proposed approach shifts the complex turbo decoding to the base station while sensor nodes implement encoding and basic error correction.
3) At sensor nodes, a parallel concatenated convolutional code (PCCC) circuit encodes data and detects/corrects errors in forwarded packets. This improves energy efficiency and reliability over the wireless sensor network.
Design and Implementation of an Embedded System for Software Defined RadioIJECEIAES
In this paper, developing high performance software for demanding real-time embed- ded systems is proposed. This software-based design will enable the software engineers and system architects in emerging technology areas like 5G Wireless and Software Defined Networking (SDN) to build their algorithms. An ADSP-21364 floating point SHARC Digital Signal Processor (DSP) running at 333 MHz is adopted as a platform for an embedded system. To evaluate the proposed embedded system, an implementation of frame, symbol and carrier phase synchronization is presented as an application. Its performance is investigated with an on line Quadrature Phase Shift keying (QPSK) receiver. Obtained results show that the designed software is implemented successfully based on the SHARC DSP which can utilized efficiently for such algorithms. In addition, it is proven that the proposed embedded system is pragmatic and capable of dealing with the memory constraints and critical time issue due to a long length interleaved coded data utilized for channel coding.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Compressive Data Gathering using NACS in Wireless Sensor NetworkIRJET Journal
The document proposes a Neighbor-Aided Compressive Sensing (NACS) scheme for efficient data gathering in wireless sensor networks. NACS exploits both spatial and temporal correlations in sensor data to reduce data transmissions compared to existing compressive sensing models like Kronecker Compressive Sensing (KCS) and Structured Random Matrix (SRM). In NACS, each sensor node sends its raw sensor readings to a uniquely selected nearest neighbor node, which then applies compressive sensing measurements and sends the compressed data to the sink node. Simulation results show NACS achieves better data recovery performance using fewer transmissions than KCS and SRM, improving energy efficiency for data gathering in wireless sensor networks.
IRJET- Enhanced Security using DNA CryptographyIRJET Journal
The document proposes a new technique for secure encryption and decryption that combines stream cipher and compressive sensing with DNA encoding and decoding. It discusses using a linear feedback shift register (LFSR) based stream cipher to generate the measurement matrix for compressive sensing. The same stream cipher is then used to encrypt data. DNA encoding represents the encryption key as DNA nucleotide bases (A, C, G, T) according to a lookup table. At the receiver, decryption uses the same key and lookup table to recover the original data. The technique is implemented using Verilog HDL and provides faster encryption speeds and more secure transmission of sensory and medical data compared to traditional methods.
DSP Based Implementation of Scrambler for 56kbps ModemCSCJournals
Scrambler is generally employed in data communication systems to add redundancy in the transmitted data stream so that at the receiver end, timing information can be retrieved to aid the synchronization between data terminals. Present paper deals with simulation and implementation of the scrambler for 56Kbps voice-band modem. Scrambler for the transmitter of 56kbps modem was chosen as a case study. Simulation has been carried out using Simulink of Matlab. An algorithm for the scrambling function has been developed and implemented on Texas Instrument’s based TMS320C50PQ57 Digital Signal Processor (DSP). Signalogic DSP software has been used to compare the simulated and practical results.
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
PERFORMANCE EVALUATION OF ADAPTIVE ARRAY ANTENNAS IN COGNITIVE RELAY NETWORKcsijjournal
1) Adaptive array antennas in cognitive relay networks are proposed to improve system performance by reducing symbol error rate. Wiener solution and least mean square algorithms are explored to calculate optimal antenna weights.
2) Simulations show that placing adaptive array antennas at the source node provides better performance than at the relay or destination nodes. Additional enhancements include increasing the source gain, decreasing the relay gain, and using more antenna elements.
3) Under different channel conditions, adaptive array antennas perform best under additive white Gaussian noise and improve under Rayleigh fading by increasing the step size or number of iterations in the least mean square algorithm.
ANALOG MODELING OF RECURSIVE ESTIMATOR DESIGN WITH FILTER DESIGN MODELVLSICS Design
This document summarizes a research paper on implementing a low power design methodology for recursive encoders and decoders. It discusses how recursive coding can achieve better error correction performance at low signal-to-noise ratios compared to other codes. It then describes the design of a recursive decoder that uses the log-MAP algorithm to minimize power consumption. The decoder uses five main computational steps - branch metric calculation, forward metric computation, backward metric computation, log-likelihood ratio calculation, and extrinsic information calculation. It also compares the implementation of four-state and eight-state recursive encoders. The goal of the design is to optimize the power and area of recursive encoders and decoders.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Multiple Dimensional Fault Tolerant Schemes for Crypto Stream CiphersIJNSA Journal
This document proposes two fault tolerant schemes for stream ciphers based on Algorithm Based Fault Tolerance (ABFT). The first is a 2-D mesh ABFT scheme that can detect and correct any single error in an n-by-n plaintext matrix with linear computation and bandwidth overhead. It constructs matrices for the plaintext, keystream, and transmitted data with row and column checksums. The second is a 3-D mesh-knight ABFT scheme that can detect and correct up to three errors by adding an extra "knight" checksum dimension. Both schemes use only XOR operations and allow errors to be efficiently located and recovered.
Multiple Dimensional Fault Tolerant Schemes for Crypto Stream CiphersIJNSA Journal
To enhance the security and reliability of the widely-used stream ciphers, a 2-D and a 3-D mesh-knight Algorithm Based Fault Tolerant (ABFT) schemes for stream ciphers are developed which can be universally applied to RC4 and other stream ciphers. Based on the ready-made arithmetic unit in stream ciphers, the proposed 2-D ABFT scheme is able to detect and correct any simple error, and the 3-D meshknight ABFT scheme is capable of detecting and correcting up to three errors in an n2 -data matrix with liner computation and bandwidth overhead. The proposed schemes provide one-to-one mapping between data index and check sum group so that error can be located and recovered by easier logic and simple operations.
Low complexity design of non binary ldpc decoder using extended min-sum algor...eSAT Journals
This document summarizes a research paper on reducing the computational complexity of non-binary LDPC decoders using an extended min-sum algorithm. It introduces low-density parity check codes and non-binary LDPC codes. It then describes an extended min-sum decoding algorithm and proposes two modifications to the parity check matrix - a lower diagonal matrix and a doubly diagonal matrix - to reduce complexity while maintaining performance. Simulation results on code lengths of 504 and 648 bits show the doubly diagonal matrix achieves the best bit error rate. Analysis finds the lower diagonal matrix has the lowest computational complexity of the approaches.
High Speed Low-Power Viterbi Decoder Using Trellis Code ModulationMangaiK4
Abstract - High speed low power viterbi decoders for trellis code modulation is well known for the delay consumption in underwater communication. In transmission system wireless communication is the transfer of information between two or more points that are not connected by an electrical conductor. WiMAX is the wireless communication standard designed to provide 30 to 40 Mega bits per second data rates. WiMAX as a standards based technology enabling the delivery of last mile wireless broadband access as an alternative to cable and DSL. WiMAX can provide at home or mobile internet access across whole cities or countries. The address generation of WiMAX is carried out by interleaver and deinterleaver. Interleaving is used to overcome correlated channel noise such as burst error or fading. The interleaver/deinterleaver rearranges input data such that consecutive data are spaced apart. The interleaved memory is to improve the speed of access to memory. The viterbi technique reduces the bit error rate and delay using wimax.
High Speed Low-Power Viterbi Decoder Using Trellis Code ModulationMangaiK4
Abstract - High speed low power viterbi decoders for trellis code modulation is well known for the delay consumption in underwater communication. In transmission system wireless communication is the transfer of information between two or more points that are not connected by an electrical conductor. WiMAX is the wireless communication standard designed to provide 30 to 40 Mega bits per second data rates. WiMAX as a standards based technology enabling the delivery of last mile wireless broadband access as an alternative to cable and DSL. WiMAX can provide at home or mobile internet access across whole cities or countries. The address generation of WiMAX is carried out by interleaver and deinterleaver. Interleaving is used to overcome correlated channel noise such as burst error or fading. The interleaver/deinterleaver rearranges input data such that consecutive data are spaced apart. The interleaved memory is to improve the speed of access to memory. The viterbi technique reduces the bit error rate and delay using wimax.
MODELLING AND SIMULATION OF 128-BIT CROSSBAR SWITCH FOR NETWORK -ONCHIPVLSICS Design
This is widely accepted that Network-on-Chip represents a promising solution for forthcoming complex embedded systems. The current SoC Solutions are built from heterogeneous hardware and Software components integrated around a complex communication infrastructure. The crossbar is a vital component of in any NoC router. In this work, we have designed a crossbar interconnect for serial bit data transfer and 128-parallel bit data transfer. We have shown comparision between power and delay for the serial bit and parallel bit data transfer through crossbar switch. The design is implemented in 0.180 micron TSM technology.The bit rate achived in serial transfer is slow as compared with parallel data transfer. The simulation resuls show that the critical path delay is less for parallel bit data transfer but power dissipation is high.
The Quality of the New Generator Sequence Improvent to Spread the Color Syste...TELKOMNIKA JOURNAL
This paper shows a new technic applicable for the digital devices that are the result of the finite’s
effect precision in the chaotic dynamics used in the coupled technic and the chaotic map’s perturbation
technics used for the generation of a Pseudo-Random Number Generator (PRNGs).The use of the
pseudo- chaotic sequences coupled to the orbit perturbation method in the chaotic logistic map and the
NewPiece-Wise Linear Chaotic Map (NPWLCM). The pseudo random number generator’s originality
proposed from the perturbation of the chaotic recurrence. Furthermore the outputs of the binary sequences
with NPWLCM are reconstructed conventionally with the Bernoulli’s sequences shifts map to change the
shapes with the bitwise permetation then the results in simulation are shown in progress.After being
perturbed, the chaotic system can generate the chaotic binary sequences in uniform distribution and the
statistical properties invulnerable analysis. This generator also has many advantages in the possible useful
applications of spread spectrum digitalimages, such as sensitive secret keys, random uniform distribution
of pixels in Crypto system in secure and synchronize communication.
This document proposes and evaluates a new chaotic communication system called Correlation Delay Shift Keying (CDSK). It summarizes the characteristics and advantages of using chaotic signals for communication. It then describes the CDSK system and compares its bit error rate performance using two different chaos maps (Tent map and a newly proposed Boss map) in additive white Gaussian noise and Rayleigh fading channels. The results show that the Boss map provides better bit error rate performance than the Tent map.
Neural network based identification of multimachine power systemcsandit
In recent years, the golden codes have proven to exhibit a superior performance in a wireless
MIMO (Multiple Input Multiple Output) scenario than any other code. However, a serious
limitation associated with it is its increased decoding complexity. This paper attempts to resolve
this challenge through suitable modification of golden code such that a less complex sphere
decoder could be used without much compromising the error rates. In this paper, a minimum
polynomial equation is introduced to obtain a reduced golden ratio (RGR) number for golden
code which demands only for a low complexity decoding procedure. One of the attractive
approaches used in this paper is that the effective channel matrix has been exploited to perform
a single symbol wise decoding instead of grouped symbols using a sphere decoder with tree
search algorithm. It has been observed that the low decoding complexity of O (q1.5) is obtained
against conventional method of O (q2.5). Simulation analysis envisages that in addition to
reduced decoding, improved error rates is also obtained.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
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
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
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.
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.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
“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.
7. Automatic Repeat Request
(ARQ)
Packet is retransmitted if it
is found to have errors.
Error control schemes
Forward Error Correction
(FEC)
FEC or channel coding is a
method used to increase
the performance of error
control
7
9. Interleaving techniques
The interleaving idea is utilized to limiting the need
of complex error control schemes
In addition to FEC it keeps the channel security
9
10. Interleaving definition
Interleaving is a periodic and reversible reordering of blocks of L
transmitted symbols
Interleaving is used to disperse error bursts that may occur
because of non-stationary channel noise that may be localized
to a few dimensions
10
11. Interleaving latency
the latency parameter is defined as the difference
between maximum and minimum delay of the interleaver
𝑑 = 𝑑 𝑚𝑎𝑥 − 𝑑 𝑚𝑖𝑛
11
13. The propertie of Chaos
Sensetivity to initial conditions (butterfly effect)
means that when a chaotic map is iteratively applied
to two initially close points, it iterates quickly diverge,
and become uncorrelated in the long term
13
21. The interleaving techniques which are based on
the encryption data tools. presents powerful
randomizing engine, furthermore, it enhances the
wireless link security.
22. References
• M. E. Abd Elhameed, M. A. M. El-Bendary, E. O. Begheet, H. M. Abd Elkader, “An Efficient Chaotic Interleaving with
Convolution Encoder and Decoder for Simplicity in LTE System”, International Journal of Networks and
Communications
• Mohsen A.M. El-Bendary , “Developing Security Tools of WSN and WBAN Networks Applications”, Springer Japan
2015
• O Eriksson, “Error Control in Wireless Sensor Networks A Process Control Perspective ”, UPPSALA UNIVERSITY
22