The document provides a list of tips for well-being that include exercising regularly, meditating daily, deep breathing when stressed, eating fruits and vegetables, listening to audio books, playing games, reading books, having close friends, getting massages, avoiding cellphones before bed, focusing on long term goals, helping others, fasting occasionally, reflecting quarterly, finding hobbies, sitting up straight, being clean, spending less than earned, practicing gratitude, traveling, and being a good listener.
CLK1 and CLK2 refer to two clocks in a design. Logically exclusive clocks can be generated from the same source clock but divided or gated differently, allowing them to co-exist in a design with some defined phase relationship and potential setup/hold violations during timing analysis windows. Asynchronous clocks come from different sources and have no defined phase relationship but require signal integrity analysis due to their infinite window overlap.
This document provides resources for learning about the semiconductor industry, including conferences, papers, tutorials and courses. It aims to help readers achieve productivity, learn new things, share information, and gain concise knowledge. The resources cover topics like static and dynamic power analysis, memory macros, verification, low power design, and more. The document is intended to be updated weekly with additional learning materials.
The document discusses various low power design techniques including reducing dynamic power through lowering toggle counts, clock gating at different levels, and reducing voltage. It also discusses reducing leakage power through multi threshold voltage cells, power gating, and body biasing. The techniques aim to optimize placement and routing to decrease switching activity and lower cell drive strengths when possible.
The document provides a list of tips for well-being that include exercising regularly, meditating daily, deep breathing when stressed, eating fruits and vegetables, listening to audio books, playing games, reading books, having close friends, getting massages, avoiding cellphones before bed, focusing on long term goals, helping others, fasting occasionally, reflecting quarterly, finding hobbies, sitting up straight, being clean, spending less than earned, practicing gratitude, traveling, and being a good listener.
CLK1 and CLK2 refer to two clocks in a design. Logically exclusive clocks can be generated from the same source clock but divided or gated differently, allowing them to co-exist in a design with some defined phase relationship and potential setup/hold violations during timing analysis windows. Asynchronous clocks come from different sources and have no defined phase relationship but require signal integrity analysis due to their infinite window overlap.
This document provides resources for learning about the semiconductor industry, including conferences, papers, tutorials and courses. It aims to help readers achieve productivity, learn new things, share information, and gain concise knowledge. The resources cover topics like static and dynamic power analysis, memory macros, verification, low power design, and more. The document is intended to be updated weekly with additional learning materials.
The document discusses various low power design techniques including reducing dynamic power through lowering toggle counts, clock gating at different levels, and reducing voltage. It also discusses reducing leakage power through multi threshold voltage cells, power gating, and body biasing. The techniques aim to optimize placement and routing to decrease switching activity and lower cell drive strengths when possible.
This document summarizes a study of built-in self-test (BIST) approaches for detecting single stuck-at faults in combinational logic circuits. Pseudorandom test patterns generated by a linear feedback shift register (LFSR) were applied in parallel and serially to benchmark circuits. Applying patterns in parallel via test-per-clock achieved high fault coverage but required a large LFSR for circuits with many inputs. Reseeding the LFSR improved coverage when an initial seed was ineffective. Seed selection and minimum LFSR size for different application methods were evaluated to optimize BIST fault detection.
The document describes several hardware-based data prefetching schemes that aim to reduce memory stalls by prefetching data into caches before it is needed by a program. It introduces fixed offset prefetching, stride-based prefetching, and tag correlated prefetching. It then discusses the simulation setup used to evaluate these schemes and presents results on their performance in terms of CPI, cache hit rate, and average memory access time. The tag correlated prefetching scheme achieved the best overall performance but at the cost of higher hardware complexity compared to the other schemes.
This document contains 136 questions related to digital design topics such as timing analysis, clock tree synthesis, power analysis, physical design, Verilog coding, and more. It covers concepts like setup time equations, hold time violations, statistical timing, ring oscillators, false paths, multicycle paths, crosstalk, clock jitter, power gating, clock tree structures, power reduction techniques, Elmore delay model, IR drop, DRC violations, multi-input switching, transition delay faults, decap cells, miller capacitance, temperature inversion, clock domain crossings, Moore's law, ECC, cache misses, pipelining, resets, synchronization, Dennard scaling, multi-bit flip-flops, correlation
This document discusses engineering change orders (ECOs) used to fix timing, functional, power, and clock issues after physical design and sign-off. It describes the motivation for ECOs due to tool limitations and differences between implementation and sign-off. Common ECO techniques are listed for timing (driver upsizing, buffer insertion, etc.), power (vt-swapping, downsizing, etc.), and metal-only ECOs. Timing ECO tools from Synopsys, Cadence, and other vendors are also mentioned. Upcoming ECO technologies like dynamic power optimization and automatic legalization are noted.
This document presents a sequential quadratic programming (SQP) algorithm for sizing clock meshes to minimize area while meeting skew constraints. The algorithm uses adjoint sensitivity analysis and a compact gate model to efficiently compute sensitivities. It formulates and solves a quadratic programming subproblem at each iteration to determine wire width updates. Experimental results on ISCAS and ISPD benchmarks show up to 33% reduction in clock mesh area compared to initial designs. Future work will extend the approach to simultaneously size interconnects and buffers.
This document discusses sources of variation in integrated circuit manufacturing and design. It covers variations that can occur during the front-end-of-line and back-end-of-line manufacturing processes, as well as variations due to operating conditions like voltage, temperature, and aging over time. The document also discusses approaches for modeling and accounting for variations, such as using timing corners in sign-off analysis and parametric on-chip variation modeling in the standard cell library.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
This document summarizes a study of built-in self-test (BIST) approaches for detecting single stuck-at faults in combinational logic circuits. Pseudorandom test patterns generated by a linear feedback shift register (LFSR) were applied in parallel and serially to benchmark circuits. Applying patterns in parallel via test-per-clock achieved high fault coverage but required a large LFSR for circuits with many inputs. Reseeding the LFSR improved coverage when an initial seed was ineffective. Seed selection and minimum LFSR size for different application methods were evaluated to optimize BIST fault detection.
The document describes several hardware-based data prefetching schemes that aim to reduce memory stalls by prefetching data into caches before it is needed by a program. It introduces fixed offset prefetching, stride-based prefetching, and tag correlated prefetching. It then discusses the simulation setup used to evaluate these schemes and presents results on their performance in terms of CPI, cache hit rate, and average memory access time. The tag correlated prefetching scheme achieved the best overall performance but at the cost of higher hardware complexity compared to the other schemes.
This document contains 136 questions related to digital design topics such as timing analysis, clock tree synthesis, power analysis, physical design, Verilog coding, and more. It covers concepts like setup time equations, hold time violations, statistical timing, ring oscillators, false paths, multicycle paths, crosstalk, clock jitter, power gating, clock tree structures, power reduction techniques, Elmore delay model, IR drop, DRC violations, multi-input switching, transition delay faults, decap cells, miller capacitance, temperature inversion, clock domain crossings, Moore's law, ECC, cache misses, pipelining, resets, synchronization, Dennard scaling, multi-bit flip-flops, correlation
This document discusses engineering change orders (ECOs) used to fix timing, functional, power, and clock issues after physical design and sign-off. It describes the motivation for ECOs due to tool limitations and differences between implementation and sign-off. Common ECO techniques are listed for timing (driver upsizing, buffer insertion, etc.), power (vt-swapping, downsizing, etc.), and metal-only ECOs. Timing ECO tools from Synopsys, Cadence, and other vendors are also mentioned. Upcoming ECO technologies like dynamic power optimization and automatic legalization are noted.
This document presents a sequential quadratic programming (SQP) algorithm for sizing clock meshes to minimize area while meeting skew constraints. The algorithm uses adjoint sensitivity analysis and a compact gate model to efficiently compute sensitivities. It formulates and solves a quadratic programming subproblem at each iteration to determine wire width updates. Experimental results on ISCAS and ISPD benchmarks show up to 33% reduction in clock mesh area compared to initial designs. Future work will extend the approach to simultaneously size interconnects and buffers.
This document discusses sources of variation in integrated circuit manufacturing and design. It covers variations that can occur during the front-end-of-line and back-end-of-line manufacturing processes, as well as variations due to operating conditions like voltage, temperature, and aging over time. The document also discusses approaches for modeling and accounting for variations, such as using timing corners in sign-off analysis and parametric on-chip variation modeling in the standard cell library.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.