Jeremy Krisel Berke is a recent graduate from RIT with degrees in electrical engineering, philosophy, and a minor in astronomy. He has work experience as an intern at Sierra Nevada Corporation where he conducted analysis of electromagnetic interference on the Dream Chaser spacecraft. Berke now works as an EMR specialist at Berke Eye Care where he enters patient data, performs OCT scans of retinas, and photographs fundus. He is skilled in various engineering software and hardware and has completed projects in areas such as active laser stabilization, mechatronics, optics, computer architecture, and circuits.
1. The document proposes using autoencoder neural networks for anomaly detection in wireless sensor networks (WSN) in an Internet of Things (IoT) system.
2. It has minimal communication and computation requirements compared to other methods, and the distributed nature is well-suited for WSN.
3. The paper presents a two-part algorithm using a single hidden layer autoencoder model and evaluates its performance on temperature and humidity sensor data from a WSN testbed, showing it can accurately detect anomalies over 90% of the time.
The document discusses the development of a reusable software architecture for new oscilloscope products. It describes problems with previous approaches that led to little code reuse and custom products. Three solutions are evaluated:
1) An object-oriented approach had drawbacks like no overall model and confusion over object interactions.
2) A layered approach was not a good fit as the layer boundaries conflicted with needed function interactions.
3) A pipes and filters approach modeled oscilloscope functions as incremental data transformers but did not enable user interaction.
The best solution was a modified pipes and filters architecture that formed the basis for the next generation of oscilloscopes.
This resume summarizes Rehan Ahmed's qualifications for an analog/mixed-signal design engineer position. He has 5 years of research experience in designing low power circuits like PLLs, voltage references, and power management circuits. He is proficient in Cadence tools and has experience with full chip integration and tape outs. Rehan holds a PhD in electrical engineering from Oklahoma State University where his dissertation involved designing the front end of a 900MHz RFID for biological sensing.
Christopher Floyd is pursuing a Master's degree in Electrical Engineering at New Mexico State University, where he has maintained a 3.6 GPA. His coursework has focused on signals and systems, electromagnetics, electronics, and optics. He has research experience in fiber optics, optical waveguides, and proton irradiation. For his senior project, Floyd helped design and build a sun sensor that could track and rotate towards the sun. He is seeking a position in research and design or testing, particularly in the optics field.
The presentation outlines simulations of electromagnetic fields in photonic nanostructures. It discusses modeling light scattering from 1D and 2D grids of nanoparticles, as well as 2D grids with sequentially twisted ellipsoids. The polarization response is calculated as the number of particles increases. Computing efficiency and applications in optics and microwave engineering are also reviewed. The author acknowledges support from research programs and mentors.
This document lists several technology companies that are involved in near field communication (NFC) chips, including NXP Semiconductors, Inside Contactless, Shanghai Fudan Microelectronics, STMicroelectronics, and Texas Instruments. It also mentions Nokia and mentions Pulse and Technitrol without context.
IOT Use Cases by Derick Jose - Co-founder and Chief Product Officer of M2M pl...The Hive
Talk by Derick Jose - Co-founder and Chief Product Officer of M2M platform at Flutura at The Hive Big Data Think Tank Internet of Things Meetup hosted at Intel India
Jeremy Krisel Berke is a recent graduate from RIT with degrees in electrical engineering, philosophy, and a minor in astronomy. He has work experience as an intern at Sierra Nevada Corporation where he conducted analysis of electromagnetic interference on the Dream Chaser spacecraft. Berke now works as an EMR specialist at Berke Eye Care where he enters patient data, performs OCT scans of retinas, and photographs fundus. He is skilled in various engineering software and hardware and has completed projects in areas such as active laser stabilization, mechatronics, optics, computer architecture, and circuits.
1. The document proposes using autoencoder neural networks for anomaly detection in wireless sensor networks (WSN) in an Internet of Things (IoT) system.
2. It has minimal communication and computation requirements compared to other methods, and the distributed nature is well-suited for WSN.
3. The paper presents a two-part algorithm using a single hidden layer autoencoder model and evaluates its performance on temperature and humidity sensor data from a WSN testbed, showing it can accurately detect anomalies over 90% of the time.
The document discusses the development of a reusable software architecture for new oscilloscope products. It describes problems with previous approaches that led to little code reuse and custom products. Three solutions are evaluated:
1) An object-oriented approach had drawbacks like no overall model and confusion over object interactions.
2) A layered approach was not a good fit as the layer boundaries conflicted with needed function interactions.
3) A pipes and filters approach modeled oscilloscope functions as incremental data transformers but did not enable user interaction.
The best solution was a modified pipes and filters architecture that formed the basis for the next generation of oscilloscopes.
This resume summarizes Rehan Ahmed's qualifications for an analog/mixed-signal design engineer position. He has 5 years of research experience in designing low power circuits like PLLs, voltage references, and power management circuits. He is proficient in Cadence tools and has experience with full chip integration and tape outs. Rehan holds a PhD in electrical engineering from Oklahoma State University where his dissertation involved designing the front end of a 900MHz RFID for biological sensing.
Christopher Floyd is pursuing a Master's degree in Electrical Engineering at New Mexico State University, where he has maintained a 3.6 GPA. His coursework has focused on signals and systems, electromagnetics, electronics, and optics. He has research experience in fiber optics, optical waveguides, and proton irradiation. For his senior project, Floyd helped design and build a sun sensor that could track and rotate towards the sun. He is seeking a position in research and design or testing, particularly in the optics field.
The presentation outlines simulations of electromagnetic fields in photonic nanostructures. It discusses modeling light scattering from 1D and 2D grids of nanoparticles, as well as 2D grids with sequentially twisted ellipsoids. The polarization response is calculated as the number of particles increases. Computing efficiency and applications in optics and microwave engineering are also reviewed. The author acknowledges support from research programs and mentors.
This document lists several technology companies that are involved in near field communication (NFC) chips, including NXP Semiconductors, Inside Contactless, Shanghai Fudan Microelectronics, STMicroelectronics, and Texas Instruments. It also mentions Nokia and mentions Pulse and Technitrol without context.
IOT Use Cases by Derick Jose - Co-founder and Chief Product Officer of M2M pl...The Hive
Talk by Derick Jose - Co-founder and Chief Product Officer of M2M platform at Flutura at The Hive Big Data Think Tank Internet of Things Meetup hosted at Intel India
This document describes a microcontroller-based semiconductor device tester that can test diodes, bipolar junction transistors (BJTs), and junction field effect transistors (JFETs). The tester identifies the device type and determines the leads. It then measures key parameters like forward voltage and current for diodes, current gain for BJTs, and cutoff voltage, saturation current, and drain-source resistance for JFETs. The tester uses a PIC microcontroller, analog multiplexer, digital-to-analog converter, and LCD for a low-cost, low-power, and user-friendly design. Test results are clearly displayed on the LCD for analysis.
This document describes a radar jamming circuit designed to jam an X-band radar. The circuit uses an ATmega16 microcontroller, Basic Stamp microcontroller, two X-band motion detector modules, and an LCD display. One motion detector acts as the radar and the other acts as a jammer, generating a 10.5 GHz frequency using the Doppler effect. Testing showed that when the jammer was active, it successfully denied the radar detection by reducing the number of detected pulses compared to when no jamming occurred. The results demonstrate that an active jamming technique can effectively deny the use of the radar spectrum within a certain distance between the radar and jammer.
Adaptive Monitoring and Localization of Faulty Node in a Wireless Sensor Netw...Onyebuchi nosiri
This document summarizes a study that developed an adaptive monitoring system using a wireless sensor network to detect faulty nodes. Sensor nodes were deployed to monitor temperature and carbon monoxide levels in an indoor environment. An algorithm was developed to detect faulty nodes based on a received signal strength threshold of -100 dBm. Data transmitted from the sensor nodes was visualized using a C-sharp interface. The results showed the sensor nodes could capture a temperature range of 25-51°C and carbon monoxide levels of 0.01-30 g/m3. Comparing data at the source and destination showed a 93.25% correlation, validating the integrity of the data received.
Adaptive Monitoring and Localization of Faulty Node in a Wireless Sensor Netw...Onyebuchi nosiri
This document describes a study that developed an adaptive monitoring and localization system for faulty nodes in a wireless sensor network. Sensor nodes were deployed to monitor temperature and carbon monoxide levels. An algorithm was created to detect faulty nodes based on a received signal strength threshold of -100 dBm. When a node fell below this threshold, its address was checked against a database to locate the faulty node. The results showed the sensor nodes could capture a temperature range of 25-51°C and carbon monoxide levels of 0.01-30 g/m3. When comparing transmitted and received data, a 93.25% correlation validated data integrity. An artificial neural network and logistic regression model were also developed to route data transmission between nodes in the
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 describes a proposed intelligent face mask detection and automatic door opening system. The system uses computer vision to detect whether a person is wearing a face mask or not in public places. It aims to create a safer environment by automating monitoring of social distancing and face mask compliance. The system would use a camera and model on a computer to detect violations and reduce the need for manual inspection. It could be implemented to inspect people at locations where lockdowns are being eased, like shopping malls, to help curb the spread of COVID-19.
Park’s Vector Approach to detect an inter turn stator fault in a doubly fed i...cscpconf
An electrical machine failure that is not identified in an initial stage may become catastrophic and it may suffer severe damage. Thus, undetected machine faults may cascade in it failure, which in turn may cause production shutdowns. Such shutdowns are costly in terms of lost production time, maintenance costs, and wasted raw materials. Doubly fed induction generators are used mainly for wind energy conversion in MW power plants. This paper presents a detection of an inter turn stator fault in a doubly fed induction machine whose stator and rotor are supplied by two pulse width modulation (PWM) inverters. The method used in this article to detect this fault, is based on Park’s Vector Approach , using a neural network s.
Gene's law, Common gate, kernel Principal Component Analysis, ASIC Physical Design Post-Layout Verification, TSMC180nm, 0.13um IBM CMOS technology, Cadence Virtuoso, FPAA, in Spanish, Bruun E,
This document discusses using artificial neural networks (ANNs) and statistical techniques to classify partial discharge (PD) defects within cross-linked polyethylene (XLPE) medium voltage cables. PD measurements were taken from six cables with different defects and voltages. Statistical features were extracted from the 3D PD patterns to form the input for various ANNs for classification. 72 different ANN structures were analyzed to determine the most effective and optimal classification technique, based on metrics like mean square error and accuracy. The proposed approach achieved high recognition rates for identifying different types of PD defects within XLPE cables.
IRJET- Measuring Current and Power of Different Electrical EnginesIRJET Journal
This document describes a device designed to measure the current and power consumed by electric motors using Arduino and non-invasive current sensors. The device uses an Arduino Mega 2560 microcontroller to control a 2.8-inch TFT display, three current sensors, and an SD card module to store measurement data. The current sensors measure the current in single-phase, two-phase, and three-phase electric motors without cutting motor wires. Measurements are displayed on the TFT screen and stored on an SD card. The device is housed in a plastic cabinet and powered by an adjustable power supply. Tests were performed measuring current in three-phase motors of different voltages. The device allows continuous, remote monitoring of motor current
International Journal of Computational Engineering Research(IJCER) ijceronline
nternational Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
A Smart Handheld Measuring and Testing Electronic Device with Touch ScreenIJTET Journal
Hand in hand instrument replaces the old traditional way of measuring and testing in colleges and helps in easy way of understanding theoretical concepts based on practical knowledge. As there occurs shortage of instruments, long duration of calculation, large occupation of space, low accuracy, inconvenience come about in completing the work. A single Smart device which is a multipurpose handheld instrument overcomes the above difficulties and helps in measuring voltage, current, resistance, frequency, temperature, speed, sound and to observe waveforms for engineering students in the laboratories. In a single ARM Cortex M3 microcontroller all measurements are done and displayed within a fraction of time in the TFT graphical LCD display. The data and waveforms from oscilloscope can be saved and retrieved for future analyzing purpose which is done using a Micro SD memory card. The device is fully operated with touch screen and touch buttons. The device works with help of LPC1313, a powerful 32-bit ARM Cortex-M3 microcontroller from NXP Semiconductors.
POWER ELECTRONICS LAB MANUAL, DR. B G SHIVALEELAVATHI, JSSATEBShivaleelavathi B G
The static characteristics of an SCR were measured. The forward V-I characteristics were plotted for different gate currents which showed the threshold voltage. The forward resistance was calculated from the characteristics. The holding and latching currents were also determined by applying different anode currents and observing the SCR state with the gate open.
DETECTION OF FAULT LOCATION IN TRANSMISSION LINE USING INTERNET OF THINGS (IOT)Journal For Research
Transmission lines are used to transmit electric power to distant large load centres. These lines are exposed to faults as a result of lightning, short circuits, faulty equipment’s, miss-operation, human errors, overload, and aging.To avoid this situation, and we need the exact location of fault occurrence. This problem ishandled by a set of resistors representing cable length in KMs and fault creation is made by a set of switches at every known KM to cross check the accuracy of the same. The fault occurring at what distance and which phase is displayed on a 16X2 LCD interfaced with the microcontroller. Calculated values are sends to the receiving section with help of Zigbee. Measured values are updated in PC and monitored with help of .NET. RTC is used here to time and date reference, that when the event occurs.
The document analyzes and compares the performance of two Medium Access Control (MAC) protocols for wireless sensor networks: Sensor MAC (S-MAC) and Hybrid MAC (H-MAC).
[1] S-MAC is a contention-based protocol that reduces energy waste from idle listening by implementing synchronized sleep and listen schedules. Nodes form virtual clusters to wake up and communicate at the same time. H-MAC improves on this with a slotted frame structure that dynamically allocates slots.
[2] The performance of the two protocols is evaluated based on end-to-end delay, packet delivery ratio, packet drop rate, and energy consumption using the NS2 simulation tool.
[3] Spatial correlation
IRJET- Performance Estimation of FIR Filter using Null Convention LogicIRJET Journal
This document presents a design for a low power, high speed FIR filter using Null Convention Logic (NCL). NCL is an asynchronous logic style that uses dual rail encoding to reduce power consumption by decreasing switching activity. The author designs basic logic gates, adders, multipliers, and a D flip-flop using NCL. An 8-tap FIR filter is then implemented using these NCL components. Simulation results in a 90nm process show the NCL FIR filter has 22% lower power consumption and 2% higher speed compared to a design using conventional CMOS logic. In conclusion, NCL is an effective approach for implementing low power, high performance FIR filters.
Short Term Load Forecasting: One Week (With & Without Weekend) Using Artifici...IJLT EMAS
This paper present for analysis of short term load forecasting: one week (with & without weekend) using ANN techniques for SLDC of Gujarat. In this paper short term electric load forecasting using neural network; based on historical load demand, The Levenberg-Marquardt optimization technique which has one of the best learning rates was used as a back propagation algorithm for the Multilayer Feed Forward ANN model using MATLAB.12 ANN tool box. Design a model for one week (with & w/o weekend) load pattern for STLF using the neural network have been input variables are (Min., Avg., & Max. load demands for previous week, Min., Avg., & Max. temperature for previous week & Min., Avg., & Max. humidity for previous week). And Nov-12 to Apr-13 (6 Months) historical load data from the SLDC, Gujarat are used for training, testing and showing the good performance. Using this ANN model computing the mean absolute error between the exact and predicted values, we were able to obtain an absolute mean error within specified limit and regression value close to one. This represents a high degree of accuracy.
The document describes a motion-based message conveyer system for paralytic disabled persons. The system uses an Arduino board, accelerometer, LCD display, voice module, and speaker. Gestures detected by the accelerometer will play corresponding recorded voice messages on the speaker to communicate basic needs like food, water, or medicine. The system provides a low-cost way for paralytic patients to communicate their needs through simple gestures. It aims to improve independence and quality of life for those unable to communicate verbally.
The automotive industry requires an automated system to sort different sizes and shapes
objects, images which are the mainly used component in the industry, to improve the overall
productivity. There are things at which humans are still way ahead of the machines in terms of
efficiency one of such thing is the recognition especially pattern recognition. There are several
methods which are tested for giving the machines the intelligence in efficient way for pattern
recognition purpose. The artificial neural network is one of the most optimization techniques used
for training the networks for efficient recognition. Computer vision is the science and technology of
machines that can see. The machine is made by integration of many parts to extract information from
an image in order to solve some task. Principle component analysis is a technique that will be
suitably used for the application purpose for sorting, inspection, fault diagnosis in various field.
Exploiting fault model correlations to accelerate seu sensitivity assessmentYgor Aguiar
O artigo propõe uma metodologia automatizada para acelerar a injeção de falhas SEU em circuitos digitais, baseada na correlação entre os efeitos do modelo de falhas SEU e o modelo Stuck-At. A abordagem sugere que se um circuito é insensível a falhas Stuck-At em um flip-flop, ele também será insensível a falhas SEU no mesmo flip-flop, reduzindo o número de falhas a serem injetadas. Experimentos com cinco circuitos mostraram que a metodologia pode acelerar a injeção de
More Related Content
Similar to Design Robustness Evaluation for Permanent and Single Event Transient
This document describes a microcontroller-based semiconductor device tester that can test diodes, bipolar junction transistors (BJTs), and junction field effect transistors (JFETs). The tester identifies the device type and determines the leads. It then measures key parameters like forward voltage and current for diodes, current gain for BJTs, and cutoff voltage, saturation current, and drain-source resistance for JFETs. The tester uses a PIC microcontroller, analog multiplexer, digital-to-analog converter, and LCD for a low-cost, low-power, and user-friendly design. Test results are clearly displayed on the LCD for analysis.
This document describes a radar jamming circuit designed to jam an X-band radar. The circuit uses an ATmega16 microcontroller, Basic Stamp microcontroller, two X-band motion detector modules, and an LCD display. One motion detector acts as the radar and the other acts as a jammer, generating a 10.5 GHz frequency using the Doppler effect. Testing showed that when the jammer was active, it successfully denied the radar detection by reducing the number of detected pulses compared to when no jamming occurred. The results demonstrate that an active jamming technique can effectively deny the use of the radar spectrum within a certain distance between the radar and jammer.
Adaptive Monitoring and Localization of Faulty Node in a Wireless Sensor Netw...Onyebuchi nosiri
This document summarizes a study that developed an adaptive monitoring system using a wireless sensor network to detect faulty nodes. Sensor nodes were deployed to monitor temperature and carbon monoxide levels in an indoor environment. An algorithm was developed to detect faulty nodes based on a received signal strength threshold of -100 dBm. Data transmitted from the sensor nodes was visualized using a C-sharp interface. The results showed the sensor nodes could capture a temperature range of 25-51°C and carbon monoxide levels of 0.01-30 g/m3. Comparing data at the source and destination showed a 93.25% correlation, validating the integrity of the data received.
Adaptive Monitoring and Localization of Faulty Node in a Wireless Sensor Netw...Onyebuchi nosiri
This document describes a study that developed an adaptive monitoring and localization system for faulty nodes in a wireless sensor network. Sensor nodes were deployed to monitor temperature and carbon monoxide levels. An algorithm was created to detect faulty nodes based on a received signal strength threshold of -100 dBm. When a node fell below this threshold, its address was checked against a database to locate the faulty node. The results showed the sensor nodes could capture a temperature range of 25-51°C and carbon monoxide levels of 0.01-30 g/m3. When comparing transmitted and received data, a 93.25% correlation validated data integrity. An artificial neural network and logistic regression model were also developed to route data transmission between nodes in the
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 describes a proposed intelligent face mask detection and automatic door opening system. The system uses computer vision to detect whether a person is wearing a face mask or not in public places. It aims to create a safer environment by automating monitoring of social distancing and face mask compliance. The system would use a camera and model on a computer to detect violations and reduce the need for manual inspection. It could be implemented to inspect people at locations where lockdowns are being eased, like shopping malls, to help curb the spread of COVID-19.
Park’s Vector Approach to detect an inter turn stator fault in a doubly fed i...cscpconf
An electrical machine failure that is not identified in an initial stage may become catastrophic and it may suffer severe damage. Thus, undetected machine faults may cascade in it failure, which in turn may cause production shutdowns. Such shutdowns are costly in terms of lost production time, maintenance costs, and wasted raw materials. Doubly fed induction generators are used mainly for wind energy conversion in MW power plants. This paper presents a detection of an inter turn stator fault in a doubly fed induction machine whose stator and rotor are supplied by two pulse width modulation (PWM) inverters. The method used in this article to detect this fault, is based on Park’s Vector Approach , using a neural network s.
Gene's law, Common gate, kernel Principal Component Analysis, ASIC Physical Design Post-Layout Verification, TSMC180nm, 0.13um IBM CMOS technology, Cadence Virtuoso, FPAA, in Spanish, Bruun E,
This document discusses using artificial neural networks (ANNs) and statistical techniques to classify partial discharge (PD) defects within cross-linked polyethylene (XLPE) medium voltage cables. PD measurements were taken from six cables with different defects and voltages. Statistical features were extracted from the 3D PD patterns to form the input for various ANNs for classification. 72 different ANN structures were analyzed to determine the most effective and optimal classification technique, based on metrics like mean square error and accuracy. The proposed approach achieved high recognition rates for identifying different types of PD defects within XLPE cables.
IRJET- Measuring Current and Power of Different Electrical EnginesIRJET Journal
This document describes a device designed to measure the current and power consumed by electric motors using Arduino and non-invasive current sensors. The device uses an Arduino Mega 2560 microcontroller to control a 2.8-inch TFT display, three current sensors, and an SD card module to store measurement data. The current sensors measure the current in single-phase, two-phase, and three-phase electric motors without cutting motor wires. Measurements are displayed on the TFT screen and stored on an SD card. The device is housed in a plastic cabinet and powered by an adjustable power supply. Tests were performed measuring current in three-phase motors of different voltages. The device allows continuous, remote monitoring of motor current
International Journal of Computational Engineering Research(IJCER) ijceronline
nternational Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
A Smart Handheld Measuring and Testing Electronic Device with Touch ScreenIJTET Journal
Hand in hand instrument replaces the old traditional way of measuring and testing in colleges and helps in easy way of understanding theoretical concepts based on practical knowledge. As there occurs shortage of instruments, long duration of calculation, large occupation of space, low accuracy, inconvenience come about in completing the work. A single Smart device which is a multipurpose handheld instrument overcomes the above difficulties and helps in measuring voltage, current, resistance, frequency, temperature, speed, sound and to observe waveforms for engineering students in the laboratories. In a single ARM Cortex M3 microcontroller all measurements are done and displayed within a fraction of time in the TFT graphical LCD display. The data and waveforms from oscilloscope can be saved and retrieved for future analyzing purpose which is done using a Micro SD memory card. The device is fully operated with touch screen and touch buttons. The device works with help of LPC1313, a powerful 32-bit ARM Cortex-M3 microcontroller from NXP Semiconductors.
POWER ELECTRONICS LAB MANUAL, DR. B G SHIVALEELAVATHI, JSSATEBShivaleelavathi B G
The static characteristics of an SCR were measured. The forward V-I characteristics were plotted for different gate currents which showed the threshold voltage. The forward resistance was calculated from the characteristics. The holding and latching currents were also determined by applying different anode currents and observing the SCR state with the gate open.
DETECTION OF FAULT LOCATION IN TRANSMISSION LINE USING INTERNET OF THINGS (IOT)Journal For Research
Transmission lines are used to transmit electric power to distant large load centres. These lines are exposed to faults as a result of lightning, short circuits, faulty equipment’s, miss-operation, human errors, overload, and aging.To avoid this situation, and we need the exact location of fault occurrence. This problem ishandled by a set of resistors representing cable length in KMs and fault creation is made by a set of switches at every known KM to cross check the accuracy of the same. The fault occurring at what distance and which phase is displayed on a 16X2 LCD interfaced with the microcontroller. Calculated values are sends to the receiving section with help of Zigbee. Measured values are updated in PC and monitored with help of .NET. RTC is used here to time and date reference, that when the event occurs.
The document analyzes and compares the performance of two Medium Access Control (MAC) protocols for wireless sensor networks: Sensor MAC (S-MAC) and Hybrid MAC (H-MAC).
[1] S-MAC is a contention-based protocol that reduces energy waste from idle listening by implementing synchronized sleep and listen schedules. Nodes form virtual clusters to wake up and communicate at the same time. H-MAC improves on this with a slotted frame structure that dynamically allocates slots.
[2] The performance of the two protocols is evaluated based on end-to-end delay, packet delivery ratio, packet drop rate, and energy consumption using the NS2 simulation tool.
[3] Spatial correlation
IRJET- Performance Estimation of FIR Filter using Null Convention LogicIRJET Journal
This document presents a design for a low power, high speed FIR filter using Null Convention Logic (NCL). NCL is an asynchronous logic style that uses dual rail encoding to reduce power consumption by decreasing switching activity. The author designs basic logic gates, adders, multipliers, and a D flip-flop using NCL. An 8-tap FIR filter is then implemented using these NCL components. Simulation results in a 90nm process show the NCL FIR filter has 22% lower power consumption and 2% higher speed compared to a design using conventional CMOS logic. In conclusion, NCL is an effective approach for implementing low power, high performance FIR filters.
Short Term Load Forecasting: One Week (With & Without Weekend) Using Artifici...IJLT EMAS
This paper present for analysis of short term load forecasting: one week (with & without weekend) using ANN techniques for SLDC of Gujarat. In this paper short term electric load forecasting using neural network; based on historical load demand, The Levenberg-Marquardt optimization technique which has one of the best learning rates was used as a back propagation algorithm for the Multilayer Feed Forward ANN model using MATLAB.12 ANN tool box. Design a model for one week (with & w/o weekend) load pattern for STLF using the neural network have been input variables are (Min., Avg., & Max. load demands for previous week, Min., Avg., & Max. temperature for previous week & Min., Avg., & Max. humidity for previous week). And Nov-12 to Apr-13 (6 Months) historical load data from the SLDC, Gujarat are used for training, testing and showing the good performance. Using this ANN model computing the mean absolute error between the exact and predicted values, we were able to obtain an absolute mean error within specified limit and regression value close to one. This represents a high degree of accuracy.
The document describes a motion-based message conveyer system for paralytic disabled persons. The system uses an Arduino board, accelerometer, LCD display, voice module, and speaker. Gestures detected by the accelerometer will play corresponding recorded voice messages on the speaker to communicate basic needs like food, water, or medicine. The system provides a low-cost way for paralytic patients to communicate their needs through simple gestures. It aims to improve independence and quality of life for those unable to communicate verbally.
The automotive industry requires an automated system to sort different sizes and shapes
objects, images which are the mainly used component in the industry, to improve the overall
productivity. There are things at which humans are still way ahead of the machines in terms of
efficiency one of such thing is the recognition especially pattern recognition. There are several
methods which are tested for giving the machines the intelligence in efficient way for pattern
recognition purpose. The artificial neural network is one of the most optimization techniques used
for training the networks for efficient recognition. Computer vision is the science and technology of
machines that can see. The machine is made by integration of many parts to extract information from
an image in order to solve some task. Principle component analysis is a technique that will be
suitably used for the application purpose for sorting, inspection, fault diagnosis in various field.
Similar to Design Robustness Evaluation for Permanent and Single Event Transient (20)
Exploiting fault model correlations to accelerate seu sensitivity assessmentYgor Aguiar
O artigo propõe uma metodologia automatizada para acelerar a injeção de falhas SEU em circuitos digitais, baseada na correlação entre os efeitos do modelo de falhas SEU e o modelo Stuck-At. A abordagem sugere que se um circuito é insensível a falhas Stuck-At em um flip-flop, ele também será insensível a falhas SEU no mesmo flip-flop, reduzindo o número de falhas a serem injetadas. Experimentos com cinco circuitos mostraram que a metodologia pode acelerar a injeção de
Reliability Evaluation of Combinational Circuits from a Standard Cell LibraryYgor Aguiar
This document discusses reliability evaluation of combinational circuits using the NFAS reliability analysis tool. The tool was used to evaluate single event transients (SETs) in three combinational logic cells from a 45nm standard cell library. Experiments examined the effects of operating frequency, technology node, SET characteristics, and linear energy transfer on propagated faults. Results showed propagated faults increasing with higher frequency and linear energy transfer, and decreasing with more advanced technology nodes. The NFAS tool provides useful information for developing more robust and efficient fault tolerant techniques.
Automação e Análise da Inserção de falhas Single Event Transient em Circuitos...Ygor Aguiar
[1] O documento descreve o desenvolvimento de uma ferramenta para inserção automática de falhas transiente (SET) em circuitos combinacionais projetados em tecnologias nanométricas. [2] A ferramenta simula os efeitos da radiação em circuitos digitais e permite analisar como os circuitos se comportam quando expostos a falhas transiente. [3] O documento apresenta a fundamentação teórica sobre radiação e SET, a implementação da ferramenta usando Java e simulação elétrica com NGSPICE, e
Automação da Inserção de falhas Single Event Transient em Circuitos Combinaci...Ygor Aguiar
❖ O documento discute a inserção automática de falhas do tipo Single Event Transient (SET) em circuitos combinacionais em tecnologias nanométricas para estudar os efeitos de radiação.
❖ Foi desenvolvida uma ferramenta em Java que simula a inserção de falhas SET através do simulador elétrico NgSpice e analisa a propagação das falhas.
❖ A ferramenta foi testada na simulação de falhas em uma porta lógica NOR de dois entradas.
Relatório da Simulação de modelo Eletromecânico – Motor CCYgor Aguiar
Este relatório apresenta os resultados da simulação de um modelo eletromecânico de um motor CC. A análise mostra que a corrente de armadura varia de acordo com a carga no eixo do motor, enquanto a velocidade é controlada pela tensão de armadura. Os gráficos ilustram como a velocidade, torque e tensão induzida respondem às variações de carga.
Palestra - Programa de Educação Tutorial Ciências ComputacionaisYgor Aguiar
O documento descreve o Programa de Educação Tutorial (PET) Ciências Computacionais da Universidade Federal do Rio Grande, incluindo seu objetivo de integrar ensino, pesquisa e extensão. Detalha as atividades do PET, como palestras, seminários e projetos de extensão, além do processo de seleção que inclui análise curricular, provas e dinâmica de grupo.
Análise da resposta natural e a um degrau de um circuito RL e RC utilizando P...Ygor Aguiar
[1] Análise da resposta natural e a um degrau de circuitos RC e RL utilizando simulações no PSpice. [2] Circuitos apresentam comportamento exponencial na resposta. [3] Simulações comprovam teoria e permitem análise gráfica da tensão e corrente nos elementos.
Relatório da Análise da Rede de Internet através do prompt de comando do WindowsYgor Aguiar
Este relatório apresenta os resultados de comandos PING, TRACERT e NSLOOKUP executados para diversos servidores. O PING mostrou altas taxas de perda de pacotes para alguns servidores e variabilidade nos tempos de resposta. O TRACERT revelou o caminho e número de nós atravessados. O NSLOOKUP forneceu os endereços IP correspondentes aos nomes de domínio pesquisados.
A importância da Lei e o Processo Legislativo como mecanismo de regularização...Ygor Aguiar
O documento discute a importância da legislação e do processo legislativo para regularizar a sociedade e fiscalizar os agentes públicos. Ele explica que o Brasil adota o sistema jurídico romano-germânico baseado no direito escrito. Também descreve as três fases do processo legislativo ordinário - introdução, constituição e complementar - e os princípios constitucionais como legalidade e impessoalidade.
This presentation is part of an activity named "World Tour" that PET Ciências Computacionais has been developing in order to improve the english skills of its members.
O curso de Engenharia de Automação e o seu ensino na FURGYgor Aguiar
O documento descreve o curso de Engenharia de Automação oferecido pela Universidade Federal do Rio Grande, incluindo sua estrutura, conteúdo e projetos desenvolvidos. O curso tem duração de 5 anos e abrange disciplinas das ciências exatas e da engenharia, com foco em sistemas automáticos, robótica, manufatura e produção industrial.
Otimização do dimensionamento dos transistores de um circuito somador para re...Ygor Aguiar
● O documento descreve um estudo para otimizar o dimensionamento dos transistores de um circuito somador visando reduzir atrasos, consumo de potência e produto potência-atraso.
● Foram simulados 4 circuitos somadores variando as larguras Wp e Wn dos transistores e medidas métricas de desempenho e potência.
● Os resultados mostraram que diferentes dimensionamentos são ótimos para desempenho, potência e produto potência-atraso.
O documento discute os barramentos I2C e SPI, comparando suas características e aplicações. O I2C usa apenas duas linhas de comunicação enquanto o SPI usa três ou mais, e o I2C oferece recursos mais avançados como operação multi-mestre. Ambos são adequados para comunicação de baixa velocidade entre circuitos integrados como microcontroladores e periféricos.
Programação no Computador Hipotético RamsesYgor Aguiar
O programa determina quantas posições entre 150-152 possuem conteúdo par armazenando o resultado no endereço 128. Ele faz isso analisando o bit menos significativo de cada posição e contando os pares em A. No final, A contém 2, indicando que 2 posições eram pares.
Este projeto propõe um sistema de automação residencial para controlar a iluminação e abertura de janelas de forma inteligente. O projeto foi dividido em três subprojetos: central de controle, iluminação e janelas/cortinas. O sistema utiliza sensores e um microcontrolador para regular a intensidade da luz e a abertura das janelas de acordo com a luminosidade do ambiente.
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%.
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.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Design Robustness Evaluation for Permanent and Single Event Transient
1. NFAS-tool: Design Robustness Evaluation for Permanent and Single
Event Transient Faults in Combinational Logic Cells
Universidade Federal do Rio Grande do Sul
Instituto de Informática
Av. Bento Gonçalves, 9500 - Campus do Vale. Bloco IV
CP15064, 91501-970- Porto Alegre-Brazil
{yqaguiar, alzimpeck, cmeinhardt, reis}@inf.ufrgs.br
Ygor Q. De Aguiar, Alexandra L. Zimpeck, Cristina Meinhardt, Ricardo Augusto da L. Reis
Fault Injection
In the nanoscale technology context, to design reliable systems out of unreliable devices, it is imperative to do fault modeling and the
adoption of EDA tools, which allow the assessment of circuits regarding the reliability [1]. Thus, this work presents a tool to evaluate the
design robustness of logic circuits under three different and main types of faults found in combinational cells at nanotechnologies: Single
Event Transient, Stuck-On and Stuck-Open faults.
SET
Stuck-Open (SOF)Stuck-On (SOnF)Single Event Transient (SET)
A B OUT OUT*
0 0 1 X
0 1 0 0
1 0 0 0
1 1 0 0
Connection between two nodes of the
transistor will never happen.
Connection between two nodes of the
transistor always happen.
Single particle hits on a sensitive region of transistor
and generates a transient pulse [2].
A B OUT OUT*
0 0 1 1
0 1 0 Z
1 0 0 0
1 1 0 0
1) Output floats in a high
impedance state.
2) Maintain the voltage of
the previous state.
1) Output generates an
unpredictable result.
2) Short-circuit: Pull-up and
pull-down conducting together.
Independently of the signal applied at the gate terminal.Pulse can be captured by a memory element (bit flip).
Nanotechnology Fault Analysis Simulation Tool (NFAS-tool)
REFERENCES
[1] ANGHEL L. and NICOLAIDIS, M. "Defects tolerant logic gates for unreliable future nanotechnologies."
In Computational and Ambient Intelligence, pp. 422-429. Springer Berlin Heidelberg, 2007.
[2] MESSENGER, “Collection of Charge on Junction Nodes from Ion Tracks”. IEEE Trans. of Nuclear Science,
1982.
NFAS-tool evaluates the behavior of combinational cells under faults.
JAVA programming language
NGSpice Electrical Simulator
Analysis in terms of:
Clock Frequency
Technology Nodes
Holding Time
LET (Linear Energy Transfer)
Fault propagation through a chain of inverters
Chain of Inverters
Response Analysis
FURG