Pub Date : 2022-06-08DOI: 10.1109/mocast54814.2022.9837760
Kyriakos Koritsoglou, Maria S. Papadopoulou, A. Boursianis, P. Sarigiannidis, S. Nikolaidis, S. Goudos
In developed countries, companies active in the food retail sector consume about 20% of the total power required for cooling and are therefore ranked among them with the largest energy footprint after the industries. For this reason, refrigeration equipment manufacturers are increasingly focusing on methods that will reduce the power consumption required for its efficient operation. The solutions that are currently implemented mainly focus on interventions in the development phase of freezer units (better insulation, variable frequency compressors, etc.), which, however, do not adequately address the problem. This paper presents the development of an IoT-based technology device which, using machine learning techniques, aims to reduce the power consumption of refrigeration equipment and consecutively, the energy footprint of food retailers.
{"title":"Smart Refrigeration Equipment based on IoT Technology for Reducing Power Consumption","authors":"Kyriakos Koritsoglou, Maria S. Papadopoulou, A. Boursianis, P. Sarigiannidis, S. Nikolaidis, S. Goudos","doi":"10.1109/mocast54814.2022.9837760","DOIUrl":"https://doi.org/10.1109/mocast54814.2022.9837760","url":null,"abstract":"In developed countries, companies active in the food retail sector consume about 20% of the total power required for cooling and are therefore ranked among them with the largest energy footprint after the industries. For this reason, refrigeration equipment manufacturers are increasingly focusing on methods that will reduce the power consumption required for its efficient operation. The solutions that are currently implemented mainly focus on interventions in the development phase of freezer units (better insulation, variable frequency compressors, etc.), which, however, do not adequately address the problem. This paper presents the development of an IoT-based technology device which, using machine learning techniques, aims to reduce the power consumption of refrigeration equipment and consecutively, the energy footprint of food retailers.","PeriodicalId":122414,"journal":{"name":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125008657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-08DOI: 10.1109/mocast54814.2022.9837681
Gian Luca Barbruni, P. Ros, D. Demarchi, S. Carrara, D. Ghezzi
This work shows an ultra-miniaturised and ultralow-power CMOS current driver for biphasic intracortical microstimulation. The CMOS driver is composed of a leakage-based voltage-to-current converter and an H-bridge circuit providing biphasic charge-balanced current stimulation. The circuit has been simulated, fabricated and tested. The current driver consumes 1.87 µW with a supply voltage of 1.8 V, and it occupies a silicon area of 15×12.4 µm2. The driver works in linearity in the current range between 23−92 µA.
{"title":"Ultra-Miniaturised CMOS Current Driver for Wireless Biphasic Intracortical Microstimulation","authors":"Gian Luca Barbruni, P. Ros, D. Demarchi, S. Carrara, D. Ghezzi","doi":"10.1109/mocast54814.2022.9837681","DOIUrl":"https://doi.org/10.1109/mocast54814.2022.9837681","url":null,"abstract":"This work shows an ultra-miniaturised and ultralow-power CMOS current driver for biphasic intracortical microstimulation. The CMOS driver is composed of a leakage-based voltage-to-current converter and an H-bridge circuit providing biphasic charge-balanced current stimulation. The circuit has been simulated, fabricated and tested. The current driver consumes 1.87 µW with a supply voltage of 1.8 V, and it occupies a silicon area of 15×12.4 µm2. The driver works in linearity in the current range between 23−92 µA.","PeriodicalId":122414,"journal":{"name":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130889625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-08DOI: 10.1109/mocast54814.2022.9837761
Ioannis Oroutzoglou, Argyris Kokkinis, Aggelos Ferikoglou, Dimitrios Danopoulos, Dimosthenis Masouros, K. Siozios
Over the last few years, computational power and intelligence are becoming more and more necessary in the sector of finance. More specifically, computational finance turns into a very popular topic for both academia and industry, where numerous published works from this field and especially investment and risk management, showcase the effects of these technological advancements. At the same time, the ever-increased computational demands have led to the deployment of various accelerators in order to meet both latency and power constraints for financial applications that vary from special purpose, made by economists, to general purpose Digital Signal Processing (DSP) applied in financial time-series. One of the most widely used applications, belonging to the 2nd category, is the Savitzky-Golay algorithm, a filter used for smoothing time-series data. In this work, we propose a mechanism that automatically creates different accelerated Savitzky-Golay filters for GPUs and FPGAs, based on a set of pre-accelerated templates. By evaluating the provided templates with a set of real use-case parameters, a speedup of x33.5 on the NVIDIA T4 GPU and x21.9 on the Alveo U50 FPGA is achieved compared with an Intel Xeon Gold 5218R CPU as a baseline, while achieving a decrease in power consumption of 89% and 70% respectively, disclosing a real latency-power trade-of between both accelerators.
{"title":"Optimizing Savitzky-Golay Filter on GPU and FPGA Accelerators for Financial Applications","authors":"Ioannis Oroutzoglou, Argyris Kokkinis, Aggelos Ferikoglou, Dimitrios Danopoulos, Dimosthenis Masouros, K. Siozios","doi":"10.1109/mocast54814.2022.9837761","DOIUrl":"https://doi.org/10.1109/mocast54814.2022.9837761","url":null,"abstract":"Over the last few years, computational power and intelligence are becoming more and more necessary in the sector of finance. More specifically, computational finance turns into a very popular topic for both academia and industry, where numerous published works from this field and especially investment and risk management, showcase the effects of these technological advancements. At the same time, the ever-increased computational demands have led to the deployment of various accelerators in order to meet both latency and power constraints for financial applications that vary from special purpose, made by economists, to general purpose Digital Signal Processing (DSP) applied in financial time-series. One of the most widely used applications, belonging to the 2nd category, is the Savitzky-Golay algorithm, a filter used for smoothing time-series data. In this work, we propose a mechanism that automatically creates different accelerated Savitzky-Golay filters for GPUs and FPGAs, based on a set of pre-accelerated templates. By evaluating the provided templates with a set of real use-case parameters, a speedup of x33.5 on the NVIDIA T4 GPU and x21.9 on the Alveo U50 FPGA is achieved compared with an Intel Xeon Gold 5218R CPU as a baseline, while achieving a decrease in power consumption of 89% and 70% respectively, disclosing a real latency-power trade-of between both accelerators.","PeriodicalId":122414,"journal":{"name":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"332 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116359524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-08DOI: 10.1109/mocast54814.2022.9837570
A. Rjoub, Majed Alkhateeb
This paper presents an innovative and low-cost water quality and quantity monitoring system in real-time applications. The proposed application consists of various sensors used to measure water quality parameters. These parameters such as pH, Total Dissolved Solids (TDS), Ammonium (NH4), Sodium (Na), and Chloride (CL). The Arduino Mega is used as the micro-controller and Wi-Fi model to transfer the data from and to the database uploaded into the cloud. Water Level Sensor, Water Flow sensor, and Water Solenoid Valve are used to control water quantity. Liquid Crystal Display (LCD) and Keypad input and display the data. Finally, a web browser displays and manages all data uploaded into the cloud from anywhere. The proposed system can be a part of a smart city and intelligent building.
{"title":"ICT Smart Water Management System for Real-Time Applications","authors":"A. Rjoub, Majed Alkhateeb","doi":"10.1109/mocast54814.2022.9837570","DOIUrl":"https://doi.org/10.1109/mocast54814.2022.9837570","url":null,"abstract":"This paper presents an innovative and low-cost water quality and quantity monitoring system in real-time applications. The proposed application consists of various sensors used to measure water quality parameters. These parameters such as pH, Total Dissolved Solids (TDS), Ammonium (NH4), Sodium (Na), and Chloride (CL). The Arduino Mega is used as the micro-controller and Wi-Fi model to transfer the data from and to the database uploaded into the cloud. Water Level Sensor, Water Flow sensor, and Water Solenoid Valve are used to control water quantity. Liquid Crystal Display (LCD) and Keypad input and display the data. Finally, a web browser displays and manages all data uploaded into the cloud from anywhere. The proposed system can be a part of a smart city and intelligent building.","PeriodicalId":122414,"journal":{"name":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116684795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-08DOI: 10.1109/mocast54814.2022.9837783
A. Kenyon, A. Mehonic, W. H. Ng, Longfei Zhao, Horatio R. J. Cox, M. Buckwell, K. Patel, A. Knights, D. Mannion, A. Shluger
Filamentary resistance switching, or ReRAM, devices based on oxides suffer from device-do-device and cycle-to-cycle variability of electrical characteristics (electroforming voltages, set and reset voltages, resistance levels and cycling endurance). These are largely materials issues related to the microstructure of the switching oxide. Here we outline strategies to engineer the electrical performance of silicon oxide ReRAM by controlling the oxide microstructure at the nanometre scale through approaches including engineered interfaces and ion implantation. We demonstrate control over the distribution of switching voltages, electroforming voltages, and stable multilevel resistance states.
{"title":"Defining the performance of SiOx ReRAM by engineering oxide microstructure","authors":"A. Kenyon, A. Mehonic, W. H. Ng, Longfei Zhao, Horatio R. J. Cox, M. Buckwell, K. Patel, A. Knights, D. Mannion, A. Shluger","doi":"10.1109/mocast54814.2022.9837783","DOIUrl":"https://doi.org/10.1109/mocast54814.2022.9837783","url":null,"abstract":"Filamentary resistance switching, or ReRAM, devices based on oxides suffer from device-do-device and cycle-to-cycle variability of electrical characteristics (electroforming voltages, set and reset voltages, resistance levels and cycling endurance). These are largely materials issues related to the microstructure of the switching oxide. Here we outline strategies to engineer the electrical performance of silicon oxide ReRAM by controlling the oxide microstructure at the nanometre scale through approaches including engineered interfaces and ion implantation. We demonstrate control over the distribution of switching voltages, electroforming voltages, and stable multilevel resistance states.","PeriodicalId":122414,"journal":{"name":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114472635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-08DOI: 10.1109/mocast54814.2022.9837566
A. Polo, P. Rocca, M. Salucci, Andrea Massa
This paper introduces "SHARON", an innovative decision support system (DSS) that exploits wireless communication and localization technologies for the analysis and the planning of Search-And-Rescue (SAR) missions in mountain or rural environments.
{"title":"Exploiting Wireless Localization for Decision Support in Search-And-Rescue Operations","authors":"A. Polo, P. Rocca, M. Salucci, Andrea Massa","doi":"10.1109/mocast54814.2022.9837566","DOIUrl":"https://doi.org/10.1109/mocast54814.2022.9837566","url":null,"abstract":"This paper introduces \"SHARON\", an innovative decision support system (DSS) that exploits wireless communication and localization technologies for the analysis and the planning of Search-And-Rescue (SAR) missions in mountain or rural environments.","PeriodicalId":122414,"journal":{"name":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128596194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-08DOI: 10.1109/mocast54814.2022.9837538
L. Moysis, D. Butusov, A. Tutueva, V. Ostrovskii, Ioannis S. Kafetzis, C. Volos
During the fall semester of 2021-2022 academic year, a seminar series on ’Chaotic Cryptography’ was delivered at the Department of Computer Aided Design (CAD), St. Petersburg Electrotechnical University ’LETI’, Russia. The seminar aimed at introducing students to state of the art research topics that connect chaos theory to various applications relating to encryption and security. This work constitutes a case report on this seminar. First, the seminar syllabus is presented. Then, future goals are discussed for annual reruns of the seminar.
{"title":"Introducing Chaos and Chaos Based Encryption Applications to University Students - Case Report of a Seminar","authors":"L. Moysis, D. Butusov, A. Tutueva, V. Ostrovskii, Ioannis S. Kafetzis, C. Volos","doi":"10.1109/mocast54814.2022.9837538","DOIUrl":"https://doi.org/10.1109/mocast54814.2022.9837538","url":null,"abstract":"During the fall semester of 2021-2022 academic year, a seminar series on ’Chaotic Cryptography’ was delivered at the Department of Computer Aided Design (CAD), St. Petersburg Electrotechnical University ’LETI’, Russia. The seminar aimed at introducing students to state of the art research topics that connect chaos theory to various applications relating to encryption and security. This work constitutes a case report on this seminar. First, the seminar syllabus is presented. Then, future goals are discussed for annual reruns of the seminar.","PeriodicalId":122414,"journal":{"name":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134140081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-08DOI: 10.1109/mocast54814.2022.9837716
A. Najafi, Ardalan Najafi, Yarib Nevarez, A. García-Ortiz
Interconnect is a crucial challenge to achieve overall chip performance in current and future technology nodes. An accurate, universal, and portable delay model is essential for interconnects’ analysis and coding development. Machine learning algorithms are used in many applications and provide solutions for problems that are difficult to achieve using conventional approaches. Using machine learning techniques for delay estimation can be helpful since they can capture the complex behavior of the propagation of the signals. This paper proposes a neural-network learning-based delay model for parallel multi-segment interconnects using a conventional multi-layer perceptron network. For the network to learn the complex signals’ misalignment effect, we propose a framework to transform initial delay data into a learnable set of numbers. This transformation process is critical to have an accurate delay estimation. The proposed model has been validated using commercial 65 nm technology. The results show significant improvement in accuracy compared with previous models.
{"title":"Learning-Based On-Chip Parallel Interconnect Delay Estimation","authors":"A. Najafi, Ardalan Najafi, Yarib Nevarez, A. García-Ortiz","doi":"10.1109/mocast54814.2022.9837716","DOIUrl":"https://doi.org/10.1109/mocast54814.2022.9837716","url":null,"abstract":"Interconnect is a crucial challenge to achieve overall chip performance in current and future technology nodes. An accurate, universal, and portable delay model is essential for interconnects’ analysis and coding development. Machine learning algorithms are used in many applications and provide solutions for problems that are difficult to achieve using conventional approaches. Using machine learning techniques for delay estimation can be helpful since they can capture the complex behavior of the propagation of the signals. This paper proposes a neural-network learning-based delay model for parallel multi-segment interconnects using a conventional multi-layer perceptron network. For the network to learn the complex signals’ misalignment effect, we propose a framework to transform initial delay data into a learnable set of numbers. This transformation process is critical to have an accurate delay estimation. The proposed model has been validated using commercial 65 nm technology. The results show significant improvement in accuracy compared with previous models.","PeriodicalId":122414,"journal":{"name":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134098827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-08DOI: 10.1109/mocast54814.2022.9837578
A. Farzin, H. Moradi
To decrease and dampen the vibrations of the seated human bodies in a variety of settings like automobiles and public transportation, control theories and advanced controller design techniques are demanded. In this paper, we approach to design an active multivariable controller for a seated human body model, and results are derived and simulated via MATLAB. After examining the pros and cons of the previous models and strategies for the human body model, it has been decided to design an active controller based on pole placement analysis. This controller is designed for a lumped mass model of the human body with 4 degrees of freedom (4DOF) and with respect to the road excitations’ presence. In the suggested multivariable control strategy, the vertical movements of the four parts of the body are controlled via manipulation of an input force in the vertical direction that is presumed to be applied by a piezoelectric actuator. The dynamic behavior of the system around its natural frequencies is measured and the usefulness of the actuators is investigated.
{"title":"Design and simulation of an active controller to reduce undesirable vertical vibrations in the 4DOF model of the seated human body in the vehicle","authors":"A. Farzin, H. Moradi","doi":"10.1109/mocast54814.2022.9837578","DOIUrl":"https://doi.org/10.1109/mocast54814.2022.9837578","url":null,"abstract":"To decrease and dampen the vibrations of the seated human bodies in a variety of settings like automobiles and public transportation, control theories and advanced controller design techniques are demanded. In this paper, we approach to design an active multivariable controller for a seated human body model, and results are derived and simulated via MATLAB. After examining the pros and cons of the previous models and strategies for the human body model, it has been decided to design an active controller based on pole placement analysis. This controller is designed for a lumped mass model of the human body with 4 degrees of freedom (4DOF) and with respect to the road excitations’ presence. In the suggested multivariable control strategy, the vertical movements of the four parts of the body are controlled via manipulation of an input force in the vertical direction that is presumed to be applied by a piezoelectric actuator. The dynamic behavior of the system around its natural frequencies is measured and the usefulness of the actuators is investigated.","PeriodicalId":122414,"journal":{"name":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133504563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-08DOI: 10.1109/mocast54814.2022.9837522
{"title":"MOCAST 2022 Cover Page","authors":"","doi":"10.1109/mocast54814.2022.9837522","DOIUrl":"https://doi.org/10.1109/mocast54814.2022.9837522","url":null,"abstract":"","PeriodicalId":122414,"journal":{"name":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"9 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127448776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：