2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)最新文献_第2页

Graph Evolution Using Oriented Incidence Matrices 面向关联矩阵的图演化

2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2022-06-08 DOI: 10.1109/mocast54814.2022.9837590

Cristian E. Onete, M. Onete

引用次数: 0

Accounting for Current Degradation Effects in the Compact Noise Modeling of Nano-scale MOSFETs 考虑纳米级mosfet紧凑噪声建模中的电流退化效应

2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2022-06-08 DOI: 10.1109/mocast54814.2022.9837755

A. Tataridou, C. Theodorou

引用次数: 0

An Efficient Analog Convolutional Neural Network Hardware Accelerator Enabled by a Novel Memoryless Architecture for Insect-Sized Robots 基于新型无记忆结构的高效模拟卷积神经网络硬件加速器

2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2022-06-08 DOI: 10.1109/mocast54814.2022.9837551

Iman Dadras, Mohammad Hasan Ahmadilivani, Saoni Banerji, J. Raik, Alvo Abloo

{"title":"An Efficient Analog Convolutional Neural Network Hardware Accelerator Enabled by a Novel Memoryless Architecture for Insect-Sized Robots","authors":"Iman Dadras, Mohammad Hasan Ahmadilivani, Saoni Banerji, J. Raik, Alvo Abloo","doi":"10.1109/mocast54814.2022.9837551","DOIUrl":"https://doi.org/10.1109/mocast54814.2022.9837551","url":null,"abstract":"For decades, miniaturization of robots has gained considerable attention due to the exciting applications of insect-sized robots, such as ambient monitoring. However, scaling down the robots’ dimensions reduces energy availability drastically for sensors and controllers. It has prohibited many successful technologies tested in larger-scale robots from application in insect-sized ones. As a result, insect-sized robots’ power and sensor/control autonomy is an open field of research. One of these technologies is Convolutional Neural Networks (CNN). This paper presents novelty in different levels of abstraction from architectural to transistor-level that drastically reduces the CNN power to comply with the low power budget of insect-sized robots. Analog computation is utilized for its compactness, and an architecture is devised to simplify the analog circuitry. Proposed convolutional filters, showing four orders of magnitude higher efficiency with respect to the state-of-the-art, consume merely 1.5 nW/image with 92% accuracy and promise application of CNN-based controllers in insect-sized robots.","PeriodicalId":122414,"journal":{"name":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"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":"130475807","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}

引用次数: 1

HMI for cooperative robot Kuka youBot based on Electromyography technique 基于肌电图技术的协作机器人Kuka youBot人机界面

2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2022-06-08 DOI: 10.1109/mocast54814.2022.9837721

Horatiu Roibu, Lidia-Cristina Bazavan, S. Cismaru, N. Bîzdoaca

{"title":"HMI for cooperative robot Kuka youBot based on Electromyography technique","authors":"Horatiu Roibu, Lidia-Cristina Bazavan, S. Cismaru, N. Bîzdoaca","doi":"10.1109/mocast54814.2022.9837721","DOIUrl":"https://doi.org/10.1109/mocast54814.2022.9837721","url":null,"abstract":"The ways in which humans and machines interact have changed as new technologies have been introduced into practice. At this moment, the trend is to simplify the interaction between man and machine, making the interfaces as intuitive and easy to use as possible. In this purpose, human-machine interfaces based on voice commands, gestures and even interfaces based on electrobiological signals generated by human body have been successfully developed. In this paper, the authors show the current stage, steps and experiments performed to develop a human-machine interface based on the electromyography technique. The proposed procedure involves the collection of electrical signals generated by muscles and their transformation into usable signals for the control of a robot by processing them. The interface was connected with the Kuka youBot two-arm cooperative robot and allowed control of its joints. Thus, the movement of the user’s arm, resulted by muscle contraction, is transposed into joints movement of the robotic arm. At the end of the paper are presented the conclusions of the experiments performed, the utility, but also the directions of future development for the proposed concept.","PeriodicalId":122414,"journal":{"name":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"142 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":"127617120","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}

引用次数: 2

THz Links Performance Study for Gamma Turbulence Links with Path Loss and Pointing Errors 考虑路径损失和指向误差的伽马湍流链路太赫兹链路性能研究

2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2022-06-08 DOI: 10.1109/mocast54814.2022.9837477

G. K. Varotsos, E. V. Chatzikontis, E. Kapotis, H. Nistazakis, K. Aidinis, V. Christofilakis

{"title":"THz Links Performance Study for Gamma Turbulence Links with Path Loss and Pointing Errors","authors":"G. K. Varotsos, E. V. Chatzikontis, E. Kapotis, H. Nistazakis, K. Aidinis, V. Christofilakis","doi":"10.1109/mocast54814.2022.9837477","DOIUrl":"https://doi.org/10.1109/mocast54814.2022.9837477","url":null,"abstract":"Over the last years the rapidly growing demands for higher wireless data transfer rates have recently motivated the research community to focus on the exploitation of higher frequency bands, such as the infrared (IR) frequency band and even more recently the terahertz (THz) frequency band (0.3-10 THz) which bridges the gap between millimeter wave (MMW) and IR frequency ranges. Nevertheless, the development of both free space optical (FSO) and THz communication links depends strongly on the randomly varying characteristics of their atmospheric channels along with the stochastic misalignment between transmitter and receiver terminals. Thus, in this work we first introduce Gamma distribution atmospheric turbulence (AT) model in the THz area. In this context, an outage performance comparison between a line of sight (LOS) THz link and a FSO link in terms of outage probability (OP) metric is provided for different AT and stochastic pointing error (PE) conditions. Additionally, the OP for the THz link due to free space path loss (FSPL) and atmospheric attenuation along with stochastic PEs is evaluated. Novel closed-form OP expressions are derived, while proper analytical results reveal and quantify the impact of the above factors. Simulation results are further included to validate our analytical results.","PeriodicalId":122414,"journal":{"name":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"4 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":"116692257","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}

引用次数: 3

Integrated open source air quality monitoring platform 集成的开源空气质量监测平台

2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2022-06-08 DOI: 10.1109/mocast54814.2022.9837555

I. Christakis, G. Hloupis, O. Tsakiridis, I. Stavrakas

{"title":"Integrated open source air quality monitoring platform","authors":"I. Christakis, G. Hloupis, O. Tsakiridis, I. Stavrakas","doi":"10.1109/mocast54814.2022.9837555","DOIUrl":"https://doi.org/10.1109/mocast54814.2022.9837555","url":null,"abstract":"In recent years, great importance has been paid to air quality monitoring, exhibiting a rapid development both in industrialization as well as in the transportation segment, especially in the cities and the urban area. Installation and maintenance of commercial air quality monitoring instruments are overpriced, thus making such existing air quality monitoring networks scarce, despite the significant growth in the usage of low-cost sensor technology for the monitoring of air pollution. The aim is to encourage citizens to actively contribute in such actions as monitoring air quality in the place where they live and work. Open source software seems the better way for the implementation of the low-cost constructions as it enables direct access and software customization according to implementation needs, and encourages participatory engagement between people with common concerns and common goals and actions such as air quality in their area. This work presents the implementation of an integrated open source air quality monitoring platform which includes low-cost air quality stations and an application server for the data visualization. The parts of the low cost station are the cpu wemos@arduino as well as gas [nitrogen dioxide (NO2) and ozone ((O3)] and particle sensors (PM2.5). The low-cost sensors present an affordable solution which covers real-time and high spatial resolution for air quality measurements with best effort performance.","PeriodicalId":122414,"journal":{"name":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"35 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":"125145124","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}

引用次数: 3

Near Data Processing Performance Improvement Prediction via Metric-Based Workload Classification 基于度量的工作负载分类的近数据处理性能改进预测

2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2022-06-08 DOI: 10.1109/mocast54814.2022.9837704

Dimitrios Papalekas, A. Tziouvaras, G. Floros, Georgios Dimitriou, Michael F. Dossis, G. Stamoulis

{"title":"Near Data Processing Performance Improvement Prediction via Metric-Based Workload Classification","authors":"Dimitrios Papalekas, A. Tziouvaras, G. Floros, Georgios Dimitriou, Michael F. Dossis, G. Stamoulis","doi":"10.1109/mocast54814.2022.9837704","DOIUrl":"https://doi.org/10.1109/mocast54814.2022.9837704","url":null,"abstract":"Contrary to the improvement of CPU capabilities, traditional DRAM evolution faced significant challenges that render it the main performance bottleneck in contemporary systems. Data-Intensive applications such as Machine Learning and Graph Processing algorithms depend on time and energy consuming transactions between the memory bus and the CPU caches. The emergence of 3D-Stacked memories that provide a very high bandwidth led to the exploration of the Process-In-Memory (PIM) paradigm where logic is added to the memory die and data are being processed where they reside. To fully exploit this model, there is a need to methodically determine the portions of code that are better fitted for Near-Data-Processing (NDP). To this extend, in this work, after presenting the key trends of the research field and examine proposed criteria, we simplify the process of a priori decision of a block’s suitability by proposing a two-step metric-based application categorization able to predict the applications behavior when offloaded for NDP.","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":"131176225","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}

引用次数: 1

Acoustic method for leak size estimation in fluid-carrying pipelines 流体输送管道泄漏尺寸估计的声学方法

2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2022-06-08 DOI: 10.1109/mocast54814.2022.9837751

Georgios-Panagiotis Kousiopoulos, S. Nikolaidis

{"title":"Acoustic method for leak size estimation in fluid-carrying pipelines","authors":"Georgios-Panagiotis Kousiopoulos, S. Nikolaidis","doi":"10.1109/mocast54814.2022.9837751","DOIUrl":"https://doi.org/10.1109/mocast54814.2022.9837751","url":null,"abstract":"Pipeline networks are frequently used in a vast number of applications and their secure and undisturbed operation is very important. However, leaks can occur at any time and cause serious problems. For this reason, extensive research has been conducted over the years on the development of effective leak detection and localization methods. On the other hand, very few papers concerning the estimation of the leak size in a pipeline have been published in the literature. This was a main incentive for the development of the leak size estimation method proposed in the present paper. This non-intrusive method uses the acoustic signals produced in the leak point and propagating in the pipeline and it relies on the energy of the signals, which is reflected in the RMS value, and also on proper filtering. Specifically, by the help of some initial measurements, certain position-dependent threshold values are extracted which separate the different leak categories. This way, by the RMS value of a certain acoustic signal, the corresponding leak can be classified into one of the available categories, which differ from each other on the range of the included leak orifice diameters. The proposed method was tested experimentally in a laboratory setup, which contains a water-filled steel pipeline, and its success rate was examined under different ambient noise conditions.","PeriodicalId":122414,"journal":{"name":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"108 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":"132942607","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}

引用次数: 0

Music Deep Learning: A Survey on Deep Learning Methods for Music Processing 音乐深度学习:音乐处理的深度学习方法综述

2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2022-06-08 DOI: 10.1109/mocast54814.2022.9837541

L. Iliadis, S. Sotiroudis, K. Kokkinidis, P. Sarigiannidis, S. Nikolaidis, S. Goudos

引用次数: 2

Compact Ground Bounce Sensors for SoC Energy Harvesting Applications 用于SoC能量收集应用的紧凑型地面反弹传感器

2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2022-06-08 DOI: 10.1109/mocast54814.2022.9837552

K. Moustakas, T. Noulis, S. Siskos

引用次数: 0