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2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)最新文献

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Integration of Massive MIMO and Machine Learning in the Present and Future of Power Consumption in Wireless Networks: A Review 大规模MIMO和机器学习在无线网络功耗的现在和未来中的集成:综述
2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI: 10.1109/RTSI55261.2022.9905123
Sampson E. Nwachukwu, Maurine Chepkoech, A. Lysko, K. Awodele, Joyce B. Mwangama, Chris R. Burger
{"title":"Integration of Massive MIMO and Machine Learning in the Present and Future of Power Consumption in Wireless Networks: A Review","authors":"Sampson E. Nwachukwu, Maurine Chepkoech, A. Lysko, K. Awodele, Joyce B. Mwangama, Chris R. Burger","doi":"10.1109/RTSI55261.2022.9905123","DOIUrl":"https://doi.org/10.1109/RTSI55261.2022.9905123","url":null,"abstract":"The steady increase in data traffic rates and systems’ complexity have contributed to the information and communication technologies (ICT) sector’s increased energy consumption and CO2 emissions. These pose a significant challenge to the telecommunication industry and the environment. This challenge has necessitated considering energy efficiency as a critical design pillar in 5G and future wireless networks. As a result, current research efforts for future wireless networks focus on minimising energy usage and improving efficiency. This work investigates several energy optimisation techniques in the present and future wireless networks, their contributions, advantages, and limitations. Based on the review of different techniques, we discuss the architecture of the massive MIMO (mMIMO) technique, including its operation and requirements. We also present the performance evaluation of mMIMO using different precoding algorithms, which is crucial for energy efficiency in future wireless networks. We further review incorporating intelligence using a Machine Learning (ML) approach in switching off underused mMIMO arrays to minimise energy usage. Finally, we discuss several critical open research issues in mMIMO and ML that make future research and implementation possible in next-generation wireless networks.","PeriodicalId":261718,"journal":{"name":"2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127454266","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
BrainTrack: A Replicable and Accessible Methodology for Customized Brain-Machine Interface Applications BrainTrack:一种可复制和可访问的定制脑机接口应用方法
2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI: 10.1109/RTSI55261.2022.9905223
Emma Crespi, D. Cerioli, Alice Gentili, F. Carloni, M. Santambrogio
{"title":"BrainTrack: A Replicable and Accessible Methodology for Customized Brain-Machine Interface Applications","authors":"Emma Crespi, D. Cerioli, Alice Gentili, F. Carloni, M. Santambrogio","doi":"10.1109/RTSI55261.2022.9905223","DOIUrl":"https://doi.org/10.1109/RTSI55261.2022.9905223","url":null,"abstract":"This paper aims to show how a low-cost Brain-Computer Interface (BCI) device can effectively and accurately collect brain signals to control a simple machine or toy, using a versatile methodology that can adapt to different use cases. We used the EMOTIV Insight headset in conjunction with EMOTIV’s software tools to interpret brain activity and an Arduino microcontroller to handle interfacing between the computer and the controlled device. This study evaluates the feasibility of moving a car on a slot car track using the focus levels of the user as a reference. Comparing the concentration levels achieved while completing a logic-based puzzle with those reached when focusing on the car suggests the viability of this approach for the task since users can effectively and consciously control their attention level. This approach offers flexibility to adapt a wide range of appliances or toys without reliance on the manufacturer to provide accessibility, offering to people with severe physical disabilities new opportunities to interact with the world. The proposed methodology allows to conduct testing inexpensively and effectively, helping discern the best approach for a customized product before manufacturing it.","PeriodicalId":261718,"journal":{"name":"2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126955271","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
Sub-nJ per Decision Schmitt Trigger Comparator for Neuromorphic Spike Detection in 55 nm Technology 55纳米技术中神经形态尖峰检测的Sub-nJ / Decision Schmitt触发比较器
2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI: 10.1109/RTSI55261.2022.9905228
João F. Sulzbach, Siqi Wang, Zalfa Jouni, A. Benlarbi-Delai, G. Klisnick, Pietro M. Ferreira
{"title":"Sub-nJ per Decision Schmitt Trigger Comparator for Neuromorphic Spike Detection in 55 nm Technology","authors":"João F. Sulzbach, Siqi Wang, Zalfa Jouni, A. Benlarbi-Delai, G. Klisnick, Pietro M. Ferreira","doi":"10.1109/RTSI55261.2022.9905228","DOIUrl":"https://doi.org/10.1109/RTSI55261.2022.9905228","url":null,"abstract":"Neuromorphic circuits are known for their promising ultra-low power AI applications in IoT field. However, sub-100 mV supply voltages hamper digital-enable devices due to their non-discrete and highly non-linear response. In this paper, a low-power Smith trigger comparator is proposed to interface spiking analog eNeurons and digital circuits. To this end, a subthreshold bias and BiCMOS 55 nm node technology are chosen. The proposed comparator is post-layout validated, having a maximum decision frequency of 400 kHz and an energy efficiency of 747 aJ/spike. This performance is compatible with existing artificial neurons.","PeriodicalId":261718,"journal":{"name":"2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129607553","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
Machine Learning Approach for SPR based Photonic Crystal Fiber Sensor for Breast Cancer Cells Detection 基于SPR的光子晶体光纤传感器用于乳腺癌细胞检测的机器学习方法
2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI: 10.1109/RTSI55261.2022.9905187
Pankaj Verma, Ajay Kumar, P. Jindal
{"title":"Machine Learning Approach for SPR based Photonic Crystal Fiber Sensor for Breast Cancer Cells Detection","authors":"Pankaj Verma, Ajay Kumar, P. Jindal","doi":"10.1109/RTSI55261.2022.9905187","DOIUrl":"https://doi.org/10.1109/RTSI55261.2022.9905187","url":null,"abstract":"This article presents a highly sensitive gold/TiO2 coated photonic crystal fiber (PCF) biosensor for sensing the breast cancer cells. The surface plasmon resonance (SPR) mechanism is achieved by coating the hybrid gold/TiO2 layer over the PCF. The simulation and numerical analysis are done by the finite element method. The normal and malignant cells are detected by measuring the resonance wavelength shift which helps to estimate the wavelength sensitivity and resolution. In results, the maximum wavelength sensitivity in x-polarization mode is achieved as 11,034 nm/RIU for breast cancer MCF-7 cells and 9,285 nm/RIU in y-polarization mode with very low resolution in the range of $10^{-6}$RIU. In addition, the impact of the presence of metallic thin film, air holes pitch and RI of the analytes is observed and optimized through supervised machine learning approach with low mean square error (mse). With enhanced sensing performance of the proposed sensor, it can be used as fast, efficient and low-cost cancer and other blood related disease detection device.","PeriodicalId":261718,"journal":{"name":"2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114891816","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: 4
Detecting Replay Attack on Voice-Controlled Systems using Small Neural Networks 利用小型神经网络检测语音控制系统的重放攻击
2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI: 10.1109/RTSI55261.2022.9905158
Nadeen Ahmed, Jowaria Khan, Nouran Sheta, Rahma Tarek, I. Zualkernan, F. Aloul
{"title":"Detecting Replay Attack on Voice-Controlled Systems using Small Neural Networks","authors":"Nadeen Ahmed, Jowaria Khan, Nouran Sheta, Rahma Tarek, I. Zualkernan, F. Aloul","doi":"10.1109/RTSI55261.2022.9905158","DOIUrl":"https://doi.org/10.1109/RTSI55261.2022.9905158","url":null,"abstract":"Voice-control is becoming a common interface for many consumer IoT systems. Common threats to such systems include impersonation, replay, speech synthesis, and voice conversion attacks. Of these attacks, replay is the easiest to implement where a command is recorded and replayed. This paper explores the development of a lightweight intrusion detection neural network based on a recent command voice replay dataset. A lightweight model based on 1D Convolutional Neural Networks (CNN), and Long Short-Term Memory (LSTM) was proposed. The trained model was compared with baseline models based on Gaussian Mixture Models (GMM) using Constant Q Cepstral Coefficients (CQCC) and Mel-Frequency Cepstral Coefficient (MFCC). The proposed model outperformed the GMM models, and its size was significantly lower making it more feasible for embedded systems implementation.","PeriodicalId":261718,"journal":{"name":"2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116428496","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
High Speed Comparator and Parity generator in QCA based on optimal XOR structure 基于最优异或结构的QCA高速比较器和奇偶发生器
2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI: 10.1109/RTSI55261.2022.9905214
T. Sasamal, Gaurav Saini, Vineet Jaiswal
{"title":"High Speed Comparator and Parity generator in QCA based on optimal XOR structure","authors":"T. Sasamal, Gaurav Saini, Vineet Jaiswal","doi":"10.1109/RTSI55261.2022.9905214","DOIUrl":"https://doi.org/10.1109/RTSI55261.2022.9905214","url":null,"abstract":"Quantum-dot Cellular Automata (QCA) is emerging as one of the nano-computing technologies that enables significant advantages which are not accessible by current CMOS technology, such as operating frequency (THz), high device density, and ultra low power dissipation. In this work, a low complexity and ultra-high speed QCA comparator and even parity generator is presented employing an optimal XOR gate. The optimal XOR gate is based on cell interaction and non-majority based, which needs fewer cells compared to AND-OR-INVERTER based XOR gates. The proposed comparator requires single layer for its QCA implementation and achieves considerable improvements as compared to prior designs in terms of design metrics like complexity, latency and area usage. To explore the efficacy of non-majority gate based XOR gate, even parity generators of varying lengths 4, 8, 16, and 32bits are also implemented. The proposed designs have superior performance in terms of area, complexity and latency in comparison to existing QCA-based XOR structures. All the proposed designs are implemented, simulated and functionally verified by QCADesigner tool.","PeriodicalId":261718,"journal":{"name":"2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126112457","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
Decentralized platforms: Goals, challenges, and solutions 去中心化平台:目标、挑战和解决方案
2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI: 10.1109/RTSI55261.2022.9905225
S. Grybniak, Yevhen Leonchyk, Ruslan Masalskyi, Igor Mazurok, Oleksandr Nashyvan, Ruslan Shanin
{"title":"Decentralized platforms: Goals, challenges, and solutions","authors":"S. Grybniak, Yevhen Leonchyk, Ruslan Masalskyi, Igor Mazurok, Oleksandr Nashyvan, Ruslan Shanin","doi":"10.1109/RTSI55261.2022.9905225","DOIUrl":"https://doi.org/10.1109/RTSI55261.2022.9905225","url":null,"abstract":"Today there is a trend to deploy both commercial and social applications and services on decentralized platforms. This corresponds to the demands of modern society for openness and transparency of information, freedom of access, and equal rights of participants. However, the more sophisticated architecture of decentralized platforms poses new challenges to the developers of such systems. This paper discusses the goals, tasks, and problems that arise during the transition from traditional (centralized) technologies to decentralized ones, and some potential ways to solve them.","PeriodicalId":261718,"journal":{"name":"2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115125236","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
A novel fixed-point leaky sign regressor algorithm based adaptive noise canceller for PLI cancellation in ECG signals 一种新的基于不动点漏符号回归算法的自适应消噪方法用于心电信号的PLI消噪
2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI: 10.1109/RTSI55261.2022.9905081
Mohammed Mujahid Ulla Faiz, I. Kale
{"title":"A novel fixed-point leaky sign regressor algorithm based adaptive noise canceller for PLI cancellation in ECG signals","authors":"Mohammed Mujahid Ulla Faiz, I. Kale","doi":"10.1109/RTSI55261.2022.9905081","DOIUrl":"https://doi.org/10.1109/RTSI55261.2022.9905081","url":null,"abstract":"In this paper, a novel fixed-point Leaky Sign Regressor Algorithm (LSRA) based adaptive noise canceller has been employed for the cancellation of 60 Hz Power Line Interference (PLI) from the ElectroCardioGram (ECG) signal. A sufficient condition for the convergence in the mean of the LSRA algorithm is also derived. The fixed-point LSRA-based adaptive noise canceller employed in this work is fully quantized using an in-house quantize function. The most effective number of quantization bits required for the various parameters are found to be 6-bits and are determined through rigorous simulations. The filtered ECG signal free from 60 Hz PLI is successfully recovered using a novel 6-bit fixed-point LSRA-based adaptive noise canceller.","PeriodicalId":261718,"journal":{"name":"2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)","volume":"21 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120985885","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
Impact Estimation of Emergency Events Using Social Media Streams 使用社交媒体流进行紧急事件影响评估
2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI: 10.1109/RTSI55261.2022.9905213
Giacomo Blanco, Edoardo Arnaudo, Dario Salza, C. Rossi
{"title":"Impact Estimation of Emergency Events Using Social Media Streams","authors":"Giacomo Blanco, Edoardo Arnaudo, Dario Salza, C. Rossi","doi":"10.1109/RTSI55261.2022.9905213","DOIUrl":"https://doi.org/10.1109/RTSI55261.2022.9905213","url":null,"abstract":"In recent years, Social Media platforms have attracted millions of users, becoming a primary communication channel. They offer the possibility to massively ingest and instantly share big volumes of user-generated content before, during, and after emergency events. Being able to accurately quantity the impact of such hazardous events could greatly help all organizations involved in the emergency management cycle to adequately plan the required recovery operations. In this work, we propose a novel Natural Language Processing approach built on rule-based algorithms able to estimate, from tweets posted during natural hazards, the impact of emergency events in terms of affected population and infrastructures. We implement our approach in an operational environment and present its validation on a publicly released dataset of more than 1.4K manually annotated tweets, showing an overall weighted F1 score of 0.77.","PeriodicalId":261718,"journal":{"name":"2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133779585","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
Quantifying the Impact of Different Parameters on Optimal Operation of Multi-Microgrid Systems 量化不同参数对多微网系统优化运行的影响
2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI: 10.1109/RTSI55261.2022.9905218
M. Javidsharifi, Hamoun Pourroshanfekr Arabani, T. Kerekes, D. Sera, J. Guerrero
{"title":"Quantifying the Impact of Different Parameters on Optimal Operation of Multi-Microgrid Systems","authors":"M. Javidsharifi, Hamoun Pourroshanfekr Arabani, T. Kerekes, D. Sera, J. Guerrero","doi":"10.1109/RTSI55261.2022.9905218","DOIUrl":"https://doi.org/10.1109/RTSI55261.2022.9905218","url":null,"abstract":"The multi-objective optimal power management of multi-microgrid systems is solved in this paper. Minimizing the total cost and emission of the system are considered as the objective functions. The multi-objective particle swarm optimization algorithm is applied on a multi-microgrid system that consists of four microgrids each includes diesel generators, wind turbines, photovoltaic units, battery, and local loads. The multi-microgrid system can exchange power with the electricity grid. Moreover, the adjacent microgrids in the multi-microgrid system can share power with each other. The impact of the variation of battery charging and discharging efficiency, the electricity price, the capacity of diesel generators and renewable-based units, the maximum exchangeable power between the multi-microgrid system and the electricity grid and the power sharing among adjacent microgrids on day-ahead units’ scheduling of multi-microgrid are evaluated through sensitivity analysis in simulation results.","PeriodicalId":261718,"journal":{"name":"2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128329756","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
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