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2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)最新文献

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Good-Eye: A Device for Automatic Prediction and Detection of Elderly Falls in Smart Homes Good-Eye:智能家居中老年人跌倒的自动预测和检测装置
2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS) Pub Date : 2020-12-01 DOI: 10.1109/iSES50453.2020.00051
Laavanya Rachakonda, S. Mohanty, E. Kougianos
{"title":"Good-Eye: A Device for Automatic Prediction and Detection of Elderly Falls in Smart Homes","authors":"Laavanya Rachakonda, S. Mohanty, E. Kougianos","doi":"10.1109/iSES50453.2020.00051","DOIUrl":"https://doi.org/10.1109/iSES50453.2020.00051","url":null,"abstract":"This is an extended abstract for a Research Demo Session based on our published work [1]. It is important to be able to reduce the frequency of elderly falls and their disastrous effects. Good-Eye proposes an edge device which predicts or detects falls based on image orientation and physiological sensors using the Internet-of-Medical-Things (IoMT). Using LED lights, the user is notified with the decision of fall prediction and detection if the observed change is greater than a set threshold. Along with a camera attached to the wearable, the Good-Eye system proposes a remote off-line on-wall camera to make more accurate prediction and detection of falls.","PeriodicalId":246188,"journal":{"name":"2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123453030","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: 5
Tandem Deep Learning Side-Channel Attack Against FPGA Implementation of AES 针对FPGA实现AES的串联深度学习侧信道攻击
2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS) Pub Date : 2020-12-01 DOI: 10.1109/iSES50453.2020.00041
Huanyu Wang, E. Dubrova
{"title":"Tandem Deep Learning Side-Channel Attack Against FPGA Implementation of AES","authors":"Huanyu Wang, E. Dubrova","doi":"10.1109/iSES50453.2020.00041","DOIUrl":"https://doi.org/10.1109/iSES50453.2020.00041","url":null,"abstract":"The majority of recently demonstrated deep-learning side-channel attacks use a single neural network classifier to recover the key. The potential benefits of combining multiple classifiers with ensemble learning method have not been fully explored in the side-channel attack’s context. In this paper, we show that, by combining several CNN classifiers which use different attack points, it is possible to considerably reduce (more than 40% on average) the number of traces required to recover the key from an FPGA implementation of AES by power analysis. We also show that not all combinations of classifiers improve the attack efficiency.","PeriodicalId":246188,"journal":{"name":"2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115213306","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: 21
A Microcontroller-based Electrochemical Discharge Machining (ECDM) Equipment for Micro-drilling of Quartz Substrates 基于单片机的石英基微孔电化学放电加工(ECDM)设备
2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS) Pub Date : 2020-12-01 DOI: 10.1109/iSES50453.2020.00057
S. Saranya, Adepu Ravi Sankar
{"title":"A Microcontroller-based Electrochemical Discharge Machining (ECDM) Equipment for Micro-drilling of Quartz Substrates","authors":"S. Saranya, Adepu Ravi Sankar","doi":"10.1109/iSES50453.2020.00057","DOIUrl":"https://doi.org/10.1109/iSES50453.2020.00057","url":null,"abstract":"Electrochemical discharge machining (ECDM) is a hybrid micromachining technique used for micro-structuring quartz substrates. In the present work, we have built a microcontroller based ECDM setup for drilling quartz substrates. This setup can be effectively used to fabricate precise micro-holes using the constant velocity feed drilling technique. The tool can be moved along the Z-axis with the minimum and maximum speeds of 1 $mm/hr$ and 50 $mm/hr$ respectively. In order to study the effect of tool feed rate (TFR) on precision improvement, micro-holes were fabricated at different tool feed rates ranging from 0.3 $mu m/sec$ to 1.7 $mu m/sec$. The optimum TFR for fabricating micro-holes with the least entrance diameter, central diameter and overcut was observed to be 0.8 $mu m/sec$. The lower TFR values $(lt 0.8mu m/sec)$ can be used for fabricating through-holes on the substrates. A through-hole having with an aspect ratio of 2.32 with entrance and exit diameters of 820 $mu m$ and 677 $mu m$ respectively was fabricated at a TFR of 0.6 $mu m/sec$.","PeriodicalId":246188,"journal":{"name":"2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115341404","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
Extreme Gradient Boosting for Limb Position Invariant Myoelectric Pattern Recognition 基于极端梯度增强的肢体位置不变肌电模式识别
2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS) Pub Date : 2020-12-01 DOI: 10.1109/iSES50453.2020.00029
Suman Samui, Anand Kumar Mukhopadhyay, Pratik K Ghadge, Gaurav Kumar
{"title":"Extreme Gradient Boosting for Limb Position Invariant Myoelectric Pattern Recognition","authors":"Suman Samui, Anand Kumar Mukhopadhyay, Pratik K Ghadge, Gaurav Kumar","doi":"10.1109/iSES50453.2020.00029","DOIUrl":"https://doi.org/10.1109/iSES50453.2020.00029","url":null,"abstract":"Myoelectric control has a wide range of potential applications including the design of human-machine interfaces for assistive technologies and robotics (prostheses and orthoses) as well as powered exoskeletons. The current work focuses on the Extreme Gradient Boosting - one of the most popular pattern recognition strategies for decoding the information of surface electromyography (sEMG) signals to infer the underlying muscle movements. In the EMG signal based controller design, it is now quite well-established that the position invariant model is a vital aspect. Hence, it should be considered to capture the inevitable dynamic nature of the upper limb. To this end, we have performed the experiments on a dataset consisting of the sEMG signals collected from eleven subjects at five different upper limb positions. The proposed method relies on the pre-processing stage of feature extraction which converts sEMG signal into the correlated time-domain descriptors (cTDD) - a set of descriptive values in the Euclidean space, which helps to learn the gradient boosting classifier. As the EMG signal classification is a subject-specific problem, the classifier has been customized and fine-tuned using the Bayesian optimization method for each subject to get the best possible results. The experimental results have shown that the proposed approach has outperformed the other existing popular classifiers in terms of classification accuracy.","PeriodicalId":246188,"journal":{"name":"2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128532388","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
Heart Rate and Breathing Rate Calculated from Cheeks and Lips Using Green and Derived Colors from Video 心率和呼吸率计算从脸颊和嘴唇使用绿色和衍生的颜色从视频
2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS) Pub Date : 2020-12-01 DOI: 10.1109/iSES50453.2020.00016
D. Biswal, M. J. Mollakazemi, Brooke C. Place, A. Patwardhan
{"title":"Heart Rate and Breathing Rate Calculated from Cheeks and Lips Using Green and Derived Colors from Video","authors":"D. Biswal, M. J. Mollakazemi, Brooke C. Place, A. Patwardhan","doi":"10.1109/iSES50453.2020.00016","DOIUrl":"https://doi.org/10.1109/iSES50453.2020.00016","url":null,"abstract":"There has been considerable interest in the development of non-contact measurement of heart rate (HR) and breathing rate (BR). Some researchers have focused the heart rate (HR) and breathing rate (BR) measurement on the cheek region extracted from the face. The physiological rationale behind selecting the face and facial parts such as cheeks rely on the concept of photoplethysmography (PPG), which is the absorption of light by blood cells. A PPG signal contains information about HR and BR. Several studies have used PPG from the cheek portion extracted from the videos as many capillaries lie underneath the cheeks. Lips also carry a rich bed of blood vessels underneath. Because of the difference in innervation of the lips from the cheeks, there is the possibility that non-contact measurement from the lips may also contain information about subtle changes in autonomic function. Therefore, we explored whether lips might contain information about HR and BR comparable or better than cheeks in measuring HR and BR. Towards this goal data were collected from 5 subjects. Our results showed that while measurements from lips generally were comparable to those from cheeks, for wider use, lips may not be a viable location to calculate non-contact HR and BR due to possible confounding factors.","PeriodicalId":246188,"journal":{"name":"2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133155028","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
Comparison of Dynamic control model of Autonomous Underwater Vehicle Guidance 水下机器人自主制导动态控制模型比较
2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS) Pub Date : 2020-12-01 DOI: 10.1109/iSES50453.2020.00023
S. M. Srivatsn, G. Sakthivel, D. Saravanakumar, R. Jagadeeshwaran, R. Sivakumar
{"title":"Comparison of Dynamic control model of Autonomous Underwater Vehicle Guidance","authors":"S. M. Srivatsn, G. Sakthivel, D. Saravanakumar, R. Jagadeeshwaran, R. Sivakumar","doi":"10.1109/iSES50453.2020.00023","DOIUrl":"https://doi.org/10.1109/iSES50453.2020.00023","url":null,"abstract":"For Autonomous Underwater Vehicle (AUV), especially with reliable attitude control for trajectory tracking, an effective heading control is crucial. This work addresses the mathematical modelling of the considered vehicle, drafting closed loop control system design for the plant, and comparing germane control algorithms. In order to tackle the pith in trajectory tracking and heading control, the constructed equations of motion are inclusive of the time-variant properties such as added mass, vehicle drag and so on. The corresponding dynamics is constructed accordingly, to simulate the motion of the underwater vehicle without any environmental disturbance. Based on the model, error dynamics for the tracking controller is regulated, by estimating the deviation of the vehicle coordinates from predefined trajectory. This leitmotif is then scrutinized with the postulated equations, on the grounds of the conditions framed. The output produced is then compared between the algorithms to deduce the optimal one.","PeriodicalId":246188,"journal":{"name":"2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133531854","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
Design of Hardware Accelerators for Fractal based Machine Learning Applications 基于分形的机器学习硬件加速器设计
2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS) Pub Date : 2020-12-01 DOI: 10.1109/iSES50453.2020.00027
Soumyajit Poddar, K. Amal Thomas, Gaurav Kumar
{"title":"Design of Hardware Accelerators for Fractal based Machine Learning Applications","authors":"Soumyajit Poddar, K. Amal Thomas, Gaurav Kumar","doi":"10.1109/iSES50453.2020.00027","DOIUrl":"https://doi.org/10.1109/iSES50453.2020.00027","url":null,"abstract":"Natural processes are non-linear dynamical systems. Samples extracted from such processes are often estimated through non-Euclidean geometry like fractals. Provided such a structure exists in a given data distribution, it becomes imperative to use non-Euclidean space like graphs and manifolds to represent it. Traditional Euclidean machine learning or deep learning techniques may not be sufficient for such spaces. This work provides some insights on how learning or inference for such classes of problems may be accomplished by following some novel hardware software co-design techniques. This work proposes some novel techniques to design hardware accelerators for realizing fractal based machine learning applications.","PeriodicalId":246188,"journal":{"name":"2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":"72 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120822789","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
Characterization of Charge Plasma-based Junctionless Tunneling Field Effect Transistor (JL-TFET) 基于电荷等离子体的无结隧穿场效应晶体管(JL-TFET)的表征
2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS) Pub Date : 2020-12-01 DOI: 10.1109/iSES50453.2020.00020
Nafis Mustakim, Sazzad Hussain, J. K. Saha
{"title":"Characterization of Charge Plasma-based Junctionless Tunneling Field Effect Transistor (JL-TFET)","authors":"Nafis Mustakim, Sazzad Hussain, J. K. Saha","doi":"10.1109/iSES50453.2020.00020","DOIUrl":"https://doi.org/10.1109/iSES50453.2020.00020","url":null,"abstract":"The steep doping profile associated with conventional Tunneling Field Effect Transistor (TFET) provides significant hindrances from a fabrication perspective despite the obvious merits of the device. Junctionless TFET (JL-TFET) alleviates the problem considerably by introducing a uniform doping profile across the device. In this study, we have looked at several device parameters like gate insulator dielectric constant, gate insulator thickness, silicon body thickness, doping level, and work function of P-gate and source which affect the performance of the device. The analysis is done based on the impact of parameters on subthreshold swing (SS), on-current to off-current ratio ($I_{on}/I_{off}$), and threshold voltage (VT). The influence of certain parameters on on-current (Ion) has also been looked at. These have enabled us to identify how the tuning of parameters could lead to peak device performance.","PeriodicalId":246188,"journal":{"name":"2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128384023","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
Game Theory Based Energy Efficient Routing in Cognitive Radio Wireless Sensor Networks 基于博弈论的认知无线传感器网络节能路由
2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS) Pub Date : 2020-12-01 DOI: 10.1109/iSES50453.2020.00019
Prativa Rai, M. Ghose, H. Sarma
{"title":"Game Theory Based Energy Efficient Routing in Cognitive Radio Wireless Sensor Networks","authors":"Prativa Rai, M. Ghose, H. Sarma","doi":"10.1109/iSES50453.2020.00019","DOIUrl":"https://doi.org/10.1109/iSES50453.2020.00019","url":null,"abstract":"A routing protocol for Cognitive Radio Wireless Sensor Networks (CRWSN) has been proposed here. The protocol is hierarchical. Various clusters are formed in the network, and each cluster contains one major cluster head node and two minor cluster head nodes. The cluster head nodes are selected by exploiting evolutionary game theory. The unique routing structure proposed in this work supports mobility of the cognitive radio nodes and offers energy efficiency and higher throughput. Future scopes of the work are outlined.","PeriodicalId":246188,"journal":{"name":"2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134295167","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
Design and Analysis of Low Power and High Speed FinFET based Hybrid Full Adder/Subtractor Circuit (FHAS) 基于低功率高速FinFET的混合全加/减电路(FHAS)设计与分析
2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS) Pub Date : 2020-12-01 DOI: 10.1109/iSES50453.2020.00069
E. Ramkumar, D. Gracin, P. Rajkamal, P. BhuvanaB., V. S. K. Bhaaskaran
{"title":"Design and Analysis of Low Power and High Speed FinFET based Hybrid Full Adder/Subtractor Circuit (FHAS)","authors":"E. Ramkumar, D. Gracin, P. Rajkamal, P. BhuvanaB., V. S. K. Bhaaskaran","doi":"10.1109/iSES50453.2020.00069","DOIUrl":"https://doi.org/10.1109/iSES50453.2020.00069","url":null,"abstract":"In this paper, two novel hybrid adder designs, namely, FHAS-1 and FHAS-2 have been proposed. These designs are designed using multiplexor, XOR and XNOR gates and they can be operated as both adder and subtractor modules effectively. A hybrid logic design principle has been utilized to construct the circuit structures. Transmission gate structures have been employed to realize the multiplexor design which determines whether addition or subtraction operation has to be performed by circuit. These circuits are designed using BSIMCMG FinFET 32nm technology files and the simulation is carried out using Cadence® Virtuoso tool. It is demonstrated that the proposed circuits incur lower power consumption and reduced delay compared to existing adder and subtractor circuit counterparts. Proposed circuits have been analyzed in terms of varying load and changing supply voltage conditions and the efficiency of FHAS-1 and FHAS-2 have been validated. It is observed that proposed FHAS-1 circuit is 81.25%, 42.13%, 25% and 13% more power efficient than the hybrid full adder circuit counterparts such as HFA -19T, HFA -22T, HFA -26T and HFA -17T, respectively.","PeriodicalId":246188,"journal":{"name":"2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134537273","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
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