2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON)最新文献_第5页

On The Road to A Comparative Car Racing EEG-based Signals for Mental and Physical Brain Activity Evaluation 基于脑电图信号的赛车心理与生理脑活动评价比较研究

2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON) Pub Date : 2019-03-01 DOI: 10.1109/IEMECONX.2019.8877037

Ahmed Mansour, Hebatalla Ouda

{"title":"On The Road to A Comparative Car Racing EEG-based Signals for Mental and Physical Brain Activity Evaluation","authors":"Ahmed Mansour, Hebatalla Ouda","doi":"10.1109/IEMECONX.2019.8877037","DOIUrl":"https://doi.org/10.1109/IEMECONX.2019.8877037","url":null,"abstract":"Nowadays, there are massive demands for enabling Internet of Things (IoT) technology in multi-disciplines domains. IoT provides a suitable and adaptable platform for different system such healthcare, transportation, communication, industry, gaming and entertainment, agriculture, security….etc. This paper focuses on using IoT technology with Cloud in healthcare system through a novel idea to evaluate mental and physical brain activities by exploit EEG headset. The traditional EEG headsets rely on using invasive EEG with multiple electrodes, which makes patients stressed and worried from wearing such headset. Thus, the proposed architecture model relies on using a modern, comfortable, easy-wear EEG headset to collect data through a car racing competition. Such data will be forward to Cloud to perform analysis and indicate level of brainwave diagnostics in order to control a robotic car to pass into a certain challenge directions. This idea facilitates the complexity of the conventional mental evaluation by using Neurosky Mindwave EEG headset to be easy for use and adaptable with multiple changes and developments. In this paper, we aim to introduce the idea of Brain Race for mental status detection and evaluation as a new transition step between entertainment and brain activity evaluation at different scenarios.","PeriodicalId":358845,"journal":{"name":"2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129265376","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 New Crab Shell Search Algorithm for Optimal Assembly Sequence Generation 装配序列最优生成的蟹壳搜索算法

2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON) Pub Date : 2019-03-01 DOI: 10.1109/IEMECONX.2019.8877041

G. B. Murali, B. Biswal, B. Deepak, A. Rout, Golak Bihari Mohanta

{"title":"A New Crab Shell Search Algorithm for Optimal Assembly Sequence Generation","authors":"G. B. Murali, B. Biswal, B. Deepak, A. Rout, Golak Bihari Mohanta","doi":"10.1109/IEMECONX.2019.8877041","DOIUrl":"https://doi.org/10.1109/IEMECONX.2019.8877041","url":null,"abstract":"Assembly Sequence Planning (ASP) problem is one of the multi-objective optimization problems, where more than one objective function has to optimize to obtain quality optimal sequence. Initially, for ASP problem researchers applied mathematical models to obtain optimal sequences. Later, soft computing techniques are developed to obtain the optimal assembly sequences due to its ease ness in implementation. At the same time, some of the researchers developed CAD based and knowledge-based methods to obtain the optimal sequences, which consumes more search space during execution of the algorithm. Keeping the above considerations in mind and the advantages with artificial intelligence techniques, in this paper a new algorithm namely Crab Shell Search (CSS) algorithm has been proposed to obtain the optimal assembly sequences. This algorithm is developed mainly based on how the crab will search for a suitable shell in the shore to survive from the foreign bodies. The proposed methodology is applied to the different industrial products, the results obtained from the algorithm are compared with different well-known algorithms like Genetic Algorithm (GA), Ant Colony optimization (ACO) Algorithm, Enhanced Genetic Algorithm (EGA) and Memetic Algorithm (MA) to test the performance of the algorithm.","PeriodicalId":358845,"journal":{"name":"2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133344483","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 Quantitative Performance Assessment of surface EMG and Accelerometer in Sign Language Recognition 表面肌电和加速度计在手语识别中的定量性能评估

2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON) Pub Date : 2019-03-01 DOI: 10.1109/iemeconx.2019.8877060

Rinki Gupta

{"title":"A Quantitative Performance Assessment of surface EMG and Accelerometer in Sign Language Recognition","authors":"Rinki Gupta","doi":"10.1109/iemeconx.2019.8877060","DOIUrl":"https://doi.org/10.1109/iemeconx.2019.8877060","url":null,"abstract":"Sign language predominantly makes use of different hand postures and hand motions. The combined use of surface electromyogram (sEMG) and accelerometer sensors in a wearable sign language recognition system has been shown to enhance performance as compared to either of the sensing modalities. However, since sEMG is prone to motion artefacts, noises arising due to sweat on skin surface besides being costlier as compared to accelerometers, there has been a discussion in literature regarding the development of sign language recognition system with only motion sensors. In this work, the utilities of sEMG and accelerometer are analysed to reveal the scenario under which each of these modalities contribute the most. For a set of 1200 recordings, the overall accuracy when only sEMG or accelerometer signals are used is found to be 86.3% and 82.1% respectively, whereas their combined use yields an accuracy of 87.5%. Although, the inclusion of accelerometer data with the sEMG signals in a sign language recognition system is found to improve the overall recognition accuracy of the signs, it is demonstrated that under certain conditions the accelerometer data does not contribute much towards sign recognition. In fact, inclusion of accelerometer data with the sEMG signals under these conditions may adversely affect the classification accuracy of the sign. However, for another category of signs, accelerometers are sufficient for classification and sEMG is not required. The supporting results are also tested for significance using statistical analysis.","PeriodicalId":358845,"journal":{"name":"2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126977449","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

Design and Performance of High-speed Low-Offset CMOS Double-Tail Dynamic Comparators using Offset Control scheme 基于偏置控制的高速低偏置CMOS双尾动态比较器的设计与性能

2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON) Pub Date : 2019-03-01 DOI: 10.1109/IEMECONX.2019.8876979

Avaneesh K. Dubey, P. K. Pal, Vikrant Varshney, Ankur Kumar, R. Nagaria

引用次数: 3

GSM controlled location specific garbage collecting Smart-bin GSM控制的特定位置的垃圾收集智能垃圾箱

2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON) Pub Date : 2019-03-01 DOI: 10.1109/iemeconx.2019.8877007

Biswajit Jana, Pragnapan Roy, Supratim Sengupta, Suvasis Porey, Riya Sen

引用次数: 7

Non-Conventional Cantilever for Piezoelectric Energy Harvesting at Ultra Low Resonant Frequency 超低谐振频率压电能量收集的非常规悬臂梁

2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON) Pub Date : 2019-03-01 DOI: 10.1109/IEMECONX.2019.8877092

Abhishek Ray, V. Butram, Namrata Gupta, Alok Naugarhiya

{"title":"Non-Conventional Cantilever for Piezoelectric Energy Harvesting at Ultra Low Resonant Frequency","authors":"Abhishek Ray, V. Butram, Namrata Gupta, Alok Naugarhiya","doi":"10.1109/IEMECONX.2019.8877092","DOIUrl":"https://doi.org/10.1109/IEMECONX.2019.8877092","url":null,"abstract":"The piezoelectric energy harvester is the most prominent energy sources to sustain low power electronic devices which include mobile, wireless sensor nodes and biomedical applications etc. This paper demonstrates a non-conventional type cantilever structure based piezoelectric energy harvester. The sidewall of the proposed structure is in staircase shape, hole in the beam and a tip mass on the free end side. To achieve high output power at low-frequency range unimorph PZT-5H piezoelectric material is used in the cantilever beam. The proposed structure for proof mass is incorporated at the free side of the cantilever and a hole on the beam. The simulation measures the resonance frequency of the cantilever and for the different values of load output electrical power is estimated. The proposed work achieves the electric potential of 0.7 V at 53.4 Hz with 1.0 g of input acceleration. Based on the simulation this harvester reports output power for various values of loads ranging from 100 Ω to 100 MΩ. With the load value of 30 kΩ maximum output power attained is 300 ΩW.","PeriodicalId":358845,"journal":{"name":"2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133826267","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

A Novel Approach towards Pattern and Speed Invariant Holistic Analysis of Dynamic Gesture Recognition System 动态手势识别系统模式和速度不变整体分析的新方法

2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON) Pub Date : 2019-03-01 DOI: 10.1109/IEMECONX.2019.8877087

Songhita Misra, R. Laskar

{"title":"A Novel Approach towards Pattern and Speed Invariant Holistic Analysis of Dynamic Gesture Recognition System","authors":"Songhita Misra, R. Laskar","doi":"10.1109/IEMECONX.2019.8877087","DOIUrl":"https://doi.org/10.1109/IEMECONX.2019.8877087","url":null,"abstract":"This study focused to develop a user-friendly gesture recognition system with multiple speed and gesturing pattern. The differences in speed and gesturing pattern by different users immensely affect the accuracy of the gesture system if the features are spatiotemporal in nature. Existing trajectory features in literature are spatiotemporal in nature. The trajectory data represents the gesture as an ordered sequence of direction in 2D retaining its temporal information. Such systems are not user-convenient and restricted to limited applications. Therefore, we proposed a new approach of feature extraction from the dynamic gestures which are not trajectory-based and yet pattern and speed invariant with minimum computational complexity. In the proposed system, after the gesture is smoothened, it is represented as a binary image unlike a 2D sequence of trajectory points in the Euclidean space. The image is sub-divided into local instances to extract magnitude of Zernike moment and histogram features from each instance. The study is carried out on 16 keyboard characters from literature which are highly likely to have different patterns from different users. The proposed approach improved the accuracy by 8.65% (histogram + ANN model) and 2.05% (Zernike moment + ELM model) than existing spatial trajectory based system for pattern variation.","PeriodicalId":358845,"journal":{"name":"2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134483064","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

Optimal time-jerk-torque trajectory planning of industrial robot under kinematic and dynamic constraints 运动学和动力学约束下工业机器人最优时间-扭矩轨迹规划

2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON) Pub Date : 2019-03-01 DOI: 10.1109/IEMECONX.2019.8877063

A. Rout, Golak Bihari Mohanta, B. Gunji, B. Deepak, B. Biswal

{"title":"Optimal time-jerk-torque trajectory planning of industrial robot under kinematic and dynamic constraints","authors":"A. Rout, Golak Bihari Mohanta, B. Gunji, B. Deepak, B. Biswal","doi":"10.1109/IEMECONX.2019.8877063","DOIUrl":"https://doi.org/10.1109/IEMECONX.2019.8877063","url":null,"abstract":"In this paper, an offline optimal trajectory planning of 6-axis industrial subjected to both kinematic and dynamic constraints has been presented. The positional accuracy of the robot end effector and smoothness of the robot travel can be achieved by minimizing the torque rate and joint jerks. But this results in vast increase in total travel time of robot which as a result affects the productivity. This leads to a formulation of a multi-objective optimization, as jerk and torque rate functions are contradictory to time interval function. Therefore, a new and efficient Hybrid Multi-Objective Evolutionary Algorithm (HMOEA) i.e. Non-Dominated Sorting Genetic Algorithm (NSGA-II) combined with Nelder-Mead simplex method with better local search has been proposed to obtain an optimal Pareto front consisting of non-dominated solutions that can give best trade-off between the objectives. Finally, the optimal results have been validated through simulation and experiment using Kawasaki RS06L 6-axis robot available in product development laboratory of department.","PeriodicalId":358845,"journal":{"name":"2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114248908","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

An Empirical Framework for Web Service Anti-pattern Prediction using Machine Learning Techniques 使用机器学习技术的Web服务反模式预测的经验框架

2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON) Pub Date : 2019-03-01 DOI: 10.1109/IEMECONX.2019.8877008

Sahithi Tummalapalli, L. Kumar, Lalita Bhanu Murthy Neti

{"title":"An Empirical Framework for Web Service Anti-pattern Prediction using Machine Learning Techniques","authors":"Sahithi Tummalapalli, L. Kumar, Lalita Bhanu Murthy Neti","doi":"10.1109/IEMECONX.2019.8877008","DOIUrl":"https://doi.org/10.1109/IEMECONX.2019.8877008","url":null,"abstract":"In todays software industries, the concepts of Web Services are applied to design and develop distributed software system. These distributed software system can be designed and developed by integrating different Web Services provided by different parties. Similar to other software systems, Web Services based system also suffers from bad or poor design i.e., bad design selection, anti-pattern, poor planning etc.. Early prediction of anti-patterns can help developer and tester in fixing design issue and also effectively utilize the resources. The work in this paper empirically investigates and evaluates six classification techniques, 8 feature selection techniques (7 feature ranking techniques and 1 feature subset evaluation technique), and 1 data sampling technique to handle imbalance data in predicting 5 different types of anti-patterns. These all techniques are validated on 226 real-world web-services across several domains. The performance of the developed models using these techniques are evaluated using AUC value. Our analysis reveals that the model developed using these techniques able to predict different anti-patterns using source code metrics. Our analysis also reveals that the best feature selection technique is OneR, data sample is better that without sampling and Random Forest is best classification algorithm for anti-pattern predictions.","PeriodicalId":358845,"journal":{"name":"2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124189026","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

Strategic Markowitz Portfolio Optimization (SMPO): A Portfolio Return Booster 战略马科维茨投资组合优化（SMPO）：投资组合回报的助推器

2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON) Pub Date : 2019-03-01 DOI: 10.1109/IEMECONX.2019.8876969

Navoneel Chakrabarty, Sanket Biswas

{"title":"Strategic Markowitz Portfolio Optimization (SMPO): A Portfolio Return Booster","authors":"Navoneel Chakrabarty, Sanket Biswas","doi":"10.1109/IEMECONX.2019.8876969","DOIUrl":"https://doi.org/10.1109/IEMECONX.2019.8876969","url":null,"abstract":"In Financial Data Science and more specifically in Investment Analytics, Portfolio Optimization is a very crucial aspect. A portfolio consisting of a collection of securities, has certain weights assigned to each security. Banking on these weights, the overall Portfolio Return and Risk are determined. Investors always try to find the Optimized Portfolio by adjusting the weightage given to each security in the portfolio. In this paper, a diverse, practical and exemplar portfolio, also having tint of similarity among securities, is considered. It has stocks from 8 companies (not from or any particular market indices): General Motors (GM), Ford Motor Company (F), Cognizant (CTS), International Business Machines Corporation (IBM), Apple Technology Company (AAPL), Vivo (VIVO), Under Armour (UAA) and Nike (NKE). The Optimized Portfolio is constructed with adjusted weightage for each company in the portfolio using Strategic Markowitz Portfolio Optimization (SMPO). The obtained Optimized Portfolio yielded a Logarithmic Portfolio Return of 0.04268 at minimum Risk (Standard Deviation) of 0.14951 and maximum possible Logarithmic Return of 0.15873 at a Risk (Standard Deviation) of 0.17938. Using the Markowitz Portfolio Optimization in a strategic manner for such portfolio where there is diversity along with different shades of similarity, can fetch more Optimized Portfolio than obtained by the Classical approach of Markowitz Portfolio Optimization.","PeriodicalId":358845,"journal":{"name":"2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128141796","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