2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C)最新文献

Anthropometric and Motor Fitness Based Assessment of Playing Positions in Volleyball Players with the AID of Predictive Machine Learning Models 基于人体测量学和运动健身的排球运动员位置评估与预测机器学习模型

2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C) Pub Date : 2018-10-01 DOI: 10.1109/CIMCA.2018.8739540

Santoshi Sneha Tadanki, H. S. Sanjay, Basavaraj Hiremath, H. K. Kiran Kumar

{"title":"Anthropometric and Motor Fitness Based Assessment of Playing Positions in Volleyball Players with the AID of Predictive Machine Learning Models","authors":"Santoshi Sneha Tadanki, H. S. Sanjay, Basavaraj Hiremath, H. K. Kiran Kumar","doi":"10.1109/CIMCA.2018.8739540","DOIUrl":"https://doi.org/10.1109/CIMCA.2018.8739540","url":null,"abstract":"Volleyball is a team sport in which the performance of the players is often dependant on various factors such as regular training and playing positions which are in turn affected by several factors of players. The Anthropometric Parameters (AP) indicate the body composition of the individual and can be used to ascertain the suitable playing positions of players. Further, aspects such as Motor Fitness Parameters (MFP) can impact the quality of play in volleyball. The present work was successful in concluding that the BMI and Height in AP and Explosive Power (EP) and Relative Jump (RJ) in MFP are indicative of playing positions, with EP and RJ being statistically significant features as well. For predicting suitable playing positions, machine learning algorithms namely Support Vector Machine (SVM), SVM with variable scaling, SVM with hyper parameter optimization and Extreme Gradient Boosting (XG Boost) with model based learning parameters were used. The classification results were found to be accurate upto 98.98% in SVM with tuned hyper parameter optimization technique and in XG Boost. But XG Boost was found to perform significantly faster than the former approach. Such approaches can be incorporated in various training and rehabilitation programs in volleyball to improve the performance of the players.","PeriodicalId":317591,"journal":{"name":"2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C)","volume":"58-60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123121653","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

Efficient routing protocol in IoT using modified Genetic algorithm and its comparison with existing protocols 基于改进遗传算法的物联网高效路由协议及其与现有协议的比较

2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C) Pub Date : 2018-10-01 DOI: 10.1109/CIMCA.2018.8739759

Aishwarya S Hampiholi, B. P. Vijaya Kumar

{"title":"Efficient routing protocol in IoT using modified Genetic algorithm and its comparison with existing protocols","authors":"Aishwarya S Hampiholi, B. P. Vijaya Kumar","doi":"10.1109/CIMCA.2018.8739759","DOIUrl":"https://doi.org/10.1109/CIMCA.2018.8739759","url":null,"abstract":"With the advancements in the field of Internet of things (IoT), the scope for research and development of wireless mesh network (WMN) and wireless sensor networks (WSN) has grown drastically. Routing of data in a network is a crucial task, and a significant amount of energy can be saved if the routing is done effectively in a network which is an optimization problem with many constraints like path, energy in a node, link quality, traffic, etc. In order to solve such problems, Genetic Algorithms (GA) that includes heuristic techniques over the given network population would provide a convincing optimized solution. However, the performance of such algorithm is hindered due to premature convergence, hence are incapable of traversing the search space to have numerous solutions for better energy saving. In order to tackle such drawbacks, an enhanced Genetic Algorithm using Local Search technique can be adapted. In this paper, we propose a modified GA called as MEGA (Maximum Enhanced Genetic Algorithm) using Local Search mechanism along with Sleep-Wake up mechanism. It optimizes the Wireless Sensor Network such that the energy conservation and extension of network lifetime takes place dynamically, by considering the communication constraints and energy consumption of sensors during their operation and communication. We compare our proposed MEGA protocol with a few existing routing protocols to check its efficiency in terms of routing performance and energy consumption. Development and performance analysis of ad-hoc networking protocols is realized using software-based simulation tools and performance of the system is evaluated for different networking scenario and conditions of WSN with improved energy saving and routing efficiency.","PeriodicalId":317591,"journal":{"name":"2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123214744","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: 10

Using Machine Learning algorithms for breast cancer risk prediction and diagnosis 使用机器学习算法进行乳腺癌风险预测和诊断

2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C) Pub Date : 2018-10-01 DOI: 10.1109/CIMCA.2018.8739696

Anusha Bharat, N. Pooja, R. Reddy

引用次数: 40

Versatile control of multiple morphing surfaces of Micro Air Vehicle with reduced weight and optimized power consumption 减轻重量和优化功耗的微型飞行器多变形曲面的通用控制

2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C) Pub Date : 2018-10-01 DOI: 10.1109/CIMCA.2018.8739704

G. Kamalakannan, G. K. Singh, C. Ananda

{"title":"Versatile control of multiple morphing surfaces of Micro Air Vehicle with reduced weight and optimized power consumption","authors":"G. Kamalakannan, G. K. Singh, C. Ananda","doi":"10.1109/CIMCA.2018.8739704","DOIUrl":"https://doi.org/10.1109/CIMCA.2018.8739704","url":null,"abstract":"Morphing or shape changing of aircraft, though attractive from aerodynamics point of view, entails additional weight and power penalty and control complexities that pose research challenges. Researchers generally agree with the aerodynamic benefits of morphing and propose Shape Memory Alloy (SMA) actuators for controlled morphing. However, the methods discussed in the literature, generally uses computer based software and data acquisition systems that are suitable for ground based operation. This paper presents an in-flight configurable morphing Micro Air Vehicle (MAV) with four SMA actuated morphing surfaces. As a proof of concept, NAL’s 300mm MAV airframe was modified to provide deflectable leading edges and trailing edges on both left and right side wing of the MAV. These four morphing surfaces could be actuated independently. The paper also presents the weight reduction methods employed to achieve a weight budget of less than 6g per morphing system. The power optimization using staggered PID-PWM control algorithm has reduced the peak battery current drawn by four SMA actuators (apparently operating together) to that of a single SMA. Typical rate of 4.4°/s for actuating the morphing segment and 2.6°/s for deactivating the same have been achieved at a control accuracy of ±0.5°.","PeriodicalId":317591,"journal":{"name":"2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114109378","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

A Novel IoT Cloud-based Real-Time Cardiac Monitoring Approach using NI myRIO-1900 for Telemedicine Applications 基于NI myRIO-1900的新型物联网云实时心脏监测方法，用于远程医疗应用

2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C) Pub Date : 2018-10-01 DOI: 10.1109/CIMCA.2018.8739701

Uma Arun, S. Natarajan, Rama Reddy Rajanna

{"title":"A Novel IoT Cloud-based Real-Time Cardiac Monitoring Approach using NI myRIO-1900 for Telemedicine Applications","authors":"Uma Arun, S. Natarajan, Rama Reddy Rajanna","doi":"10.1109/CIMCA.2018.8739701","DOIUrl":"https://doi.org/10.1109/CIMCA.2018.8739701","url":null,"abstract":"Wearable cardiac monitoring devices have been widely used in clinical environments to monitor functioning of heart. Long-term monitoring of cardiac parameters is indeed a norm to understand and capture different arrhythmic episodes for better diagnosis and treatment. The advancements in the field of wireless sensor networks and internet technology paved the way for building smart healthcare Internet-of-Things (IoT) applications. This paper presents a novel implementation of an IoT cloud-based real-time heart rate monitoring system using a reconfigurable embedded device with wireless capability, leveraging the advantage of a managed, cloud-hosted IoT service. A LabVIEW-based real-time embedded device named myRIO 1900 was wired to receive input from an ECG sensor module for data acquisition and further processing. The signal processing and heart rate calculation model was implemented using LabView virtual instrumentation block sets. Further, the implemented system is configured to communicate to IBM Watson IoT platform to view heart rate in real-time. This approach confirms the possibility of building multi-parameter healthcare monitoring applications using a real-time embedded target and an IoT cloud for telemedicine and smart rural healthcare services.","PeriodicalId":317591,"journal":{"name":"2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131774481","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

A Kalman Filter based Full Body Gait Measurement System 基于卡尔曼滤波的全身步态测量系统

2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C) Pub Date : 2018-10-01 DOI: 10.1109/CIMCA.2018.8739597

V. N. Megharjun, Viswanath Talasila

引用次数: 1

Share Price Prediction using Machine Learning Technique 利用机器学习技术预测股价

2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C) Pub Date : 2018-10-01 DOI: 10.1109/CIMCA.2018.8739647

B. Jeevan, E. Naresh, B. P. V. Kumar, Prashanth Kambli

引用次数: 16

Securing smart grid data under key exposure and revocation in cloud computing 云计算中密钥暴露和撤销下的智能电网数据保护

2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C) Pub Date : 2018-10-01 DOI: 10.1109/CIMCA.2018.8739496

J. M. Navya, H. A. Sanjay, K. Deepika

{"title":"Securing smart grid data under key exposure and revocation in cloud computing","authors":"J. M. Navya, H. A. Sanjay, K. Deepika","doi":"10.1109/CIMCA.2018.8739496","DOIUrl":"https://doi.org/10.1109/CIMCA.2018.8739496","url":null,"abstract":"Smart grid systems data has been exposed to several threats and attacks from different perspectives and have resulted in several system failures. Obtaining security of data and key exposure and enhancing system ability in data collection and transmission process are challenging, on the grounds smart grid data is sensitive and enormous sum. In this paper we introduce smart grid data security method along with advanced Cipher text policy attribute based encryption (CP-ABE). Cloud supported IoT is widely used in smart grid systems. Smart IoT devices collect data and perform status management. Data obtained from the IOT devices will be divided into blocks and encrypted data will be stored in different cloud server with different encrypted keys even when one cloud server is assaulted and encrypted key is exposed data cannot be decrypted, thereby the transmission and encryption process are done in correspondingly. We protect access-tree structure information even after the data is shared to user by solving revocation problem in which cloud will inform data owner to revoke and update encryption key after user has downloaded the data, which preserves the data privacy from unauthorized users. The analysis of the system concludes that our proposed system can meet the security requirements in smart grid systems along with cloud-Internet of things","PeriodicalId":317591,"journal":{"name":"2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128450738","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

Bollywood Movie Success Prediction using Machine Learning Algorithms 利用机器学习算法预测宝莱坞电影的成功

2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C) Pub Date : 2018-10-01 DOI: 10.1109/CIMCA.2018.8739693

Ashutosh Kanitkar

引用次数: 8

Humanoid Robotic Head Teaching a Child with Autism 人形机器人头教自闭症儿童

2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C) Pub Date : 2018-10-01 DOI: 10.1109/CIMCA.2018.8739603

M. Aniketh, J. Majumdar

引用次数: 0