2018 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)最新文献

High Level Optimization Methodology for High Performance DSP Systems using Retiming Techniques 使用重定时技术的高性能DSP系统的高级优化方法

2018 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2018-08-01 DOI: 10.1109/DISCOVER.2018.8674128

Harpreet Mehra, M. S. Bhat

引用次数: 3

Extractive Document Summarization Using a Supervised Learning Approach 使用监督学习方法提取文档摘要

2018 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2018-08-01 DOI: 10.1109/DISCOVER.2018.8674133

S. Charitha, Nagaratna B. Chittaragi, S. Koolagudi

引用次数: 8

Performance Analysis of 64×64 bit Multiplier Designed Using Urdhva Tiryakbyham and Nikhilam Navatashcaramam Dashatah Sutras 利用Urdhva Tiryakbyham和Nikhilam Navatashcaramam Dashatah经设计的64×64位乘法器的性能分析

2018 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2018-08-01 DOI: 10.1109/DISCOVER.2018.8674125

G. S. Sai Venkatramana Prasada, G. Seshikala, Niranjana Sampathila

引用次数: 2

A fault-tolerant control strategy for non-linear system: An application to the two tank canonical noninteracting level control system 非线性系统的容错控制策略:在双槽标准非相互作用液位控制系统中的应用

2018 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2018-08-01 DOI: 10.1109/DISCOVER.2018.8674119

H. Patel, V. Shah

{"title":"A fault-tolerant control strategy for non-linear system: An application to the two tank canonical noninteracting level control system","authors":"H. Patel, V. Shah","doi":"10.1109/DISCOVER.2018.8674119","DOIUrl":"https://doi.org/10.1109/DISCOVER.2018.8674119","url":null,"abstract":"Two tank canonical system is highly used in process industries because of its mechanical structure which contributes fast release for liquid, slurries, viscous, and solid mixture. Two tank canonic system is highly nonlinear system due to its shape and varying cross-sectional area, hence the level control of this system is extremely difficult due to nonlinear behavior of the system. As a matter of facts, when abnormal activity occur such as system component, actuator and sensor faults occur in the system and hence system performances degrade drastically and a hazardous situation occurs. Fault-tolerant control is an advanced control strategy, which maintains control performance and system stability even though fault occurred in the system. The paper attributes to design a passive FTC strategy for a Two-Tank Canonical Non-Interacting Level Control System (TTCNILCS) with the constraint of a system, actuator faults, and process disturbances. FTC will increasing system performance in the presence of the faults. The simulation results demonstrate the proposed strategy has definite fault tolerant ability against the system and actuator faults also it has disturbance rejection capability. To verify the efficacy of the proposed passive FTC strategy Mean Square Error (MSE) indices is used.","PeriodicalId":109938,"journal":{"name":"2018 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123606604","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: 13

Ontologies to Model User Profiles in Personalized Job Recommendation 个性化作业推荐中建模用户配置文件的本体

2018 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2018-08-01 DOI: 10.1109/DISCOVER.2018.8674084

S. R. Rimitha, Vedasamhitha Abburu, Annem Kiranmai, K. Chandrasekaran

{"title":"Ontologies to Model User Profiles in Personalized Job Recommendation","authors":"S. R. Rimitha, Vedasamhitha Abburu, Annem Kiranmai, K. Chandrasekaran","doi":"10.1109/DISCOVER.2018.8674084","DOIUrl":"https://doi.org/10.1109/DISCOVER.2018.8674084","url":null,"abstract":"Personalized recommendation aims to provide results that are likely to be of interest to a particular user. Personalized recommendation is useful in the domain of job search in order to provide individuals more personalized recommendations of job listings based on their preferences. User profiles a re thus constructed based on the individual users preferences. On the other hand, user profiles a re helpful in improving the recommendations. In general, user profiles are structured based on the individual’s preferences. User profiles can be represented in various ways, one such way is ontology which is the systematic categorization and representation of relationships between various entities within a domain. Ontologies has been widely used in the domain of e-commerce and medicine. In this paper, we use ontologies in the domain of personalized job recommendation, to model user profiles. The major objective of this paper is to provide an ontology based user profile for the domain of job recommendation. In particular, we identified suitable classes, attributes and relations that are specific to job recommendation system. In addition, we presented OWL representation of the proposed ontological model such that it can be reused by domain experts.","PeriodicalId":109938,"journal":{"name":"2018 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125778216","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: 9

Distributed Computing and Image Processing for Autonomous Driving Systems 自动驾驶系统的分布式计算和图像处理

2018 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2018-08-01 DOI: 10.1109/DISCOVER.2018.8673972

Tejaswa Gavankar, Aditi Joshi, Shantanu Sharma

{"title":"Distributed Computing and Image Processing for Autonomous Driving Systems","authors":"Tejaswa Gavankar, Aditi Joshi, Shantanu Sharma","doi":"10.1109/DISCOVER.2018.8673972","DOIUrl":"https://doi.org/10.1109/DISCOVER.2018.8673972","url":null,"abstract":"in an autonomous driving system, the field of view spans multiple cameras placed around a car driven through numerous driving scenarios. Sensor data is received by the analyzing unit at a high velocity, also the camera provides over millions of images for a small drive of about half a mile. Also not all the images captured by the cameras are capable of being analyzed as some of them might have to be discarded on accounts of high noise levels or lack of lighting. A simple example of this is when pictures clicked on burst mode often have more throwaways than the ones which can be utilized. So, it is important for the analyzing unit to make a series of decisions before even starting the feature extraction process. Efficient processing of a high volume of images is therefore a challenge which autonomous systems such as the driving system face. Given the multiple cameras present on autonomous cars, providing high resolution pictures through varying driving scenarios, the objective is to process and analyze this huge dataset efficiently. This paper shall demonstrate the power of distributed computing in image processing algorithms and analysis of incredibly large datasets using a distributed approach. This paper gives a statistical proof of concept of how implementing a distributed parallel programming paradigm can improve autonomous systems such as the driving system which deal with high volumes of images.","PeriodicalId":109938,"journal":{"name":"2018 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128731000","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

DISCOVER 2018 Conference Committee DISCOVER 2018会议委员会

2018 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2018-08-01 DOI: 10.1109/discover.2018.8674118

引用次数: 0

DISCOVER 2018 Reviewers 发现2018审稿人

2018 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2018-08-01 DOI: 10.1109/discover.2018.8674086

引用次数: 0

Development of Smart Drip Irrigation System Using IoT 基于物联网的智能滴灌系统的开发

2018 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2018-08-01 DOI: 10.1109/DISCOVER.2018.8674080

Anushree Math, L. Ali, U. Pruthviraj

{"title":"Development of Smart Drip Irrigation System Using IoT","authors":"Anushree Math, L. Ali, U. Pruthviraj","doi":"10.1109/DISCOVER.2018.8674080","DOIUrl":"https://doi.org/10.1109/DISCOVER.2018.8674080","url":null,"abstract":"India is a country with agriculture having paramount significance. Hence it is important to irrigate the plants in an astute way to get good production by maximizing the yield per unit space. Irrigation is the supply of an appropriate amount of water to the plants at a precise time. The objective of this endeavour is to irrigate the plants using the smart drip irrigation system within National Institute of Technology Karnataka campus. To achieve this, open source platform is used as a central controller of the system. Various sensors have been employed which continuously provide the existing parameters of factors governing healthiness of plants. Based on the information obtained from the RTC module water is supplied to the plants at regular interval of time by controlling a solenoid valve. The entire irrigation system can be monitored and managed by the webpage. This web page has a facility for controlling the irrigation of plants, both in manual and automatic fashion. The health of the plants is monitored by a raspberry pi camera which gives live streaming to the webpage. Water flow sensor accords information about water flow to the controller by the means of wireless communication. This information is analyzed by the controller to find out leakages in the pipe. Further, weather prediction is carried out, so as to regulate the quantity of water being administered thus making it more reliable and efficient.","PeriodicalId":109938,"journal":{"name":"2018 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"248 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121428782","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: 20

Review on Network Intrusion Detection Techniques using Machine Learning 基于机器学习的网络入侵检测技术综述

2018 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2018-08-01 DOI: 10.1109/DISCOVER.2018.8673974

K. Shashank, Mamatha Balachandra

引用次数: 3