2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)最新文献_第5页

Hearing impaired aid and sound quality improvement using bone conduction transducer 骨传导换能器的助听和音质改善

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI: 10.1109/ICECA.2017.8203712

Arun Kumar, D. Ganesh, Sudhakar, Chinnusamy

引用次数: 2

Modeling and designing of stand-alone photovoltaic system: CaseStudy: Addis Boder health center south west Ethiopia 独立光伏系统的建模和设计:案例研究:埃塞俄比亚西南部的亚的斯亚贝德卫生中心

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI: 10.1109/ICECA.2017.8203665

Mesfin Jariso, B. Khan, Damot Tesfaye, Jitendra Singh

引用次数: 6

Epilepsy classification through multi-label dimensionality reduction through dependence maximization and elite genetic algorithm

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI: 10.1109/ICECA.2017.8203606

H. Rajaguru, S. Prabhakar

引用次数: 4

A survey on recommendation system for technical paper reviewer assignment 科技论文审稿人推荐系统的研究

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI: 10.1109/ICECA.2017.8212826

Mohini Misale, Pankaj Vanwari

{"title":"A survey on recommendation system for technical paper reviewer assignment","authors":"Mohini Misale, Pankaj Vanwari","doi":"10.1109/ICECA.2017.8212826","DOIUrl":"https://doi.org/10.1109/ICECA.2017.8212826","url":null,"abstract":"Recommendation System for Technical paper reviewer assignment is very important for many applications especially in the academic environment and industry. Previous work to build the expert finding system based on a paper title. Here we take a scenario of a conference where they need some experts who can review the paper for that we identify whether the reviewer is expert in that topic or domain to review the paper. To find the experts we are using DBLP dataset which contains the attributes such as author name, title, year, DOI, URL, publication name, etc. Based on the title and the URL we can easily get the abstract of the paper to identify the domain of a paper. Then we rank the experts based on his expertise in that domain. So we get the expert who can review the paper. Expert Finding System is a relatively new topic and is becoming popular in the literature. This paper surveys major issues and challenges related to Expert Finding System. It aims to classify and compare the strategies discussed in existing literature, as well as to provide useful information for current state and challenges of this topic and what actions need to be performed in order to come up with a better solution.","PeriodicalId":222768,"journal":{"name":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132926633","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

YCSB+T: Benchmark for transactional databases and performance YCSB+T:事务数据库和性能的基准测试

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI: 10.1109/ICECA.2017.8212845

Varun Razdan, Aman Modi, Shruti Dumbare, R. Jobanputra

{"title":"YCSB+T: Benchmark for transactional databases and performance","authors":"Varun Razdan, Aman Modi, Shruti Dumbare, R. Jobanputra","doi":"10.1109/ICECA.2017.8212845","DOIUrl":"https://doi.org/10.1109/ICECA.2017.8212845","url":null,"abstract":"Database system standard like TPC-C and TPCE concentrated on follow database applications to evaluate unlike DBMS implementations. Numbers of queries are executed carefully to train exact RDBMS properties, and account the throughput achieved. Yahoo Cloud Service Benchmark Client (YCSB). It is used to standard new cloud database systems. YCSB is already implemented for different type of NoSQL Databases. By creating “workloads” YCSB compare with different system and create bench mark for multiple systems. Different numbers of things are taken into consideration which data store should be taken for production application which includes features like basic feature, performance characteristic and data model for a present workload. It becomes very difficult to decide or to compare different data stores objectively and intelligently to make a fare decision. The Yahoo! Cloud Serving Benchmark (YCSB), is an open source framework for computing and evaluating the performances of different type of data stores. In this paper, we implement a septic workload named Closed Economy Workload (CEW), which can run within the YCSB+T framework.","PeriodicalId":222768,"journal":{"name":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133392989","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

Parallel implementation of Bellman-ford algorithm using CUDA architecture 基于CUDA架构的Bellman-ford算法并行实现

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI: 10.1109/ICECA.2017.8212794

Ganesh G Surve, M. Shah

{"title":"Parallel implementation of Bellman-ford algorithm using CUDA architecture","authors":"Ganesh G Surve, M. Shah","doi":"10.1109/ICECA.2017.8212794","DOIUrl":"https://doi.org/10.1109/ICECA.2017.8212794","url":null,"abstract":"The large graphs involving millions of vertices are common in many real life applications and are challenging to process. Now a day there are number of application like routing in telephone network, travelling Information System, Data Mining, Robotic System and its data is represented in a graph and different graph contains negative weight of edges or negative edge cycle and are inefficient to process by another single source shortest path algorithm(e.g. Dijkstra's, A∗, etc.). Data of these applications are growing every day, but we still need fast and real time response from them. At present, the serial graph algorithms have reached the time limitation as they used to take a large amount of time. Bellman-ford algorithm is the best solution to solving single source shortest path problem and which is considered to be an optimization problem in the graph theory. This paper presents a high-performance implementation of the Bellman-Ford algorithm that exploits the architectural features of recent GPU architectures of NVIDIA to improve the performance and workload efficiency. Parallel Bellman-Ford optimizations to the implementation, which are oriented both algorithms and to the architecture. In this paper, we introduce new methods which achieve the parallelizing Bellman-Ford Algorithm and to implement some extended or new versions of this algorithm over NVIDIA GPU architecture using CUDA framework. GPU provides an application programming interface to the NVIDIA architecture named as CUDA.","PeriodicalId":222768,"journal":{"name":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133480213","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: 15

Distributed data aggregation energy efficient cluster protocol based structural health monitoring 基于分布式数据聚合节能簇协议的结构健康监测

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI: 10.1109/ICECA.2017.8203738

Kriti Parashar, Kumar Rajeev Ranjan

引用次数: 3

Audio guidance system for blind 盲人音频导航系统

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI: 10.1109/ICECA.2017.8203710

M. Gharat, Rizwan Patanwala, Adithi Ganaparthi

引用次数: 16

Stream mining a review: Tool and techniques 流挖掘综述:工具和技术

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI: 10.1109/ICECA.2017.8212816

Ashish Kumar, Ajmer Singh

引用次数: 3

Debugging approaches on various software processing levels 在不同的软件处理层次上调试方法

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI: 10.1109/ICECA.2017.8212821

Shreya Srivastva, Saru Dhir

引用次数: 4