2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)最新文献_第7页

ByteFreq: Malware clustering using byte frequency ByteFreq:使用字节频率的恶意软件集群

2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2016-09-01 DOI: 10.1109/ICRITO.2016.7784976

Nirmal Singh, S. S. Khurmi

引用次数: 4

Case based organizational memory for processing architecture based on measurement metadata 用于处理基于度量元数据的体系结构的基于案例的组织内存

2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2016-09-01 DOI: 10.1109/ICRITO.2016.7784954

Maria de los Ángeles Martín, M. Diván

{"title":"Case based organizational memory for processing architecture based on measurement metadata","authors":"Maria de los Ángeles Martín, M. Diván","doi":"10.1109/ICRITO.2016.7784954","DOIUrl":"https://doi.org/10.1109/ICRITO.2016.7784954","url":null,"abstract":"With the aim to manage and retrieve the organizational knowledge, in the last years numerous proposals of models and tools for knowledge management and knowledge representation have arisen. However, most of them store knowledge in a non-structured or semi-structured way, hindering the semantic and automatic processing of this knowledge. In this paper we present a summary of an case-based organizational memory ontology, which aims at contributing to the design of an organizational memory based on cases, so that it can be used to learn, reasoning, solve problems, and as support to better decision making as well. The objective of this Organizational Memory is to serve as base for the organizational knowledge exchange in a processing architecture specialized in the measurement and evaluation. One key aspect associated with the measurement process is that the measures must be consistent and comparable in any moment for making decisions properly. In this way, the processing architecture is based on the C-INCAMI framework (Context-Information Need, Concept model, Attribute, Metric and Indicator) to define the measurement projects. Additionally, the proposal architecture uses a big data repository to make available the data for consumption and to manage the Organizational Memory, which allows a feedback mechanism in relation with online processing. The relation between the data stream processing, the big data repository and the Organizational Memory will be shown. In order to illustrate its utility a practical case associated with the weather radar (WR) of the Experimental Agricultural Station (EAS) INTA Anguil (La Pampa State, Argentina) is shown. Also future trends and concluding remarks are outlined.","PeriodicalId":377611,"journal":{"name":"2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134087100","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: 8

Security issues in Wireless Sensor Network — A review 无线传感器网络中的安全问题综述

2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2016-09-01 DOI: 10.1109/ICRITO.2016.7784988

J. Grover, Shikha Sharma

{"title":"Security issues in Wireless Sensor Network — A review","authors":"J. Grover, Shikha Sharma","doi":"10.1109/ICRITO.2016.7784988","DOIUrl":"https://doi.org/10.1109/ICRITO.2016.7784988","url":null,"abstract":"Wireless Sensor Networks (WSNs) are formed by deploying as large number of sensor nodes in an area for the surveillance of generally remote locations. A typical sensor node is made up of different components to perform the task of sensing, processing and transmitting data. WSNs are used for many applications in diverse forms from indoor deployment to outdoor deployment. The basic requirement of every application is to use the secured network. Providing security to the sensor network is a very challenging issue along with saving its energy. Many security threats may affect the functioning of these networks. WSNs must be secured to keep an attacker from hindering the delivery of sensor information and from forging sensor information as these networks are build for remote surveillance and unauthorized changes in the sensed data may lead to wrong information to the decision makers. This paper studies the various security issues and security threats in WSNs. Also, gives brief description of some of the protocols used to achieve security in the network. This paper also compares the proposed methodologies analytically and demonstrates the findings in a table. These findings can be used further by other researchers or Network implementers for making the WSN secure by choosing the best security mechanism.","PeriodicalId":377611,"journal":{"name":"2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132429245","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: 49

Using sentimental analysis in prediction of stock market investment 情感分析在股市投资预测中的应用

2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2016-09-01 DOI: 10.1109/ICRITO.2016.7785019

S. Khatri, Ayush Srivastava

引用次数: 23

Comparison of text mining tools 文本挖掘工具的比较

2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2016-09-01 DOI: 10.1109/ICRITO.2016.7784950

Arvinder Kaur, Deepti Chopra

引用次数: 31

Metaheuristic based workflow scheduling in cloud environment 云环境下基于元启发式的工作流调度

2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2016-09-01 DOI: 10.1109/ICRITO.2016.7785017

Sunil Kumar, S. Mittal, Manpreet Singh

引用次数: 5

Use case point estimation technique in software development 软件开发中的用例点估计技术

2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2016-09-01 DOI: 10.1109/ICRITO.2016.7784938

S. Khatri, S. Malhotra, P. Johri

引用次数: 12

Improved approach for software defect prediction using artificial neural networks 基于人工神经网络的软件缺陷预测改进方法

2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2016-09-01 DOI: 10.1109/ICRITO.2016.7785003

Tanvi Sethi, Gagandeep

{"title":"Improved approach for software defect prediction using artificial neural networks","authors":"Tanvi Sethi, Gagandeep","doi":"10.1109/ICRITO.2016.7785003","DOIUrl":"https://doi.org/10.1109/ICRITO.2016.7785003","url":null,"abstract":"Software defect prediction (SDP) is a most dynamic research area in software engineering. SDP is a process used to predict the deformities in the software. To identifying the defects before the arrival of item or aimed the software improvement, to make software dependable, defect prediction model is utilized. It is always desirable to predict the defects at early stages of life cycle. Hence to predict the defects before testing the SDP is done at end of each phase of SDLC. It helps to reduce the cost as well as time. To produce high quality software, the artificial neural network approach is applied to predict the defect. Nine metrics are applied to the multiple phases of SDLC and twenty genuine software projects are used. The software project data were collected from a team of organization and their responses were recorded in linguistic terms. For assessment of model the mean magnitude of relative error (MMRE) and balanced mean magnitude of relative error (BMMRE) measures are used. In this research work, the implementation of neural network based software defect prediction is compared with the results of fuzzy logic basic approach. In the proposed approach, it is found that the neural network based training model is providing better and effective results on multiple parameters.","PeriodicalId":377611,"journal":{"name":"2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115290786","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

Selection of distributed generation system using multicriteriadecision making fuzzy TOPSIS optimization 分布式发电系统选择采用多准则决策模糊TOPSIS优化

2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2016-09-01 DOI: 10.1109/ICRITO.2016.7784931

V. S. Galgali, G. Vaidya, M. Ramachandran

{"title":"Selection of distributed generation system using multicriteriadecision making fuzzy TOPSIS optimization","authors":"V. S. Galgali, G. Vaidya, M. Ramachandran","doi":"10.1109/ICRITO.2016.7784931","DOIUrl":"https://doi.org/10.1109/ICRITO.2016.7784931","url":null,"abstract":"Distributed Generations (DG) are modular power generating technologies that are located near the load centers. DGs help avoid the expensive long distance transmission of power which is expensive and lossful while providing certain relief to the central power grid. They can be reliable and environmental friendly. DGs can prove beneficial for the local economies, enhance the energy independence, provides lowcost electricity at the same time providing access to liberalized generation markets for the concerned distribution utilities. There is wide range of DG options available. When presented with wide range of DG options selecting the correct one can prove to be daunting task. In this paper Multi-Criteria Decision Making (MCDM) technique which is increasingly popular is used for ranking DG systems. The DG systems considered in this paper are reciprocating engines (RE), micro turbine (MT), fuel cell (FC), solar PV (PV) and wind turbine (WT) while the criteria used for ranking are cost, minimum starting time, noise, emission level and continuity. The analysis is done with the aid of MCDM technique employing Fuzzy TOPSIS while weight values of the criteria are determined using the Interval Shannon's Entropy methodology. As per results obtained the first criterion in preference ranking of DG systems is PV, followed by FC, RE, MT and WT.","PeriodicalId":377611,"journal":{"name":"2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122904541","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

Model of database design in the conditions of limited resources 有限资源条件下的数据库设计模型

2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2016-09-01 DOI: 10.1109/ICRITO.2016.7784927

Y. Klochkov, E. Klochkova, O. Antipova, E. Kiyatkina, I. Vasilieva, E. Knyazkina

引用次数: 41