2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)最新文献_第7页

Saving and Loan Information System of Cempaka Cooperative Web Based 基于Web的Cempaka合作社存贷款信息系统

2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2018-08-01 DOI: 10.1109/ICRITO.2018.8748603

Elena Caroline, Mira Ziveria

引用次数: 1

Comparative Analysis of Security Threats in Mobile Cloud Computing Environment 移动云计算环境下安全威胁对比分析

2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2018-08-01 DOI: 10.1109/ICRITO.2018.8748761

Vishal, Bikrampal Kaur, S. Jangra

{"title":"Comparative Analysis of Security Threats in Mobile Cloud Computing Environment","authors":"Vishal, Bikrampal Kaur, S. Jangra","doi":"10.1109/ICRITO.2018.8748761","DOIUrl":"https://doi.org/10.1109/ICRITO.2018.8748761","url":null,"abstract":"MCC (Mobile cloud computing) is a growing technology which obtained enhanced popularity due to the production and large-scale compilation of personal individual data. Nevertheless, novel security problems occur while MCC provides big data analysis with management services. MCC combines the cloud computing into the smart phone environment and hence overcome the barrier such as battery life, storage and bandwidth. In this paper, we are providing the survey of MCC that is useful to the reader to understand the definition, general overview. The advantages, challenges, and security issues are discussed. The communication protocol named as end to end along with their two types viz. TCP/IP (Transmission control protocol/internet protocol) with UDP (User datagram protocol) protocols are presented along with their properties, limitations and challenges. The concept of load balancing used in MCC is also discussed. At the last, the results analysis is given on the basis of two parameters named as energy consumption and resource utilization for different load condition.","PeriodicalId":439047,"journal":{"name":"2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"4 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":"126385844","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

Prototype Proposal for IoT based Two-Wheeler Ignition and Security Enhancements 基于物联网的两轮车点火和安全增强的原型提案

2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2018-08-01 DOI: 10.1109/ICRITO.2018.8748557

Sanjoy Banerjee, A. Pal, D. Sengupta

引用次数: 2

Accurate Real-Time Location Map Matching Algorithm for Large Scale Trajectory Data 大比例尺轨迹数据的精确实时位置地图匹配算法

2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2018-08-01 DOI: 10.1109/ICRITO.2018.8748745

Kanta Prasad Sharma, R. Poonia, S. Sunda

引用次数: 1

Remote Online Voting Systemusing Aneka Platform 使用Aneka平台的远程在线投票系统

2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2018-08-01 DOI: 10.1109/ICRITO.2018.8748809

Karishma Varshney, R. Johari, R. Ujjwal

引用次数: 1

Forecasting Direction of Stock Index Using Two Stage Hybridization of Machine Learning Models 基于机器学习模型两阶段杂交的股票指数方向预测

2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2018-08-01 DOI: 10.1109/ICRITO.2018.8748530

P. Misra, S. Chaurasia

{"title":"Forecasting Direction of Stock Index Using Two Stage Hybridization of Machine Learning Models","authors":"P. Misra, S. Chaurasia","doi":"10.1109/ICRITO.2018.8748530","DOIUrl":"https://doi.org/10.1109/ICRITO.2018.8748530","url":null,"abstract":"Accurate forecasting of directional changes in stock prices is essential for trading decisions. This study attempts to predict the direction of movement for the next day for S&P BSE Sensex index. Experiments are done in two phases. The first stage provided the direction classification that is whether predicted movement is up or down based on six technical indicators distinctly. Indicators are calculated as per their definition by using daily trading data of open, high, low, close and volume. Stage two takes in the processed discretized data for predictions from stage one. The accuracy of both stages for each model is evaluated and compared. Experimental results show significant improvement of the combined model over single-pass model hence supporting the assumption that conversion from continuous to discrete form based on indicators filter more noise than relevant information and provides an effective mechanism of dimensionality reduction. Random forest provided the best accuracy which is closely followed by support vector and artificial neural network.","PeriodicalId":439047,"journal":{"name":"2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"44 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":"126478708","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

Analysis and Comparison of Process Mining Algorithms with Application of Process Mining in Intrusion Detection System 过程挖掘算法的分析与比较及过程挖掘在入侵检测系统中的应用

2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2018-08-01 DOI: 10.1109/ICRITO.2018.8748748

V. P. Mishra, Joanita Dsouza, Laura Elizabeth

{"title":"Analysis and Comparison of Process Mining Algorithms with Application of Process Mining in Intrusion Detection System","authors":"V. P. Mishra, Joanita Dsouza, Laura Elizabeth","doi":"10.1109/ICRITO.2018.8748748","DOIUrl":"https://doi.org/10.1109/ICRITO.2018.8748748","url":null,"abstract":"Process mining assumes to find, screen and improve the genuine procedures through picking up understanding from the log events which are promptly accessible in the existing data framework. It gives the missing connection between one hand process, demonstrate examination and information arranged, investigation and then again execution and conformance. In this manuscript, we have discussed the process mining and intrusion detection concepts and compared the various algorithms which have been used in process mining. We have also discussed the application of process mining approach to detect the intrusions. Traditional information mining procedures, for example, characterization, grouping, relapse, affiliation administer learning, and arrangement/scene mining doesn't concentrate on the business process models and it is regularly used to advancement in the general procedure. Process mining centers around end-to-end forms and is conceivable in view of the developing accessibility of occasion information and developing the new processes and conformance checking with enhancement of the existing processes.","PeriodicalId":439047,"journal":{"name":"2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"4 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":"116952179","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: 12

optimization of Cluster Head Selection in Hierarchical Clustered Sensor Networks 分层聚类传感器网络簇头选择的优化

2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2018-08-01 DOI: 10.1109/ICRITO.2018.8748716

Japman Kaur Dhaliwal, S. Saxena

{"title":"optimization of Cluster Head Selection in Hierarchical Clustered Sensor Networks","authors":"Japman Kaur Dhaliwal, S. Saxena","doi":"10.1109/ICRITO.2018.8748716","DOIUrl":"https://doi.org/10.1109/ICRITO.2018.8748716","url":null,"abstract":"Wireless Sensor Networks as a field in wireless communication is thriving and it comprises of a collection of spatially distributed autonomous sensors that are employed for monitoring the physical and environmental changes. But, these sensor nodes have energy limitations and to overcome this limitation, there is a need for energy efficient techniques which improve the performance of the network. Clustering ensures uniform deployment of nodes and data aggregation by the cluster head (CH). Major proportion of energy is taken up while transmitting aggregated data to the base station (BS) via the CH, so in the proposed work, a Super Cluster Head (SCH) is used which directly communicates with the mobile BS, thereby reducing the load on CHs. LEACH-Type-2 Fuzzy Logic based technique improves the network lifespan considerably by optimizing the SCH selection process with Type-2 Fuzzy Logic. SCH selection is done based on chance factor computed by fuzzy parameters namely distance of the SCH to the BS, centrality and remaining battery. Simulation results demonstrate that the proposed LEACH-Type-2 technique provides better results than LEACH-Fuzzy technique and leads to improvement in the network lifetime.","PeriodicalId":439047,"journal":{"name":"2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"18 9 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":"124250417","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

IOT Based Fire Fighting Robot 基于物联网的消防机器人

2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2018-08-01 DOI: 10.1109/ICRITO.2018.8748619

Megha Kanwar, A. L

{"title":"IOT Based Fire Fighting Robot","authors":"Megha Kanwar, A. L","doi":"10.1109/ICRITO.2018.8748619","DOIUrl":"https://doi.org/10.1109/ICRITO.2018.8748619","url":null,"abstract":"With the advancement in the field of mechanical technology, human interruption has become less and robots are being utilized for various works and for welfare of beings. Nowdays, fire mischances keep happenings frequently, cause danger to human life and property, also cause difficulties to fire fighters to save lives. In such cases, a firefighting robot is utilized to protect human lives, wealth, and surroundings from the fire mishappenings. This model is an IOT based firefighting robot that detects fire. After being informed the authorities can start visualizing the fire location and can communicate with people stuck with a help of an automatic receiver installed. Instructions can be given to the robot regarding its movement, turning on its water pump or carbon-dioxide pump depending on fire type through long distances. The fire type and carbon-monoxide level is known using the sensors installed that provide a graph to make the analysis. The analysis is also useful to further give information to safety authorities regarding amount of poisonous gases inhaled over a time period by the occupants of the affected area so they can take appropriate actions to undo the harm.","PeriodicalId":439047,"journal":{"name":"2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"16 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":"115361321","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: 17

Improving Classification Accuracy of Automated Text Classifiers 提高自动文本分类器的分类精度

2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2018-08-01 DOI: 10.1109/ICRITO.2018.8748498

Shivam Rastogi

{"title":"Improving Classification Accuracy of Automated Text Classifiers","authors":"Shivam Rastogi","doi":"10.1109/ICRITO.2018.8748498","DOIUrl":"https://doi.org/10.1109/ICRITO.2018.8748498","url":null,"abstract":"The number of textual documents is increasing at an incredible rate and very often, there is a need to classify these documents into some fixed predefined categories automatically. Since the classification is being done automatically, the classifier needs to be a good classifier so that there are as less misclassifications as possible. Therefore, the classification accuracy is very important and needs to be taken care of. There are various factors that can affect the classification accuracy of classifiers. One of the factors is the Feature Selection method used to reduce the number of features in the documents. Information Gain (IG) is one of the most popular measures employed for this task but there are few shortcomings in this measure of evaluating the useful words for classification. In this paper, a new measure is proposed which eliminates those shortcomings and thus finds the better words which are more useful in the classification task. The new proposed measure aims to find those words which have more discriminating power than others and therefore, it is named as Discriminating Power (DP). We have also compared the results of using IG measure and DP measure for text classification and the results show that new proposed measure takes almost same time as IG measure but still improves the average classification accuracy of a text classifier and is much more consistent or stable in its classification accuracy when count of features to be selected is varied.","PeriodicalId":439047,"journal":{"name":"2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"327 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":"115463028","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