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2019 4th International Conference on Information Systems and Computer Networks (ISCON)最新文献

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A Proposed Model: Linearly Extensible Triplet Network (LETN) 线性可扩展三重网络(LETN)模型
2019 4th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2019-11-01 DOI: 10.1109/ISCON47742.2019.9036154
Varsha Kumari, Aprna Tripathi, Nikhil Govil, Sandhya Pundhir
{"title":"A Proposed Model: Linearly Extensible Triplet Network (LETN)","authors":"Varsha Kumari, Aprna Tripathi, Nikhil Govil, Sandhya Pundhir","doi":"10.1109/ISCON47742.2019.9036154","DOIUrl":"https://doi.org/10.1109/ISCON47742.2019.9036154","url":null,"abstract":"Past few years, there has been keen interest over computation power and scalability of the computer system. The computation power can be increased massively in two ways either in terms of optimizing hardware by increasing the number of processor (nodes) or in terms of optimizing software by structuring the program in such a way that the large task is subdivided into independent subtasks (load). The scheduling and mapping of tasks on the set of processors has significant role in parallel and distributed computing system. The scheduling problem involves assigning a balanced task to each processor according to its performance capabilities. It also minimizes communication overhead in the network. To speed up computation power, a linearly scalable triplet based multiprocessor architecture (network) has been proposed here. It has been designed to meet the current trends in achieving high computation power in multiprocessor architecture. It allows the extension of the network by adding new subsystems of three processors at a time which increases the parallel computation. The properties and task Allocation algorithm of proposed model has been discussed deeply. By discussion and comparison authors come to the conclusion that proposed model is better and is need of the time.","PeriodicalId":124412,"journal":{"name":"2019 4th International Conference on Information Systems and Computer Networks (ISCON)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124828251","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
Analysis: Various Load Balancing Competencies for Data Centres 分析:数据中心的各种负载平衡能力
2019 4th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2019-11-01 DOI: 10.1109/ISCON47742.2019.9036186
Prasad Velpula, R. Pamula
{"title":"Analysis: Various Load Balancing Competencies for Data Centres","authors":"Prasad Velpula, R. Pamula","doi":"10.1109/ISCON47742.2019.9036186","DOIUrl":"https://doi.org/10.1109/ISCON47742.2019.9036186","url":null,"abstract":"Use of Information Technology is increasing daily, thus there's a requirement of storage and calculating tools such as jog. Substantial quantities of information adapting within the Web and have been produced has to necessitate the quantities of tools. Several organizations are profoundly requiring virtualization systems such as cloud-computing etc., to exhibit their own infrastructure capacities also to advertise their own funding. Amounts of end users can access internet software in any time period virtually. It will become an endeavor for your own internet app to react and deal with these consumer requests. As a result of media traffic that is significant it ends in procedure accident or operation lag. There must be a considered described way to supports users and to defeat those bottlenecks. Balancing is also to be considered while using the proper method of distributing computing tools and workloads. This method ensures utmost at as well as throughput response period. This paper introduces a questionnaire on various load balancing approaches.","PeriodicalId":124412,"journal":{"name":"2019 4th International Conference on Information Systems and Computer Networks (ISCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123310954","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
Two-Class Classification: Comparative Experiments for Chronic Kidney Disease 两类分类:慢性肾脏疾病的比较实验
2019 4th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2019-11-01 DOI: 10.1109/ISCON47742.2019.9036306
Ahmad Amni Johari, M. H. Abd Wahab, A. Mustapha
{"title":"Two-Class Classification: Comparative Experiments for Chronic Kidney Disease","authors":"Ahmad Amni Johari, M. H. Abd Wahab, A. Mustapha","doi":"10.1109/ISCON47742.2019.9036306","DOIUrl":"https://doi.org/10.1109/ISCON47742.2019.9036306","url":null,"abstract":"Over two million of population across worldwide is currently depending on dialysis treatment or a kidney transplant to survive from kidney disease. Therefore, it is imperative for health agencies such as hospitals or insurance companies to predict the probabilities of patients who suffers from chronic case of kidney diseases, hence requiring medical attentions. This study performs a comparative experiment on prediction of chronic kidney disease via a classification methodology. Two supervised classification algorithms are used to build the classification model, which are Two-Class Decision Forest and Two-Class Neural Networks. Experimental results showed that Neural Network performed better based on all features but Decision Forest produced optimal performance with high accuracy, and precision as compared to Neural Networks and other algorithms from the literature such as K-Nearest Neighbor, Support Vector Machine, and Rule Induction.","PeriodicalId":124412,"journal":{"name":"2019 4th International Conference on Information Systems and Computer Networks (ISCON)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123714277","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
Efficient Use of Data Centres - Factors Affecting Service Availability in Large Organisations based on IT and Data Centre Selection 数据中心的有效使用-基于IT和数据中心选择的大型组织中影响服务可用性的因素
2019 4th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2019-11-01 DOI: 10.1109/ISCON47742.2019.9036235
T. Townsend, M. Mohammadian, Blooma John
{"title":"Efficient Use of Data Centres - Factors Affecting Service Availability in Large Organisations based on IT and Data Centre Selection","authors":"T. Townsend, M. Mohammadian, Blooma John","doi":"10.1109/ISCON47742.2019.9036235","DOIUrl":"https://doi.org/10.1109/ISCON47742.2019.9036235","url":null,"abstract":"IT services are an increasingly critical part of conducting business and everyday life, the IT systems and data centres that host them are also improving. The relationship between how IT systems are designed and where they are placed between an array of different data centre options makes it a challenge to plan for appropriate levels of uptime for the services being provided. The current IT landscape provides organisations to target required availability of services in an effort to reduce costs and waste while meeting there required service levels. However, reference architectures for designing IT services often fail to take the data centre into account, while the design standards of data centres typically only take the power and cooling specifications into consideration and not the configuration of the IT infrastructure or the nature of the services they host. This paper shows that by spreading a highly available IT system between data centres of various tier ratings, as opposed to placing the same highly available IT system within a standalone data centre, superior levels of service availability can be achieved while potentially utilising lower cost of data centres.","PeriodicalId":124412,"journal":{"name":"2019 4th International Conference on Information Systems and Computer Networks (ISCON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115204780","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
Breast Cancer Histopathology Image Classification using AlexNet 基于AlexNet的乳腺癌组织病理学图像分类
2019 4th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2019-11-01 DOI: 10.1109/ISCON47742.2019.9036160
A. Titoriya, Shelly Sachdeva
{"title":"Breast Cancer Histopathology Image Classification using AlexNet","authors":"A. Titoriya, Shelly Sachdeva","doi":"10.1109/ISCON47742.2019.9036160","DOIUrl":"https://doi.org/10.1109/ISCON47742.2019.9036160","url":null,"abstract":"Deep learning has achieved high performance in many fields like image classification, object detection etc. Recently many researchers have tried to carry out deep learning in medical image analysis. Convolutional Neural Network (CNN) has been set as a profound class of models in this field. It is a deep learning model which extracts the features of an image and then classify it. In this study, an analysis of Breast Cancer (BC) histopathology images is done using famous CNN architecture “AlexNet”. Histopathology images are the gold measure for the breast cancer diagnosis. Using deep learning for predicting breast cancer can prove to be very much effective in near future. Here a dataset, which consists 7909 images of 82 patients is used to train our model and later the image is successfully being classified. Impressive results and analysis are also achieved using this approach.","PeriodicalId":124412,"journal":{"name":"2019 4th International Conference on Information Systems and Computer Networks (ISCON)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122639659","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: 25
An Analytical Study of the Chain Based Data Collection Approaches 基于链式数据收集方法的分析研究
2019 4th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2019-11-01 DOI: 10.1109/ISCON47742.2019.9036316
Jagrati Kulshrestha, A. Ram
{"title":"An Analytical Study of the Chain Based Data Collection Approaches","authors":"Jagrati Kulshrestha, A. Ram","doi":"10.1109/ISCON47742.2019.9036316","DOIUrl":"https://doi.org/10.1109/ISCON47742.2019.9036316","url":null,"abstract":"In Wireless Sensor Networks(WSN) and Internet of Things (IoT) domain, data needs to be routed from different nodes/devices to some central controller or the processor (base station/sink). Over the years various routing protocols have been developed that tend to decrease the energy dissipation of the nodes during transmission of the data to the sink. In this work, we present a comparative study of the various chain based routing protocols present in the literature. This work also presents a concise analysis of the various aspects of these protocols.","PeriodicalId":124412,"journal":{"name":"2019 4th International Conference on Information Systems and Computer Networks (ISCON)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121878885","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
Aviation Delay Estimation using Deep Learning 基于深度学习的航空延误估计
2019 4th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2019-11-01 DOI: 10.1109/ISCON47742.2019.9036276
Reshma Boggavarapu, Pooja Agarwal, Rohith Kumar D.H
{"title":"Aviation Delay Estimation using Deep Learning","authors":"Reshma Boggavarapu, Pooja Agarwal, Rohith Kumar D.H","doi":"10.1109/ISCON47742.2019.9036276","DOIUrl":"https://doi.org/10.1109/ISCON47742.2019.9036276","url":null,"abstract":"Flight delays cause wastage of time and money to airports, airlines and passengers. Estimation of delays and factors affecting delays help in significant reduction of losses in aviation industry on daily basis. Taking advantage of historical Airline data, weather data at various locations and deep learning algorithms, we can achieve better real time results. In this paper, the model has been trained using the Air traffic data: Flight On-Time performance data obtained from U.S Bureau of Transportation statistics and Weather data: Daily Summaries data obtained from NOAA - National Oceanic and atmospheric administration. The dataset created is a combination of Flight schedules and weather information over a period of 12 months. A deep learning algorithm known as Gated Recurrent Unit network has been proposed due to the recurrent and time-series nature of dataset.","PeriodicalId":124412,"journal":{"name":"2019 4th International Conference on Information Systems and Computer Networks (ISCON)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116619485","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
Consumer Privacy Concerns over Free Cloud Services 消费者对免费云服务的隐私担忧
2019 4th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2019-11-01 DOI: 10.1109/ISCON47742.2019.9036296
Inderpreet Singh, Sonia Saini, R. Bathla
{"title":"Consumer Privacy Concerns over Free Cloud Services","authors":"Inderpreet Singh, Sonia Saini, R. Bathla","doi":"10.1109/ISCON47742.2019.9036296","DOIUrl":"https://doi.org/10.1109/ISCON47742.2019.9036296","url":null,"abstract":"We, as consumers, use and appreciate a lot of the mobile apps that are free and help us in our daily lives. These apps range from online stores, navigation apps, social media, mobile banking, games and a lot more. We don't even wonder what the terms of service and privacy policy of these services say when we sign up for them. We don't even know what and when can these apps access. Some apps and services misuse this trust and collect more data than they should so that they can sell that data later. This generation of apps and services run mostly on our smartphones but as more and more devices get “Smart” and connect to the internet, these concerns are going to increase if not checked right now. This paper provides a framework which can help consumers and organisations avoid these concerns and function smoothly.","PeriodicalId":124412,"journal":{"name":"2019 4th International Conference on Information Systems and Computer Networks (ISCON)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116860931","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
A Review on Automatic Classification of Breast Cancer Using Supervised Learning Strategies 基于监督学习策略的乳腺癌自动分类研究进展
2019 4th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2019-11-01 DOI: 10.1109/ISCON47742.2019.9036261
M. Vasudev, Amit Doegar, Varun Gupta
{"title":"A Review on Automatic Classification of Breast Cancer Using Supervised Learning Strategies","authors":"M. Vasudev, Amit Doegar, Varun Gupta","doi":"10.1109/ISCON47742.2019.9036261","DOIUrl":"https://doi.org/10.1109/ISCON47742.2019.9036261","url":null,"abstract":"Breast cancer is the most perilous disease affecting women throughout the world from generations. Modern methodologies and developing approaches are focused on complete and confined rehabilitation of breast malignancy. Complete treatment of breast cancer is possible if it can be identified in the early stages of diagnosis as there is no indication of breast cancer in about 90% of cases. To improve this factor, medical image classification is used in recent years, where tissue images are classified into cancerous and non-cancerous. Many researchers have proposed different approaches to achieve better recognition of breast cancer in initial stages with a very low error rate using medical image classification. These methodologies are studied in this paper to gain state-of-the-art. It is observed that different machine learning and deep learning-based breast cancer classification techniques are widely proposed by researchers. These techniques are effective but still have a scope of improvement.","PeriodicalId":124412,"journal":{"name":"2019 4th International Conference on Information Systems and Computer Networks (ISCON)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117043085","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
Capacity Enhancement of Femtocell Femtocell的容量增强
2019 4th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2019-11-01 DOI: 10.1109/ISCON47742.2019.9036248
Priyanshu Kumar Verma, V. Kishan, S. P. Singh, L. M.
{"title":"Capacity Enhancement of Femtocell","authors":"Priyanshu Kumar Verma, V. Kishan, S. P. Singh, L. M.","doi":"10.1109/ISCON47742.2019.9036248","DOIUrl":"https://doi.org/10.1109/ISCON47742.2019.9036248","url":null,"abstract":"As more than 50% of voice and more than 70% data applications starts from indoor. Therefore, Femtocells which is an indoor deployment has been presented as one of the important technologies to achieve the requirement of ever-growing data rate. However, spectrum scarcity has been always regarded as most challenging issue of wireless communication. This paper proposes an approach to utilize the given spectrum using fractional order of Fractional Fourier Transform (FrFT) in turn to increase the spectrum efficiency. ITU-R model and COST-231 model have been used for analysis of the proposed system. Results have been simulated in Matalab-14.","PeriodicalId":124412,"journal":{"name":"2019 4th International Conference on Information Systems and Computer Networks (ISCON)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126363495","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
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