2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)最新文献_第9页

Big data classification with quantum multiclass SVM and quantum one-against-all approach 基于量子多类支持向量机和量子单对全方法的大数据分类

2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2016-12-01 DOI: 10.1109/IC3I.2016.7918805

Arit Kumar Bishwas, Ashish Mani, V. Palade

引用次数: 13

Recommendations through click stream: Tracking the need, current work and future directions 通过点击流提供建议:跟踪需求、当前工作和未来方向

2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2016-12-01 DOI: 10.1109/IC3I.2016.7918058

Shalini Gupta, Mayank Rawat

引用次数: 3

Representation of speech signals using Hartley group delay function 用Hartley群延迟函数表示语音信号

2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2016-12-01 DOI: 10.1109/IC3I.2016.7917974

K. Narendra, R. K. Swamy

引用次数: 0

A comparative study on code-mixed data of Indian social media vs formal text 印度社交媒体语码混合数据与正式文本对比研究

2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2016-12-01 DOI: 10.1109/IC3I.2016.7918035

Prakash Ranjan, B. Raja, R. Priyadharshini, R. Balabantaray

引用次数: 20

An analytical model to design and manage green access networks to CPE node CPE节点绿色接入网络设计与管理的分析模型

2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2016-12-01 DOI: 10.1109/IC3I.2016.7918802

V. Jain, P. Ranjan, M. Tripathy

{"title":"An analytical model to design and manage green access networks to CPE node","authors":"V. Jain, P. Ranjan, M. Tripathy","doi":"10.1109/IC3I.2016.7918802","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7918802","url":null,"abstract":"Across broadband access networks, significant opportunities to minimise energy consumption exist at the application and networks level but are not fully coordinated. For example, an application can tune its QoS in accordance with the available power levels of network systems. As a first step towards enabling energy efficiency, we study the interrelationship between energy consumption and application performance in a residential home-gateway. The study reveals the power and application performance trade-offs in broadband access networks and then employs an agent based approach that works together in accordance with a flexible set of power-performance objectives and determines the existence of a feasible coordinated operating point. The key elements of our approach include (a) a power-performance polygon-based methodology which automatically selects power management settings that keep the pathway from access network to home-gateway operating close to the optimal operating point (b) a multi-agent policy-based approach which adaptively manages performance and power consumption based on varying traffic load during peak/off-peak hours. Finally, the efficiency of the model is demonstrated by the initial results of the experiments.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120962112","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

Prognosis of diabetes using fuzzy inference system and multilayer perceptron 基于模糊推理系统和多层感知器的糖尿病预后预测

2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2016-12-01 DOI: 10.1109/IC3I.2016.7917969

R. P. Ambilwade, R. Manza

{"title":"Prognosis of diabetes using fuzzy inference system and multilayer perceptron","authors":"R. P. Ambilwade, R. Manza","doi":"10.1109/IC3I.2016.7917969","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7917969","url":null,"abstract":"Nowadays, due to busy lifestyle of people, ignorance and tolerance of symptoms, slowly develops diabetes. It cause when body stops producing enough insulin which is essential to control the blood sugar. The amount of high sugar level affects vital organs of the body like kidney, heart, and brain. The diagnosis of diabetes typically confirmed on the basis of increased glucose level in the blood. Symptoms and risk factors also play a major role for diagnosis. Such kind of medical diagnosis problem can be solved by combining the fuzzy systems and neural network. This paper presents the novel approach for prognosis of type-2 diabetes & prediabetes using FIS and MLP. The FIS used here for predicting the initial risk of prediabetes and type-2 diabetes using blood tests, to measure the sugar/glucose levels in different situations like fasting, post meal and random glucose. The output of the FIS, related symptoms, and risk factors are used to train the perceptron network, which results in one of the class as non-diabetes, prediabetes and type-2 diabetes. The proposed model is trained and tested on 385 patient's data and gives 91% accuracy of classification, specificity about 94% and sensitivity 91%. This proposed system will helps the medical practitioner for diagnosis of diabetes.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121141247","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

Load balancing in cloud computing: Challenges & issues 云计算中的负载平衡:挑战与问题

2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2016-12-01 DOI: 10.1109/IC3I.2016.7917945

S. Joshi, U. Kumari

引用次数: 25

Developing the static fire danger index using geospatial technology 利用地理空间技术建立静态火灾危险指数

2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2016-12-01 DOI: 10.1109/IC3I.2016.7918026

K. Babu, A. Roy, P. Prasad

{"title":"Developing the static fire danger index using geospatial technology","authors":"K. Babu, A. Roy, P. Prasad","doi":"10.1109/IC3I.2016.7918026","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7918026","url":null,"abstract":"Forest fires in Uttarakhand state have considerable economic, social and environmental impacts on humans and biodiversity. Forest fire danger indices are important tools for mitigating and suppressing forest fires, but, operational fire danger index system has not been developed for the India. In general, Fire danger indices have been developed based on the parameters which are associated for the cause of ignition, spreading of forest fires. These properties include forest fuel type, topographic conditions and moisture conditions. Vegetation and topographic conditions are static, i.e. they do not change frequently, whereas moisture conditions are dynamic. Dynamic properties such as air temperature, relative humidity, wind speed changes regularly in a day. In this study, Static Fire danger Index has been developed using MODIS Land cover type yearly L3 global 500 m SIN grid (MCD12Q1) and ASTER GDEM datasets. International Geosphere-Biosphere Programme (IGBP) land cover type has been generated from MCD12Q1, which has been used to compute the forest fuel type index based on historical fire data. Slope danger index, Aspect danger index, Elevation danger index and Terrain rugged Index has been computed from the ASTER GDEM datasets. Finally, Static Fire Danger Index has been developed by integrating the above mentioned indices. Estimated accuracy of static fire danger index was around 95%, i.e. developed static fire danger index was accurately model the fire danger over the study area.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126385095","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

Verification of interactive automated air traffic control system in a model driven approach 基于模型驱动方法的交互式自动空中交通管制系统验证

2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2016-12-01 DOI: 10.1109/IC3I.2016.7918799

H. K. Jnanamurthy, F. Henskens, David J. Paul

{"title":"Verification of interactive automated air traffic control system in a model driven approach","authors":"H. K. Jnanamurthy, F. Henskens, David J. Paul","doi":"10.1109/IC3I.2016.7918799","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7918799","url":null,"abstract":"Nowadays, Model-Driven Architectures (MDAs) are gaining more popularity because they offer an increase in productivity by improving compatibility between systems (reuse of standardized models), simplifying the activity of design and supporting interaction between individuals and different development teams working on the system. Development of MDA software systems requires high integrity, with verification before deployment in critical applications. Verifying different properties of the system at the beginning of the development is highly desirable as the first line of defense against design faults. In this paper, we have modeled an Automated Air Traffic Control System (AATCS) using MDA and converted into the Process Meta Language (PROMELA) model, which is used by Simple Promela Interpreter (SPIN) model checker for verification. The entities in our model are Airplane, Ground Station, SWIM data and Data store. The communication between entities is modeled as transitions. The AATCS PROMELA model is checked for a state of consistency with its specifications to detect flaws using formal techniques to improve reliability and quality.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128240701","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

Openstack-paradigm shift to open source cloud computing & its integration 开源模式向开源云计算及其集成的转变

2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2016-12-01 DOI: 10.1109/IC3I.2016.7917944

Shubham Awasthi, A. Pathak, Lovekesh Kapoor

引用次数: 4