2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)最新文献_第10页

Online handwritten Gujarati character recognition using SVM, MLP, and K-NN 在线手写古吉拉特字符识别使用支持向量机，MLP，和K-NN

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI: 10.1109/ICCCNT.2017.8203926

V. A. Naik, A. Desai

引用次数: 28

Energy optimized routing for wireless sensor network using elitist genetic algorithm 基于精英遗传算法的无线传感器网络能量优化路由

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI: 10.1109/ICCCNT.2017.8204110

Jaya Mishra, Jaspal Bagga, Siddhartha Choubey, I. Gupta

引用次数: 4

Diode based multi mode MTCMOS 8T adder for wake up noise minimization in 90nm CMOS technology 基于二极管的多模MTCMOS 8T加法器在90纳米CMOS技术中唤醒噪声最小化

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI: 10.1109/ICCCNT.2017.8203909

P. Agrawal, Anjan Kumar, M. Pattanaik

{"title":"Diode based multi mode MTCMOS 8T adder for wake up noise minimization in 90nm CMOS technology","authors":"P. Agrawal, Anjan Kumar, M. Pattanaik","doi":"10.1109/ICCCNT.2017.8203909","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8203909","url":null,"abstract":"Conventional MTCMOS technique is an efficient method for minimizing leakage current in sleep mode but it gives rise to a new problem i.e. wake up noise during active mode transition which gives the wrong output as well as reduces the lifetime of circuits. Wake up noise produce during OFF mode to ON mode transition which is an important challenge for MTCMOS circuits. Here a diode based multi mode 16 bit 8T full adder design is proposed for reducing this wake up noise and leakage current. In proposed technique we use a additional body biased based high Vth parallel pMOS for reduction of peak amplitude of wake up noise during active mode transition will also provide a way to control the leakage current in sleep mode due to stacking effect. The MTCMOS 16 bit 8T full adder design reduces the peak amplitude of wake up noise efficiently by 97.17% and reduce leakage current by 84.74% as compare to tri-mode MTCMOS technique and 16.81% reduced as compare to Dual switch MTCMOS technique To evaluate the significance of the proposed technique, the simulation has been performed for 16-bit 8T full adder circuit using tanner EDA with 90nm standard CMOS technology.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"43 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86795360","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

A two-stage approach of named-entity recognition for crime analysis 犯罪分析中命名实体识别的两阶段方法

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI: 10.1109/ICCCNT.2017.8203949

Priyanka Das, A. Das

{"title":"A two-stage approach of named-entity recognition for crime analysis","authors":"Priyanka Das, A. Das","doi":"10.1109/ICCCNT.2017.8203949","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8203949","url":null,"abstract":"Crime against women in India is on increase over the past few years and enormous crime reports are being generated everyday. But it is difficult to manually access the crime reports to derive useful information that can provide insights to the law enforcement officers for analysing the crime trends. The present work emphasizes on a simple yet efficient two stage approach for analysing crime against women in India. Initially, the proposed framework extracts crime reports from online newspaper articles. Once the data is collected, the first stage approach provides an interesting aspect by identifying named entities like name of states, cities, person etc. from the dataset and a collection of top ten entities of various categories is ranked according to their frequency of occurrence. The preliminary assessment shows feasible results which are also compared with crime records drawn from National Crime Records Bureau. However, the identified subtypes of entities are mostly ignored whereas dealing only with the basic entities fails to provide in-depth recognition of crime trends. So considering the subtypes can really provide the prerequisites for finer distinction in the field of crime data mining. The second stage approach in the present work considers the sub-types of named entities as ‘Modus Operandi’ features (mode of operation) of the crime that caters exquisite perception of the crime performed against women in India. Though lot of research exists on crime analysis, considering modus operandi features is very less. The present work demonstrates the effectiveness of the method with high recall and precision for the identified named entities.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"6 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86810291","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: 6

Dynamic and temporal user profiling for personalized recommenders using heterogeneous data sources 使用异构数据源的个性化推荐的动态和临时用户分析

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI: 10.1109/ICCCNT.2017.8203963

G. Krishnan, Sowmya S Kamath

{"title":"Dynamic and temporal user profiling for personalized recommenders using heterogeneous data sources","authors":"G. Krishnan, Sowmya S Kamath","doi":"10.1109/ICCCNT.2017.8203963","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8203963","url":null,"abstract":"In modern Web applications, the process of user-profiling provides a way to capture user-specific information, which then serves as a source for designing personalized user experiences. Currently, such information about a particular user is available from multiple online sources/services, like social media applications, professional/social networking sites, location based service providers or even from simple Web-pages. The nature of this data being truly heterogeneous, high in volume and also highly dynamic over time, the problem of collecting these data artifacts from disparate sources, to enable complete user-profiling can be challenging. In this paper, we present an approach to dynamically build a structured user profile, that emphasizes the temporal nature to capture dynamic user behavior. The user profile is compiled from multiple, heterogeneous data sources which capture dynamic user actions over time, to capture changing preferences accurately. Natural language processing techniques, machine learning and concepts of the semantic Web were used for capturing relevant user data and implement the proposed “3D User Profile”. Our technique also supports the representation of the generated user profiles as structured data so that other personalized recommendation systems and Semantic Web/Linked Open Data applications can consume them for providing intelligent, personalized services.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"100 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85788197","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

Spatiotemporal saliency and sub action segmentation for human action recognition 人类动作识别的时空显著性与子动作分割

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI: 10.1109/ICCCNT.2017.8204134

A. Babu, A. Shyna

引用次数: 0

ASIC design of IIR butterworth digital filter for electrocardiogram IIR心电图巴特沃斯数字滤波器的ASIC设计

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI: 10.1109/ICCCNT.2017.8203905

R. Chauhan, R. Mehra, Shallu

引用次数: 3

Feasibility study of machine vision for diagnosis of multiple sclerosis 机器视觉诊断多发性硬化症的可行性研究

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI: 10.1109/ICCCNT.2017.8203942

P. M. Arabi, Gayatri Joshi, T. Prathibha, N. Vamshadeepa

引用次数: 1

EDOF: An open framework for event detection systems EDOF:用于事件检测系统的开放框架

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI: 10.1109/ICCCNT.2017.8204155

Manisha Samanta, Y. Meena, A. P. Mazumdar, M. C. Govil

引用次数: 1

A novel method for semi transparency effect in academic videos 一种制作学术视频半透明效果的新方法

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI: 10.1109/ICCCNT.2017.8203984

Pavan Dongare, M. Sridevi

引用次数: 1