下一代 Pub Date : 2016-10-01 DOI: 10.1109/INCITE.2016.7857636

Tripti Agrawal, A. Singhal, Shikha Agarwal

{"title":"A comparative study of potential of various social networks for target brand marketing","authors":"Tripti Agrawal, A. Singhal, Shikha Agarwal","doi":"10.1109/INCITE.2016.7857636","DOIUrl":"https://doi.org/10.1109/INCITE.2016.7857636","url":null,"abstract":"Social Networks are imperative source of data analysis due to availability of data in high volume. Data available on these social networks have diverse features and utilities for different organizations. Marketing of brands on social networks is a vital step for business organizations these days. Customer brand perceptions and their purchasing decisions are highly influenced by web communications and social networking services. There are many business organizations who are marketing their brands on every social network with the aim of driving high user traffic but in actual, they are facing low user engagement towards their brand posts. It has also been observed that there are business organizations that still consider only Twitter and Facebook for brand marketing ignoring potential of other social networks. Thus, the aim of study is to analyze potential of various social networks in enhancing user engagement level for various brands and also finding reasons for variation in the user engagement level for same brands on different social networks. The present paper gives an insight to business organizations in enhancing their marketing strategy on suitable social networks. A case study has been given to compare and highlight potential of various social networks in increasing user engagement for brand information.","PeriodicalId":59618,"journal":{"name":"下一代","volume":"8 1","pages":"305-311"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75495402","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

Design of a compact triple band-notch flower-shaped hexagonal microstrip patch antenna 一种紧凑的三带陷波花型六边形微带贴片天线的设计

下一代 Pub Date : 2016-10-01 DOI: 10.1109/INCITE.2016.7857634

Sayed Arif Ali, D. Jhanwar, Dhirendra Mathur

引用次数: 1

Performance evaluation of segmenting images using improved FELICM based gray stretch 基于改进FELICM的灰度拉伸图像分割性能评价

下一代 Pub Date : 2016-10-01 DOI: 10.1109/INCITE.2016.7857601

Ritambhra Vaid, N. Bawa

引用次数: 0

CSplineT: A cubic spline based target tracking protocol for wireless sensor networks CSplineT:基于三次样条的无线传感器网络目标跟踪协议

下一代 Pub Date : 2016-10-01 DOI: 10.1109/INCITE.2016.7857631

Tauseef Ahmad, A. Abbas

引用次数: 1

NTRP: Novel approach for DUT testing based on nonintrusive timing randomization probes using SystemC verification library NTRP:采用SystemC验证库的基于非侵入式时序随机化探针的被测件测试新方法

下一代 Pub Date : 2016-10-01 DOI: 10.1109/INCITE.2016.7857632

Nishit Gupta, Sunil Alag

{"title":"NTRP: Novel approach for DUT testing based on nonintrusive timing randomization probes using SystemC verification library","authors":"Nishit Gupta, Sunil Alag","doi":"10.1109/INCITE.2016.7857632","DOIUrl":"https://doi.org/10.1109/INCITE.2016.7857632","url":null,"abstract":"To meet the rapidly transforming computing requirement of System on Chip (SoC), On-Chip Interconnect BUS specifications is been evolved continuously from single-channel one-way, serial, in-order, shared BUS communication system to complex multi-channel, burst based, out-of-order, separate read/ write/ address BUS communication system. This resulted in development of several industry standard verification methodologies using Hardware Description Languages particularly System Verilog like Universal Verification Methodology (UVM) facilitating constrained randomization based stimulus generation and functional coverage. Adopting such methodologies involves its know-how to get accustomed, recurring licensing charges and simulation overhead. In this work, for stress testing of Design Under Test (DUT), a novel approach is proposed based on Bus Cycle Accurate Nonintrusive Timing Randomization Probes (NTRP) using SystemC Verification (SCV) Library. Based on empirical results, it is argued that the annotations proposed in the work using NTRP causes little overhead, however provides convenient approach for adding timing delays to the interface of DUT including other advantages particularly — transactions reordering for better BUS utilization, selective constrained randomization on interface signal timing, score boarding for self-checking, little simulation overheads and no licensing terms, being based on Open Source SCV, makes it convenient to adopt for DUT testing.","PeriodicalId":59618,"journal":{"name":"下一代","volume":"75 1","pages":"282-287"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85852861","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

Internet of Things with mruby 物联网与mruby

下一代 Pub Date : 2016-10-01 DOI: 10.1109/INCITE.2016.7857606

Avinash Dev Nagumanthri, Kazauki Tanaka

引用次数: 3

Performance analysis of GPON network for maximum Q-FACTOR and minimum BER for various fiber length using uniform fiber Bragg's grating 采用均匀光纤布拉格光栅的GPON网络在不同光纤长度下最大q因子和最小误码率的性能分析

下一代 Pub Date : 2016-10-01 DOI: 10.1109/INCITE.2016.7857625

Sanjeev Verma, Amayika Kakati, M. Tripathy, Aran Kumar Singh, Sunil Kumar, H. Rana

引用次数: 4

Low-power stack pseudo domino logic using contention-alleviated precharge keeper 低功耗堆栈伪多米诺逻辑，使用减少争用的预充值器

下一代 Pub Date : 2016-10-01 DOI: 10.1109/INCITE.2016.7857614

Deepika Bansal, B. P. Singh, Ajay Kumar