Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19最新文献_第2页

Modified S-shape microstrip antenna for wireless communication systems 用于无线通信系统的改进s形微带天线

Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19 Pub Date : 2019-06-15 DOI: 10.1145/3339311.3339334

Pooja, D. Parkash, Harbinder Singh

引用次数: 0

Comparative analysis of energy conservation schemes in wireless sensor network 无线传感器网络中节能方案的比较分析

Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19 Pub Date : 2019-06-15 DOI: 10.1145/3339311.3339352

Neha Malgotra, N. Mittal, Prabhjot Singh

引用次数: 0

Design of operational trans-conductance amplifier (OTA) using split length transistor technique 采用分长晶体管技术设计运算跨导放大器

Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19 Pub Date : 2019-06-15 DOI: 10.1145/3339311.3339353

Saumya Srivastava, T. Sharma

引用次数: 0

Application of multi agent system in supply chain for e-products of government with special reference to government e-marketplace 多主体系统在政府电子产品供应链中的应用——以政府电子市场为例

Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19 Pub Date : 2019-06-15 DOI: 10.1145/3339311.3339321

M. Darbari, H. Ahmad

引用次数: 3

Smart call forwarding and conditional signal monitoring in duos mobile 双移动智能呼叫前转和条件信号监控

Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19 Pub Date : 2019-06-15 DOI: 10.1145/3339311.3339312

Bhagya Rekha Sangisetti, S. Pabboju, Srinikhil Racha

{"title":"Smart call forwarding and conditional signal monitoring in duos mobile","authors":"Bhagya Rekha Sangisetti, S. Pabboju, Srinikhil Racha","doi":"10.1145/3339311.3339312","DOIUrl":"https://doi.org/10.1145/3339311.3339312","url":null,"abstract":"In this approach we infer the influence of a smart call forwarding service on the call connection process in modern cellular communication networks in mobiles. We analyze in detail only the case when the called user and call receiver signals strengths are low. It is proved that smart call forwarding not only increases usage of services and the percent of successful calls and prevents call drops and the call dismission. On the simple example, we showed that this call loss increase is greater in the case of local (internal) and incoming calls, but smaller in the case of outgoing calls. The reason for this conditional behavior is within the role of call forwarding operates within the case of internal and incoming signal. In this article different call forwarding techniques in LTE network are discussed. Some of these techniques have a few drawbacks such as the performance of the call forwarding mechanism depends on the channel quality and speed of the mobile node, the smart call forwarding optimizing algorithms tend to increase the switchover rate and the switchover prediction techniques cannot predict the switchover if the signal strengths are low. The survey also indicates the promising factors of the switchover mechanisms in LTE as compared to another cellular strength also this approach discusses about conditional smart call forwarding techniques affairs smart call forwarding function decreases the impact of restricted range of users on the limitation of offered signal strength, scrutiny to the case of internal and incoming signal strength without smart call forwarding. This statement is illustrated by comparison on different phone states when Idle, ringing and outgoing calls. After smart call forwarding function, and with this function when considering, separately, internal, incoming, and outgoing calls after the automatic smart call forwarding with the help of other subscriber identity number which is present in the current mobile hand set","PeriodicalId":206653,"journal":{"name":"Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132235209","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

Performance analysis of doped multi-layer graphene nanoribbon (MLGNR) interconnects at deep sub-micron nodes 深亚微米节点掺杂多层石墨烯纳米带(MLGNR)互连性能分析

Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19 Pub Date : 2019-06-15 DOI: 10.1145/3339311.3339333

Farhana Khurshid, Amandeep Sharma

引用次数: 0

Providing patient centric healthcare to diabetic patients using D-Care recommender system 使用D-Care推荐系统为糖尿病患者提供以患者为中心的医疗保健服务

Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19 Pub Date : 2019-06-15 DOI: 10.1145/3339311.3339316

Ritika Bateja, S. Dubey, A. Bhatt

引用次数: 5

Determination of minimum wage of drivers for various locations in social taxi networks 社会出租车网络中不同地点司机最低工资的确定

Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19 Pub Date : 2019-06-15 DOI: 10.1145/3339311.3339347

Aishanya Srivastava, Deepak Kumar

引用次数: 0

Deep learning based glance of real world scenes through decision tree 基于深度学习的基于决策树的真实世界场景分析

Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19 Pub Date : 2019-06-15 DOI: 10.1145/3339311.3339360

Prajakta Pawar, V. Devendran, Shivendra Singh

{"title":"Deep learning based glance of real world scenes through decision tree","authors":"Prajakta Pawar, V. Devendran, Shivendra Singh","doi":"10.1145/3339311.3339360","DOIUrl":"https://doi.org/10.1145/3339311.3339360","url":null,"abstract":"How do computers learn to recognize scene instantly? Humans classify scenes based on local features along with context and also compared with other features. A scene can be described in multiple ways and include details about objects, regions, geometry, location, activities, and even nonvisual attributes. We present a class of efficient streamlined SSD Mobilenet architecture, uses depthwise separate convolution for strong performance on COCO dataset to utilized to recognize real-world objects in Indoor-Outdoor Scene Images. In the scene analysis, the spatial properties are evaluated to generate the final linguistic interpretation and improve classification performance. In this paper, we have proposed an outdoor scene analysis system, by which decision tree rules can be learned to recognize scene categories. The major advantage of this work is by using low-level features, minimal training data, maximum accuracy of prediction analysis. This proposed methodology has been work well to overcome the outdoor scene challenges like lighting conditions and shape complexity. Scene understanding has a great impact on computer vision due to perceiving, analyzing, and interpreting the visual scene which leads to new inventions. In this paper, we present the methodology to recognize the real world scenes in different categories. This approach takes into developing a sequential hierarchy of identifying objects in the scene followed by combining spatial relationships and important scene properties.","PeriodicalId":206653,"journal":{"name":"Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131736952","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

Real-time performance analysis of retinex algorithm on embedded boards for robotics application 机器人嵌入式板上retinex算法的实时性能分析

Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19 Pub Date : 2019-06-15 DOI: 10.1145/3339311.3339326

J. Majumdar, A. C, Harshpreet Singh, R. C.

引用次数: 1