Platonic Investigations最新文献_第10页

FACT - Fine grained Assessment of web page CredibiliTy 事实-网页可信度的细粒度评估

Platonic Investigations Pub Date : 2019-10-01 DOI: 10.1109/TENCON.2019.8929515

Shriyansh Agrawal, L. Sanagavarapu, Y. Reddy

{"title":"FACT - Fine grained Assessment of web page CredibiliTy","authors":"Shriyansh Agrawal, L. Sanagavarapu, Y. Reddy","doi":"10.1109/TENCON.2019.8929515","DOIUrl":"https://doi.org/10.1109/TENCON.2019.8929515","url":null,"abstract":"With more than a trillion web pages, there is a plethora of content available for consumption. Search Engine queries invariably lead to overwhelming information, parts of it relevant and some others irrelevant. Often the information provided can be conflicting, ambiguous, and inconsistent contributing to the loss of credibility of the content. In the past, researchers have proposed approaches for credibility assessment and enumerated factors influencing the credibility of web pages. In this work, we detailed a WEBCred framework for automated genre-aware credibility assessment of web pages. We developed a tool based on the proposed framework to extract web page features instances and identify genre a web page belongs to while assessing it's Genre Credibility Score ($GCS$). We validated our approach on ‘Information Security’ dataset of 8,550 URLs with 171 features across 7 genres. The supervised learning algorithm, Gradient Boosted Decision Tree classified genres with 88.75% testing accuracy over 10 fold cross-validation, an improvement over the current benchmark. We also examined our approach on ‘Health’ domain web pages and had comparable results. The calculated $GCS$ correlated 69% with crowdsourced Web Of Trust ($WOT$) score and 13% with algorithm based Alexa ranking across 5 Information security groups. This variance in correlation states that our $GCS$ approach aligns with human way ($WOT$) as compared to algorithmic way (Alexa) of web assessment in both the experiments.","PeriodicalId":36690,"journal":{"name":"Platonic Investigations","volume":"56 1","pages":"1088-1097"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76769773","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

Bias stress induced threshold voltage shift in buckled thin film transistors 屈曲薄膜晶体管中偏置应力引起的阈值电压偏移

Platonic Investigations Pub Date : 2019-10-01 DOI: 10.1109/TENCON.2019.8929275

Aswathi R. Nair, V. Anand, S. Sambandan

引用次数: 0

Pattern Recognition Tool For Detection and Classification of Power System Transients 电力系统暂态检测与分类的模式识别工具

Platonic Investigations Pub Date : 2019-10-01 DOI: 10.1109/TENCON.2019.8929457

M. V. Chilukuri, Tan Sih Sin

{"title":"Pattern Recognition Tool For Detection and Classification of Power System Transients","authors":"M. V. Chilukuri, Tan Sih Sin","doi":"10.1109/TENCON.2019.8929457","DOIUrl":"https://doi.org/10.1109/TENCON.2019.8929457","url":null,"abstract":"Multiresolution time-frequency analysis has been an important field in the signal processing especially for developing pattern recognition techniques for health monitoring and diagnostics. In the last two decade, several algorithms have been applied successfully for power quality analysis, condition monitoring and biomedical signal processing. However, in the most of the studies the research has been limited to specific algorithm and application. In this paper, the authors present a Time-Frequency analysis tool developed for the study of Pattern Recognition problem. It was developed using MATLAB GUI with several Time-frequency algorithms such as S-Transform, Hyperbolic S-Transform, and TT Transform for comparative studies. The developed tool has been successfully applied for the pattern recognition of Power System Transients. Simulations were performed to study the efficacy of the tool for various power system transients such as Load Switching, Motor Starting, Lightning, Capacitor Energization and Back-to-Back Switching. A simple rule-based was developed using Time-Frequency features for detection and classification of various power system transients. The tool also maps the power system transients on CBEMA/ITC curve highlighting the nature of disturbance. The simulation results demonstrate that developed pattern recognition tool was efficient and useful for the study of partial discharges and acoustic signals for developing smart health monitoring system.","PeriodicalId":36690,"journal":{"name":"Platonic Investigations","volume":"44 1","pages":"1661-1666"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78418420","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 Blockchain-Based Approach for Usage Based Insurance and Incentive in ITS 基于区块链的智能交通使用保险和激励方法

Platonic Investigations Pub Date : 2019-10-01 DOI: 10.1109/TENCON.2019.8929322

P. Singh, Roshan Singh, Gwmsrang Muchahary, Mridutpal Lahon, Sukumar Nandi

{"title":"A Blockchain-Based Approach for Usage Based Insurance and Incentive in ITS","authors":"P. Singh, Roshan Singh, Gwmsrang Muchahary, Mridutpal Lahon, Sukumar Nandi","doi":"10.1109/TENCON.2019.8929322","DOIUrl":"https://doi.org/10.1109/TENCON.2019.8929322","url":null,"abstract":"With the increasing number of vehicles on the road, the insurance market for vehicular insurance is also increasing. There has been a massive proliferation in the number of policy taken by the drivers over the year. The traditional vehicular insurance processes used by the insurance companies rely on analyzing the history of the behaviors of the drivers for deciding the suitable premium amount to be paid by the vehicles. Usage-Based Insurance (UBI), which is based on telematics, turns out to be a modern and effective approach for providing insurance to the vehicles. Unlike the traditional approach, the premiums in the UBI are calculated based on the current behavior of the drivers. Moreover, there exists a lack of transparency in the processing of the claims, which not only results in delays of receiving the claims but also leads to a number of frauds. Decentralized technology such as blockchain turns out to be an effective solution for the problems mentioned above. In this work, we propose a blockchain-based framework for vehicular UBI and incentives in ITS. We demonstrate and analyze the feasibility of our work with proper experimental testbed setup.","PeriodicalId":36690,"journal":{"name":"Platonic Investigations","volume":"40 1","pages":"1202-1207"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75398640","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

Detection of Motor Deficits in Children with Autism Spectrum Disorder using FTT 用FTT检测自闭症谱系障碍儿童的运动缺陷

Platonic Investigations Pub Date : 2019-10-01 DOI: 10.1109/TENCON.2019.8929552

Zaibunnisa L. H. Malik, Pooja Raundale

引用次数: 0

Tumor Growth Modeling and Estimation of Changes with Respect to Cytotoxic Drugs 肿瘤生长模型和细胞毒性药物变化的估计

Platonic Investigations Pub Date : 2019-10-01 DOI: 10.1109/TENCON.2019.8929486

Bobbili Medha, Durgam Chandana, Veldandi Sowmya, W. W. Godfrey, Gaurav Kaushal, J. Dhar

引用次数: 0

Fish Detection and Tracking in Pisciculture Environment using Deep Instance Segmentation 基于深度实例分割的养鱼环境中鱼类检测与跟踪

Platonic Investigations Pub Date : 2019-10-01 DOI: 10.1109/TENCON.2019.8929613

C. Arvind, R. Prajwal, Prithvi Bhat, A. Sreedevi, K. N. Prabhudeva

{"title":"Fish Detection and Tracking in Pisciculture Environment using Deep Instance Segmentation","authors":"C. Arvind, R. Prajwal, Prithvi Bhat, A. Sreedevi, K. N. Prabhudeva","doi":"10.1109/TENCON.2019.8929613","DOIUrl":"https://doi.org/10.1109/TENCON.2019.8929613","url":null,"abstract":"This study presents a novel approach in detecting and tracking of fish in pisciculture. Pisciculture in general involves challenging tasks of counting and monitoring fish in natural or nature like, man-made habitats such as inland fisheries for breeding, feeding and sorting purposes. These are presently achieved using conventional methods that are inefficient when implemented in large-scale commercial productions. To overcome such difficulties and improve the efficiency of the processes, images of fish and fish seeds are captured in natural murky water habitats through a vision sensor on board an unmanned aerial vehicle (UAV). In this research paper, a deep instance segmentation algorithm called Mask R-CNN along with GOTURN tracking algorithm is employed for real time fish detection and tracking. A comparison study is also carried out (i) fish detection on high resolution images (ii) fish detection on high resolution image multi-region parallel processing (iii) fish detection on high resolution image multi-region parallel processing with tracking. The results are found to be accurate with image multi-region parallel processing along with tracking, with an F1 score of 0.91 at 16 frames per seconds on in-land fishes environment.","PeriodicalId":36690,"journal":{"name":"Platonic Investigations","volume":"68 1","pages":"778-783"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72867970","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: 14

Evaluation of Electric Fields inside the Steel Reinforced Concrete Building due to a Nearby Lightning Strike to Ground 近地雷击对钢筋混凝土建筑物内部电场的影响

Platonic Investigations Pub Date : 2019-10-01 DOI: 10.1109/TENCON.2019.8929424

V. Hegde, V. Shivanand

引用次数: 0

Performance Evaluation of ROS Local Trajectory Planning Algorithms to Social Navigation 面向社会导航的ROS局部轨迹规划算法性能评价

Platonic Investigations Pub Date : 2019-10-01 DOI: 10.1109/LARS-SBR-WRE48964.2019.00035

F. Pimentel, P. Aquino

引用次数: 5

Low-Frequency Effectiveness of Differential Detection for Electro-optic Sensor System 电光传感器系统差分检测的低频有效性

Platonic Investigations Pub Date : 2019-10-01 DOI: 10.1109/TENCON.2019.8929287

Mei Okajima, Takafumi Ogawa, M. Shinagawa, Yoshinori Matsumoto, Jun Katsuyama, Yoshiaki Tanaka

引用次数: 1