2020 Zooming Innovation in Consumer Technologies Conference (ZINC)最新文献_第7页

Design and Evaluation of a Real-time Pedestrian Detection System for Autonomous Vehicles 自动驾驶车辆实时行人检测系统的设计与评价

2020 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161768

K. Pranav, J. Manikandan

{"title":"Design and Evaluation of a Real-time Pedestrian Detection System for Autonomous Vehicles","authors":"K. Pranav, J. Manikandan","doi":"10.1109/ZINC50678.2020.9161768","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161768","url":null,"abstract":"Design and development of autonomous vehicles capable of moving safely on roads by sensing the environment has motivated researchers to focus on design of pedestrian detection systems. Similarly, Convolution Neural Networks (CNN) is considered as one of the preferred image classification algorithms. Most of the papers reported in literature employ standard object detector modules available online for pedestrian detection. Design of a real-time pedestrian detection system using CNN for autonomous vehicles is proposed and the system is designed from scratch without using any standard module available. The performance evaluation of proposed system is carried out using INRIA dataset, PETA–CUHK dataset and realtime video input. The CNN parameters were also tuned to achieve best possible recognition accuracy. Recognition accuracies ranging between 96.73 – 100% is obtained on using the system, based on dataset employed. The results obtained are also compared with the results reported in literature and the system designed can be considered on par with those reported in literature. The proposed real-time pedestrian detection system can also be employed as driver assistance system for non-autonomous vehicles.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"58 8 1","pages":"155-159"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85455881","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

Applying Survival Analysis for Customer Retention: A U.S. Regional Mobile Service Operator 应用生存分析为客户保留:一个美国区域移动服务运营商

2020 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161811

Tristan Lim

{"title":"Applying Survival Analysis for Customer Retention: A U.S. Regional Mobile Service Operator","authors":"Tristan Lim","doi":"10.1109/ZINC50678.2020.9161811","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161811","url":null,"abstract":"Customer retention is of importance, as the mobile industry experiences an average of 30-35 percent annual churn rate and it costs 5-10 times more to recruit a new customer than to retain an existing one. In this study, we investigate customer churn in a medium size U.S. mobile service operator (telco) with approximately 1 million subscribers. The operator is experiencing about 5% drop off rate every month, which implied that more than half of the company’s customers at the beginning of the year, are gone by the end of the year. The company aims to identify potential churned customers ahead of time and offer them appropriate incentives to entice them to stay. In order to study this, survival analysis was conducted. In this study, nonparametric Kaplan Meier estimator was used to estimated survival probabilities. Key determinants for further investigation were identified using the Walds Test and LogWorth size estimators. Further tests to identify the risk of churn were conducted using the semi-parametric Cox Proportional Hazard model to simultaneously evaluate the effect of covariates on survival and churn risk between the sub-covariates. The study identified the targeting of the top 62% of the customers for optimal benefit, and recommended appropriate actionable insights to implement a loyalty program. Through the understanding of the determinants of customer churning behavior, the prediction of which customers are most likely to leave, and the expected duration of customers who have yet to churn, the company can conduct pertinent marketing and promotional efforts to encourage customers to remain with the company for enhanced profitability. The findings of this study can be applied in supplier convergent triple-or-quad-play services, and form a useful guide to the industry implementation of data analytics survival analysis back-end platform, as part of a larger customer acquisition, development and retention analytics solution in mobile service operators.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"83 1","pages":"338-342"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83991121","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: 5

The Recognition of Bimodal Produced Speech based on Multi-style Training 基于多风格训练的双峰生成语音识别

2020 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161815

J. Galic, B. Markovic

引用次数: 0

DesignChain: A Smart Contract-based Customized Production Model DesignChain:基于智能合约的定制生产模式

2020 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161430

Nursena Baygin, M. Baygin, M. Karakose

引用次数: 2

One Solution of DVB Software Demultiplexer Adaptation for Timestamped Transport Stream 时间戳传输流DVB软件解复用器适配的一种解决方案

2020 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161817

Radenko Banović, Ilija Basěević, M. Popovic, Nemanja Fimic

引用次数: 0

Instant Tracking-Based Approach for Interior Décor Planning with Markerless AR 基于即时跟踪的无标记AR室内运输规划方法

2020 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161789

S. Sridhar, Sowmya Sanagavarapu

{"title":"Instant Tracking-Based Approach for Interior Décor Planning with Markerless AR","authors":"S. Sridhar, Sowmya Sanagavarapu","doi":"10.1109/ZINC50678.2020.9161789","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161789","url":null,"abstract":"There is an increase in the demand for the interior décor planning industry. Although initially used for extravagant events, the facilities have become gradually availed by everyone. The applications of Augmented Reality could potentially transform this industry by making it more convenient for consumers to plan their home and office interiors in their own time on their phone or system. This application would help in designing and planning the floor space virtually with a range of options available for selection. The implemented system works by using not just the images captured by the camera on the device, rather by using the orientation of the camera with respect to the ground plane that has to be detected. The Maxst SDK performs instant tracking to find the relative distance between the camera and the plane by focusing on the ground plane. This gives a more realistic view for the consumer to judge their fit efficiently with the dimensions of items, and save the manual work of moving furniture. The implemented system is evaluated for its deployment time for various models and performance under different distances.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"89 1","pages":"103-108"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82249105","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: 7

GPU-enabled Framework for Modelling, Simulation and Planning of Mobile Networks in Smart Cities 支持gpu的智能城市移动网络建模、仿真和规划框架

2020 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161773

N. Petrovic, Samir Koničanin, Dejan N. Milic, S. Suljovic, S. Panic

引用次数: 8

Ocean Surface State Monitoring with Drifters Array 用漂船阵列监测海洋表面状态

2020 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161797

I. Shirokov, A. Mironov, A. N. Grekov

引用次数: 0

Comparative Analysis of Techniques for Testing Object Oriented Programs 面向对象程序测试技术的比较分析

2020 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161799

Tamara Zivkovic, M. Zivkovic

引用次数: 5

Automotive Data Traffic Filtering and Classification with Finding Errors 基于查找错误的汽车数据流量过滤和分类

2020 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161816

Luka Roguljić, M. Vranješ, M. Milosevic, D. Samardzija

{"title":"Automotive Data Traffic Filtering and Classification with Finding Errors","authors":"Luka Roguljić, M. Vranješ, M. Milosevic, D. Samardzija","doi":"10.1109/ZINC50678.2020.9161816","DOIUrl":"https://doi.org/10.1109/ZINC50678.2020.9161816","url":null,"abstract":"Due to the rapid development of automotive technology and the rapid increase in number of advanced driver assistance systems (ADAS) in today’s vehicles, the amount of automotive data traffic is significantly rising day by day. Finding errors and disrupted messages in vehicle communication network is crucial part of vehicle safety system, as well as the safety of the whole its environment. The focus of this paper is analyzing the automotive data traffic transmitted via the CAN bus in the vehicle. The proposed software solution parses the.asc log which contains all the traffic data on the bus. The software solution filters and classifies messages according to their names and routing direction, and according to the routing rules in the network that are described in the routing scenario. Furthermore, proposed solution finds errors by looking for irregularities in data block and checking the response time of the message. As a result of the software solution, a report is given in form of.xlsx file. Based on this report, it is possible to analyze the communication and take steps to improve future communication. The proposed solution is created in Python script language and has features of modularity and upgradability since it is created in modules that can be modified independently of other modules. Verification was carried out within the software solution so that different cases were created by entering anomalies into the.asc file. The results of the verification are positive and meet the requirements set prior to making the solution itself. The proposed solution solves the problem of displaying dry data so that all data read from the bus is filtered, classified and displayed in graphical form for easier analysis of the data itself.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"30 1","pages":"201-206"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78298417","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