2019 4th International Conference on Information Technology (InCIT)最新文献

AppDOSI: An Application for Analyzing and Monitoring the Personal Software Process AppDOSI:一个用于分析和监控个人软件过程的应用

2019 4th International Conference on Information Technology (InCIT) Pub Date : 2019-10-01 DOI: 10.1109/INCIT.2019.8911993

Nuansri Denwattana, Apisit Saengsai, Eakachai Charoenchaimonkon

引用次数: 0

Design and Evaluation of Interactive Learning Story and User Interface Prototyping for Mobile Responsive Learning Application 面向移动响应式学习应用的交互式学习故事和用户界面原型设计与评估

2019 4th International Conference on Information Technology (InCIT) Pub Date : 2019-10-01 DOI: 10.1109/INCIT.2019.8912103

Theerakarn Phunkaew, Chanakarn Phandan, C. Wongwatkit

引用次数: 3

InCIT 2019 List of Reviewers InCIT 2019审稿人名单

2019 4th International Conference on Information Technology (InCIT) Pub Date : 2019-10-01 DOI: 10.1109/incit.2019.8912031

引用次数: 0

Class Attendance Recording using QR Code via Smartphone 智能手机二维码考勤

2019 4th International Conference on Information Technology (InCIT) Pub Date : 2019-10-01 DOI: 10.1109/INCIT.2019.8912099

Amonpan Chomklin, Lalita Na Nongkhai, Pak Padungpattanadis

引用次数: 7

Application of Large Neighborhood Search and Differential Evolution for Solving Vehicle Routing Problem in Post Office Delivery for the post office, Chiang Rai branch 大邻域搜索和差分进化在解决邮局投递车辆路径问题中的应用

2019 4th International Conference on Information Technology (InCIT) Pub Date : 2019-10-01 DOI: 10.1109/INCIT.2019.8912052

Nuttachat Wisittipanit

{"title":"Application of Large Neighborhood Search and Differential Evolution for Solving Vehicle Routing Problem in Post Office Delivery for the post office, Chiang Rai branch","authors":"Nuttachat Wisittipanit","doi":"10.1109/INCIT.2019.8912052","DOIUrl":"https://doi.org/10.1109/INCIT.2019.8912052","url":null,"abstract":"Transportation cost accounts for approximately half of the total operational expense for a logistics entity such that it should possess decent solutions to manage transportation to reduce the cost. A post office is the logistics establishment that has to manage a group of delivery vehicles where its current routing solution might not be effective, relying on skills of delivery drivers which could lead to unnecessary consumption of fuel; thus, determining the optimal vehicle routing to deliver parcels, known as Vehicle Routing Problem (VRP), could help save its cost greatly. This study used Evolutionary-based algorithms, Differential Evolution (DE) combined with Large Neighborhood Search (LNS) to find optimal routing for delivery vehicles belonging to the Chiang Rai post office, Thailand. The approach was applied to the routing of two vehicles responsible for one delivery zone in urban Chiang Rai area. The results showed that such optimization method had the average total distance per day per vehicle of 19.43 km, ~32.7% lower than that of current routing employed by the post office, given that 29 days of data for vehicle routing were tracked. The proposed combined method could be used as an effective decision-maker in the routing process for the post office.","PeriodicalId":407992,"journal":{"name":"2019 4th International Conference on Information Technology (InCIT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128518186","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

Power Allocation for Sum Rate Maximization in 5G NOMA System with Imperfect SIC: A Deep Learning Approach 不完全SIC下5G NOMA系统中求和速率最大化的功率分配:深度学习方法

2019 4th International Conference on Information Technology (InCIT) Pub Date : 2019-10-01 DOI: 10.1109/INCIT.2019.8911864

Worawit Saetan, S. Thipchaksurat

引用次数: 21

InCIT 2019 Author Index InCIT 2019作者索引

2019 4th International Conference on Information Technology (InCIT) Pub Date : 2019-10-01 DOI: 10.1109/incit.2019.8912041

引用次数: 0

A Novel Hierarchical Edge Computing Solution Based on Deep Learning for Distributed Image Recognition in IoT Systems 基于深度学习的物联网系统分布式图像识别分层边缘计算解决方案

2019 4th International Conference on Information Technology (InCIT) Pub Date : 2019-10-01 DOI: 10.1109/INCIT.2019.8912138

Nitis Monburinon, S. Zabir, Natthasak Vechprasit, S. Utsumi, N. Shiratori

{"title":"A Novel Hierarchical Edge Computing Solution Based on Deep Learning for Distributed Image Recognition in IoT Systems","authors":"Nitis Monburinon, S. Zabir, Natthasak Vechprasit, S. Utsumi, N. Shiratori","doi":"10.1109/INCIT.2019.8912138","DOIUrl":"https://doi.org/10.1109/INCIT.2019.8912138","url":null,"abstract":"Traditionally, IoT systems utilize cloud computing platforms for ease of deployment. However, such platforms are resource-intensive, relatively expensive, and lead to longer response time due to network latency. Hence, cloud computing may not always be suitable for unusually large scale deployment. Various edge computing solutions have been proposed to overcome the above issues. However, most of such solutions rely upon expensive edge servers, which make them unsuitable for distributed applications like image recognition in agricultural fields. In this paper, we propose a hierarchical edge computing-based image recognition system in which the major processing is carried out at low-cost gateway devices like Raspberry Pi. As an example case, we address the issue of recognition of animals intruding in agricultural fields. We implement a dynamic learning method, in which a convolutional neural network is dynamically trained to recognize potential target classes based on a specific deployment environment. The AI detection module is then loaded on to the lowest level of edge servers on gateway devices for detection of animals and providing feedback. Experiments show that our proposed recognition system can perform offline image classification tasks with up to seven times higher accuracy and more than two times faster evaluation time in comparison with general-purpose cloud recognition systems. Besides, it consumes less than 6% of the network bandwidth and only a fraction of the energy as well as other computational resources compared with existing approaches.","PeriodicalId":407992,"journal":{"name":"2019 4th International Conference on Information Technology (InCIT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121174084","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

Rehabilitation Exercise Prescription on Android System Android系统的康复运动处方

2019 4th International Conference on Information Technology (InCIT) Pub Date : 2019-10-01 DOI: 10.1109/INCIT.2019.8912113

Yotanut Maliwan, Tanabodin Chiencharoentanakij, Nuttapon Sornanunkul, T. Tantidham

{"title":"Rehabilitation Exercise Prescription on Android System","authors":"Yotanut Maliwan, Tanabodin Chiencharoentanakij, Nuttapon Sornanunkul, T. Tantidham","doi":"10.1109/INCIT.2019.8912113","DOIUrl":"https://doi.org/10.1109/INCIT.2019.8912113","url":null,"abstract":"The rehabilitation exercise prescription (Rehab-X) aims to develop Android mobile applications dividing into Rehab-X doctor for manipulating patients’ visiting records and exercise prescriptions and Rehab-X patient for viewing of the exercise prescription and watching exercise video.To prescribe an exercise prescription, exercise pose information must be added to the system. The exercise poses are separated into two types: symptom and body part and each type is classified into stretching and strengthening. Each exercise also has an associated video for a demonstration to patients. The exercise prescription includes the exercise photos, step by step descriptions, and the QR code that links to the demonstration video for each exercise pose. Moreover, the doctor can specify each exercise pose with a duration period for each time and the number of times to do per day. After all, the system creates the exercise prescription in a PDF file and saves it in a particular patient’s medical record as well as generates a QR (Quick Response) code for the patient to scan and view the exercise prescription via his/her own Android smartphone. This paper describes Rehab-X and programming techniques which can be applied for issuing any further medical prescriptions on Android smartphone system.","PeriodicalId":407992,"journal":{"name":"2019 4th International Conference on Information Technology (InCIT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127914070","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

Physical Activity Recognition Using Streaming Data from Wrist-worn Sensors 使用腕戴式传感器的流数据进行身体活动识别

2019 4th International Conference on Information Technology (InCIT) Pub Date : 2019-10-01 DOI: 10.1109/INCIT.2019.8912130

Katika Kongsil, J. Suksawatchon, U. Suksawatchon

引用次数: 2