Abstract Proceedings of IEEE SCAP 2013

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Abstract Proceedings of IEEE SCAP 2013

  1. 1. The 2013 IEEE Student Conference on Senior Capstone Project IEEE SCAP 2013 Faculty of Engineering Chulalongkorn University Bangkok, Thailand March 29, 2013
  2. 2. Organizing committeeAdvisory Committees Boonsom Lerdhirunwong David Banjerdpongchai Boonchai Sowanwanichakul Parames Chutima Witaya Wannasuphoprasit Ekachai Leelarasmee Arthon SinsawasdiGeneral Chair Thavatchai TayjasanantTechnical Program Chairs Panuwat Janpugdee Peerapon VateekulTechnical Program Committees Chaodit Aswakul Nakornthip Prompoon Pizzanu Kanongchaiyos Kuntinee Maneeratana Angkee Sripakagorn Boonchuay Supmonchai Arporn Teeramongkonrasmee Charnchai Pluempitiwiriyawej Haruetai Lohasiriwat Wipawee TharmmaphornphilasLocal Arrangement Chair Jitkomut SongsiriSecretary Amornrat NoicharoenWebmaster Apinun Intarachaiya ii The 2013 IEEE Student Conference on Senior Capstone Project
  3. 3. Keynote speakersTitle : “Scientists investigate what already is. Engineers create what has never been”Ekachai Leelarasmee, Chulalongkorn UniversityAbstractsEngineering is a field which applies scientific knowledge to solve real world problems ordesigning products. This talk is meant to inspire young engineers by showing a video clip―IEEE: Engineer Inspiring‖ as well as introducing some creative projects fromwww.kickstarter.com such as Pebble Watch, 3D Printer, Hidden Speaker and iOS controlledcamera. Then two development projects done at the Embedded System and Integrated CircuitDesign Laboratory (ESID) at Chulalongkorn University will be described. They are SmartMeter and Remote Solar Farm Monitoring. These two projects demonstrate how electronicsengineers apply their electrical knowledge to help the country fighting the energy problem.BiographyEkachai Leelarasmee finished his undergraduate study in electrical engineering fromChulalongkorn University in 1974 and went on to do his Ph.D at University of California,Berkeley USA in 1982. He is now an associate professor and deputy chair of studentactivities in the Department of Electrical Engineering, Chulalongkorn University. He was theIEEE Thailand Section Chair in 2010-11 and is the interim chair of the IEEE Thailand SolidState Circuit Chapter 2013. iii The 2013 IEEE Student Conference on Senior Capstone Project
  4. 4. Table of ContentsOrganizing Committees ......................................................................................................... iiKeynote Speakers................................................................................................................. iiiSection 1 Sustainable Technology Remote Agricultural Data Management System for Royal Project Foundation .............................................. 2 Tuchchai Apinuntakulchai, Apinya Phanumphai, Surapont Toomnark, Thagorn Tangmankhong, Kraikron Settakraikun (King Mongkuts University of Technology Thonburi) Online shopping mall ................................................................................................................................... 3 Parita Doungngam, Chachanok Somchit, Artit maneesri, Sirapat Chiewchanwattana (Khon Kaen University) Comparison of indoor SLAM using ceiling images with different state representations ................................. 4 Piyapat Saranrittichai, Nattee Niparnan, Attawith Sudsang (Chulalongkorn University) Fabrication of Micropore on Silicon substrate............................................................................................... 5 Krairat Mairin, Mana Sriyudthsak (Chulalongkorn University) Development of an Embedded BLDC motor controller using RS485 standard ............................................... 6 Teeratath Ariyachartphadungkit, Kanjanapan Sukvichai (Kasetsart University) An AU Golf Car: Autonomous Parking System ............................................................................................ 7 Hemmawat Yensuong, Patompong Sulsaksakul, Passaporn Rattanasetyith, Pattanan Detkrut, Pasawat Laokhonkha, Narong Aphiratsakun (Assumption University) Improved Material Removal Rate by Abrasive Water Jet Milling .................................................................. 8 Kasidet Wangvithayakul, Ukrit Jampachon, and Sataphol Wattnapornmongkol, Pairat Tangpornprasert (Chulalongkorn University)Section 2 Science and Technology Disruptions to Saccade Planning: Effects on Eye Movements ..................................................................... 10 YueYinglong, Yen Shih-Cheng, Chua fook kee, Shih-Cheng (National University of Singapore) Parallel Additive Implementation for modified Flexible Interval Representation System ............................. 11 Phoonlarp Mekraksakit, Thanisorn Thanapongsapak, Chawin Wongchindakhun, Athasit Surarerks (Chulalongkorn University) A Quadrature Current Controlled Oscillator with 250 – 700 MHz Tuning Range ........................................ 12 Radit Smunyahirun, Ekachai Leelarasmee (Chulalongkorn University) Real Time People Tracking and Collision Avoidance using Sensors Fusion for an Indoor Omni-directional Wheels Mobile Robot ................................................................................................................................ 13 Bhirawich Pholpoke, Kanjanapan Sukvichai (Kasetsart University) Design of a Phasor Measurement Unit (PMU) using FPGA ........................................................................ 14 Porjed Sakunjareanpornchai, Thirawut Fueangfu (King Mongkuts University of Technology Thonburi) Fire Infiltrating Robot with Image Acquisition: A Microcontroller based Urban Search and Rescue (USAR) Robot .......................................................................................................................................... 15 Ruth A. Silvallana, Russel L. Amado, Kristoni R. Aquino, Carmen Fe C. de Guzman, Moreno, Kendrick Kent L. (Technological Institute of the Philippines) A New Algebraically Simple Chaotic Jerk Circuit and System using Memristor Nonlinearity..................... 16 Jirayu Peetakul, Sawitee Wangthawal, Wimol Sanum (ThaiNichi Institute of Technology) An AU Golf Car: Obstacles Avoidance System .......................................................................................... 17 Ankur Agrawal, Krittamate Jirundorn, Tidarat Punyachai, and Samuel Hussain Mogakolodi, Narong Aphiratsakun (Assumption University) Stability Control of a Self-Driving Bicycle ................................................................................................. 18 Vittavat Kaewmaneekul, Sompong Jarujitjumlern, Whicha Thaitavon, Viboon Sangveraphunsiri (Chulalongkorn University) Investigating on Damping Property of Laminated Composite Materials ...................................................... 19 Thanyarat Singhanart, Kritsadaporn Thongsawang, Nattapon Kaewchalam, Nutthasan Srikwanma, Worapol Phraechinda (Chulalongkorn University)Section 3 Health and Medicine Design of an appointment system and bed management for Chemotherapy department ............................... 21 Thanakrit Thanathipanont, Achiraya Eurakarawong, Wipawee Tharmmaphornphilas (Chulalongkorn University) Individual Speech Synthesis for ChulaDAISY ............................................................................................ 22 iv The 2013 IEEE Student Conference on Senior Capstone Project
  5. 5. Sivaporn Homvanish, Thiti Watansrimongkol, Natchanon Phachongkitphiphat, Proadpran P.Punyabukkana, Atiwong Suchato (Chulalongkorn University) Real-Time Gait Analysis Using Kinect-based Motion Capture System ........................................................ 23 Pattaravut Maleehuan, Pizzanu Kanongchaiyos (Chulalongkorn University) Gait Phase Detection using Wireless Smart Shoe with Optimized Threshold by Genetic Algorithm ............ 24 Nantawat Pinkam, Itthisek Nilkhamhang (Thammasat University) Ultrasound B-scans Image Denoising via Expectation Maximization-based Unsharp Masking ................... 25 Theerawit Wilaiprasitporn, Chedsada Chinrungrueng, Widhyakorn Asdornwised (Chulalongkorn University) An Automatic System for Measuring Electrode-Skin Impedance ................................................................ 26 Prawsiri Veeranarapanich, Arporn Teeramongkonramee, Apiwat Lek-uthai (Chulalongkorn University) Computer Application using ARIMA and Simulation techniques for managing inventory in hospital .......... 27 Pattranit Khobkun, Watsa Tantiyuth, Wassachon Veerakul, Surapong Sirikulvadhana (Chulalongkorn University) Admission and Discharge Processes Improvement...................................................................................... 28 Nopparuth lurkittikul, Tanawut Supparerkapa, Tanawat Jarusiripipat, Wipawee Tharmmaphornphilas (Chulalongkorn University) Design and Manufacture Argumentative Mobility Device For Osteoarthritis patients in Thailand ................ 29 Vorapraj Chutintaranond, Wongsatorn Sathitsuksanoh, Pitchaya Sovachinda, Teerinth Changsawang, Pairat Tangpornprasert, Chanyaphan Virulsri (Chulalongkorn University) Second Ear: A Hearing Tool for People with Hearing Disability ................................................................. 30 Pattara Sukprasert, Nuttapong Phaisarn, Atiwong Suchato, Proadpran Punyabukkana (Chulalongkorn University) Design and Implementation of Surveillance Robot for Disabilities and Elderly ........................................... 31 Surainan Kahmimah, Jakapan Suaboot, Apichat Heednacram (Prince of Songkla University) Learning Causal Structures of Brain Connectivity in fMRI time series ........................................................ 32 Arnan Pongrattanakul, Puttichai Lertkultanon, Jitkomut Songsiri (Chulalongkorn University) Patient and treatment scheduling in Dermatological Outpatient Department queuing system ....................... 33 Hataipat Juthasri, Suwat Tansiriyakul, Oran Kittithreerapronchai (Chulalongkorn University)Section 4 Network and Communications An Alarm System via Social Network Services .......................................................................................... 35 Theeradet Khamperawat, Gorarit Chandhanimi, Korporn Panyim (Mahidol University) An Improvement of 3G Network Coverage with Picocell in Mahidol University ......................................... 36 Sanhapit Phatratipakorn, Thanate Srieakpanit, Korporn Panyim (Mahidol University) Performance Improvement of Wi-Fi Network in Faculty of Engineering, Chulalongkorn University ........... 37 Nipoon Sintoowong, Nonthawat Ungtrakul, Thanach Chotruangprasert, Chaodit Aswakul, Chaya Limchitti (Chulalongkorn University) Microwave Sensor with Artificial Neural Network Application .................................................................. 38 Narong Borijindargoon, Nuttapon Muangmor, Chuwong Phongcharoenpanich, Sorawat Chivapreecha (King Mongkuts Institute of Technology Ladkrabang) Development of Radio Resource Planning Program for 2G and 3G ............................................................. 39 Jiradchaya Kanjanakunchorn, Jidapa Hansawangkit, Pongsatorn Sedtheetorn (Mahidol University) Communication Emulation using DMSL/COSEM on PC............................................................................ 40 Raivin Srisamrit, Wanchalerm Pora (Chulalongkorn University) Service Quality Improvement in Telecommunication Service Encounter ..................................................... 41 Konlawat Luengrat, Kritsana Settapittayakul, Natcha Thawesaengskulthai (Chulalongkorn University) Target Location Searching Application using Ad-hoc Network ................................................................... 42 Kornkanok Khaoampai, Kamonluk Suksen, Kultida Rojviboonchai (Chulalongkorn University) Traffic sensing application using ad-hoc network ....................................................................................... 43 Korakot Sirinam, Krittin Intharawijitr, Kultida Rojviboonchai (Chulalongkorn University) A Centralized Online Network-based Intrusion Prevention System Control via Web Application ................ 44 Ekgapark Wonghirunsombat , Teewalee Asawaniwed, Vassapon Hanchana, Naruemon Wattanapongsakorn (King Mongkut‘s University of Technology Thonburi) Voice On Demand Application over Ad-hoc Network ................................................................................ 45 Jittapon Busarakum, Kultida Rojviboonchai (Chulalongkorn University) A Study on Chaos in Digital Filter and Its Application to Secure Communication ....................................... 46 RattaponThassanasateankit, WittayaJantaramatsakarn, WisarutPhompung, SorawatChivapreecha (King Mongkuts Institute of Technology Ladkrabang) v The 2013 IEEE Student Conference on Senior Capstone Project
  6. 6. Section 5 Computer and Information Technology Data Partitioning to Improve Similarity Join by Prefix Filtering Algorithm ................................................. 48 Methus Bhirakit, Jaruloj Chongstitvatana (Chulalongkom University) Automatic Screening Angle-Closure Glaucoma using Genetic Algorithm and Genetic Kernel SVM ........... 49 Paopat Ratpunpairoj, Waree Kongprawechnon, Pished Bunnun, Toshiaki Kondo (Thammasat University) Application of Combinatorial Optimization with Coincidence Algorithm for Flow shop Scheduling problem ..................................................................................................................................................... 50 Ornrumpha Srimongkolkul, Prabhas Chongstitvatana (Chulalongkorn University) 3D Game Framework for Android Platform................................................................................................ 51 Wirune Kaewjai, Thiti Rungcharoenpaisal (Dhurakij Pundit University) Development of Ground Planar Segmentation algorithm using 3D Point Clouds Information from Kenect Depth Image Camera...................................................................................................................... 52 Thanarat Chaveekolakit, Kanjanapan Sukvichai (Kasetsart University) Adaptive strategic decision point extraction from Influence maps in games ................................................. 53 Namo Podee, Vishnu Kotrajaras, Boonserm Kijsirikul (Chulalongkorn University) Tower Defence Game Project ..................................................................................................................... 54 Nattapong Rattasamut, Weerapong Siriyindee, Natasha Dejdumrong (King Mongkuts University of Technology Thonburi) Application for Publicity of promotional products online. ........................................................................... 55 Natthaporn Singmanee, Chadaporn Chiansri, Sirapat Chiewchanwattana (Khon Kaen University) Study on a National SMS HUB Solution for Bulk SMS and National Policies on SMS Regulator in Sri Lanka ................................................................................................................................................... 56 M.W. P. Maduranga , M. Gamage, Manodha Gamage (Asian Institute of Technology) Indoor Environment 3D-Image Reconstruction using Microsoft Kinect for Rescue Robot ........................... 57 Piyaphat Phukphan, Vasitphon Pawankiattikun, Toshiaki Kondo, Itthisek Nilkhamhang (Thammasat University) Multiple-CCTV monitoring system for iOS-based mobile device ................................................................ 58 Rakneung Pichitwitaya-ake, Supavadee Aramvith (Chulalongkorn University) Development of a real-time object tracking camera..................................................................................... 59 Krittin Pachtrachai, Toshiaki Kondo, Toshiaki Kondo (Thammasat University) Development of Unification Filesystem for Cloud Storage.......................................................................... 60 Worachate Apichanukul, Thanawat Suknim, Krerk Piromsopa (Chulalongkorn University) Personalized Assessment, Review and Learning System Project ................................................................. 61 Tawan Junhom, Sawaruk Sirimungklanurak, Siriwat Saiwiwat, Natasha Dejdumrong (King Mongkuts University of Technology Thonburi) Proximity Information Exchange based on NFC ......................................................................................... 62 Boripach Khuhaprema, Win Eiwwongcharoen, Supachai Vorapojpisut (Thammasat University)Section 6 Sufficiency Economy Markerless Fruit Augmented Reality .......................................................................................................... 64 Songpon Sastrawaha, Sirinad Kapoung, Kumron Sunat (Khon Kaen University) Design and Implementation of Artificial Prediction Markets Using Logarithmic Market Scoring Rules ...... 65 Pannate Jongpanichkultorn, Prabhas Chongstitvattana, Daricha Sutivong (Chulalongkorn University) Internal Rate of Return for Probabilistic Cash Flows Project ....................................................................... 66 Phatharaphan Chamnannarongsak, Daricha Sutivong (Chulalongkorn University) Factors Analysis of Bayesian-based Pricing Prediction Markets .................................................................. 67 Nattanont Olarnthatchanant, Daricha Sutivong (Chulalongkorn University) Optimizing the Liquidity Parameter of Logarithmic Market Scoring Rules Prediction Markets .................... 68 Suparerk Lekwijit, Daricha Sutivong (Chulalongkorn University) A Comparison of Moving Average and Support Vector Machine for predicting SET index ........................ 69 Poom Saowalukpan, Tanpitcha Chattrakoonpong, Oran Kittithreerapronchai (Chulalongkorn University) Thai Sign Language Recognition using Data Gloves and Motion Trackers .................................................. 70 Ditsarin Vongasemjit, Jenwit Amonpongitsara, Chotirat Ratanamahatana (Chulalongkorn University) Vision-Based Thai Sign Language Recognition .......................................................................................... 71 Jakapan Narkbuakaew, Chanaporn Pikulnarkwong, Chawintorn Pathomkasikul, Chotirat Ratanamahatana (Chulalongkorn University) An Improved Traffic Incident Detection System Using Fuzzy Logic ........................................................... 72 Jaraspat La-inchua, Sorawat Chivapreecha, Suttipong Thajchayapong (King Mongkut‘s Institute of Technology Ladkrabang , NECTEC) vi The 2013 IEEE Student Conference on Senior Capstone Project
  7. 7. Load Consolidation Management System ................................................................................................... 73 Ratsuda Amatyakul, Manavut Sunthonpaobvong, Rapeepat Sukprasert, Sukritta Viryasiri, Seeronk Prichanont (Chulalongkorn University) Design, Analysis and Testing of Semi-Monocoque Frame for Student Formula ........................................... 74 Kulanun Chutisemachai, Kasemphan Siriployngam, Kiatnathee Dilokthonsakun, Jintasarn Sanchai, Thanyarat Singhanart (Chulalongkorn University)Section 7 Energy and Transportation Design of a Pole-Slipping Protection for Loss of Synchronizing of a Generator........................................... 76 Supachai Sabua, Veerayut Pojui (King Mongkuts University of Technology Thonburi) Mathematical modeling of radiant cooling room with radiation ................................................................... 77 Jarudon Pattarabancha, Jetarin Chareonpornpoj, Kuntinee Maneeratana (Chulalongkorn University) Line current time shifting behavior when fault occurred on branch circuit of radial distribution system by using ATP program.................................................................................................................................... 78 Swanya Sittiprasertphol, Weerapun Rungseevijitprapa (Chulalongkorn University) Analysis of Voltage Fluctuation based on Thai Utility Regulation ............................................................... 79 Paranee Chailungka, Thavatchai Tayjasanant (Chulalongkorn University) Reducing Electricity Costs in the Tire Manufacturing by Load Shifting Technique and Using High Efficiency Motors ...................................................................................................................................... 80 Aleena Sakulsanchartthai, Hadsakoon Boriphonmongkol (Chulalongkorn University) Design and Construction of a Test Rig for the Cable-Pulley Power Transmission System ........................... 81 Pao Wichayaketsophorn, Poompat Pornwissanukul, Songkran Taepaisitpong, Suksit Wongwanich, Phongsaen Pitakwatchara (Chulalongkorn University) Design of a stator ground fault protection for a generator directly connected to a busbar ............................. 82 Sathichai Padungsiripanich, Kailerk Ruangsakul (King Mongkut‘s University of Technology North Bangkok) Feasibility Study and Human Machine Interface (HMI) for Automatic Control and Monitoring of a Micro Hydro Power Plant ....................................................................................................................... 83 Isuru Mudannayake, Anuradha Colombathanthri, Erik Bohez (Asian Institute of Technology) Analysis of Electric Power Quantities under Sinusoidal, Nonsinusoidal, Balanced or Unbalanced Conditions ................................................................................................................................................. 84 Phonlawat Wannasiwaporn, Thavatchai Tayjasanant (Chulalongkorn University) Impact of the Distributed Generator to Protection on Distribution Power System ........................................ 85 Tanyaluck Anusin, Hadsakoon Boriphonmongkol (Chulalongkorn University) Application of Phasor measurement Unit for Power System Voltage Stability Monitoring ........................... 86 Puriwat Suttitham, Naebboon Hoonchareon (Chulalongkorn University) Forecasting and Hedging Natural Gas Price for Hedging Electricity Price in Thailand ................................. 87 Sanyapong Petchrompo,Chonawee Supatgiat, Surapong Sirikulvadhana (Chulalongkorn University) A New Single Solar Tracking System for Concentrating Linear Fresnel Reflectors ..................................... 88 Nopharut Laopornpichayanuwat, Sunhaporn Sribanditmongkol, Sukrit Chuntaravisuid, Supachart Chungpaibulpatana (Thammasat University) vii The 2013 IEEE Student Conference on Senior Capstone Project
  8. 8. Section 1Sustainable Technology
  9. 9. Remote Agricultural Data Management System for Royal Project Foundation Tuchchai Apinuntakulchai and Apinya Phanumphai Advisor: Surapont Toomnark, Thagorn Tangmankhong and Kraikron Settakraikun King Mongkut‘s University of Technology Thonburi, Bangkok, Thailand, e-mail: Surapont.too@kmutt.ac.thRoyal Project Foundation has many local agricultural research stations at highland area suchas Doi Inthanon, Doi Ang Klang etc. The main activity of each research station is to developwinter plants experiment and also plant processing. There are many environment parametersrequired to support the research. Because of highland area, the limited of electrical power andcommunication facility effect to data management for research. To solve that problem, amodel of system support to agricultural data management is presented.Model of system at each research station is set as head and child node. Each local site hasmany small plants that produce different products. Each small plant is denoted as ―Site‖. Thissystem is designed in the hierarchical communication level. The top level consists of therequired information for all local sites of the Royal Project Foundation that we called ―Mainserver‖. The lowest level is the ―Head node‖ of each site or ―Child node‖ for the case thateach site requires more than one node.This research has 2 main parts, the data gathering and data center. The data gathering is anembedded system that transmits information to the data center. The data center is a systemthat provides information for user by web application. The embedded system has 2 functions,the monitoring system for maintenance and the data logger. The monitoring system is atracking system for preventive maintenance in the rural area.The data logger is a meteorological embedded system which consist sensors andcommunication module. This data logger called ―Head node‖ is installed at a site. Some siterequires more than one data gathering device due to the different data. We call those otherdevices are ―Child node‖. Therefore, a site has more than one node, it is necessary to haveonly Head node. The Head nodes were connected to the local network for transmit data to themain server. Head node from each site can send data to other Head nodes using packet radiowhen Head node has no internet or network connection. At the Main server, there are 2modes as online and offline modes. The online mode is the normal mode that thecommunication between main server and lower level device is complete. The offline is theopposite way. There is a server that located at the main office of Royal Project Foundation. Itwill gather all information from local site Head nodes in form of database.Finally, this project will manage real time local data from the sites as useful information forfurther operations. We also develop embedded data logger system which appropriate for ruralenvironment. The lack of data communication also solve by package radio technique. Theuser friendly web applications also support to researchers and office staffs. 2 The 2013 IEEE Student Conference on Senior Capstone Project
  10. 10. Online shopping mall Parita Doungngam, Chachanok Somchit, and Artit maneesri Advisor: Sirapat Chiewchanwattana Khon Kaen University, Khon Kaenn, Thailand. e-mail knack_za@hotmail.com , parita_59@windowslive.com and khemcs@gmail.comOnline shopping mall is an android application which is developed as an alternative of theuser. The application helps the market promotion. The system is divided into 2 parts whichare the web application and the mobile application. The web application, the main function ofthis part used in communication between users and providers which also helping in sellpromotion of each online shop. The information about sell promotion which stored indatabase center will be called by web service and display via web browser.So it can display both in web browser from desktop or PC and the mobile application.Another part is the mobile application. Facebook fanpage is another channel for shoppromoting. When the store owner has created a store webpage which working on PC, thefacebook fan page will be included. If the store is an android, there are 2 choices; use or notuse facebook fanpage. The user can download Online Shopping Mall application to install inheir own mobile phone and browse for interested products. It is suitable for users who preferusing internet from mobile device.Which the online shopping malls will help improve the quality of life is better. Becauseimproving the quality of a better life, improve the accord of life and compatible with thechanges in the future. So it matches our project, Emphasize the use of technology isbecoming popular for example the facebook is used facebook fanpage and android on mobileapplication help develop. Which modernize and increase the convenience to the user. 3 The 2013 IEEE Student Conference on Senior Capstone Project
  11. 11. Comparison of indoor SLAM using ceiling images with different state representations Piyapat Saranrittichai Advisor: Nattee Niparnan, Attawith Sudsang Chulalongkorn University, Bangkok, Thailand, e-mail: charn_pay@hotmail.com, nattee.n@chula.ac.th, attawith@cp.eng.chula.ac.thIn Robotics, Simultaneous Localization and Mapping (SLAM) is the problem whoseobjective is to simultaneously estimate robot configuration and map of its environment fromsensor data. It is widely used in autonomous mobile robot systems to enable robustnavigation in given environment. Currently, many research works are conducted to solveSLAM in several environment conditions. This work focuses on crowded indoor settingwhere grid map SLAM methods using traditional laser range finder do not work properly. Weuse fisheye camera. The camera is installed to look upward at the ceiling in order to performmapping of ceiling‘s visual features. This approach avoids the occlusion issues from thecrowd and other moving obstacles in the plane of navigation. Harris corner features isextracted due to its ease of tracking using Lucas-Kanade optical flow.To solve indoor SLAM, location‘s state vector is typically represented as a three-dimensionalstate vector of the robot‘s position (x, y) and heading direction (θ). This is sufficient for arobot using features on the two dimensional plane of navigation. Our case is different; ourmethod observes ceiling visual features. It appears that the fish-eye camera is not alwayslooking straight up. Vibration during robot‘s motion may cause slight variation of theviewing angle. Robot at the same location may observe different ceiling images. As a result,we propose to compare SLAM using EKF-SLAM with different state representations, i.e., thethree dimensional location‘s state vector of [x, y, θ] T and the six dimensions locationalstate vector of [x, y, z, α, β, γ] T where z is the height of the camera from the floor and α, βand γ are yaw, pitch and roll angle of the camera respectively.The experiment is conducted using a physical robot in the real world. The accuracy of themaps is calculated by performing scaling Iterative Closest Point (SICP) between the resultingmaps and the ground truth map. The result clearly shows that SLAM with six dimensionallocation‘s state vector is more accurate. 4 The 2013 IEEE Student Conference on Senior Capstone Project
  12. 12. Fabrication of Micropore on Silicon substrate Krairat Mairin Advisor: Mana Sriyudthsak Chulalongkorn University, Bangkok 10330, Thailand, e-mail: krairat.mairin@gmail.comRecently, Micro-Electro Mechanical Systems (MEMs) has involved in medical technology inmany aspects. Since MEMs has a small size, so there are many benefits of that. Example ofMEMs benefits are cost reduction, mass production, quantum effects and high potential to beimplantabled devices.This project is about micropore fabrication on silicon wafer using photolithography processand wet chemical etching. In this project the anisotropic etchant, KOH, is used to form thepore. The procedure of this project is divided to 3 main steps; preparation, pore-fabricationand evaluation and discussion. The first step is mainly on theoretical design and calculation,thickness of silicon oxide layer from thermal oxidation as a mask was estimated according tothe the KOH-Silicon etching rate. Mask diameter of 650 μm was estimatated for the designedpore size of 150 μm. For the pore formation, the process starting from cleaning the siliconwafer, growing the SiO2 on silicon wafer, transferring the pattern to oxide layer and etchingthe silicon by KOH (20%) at 80๐C. Scanning electron microscope (SEM ) was use toobserved and measure the pore size.The result of this project was a micropore on silicon wafer with a diameter of 200 μm. It isbelieved that the diameter of pore size can be formed smaller than this by using silicon nitrideor gold as a mask for KOH etching, because of their selectivity is better than Si/SiO 2 in KOHetching.If the micropore can be repeatedly fabricated. It would have a lot of applications waiting forit. For example, micropore can use to measure the deformability of a human RBC (red bloodcell) which can be used to study the factors that affect the deformability of a human RBC. 5 The 2013 IEEE Student Conference on Senior Capstone Project
  13. 13. Development of an Embedded BLDC motor controller using RS485 standard Teeratath Ariyachartphadungkit Advisor: Kanjanapan Sukvichai Kasetsart University, Bangkok, Thailand, e-mail: teeratath@gmail.comThe development of robotic is more advanced in previous 50 years in many industries. Themost important component of the robot is an actuator. Robot can achieve very sophisticatetask by very precise joint motion. In this research, the brushless DC motor (BLDC) drivercontroller is focused in order to make the motor has superior performance. BLDC motor iswidely used in industrial robot arm and other manufacturing machine because it has moreefficiency than regular DC or stepper motor. The main problem in order to use this kind ofmotor is the driver circuit and control since this motor must be driven at precise phases andsequences. Low cost embedded BLDC motor driver system is developed in this research.ARM Cortex M3 from STMicroelectronics is used as the main controller. The FreeRTOS isalso implemented to the system. RS485 is used as the standard communication between HostPC and the controller board. By using this technique, the controller can be easily replaced theold stepper or DC servo motor controller in the production lines. Proportional-Integral-Derivative (PID) speed and torque control laws are implemented as a built-in function in theembedded system. All PID parameters can be set via RS485 protocol.The embedded system in this research can be separated into 3 sub circuits. First is the BLDCdriver using Field Effect Transistor (FET). There are 3 phase coils in BLDC motor; thus, thedriving circuit must contain 6 FETs. Normally, there are two types of FETs must be used todrive BLDC which are n-type and p-type but p-type is expensive and can be only use inpresent of small driving current. In this paper, 6 n-type FETs are selected associated withcharge-pump and bootstrap to increase driving current. Bootstrap circuit will boot up the biasvoltage of source pin at n-type FETs. The second circuit is the controller circuit. Hall sensorsare attached to the BLDC motor in order to obtain phases. These hall sensors are not only useto drive the motor coils at correct sequence but also they will be used to calculate the speed ofthe motor. Hall sensors will be read by microcontroller and used in PID-Torque controlalgorithm. The third part is the RS485 circuit. This communication is half duplexcommunication. Each driving has its own id which can be set by initial setup. The commandpackages are sent to the embedded system and it must response in specific of time. Moreover,the microcontroller must handle communication packages and perform precise motor controlat the same time. Therefore, the FreeRTOS is implemented to this driver system in order toschedule the sequence of tasks to achieve the hard real-time requirement. 6 The 2013 IEEE Student Conference on Senior Capstone Project
  14. 14. An AU Golf Car: Autonomous Parking System Hemmawat Yensuong*, Patompong Sulsaksakul, Passaporn Rattanasetyith, Pattanan Detkrut and Pasawat Laokhonkha Advisor: Narong Aphiratsakun Assumption University, Bangkok, Thailand, e-mail: nott_abac@hotmail.comThis paper presents part of the research work carries out at Assumption University to developtechnology to control and route the motor vehicle. Our objective is to endow the vehicle withan Autonomous Parking System, which is a self-parking technology that assists motor vehiclein parallel parking. The system is developed to be completely autonomous: steering, pedal,brake and gear. The driver will no longer need to assist the vehicle by regulating the speedlike most systems on the market.In the self-parking operation, the vehicle moves forward into the position beside the frontvehicle and the system will notify the driver when to stop if the parking space is largeenough. The driver then engages the system and the vehicle will goes into reverse modeautomatically and will move backward slowly. At the same instance, the steering system willautonomously maneuver the vehicle seamlessly into the available parking space. Themicrocontroller FIO board based on STM32 platform and dsPIC30F4011 are fundamentalelements in the operation of self-parking to the extent that they are the main processor thatmonitors, manage, and control the entire system and operations. The FIO board will act as themain controller and two dsPIC30F4011 will perform as joint controllers of the system. Thissystem utilizes ultrasonic sensors located at rear quarter panel and rear bumper of the vehicleto detect the available space and calculate the area of the parking space. The EDM (distancedetection encoder) also simultaneously measures the distance of the available parking spaceby measuring the rotation of the wheel, which will feed the data back into dsPIC30F4011.The vehicle will be equipped with several preset-parking profiles to allow more capabilitiesin parking with different size or conditions of parking. When there is a match to the profile,the vehicle will perform parallel parking autonomously. During the operation, the ESAM(steering angle measurement encoder) will measure the steering angle of the steering wheeland make adjustments to the steering angle achieve a perfect parking.This paper presents the method and process of parking detection, automated steering, and theintegration of the components on the AU Golf car. The result of the self-parking is very goodand accurate. AU Golf car could park at the appropriate parking slots with severalexperiments. 7 The 2013 IEEE Student Conference on Senior Capstone Project
  15. 15. Improved Material Removal Rate by Abrasive Water Jet Milling Kasidet Wangvithayakul*, Ukrit Jampachon, and Sataphol Wattnapornmongkol Advisor: Pairat Tangpornprasert Chulalongkorn University, Bangkok, Thailand, e-mail: pairat.t@chula.ac.thAt the present, the conventional milling using in material removal has an amount ofrestrictive weaknesses. For instance, it is time- consuming and costly for operation, inaddition, it is difficult to operate in complex area or the small size of the work-piece.Furthermore, high-toughness materials; stainless steel, alloy steel and titanium, can shortenthe lifetime of cutting tools. As the consequence of this, Abrasive Water Jet (AWJ) cutting,involving the entrainment of abrasive particles into a high pressure jet of water, is beingintroduced. Due to the high competency in material removal, AWJ milling could be anopportunity to minimize machining time and increase process flexibility.However, AWJ is generally used in through cutting material. The crux of AWJ milling is thecontrolled depth of cut. Therefore, the first investigation is to study the parameters which arerelated to the depth of cut: feed rate, water pressure, the garnet size, abrasive flow rate andstand-off distance. As the result, the relation between feed rate and depth of cut tends to be alinear pattern. Feed rate was chosen to be the process parameter under the design ofexperiments while other parameters were set at constant values. Providing feed rate ismaintained as constant speed along a jet path, the depth of cut can be controlled in asingleline pattern. The simple technique of AWJ milling has been developed by moving jetback and forth in rectangular shape and changing lower feed rate to increase material removalrate (MRR). The size of the experimental area was 30x20 mm and the experiment wasconducted at 5-40 mm range of the depth.Nonetheless, penetrating traces at both sides of pocket milling, caused by impact of waterhammer at the beginning and ending point, could be hindrance. Therefore, one of theeffective solutions is to use high-hardness material (high speed steel, HSS) as masks,protecting both penetrated sides. By doing this, the penetrations were removed and thesurface of pocket milling was uniform pattern. Likewise, the experimental results mainlyseem to be contentable; for example, the sample of experiments, using the depth of pocketmilling at 20 mm, of AWJ milling spent 12 minutes in operation whereas conventionalmilling by 8-mm-size tool spent 15 minutes. From this experimental observation, AWJmilling has more 20 percent of MRR than conventional milling. 8 The 2013 IEEE Student Conference on Senior Capstone Project
  16. 16. Section 2Science and Technology
  17. 17. Disruptions to Saccade Planning: Effects on Eye Movements YueYinglong*,Yen Shih-Cheng, and Chua fook kee Advisor: Shih-Cheng National University of Singapore, Singapore, e-mail: u0904828@nus.edu.sgThe planning and execution of voluntary saccades to shift the eyes around and encode eachparts of the scene or movie is required when you performing a memory task after viewing ascene or movie. Two experiments are deployed in this study to examine how eye movementsrespond to sudden disruptions in saccade planning during natural scene and motion clipsviewing. The experiment to explore eye movements by using static scenes was intensivelystudied previously. However, the research have been done under dynamic scene transition areseldom studied. Moreover, previously studies used the time as the parameter to triggerdisruption, for example, the second scene as a disruption was displayed immediately after ascene had been viewing for 4.5 seconds. Therefore, in this study, instead of using time, weare going to use fixation numbers as the parameter. Participants viewed two consecutivescenes or movie clips. Three distinctive groups of eye movement were observed when sceneor movie transitions were introduced. Fixation ended more than 100ms called End--lategroup, duration when the transition occurred were elongated, and the eyes move towardscenter immediately, landing there in the first fixation after transition, Fixations in End-Earlygroup ended less than 100ms after transition, stayed at first fixation after transition for a veryshort period, subsequently move towards to the center, landing there in the second fixationafter transition. When transition occurred during a saccade, this Sacc group exhibited thesimilar behavior of eye movement with End-Early group. Besides, its fixation duration didnot vary before and after the transition. Our suggestion, for End-Late group, transitionoccurred early enough that allowed the eyes to abort the original saccade planning andreprogramming towards to the center, a salient vantage point to re-start scene or movieexploration at the first fixation after transition. The fixations in End-Early group, there is notenough time for the saccade to reprogram when the transitions occurred, so that the saccadeexecuted in the original plan and delayed the centering of eye movements. In terms of Saccgroup, saccade planning would not be affected when transition occurred during saccade,hence, the saccade landed in the first fixation shortly and centered at the second fixation.Moreover, By comparing the results from two experiments. The effect of saccadereprograming is more salient in the Static case. It would probably because movie clips wereinvolving in many motion changes, people have adapted to these changes and become lesssensitive to the scene transition. 10 The 2013 IEEE Student Conference on Senior Capstone Project
  18. 18. Parallel Additive Implementation for modified Flexible Interval Representation System Phoonlarp Mekraksakit*, Thanisorn Thanapongsapak, Chawin Wongchindakhun, Advisor: Athasit Surarerks Chulalongkorn University, Bangkok, Thailand, e-mail: Athasit@cp.eng.chula.ac.thA major problem in a domain of computer arithmetic is to reduce the computational time. Itneeds improving and developing for now, as we can see that many researchers try tointroduce an algorithm to solve this problem. However, some of these lead to the errorsduring computation, because of constraints in the real world. Therefore, many researchersspend their time to develop a number system representing intervals that be used for dealingwith round-off error problem. In the present, there are many interval representation systemsproposed for coping with this problem such as Flexible Interval Representation System(FIRS), which is considered to be a system having a good performance in memory andcomputational time. Therefore, we will focus on improving computational time for FIRS.For generalizing the FIRS with binary base, we firstly develop a new interval representationsystem for bases are any algebraic numbers by modifying the FIRS, that we call it modifiedFlexible Interval Representation System (mFIRS). In order to improve mFIRS computationaltime, our interest is to manipulate operations in parallel manner. As the addition is afundamental arithmetic operation for others, so we propose parallel addition algorithms formFIRS, which we classify into two parts. The first part is created for dealing with thesymmetrical digit set while another part concerns with the unsymmetrical digit set. Lastly, wealso introduce the way for implementing these algorithms in a practical way by representing afunction for cellular automaton.With these solutions we have mentioned above, now we can be able to add two intervals inparallel manner for any algebraic number bases which have no conjugate of modulus one.Our algorithms do not need to do any non-parallel processes after doing these algorithms,which can solve computational time problem indeed. 11 The 2013 IEEE Student Conference on Senior Capstone Project
  19. 19. A Quadrature Current Controlled Oscillator with 250 – 700 MHz Tuning Range Radit Smunyahirun Advisor: Ekachai Leelarasmee Chulalongkorn University, Bangkok, Thailand, e-mail: radit05@hotmail.comSince the broadcast system of television in Thailand will change from analog to digitalsystem, there will be plenty of frequency spectrums available for other communication uses.This spectrum occupies approximately from 200 MHz to 700 MHz and is called ―WhiteSpace‖. As with most of communication system, quadrature oscillators are the keycomponent in generating career signals. This work presents a quadrature oscillator whosefrequency can be tuned within the white space spectrum by using currents, hence the socalled ― quadrature current controlled oscillator‖.This circuit that we propose is shown in Fig.1 where currents are outputs. It usesthree identical current mirrors connected in a ring fashion. To obtain the quadrature phase, anextra capacitor is added to the middle current mirror. Its value is very large with respect toparasitic capacitors within current mirrors. As dictated by Barkhausen criteria, the sum ofphase shift between input and output current signal of three current mirrors must equal to 360degrees. Due to the added capacitor, phase shift between of the middle current mirror isalmost 90 degrees or quadrature related. From analysis, we get simple equations for design asfollows. (1) (2) and (3)where is phase shift deviation from 90 degrees between , is gain of a single currentmirror, is the sum of all parasitic capacitors of a single current mirror, istransconductance of N1, N3 and N5, and is frequency of oscillation. Since depends onbias current, we can adjust by tuning the DC bias of all PMOS to change DC currentbias of all current mirrors.The simulation result of the circuit by using Multisim with , , and is shown in Figure 2. From this simulation result, we obtainand .. 12 The 2013 IEEE Student Conference on Senior Capstone Project
  20. 20. Real Time People Tracking and Collision Avoidance using Sensors Fusion for an Indoor Omni-directional Wheels Mobile Robot Bhirawich Pholpoke Advisor: Kanjanapan Sukvichai Kasetsart University, Bangkok, Thailand, e-mail: b521050113@ku.ac.thIndoor robot applications fascinate robot researchers because they can be implemented andhave potential to be used in the real world applications. A person tracking is one of the mostimportant parts of mobile robot applications because it can be used to take care and helppeople in everyday life. The robot not only tracks a person but must also run in a realenvironment without colliding with obstacles. Therefore, the robot has to know its state suchas velocity and position in the environment while sensing the obstacles surrounding it. In thispaper, we divide the topics into two parts, i.e. the robot odometry estimation and a persontracking trajectory generation algorithm.First, the omni-directional wheel mobile robot though has a good maneuverability for manykinds of environment but it always faces wheel slippage due to its mechanical characteristics.This makes the wheel encoders which sense the rotation of wheels do not provide accuraterobot‘s velocity. This inaccuracy in odometry information, it is important for further robotlocalization and control processes. Normally, an inertial measurement unit (IMU) is usuallyused to fuse with wheel encoder data to increase the overall accuracy but this technique is notsufficient applied to the high slip environment. By adding a laser range finder sensor, laserscan matching technique can be implemented in this paper to improve system accuracy. Allof information from encoder, IMU and laser scan matching method are combined by usingthe Kalman filter technique.Second, a person tracking algorithm is an essential purpose of this paper in order to helppeople in many activities, such as following and carrying items for people or carrying foodfor elderly in a house. In this paper, tracking module is developed by using a laser rangefinder sensor to track the initial object which is assumed to be a target person. Then, themaximum likelihood algorithm is used to decide and perform as a data association algorithmfor probability filtering in the next process. Other important issue in this research is a safetyissue. The robot needs to be used in the real environment such as houses, offices and mallswhich have wide varieties of obstacles. Therefore, the robot must track the person and avoidthese obstacles simultaneously. Safety must be obtained from the environment and the stopcommand must be sent to robot before collisions against obstacles occur. Besides, the robot‘sdynamic constraints are necessary to assign the safe trajectory for a desired path to the robot.In conclusion, the real implemented robot was built and experimented. Robot consists of fourSwedish onmi-directional wheels driven by dc motors. Two URG-04LX laser scanners fromHokuyo Automatic Co., Ltd are used as robot laser range finder devices; one for tracking andanother for avoidance. The example of an experiment result shows that the overall systemworks pleasantly. The robot can maneuvers through the messy environment and it can track aperson while avoid the obstacles. All of these can be the fundamental for developing therobot that can help elderly or handicap and improve human quality of life in the future 13 The 2013 IEEE Student Conference on Senior Capstone Project
  21. 21. Design of a Phasor Measurement Unit (PMU) using FPGA Porjed Sakunjareanpornchai Advisor: Thirawut Fueangfu King Mongkut‘s University of Technology North Bankok, KMUTNB Bangkok, Thailand e-mail: s.porjed@gmail.comAn imbalance of power generation and load in a power system causes the fluctuation of thepower system frequency. Changes in active and reactive power flow due to disturbancesaffect the power system stability. The system operators need to know the transient behaviorof the system in order to improve the operations. Normally the operators use the control andmonitoring system called SCADA. However, the SCADA system updates every 2 – 6seconds. This is not fast enough for the operator to remedy the effects of the disturbances inreal time. This also makes the recorded values useless for later transient analysis.A phasor measurement unit (PMU) is a monitoring system that monitors bus voltages and afrequency in real time. It sends the monitored values every 100 milliseconds to the server.The differences in voltage angles of the system buses indicate active power flow. Thedifferences in voltage amplitudes show the reactive power flow. The changes in thefrequency (df/dt) can predict a system behavior.The project designed the phasor measurement unit using FPGA. First the simulations weredone in EMTDC/PSCAD to obtain the power swing signals. Then the signals were importedto MATLAB to test the algorithms. Next the algorithms were written on FPGA board tomake the PMU hardware. Finally the hardware was tested with OMICRON. 14 The 2013 IEEE Student Conference on Senior Capstone Project
  22. 22. Fire Infiltrating Robot with Image Acquisition: A Microcontroller based Urban Search and Rescue (USAR) Robot Ruth A. Silvallana, Russel L. Amado, Kristoni R. Aquino, Carmen Fe C. de Guzman, Moreno, Kendrick Kent L.Electronics Engineering Department, Technological Institute of the Philippines, Quezon City Philippines, e-mail: tip.edu.phThe principal objective of this design is to lessen the risk of the job of fire fighters inresponding trapped victims inside fire incident area. A fire infiltrating robot was designedand constructed as an Urban and Search Rescue (USAR) robot that has a real time imageacquisition utilizing wireless fidelity (Wi-Fi) technology to see the current situation inside theemergency area which can be view in a customized controller, and wireless intercom to allowfireman-victim communication. Further, it contains first aid materials at the back portioncompartment of the robot to increase the survival rate of trapped persons. The robot can alsosend back ambient temperature and battery capacity to the controller. This robot is overall intwo parts: electronics and mechanical components. Electronic components such as thePIC16F877A for the microcontroller, transceiver module, motor relay circuits and voltageregulators. The mechanical components are Honda wiper motors, Stone Wool for thermalinsulation, aluminum and galvanized metal.Different testing procedures were conducted to assess the robot‘s functionality. Theseprocedures are the test for maneuverability of the conveyor wheels at flat surface which willtest the robot‘s forward, backward and sideward movement and climbing downstairs/upstairscapability at standard staircases. The material heat resistance was also tested specifically thechassis that protects the electronic parts of the robot. Speed response and image acquisitiondisplay quality were also included at the testing procedures. These tests result verified theUSAR application of the robot as a useful tool during fire emergency operation. 15 The 2013 IEEE Student Conference on Senior Capstone Project
  23. 23. A New Algebraically Simple Chaotic Jerk Circuit and System using Memristor Nonlinearity Jirayu Peetakul and Sawitee Wangthawal Advisor: Wimol Sanum Intelligent Electronic Systems (IES) Research Laboratory Faculty of Engineering, ThaiNichi Institute of Technology (TNI) Patthanakarn, Suanlaung, Bangkok, Thailand, 10250. Fax :(+662)7632700, Tel :(+662)7632600 e-mail addresses: jirayu.p.tni@gmail.com and wimol@tni.ac.thChaotic systems have been characterized as a system that offers a sensitive dependence oninitial conditions, i.e. small perturbations ultimately results in a dramatic change in systemstates, and attracted great attention in recent years due to many possible applications invarious fields such as in secured communications and nonlinear control systems.Considerable research interests have been made in searching for new chaotic systems withminimal algebraic models as well as simple circuit implementations. The memristor, which ispostulated by Leon O. Chua in 1971 and successfully fabricated in 2008, is a two terminalelement in which magnetic flux between the terminals is a function of the electric charge thatpasses through the device. Such a memristor has been realized as an addition to existing basiccircuit components including resistor, capacitor, and inductor. In particular, the memristorcan be modeled by third order polynomial and exhibits PieceWise Linear (PWL)nonlinearity, which can be utilized in designing nonlinear chaotic circuits. Recently, chaoticcircuits implemented based on memristor have been suggested as a promising technology innonlinear dynamic circuits. However, algebraically simple and feasibility in dynamicalbehavior variations have not much been investigated. This paper suggests the design ofalgebraically simple chaotic jerk circuit and system through the use of memristor nonlinearitywhere the term ‗jerk‘ comes from the fact that successive time derivatives of displacement,velocity, and acceleration. The proposed system is simple in terms of mathematical modelwith wide range of complex dynamical behaviors. The simulations have been performed inMATLAB whilst the circuit implementation on board has realized a multipliers no. AD633for building the memristor. Dynamical properties are demonstrated in terms of Equilibria,Jacobian matrix, chaotic attractors, Bifurcations, Lyapunov exponents, KaplanYorkedimension, and Poincaré maps. The proposed circuit offers a potential alternative to nonlinearoscillators in communications and controls applications. 16 The 2013 IEEE Student Conference on Senior Capstone Project
  24. 24. An AU Golf Car: Obstacles Avoidance SystemAnkur Agrawal*, Krittamate Jirundorn, Tidarat Punyachai and Samuel Hussain Mogakolodi Advisor: Narong Aphiratsakun Assumption University, Bangkok, Thailand, e-mail: nott_abac@hotmail.comThis paper presents part of the research work carries out at Assumption University to developan autonomous obstacles avoiding car. The car uses a digital camera as its primary sensor todetect obstacles and calculate the optimum route to avoid the obstacle and use as little energyas possible while doing so. This system could be a building block in a completelyautonomous car. Self-driving cars could bring along many benefits such as increased roadsafety by taking humans out of the equation, and a decrease in road congestion due to poordriver habits to name a few.We are using Golf car as a test plant. This golf car uses a camera, in conjunction with animage recognition program written in openCV to recognize objects that need to be avoided.Once the obstacle has been detected, the software calculates it position and its area. Thisinformation is used to send instructions to two separate dsPIC30F4011 microcontrollers,which then send the data to a FIO board, which is based on the STM32. The FIO board thenadjusts the steering wheel, accelerator pedal, brake and gear in order to avoid the obstaclewith as little deviation from the original path as possible. This is demonstrated by the blockdiagram, where arrows labeled ‗D‘ represent digital signals while those labeled ‗A‘ representanalog signals.AU Golf car could avoid placement of obstacles on the road with several experiments. Futureadditions to this system include a more accurate detection and tracking system, possiblythrough more complex software and/or through the inclusion of ultrasonic sensors. 17 The 2013 IEEE Student Conference on Senior Capstone Project
  25. 25. Stability Control of a Self-Driving Bicycle Vittavat Kaewmaneekul *, Sompong Jarujitjumlern and Whicha Thaitavon Advisor: Viboon Sangveraphunsiri Chulalongkorn University, Bangkok, Thailand, e-mail: vittavat.vkk@gmail.comThis project, we propose a control strategy to stabilize an autonomous electric bicycle basedon the well-known state variable feedback. The simplified dynamic model of the bicycle isthe most important for the design of the controller. The necessary parameters of the dynamicmodel are verified through 3D computer models and experimentation. The stabilizing controlof an autonomous bicycle is derived independently based on the simplified model. Thesteering for stabilizing the bicycle is derived based on the output-zeroing controller orregulator. A programming tool, LabVIEW, is used for developing an embedded control andimplemented on the National instrument hardware, the Compact RIO. A velocity controlledconveyor is designed for verifying the total controlled system. The numerical solutions basedon the simplified model with the parameters of the model obtained from experiments areshown and are confirmed by experimental results to verify the effectiveness of the proposedcontrol strategy. 18 The 2013 IEEE Student Conference on Senior Capstone Project
  26. 26. Investigating on Damping Property of Laminated Composite Materials Thanyarat Singhanart *, Kritsadaporn Thongsawang, Nattapon Kaewchalam Nutthasan Srikwanma and Worapol Phraechinda Department of Mechanical Engineering, Chulalongkorn University, Phayathai, Pathumwan, Bangkok, 10330 * fmetsn@eng.chula.ac.th, Telephone Number: 02 218 6619, Fax. Number: 02 252 2889An aluminium laminate – a wall structure made of polyethylene plate attached withaluminium sheets on both sides by glue - is studied in this paper. As the vibration of thestructure can be controlled by the damping properties, the objective of this paper is todetermine the basic damping properties of aluminium, glue and polyethylene by anexperiment that is based on the determination of the logarithm decrement under free bendingvibration of beam with ended mass. The effect of frequency is considered by varying beam‘slength and ended mass. In the experiment, the cantilever beam is excited by the cyclicmagnetic force at the fundamental natural frequency. Then, the force is removed to producethe free vibration during which the deflection is detected by the laser displacement sensor.The logarithm decrement can be determined from the experimental results and the basicdamping property as the function of frequency is presented in terms of specific dampingcapacity (Fig. 1). As the specific damping capacity of the laminate can be determined usingthe basic damping properties of the components, the specific damping capacity of aluminiumlaminate is also predicted and verified by using the finite element method as shown in fig. 2.Two finite element models is only considered; one is the model including aluminium andpolyethylene without glue and the other one is the model with glue. The results show that thespecific damping capacity can be predicted but the predicted value is smaller due to the effectof shear strain in polyethylene and glue. In conclusion, this paper presents the experimentsfor finding the basic damping properties of the materials and the specific damping capacity ofaluminium, glue and polyethylene as well as the aluminium laminate. 19 The 2013 IEEE Student Conference on Senior Capstone Project
  27. 27. Section 3Health and Medicine
  28. 28. Design of an appointment system and bed management for Chemotherapy department Thanakrit Thanathipanont* and Achiraya Eurakarawong Advisor: Wipawee Tharmmaphornphilas Chulalongkorn University, Bangkok, Thailand, e-mail: irean_achiraya@hotmail.comDaycare or Chemotherapy department of a studied hospital receives patients from 4 mainupstream departmentsconsisting of Radiology department, Hematology department, MedicalOncology department and Surgery department. The number of patients arriving at the daycaredepartment depends on the diagnosis schedulesof these 4 departments. Since the upstream anddaycare departments never collaborate in capacity planning, demand at the daycare department isfluctuated resulting in demand over capacity on peak days. Currently, the daycare departmentdoes not have an appointment system. Patients receive their queuing numbers and need to wait atthe department without knowing their expected time to service.We develop patient information and drug formula databases that are linked to an appointment andbed management application to help schedule patients and assign patients to beds. Twoscheduling rules are offered in the application, which are FCFS (the current rule used in thehospital) and FCFSconsidering bed utilization. This application can provide information such asqueuing number, expected time to service to patients and help nurse in arranging beds.Simulation is applied to analyze system performance. We found that the FCFS considering bedutilization rule provides 5% increased in bed utilization, reduces the number of postponedpatients from 5 to 3 over peak days; however, increases 30 minutes of waiting time comparing toFCFS rule.We also propose a plan to smooth the demand by rescheduling diagnosis at the 4 upstreamdepartments. With simulation, we found that the new diagnosis schedule combining with FCFCrule decreasesthe waiting time and number of postponed patients approximately 30 minutes and 4out of 5 persons, respectively. Also, the new diagnosis schedule and FCFC with considering bedutilization decreases the waiting time approximately 20 minutes and results in no postponedpatients. 21 The 2013 IEEE Student Conference on Senior Capstone Project
  29. 29. Individual Speech Synthesis for ChulaDAISY Sivaporn Homvanish*, Thiti Watansrimongkol, and Natchanon Phachongkitphiphat Advisor: Proadpran P.Punyabukkana and Atiwong Suchato Chulalongkorn University, Bangkok, Thailand, e-mail: Thiti.Wa@student.chula.ac.thIndividual Speech Synthesis for ChulaDAISY is the system that is implemented to helpcreate audio books for blind people who have no chance to reach knowledge freedom, so it ishard for them to deal with daily knowledge form books. ChulaDAISY program is theprogram that can create DAISY typed book (an audio book with full text). However, when avolunteer who want to record their voice for making an audio book. They need to read andrecord all sentence, which is a very time-consuming process. This project, Individual SpeechSynthesis for ChulaDAISY, will solve this problem. When users who are volunteer creatingaudio books import content of books in formatted in document (.doc and .docx) and use thismode. Program will look for all necessary phones that use in the project and store thesentences which have those phones in the project. Then, program will show all sentenceswhich users have to record on the screen. This system helps users to reduce time to spendwhile they are recording their voices for creating audio books because they do not have torecord all of sentences that have in books but program has chosen some sentences that coverall of phones used in project. When users have finished recording, voice synthesis button willappear and if users click this button, program will generate personal voice model to fulfill theother sentences that have not recorded yet automatically. Moreover, this system will storeusers voice in the program. This feature will help when the same user want to use their voicefor making a new book. 22 The 2013 IEEE Student Conference on Senior Capstone Project
  30. 30. Real-Time Gait Analysis Using Kinect-based Motion Capture System Pattaravut Maleehuan Advisor: Pizzanu Kanongchaiyos Chulalongkorn University, Bangkok, Thailand, e-mail: Pattaravut.M@student.chula.ac.thThe human gait has traditionally been studied subjectively through visual observations. Bycombining advanced measurement technology and biomechanical modeling, human gait cannow be measured objectively. Today, there exists commercial systems can both capturethe end- user data, consisting of several important parameters in gait cycle, and analyzethe data for clinical diagnosis. However, the cost of such motion capture system is still toohigh, hence only a few hospitals in the city can afford while patients cannot access to theseservices at rural hospitals and clinics. This project proposes a real time motion capture systembased on low-cost Microsoft Kinects, each consists of infrared depth sensors and cameras, forgait motion capture. Without marker configuration, kinematics and kinetic calculations canbe performed and standard temporal and spatial parameters such as joint angles can bereported. Other typical gait parameters are speed, stride length, step length and time, stanceand swing phase can be user-defined or automatically computed. Finally, both proposedsystem and commercial motion capture products at Chulalongkorn ComprehensiveMovement Disorders Center‖ are used to capture gait motions in parallel. Euclidean distancebetween each joint parameter of both captured motions shows that the proposed system givesthe similar capture results to the commercial systems at the hospital. Besides its lower costand ease of set-up and configuration, the proposed system also provide the suggestionalgorithm for evaluating a Parkinson‘s patient‘s status which may be useful for hospitals andclinics in rural areas where no gait specialists such as physiotherapists, orthopedists orneurologists. 23 The 2013 IEEE Student Conference on Senior Capstone Project
  31. 31. Gait Phase Detection using Wireless Smart Shoe with Optimized Threshold by Genetic Algorithm Nantawat Pinkam Advisor: Itthisek NilkhamhangSirindhorn International Institute of Technology, Thammasat University, Bangkok, Thailand, e-mail: pinkam.nantawat@gmail.comNowadays, there are many kinds of gait rehabilitation technology to assist people who haveproblem walking to attain the normal gait. Motion capture technology, such as VICON, canbe used to acquire body movement and provide three dimensional analyses.Electromyography (EMG) is a biomedical sensor that can also be used to verify gaitabnormality, such as Lokomat developed Hocoma. However, these gait analysis devices lackmobility due to the need for large equipments.This paper proposes a novel decision system for segregation of five normal gait phases(stance, heel-off, swing 1, swing 2 and heel-strike) by using a real-time wireless smart shoe.The classification uses four force sensitive resistors (FSR) to measure force underneath thefoot together with an inertia measurement unit (IMU) that is attached at the back of the shoe.In addition, IMU gives magnitude of acceleration and inclination angle of the foot withrespect to the ground. Data acquisition is collected through XBee wireless network protocolin order to be processed serially by a computer. Threshold-based state transition theorem isused to distinguish gait phases from received data. Video recording with real time dataembedded interface is used to verify the output of the proposed gait phase detectionalgorithm. Experimental testing is conducted indoors on a treadmill. The verification processuses human inspection to classify the gait phases from the recorded video based on the gaitphase definition. The thresholds of state transition are optimized by genetic algorithm bycomparing sets of thresholds with the result from the video. This method was experimentedand verified by a person who has a normal walking gait cycle.This smart shoe can be used for gait rehabilitation of people who have abnormal gait, such asthe elderly and people who suffer diseases effecting their ambulation cycle. It can also beapplied in sportwear to help improve the performance of athletes. Most significantly, normalpeople can use smart shoe to evaluate their own walking style. Moreover, the advantage inmobility allows smart shoe to be used in other equipments, such as a prosthetic knee. 24 The 2013 IEEE Student Conference on Senior Capstone Project
  32. 32. Ultrasound B-scans Image Denoising via Expectation Maximization-based Unsharp Masking Theerawit Wilaiprasitporn Advisor: Chedsada Chinrungrueng, Widhyakorn Asdornwised Chulalongkorn University, Bangkok, Thailand, e-mail: pswnaru@gmail.comIn this paper, we present an unsharp masking-based approach with subsequent bilateralfiltering stage to noise smoothing of ultrasound (US) image. At our first processing stage,we propose image segmentation via EM to segregate two pixels populations instead ofseparating original image into the low- and high-frequency components. Our proposedmethod then enhances the edge by shifting the mean of the two pixels populations away fromeach other. This is similar to the conventional unsharp masking structure, except that theconcept is reformulated and worked in probabilistic setting. At our second stage, we usebilateral filtering to attenuate the retained noise in the flat areas. Performance of syntheticand real clinical B-scan US images based on several dominant image quality measures, e.g.,signal-to-noise ratio (SNR) and contrast-to-noise-ratio (CNR). The performance is improvedover the conventional US image de-speckling methods. The CNR-SNR performance tradeoffis also addressed here for the first time.Our experimental results in particular show that our proposed method with bilateral filteringgives the best performance. One of the essential contributions in this work is that we addressa new image quality tradeoff, also known as SNR-CNR dilemma, for the first time. We foundthat reconstructed US images cannot share good results of both the above mentionedmeasures. This tradeoff is similar to of the tradeoff mentioned earlier in W. K. HeisenbergsUncertainty Principle, which stated that we cannot accurately measure displacement andmomentum at the same time. 25 The 2013 IEEE Student Conference on Senior Capstone Project
  33. 33. An Automatic System for Measuring Electrode-Skin Impedance Prawsiri Veeranarapanich* Advisor: Arporn Teeramongkonramee and Apiwat Lek-uthai Chulalongkorn University, Bangkok, Thailand, e-mail: pianistpraw@hotmail.comIt is well accepted that the quality of biopotential signals such as ECG, EEG, EMG etc. isstrongly affected by the impedance at electrode-skin interface. The power-line interferencewhich is common mode signal in nature, could be converted into differential mode signal viathe electrode-skin impedance and electrode unbalance. One possible solution in practice is tominimize the electrode-skin impedance by a proper skin preparation such as skin abrasion.Thus, the study of the electrode-skin interface is one of the key factors to obtain high qualityof biopotential signals. In this article, we present an automatic system which is capable tomeasure electrode-skin impedance as a function of applied frequency. Our system consists ofa programmable function generator, an isolated DAQ module, a measuring circuit and alaptop. In our measurement, the electrode-skin interface is applied with a constant amplitudeof a sinusoidal wave and the current information is provided by our measuring circuit. ALabVIEW program has been developed to control both amplitude and frequency of sine waveapplied to the electrode-skin interface and also to acquire impedance voltage and currentfrom DAQ module. Our developed system is able to vary the applied frequency ranging from1 Hz to 10 kHz. The results indicated that the changes of electrode-skin impedance in termsof magnitude and phase versus applied frequency agree quite well with a simple lumped-circuit model. We also observed a relatively large data scattering of impedance in the lowfrequency (~ 1 to 200 Hz range). Since the current flow in the measuring circuit is limited byrelatively high values of impedance at low frequency, this results in a low signal signal-to-noise ratio. 26 The 2013 IEEE Student Conference on Senior Capstone Project
  34. 34. Computer Application using ARIMA and Simulation techniques for managing inventory in hospital Pattranit Khobkun, Watsa Tantiyuth, and Wassachon Veerakul Advisor: Surapong Sirikulvadhana Chulalongkorn University, Bangkok, Thailand, e-mail: Surapong.s@chula.ac.thThis paper aims to develop a computer application for inventory management in order tobalance uncertain demand and supply effectively in hospital (Medical supply unit). Ourprocedure can be divided into three main steps. First, we analyze data which consist ofhistorical demands and necessary parameters such as lead time and on hand which arecollected by the studied hospital. There are two different inventory policies, order when reachs and replenish to S; (s, S) and order Q in every T period; (T, Q). Second, we forecast non-stationary demand using Autoregressive integrated moving average (ARIMA). However,ARIMA is an effective method for demand prediction only in short and medium periods.Therefore, tracking signal is used to remind for keeping the accuracy of forecasting model.Third, we find reorder point and max level for (s, S) policy as well as period and quantity for(T, Q) policy by using the computer application based on criteria which is an acceptableshortage level (Service level) with the lowest average inventory units. To develop thecomputer application, we use MATLAB to calculate and also model ARIMA. Moreover, C#language is used to construct the application and its interface. After that, we compare theresults with the existing planning method to show how effective of our study are. Finally, thedeveloped computer application cannot only be used in hospital industry but also otherindustries which have non-stationary demand to improve inventory management. 27 The 2013 IEEE Student Conference on Senior Capstone Project
  35. 35. Admission and Discharge Processes Improvement Nopparuth lurkittikul, Tanawut Supparerkapa and Tanawat Jarusiripipat* Advisor: Wipawee Tharmmaphornphilas Chulalongkorn University, Bangkok, Thailand, e-mail: tanawat_sak@hotmail.comWe study admission and discharge processes in one of the biggest hospital in Thailand. Anadmission process is the process to examine whether patients are ready to stay at a hospitalfor at least one night to get treatments. Normally, it consists of the following sub-processes:interview, lung x-ray, blood test, electromagnetic scan, diagnosis, and room reservation.Since patients need to halt food intake in order to do blood test, blood test and its priorprocesses should be seriously considered. Currently, 5 nurses are assigned to the interviewprocess based upon diseases, 3 technicians are assigned to lung x-ray, and 1 nurse is assignedto blood test. This results in 2.5 hours to complete blood test and its prior processes. It is alsofound that blood test is the current bottleneck station. We develop a simulation model for theadmission process. This helps in assigning proper resources to each process. We found thatusing the current staff but transferring a nurse from the interview process to blood test canreduce 50 minutes of the completion time. Moreover, if an extra nurse can be assigned to theblood test station, it will reduce the completion time by 1.25 hour. However, adding otheradditional nurses is not significantly reduced the completion time.Discharge process occurs after doctors order discharge. Currently, about 50% of the patientscannot leave a hospital by noon of the discharge day. Consequently, they need to pay for anextra day, as well as new patients cannot check in. We study discharge processes of 4 wardsto determine the best practice. Delayed discharge is expected to be 20-30% afterimplementing the standard process. 28 The 2013 IEEE Student Conference on Senior Capstone Project
  36. 36. Design and Manufacture Argumentative Mobility Device For Osteoarthritis patients in Thailand Vorapraj Chutintaranond, Wongsatorn Sathitsuksanoh, Pitchaya Sovachinda and Teerinth Changsawang Advisor: Pairat Tangpornprasert and Chanyaphan Virulsri. Chulalongkorn University, Bangkok, Thailand, e-mail:chanyaphan.v@gmail.comOsteoarthritis (OA) is one of the most common chronic diseases founded in aging society. Itnot only directly affects patients‘ mobility, but also causes depression due to commutingrestriction. During the twentieth century in Thailand, the proportion of elderly peoplesignificantly increased. The proportion of men and women population over 60-year-old was4.4% - 5.2% in 1970, 6.2% - 8.4% in 1995, 14.6% - 18% in 2025 and 22.7% and 26.9% in2050[1]. To extend independent living and promoted their health, assistive mobility deviceshave been essentially created and developed.For the time being; there are several types of walker being exposed to commercial market asargumentative mobility device. However, they are still lack of some significant functionsbecause of different environment between designed countries and Thailand where roughnessand step on the walk way are normally found. In addition; inconvenient carriage associatingwith improper weight and obstructed architecture is required to be improved. Finding the bestsolution on solving the mentioned situation became our project objectives.A Hubless wheel walker provides advantageous weight and carriage compactness withmodern architecture. The wheel comprises aluminum wheel with solid tire and rotatable innerhoops, which were fabricated by Nylon 6. The maximum capability of dynamic systemcrossing step height and floor roughness is 10 centimeters. High grade aluminum was notonly used for supporting highly stressed parts on its structure but also appropriated for lightweight consideration expected lesser than a common use walker. For Folding in hublesswheel walker was designed under concept aligning bicycle wheel circumference, so itrequired radial slot mechanism on rear wheel structure and handles. Furthermore; middlecolumn adhered to body structure could be stretched and moved through to train entranceway moreover it‘s also favorably utilized as seat. Consequently, a hubless wheel walker willresolve the different environment for support and aid elderly in their daily life with highstability and safety; besides, offer the new value on easy carriage in limited area. 29 The 2013 IEEE Student Conference on Senior Capstone Project
  37. 37. Second Ear: A Hearing Tool for People with Hearing Disability Pattara Sukprasert and Nuttapong Phaisarn Advisor: Atiwong Suchato, Proadpran Punyabukkana Chulalongkorn University, Bangkok, Thailand, e-mail: Pattara.S@Student.chula.ac.thWith more than 10% of the population in Thailand are people with disabilities, it is necessarythat new technologies are designed and developed to help with their daily life. Althoughthere are some technologies available, we found that most are targeted for people with visualdisabilities or the motor handicapped. For people with hearing disabilities, their difficultiesmay be invisible to most. Often time, they need to have an assistant to constantly translatespoken to sign language. Therefore, this project, ―Second Ear‖, is particularly devoted toexploit the power of mobile technology to automatically translate spoken words into signlanguage and pictures in the hope to help the deaf to communicate more easily.This ―Second Ear‖ is an innovative solution that combine the use of Automatic SpeechRecognition (ASR), with the text-to-Sign Language algorithm, and Search algorithm. Itreceives three words or syllables in Thai from any speaker through a microphone connectedto a mobile phone, then transmit it to an engine that performs all necessary functions andreturns the resulting sign language and pictures back to the phone. Naturally, the limitation ofthree words will help improving the accuracy of the ASR. Though the users may have to limiteach utterance to three words or syllables, it is rather common to do so in the Thaienvironment, especially among the younger generation.This paper describes techniques employed in our research and offers results from ourexperiments. The outcome of this project is quite promising and can further be developed toreach a more natural way to help the deaf communicate better. 30 The 2013 IEEE Student Conference on Senior Capstone Project
  38. 38. Design and Implementation of Surveillance Robot for Disabilities and Elderly Surainan Kahmimah Advisors: Jakapan Suaboot and Apichat Heednacram Prince of Songkla University, Phuket, Thailand, e-mail: so-pat@hotmail.comRobots have played important role in assisting mankind, especially surveillance tasks forpartial disabled and elderly people. These people are unable to move conveniently aroundtheir spaces because of their physical limitations. Sometimes it is difficult for them tovisualize the environment around them without having to walk to the scene physically. Ifthere is a portable device that brings the real-time surveillance images to the partial disabledusers, they will respond to the near-by environment more effectively. Our proposed systembrings the live video to disabilities and elderly using low-cost surveillance robot. We applyexisting technologies and add more values by attaching the integrated camera that iscontrolled via smart phone.The system consists of two parts: a surveillance robot with rotatable spy camera; and aremote control device for a user. The robot is made up of a radio-controlled truck available tobe purchased from a normal market. The truck carries an Arduino board, two DC motors, aservomotor, a set of two batteries, and a surveillance camera that is used to send video signalsto the display (in this case we use a television). The communication between the robot andthe remote control is vital. Wireless LAN and mobile network were used in. Although, thesecommunication types offer high bandwidth and coverage, the system is complicated and theprice is high. A tiny and low batter consume radio transceiver was also used; however thetransmitter and receiver in this type of communication must use the same hardware and is notsuitable in our context. Therefore, our design is based on Bluetooth BlueDrone model thatallows many forms of inputs such as touch screen, accelerometer. The implementation uses asmart phone with installed Android operating system and Bluetooth capability. The smartphone acts as a remote control for a truck to move forwards, backwards, turning left andturning right. A camera on the truck can rotate left and right which operates through thesoftware interface on the phone in a limited distance of 40 metres. The camera sends the live-video images to the television, a display terminal. Our first prototype is considered low cost,given that we can apply the devices used in a normal life (a smart phone and a television).The RF camera, however, needs to be purchased (usually it is cheaper than IP camera). 31 The 2013 IEEE Student Conference on Senior Capstone Project
  39. 39. Learning Causal Structures of Brain Connectivity in fMRI time series Arnan Pongrattanakul* and Puttichai Lertkultanon* Advisor: Jitkomut Songsiri Chulalongkorn University, Bangkok, Thailande-mail: arnan.p@student.chula.ac.th, puttichai.l@student.chula.ac.th, jitkomut.s@chula.ac.thThis project presents a method for learning causal structures in a time series. Learning causalstructure is a problem of finding directional relationships between any pair of variables in asystem. In this work, we consider the brain system whose variables are functional activitiesoccurred in each region. The brain activities can be measured via blood oxygen levels usingthe technique of functional Magnetic Resonance Imaging (fMRI). Hence, discovering causalstructures in fMRI time series becomes an important topic in brain connectivity analysis.Our goal is to construct a multivariate autoregressive (AR) model that describes the dynamicsof blood oxygen levels in the brain by solving an estimation problem with Granger causality.The Granger causality principle states that for any pair of variables that has no causalrelationship between them (one variable does not cause another to occur, or vice versa), theparameters in the model corresponding to those two variables are zero. Therefore, if weassume that each brain region has strong connectivities with only some other regions, we canexpect parameter matrices in the model to be sparse (having many zero elements). Using theleast-squares method, we will show that the problem of estimating AR models with sparsecoefficient matrices can then be formulated as a convex optimization problem.The process of learning causal structures in fMRI time series can be described as follows:1. Formulating the model estimation problem using a framework of convex optimization. Anl1-norm penalty function is added into cost objective function to promote sparsity in thesolution.2. Reducing the number of variables in the system. Since the number of variables in the brainsystem is in the order of ten thousands, we apply the method of principal component analysis(PCA) to reduce the problem dimension.3. Solving the convex optimization problem via an iterative method, namely, the alternatingdirection method of multipliers (ADMM). This method is suitable for large-scale problemsand it has a desirable convergence rate in practice.4. Selecting the best model from a candidate set containing models with various orders andGranger causality patterns. These models are constructed by varying parameters in theestimation problem. Our criterion is to choose a stable model that yields the lowest fittingerror.5. Constructing a graphical model from the estimated Granger causality pattern. Thegraphical model will visually depict the relationship pattern between brain regions. Hence, itcan serve as a guideline or as prior knowledge for further brain studies in neurosciences.We verify the effectiveness of this approach on a synthetic data set and then apply the methodto fMRI time series. The estimated causal structure of brain connectivity will be discussed inthe full paper. 32 The 2013 IEEE Student Conference on Senior Capstone Project
  40. 40. Patient and treatment scheduling in Dermatological Outpatient Department queuing system Hataipat Juthasri*, and Suwat Tansiriyakul Advisor: Oran Kittithreerapronchai Chulalongkorn University, Bangkok, Thailand, e-mail: hataipat.j@hotmail.ac.thBecause of lack of medical resources and universal access to health care institutes, Thailandhas faced the quality of health service problem. Patients have experienced a long waiting timeand a heavy congestion, especially in outpatient departments (OPD) as they arrive at the sametime. Many researchers have viewed this problem as an operational issue and appliedprinciples of Operations Management to reduce the average time that a patient spends whilemaintaining high utilization of medical resources. This article studies the effects of patientappointment system and centralized treatment scheduling to Dermatological OPD queue at aprivate hospital using commercial simulation software. We notice that the medical careservice has unique characteristics. Medical services have 2 independent criterion to separatepatients into the system which is the medical necessity and continued therapy. As a result,patients are separated into 3 categories, particularly emergency patient, appointed patient andwalk-in patient. Moreover, each medical resource can perform more than one purpose thatprovides greater complexity in scheduling. Having analyzed the OPD, we observed that thediagnostic time depends on doctors and language barrier. The patient who requires atranslator spends long diagnostic time. Therefore, we observed that the queue is similar to ajob shop scheduling problem with precedent constraints. As a result, we compared job-shopqueuing policies which can provide guideline on medical care queuing system. 33 The 2013 IEEE Student Conference on Senior Capstone Project
  41. 41. Section 4Network and Communications

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