NECTEC : National Electronics and Computer Technology Center https://www.nectec.or.th/en ศูนย์เทคโนโลยีอิเล็กทรอนิกส์และคอมพิวเตอร์แห่งชาติ Wed, 20 Aug 2025 03:03:33 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.2 https://www.nectec.or.th/en/wp-content/uploads/2019/03/favicon.ico NECTEC : National Electronics and Computer Technology Center https://www.nectec.or.th/en 32 32 NECTEC and MKCF Partner to Boost Tech Skills for Students in the Mekong Region and Korea https://www.nectec.or.th/en/about/news/mkcf-collaboration.html Wed, 20 Aug 2025 03:00:08 +0000 https://www.nectec.or.th/en/?p=22349

NECTEC, in collaboration with the Mekong-Republic of Korea Cooperation Fund (MKCF), is launching a project to enhance computational skills for students in Mekong countries and the Republic of Korea. The project, titled “Enhancing Computational Skills for Students in Mekong Countries and the Republic of Korea through Coding, IoT, and AI Learning” (CAIoT4CT) secured funding of $486,454 from the MKCF.

A hybrid meeting was held on August 15, 2025, to kick off the project, led by NECTEC’s Educational Technology Research Team. Participants from the Republic of Korea and CLMV (Cambodia, Laos, Myanmar, Vietnam) joined the active discussion. NECTEC welcomed Mr. Madhurjya K. Dutta, Director of the MKCF, to the meeting.

The project aims to equip students in the region with essential skills in Coding, the Internet of Things (IoT), and Artificial Intelligence (AI). Rather than directly training students, the initiative will focus on a train-the-trainer model, providing teachers with the necessary knowledge and tools. This approach ensures a broader and more sustainable impact on the education sector.

The two-and-a-half-year project is structured in three phases:

  • First Year: Development of course materials and online training.
  • Second Year: On-site workshops to provide hands-on experience.
  • Final Phase: An innovation contest where students will apply their skills to develop projects centered on Sustainable Development Goals (SDGs) within the Mekong River Basin.

This initiative is a significant step toward cultivating computational thinking, problem-solving, and innovation among the next generation, preparing them for a technology-driven future.

]]> Medical Imaging System Research Team (MIS) https://www.nectec.or.th/en/a-med/mis.html Thu, 24 Apr 2025 10:11:51 +0000 https://www.nectec.or.th/en/?p=22286

The Medical Imaging System (MIS) Research Team, part of the Assistive Technology and Medical Devices (A-MED) research group at the National Electronics and Computer Technology Center (NECTEC), under the National Science and Technology Development Agency (NSTDA), is dedicated to the research and development of medical imaging instruments. Their work commenced in 2007 with the development of Cone-Beam Computed Tomography (CBCT) technology. By 2011, the team successfully introduced “DentiiScan 1.1”,  Thailand’s first indigenous CBCT machine tailored for dental applications. Subsequently, in collaboration with other NSTDA centers and partner organizations, the team has consistently advanced CT and Digital Radiography (DR) products to enhance accessibility to medical services for the Thai populace and to foster the growth of the domestic medical device industry.

Key Developments

2007–Present: Development and production of 3D dental CBCT machines, including DentiiScan 1.1, DentiiScan 2.0, DentiiScan Duo, and DentiiScan Trio.
2011–Present: Creation of the portable CBCT machine, MobiiScan.
2012–Present: Introduction of digital radiography devices under the BodiiRay series, such as BodiiRay, BodiiRay S, BodiiRay R, BodiiRay P, and BodiiRay PX.
2014–Present: In partnership with Prince of Songkla University, development of the high-resolution 3D CT scanner MiniiScan, designed for intraoperative assessment of breast tissue margins during surgery.

These CT and DR devices have undergone rigorous safety evaluations by the Department of Medical Sciences, Ministry of Public Health, and electrical and electronic safety assessments by the Product Testing Center (PTEC). Furthermore, they have achieved ISO 13485 certification from TÜV SÜD and have been registered as medical devices with the Thai Food and Drug Administration (FDA).

Vision

To pioneer innovations in medical imaging technology, leading to the establishment of a high-caliber medical device industry in Thailand, ensuring widespread accessibility to advanced medical technologies.

Mission 

  • Design, research, and develop proprietary X-ray, computed tomography (CT), and medical imaging devices that are practical for use and suitable for commercial development.
  • Establish collaborative networks with governmental and private sector entities.

Core Technology

The research team possesses extensive expertise in developing CT and digital radiography machines, with core competencies in:

  • X-ray and cone-beam technology
  • Medical imaging and image processing
  • Simulation and modeling for medical imaging systems
  • Medical image software development
  • Artificial Intelligence (AI)
  • Medical machine designBurapha University
  • Research Information
  • Medical device safety and ISO 13485 compliance

Products and Services

1. DentiiScan Series : 3D dental CBCT machines like DentiiScan 2.0, DentiiScan Duo, and  DentiiScan Trio facilitate diagnosis and treatment planning in dental implantology, impacted tooth surgery, oral and maxillofacial surgery, endodontics, and orthodontics.

2. BodiiRay : 2D digital radiography devices, including  BodiiRay S (chest X-rays), BodiiRay R (digital X-ray conversion kits), BodiiRay P (compact mobile digital X-ray machines), and BodiiRay PX (battery-powered portable digital X-ray machines), enable rapid, accurate, and safe imaging of various body parts such as the chest, abdomen, and bones, with immediate image display and user-friendly software supporting diverse applications.

3. MobiiScan: portable 3D CBCT machine used for diagnosing, treatment planning, and performing surgeries on patients with craniofacial abnormalities, congenital conditions, or trauma affecting the head, hands, and feet, including cleft lip and palate cases, facilitating prompt diagnosis and appropriate preliminary treatment.

4. MiniiScan : 3D CT scanner designed for intraoperative assessment of excised breast tissue margins during breast-conserving surgery, ensuring complete removal of tumor tissues. It can be stationed in operating rooms or relocated as needed.

5. DentiiPlan: Software designed to assist in dental implant surgery planning, enhancing precision and outcomes.

6. Radiiview : A cloud application designed for storing and visualizing 3D medical images from DentiiScan 2.0, DentiiScan Duo, DentiiScan Trio, and MobiiScan. It enables secure, web-based access to DICOM images via smartphones, tablets, and computers, allowing for remote consultations among dentists and medical professionals from any location.

Award

  • Outstanding Technologist Award (2019) – Group Category, awarded by the Foundation for the Promotion of Science and Technology under the Patronage of His Majesty the King.
  • Best Paper Award (2015) – ECTI-CON Conference.
  • First Prize, ICT Award (2011) – For the development of DentiPlan, a dental implant surgery planning software.
    National Research Council of Thailand (NRCT)
  • Invention Award (2009) – Honorable Mention in the field of Medicine and Public Health, awarded by NRCT for the development of DentiPlan.
  • Young Technologist Award (2008) – Awarded to Dr. Saowapak Thongvigitmanee by the Foundation for the Promotion of Science and Technology under the Patronage of His Majesty the King.

Members & Expertise 

  • Dr. Saowapak Thongvigitmanee (Research team leader, Senior Researcher) : X-Ray technology, Cone-beam CT, image reconstruction, image processing, medical imaging, ISO 13485
  • Dr. Walita Narkbuakaew (Researcher) : Cone-beam CT, image reconstruction, medical Image processing, computer graphics and visualization, software Development, expert rule-base system, ISO 13485, IEC62304
  • Dr. Sorapong Aootaphao (Researcher) : Cone-beam CT, image reconstruction, X-ray technology,  medical imaging, deep learning
  • Dr. Nattawut Sinsuebphon (Researcher) : Medical Image processing, digital radiography, medical imaging AI
  • Dr. Kittipong Kasantikul (Researcher) : Control system, cone-beam CT, image processing, machine learning, data analytics
  • Mr. Parinya Junhunee (Senior Engineer) : Machine design, CAD/CAM/CAE software design and analysis, machine element, automachine, automation, fluid mechanics
  • Mr. Atthasak Kiang-ia (Senior Engineerส) : Cone-beam , x-ray CT system, biomechanics, mechatronics, control system, preventive and breakdown maintenance, ISO 13485
  • Miss Chalinee Thanasupsombat (Senior Research assistant) : Cone-beam CT, CT reconstruction, X-ray physics and simulation, X-ray detector
  • Mr. Kongyot Wangkaoom (Senior Engineer) : Computer architecture, software analysis and design,
    web services, web applications
  • Miss Duangkamol Banarsarn (Senior Engineer) : Web development, data visualization, computer graphics, medical image processing, software engineering
  • Miss Saowanee Iamsiri (Engineer) : Software analysis and design, web services, 3D visualization, web applications, medical image processing
  • Mr. Sathid Rukkhong (Engineer) : Cone-beam , X-ray CT system, biomechanics, control system, electronics, preventive and breakdown maintenance
  • Miss Nopawan Kangsumrith (Technical Specialist): Quality Management System Standards for Medical Devices (ISO 13485)

Contact

Dr. Saowapak Thongvigitmanee
Medical Imaging System Research Team (MIS)
Assistive Technology and Medical Devices Research Group (A-MED)
National Electronics and Computer Technology Center (NECTEC)
email: saowapak.tho@nectec.or.th
Tel. : (+66) 2-564-6900 ext 2282

]]> Image Processing and Understanding Team (IPU) https://www.nectec.or.th/en/research/ainrg/ipu.html Mon, 10 Mar 2025 07:12:31 +0000 https://www.nectec.or.th/en/?p=21446

The Image Processing and Understanding (IPU) Research Team focuses on advancing the field of computer vision by developing innovative techniques for analyzing and interpreting visual data. Our work spans a wide range of applications, from fundamental research in image enhancement and object recognition to applied solutions in medical imaging, industrial automation, and intelligent surveillance.

We specialize in cutting-edge methods such as deep learning-based vision models, multi-modal data fusion, and explainable AI for image analysis. By integrating state-of-the-art algorithms with real-world datasets, we aim to push the boundaries of automated image understanding and make visual intelligence more accessible and impactful.

Collaboration is at the heart of our research. We work closely with academic institutions, industry partners, and governmental organizations to translate our findings into practical solutions.

Vision 

AI vision for real-world applications

Mission 

  • R&D in AI for Image, Video, and 3D technologies for real-world problems.
  • To collaborate with partners applying technologies to benefit Thai society.
  • To share knowledge with external researchers and students.

Core Technology

  • Face Verification
  • Object Detection
  • Image Captioning
  • Action Recognition
  • Image Classification
  • Object Tracking
  • Image Segmentation
  • Image Enhancement
  • 3D Data Analysis

Renow Projects

  • Face Verification for Red Cross
  • AI for Thai API services
  • Medical AI Platform
  • Rice Disease Linebot

Members & Expertise 

  • Dr. Sanparith Marukatat: Deep Learning, Medical AI, Multi-modal model
  • Mr. Wasin Sinthupinyo: CCTV, AI in agriculture
  • Ms. Sarin Watcharabutsarakham: Object Detection & Segmentation
  • Dr. Duangrat Gansawat: Medical AI
  • Dr. Sitapa Watcharapinchai: Person Analytics, Video Processing
  • Ms. Kantip Kiratiratanapruk: AI in agriculture, Image Search
  • Dr. Sutat Sae-Tang: Pattern Recognition, AI in livestock
  • Dr. Sorn Sooksatra: Deep Learning, Action Recognition and Localization
  • Dr. Theerasit Issaranon: Deep Learning, Multi-modal model, OCR
  • Dr. Buntita Pravalpruk: Pattern Recognition, OCR
  • Ms. Nonlapas Wongwaen: 3D model, Computer Graphics & Visualization
  • Mr. Wisarut Bholsithi: Computer Graphics & Visualization
  • Ms. Pitchayagan Temniranrat: Multi-modal model, AI in agriculture
  • Ms. Phattharat Songthung: Medical AI

Contact

Image Processing and Understanding Research Team (IPU)
Artificial Intelligence Research Group (AINRG)
National Electronics and Computer Technology Center (NECTEC)
email : ipu[at]nectec.or.th
Tel. : (+66) 02 5646900 ext 2246

]]> NECTEC Expert Emphasizes Tech Transfer for Sustainable Growth https://www.nectec.or.th/en/about/news/sustainable-growth.html Fri, 07 Mar 2025 09:01:13 +0000 https://www.nectec.or.th/en/?p=22219

Bangkok, Thailand – 26 February 2025, – Dr. Chalee Vorakulpipat, Research Group Director of the Communication and Networks Research Group at the National Electronics and Computer Technology Center (NECTEC), National Science and Technology Development Agency (NSTDA), Thailand, delivered a compelling presentation at a recent side event organized by the Asian and Pacific Centre for Transfer of Technology (APCTT) and the Department of Scientific and Industrial Research (DSIR). The event, titled “Fostering Regional Cooperation for Sustainable Development through Technology Transfer and Innovation.

Dr. Chalee shared valuable overviews and perspectives on the critical role of technology transfer and innovation in driving sustainable development across the Asia-Pacific region. He also shared target objectives (human capacity and technology, social and environmental impact and economic growth), strategies and target sectors. Additionally, he emphasized the readiness of knowledge transfer in AI, AI-based cybersecurity, data privacy, and its supporting infrastructure, including cloud computing and high-performance computing (HPC), highlighting their roles in advancing capacity building and technological growth.

Dr. Chalee’s expertise in communication and network technologies provided a valuable contribution to the discussions on fostering regional cooperation.

The APCTT-DSIR side event served as a platform for experts, policymakers, and stakeholders to exchange ideas and explore collaborative opportunities in technology transfer and innovation. The event highlighted the importance of regional partnerships in addressing pressing challenges and promoting sustainable development in the Asia-Pacific region.

]]> Assistive Technology and Medical Devices Research Group (A-MED) https://www.nectec.or.th/en/research/a-med.html Tue, 04 Mar 2025 09:19:09 +0000 https://www.nectec.or.th/en/?p=22279

The Assistive Technology and Medical Devices Research Group (A-MED) operates under the National Electronics and Computer Technology Center (NECTEC). The group focuses on research and development of medical device technologies, healthcare innovations, biomedical signal processing devices, rehabilitation technology, inclusive technology, and assistive technology. Its goal is to support the development of the targeted S-Curve industries in comprehensive healthcare and to enhance the quality of life for the public, particularly the elderly, people with disabilities, and underprivileged individuals, in response to the aging society.

The research team consists of the following:

]]> Intelligent SCADA Technology Research Team (IST) https://www.nectec.or.th/en/research/acerg/ist.html Tue, 04 Mar 2025 09:12:22 +0000 https://www.nectec.or.th/en/?p=21360

The Intelligent SCADA Technology Research Team (IST) is under the Intelligent Systems Research Group (INSRG). Nowadays, advanced and complex remote data acquisition and control technologies play important role in remote monitoring systems of the industry, utilities, and the government sectors . Additionally, the Open Charge Point Protocol (OCPP), Open Charge Point Interface (OCPI), and Energy Management System (EMS) are currently operational on the customer’s system (Elex by EGAT). The majority of these technologies are imported from abroad. IST was established to focus on research, design and development of technologies related to SCADA systems, aiming at inventing and applying our technologies to Thai industry as well as neighbouring countries.

Vision 

Focus on research and development of remote monitoring and measurement systems for viable applications, as well as research on EV chargers, according to Thailand’s sustainable development plan.

Mission 

Aim to research and develop high efficiency and flexibility of remote monitoring and measurement system , as well as research on EV chargers, to enhance domestic industrial satisfaction and to keep researchers in touch with frontier innovations.

Core Technology

IST specializes in the research and development of mechanical and electrical measurement system by using Remote Terminal Unit (RTU) under tropical environment including energy saving ability and high reliability. Moreover, we are also familiar with user-friendly back-end system such as multi-propose database, user-friendly interface, decision support system and interfacing with existing system by using standard protocol.

Key Achievements / Commercialized Projects

1. Dam Safety Remote Monitoring System (DS-RMS)

The Dam Safety Remote Monitoring System (DS-RMS) is an advanced monitoring system collaboratively developed by the Electricity Generating Authority of Thailand (EGAT) and the National Electronics and Computer Technology Center (NECTEC), specifically by the Remote Sensing and Control System Research Team (IST). This initiative integrates information and communication technology with dam behavior monitoring instruments to enhance confidence in the safety and security of EGAT’s major dams.

DS-RMS has been designed to automatically communicate data from various monitoring instruments including dam behavior sensors, seismic activity monitors, and flood measurement tools installed within dams and around reservoirs. This data is transmitted to a central computer system for processing and analysis using an expert system that can predict potential causes of anomalies. The system provides real-time dam safety status updates through a web-based application, displaying critical information via a dedicated website interface. Additionally, in case of detected irregularities, the system issues automated alerts via SMS and email to relevant personnel, ensuring timely inspections and corrective actions. Furthermore, EGAT executives are promptly informed to facilitate transparent communication with the public.

The information technology and visualization components of DS-RMS were jointly developed by EGAT and NECTEC, with advisory support from the Geotechnical and Foundation Engineering Research Center, Faculty of Engineering, Kasetsart University. These collaborations helped establish safety alert criteria and develop the expert system, incorporating recommendations from leading Thai dam engineering specialists.

The development of DS-RMS spanned 3 years (2014–2016) and has now been fully implemented. Currently, the system is operational in 14 major EGAT dams, namely: Bhumibol Dam, Sirikit Dam, Srinagarind Dam, Vajiralongkorn Dam, Ubol Ratana Dam, Sirindhorn Dam Chulabhorn Dam, Huai Kum Dam, Nam Pung Dam, Pak Mun Dam, Lamtakong Jolabha Vadhana Power Plant, Rajjaprabha Dam and Bang Lang Dam.

Additionally, as part of the DS-RMS project, the research team has developed a Remote Terminal Unit (DAM-RTU) specifically designed to measure water pressure levels at various monitoring stations within dams, meeting EGAT’s operational requirements.

Learn more about DS-RMS here

2. The Thailand EV Roaming Platform System (TER)

Thailand EV Roaming Platform System (TER) is a network integration platform for managing the EV charging stations. It supports both the Open Charge Point Protocol (OCPP) and Open Charge Point Interface (OCPI), enabling seamless connectivity between platforms. By utilizing both standardized and customized APIs, the TER system can simplify integration, accelerates system consolidation, and facilitates cross-network payments without hassle. It also provides real-time and accurate status updates on charging stations across the third-party network while maintaining high-security protocols, such as Security Credential Tokens, TLS, and Network Security. Additionally, the system is designed to support the expansion of EV infrastructure efficiently. For over 2 years, the TER system has been tested with Charge Point Operator (CPO) servers, mobile application back-end servers, and Open Charge Point Protocol (OCPP) servers. This ensures that Elex by EGAT enables members to access services from other charging service providers through OCPI, without any additional complexity for EV users.

3. URConnecT: Universal Remote Terminal Unit

URConnecT is a versatile remote monitoring and control device designed to interface with various equipment, including PT100 temperature sensors, 4-20mA output sensors, valves, and motors. It is engineered to work with multiple signal detection devices and allows users to expand or reduce the number of input/output channels by adding or removing expansion modules according to specific requirements. URConnecT can be applied in various fields, such as surveillance systems, industrial automation, and parameter monitoring for data processing in central computer systems.

Key Technology Features

  • Supported up to five expansion modules, allowing flexible configuration of analog and digital input/output signals. The number of input/output channels depends on the type of expansion module used.
  • Compatible with a wide range of signal detection devices through expansion modules.
  • Functions as an IoT device, capable of integrating with NETPIE or NEXPIE platforms.
  • Features Forward Addressing and Modbus Gateway, enabling seamless data transfer from Modbus RTU to Modbus TCP (Modbus RTU to TCP Converter).

4. UR-OEE

The Real-Time IoT-Based Overall Equipment Effectiveness (OEE) Monitoring System is currently undergoing field testing and is being promoted for commercial licensing, allowing companies to manufacture and distribute the technology.

Key Technology Features

  • Support up to – 3 OEEs (basic package) and 5 OEEs (premium package)
  • 10 Counters (( 4 Isolated and 6 Non-Isolated)
  • 15 Digital Inputs ( 6 Isolated and 9 Non-Isolated)
  • MQTT (both client and broker)
  • Barcode scanner support for recording/executing functions, eg. Specifying breakdown reasons, entering/exiting unplanned break/setup, changing production model, etc
  • On- device dashboard with capability to send data to On-cloud dashboard

International Journals

  •  J. Kudtongngam , K. Sangkarak, P. Lopattanakij, P. Liutanakul and V. Chunkag, “Implementation of Automatic Interleaving and Load Current Sharing Technique Using Single Interleaving Bus”, IET Power Electronics, Volume 9, Issue 7, 09 June 2016, pp. 1496-1504 
  • J. Kudtongngam , P. Liutanakul and V. Chunkag, “Automatic interleaving technique using single interleaving bus for paralleling power converters”, IET Power Electronics, 2015, Volume 8, Issue 8, pp. 1519-1530 
  • J. Suwatthikul, S. Sornmuang, T. Yaemglin, I. Cheowanish, and C. Supavasuthi, “Experimental investigation into vibration characteristics for damage minimization in a lapping process,” Shock and Vibration, vol. 2016, 2016. doi:10.1155/2016/4836516 

International Conferences

  • S. Thirachai, P. Komeswarakul, U. Supakchukul and J. Suwatthikul, Trapezoidal velocity trajectory generator with speed override capability, International Conference on Control, Automation and Systems 2010 (ICCAS 2010) Oct. 27-30, Gyeonggi-do, Korea. 
  • J. Suwatthikul and S. Thirachai, Seismic event trigger using fuzzy inference systems, , International Conference on Control, Automation and Systems 2010 (ICCAS 2010) Oct. 27-30, Gyeonggi-do, Korea. 
  • P. Kajoijilertsakul, S. Asawasripongtorn, P. Sanposh, J. Suwatthikul, and H. Fujita, Modeling and Simulation of 500 kV Transmission network for numerical fault calculation, detection, using PSCAD/EMTDC, 2011 Asia-Pacific Power and Energy Engineering Conference (APPEEC 2011), Mar. 2011, Wuhan, China. 
  • S. Sornmuang and J. Suwatthikul, Detection of a motor bearing shield fault using neural networks, 2011 International Conference on Instrumentation, Control, Information Technology and System Integration (SICE2011), Sep. 2011, Japan. 
  • N. Kitbutrawat, P. Lopattanakij, P. Tiwatthanont, S. Thirachai, and J. Suwatthikul, Sensor drift detection by utilizing multi-sensor signals, 2011 International Conference on Instrumentation, Control, Information Technology and System Integration (SICE2011), Sep. 2011, Japan. 
  • J. Suwatthikul and S. Sornmuang, Fault detection and diagnosis of a motor bearing shield, 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, Sep. 2011, Prague, Czech Republic. 
  • S. Thirachai, J. Suwatthikul, and S. Sornmuang, Searching algorithm for hypocenter location in convex polygon boundaries, 2011 International Conference on Instrumentation, Control, Information Technology and System Integration (SICE2011), Sep. 2011, Japan. 
  • P. Tiwatthanont, P. Lopattanakij, N. Kitbutrawat, J. Suwatthikul, U. Lewlomphaisarl, Flexible, adaptable and cost-effective seismometer with Linux-based embedded systems, 2011 International Conference on Instrumentation, Control, Information Technology and System Integration (SICE2011), Sep. 2011, Japan. 
  • Kudtongngam, J., Tiwatthanont, P. ; Lewlomphaisarl, U., The development of high performance Remote Terminal Unit using RT-Linux for distribution system (SICE2009), Aug. 2009, Japan 
  • Lewlomphaisarl, U., Ekkachai, K. ; Suksomboon, K. ; Kudtongngam, J. ; Laungnarutai, W. ; Supakchukul, U. ; Komeswarakul, P. ; Thirachai, S. ; Karukanan, S. ; Saengsatcha, P. ; Jomtarax, A. ; Tungpimolrut, K., Design and implementation of the behavior inspection system for Rajjaprabha Dam (SICE2009), Aug. 2009, Japan 
  • Sangkarak, K., Kudtongngam, J. ; Lewlomphaisarl, U., Magnitude estimation algorithm in seismic data acquisition application (SICE2011), Sep. 2011, Japan. 
  • Tiwatthanont, P., Lopattanakij, P. ; Kitbutrawat, N. ; Suwatthikul, J. ; Lewlomphaisarl, U., Flexible, adaptable and cost-effective seismometer with Linux-based embedded system: R-NON (SICE2011), Sep. 2011, Japan. 
  • P. Pimporn, S. Kittipiyakul, J. Kudtongngam and H. Fujita, “Missing Value Estimation of Energy Consumption of Multi-Unit Air Conditioners using Artificial Neural Networks”, International Conference on Embedded Systems and Intelligent Technology & International Conference on Information and Communication Technology for Embedded Systems (ICESIT-ICICTES), 2018, pp. 1-5 
  • S. Thirachai and J. Suwatthikul, “A suffcient condition for separate dimensions of TDOA estimation,” Proceedings of the SICE Annual Conference, pp. 347– 350, 2012. 
  • S. Sornmuang, J. Suwatthikul, and S. Thirachai, “Leak detection of pipeline using a hybrid of Neural-Adaptive Tabu Search algorithm,” International Conference on Control, Automation and Systems, pp. 531–534, 2014. 
  • S. Thirachai, S. Sornmuang, and J. Suwatthikul, “High resolution time delay estimator of transient detection using non-uniform sampling model based parameter estimator,” International Conference on Control, Automation and Systems, pp. 1576–1580, 2014. 

Prototypes

  • Industrial prototype: DNP3 Subset Level 1 in distribution automation system 
  • Industrial prototype: Remote terminal unit for distribution automation system with fault detection algorithm built-in Real-time Linux operating system 
  • Industrial prototype: Protocol management gateway for distribution automation system 
  • Industrial prototype: Remote terminal unit for distribution water work 
  • Industrial prototype: Networks for data acquisition and communication of water pressure in dams 
  • Industrial prototype: Pressure controller for air leak detector 
  • Industrial prototype: Hydro-meteorology station 
  • Industrial prototype: Digital Seismometer 

Patents

  • Method and apparatus of tipping bucket rain gauge, 
  • Method and apparatus for fibre optic communication 
  • Method and apparatus for high impedance fault detection and location in distribution systems 
  • Method and apparatus for Automatic Interleaving in Parallel Power Supply 
  • Method and apparatus for estimating seismic signal 
  • Method of identifying fault location for CAN bus network wiring harness with Hardware-In-the-Loop 
  • Method for reducing noise from multiple seismic sensors 

Members & Expertise 

  • Kumpee Suksomboon : Micro-controller programming, Analog and digital design
  • Jasada Kudtongngam, Ph.D : Energy Management, Demand Response System
  • Rangsarit Vanijjirattikhan, PhD : Scenario-based simulation, Machine Vision, Signal classification
  • Jirayut Phontip : Analog and digital design, Power electronics
  • Arnan Jomtarax : Circuit & PCB design
  • Jaturawit Janpaiboon : Automotive Electronics, Robotics, Electronic Circuit Design, openADR
  • Montri Chatpoj : Embedded System Design, IoT, Automotive Electronics, Electronic Circuit Design
  • Nathavuth Kitbutrawat : Linux programming
  • Patin Pongkacha : Automotive Electronics, Embedded Systems Design, IoT
  • Kittipong Sangkarak : Analog design, Programing Microcontroller
  • Pakorn Lopattanakij : Linux programming, Microcontroller HW & SW, Digital & Analog circuit design, Solidwork Fundamental
  • Paramarporn Jinthanakorn : Database design, Program developer Java framework
  • Rungtip Nuntawattanasirichai : System analyst, Program developer Java framework
  • Sutiwat Khamhaeng : Expertise in Web Application Development, IoT, and Cloud Computing.

Contact

Intelligent SCADA Technology Research Team (IST)
Intelligent Systems Research Group (INSRG)
Tel. : (+66) 02 5646900
Email : acerg-ist@nectec.or.th

]]> Biomedical Electronics and Systems Research Team (BES) https://www.nectec.or.th/en/a-med/bes.html Tue, 04 Mar 2025 09:00:05 +0000 https://www.nectec.or.th/en/?p=21462

Neural Signal Processing Research Team (NSP) is a part of Artificial Intelligence Research Group (AINRG). We are a research team that is interested in neural signal processing technologies, especially ones that happen at the brain. Targeting applications mainly in the field of healthcare and wellness, our expanded scope of research work also covers related areas such as robotics, hearing, and medical product developments.

สารบัญ

Vision 

A research team that is recognized for the quality of academic works in neural signal processing and system areas, and is known for its translational research and product development focuses that help bring the research outcome to real use.

Mission 

To carry out research and development activities in neural signal processing and related technologies with a view to work with partners to utilize or commercialize the knowledge via models of cooperation such as joint research, consultation, or technology licensing.

Areas of Interest

  • Neural Signal Processing in Human’s Cognitive and Affective Domains
  • Brain Computer Interface
  • Auditory Processing
  • Neurorobotics

Some Examples of Our Work

Neurofeedback System for Cognitive Training in Elderly
Gold Medal Award: International Exhibition of Invention of Geneva 2016 (with Chulalongkorn University)

Elderly under training

Elderly under training

NECTEC-CU CoT for Cognitive Care in Elderly

NECTEC-CU CoT for Cognitive Care in Elderly

Hearing Aid and Assistive Listening Devices

Rehabilitation Robotics
WEFRE upper limb rehabilitation systemIn-house neurorobotic system under investigation

WEFRE under use

WEFRE under use

Neurorobotics

Neurorobotics

Members & Expertise 

  • Pasin Israsena, Ph.D : Hearing Aids, Auditory Processing, BCI
  • Winai Chonnaparamutt, Ph.D : Rehabilitation Robotics, Mechatronics
  • Apit Hemakom, Ph.D : EEG Signals, BCI, Digital Signal Processing
  • Suwicha Jirayucharoensak : Cognitive Training, BCI, Machine Learning
  • Anukool Noymai : Embedded Systems, Hearing Aids, Product Development
  • Tharapong Soonrach : Electronics & Instrumentation
  • Sangvorn Seesutas : (Electroacoustic Measurements
  • Arpa Suwannarat : (Neurorehabilitation/Motor Imagery/Machine Learning
  • Krit Janard : DSP systems, SW
  • Witsarut Supsi : Gaming Software
  • Worapong Narongwongwathana : Biomedical Engineering

Contact

Neural Signal Processing Research Team (NSP)
Artificial Intelligence Research Group (AINRG)
National Electronics and Computer Technology Center (NECTEC)
email : nsp[at]nectec.or.th
Tel. : (+66) 02 5646900

]]> Decarbonization Technology and Innovation (DTI) https://www.nectec.or.th/en/research/iiarg/dti.html Mon, 03 Mar 2025 08:10:29 +0000 https://www.nectec.or.th/en/?p=22252

 The world is currently facing significant environmental challenges, particularly climate change caused by continuous greenhouse gas emissions from industries and energy consumption. As a result, Decarbonization Technology and Innovation (DTI) plays a crucial role in helping organizations and industries effectively reduce carbon emissions.
The Decarbonization Technology and Innovation Research Team (DTIRT) has developed solutions and platforms for carbon accounting management while introducing smart technologies to support organizations in achieving Net Zero emissions and ensuring sustainability.

Vision 

Committed to developing decarbonization technologies and innovations, promoting sustainable business practices, and driving Thai industries towards achieving Net Zero greenhouse gas emissions.

Mission

  1. Develop and provide consultancy services for Carbon Footprint for Organization (CFO) assessment.
  2. Develop and offer Carbon Accounting Management Platforms (CAMP, ACAMP, and DCAMP).
  3. Develop and implement solutions for carbon emission reduction, including Smart Energy Solution, Smart Cooling System, Smart Boiling System, Smart Air Compressor System, and Smart Production Line.
  4. Support industries and organizations in reducing their carbon footprint through automation and IoT technologies.
  5. Promote research and innovation for sustainable energy management.

Key Projects and Services

Carbon Accounting Management Platforms (CAMP, ACAMP, and DCAMP)

  • CAMP (Carbon Accounting Management Platform)
  • ACAMP (Automated Carbon Accounting Management Platform)
  • DCAMP (Decarbonized Carbon Accounting Management Platform)

These platforms feature:
✔ Automated data import
✔ Automated carbon footprint calculation
✔ Carbon reduction target setting and alerts
✔ Automated reporting of greenhouse gas emissions and sequestration

Smart Energy Solutions

  • Smart BESS (Battery Energy Storage System)
  • Smart Cooling System for cooling management
  • Smart Boiling System for efficient water heating
  • Smart Air Compressor System for industrial applications
  • Smart Production Line for energy-efficient manufacturing

Personnel and Expertise

 The Decarbonization Technology and Innovation Research Team (DTIRT) consists of experts in various fields, including:

  • Dr. Amporn Poyai – Head of Research Team, Expert in Energy and Carbon Management
  • Mr. Chandej Hruanun – Expert in Manufacturing Processes and Energy Management
  • Mr. Suwan Yanuwong – Expert in Power Systems, Cooling, and Heating Systems
  • Mr. Patipat eiam-aram – Expert in Full Stack Software Development
  • Mr. Singhanat Puangwarin – Expert in Power Systems and Energy Management
  • Mr. Runtawee Piyanantcharassri – Expert in Electronics and Control Systems
  • Dr. Kulachart Meesabhlak – Expert in IoT and Energy Management Systems
  • Dr. Teeraset Surapan – Expert in OEE (Overall Equipment Effectiveness) and Energy Management
  • Mr. Chamnarn Panyasai – Expert in Automation and Energy Management

Contact

Decarbonization Technology and Innovation Research Team
Industrial IoT and Automation Research Group (IIARG) 
National Electronics and Computer Technology Center (NECTEC)
Website: www.nectec.or.th/DTI
LINE: @DTIRT
Email: iiarg-dti[at]nectec.or.th
Tel. : (+66) 2-564-6900 ext 2690

]]> Intelligent Systems and Networks (ITSN) https://www.nectec.or.th/en/research/itsn.html Fri, 28 Feb 2025 09:02:53 +0000 https://www.nectec.or.th/en/?p=22224
Research Team

 

]]> Intelligent Manufacturing Innovation Research Team (IMI) https://www.nectec.or.th/en/research/itsn/itsn-imi.html Fri, 28 Feb 2025 08:46:27 +0000 https://www.nectec.or.th/en/?p=22182 Read more]]>

The Intelligent Manufacturing Innovation (IMI) research team, Deputy Executive Director Research & Development Intelligent Systems and Networks (ITSN), aims to integrate advanced manufacturing innovations to enhance industrial production, driving the transition towards Industry 4.0. This initiative seeks to strengthen competitiveness and promote sustainable manufacturing.

Vision 

Driving National Development through Industry 4.0

Mission

The Intelligent Manufacturing Innovation (IMI) research team is committed to enhancing the accessibility and affordability of advanced manufacturing technologies, facilitating their adoption to improve efficiency in industrial production.

Core Technology

  •  Thailand i4.0 Index
    The Thailand i4.0 Index provides a comprehensive assessment of a factory’s technological readiness across multiple dimensions. This enables manufacturers to set appropriate targets for technological upgrades and industry transformation.
  • Factory Automation
    The integration of PLC, Robotics, and SCADA in industrial operations enhances efficiency through training programs and technology demonstrations via Testbed environments. This enhances Production Automation and Facility Automation capabilities, aligning with the Thailand i4.0 Index framework.
  • Internet of Things (IoT) & Industrial IoT
    Implementing IoT in industrial settings accelerates data transmission, enabling real-time analysis of machine and product anomalies. This enhances Production Network and Facility Network capabilities, aligning with the Thailand i4.0 Index framework.
  • AI & Signal Processing
    Leveraging AI in data processing facilitates real-time anomaly detection, improving production efficiency while reducing downtime, product defects, and equipment failures. This enhances Smart Production and Smart Facility capabilities, aligning with the Thailand i4.0 Index framework.

Services and Innovations

  • Thailand i4.0 Index Assessment
    Providing technology readiness evaluation services using the Thailand i4.0 Index to assess and enhance industrial transformation strategies.
  • Flexible Automation Testbed
    A simulation platform for Industry 4.0 manufacturing processes, enabling businesses to understand and implement smart production workflows effectively.
  • Industrial Automation Testbed
    A production line simulation that integrates multiple machines into a SCADA system, demonstrating the application of Robotics and AI in industrial automation.
  • Smart Maintenance Testbed
    A comprehensive industrial facility simulation, showcasing how IoT technology enables real-time monitoring of utility systems and production lines.
  • Industrial Process Simulation Software
    A simulation tool for optimizing production processes, facilitating efficient production line planning and modifications before actual investment, reducing costs and implementation time.
  • iSmart OEE
    A real-time automated monitoring device for measuring the Overall Equipment Effectiveness (OEE) of industrial machinery.
  • iSmart Maintenance
    An AI-powered motor health monitoring system, providing early anomaly detection and alerts to prevent unexpected motor failures.

Members & Expertise

  • Unpong Supakchukul : Thailand i4.0 Index, System Design, Programming
  • Sunisa Khomsay : AI for Manufacturing, Signal Processing
  • Thawatchai Kamsri : IoT, Sensors, Programming
  • Raphipong Chokrungitsaranukul : Control System, Industrial Robot
  • Kittipong Khomsay : Product Design, CAD/CAM/CAE
  • Teeruch Janjongcam: Factory Automation, PCB Design, IoT, AI

Contact

Intelligent Manufacturing Innovation Research Team (IMI)
Deputy Executive Director Research and Development Intelligent Systems and Networks (ITSN)
National Electronics and Computer Technology Center (NECTEC)
e-mail: imi[at]nectec.or.th

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