research – NECTEC : National Electronics and Computer Technology Center https://www.nectec.or.th/en ศูนย์เทคโนโลยีอิเล็กทรอนิกส์และคอมพิวเตอร์แห่งชาติ Tue, 13 May 2025 10:16:27 +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 research – NECTEC : National Electronics and Computer Technology Center https://www.nectec.or.th/en 32 32 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

]]> 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

]]> 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

]]> Data Science and Analytics Research Group (DSARG) https://www.nectec.or.th/en/research/dsarg.html Fri, 01 Mar 2024 06:23:54 +0000 https://www.nectec.or.th/en/?p=18287
The Data Science and Analytics Research Group (DSARG) focuses on research and development on big data analytics technology and building national data infrastructure to support data science research and applications.

Vision 

To build national and regional data platforms that enabling data-driven innovation

Mission

  • To develop a national data infrastructure in supporting data science research and applications
  • To collaborate with partners in building a data ecosystem that enabling data-driven innovation

Core Technology

  • Analytics and Computing: Descriptive / Predictive / Prescriptive
  • Data Management: Data Integration / Enterprise Architecture
  • Distributed Processing / Parallel Processing
  • Scheduling and Optimization
  • Computational Statistics / Statistics Model
  • Machine Learning
  • Data Mining / Graph Mining / Pattern Mining
  • Stream Processing
  • Time series data analysis / Anomaly Detection
  • Information Visualization
  • Behavior Analysis
  • Semantic/ Linked Data Technology

Challenges

  • Real-time, sensor data, and stream processing
  • Descriptive / predictive / prescriptive data analytics and visualization
  • Integrating disparate data sources
  • Data cleansing and validation/ Data quality
  • Big data security and privacy

Research Team

Contact

Suttipong Thajchayapong, Ph.D
Research Group Director,
Data Science and Analytics Research Group (DSARG)
National Electronics and Computer Technology Center (NECTEC)
email : suttipong.thajchayapong[at]nectec.or.th

]]> Center for Cyber-Physical Systems (CPS) https://www.nectec.or.th/en/research/iiarg/cps.html Thu, 16 Jun 2022 08:22:52 +0000 https://www.nectec.or.th/en/?p=21733

Cyber-Physical System or CPS is engineering system that seamlessly integrates physical world with cyber world. Physical world includes all kinds of physical objects such as devices, machines, systems (man-made or natural), environments, and even humans ourselves. Cyber or digital world provides computation and control. Combining the two worlds requires, first and foremost, connectivity among physical things such that they can interact as a network a.k.a. Internet of Things (IoT). IoT also acts as a bridge between the physical and cyber sides of a cyber-physical system. Through sensors, live data can be retrieved from a physical system and processed in the cyber space in order to produce decision, which is then passed back via actuators to control the physical system in continuous, autonomous loops.

CPS is therefore far more comprehensive than IoT as it involves not only connectivity, but also computation and control. It is the scaffold, upon which all the ‘smart’ technologies are built. However, design and implementation of a cyber-physical system are complicated, considering they take interdisciplinary knowledge including computer science, mathematics, electrical engineering (electronics, computer, and control), mechanical engineering, industrial engineering, manufacturing engineering, etc.

For Thailand 4.0 initiative, NECTEC, NSTDA is set to promote CPS as one of its leading technologies going forward. Center for Cyber Physical Systems has been formed from NECTECs three core areas of research expertise: sensors, network/system, and artificial intelligence/data analytics with a mission to facilitate implementation of CPS technology in various economic sectors such as industry, agriculture, and urban infrastructure.

Vision 

To be the national and regional leading knowledge center in all things CPS. Capable of providing methodology and guidance on how to design, implement and apply CPS to any economic sector.

Mission

To establish national infrastructure service center equipped with experts, tools, and testbeds for innovation, consultation, and knowledge dissemination in CPS technology to the public with the ultimate goal of lifting Thailand’s industry to 4.0 level.

Role:

  • Consultation: Extending CPS knowledge, research, and innovation to private sector.
  • Testbed Facilities: Providing essential tools and environments for prototyping CPS/IoT products such as
    • NETPIE IoT Cloud Platform
    • Daysie Edge Computing Platform
    • Digital Lean Learning Factory
    • Motor Power Testbed and Motor Fault Diagnosis
    • Solar Cooling Learning System
  • Research and Development: Creating practical CPS/IoT knowledge and innovations that serve the need of our country.
  • Ecosystem Incubation: Fostering new CPS/IoT developers and matching them with potential markets.

Core Technology

  • Internet of Things (IoT), Industrial IoT (IIoT)
  • Digital Lean Manufacturing (DLM)
  • Artificial Intelligence (AI) and Machine Learning (ML) for Industrial Applications
  • Edge and Cloud Computing
  • IoT System Architecture Design and Implementation

Renown Projects

  • Network Platform for Internet of Everything (NETPIE)
    NETPIE is a cloud-based IoT platform-as-a-service that simplifies device connectivity by shifting complexity from application developers and device manufacturers to the cloud, enabling seamless integration and communication. (https://netpie.io/)
  • Daysie Edge Computing Platform
    Daysie is a web-based service designed to simplify the creation, management and deployment of AI and IoT applications. Built with ease of use in mind, it requires no programming, ensuring accessibility to all users. Additionally, users retain full ownership of the software they create.
  • Industrial IoT and Data Analytics Platform (IDA)
    The IDA project drives Industry 4.0 adoption by providing financial and technical support for industries, focusing on technologies like IoT-based energy monitoring, Smart OEE, AI/Edge Computing, Visual Inspection, and Carbon Footprint Monitoring.

Members & Expertise

  • Aimaschana Niruntasukrat, Ph.D. : Artificial Intelligence/Machine Learning, IoT, System Modeling, IoT System Architecture
  • Tanakorn Tantanawat, Ph.D. : System Design Optimization, Machine Design, Lean Manufacturing
  • Ekkachart Hattha: Lean Manufacturing, Computational Fluid Dynamics, Solar Cooling System
  • Thongchai Thongvichitmanee: Automation Systems, Programmable Logic Controller (PLC), Collaborative Robot
  • Surapun Tongrungsi:  IoT, Sensor Test and Evaluation, Machine and Equipment Maintenance
  • Tongpool Sangkapes: Solar Cooling System, Machine and Equipment Maintenance, Product and Equipment Design
  • Natapon Tansangworn: IoT/Edge Computing, Large-Scale Platform Design and Implementation, IoT Application Development, Embedded System
  • Russarin Tansangworn: IoT, AI/ML, Data Analytics, Database, Software Development, Data Visualization, UX/UI Design
  • Piyawat Jomsathan: IoT Application Development, IoT Hardware Design, IIoT System Design, Data Visualization Tools, Database
  • Thosapon Krinsukont: Microcontroller Control Programming, Mechanical System Analysis

Contact

Center for Cyber-Physical Systems (CPS)
Industrial IoT and Automation Research Group (IIARG) 
National Electronics and Computer Technology Center (NECTEC)
Tel. : (+66) 2-564-6900 ext 2578, 2068

]]> Smart Machine and Mixed Reality (SMR) https://www.nectec.or.th/en/research/iiarg/smr.html Thu, 16 Jun 2022 02:00:19 +0000 https://www.nectec.or.th/en/?p=21722

The Smart Machine and Mixed Reality (SMR) Research Team conducts research in the field of advanced robotics and automation technology. In the near future, with advancements in Artificial Intelligence (AI) and microprocessor technology, smart machines or robots are expected to become smarter and capable of performing more complex tasks than ever before. Additionally, the demand for smart robots is increasing due to Thailand’s aging population. However, there are still some limitations that prevent robots from fully realizing their potential. These areas require further research and studies to overcome. Therefore, SMR focuses on research and development in AI and related fields of robotics.

In the past, SMR collaborated with the Electricity Generating Authority of Thailand (EGAT) on the Generator Inspection Vehicle (GIV) project. The GIV is a mobile robot designed to navigate between the narrow gap between a generator’s rotor and stator. The initial version of the GIV has been utilized by EGAT for maintenance services of power generators since 2015 and continues to be employed to this day.

In addition, SMR is currently engaged in projects related to smart factories, including the development of mobile robots and inspection robots. These robots will be increasingly necessary in Thailand’s industrial sector as the country transitions to the Industry 4.0 era. Another emerging technology trend that SMR is also interested in is Digital Engineering. Digital Engineering encompasses Virtual Reality (VR) and Augmented Reality (AR), which serve as bridges between the virtual and real worlds. These technologies enable users to visualize and comprehend intricate tasks and provide enhanced experiences in interacting with information in the cyber realm, thereby improving work efficiency.

Vision 

To be a research team that excellence in the development of intelligent automation system utilizing Artificial Intelligence and Digital Engineering technologies as well as building innovation together with both local and international organizations.

Mission

  • To research, develop, and engineering design to build innovation in Robotics, AI and Digital Engineering fields.
  • To work with an alliance for sustainable development of automation systems that have been used in industry.
  • To support the Sustainable Manufacturing Center’s (SMC) missions to help industry sectors.

Core Technology

  • Service Robot for professional use
  • Machine Vision and Artificial Intelligence
  • Virtual and Augmented Reality
  • Autonomous Mobile Robot

Renown Projects

  • Industrial Prototype – Generator Inspection Vehicle v.1 (2015) and v.2 (2020) 
  • Industrial Prototype – Combine Harvester and Excavator Virtual Reality Simulator (2018) 
  • Industrial Prototype – Planning Algorithm for Gas Turbine Spare Part Management (2013) 
  • Industrial Prototype – Steel Rod Cutting Management Software v.1 (2012) and v.2 (2018) 
  • Commercial Prototype – Slide Staining Machine v.1 (2013) and v.2 (2017) 
  • Industrial Prototype – CNC Controller for Milling and Turning Machine (2010) 
  • Field Prototype – UAV for Wild Fire Monitoring (2020) 

Members & Expertise

  • Pished Bunnun, Ph.D. : Machine Vision, Digital Real-Time Control System, Robot Operating System, Augmented Reality
  • Kittipong Ekkachai, Ph.D. : Optimization, Man-Machine Interface, Neural Network, ROS2
  • Wutthiphat Covanich, Ph.D. : Reconfigurable manufacturing system, Digital Real-Time Control System, Machine Vision
  • Wuttikorn Chaopramualkul : Motion Control System, CNC & PLC System, Embedded Programming
  • Udom Komin : Automated Manufacturing System, Multi-Axis Motion control, Fuzzy Systems, Adaptive Control, Robot Control
  • Prakob Komeswarakul : Embedded System, Modbus RTU
  • Apicit Tantaworrasilp, Ph.D : Robot Design, Embedded System
  • Pongsakorn Seekhao, Ph.D : Man-Machine Interface, Motion Control, Channel Coding in Communications
  • Sirichai Nithi-uthai, Ph.D. : Machine Design , Robot Control
  • Phanuphan Kwansud : Wiring, SCH & PCB Design, CAD/CAM Design
  • Teesid Leelasawassuk, Ph.D. : Image Processing, Machine Vision, Pattern Recognition, Gaze Detection, Machine Learning
  • Vitvasin Vimolmongkolporn, Ph.D. : Mechanical Design, Virtual Reality, Robotic, Human-Robot Interactions
  • Pichet Pudson : Man-Machine Interface
  • Rachan Chaihan : Mechanical Design, Embedded System
  • Sukkpranhachai Gatesichapakorn : Machine Vision, Machine Learning, DevOps, Embedded System, Robot Operating System, Backend API
  • Nicha Apichitsopa, Ph.D. : Computer Vision, Deep Learning, Image Processing

Contact

Smart Machine and Mixed Reality (SMR)
Industrial IoT and Automation Research Group (IIARG) 
National Electronics and Computer Technology Center (NECTEC)
Tel: (+66) 02-564-6900 
email : smr[at]nectec.or.th

]]> Digital Technology Evaluation and Certification Institute (DTEC) https://www.nectec.or.th/en/research/dtec.html Thu, 16 Jun 2022 01:00:05 +0000 https://www.nectec.or.th/en/?p=21693

DTEC is the first product certification body in Thailand that accredited  ISO/IEC 17065. We are established for providing certification service in the field of technology digital (i.e Data Center, Software), electronics and computer by using Thai and relevant standards.

Core Technology

  • Standard development
  • Product evaluation and certification service
  • Product inspection

Contact

Digital Technology Evaluation and Certification Institute (DTEC)
National Electronics and Computer Technology Center (NECTEC)
Tel: (+66) 02-564-6900 ext. 2081…4
Fax: 02-564-6889
E-mail: dtec@nectec.or.th
Website: https://www.nectec.or.th/dtec

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