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    Small gardening robot with decision-making watering system
    (2019-01-01)
    Tangtisanon, Pikulkaew
    At present, people who live in the countryside tend to move downtown in order to get jobs. As a consequence, only elders and children live in their hometowns with plenty of land left uncultivated. The aim of this research is to build cheap small gardening robots to help people grow plants in small yards as a hobby via a long-distance communication system. In this research, two robots composed of Raspberry Pi and ESP32 microcontrollers, which are low-price controller boards and convenient to buy within the country, were constructed. The robots can be controlled from long distances using Android smartphones. The capacities of the two robots with the two types of microcontroller are compared and discussed. To measure the soil moisture content, two types of moisture sensor, which are capacitive and resistive sensors, were implemented in this project. There are two main functions of the proposed model, which are weed cutting and watering plants. Moreover, a decision-making watering system was implemented and connected to moisture sensors and sprinkler controllers placed in the user’s garden. The robots were placed in the northern region of Thailand, while the user stayed in the central region and remotely controlled them with a smartphone for three months. The results show that the automatic watering system is better than a manual watering system since the plant growth rate for the automatic watering system was 20% higher than that for the manual watering system.
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    Real time human emotion monitoring based on bio-signals
    (2018-12-10)
    Tangtisanon, Pikulkaew
    Nowadays, medical technologies are rapidly improved leading to an increasing of life expectancy that caused ageing society problems. The most vital issue for elders is a health problem in both physical and mental aspect. This paper focuses on emotional monitoring and warning system using human Bio-signals in real time. The signals come from galvanic skin response and heart rate sensor that attached with a wristband wearing by the elders. The two signals are sent to a server as inputs, calculated using Fuzzy set variable model then return emotion and health status of the elder as outputs stored in the server. The proposed system is run based on ubiquitous computing so caretakers can monitor for the elder’s emotion in real time anywhere, any time. Moreover, the caretakers also get automatically alerts from the system in a case that the system returns an irregular health status of the elders. Experimental results show that the proposed system was run with a high accuracy rate.
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    Integrated factor analysis and fuzzy analytic network process (FANP) model for supplier selection based on supply chain risk factors
    (2015-01-01)
    Sinrat, S.
    ;
    Atthirawong, W.
    Currently, the supply chain management is an important part of several organizations. The risk in supply chain is a potential variation of outcomes which decreases the efficiency in operations. The supplier selection is one of the most critical functions to the success of a manufacturing firm. The objective of this study was to develop the supplier evaluation in supply chain risk approach based on an integrated factor analysis and Fuzzy Analytic Network Process (FANP) model. The model has applied to an electrical and electronic industry in Thailand. The framework of this study had two main thoughts. The first part was to investigate supply chain risk factors from data collection via questionnaire. The questionnaire was answered by 225 respondents in electrical and electronic companies in Thailand. By means of the statistical technique of factor analysis, it was revealed that supply chain risk factors can be categorized into six factors and thirty sub-factors. The second part was to develop a mathematical model for supplier selection decisions via using FANP by incorporating supply chain risk factors acquired from the first part. A detailed step by step implementation method for determining fuzzy scales and calculating weights factors and sub-factors were discussed and finally issues prioritize risk value for alternative best supplier were also mentioned.
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    Separately excited DC motor drive with fuzzy self-organizing
    (2007-12-01)
    Tipsuwanporn, V.
    ;
    Numsomran, A.
    ;
    Klinsmitth, N.
    ;
    Gulphanich, S.
    This paper presents the algorithm for speed control of a separately excited dc motor (SEDCM) drive with fuzzy self-organizing. The objective is to design the system that can learn, increase, reduce and modify rule in knowledge base or rule base to suit the case and set response within acceptable area. The concepts about state analyze and performance measure are used to determine the modification rule in the knowledge base. The structure of fuzzy self-organizing controller consists of self-organizing control, dc chopper and speed sensor devices. For the control method, the close loop speed techniques are applied. The fuzzy self-organizing algorithm is experimented by controlling the speed of separately excited dc motor. The rules of fuzzy self-organizing with separately excited dc motor is to see response when load is changed. © ICROS.