The objective of this research was to study environment changes in orchards by using wireless sensor network and spatial data interpolation technique. The study was conducted by distributing several client sensors into the two study areas for recoding temperature himudity and light internsity. These data are send to a server using 433 MHz radio signal. The results from the first study area in Thachang District shew that the light intensities were significantly changed during 6:00-6:59 11:00-14:00 and 18:00-19:59. For the humidities they were significantly changed during 7:00-8:59 17:00-19:59 and 22:00-23:00 which were quite different from the changing of light intensity. Lastly the temperatures were mostly changed during 7:00-7:59 10:00-14:59 and 18:00-19:59 which were highly related to the changes of light intensity. For the second study area in Angkhiri District light intensities were significantly changed during 7:00-7:59 11:00-14:00 and 18:00-19:59 while the changing durations for the humidities were 9:00-9:59 12:00-15:00 and 17:00-19:59. Very similarly to the light intensity the temperatures were changed during 8:00-8:59 11:00-14:59 and 15:00-17:59. For the communiation distances the maximum distance for transfering data in an open area was 100 meter and 25 meters with obstables.

This paper is a presentation of the Load-Frequency Control (LFC) of Interconnected Power System by using Fuzzy Logic and Artificial Neural Network (ANN) Controller. The both of controller have been widely applied for handling the system control of Industries and Engineering. Since the Load-Frequency behaviors of power system of uncontrolled and PI- Controller or Fuzzy Logic Controller (FLC) wanted to the stability at first of energize and load in a short time. The control system and controller then be significant for to go forward reform stability of interconnected energize power system a short time. In this research we have the Load-Frequency Controller of Interconnected Power System by using Artificial Neural Network Controller the improved can compared with conventional Fuzzy Logic Controller at power total 47.55 MW and load changing of power plan No.3 is 0.02 p.u. (1.75 MW)

This study aimed to 1) the evaluation of the design of Local History WebQuest of Mathayomsuksa 1 students based on constructivism through online social network revealed a high level of quality (= 4.62 S.D.=0.35) 2) the participants who studied Local History by using WebQuest with constructivism through online social network for Mathayonsuksa 1 students showed a better learning progress for no less than 20% 3) the participants’ satisfaction toward studying Local History by using WebQuest of Mathayomsuksa 1 students with the model that has been developed reached a maximum ( = 4.57 S.D. = 0.69).

The purposes of this research were to investigate elements that are essential for the learning environment of creative education on social network to develop creative thinking. The research methodology was documentary research. It was found that there were 3 major elements and 17 sub-elements which were essential for learning environment of creative education on social network to develop creative thinking; namely 1) Creative thinking development or learning process included six steps: (1) problem finding (2) data acquisition (3) analysis (4) solution finding (5) revise/evaluation (6) acceptance finding and (7) convergent thinking; 2) Resources or learning environment included four elements: (1) learning media (2) technology media (3)context and (4)communication; 3) Technologies or online social network in learning environment consisted of six elements: (1) identity network (2) creative network (3) interested network (4) collaboration network (5) gaming/virtual reality and (6) peer to peer communication network.

งานวิจัยนี้นำเสนอการสร้างตัวตรวจจับไร้สาย (Wireless sensor) แบบอัตราต่ำ (Low rate) ที่มีขนาดเล็กราคาไม่แพง ภายในมีส่วนประมวลผล ส่วนติดต่อสื่อสารและส่วนตรวจจับ (Sensing Device) เพื่อใช้ในระบบการเฝ้าสังเกต และตรวจจับการเกิดน้ำท่วม โดยนำมาใช้กับเครือข่ายตรวจจับไร้สาย (Wireless sensor networks : WSN) ข่อจำกัดของตัวตรวจจับอยู่ที่พลังงาน ระยะทางในการติดต่อสื่อสาร และความสามารถในการประมวลผล แต่จะทำงานร่วมกันเป็นเครือข่ายขนาดใหญ่ เพื่อตรวจจับเหตุการณ์ที่ต้องการในพื้นที่ขนาดใหญ่ ที่มีการเข้าถึงลำบากหรือต้องเสี่ยงภัย มีการรับส่งข้อมูลจากจุดตรวจจับ (Sensor Nods) แต่ละจุดรวบรวมและส่งต่อข้อมูลเพื่อนำไปประมวลผลหรือใช้ในการเตือนภัย ในขั้นต้นของการทดลองจะสร้างโนด และหาเปอร์เซ็นต์ของการรับส่งระหว่างโนดหลัก และโนดย่อย