ISSN: 0125-2364, Online ISSN: 2586-9531

Volume 50 No.2 May - August 2022


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หน้าปก

หน้าปก

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ปกใน

ปกใน

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บรรณาธิการแถลง

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สารบัญ

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P.093-101

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Increasing Efficiency in Detection of Helmet with Data Augmentation

การเพิ่มประสิทธิภาพการเรียนรู้เชิงลึกเพื่อตรวจจับการสวมใส่หมวกกันน็อกของผู้ขับขี่รถจักรยานยนต์ด้วยเทคนิคการเพิ่มข้อมูล

บุญญากร ท่องมนต์วิทย์ จิรายุส ดีผาด และ เกรียงศักดิ์ เตมีย์*

Accidents caused by the motorcycle rider do not wear helmets are an important problem. of course, it’s not just fatalities that helmets help to prevent. A helmet could help the motorcycle rider to avoid serious injuries. Therefore, the motorcycle rider should wear helmets. At present, A system to detect people not wearing helmets using Deep Learning is already have, which an effective system have to a lot of data. This research has data limitations, so there's not enough data for training. For this reason, The Data Augmentation is used to increase the amount of data. It can be concluded that use of Data Augmentation resulted in increased efficiency from 90-95% to 99.3%.


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Preparation of the Cobalt Oxide and Activated Carbon Composite for Supercapacitor Application

การเตรียมวัสดุคอมโพสิตโคบอลต์ออกไซด์และคาร์บอนกัมมันต์สำหรับประยุกต์ใช้เป็นขั้วไฟฟ้าในอุปกรณ์ตัวเก็บประจุยิ่งยวด

ณรงค์ชัย นุ่นไธสง และ วิรัตน์ เจริญบุญ*

In this paper, cobalt oxide (Co3O4) and cobalt oxide/the activated carbon (Co3O4/AC) composite was synthesized by a chemical precipitation process. The crystal structure was studied using X-ray diffraction (XRD) technique. The findings show that cobalt oxide have a cubic structure. The morphology was studied using scanning electron microscopy (SEM). The SEM results showed that the Co3O4 had a nano-size which is a particle size in the range of 50-100 nm, and well distributed. The average pore size and specific surface area were analyzed by Brunauer-Emmett-Teller (BET) method. The specific surface area and an average particle size of the Co3O4 particles are approximately 89.6 m2/g and 51.8 nm, respectively. Whereas Co3O4/AC composite and AC samples have a specific surface area of 750.5 m2/g and 1066.0 m2/g. In an electrochemical study, the Co3O4, Co3O4/AC, and AC were coated on nickel foam by the doctor blade technique. Co3O4, Co3O4/AC and AC give specific capacitance of 184, 80, and 23 F/g when measured at a current density of 1 A/g, respectively. When performing a charge and discharge test with a small current density (1-3 A/g). Co3O4 gave the highest specific capacitance, possibility because Co3O4 was more redox-active than the AC and Co3O4/AC composites, respectively. It was found that when tested at high current density (5 A/g), Co3O4/AC composite material has specific capacitance, the power density and energy density values were greater than the other sample, with values of 55 F/g, 3747 W/kg, and 17.3 Wh/kg, respectively. Moreover, they were also stable up to 100 percent of the retention efficiency after the 1000 charge-discharge cycle test. The Co3O4/AC composite has high power density and high energy density characteristic. The makes Co3O4/AC composite material suitable for use as a supercapacitor electrode.


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The Web Application Development for Information Dissertation Retrieval for Undergraduate, Department of Statistics, Faculty of Science, Khon Kaen University

การพัฒนาเว็บแอปพลิเคชันเพื่อการค้นคืนสารสนเทศปริญญานิพนธ์ สำหรับปริญญาตรี สาขาวิชาสถิติ คณะวิทยาศาสตร์ มหาวิทยาลัยขอนแก่น

ภานรินทร์ อิ่นแก้ว พุธิตา เจือจันทร์ และ วิชุดา ไชยศิวามงคล*

The research purpose is to develop a web application for dissertation retrieval. This research was categorized in an investigation and methodology development category under the core concept of the life cycle of the system development. The users in this study were divided into 3 groups: (1) undergraduate students, (2) lecturers, (3) administrators from Department of Statistics, Faculty of Science, Khon Kaen University. Currently, there are many applications for dissertation storation such as AppSheet, Microsoft Excel and Microsoft Word. Moreover, the code for dissertation retrieval was not in a standard format, so it brought about an inconvenience to search and check the dissertation. These brought to research for developing a Web Application for dissertation retrieval which could be more friendly to use at any time via the Internet network. We provided a support system in 4 main important processes: logging in, adding, retrieving, and organizing the dissertation on the 7 tables database. The user interface is consistency the above 4 processes. The group of lecturers and administrators can access various statistical reports including the overall number of dissertations categorized by a main advisor and a group of 11 statistical contents. There could bring about the idea for building on new projects, planning and developing the curriculum. The group of administrators can easily access to manage information via the web. The users tried out and assessed of the system. There was a high satisfaction level from the undergraduate students and lecturer in the Department of Statistics (x̄ = 4.04; S.D.= 0.74 and x̄ = 3.81; S.D. = 0.74, respectively), and the highest satisfaction level from the administrator from the satisfaction assessment (x̄ = 4.30; S.D. = 0.69).