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Sequence Alignment Algorithm Block Parallelism via CPU Threading via OpenMP and GPU Computing via CUDA Permalink
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High-School CanSat Model for Advancement of Agricultural Process in Thailand
TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, AEROSPACE TECHNOLOGY JAPAN
2021
Bhavat NGAMDEEVILAISAK, Chayakorn VONGBUNSIN, Chayanin UTHANPATHUMROS, Vivatsathorn THITASIRIVIT, Phachara PHUMIPRATHET, Peeramed CHODKAVEEKITYADA
Abstract
Thailand's agriculture is economically remarkable but most of agriculturists and farmers, on the contrary, have significantly low profit. Nowadays, technology is used to solve many agricultural problems, especially analyze area to find the most suitable crops and area for efficient growth rate of crops. Agricultural Exploration Assistant Satellite or AEASat is the CanSat prototype that participated in Thailand CanSat Competition 2018 and received The First Place Winner and The Best Presentation Awards. The goals of AEASat are to study environmental growth factors (temperature, relative humidity, average rainfall, carbon dioxide intensity, red and blue light intensity) of six Thai economic crops (rice, cassava, maize, sugarcane, rubber tree, palm) and find the most suitable area for many agricultural actions. The first mission of AEASat takes place in Chai Badan, Lop Buri Province, Thailand. Electronic structure of AEASat is categorized into four floors respect to their functions: sensors floor, main controller floor, data logger and wireless communication floor, and power management floor. Another part of the mission is the ground unit. The ground unit also collects environmental factors including light intensity which AEASat does not collect. The last part of the mission is ground station. The function of the ground station is receiving data from AEASat with wireless 488-MHz-frequency LoRa module. The ground station is also used to track AEASat from deployment to a touchdown. Qualitative data and quantitative data are analyzed with different methods. The qualitative data is evaluated to find the growing suitability in the area by using Geographic Information System (GIS) software. Aerial photograph, a part of qualitative data, is analyzed by visual interpretation. The quantitative data is analyzed by calculating average of the correlation coefficients of six factors by using MATLAB. It is calculated in order to find the most suitable crop out of six to grow in the area. As a result, sugarcane is the most suitable crop to grow in Chai Badan area. Agriculturists and farmers can have access to website which the results, detail, and description of the exploration are uploaded. In conclusion, if agriculturists and farmers grow the crops as advised, they can expect more products quantity.
High-altitude balloon platform for studying the biological response of living organisms exposed to near-space environments
Heliyon
2024
Sumeth Klomchitcharoen, Pongsakorn Wechakarn, Tanchanok Tangwattanasirikun Noparin Smerwong, Phubase Netrapathompornkij, Thanapat Chatmeeboon, Norawit Nangsue, Vivatsathorn Thitasirivit, Krin Kaweewongsunthorn, Suvijak Piyanopharoj, Phachara Phumiprathet, Yodchanan Wongsawat
Abstract
The intangible desire to explore the mysteries of the universe has driven numerous advancements for humanity for centuries. Extraterrestrial journeys are becoming more realistic as a result of human curiosity and endeavors. Over the years, space biology research has played a significant role in understanding the hazardous effects of the space environment on human health during long-term space travel. The inevitable consequence of a space voyage is space ionizing radiation, which has deadly aftereffects on the human body. The paramount objective of this study is to provide a robust platform for performing biological experiments within the Earth's stratosphere by utilizing high-altitude balloons. This platform allows the use of a biological payload to simulate spaceflight missions within the unique properties of space that cannot be replicated in terrestrial facilities. This paper describes the feasibility and demonstration of a biological balloon mission suitable for students and scientists to perform space biology experiments within the boundary of the stratosphere. In this study, a high-altitude balloon was launched into the upper atmosphere (∼29 km altitude), where living microorganisms were exposed to a hazardous combination of UV irradiation, ultralow pressure and cold shock. The balloon carried the budding yeast Saccharomyces cerevisiae to investigate microbial survival potential under extreme conditions. The results indicated a notable reduction in biosample mortality two orders of magnitude (2-log) after exposure to 164.9 kJ m−2 UV. Postflight experiments have shown strong evidence that the effect of UV irradiation on living organisms is stronger than that of other extreme conditions.
teaching
DA101: Fundamental Data Analysis
SPACE AC Institute of Technology, 2021
Statistics & Methods of Data Analysis
COMP101: Introduction to Computer Programming (Python)
SPACE AC Institute of Technology, 2023
Computer system components and interactions, memory and disk accesses, data types and basic structures, operations, statements, expressions, control structures, data aggregation, IDEs, programming tools, coding styles and conventions, program development, basic algorithms, high-level programming language problem-solving, software debugging, mathematical libraries usages.