Technology Reports of Kansai University (ISSN: 04532198) is a monthly peer-reviewed and open-access international Journal. It was first built in 1959 and officially in 1975 till now by kansai university, japan. The journal covers all sort of engineering topic, mathematics and physics. Technology Reports of Kansai University (TRKU) was closed access journal until 2017. After that TRKU became open access journal. TRKU is a scopus indexed journal and directly run by faculty of engineering, kansai university.
Technology Reports of Kansai University (ISSN: 04532198) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are
in the following fields but not limited to:
Rain attenuation is an important propagation impariments causes by troposphere which degrades the performance of Earth space communication links operating above 10 GHz frequencies. It will be the main challenge to design future Ka and V-bands satellite communication systems with high reliability. The time delay of transmission is considered as a potential technique to mitigate rain fades at these bands. To design and implement this technique requires measured real-time rain attenuation data for desired frequencies which are not obtainable at most of the places. This paper proposes a new concept of rain rate gain which can be defined as the difference of real-time rain rate with and without time delay. For the same period of time at same location, it is assumed that rain rate with time delay can represent rain attenuation with time delay by the proposed method. A model is developed to predict rain rate gain with different time delays from annual measured statistics without delay which is available at most of places. The rain rate with 1-minute integration time was measured at International Islamic University Malaysia, Kuala Lumpur campus for one year and is used to develop the model. The predicted rain rate gain was compared with rain attenuation gain using Ku-band measured data at two locations in Malaysia and found similar behavior. Hence it is recommended that rain rate with delay which is converted from annual statistics can be utilized to analyze time diversity technique at any desired frequency for rain fade mitigation
This study aims to analyze the forecasting the CO2 emission, population, GDP growth of energy consumption in the Rubber, Chemical and Petroleum Industries sectors of Thailand. The scope of research employed the input-output table of Thailand from the year 2000 to 2015. It was used to create the model of CO2 emission, population, GDP growth and predict ten years and thirty years in advance. The model used was the ARIMAX Model and VARMA Model which was divided into two models. The results show that from the first model which predicted the duration of ten years (2016-2025) by using ARIMAX Model (2,1,2), Thailand has average 17.65% higher quantity of CO2 emission than the energy consumption sector (in 2025). The second model predicted the duration of 30 years (2016-2045) by using VARMA Model (2,1,3) shows that Thailand has average 39.68% higher quantity of CO2 emission than the energy consumption sector (in 2025). From the analyses, it shows that Thailand has continuously higher quantity of CO2 emission from the energy consumption. This negatively affects the environmental system and economical system of the country incessantly. This effect can lead to unsustainable development