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:
This study aims to analyze the forecasting the GHG emission, population, GDP growth of energy consumption in the Industries sectors. The scope of the study covers the analysis of energy consumption, and the forecasting of GHG emission population, GDP growth of energy consumption for the next 10 years (2016-2025), and 20 years (2016-2035) by using Vector Autoregressive Model: VAR Model from the Input-output table of Thailand. The result show that petroleum has the highest level of energy consumption, followed by Other Petroleum Products, Cement, Ceramic and Earthen Wares, Cosmetic, fertilizer and pesticides, soap and cleaning preparations, rubber sheet and block rubber, and petroleum refineries, respectively. The prediction results show that these models are effective in forecasting measured by using RMSE, MAE, and MAPE. The results forecast of each model are as follows: 1) Model 1(2,1,1) shows that GHG emission will, increasing steadily to 25.71% by the year 2025 in comparison to 2016.2) Model 2 (2,1,2) shows that GHG emission will rise steadily, increasing to 45.20% by the year 2035 in comparison to 2016
Malicious software or widely known as malware has inflicted a great number of computers and causing many intrusion and damages that wasted a lot of money and resource. Despite having a new variant and type of malware appeared almost every day, traditional worm such as Blaster are still posing threats these days due to its rapid distribution through the internet. This research is previously analyzed manually using packet analyzer namely tcpdump and wireshark which is time-consuming and inefficient. To overcome this problem, an automated script known as Malware Attack Visualization (MAV) Script is developed to automate the visualization of the malware attack scenario. This script is capable to analyze and dissect the network traffic and represent the scenario in visualization. This information is crucial as it helps to identify the sources of the attack and the location of the incurred damage. Thus, this script will help to determine and visualize the malware attack scenario which eases the process of finding the Attacker, Victim, and Victim/Attacker of the attack
Decision tree is an important method in data mining to solve the classification problems. There are several learning algorithms to implement the decision tree but the most commonly-used is ID3 algorithm. Nevertheless, there are some limitations in ID3 algorithm that can affect the performance in the classification of data. The use of information gain in the ID3 algorithm as the attribute selection criteria is not to assess the relationship between classification and the dataset’s attributes. The objective of the study being conducted is to implement the attribute related methods to solve the shortcomings of the ID3 algorithm like the tendency to select attributes with many values and also improve the performance of ID3 algorithm. The techniques of attribute related methods studied in this paper were mutual information, association function and attribute weighted. All the techniques assist the decision tree to find the most optimal attributes in each generation of the tree. Results of the reviewed techniques show that attribute selection methods capable to resolve the limitations in ID3 algorithm and increase the performance of the method. All of the reviewed techniques have their advantages and disadvantages and useful to solve the classification problems. Implementation of the techniques with ID3 algorithm is being discussed thoroughly
The information on the land use and soil conservation practice based on year 2006, 2010 and 2014, hence offering an opportunity to model the impacts of land use change on erosion, deposition and surface water runoff. Limitation in the use of hydrological models had been their inability to handle the large amount of input data that describe the heterogeneity of the natural system. In this study, a procedure that takes into account soil conservation practice based on the land use change, the response of soil erosion and sediment export from the George Town Conurbation catchment area, and average annual sediment yields were estimated for each grid cell of the watershed to identify the critical erosion areas of rural and urban planning proposes. Average annual sediment yield and data on a grid basis estimated using Universal Soil Loss Equation (USLE) and an emerging technology represented by Geographic Information System (GIS) used as a tool to produce a map for erosion rate. The changing of the land use from forest to agriculture and then to an urban area is a challenging task to research on land use demand for population, and environmental impact assessment is important for the planning of natural resources management, allowing research the modification of land use properly and implement more sustainable for long term management strategies. The challenge is to formulate strategies that would promote an integrated approach to the land use planning at an appropriate level as to address the issues that arose. Modelling for creating urban growth boundary for the George Town Conurbation must have to be controlled surface runoff and soil loss and sediment export from land use of the George Town Conurbation catchment
This study analyzes the effectiveness of water-filled rubber weirs from the hydraulic aspect, rolling force stability and shear force on numerical models. The aim is to obtain a form of rubber weir and is easy to use to prevent tides from entering the land and to find the right material characteristics. The research method used prototype weir in the laboratory with a variation of the simulation model of the elevation of the water surface upstream from (5 cm to 50 cm) in the form of trapezoid weir and given the weir arm model with length variations. The variables studied were the calculation of weir's own load and the hydrostatic calculation to find vertical and horizontal moments. Laboratory test results showed that the weir's weight alone was able to withstand the rolling force from the upstream of 3567.27 N/m, and the shear force of 1.20 N/m. The conclusion of this study states that the weir's own weight has a stability figure equal to or higher than 1.20. So that the weir is safe from rolling and sliding, so by modeling a trapezoid- shaped weir it can prevent floods and tides
