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:
Exploration is one of the activities of the mining process which aims to obtain information about the geological conditions of a deposit that is below the surface of the land. Exploration activities have risks and require a large cost. Therefore, a more accurate estimation method is needed in determining the value of areas that are not sampled in exploration based on the surrounding data. In coal deposits, there are two main output parameters which are coal thickness and quality. In this study, the coal quality parameters used are calorific and sulfur values. In this study, we will compare the Kriging method with Inverse Distance Weighting, in estimating coal thickness and quality. The aim is to find out the most accurate estimation of coal thickness and quality between the Kriging and IDW methods based on the Root Mean Square Error (RMSE) value. The method of testing the estimation results is cross validation. The choice of the variogram model is based on the lowest RMSE value. The research method used is a quantitative method. Coal exploration data in the form of bar data were analyzed with descriptive statistics with Minitab 17 software and continued with geostatistical analysis using GS + software. From the results of the calculation of the two estimation methods, it was found that the kriging method was more accurate than the IDW method based on the lower RMSE Kriging value on the thickness data, calorific value and coal sulfur worth 1,622 m, 71,504 Kcal / Kg, and 0.140% compared to the IDW method RMSE on coal thickness, calorific value, and sulfur data are 1,704 m, 74,731 Kcal / Kg, and 0.142%
Regeneration of local cultural heritage is one way to strengthen the uniqueness and identity of the city in the era of globalization, that frequently seen as a threat to the existence of city identity. It is a very relevant issue for the corridor of Jalan Masjid Jamik, as a part of the historic downtown area in the city of Pangkalpinang. Hence, the purpose of this study is to investigate the phenomenon of local character transformation in the corridor of Jalan Masjid Jamik. In this descriptive study, the identification and classification of architectural style of the facade elements of 62 buildings, as the research sample, was conducted by the author objectively and by subjective confirmation from the building owner. The results of the study exhibited that the city corridor of Jalan Masjid Jamik still has a strong Malay identity or character, because buildings with Malay architectural facade designs were observed predominantly. This local character appears alongside the global character dominated by Art Deco and Modern architectural style. The scale of trading and services conducted is one of the factors affecting the transformation of local character in the study area
Automatic License Plate Detection and Recognition (ALPD-R) is used in traffic, security and parking management systems. In this paper, deep semantic segmentation methods are used for license plate detection. Three different deep segmentation methods are considered in license plate segmentation. They are SegNet, Fully Convolutional Network (FCN) and Densely-Connected and Concatenated-Multi-Encoder-Decoder (DCCMED) network. These models are further trained on the same training data set and tested accordingly. Visual and numeric evaluations are used to validate the performance of the proposed work. Recall, precision and F-measure values are calculated. According to the obtained results, FCN outperforms the recall, precision and F-measure values are 0.6410, 0.9043 and 0.7491, respectively. The DCCMED produces the second best evaluation scores where obtained scores are 0.4955, 0.9188 and 0.6493. Finally, the worse segmentation scores are produced by SegNet architecture. Its achievements are 0.4916, 0.7704 and 0.5913, respectively. Hence, the DCCMED’s precision value is higher than the SegNet’s and FCN’s precision value
Excel actually becomes influential once you start using functions, which are mathematical formulas that assistance you rapidly and effortlessly make calculations that would be difficult to do by hand. Functions can do various things to speed up your calculations. Excel doesn’t have a default function that displays numbers as English, Kurdish or Arabic words in a worksheet, but you can add this capability by pasting the WrittenNumber function code into a VBA (Visual Basic for Applications) module. This function lets you convert numbers to words with a formula, so (22.50) would read as Twenty-Two Point Fifty. This can be very useful if you're using Excel as a template to print Student's marks/degrees. This study covers example Microsoft Visual Basic for Applications functions that you be able to usage to convert a numeric value in a MS-Excel Spreadsheet cell into its equal value in English, Kurdish or Arabic words. When you want to convert numbers in English, Kurdish or Arabic words; select a WrittenNumberEn, WrittenNumberKr, or WrittenNumberAr Function. It was expected that there would be many end-user program writers in various dissimilar fields like accounting, insurance and banking, and the numbers are not estimated to have diminished later. Therefore, technical improvements of spreadsheets are of unlimited attention to a varied number of persons from diverse experiences
The choice of investment destination location is an important consideration for entrepreneurs who carry out international strategies. The company’s main goal in implementing international strategies is to improve organizational performance. The key to the success of FDI is occupying the right investment destination location. Given the potential of information sharing about the factor that influence FDI choosing investment destination location and its effect to on improving organizational competitiveness, especially in developing countries such as Indonesia, is important to understand how Indonesia attract inflow FDI. This paper addressed this important issue by studying determining locational choice of organizational decision system to intensify of the competitiveness in Indonesia. The analytical method used in this research is statistical method using Structural Equation Model (SEM) approach. Study result are as follows: (i) FDI that choose Indonesia as the investment destination is influenced by investment climate considerations, and (ii) FDI which choose Indonesia as the investment destination location based on the investment climate approach succeeded in increasing organizational performance
