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:
To date, many academic studies have been conducted on the topic of Universal Design (UD). Besides, several design guidelines have been developed to inform policy and guide architects to design buildings which can accommodate people with various abilities and disabilities, and different attributes as well. Though, it is unclear whether the existing UD guidelines are able to assist architects in designing shopping malls based on UD principles. Thus, this present study systematically assessed the capability of UD guidelines to address the shopping mall design indicators. This study also determined the significance of these indicators in UD guidelines. The findings showed that the “stairs” and “architectural wayfinding” were the most significant (significance score = 2.67) and least significant (significance score = 0.33) shopping mall design indicators, respectively, in UD guidelines. In addition, the most capable and least capable UD guidelines in addressing the shopping mall design criteria were the Centre for Excellence in Universal Design (capability score = 33) and the CEN/CENELEC (capability score = 4), respectively. The findings of this study can help architects to select the best UD guideline for designing the shopping malls which follow the UD principles. In addition, more comprehensive UD guidelines can be proposed in the future based on the findings of this study
This study reviews the empirical literature of intellectual capital and firm performance. It increases the current understanding by classifying the previous studies within a taxonomy in order to highlight critical issues regarding the research topic. The current investigation aims to provide an up-to-the-minute literature review of intellectual capital to; identify the major themes developed within this research stream; investigate the research directions and highlight the challenges, recommendation and derive insights to guide future research agendas for the benefit of researchers and intellectual capital users. The systematic reviewing procedures followed PRESMA protocol, wherein the time limits between 2014 and 2019. The research identified that primary challenge encountered by all researchers was measuring intellectual capitals. The complexity of the relationships between the elements of intellectual capital as each element consists of sub-element and each element of intellectual capital has different level of importance over the other elements. Besides, the aggregation of the intellectual capital component affects the accuracy of measurement. Therefore, the investigation concluded in the best method of evaluation and measuring intellectual capital is measuring each element alone based on real data extracted from the firm. However, some studies indicated that human capital is the most important intellectual capital component and companies could gain competitive advantage by incorporating great human capabilities, talents, and creativity since great human talents can make the difference
The current study relied on the adequacy of drinking water in the city of Sulaimani, and for the purpose of knowing the adequacy of the amount of water produced from projects that feed the city, the actual production amount of these projects is divided by the estimated population of the years 2010-2032 in light of the approved standard for the current year and then compared with water demand in the mentioned period by applying some of statistical analysis techniques for infrastructure projects management . The management of infrastructure in general and water distribution in specific is one of the most important challenges faced by the cities of the developing world, because of the delay in many service and development areas and it becomes more difficult when it comes to a city such as the city of Sulaimani in Kurdistan region of Iraq, which suffered for many years from suppress of political and economic bad conditions. Hence the research as a case study in the management of water demand by using GIS and Satellite remote sensing techniques. The research aims to identify how to manage the water distribution networks in some of urban areas of Sulaimani city to help decision makers reach less costly and timely solutions through the collection, storage, editing, analysis and managing of geodatabase, with focusing on mixed methods analysis of water distribution and demand for problem solving through spatial and statistical analysis. ArcGIS and other database software have been proposed as a means of building database on the systems and networks used to provide more accessible water demand estimation
Identification of maturity of tomatoes in general is still mostly done manually by farmers. Manual way is done based on visual observation directly on the fruit to be classified. The development of information technology enables the manufacture of sorting tools by identifying the level of maturity of tomatoes which is very useful for farmers. From 5 times the test with different tomato obtained tomato average data taken on serial communication and digital scales, the system has accuracy 99.84%. The servo motor pusher tomato testing the best movement of Servo Motor is known from the actual angle in coding (90 °) with servo motion angle motion (92.12 °) obtained error of 0.97%. The accuracy on the fall of the tomato from the conveyor is 76,67%, the test scenario is done by measuring the tomato falls on the Switcher at the corners of Grade A, B, and C
Tomato is a fruit that is consumed every day by the Indonesia population Identification of maturity of tomatoes in general is still mostly done manually by farmers. The development of information technology enables the identification of fruit maturity level based on ciitra with the help of computer. This computational way is done by using the camera as an image processor of the recorded image (image processing). The tomato fruit is identified based on the image HSV input obtained from the capture result, after obtaining the HSV for its quality detection. From several samples of grayscale data pattern of tomato fruit with different quality levels obtained by several groups of maturity level, some of the maturity level will be clarified with Learning Vector Quantization algorithm with HSV data is processed into HSV data and classified by this algorithm to get maturity level and accurate quality. This system has accuracy 76.67%
