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:
In recent years research in the field of Artificial Intelligence (AI) has shown a fairly rapid and extensive development. The application of AI in the form of artificial neural networks in the field of Civil Engineering has also shown significant developments. In line with scientific advances in the field of numerical computing, artificial intelligence, also known as AI, has gained popularity in recent years (AI). One of the branches of AI is Machine Learning (ML). Machine Learning is a smart system that can learn and predict output based on learning done on the system. One form of ML is an artificial neural network (artificial neural network, ANN). ANN is a numerical computation model created by mimicking the workings of the human brain. ANN then developed extensively, with a greater number of neurons or by increasing the number of hidden layers. This development leads to a learning model known as Deep Learning (DL). This paper has an objective to describes how deep learning method, one of AI branch, can be used to predict the compressive strength of concrete, especially geopolymer concrete
Solar energy is a renewable energy that utilizes photovoltaic (PV) to generate electricity. Solar panels are used in automatic plant sprinklers, which are strongly influenced by irradiation from the sun (w / m2) to generate electrical power to activate the PLC device. The PLC device used in this study is the Zelio Smart Relay with type SR2B121JD which has 12 I / O and has a working voltage of 12 VDC, which functions to run the water pump in the watering system automatically. The experimental data collected in the form of solar panel power sourced from solar energy, the power that has been processed by the MPPT Controller, which supplies the PLC and water pump, PLC switching data and water discharge from the output of the solar pump. From the research that has been done, it is obtained direct power from PV with the highest average of 136.52 W and with the lowest average power of 9.25 W. The output power of the PV before becoming the power input for the PLC first passes through the controller so that the excessive or insufficient voltage does not cause damage to the PLC system. It produces the highest average power of127.97 W and the lowest average power of 104.44 W. Automatic plant sprinklers tests are carried out with a programmable control system on PLC memory and running the water pump for 180 seconds on the tests automatically
In this work, Nano powder of (Al1-xZnxFe2O4) with (x=0.2, 0.4, 0.6, 0.8), were synthesized using sol-gel auto- combustion at temperature of 150℃. The structural properties of the compounds were studies using X-ray (XRD) diffraction, energy dispersion radiation (EDX) and field-emission scanning electron microscopy (FE-SEM), show homogenies particle with size in the range of (30-32) nm by using the Debye–Scherrer formula. Dielectric properties in the frequency range (100Hz-5MHz) were evaluated with the measuring device (LCR) meter. Dielectric constant (εr'), loss factor (εr′′) were decreases with increasing frequency, while the Conductivity (sa.c) increased with increasing the frequency
The current purpose of this study is to determine a solution to the inconsistent gap existing between relational capability toward business performance through reciprocal co-creation and market responsiveness from the S-D-L perspective. Reciprocal co-creation is a form of mutual exchange collaboration that uses innovation to develop a new value. In this study, four hypotheses were developed and tested with 115 samples from the apparel industry in Central Java, Indonesia. This research highlights the important role of reciprocal co-creation, which is the ability to mediate the relationship existing between relational capabilities to improve business performance. Market responsiveness significantly affects reciprocal co-creation and relational capabilities, although it does not improve business performance
The purpose of this paper was to use APOS theory to analyse undergraduate students’ understanding of proof by mathematical induction against the backdrop of the genetic decomposition. The 2020 class of 159 students wrote a test with three questions on proof by mathematical induction. A further ten students were selected based on their responses to the test to undertake semi-structured interviews. The students’ responses to the test and the interviews were analysed by classifying whether the students had attained the Action, Process, Object and Schema stages of concept-formation. Results indicated that although students operated at all levels of APOS framework, the majority operated on the Action level. Few students managed to attain the desired Schema mental structure. The use of APOS theory gave us a better insight of students’ understanding of proof by mathematical induction, which can help other researchers to make students’ understanding of other mathematics topics
