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:
Electrical Discharge Machining (EDM) is a non-conventional cutting operation for based of materials removal to the core fact which conceder insignificant force of tool is created through the process of machining. Also, EDM used in produce hard materials that have electrical conductivity. In EDM process, the pivotal topical parameters are Material Removal Rate (MRR), Surface Roughness (Ra) and Micro Hardness (HV). The traditional try and error way to define the influence the parameters of machining on the objective parameters is time consuming as well as high cost. The aim of this work is to evolve a mathematical model using multiple regression to describe the effecting of three machining parameters (pulse on time, pulse off time and current) on the objective parameters. 27 samples were run by using computer numerical control based EDM machine which used for machining steel 304 with a dielectric solution of gas oil by using DC current values. Three predicted models have been developed using multiple regression methods show a reliable accuracy to be used in this kind of cutting process. The result of this work is helpful to be performed in the industry to decrease the time and cost in MRR, Ra & HV prediction
Home automation system refers to the automated or remotely controlled household features that are generally aimed to improve the quality of life. In the technology era, various smartphone-based home automation system is developed. However, this kind of design might not be suitable for the elderly and disabled population due to their technological literacy in handling smart devices. The motivation of this project is to assist their daily activities when they are alone or not under care to help them live more independently. This paper presents the designing of a home automation system for elderly and disabled using verilog algorithm. The developed home automation system included front-end digital Integrated Circuit (IC) design up to logic synthesis process using Synopsys and was implemented on an Altera Field Programmable Gate Array (FPGA) using Quartus II. This system incorporated alert features besides common household controlling features and it was successfully prototyped using FPGA. The RTL was synthesized into a gate-level netlist and the lowest clock period 8 ns while slack for setup time and hold time are 1.64 ns and 0.18 ns
Geothermal power plant is one of the alternative energy potentials and the utilization is by convert to electrical energy which produces emissions in the form of Hydrogen Sulphide (H2S). These emissions are transformed to sulphur dioxide (SO2) when released into the atmosphere which are identified through information and land cover. The purpose of this study was to determine the SO2 Concentration and Land Cover Change from a Geothermal Power Plant (PLTP) in Mataloko, Flores Indonesia. This study is descriptive using survey and qualitative methods. The number of samples used was 27 SO2 obtained from 3 power plant areas namely, MT 4, MT 3 and 5, and MT 1 and 2 wells. SO2 Test was carried out using the pararosanilin method with a spectrophotometer while land cover mapping was carried out using time series satellite images from Google earth. The result of this study showed that sulfur dioxide gas (SO2) from the Geothermal Power Plant in MT 4, had a very high SO2. This was because its location was very close to the Plant with 50m distance. The results of land cover seen on the map in 2017 were still the same with previous years (2011, 2013 and 2015), which were dominated by secondary forests and agricultural land. The overall area of vegetation around the Mataloko geothermal power plant did not experience significant changes due to these emissions.
Sparse Representation Classifier (SRC) is one of the popular and efficient methods of classification for biometric traits. Redundant dictionaries for training samples are created in SRC classification which requires complex mathematical computation. This complexity further increases when the entire training set of samples is used for the classification of the test sample. In this paper, an efficient heart sound recognition algorithm is proposed based on a combination of the two classification methods, namely, Nearest Centroid Neighbor and Sparse Representation Classification (kNCN-SRC). In this method, firstly, k nearest centroid neighbors for the test sample are computed, and then the test sample is classified by sparse representation classification with respect to the k selected nearest neighbors. The proposed kNCN-SRC method showed a significantly increased recognition rate of 8.63% when compared to that of the SRC. This improved recognition rate is due to the selection of nearest neighbors as training signals for classification by SRC. Also, as the selection of training signals is based on the nearest centroid neighbor, this improves the recognition rate as the best training signals are selected for classification by SRC. The findings of the present study showed that the kNCN-SRC classification method demonstrated an improved recognition rate and was found to be a more suitable classifier than SRC for heart sound biometric systems
urban centers are in continuous development due to different circumstances from the past till now, and sometimes due to the needs or for a specific reason enormous changes have been occurred. When changes occurred in the transportation means and cities expanded some of the major changes were developing of new areas and new axis. The research aims to identify the role of morphological changes and their mechanism and how they impact on the changes of the structure of the city however there is lack of clear vision about the mechanism of how change in land uses in the traditional area that consequently affects the changes of urban structure. The research is based on the hypothesis that states; the structural characteristics of the traditional center of Sulaimani city as one of a major city in Kurdistan region on Iraq (KRI) including the space organization has been to change the effect of the morphological changes represented by changing of land uses from residential form to commercial or services area, The city of Sulaimani was chosen for the case study since it is regarded as a model for the urban structure that testified structural changes at a partial and a whole level. The space syntax methodology has been adopted for the identification and characterization of space organization properties and changing in city structure, the case study area has been studied during three different periods of time to analyses the changes that has been occurred in the area. Finally, the study found the effect of changes in the morphology, which is clearly obvious according to the distinctive changes happened in the area was reflecting the structural system
