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:
Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery
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
