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:
photovoltaic standalone buildings are suffering from energy volatility which mainly caused by weather conditions, for that, it is important to adopt a smart energy management system that able to manage the loads according to the available energy. Add for that the inverter overcurrent fault, which is mainly caused by the loads’ reactive power in a well-designed system. Power factor degrades leads to a decrease in the system’s efficiency and depriving it of the use of all available energy. The proposed system in this article offers a complete solution to manage the consumed energy according to the loads' priorities, available energy, user requirements, and the weather conditions for the day and two days ahead, as well as correct the power factor automatically by reducing the apparent power as well as the total current of the invertor. The presented system adopts an ESP32 microcontroller to monitor and control the loads remotely besides correcting the power factor by adding a capacitive load from capacitors bank and as required. AC power sensors PZEM-004T v3 had been used to monitoring the load's properties include voltage, current, active power, and power factor in the load branches and on the mainline. Results show a promising system that not only managed the consumed energy wisely but also improve the building power factor by 0.9
In order for an enterprise to get the best out of its employees and gain a high return of its investment, the Human Resources (HR) should be well managed. To have a good relationship at Small and Medium Enterprises (SMEs) and to have better practices, using Human Resource Management (HRM) is the option to have them thereby enhancing individual/organizational effectiveness. However, enterprise data are increasing enormously, therefore flexibility, scalability, cost of money, and efficiency are crucial challenges faced by SMEs. Another problem is the separated locations of HRs that result in a communication gap thus slow decision-making, inefficiency in data processing, and inability in reacting to the environmental challenges instantly. To fulfill the above-stated issues, it is a good idea to utilize cloud computing services to handle the massive data in order to improve HRM where the data stored at a central location (i.e. cloud). Therefore, this paper focuses on some cloud-based HRM within SMEs and explores the advantages and challenges of adopting such emerged technology. As a result of this aggregated study, it is clear that cloud adoption improves the HRM, allows the SMEs to expand, manage HRs in a flexible way, provides easy decision-making for the managers, and increases the productivity of the enterprise. The study also showed that one of the most important advantages of cloud adoption for SMEs is reduced cost while the most crucial barrier is security
