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:
Azerbaijan Medical Journal
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery
Interventional Pulmonology
Zhenkong Kexue yu Jishu Xuebao/Journal of Vacuum Science and Technology
Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering)
Zhonghua yi shi za zhi (Beijing, China : 1980)
This paper introduced new optimization method called improved salp algorithm to development totally covered area with low cost and low radiation in heterogeneous microcellular system for wireless private network. The sensible planning of deep coverage has become increased protrude for location and many base stations that can meet signal coverage of most outdoor environments, but some terminal stations are required with appropriate depth coverage systems and taken with consideration the deep indoors. The proposed algorithm (combine salp optimization algorithm with genetic) are used to complete indoor data collection and a deep coverage optimization. This method aim to improve the original algorithm with enhances the interaction ability between individuals and the information cross-mutation which used to improve the search speed of the algorithm. The simulation results show that the proposed algorithm can effectively optimize multi-target indoor wireless network planning
Software watermarking refers to the process of concealing/hiding information in a source code or program to ensure its protection from piracy. Such information hiding is important since software piracy is one of the problems encountered in the software industry that leads to great financial losses annually. Software protection from piracy requires several prevention measures that will ensure the protection of the copyright of its codes; such protection can be provided using both software and hardware. Regrettably, there is currently no single technique that is robust enough to protect software codes from piracy. However, software developers are currently considering a combination of different approaches that will ensure better protection of software codes from piracy; such methods include encryption, watermarking and steganography. In this paper, authors address this issue through a prevention technique which is software watermarking in conjunction with encryption. Our software watermarking proposed scheme is based on some of the unique code features such as (Semicolon;, round brackets ( ), square brackets). Therefore, the main thought of the suggested scheme is using these features of any language programming to embed watermark information using the new proposed scheme called the White Space Scheme (WSS). Chaotic map is used to encrypt the watermark image before embedding the algorithm of the watermarking software. The experimental test and performance analysis have two parts for watermark encryption and software watermarking and have demonstrated better performance of the proposed scheme in terms of space size, time execution and security
