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:
Recent studies suggest a potential relationship between dynamic capability and innovation performance in achieving a successful business. The contribution of dynamic capabilities to innovation performance remains unclear and at the center of the debate. Based on a systematic literature review, the purpose of this research is to explore how dynamic capability and innovation performance should be assessed in the future. The most promising approach seems to be indirect, as it appears that dynamic capabilities primarily cause change and intermediate outcomes, though far from being the most hypothesized relationship. However, the definition and effects of dynamic capabilities and the role of environmental dynamism are still under discussion. This study is motivated by concerns regarding the nature of dynamic capability while focusing on the connection between dynamic capability and innovation performance; effort should be made toward exploring the relationship as a whole with the organization’s innovative performance, towards a greater knowledge on the role of various dynamic capability components and work environment as significant factors in encouraging innovation performance. The research provides convincing support for the importance of dynamic capability over time, thereby enhancing innovation performance.
The research significance arose from the strong impact of creative accounting (CA) concerns as it depicts a particularly significant issue in light of companies' use techniques. It stands to illustrate the outcome of the acts, in addition to the financial state, of which through the use of creative accounting achieves the short-term and long-term objectives, albeit at the expense of other entities like the persons who invest, persons who analyze, persons who audit and other community groups. In the mentioned instances, creative accounting emerged as problematic in the face of an economic recession. This research aims to investigate creative accounting in previous studies in order to highlight the gaps in this direction by relying on a comprehensive literature review. The current study investigates and analyzes the impact of austerity, culture, and authority differences in the financial sector.
The Internet today, has proven and since become an effective means to share information. There is also the consequent proliferation of adversaries who aim at unauthorized access to information being shared over the Internet medium. Most of these adversaries employ various methods, tools and techniques that are well-crafted to coordinate such attacks – which aim to deny services to authorized users as well as degrade system performance and service quality. The Distributed denial of service attacks have become a major threat to the information society and age in that they are carefully crafted attacks of large magnitude that possess the capability to wreak havoc at very high levels and national infrastructures. This study posits intelligent systems via the use of machine learning frameworks to detect such. We employ reinforcement deep learning method to distinguish between benign exchange of data and malicious attacks from data traffic. Results shows consequent success in the employment of deep learning neural network to effectively differentiate between acceptable and non-acceptable data packets (intrusion) on a network data traffic. (9 pt).
This paper presents the methodology of surface roughness inspection in CNC Turning process. Adaptive Neural Fuzzy Inference System classifier utilizes to predict the high accuracy roughness value with insisting of surface roughness image. The vision system captures the image and determines the mean value by using ANFIS algorithm. Training sets variables speed, depth of cut, feed rate and mean value are feed as the input and manual stylus probe surface roughness value feed as the output. After the simulation process, the testing input performed and finally getting the vision measurement value. This higher accuracy (above 95%) and low error rate (below 4%) can be achieved by using the ANFIS classifier, which is predominantly helpful for the industry to measure the surface roughness. Assign the quality of the product by evaluating the manual stylus probe and vision measurement value.
Flesh and skin of red dragon fruits contain anthocyanins which are potential as a natural dye. This study aimed to improve the stability of anthocyanins using the copigmentation method. The stages on this study were maceration, extraction, evaporation, and copigmentation. The anthocyanins levels in the sample were determined by measuring the absorbance using UV-Vis spectroscopy. Copigmentation was carried out by adding anthocyanins with alum, Al2(SO4)3, in ratio of 1:1; 1:2; and 1: 3 by volume. Stability of the color was tested by storing of the solutions and the cotton fabrics at room temperature for 0, 3, and 6 days. The results analysis showed that the anthocyanin levels in flesh and skin of red dragon fruit were 13.20 mg/100 g and 5.37 mg/100 g. Stability of anthocyanin with copigment alum Al2(SO4)3 in a ratio of 1:1, 1:2, and 1:3 and a storage time of 0, 3, and 6 days of the cotton fabrics showed decreasing in color intensity due to the degradation and temperature. The color change in the copigmented extract to yellow compared to the pure anthocyanin
