• The Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.169-175
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• 2019

Service quality has been a point of discussion from the decades as it is important for customer satisfaction, loyalty and retention. Various models have been proposed to measure the quality in the service sector. Models are modified in accordance with context and geography to assess the quality of service better. This study aims to investigate the impact of the modified e-SERVQUAL model on the customer perception about the existing relation and potential scope of doing business with a bank which in-turn will decide the performance of the bank. Statistical data was analyzed through various tests like reliability analysis, correlation and regression analysis using SPSS 25.0. The primary data of e-SQ and performance was gathered from 721 internet banking users using 32 item questionnaire, representing 72% response rates, of four selected Islamic banks of Malaysia. E-SERQUAL was modified by adding Shariah Compliance information about banks and products for Islamic banking customers. The finding specified that efficient & reliable services, fulfillment, security/trust, and Shariah compliance information have a significant association with the performance of Islamic banks. The research is original and its implications will be helpful for Islamic banks across the world to enhance the online experience of customers, which will help them to retain the customers in the rapid changing virtual environment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.8
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• pp.1408-1414
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• 2008

Development of internet and IP network technology creates various fusion services such as IPTV, VoIP and so on. Next generation IPv6 which will solve lack of IP is very important on IPTV which needs best quality of service about security, QoS and bandwidth. In this paper, we suggest a routing protocol standard in which we can service best quality of image using PSNR which is most commonly used as a measure of quality of reconstruction in image on IPv6 network.

• Current Optics and Photonics
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• v.2 no.6
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• pp.540-546
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• 2018

We propose an implementation scheme for an optical encryption system with hybrid-pattern random keys. In the encryption process, a pair of random phase keys composed of a white-noise phase key and a structured phase key are positioned in the input plane and Fourier-spectrum plane respectively. The output image is recoverable by digital reconstruction, using the conjugate of the encryption key in the Fourier-spectrum plane. We discuss the system encryption performance when different combinations of phase-key pairs are used. To measure the effectiveness of the proposed method, we calculate the statistical indicators between original and encrypted images. The results are compared to those generated from a classical double random phase encoding. Computer simulations are presented to show the validity of the method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.629-631
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• 2016

This paper dealt with the traveling robot for a robot to recognize a face.. This is to be carried out in a robotics basically. At the same time it can be described as utilizing available technology in various fields.In this paper, we envisioned that the operation of the face recognition biometric technology as a security measure in a particular space on the mobile robot.

• ETRI Journal
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• v.43 no.5
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• pp.812-824
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• 2021

Recently, with an increase in Internet usage, users of online social networks (OSNs) have increased. Consequently, privacy leakage has become more serious. However, few studies have investigated the difference between privacy and actual behaviors. In particular, users' desire to change their privacy status is not supported by their privacy literacy. Presenting an accurate measurement of users' privacy status can cultivate the privacy literacy of users. However, the highly interactive nature of interpersonal communication on OSNs has promoted privacy to be viewed as a communal issue. As a large number of redundant users on social networks are unrelated to the user's privacy, existing algorithms are no longer applicable. To solve this problem, we propose a structural similarity measurement method suitable for the characteristics of social networks. The proposed method excludes redundant users and combines the attribute information to measure the privacy status of users. Using this approach, users can intuitively recognize their privacy status on OSNs. Experiments using real data show that our method can effectively and accurately help users improve their privacy disclosures.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.273-280
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• 2021

Financial behavior and financial well-being are two closely related aspects of an individual's financial decision making. This study attempts to investigate the extent to which financial behavior influences financial well-being in the Indian scenario. The data is collected using a structured questionnaire from a sample of 150 respondents. The study employs Financial Management Behaviour Scale (FMBS) (Dew & Xiao, 2012) to measure financial behavior. Factor analysis and multiple regression are performed to find the influence of financial behavior on financial well-being. The findings of the study suggest that except for credit commitment all the other behavioral factors like future security, savings and investments, credit indiscipline, and financial consciousness have a significant impact on the financial well-being of an individual in the Indian scenario. The regression coefficients of financial well-being are strongly determined by financial consciousness. The study is a contribution to the existing behavioral studies literature and the model used identifies the factors that influence the financial well-being in the Indian scenario. The study is conducted during the year 2020, so the results could have been influenced by the economic scenario of the period. The results of the study can be used by financial advisors to understand the financial well-being in the Indian scenario.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.7
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• pp.153-171
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• 2022

To measure economic performance, customer satisfaction indices are constructed. This study proposes an index for banking and telecom, a significant evaluative system for comparing and enhancing customer satisfaction across the industries. The study suggests and examines amendments and improvements to the prior indices and incorporates ignored indicators to propose a punier index for Pakistan. The study is a pioneer in integrating online and offline indices into a single comprehensive model. The study is enriched by the Theory of Reasoned Action and Technological Acceptance Model. A sample of 320 respondents was used. The sample was divided based on gender and marital status. To authenticate the theoretical model, PLS-SEM was applied. We discovered nine latent variables that define customer satisfaction and conclude that a single model can be utilized for e-commerce enterprises as well. The index scores are comparable to the American index for banking and the Turkish index for telecom. Multi-group analysis (MGA) was used to comprehend the differences among the groups. This reveals that customization, design, reliability, and responsiveness induce satisfaction in telecom male and married customers. For the banking industry, the difference exists in complaint handling, customization, corporate image, perceived price, reliability, responsiveness, sentiments, convenience, and security to satisfaction links, image and complaint handling to loyalty links.

• Journal of Preventive Medicine and Public Health
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• v.54 no.3
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• pp.208-217
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• 2021

Objectives: In spite of the importance of green space for reducing obesity-related problems, there has been little exploration of whether access to green space (e.g., parks and recreational facilities) influences the obesity rate of adults in the United States. The purpose of the study was to investigate the relationships among accessibility of green space, obesity rates, and socioeconomic and demographic variables among adults living in the State of Indiana, United States. Methods: We conducted a secondary data analysis to investigate the relationships among accessibility to green space, obesity rates, and socio-demographic variables with employing Geographic Information System in order to measure the accessibility of green space. Results: This study found that accessibility of green space served as a strong predictor of reduced obesity rates among adults (β=-2.478; p<0.10). In addition, adults with higher education levels, as well as better access to green space, were found to have even lower obesity rates (β=-0.188; p<0.05). Other control variables such as unemployment rates, food security, and physical inactivity are additional factors that influence obesity rates among adults. Conclusions: Accessibility of green space may play an important role in facilitating physical activity participation and reducing obesity rates.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.239-250
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• 2022

A business's Enterprise Resource Planning (ERP) solution is software that fully integrates the services that businesses require, continuously updates business processes and department operations in real-time, and so aids in the successful management of enterprise resources. Previously, ERP solutions were often deployed for large enterprises, but along with the strong digital transformation process, many small and medium enterprises have been deploying Cloud ERP (CERP) solutions. The objective of the study is to measure the factors affecting the successful implementation of CERP solutions at small and medium enterprises and the impact of successful implementation of CERP solutions on business process re-engineering and enterprise performance. Using a quantitative method based on data collected from 230 small and medium enterprises in Vietnam that have been implementing CERP solutions, the results show that there are 5 factors affecting, which are Organizational ERP Strategic, Top management Commitment, Data Security, Training in ERP Projects, Organizational Culture. Research results also show that Successful implementation of CERP has a direct impact on business process re-engineering and business performance. Based on the results, the study has made a number of policy implications in the successful implementation of CERP towards re-engineering business processes to improve the performance of small and medium enterprises.

• Journal of Information Processing Systems
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• v.19 no.5
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• pp.688-701
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• 2023

The conventional methods of network intrusion detection system (NIDS) cannot measure the trend of intrusiondetection targets effectively, which lead to low detection accuracy. In this study, a NIDS method which based on a deep neural network in a big-data environment is proposed. Firstly, the entire framework of the NIDS model is constructed in two stages. Feature reduction and anomaly probability output are used at the core of the two stages. Subsequently, a convolutional neural network, which encompasses a down sampling layer and a characteristic extractor consist of a convolution layer, the correlation of inputs is realized by introducing bidirectional long short-term memory. Finally, after the convolution layer, a pooling layer is added to sample the required features according to different sampling rules, which promotes the overall performance of the NIDS model. The proposed NIDS method and three other methods are compared, and it is broken down under the conditions of the two databases through simulation experiments. The results demonstrate that the proposed model is superior to the other three methods of NIDS in two databases, in terms of precision, accuracy, F1- score, and recall, which are 91.64%, 93.35%, 92.25%, and 91.87%, respectively. The proposed algorithm is significant for improving the accuracy of NIDS.