• International Commerce and Information Review
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• v.6 no.1
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• pp.77-98
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• 2004

This paper examines the major determinants affecting the user satisfaction on e-Trade portal sites in small and medium-sized exporters. The development of our research model is based on the empirical studies on the service quality of information system, web sites or Internet shopping mall, and on the factors influencing the user satisfaction. With the help of a regression analysis and factor analysis, five hypotheses are derived and tested. The results from regression analysis suggest that the user satisfaction of e-Trade portal sites is affected by information characteristics and ease of use of e-Trade portal sites. In addition, the user satisfaction of e-Trade portal sites is enhanced by support for international trade. Our findings will be useful, especially for those who are planning to build user-oriented e-Trade portal sites.

• Proceedings of the KIEE Conference
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• summer
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• pp.165-167
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• 2004

End-user electric power consumption trends shows various load curves dependant on industry, contract, season, day and time. Analysis of end-user electric power consumption trends has a key role to efficiently meet electricity demand. There are several factors of change in electricity demand such as the change of weather, international conflict, and industrial trends during summer. This paper has analyzed the analysis the end-user electric power consumption trends using the load curve during international conflict. We observed that international conflict decreased electric demand by $5.4\%$. This increase is not significant, and therefore we conclude that the international conflict has not greatly affected Korea's electricity demands. This paper provides useful information so as to mon: efficiently perform demand side management.

• International Commerce and Information Review
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• v.8 no.1
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• pp.3-13
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• 2006

To develop and validate an instrument to measure user satisfaction in Internet shopping environment, the EUCS instrument by Doll and Torkzadeh (1988) was used for this research. The results of the study shows how the main constructs of the model that will eventually interact for the user satisfaction in internet commerce environment. This research will present significant progress towards keeping the End-User Computing Satisfaction instrument relevant and applicable under the Internet shopping environment.

• International Journal of Computer Science & Network Security
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• v.21 no.5
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• pp.168-174
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• 2021

The Cognitive radio (CR) is evolving technology for managing the spectrum bandwidth in wireless network. The security plays a vital role in wireless network where the secondary users are trying to access the primary user's bandwidth. During the allocation the any malicious user either he pretends to be primary user or secondary user to access the vital information's such as credentials, hacking the key, network jam, user overlapping etc. This research paper discusses on various types of attack and to prevent the attack in cognitive radio network. In this research, secondary users are identified by the primary user to access the primary network by the secondary users. The secondary users are given authorization to access the primary network. If any secondary user fails to provide the authorization, then that user will be treated as the malicious user. In this paper two approaches are suggested one by applying elliptic curve cryptography and the other method by using priority-based service access.

• International Commerce and Information Review
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• v.10 no.3
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• pp.117-140
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• 2008

The purposes of the study are to measure the relative importance of independent variables, to analyze relation between user satisfaction and use, and to improve the level of user satisfaction in using e-Trade system(uTradeHub). The study develops the independent variables in three dimensions(i.e the quality of system, quality of information, and quality of service), estimates the level of satisfaction on a par with these variables, and analyzes the causal relation of these variables. The major findings of the study are as follows. First, there is a significant casual relationship between the quality of system and user satisfaction, thus the hypothesis is accepted. Second, there is a significant casual relationship between the quality of information and user satisfaction, thus the hypothesis is accepted. Third, there is a significant casual relationship between the quality of service and user satisfaction, thus the hypothesis is accepted. Final, there is a significant casual relationship between the user satisfaction and use, thus the hypothesis is accepted.

• International Journal of Computer Science & Network Security
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• v.21 no.1
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• pp.55-63
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• 2021

The design functionality put forward by mapping the interactiveness of information. The presentation of such information with the user interface model indicates that the guidelines, concepts, and workflows form the deliverables and milestones for achieving a visualized design, therefore forming the right trend is significant to ensure compliance in terms of changing consideration and applying evaluation in the early stages. It is evidenced that prototype design is guided by improvement specifications, includes modes, and variables that increase improvements. The study presents five user interface testing methods. The testing methods are heuristic evaluation, perspective-based user interface testing, cognitive walkthrough, pluralistic walkthrough, and formal usability inspection. It appears that the five testing methods can be combined and matched to produce reasonable results. At last, the study presents different mobile application designs for student projects besides the evaluation of mobile application designs to consider the user needs and usability.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.221-228
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• 2021

Recent improvements on the quality, fidelity and availability of biometric data have led to effective human physical activity detection (HPAD) in real time which adds significant value to applications such as human behavior identification, healthcare monitoring, and user authentication. Current approaches usually use machine-learning techniques for human physical activity recognition based on the data collected from wearable accelerometer sensor from a single wearable smart device on the user. However, collecting data from a single wearable smart device may not provide the complete user activity data as it is usually attached to only single part of the user's body. In addition, in case of the absence of the single sensor, then no data can be collected. Hence, in this paper, a continuous HPAD will be presented to effectively perform user activity detection with mobile service infrastructure using multiple wearable smart devices, namely smartphone and smartwatch placed in various locations on user's body for more accurate HPAD. A case study on a comprehensive dataset of classified human physical activities with our HAPD approach shows substantial improvement in HPAD accuracy.

• International Journal of Advanced Culture Technology
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• v.9 no.4
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• pp.307-314
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• 2021

Recently, positively asymmetric binary pulse amplitude modulation (2PAM) has been proposed to improve the bit error rate (BER) performance of the weak channel gain user, with a tolerable BER loss of the strong channel gain user, for non-orthogonal multiple access (NOMA). However, the BER loss of the stronger channel gain user is inevitable in such positively asymmetric 2PAM NOMA scheme. Thus, we propose the negatively asymmetric 2PAM NOMA scheme. First, we derive closed-form expressions for the BERs of the negatively asymmetric 2PAM NOMA. Then, simulations demonstrate that for the stronger channel gain user, the BER of the proposed negatively asymmetric 2PAM NOMA improves, compared to that of the conventional positively asymmetric 2PAM NOMA. Moreover, we also show that for the weaker channel gain user, the BER of the proposed negatively asymmetric 2PAM NOMA is comparable to that of the conventional positively asymmetric 2PAM NOMA, over the power allocation range less than about 10 %.

• International Commerce and Information Review
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• v.10 no.3
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• pp.59-73
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• 2008

The current research utilized as its target population who are current users of global small to medium sized companies in Korea. The research validated the innovative dimensions by studying the two constructs within the context of the SMB user population. Correlation was found between innovative dimensions retained as components of a Comprehensive Model. It was determined that these four dimensions-Content, Intrinsic Interest, Control, and Timeliness-are significant predictors of user success. The Comprehensive Model was validated, and it is therefore suggested as a basis for further study of user success indicators in the innovative manufacturing enterprise environment.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.97-104
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• 2022

In recent years, data privacy has become increasingly important. The goal of network cryptography is to protect data while it is being transmitted over the internet or a network. Social media and smartphone apps collect a lot of personal data which if exposed, might be damaging to privacy. As a result, sensitive data is exposed and data is shared without the data owner's consent. Personal Information is one of the concerns in data privacy. Protecting user data and sensitive information is the first step to keeping user data private. Many applications user data can be found on other websites. In this paper, we discuss the issue of privacy and suggest a mechanism for keeping user data hidden in other applications.