• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2010.04a
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• pp.26-27
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• 2010

Illegal aquaculture farms that cause marine pollution and ship accidents are managed and controlled by local organizations, but they experience many difficulties due to the vast waters and insufficient human resources. This study aims to utilize new IP-RFID technology to propose an efficient aquaculture farm facility management system This system attaches Ip-Tags to aquaculture farms that can provide facility information and location in real-time through IP communications. This allows for efficient management of facilities and the restriction of illegal farms. This system can also provide locations of farm facilities that sink to the ocean floor, reducing marine pollution caused by lost farms.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.3 no.2
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• pp.45-64
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• 2008

The purpose of this study is to help Korean information system companies go into the world markets. We studied how domestic IS companies could provide IS services for Korean companies working in Indonesia. We used survey and case study as a research method. As a result of the data analysis of 84 companies, we found the current status of information systems of which Korean companies were doing business in Indonesia. And through the case study of H industrial complex, S company, and C company, we found the problems and the solutions of the implementation of the information systems. We expect that this research helps Korean IS companies go into world IS markets.

• Asia pacific journal of information systems
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• v.25 no.2
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• pp.211-238
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• 2015

Despite longstanding concern with the dimensionality of the service quality construct as measured by ServQual and IS-ServQual instruments, variations on the IS-ServQual instrument have been enduringly prominent in both academic research and practice in the field of IS. We explain the continuing popularity of the instrument based on the salience of the item set for predicting overall customer satisfaction, suggesting that the preoccupation with the dimensions has been a distraction. The implicit mutual exclusivity of the items suggests a more appropriate conceptualization of IS-ServQual as a formative index. This conceptualization resolves the paradox in IS-ServQual research, that of how an instrument with such well-known and well-documented weaknesses continue to be very influential and widely used by academics and practitioners. A formative conceptualization acknowledges and addresses the criticisms of IS-ServQual, while simultaneously explaining its enduring salience by focusing on the items rather than the "dimensions." By employing an opportunistic sample and adopting the most recent IS-ServQual instrument published in a leading IS journal (virtually, any valid IS-ServQual sample in combination with a previously tested instrument variant would suffice for study purposes), we demonstrate that when re-specified as both first-order and second-order formatives, IS-ServQual has good model quality metrics and high predictive power on customer satisfaction. We conclude that this formative specification has higher practical use and is more defensible theoretically.

• Journal of Intelligence and Information Systems
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• v.13 no.4
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• pp.45-63
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• 2007

Recently as ubiquitous environment comes to the fore, information density is raised and enterprise is being able to capture and utilize customer-related information at the same time when the customer purchases a product. In this environment, a need for the recommender systems which can deliver proper information to the customer at the right time and right situation is highly increased. Therefore, the research on recommender systems continued actively in a variety of fields. Until now, most of recommender systems deal with item recommendation. However, in the market in ubiquitous environment where the same item can be purchased at several stores, it is highly desirable to recommend store to the customer based on his/her contextual situation and preference such as store location, store atmosphere, product quality and price, etc. In this line of research, we proposed the store recommender system using customer's contextual situation and preference in the market in ubiquitous environment. This system is based on collaborative filtering and Apriori algorithms. It will be able to provide customer-centric service to the customer, enhance shopping experiences and contribute in revitalizing market in the long term.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.1
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• pp.97-111
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• 2024

Developing countries and small local governments face financial constraints, limiting the adoption of their own bus information systems. However, despite poor social infrastructure and low income levels, developing countries have a high smartphone penetration rate, and the distribution and usage of online content and social media are widespread. Smartphones, equipped with GPS sensors, cameras, and other location-based information collection capabilities, can replace expensive on-site terminals. This study aims to replace expensive on-site terminals with smartphones, develop a center system based on cloud servers, and establish an extensible Open BIS (Bus Information System) service and platform that can be applied anywhere. The goal is to formulate a business model in the process.

• Asia pacific journal of information systems
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• v.5 no.2
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• pp.79-100
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• 1995

Internal Control(IC) comprises the plan of organization and all of the coordinating methods and measures adopted in a business to safeguard its assets, check the accuracy and reliability of its accounting data, promote operational efficiency and encourage adherence to the prescribed managerial policies. If an organization's IC is not adequate, Accounting Information System (AIS) will be vulnerable to accomplish the organizations successes. Therefore, an effective and efficient IC is essential to its successes. The purpose of this study is to analyze the impact of EDP IC on the perceived usefulness of AIS. Do the general controls indirectively affect to the usefulness of AIS through th application controls? To solve these problems, a research model and a set of hypotheses were established and empirically tested. 60 financial institutions (banks, insurance companies, security companies) agreed to participate in the study. Data were gathered through structured interviews with 60 information systems managers and 537 users of accounting information of each company. Survey forms were designed and collected from financial institutions in Seoul. Information systems' managers of financial institutions responded to questionnaire(1) which consists of a series of 70 questions related to practice and perceived importance. Questionnaire (2) was received from 537 users, who responded to series of 17 questions related to the perceived usefulness. The results of analysis are summarized below. Effects of general controls are more direct on AIS's usefulness than those of application controls. Whereas, indirect effects of application controls are geater than those of general controls. Therefore, the greater the effects of application controls on general controls, the higher the perceived usefulness of AIS. In conclusion, this study supports that the perceived usefulness of AIS is affected by IC which are composed of general controls and application controls. The results of this study has significant implication to financial institution as computer fraud potential increases. Because of global competitions, financial institutions should restructure to IC and AIS in order to take advantage of the technological progress in Information System.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.131-138
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• 2022

Novel Coronavirus (COVID-19) is viewed as one of the main general wellbeing theaters on the worldwide level all over the planet. Because of the abrupt idea of the flare-up and the irresistible force of the infection, it causes individuals tension, melancholy, and other pressure responses. The avoidance and control of the novel Covid pneumonia have moved into an imperative stage. It is fundamental to early foresee and figure of infection episode during this troublesome opportunity to control of its grimness and mortality. The entire world is investing unimaginable amounts of energy to fight against the spread of this lethal infection. In this paper, we utilized machine learning and deep learning techniques for analyzing what is going on utilizing countries shared information and for detecting the climate factors that effect on spreading Covid-19, such as humidity, sunny hours, temperature and wind speed for understanding its regular dramatic way of behaving alongside the forecast of future reachability of the COVID-2019 around the world. We utilized data collected and produced by Kaggle and the Johns Hopkins Center for Systems Science. The dataset has 25 attributes and 9566 objects. Our Experiment consists of two phases. In phase one, we preprocessed dataset for DL model and features were decreased to four features humidity, sunny hours, temperature and wind speed by utilized the Pearson Correlation Coefficient technique (correlation attributes feature selection). In phase two, we utilized the traditional famous six machine learning techniques for numerical datasets, and Dense Net deep learning model to predict and detect the climatic factor that aide to disease outbreak. We validated the model by using confusion matrix (CM) and measured the performance by four different metrics: accuracy, f-measure, recall, and precision.

• Journal of Distribution Science
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• v.12 no.4
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• pp.41-46
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• 2014

Purpose - This study focused on providing strategic findings that make significant sense for companies that are looking for a future outsourcing strategy. The study analyzes the results of outsourcing in the information logistics systems field and verifies the results through experimental study of the performance delivered by logistics outsourcing types. Research design, data, and methodology - The study sample was assembled based on a random sampling method used to extract the initial 451 companies from a list of Korean distributors, wholesalers, and retailers. Following that sample process, 423 companies were confirmed by verifying their e-mail address and contacts (telephone and fax numbers), and were selected as initial research subjects. We reduced that number to 331 companies for the survey sample through telephone interviews in advance with the 423 companies that were targeted, in order to verify whether they are in the field of outsourcing of information logistics systems. The period of the survey extended from November 10, 2013 to January 10, 2014. The number of collected surveys totaled 181. We reviewed the contents of the survey responses, and reduced the number of research subjects to 175. In this study, we used a standard analysis to investigate whether there is a difference in distribution results based on different types of outsourcing information in the logistics system field and, through T-verification, we investigated whether the difference between distribution results in each group resulting from that standard analysis is statistically significant. Results - These results show that there is a difference in distribution outcome, based upon type of distribution outsourcing. In addition, we determined that they are meaningful results by confirming that, for usability and to improve the capabilities of a third-party logistics service supplier, both the choice of reasonable outsourcing types and the enhancement of various types of alliances are very important success factors. Taken together these study results, with a goal of enhancing the distribution capabilities of a Korean distributor, can be implemented to enhance management results achievable by supplying an information logistics system in the form of strategic outsourcing rather than in the form of simple outsourcing. In addition, the outcomes of logistics distributors in Korea that are using outsourcing in the logistics information systems field show high performance results in commercial endeavors in the following order: competitive, pre-competitive, non-competitive, and pro-competitive. Conclusions - This study focused on providing strategic findings. However, in the case of outsourcing in the field of information logistics systems of Korean distributors, there has been a focus on simple outsourcing rather than on strategic outsourcing; furthermore, there has been a concentration on non-competitive forms instead of pro-competitive forms, which could achieve better distribution results. This discussion is presented in more detail in the analysis results of this study.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.240-245
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• 1998

Fuzzy information retrieval which uses the concept of fuzzy relation is able to retrieve documents in the way based on not morphology but semantics, dissimilar to traditional information retrieval theories. Fuzzy information retrieval logically consists of three sets : the set of documents, the set of terms and the set of queries. It maintains a fuzzy relational matrix which describes the relationship between documents and terms and creates a thesaurus with fuzzy relational product. It also provides the user with documents which are relevant to his query. However, there are some problems on building a thesaurus with fuzzy relational product such that it has big time complexity and it uses fuzzy values to be processed with flating-point. Actually, fuzzy values have to be expressed and processed with floating-point. However, floating-point operations have complex logics and make the system be slow. If it is possible to exchange fuzzy values with binary values, we could expect sp eding up building the thesaurus. In addition, binary value expressions require just a bit of memory space, but floating -point expression needs couple of bytes. In this study, we suggest a new method of building a thesaurus, which accelerates the operation of the system by pre-applying an ${\alpha}$-cut. The experiments show the improvement of performance and reliability of the system.

• Asia pacific journal of information systems
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• v.4 no.2
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• pp.214-246
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• 1994

As the use of information technology continues to bring a dramatic increase in the amount of data available to managers, researchers have noted that having too much data can be as much of a problem as having too little. It becomes very important to understand the effects of "information explosion" on the way managers perform their work. This study examines the effect of the amount of available data on the process and outcome of thinking within a context where managers are equipped with computing tools. The purpose of this study is to better understand how managers respond cognitively to increased information availability. In this experiment with 104 MBAs three groups of subjects were asked to identify high and low potential market categories for effective direct mail sales based on three different amount of computer-based socioeconomic data designed based on existing research on cognition and information overload. Analyses of the outcomes showed that the group with medium amount of data used data and computer-based analysis tools most effectively and efficiently. We expect that the study will provide us a base to relate future MIS research to theories on cognition in such related fields as psychology and organizational behavior.