• KIISE Transactions on Computing Practices
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• v.23 no.12
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• pp.684-690
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• 2017

Researchers have suggested several methods for utilizing various kinds of services in an Internet of Things (IoT) environment. These methods require users to learn some new kinds of tools or expertise in programming. In this paper, we propose a new paradigm, which allows end-users to build IoT-service mashups based on a presentation-authoring scheme. We have also included a framework for this procedure. The design of a mashup model in this framework was based on a task-oriented service framework. Users can build a mashup of this framework in the presentation-file format, convert it into a service flow, and deploy it for running in an IoT environment. In addition, we use a case study to show how PowMash supports end-users' service mashups in an IoT environment.

• The Journal of Information Systems
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• v.5
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• pp.383-409
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• 1996

This study has two research objectives related to end-user computing (EUC). One of the research objectives was to investigate the current status of EUC of Korean firms. Another research objective was to examine the relationship between individual differences of end-users and EUC success. Using survey data from 752 end-users of 23 firms, the current status of EUC and the relationship between individual differences of end-users and EUC success were investigated. The current status of EUC was examined from six perspectives : 1) what is the characteristics of EUC strategy of Korean firms, 2) what are the individual characteristics of end-users in Korean firms 3) what are the characteristics of tasks performed by end-users computer, 4) what are the application areas of EUC, 5) How end-users are satisfied with the support of firm, 6) what are system usage and satisfaction of end-users. It was also found that individual differences of end-users are related to EUC success. More specifically, it was shown that the male gender, younger age, higher level of education, higher rank and organizational tenure, higher math ability, thinking type of cognitive style, positive and optimistic attitudes toward computer, more experience with computer, more computer education and knowledge are individual differences variables associated with EUC success. The results of stepwise regression analysis suggested that the individual difference variables accounted for 14%, 25%, 39%, and 30% of the variances of four EUC success variables, satisfaction for outcome, satisfaction for ability, frequency of computer use, and the number of tasks, respectively. Theses empirical findings suggest that EUC managers should consider individual differences of end-users in managing EUC, such as education, training support, and human resource management, to maximize potential benefits of EUC.

• KIISE Transactions on Computing Practices
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• v.20 no.11
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• pp.598-603
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• 2014

In wireless sensor networks, two methods have been generally used to track continuously moving object: a user query-based method and a periodic report-based method. Although the former method generates more overhead as a result of the user queries, the former one is also an energy-efficient method that does not transfer unnecessary information. For the user query-based method, a virtual tree that consist of sensor nodes is used to perform the user query and the sensor reporting. The tree stores the information of the mobile objects, and the stored information triggers a report b the user query. However, in case of a fast-moving object, the tracking accuracy decreases as a result of the time delay of the end-to-end repeated query. In order to solve this problem, we propose a query-relay method that reduces the time delay for mobile object tracking. In the proposed method, the nodes in the tree relay the query to adjacent nodes according to the movement of mobile object that is tracked. When the query messages are relayed. The end-to-end querying time delay is reduced. and a simulation shows that our method is superior to existing ones in terms of tracking accuracy.

• Korean Institute of Interior Design Journal
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• v.21 no.2
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• pp.186-196
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• 2012

Information technology has changed the human life as well as the societal and economic paradigm. New office environments have been proposed to cope with emerging changes and to support working performances by reducing costs of office operation and business. Recently, office environments have adopted ubiquitous computing with a focus on collaboration to promote real-time enterprises. They become equipped with various mobile devices and pervasive technologies in wireless networks. This study aims to propose a direction for the adoption of mobile and pervasive computing on the new office environment. We investigate relate works and analyze new office types including mobile offices, telework centers and home offices. Using a customized questionnaire, the current conditions of the office environments and officers' demands were investigated and analyzed. In the end, we propose the direction for a ubiquitous office environment with a focus on two attributes, ubiquity and mobility. This research will be a basis for the development of ubiquitous offices that support the professionalism of works in practices.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.10
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• pp.1712-1732
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• 2011

Cloud provides dynamically scalable virtualized computing resources as a service over the Internet. To achieve higher resource utilization over virtualization technology, an optimized strategy that deploys virtual machines on physical machines is needed. That is, the total number of active physical host nodes should be dynamically changed to correspond to their resource usage rate, thereby maintaining optimum utilization of physical machines. In this paper, we propose a pattern-based prediction model for resource provisioning which facilitates best possible resource preparation by analyzing the resource utilization and deriving resource usage patterns. The focus of our work is on predicting future resource requests by optimized dynamic resource management strategy that is applied to a virtualized data center in a Cloud computing environment. To this end, we build a prediction model that is based on user request patterns and make a prediction of system behavior for the near future. As a result, this model can save time for predicting the needed resource amount and reduce the possibility of resource overuse. In addition, we studied the performance of our proposed model comparing with conventional resource provisioning models under various Cloud execution conditions. The experimental results showed that our pattern-based prediction model gives significant benefits over conventional models.

• Information Systems Review
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• v.6 no.2
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• pp.161-179
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• 2004

The purpose of this study is to suggest practical experience to develop small sized e-Learning system. The system is designed to help lecturers can arrange interface, organize contents, submit examinations and assess learner's score with no professional computing skills. The system has three advantages. First, it reduced implementation period through the use of GUI. Second, it is ordered to be personalized to construct format of the whole interface. Third, it has operational convenience which can be implemented on PC based system. These personalized features are enabling Learning on Demand. Also, there is comparatively low cost and high effectiveness on e-Learning implementation which facilitating quick adoption of e-Learning in its lectures.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.8
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• pp.2772-2786
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• 2022

We had researched an automatic authentication-supported medical information platform[6]. The proposed automatic authentication consists of user authentication and mobile terminal authentication, and the authentications are performed simultaneously in patients' emergency conditions. In this paper, we studied on finding emergency conditions for the automatic authentication by applying big data processing and AI mechanism on the extended medical information platform with an added edge computing system. We used big data processing, SVM, and 1-Dimension CNN of AI mechanism to find emergency conditions as authentication means considering patients' underlying diseases such as hypertension, diabetes mellitus, and arrhythmia. To quickly determine a patient's emergency conditions, we placed edge computing at the end of the platform. The medical information server derives patients' emergency conditions decision values using big data processing and AI mechanism and transmits the values to an edge node. If the edge node determines the patient emergency conditions, the edge node notifies the emergency conditions to the medical information server. The medical server transmits an emergency message to the patient's charge medical staff. The medical staff performs the automatic authentication using a mobile terminal. After the automatic authentication is completed, the medical staff can access the patient's upper medical information that was not seen in the normal condition.

• Proceedings of the Korea Association of Information Systems Conference
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• 1996.11a
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• pp.5-26
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• 1996

This study has two research objectives related to end-user computing (EUC). One of the research objectives was to investigate the current status of EUC of Korean firms. Another research objective was to examine the relationship between individual differences of end-users and EUC success. Using survey data from 752 end-users of 23 firms, the surrent status of EUC and the relationship between individual differences of end-users and EUC success were investigated. The current status of EUC was examined from six perspectives: 1). what is the characteristics of EUC strategy of Korean firms, 2). what are the individual characteristics of end-users in Korean Firms, #0. what are the characteristics of tasks performed by end-users using computer, 4). what are the application a areas of EUC, 5). How end-users are satisfied with the support of firms, 6). what are system usage and satisfaction of end-users. It was also foud that individual differences of end-users are related to EUC success. More specifically, it wat shown that the male gender, younger age, higher level of education, higher rank and organizational tenure, higher math ability, thinking type of cognitive style, positive and optimistic attitudes toward computer, more experience with computer, more computer education and knowledge are individual differences variables associated with EUC success. The results of stepwise regression analysis suggested that the individual difference variables accounted for 14%, 25%, 39% and 30% of the variances of four EUC success variables, satisfaction for outcome, satisfaction for ability, frequency of computer use, and the number of tasks, respectively. These empirical findings suggest that EUC managers should consider individual differences of end-users in managing EUC, such as education, training, support, and human resource management, to maximize potential benefits of EUC.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 1996.10a
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• pp.5-26
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• 1996

This study has two research objectives related to end-user computing (EUC) . One of the research objectives was to investigate the current status of EUC of Korean firms. Another research objective was to examine the relationship between individual difference of end-users and EUC success. Using survey data from 752 end-users of 23 firms, the surrent status of EUC and the relationship between individualdifferences of end-users and EUC success were investigated. The current status of EUC was examined from six perspectives : 1) what is the characteristics of EC strategy of Korean firms , 2) what are the individual characteristics of end-users in Korean firms, 3) what are the characteristics of tasks performed by end-users using computer 4) what are the application a areas of EUC 5) How end-users are satisfied with the support of firms, 6) what are system usage and satisfaction of end-users. It was also found that individual differences of endf-users are related to EUC success.More specifically , it was shown that the male gender, younger age, higher level of education , higher ran아 and organizational tenure, higher math ability , thinking type of cognitive style, positive and optimistic attitudes toward computer, more experience with computer, more computer education and knowledge are individual differences variables associated with EUC success. The results of stepwise regression analysis suggested that the individuaal difference variables accounted for 14%, 25% 39% and 30% of the variances of four EUC success variables, satisfaction for outcome , satisfaction for ability , frequency of computer use, and thenuber of tasks, respectively. These empirical findings suggest that EUC managers should consider individual differences of end-users in managing EUC , such as education, training, support, and human resource management , to maximize potential benefits of EUC.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.5
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• pp.2310-2345
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• 2017

With the emergence of the Internet of Things (IoT) the world is projecting towards a scenario where every object in the world (including humans) acts as a sender and receiver of data and if we were to see that concept mature we would soon be talking of billions more users of the cloud networks. The cloud technology is a very apt alternative to permanent storage when it comes to bulk storage and reporting. It has however shown weaknesses concerning real-time data accessibility and processing. The bandwidth availability of the cloud networks is limited and combined with the highly centralized storage structure and geographical vastness of the network in terms of distance from the end user the cloud just does not seem like a friendly environment for real-time IOT data. This paper aims at highlighting the importance of Flavio Bonomi's idea of Fog Computing which has been glamorized and marketed by Cisco but has not yet been given a proper service architecture that would explain how it would be used in terms of various service models i-e IaaS, PaaS and SaaS, of the Cloud. The main contribution of the paper would be models for IaaS, PaaS and SaaS for Fog environments. The paper would conclude by highlighting the importance of the presented models and giving a consolidated overview of how they would work. It would also calculate the respective latencies for fog and cloud to prove that our models would work. We have used CloudSim and iFogSim to show the effectiveness of the paradigm shift from traditional cloud architecture to our Fog architecture.