• Journal of Digital Convergence
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• v.10 no.2
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• pp.293-297
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• 2012

In order to provide with personalized recommendation service in context-awareness environment, the collected context data should be analyzed fast and the objective of user should be able to inferred effectively. But, the context collected from the mobile devices is not suitable for applying the existing inference algorithms as they are due to the omission or uncertainty of information and the efficient algorithms are required for mobile environment. In this paper, the behavior pattern was classified using naive bayes classification for minimize the loss caused by the omission or error of information. And pattern matching was used to effectively learn of the users inclination and infer the behavior purpose. The accuracy of the suggested inference model was evaluated by applying to the application recommendation service in the smart phones.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.21 no.2
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• pp.159-170
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• 2010

A survey was conducted with 155 professors in 23 universities in Seoul. The survey investigated recognition and the present condition of FISP among those professors, the results of which were analyzed in terms of three aspects: recognition of FISP, utility and implementation of FISP, and FISP users' satisfaction and opinions. of professors, FISP users were most frequently using it to write a treatise, while non-FISP users failed to use it because they had no information of its existence. Both FISP and non-FISP users significantly favored implementation of FISP and showed very positive intention of using it.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.12
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• pp.4950-4966
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• 2015

Cloud providers now face the problem of estimating the amount of computing resources required to satisfy a future workload. In this paper, a virtual machine provisioning (VMP) mechanism is designed to adapt workload fluctuation. The arrival rate of forthcoming jobs is predicted for acquiring the proper service rate by adopting an exponential smoothing (ES) method. The proper service rate is estimated to guarantee the service level agreement (SLA) constraints by using a diffusion approximation statistical model. The VMP problem is formulated as a facility location problem. Furthermore, it is characterized as the maximization of submodular function subject to the matroid constraints. A greedy-based VMP algorithm is designed to obtain the optimal virtual machine provision pattern. Simulation results illustrate that the proposed mechanism could increase the average profit efficiently without incurring significant quality of service (QoS) violations.

• Journal of Information Technology Services
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• v.14 no.1
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• pp.251-262
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• 2015

This study checks the conceptual definition of domestic book curation which is still in the beginning stage, the necessity of developing service and business, domestic and overseas case of relevant service. Further, the problem of book recommendation service and the difficulty anticipated in the embodiment of service are investigated together and the business model as new IT service is suggested to supplement them. Specifically, the collection of book information and customer information (interest and purchase pattern) and the procedure of mining the collected information and the process of embodying visualization was presented in the sector of service in the first place. Then, the technical transfer of developed solution and the construction cost and the method to impose commission over contents sales are presented in the sector of business. Diverse social and economic effects are expected to realize by developing and utilizing such services, namely, promoting the distribution of excellent book which were kept in dead storage so far due to lack of marketing support, recommendation readers the proper books which are convenient and necessary.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.5
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• pp.638-644
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• 2010

This paper presents ideas of service scenarios for home residents using electric power monitoring system per appliance, the implementation of the monitoring system, and analysis of acquired electric power usage pattern. By acquiring and analyzing electric power usage pattern, home residents can get information of power usage pattern of every legacy (non-Demand Response-ready) appliance. Further they can get pieces of recommendation how to reduce energy consumption, intelligent standby power blocking service, and alarming service to abnormality of appliances. In order to check the feasibility of the ideas, a system that can acquire electric power pattern per appliance is implemented, and electric power pattern of some appliances are stored to a database and it was analyzed to show if auto-identification of a type of a device is possible, which is a basic required function for the scenarios presented.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.441-445
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• 2004

In this paper, we deal with an inventory model of a multi-stage, serial supply chain system where a single product type and nonstationary customer demand pattern are considered. The retailer and suppliers place their orders according to an echelon-stock based replenishment control policy. We assume that the suppliers can access online information on the demand history and use this information when making their replenishment decisions. Using a reinforcement learning technique, the inventory control parameters are designed to adaptively change as the customer demand pattern is altered, in order to maintain a given target service level. Through a simulation based experiment, we verified that our approach is good for maintaining the target service level.

• Journal of Society of Preventive Korean Medicine
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• v.22 no.2
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• pp.33-40
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• 2018

Objectives : Health literacy can affect medical results. This study aimed to detect to the modify point of health literacy assessment tools. Methods : The general Korean Medicine service procedure was recorded and categorized. The participants were in- or out-patient of Korean Medical hospital. Written informed consents were obtained. Results : A total of 20 patients participated, with nine males and eleven females. The chief complaints were pain, growth, cerebral infarction sequela, dyspepsia, diarrhea, feeling of helplessness, mental stress, postpartum symptoms, and menstrual disorder. The Korean Medicine service were categorized into collecting patient information, relationship building, and treatment. Terms used in the service embraced general medical terms and Korean Medical terms. Conclusions : The Korean-medical health literacy assessment tool should incorporate western-eastern combined treatment and Korean medical terms.

• Journal of Information Technology Applications and Management
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• v.24 no.2
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• pp.81-96
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• 2017

Forecasting long-term mobile service demand is inevitable to establish an effective frequency management policy despite the lack of reliability of forecast results. The statistical forecasting method has limitations in analyzing how the forecasting result changes when the scenario for various drivers such as consumer usage pattern or market structure for mobile communication service is changed. In this study, we propose a dynamic model of the mobile communication service market using system dynamics technique and forecast the future demand for long-term mobile communication subscriber based on the dynamic model, and also experiment on the change pattern of subscriber demand under various scenarios.

• Journal of Korea Multimedia Society
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• v.25 no.8
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• pp.1109-1121
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• 2022

As the demand for quality sleep increases in modern society, the importance of sleep technology has increased. Recently, development of sleep environment improvement products and research on the user's sleep improvement have been activated. Representatively, user sleep pattern analysis research is being conducted through the existing polysomnography, but it is difficult to use it in the sleep environment of daily life. Therefore, in this paper, we propose a system design that can provide a customized deep sleep service to users by detecting sleep disturbance factors in a motion bed environment. In order to improve the user's sleep satisfaction, a logistic regression-based sleep pattern analysis model is proposed and accuracy and significance are verified through experiments. And to improve user's sleep satisfaction, we propose a logistic regression-based sleep pattern analysis model and verify accuracy and significance through experiments. The proposed system is expected to improve the user's sleep quality and effectively prevent and manage sleep disorders.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.16 no.2
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• pp.23-32
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• 2012

Objectives : The purpose of this research is to develop the clinical pathway for optimizing the integrative medical service (oriental-western integrated medical service) and to analyze the clinical pattern of the integrative patients who received the oriental-western integrated medical service. Methods : This research developed the clinical pathway by interviewing with doctors, nursing and experts at K Medical Center. To analyze the clinical patterns, this research used 860 integrative patients and 6345 non-integrative patients at K Medical Center since 2007. Results and Conclusions : 1. We developed the clinical pathway for optimizing the integrative medical service. 2. Comparing the clinical pattern of the integrative patients with the non-integrative patients, the results indicated that the interval and frequency of the integrative patients is shorter than that of the non-integrative patients. 3. Comparing the medical treatment type, the integrated patients take much more medical care and more frequently participate in medical treatment. 4. In conclusion, it is different that the clinical pathway of the integrative medical service from the non-integrative medical service and the integrative medical treatment is more effective than the non-integrative medical treatment.