• Journal of Digital Convergence
• /
• v.10 no.8
• /
• pp.287-297
• /
• 2012

In order to prepare for the introduction of the E-Discovery system from the United States and to cope with some causable changes of legal systems, we propose a general E-Discovery process and essential tasks of the each phase. The proposed process model is designed by the analysis of well-known projects such as EDRM, The Sedona Conference, which are advanced research for the standardization of E-Discovery task procedures and for the supply of guidelines to hands-on workers. In addition, Machine Learning Algorithms, Open-source libraries for the Information Retrieval and Distributed Processing technologies based on the Hadoop for big data are introduced and its application methods on the E-Discovery work scenario are proposed. All this information will be useful to vendors or people willing to develop the E-Discovery service solution. Also, it is very helpful to company owners willing to rebuild their business process and it enables people who are about to face a major lawsuit to handle a situation effectively.

• Management & Information Systems Review
• /
• v.36 no.1
• /
• pp.273-290
• /
• 2017

Internet of Things (IoT) is considered to be the next wave of Information Technology transformation after the Internet has changed the process of doing business. Since the domain of IoT ranging from the sensor technology to service to the users is wide, the structure of the research domain is not delineated clearly. To do that we suggest to use the Technology Stack Model proposed by Porter et al.(2014) to measure the maturity level of IoT in organizations. Based on the Stack Model, for the general understandings of IoT, we do keyword analyses on the academic papers whose major research issue is IoT. It is found that the current status of IoT application from the perspectives of cloud and big data analytics is not active, meaning that the real value of IoT has not been realized. We also examine the cases which deal with the part of cloud process which is crucial for value accrual. Based on these findings, we suggest the future direction of IoT research. We also propose that IT is to value chain what IoT is to the Stack Model to derive value in organizations.

• Journal of Korean Library and Information Science Society
• /
• v.50 no.4
• /
• pp.359-379
• /
• 2019

This study aims to suggest the ways to reinforce academic library's supports for users' class·learning activities. For this purpose, this study collected the development plans of academic libraries in Korea, and analysed the plans for supporting class·learning activities. As a result, it is shown that the most libraries emphasized 'expansion of learning material' and marked it on development plan. As subsequent plans, libraries provided the action plans of 'expansion of reading education and reading programs', 'expansion of electronic materials', 'expansion of characterized materials' one after another. This study suggests 'user-centered collection development and expansion of learning materials', 'activation of library services making use of big data', 'enlargement of engagement services for handicapped and foreign students' as ways to strengthen the services of academic libraries to support class·learning activities of users.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.56 no.6
• /
• pp.1092-1098
• /
• 2007

Since one decade, the detection of HFPD (High frequency Partial Discharge) has been proposed as one of the effective method for the diagnosis of the power component under service in power grids. As a tool for HFPD detection, Metal Foil sensor based on the embedded technology has been commercialized for mainly power cable due to its advantages. Recently, for the on-site noise discrimination, several PA (Pulse analysis) methods have been reported and the related software, such as Neural Network and Fuzzy, have been proposed to separate the PD (Partial Discharge) signals from the noises since their wave shapes are completely different from each other. On the other hand, the relevant fundamental investigation has not yet clearly made while it is reported that the effectiveness of the current methods based on PA is dependant on the types of sensors. Moreover, regarding the identification of the vital defects introducible into the Power Cable, the direct identification of the nature of defects from the PD signals through Metal Foil coupler has not yet been realized. As a trial for solving above shortcomings, different types of software have been proposed and employed without any convincing probability of identification. In this regards, our novel algorithm 'PA Map' based on the pulse analysis is suggested to identify directly the defects inside the power cable from the HFPD signals which is output of the HFCT and metal foil sensors. This method enables to discriminate the noise and then to make the data analysis related to the PD signals. For the purpose, the HFPD detection and PA (Pulse Analysis) system have been developed and then the effect of noise discrimination has been investigated by use of the artificial defects using real scale mockup. Throughout these works, our system is proved to be capable of separating the small void discharges among the very large noises such as big air corona and ground floating discharges at the on-site as well as of identifying the concerned defects.

• Journal of the Korean Society of Food Culture
• /
• v.11 no.2
• /
• pp.179-206
• /
• 1996

Generally, the culture of dietary life in a country is closely related to the heritage of racial culture, and it is very important to inherit and develop the culture of the traditional dietary life. This research is to investigate consciousness and behaviors of dietary life using a questionnaire survey for 521 housewives living in Seoul and Kyonggido. The data was analyzed with frequency, percentage, T-test, $X^2$ (Chi-square)-test, dispersion analysis, Pearson's correlation and hierarchical multiple-regression analysis. The results of the survey are summarized as follows; 1. Consciousness of Traditional Foods. They thought that traditional foods were Sinsollo, sorts of beverage, Dduk (Korean cake), Kim-chi, Hankwa (Korean cookies), and Kujolpan, and that traditional foods were proud for its various tastes. But they thought the cuisine of the traditional food is very complicated, accordingly the frequency of traditional food was decreased. Therefore they thought that its tastes was important to develop and spread traditional foods. 2. Dietary Life Behaviors for Traditional Food. They take traditional foods on big holidays and religious service days. It is their mother who taught them the traditional cooking method. Most ftequently used cooking method is boiling. They gave their children a traditional snack such as 'Dduk (Korean cake), noodles, and fried food. Frequency of taking beverage, Hankwa (Korean cookies), Juk (guel) and Dduk (Korean cake) have been decreased. 3. The Correlation of General Environment and Consciousness, Knowledge, Dietary Life Behaviors of Traditional food. The older they are, the more eager to teach traditional food cooking, to preserve the traditional table setting, to give their children traditional snack and the more traditional dietary life behaviors are.

• Journal of Preventive Medicine and Public Health
• /
• v.50 no.4
• /
• pp.240-250
• /
• 2017

Objectives: Subjective life expectancy (SLE) has been found to show a significant association with mortality. In this study, we aimed to investigate the major factors affecting SLE. We also examined whether any differences existed between SLE and actuarial life expectancy (LE) in Korea. Methods: A cross-sectional survey of 1000 individuals in Korea aged 20-59 was conducted. Participants were asked about SLE via a self-reported questionnaire. LE from the National Health Insurance database in Korea was used to evaluate differences between SLE and actuarial LE. Age-adjusted least-squares means, correlations, and regression analyses were used to test the relationship of SLE with four categories of predictors: demographic factors, socioeconomic factors, health behaviors, and psychosocial factors. Results: Among the 1000 participants, women (mean SLE, 83.43 years; 95% confidence interval, 82.41 to 84.46 years; 48% of the total sample) had an expected LE 1.59 years longer than that of men. The socioeconomic factors of household income and housing arrangements were related to SLE. Among the health behaviors, smoking status, alcohol status, and physical activity were associated with SLE. Among the psychosocial factors, stress, self-rated health, and social connectedness were related to SLE. SLE had a positive correlation with actuarial estimates (r=0.61, p<0.001). Gender, household income, history of smoking, and distress were related to the presence of a gap between SLE and actuarial LE. Conclusions: Demographic factors, socioeconomic factors, health behaviors, and psychosocial factors showed significant associations with SLE, in the expected directions. Further studies are needed to determine the reasons for these results.

• Journal of Korean Library and Information Science Society
• /
• v.47 no.4
• /
• pp.443-464
• /
• 2016

A great number of institutions around the world have been building digital repositories to communicate scholarly information. Meanwhile, digital repositories have been struggling with how to preserve increased volume of digital contents for the long term and how to build a sustainable information environment. The HathiTrust partnership was established to meet the need of a sustainable collaborative model of digital repositories in research libraries, mainly in North America, and has been expanded globally by signing with other libraries around the world. This paper is dealt with the establishment, operation and policy, construction status, and user service of the HathiTrust. The results presented in this paper include the benefits and potential opportunities of the HathiTrust as a participating member. Partnership in HathiTrust would allow each member institution to provide more cost-effective operations, shared management and long-term preservation of digital content, ease of copyright management, and increased accessibility. In the future it is expected to provide a shared storage of printed materials and to facilitate a big data research center.

• Journal of Korean Society of Rural Planning
• /
• v.23 no.2
• /
• pp.55-65
• /
• 2017

This study is to estimate the circuity factors which can be used to assess for public facilities accessibility and analyze traffic in the area. We set the range of the administrative districts by Si Gun Gu unit and Eup Myeon Dong unit (more subdivided unit than Si Gun Gu unit). The average circuity factor in Si Gun Gu unit is 1.364 (maximum 2.953 and minimum 1.711). The region indicated the highest value of circuity factor is wando-gun in jeollanam-do, which area consists of 4 island and is connected to the bridges. Having to use the bridges for using public facilities hinders its accessibility. In the case of Eup Myeon Dong unit, the average circuity factor is 1.353 (maximum 2.950 and minimum 1.154). The region indicated the highest value of circuity factor is buksan-myeon in chuncheon-si, Gangwon-do. This region also has to use bridges for using public facilities because there is the largest lake, called Soyangho. This circuity factor is used to analyze the location of public facilities and assess vulnerability of accessibility. And also the factor can be applied to some policies, such as rural public service planning based on spatial big data.

• The Journal of the Korea Contents Association
• /
• v.12 no.12
• /
• pp.35-45
• /
• 2012

Researchers and scientists spend huge amount of time in analyzing the previous studies and their results. In order to timely take the advantageous position, they usually analyze various resources such as paper, patents, and Web documents on recent research issues to preoccupy newly emerging technologies. However, it is difficult to select invest-worthy research fields out of huge corpus by using the traditional information search based on keywords and bibliographic information. In this paper, we propose a method for efficient creation, storage, and utilization of semantically relevant information among technologies, products and research agents extracted from 'big data' by using text mining. In order to implement the proposed method, we designed an ontology that creates technological knowledge for semantic web environment based on the relationships extracted by text mining techniques. The ontology was utilized for InSciTe Adaptive, a R&D trends analysis and forecast service which supports the search for the relevant technological knowledge.

• Fire Science and Engineering
• /
• v.15 no.1
• /
• pp.116-126
• /
• 2001

Fire investigation to examine ignition and combustion enlargement etc., to assess fire damage and to investigate a fire suspect, is used as a valuable data for better fire suppression and fire prevention police. Fire investigation is divided in to fire-cause investigation, fire-damage investigation, and fire-criminal investigation. At present, fire-cause investigation is lacking In scientific technology; specially is deficient in accurate damage assessment. And considering fore criminal investigation, since the police lacking in specialty on fire take exclusive charge of fire criminal investigation upon general investigation, it is difficult to investigate fire criminal effectively. Finally deficiency in fire investigation operates as very big blind-spot in fire safety having important axis in social safely; the loss is shifted on nation's shoulder. To solve those problems, legal, institutional, operational preparation is urgent. And so, this study tried to stabilize specialty of fire-fighting to offer more active, qualitative fire administration service, and to contribute to public peace and welfare by grasping problems after diagnosing Korean fire investigation and proposing the solutions.