• Journal of the Korean Society for information Management
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• v.33 no.4
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• pp.125-157
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• 2016

As the domestic companies which have made inroads into foreign markets have more lawsuits, these companies' demands for responding to E-Discovery are also increasing. E-Discovery, derived from Anglo-American law, is the system to find electronic evidences related to lawsuits among scattered electronic data within limited time, to review them as evidences, and to submit them. It is not difficult to find, select, review, and submit evidences within limited time given the reality that the domestic companies do not manage their records even though lots of electronic records are produced everyday. To reduce items to be reviewed and proceed the process efficiently is one of the most important tasks to win a lawsuit. The Predictive Coding is a computer assisted review instrument used in reviewing process of E-Discovery, which is to help companies review their own electronic data using mechanical learning. Predictive Coding is more efficient than the previous computer assister review tools and has a merit to select electronic data related to lawsuit. Through companies' selection of efficient computer assisted review instrument and continuous records management, it is expected that time and cost for reviewing will be saved. Therefore, in for companies to respond to E-Discovery, it is required to seek the most effective method through introduction of the professional Predictive Coding solution and Business records management with consideration of time and cost.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.2
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• pp.873-876
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• 2016

Background: Studies of quality of life (QoL) of oncological patients is carried out using questionnaires approved in many international clinical studies. The European Organization for Research and Treatment of Cancer EORTC QLQ-C30 (Quality of Life Questionnary-Core 30) and its special brain cancer module EORTC QLQ-BN20 are widely used in the world neurooncologic practice. They are available in more than 80 official versions of 30 languages of the world. Previously we used the official versions in Russian, which often causes difficulty in understanding for native Kazakh language speakers, who comprise more than 60% of our respondents. This was the reason for creating a version of Kazakh language. Therefore, in 2014 for the first time the process of adaptation of questionnaires to the Kazakh language was initiated. Materials and Methods: The translation process of questionnaires to Kazakh language was held in accordance with the requirements of the European Organization for Research and Treatment of Cancer EORTC on QoL and consisted of the following stages: preparation - translation - pilot testing - approval. The official permission of authors and "Guideline on translation" was obtained which was developed by the working group of the EORTC on QoL. The pilot testing of EORTC QLQ-C30 and QLQ-BN20 questionnaires was conducted on the basis of the Department of Central Nervous System Pathology of the "National Centre for Neurosurgery" in patients with malignant tumors of the central nervous system. Results: The official versions of the EORTC QLQ-C30 and QLQ-BN20 questionnaires in Kazakh language were introduced and adapted in practical neurosurgical operations in Kazakhstan. Conclusions: The approved versions of the questionnaires in Kazakh language are now available for mainstream use on the official website EORTC.com. The versions of these questionnaires can be used in domestic cohort studies and clinical practice in the Republic of Kazakhstan. The use of these tools for assessing QoL will help professionals in the planning of individual treatment strategies and selection of the necessary therapy.

• The Journal of the Korea Contents Association
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• v.15 no.9
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• pp.588-598
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• 2015

This study derives planning items and indicators that should be considered in order to activate public space in terms of the spatial characteristics of the public space was to analysis the importance in the public officials/academics and practitioners side. Derived in accordance with spatial planning topics characteristic of public space through previous research to them and after a detailed selection indicators in Christopher Alexander's Pattern Language was so lead through the FGI. Derived surface was subjected to the significance analysis AHP through the survey expert. For this study, the importance of the spatial characteristics of the public space are working professionals accessibility, publicity, connectivity, spatiality, amenity, placeness the order, public officials/academics accessibility, amenity, placeness, connectivity, spatiality, publicity the order. In addition, professionals working in the comprehensive analysis of the most important priority was to recognize the hierarchy of open space, public officials/academics appeared to have an open space on the street the most important. The results obtained in this study will be used as an index that can be used in planning and evaluation for consideration of the next active public space.

• Korean Security Journal
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• no.62
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• pp.159-183
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• 2020

The court in Korea values evidence justice, and also demands justification for the process of collecting evidence. Therefore, it is necessary to raise the level of organizational commitment, which means that the police investigators performing these tasks feel attached to the police organization they belong to, and that they feel united about the goals of the organization. Based on this recognition, the study analyzed the effects of the police's perception of organizational Justice on organizational commitment, and classified organizational Justice into distributive Justice, procedure Justice and interaction Justice. Therefore, this study analyzes the effect of the police's perception of organizational Justice on organizational commitment and verifies the effect through multiple regression analysis by injecting the trust of Supervisors into a mediating variable. The study was also conducted on the assumption that the trust of Supervisors is important in carrying out the field investigators work in the South Korean police. To achieve the purpose of this research, a total of three surveys were conducted from May 2017 to October 2019 at the National Police Agency using the selection process of investigators and job training courses for the national police, and a total of 500 copies were used as analysis data. Looking at the results analysis of this study, first, it was found that there was a statistically significant static (+) effect on organizational commitment, where the organizational Justice of police officers was a independent variable. Second, the relationship between organizational Justice and organizational commitment has shown that the trust of Supervisors has a mediating effect in korean police organization.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.47 no.12
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• pp.75-82
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• 2010

This paper presents a wideband ${\Delta}{\Sigma}$ fractional-N frequency synthesizer for a multi-band single chip CMOS RFIC transceivers. A wideband VCO utilizes a 6-bit switched capacitor array bank for 2340~3940 MHz frequency range. VCO frequency calibration circuit is designed for optimal capacitor bank code selection before phase locking process. It finishes the calibration process in $2{\mu}s$ over the whole frequency band. The LO generation block has selectable multiple division ratios of ${\div}2$, ${\div}16$, and ${\div}32$ to generate LO I/Q signals for T-DMB/DAB/FM Radio systems in L-Band (1173~1973 MHz), VHF-III (147~246 MHz), VFH-II (74~123 MHz), respectively. The measured integrated phase noise is quite low as it is lower than 0.8 degree RMS over the whole frequency band. Total locking time of the ${\Delta}{\Sigma}$ frequency synthesizer including VCO frequency calibration time is less than $50{\mu}s$. The wideband ${\Delta}{\Sigma}$ fractional-N frequency synthesizer is fabricated in $0.13{\mu}m$ CMOS technology, and it consumes 15.8 mA from 1.2 V DC supply.

• Clean Technology
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• v.23 no.1
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• pp.54-63
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• 2017

Volatile organic compounds (VOCs) are widely used in both industrial and domestic activities. VOCs are one of the most unpleasant, frequently complaint-rousing factors of pollution around the world. It is now necessary to research and develop an alternative technology that could overcome the problems of the existing odor-control and VOC-eliminating techniques. In this study, essential oil and photocatalytic process was applied in the removal of benzene and toluene, typical VOCs in petrochemistry plant. therefore, this study conducted experiments on the selection of appropriate essential oil, photodegradation, hydroxyl radical generation capacity. The removal efficiency and reaction rate were performed to selecte the type and concentration of essential oil. As a result, removal efficiency of Hinoki Cypress oil was approximately 70% and reaction rate of Hinoki Cypress was high. The results of photolysis experiment, photocatalytic oxidation process showed that the decomposition efficiency of VOCs increased considerably with increasing UV lamp power. In addition, the conversion of VOCs was increased up to $0.1gL^{-1}$ photocatalysts. The hydroxyl radicals measure was performed to determine the ability to generate hydroxyl radicals. The analytical result showed that high $TiO_2$ concentration and lamp power was produced many hydroxyl radical. Experiments of the removal efficiency and reaction rate were performed using essential oil and photooxidation. As a result, the removal efficiency showed that the removal efficiency was increased high temperature and reaction time. The activation energy was calculated from the reaction rate equation at various temperature condition. Activation energy was approximately $18kJmol^{-1}$.

• Journal of the Korean Institute of Intelligent Systems
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• v.10 no.5
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• pp.487-496
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• 2000

In this paper, the Multi-FNN(Fuzzy-Neural Networks) model is identified and optimized using HCM(Hard C-Means) clustering method and genetic algorithms. The proposed Multi-FNN is based on Yamakawa's FNN and uses simplified inference as fuzzy inference method and error back propagation algorithm as learning rules. We use a HCM clustering and Genetic Algorithms(GAs) to identify both the structure and the parameters of a Multi-FNN model. Here, HCM clustering method, which is carried out for the process data preprocessing of system modeling, is utilized to determine the structure of Multi-FNN according to the divisions of input-output space using I/O process data. Also, the parameters of Multi-FNN model such as apexes of membership function, learning rates and momentum coefficients are adjusted using genetic algorithms. A aggregate performance index with a weighting factor is used to achieve a sound balance between approximation and generalization abilities of the model. The aggregate performance index stands for an aggregate objective function with a weighting factor to consider a mutual balance and dependency between approximation and predictive abilities. According to the selection and adjustment of a weighting factor of this aggregate abjective function which depends on the number of data and a certain degree of nonlinearity, we show that it is available and effective to design an optimal Multi-FNN model. To evaluate the performance of the proposed model, we use the time series data for gas furnace and the numerical data of nonlinear function.

• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.6
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• pp.45-52
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• 2019

As international criteria and standards are required in the fields of design and construction, landscape performance must also be considered not only for the value of the landscape but also for providing quality assurance and sustainability. Given the lack of research on landscape performance, the present research was purposed to analyze the importance of potential assessment categories and items using an analytical network process. A list of assessment items, which is composed of 20 items and 6 categories, was derived through a literature review and a preliminary survey of 11 landscape professionals. An ANP model was established and a survey was conducted among 30 landscape practitioners to determine the weight of priorities considering the criteria. The results of ANP showed that the categories of site selection, preservation and health, and convenience had high priorities while materials had the lowest importance score. For the assessment items, a monitoring plan was the highest importance, followed by cultural/ historic preservation, management cost reduction, and natural ground areas. Despite the difficulties in quantifying landscape achievements, most respondents agreed that there needs to be an evaluation system for landscape performance in order to assure the quality and sustainability of landscape development. More research and discussion are needed to develop an assessment system for landscape performance that is applicable to Korean context.

• Journal of the Korean Geographical Society
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• v.49 no.1
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• pp.91-105
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• 2014

The objective of this study is to analyze the project performance and development process of the phase 1 project of GFEZ from 2004 to 2010. The phase 1 project from 2004 to 2010 is consist of eleven project zones. Among these zones, eight zones are currently underway and three zones have been completed. The performance of the phase 1 projects is no so much because it were stated later than planning with the difficulty of business developers selection. The major performances are development and supply of industrial & residential land, construction of road and railway, investment promotion of 102 companies, and creation of 20,971 new jobs. Most of the direct invested companies were located at Gwangyang and Yulchon Districts, and were mainly logistics and related service, iron and steel, machinery, shipbuilding, and fine chemicals. The main problems, however, are the limit of promotion of high-tech industries and large firms, low FDI reported rate, difficulty of superior business developers, delayed business progress of Hadong district. Therefore, efforts to solve these problems are required for the success of GFEZ.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.10
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• pp.1009-1016
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• 2016

In this study, an educational program was developed. The program can perform the claim for examination of medical expense, which is one of NCS Competence Unit Elements for hospital administration. Considering various coding to complex compute and process, VB.Net was employed for this development. For database, ACCESS Database was used because it is easy to learn and use. The learning effects by the developed program are expected to be as follows. First, the composition of medical expense can be understood by analyzing Medical history and then selecting insurance code according to the Standard of Medical Care Code. Second, unit cost per score can be learned according to hospital class. Third, selection of Column (medical materials) and Column II(medical practice) can classify items of additional ratio. Fourth, because patient's payment rate on hospitalization and meal expense and use of special equipment are differently applied, user can know patient's payment rate by type and can calculate it. Fifth, additional amount is the amount calculated by additional ratio of Column II(medical practice), and user can learn additional ratio according by insurance type and hospital class. Sixth, user can learn self-pay rate by hospital class and understand the process that self-pay amount and claim amount are calculated according by self-pay rate.