• Title/Summary/Keyword: 데이터 중심 접근

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An Object-Oriented Analysis and Design Methodology for Secure Database Design -focused on Role Based Access Control- (안전한 데이터베이스 설계를 위한 객체지향 분석·설계 방법론 -역할기반 접근제어를 중심으로-)

  • Joo, Kyung-Soo;Woo, Jung-Woong
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.6
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    • pp.63-70
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    • 2013
  • In accordance with the advancement of IT, application systems with various and complex functions are being required. Such application systems are typically built based on database in order to manage data efficiently. But most object-oriented analysis design methodologies for developing web application systems have not been providing interconnections with the database. Since the requirements regarding the security issues increased, the importance of security has become emphasized. However, since the security is usually considered at the last step of development, it is difficult to apply the security during the whole process of system development, from the requirement analysis to implementation. Therefore, this paper suggests an object-oriented analysis and design methodology for secure database design from the requirement analysis to implementation. This object-oriented analysis and design methodology for secure database design offers correlations with database that most existing object-oriented analysis and design methodologies could not provide. It also uses UMLsec, the modeling language, to apply security into database design. In addition, in order to implement security, RBAC (Role Based Access Control) of relational database is used.

Development of self-esteem enhancement program and effective evaluation through instructional sand box play -Focusing on Multicultural Family Children- (지시적 개별모래상자놀이를 통한 자아존중감 향상 프로그램개발 및 효과성 검증 -해체 다문화가족 아동을 중심으로-)

  • Lee, Ok-Ja
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.3
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    • pp.353-365
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    • 2019
  • The purpose of this research is to guide the development of the program for the Directive Individual Sand Box Play for the improvement of the self-esteem of children of the dissolved multicultural families. For quantitative analysis data, the scores from before and after the program were compared. The SPSS 18.0 Package was used for statistical analysis. For the qualitative analysis, the linguistic changes in B children during the session were collected and analyzed using the self-expression scale. The research period lasted for around 3 months from February 2017 to May 2017, for a total of 12 sessions which included individual activities, 1 session of group activities, and 1 night and 2 days of family camp activities featuring a total of 6 children. The main results of this research include quantitatively through the program of the Directive Individual Sand Box Play in relation to the social self-esteem capability at z=-2,200 on the level of p<.05, the significant difference was shown. Qualitatively, positive expression increased as sessions proceeded and negative expression reduced regarding the linguistic expressions by session of children B. This means that the method of the Directive Individual Sand Box which presents the topic and in addition, the process of visiting the house of a child which is the most secure environment had shown the effectiveness that increases the improvement of the self-esteem of the children of the dissolved multi-cultural families. According to the diverse special characteristics of clients, a preliminary basic framework for the mobile individual sand box program through the directive approach method will be prepared.

A Study on Agricultural Drought Monitoring using Drone Thermal and Hyperspectral Sensor (드론 열화상 및 초분광 센서를 이용한 농업가뭄 모니터링 적용 연구)

  • HAM, Geon-Woo;LEE, Jeong-Min;BAE, Kyoung Ho;PARK, Hong-Gi
    • Journal of the Korean Association of Geographic Information Studies
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    • v.22 no.3
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    • pp.107-119
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    • 2019
  • As the development of ICT and integration technology, many changes and innovations in agriculture field are implemented. The agricultural sector has shifted from a traditional industry to a new industrial form called the 6th industry combined with various advanced technologies such as ICT and IT. Various approaches have been attempted to analyze and predict crops based on spatial information. In particular, a variety of research has been carried out recently for crop cultivation and smart farms using drones. The goal of this study was to establish an agricultural drought monitoring system using drones to produce scientific and objective indicators of drought. A soil moisture sensor was installed in the drought area and checked the actual soil moisture. The soil moisture data was used by the reference value to compare and analyze the temperature and NDVI established by drones. The soil temperature by the drone thermal image sensor and the NDVI by the drone hyperspectral was analyzed the correlation between crop condition and soil moisture in study area. To verify this, the actual soil moisture was calculated using the soil moisture measurement sensor installed in the target area and compared with the drone performance. This study using drone drought monitoring system may enhance to promote the crop data and to save time and economy.

The Research on the Development Potential of Smart Public Facilities in Public Design - Focusing on examples of public facilities in smart cities - (공공디자인에서 스마트 공공시설물의 발전 가능성에 관한 연구 -스마트 도시의 공공시설물 사례를 중심으로-)

  • Son, Dong Joo
    • Journal of Service Research and Studies
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    • v.13 no.4
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    • pp.97-112
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    • 2023
  • Background: In modern society, the importance of Public Design has become increasingly significant in contributing to the enhancement of urban functionality and the quality of life of citizens. Smart Public Facilities have played a pivotal role in enriching user experience by improving accessibility, convenience, and safety, and in elevating the value of the city. This research recognizes the importance of Public Facilities and explores the potential of Smart Public Facilities in solving urban challenges and progressing towards sustainable and Inclusive cities. Method: The literature review comprehensively examines existing theories and research results on Smart Public Facilities. The case study analyzes actual examples of Smart Public Facilities implemented in cities both domestically and internationally, drawing out effects, user satisfaction, and areas for improvement. Through analysis and discussion, the results of the case studies are evaluated, discussing the potential development of Smart Public Facilities. Results: Smart Public Facilities have been found to bring positive changes in various aspects such as urban management, energy efficiency, safety, and information accessibility. In terms of urban management, they play a crucial role in optimization, social Inclusiveness, environmental protection, fostering citizen participation, and promoting technological innovation. These changes create a new form of urban space, combining physical space and digital technology, enhancing the quality of life in the city. Conclusion: This research explores the implications, current status, and functions of Smart Public Facilities in service and design aspects, and their impact on the urban environment and the lives of citizens. In conclusion, Smart Public Facilities have brought about positive changes in the optimization of urban management, enhancement of energy efficiency, increased information accessibility, User-Centric design, increased interaction, and social Inclusiveness. Technological innovation and the integration of Public Facilities have made cities more efficient and proactive, enabling data-based decision-making and optimized service delivery. Such developments enable the creation of new urban environments through the combination of physical space and digital technology. The advancement of Smart Public Facilities indicates the direction of urban development, where future cities can become more intelligent, proactive, and User-Centric. Therefore, they will play a central role in Public Design and greatly contribute to improving the urban environment and the quality of life of citizens.

Development of Topic Trend Analysis Model for Industrial Intelligence using Public Data (텍스트마이닝을 활용한 공개데이터 기반 기업 및 산업 토픽추이분석 모델 제안)

  • Park, Sunyoung;Lee, Gene Moo;Kim, You-Eil;Seo, Jinny
    • Journal of Technology Innovation
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    • v.26 no.4
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    • pp.199-232
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    • 2018
  • There are increasing needs for understanding and fathoming of business management environment through big data analysis at industrial and corporative level. The research using the company disclosure information, which is comprehensively covering the business performance and the future plan of the company, is getting attention. However, there is limited research on developing applicable analytical models leveraging such corporate disclosure data due to its unstructured nature. This study proposes a text-mining-based analytical model for industrial and firm level analyses using publicly available company disclousre data. Specifically, we apply LDA topic model and word2vec word embedding model on the U.S. SEC data from the publicly listed firms and analyze the trends of business topics at the industrial and corporate levels. Using LDA topic modeling based on SEC EDGAR 10-K document, whole industrial management topics are figured out. For comparison of different pattern of industries' topic trend, software and hardware industries are compared in recent 20 years. Also, the changes of management subject at firm level are observed with comparison of two companies in software industry. The changes of topic trends provides lens for identifying decreasing and growing management subjects at industrial and firm level. Mapping companies and products(or services) based on dimension reduction after using word2vec word embedding model and principal component analysis of 10-K document at firm level in software industry, companies and products(services) that have similar management subjects are identified and also their changes in decades. For suggesting methodology to develop analysis model based on public management data at industrial and corporate level, there may be contributions in terms of making ground of practical methodology to identifying changes of managements subjects. However, there are required further researches to provide microscopic analytical model with regard to relation of technology management strategy between management performance in case of related to various pattern of management topics as of frequent changes of management subject or their momentum. Also more studies are needed for developing competitive context analysis model with product(service)-portfolios between firms.

Identifying Antecedents of Service Innovation: Based on Service-Dominant Logic and Resource-Advantage Theory (서비스 혁신의 선행요인에 관한 연구: 서비스 지배적 논리와 자원 우위 이론을 중심으로)

  • Ryu, Hyun-Sun;Han, Jin Young
    • Information Systems Review
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    • v.18 no.2
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    • pp.79-106
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    • 2016
  • Service innovation is one means of gaining an advantage in a highly competitive environment. Although numerous studies have stressed the importance of service innovation, traditional good-dominant logic is still used in service innovation literature. Furthermore, few studies have been conducted on the link between service innovation and its antecedents in terms of service-oriented approach. To fill the gap, this article theoretically and empirically examines service innovation and its antecedents and consequences. Based on service-dominant logic and resource advantage theory, the current study aims to understand the effect of antecedents on service innovation as well as to identify the effect of service innovation on firm performance (i.e., non-financial and financial performance). Three service innovation activities, namely service creation-focused innovation, service delivery-focused innovation, and customer interaction-focused innovation, and four antecedents of service innovation, including human resource management capability, collaboration capability, marketing capability, and information technology capability, are identified based on Den Hertog (2000)'s service innovation framework. By using the empirical data collected from 189 service firms in Korea, this study explores the causal relationship among antecedents, service innovation and firm performance. Findings indicate that human resource management and marketing capabilities influence the three types of service innovation, whereas collaboration and information technology capabilities have a significant effect on both service creation-focused innovation and service delivery-focused innovation. In particular, human resource management capability is strongly related to customer interaction-focused innovation. The three types of service innovation have a positive influence on non-financial performance, whereas service delivery-focused innovation and customer interaction-focused innovation positively influence financial performance. These results support the crucial effects of antecedents, such as human resource management, collaboration, marketing and information technology capabilities, on service innovation.

Determining Major Items of Scheduled Maintenance for Apartment through Case Data: Focused on Improving the Establishment Standard for Long-term Repair Program (사례 데이터 분석을 통한 공동주택 계획수선 주요 항목 도출: 법령 상의 장기수선계획 수립기준 현실화를 중심으로)

  • Song, Sanghoon;Lee, Seok-Je;Park, Seong-Sik
    • Land and Housing Review
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    • v.7 no.1
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    • pp.43-51
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    • 2016
  • The long-term repair program is significant as the execution standard for apartment in repair construction, and provides the basis for effective facility management through appropriation reserve and preventive maintenance. Considering its importance, the government legislates the items, cycle, and ratio for long-term repair. However, the frequent changes, controversies on repair, and difficulties in using appropriation reserve are caused as the items have not been revised on time reflecting up-to-date construction technologies. In order to resolve these problems, it is required to improve the standard by evaluating the appropriateness of repair items throughout the analysis of actual conditions. This study aims to suggest the revision plan for the criteria with the major items based on the status identified by the actual long-term repair programs and historical repair construction data. To do this, the adoption ratios of items to program are reviewed by collecting the real cases of the long-term repair programs. Developing improvement plan was approached in two ways such as "exclusion method" deleting minimum unnecessary items and "selection method" sorting out items with high adoption ratio and evidence of repair in a positive manner. Aa a result, the major items were identified as 118 items and 73 items by exclusion method and selection method respectively from the current 147 items. The outcomes of this study are expected to contribute enhancing the practicality of the standard in that the regulation for long-term repair program should periodically reflect the status of currently applied construction methods and materials.

Collaborative Planning Model for Brownfield Regeneration (브라운필드 재생을 위한 협력적 계획 모델 연구)

  • Kim, Eujin Julia;Miller, Patrick
    • Journal of the Korean Institute of Landscape Architecture
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    • v.43 no.3
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    • pp.92-100
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    • 2015
  • Unlike most other planning processes, brownfield planning generally requires a high level of technical and legal expertise due to potential site contamination. To successfully engage in inclusionary decision making, an adaptive collaboration strategy for brownfield planning is therefore critical. This study examines how a communicative planning approach can be used to overcome the challenge of enabling experts from different fields to work alongside lay people from the local community to achieve a properly balanced collaboration in brownfield planning. After identifying appropriate indicators for collaboration through a literature review of established communicative planning theory, these indicators are applied to the brownfield planning process, highlighting critical points of collaboration such as site prioritization, assessment, remediation, and redevelopment throughout. The results suggest the critical need for an adaptive model focusing on three aspects: 1. Facilitation of a balanced dialogue between the experts with social, cultural, and design-based knowledge and the ones with scientific and engineering-based knowledge, 2. Preparation of an appropriate tool for risk communication with the lay people, 3. Development of decision support system for the integration of expert-oriented technical data and public opinion-oriented subjective data.

Study of the Factors affecting Unmet Medical Needs in Patients with Cerebrovascular Diseases (뇌혈관질환자의 미 충족 의료에 미치는 영향요인 연구)

  • Lee, Jeong Wook
    • Journal of Digital Convergence
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    • v.16 no.9
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    • pp.279-291
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    • 2018
  • This study is designed to demonstrate risk factors of unmet medical care for people with cerebrovascular disease. To do this, statistical analysis was performed by using hierarchical logistic regression analysis with SPSS/WIN24.0 program using Korean Medical Panel data in 2014. In the final model of the hierarchical logistic regression analysis, which is based on Anderson's Model, adjusted for the factors of the predisposing and enabling factors, the explanatory variables affecting the unmet medical development are gender, economic activity, income level, the experience of lying in a sickbed, restriction on activity, subjective health condition, and the number of chronic diseases. Based on the results of this study, the practical and policy implications for the effective management and treatment of cerebrovascular disease should be included in the countermeasures for cerebrovascular disease, a strategy to reduce the unmet medical incidence of cerebrovascular disease, in order to meet the medical needs, the necessity of comprehensive measures considering various dimensions of variables and the influential variables of unmet medical emergence have been suggested for the necessity of making a detailed service manual that can improve accessibility to medical services.

Analysis of Public Transport Ridership during a Heavy Snowfall in Seoul (기상상황에 따른 서울시 대중교통 이용 변화 분석: 폭설을 중심으로)

  • Won, Minsu;Cheon, Seunghoon;Shin, Seongil;Lee, Seonyeong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.39 no.6
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    • pp.859-867
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    • 2019
  • Severe weather conditions, such as heavy snowfall, rain, heatwave, etc., may affect travel behaviors of people and finally change traffic patterns in transportation networks. To deal with those changes and prevent any negative impacts on the transportation system, understanding those impacts of severe weather conditions on the travel patterns is one of the critical issues in the transportation fields. Hence, this study has focused on the impacts of a weather condition on travel patterns of public transportations, especially when a heavy snowfall which is one of the most critical weather conditions. First, this study has figured out the most significant weather condition affecting changes of public transport ridership using weather information, card data for public transportation, mobile phone data; and then, developed a decision-tree model to determine complex inter-relations between various factors such as socio-economic indicators, transportation-related information, etc. As a result, the trip generation of public transportations in Seoul during a heavy snowfall is mostly related to average access times to subway stations by walk and the number of available parking lots and spaces. Meanwhile, the trip attraction is more related to business and employment densities in that destination.