Earticle

This paper presents an innovative solution for 3D character model texture mapping based on artificial intelligence (AI) image generation models. This study explored the potential of AI-generated textures to enhance the efficiency and effectiveness of the traditional manual workflow. By leveraging state-of-the-art AI image generation techniques, we proposed a new workflow that could address existing challenges in the current texture mapping process. This research began with an introduction to AI image generation models with a review of the current status and applications of these models in texture map generation. We then identified and analyzed issues associated with the existing character model texture workflow, highlighting inefficiencies and areas for improvement. Our proposed AI-assisted workflow aimed to streamline the texture creation process, significantly reducing the time required while maintaining high-quality outputs. To validate the new workflow, we conducted a series of experiments with professional 3D artists, yielding clear and significant results. The new AI-assisted workflow significantly reduced texture creation time by an average of 76% to 89% compared to traditional manual methods, demonstrating its potential to drastically improve efficiency. Qualitative feedback from artists highlighted that the new workflow not only streamlined the process, but also made it more user-friendly and accessible. However, some limitations were identified, including the need for further refinement of AI-generated textures to achieve a quality level comparable to those created by highly skilled artists.

동계 올림픽 및 패럴림픽 대회를 위한 눈 저장사업의 타당성과 융해율이나 단열재 특성 등 사업실시에 필요 한 사전 정보를 획득하고자 하여 눈 저장 시범사업을 수행하였다. 저장 사업 운영시 적절한 단열시스템 설계와 이에 따른 신뢰할만한 최종 잔설량의 추정이 가장 중요한 요소이다. 본 연구에서는 비교적 단순한 수치 모델을 사용하여 두 가지 형태로 진행된 눈저장 사례에 대하여 예측을 하였으며 드론기반 항공촬영으로 구축한 3D 모델로 눈의 부피를 측정하여 비교 검토하였다. 비교 결과 이론 모델은 단순하지만 현장 측정결과와 잘 부합하였다. 동일한 모델을 사용해 민감도 분석을 수행하여 초기 저장부피와 열전도도의 영향을 검토하여 적절한 초기저장부피와 단열시스템을 선정할 수 있는 방법을 제시하였다. 이 방법은 동절기에 저장한 눈의 냉열을 이용한 하절기 냉방과 같은 신재생 에너지 시스템 에 동일하게 적용할 수 있다.

For the 2018 Olympic Winter Games, a pilot project was carried out to obtain information, such as the feasibility of the snow storage, melting rate and thermal insulation characteristics. The important factors are the design of insulation system and the reliable estimation of the final snow volume. The volumes of two types of snow stockpiles were estimated by using a simple snow melting model and their results were compared with the volume measured by aerial mapping using drone. As a result of comparison, the simple model provided a reliable estimation of snow stockpile volume. The sensitivity analyses were also performed to explore the effect of initial volume and thermal conductivity of insulation system on the final volume. Finally, rational selection method for adequate initial volume of stockpiled snow and insulation system was suggested. This method can be applied to renewable cooling system during summer using the stockpiled snow during winter season.

‘NIST framework and road map for smart grid interoperability standards’ 기술 보고서는 스마트 그리드의 발전 방향, 표준의 상호운용성을 확보하는 아키텍처 프레임워크를 제시하고, 식별된 표준 리스트, 사이버 보안 전략, 시험 인증 프레임 워크를 제공하는 문서이다. 특히, 스마트 그리드의 표준 프로토콜인 SEP 2.0과 OpenADR 2.0이 그 예이다. SEP 2.0과 OpenADR 2.0은 기능적으로 HEMS와 스마트 그리드를 이어주는 역할을 할 수 있지만, 두 프로토콜 간에 상호운용 표준은 상기 문서에서 계획된 바가 없다. 또한, OpenADR 연합에서는 OpenADR 2.0과 SEP 2.0간의 상호운용을 위한 매핑 테이블을 정의하는 작업이 진행 중이라 발표했지만, 아직 공개한 정보는 없다. 따라서 본 논문에서는 신재생 에너지 효율 개선 HEMS 개발에 있어 ICT 전력 융합을 위한 SEP 2.0과 OpenADR 2.0b간의 상호운용을 각 프로토콜의 표준 사양 문서 기반의 구문과 의미로 대응하는 매핑 모델을 제안 하고 수요 반응 서비스 시나리오 기반의 의미 매핑 기능 예제를 통해 이를 확인하였다.

The ‘NIST Framework and Road Map for Smart Grid Interoperability Standards’ proposes an architecture framework to secure the direction of development and standard interoperability of smart grid and provides a list of identified standard, standard cyber security strategies, and certification framework. In particular, SEP 2.0 and OpenADR 2.0 are the examples. SEP 2.0 and OpenADR 2.0 can functionally link HEMS and Smart Grid, but interoperability standards between the two protocols are not planned in above document. The OpenADR Alliance also announced that work is underway to define mapping tables for interoperability between OpenADR 2.0 and SEP 2.0, but no information is yet available. Therefore, In this paper, in developing energy efficiency improvement HEMS, we propose a mapping model that supports syntactic and semantic founded interoperability between SEP 2.0 and OpenADR 2.0b for ICT grid convergence based on the standard specification document of each protocol and confirmed through an example of the semantic mapping function based on the demand response service scenario.

본 연구의 목적은 정신장애인의 클럽하우스 이용 경험에 대해 개념도 방법(concept mapping)을 활용하여 탐색함으로써 정신장애인의 회복 증진을 돕는 클럽하우스의 확대 및 발전 방향을 제시하는 데 있다. 눈덩이 표집방법으로 서울과 경북에 위치한 클럽하우스 모델을 이용 중인 성인 정신장애인 12명을 대상으로 개별 심층 면담을 실시하였고, 89개의 최종진술문을 도출하였다. 연구참여자는 직접 진술문 유사성 분류 및 중요도 평정 작업에 참여하고, 이를 다차원척도법과 위계적 군집분석의 Ward의 방법을 활용하여 개념도를 형성하였다. 분석 결과, 정신장애인의 클럽하우스 이용 경험에 관한 개념도는 x축인 ‘성과(+)-투입(-)’, y축인 ‘외현적(+)-내현적(-)’으로 2차원으로 구분되었다. 군집은 ‘1군집: 사회적 역할 수행 확대’, ‘2군집: 직원의 회원중심 실천’, ‘3군집: 자발성에 기반한 기관운영’, ‘4군집: 스탠다드에 따른 협력관계’, ‘5군집: 강점관점의 적용’, ‘6군집: 공동체를 통한 주체성 강화’, ‘7군집: 삶의 회복’으로 구성되며, 군집 7인 ‘삶의 회복’의 중요도를 가장 높게 평정하였다. 이러한 연구 결과를 바탕으로 정신장애인을 위한 클럽하우스 모델의 발전 방향에 대해 제언하였다.

This study explores the clubhouse experiences of individuals with mental illness using concept mapping and suggests directions for its expansion to support recovery. In-depth interviews were conducted with 12 clubhouse users in Seoul and Gyeongbuk, selected via snowball sampling, yielding 89 final statements. Participants classified statement similarity and rated their importance. Using multidimensional scaling and Ward's hierarchical cluster analysis, a concept map was created. The analysis categorized the clubhouse experience into two dimensions: the x-axis (‘Outcome (+) ? Input (-)’) and the y-axis (‘Explicit (+) ? Implicit (-)’). The clusters were: (1) Expansion of social role performance, (2) Member-centered practice of staff, (3) Institutional operation based on voluntarism, (4) Cooperative relationships following standards, (5) Application of strength-based perspective, (6) Enhancing the sense of agency through community, and (7) Life recovery. ‘Life recovery’ was rated most important. Based on these findings, recommendations for clubhouse model development were proposed.

본 연구의 목적은 간단한 입력자료로 정확한 홍수해석을 수행할 수 있는 2차원 침수모형을 개발하는데 있다. 현재 침수예상도 작성을 위해 사용되는 2차원 침수해석 모형들은 복잡한 입력자료 및 격자 생성 도구를 필요로 한다. 이는 때때로 침수 모델링을 위해 많은 시간과 노력이 요구되며, 상황에 따라서는 입력자료의 구축에 어려움이 있을 수도 있다. 이러한 단점들을 보완하기 위해, 본 연구에서는 정확한 지형자료를 간단한 입력자료로 반영하여, 정확하고 신속한 침수해석을 도출할 수 있는 그리드 기반 모형을 개발하였다. 기존의 2×2 Sub-grid 모형을 5×5 Sub-grid까지 확장하여 계산의 효율성을 개선하였다. 모형의 정확성 및 적용성을 검토하기 위해, 태풍 루사로 인해 내수침수와 외수범람이 동시에 발생한 감천유역에 적용하였다. 사용자의 선택에 따른 효율적인 홍수분석을 위해, 격자 크기와 Sub-grid 개수에 따른 홍수파 전파양상, 침수해석의 정확성, 모형의 수행시간을 조사하였다. 개발된 모형은 정확한 침수해석 결과를 보여주는 침수예상도에서부터 대략적인 침수여부만을 보여주는 홍수위험도까지 다양한 상황에 맞는 침수해석 결과를 제시할 수 있으며, 재해지도 작성에도 활용성이 높을 것으로 기대된다.

The objective of this study is to develop a two-dimensional (2D) flood model that can perform accurate flood analysis with simple input data. The 2D flood inundation models currently used to create flood forecast maps require complex input data and grid generation tools. This sometimes requires a lot of time and effort for flood modeling, and there may be difficulties in constructing input data depending on the situation. In order to compensate for these shortcomings, in this study, a grid-based model that can derive accurate and rapid flood analysis by reflecting correct topography as simple input data was developed. The calculation efficiency was improved by extending the existing 2×2 sub-grid model to a 5×5. In order to examine the accuracy and applicability of the model, it was applied to the Gamcheon Basin where both urban and river flooding occurred due to Typhoon Rusa. For efficient flood analysis according to user's selection, flood wave propagation patterns, accuracy and execution time according to grid size and number of sub-grids were investigated. The developed model is expected to be highly useful for flood disaster mapping as it can present the results of flooding analysis for various situations, from the flood inundation map showing accurate flooding to the flood risk map showing only approximate flooding.

엔터프라이즈 정보화를 추진하는데 있어서 가장 심각한 문제 중 하나는 서로 연계 통합되지 않은 사일로(Silo) 시스템 문제이다. 정보전략계획(Information Strategy Planning)은 비즈니스에 필요한 개별시스템 기능성 도출에 국한되어 오히려 이러한 사일로 문제를 가중시키고 있다. 본 연구는 엔터프라이즈 사일로 문제가 엔터프라이즈 제반 요소들이 가지는 관계에 대한 총체적 시각, 곧 ‘아키텍처적 시각’이 부재하기 때문이라고 보고, 이러한 엔터프라이즈 요소간 관계를 정의하고 체계화할 수 있는 ‘엔터프라이즈 아키텍처 지향 모델’을 제안한다. 이를 위해 본 연구는 엔터프라이즈 제반 구성요소들 상호간에 수직적, 수평적 관계성을 부여하고 엔터프라이즈가 이들 관계에 있어서 거치는 진화의 단계를 설정한다. 엔터프라이즈 아키텍처 지향 모델에서 수직적 관계는 Kaplan과 Norton의 연구로부터 도출된 성과, 역량, 전략이라는 세 요소가 조직 상하간에 전략적․관리적 측면에서 ‘연계(Alignment)’되어야 함을 의미한다. 수평적 관계는 Ross 등이 통합 대상으로 다룬 정보기술, 데이터/프로세스, 비즈니스 컴포넌트 요소들이 수평 조직간에 기능적․실행적 측면에서 ‘통합(Integration)’되어야 함을 강조한다. 본 모델은 엔터프라이즈의 현재와 미래 아키텍처를 사상하는 개념공간으로서 엔터프라이즈의 현재 모습을 파악하고 엔터프라이즈가 지향하는 미래 모습을 도출하며 현재에서 미래로의 이행을 인도하는 개념적틀로서 작용하게 된다. 끝으로 본 모델의 적용 사례를 들고 모델의 적용이 각 엔터프라이즈가 지향하는 엔터프라이즈 모습에 따라 어떻게 달라질 수 있는지를 논의한다.

Most enterprise information systems today are silo systems in that they are not properly aligned nor integrated with one another. Such silo systems result because enterprises lack an architectural perspective in the planning and development of the systems. This paper proposes an Enterprise Architecture Orientation Model as a framework for the analysis, planning and design of the architectural quality of enterprise information systems. The model decomposes enterprise architecture into two dimensions-alignment and integration, and specifies for each dimension the general development and evolution stages enterprises may traverse. The alignment dimension represents the vertical strategic alignment of the systems with the vision, mission, strategy and goals of the enterprise, and is analyzed in terms of the performance, capability, and strategy of the enterprise. The integration dimension, on the other hand, represents the horizontal and functional integration among the systems that span organizational functions and boundaries, and is analyzed in terms of such technological components as IT infrastructure, data, application, and business processes. The model combines the alignment and integration dimensions to form a two-dimensional conceptual space for mapping the architectural quality of the enterprise. It is proposed that an enterprise use the model to identify and understand its position now and in the future in the architectural quality of the enterprise information systems. It is also proposed that the model provides a tool for the planning and design of the transition from one stage to the next in the alignment and integration of the systems to reach an architectural maturity. At the end, the paper discusses how the model can be applied differently according to the strategic orientation of the enterprise. An example of the usage of the model is presented.

In order to improve ability and competitiveness of enterprises to fit market faster, and to short time of productions’ designing and manufacturing. With the developing of the technology of manufacturing cell turning into intelligence, the method of productions’ manufacturing process model that is based on work flow was put forward in this passage. The model of product manufacturing process which was based on the process model defined by the workflow standard was expanded. It was not only to reflect the structure of manufacturing process, but also to describe the dynamic distribution of manufacturing resource in the manufacturing process. The methods and correlations of the modeling of production procedure process, the dynamic modeling of manufacturing resource and the modeling of product manufacturing process were expounded in details. Finally, the accuracy and validity of this model were verified by the system simulation of the manufacturing process of high-compression cylinder which was a key component in steam turbine.

In Current artificial structures, we must periodically make their safety inspections. In this process, we should consider the safety of workers and the accuracy of safety checks and also consider time and cost savings for safety inspections. Additionally, in the fields of architecture and civil engineering, we are unavoidable the use of foreign commercialized BIM model tools. To address these challenges, we propose mapping crack areas and BIM 3D design drawings based on augmented reality (AR) for the safety inspection of Huge Bridges. For this purpose, we define indexing of 2D/3D drawing models, create the tabulation of all 2D/3D drawings into a database, analyze QR codes, and finally integrate with augmented reality devices. we may expect our method to improve the efficiency of safety inspections on bridge sites. Moreover, we will enable the domestics of our pure technology.

본 논문에서는 고속 스위칭이 가능한 멀티 프로토콜 레벨 스위칭망에서의 DiffServ와의 서비스 결합을 위한 PHB 매핑모델을 제안 하였고, 제안된 매핑모델을 기반으로 멀티 프로토콜 레벨 스위칭망에서 대역폭을 보장하는 차등화 서비스 모델을 설계하였다. EF, BE, AF1, AF2 트래픽을 적용하여 9초 동안의 Throughput에 대한 시뮬레이션 결과, 전체 발생된 트래픽은 2.45Mbps로 링크의 수용가능 속도인 1.5Mbps의 60%를 초과한 트래픽을 발생시켰다. AF1과 AF2는 trTCM의 PIR 값인 700Kbps 및 600Kbps로 설정되어있어 링크에서의 포화 상태의 흐름을 확인 미터링을 수행하고 trTCM을 이용하여 마킹을 적용한 후 전송률을 PIR에 적용되어 전송됨을 확인할 수 있으며, Priority의 우선순위가 BE보다 높으므로 우선적으로 전송됨을 확인 할 수 있었다. BE인 경우 우선순위가 AF1, AF2보다 낮아 링크에서의 포화 상태 발생시 기아문제가 발생됨을 알 수 있다. EF, BE, AF1, AF2 동시 전송시 BE의 트래픽 전송은 거의 기아상태에 있음을 확인 할 수 있었다. AF1 폐기율과 AF2 폐기율의 경우 AF1은 trTCM의 PIR, CIR 값이 AF2 높으며 우선순위도 높아 AF2보다 패킷 폐기율이 낮다. 그러나 BE는 링크에서의 병목현상이 발생 시 AF1, AF2에 의한 네트워크 자원의 우선으로 패킷에 대한 전송이 전혀 이루어지지 않고 있음을 알 수 있다.

This study proposed the PHB mapping model for combining services with DiffServ in the MPLS network capable of high-speed switching, and the effective differential bandwidth service model in the MPLS network on the basis of the proposed mapping model. The result of simulation on the service model using PRI showed that the transmission rate was achieved as much as the assigned bandwidth regardless of the increase of traffic as far as the EF PHB did not exceed the assigned bandwidth at the peak rate when the overall traffic increased.

An Integrated Approach Model of English Poetry through Semantic Mapping. Studies in English Language & Literature. 37.4 (2011): 277-301. Poetry has long been neglected in the classroom especially concerned with language education. This study, based on the experience of involving students in the communicative uses of poetry, investigates the possibility of building an integrated approach model of poetry in the classroom. As a way of exploring the educational values of engaging English poetry in English language pedagogy, this paper rethinks the process of reading poetry in the classroom based on Whole Language Theory. In the process, the semantic mapping technique is experimented and presented as an effective way of promoting more dynamic interactions among the text, learners, and language skills. For an integrated approach model of English Poetry through semantic mapping, Walt Whitman’s poem, “Song of Myself” is taken as a sample poem. Through the analysis of the class and the feedback from students, this paper draws the conclusion that reading a poem for English education can be both a meaningful activity and an effective teaching strategy involving students in experiencing four skills (listening, speaking, reading, writing) of language in an integrated manner. (Konyang UniversityㆍInha University)

증발산은 순복사 에너지를 사용하여 잠열의 형태로 수증기를 대기 중으로 수송함으로써 지구에너지 순환에 있어 중요한 요소 중의 하나이며, 증발산량은 지표유출의 두 배 정도로서 지구 물 수지에서 차지하는 비중이 매우 크다. 증발산의 지상관측은 지점에 국한되기 때문에 공간연속면 상에서의 증발산량 산출을 위하여 격자형 기상자료와 위성자료를 이용한 모델링이 오랫동안 이루어져왔다. PM(Penman-Monteith) 방정식에 기초한 METRIC(Mapping Evapotranspiration with Internalized Calibration) 모델이나 PT(Priestley-Taylor) 방정식을 이용한 MS-PT(Modified Satellite-based Priestley-Taylor) 모델 등이 주로 사용되어 왔으나, 또 하나의 대안으로서 본 연구에서는 최근 부각되고 있는 딥러닝 기법인 DNN(deep neural network)을 이용한 증발산 모델링을 수행하였다. 은닉층 구조, 손실함수, 옵티마이저, 활성화함수, L1/L2 정규화, 드롭아웃 비율 등의 최적화 과정을 거쳐서 수립한 DNN 모델은 RMSE = 0.326mm/day, 상관계수 = 0.975의 매우 양호한 정확도를 나타내었다. 이는 DNN 최적화와 함께, 국지예보모델과 위성자료로부터 증발산 기작에 관여하는 인자들을 선택하여 입력자료로 적절히 사용하였기 때문이기도 하다. 향후과제로서 훈련자료의 종류와 양을 증가시켜서 DNN 모델을 보다 정교화하는 것은 반드시 필요하다고 사료된다.

Evapotranspiration is an important factor for Earth energy balance which transports vapor into atmosphere in the form of latent heat using net radiation energy. Measuring the evapotranspiration is actually limited to a point, so the modeling on a spatially continuous grid has been conducted for a long time using meteorological and satellite data. In addition to the PM (Penman-Monteith) equation-based METRIC (Mapping Evapotranspiration with Internalized Calibration) model and the PT (Priestley-Taylor) equation-based MS-PT (Modified Satellite-based Priestley-Taylor) model, the DNN (deep neural network) as an emerging technique can be a viable option. We conducted a DNN modeling of evapotranspiration through optimization for hidden layer structure, loss function, optimizer, active function, L1/L2 regularization, and dropout ratio. The result showed a quite favorable accuracy with the RMSE of 0.326 mm/day and the correlation coefficient of 0.975. This is because we used optimal input variables associated with the mechanism of evapotranspiration from numerical weather prediction model and satellite data, in addition to the DNN optimization. However, a more delicate modeling by increasing the volume and kind of training dataset will be necessary for future work.

The searching of an extensive document database for documents that are locally similar to a given query document, and the subsequent detection of similar regions between such documents, is considered as an essential task in the fields of information retrieval and data management. In this paper, we present a framework for such a task. The proposed framework employs the method of short-read mapping, which is used in bioinformatics to reveal similarities between genomic sequences. In this paper, documents are considered biological objects; consequently, edit operations between locally similar documents are viewed as an evolutionary process. Accordingly, we are able to apply the method of evolution tracing in the detection of similar regions between documents. In addition, we propose heuristic methods to address issues associated with the different stages of the proposed framework, for example, a frequency-based fragment ordering method and a locality-aware interval aggregation method. Extensive experiments covering various scenarios related to the search of an extensive document database for documents that are locally similar to a given query document are considered, and the results indicate that the proposed framework outperforms existing methods.

정부는 공공데이터의 민간 개방, 활용을 장려함으로써 신산업, 일자리 창출 등 창조경제 활성화에 기여하는 것을 주요 국정과제로 삼고 있다. 그리고 고품질 공공데이터 보유를 위해 공공데이터 품질관리 수준평가 진행 등의 활동을 통해 공공데이터 품질 향상을 도모하고 있다. 그러나 품질진단 도구 사용자의 데이터 전문성, 이해도에 따라 공공데이터 품질관리 수준평가 결과에 격차가 발생하기 때문에 진단 결과의 정확성을 보장하기 어렵다. 본 논문은 데이터 이해도가 낮은 사용자의 진단 결과에 대한 정확성을 보장하기 위해 데이터 품질진단 기준 중 유효성 진단에 적용 가능한 공공데이터 품질관리 수준평가 도메인규칙 매핑 모델을 제안하였다. 또한 모델에 실제 데이터를 적용한 결과 공공데이터 품질진단의 안정성과 정확성을 높이는 것을 확인하였다.

The Korean government has made it a major national task to contribute to the revitalization of the creative economy, such as creating new industries and jobs, by encouraging the private opening and utilization of public data. The Korean government is promoting public data quality improvement through activities such as conducting public data quality management level evaluation for high-quality public data retention. However, there is a difference in diagnosis results depending on the understanding and data expertise of users of the public data quality diagnosis tool. Therefore, it is difficult to ensure the accuracy of the diagnosis results. This paper proposes a public data quality management level evaluation domain rule mapping model applicable to validation diagnosis among the data quality diagnosis standards. This increases the stability and accuracy of public data quality diagnosis.

In this paper, we propose a computational integral imaging reconstruction (CIIR) method using a round mapping model to improve the viewing quality of 3-D images. The proposed CIIR method can overcome the problem of non-uniformly reconstructed images caused by the conventional method. To show the usefulness of proposed method, some experiments are carried out and the results are presented.

Objectives: This study attempted to apply the Intervention mapping and Transtheoretical models to develop a program to promote moderate alcohol drinking in university students. Methods: Surveyed data from 1,137 university students were analyzed to identify personal and environmental determinants for alcohol drinking. Based on these determinants, program objectives were established. Crossing the objectives with related important determinants resulted in matrices of learning objectives for which educational strategies were developed. Subsequently, an intervention program were designed to achieve those objectives. Results: Identified personal determinants included awareness, attitudes, self-efficacy and behavioral skills. Environmental determinants were binge drinking behaviors of family members and peers, and social pressure for drinking. Program, impact and learning objectives were developed to change the identified determinants. Program activities included provision of information on positive and negative consequences of binge drinking, opportunities for assessing one's drinking pattern, increasing outcome expectancies of and skill building for monitoring drinking, resisting peer pressure and managing stress. To facilitate adoption and maintenance of the program, an intervention diffusion plan was suggested. An evaluation plan was developed by utilizing RE-AIM framework. Conclusions: In order to expand evidence bases for effective theory-based programs, the developed program should be tested in diverse university settings.

빠른 산업 발전 속에서 조직과 시스템이 복잡하고 대형화되면서 소프트웨어 품질을 향상시키고 그들의 신뢰성을 측정하기 위한 성숙도 모델들이 개발되었다. 그 중에서도 CMM와 이를 발전시킨 CMMI는 많은 조직에서 적용하기 위해 노력을 기울이고 있다. 하지만 두 모델들은 테스트 속성과 테스트 프로세스에 대한 언급이 부족하다. 본 논문에서는 모든 영역을 고려한 새로운 모델을 만들기 보다는 테스트 중심으로 개발된 TMM을 사용하여 CMMI과의 매핑을 통해 소프트웨어 조직의 생산품질과 신뢰성을 향상 시키는 방법을 제안한다. 논문에서는 CMMI 단점과 이를 보완하는 방법을 제안하고 이를 위해 TMM과 CMMI의 매핑전략에 언급한다. 이를 통해 기대되는 효과를 제시한다.

The aim of this study was to evaluate the susceptibility from landslides in the Lai Chau region of Vietnam, using Geographic Information System (GIS) and remote sensing data, focusing on the relationship between tectonic fractures and landslides. Landslide locations were identified from an interpretation of aerial photographs and field surveys. Topographic and geological data and satellite images were collected, processed, and constructed into a spatial database using GIS data and image processing techniques, and a scheme of the tectonic fracturing of the crust in the Lai Chau region was established. In this scheme, Lai Chau was identified as a region with low crustal fractures, with the grade of tectonic fracture having a close relationship with landslide occurrence. The factors found to influence landslide occurrence were: topographic slope, topographic aspect, topographic curvature, distance from drainage, lithology, distance from a tectonic fracture and land cover. Landslide prone areas were analyzed and mapped using the landslide occurrence factors employing the probability-likelihood ratio method. The results of the analysis were verified using landslide location data, and these showed a satisfactory agreement between the hazard map and existing landslide location data.

The aim of this study is to apply and verify of Bayesian probability model, the likelihood ratio and statistical model, at Janghung, Korea, using a Geographic Information System (GIS). Landslide locations were identified in the study area from interpretation of IRS satellite images, field surveys, and maps of the topography, soil type, forest cover, geology and land use were constructed to spatial database. The factors that influence landslide occurrence, such as slope, aspect and curvature of topography were calculated from the topographic database. Texture, material, drainage and effective soil thickness were extracted from the soil database, and type, diameter and density of forest were extracted from the forest database. Land use was classified from the Landsat TM image satellite image. As each factor's ratings, the likelihood ratio coefficient were overlaid for landslide susceptibility mapping, Then the landslide susceptibility map was verified and compared using the existing landslide location. The results can be used to reduce hazards associated with landslides management and to plan land use and construction.

As collaborative design and configuration design gain increasing importance in product development, it becomes essential to exchange parametric CAD models among participants. Parametric CAD models can be represented and exchanged in the form of a macro file or a part file that contains the modeling history of a product. The modeling history of a parametric CAD model contains feature specifications and each feature has selection information that records the name of the referenced topological entities. Translating this selection information requires solving the problems of how to identify the referenced topological entities of a feature (persistent naming problem) and how to convert the selection information into the format of the receiving CAD system (naming mapping problem). The present paper introduces the problem of exchanging parametric CAD models and proposes a solution to naming mapping.

The aim of this study is to apply and verify of logistic regression at Janghung, Korea, using a Geographic Information System (GIS). Landslide locations were identified in the study area from interpretation of IRS satellite images, field surveys, and maps of the topography, soil type, forest cover, geology and land use were constructed to spatial database. The factors that influence landslide occurrence, such as slope, aspect and curvature of topography were calculated from the topographic database.13${\times}$1ure, material, drainage and effective soil thickness were extracted from the soil database, and type, diameter and density of forest were extracted from the forest database. Land use was classified from the Landsat TM image satellite image. As each factor's ratings, the logistic regression coefficient were overlaid for landslide susceptibility mapping. Then the landslide susceptibility map was verified and compared using the existing landslide location. The results can be used to reduce hazards associated with landslides management and to plan land use and construction.