• Journal of the Korean Institute of Telematics and Electronics C
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• v.35C no.12
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• pp.1-12
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• 1998

In this paper, a design and implementation of VHDL-to-C mapping in the VHDL compiler back-end is described. The analyzed data in an intermediate format(IF), produced by the compiler front-end, is transformed into a C-code model of VHDL semantics by the VHDL-to-C mapper. The C-code model for VHDL semantics is based on a functional template, including declaration, elaboration, initialization and execution parts. The mapping is carried out by utilizing C mapping templates of 129 types classified by mapping units and functional semantics, and iterative algorithms, which are combined with terminal information, to produce C codes. In order to generate the C program, the C codes are output to the functional template either directly or by combining the higher mapping result with intermediate mapping codes in the data queue. In experiments, it is shown that the VHDL-to-C mapper could completely deal with the VHDL analyzed programs from the compiler front-end, which deal with about 96% of major VHDL syntactic programs in the Validation Suite. As for the performance, it is found that the code size of VHDL-to-C is less than that of interpreter and worse than direct code compiler of which generated code is increased more rapidly with the size of VHDL design, and that the VHDL-to-C timing overhead is needed to be improved by the optimized implementation of mapping mechanism.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.41 no.1
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• pp.1-12
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• 2004

In this paper, we take advantage of the characteristics of optical burst switching (OBS) to support service-differentiation in optical networks. With the offset time between control packet and burst data, the proposed scheme uses different offset time of each service class. As contrasted with the Previous method, in which the high Priority service use only long offset time, it derives the burst loss rate as a QoS parameter in consideration of conservation law and given service-differential ratios and decides a reasonable offset time for this QoS finally Firstly proposed method classifies services into one of high or low class and is an algorithm deciding the offset time for supporting the required QoS of high class. In order to consider the multi-classes environment, we expand the analysis method of first algorithm and propose the second algorithm. It divides services into one of high or low group according to their burst loss rate and decides the offset time for high group, and lastly cumulates the offset time of each class. The proposed algorithms are evaluated through simulation. The result of simulation is compared with that of analysis to verify the proposed scheme.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.40 no.4
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• pp.193-205
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• 2003

There has been so many research activities about robot soccer system in the many research fields, for example, intelligent control, communication, computer technology, sensor technology, image processing, mechatronics. Especially researchers research strategy for attacking in the field of strategy, and develop intelligent strategy. Then, soccer robots cannot defense completely and efficiently by using simple defense strategy. Therefore, intention extraction of attacker is needed for efficient defense. In this thesis, intention extractor of soccer robots is designed and developed based on FMMNN(Fuzzy Min-Max Neural networks ). First, intention for soccer robot system is defined, and intention extraction for soccer robot system is explained.. Next, FMMNN based intention extractor for soccer robot system is determined. FMMNN is one of the pattern classification method and have several advantages: on-line adaptation, short training time, soft decision. Therefore, FMMNN is suitable for soccer robot system having dynamic environment. Observer extracts attack intention of opponents by using this intention exactor, and this intention extractor is also used for analyzing strategy of opponent team. The capability of developed intention extractor is verified by simulation of 3 vs. 3 robot succor simulator. It was confirmed that the rates of intention extraction each experiment increase.

• Spatial Information Research
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• v.20 no.6
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• pp.129-137
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• 2012

For construction project in extreme cold region, it is essential to establish basic data on the site such as topographical data from the early stage of construction of planning and designing, and it is needed to frequently perform site investigation when necessary. However, extreme cold regions are characteristic of being at long distance and difficult in approaching, and special regions such as Antarctica, in particular, are hard to conduct site investigation. Although a site investigation may be conducted, those who can visit Antarctica are sufficiently limited so that most of the staff may participate in construction without knowledge of the site and increase the risk of errors in decision making or designing. In order to resolve such problems, the authors in this study identified methods of building wide-area topographical data and bedrock classification data of exposed areas via remote sensing and of building precise topographical data on the construction site. Also, the authors attempted to present methods by which such data can be managed and visualized integrally via three-dimensional GIS technology and all the participants in construction can learn sense of field and conduct necessary analysis as frequent as possible. The areas around the Jangbogo Antarctic Station were selected to be the research area for conducting effective integrational management and three-dimensional visualization of various spatial data such as wide-area digital elevation model, ortho-images, bedrock classification data, local precise digital elevation model, and site images. The results of this study may enable construction firms to analyze local environments for construction whenever they need for construction in extreme cold regions and then support construction work including decision making or designing.

• Proceedings of the Korean Society of Community Living Science Conference
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• 2009.09a
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• pp.84-84
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• 2009

농촌관광은 농촌마을을 중심으로 활성화가 되어야하며 이를 매개로 하여 농촌주민의 농외 소득증대와 더불어 농촌 삶의 질을 높일 수 있다. 최근에 이르러 농촌관광의 성패는 그 마을이 가진 잠재적 어메니티 자원뿐만 아니라 이러한 잠재자원을 활용하여 마을을 성공적으로 운영할 인적자원이 보다 중요한 요인으로 인식되고 있다. 이에 본 연구에서는 농촌관광마을의 해설 및 체험지도 인력을 대상으로 활동특성 현황을 파악하고자 마을단위로 조사하여 분석하였다. 정부가 지원한 마을 중 가장 많은 부분을 차지하는 녹색농촌체험마을(농림수산식품부), 농촌전통테마마을(농촌진흥청)은 2009년까지 총 612개소이나 이 중 인력기반이 형성되었을 것으로 판단되는 2007년까지 선정된 농촌관광마을 403개 중 100개 마을을 무작위로 선정하였다. 조사대상은 마을의 추진위원장 중심으로 리더 100명, 추진위원장 추천의 마을해설 및 체험지도 인력 명단에서 2~4명 정도, 총 300명을 자기기입식 및 직접면접 조사를 병행하여 조사 분석하였다. 해설 및 체험지도자 활용유형을 생태해설, 생활문화, 농업기술, 전통놀이/문화, 전통 음식, 전통공예, 지역설화로 분류하였으며, 지도방법은 직접시현(체험)과 간접시현(안내/해설)으로 구분하여 분석을 실시하였다. 마을에서 활동하고 있는 체험지도 인력은 평균 6.6명이었고, 마을해설에 참여하는 내부인력은 평균 3.2명, 외부인력은 0.8명이었으며, 체험지도에 참여하는 내부인력은 평균 4.2명, 외부인력은 1명으로 나타나 마을해설보다는 체험지도에 외부인력을 더 활용하는 것으로 나타났다. 이렇게 마을에서 활동하고 있는 해설 및 체험지도인력들에 대해 농촌관광마을 리더들은 부족하다는 의견이 49%로 과반수 정도를 차지하여 농촌체험지도를 위한 인력이 부족하다고 판단하는 것으로 나타났다. 마을해설이나 체험지도에 참여하는 사람들의 체험지도 형태는 주로 새로운 지식을 스스로 공부하여 해설하는 경우가 45.5%, 전문화된 개설이 가능한 비율이 19.9%, 안내만 함 19.5%, 시연만 함 15.2%로서 대부분이 지도인력들이 스스로 해설에 적극적으로 참여하고 있었다. 또한 체험거리 한두 가지를 전문적으로 지도하는 비율(41.2%)보다 여러 가지를 종합적으로 지도하는 비율이 58.8%로 높게 나타나 한 사람이 몇 가지를 동시에 담당하여 지도하는 체험지도에 대한 전문성 확보가 미흡한 것으로 보인다. 이와 같이 본 연구에서 농촌관광마을의 인적자원 활용 현황을 살펴보고, 마을 해설사의 인적자원의 잠재성을 활용 농촌마을의 발전 동력을 찾고자 함에 연구에 의의가 있다.

• Proceedings of the Korean Society of Community Living Science Conference
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• 2009.09a
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• pp.103-103
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• 2009

한국 최초의 벼 재배지이고 농경문화의 근원지인 김포시는 경기도 북서부지역에 위치하고 있다. 북쪽과 동쪽으로 한강을 사이에 두고 있고 강화만 및 한강 하구부 염하 등이 3면을 둘러싸여 있어 김포반도라 한다. 서쪽에 문수산(376m), 장릉산(150m), 수안산(147m) 등의 낮은 산들이 소구릉지를 이루고 있으며 한강에 의한 토사의 운반 퇴적으로 이루어져 농경에 적합한 김포평야를 이룬다. 이런 특징을 갖고 있는 김포지역 향토자원 조사를 위하여 고문헌, 군지, 학술지 등의 자료를 통해 총 563종의 향토자원 목록을 정리하였다. 향토자원의 유형분류를 해보면 인물 193종(34.3%), 자연생태환경 140종(24.9%), 유물유적 136종(24.2%), 민속풍속 79종(14.0%), 전통식품 특산품 15종(2.7%)의 비율로 나타났다. 이 중 활용성이 있는 것으로 판단되는 자원을 지역 전문가 협의회를 통해 1차 선발 평가하여 기본조사를 실시하였고, 향토자원의 가치, 산업화 가능성 평가를 통해 2차 심층조사 대상을 선정하였다. 김포시 향토자원 목록 총 563종 중, 179종이 기본조사 자원으로 선정되어 기본조사를 실시한 결과, 설화 전설자원이 34종(19.0%), 전통제전 자원이 19종(10.6%), 유적사적지와 건축자원이 각 18종(10.1%), 수변 및 해양자원 자원이 15종(8.4%), 조각 자원이 15종(8.4%), 마을자원이 10종(5.6%) 등으로 나타났다. 각 자원의 명칭을 보면 설화 전설은 선돌이 전설, 김삿갓의 일화, 형제투금, 애기봉전설 등이었고, 전통제전은 김포통진두레놀이, 손돌공 진혼제, 대명리 풍어제 등의 자원이, 유적사적지는 덕포진(사적 제292호), 수안산성(지방기념물 제159호), 장릉(사적 제202호) 등으로 조사되었는데, 특히 지석묘의 분포가 많았다. 기본조사 자원을 대상으로 지역전문가 2차 협의회를 통해 향토자원의 가치, 산업화 가능성 등을 평가하여 53종을 선정하였고, 유물유적 24종(45.3%), 민속풍속 12종(22.6%), 자연 생태환경 10종(18.9%), 전통식품 특산품 4종(7.5%), 인물 3종(5.7%) 비율로 나타났다. 향토자원 산업화는 생산물 품질고급화나 농산물 가공분야가 점차 감소하고 천연염색 공예, 관광, 문화상품 등으로 다각화되고 있으므로 김포시의 농촌문화와 전통지식기술자원이 지자체와 지역주민들에 의해 활성화되기를 기대한다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.4
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• pp.1591-1601
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• 2013

In this study, It is conducted for novice drivers about driving behavior and psychological characteristics analysis to reduce traffic accident risk and provide the basic data of education program development. Therefore, this study classified by the category-specific characteristics and hazard prediction through survey of the novice driver and unpredictable behavior and psychological characteristics were studied. The novice and general characteristics and driving behavior with vehicle simulators, comparison and analysis of the novice driver traffic safety education basic research direction based on the statistical results. Prediction the results of this study, the Hazard of the driver, speeding, traffic violation, information providing omission, abrupt change, the number of accidents in all areas novice driver is high compared to the general driver. In addition, Novice driver showed a statistically significant level of Hazard compared to the general driver target novice drivers and the general ability to predict Hazard of violation, abrupt change, and a number of traffic accidents were omitted level of speeding and other information providing level drivers all showed similar results. Vehicle simulator. The experimental results showed that novice drivers compared to drivers poorly overall driving performance. It showed a notable difference in the number of collisions, especially novice drivers compared to drivers in complex road traffic conditions due to a lack of driving experience and learning ability are considered.

• Journal of Internet Computing and Services
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• v.19 no.5
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• pp.33-41
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• 2018

Recently, Internet technology has developed, various programs are being created and therefore various codes are being made through many authors. On this aspect, some author deceive a program or code written by other particular author as they make it themselves and use other writers' code indiscriminately, or not indicating the exact code which has been used. Due to this makes it more and more difficult to protect the code. In this paper, we propose author identification framework using Authorship Analysis theory and Natural Language Processing(NLP) based on Convolutional Neural Network(CNN). We apply Authorship Analysis theory to extract features for author identification in the source code, and combine them with the features being used text mining to perform author identification using machine learning. In addition, applying CNN based natural language processing method to source code for code author classification. Therefore, we propose a framework for the identification of authors using the Authorship Analysis theory and the CNN. In order to identify the author, we need special features for identifying the authors only, and the NLP method based on the CNN is able to apply language with a special system such as source code and identify the author. identification accuracy based on Authorship Analysis theory is 95.1% and identification accuracy applied to CNN is 98%.

• The Journal of Society for e-Business Studies
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• v.21 no.4
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• pp.69-80
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• 2016

Cognitive and emotional product design is becoming crucial because the technology gap decreases more and more. Product design guidelines and the corresponding database are therefore needed to support sensing (e.g. sight, hearing, touch), cognition (e.g. attention, memory) and emotion (e.g. aesthetics, functionality) which users feel differently according to their genders and ages. The user property information which is extracted from various experiments can be used as critical criteria in product design and evaluation, and it is necessary to develop the integrated database of cognition and emotion where to store the user property information. In this research, we design the user property metadata for supporting cognitive and emotional product design and then develop a prototype system. The metadata is designed to reflect the classification of cognition and emotion by investigating and classifying the previous studies related to sensing, cognition and emotion. The user property information is designed in RDF (Resource Description Framework), and a prototype system is developed to store user property information of cognition and emotion based on the designed metadata.

• The Journal of Society for e-Business Studies
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• v.25 no.1
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• pp.13-33
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• 2020

This study proposes a Korean sentimental analysis algorithm that utilizes a letter-unit embedding and convolutional neural networks. Sentimental analysis is a natural language processing technique for subjective data analysis, such as a person's attitude, opinion, and propensity, as shown in the text. Recently, Korean sentimental analysis research has been steadily increased. However, it has failed to use a general-purpose sentimental dictionary and has built-up and used its own sentimental dictionary in each field. The problem with this phenomenon is that it does not conform to the characteristics of Korean. In this study, we have developed a model for analyzing emotions by producing syllable vectors based on the onset, peak, and coda, excluding morphology analysis during the emotional analysis procedure. As a result, we were able to minimize the problem of word learning and the problem of unregistered words, and the accuracy of the model was 88%. The model is less influenced by the unstructured nature of the input data and allows for polarized classification according to the context of the text. We hope that through this developed model will be easier for non-experts who wish to perform Korean sentimental analysis.