• Title/Summary/Keyword: 자동화 기술

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A Comic Facial Expression Method for Intelligent Avatar Communications in the Internet Cyberspace (인터넷 가상공간에서 지적 아바타 통신을 위한 코믹한 얼굴 표정의 생성법)

  • 이용후;김상운;청목유직
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.40 no.1
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    • pp.59-73
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    • 2003
  • As a means of overcoming the linguistic barrier between different languages in the Internet, a new sign-language communication system with CG animation techniques has been developed and proposed. In the system, the joint angles of the arms and the hands corresponding to the gesture as a non-verbal communication tool have been considered. The emotional expression, however, could as play also an important role in communicating each other. Especially, a comic expression is more efficient than real facial expression, and the movements of the cheeks and the jaws are more important AU's than those of the eyebrow, eye, mouth etc. Therefore, in this paper, we designed a 3D emotion editor using 2D model, and we extract AU's (called as PAU, here) which play a principal function in expressing emotions. We also proposed a method of generating the universal emotional expression with Avatar models which have different vertex structures. Here, we employed a method of dynamically adjusting the AU movements according to emotional intensities. The proposed system is implemented with Visual C++ and Open Inventor on windows platforms. Experimental results show a possibility that the system could be used as a non-verbal communication means to overcome the linguistic barrier.

Studies on the Artificial Cultivation of Pleurotus cystidiosus O.K.Miller, the Abalone Mushroom (전복느타리버섯(Pleurotus cystidiosus O.K.Miller)의 인공재배에 관한 연구)

  • Jang, Kab-Yeul;Jhune, Chang-Sung;Shin, Chul-Woo;Park, Jung-Sik;Oh, Se-Jong;Choi, Sun-Gyu;Sung, Jae-Mo
    • The Korean Journal of Mycology
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    • v.31 no.3
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    • pp.200-205
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    • 2003
  • The study was carried out on the artificial cultivation of the abalone mushroom, Pleurotus cystidiosus O.K.Miller. The pine sawdust substrates with 20% rise bran were good for mycelial growth and high quantity of P. cystidiosus in the bottle cultivation. Moreover, the proper volume for bottle cultivation was 850 ml and the removal of spawn and surface layer of the medium before pin-heading was more efficient. The yields of P. cystidiosus were higher in sawdust substrates added calcium carbonate than those not added calcium carbonate. The volume of 3 kg polypropylene bag is good for yield and biological efficiency in bag cultivation of P. cystidiosus. Cotton wastes were proper substrates for bag cultivation. In the effect of different cultivation temperature, $28{\pm}2^{\circ}C$ cultivation temperature was good for for primordial formation after inoculation.

Model Based Approach to Estimating Privacy Concerns for Context-Aware Services (상황인식서비스를 위한 모델 기반의 프라이버시 염려 예측)

  • Lee, Yon-Nim;Kwon, Oh-Byung
    • Journal of Intelligence and Information Systems
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    • v.15 no.2
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    • pp.97-111
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    • 2009
  • Context-aware computing, as a core of smart space development, has been widely regarded as useful in realizing individual service provision. However, most of context-aware services so fat are in its early stage to be dispatched for actual usage in the real world, caused mainly by user's privacy concerns. Moreover, since legacy context-aware services have focused on acquiring in an automatic manner the extra-personal context such as location, weather and objects near by, the services are very limited in terms of quality and variety if the service should identify intra-personal context such as attitudes and privacy concern, which are in fact very useful to select the relevant and timely services to a user. Hence, the purpose of this paper is to propose a novel methodology to infer the user's privacy concern as intra-personal context in an intelligent manner. The proposed methodology includes a variety of stimuli from outside the person and then performs model-based reasoning with social theory models from model base to predict the user's level of privacy concern semi-automatically. To show the feasibility of the proposed methodology, a survey has been performed to examine the performance of the proposed methodology.

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Evaluation of Waterway Dredging Work using Spud Dredge Process Management System (스퍼드 준설선 공정관리시스템을 이용한 항로준설작업의 평가)

  • Lee Joong-Woo;Jeong Dae-Deuk;Cho Jueng-Eon;Kim Ju-Young;Oh Dong-Hoon
    • Journal of Navigation and Port Research
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    • v.29 no.5 s.101
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    • pp.395-402
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    • 2005
  • The most important point when we engage on waterway dredging work is supplying safe navigational passage to the vessels underway by narrowing dredge work area and removing submerged dangers. In order to meet this end it is necessary to use auxiliary equipment for shifting actively and mooring and adopt automation of dredging work by integrating information on real time position, dredging depth, and work information. The dredger with a spud control system in this study, by the way, is able to employed on continuous dredging work with the narrowest working area allowing wide and safe passages to vessels underway, by moving the dredger to the working zone with the spud controlled automatically. Furthermore, it has been improved definitely compared with the existing dredging process management system such that it shows the track of spud and working depth on the electronic navigation chart of window, together with the final outcome of dredging work. The test dredging work at the entrance of Busan North Port for system evaluation showed that actual working time available was twice of the one by the existing anchor system, and that it reduced $38\%$ of time for preparation work and one man power.

Design and Implementation of Sequential Pattern Miner to Analyze Alert Data Pattern (경보데이터 패턴 분석을 위한 순차 패턴 마이너 설계 및 구현)

  • Shin, Moon-Sun;Paik, Woo-Jin
    • Journal of Internet Computing and Services
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    • v.10 no.2
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    • pp.1-13
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    • 2009
  • Intrusion detection is a process that identifies the attacks and responds to the malicious intrusion actions for the protection of the computer and the network resources. Due to the fast development of the Internet, the types of intrusions become more complex recently and need immediate and correct responses because the frequent occurrences of a new intrusion type rise rapidly. Therefore, to solve these problems of the intrusion detection systems, we propose a sequential pattern miner for analysis of the alert data in order to support intelligent and automatic detection of the intrusion. Sequential pattern mining is one of the methods to find the patterns among the extracted items that are frequent in the fixed sequences. We apply the prefixSpan algorithm to find out the alert sequences. This method can be used to predict the actions of the sequential patterns and to create the rules of the intrusions. In this paper, we propose an extended prefixSpan algorithm which is designed to consider the specific characteristics of the alert data. The extended sequential pattern miner will be used as a part of alert data analyzer of intrusion detection systems. By using the created rules from the sequential pattern miner, the HA(high-level alert analyzer) of PEP(policy enforcement point), usually called IDS, performs the prediction of the sequence behaviors and changing patterns that were not visibly checked.

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Effect of Nursery Container Structure on Seedling Growth in Automatic Facility for Raising Seedling of Rice (벼 자동화 육묘시설에서 Container 구조가 묘생육에 미치는 영향)

  • Kwon, Tae Han;Sohn, Jae Keun
    • Current Research on Agriculture and Life Sciences
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    • v.20
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    • pp.19-24
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    • 2002
  • This study was conducted to determine the optimum intervals of shelves and seed-tray layout in container for raising rice seedlings at automatic facility. The seedling characteristics were evaluated with 10-day to 20-day old seedling grown under the different intervals of nursery shelves and seed-tray arrangement in the containers. The plant height was increased as the shelf intervals in nursery containers from 17 cm to 23 cm. The difference in plant height was larger in seedlings seeded at May 10 than those at June 10 and in 20-day old seedlings as compared with 10-day old seedlings. The growth characteristics of seedlings was significantly varied with the layout intervals of nursery tray on the containers. The seedling height was shorter as the extension of layout intervals of the tray on the shelf of nursery containers, but the seedling quality was increased in the seedling which grown on the trays arranged at 3 to 5 cm intervals. The light intensity was remarkably different from the position of nursery tray in the container. The illumination intensity was the highest on the uppermost tray. However the seedling height was shorter as the raising of tray position from the lowest shelf to the highest it in nursery container. The best results based on the seedling characteristics was obtained from the seedlings which grown in the tray arranged at 3 cm interval on the ten-shelf container with 20 cm intervals.

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Anaphora Resolution System for Natural Language Requirements Document in Korean based on Syntactic Structure (한국어 자연어 요구문서에서 구문 구조 기반의 조응어 처리 시스템)

  • Park, Ki-Seon;An, Dong-Un;Lee, Yong-Seok
    • The KIPS Transactions:PartB
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    • v.17B no.3
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    • pp.255-262
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    • 2010
  • When a system is developed, requirements document is generated by requirement analysts and then translated to formal specifications by specifiers. If a formal specification can be generated automatically from a natural language requirements document, system development cost and system fault from experts' misunderstanding will be decreased. A pronoun can be classified in personal and demonstrative pronoun. In the characteristics of requirements document, the personal pronouns are almost not occurred, so we focused on the decision of antecedent for a demonstrative pronoun. For the higher accuracy in analysis of requirements document automatically, finding antecedent of demonstrative pronoun is very important for elicitation of formal requirements automatically from natural language requirements document via natural language processing. The final goal of this research is to automatically generate formal specifications from natural language requirements document. For this, this paper, based on previous research [3], proposes an anaphora resolution system to decide antecedent of pronoun using natural language processing from natural language requirements document in Korean. This paper proposes heuristic rules for the system implementation. By experiments, we got 92.45%, 69.98% as recall and precision respectively with ten requirements documents.

An Automated Flood Risk Mapping Algorithm using GIS-based Techniques considering Characteristics of Jeju streams (제주하천 특성 고려 GIS 기반 홍수범람위험도 자동화 알로리즘)

  • Kim, Dongsu;Kim, Taeeun;Son, Geunsoo;You, Hojun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.634-634
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    • 2015
  • 최근 국지성 호우와 잦은 태풍으로 인한 돌발홍수가 빈번하게 발생하여 도심지에서의 호안유실과 범람으로 많은 외수침수의 피해가 발생하고 있다. 또한 기후변화에 따른 강우량의 증가와 집중호우로 인한 홍수 피해는 지속적으로 증가할 것으로 예상됨에 따라 대하천 유역을 중심으로 홍수범람예측 연구가 활발히 진행되고 있지만 대하천을 제외한 지방 중소하천의 연구가 미비한 실정이다. 이에 본 연구에서는 지방 중소하천 중 태풍과 집중호우의 영향이 많은 제주지역의 주요 하천 중의 하나인 한천 유역을 테스트베드로 선정하여 연구를 진행하였다. 한천은 강우 시에만 유출이 발생하는 건천으로, 집중호우 시 암반하상 조건, 복개, 교각 등으로 수위가 국부적으로 급격히 상승하는 경우가 있었다. 그리고 한천 하류부에는 도심이 위치하고 있어 돌발홍수 발생 시 막대한 피해가 발생한다. 이에 따라 홍수 피해를 줄이기 위한 제도화, 정책결정 등의 구조적 해결방안과 홍수 피해의 규모와 원인을 분석하는 비구조적 해결방안에 대한 연구가 시급하다. 따라서 본 연구에서는 홍수범람 등으로 인한 홍수 피해규모를 산정하여 각 정부부처 및 유관기관, 지자체에서 빠른 정책결정을 내릴 수 있는 자료를 제공하는 목적으로 제주도의 특성을 고려한 홍수범람위험도 산정 알고리즘을 개발하고자 한다. 본 연구에서는 제주 한천유역의 단면 자료와 빈도별 홍수량 자료를 이용하여 HEC-RAS 모형으로 수리학적 흐름특성 모의를 실사하였다. 모의된 결과를 바탕으로 ArcGIS 소프트웨어인 ESRI사의 ArcMap을 이용하여 빈도별 홍수위 자료와 제주지역 수치표고모형 자료를 활용한 빈도별 홍수범람지도를 산정하고, 좌안과 우안의 제방고로부터 위험도를 산정하여 홍수범람위험도를 각각 구축하였다. 구축된 결과를 이용하여 분석하고자하는 해당 빈도의 홍수위와 홍수량이 발생할 때의 피해지역을 예측하였으며, 예측된 지역과 제주시의 공시지가 자료를 중첩하여 피해지역에 대한 피해액을 산정하였다. 본 연구의 알고리즘을 적용한 2007년 태풍 '나리' 사상의 경우와 비교한 결과, '나리' 사상의 침수 흔적도와 유사한 홍수범람지도를 획득 할 수 있었으며, 모의된 유역의 하천 복개구간을 중심으로 홍수범람이 발생한다는 점과 우안보다 좌안에서의 홍수범람위험도와 피해액이 더 크게 나타난 점 등의 홍수범람 특성을 파악할 수 있었다. 본 연구에서 제시된 기법을 이용할 경우, 홍수에 의한 취약지에 대한 제방 설계 강화, 하천의 보수 정비 등 정책적 결정에 사용될 수 있을 것이며, 실시간 자료제공, 재해정보시스템 등에 적용하여 홍수범람 피해를 줄일 수 있는 기반기술이 될 것으로 사료된다.

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A Problematic Bubble Detection Algorithm for Conformal Coated PCB Using Convolutional Neural Networks (합성곱 신경망을 이용한 컨포멀 코팅 PCB에 발생한 문제성 기포 검출 알고리즘)

  • Lee, Dong Hee;Cho, SungRyung;Jung, Kyeong-Hoon;Kang, Dong Wook
    • Journal of Broadcast Engineering
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    • v.26 no.4
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    • pp.409-418
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    • 2021
  • Conformal coating is a technology that protects PCB(Printed Circuit Board) and minimizes PCB failures. Since the defects in the coating are linked to failure of the PCB, the coating surface is examined for air bubbles to satisfy the successful conditions of the conformal coating. In this paper, we propose an algorithm for detecting problematic bubbles in high-risk groups by applying image signal processing. The algorithm consists of finding candidates for problematic bubbles and verifying candidates. Bubbles do not appear in visible light images, but can be visually distinguished from UV(Ultra Violet) light sources. In particular the center of the problematic bubble is dark in brightness and the border is high in brightness. In the paper, these brightness characteristics are called valley and mountain features, and the areas where both characteristics appear at the same time are candidates for problematic bubbles. However, it is necessary to verify candidates because there may be candidates who are not bubbles. In the candidate verification phase, we used convolutional neural network models, and ResNet performed best compared to other models. The algorithms presented in this paper showed the performance of precision 0.805, recall 0.763, and f1-score 0.767, and these results show sufficient potential for bubble test automation.

Visual Classification of Wood Knots Using k-Nearest Neighbor and Convolutional Neural Network (k-Nearest Neighbor와 Convolutional Neural Network에 의한 제재목 표면 옹이 종류의 화상 분류)

  • Kim, Hyunbin;Kim, Mingyu;Park, Yonggun;Yang, Sang-Yun;Chung, Hyunwoo;Kwon, Ohkyung;Yeo, Hwanmyeong
    • Journal of the Korean Wood Science and Technology
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    • v.47 no.2
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    • pp.229-238
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    • 2019
  • Various wood defects occur during tree growing or wood processing. Thus, to use wood practically, it is necessary to objectively assess their quality based on the usage requirement by accurately classifying their defects. However, manual visual grading and species classification may result in differences due to subjective decisions; therefore, computer-vision-based image analysis is required for the objective evaluation of wood quality and the speeding up of wood production. In this study, the SIFT+k-NN and CNN models were used to implement a model that automatically classifies knots and analyze its accuracy. Toward this end, a total of 1,172 knot images in various shapes from five domestic conifers were used for learning and validation. For the SIFT+k-NN model, SIFT technology was used to extract properties from the knot images and k-NN was used for the classification, resulting in the classification with an accuracy of up to 60.53% when k-index was 17. The CNN model comprised 8 convolution layers and 3 hidden layers, and its maximum accuracy was 88.09% after 1205 epoch, which was higher than that of the SIFT+k-NN model. Moreover, if there is a large difference in the number of images by knot types, the SIFT+k-NN tended to show a learning biased toward the knot type with a higher number of images, whereas the CNN model did not show a drastic bias regardless of the difference in the number of images. Therefore, the CNN model showed better performance in knot classification. It is determined that the wood knot classification by the CNN model will show a sufficient accuracy in its practical applicability.