• 제목/요약/키워드: Closure model

검색결과 481건 처리시간 0.022초

웹 구축 보조 시스템에 대한 GUI 객체 감지 및 대규모 언어 모델 활용 연구 (A Study on the Web Building Assistant System Using GUI Object Detection and Large Language Model)

  • 장현철;장형국
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2024년도 춘계학술발표대회
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    • pp.830-833
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    • 2024
  • As Large Language Models (LLM) like OpenAI's ChatGPT[1] continue to grow in popularity, new applications and services are expected to emerge. This paper introduces an experimental study on a smart web-builder application assistance system that combines Computer Vision with GUI object recognition and the ChatGPT (LLM). First of all, the research strategy employed computer vision technology in conjunction with Microsoft's "ChatGPT for Robotics: Design Principles and Model Abilities"[2] design strategy. Additionally, this research explores the capabilities of Large Language Model like ChatGPT in various application design tasks, specifically in assisting with web-builder tasks. The study examines the ability of ChatGPT to synthesize code through both directed prompts and free-form conversation strategies. The researchers also explored ChatGPT's ability to perform various tasks within the builder domain, including functions and closure loop inferences, basic logical and mathematical reasoning. Overall, this research proposes an efficient way to perform various application system tasks by combining natural language commands with computer vision technology and LLM (ChatGPT). This approach allows for user interaction through natural language commands while building applications.

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Damage identification for high-speed railway truss arch bridge using fuzzy clustering analysis

  • Cao, Bao-Ya;Ding, You-Liang;Zhao, Han-Wei;Song, Yong-Sheng
    • Structural Monitoring and Maintenance
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    • 제3권4호
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    • pp.315-333
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    • 2016
  • This study aims to perform damage identification for Da-Sheng-Guan (DSG) high-speed railway truss arch bridge using fuzzy clustering analysis. Firstly, structural health monitoring (SHM) system is established for the DSG Bridge. Long-term field monitoring strain data in 8 different cases caused by high-speed trains are taken as classification reference for other unknown cases. And finite element model (FEM) of DSG Bridge is established to simulate damage cases of the bridge. Then, effectiveness of one fuzzy clustering analysis method named transitive closure method and FEM results are verified using the monitoring strain data. Three standardization methods at the first step of fuzzy clustering transitive closure method are compared: extreme difference method, maximum method and non-standard method. At last, the fuzzy clustering method is taken to identify damage with different degrees and different locations. The results show that: non-standard method is the best for the data with the same dimension at the first step of fuzzy clustering analysis. Clustering result is the best when 8 carriage and 16 carriage train in the same line are in a category. For DSG Bridge, the damage is identified when the strain mode change caused by damage is more significant than it caused by different carriages. The corresponding critical damage degree called damage threshold varies with damage location and reduces with the increase of damage locations.

백서 두개골 결손부에서 동결건조골과 gel/putty 형 탈회골기질의 골재생효과 (The effect of the freeze dried bone allograft and gel/putty type demineralized bone matrix on osseous regeneration in the rat calvarial defects)

  • 김득한;홍지연;방은경
    • Journal of Periodontal and Implant Science
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    • 제39권3호
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    • pp.349-358
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    • 2009
  • Purpose: This study was aimed to evaluate the effect of the Freeze Dried Bone Allograft and Demineralized Bone Matrix on osseous regeneration in the rat calvarial defects. Methods: Eight mm critical-sized calvarial defects were created in the 80 male Sprague-Dawley rats. The animals were divided into 4 groups of 20 animals each. The defects were treated with Freeze Dried Bone Allograft($SureOss^{TM}$), Demineralized Bone Matrix($ExFuse^{TM}$ Gel, $ExFuse^{TM}$ Putty), or were left untreated for sham-surgery control and were evaluated by histologic and histomorphometric parameters following a 2 and 8 week healing intervals. Statistical analysis was done between each groups and time intervals with ANOVA and paired t-test. Results: Defect closure, New bone area, Augmented area in the $SureOss^{TM}$, $ExFuse^{TM}$ Gel, $ExFuse^{TM}$ Putty groups were significantly greater than in the sham-surgery control group at each healing interval(P < 0.05). In the New bone area and Defect closure, there were no significant difference between experimental groups. Augmented area in the $ExFuse^{TM}$ Gel, $ExFuse^{TM}$ Putty groups were significantly greater than $SureOss^{TM}$ group at 2weeks(P < 0.05), however there was no significant difference at 8 weeks. Conclusions: All of $SureOss^{TM}$, $ExFuse^{TM}$ Gel, $ExFuse^{TM}$ Putty groups showed significant new bone formation and augmentation in the calvarial defect model.

RHadoop 플랫폼기반 CAWFP-Tree를 이용한 적응 빈발 패턴 알고리즘 (Adaptive Frequent Pattern Algorithm using CAWFP-Tree based on RHadoop Platform)

  • 박인규
    • 디지털융복합연구
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    • 제15권6호
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    • pp.229-236
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    • 2017
  • 효율적인 빈발 패턴 알고리즘은 연관 규칙 마이닝이나 융복합을 위한 마이닝 과정에서 필수적인 요소이며 많은 활용성을 가지고 있다. 패턴 마이닝을 위한 많은 모델들이 빈발 패턴에 관한 정보를 추출하여 FP-트리를 이용하여 저장하고 있다. 본 논문에서는 항목들의 무게중심을 이용한 새로운 빈발 패턴 알고리즘(CAWFP-Growth)을 제안하여 항목들이 가지는 가중치와 빈도수를 같이 고려하여 항목간의 중심을 계산하여 기존의 FP-Growth 알고리즘의 효율성을 향상시킨다. 제안한 방법은 하향 폐쇄의 성질을 유지하기 위한 기존의 전역적 최대치 가중치 지지도를 필요로 하지 않기 때문에 자연히 빈발 패턴의 탐색시간이 줄어들고 정보의 손실을 줄일 수 있다. 실험결과를 통하여 제안된 알고리즘이 기존의 동적가중치를 이용하는 다른 방법과 비교해볼 때, 항목들의 무게중심이 빈발패턴의 정확한 정보를 유지하고 FP-트리의 처리시간을 줄여주기 때문에 제안한 방법의 중요성을 보이고 있다 또한 가상 분산모드에서 맵리듀스 프레임을 기반으로 빅데이터를 모델링하고 향후 완전분산 모드에서 제안한 알고리즘의 모델링이 필요하다.

어업관리 옵서버 제도의 효과에 대한 생물경제학적 분석 (Bioeconomic Analysis of Effectiveness of the Observe Program in Fisheries Management)

  • 이상고;김도훈
    • 수산경영론집
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    • 제33권1호
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    • pp.1-18
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    • 2002
  • The observer program is being utilized In various fishing areas and fisheries internationally and nationally due to the its expected effectiveness in fisheries management and the collection of bioeconomic data necessary in fisheries management policy. The timely gathered data by observers play substantially a major role in decision-making fisheries policy such as the change in management measures, the application of season closure and area closure and etc. The expected effectiveness of the observer program In fisheries management, generally mentioned, is that it would lead to the increase in stock size from which the level of harvest would consequently increases. This study is aimed to analyze this tentatively expected effectiveness of the observer program in fisheries management. The changes in stock size and the level of harvest over time are analyzed under the observer program assuming the fishermen bear the cost of the observer program by investigating the change in fisherman's fishing activity under the observer program and by combining this changed activity with the biological model. The level of fishing efforts of fishermen was decreased from the results of the increase in fishing cost caused by the observer cost and the decrease in catchable stock size restricted by observers. This reduced level of fishing efforts enables stock size to increase over time and therefore, the expected level of harvest increases as time goes on. Another benefit under the observer program is to reduce management costs from the fact that fishermen are responsible for the cost of the observer program and the avoidance cost of fisherman responding to the fisheries regulation could be eliminated from the surveillance of observer. Therefore, it may possible to accomplish the cost-efficient fisheries management policy.

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머신러닝 기반 외식업 프랜차이즈 가맹점 성패 예측 (Prediction of Food Franchise Success and Failure Based on Machine Learning)

  • 안예린;유성민;이현희;박민서
    • 문화기술의 융합
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    • 제8권4호
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    • pp.347-353
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    • 2022
  • 외식업은 소비자의 수요가 많고 진입장벽이 낮아 창업이 활발하게 일어난다. 하지만 외식업은 폐업률이 높고, 프랜차이즈의 경우 동일 브랜드 내에서도 매출 편차가 크게 나타난다. 따라서 외식업 프랜차이즈의 폐업을 방지하기 위한 연구가 필요하다. 이를 위해, 본 연구에서는 프랜차이즈 가맹점 매출에 영향을 미치는 요인들을 살펴보고, 도출된 요인들에 머신러닝 기법을 활용하여 프랜차이즈의 성패를 예측하고자 한다. 강남구 프랜차이즈 매장의 PoS(Point of Sale) 데이터와 공공데이터를 활용하여 가맹점 매출에 영향을 미치는 여러 요인들을 추출하고, VIF(Variance Inflation Factor)를 활용하여 다중공산성을 제거하여 타당성 있는 변수 선택을 진행한 뒤, 머신러닝 기법 중 분류모델을 활용하여 프랜차이즈 매장의 성패 예측을 진행한다. 이를 통해 최고 정확도 0.92를 가진 프랜차이즈 성패 예측 모델을 제안한다.

하악골 전돌증 수술 후 하악골 이동량에 따른 발음 양상에 관한 비교 연구 (COMPARISON OF SPEECH PATTERNS ACCORDING TO THE DEGREE OF SURGICAL SETBACK IN MANDIBULAR PROGNATHIC PATIENTS)

  • 신기영;이동근;오승환;성헌모;이숙향
    • Maxillofacial Plastic and Reconstructive Surgery
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    • 제23권1호
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    • pp.48-58
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    • 2001
  • After performing mandibular setback surgery, we found some changes in patterns and organs of speech. This investigation was undertaken to investigate the aspect and degree of speech patterns according to the amount of surgical setback in mandibular prognathic patients. Thirteen patients with skeletal Class III malocclusion were studied preoperative and postoperative over 6 months. They had undergone the mandible setback operation via bilateral sagittal split ramus osteotomy(BSSRO). We split the patients into two groups. Group 1 included patients whose degree of mandibular setback was 6mm or less, and Group 2 above 6mm. Control group was two adults wish normal speech patterns. A phonetician performed narrow phonetic transcriptions of tape-recorded words and sentences produced by each of the patients and the acoustic characteristics of the plosives, fricatives, and flaps were analyzed with a phonetic computer program (Computerized Speech Lab(CSL) Model 4300B(USA)). The results are as follows: 1. Generally, Patients showed longer closure duration of plosives, shorter VOT(voice onset time) and higher ratio of closure duration against VOT. 2. Patients showed more frequent diffuse distribution than the control group in frication noise energy of fricatives. 3. In fricatives, frequency of compact from were higher in group 1 than in group 2. 4. Generally, a short duration of closure for /ㄹ/ was not realized in the patient's flaps. Instead, it was realized as fricatives, sonorant with a vowel-like formant structure, or trill type consonant. 5. Abnormality of the patient's articulation was reduced, but adaptation of their articulation after surgery was not perfect and the degree of adaptation was different according to the degree of surgical setback.

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지자체 공무원 특성에 따른 폐업지원제도 인식 차이 연구 (A Study on the Perception Difference of the Farm-Closure Assistance Program by Local Government Officials' Characteristics)

  • 이현근;채상현;최미라
    • 한국산학기술학회논문지
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    • 제21권10호
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    • pp.406-414
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    • 2020
  • 폐업지원제도는 경쟁력이 낮은 한계농가의 소득보전 및 경영안정과 해당 품목의 전반적인 경쟁력을 제고하기 위해 운용되고 있다. 이러한 폐업지원제도는 풍선효과와 부정수급 등 여러 가지 문제를 가지고 있다. 본 연구의 목적은 폐업지원제도의 실제 업무를 최일선에서 담당하는 지자체 담당 공무원의 시각을 반영하여 폐업지원제도에서 나타나는 전반적인 문제점과 개선 방향을 분석하는 것이다. 특히, 공무원 특성별로 폐업지원제도 상한액 설정과 연장 여부에 관해 차이가 있는지, 이러한 차이에는 공무원의 어떤 특성이 영향을 미치는지를 분석하였다. 폐업지원제 상한액 설정 필요성에 영향을 미치는 요인은 농업부문 업무경력, 농축산업의 중요성에 관한 인식, FTA가 우리나라 농축산업에 미친 영향에 관한 인식, 성별과 지역 변수인 것으로 나타났다. 한편, 폐업지원제 연장 여부에 영향을 미치는 요인은 소속기관 단위, FTA 직접피해보전제도에 관한 업무 지식 수준, FTA 피해보전직불제 및 폐업지원제도의 효과에 관한 인식, 농축산업보조금 지원 방향에 관한 인식인 것으로 나타났다. 이러한 분석 결과는 정부가 폐업지원제도를 개선하고자 할 때, 제도개선 방향을 설정할 수 있는 기초자료로 활용될 수 있을 것이다.

한국어 파열음 인식을 위한 피쳐 셉 입력 인공 신경망 모델에 관한 연구 (A STUDY ON THE IMPLEMENTATION OF ARTIFICIAL NEURAL NET MODELS WITH FEATURE SET INPUT FOR RECOGNITION OF KOREAN PLOSIVE CONSONANTS)

  • 김기석;김인범;황희융
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1990년도 하계학술대회 논문집
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    • pp.535-538
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    • 1990
  • The main problem in speech recognition is the enormous variability in acoustic signals due to complex but predictable contextual effects. Especially in plosive consonants it is very difficult to find invariant cue due to various contextual effects, but humans use these contextual effects as helpful information in plosive consonant recognition. In this paper we experimented on three artificial neural net models for the recognition of plosive consonants. Neural Net Model I used "Multi-layer Perceptron ". Model II used a variation of the "Self-organizing Feature Map Model". And Model III used "Interactive and Competitive Model" to experiment contextual effects. The recognition experiment was performed on 9 Korean plosive consonants. We used VCV speech chains for the experiment on contextual effects. The speech chain consists of Korean plosive consonants /g, d, b, K, T, P, k, t, p/ (/ㄱ, ㄷ, ㅂ, ㄲ, ㄸ, ㅃ, ㅋ, ㅌ, ㅍ/) and eight Korean monothongs. The inputs to Neural Net Models were several temporal cues - duration of the silence, transition and vot -, and the extent of the VC formant transitions to the presence of voicing energy during closure, burst intensity, presence of asperation, amount of low frequency energy present at voicing onset, and CV formant transition extent from the acoustic signals. Model I showed about 55 - 67 %, Model II showed about 60%, and Model III showed about 67% recognition rate.

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Controlled Partial Skin Thickness Burns: Rabbit Ear as a 2nd Degree Burn Wound Model for Studies of Topical Therapy

  • Cho, Lee Ae-Ri;Moon, Hee-Kyung
    • Journal of Pharmaceutical Investigation
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    • 제36권5호
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    • pp.339-342
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    • 2006
  • This study was designed to prepare an animal model for partial thickness bum wound which can be employed for testing topical therapy. We first evaluated whether rabbit ear and mouse back skin wound model could differentiate the wound healing process in terms of degree of re epithelialization, required days for complete wound closure, presence of scarring. $2^{nd}$ degree wet bum were prepared on mouse back skin and rabbit ear by applying 5 mL hot water($85{\pm}0.1^{\circ}C$) for 7 see followed by 5 mL ice-cold 0.5% acrynol solution for cooling and disinfecting the inflicted area. After removing the dead epidermis layer at 24 hr, tested dressings were applied for specified time and wound progression was investigated. In mouse model, wound contraction was the primary wound closing mechanism, which is quite different from human wound healing process. In rabbit ear model, epidermal regeneration was the major wound healing process rather than wound contraction and the difference in wound healing property among tested dressings could be clearly demonstrated. A rabbit ear model could differentiate the wound progression among open, occluded and epidermal growth factor(EGF) treated wound. Four sites of circular wound(diameter: 1 cm) on the anterior part of rabbit ear could be employed for the comparative wound healing study. For obtaining reproducible bum wound, degree of bum depth and bum sites should be carefully controlled in addition, employing rabbits of same strain and weight. The result suggests that rabbit ear could be employed as a reliable and human-resembled wound model.