• 제목/요약/키워드: Activity Area Detection

검색결과 73건 처리시간 0.025초

이상 판매활동을 탐지하기 위한 데이터 기반 활동 모니터링 기법 (A Data-Driven Activity Monitoring Method for Abnormal Sales Behavior Detection)

  • 박성호;김성범
    • 대한산업공학회지
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    • 제40권5호
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    • pp.492-500
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    • 2014
  • Activity monitoring has been widely recognized as important and critical tools in system monitoring for detection of abnormal behavior. In this research, we propose a data-driven activity monitoring method to measure relative sales performance which is not sensitive to special event which frequently occur in marketing area. Moreover, the proposed method can automatically updates the monitoring threshold that accommodates a drastically changing business environment. The results from simulation and practical case study from sales of electronic devices demonstrate the usefulness and applicability of the proposed activity monitoring method.

위치기반 영역 설정 방법 및 이탈 검출의 최적화 기법 (Location-based Area Setup Method and Optimization Technique for Deviation Detection)

  • 최재현;임양원;임한규
    • 한국콘텐츠학회논문지
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    • 제14권4호
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    • pp.19-28
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    • 2014
  • 최근 IT산업의 발전은 우리의 삶을 보다 윤택하게 만들어주고 있다. 특히, 스마트폰의 GPS를 이용하여 개인의 위치를 검출하는 다양한 연구가 진행되고 있으며, 긴급구조기관 등에서 적극 활용하려 하고 있다. 하지만 기존 이러한 방식은 임의의 반경 영역을 생성하여 사용자가 해당 영역이 설정된 공간에 진입하거나 이탈하였을 경우 미리 지정된 사용자의 보호자나 관제기관으로 사용자의 위치정보를 전송하는 방법이 시행되고 있지만 특정 길, 놀이동산과 산행 등 정형화되지 않은 공간 및 경로에 대해서는 기존의 반경 영역을 생성하는 방식을 사용할 경우 세부적인 영역 설정이 어려웠다. 본 논문에서는 스마트 기기나 웹에서도 세부적인 영역을 쉽게 설정하기 위해 기존 서비스에서 이용하는 반경 방식을 개선하여 반경과 반경 사이를 연결하여 영역을 설정하는 방법을 제안하였다. 또한 제안하는 위치 기반 영역 설정 방법 및 이탈 검출을 활용하여 사용자의 위치를 검출하는 연산 과정에서 연산 결과를 비교하여 자원 사용을 최적화할 수 있는 방법을 제안한다.

인공 치아우식 발생 모델에서 디지털 방사선 공제술을 이용한 인접면 치아우식증의 진단 (Proximal caries detection using digital subtraction radiography in the artificial caries activity model)

  • 박정훈;최용석;황의환;이기자;최삼진;박영호;김경숙;진현석;홍경원;오범석;박헌국
    • Imaging Science in Dentistry
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    • 제39권1호
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    • pp.35-39
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    • 2009
  • Purpose: The purpose of the experiment was to evaluating the diagnostic ability of dental caries detection using digital subtraction in the artificial caries activity model. Materials and Methods: Digital radiographies of five teeth with 8 proximal surfaces were obtained by CCD sensor (Kodak RVG 6100 using a size #2). The digital radiographic images and subtraction images from artificial proximal caries were examined and interpreted. In this study, we proposed novel caries detection method which could diagnose the dental proximal caries from single digital radiographic image. Results: In artificial caries activity model, the range of lesional depth was $572-1,374{\mu}m$ and the range of lesional area was $36.95-138.52mm^2$. The lesional depth and the area were significantly increased with demineralization time (p<0.001). Furthermore, the proximal caries detection using digital subtraction radiography showed high detection rate compared to the proximal caries examination using simple digital radiograph. Conclusion: The results demonstrated that the digital subtraction radiography from single radiographic image of artificial caries was highly efficient in the detection of dental caries compared to the data from simple digital radiograph.

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Formulation of a rational dosage regimen of ceftiofur hydrochloride oily suspension by pharmacokinetic-pharmacodynamic (PK-PD) model for treatment of swine Streptococcus suis infection

  • Luo, Wanhe;Wang, Dehai;Qin, Hua;Chen, Dongmei;Pan, Yuanhu;Qu, Wei;Huang, Lingli;Xie, Shuyu
    • Journal of Veterinary Science
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    • 제22권6호
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    • pp.41.1-41.14
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    • 2021
  • Background: Our previously prepared ceftiofur (CEF) hydrochloride oily suspension shows potential wide applications for controlling swine Streptococcus suis infections, while the irrational dose has not been formulated. Objectives: The rational dose regimens of CEF oily suspension against S. suis were systematically studied using a pharmacokinetic-pharmacodynamic model method. Methods: The healthy and infected pigs were intramuscularly administered CEF hydrochloride oily suspension at a single dose of 5 mg/kg, and then the plasma and pulmonary epithelial lining fluid (PELF) were collected at different times. The minimum inhibitory concentration (MIC), minimal bactericidal concentration, mutant prevention concentration (MPC), post-antibiotic effect (PAE), and time-killing curves were determined. Subsequently, the area under the curve by the MIC (AUC0-24h/MIC) values of desfuroylceftiofur (DFC) in the PELF was obtained by integrating in vivo pharmacokinetic data of the infected pigs and ex vivo pharmacodynamic data using the sigmoid Emax (Hill) equation. The dose was calculated based on the AUC0-24h/MIC values for bacteriostatic action, bactericidal action, and bacterial elimination. Results: The peak concentration, the area under the concentration-time curve, and the time to peak for PELF's DFC were 24.76 ± 0.92 ㎍/mL, 811.99 ± 54.70 ㎍·h/mL, and 8.00 h in healthy pigs, and 33.04 ± 0.99 ㎍/mL, 735.85 ± 26.20 ㎍·h/mL, and 8.00 h in infected pigs, respectively. The MIC of PELF's DFC against S. suis strain was 0.25 ㎍/mL. There was strong concentration-dependent activity as determined by MPC, PAE, and the time-killing curves. The AUC0-24h/MIC values of PELF's DFC for bacteriostatic activity, bactericidal activity, and virtual eradication of bacteria were 6.54 h, 9.69 h, and 11.49 h, respectively. Thus, a dosage regimen of 1.94 mg/kg every 72 h could be sufficient to reach bactericidal activity. Conclusions: A rational dosage regimen was recommended, and it could assist in increasing the treatment effectiveness of CEF hydrochloride oily suspension against S. Suis infections.

실외에서 로봇의 인간 탐지 및 행위 학습을 위한 멀티모달센서 시스템 및 데이터베이스 구축 (Multi-modal Sensor System and Database for Human Detection and Activity Learning of Robot in Outdoor)

  • 엄태영;박정우;이종득;배기덕;최영호
    • 한국멀티미디어학회논문지
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    • 제21권12호
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    • pp.1459-1466
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    • 2018
  • Robots which detect human and recognize action are important factors for human interaction, and many researches have been conducted. Recently, deep learning technology has developed and learning based robot's technology is a major research area. These studies require a database to learn and evaluate for intelligent human perception. In this paper, we propose a multi-modal sensor-based image database condition considering the security task by analyzing the image database to detect the person in the outdoor environment and to recognize the behavior during the running of the robot.

광범위한 지역 감시시스템에서의 행동기반 키프레임 검출 및 비디오 요약 (Activity-based key-frame detection and video summarization in a wide-area surveillance system)

  • 권혜영;이경미
    • 인터넷정보학회논문지
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    • 제9권3호
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    • pp.169-178
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    • 2008
  • 본 논문에서는 광범위한 지역을 감시하기 위해 설치된 여러 대의 카메라로부터 획득된 비디오에 대해 행동을 기반으로 한 비디오 요약 시스템을 제안한다. 제안된 시스템은 시야가 겹쳐지지 않은 다수의 CCTV 카메라를 통해서 촬영한 비디오들을 30분 단위로 나누어 비디오 데이터베이스를 구축하여 시간별, 카메라별 비디오 검색이 가능하다. 또한 30분 단위로 나눈 비디오에서 키프레임을 추출하여 카메라별, 행동별로 비디오를 요약할 수 있도록 하였다. 행동 검출과 관련된 11가지(in, out, stay, left, right, forward, backward, left_forward, left_backward, right_forward, right_backward)에 대한 요약된 정보를 가지고 현재 사람의 행동이 어떤 영역에서 어떤 방향으로 움직이고 있는 지에 대한 정보를 행동별 비디오 요약을 통해 보여줌으로써 더 자세히 행동 추적된 결과를 볼 수 있다. 또한 카메라 3대에 대한 전체적인 키프레임에 대한 행동별 통계를 통해서 감시지역의 행동기반 이벤트들을 한 눈에 간단히 확인해 볼 수 있다.

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탁주료중의 당화작용과 Amylase Activity 의 변화에 대하여 (On the changes of amylase activity and saccharifying ability in Takjoo mashes during the process of brewing)

  • 홍순우;하영칠;윤권상
    • 미생물학회지
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    • 제6권4호
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    • pp.141-146
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    • 1968
  • Takjoo mashes which were collected from the Takjoo breweries in Seoul area were studied on the purpose of detection for the reciprocal actions between amylase activity and saccharifying ability. The results obtained are as follows. Amylase activity was found to be usually high in the primary brewing process as well as the main brewing process. And especially, .alpha.-amylase in the primary brewing process showed remarkably high activity, more than 5.0 D.P. per/ml of mash comparing with 3.8 D.P. per ml of mash in the main brewing process. However, it was revealed that the reducing sugar contents in the primary brewing process were much higher in its average contents, 5.5%, than 1.1% in the main brewing process.

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시간축 서브밴드 해석을 이용한 적응적 움직임 추정에 관한 연구 (An adaptive motion estimation based on the temporal subband analysis)

  • 임중곤;정재호
    • 한국통신학회논문지
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    • 제21권6호
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    • pp.1361-1369
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    • 1996
  • Motion estimation is one of the key components for high quality video coding. In this paper, a new motion estimation scheme for MPEG-like video coder is suggested. The proposed temporally adaptive motion estimation scheme consists of five functional blocks: Temporal subband analysis (TSBA), extraction of temporal information, scene change detection (SCD), picture type replacement (PTR), and temporally adapted block matching algorithm (TABMA). Here all the functional components are based on the temporal subband analysis. In this papre, we applied the analysis part of subband decompostion to the temporal axis of moving picture sequence, newly defined the temporal activity distribution (TAD) and average TAD, and proposed the temporally adapted block matching algorithm, the scene change detection algorithm and picture type replacement algorithm which employed the results of the temporal subband analysis. A new block matching algorithm TABMA is capable of controlling the block matching area. According to the temporal activity distribution of objects, it allocates the search areas nonuniformly. The proposed SCD and PTR can prevent unavailable motion prediction for abrupt scene changes. Computer simulation results show that the proposed motion estimation scheme improve the quality of reconstructed sequence and reduces the number of block matching trials to 40% of the numbers of trials in conventional methods. The TSBA based scene change detection algorithm can detect the abruptly changed scenes in the intentionally combined sequence of this experiment without additional computations.

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산화구리 나노입자가 분산된 CNT fiber 유연 전극 기반의 글루코스 검출용 비효소적 전기화학센서 (Electrochemical Sensor for Non-Enzymatic Glucose Detection Based on Flexible CNT Fiber Electrode Dispersed with CuO Nanoparticles)

  • 송민정
    • Korean Chemical Engineering Research
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    • 제61권1호
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    • pp.52-57
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    • 2023
  • 본 연구는 고성능 유연 전극 소재 개발을 위한 기초 연구로, 유연 전극 소재의 성능을 향상시키기 위해 금속 산화물 CuO nanoparticles (CuO NPs)를 도입하여 탄소나노튜브 섬유(carbon nanotube fiber; CNT fiber) 표면 위에 전기화학적 증착시켜 CNT fiber/CuO NPs 전극을 합성하고, 이를 전기화학적 비효소 글루코스 센서에 적용하였다. 이 전극의 표면 및 elemental composition 분석은 주사전자 현미경(SEM)과 에너지분산형 분광분석법(EDS)을 이용하였으며, 전극의 전기화학적 특성 및 글루코스에 대한 센싱 성능은 순환전압 전류법(CV)과 전기화학 임피던스법(EIS), 시간대전류법(CA)을 통해 조사되었다. CNT fiber/CuO NPs 전극은 CNT fiber의 우수한 특성과 함께 CuO NPs 도입에 따른 약 2.6배의 유효 전극면적(active surface area) 증가 효과와 11배 정도의 향상된 전자전달(electron transfer) 특성 및 우수한 전기적 촉매 활성(electrocatalytic activity) 덕분에 CNT fiber 유연 기반 전극의 글루코스 검출에 대한 성능이 개선되었다. 따라서, 본 연구를 기반으로 다양한 나노구조체를 활용한 고성능 유연 전극 소재 개발이 기대된다.

Osteoporosis: New Biomedical Engineering Aspects

  • Singh, Kanika;Lee, Sung-Hak;Kim, Kyung-Chun
    • Journal of Mechanical Science and Technology
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    • 제20권12호
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    • pp.2265-2283
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    • 2006
  • There is tremendous interest of research which surrounds the concept of 'osteoporosis,' as shown by the intense and growing research activity in the field. The urgency to advance knowledge in this area is motivated by the need to understand not only the causes, diagnosis and treatment but also need for early identification or detection of this silent disease. Despite the various researches work is going on, important issues remain unresolved. In this paper, Osteoporosis has also been discussed with respect to biological, engineering, biochemical and physical aspects. The diagnostic and therapeutic techniques have been described for osteoporosis, for better health care. The novelty of the review paper lies in clarifying several myths, explaining the disease in details with biomedical engineering aspects and focuses on the several detection techniques, providing a new direction for early diagnosis of this deadly disease and gives new directions for the POCT device for Osteoporosis.