• 한국컴퓨터정보학회논문지
• /
• 제21권9호
• /
• pp.37-43
• /
• 2016

This paper introduces a method for video shot group detection needed for efficient management and summary of video. The proposed method detects shots based on low-level visual properties and performs temporal and spatial clustering based on visual similarity of neighboring shots. Shot groups created from temporal clustering are further clustered into small groups with respect to visual similarity. A set of representative shot frames are selected from each cluster of the smaller groups representing a scene. Shots excluded from temporal clustering are also clustered into groups from which representative shot frames are selected. A number of video clips are collected and applied to the method for accuracy of shot group detection. We achieved 91% of accuracy of the method for shot group detection. The number of representative shot frames is reduced to 1/3 of the total shot frames. The experiment also shows the inverse relationship between accuracy and compression rate.

• Journal of Microbiology and Biotechnology
• /
• 제28권3호
• /
• pp.465-472
• /
• 2018

Our aim was to determine the detection rate of respiratory viruses (RVs) in feces of patients with acute viral respiratory infection (AVRI) and the detection rate of diarrheal viruses (DVs) in nasopharyngeal samples from patients with acute viral gastroenteritis. The relationships between the presence of fecal RVs or nasopharyngeal DVs and their impacts on the clinical severity were also investigated. A total of 144 fecal specimens were collected from AVRI patients and 95 nasopharyngeal specimens were collected from acute viral gastroenteritis patients. Clinical characteristics and laboratory profiles were compared between subgroups on the basis of the presence or absence of virus in the specimens. The detection rate of RVs in feces was 17.4% (25/144), whereas the detection rate for viruses identical to the respiratory pathogen was 10.4% (identical group, 15/144). Within the identical group, adenovirus (86.7%, 13/15) was most commonly found. Patients in the identical group showed statistically higher values for C-reactive protein, mean age, increased frequency of vomiting, and decreased frequency of chest film involvement and cough (p < 0.05). The detection rate of nasopharyngeal DVs among acute viral gastroenteritis patients was 19.0% (18/95), and in the identical group it was 15.8% (15/95). Norovirus group II and enteric adenovirus were the major pathogens detected in the identical group. There were no significant differences in clinical characteristics and laboratory profiles between the subgroups. In conclusion, the major pathogens of fecal RV and nasopharyngeal DV were adenovirus and norovirus group II, respectively. However, their relationship with the clinical symptoms or disease severity is unclear.

• 한국지반공학회:학술대회논문집
• /
• 한국지반공학회 2009년도 춘계 학술발표회
• /
• pp.798-804
• /
• 2009

Damaged liners may be detected by using leakage detection systems. For the reason, many types of leakage detection systems are applied to analyze or detect damages of lining system such as electrical detection method for the landfill sites. However, most of them can be applied in the new landfill construction sites because sensors should be installed in the bottom of liner systems. This paper shows a case study reviewing the development of a fence type leakage detection method, monitoring system and pilot plant test results, so that they can be economically and efficiently applied to actual used or in-use sites without a leakage detection system.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제12권8호
• /
• pp.3769-3789
• /
• 2018

Social pedestrian groups are the basic elements that constitute a crowd; therefore, detection of such groups is scientifically important for modeling social behavior, as well as practically useful for crowd video understanding. A social group refers to a cluster of members who tend to keep similar motion state for a sustained period of time. One of the main challenges of social group detection arises from the complex dynamic variations of crowd patterns. Therefore, most works model dynamic groups to analysis the crowd behavior, ignoring the existence of stationary groups in crowd scene. However, in this paper, we propose a novel unified framework for detecting social pedestrian groups in crowd videos, including dynamic and stationary pedestrian groups, based on spatiotemporal-oriented energy measurements. Dynamic pedestrian groups are hierarchically clustered based on energy flow similarities and trajectory motion correlations between the atomic groups extracted from principal spatiotemporal-oriented energies. Furthermore, the probability distribution of static spatiotemporal-oriented energies is modeled to detect stationary pedestrian groups. Extensive experiments on challenging datasets demonstrate that our method can achieve superior results for social pedestrian group detection and crowd video classification.

• International Journal of Automotive Technology
• /
• 제3권2호
• /
• pp.53-56
• /
• 2002

A new generation of the BMW child seat and occupant detection system SBE2 far a smart airbag system is described. The SBE2 system consists of two subsystems: OC (Occupant Classification) and FDS (Field Detection System). The OC system is a force sensitive sensor array that measures a pressure profile. The FDS system detects child seat and occupant according to the change of electrical field generated by four capacitive plates. Combining the signals from both subsystems, the BMW SBE2 system can distinguish fully automatically between a child seat and a person.

• 한국정보통신학회:학술대회논문집
• /
• 한국해양정보통신학회 2010년도 추계학술대회
• /
• pp.567-570
• /
• 2010

본 논문에서는 바둑 프로그램에서 사석을 제거하기 위해 그룹핑에 기반하여 사석을 검출하는 알고리즘을 제안하고자 한다. 그룹은 같은 색의 돌이 상하좌우로 연결되는 경우에 같은 그룹으로 그룹핑 되도록 정의한다. 사석제거 알고리즘은 이와 같은 그룹을 기반으로 하여 사석을 제거하는 방법으로서 같은 그룹의 모든 돌이 같은 색의 돌과 상관없이 상하좌우가 막혀 있는 Case에 만족 할 경우에 해당되는 그룹을 검출하여 사석으로 처리한다.

• Journal of Communications and Networks
• /
• 제5권1호
• /
• pp.33-42
• /
• 2003

In this paper a two-stage maximum-likelihood (ML) detection structure for group detection in DS/CDMA systems is presented. The first stage of the receiver is a linear filter, aimed at suppressing the effect of the unwanted (i.e., out-of-grout) users' signals, while the second stage is a non-linear block, implementing a ML detection rule on the set of desired users signals. As to the linear stage, we consider both the decorrelating and the minimum mean square error approaches. Interestingly, the proposed detection structure turns out to be a generalization of Varanasi's group detector, to which it reduces when the system is synchronous, the signatures are linerly independent and the first stage of the receiver is a decorrelator. The issue of blind adaptive receiver implementation is also considered, and implementations of the proposed receiver based on the LMS algorithm, the RLS algorithm and subspace-tracking algorithms are presented. These adaptive receivers do not rely on any knowledge on the out-of group users' signals, and are thus particularly suited for rejection of out-of-cell interference in the base station. Simulation results confirm that the proposed structure achieves very satisfactory performance in comparison with previously derived receivers, as well as that the proposed blind adaptive algorithms achieve satisfactory performance.

• 한국콘텐츠학회논문지
• /
• 제19권9호
• /
• pp.637-645
• /
• 2019

RFID 그룹증명은 다수의 태그가 동시에 스캔 되었음을 증명하는 요킹증명의 확장이다. 기존의 그룹증명 기법들은 태그응답의 손실을 검증단계에서 감지하는 지연된 태그손실 감지를 지원한다. 그러나 지연된 태그손실 감지는 태그의 손실을 즉각적으로 감지해야 하는 실시간 응용에는 적합하지 못하다. 이 연구에서 나는 태그의 손실을 빠르게 감지하는 새로운 태그응답손실 감지기법인 TRLD(Tag Response Loss Detection)를 제안한다. 제안기법에서 태그는 응답과 함께 시퀀스번호를 전송하며, 리더는 시퀀스번호를 통해 태그를 식별하는 과정 없이 태그응답의 손실을 감지한다. 안전성 분석에서는 메시지 비구별성 실험을 통해, 시퀀스번호가 특정태그와 태그그룹을 구분하려고 시도하는 메시지 분석 공격에 대해 안전하다는 것을 보인다. 효율성 측면에서 제안기법은 어떤 태그의 응답이 손실되었는지 확정하기 위해 기존의 기법보다 더 적은 수의 통신과 데이터베이스 연산을 요구한다.

• International Journal of Aeronautical and Space Sciences
• /
• 제9권2호
• /
• pp.114-120
• /
• 2008

In the vision-based recovery phase, a terminal guidance for the blended-wing UAV requires visual information of high accuracy. This paper presents the light source target design and detection algorithm for vision-based UAV recovery. We propose a recovery target design with red and green LEDs. This frame provides the relative position between the target and the UAV. The target detection algorithm includes HSV-based segmentation, morphology, and blob processing. These techniques are employed to give efficient detection results in day and night net recovery operations. The performance of the proposed target design and detection algorithm are evaluated through ground-based experiments.

• Journal of Acupuncture Research
• /
• 제29권1호
• /
• pp.1-8
• /
• 2012

Objectives : We investigate the characteristics of foot reflex zone acupoint of facial paralysis patients. Methods : In order to make a comparison between facial nerve paralysis patient group and non-facial paralysis group, we measured foot reflex zone acupoint detection in both group of 18 patients who were diagnosticated to facial nerve paralysis and 18 persons who were not. Results : 1. In comparing the means of the foot reflex zone, the measurements of facial nerve paralysis group is different significantly from non-facial paralysis group(p<0.05). 2. The measurement of detection of foot reflex zone acupoints, such as hypophysis(垂體), nose(鼻), cerebrum(大腦), neck(頸項), Trapezius muscle(僧帽筋), eye(眼) and ear(耳) of the facial nerve paralysis group is different significantly in comparison with non-facial paralysis group(p<0.05). But the measurement of detection of foot reflex zone acupoints, such as trigeminal nerve(三叉神經), cerebellum (小腦), kidney(腎), ureter(輸尿管) and urinary bladder(膀胱) of the facial nerve paralysis group is not defferent significantly in comparison with non-facial paralysis group(p>0.05). Conclusions : The results suggest that foot reflex zone can be used in the diagnosis and treatment of facial nerve paralysis.