This study was conducted to evaluate a visual surveillance system. The advancement of recording technology and network service make it easy to record and transfer the videos. Moreover, progressed recognition technology help to make a distinction each other. Cows show distinguishing behaviors during their estrus period. The mounting is one of the behaviors. The result was different depending on the breed of the cows and the size of the farm. In the case of Korean native cattle, the estrus detection rate was 71.15%, however, dairy cows, the estrus detection rate was 39.38%. At the farms having below 6 modules, the estrus detection rate was 87.41%. On the other hand, at the farms having over 6 modules, the estrus detection rate was 77.78%. With the proper progress, the visual surveillance system can be used to detect heat detection.

To identify the cause of the error and maintain the health of system, an administrator usually analyzes event log data since it contains useful information to infer the cause of the error. However, because today’s systems are huge and complex, it is almost impossible for administrators to manually analyze event log files to identify the cause of an error. In particular, as OpenStack, which is being widely used as cloud management system, operates with various service modules being linked to multiple servers, it is hard to access each node and analyze event log messages for each service module in the case of an error. For this, in this paper, we propose a novel message-based log analysis method that enables the administrator to find the cause of an error quickly. Specifically, the proposed method 1) consolidates event log data generated from system level and application service level, 2) clusters the consolidated data based on messages, and 3) analyzes interrelations among message groups in order to promptly identify the cause of a system error. This study has great significance in the following three aspects. First, the root cause of the error can be identified by collecting event logs of both system level and application service level and analyzing interrelations among the logs. Second, administrators do not need to classify messages for training since unsupervised learning of event log messages is applied. Third, using Dynamic Time Warping, an algorithm for measuring similarity of dynamic patterns over time increases accuracy of analysis on patterns generated from distributed system in which time synchronization is not exactly consistent.

The research on improvement of false alarm from the automatic fire detection system has been continually achieved in the meantime. But the research for the code-transmitter as one of component devices of the automatic fire detection system. In order to improve difficulty of the code-transmitter check-up, introduction for the address type-code-transmitter and the automatic recovery system for check up of the code-transmitter was proposed. In order to prevent against occurrence of noise and signal attenuation, introduction of the optical fiber cables that noise and signal attenuation do not occur and introduction for an optical communication relay that can apply to was proposed respectively.

A 2D barcode region detection method based on embedded system for augmented reality applications was developed. For the successful 2D barcode candidate region detection, the range of variance and frequency of gray level distribution in the test 2D barcodes was modeled and it was combined with the corner features to localize the final 2D barcode candidates. An automatic 2D barcode localization software was developed with the multiple features mixture method and we tested our system on real camera images of several popular 2D barcode symbologies.

PURPOSES: This study was initiated to estimate expressway traffic congestion costs by using Vehicle Detection System (VDS) data. METHODS : The overall methodology for estimating expressway traffic congestion costs is based on the methodology used in a study conducted by a study team from the Korea Transport Institute (KOTI). However, this study uses VDS data, including conzone speeds and volumes, instead of the volume delay function for estimating travel times. RESULTS : The expressway traffic congestion costs estimated in this study are generally lower than those observed in KOTI's method. The expressway lines that ranked highest for traffic congestion costs are the Seoul Ring Expressway, Gyeongbu Expressway, and the Youngdong Expressway. Those lines account for 64.54% of the entire expressway traffic congestion costs. In addition, this study estimates the daily traffic congestion costs. The traffic congestion cost on Saturdays is the highest. CONCLUSIONS : This study can be thought of as a new trial to estimate expressway traffic congestion costs by using actual traffic data collected from an entire expressway system in order to overcome the limitations of associated studies. In the future, the methodology for estimating traffic congestion cost is expected to be improved by utilizing associated big-data gathered from other ITS facilities and car navigation systems.

The goals of automatic fire detection equipment in Japan and South Korea are the detection in early fire stage, alarm and finding the location of the fire. Japan also has similar operation system and signal transmission method compared with South Korea. The standards of fire detection equipment in Japan are established their own standards. The automatic fire detection equipment in Korea has been developed with benchmarking the Japanese system in early 1950’s and follows the decree on the basis of Japan’s fire services. NFPA 72, which is automatic fire detection equipment in U.S.A. and verified through the experiment and test, expects to reflect to our automatic fire detection equipment after modification and supplement.

Vibrio 속에 속한 세균에 의한 식중독은 오염된 해산물식품의 섭취로 인하여 빈번하게 발생하고 있다. 그러므로 해산물을 날것으로 섭취하는 한국인의 특성을 고려할 때, 빠르고 정확한 Vibrio 검출기술은 식품위생 및 공중보건의 측면에서 매우 중요하다. 이와 관련하여 본 연구에서는 전통적인 배지를 이용한 동정방법의 단점을 보완할 수 있는 생화학적 방법인 Vitek 2 system방법과 분자생물학적 방법인 species-specific PCR 방법을 사용하여 얻은 동정결과를 비교·평가하고자 하였다. 본 연구에서는 5개의 Vibrio 표준균주와 16S rRNA gene sequencing 결과에 의하여 Vibrio 속으로 확인된 24개의 분리균주가 이용되었다. Vitek 2 system방법을 이용한 경우, 이와 같이 본 연구에 사용된 29개 균주 중 Vibrio 표준균주 2개(2/5, 40%), 16S rRNAgene sequencing 결과 Vibrio 속으로 확인된 분리균주 15개(15/24, 62.5%) 등의 총 17개 균주(17/29, 58.6%)가 Vibrio 종으로 동정되었다. 그리고 species-specific PCR방법을 이용한 경우, 위의 29개 균주 중 Vibrio 표준균주 5개(5/5, 100%), 16S rRNA gene sequencing 결과 Vibrio 속으로 확인된 분리균주 16개(16/24, 66.7%) 등의 총 21개 균주(21/29, 72.5%)가 Vibrio 종으로 동정되었다. Vitek 2 system방법과 species-specific PCR방법을 이용하여 동정된 결과를 비교하였을 때 표준균주 중 V. parahaemolyticus, V. mimicus등의 2개(2/5, 40%), 새우분리균주 24개 중에서 16S rRNAgene sequencing 결과 Vibrio 속으로 확인된 분리균주 7개(7/24, 29.2%) 등의 총 9개(9/29, 31%) 균주들에 대한 동정결과만이 일치하였다.

In this paper, the gait parameter detection system using an infrared rays elements was developed. This system consist of the transmission unit and receiver of an infrared LED light and the gait parameter were calculated by the non-transmission timing of infrared LED light from user’s leg movement Based on this method, we calculated the velocity of gait and gait stride of the person during the gait motion on the treadmill. To confirm the effectiveness of this system, we analyzed the real velocity of the treadmill using tachometer on treadmill compared with controlled velocity of treadmill.

이 연구는 파각란 선별기 도입을 비용 편익분석 목적으로 수행되었다. 계란 파각란 선별기를 도입할 때의 총수입과 총비용 평가액의 추정결과는 다음과 같다. 총비용의 경우 구입가격, 고정비용 및 유동비용의 합계로 나타내었고, 할인율에 따라 5%, 10%일 때 각각 232,904천원과 242,904천원으로 산정되었다. 계란 파각란 선별기 평가액은 할인율에 따라 228,543천원(할인율 5%인 경우)과 218,543천원(할인율 10%인 경우)으로 추정되었다(Table 6). 파각란 선별기 기술가치에 대한 평가는 B/C비율, 순현재가치(NPV), 내부수익율(IRR)의 값으로 판단되었고, 내부수익율 IRR의 값은 가정했던 할인율보다 훨씬 높게 나타났고, 순현재가치도 0보다 큰 값으로 나타났으며, B/C비율도 1.0 이상으로 나타나 경제적 타당성을 가지는 것으로 판단되었다(Table 7).

본 논문에서는 컬러정보와 깊이정보를 사용하여 얼굴을 검출하고 추적한 후 항해사의 졸음을 탐지하는 방법을 제안한다. 이 방법은 얼굴검출 과정과 얼굴추적 과정으로 구성된다. 얼굴검출 과정에서는 기존의 방법 중 가장 좋은 성능을 보이는 Adaboost 알고리즘을 사용하며, Adaboost로 입력되는 영상의 영역을 사람이 존재하는 영역으로만 제한하여 얼굴을 검출한다. 얼굴검출 과정에서 얼굴이 검출되면 그것을 템플릿으로 하여 얼굴추적 과정이 수행된다. 제안한 방법의 성능을 평가하기 위하여 실험영상을 이용하여 실험을 수행하였다. 실험결과 제안한 졸음탐지 방법은 기존의 방법에 비해 약 23 %의 수행시간을 보였으며, 또한 졸음탐지 방법은 추적시간과 추적 정확도에 있어서 상보적인 관계를 가지며, 특별한 경우를 제외한 모든 경우에서 약 1 %의 낮은 추적오차율을 보였다.

본 연구에서는 단거리 영역 내에서 대상물표의 정확한 위치를 파악하여 물표와의 충돌을 방지하기 위한 시스템을 개발하였다. 이를 위해 먼저 물표를 속도 모델과 가속도 모델로 표현하여 초기위치로부터의 움직임을 프로세스 잡음과 측정 잡음이 있는 상태에서 위치, 속도 및 가속도를 추정하였다. 추정기법으로는 칼만필터를 적용하였고 시뮬레이션을 통해 제안기법의 유용성을 확인하였다. 다음으로는 레이저센서를 적용하여 이동하는 물표와의 거리를 계측할 수 있는 시스템을 제작하여 물표의 이동 정보를 검출하였다. 이동 물표를 대상으로 속도 모델과 가속도 모델을 적용하여 실험을 수행하였고, 각각의 실험을 통해 불연속적인 측정데이터가 필터링을 통해 매끄럽고 연속적인 측정값으로 얻어지는 것을 확인하였다. 또한 물표 데이터의 계측과 디스플레이를 위한 UI를 구축하였으며, 물표가 일정거리 영역이내에 접근했을 경우 시각, 청각적인 경보를 울릴 수 있는 기능을 부가하였다. 본 연구결과를 통해 저가의 장비로 물표 위치의 추정 성능이 뛰어난 시스템을 구축할 수 있었다.

The latest cultivation research and development of seeding technology was improved because the demand for direct planting increased. The Programmable Logic Controller (PLC) and position sensor are utilized to control the seed detection system. In this paper, of seed types, RPM (Revolution per minute) variations and hole size are considered to determine the capacity of seeder hopper to meet the needs of customer demand. These algorithms were composed of the process of seed monitoring and the compulsion opening system. The capacity of seeding is assumed to be 1.53kg(11.6 liters) of rice seed per 1.8km. Therefore, this detection system can be used to determine the capacity according to seed types, RPM and hole size.

PURPOSES : This study attempts to design and establish the road surface condition detection system by using the image processing that is expected to help implement the low-cost and high-efficiency road information detection system by examining technology trends in the field of road surface condition information detection and related case studies. METHODS : Adapted visual information collecting method(setting a stereo camera outside of the vehicle) and visual information algorithm(transform a Wavelet Transform, using the K-means clustering) Experiments and Analysis on Real-road, just as four states(Dry, Wet, Snow, Ice). RESULTS : Test results showed that detection rate of 95% or more was found under the wet road surface, and the detection rate of 85% or more in snowy road surface. However, the low detection rate of 30% was found under the icy road surface. CONCLUSIONS : As a method to improve the detection rate of the mobile road surface condition information detection system developed in this study, more accurate phase analysis in the image processing process was needed. If periodic synchronization through automatic settings of the camera according to weather or ambient light was not made at the time of image acquisition, a significant change in the values of polarization coefficients occurs.

For an effective energy management in intelligent buildings it is necessary to gather information about position/absence of people and the level of population. In this paper the smart occupancy detection system using the active RFID is developed to satisfy such a demand based on the results of previous research. First of all the design considerations and functions of the system are introduced. In sequence the functions of the system is presented, and then the performance of the developed system is tested and verified through various field tests. The developed core technology can be also applied to other fields such as security, healthcare, smart home, etc.

The automatic fire detection system is an important facility installed with focusing on minimizing the damage from a fire. This paper presents in the followings as the methods to reduce the false alarm of the automatic fire detection system; first, to prepare for legal standard so that revised legal standard can be applied to the fire fighting property prior to revision; second, to introduce the performance based fire detection protection design in the law based fire protection design; third, to maintain the wiring of worn-out detector; forth, to introduce an evaluation system to the education for the fire warden; fifth, to extend the standard of MTBF(meantime between failure) of the detector; sixth, to extend of installing the analog type detector; seventh, to improve the structure of reset switch.

한국원자력연구원 내 지하 처분 연구시설(KURT)에서 채취한 지하수에 존재하는 나노 콜로이드 입자의 크기 및 농도를 현장에서 조사하기 위해 이동식 레이저 유도 파열 검출 장치를 개발하였다. 제작한 장치는 CCD 카메라를 이용하여 레이저 유도 플라즈마가 발생한 위치를 2-차원 영상으로 기록함으로써 광학적으로 입자의 크기를 결정할 수 있다. 크기가 정확히 알려진 폴리스틸렌 표준 입자를 이용하여 입자 크기 측정용 검정 곡선(calibration curve)을 구했고, 이를 이용하여 지하 처분 연구시설에서 채취한 지하수내 콜로이드 입자의 크기를 측정하였다. 지하수 내 존재하는 콜로이드 입자의 평균 크기는 108±26 nm임을 보였고, 농도는 50 ppb 이하인 것으로 추정하였다.