• Korean Journal of Radiology
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• 제25권8호
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• pp.698-705
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• 2024

Ductal carcinoma in situ (DCIS) accounts for approximately 30% of new breast cancer diagnoses. However, our understanding of how normal breast tissue evolves into DCIS and invasive cancers remains insufficient. Further, conclusions regarding the mechanisms of disease progression in terms of histopathology, genetics, and radiology are often conflicting and have implications for treatment planning. Moreover, the increase in DCIS diagnoses since the adoption of organized breast cancer screening programs has raised concerns about overdiagnosis and subsequent overtreatment. Active monitoring, a nonsurgical management strategy for DCIS, avoids surgery in favor of close imaging follow-up to de-escalate therapy and provides more treatment options. However, the two major challenges in active monitoring are identifying occult invasive cancer and patients at risk of invasive cancer progression. Subsequently, four prospective active monitoring trials are ongoing to determine the feasibility of active monitoring and refine the patient eligibility criteria and follow-up intervals. Radiologists play a major role in determining eligibility for active monitoring and reviewing surveillance images for disease progression. Trial results published over the next few years would support a new era of multidisciplinary DCIS care.

• 센서학회지
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• 제20권3호
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• pp.162-167
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• 2011

In this paper, we propose a vision system using a field programmable gate array(FPGA) and a smart vision chip. The output of the vision chip is varied by illumination conditions. This chip is suitable as a surveillance system in a dynamic environment. However, because the output swing of a smart vision chip is too small to definitely confirm the warning signal with the FPGA, a modification was needed for a reliable signal. The proposed system is based on a transmission control protocol/internet protocol(TCP/IP) that enables monitoring from a remote place. The warning signal indicates that some objects are too near.

• Journal of Ubiquitous Convergence Technology
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• 제1권1호
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• pp.3-8
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• 2007

This paper presents a set of techniques used in a real-time visual surveillance system. The system is implemented on a low-cost embedded DSP platform that is designed to work with stationary video sources. It consists of detection, a tracking and a classification module. The detector uses a statistical method to establish the background model and extract the foreground pixels. These pixels are grouped into blobs which are classified into single person, people in a group and other objects by the dynamic periodicity analysis. The tracking module uses mean shift algorithm to locate the target position. The system aims to control the human density in the surveilled scene and detect what happens abnormally. The major advantage of this system is the real-time capability and it only requires a video stream without other additional sensors. We evaluate the system in the real application, for example monitoring the subway entrance and the building hall, and the results prove the system's superior performance.

• 제어로봇시스템학회논문지
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• 제15권5호
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• pp.505-510
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• 2009

In recent years the space where a robot works has been expanding to the human space unlike traditional industrial robots that work only at fixed positions apart from humans. A human in the recent situation may be the owner of a robot or the target in a robotic application. This paper deals with the latter case; when a robot vision system is employed to monitor humans for a surveillance application, each person in a scene needs to be identified. Humans, however, often move together, and occlusions between them occur frequently. Although this problem has not been seriously tackled in relevant literature, it brings difficulty into later image analysis steps such as tracking and scene understanding. In this paper, a probabilistic neural network is employed to learn the patterns of the best dividing position along the top pixels of an image region of partly occlude people. As this method uses only shape information from an image, it is simple and can be implemented in real time.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 추계학술대회
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• pp.561-564
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• 2009

본 논문은 디지털 미디어 프로세서 기반의 U-city 적외선 영상 감시 시스템의 설계 및 구현에 대하여 기술한다. 영상 감시 시스템의 하드웨어는 디지털 미디어 프로세서와 비디오 인코더, 비디오 디코더 상용 칩을 기반으로 설계하고 구현하였으며, 영상 감시 소프트웨어는 적외선 영상의 온도분포를 분석하고 화재와 같은 재난상황을 감시하는 알고리즘을 구현하였다. 구현된 시제품의 시험 평가 결과, 제시된 요구 기능과 성능을 만족하였으며 구현 시스템의 실용성을 확인하였다.

• 전기학회논문지
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• 제68권2호
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• pp.304-309
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• 2019

This paper presents a CMOS RF-to-DC converter for video surveillance disposable IoT applications. It widely harvests RF energy of 3G/4G cellular low-band frequency range by employing a tunable impedance matching network. The proposed converter consists of the differential-drive cross-coupled rectifier and the matching network with a 4-bit capacitor array. The proposed converter is designed using 130-nm standard CMOS process. The designed energy harvester can rectify the RF signals from 700 MHz to 900 MHz. It has a peak RF-to-DC conversion efficiency of 72.25%, 64.97%, and 66.28% at 700 MHz, 800 MHz, and 900 MHz with a load resistance of 10kΩ, respectively.

• Journal of information and communication convergence engineering
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• 제20권3호
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• pp.226-233
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• 2022

Video surveillance is widely used in security surveillance, military navigation, intelligent transportation, etc. Its main research fields are pattern recognition, computer vision and artificial intelligence. This article uses OpenCV to detect and track vehicles, and monitors by establishing an adaptive model on a stationary background. Compared with traditional vehicle detection, it not only has the advantages of low price, convenient installation and maintenance, and wide monitoring range, but also can be used on the road. The intelligent analysis and processing of the scene image using CAMSHIFT tracking algorithm can collect all kinds of traffic flow parameters (including the number of vehicles in a period of time) and the specific position of vehicles at the same time, so as to solve the vehicle offset. It is reliable in operation and has high practical value.

• 대한공간정보학회지
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• 제18권3호
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• pp.83-90
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• 2010

현대사회는 도시환경의 급격하고 복잡한 변화의 결과로 각종 범죄가 빈번히 발생하고 있어 국민의 생명과 재산보호에 대한 요구가 증가하고 있다. 이를 위해 도시지역의 치안 담당자들은 경찰 인력의 부족과 과중한 업무 속에서도 효율적인 범죄예방과 감시활동을 위해 경찰의 역할과 기능을 확대하고 있다. 최근에는 24시간 동안 일정한 지역을 집중적으로 모니터링 할 수 있는 CCTV 등의 인위적인 감시도구를 통해 효과적으로 범죄를 감시하고 예방하기 위한 시스템을 도입하고 있으나 감시도구 설치를 위한 체계적인 기준의 미비와 사생활 침해라는 문제가 발생되고 있다. 따라서 이 연구에서는 CCTV 등의 인위적 감시도구와 범죄 발생지점의 공간적 특성, GIS의 공간분석 기법 등을 이용하여 범죄 모니터링이 가능한 인위적 감시지역을 선정하였으며, 그 결과 CCTV 설치대수가 절대적으로 부족하며, 기존에 설치된 위치도 공간적 분포를 충분히 고려하지 못한 것으로 나타났다.

• 한국항행학회논문지
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• 제21권2호
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• pp.179-186
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• 2017

본 논문은 항공용 다변측정 감시시스템의 감시영역으로 진입하는 항공기에 대해 능동적 공역확보를 위한 질문시나리오 구성이 가능한 질문기에 대한 것이다. 항공용 다변측정 감시시스템에서 질문기는 감시공역 내의 항공기를 향해 적절한 감시 시나리오로 질문을 수행하는데 사용하는 중요한 장치이다. 일정 반경 내에서 비행하는 항공기에 대해 질문하는 기존의 2차 감시레이다 (SSR; secondary surveillance radar)의 질문 방식과 달리, 항공용 다변측정 감시시스템은 감시범위에 진입하는 항공기에 대해 원거리에서 부터 근거리까지 순차적으로 또는 운용 시나리오에 따라 능동적으로 질문이 가능한 질문 시스템이 필요하다. 본 논문을 통해 구현된 질문기는 위스퍼-샤웃 제어 알고리즘을 적용하여 실제 운용거리에 따라 출력전력을 가변하여 방사함으로써 감시공역 별 항공기에 대한 질문 및 감시에 능동적으로 활용이 가능하다.

• Tuberculosis and Respiratory Diseases
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• 제83권3호
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• pp.218-227
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• 2020

Background: The national Public-Private Mix (PPM) tuberculosis (TB) control project provides for the comprehensive management of TB patients at private hospitals in South Korea. Surveillance and monitoring of TB under the PPM project are essential toward achieving TB elimination goals. Methods: TB is a nationally notifiable disease in South Korea and is monitored using the surveillance system. The Korea Centers for Disease Control and Prevention quarterly generates monitoring indicators for TB management, used to evaluate activities of the PPM hospitals by the central steering committee of the national PPM TB control project. Based on the notification date, TB patients at PPM hospitals were enrolled in each quarter, forming a cohort, and followed up for at least 12 months to identify treatment outcomes. This report analyzed the dataset of cohorts the first quarter of 2016 through the fourth quarter of 2017. Results: The coverage of sputum, smear, and culture tests among the pulmonary TB cases were 92.8% and 91.5%, respectively. The percentage of positive sputum smear and culture test results were 30.7% and 61.5%, respectively. The coverage of drug susceptibility tests among the culture-confirmed cases was 92.8%. The treatment success rate among the smear-positive drug-susceptible cases was 83.2%. The coverage of latent TB infection treatment among the childhood TB contacts was significantly higher than that among the adult contacts (85.6% vs. 56.0%, p=0.001). Conclusion: This is the first official report to analyze monitoring indicators, describing the current status of the national PPM TB control project. To sustain its effect, strengthening the monitoring and evaluation systems is essential.