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      • 객체와 배경 히스토그램을 활용한 개선된 보행자 검출

        정진식(Jin-sik Jung),오정수(Jeong-su Oh) 한국정보통신학회 2021 한국정보통신학회 종합학술대회 논문집 Vol.25 No.2

        본 논문은 객체와 배경 히스토그램을 활용한 개선된 보행자 검출 방식을 제안하고 있다. HOG & SVM 알고리즘을 통해 검출한 객체는 사각형 형태로 검출된다. 사각형 영역 안에는 배경과 객체의 영역이 혼합되어있다. 배경을 제외한 객체의 영역만을 검출한다면 객체 관련 다양한 정보를 쉽게 얻을 수 있다. 검출된 사각형의 크기를 객체의 크기에 맞게 x-y축 투영 알고리즘을 사용하여 재조정한다. 그리고 나서 재조정 된 사각형 내의 객체에 대한 히스토그램을 바탕으로 배경과 객체를 구분하여 개선된 객체를 검출한다. 검출한 객체와 원본의 객체를 비교하는 신뢰성 평가인 정밀도와 재현율의 평균값이 각각 97.9%와 90%를 보이고 있다. This paper proposes an improved pedestrian detection method using object and background histograms. Objects detected through the HOG & SVM algorithm are detected in a square shape. Inside the square area, the background and the object area are mixed. If only the area of the object excluding the background is detected, various object-related information may be easily obtained. The size of the detected rectangle is readjusted using an xy-axis projection algorithm to fit the size of the object. And then, the improved object is detected by dividing the background and the object based on the histogram of the object in the readjusted square. The average values of precision and recall, which are reliability evaluations comparing the detected object with the original object, are 97.9% and 90%,respectively.

      • 열환경 분석을 통한 하계 최적 공조방식 선정 계획

        김동철(Dong-Cheol Kim),정진식(Jin-Sik Jung),박주양(Ju-Yang Park) 대한설비공학회 2013 대한설비공학회 학술발표대회논문집 Vol.2013 No.6

        Daegu-gyenogbuk institute of science and technology within the parts of academic information language atrium summer existing CAV system and improvement AHU+ceiling FCU to thermal environment simulation were performed. Had know that the inside temperature rises as the rise in part existing analysis results and 6th floor temperature is higher by upper layers high temperature phenomenon also the window around zone parameters of temperature more than 30℃ higher. So make"s unpleasant thermal environments. On the other hand, the result of applying the improvement FCU influence applied on the inside atrium the indoor thermal environment was pleasant under 26℃ this was verified through simulation.

      • KCI등재

        흉강경을 이용한 경흉부 교감 신경 절제술

        이수정,권굉보,서보양,노성균,정진식 대한혈관외과학회 1992 Vascular Specialist International Vol.8 No.1

        Thoracocervical sympathectomy has been the choice of surgicl treatment for upper extremity Raynauds disease. This operation may be done by an anterior supraclavicular approach, by a posterior extrapleural approach or by an upper transthroacic approach. The transthoracic transpleural approach provides wider exposure than either of the other two. However this approach requires a long thoracotomy incision. The authors successfully visualized and removed cervicothoracic sympathetic ganglia transpleurally via a thoracoscopy without using conventional thoracotomy incision in two patient. The two patients were 35 years old male and 57 years old male who had a long history of digital ischemia of the left hand. Doppler study and a brachial arteriogram demonstrated a normal pressure and an intact arterial trees down to palmar arch. Digital photoplethysmography(PPG) demonstrated 40 mmHg and 60 mmHg of blood pressure on first and second pharangial arteries on the left hand. Under general anesthesia with a double lumen endotracheal tube, the patient was placed on the right lateral decubitus position. Four 0.5∼1cm skin incisions were made on the left chest wall at 6th interspace midclavicular line, 3rd and 6th interspace at midclavicular line, and 6th interspace at anterior axillry line. Two 10 mm trochars and two 5 mm trochars were inserted into left pleural cavity through the inflation. The sympathetic ganglia and chains were clearly visualized beneath the pleura. The pleura was incised. Thoracic sympathetic ganglia of 2nd-4th and lower half of stellate ganglia were completely removed. Postoperatively the ischemic symptom has been completely disappeared, and PPG revealed digital blood pressure 100 mmHg, The operation was simple, easy and complete, because the operation field was wide and clear.

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