• Journal of Chest Surgery
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• v.22 no.4
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• pp.698-704
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• 1989

We experienced the seven cases of penetrating and non-penetrating cardiac injuries combined with cardiac tamponade from June 1986 to June 1989 at Seoul and Chun-An Hospital of SOONCHUNHYANG medical college. The results were as follows. l. In sex distribution, 7 cases were male. In age distribution, The fourth decades occupied about 58 % of all cases. 2. In mode of injury, 4 cases were stab wounds, 1 case penetration by metallic fragment, 2 cases blunt chest trauma. 3. We routinely checked the CVP with subclavian vein catheterization in case of suspicious cardiac tamponade. Significant increments were showed in 4 cases. 4. Becks triad [low blood pressure, raised central venous pressure, distant heart sound] were recorded in 43 % of the cases with proven tamponades. 5. The sites of injury included RV in 4 cases, LV in 1 case, RA in 1 case and branch of RCA in 1 case. The RV injuries were the most common. 6. Coronary artery damage occurred in 2 cases. LADA was severed in 1 case combined with RV rupture and branch of RCA was torn 1 case. 7. Pericardiocentesis was performed 1 case at another hospital before referring to our hospital. We have never used the procedure because we think that it is potentially dangerous with no clear benefit. 8. Subxyphoid pericardial window was performed in 2 cases of severe cardiac tamponade. We have employed this method to stabilize the patients who had systolic hypotension. 9. Surgical approaches were performed with median sternotomy in 3 cases, thoracotomy in 4 cases. 10. We undertook the simple closure in 6 penetrating cardiac wounds. The removal of impacted metallic fragment was performed under the cardiopulmonary bypass. Simple ligation was performed in 2 cases of coronary artery severance 11. One patient with no sign of life was urgently intubated and undertaken an emergency room thoracotomy on the stretch car without antiseptic preparation. The cardiorrhaphy in 6 cases were performed in the operating theater 12. One patient undertaken emergency room thoracotomy did not survive due to refractory hypovolemic shock. But the remaining 6 patients recovered.

• International Journal of Automotive Technology
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• v.8 no.3
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• pp.259-268
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• 2007

A knock detection circuit that is based on the signal of an accelerometer installed on the engine block of a spark ignition automotive engine has a band-pass filter with a certain frequency as a parameter to be calibrated. A new statistical method for the determination of the frequency which is the most suitable for the knock detection in real-time applications is proposed. The method uses both the cylinder pressure and block vibration signals and is divided into two steps. In both steps, a new recursive trigonometric interpolation method that calculates the frequency contents of the signals is applied. The new trigonometric interpolation method developed in this paper improves the performance of the Discrete Fourier Transformation, allowing a flexible choice of the size of the moving window. In the first step, the frequency contents of the cylinder pressure signal are calculated. The knock is detected in the cylinder of the engine cycle for which at least one value of the maximal amplitudes calculated via the trigonometric interpolation method exceeds a threshold value indicating a considerable amount of oscillations in the pressure signal; this cycle is selected as a knocking cycle. In the second step, the frequency analysis is performed on the block vibration signal for the cycles selected in the previous step. The knock detectability, which is an individual cylinder attribute at a certain frequency, is verified via a statistical hypothesis test for testing the equality of two mean values, i.e. mean values of the amplitudes for knocking and non-knocking cycles. Signal-to-noise ratio is associated in this paper with the value of t-statistic. The frequency with the largest signal-to-noise ratio (the value of t-statistic) is chosen for implementation in the engine knock detection circuit.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.5
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• pp.73-79
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• 2014

In this paper, we proposed the mechanism which can measure traffic flow and vehicle speed on the highway as well as road by using the video and image processing to detect and track cars in a video sequence. The proposed mechanism uses the first few frames of the video stream to estimate the background image. The visual tracking system is a simple algorithm based on the sum of absolute frame difference. It subtracts the background from each video frame to produce foreground images. By thresholding and performing morphological closing on each foreground image, the proposed mechanism produces binary feature images, which are shown in the threshold window. By measuring the distance between the "first white line" mark and the "second white line"mark proceeding, it is possible to find the car's position. Average velocity is defined as the change in position of an object divided by the time over which the change takes place. The results of proposed mechanism agree well with the measured data, and view the results in real time.

• Journal of the Korean Institute of Landscape Architecture
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• v.35 no.4
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• pp.57-70
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• 2007

As a basic element of Jeju landscape, Oreum offers a beautiful and aesthetic view. Considering topographical and geological research achievements, however, an effort to discover implicit value in terms of landscape characteristics and value has been ignored. This paper has investigated the characteristics and value of landscape by Oreum focusing on Jeju landscape characteristics and eco-touristic value and discussed a scheme to maximize the values. Under a theme of 'Sustainable Development' of the RIO Declaration, tour industry has recently changed its focus from eco-tourism to gee-tourism. Fortunately, Jeju Oreum has very distinctive and unique landscape with depressed crater at a crest. Nevertheless, it's very difficult to see a true aspect of Oreum from the street or over the car window. Therefore, it's urgent to begin a research on how to make advantage of and preserve Oreum landscape in order to maximize its landscape values and improve its potential as a tourist attraction. Through diverse programs such as sky leisure sports(ex: light airplane and helicopter riding, paragliding), sky watching, and mountain hiking, in particular, a possibility that Oreum can succeed as LBD(Learning by Doing)-based tour program with volcanic features needs to be examined. Besides, it's also a good idea to develop Oreum tour program or Oreum Museum as an alternative plan. Above all, however, it's most urgent to protect the existing Oreum and restore ecological and landscape beauty of Oreum through proper land use.

• Journal of the Korean Institute of Telematics and Electronics T
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• v.35T no.1
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• pp.67-74
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• 1998

The primary cause of air pollution by vehicles is imperfect combustion of fuel. One of the most usual causes of this imperfect combustion is the misfire in IC engins. The U.S. EPA(Environment Protection Agency) and the CARB(California air Resources Board) have imposed regulations for the detection of misfiring in automotive engines. The OBD-II regulations require that misfire should be monitored by the engine diagnostic system, and that the goal of OBD-II is to alert the driver to the presence of a malfunction of the emission control system. Several solutions to the misfire detection problem have been proposed for the detection of misfires. However, the performance of these methods in the presence of misfire is not altogether clear. This paper presents a precise method and system for internal combustion engine misfire. Present invention based upon measurements of engine roughness as derived from crankshaft angular velocity measurements with special signal processing method. Crankshaft angular velocity signals are processed by WDPT, so that the more reliable misfire detection than the time domain analysis. Experimental work confirms that it is possible to apply the WDFT for the detection of misfires in no-load idle and road testing.

• Journal of IKEEE
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• v.24 no.1
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• pp.200-207
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• 2020

In this paper, an area-efficient feature extractor was proposed for security surveillance radar systems and FPGA-based implementation results were presented. In order to reduce the memory requirements, features extracted from Doppler profile for FFT window-size are used, while those extracted from total spectrogram for frame-size are excluded. The proposed feature extractor was design using Verilog-HDL and implemented with Xilinx Zynq-7000 FPGA device. Implementation results show that the proposed design can reduce the logic slice and memory requirements by 58.3% and 98.3%, respectively, compared with the existing research. In addition, security surveillance radar system with the proposed feature extractor was implemented and experiments to classify car, bicycle, human and kickboard were performed. It is confirmed from these experiments that the accuracy of classification is 93.4%.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.4
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• pp.1989-2011
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• 2019

Vehicle detection based on aerial images is an interesting and challenging research topic. Most of the traditional vehicle detection methods are based on the sliding window search algorithm, but these methods are not sufficient for the extraction of object features, and accompanied with heavy computational costs. Recent studies have shown that convolutional neural network algorithm has made a significant progress in computer vision, especially Faster R-CNN. However, this algorithm mainly detects objects in natural scenes, it is not suitable for detecting small object in aerial view. In this paper, an accurate and effective vehicle detection algorithm based on Faster R-CNN is proposed. Our method fuse a hyperactive feature map network with Eltwise model and Concat model, which is more conducive to the extraction of small object features. Moreover, setting suitable anchor boxes based on the size of the object is used in our model, which also effectively improves the performance of the detection. We evaluate the detection performance of our method on the Munich dataset and our collected dataset, with improvements in accuracy and effectivity compared with other methods. Our model achieves 82.2% in recall rate and 90.2% accuracy rate on Munich dataset, which has increased by 2.5 and 1.3 percentage points respectively over the state-of-the-art methods.

• Journal of the Korean institute of surface engineering
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• v.56 no.6
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• pp.451-456
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• 2023

Transparent conducting films having a three layered structure of ZnO/Cu/ZnO (ZCZ) were deposited onto the glass substrates by using RF and DC magnetron sputtering at room temperature. The emissivity and opto-electrical properties of the films were investigated with a varying thickness(5, 10, 15 nm) of the Cu interlayer. With increasing the Cu thickness to 15 nm, the films showed a enhanced electrical properties. Although ZnO 30/Cu 15/ZnO 30 nm film shows a lower resistivity of 5.2×10^-5 Ωcm, it's visible transmittance is deteriorated by increased optical absorbtion of the films. In addition, X-ray diffraction patterns indicated that the insertion of Cu interlayer improve the grain size of ZnO films, which is favor for the electrical and optical properties of transparent conducting films. From the observed low emissivity of the films, it is concluded that the ZCZ thin films with optimal thickness of Cu interlayer can be applied effectively for the car's window coating materials.

• Design & Manufacturing
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• v.14 no.1
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• pp.8-14
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• 2020

In general, auto parts production assembly line is assembled and produced by automatic mounting by an automated robot. In such a production site, quality problems such as misalignment of parts (doors, trunks, roofs, etc.) to be assembled with the vehicle body or collision between assembly robots and components are often caused. In order to solve such a problem, the quality of parts is manually inspected by using mechanical jig devices outside the automated production line. Automotive inspection technology is the most commonly used field of vision, which includes surface inspection such as mounting hole spacing and defect detection, body panel dents and bends. It is used for guiding, providing location information to the robot controller to adjust the robot's path to improve process productivity and manufacturing flexibility. The most difficult weighing and measuring technology is to calibrate the surface analysis and position and characteristics between parts by storing images of the part to be measured that enters the camera's field of view mounted on the side or top of the part. The problem of the machine vision device applied to the automobile production line is that the lighting conditions inside the factory are severely changed due to various weather changes such as morning-evening, rainy days and sunny days through the exterior window of the assembly production plant. In addition, since the material of the vehicle body parts is a steel sheet, the reflection of light is very severe, which causes a problem in that the quality of the captured image is greatly changed even with a small light change. In this study, the distance between the car body and the door part and the door are acquired by the measuring device combining the laser slit light source and the LED pattern light source. The result is transferred to the joint robot for assembling parts at the optimum position between parts, and the assembly is done at the optimal position by changing the angle and step.

• Child Health Nursing Research
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• v.8 no.4
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• pp.435-448
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• 2002

Accidents are important causes of death and disability in children. They also have enormous financial implications. Young children become an victim of accidents easily because of their physical fragileness and their coping behavior being vulnerable to any actions taken by accidents. Once they have a accident, the children whose not fully developed, suffer from devastating long-term after-effects. Lee, Lee, Kang and Han(1995) reported that ninety percent of accidents can be prevented. But there is no national system to manage, evaluate and analyse the information about child accidents, even though it is necessary for accident prevention policies and health promotion of the general public. The purpose of the study was to determine how often children have accidents and define the accident prevention strategies in children. The investigator conducted a descriptive study by performing the surveys, interviews, and workshops for the 2,458 young children, 10 teachers, and 1,494 parents. The data collection for the study began on September 2000 and completed on April 20, 2001. The analysis of the data was done with Window SPSS 10.0 for descriptive statistics. Among those children, 1,298 children(52.8％) injured from accidents. The children who had accident answered that they injured from traffic accident(27.3％), inside the home(26.3％), on the playground(17.0％), during playtime(13.6％), in the school(5.9％) and food poisoning(7.1％). To define accident prevention strategies for the school children, the parents and the teachers who had a special interest in this topic formed a special task force under the guidance of the investigator. The team was charged to prepare the basis of content materials by identifying the problems, setting standards for the program, prioritizing the process, and selecting the methods of implementation and evaluation. Eight issues and concerns identified by the team were: 1)allowing young children to learn undesirable habits and behaviors that would bother others without knowing; 2) not guarding young children from car accident; 3)unattended accident at playground; 4) considering home places safe; 5)unattended accident at school. These issues were found to be coinciding with the actual child accident cases occurred recent years in Korea. Greater efforts are required to reduce unnecessary deaths and disability from childhood accidents. This study gave a very useful and important data to prepare accident prevention educational program and to prepare accident prevention strategies.