• 한국분무공학회지
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• 제23권4호
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• pp.234-243
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• 2018

Since September 2017, a small diesel vehicle certification test mode has been enhanced from NEDC to WLTC. The main reason for the change of the certification test mode is that the certification test mode of the emission control standard of the diesel vehicle does not sufficiently reflect various driving patterns of the actual roads. Several automakers have developed after-treatment systems such as LNT, SCR, and DPF to meet enhanced emissions regulations. In this study, four small diesel cars were selected for sale in Korea, and the exhaust gas measurement test was performed in the WLTC mode, which reflects the driving characteristics of the actual roads. As a result of test, LNT vehicle exceeded Euro 6 NOx regulation and SCR vehicle satisfied Euro 6 NOx regulation. In addition, both LNT and SCR systems showed high NOX emission characteristics due to speed, RPA and Vxa. For the PN, all test vehicles were fitted with a DPF and met the Euro 6 PN regulations, with similar PN emissions results in LNT and SCR system.

• Journal of Biosystems Engineering
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• 제37권2호
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• pp.113-121
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• 2012

Purpose: Particle separation in solution is one of important process in a unit operation as well as in an extract preparation for biosensors. Contrary to centrifuge-type of mesh-type filter, using an ultrasonic standing wave make the filtering process continuous and free from maintenance. It is needed to investigate the characteristics of particle movement in the ultrasonic standing wave field. Methods: Through the computer simulation the effects of major design and driving parameters on the alignment characteristics of particles were investigated, and a cylindrical chamber with up-stream flow type was devised using two circular-shape PZTs on both sides of the chamber, one for transmitting ultrasonic wave and the other for just reflecting it. Then, the system performance was experimentally investigated as well. Results: The speed of a particle to reach pressure-node plane increased as the acoustic pressure and size of particle increased. The maximum allowable up-stream flow rate could be calculated as well. As expected, exact numbers of pressure-node planes were well formed at specific locations according to the wavelength of ultrasonic wave. As the driving frequency of PZT got close to its resonance frequency, the bands of particles were observed clearer, which meant the particles were trapped into narrower space. Higher excitation voltages to the PZT produced a greater acoustic force with which to trap particles in the pressure-node planes, so that the particles gathered could move upwards without disturbing their alignments even at a higher inlet flow rate. Conclusions: This research showed the feasibility of particle separation in solution in the continuous way by an ultrasonic standing wave. Further study is needed to develop a device to collect or harvest those separated particles.

• Korean Chemical Engineering Research
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• 제56권5호
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• pp.752-760
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• 2018

경유자동차에서 배출되는 탄소 입자상 물질 연소 온도구간을 낮추는 것은 미세먼지 배출 저감과 내연기관 자동차의 고연비 저배출 성능 구현이라는 측면에서 매우 중요한 기술적 과제 중 하나이다. 본 논문에서는 탄소 입자상 물질의 산화를 위해 오존을 산화제로 이용하고 백금계 산화촉매를 동시에 적용했을 때 관찰되는 $150^{\circ}C$ 부근 저온영역에서의 탄소 입자상 물질 연소반응에 관하여 논했다. 백금계 산화촉매를 적용했을 때 오존에 의한 탄소 입자상 물질의 산화속도를 크게 개선시키지 못했지만 연소반응의 이산화탄소 선택도를 향상시켰으며, 탄소 입자상 물질의 선택적 산화를 위해 고려된 NO의 $NO_2$로의 사전 전환($NO_2$-rich 조건)은 $NO_2$와 오존의 상호 상승작용에 의해 $150^{\circ}C$ 부근 온도영역에서의 탄소상 입자물질 연소성능을 높이는데 효과가 있었다.

• Journal of Radiation Protection and Research
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• 제47권3호
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• pp.134-142
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• 2022

Background: This study investigated the characteristics of optically stimulated luminescence dosimeters (OSLDs) with fully filled deep electron/hole traps in the kV energy ranges. Materials and Methods: The experimental group consisted of InLight nanoDots, whose deep electron/hole traps were fully filled with 5 kGy pre-irradiation (OSLD_exp), whereas the non-pre-irradiated OSLDs were arranged as a control group (OSLD_cont). Absorbed doses for 75, 80, 85, 90, 95, 100, and 105 kVp with 200 mA and 40 ms were measured and defined as the unit doses for each energy value. A bleaching device equipped with a 520-nm long-pass filter was used, and the strong beam mode was used to read out signal counts. The characteristics were investigated in terms of fading, dose sensitivities according to the accumulated doses, and dose linearity. Results and Discussion: In OSLD_exp, the average normalized counts (sensitivities) were 12.7%, 14.0%, 15.0%, 10.2%, 18.0%, 17.9%, and 17.3% higher compared with those in OSLD_cont for 75, 80, 90, 95, 100, and 105 kVp, respectively. The dose accumulation and bleaching time did not significantly alter the sensitivity, regardless of the filling of deep traps for all radiation qualities. Both OSLD_exp and OSLD_cont exhibited good linearity, by showing coefficients determination (R²) > 0.99. The OSL sensitivities can be increased by filling of deep electron/hole traps in the energy ranges between 75 and 105 kVp, and they exhibited no significant variations according to the bleaching time.

• 대한기계학회논문집B
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• 제36권6호
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• pp.655-662
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• 2012

심각한 사고를 초래하는 석유화학 플랜트의 가스 누출 여부와 위치를 실시간으로 탐지하기 위하여 주변의 여러 기계소음 등으로부터 비정상적 누출 음향을 분리할 수 있는 기법을 제시하였다. LMS 알고리즘을 이용하여 FIR구조의 적응필터와 누출 탐지용 상호상관함수를 이용하여, LABVIEW를 통하여 누출예측프로그램을 개발하였고 직접 제작한 장비를 이용하여 잔향실에서 실험을 수행하였다. 홀 사이즈, 압력, 거리, 주파수를 인자로 하여 비정상적 누출소음에 대한 실험에서 얻어진 데이터를 분석한 결과, 암소음은 1kHz 대역 이하에서 주로 발생하고 누출에 의한 소음신호는 고주파 대역, 특히 16kHz의 대역에서 가장 잘 발생한다는 것을 알게 되었다. 이런 음향기법의 가능성을 확인하기 위해서 실제로 정유공장에서 소음을 측정한 결과, 펌프와 압축기에서의 소음신호가 각각 2kHz, 4.5kHz로 측정됨으로써 주변 환경 소음과 누출음이 구별 가능하고 누출 위치(거리)의 탐지가 가능함을 밝혔다.

• 대한화학회지
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• 제21권4호
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• pp.293-303
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• 1977

셀룰로오스질 유기고형폐물로서 목피 및 톱밥과 순수한 셀룰로오스로서 여지를 $300^{\circ}C$ 질소기류하 또는 질소와 공기의 혼합기류하에서 열분해하고 생성물은 공기냉각, 수냉각, 드라이아이스-아세톤 냉각에 의해서 응축되는 성분과 비응축성 가스 및 탄화찌끼의 양을 조사하였다. 또 이중 드라이아이스-아세톤 냉각에 이해서 포집된 휘발성 액체 성분을 기체크로마토그래프를 이용하여 분리하고 이들 성분의 머무는 시간과 시린지반응에 의해 동정하였다. 질소기류하에서 열분해할 경우에는 타아르성분이 13.4 ∼ 29.6${\%}$, 수용성액체가 0.01 ∼ 0.12${\%}$, 휘발성액체가 0.24 ∼ 1.43${\%}$, 비응축성가스가 9.84 ∼ 42.4${\%}$, 탄화찌끼가 44.0 ∼ 65.81${\%}$이었고 혼합기류하에서 열분해할 경우에는 다른 성분이나 응축성 액체의 양이 감소되고 비응축성가스가 증가되었다. 질소기류하에서 포집된 휘발성액체는 Porapak Q 칼럼에 의해서 분해물질에 상관없이 19가지의 똑같은 성분으로 분리되었고 다만 각 성분의 상대적 양만이 차이를 나타내었다. 혼합기류하에서 열분해할 경우에는 6개성분만이 생성되었고 주로 methanol, formaldehyde 등의 분자량이 적은 물질만이 생성되었다. 분리된 19성분을 머무는 시간과 시린지 반응에 의해 동정해 본 결과 methanol, formaldehyde, acetone, acetaldehyde, acetic acid와 3개의 hydroxyl기를 가진 것으로 추측되는 성분이 동정되었다.

• 한국환경복원기술학회지
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• 제26권4호
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• pp.17-34
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• 2023

Camera trapping has been used as a non-invasive survey method that minimizes anthropogenic disturbance to ecosystems. Nevertheless, it is labor-intensive and time-consuming, requiring researchers to quantify species and populations. In this study, we aimed to improve the preprocessing of camera trapping data by utilizing an object detection algorithm. Wildlife monitoring using unmanned sensor cameras was conducted in a forested urban forest and a green space on a university campus in Cheonan City, Chungcheongnam-do, Korea. The collected camera trapping data were classified by a researcher to identify the occurrence of species. The data was then used to test the performance of the YOLO-X object detection algorithm for wildlife detection. The camera trapping resulted in 10,500 images of the urban forest and 51,974 images of green spaces on campus. Out of the total 62,474 images, 52,993 images (84.82%) were found to be false positives, while 9,481 images (15.18%) were found to contain wildlife. As a result of wildlife monitoring, 19 species of birds, 5 species of mammals, and 1 species of reptile were observed within the study area. In addition, there were statistically significant differences in the frequency of occurrence of the following species according to the type of urban greenery: Parus varius(t = -3.035, p < 0.01), Parus major(t = 2.112, p < 0.05), Passer montanus(t = 2.112, p < 0.05), Paradoxornis webbianus(t = 2.112, p < 0.05), Turdus hortulorum(t = -4.026, p < 0.001), and Sitta europaea(t = -2.189, p < 0.05). The detection performance of the YOLO-X model for wildlife occurrence was analyzed, and it successfully classified 94.2% of the camera trapping data. In particular, the number of true positive predictions was 7,809 images and the number of false negative predictions was 51,044 images. In this study, the object detection algorithm YOLO-X model was used to detect the presence of wildlife in the camera trapping data. In this study, the YOLO-X model was used with a filter activated to detect 10 specific animal taxa out of the 80 classes trained on the COCO dataset, without any additional training. In future studies, it is necessary to create and apply training data for key occurrence species to make the model suitable for wildlife monitoring.