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Crowd Activity Recognition using Optical Flow Orientation Distribution
( Jinpyung Kim ),( Gyujin Jang ),( Gyujin Kim ),( Moon-hyun Kim ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.8
In the field of computer vision, visual surveillance systems have recently become an important research topic. Growth in this area is being driven by both the increase in the availability of inexpensive computing devices and image sensors as well as the general inefficiency of manual surveillance and monitoring. In particular, the ultimate goal for many visual surveillance systems is to provide automatic activity recognition for events at a given site. A higher level of understanding of these activities requires certain lower-level computer vision tasks to be performed. So in this paper, we propose an intelligent activity recognition model that uses a structure learning method and a classification method. The structure learning method is provided as a K2-learning algorithm that generates Bayesian networks of causal relationships between sensors for a given activity. The statistical characteristics of the sensor values and the topological characteristics of the generated graphs are learned for each activity, and then a neural network is designed to classify the current activity according to the features extracted from the multiple sensor values that have been collected. Finally, the proposed method is implemented and tested by using PETS2013 benchmark data.
거대 화상용 PIV 시스템을 이용한 자동차 실내 환기유동에 대한 실험적 연구
이진평(Jinpyung Lee),김학림(Haklim Kim),이상준(Sangjoon Lee) 한국자동차공학회 2009 한국자동차공학회 부문종합 학술대회 Vol.2009 No.4
Most vehicles have a heating, ventilating and air conditioning (HVAC) device to control the thermal condition and make comfortable environment in a passenger compartment. The improvement of comfortability of the passenger compartment is crucial for creating comfortable environment and securing driving safety. For this, better understanding on the variation of flow characteristics of ventilation air inside the passenger compartment with respect to the ventilation condition is strongly required. Most previous studies on the ventilation flow, were carried out using computational fluid dynamics (CFD) method or scale-down water-model experiments. In this study, by using a particle image velocimetry (PIV) velocity measurement technique, the ventilation flow inside the passenger compartment of a real passenger car with HVAC system was measured and analyzed experimentally. With varying ventilation mode, the velocity fields inside the vehicle interior were measured at several vertical planes along the spanwise direction. These experimental data will be used for understanding the detailed flow structures and validating numerical predictions
PIV Measurements of Ventilation Flow inside the Passenger Compartment of a passenger Car
이진평(Jinpyung Lee),김학림(Haklim Kim),이상준(Sangjoon Lee) 한국자동차공학회 2009 한국자동차공학회 학술대회 및 전시회 Vol.2009 No.11
Most vehicles have a heating, ventilating and air conditioning (HVAC) device to control the thermal condition and make comfortable environment in a passenger compartment. The improvement of comfortability of the passenger compartment is crucial for creating comfortable environment and securing driving safety. For this, better understanding on the variation of flow characteristics of ventilation air inside the passenger compartment with respect to the ventilation condition is strongly required. Most previous studies on the ventilation flow, were carried out using computational fluid dynamics (CFD) method or scale-down water-model experiments. In this study, by using a particle image velocimetry (PIV) velocity measurement technique, the ventilation flow inside the passenger compartment of a real passenger car with HVAC system was measured and analyzed experimentally. With varying ventilation mode, the velocity fields inside the vehicle interior were measured at several vertical planes along the spanwise direction. These experimental data will be used for understanding the detailed flow structures and validating numerical predictions
Reinforced nitrogen oxide gas adsorption by sulfur ionic treatment
Jeon Young Pyo,Lee Sang-hwa,Song Jun Yong,Park Yong Yeol,Lee Eun Jung,Jeon Ok Sung,Kang Sung Ho,Byun Chang Woo,Kim Jinpyung,Park Sang Yoon,Yoo Young Joon,Yang Keun–Hyeok 한국물리학회 2021 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.79 No.11
To obtain a material that adsorbs nitrogen oxide (NOx) gas with high efficiency, we used sulfuric acid ( H2SO4)-treated activated carbon (AC). The proposed H2SO4- treated AC was treated by dipping and spray coating in a H2SO4 solution. For structural analysis, scanning electron microscopy and Brunauer–Emmett–Teller measurements were performed on general and H2SO4- treated ACs. The composition of the atoms on the surface and inner pore structure of both ACs was confirmed through energy dispersive X-ray spectroscopy measurements. From the structural analysis, it was confirmed that the structure of H2SO4- treated AC was similar to that of general AC, indicating that it was not affected by the H2SO4 solution. There was no significant difference in the inner pore structures of general and H2SO4- treated ACs through specific surface area analysis, which indicates that the physical adsorption of NOx gas for the H2SO4- treated AC is similar to that of general AC. Based on the atomic composition analysis, it was confirmed that sulfur ions were largely present on the inner pore structure than the surface of H2SO4- treated AC. These results indicate that the chemical adsorption of sulfur ions and NOx gas in the inner pore structure occurred rather than physical adsorption. The results of this study are expected to be applicable to the field of materials that remove harmful gases.