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3D Head Modeling using Depth Sensor
Song, Eungyeol,Choi, Jaesung,Jeon, Taejae,Lee, Sangyoun International Society for Simulation Surgery 2015 Journal of International Society for Simulation Su Vol.2 No.1
Purpose We conducted a study on the reconstruction of the head's shape in 3D using the ToF depth sensor. A time-of-flight camera (ToF camera) is a range imaging camera system that resolves distance based on the known speed of light, measuring the time-of-flight of a light signal between the camera and the subject for each point of the image. The above method is the safest way of measuring the head shape of plagiocephaly patients in 3D. The texture, appearance and size of the head were reconstructed from the measured data and we used the SDF method for a precise reconstruction. Materials and Methods To generate a precise model, mesh was generated by using Marching cube and SDF. Results The ground truth was determined by measuring 10 people of experiment participants for 3 times repetitively and the created 3D model of the same part from this experiment was measured as well. Measurement of actual head circumference and the reconstructed model were made according to the layer 3 standard and measurement errors were also calculated. As a result, we were able to gain exact results with an average error of 0.9 cm, standard deviation of 0.9, min: 0.2 and max: 1.4. Conclusion The suggested method was able to complete the 3D model by minimizing errors. This model is very effective in terms of quantitative and objective evaluation. However, measurement range somewhat lacks 3D information for the manufacture of protective helmets, as measurements were made according to the layer 3 standard. As a result, measurement range will need to be widened to facilitate production of more precise and perfectively protective helmets by conducting scans on all head circumferences in the future.
Effects of RESET Current Overshoot and Resistance State on Reliability of RRAM
Jeonghwan Song,Daeseok Lee,Jiyong Woo,Yunmo Koo,Euijun Cha,Sangheon Lee,Jaesung Park,Kibong Moon,Misha, Saiful Haque,Prakash, Amit,Hyunsang Hwang IEEE 2014 IEEE electron device letters Vol.35 No.6
<P>Current overshoot has severe effects on the reliability of resistive random access memory (RRAM). It is well known that the current overshoot during the SET process is caused by parasitic capacitance. In this letter, we observed a different type of current overshoot during the RESET process. The RESET current overshoot was confirmed to have severe effects on the endurance of RRAM. We also demonstrated the relation between the current overshoot and the intrinsic capacitive elements of each state of RRAM. Finally, an optimized pulse shape was proposed to minimize the current overshoot and was experimentally verified to significantly improve the variability and endurance in a typical RRAM device with a W/Zr/HfO<SUB>2</SUB>/TiN structure.</P>
이동 Ad Hoc 네트워크에서 다중경로를 통한 신뢰도 기반의 안전한 인증 기법
김재성 ( Jaesung Kim ),송주석 ( Jooseok Song ) 한국정보처리학회 2009 한국정보처리학회 학술대회논문집 Vol.16 No.1
이동 Ad Hoc 네트워크에서는 노드가 신뢰받은 인증기관을 통해 인증을 받는 형식이 아니기 때문에, 멀티홉 방식에 의해 라우팅을 수행할 경우 악의적인 중간 노드에 의해 데이터의 무결성 및 기밀성 문제가 발생할 수 있다. 따라서 이동 Ad Hoc 네트워크에서 안전하게 통신하기 위해서는 네트워크에 참여한 노드 중 악의적 중간 노드를 찾아내 격리시키고, 서로 신뢰할 수 있는 노드만이 네트워크에 참여할 수 있도록 하는 방안이 필요하다. 본 논문에서는 신뢰받는 인증기관이 없는 이동 Ad Hoc 네트워크에서 신뢰도 측정을 바탕으로 노드간 상호 인증할 수 있는 새로운 방안을 제시한다.
Polydiacetylene-embedded microbeads for colorimetric and volumetric sensing of hydrocarbons.
Hong, Jaesung,Park, Dong-Hoon,Baek, Sunghoon,Song, Simon,Lee, Chan Woo,Kim, Jong-Man American Chemical Society 2015 ACS APPLIED MATERIALS & INTERFACES Vol.7 No.15
<P>Rational design of a hydrocarbon sensor that enables visual differentiation of saturated aliphatic hydrocarbons (SAHCs) is very difficult owing to the lack of useful functional groups that can interact with the sensor system. Here, we report a microbead embedded with polydiacetylene that undergoes faster swelling and faster blue-to-red color change in response to the hydrocarbons of shorter alkyl chains. Accordingly, visual differentiation among n-pentane, n-heptane, n-nonane, and n-undecane was readily achieved. By taking advantage of the collective effect, construction of a sensor system with amplified response was possible. Combination of microfluidic technology (for bead preparation), PDMS (swellable polymeric matrix), and polydiacetylene (colorimetric material) was key to enabling this unique hydrocarbon sensor.</P>
Cho, Jaesung,Ko, Eun Young,Jo, Kyung,Lee, Seonmin,Jang, Sungbong,Song, Minho,Jung, Samooel Asian Australasian Association of Animal Productio 2020 Animal Bioscience Vol.33 No.4
Objective: This study was conducted to investigate the effect of heating of foot-and-mouth disease (FMD) vaccine before injection, on the incidence of lesions at the injection site (pork butt), amount of discarded meat, and economical benefit. Methods: In total, 101,086 piglets raised in 30 farms, were vaccinated in the neck with 2 mL of FMD vaccine at 56 d and 84 d of age using a commercial syringe. The heat treatment group (48,511 pigs) was injected with the FMD vaccine after it had been heated in a water bath at 40℃ for 20 min. After slaughter, the incidence of lesions on the pork butt was inspected, and the subsequent amount of discarded meat was recorded. Results: Heat treatment of FMD vaccine reduced the incident rate of lesions on the pork butt (p<0.01). Overall, 17.81% of the pigs in the heat treatment group had lesions, while the incident rate in the control group was 21.70%. The amount of discarded meat per head of total pigs and per head of pigs with lesions were significantly lower in the heat treatment group than the control group (p<0.01). Thus, the proportion of discarded meat to dressed carcass was lower in the heat treatment group (0.249%) compared with the control group (0.338%) (p<0.01). Farms that rear 1,000 sows can gain 1,863,289 KRW (1,600 USD) in one year when they adopt heat treatment of FMD vaccine before injection. Conclusion: Heat treatment of FMD vaccine using simple heat equipment (water bath) can be effective in reducing lesions caused by FMD vaccination and increase the economic benefits in pig farms.
제한된 데이터셋 조건별 YOLOv8 객체 분할 탐지 성능 비교
송지수 ( Jisu Song ),박재성 ( Jaesung Park ),김동석 ( Dongsuk Kim ),김효성 ( Hyosung Kim ),정은지 ( Eunji Jung ),황현정 ( Hyunjung Hwang ) 한국농업기계학회 2023 한국농업기계학회 학술발표논문집 Vol.28 No.2
최신 딥러닝 기반의 객체 탐지 기술은 놀라운 성능을 보이며, 특히 YOLO (You Only Look Once)아키텍처는 빠르고 정확한 탐지 능력으로 주목받고 있다. 이 아키텍처의 최신 버전인 YOLOv8은 성능과 속도 모두에서 향상을 보였다. 그러나 대부분의 객체 검출 모델은 많은 데이터셋이 필요하며, 실제 환경에서는 금전 및 환경 등의 문제로 큰 데이터셋을 확보하기 어려울 때가 많다. 따라서 본 연구에서는 YOLOv8을 중심으로, 데이터셋의 다양한 구성 방법을 실험하여 객체 분할 탐지 성능의 차이를 비교하여 최적화 방안을 모색하고자 한다. 본 연구는 YOLOv8 아키텍처의 성능을 극대화하는 방법을 탐색하는 것을 주 목적으로 하였다. 이를 위해, 고해상도로 촬영된 딸기 이미지 281개와 해당 이미지의 Instance segmentation 라벨 데이터셋을 사용하였다. 이러한 데이터셋은 다양한 환경 및 조명 조건에서 촬영되었으며, 각 이미지에 대한 정확한 Ground Truth 정보를 라벨 데이터에서 얻을 수 있다. 학습의 효율성과 모델의 일반화 능력을 극대화하기 위해서, 데이터셋의 양과 학습, 검증 데이터의 분할 비율을 조절하며 실험을 진행하였다. 더불어, 기존 YOLO 아키텍처에서 활용하는 mosaic 증강 기법 외에도 여러 다양한 데이터 증강 방법을 적용하여 시험하였다. 성능평가는 주로 IOU(Intersection over Union)를 사용하여 이루어졌다. 예측 결과 중 Confidence 값이 90% 이상인 데이터만을 선별하여, 해당 예측 Mask와 Ground Truth Mask 간의 일치도를 평가하였다. 부족한 데이터셋에서의 딥러닝 모델의 성능 최적화는 중요한 연구 주제 중 하나이다. 본 연구는 제한된 데이터로 YOLOv8 아키텍처의 성능 최적화 방법을 탐색하는 것을 목표로 하였다. 학습의 효율성과 모델의 일반화 능력을 높이기 위한 다양한 실험을 진행하였으며, 이는 최고 수준의 객체 탐지 성능이 필요하지 않고 적당한 수준의 객체 탐지 성능이 필요한 사용자들에게 유용한 참고를 제공할 것으로 기대된다.