Seasonal effect of Hanwoo oocyte recovery & embryo development by OPU technology

Dongkyo Kim,Namtae Kim,Sungwoo Kim,Chan-lan Kim,Ik Soo Jeon,YeoungGyu Ko,Minsu Kim 한국수정란이식학회 2018 한국수정란이식학회 학술대회 Vol.2018 No.11

The ovum pick up(OPU) technique can be used to produce embryos after in vitro culture of ovarian oocytes, can be used for early securement for effective herd early proliferation and excellent Hanwoo genetic resources, It is attracting attention as a very important technique for establishing technology. In addition to in vitro culture techniques, the number of oocytes retrieved depends on the environment and timing of the OPU. This study was conducted to compare and examine seasonal effect to the differences in the number of recovered oocytes, recovery rate and embryo development rate using Korean cattle kept in animal genetic resource research center by OPU technique. The grade of COCs was evaluated by microscopic examination. Grade A had 3 or more layers of cumulus cell and compact cytoplasm. Grade B had 1~3 layers of cumulus cell and compact cytoplasm. Grade C had 1 layers cumulus cell and compact cytoplasm. Grade D was denuded oocyte and poor cytoplasm. The recovery rate was 47.8±3.4% in summer (June to August) and 51.6±3.8% in autumn (September to October). The number of oocytes was 5.7±0.6 in summer and 5.2±0.7 in autumn. Oocyte grade A and B was 46.2%±6.3% in summer and 51.1±5.0% in autumn. The cleavage rate was 46.1±7.1% in summer and 65.0±11.3% in autumn. Blastocyst development rate was 19.9±9.4% in summer and 29.0±8.7% in autumn. There was no difference the recovery rate of oocytes and the number of embryos between summer and autumn. Cleavage rate and blastocyst rate of autumn was higher than summer. we will investigate to study the appropriate method for the production of Hanwoo embryos and the systematic comparison.

The Effects of Cummulus Oocyte Complex Quality on the Embryo Production Via OPU Procesures

Dongkyo Kim,Namtae Kim,Sung Woo Kim,Chan-lan Kim,Min Su Kim,Ik Soo Jeon 한국동물생명공학회(구 한국동물번식학회) 2017 발생공학 국제심포지엄 및 학술대회 Vol.2017 No.10

OPU (Ovum pick up) has been an important technique to increase genetic resources for early establishment of genetically important herd and in vitro embryo production system. This study compared relationship between OPU-derived COCs quality and embryo development. The recovery procedures of COCs were performed twice a week using ultrasound guided OPU tools. The 18 gauge disposable needle was connected into 50 mL conical tube by teflon tubing, The grade of COCs was evaluated by microscopic examination. Grade A had 3 or more layers of cumulus cell and compact cytoplasm. Grade B had 1~3 layers of cumulus cell and compact cytoplasm. Grade C had 1 layers cumulus cell and compact cytoplasm. Grade D was denuded oocyte and poor cytoplasm. The collected COCs were fertilized in vitro and developed for 7~8 day in mSOF media. The cleavage rate of grade A/B dominant pick-up group (above 60% of A/B grade rate from total recovered COCs) was 48.9% and that of poor quality was 51.9%. The rate of blastocyst rate in grade A/B dominant OPU procedures after IVF was 28.9%, but poor quality group (below 60% of A/B grade COCs) was 14.8%. The developed blastocysts were transferred into recipient or cryopreserved for further research. When total 11 blastocysts were transferred into surrogate cows with the pregnancy rate (4/11) of 36.3% and 4 calves are expected.

Point Cloud 기반의 Neural Network를 이용한 그리퍼의 최적 파지점 추출 알고리즘 연구

정동교(Dongkyo Jeong),김동언(Dongeon Kim),이승현(Seunghyeon Lee),이장명(Jang-Myung Lee) 제어로봇시스템학회 2021 제어·로봇·시스템학회 논문지 Vol.27 No.1

In this paper, the optimal griping point learning is conducted through the neural network with the input of point cloud data. The SG-DNN (Stable Grasping-Deep Neural Network) algorithm, which was applied only to the shapes classified as the “original type”, is extended to the real object and additionally composed of cost functions. Through this, a study was conducted to extract the optimal point for stable griping. Griping objects were simplified and limited to 10 types of shapes in the SG-DNN algorithm, and 4 cost functions were designed accordingly in order to extract the optimal griping point. However, when applying the method for an actual object, there was a limitation in deriving the optimal griping point. The content of the text uses a sample extracted from coordinate points through the point cloud data of a real object as the input of the neural network model. In comparison to the conventional method, a learning data set including dense surface area coordinates is constructed, leading to the extraction of a precise gripping point. The cost function was supplemented with cost functions for height, width, and rotation, and was designed to fit the actual object while including the cost function for the mass center according to the material and the gripper depth. The performance of the algorithm was verified by griping experiments involving real objects.

비 균일 무선 센서 네트워크 환경에서 밀집 확률 모델링을 이용한 센서 위치 인식 기법

박혁(Hyuk Park),황동교(Dongkyo Hwang),박준호(Junho Park),성동욱(Dong-ook Seong),유재수(Jaesoo Yoo) 한국콘텐츠학회 2012 한국콘텐츠학회논문지 Vol.12 No.3

무선 센서 네트워크에서 위치 측위 기술은 재난 감시, 환경 모니터링 등과 같은 응용에서 매우 필수적이다. 대표적인 Range-free 기반 위치 측위 기법인 DV-HOP은 균일한 네트워크 환경을 기반으로 위치를 측위하기 때문에 실제 배포 환경을 고려하지 않는다. 따라서 실제 배포 환경인 비 균일 네트워크에서는 위치 정확도가 낮다. 이러한 환경에서 정확도를 향상시키기 위해서는 많은 수의 앵커 노드를 필요로 하기 때문에, 많은 구축비용이 소모되는 문제점이 발생한다. 본 논문에서는 이러한 문제점을 해결하기 위해 비균일 환경을 고려한 위치 인식 기법을 제안한다. 제안하는 기법은 노드 배포 특성을 이용한 밀집 확률 방법과 정확도 향상을 위해 노드 간 거리를 보정하는 기법으로 구성된다. 이를 통해, 비 균일 무선 센서 네트워크 환경에서도 높은 정확도의 센서 측위가 가능하다. 성능평가 결과, 비 균일한 배포 환경에서도 제안하는 기법이 기존 기법에 비해 위치 측위 정확도가 평균 44% 상승하였다. In wireless sensor networks, a positioning scheme is one of core technologies for sensor applications such as disaster monitoring and environment monitoring . The One of the most positioning scheme, called DV-HOP does not consider non-uniform sensor networks that are actual distributed environments. Therefore, the accuracy of the existing positioning scheme is low in non-uniform network environments. Moreover, because it requires many anchor nodes for high accuracy in non-uniform network environments, it is expensive to construct the network . To overcome this problem, we propose a novel sensor positioning scheme using density probability models in non-uniform wireless sensor networks. The proposed scheme consists of the density probability model using the deployment characteristics of sensor nodes and the distance refinement algorithm for high accuracy. By doing so, the proposed scheme ensures the high accuracy of sensor positioning in non-uniform networks. To show the superiority of our proposed scheme, we compare it with the existing scheme. Our experimental results show that our proposed scheme improves about 44% accuracy of sensor positioning over the existing scheme on average even in non-uniform sensor networks.

도로 환경에서 센서 네트워크를 이용한 효율적인 양방향 선형 브로드캐스트 기법

강수(Soo Kang),황동교(Dongkyo Hwang),박준호(Junho Park),성동욱(Dongook Seong),유재수(Jaesoo Yoo) 한국정보과학회 2012 정보과학회 컴퓨팅의 실제 논문지 Vol.18 No.3

도로 네트워크에서 이동하는 객체에 효율적인 위치 기반 서비스를 제공하기 위한 다양한 브로드캐스트 기법이 제안되었다. 하지만 빈번하게 변화하는 이동 객체 환경을 고려한 브로드캐스트 기법에 대한 연구는 아직 활발히 이루어지고 있지 않다. 따라서 본 논문에서는 도로 네트워크 특성을 고려한 양방향 선형 브로드캐스트 기법을 제안한다. 제안하는 기법은 빈번하게 변화하는 이동 객체 환경을 고려하여 센서 네트워크를 통해 수집되는 도로 정보를 기반으로 최적의 데이터 갱신을 수행한다. 또한, 질의 처리 속도의 향상을 위해, 서비스 영역을 센서 클러스터 기반의 지역 세그먼트로 분할한다. 결과적으로 제안하는 기법은 기존 브로드캐스트 기법에 비해 불필요한 데이터의 브로드캐스트를 최소화시킨다. 제안하는 기법의 우수성을 보이기 위해 기존에 제안된 브로드캐스트 기법과 시뮬레이션을 통해 성능을 비교 평가 하였다. 성능 평가 결과, 기존 브로드캐스트 기법에 비해 튜닝 시간이 평균 약 13%, 접근 지연 시간이 평균 약 22% 감소하였다. Various broadcast schemes have been proposed to provide moving objects on the road network with efficient location-based services. However, they were mainly concerned with the implementation of a broadcast index and did not consider road network environments that moving objects change frequently. In this paper, we propose a novel bi-directional linear broadcast scheme which takes the consideration of road network characteristics. The proposed scheme splits a service area into the sensor cluster-based segments in order to process a query efficiently. The proposed scheme also performs the optimized data update based on road information collected in sensor networks by considering the frequently changed moving object environments. As a result, it can minimize the broadcast of unnecessary data. To show the superiority of our proposed scheme, we compare it with the existing broadcast scheme. Our experimental results show that our proposed scheme reduces about 13% tuning time and about 22% access latency over the existing schemes on average.

도로 환경에서 센서 네트워크를 이용한 효율적인 양방향 선형 브로드캐스트 색인 기법

강수(Soo Kang),황동교(Dongkyo Hwang),성동욱(Dongook Seong),유재수(Jaesoo You) 한국정보과학회 2011 한국정보과학회 학술발표논문집 Vol.38 No.1A

도로 환경에서 이동하는 객체에 효율적인 위치기반 서비스를 제공하기 위해 다양한 브로드캐스트 기법들이 연구 되어 왔다. 하지만 실시간으로 변하는 도로 환경을 고려한 효율적인 브로드캐스트 기법이 요구되고 있다. 본 논문에서는 도로 특성을 고려한 양방향 선형 브로드캐스트 색인 구조를 제안하고, 빈번하게 변화하는 도로 환경을 고려하여 센서 네트워크를 통해 수집되는 도로 정보를 기반으로 최적의 QoS(Quality of Service)를 유지시키는 브로드캐스트 전략 갱신 기법을 제안한다. 또한 질의 처리 속도 향상을 위해 서비스 지역을 센서 클러스터 기반의 지역 세그먼트로 분할하여 불필요한 데이터의 브로드캐스트를 제거하는 분산 브로드캐스트 서비스 구조를 제안한다. 제안하는 기법의 우수성을 증명하기 위해 기존에 제안된 브로드캐스트 기법과 성능을 비교 평가한다.

무선 센서 네트워크 환경에서 센싱 반경 조절을 이용한 위치 측정 기법

박혁(Hyuk Park),황동교(Dongkyo Hwang),박준호(Junho Park),성동욱(Dong-ook Seong),유재수(Jaesoo Yoo) 한국콘텐츠학회 2013 한국콘텐츠학회논문지 Vol.13 No.2

무선 센서 네트워크에서 재난, 환경 모니터링 등에 대한 응용으로써 센서 노드의 지리학적 위치 측정은 매우 중요하다. 이를 위해 무선 센서 네트워크 분야는 Range-free 위치 측정 기법에 대한 연구가 활발하게 진행 중이며, 비 균일 네트워크 환경에서 위치 정확도를 향상하기 위한 중심 극한 정리와 정규 분포에 근거한 위치 측정 기법인 밀집 확률 기법이 제안되었다. 밀집 확률 기법의 경우 노드 통신을 통해 거리를 추정 후 최종 위치를 측정하지만 거리 추정 시 주위 인근 모든 노드가 동일한 1-홉 추정 거리를 갖는 문제점이 발생한다. 따라서 본 논문에서는 이러한 오차를 최소화하기 위해 각 노드마다 거리 추정 후 센싱 반경을 조절하여 2차 지역 거리 평가를 통해 센서의 위치를 측정하는 기법을 제안한다. 성능평가 결과, 제안하는 기법은 밀집 확률 기법에 비해 9% 더 높은 정확도를 보였다. 또한 대표적인 Range-free 위치 측정 기법인 DV-HOP에 비해 48% 더 우수한 위치 정확도를 보였다. In wireless sensor networks, the geographical positioning scheme is one of core technologies for sensor applications such as disaster monitoring and environment monitoring. For this reason, studies on range-free positioning schemes have been actively progressing. The density probability scheme based on central limit theorem and normal distribution was proposed to improve the location accuracy in non-uniform sensor network environments. The density probability scheme measures the final positions of unknown nodes by estimating distance through the sensor node communication. However, it has a problem that all of the neighboring nodes have the same 1-hop distance. In this paper, we propose an efficient sensor positioning scheme that overcomes this problem. The proposed scheme performs the second positioning step through the sensing range control after estimating the 1-hop distance of each node in order to minimize the estimation error. Our experimental results show that our proposed scheme improves the accuracy of sensor positioning by about 9% over the density probability scheme and by about 48% over the DV-HOP scheme.

Profiling of miRNA expression in mice kidney with diabetic nephropathy

박혜림,Seung Eun Lee,김혜미,Seeun Jeon,Dongkyo Han,Young-Ho Jin,조정제,안현종,Cheung-Seog Park,Jongsung Lee,Yong Seek Park 대한독성 유전단백체 학회 2018 Molecular & cellular toxicology Vol.14 No.4

Backgrounds: Diabetic nephropathy (DN) is one of the complications of diabetes mellitus (DM) and the worldwide prevalence of DN has continued to increase. DN causes cellular stress and inflammation, which induces death of renal cells and dysfunction of blood vessels. MicroRNAs (miRNAs) are small interfering RNAs that negatively regulate mRNA gene expression. Various human diseases are attributed to aberrant miRNAs expression, and miRNAs levels are used as markers for diagnosis and classification of diseases. However, the profile of miRNAs in DN mouse have not been fully explained, we analyzed miRNAs expression in the kidney of diabetic mice. Methods: C57BL6 male mice were injected with streptozotocin (50 mg/kg body weight) for five consecutive days to induce DM. Mice were sacrificed after 16 weeks and RNAs were extracted from the kidneys and analyzed via microarray profiling. Results: Our results confirmed that 137 miRNAs expression was altered in DM. These miRNAs showed pairwise correlations with 48 mRNAs in DM kidney. Furthermore, Differential expressed miRNAs were characterized by Gene Ontology (GO) enrichment analysis and signaling pathway using DAVID. Conclusion: Our findings may provide that changes in miRNA expression in mice with diabetic nephropathy influences disease progression and might provide insights into the molecular mechanisms underlying DN.

Fast and robust Interconnection and damping assignment passivity-based control design for Flexible Joint Robot

Abner Asignacion(아브너 어시그네시온),Seungkyu Park(박승규),Dongkyo Lee(이동교),Kiyeon Park(박기연) 대한전기학회 2017 대한전기학회 학술대회 논문집 Vol.2017 No.7

Development of filter-free particle filtration unit utilizing condensational growth: With special emphasis on high-concentration of ultrafine particles

Pyo, Juwon,Ock, Yoohyun,Jeong, Dongkyo,Park, Kihong,Lee, Donggeun Elsevier 2017 Building and Environment Vol.112 No.-

<P><B>Abstract</B></P> <P>The public health impact of particulate matter in ambient air with a size of 2.5 μm or smaller (PM<SUB>2.5</SUB>) has been of great concern. It is well known that PM<SUB>2.5</SUB> is much more harmful to human health than coarse particles. To remove PM<SUB>2.5</SUB>, most air purifiers on the market have been equipped with a high efficiency particulate air (HEPA) filter. Under the circumstances that generate PM<SUB>2.5</SUB> aerosols at high concentrations such as during indoor cooking or in work places, HEPA-grade filters are neither durable nor applicable because of their high replacement cost. Thus, a large number of cooks and workers are exposed to intensive emissions of PM<SUB>2.5</SUB> without proper filtration. In this paper, we introduce a novel concept to remove PM<SUB>2.5</SUB> without HEPA filters. A key idea is to use the condensational growth of particles. Once the particles have grown to a few micron, they are much easier to remove because of their increased inertia. Based on this, we developed the first prototype of a filter-free particle filtration unit consisting of an air saturator (equipped with water spray nozzles), a condenser in which humid air is cooled down to a supersaturation state and thereby allows particles to grow by condensation, and a multi-nozzle-impactor assembly for collecting the grown particles downstream of the condenser. We started with a small-scale model, and then demonstrated that a large-scale prototype could remove organic, inorganic, and metallic ultrafine particles with a collection efficiency of larger than 80% at a volume flow rate of 50–92 L/s.</P> <P><B>Highlights</B></P> <P> <UL> <LI> We propose a new concept for removing ultrafine particles without HEPA filter. </LI> <LI> Rapid condensation growth and subsequent impaction of ultrafine particles are a key idea. </LI> <LI> We developed a prototype of filter-free particle filtration units for ultrafine particle control. </LI> <LI> The system is applicable for any types of ultrafine particles and possibly for PM2.5. </LI> </UL> </P>