• Journal of Veterinary Science
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• 제22권6호
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• pp.67.1-67.7
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• 2021

Background: Chlamydophila felis, formerly known as Chlamydia psittaci var. felis, is frequently associated with ocular, respiratory, and occasionally reproduction tract infections. Even though the infection is sometimes asymptomatic, it potentially results in a latent immunosuppressive infection. Objective: This study aimed to identify occurrences of feline chlamydophilosis, rarely reported in cats in Indonesia. Methods: The observation was conducted in three cats with clinical signs of Cp. felis infection, particularly relapsing conjunctivitis. The cats' histories were recorded based on owners' information. Conjunctival swabs were sampled for cytology examination and molecular assay detection. A phylogenetic tree was generated using MEGA-X software to reveal group clustering. A post-mortem examination was performed on the cat that died during an examination. Results: Cp. felis was detected in both cytological examination and polymerase chain reaction assay. The phylogenetic tree demonstrated that the Cp. felis isolated in this study clustered with several other isolates from the other countries. Cp. felis can be isolated from cats with different clinical manifestations and levels of severity. The chronic fatal infection demonstrated interstitial broncho-pneumonia under histopathological examination. Conclusions: Molecular assay of Cp. felis is always recommended to obtain a definitive diagnosis of feline chlamydophilosis since the disease can have various clinical manifestations. Even though it may be subclinical and is often not fatal, an infected cat may be a carrier that could spread the pathogen in the surrounding environment. Serious disease management is suggested to avoid high costs associated with regularly relapsing disease.

• 대기
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• 제31권5호
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• pp.489-510
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• 2021

In this paper, we propose an algorithm for detecting convective initiation (CI) using GEO-KOMPSAT-2A/advanced meteorological imager data. The algorithm identifies clouds that are likely to grow into convective clouds with radar reflectivity greater than 35 dBZ within the next two hours. This algorithm is developed using statistical and qualitative analysis of cloud characteristics, such as atmospheric instability, cloud top height, and phase, for convective clouds that occurred on the Korean Peninsula from June to September 2019. The CI algorithm consists of four steps: 1) convective cloud mask, 2) cloud object clustering and tracking, 3) interest field tests, and 4) post-processing tests to remove non-convective objects. Validation, performed using 14 CI events that occurred in the summer of 2020 in Korean Peninsula, shows a total probability of detection of 0.89, false-alarm ratio of 0.46, and mean lead-time of 39 minutes. This algorithm can be useful warnings of rapidly developing convective clouds in future by providing information about CI that is otherwise difficult to predict from radar or a numerical prediction model. This CI information will be provided in short-term forecasts to help predict severe weather events such as localized torrential rainfall and hail.

• 한국축산식품학회지
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• 제42권5호
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• pp.874-888
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• 2022

This study aimed to compare the similarities, physicochemical properties, and muscle fiber characteristics of porcine skeletal muscles. Fourteen types of muscles were collected from nine pig carcasses at 24 h post-mortem and classified by muscle architecture into two main groups, namely parallel and pennate. The muscles were further differentiated into three subtypes per group. These included fan-shaped, fusiform, and strap for the parallel group, and unipennate, bipennate, and multipennate for the pennate group. Parallel-fibered muscles, which were composed of larger I, IIA, IIX, and IIXB fibers and a lower density of IIA fibers, showed higher redness and yellowness values than pennate-fibered muscles (p<0.05). However, the relative fiber area was not significantly different between the parallel and pennate groups (p>0.05). In the subtypes of parallel architecture, the strap group showed lower moisture content and higher redness values than the other subtypes and had considerably higher amounts of oxidative fibers (I and IIA; 72.3%) than the fan-shaped and fusiform groups (p<0.05). In the pennate group, unipennate showed comparatively lower moisture content and higher lightness than other pennate subtypes and was composed of smaller I, IIA, and IIX fibers than the bipennate and multipennate groups (p<0.05). Finally, a different trend of muscle clustering by hierarchical cluster analysis was found between physicochemical properties and muscle fiber characteristics. These results suggest that the physicochemical properties and muscle fiber characteristics of porcine skeletal muscles are not significantly dependent on morphological properties but are rather related to the intrinsic properties of the individual muscles.

• 천문학회보
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• 제45권1호
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• pp.38.2-38.2
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• 2020

Horizon Run 5 (HR5) is a cosmological hydrodynamical simulation which captures the properties of the Universe on a Gpc scale while achieving a resolution of 1 kpc. This enormous dynamic range allows us to simultaneously capture the physics of the cosmic web on very large scales and account for the formation and evolution of dwarf galaxies on much smaller scales. Inside the simulation box. we zoom-in on a high-resolution cuboid region with a volume of 1049 × 114 × 114 Mpc3. The subgrid physics chosen to model galaxy formation includes radiative heating/cooling, reionization, star formation, supernova feedback, chemical evolution tracking the enrichment of oxygen and iron, the growth of supermassive black holes and feedback from active galactic nuclei (AGN) in the form of a dual jet-heating mode. For this simulation we implemented a hybrid MPI-OpenMP version of the RAMSES code, specifically targeted for modern many-core many thread parallel architectures. For the post-processing, we extended the Friends-of-Friend (FoF) algorithm and developed a new galaxy finder to analyse the large outputs of HR5. The simulation successfully reproduces many observations, such as the cosmic star formation history, connectivity of galaxy distribution and stellar mass functions. The simulation also indicates that hydrodynamical effects on small scales impact galaxy clustering up to very large scales near and beyond the baryonic acoustic oscillation (BAO) scale. Hence, caution should be taken when using that scale as a cosmic standard ruler: one needs to carefully understand the corresponding biases. The simulation is expected to be an invaluable asset for the interpretation of upcoming deep surveys of the Universe.

• 현장농수산연구지
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• 제25권3호
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• pp.14-18
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• 2023

2022년 7월, 국내의 저염분 해수 흰다리새우 양식장에서 양식 중이던 흰다리새우가 이상유영과 식욕부진을 보이며 지속적으로 폐사하였다. 일일 평균 폐사율이 0.1%로 완만한 폐사를 보였으나, 2달 넘게 폐사가 지속되었고 성장 지체로 인한 경제적인 피해가 가중되었다. 질병 진단 과정 중, 폐사 새우의 간췌장에서 세균(KNUAF-SHP3)이 분리되었다. 본 세균의 16S rRNA 유전자의 시퀀스 분석 결과, 분리주 KNUAF-SHP3은 Shewanella에 속하는 균으로 동정이 되었고, S. algae MARS 14, S. chilikensis JC5T와 근연 관계를 보이며 같은 그룹으로 분류되었다. 실험 동물을 활용한 인위 감염 실험에서는 상대적으로 고농도(2.1×108CFU/ml와 2.1×109CFU/ml)를 적용한 군에서는 모든 새우들이 감염 증상을 보이며 감염 후 7일 내에 100% 폐사율을 나타내었다. 본 연구는 Shewanella 세균이 저염분 해수 양식 흰다리새우에서의 잠재적인 기회 감염균이 될 수 있음을 기술하고 있다.

• The Journal of Advanced Prosthodontics
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• 제9권4호
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• pp.315-320
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• 2017

PURPOSE. The aim of this investigation was to analyze the dimensions of clinical crowns and to classify the crown and the gingival type in the anterior teeth in Korean young adults. MATERIALS AND METHODS. Casts were obtained from 50 subjects ranging in age from 24 to 32. Measurements of length and width were made on the casts using a pair of digital calipers on the entire dentition. Crown thickness and papilla height were also measured and MDW/CL (mesiodistal width to clinical length) and CW/CL (cervical width to clinical length) ratios of the maxillary anterior teeth were calculated. The K-clustering method was used for CW/CL to classify the anterior tooth shape into three groups (tapered, ovoid, and square), and one-way analysis of variance and Duncan's post-hoc comparison were used to evaluate statistical significance between the groups. Pearson's correlation analysis was performed between tooth shape and papillary height (PH) to demonstrate the correlation between tooth shape and gingival morphological characteristics. RESULTS. The average length of the maxillary central incisors was 9.89 mm; the mesio-distal width was 8.54 mm; and the ratio of width/length was 0.86 in Korean young adults. The average bucco-palatal thickness of the central incisor was 3.14 mm at the incisal 1/3 aspect. Ovoid type was the most common tooth shape (48%), followed by square type (29%) and taper type (23%) in the central incisors of Korean young adults. Tooth shape and gingival type were correlated with each other. CONCLUSION. New reference data were established for tooth size in Korean young adults and the data show several patterns of tooth shape and gingival type. Clinicians should diagnose and treat based on these characteristics for better results in the Korean population.

• 한국통신학회논문지
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• 제35권3B호
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• pp.408-420
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• 2010

MANET(Mobile Ad hoc NETwork)은 고정된 네트워크 구조의 부재로 원거리 노드들 간의 통신은 다중 홉 경로를 통해 이루어지기 때문에 종단 노드 사이에 존재하는 노드들의 비정상적 행위를 탐지하고 예방하기가 어렵다. 그러므로 MANET의 성능과 보안 유지를 위해서는 비정상적 행위를 하는 중간노드들과 그에 오염된 노드를 찾아내기 위한 기법들이 필요하다. 그러나 기존에 제안된 기법들은 MANET를 구성하는 노드들이 우호적이며 상호 협력적인 관계라고 가정하고 비정상적 행위를 하는 노드를 식별하는 방법들만 제시해 왔고, 큰 규모의 MANET에 적용할 경우 많은 오버헤드가 발생한다. 따라서 이 논문에서는 MANET에서 구성요소간 안전한 통신을 제공하고 비정상 노드를 효율적으로 탐지 관리할 수 있는 Secure Cluster-based MANET(SecCBM)을 제안하였다. SecCBM은 동적인증을 통한 클러스터 기반 계층적 제어 구조를 이용하여 비정상 노드들을 MANET 구성 과정에서 식별하는 예방 단계와 네트워크를 구성하고 있는 노드들간 통신과정에서 발생하는 비정상 노드들을 FC 테이블과 MN 테이블을 이용해 탐지 관리하는 사후 단계로 구성하였다. 이를 통하여 MANET의 통신 안전성과 효율성을 향상시켰으며 시뮬레이션을 통한 성능평가에서 MANET에 적합한 기법임을 확인 할 수 있었다.

• 상하수도학회지
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• 제37권5호
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• pp.261-269
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• 2023

In light of recent social concerns related to issues such as water supply pipe deterioration leading to problems like leaks and degraded water quality, the significance of maintenance efforts to enhance water source quality and ensure a stable water supply has grown substantially. In this study, scan statistic was applied to analyze water quality complaints and water leakage accidents from 2015 to 2021 to present a reasonable method to identify areas requiring improvement in water management. SaTScan, a spatio-temporal statistical analysis program, and ArcGIS were used for spatial information analysis, and clusters with high relative risk (RR) were determined using the maximum log-likelihood ratio, relative risk, and Monte Carlo hypothesis test for I city, the target area. Specifically, in the case of water quality complaints, the analysis results were compared by distinguishing cases occurring before and after the onset of "red water." The period between 2015 and 2019 revealed that preceding the occurrence of red water, the leak cluster at location L2 posed a significantly higher risk (RR: 2.45) than other regions. As for water quality complaints, cluster C2 exhibited a notably elevated RR (RR: 2.21) and appeared concentrated in areas D and S, respectively. On the other hand, post-red water incidents of water quality complaints were predominantly concentrated in area S. The analysis found that the locations of complaint clusters were similar to those of red water incidents. Of these, cluster C7 exhibited a substantial RR of 4.58, signifying more than a twofold increase compared to pre-incident levels. A kernel density map analysis was performed using GIS to identify priority areas for waterworks management based on the central location of clusters and complaint cluster RR data.

• 지능정보연구
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• 제18권4호
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• pp.43-57
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• 2012

제조업에 있어서 판매 후 서비스 건수와 내용 등은 향후 서비스 제공을 위한 자원배분의 효율성 증진과 서비스 품질 향상을 위해서도 매우 중요한 정보이다. 따라서 기업들은 향후 발생하는 판매 후 서비스에 대해 정확히 예측하고 그에 따라 적절히 대처하는 능력을 확보할 필요성이 제조업을 중심으로 증가하고 있다. 그러나 실제로 이들 기업들이 활용하고 있는 서비스 수요예측 방법들은 전통적인 통계적인 예측기법이거나, 시뮬레이션을 기반한 기법들이다. 예를 들면, 전통적인 통계적인 예측기법으로는 회귀분석(regression analysis)의 경우, 다양한 제품모델에 대한 판매 후 서비스 발생 패턴이 선형적인 관계가 매우 적음에도 불구하고 선형으로 가정하여 추정한다는 점과 적정한 회귀식을 가정하여야 되며, 이러한 가정이 실제 경영환경에서는 매우 어렵다는 점 등이 기존의 예측기법들의 한계점으로 지적되고 있다. 본 연구에서는 디지털 TV 모델을 생산 판매 하는 A사의 사례연구를 통하여 최근 인공지능연구에서 각광을 받고 있는 사례기반추론(case-based reasoning; CBR) 기법을 활용한 서비스 수요예측 프레임워크를 제안하고자 한다. 또한, 사례기반추론에서 핵심적인 역할 중 하나인 유사 사례추출 방법에 있어서 가장 일반적인 nearest-neighbor 방법 이외의 유사 사례추출 방법을 제안하고자 한다. 특히, 본 연구에서 제안하는 유사 사례추출 방법은 인공신경망(artificial neural network)을 활용한 자기조직화지도(Self-Organizing Maps : SOM) 군집화 기법을 활용한 유사 사례추출 방식으로 이를 활용한 서비스 수요예측 프레임워크에 구현하고, 실제 기업의 판매 후 서비스 데이터를 활용하여 본 연구에서 제안하는 서비스 수요 예측 프레임워크의 유효성을 실증적으로 검증하고자 한다.

• 한국작물학회지
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• 제68권4호
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• pp.392-401
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• 2023

본 연구에서는 농업부산물인 옥수수 속대의 생리활성 화합물 공급원으로의 잠재적 활용 가능성을 탐색하기 위해 이삭의 성숙 단계에 따른 phytosterol 함량 변화를 측정하였다. 1. 옥수수 이삭의 crude fat 함량 변이는 속대가 3 DAS에서 54 DAS까지 2.51±0.06-0.33±0.04%, 종실은 9 DAS에서 54 DAS까지 1.84±0.04-4.91±0.28%로 나타났으며 종실은 성숙할수록 crude fat 함량이 증가하였고 속대는 반대의 경향을 나타내었다. 2. 옥수수 이삭의 등숙 기간 동안 속대와 종실에서 campesterol, stigmasterol, β-sitosterol은 주요 phytosterol로 검출되었으며, total phytosterol 함량은 속대가 3 DAS에서 54 DAS까지 134.84±4.58-48.86±0.89 mg/100g DW, 종실은 9 DAS에서 54 DAS까지 83.15±2.74-42.12±0.08 mg/100g DW로 생리적 성숙 초기 단계에 가장 높은 함량을 보인 뒤 점차적으로 감소하였다. 3. Hierarchical clustering heatmap analysis와 principal component analysis에서 옥수수 속대와 종실은 생리적 성숙 단계 및 조직 부위에 따라 구분이 되었다. 옥수수 속대를 새로운 phytosterol 공급원으로써 활용하기 위해 함량이 가장 풍부한 시기는 R1-R2 stage이며, 이삭 성숙 전체 단계에서 속대에는 종실보다 많은 phytosterol이 존재하므로 농업부산물인 속대를 새로운 phytosterol 공급원으로 활용할 수 있을 것이다.