어선은 다른 어선들과 근접 운항하는 경우가 많아 선회 반경이 작고 빠른 방향 전환이 가능해야 한다. 어선은 또한 파도와 조류 의 영향을 많이 받기에 순간적인 조종이 필요한 경우가 많다. 해양교통안전정보시스템에 따르면 10톤 미만의 소형 선박에 대한 사고는 전 체 사고의 69%에 해당하며 접촉, 충돌, 좌초가 주요인인 사고는 낮은 조종성능으로 인한 사고이다. 이에 소형 어선에 대한 조종성능 평가가 필요하다. 본 연구에서는 4.99톤급 소형 어선을 대상선으로 선정하여 CFD 기반 수치해석 프로그램인 STAR-CCM+을 활용하여 주요 제원 변 화에 따른 조종성능 시뮬레이션을 구축하였다. 조종 성능 평가로는 ∘ /∘ zig-zag test, ∘ /∘ zig-zag test, ∘ portside turning test를 진행 하였다. zig-zag test에서는 L/B가 우세한 선형들이 B/D가 우세한 선형들과 Overshoot angle에서는 큰 차이를 보이지 않았지만 빠른 변침 속도 를 보였다. 반대로 Turning test에서는 B/D가 우세한 선형들이 L/B가 우세한 선형들보다 비교적 작은 선회 반경을 보였다. 이를 바탕으로 4.99톤급 어선의 초기설계 단계에서 조종성능을 고려한 주요 제원을 선정할 수 있는 기초자료로 사용될 수 있을 것으로 기대한다.

Following the previous study, which investigated the pharmacological properties of the Technekitty injection (Tc-99m), the toxicity of a single intravenous administration of the Technekitty injection (Tc-99m) and the side effects that may occur at the diagnostic dose were confirmed. The Technekitty injection (Tc-99m) was administered intravenously once at a dose of 0, 0.67, 2.0, and 6.0 mCi/kg to 5 male and female rats per group. Mortality, general symptom observation, and weight measurement were performed for 2 weeks, followed by observation of autopsy findings. There were no deaths, and no statistically significant weight change was observed. No abnormal systemic signs related to the Technekitty injection (Tc-99m) were observed. These results confirmed that Technekitty injection (Tc-99m) can be safely administered intravenously at doses up to 6.0 mCi/kg. Additionally, technetium-99m at an average dose of 2 mCi (74 MBq) has been verified as a diagnostic dose without adverse effects, allowing the Technekitty injection (Tc-99m) to be used safely without side effects at this dosage. This study demonstrates that the Technekitty injection (Tc-99m) has a wide safety margin, supporting its potential for clinical application. Moreover, these findings align with the nonclinical safety standards for radiopharmaceuticals, reinforcing its utility in veterinary medicine. The Technekitty injection (Tc-99m) is expected to be applicable for clinical diagnosis as a veterinary drug in Korea.

Thyroid scanning using technetium-99m (99mTc) is the gold standard for diagnosing feline hyperthyroidism. In cats with an overactive thyroid, a thyroid scan is the most appropriate imaging technique to detect and localize any hyperfunctional adenomatous thyroid tissue. In this study, the pharmacological properties of the Technekitty injection (Tc-99m), developed as a diagnostic agent for feline hyperthyroidism using 99mTc as an active ingredient, were tested in FRTL-5 thyroid follicular cell line and ICR mice. The percentage of cell uptake of the Tc-99m in FRTL-5 thyroid cells was 0.182 ± 0.018%, which was about 6 times higher compared to Clone 9 hepatocytes. This uptake decreased by 38.2% due to competitive inhibition by iodine (sodium iodide). In tissue distribution tests by using ICR mice, the highest distribution was observed in the liver, kidneys, spleen, lungs, and femur at 0.083 hours after administration, and this distribution decreased as the compound was excreted through the kidneys, the primary excretory organ. Maximum distribution was confirmed at 1 hour in the small intestine, 6 hours in the large intestine, and 2 hours in the thyroid gland. Additionally, the total amount excreted through urine and feces over 48 hours (2 days) was 78.80% of the injected dose, with 37.70% (47.84% of the total excretion) excreted through urine and 41.10% (52.16% of the total excretion) through feces. In conclusion, the Tc-99m has the same mechanism of action, potency, absorption, distribution, metabolism, and excretion characteristics as 99mTc used for feline hyperthyroidism in the United States, Europe, and other countries, because the Technekitty injection (Tc-99m) contains 99mTc as its sole active ingredient. Based on these results, the Technekitty injection (Tc-99m) is expected to be safely used in the clinical diagnosis of feline hyperthyroidism.

주로 소형어선에서 발생하고 있는 연근해에서의 전복사고를 예방하기 위해 소형어선의 복원성 평가는 중요하다. 하지만 국내 ｢어선법｣에서는 24m 미만의 소형어선에 대한 복원성 평가 규정이 미비한 실정이다. 2022년 해양수산부에서 안전복지를 강화하여 고시한 표준어선형에 관한 안전성 기준에 따르면, 표준어선형을 따르는 선박은 길이와 무관하게 안전성 기준에 따른 복원성을 가져야 한다. 이에 본 연구에서는 상기 기준을 활용하여 24m 미만에 해당하는 4.99톤급 어선에 대한 복원성 평가를 수행하고 해당 기준으로 복원성을 평가 하는 것이 적합한지 검토하는 것을 목표로 한다. 또한 다양한 상부구조물을 가지는 4.99톤급 소형어선에 대해서도 해당 기준이 유효한지 검토를 수행한다. 이를 위해 어선의 초기횡메타센타높이(GM)를 이용한 초기복원성과 한계경사각에서의 복원정(GZα)을 평가하였다. 그리 고 현재 표준어선형의 소형어선에서 주로 활용되는 상부구조물의 형태를 활용하여 대상선과 동일한 하부 선형과 제원을 가지는 소형어 선 6종을 추가로 선정하여 상부구조물 변화에 따른 복원성 변화도 검토하였다. 4.99톤급의 표준어선형을 대상으로 한 연구 결과, 안전복 지를 강화한 표준어선형에 대한 안전성 기준은 4.99톤급 표준어선형의 어선에도 적용 가능하며, 상부구조물에 변화에 따른 복원성 변화는 크지 않은 것으로 확인되었다.

Topic modeling has been receiving much attention in academic disciplines in recent years. Topic modeling is one of the applications in machine learning and natural language processing. It is a statistical modeling procedure to discover topics in the collection of documents. Recently, there have been many attempts to find out topics in diverse fields of academic research. Although the first Department of Industrial Engineering (I.E.) was established in Hanyang university in 1958, Korean Institute of Industrial Engineers (KIIE) which is truly the most academic society was first founded to contribute to research for I.E. and promote industrial techniques in 1974. Korean Society of Industrial and Systems Engineering (KSIE) was established four years later. However, the research topics for KSIE journal have not been deeply examined up until now. Using topic modeling algorithms, we cautiously aim to detect the research topics of KSIE journal for the first half of the society history, from 1978 to 1999. We made use of titles and abstracts in research papers to find out topics in KSIE journal by conducting four algorithms, LSA, HDP, LDA, and LDA Mallet. Topic analysis results obtained by the algorithms were compared. We tried to show the whole procedure of topic analysis in detail for further practical use in future. We employed visualization techniques by using analysis result obtained from LDA. As a result of thorough analysis of topic modeling, eight major research topics were discovered including Production/Logistics/Inventory, Reliability, Quality, Probability/Statistics, Management Engineering/Industry, Engineering Economy, Human Factor/Safety/Computer/Information Technology, and Heuristics/Optimization.