• 한국컴퓨터정보학회논문지
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• 제27권4호
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• pp.213-221
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• 2022

본 연구의 목적은 아동의 스마트폰 의존도에 따른 학교생활 적응과 학업수행능력 차이를 분석함으로써 스마트기기 과의존 문제를 예방하고 개선할 수 있는 방안을 모색하는 데 있다. 이를 위해 한국아동패널조사 중 12차 년도 초등학교 5학년 학생의 자료를 추출하여 활용하였다. 수집된 자료는 비계층적 군집화분석(K-means), 일원변랑분석(One-way ANOVA)과 사후검증(Scheffé test)를 실시하여 분석하였다. 연구결과는 다음과 같다. 첫째, 스마트기기 의존과 학교적응 및 학업수행능력은 부적 상관관계가 있는 것으로 나타났다. 둘째, 스마트기기의 의존도가 높은 잠재적 위험군과 고위험군의 학생이 안전군의 학생과 비교해 학교적응이 유의하게 낮은 것으로 나타났다. 셋째, 고위험군의 학생이 잠재적 위험군과 일반군의 학생과 비교해 학업수행능력이 유의하게 낮게 나타났다. 이와 같은 연구결과를 바탕으로 스마트기기 과의존 초등학생을 위해서는 다양한 학습지원과 더불어 학교생활 적응 상담 지원 같은 국가 차원의 노력이 필요함을 제언하였다.

• 문화기술의 융합
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• 제8권2호
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• pp.379-384
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• 2022

무선 센서 네트워크에서는 직접 접근이 어려운 환경에 대량으로 센서 노드들이 배치된다. 배터리 교체나 재충전 등 전력 공급이 어렵다. 에너지를 센서 노드와 같이 사용하는 것이 매우 중요하다. 따라서, 네트워크의 수명을 늘리기 위해 중요한 고려 사항은 각 센서 노드의 에너지 소비를 최소화하는 것이다. 무선 센서 노드의 에너지가 에너지를 다하여 방전되면 센서 노드의 제 역할을 할 수 없으며, 네트워크 내 노드의 일정량(50% 또는 80%) 이상이 소진되면 네트워크가 제 역할을 하지 못한다. 따라서 노드의 에너지 소비를 최소화하고 네트워크를 장기간 유지하기 위해 다양한 프로토콜에서 제안된 방법이다. 우리는 클러스터의 중심점과 잔류 에너지를 고려하고 플롯 포인트와 K-평균을 고려한다(WSN은 최적의 클러스터링 클러스터링을 제안한다). KOCED 프로토콜에 대한 성능 평가를 하고자한다. 최근 머신러닝 방법 중 하나인 K-평균 알고리즘을 적용한 프로토콜을 비교하고 성능 평가 요소를 제시하고자 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권12호
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• pp.3836-3854
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• 2022

The student group division is benefit for universities to do the student management based on the group profile. With the widespread use of student smart cards on campus, especially where students living in campus residence halls, students' daily activities on campus are recorded with information such as smart card swiping time and location. Therefore, it is feasible to depict the students with the daily activity data and accordingly group students based on objective measuring from their campus behavior with some regular student attributions collected in the management system. However, it is challenge in feature representation due to diverse forms of the student data. To effectively and comprehensively represent students' behaviors for further student group division, we proposed to adopt activity data from student smart cards and student attributes as input data with taking account of activity and attribution relationship types from different perspective. Specially, we propose a novel student group division method based on a multi-view student attribute heterogeneous information network (MSA-HIN). The network nodes in our proposed MSA-HIN represent students with their multi-dimensional attribute information. Meanwhile, the edges are constructed to characterize student different relationships, such as co-major, co-occurrence, and co-borrowing books. Based on the MSA-HIN, embedded representations of students are learned and a deep graph cluster algorithm is applied to divide students into groups. Comparative experiments have been done on a real-life campus dataset collected from a university. The experimental results demonstrate that our method can effectively reveal the variability of student attributes and relationships and accordingly achieves the best clustering results for group division.

• BMB Reports
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• 제56권2호
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• pp.78-83
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• 2023

Chronic myeloid leukemia (CML) has a markedly improved prognosis with the use of breakpoint cluster region-abelson 1 (BCR-ABL1) tyrosine kinase inhibitors (BCR-ABL1 TKIs). However, approximately 40% of patients are resistant or intolerant to BCR-ABL1 TKIs. Hypoxia-inducible factor 1α (HIF-1α) is a hypoxia response factor that has been reported to be highly expressed in CML patients, making it a therapeutic target for BCR-ABL1 TKI-sensitive CML and BCR-ABL1 TKI-resistant CML. In this study, we examined whether HIF-1α inhibitors induce cell death in CML cells and BCR-ABL1 TKI-resistant CML cells. We found that echinomycin and PX-478 induced cell death in BCR-ABL1 TKIs sensitive and resistant CML cells at similar concentrations while the cell sensitivity was not affected with imatinib or dasatinib in BCR-ABL1 TKIs resistant CML cells. In addition, echinomycin and PX-478 inhibited the c-Jun N-terminal kinase (JNK), Akt, and extracellular-regulated protein kinase 1/2 (ERK1/2) activation via suppression of BCR-ABL1 and Met expression in BCR-ABL1 sensitive and resistant CML cells. Moreover, treatment with HIF-1α siRNA induced cell death by inhibiting BCR-ABL1 and Met expression and activation of JNK, Akt, and ERK1/2 in BCR-ABL1 TKIs sensitive and resistant CML cells. These results indicated that HIF-1α regulates BCR-ABL and Met expression and is involved in cell survival in CML cells, suggesting that HIF-1α inhibitors induce cell death in BCR-ABL1 TKIs sensitive and resistant CML cells and therefore HIF-1α inhibitors are potential candidates for CML treatment.

• 한국항행학회논문지
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• 제27권2호
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• pp.167-172
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• 2023

대한민국 해군이 운영하는 P-3C 해상초계기에는 전술데이터 수집을 위한 다양한 센서 장치(LRUs, line replace units)들이 탑재 되어 있다. 센서 장치의 특성에 따라 IEEE 802.3, MIL-STD-1553A/B, ARINC-429 등 각기 다른 다양한 통신 프로토콜로 운영된다. 그리고 수집된 전술데이터는 임무조작사들을 위한 전술컴퓨터(tactical station)에서 처리가 되며, 이 전술컴퓨터는 기가비트 이더넷을 주축으로 한 클러스터링 네트워크를 구성하고 분산처리방식으로 운영이 된다. 센서 장치와의 원활한 통신을 위해 특정 전술 컴퓨터는 센서 장치를 위한 주변 장치(예: ARINC-429 interface card)를 별도로 탑재한다. 문제는 이 특정 장치의 주변장치 제어와 통신 중계에 따른 전체 분산처리의 성능을 떨어트리는 단점이 발생하며, 심지어 해당 전술컴퓨터의 동작 정지는 관련 센서 장치와 통신을 두절시키는 문제를 갖는다. 본 논문에서는 이를 해결하기 위해 별도의 중계기를 탑재하는 방법을 제안하며, 이 중계기의 동작 결과를 통해 제안 적용의 타당성을 입증한다.

• 한국의류산업학회지
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• 제25권1호
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• pp.52-61
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• 2023

This study aimed to present data for the development of a shoe which is suitable for plus-size men (BMI 25kg/m² or higher) and to analyze the characteristics of each type of foot. The results of the study are as follows. To assess foot shape in relation to weight gain, participants were categorized into normal weight, overweight, and obese weight groups, according to their BMI indexes. Those in the normal weight group exhibited a smaller value than the overweight or obese weight group in all items. As a result of the cluster analysis, by type of foot, of the obese men category, men were classified into four BMI index groups: members of the type 1 group had a BMI index of 157 (18.4% of total sample), while for type 2 the figure was 213 (25.0% of sample), for type 3 it was 259 (30.4%), and for type 4 it stood at 224 (26.3% of total sample). Those from the type 1 group had thin ankles with narrow toes and flattened sides. Type 2 group members had thick ankles with well-developed outer feet and thick sides. Those within the type 3 group had medium-thick ankles with narrow feet but wide inner feet. Finally, those in the type 4 group had feet with a slanted side, as well as thick ankles, wide feet, and flat sides. Among these categories, the type 3 group members indicated the highest distribution.

• 무역학회지
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• 제46권5호
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• pp.65-81
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• 2021

The technological development in the era of the 4th industrial revolution is changing the paradigm of various industries. Various technologies such as big data, cloud, artificial intelligence, virtual reality, and the Internet of Things are used, creating synergy effects with existing industries, creating radical development and value creation. Among them, the logistics sector has been greatly influenced by quantitative data from the past and has been continuously accumulating and managing data, so it is highly likely to be linked with big data analysis and has a high utilization effect. The modern advanced technology has developed together with the data mining technology to discover hidden patterns and new correlations in such big data, and through this, meaningful results are being derived. Therefore, data mining occupies an important part in big data analysis, and this study tried to analyze data mining techniques that can contribute to the logistics field and common logistics using these data mining technologies. Therefore, by using the AHP technique, it was attempted to derive priorities for each type of efficient data mining for logisticalization, and R program and R Studio were used as tools to analyze this. Criteria of AHP method set association analysis, cluster analysis, decision tree method, artificial neural network method, web mining, and opinion mining. For the alternatives, common transport and delivery, common logistics center, common logistics information system, and common logistics partnership were set as factors.

• 아태비즈니스연구
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• 제14권3호
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• pp.241-250
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• 2023

Purpose - The purpose of this study was to investigate the perception of 'unmanned cafes' on the network through big data analysis, and to identify the latest trends in rapidly changing consumer perception. Based on this, I would like to suggest that it can be used as basic data for the revitalization of unmanned cafes and differentiated marketing strategies. Design/methodology/approach - This study collected documents containing unmanned cafe keywords for about three years, and the data collected using text mining techniques were analyzed using methods such as keyword frequency analysis, centrality analysis, and keyword network analysis. Findings - First, the top 10 words with a high frequency of appearance were identified in the order of unmanned cafes, unmanned cafes, start-up, operation, coffee, time, coffee machine, franchise, and robot cafes. Second, visualization of the semantic network confirmed that the key keyword "unmanned cafe" was at the center of the keyword cluster. Research implications or Originality - Using big data to collect and analyze keywords with high web visibility, we tried to identify new issues or trends in unmanned cafe recognition, which consists of keywords related to start-ups, mainly deals with topics related to start-ups when unmanned cafes are mentioned on the network.

• 한국경제지리학회지
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• 제26권3호
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• pp.256-273
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• 2023

본 연구는 2009년부터 2021년까지 IMF의 CDIS(Coordinated Direct Investment Survey) 자료를 이용하고 사회 네트워크 분석 방법을 활용하여 글로벌 해외직접투자 네트워크의 변화를 분석하였다. 주요 분석 결과는 다음과 같다. 첫째, 코로나19 팬데믹 이후 국가 간 FDI 관계의 긴밀성이 약화되고, 상호 관계 활동성이 축소되었다. 둘째, 글로벌 해외직접투자 네트워크에서 가장 영향력이 있는 국가는 미국, 네덜란드, 영국 등인 것으로 나타났다. 셋째, 불안정한 글로벌 경제 환경 속에서 중국의 연결 중심성이 크게 변화하였다. 넷째, 해외직접투자 네트워크의 클러스터와 지역 간에는 유의미하게 연관성이 있는 것으로 나타났으며, 긴밀하게 연결되어 있는 개별 국가들의 투자 파트너들은 시간의 흐름에 따라 차별적인 특징을 보인다.

• Journal of Veterinary Science
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• 제25권3호
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• pp.35.1-35.13
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• 2024

Importance: Experimental autoimmune encephalomyelitis (EAE) is an animal model of multiple sclerosis characterized by inflammation within the central nervous system. However, inflammation in non-neuronal tissues, including the lungs, has not been fully evaluated. Objective: This study evaluated the inflammatory response in lungs of EAE mice by immunohistochemistry and histochemistry. Methods: Eight adult C57BL/6 mice were injected with myelin oligodendrocyte glycoprotein_35-55 to induce the EAE. Lungs and spinal cords were sampled from the experimental mice at the time of sacrifice and used for the western blotting, histochemistry, and immunohistochemistry. Results: Histopathological examination revealed inflammatory lesions in the lungs of EAE mice, characterized by infiltration of myeloperoxidase (MPO)- and galectin-3-positive cells, as determined by immunohistochemistry. Increased numbers of collagen fibers in the lungs of EAE mice were confirmed by histopathological analysis. Western blotting revealed significantly elevated level of osteopontin (OPN), cluster of differentiation 44 (CD44), MPO and galectin-3 in the lungs of EAE mice compared with normal controls (p < 0.05). Immunohistochemical analysis revealed both OPN and CD44 in ionized calcium-binding adapter molecule 1-positive macrophages within the lungs of EAE mice. Conclusions and Relevance: Taken together, these findings suggest that the increased OPN level in lungs of EAE mice led to inflammation; concurrent increases in proinflammatory factors (OPN and galectin-3) caused pulmonary impairment.