• Title/Summary/Keyword: Data Matrix

Search Result 2,896, Processing Time 0.029 seconds

A Brief Empirical Investigation of Seaport Clustering by Using Meta-Frontier and Cross-efficiency Models (메타프론티어와 교차효율성 모형을 통한 항만 클러스터링의 실증적 검증소고)

  • Park, Ro-Kyung
    • Korea Trade Review
    • /
    • v.41 no.3
    • /
    • pp.27-42
    • /
    • 2016
  • This study is to investigate seaport clustering by using meta-frontier and cross-efficiency models. Data covers the 13 Asian ports during 2009, 2010 and 2013 with 3 inputs(depth, total area, and number of cranes) and 1 output(TEU). Correlations coefficient from cross-efficiency matrix are used for measuring clustering dendrogram. After that, meta-frontier analysis for investigating whether the clustering using cross-efficiency method increases the meta-efficiency. Empirical main results are as follows: First, group efficiencies of Busan, Incheon, and Gwangyang ports are increased. Second, meta and group efficiencies of China ports are greater than those of Korean ports. Third, distortion of technology gap of Gwangyang is lower than that of Busan and Incheon. Fourth, Gwangyang, clustering with Ningbo, Chingtao, Tokyo and Caosung ports in 2009 and with Dubai port in 2013 can increase the efficiency. Fifth, to enhance the efficiency, Busan port should be clustered to group 2 in 2010 and group 1 in 2013, and Incheon port clustered to group 2 in 2010 and 2013. Fifth, it is empirically investigated that Busan, Incheon and Gwangyang ports can increase the efficiency by using Cross-efficiency and Meta-frontier models. Port policy planner should promote the clustering policy for Busan with Hong Kong, Shanghai, and Singapore, Incheon and Gwangyang with Chingtao, Nagoya, Ningbo, Tokyo, and Kaoshung ports.

  • PDF

A Study on Teaching the Method of Lagrange Multipliers in the Era of Digital Transformation (라그랑주 승수법의 교수·학습에 대한 소고: 라그랑주 승수법을 활용한 주성분 분석 사례)

  • Lee, Sang-Gu;Nam, Yun;Lee, Jae Hwa
    • Communications of Mathematical Education
    • /
    • v.37 no.1
    • /
    • pp.65-84
    • /
    • 2023
  • The method of Lagrange multipliers, one of the most fundamental algorithms for solving equality constrained optimization problems, has been widely used in basic mathematics for artificial intelligence (AI), linear algebra, optimization theory, and control theory. This method is an important tool that connects calculus and linear algebra. It is actively used in artificial intelligence algorithms including principal component analysis (PCA). Therefore, it is desired that instructors motivate students who first encounter this method in college calculus. In this paper, we provide an integrated perspective for instructors to teach the method of Lagrange multipliers effectively. First, we provide visualization materials and Python-based code, helping to understand the principle of this method. Second, we give a full explanation on the relation between Lagrange multiplier and eigenvalues of a matrix. Third, we give the proof of the first-order optimality condition, which is a fundamental of the method of Lagrange multipliers, and briefly introduce the generalized version of it in optimization. Finally, we give an example of PCA analysis on a real data. These materials can be utilized in class for teaching of the method of Lagrange multipliers.

Heterogeneous Sensor Coordinate System Calibration Technique for AR Whole Body Interaction (AR 전신 상호작용을 위한 이종 센서 간 좌표계 보정 기법)

  • Hangkee Kim;Daehwan Kim;Dongchun Lee;Kisuk Lee;Nakhoon Baek
    • KIPS Transactions on Software and Data Engineering
    • /
    • v.12 no.7
    • /
    • pp.315-324
    • /
    • 2023
  • A simple and accurate whole body rehabilitation interaction technology using immersive digital content is needed for elderly patients with steadily increasing age-related diseases. In this study, we introduce whole-body interaction technology using HoloLens and Kinect for this purpose. To achieve this, we propose three coordinate transformation methods: mesh feature point-based transformation, AR marker-based transformation, and body recognition-based transformation. The mesh feature point-based transformation aligns the coordinate system by designating three feature points on the spatial mesh and using a transform matrix. This method requires manual work and has lower usability, but has relatively high accuracy of 8.5mm. The AR marker-based method uses AR and QR markers recognized by HoloLens and Kinect simultaneously to achieve a compliant accuracy of 11.2mm. The body recognition-based transformation aligns the coordinate system by using the position of the head or HMD recognized by both devices and the position of both hands or controllers. This method has lower accuracy, but does not require additional tools or manual work, making it more user-friendly. Additionally, we reduced the error by more than 10% using RANSAC as a post-processing technique. These three methods can be selectively applied depending on the usability and accuracy required for the content. In this study, we validated this technology by applying it to the "Thunder Punch" and rehabilitation therapy content.

Cordycepin Inhibits LPS-induced Cell Migration and Invasion in Human Colorectal Carcinoma HCT116 cells through Down-regulation of Prostaglandin E2-EP4 Receptor (LPS 유도된 HCT116 인간 대장암세포에서 cordycepin의 prostaglandin E2-EP4 receptor 감소 조절을 통한 세포의 이동과 전이 억제 효과)

  • Jung Eun Kim;Bo-Ram Kim;Su Hui Seong;Jin-Ho Kim;Ha-Nul Lee;Chan Seo;Ji Min Jung;Su A Im;Kyung-Min Choi;Jin-Woo Jeong
    • Proceedings of the Plant Resources Society of Korea Conference
    • /
    • 2023.04a
    • /
    • pp.50-50
    • /
    • 2023
  • Prostaglandin E2(PGE2), a major product of cyclooxygenase-2 (COX-2), plays an important role in the carcinogenesis of many solid tumors, including colorectal cancer. Because PGE2 functions by signaling through PGE2 receptors (Eps), which regulate tumor cell growth, invasion, and migration, there has been a growing amount of interest in the therapeutic potential of targeting Eps. In the present study, we investigated the role of EP4 on the effectiveness of cordycepin in inhibititing the migration and invasion of HCT116 human colorectal carcinoma cells. Our data indicate that cordycepin suppressed lipopolysaccharide (LPS)-enhanced cell migration and invasion through the inactivation of matrix metalloproteinases (MMP)-9 as well as the down-regulation of COX-2 expression and PGE2 production. These events were shown to be associated with the inactivation of EP4 and activation of AMP-activated protein kinase (AMPK). Moreover, the AMPK inhibitor, compound C, as well as AMPK knockdown via siRNA, attenuated the cordycepin-induced inhibition of EP4 expression. Cordycepin treatment also reduced the activation of CREB. These findings indicate that cordycepin suppresses the migration and invasion of HCT116 cells. Through modulating EP4 expression and the AMPK-CREB signaling pathway. Therefore, cordycepin has the potential to serve as a potent anti-cancer agent in therapeutic strategies against colorectal cancer metastasis.

  • PDF

Conserved COG Pathways and Genes of 122 Species of Archaea (고세균 122종의 보존적 COG pathways와 유전자)

  • Dong-Geun Lee ;Sang-Hyeon Lee
    • Journal of Life Science
    • /
    • v.33 no.11
    • /
    • pp.944-949
    • /
    • 2023
  • The purpose of this study was to identify conserved metabolic pathways and conserved genes in 122 archaeal species. Using the Clusters of Orthologous Groups of Proteins (COG) database of conserved genes, we analyzed whether 122 species had 63 COG metabolic pathways, the 822 COGs that compose them, and a total of 4,877 COGs. Archaeal ribosomal proteins were the most conserved in metabolic pathways. 46 COGs in seven COG pathways among 63 COG pathways and 20 COGs in others were conserved in 122 species. Some genes involved in cell wall and extracellular matrix synthesis, replication, transcription, translation, and protein metabolism were common to all 122 species. When the distance value of the phylogenetic tree was analyzed at the phylum level or class level, the average was the lowest at the class Halobacteria of the phylum Euryarchaeota. Standard deviation was high for the class Nitosospharia of the phylum Thaumarchaeota, the unclassified members of phylum Thaumarchaeota, the class Halobacteria of the phylum Euryarchaeota, the class Thermoprotei of the phylum Crenarchaeota, and other archaea. Furthermore, the phylogenetic tree analysis revealed six commonalities. The results of this study, along with data on conserved genes, could be used for drug development and gene selection for strain improvement.

Detection of Cold Water Mass along the East Coast of Korea Using Satellite Sea Surface Temperature Products (인공위성 해수면온도 자료를 이용한 동해 연안 냉수대 탐지 알고리즘 개발)

  • Won-Jun Choi;Chan-Su Yang
    • Korean Journal of Remote Sensing
    • /
    • v.39 no.6_1
    • /
    • pp.1235-1243
    • /
    • 2023
  • This study proposes the detection algorithm for the cold water mass (CWM) along the eastern coast of the Korean Peninsula using sea surface temperature (SST) data provided by the Korea Institute of Ocean Science and Technology (KIOST). Considering the occurrence and distribution of the CWM, the eastern coast of the Korean Peninsula is classified into 3 regions("Goseong-Uljin", "Samcheok-Guryongpo", "Pohang-Gijang"), and the K-means clustering is first applied to SST field of each region. Three groups, K-means clusters are used to determine CWM through applying a double threshold filter predetermined using the standard deviation and the difference of average SST for the 3 groups. The estimated sea area is judged by the CWM if the standard deviation in the sea area is 0.6℃ or higher and the average water temperature difference is 2℃ or higher. As a result of the CWM detection in 2022, the number of CWM occurrences in "Pohang-Gijang" was the most frequent on 77 days and performance indicators of the confusion matrix were calculated for quantitative evaluation. The accuracy of the three regions was 0.83 or higher, and the F1 score recorded a maximum of 0.95 in "Pohang-Gijang". The detection algorithm proposed in this study has been applied to the KIOST SST system providing a CWM map by email.

Non-alcoholic Fatty Liver Disease Classification using Gray Level Co-Ocurrence Matrix and Artificial Neural Network on Non-alcoholic Fatty Liver Ultrasound Images (비알콜성 지방간 초음파 영상에 GLCM과 인공신경망을 적용한 비알콜성 지방간 질환 분류)

  • Ji-Yul Kim;Soo-Young Ye
    • Journal of the Korean Society of Radiology
    • /
    • v.17 no.5
    • /
    • pp.735-742
    • /
    • 2023
  • Non-alcoholic fatty liver disease is an independent risk factor for the development of cardiovascular disease, diabetes, hypertension, and kidney disease, and the clinical importance of non-alcoholic fatty liver disease has recently been increasing. In this study, we aim to extract feature values by applying GLCM, a texture analysis method, to ultrasound images of patients with non-alcoholic fatty liver disease. By applying an artificial neural network model using extracted feature values, we would like to classify the degree of fat deposition in non-alcoholic fatty liver into normal liver, mild fatty liver, moderate fatty liver, and severe fatty liver. As a result of applying the GLCM algorithm, the parameters Autocorrelation, Sum of squares, Sum average, and sum variance showed a tendency for the average value of the feature values to increase as it progressed from mild fatty liver to moderate fatty liver to severe fatty liver. The four parameters of Autocorrelation, Sum of squares, Sum average, and sum variance extracted by applying the GLCM algorithm to ultrasound images of non-alcoholic fatty liver disease were applied as inputs to the artificial neural network model. The classification accuracy was evaluated by applying the GLCM algorithm to the ultrasound images of non-alcoholic fatty liver disease and applying the extracted images to an artificial neural network, showing a high accuracy of 92.5%. Through these results, we would like to present the results of this study as basic data when conducting a texture analysis GLCM study on ultrasound images of patients with non-alcoholic fatty liver disease.

Comparative analysis of informationattributes inchemical accident response systems through Unstructured Data: Spotlighting on the OECD Guidelines for Chemical Accident Prevention, Preparedness, and Response (비정형 데이터를 이용한 화학물질 사고 대응 체계 정보속성 비교 분석 : 화학사고 예방, 대비 및 대응을 위한 OECD 지침서를 중심으로)

  • YongJin Kim;Chunghyun Do
    • Journal of Intelligence and Information Systems
    • /
    • v.29 no.4
    • /
    • pp.91-110
    • /
    • 2023
  • The importance of manuals is emphasized because chemical accidents require swift response and recovery, and often result in environmental pollution and casualties. In this regard, the OECD revised OECD Guidelines for the Prevention, Preparedness, and Response to Chemical Accidents (referred to as the OECD Guidelines), in June 2023. Moreover, while existing research primarily raises awareness about chemical accidents, highlighting the need for a system-wide response including laws, regulations, and manuals, it was difficult to find comparative research on the attributes of manuals. So, this paper aims to compare and analyze the second and third editions of the OECD Guidelines, in order to uncover the information attributes and implications of the revised version. Specifically, TF-IDF (Term Frequency-Inverse Document Frequency) was applied to understand which keywords have become more important, and Word2Vec was applied to identify keywords that were used similarly and those that were differentiated. Lastly, a 2×2 matrix was proposed, identifying the topics within each quadrant to provide a deeper comparison of the information attributes of the OECD Guidelines. This study offers a framework to help researchers understand information attributes. From a practical perspective, it appears valuable for the revision of standard manuals by domestic government agencies and corporations related to chemistry.

An Analysis of IPA for the Improvement of University Start-up Support System: Focusing on the Case of the D University (대학 창업지원제도 개선방안 도출을 위한 IPA분석: D대학 사례를 중심으로)

  • Nam Jung-Min;You, Hyun-Kyung;Kim, Yun-Hee;Kang, Eun-Jeong;Lee, Hyun-Seok;Jang, Kyoung-Hwa;Kim, Su-Jin
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
    • /
    • v.17 no.2
    • /
    • pp.53-64
    • /
    • 2022
  • The purpose of this study is to analyze the difference in importance and performance of the university start-up support system focusing on D university students to grasp the perception of the start-up support system provided the university from the perspective of students who are real users. Through this, a plan for qualitative growth and advancement of the university start-up system was derived using the IPA (importance-performance analysis) analysis. The findings are as follows. The importance of all elements of university start-up education and start-up support system is higher than the performance, which means that the start-up education and support programs currently implemented by universities are recognized as important, but do not play a big role in terms of performance for students. In addition, the highest priority factors for improvement in the importance-performance matrix were funding and investment support, start-up space and facilities support, management advisory, patent and intellectual property support, and entrepreneurship field practice. Therefore, This study can be used as objective data to identify the factors that universities should focus on and establish a start-up support system from a long-term perspective, and to build and operate a start-up support system that reflects the needs of students.

A Study on the Golf Course Selection Attributes, Revisit and Recommendation Intention of Chinese Golfer by IPA (IPA기법을 이용한 중국인 골프장 이용객의 골프장 선택속성과 재방문 및 추천의도에 관한 연구)

  • Sang Lim;Sang-Woo Cho
    • Journal of the Korean Applied Science and Technology
    • /
    • v.40 no.4
    • /
    • pp.710-723
    • /
    • 2023
  • The purpose of this study is to investigate the effect on the revisit intention and recommendation intention on the golf course selection attribute factors of Chinese golf course users using IPA. In order to carry out this study, a survey was conducted on 388 Chinese golfers, data processing and IPA analysis were conducted, and the following conclusions were obtained. First, the importance of the selection attribute was the highest in employee etiquette, and the price of restaurants and food and beverage was the highest in satisfaction. Second, as a result of the IPA matrix analysis, there were 8 selection attributes for continuous maintenance, 14 for concentration improvement, 5 for low priority, and 3 for excessive effort avoidance. Third, cost, accessibility, course facilities, auxiliary facilities, caddy expertise, and satisfaction with user management were found to affect both revisit and recommendation intentions. Since this study was limited to Chinese golfers, there may be differences in comparing the results with previous studies conducted in other countries on golf culture. Therefore, studies considering cultural diversity should be conducted in the future.