• Title/Summary/Keyword: Model-based development process

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Development and Validation of a Machine Learning-based Differential Diagnosis Model for Patients with Mild Cognitive Impairment using Resting-State Quantitative EEG (안정 상태에서의 정량 뇌파를 이용한 기계학습 기반의 경도인지장애 환자의 감별 진단 모델 개발 및 검증)

  • Moon, Kiwook;Lim, Seungeui;Kim, Jinuk;Ha, Sang-Won;Lee, Kiwon
    • Journal of Biomedical Engineering Research
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    • v.43 no.4
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    • pp.185-192
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    • 2022
  • Early detection of mild cognitive impairment can help prevent the progression of dementia. The purpose of this study was to design and validate a machine learning model that automatically differential diagnosed patients with mild cognitive impairment and identified cognitive decline characteristics compared to a control group with normal cognition using resting-state quantitative electroencephalogram (qEEG) with eyes closed. In the first step, a rectified signal was obtained through a preprocessing process that receives a quantitative EEG signal as an input and removes noise through a filter and independent component analysis (ICA). Frequency analysis and non-linear features were extracted from the rectified signal, and the 3067 extracted features were used as input of a linear support vector machine (SVM), a representative algorithm among machine learning algorithms, and classified into mild cognitive impairment patients and normal cognitive adults. As a result of classification analysis of 58 normal cognitive group and 80 patients in mild cognitive impairment, the accuracy of SVM was 86.2%. In patients with mild cognitive impairment, alpha band power was decreased in the frontal lobe, and high beta band power was increased in the frontal lobe compared to the normal cognitive group. Also, the gamma band power of the occipital-parietal lobe was decreased in mild cognitive impairment. These results represented that quantitative EEG can be used as a meaningful biomarker to discriminate cognitive decline.

Formulation and evaluation a finite element model for free vibration and buckling behaviours of functionally graded porous (FGP) beams

  • Abdelhak Mesbah;Zakaria Belabed;Khaled Amara;Abdelouahed Tounsi;Abdelmoumen A. Bousahla;Fouad Bourada
    • Structural Engineering and Mechanics
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    • v.86 no.3
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    • pp.291-309
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    • 2023
  • This paper addresses the finite element modeling of functionally graded porous (FGP) beams for free vibration and buckling behaviour cases. The formulated finite element is based on simple and efficient higher order shear deformation theory. The key feature of this formulation is that it deals with Euler-Bernoulli beam theory with only three unknowns without requiring any shear correction factor. In fact, the presented two-noded beam element has three degrees of freedom per node, and the discrete model guarantees the interelement continuity by using both C0 and C1 continuities for the displacement field and its first derivative shape functions, respectively. The weak form of the governing equations is obtained from the Hamilton principle of FGP beams to generate the elementary stiffness, geometric, and mass matrices. By deploying the isoparametric coordinate system, the derived elementary matrices are computed using the Gauss quadrature rule. To overcome the shear-locking phenomenon, the reduced integration technique is used for the shear strain energy. Furthermore, the effect of porosity distribution patterns on the free vibration and buckling behaviours of porous functionally graded beams in various parameters is investigated. The obtained results extend and improve those predicted previously by alternative existing theories, in which significant parameters such as material distribution, geometrical configuration, boundary conditions, and porosity distributions are considered and discussed in detailed numerical comparisons. Determining the impacts of these parameters on natural frequencies and critical buckling loads play an essential role in the manufacturing process of such materials and their related mechanical modeling in aerospace, nuclear, civil, and other structures.

An Analysis on the Core Competence Through the VRIO Model of CJ CGV (CJ CGV의 VRIO 모델을 통한 핵심역량분석)

  • Kim, En-A
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.3
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    • pp.333-342
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    • 2019
  • The purpose of this study is to compare and analyze the cases of the multiplex cinema industry of CJ CGV, Lotte Cinema and Megabox to study what CJ CGV's innovative core competence is from a management strategy perspective. Through this, the core competence strategies, Value, Rareness, Inimitability, and Organization(VRIO) were analyzed in order to derive from the major success factors based on the expansion process of Cultureplex. According to the analysis results, CJ CGV's differentiated value roots from Cultureplex, which CJ CGV priorities in creating movie theaters a cultural entertainment hub. The ability of CJ CGV in transforming the cinema into a cultural and living playground through technological innovation is it's cutting edge from its competitors under the rareness factor. A CJ CGV attains its inimitability by establishing social brand power as an inclusive social contribution. An organization of CJ CGV is a globalization worldwide. CJ CGV is to increase the brand value of cultural experience movie theaters and enhance customer satisfaction by expanding the use of existing movie theaters and pioneering with innovative development to theaters. As more to be sought out from this thesis, CJ CGV has steadily increased its competitive edge, raising its core competence of business value.

Deep Learning-based Parcel Detection and Classification System Development Research. (딥러닝 기반 택배 탐지 및 분류 시스템 개발 연구)

  • Son, Seongho;Choi, Donggyu;Jang, Jongwook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.323-325
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    • 2021
  • The size of the delivery market in Korea is growing year by year. In recent years, the growth rate has skyrocketed due to the aftermath of the coronavirus. Looking at the domestic delivery market's volume trend in 2020, about 3.4 billion boxes increased by 21% compared to about 2.8 billion boxes last year. In addition, sales amounted to 7.5 trillion won, an increase of about 19% compared to 6.3 trillion won a year earlier. As the delivery market grows, the proportion of courier damage relief is also occurring at a considerable rate. About 33% of 1,000 people have experienced delivery accidents, and about 41% of the week have experienced damage or damage. In this paper, a deep learning model capable of detecting a parcel was created to detect a damaged parcel. A system that can check the performance of this model and detect and classify parcels during the delivery process using a real-time detection camera was studied.

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A Study on the Development of Information Literacy Instruction for University Libraries (대학도서관 정보활용교육 모형 개발에 관한 연구)

  • Chang, Durk-Hyun;Choi, Go-Un
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.19 no.1
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    • pp.37-60
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    • 2008
  • The purpose of this study is to develop a model for information literacy instruction far a university library. It surveyed and analyzed Information Literacy Competency Standards and four Information Problem-Solving Process Models. Through the investigation, this study found out the crucial six elements of information literacy instruction. It includes 1) Information need; 2) Information source; 3) Information seeking; 4) Information evaluation; 5) Information use; and 6) Information ethics. Based on the analysis of the information literacy tutorial of 3 university libraries in the States and Australia, special concerns were paid on investigating the contents of instruction programs. This study proposed the model of information literacy instruction of the university library as a result. It consists of eight steps such as 1) Guide of library facility; 2) Information ecology-the flow of academic information; 3) Information needs-Define the topic; 4) Determine the information sources; 5) Plan the search strategy; 6) Search information; 7) Evaluate Information; and 8) style manual. It is suggested to develop and to improve the information literacy instruction programs in university libraries.

A Development of Integrated Prototype Model for Risk Management of Construction Projects (건설공사의 리스크관리를 위한 통합전산모형 구축)

  • Kim, Chang-Hak;Park, Seo-Young;Kang, In-Seok
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.3D
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    • pp.469-480
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    • 2006
  • The results of the study include a computerized system and a systematic process model for risk management and analysis. This study analyzes the present status of risk management in the construction industry, and then suggests reasonable methods for improved risk management plans. This study defines risk management procedures as preparation, identification, analysis, response and management to manage potential risks in the construction project. The modules for computerizing in this system consist of planning, construction, application of WBS (Work Breakdown Structure) and RBS (Risk Breakdown Structure), and risk analysis. The methodology for analyzing construction risk uses fuzzy theory, and the scope of developed system is focused to the contractors. The risk management system suggested in this study operates on the Internet, for providing contractors with a useful risk management tool by online system, with web-based menus that is helpful for practical application.

ChatGPT-based Software Requirements Engineering (ChatGPT 기반 소프트웨어 요구공학)

  • Jongmyung Choi
    • Journal of Internet of Things and Convergence
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    • v.9 no.6
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    • pp.45-50
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    • 2023
  • In software development, the elicitation and analysis of requirements is a crucial phase, and it involves considerable time and effort due to the involvement of various stakeholders. ChatGPT, having been trained on a diverse array of documents, is a large language model that possesses not only the ability to generate code and perform debugging but also the capability to be utilized in the domain of software analysis and design. This paper proposes a method of requirements engineering that leverages ChatGPT's capabilities for eliciting software requirements, analyzing them to align with system goals, and documenting them in the form of use cases. In software requirements engineering, it suggests that stakeholders, analysts, and ChatGPT should engage in a collaborative model. The process should involve using the outputs of ChatGPT as initial requirements, which are then reviewed and augmented by analysts and stakeholders. As ChatGPT's capability improves, it is anticipated that the accuracy of requirements elicitation and analysis will increase, leading to time and cost savings in the field of software requirements engineering.

Development for Analysis Service of Crowd Density in CCTV Video using YOLOv4 (YOLOv4를 이용한 CCTV 영상 내 군중 밀집도 분석 서비스 개발)

  • Seung-Yeon Hwang;Jeong-Joon Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.3
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    • pp.177-182
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    • 2024
  • In this paper, the purpose of this paper is to predict and prevent the risk of crowd concentration in advance for possible future crowd accidents based on the Itaewon crush accident in Korea on October 29, 2022. In the case of a single CCTV, the administrator can determine the current situation in real time, but since the screen cannot be seen throughout the day, objects are detected using YOLOv4, which learns images taken with CCTV angle, and safety accidents due to crowd concentration are prevented by notification when the number of clusters exceeds. The reason for using the YOLO v4 model is that it improves with higher accuracy and faster speed than the previous YOLO model, making object detection techniques easier. This service will go through the process of testing with CCTV image data registered on the AI-Hub site. Currently, CCTVs have increased exponentially in Korea, and if they are applied to actual CCTVs, it is expected that various accidents, including accidents caused by crowd concentration in the future, can be prevented.

"Belt and Road" and Arbitration Law Teaching and Education System Theory

  • Fuyong, Zhu
    • Journal of Arbitration Studies
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    • v.30 no.3
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    • pp.47-66
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    • 2020
  • Due to the division of China's departmental laws, the disconnect between theory and practice, and the influence of traditional academic thinking on the understanding of the knowledge structure of arbitration legal talents in practice, the construction of law school colleges, teaching teams, and research centers mostly revolves around departmental laws, tearing the connection of the arbitration legal system. The student-centered, process-guaranteed, and result-oriented arbitration master of law training model is "virtualized," the shaping of arbitration professionalism is ignored, the coverage of practical teaching is narrowed, and the arbitration legal profession is mostly formalized. The prevalence of specialized curriculum systems shortage, single faculty, formalized practical teaching, outdated curriculum settings, unsuitable curriculum system design for development, and inaccurate professional curriculum standards and positioning renders it difficult to integrate the "Belt and Road." The cutting-edge, the latest research results, and practical experience cannot reflect the connotation, goals, and requirements of "Entrepreneurship" education, as well as arbitral issues such as the ineffective monitoring of practical education and the inconsistent evaluation of standards and scales. Under the background of the "Belt and Road," based on system theory and practice and through training goals that innovate and initiate organizational form, activity content, management characteristics, assessment and support conditions, etc., the arbitration law teaching curriculum system is gradually improved and integrated. Through the establishment of a "Belt and Road" arbitration case file database and other measures, a complete arbitration law theory and practice teaching guarantee system has been established. Third parties are introduced, arbitration law experimental modules are developed, students are guided how to discover new knowledge, new contents are mastered, solidarity, cooperation, and problem-solving capabilities are cultivated in the practice of the "Belt and Road," and quality education, vocational education, and innovation education are organically integrated. In order to implement the requirements of arbitration law education, innovation development and collaborative management of arbitration law teaching practice base should be cultivated, thus giving full play to the effect of collaborative education between universities and arbitration institutions.

A Framework for the IFC Interoperability Test Method to Support BIM (BIM 지원을 위한 IFC모델 호환성 검사 방법에 관한 기초 연구)

  • Kang, Hoon-Sig;Lee, Ghang;Shin, Yun-Ah
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2008.11a
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    • pp.674-677
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    • 2008
  • The Architecture, engineering, & construction (AEC) industry domains have grown more complex and larger, BIM is a digital representation of a building to facilitate the exchange and development of construction information integration and interoperability. Industry Foundation Classes (IFCs), under development by International Alliance for Interoperability (IAI), represent the part of buildings or elements of a process. IFC has been adopted as a central information repository in order to deliver integrated building information. Other BIM software could open the IFC file, recognize standard objects such as walls, window, and doors as building components. The IFC standard is generally agreed to be of high quality and is widely implemented in software. However, sometimes, information distortion or information toss occurrs during information exchang. The IAI Model Support Group (IAI-MSG) offers the opportunity to certify IFC-compliant applications based on a structuralized approach. However, IFC interoperability error also have occurred by using certificated tools. As project participants exchange BIM information by using BIM software they will need a reliable and efficient exchange of information. In this paper, previous interoperability tests were analyzed, and we propose a new concept in interoperability test.

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