• 제목/요약/키워드: Three-Dimension

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The Linkage Between Issue Ownership Perception and Campaign Advertising: A Case Study of the 2012 Taiwan Presidential Election

  • Yu, Eric Chen-hua;Hsu, Pei-chen
    • Asian Journal for Public Opinion Research
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    • 제7권1호
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    • pp.23-39
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    • 2019
  • Assuming that a political party has a strong incentive to gain votes via issue setting as part of its campaign strategy, this study utilized a Web experimental survey to explore the extent to which three issue-related campaign advertising strategies - namely, issue ownership, issue convergence, and issue trespassing - affected voters' perceptions toward parties' issue-handling capabilities. Our empirical results show that issue ownership perceptions exist in Taiwan. In the 2012 Taiwan presidential election, as issue ownership advertisements may reinforce voters' beliefs regarding parties' issue-handling capabilities, issue trespassing advertising may improve a party's image on the disadvantageous issue dimension. At least our data shows that the Kuomintang's (KMT) advertisements have both effects.

A Video Traffic Flow Detection System Based on Machine Vision

  • Wang, Xin-Xin;Zhao, Xiao-Ming;Shen, Yu
    • Journal of Information Processing Systems
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    • 제15권5호
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    • pp.1218-1230
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    • 2019
  • This study proposes a novel video traffic flow detection method based on machine vision technology. The three-frame difference method, which is one kind of a motion evaluation method, is used to establish initial background image, and then a statistical scoring strategy is chosen to update background image in real time. Finally, the background difference method is used for detecting the moving objects. Meanwhile, a simple but effective shadow elimination method is introduced to improve the accuracy of the detection for moving objects. Furthermore, the study also proposes a vehicle matching and tracking strategy by combining characteristics, such as vehicle's location information, color information and fractal dimension information. Experimental results show that this detection method could quickly and effectively detect various traffic flow parameters, laying a solid foundation for enhancing the degree of automation for traffic management.

인공지지체 불량 검출을 위한 딥러닝 모델 성능 비교에 관한 연구 (A Comparative Study on Deep Learning Models for Scaffold Defect Detection)

  • 이송연;허용정
    • 반도체디스플레이기술학회지
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    • 제20권2호
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    • pp.109-114
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    • 2021
  • When we inspect scaffold defect using sight, inspecting performance is decrease and inspecting time is increase. We need for automatically scaffold defect detection method to increase detection accuracy and reduce detection times. In this paper. We produced scaffold defect classification models using densenet, alexnet, vggnet algorithms based on CNN. We photographed scaffold using multi dimension camera. We learned scaffold defect classification model using photographed scaffold images. We evaluated the scaffold defect classification accuracy of each models. As result of evaluation, the defect classification performance using densenet algorithm was at 99.1%. The defect classification performance using VGGnet algorithm was at 98.3%. The defect classification performance using Alexnet algorithm was at 96.8%. We were able to quantitatively compare defect classification performance of three type algorithms based on CNN.

디지털그림자노동의 분류와 동태성 및 연구 방향 (Classification, Dynamics, and Research Direction in Digital Shadow Work)

  • 이웅규
    • 한국정보시스템학회지:정보시스템연구
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    • 제30권1호
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    • pp.105-121
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    • 2021
  • Purpose Today, through digital services, many people enjoy a conveient and comfortable life. Nevertheless, it is easy to find people in our daily lives who are buried in work without any payment that we did not do before digital services. Such un-payed works under digital environment are called digital shadow works. The purpose of this study is to classification and dynamics of digital shadow works and to suggest research direction. Design/methodology/approach Based on two dimension, voluntary participation ('should' type and 'want' type) and work orientation (management-operation), digital shadow works were classified into four categories - chore, makeup, routine, and quest. Findings In digital shadow work there are four types of dynamics - routine and quest, makeup and chore, makeup and quest, and quest and actions in offline. According to the classification and analysis of dynamics, three research directions in digital shadow work are suggested and discussed- digital shadow works operation mechanism considering dynamics, expansion of existing user theories based on survey method by digital shadow works and social influences by digital shadow works.

THE MODULI SPACES OF LORENTZIAN LEFT-INVARIANT METRICS ON THREE-DIMENSIONAL UNIMODULAR SIMPLY CONNECTED LIE GROUPS

  • Boucetta, Mohamed;Chakkar, Abdelmounaim
    • 대한수학회지
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    • 제59권4호
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    • pp.651-684
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    • 2022
  • Let G be an arbitrary, connected, simply connected and unimodular Lie group of dimension 3. On the space 𝔐(G) of left-invariant Lorentzian metrics on G, there exists a natural action of the group Aut(G) of automorphisms of G, so it yields an equivalence relation ≃ on 𝔐(G), in the following way: h1 ≃ h2 ⇔ h2 = 𝜙*(h1) for some 𝜙 ∈ Aut(G). In this paper a procedure to compute the orbit space Aut(G)/𝔐(G) (so called moduli space of 𝔐(G)) is given.

WEAKLY EQUIVARIANT CLASSIFICATION OF SMALL COVERS OVER A PRODUCT OF SIMPLICIES

  • Ilhan, Asli Guclukan;Gurbuzer, Sabri Kaan
    • 대한수학회지
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    • 제59권5호
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    • pp.963-986
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    • 2022
  • Given a dimension function 𝜔, we introduce the notion of an 𝜔-vector weighted digraph and an 𝜔-equivalence between them. Then we establish a bijection between the weakly (ℤ/2)n-equivariant homeomorphism classes of small covers over a product of simplices ∆𝜔(1) × ⋯ × ∆𝜔(m) and the set of 𝜔-equivalence classes of 𝜔-vector weighted digraphs with m-labeled vertices, where n is the sum of the dimensions of the simplicies. Using this bijection, we obtain a formula for the number of weakly (ℤ/2)n-equivariant homeomorphism classes of small covers over a product of three simplices.

Thermal buckling and stability of laminated plates under non uniform temperature distribution

  • Widad Ibraheem Majeed;Ibtehal Abbas Sadiq
    • Steel and Composite Structures
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    • 제47권4호
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    • pp.503-511
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    • 2023
  • Stability of laminated plate under thermal load varied linearly along thickness, is developed using a higher order displacement field which depend on a parameter "m", whose value is optimized to get results closest to three-dimension elasticity results. Hamilton, s principle is used to derive equations of motion for laminated plates. These equations are solved using Navier-type for simply supported boundary conditions to obtain non uniform critical thermal buckling and fundamental frequency under a ratio of this load. Many design parameters of cross ply and angle ply laminates such as, number of layers, aspect ratios and E1/E2 ratios for thick and thin plates are investigated. It is observed that linear and uniform distribution of temperature reduces plate frequency.

국제비즈니스에서 문화간 역량과 문화간 훈련 (Intercultural Competence and Intercultural Training in International Business)

  • 조호현
    • 이베로아메리카
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    • 제13권1호
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    • pp.351-388
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    • 2011
  • Many global business failures have been ascribed to a lack of intercultural competence, especially to a lack of an adequate conceptualization and definition of intercultural competence, focusing instead on the knowledge, skills, and attributes that appear to be its antecedents. Intercultural competence should be perceived as multifaceted important components of global management capabilities. Depending on the related concepts of intercultural competence, such as global mindset, intercultural sensitivity, and cultural intelligence, dynamic aspects of intercultural competence as learning process are suggested. Also, the domain of intercultural competence in the context of global management or business comprised three dimensions - perception management, relationship management, and self management. Each dimension is characterized by facets that further delineate aspects of intercultural competence. With respect to the domain of intercultural competence, appropriateintercultural training methods should be designed. In practice, human resource managers may benefit from gaining knowledge about which measures to use for identifying employee's weakness in intercultural competence in order to create appropriate training programs.

Collaboration Scaffolding in Computer-supported Collaborative Learning Environment

  • Lee, Jihyun;Rha, Ilju
    • Educational Technology International
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    • 제7권1호
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    • pp.39-57
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    • 2006
  • Supporting individual or group learners through designing effective learning environment has been major concern for instructional technologists. In CSCL environment, the effectiveness of learning depends not only on the design of the learning incidences but also on that of psychological environment because in CSCL the learners encounter virtually a new environment deviate from the ordinary physical world. CSCL is one of the most demanding environment for learners and thus it requires a highly refined learner support mechanisms. The purpose of the research was to devise conceptual tools for supporting learners in CSCL environment. Especially, the researchers tried to develop special kinds of scaffolding that directly support the collaborative practice in the social and psychological dimension of the learner. Body of literature on scaffolding has been reviewed and effective CSCL environments were observed and analyzed. As a result of the study, the research proposes a new type of scaffolding, named as "collaboration scaffolding" as a conceptual tool for supporting learners in CSCL environment. Also the research suggests three subtypes of scaffolds as the most typical collaboration scaffolding; emotional scaffolds, facilitative scaffolds, and exploratory scaffolds.

Classification of Network Traffic using Machine Learning for Software Defined Networks

  • Muhammad Shahzad Haroon;Husnain Mansoor
    • International Journal of Computer Science & Network Security
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    • 제23권12호
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    • pp.91-100
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    • 2023
  • As SDN devices and systems hit the market, security in SDN must be raised on the agenda. SDN has become an interesting area in both academics and industry. SDN promises many benefits which attract many IT managers and Leading IT companies which motivates them to switch to SDN. Over the last three decades, network attacks becoming more sophisticated and complex to detect. The goal is to study how traffic information can be extracted from an SDN controller and open virtual switches (OVS) using SDN mechanisms. The testbed environment is created using the RYU controller and Mininet. The extracted information is further used to detect these attacks efficiently using a machine learning approach. To use the Machine learning approach, a dataset is required. Currently, a public SDN based dataset is not available. In this paper, SDN based dataset is created which include legitimate and non-legitimate traffic. Classification is divided into two categories: binary and multiclass classification. Traffic has been classified with or without dimension reduction techniques like PCA and LDA. Our approach provides 98.58% of accuracy using a random forest algorithm.