• Title/Summary/Keyword: support variety

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A Study on the Video Analysis Tool to Support Collaboration for Effective Usability Evaluation (효율적인 사용성 평가를 위해 협력작업을 지원하는 비디오 분석 도구에 관한 연구)

  • 박정순;신수길
    • Archives of design research
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    • v.17 no.3
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    • pp.373-382
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    • 2004
  • Video protocol analysis is a popular and effective technique in many research disciplines including industrial design and HCI for understanding the interactions between people, and between people and machines. Analysing and transcribing video recordings is, however, notoriously time consuming, and a variety of single-user computer based tools have been developed to ease the task. This paper examines collaborative video analysis. The motivation for groupware tools for video analysis is described, and the desirable features of such tools are identified. The following section reviews related work on video analysis and on single-user video analysis tools. The review is used to derive a set of design goals for collaborative video analysis tools. We then detail prototype's user interface, its collaborative facilities, and its implementation. The preliminary evaluation is described prior the conclusions which identify directions for further work.

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Extending the Multidimensional Data Model to Handle Complex Data

  • Mansmann, Svetlana;Scholl, Marc H.
    • Journal of Computing Science and Engineering
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    • v.1 no.2
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    • pp.125-160
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    • 2007
  • Data Warehousing and OLAP (On-Line Analytical Processing) have turned into the key technology for comprehensive data analysis. Originally developed for the needs of decision support in business, data warehouses have proven to be an adequate solution for a variety of non-business applications and domains, such as government, research, and medicine. Analytical power of the OLAP technology comes from its underlying multidimensional data model, which allows users to see data from different perspectives. However, this model displays a number of deficiencies when applied to non-conventional scenarios and analysis tasks. This paper presents an attempt to systematically summarize various extensions of the original multidimensional data model that have been proposed by researchers and practitioners in the recent years. Presented concepts are arranged into a formal classification consisting of fact types, factual and fact-dimensional relationships, and dimension types, supplied with explanatory examples from real-world usage scenarios. Both the static elements of the model, such as types of fact and dimension hierarchy schemes, and dynamic features, such as support for advanced operators and derived elements. We also propose a semantically rich graphical notation called X-DFM that extends the popular Dimensional Fact Model by refining and modifying the set of constructs as to make it coherent with the formal model. An evaluation of our framework against a set of common modeling requirements summarizes the contribution.

INTEGRAL EFFECT TESTS IN THE PKL FACILITY WITH INTERNATIONAL PARTICIPATION

  • Umminger, Klaus;Mull, Thomas;Brand, Bernhard
    • Nuclear Engineering and Technology
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    • v.41 no.6
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    • pp.765-774
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    • 2009
  • For over 30 years, investigations of the thermohydraulic behavior of pressurized-water reactors under accident conditions have been carried out in the PKL test facility at AREVA NP in Erlangen, Germany. The PKL facility models the entire primary side and significant parts of the secondary side of a of pressurized water reactor at a height scale of 1:1. Volumes, power ratings and mass flows are scaled with a ratio of 1:145. The experimental facility consists of four primary loops with circulation pumps and steam generators (SGs) arranged symmetrically around the reactor pressure vessel (RPV). The investigations carried out encompass a very broad spectrum from accident scenario simulations with large, medium, and small breaks, over the investigation of shutdown procedures after a wide variety of accidents, to the systematic investigation of complex thermohydraulic phenomena. The PKL tests began in the mid 1970s with the support of the German Research Ministry. Since the mid 1980s, the project has also been significantly supported by the German PWR operators. Since 2001, 25 partner organizations from 15 countries have taken part in the PKL investigations with the support and mediation of the OECD/ NEA (Nuclear Energy Agency). After an overview of PKL history and a short description of the facility, this paper focuses on the investigations carried out since the beginning of the international cooperation, and shows, by means of some examples, what insights can be derived from the tests.

Ship's Collision Avoidance Support System Using Fuzzy-CBR

  • Park, Gyei-Kark;Benedictos John Leslie RM.
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.5
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    • pp.635-641
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    • 2006
  • Ship's collision avoidance is a skill that masters of merchant marine vessels have acquired through years of experience and that makes them feel at ease to guide their ship out from danger quickly compared to inexperienced officers. Case based reasoning (CBR) uses the same technique in solving tasks that needs reference from variety of situations. CBR can render decision-making easier by retrieving past solutions from situations that are similar to the one at hand and make necessary adjustments in order to adapt them. In this paper, we propose to utilize the advantages of CBR in a support system for ship's collision avoidance while using fuzzy algorithm for its retrieval of similar navigational situations, stored in the casebase, thus avoiding the cumbersome tasks of creating a new solution each time a new situation is encountered. There will be two levels within the Fuzzy-CBR. The first level will identify the dangerous ships and infer the new case. The second level will retrieve cases from casebase and adapt the solution to solve for the output. While CBR's accuracy depends on the efficient retrieval of possible solutions to be adapted from stored cases, fuzzy algorithm will improve the effectiveness of solving the similarity to a new case at hand.

Discourse Analysis of Environmental Regulations and Technological Innovation for Corporate Competitiveness

  • KIM, Won-Seok;CHOI, Choongik
    • East Asian Journal of Business Economics (EAJBE)
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    • v.9 no.4
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    • pp.17-28
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    • 2021
  • Purpose - This article aims to explore the mechanism in which environmental regulations have positive effects on corporate competitiveness through technological innovation. This study also attempts to examine the relationship between environmental regulation and corporate competitiveness from a technological innovation perspective and explore a desirable relationship between those two. Research design, data, and methodology - Discourse analysis and SWOT analysis is used in terms of methodology, and this study is based on literature review theoretically. The methodology is employed in various ways to describe a variety of environmental issues. Result - The results support that technological innovation is able to play a role in coordinating relationship between environmental regulations and corporate competitiveness. The uncertainty and time lag problems innate to technological innovation function as disturbing factors for individual companies to actively increase R&D investment in response to environmental regulations. Environmental regulations may be considered to be working as a factor consolidating corporate competitiveness through technological innovation to respond to the environmental regulations including climate change issue. Conclusion - This study proposes that to achieve two goals of environmental protection and corporate competitiveness consolidation, policy support from various aspects is implied to be required. This implies that environmental regulations and technical innovation must be harmoniously balanced for future corporate success.

Comparative Study of Learning Platform for IT Developers (IT 개발자 대상 학습플랫폼 비교 연구)

  • Lee, Ji-Eun
    • Journal of Information Technology Services
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    • v.20 no.5
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    • pp.147-158
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    • 2021
  • The digital transformation and COVID-19 are also causing major changes in teaching-learning methods. The biggest change is the spread of remote training and the emergence of various innovative learning platforms. Distance education has been criticized for not meeting technology trends and field demands..However, the problem of distance education is being solved through a system that supports various interactions and collaborations and supports customized learning paths. The researcher conducted a case study on domestic and foreign learning platforms that provide non-face-to-face ICT education. Based on the case study results, the researcher presented the functional characteristics of a learning platform that effectively supports non-face-to-face learning. In common, these sites faithfully supported the basic functions of the information system. In addition to learning progress check and learning guidance, some innovative learning platforms were providing differentiated functions in practice support, performance management, mentoring, learning data analysis, curation provision, and CDP support. Most learning platforms supported one-way, superficial interaction. If the platform effectively supports a variety of learning experiences and provides an integrated learning experience thanks to the development of IT technology, user satisfaction with the learning platform, intention to continue learning, and achievement will increase.

Decision support system for underground coal pillar stability using unsupervised and supervised machine learning approaches

  • Kamran, Muhammad;Shahani, Niaz Muhammad;Armaghani, Danial Jahed
    • Geomechanics and Engineering
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    • v.30 no.2
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    • pp.107-121
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    • 2022
  • Coal pillar assessment is of broad importance to underground engineering structure, as the pillar failure can lead to enormous disasters. Because of the highly non-linear correlation between the pillar failure and its influential attributes, conventional forecasting techniques cannot generate accurate outcomes. To approximate the complex behavior of coal pillar, this paper elucidates a new idea to forecast the underground coal pillar stability using combined unsupervised-supervised learning. In order to build a database of the study, a total of 90 patterns of pillar cases were collected from authentic engineering structures. A state-of-the art feature depletion method, t-distribution symmetric neighbor embedding (t-SNE) has been employed to reduce significance of actual data features. Consequently, an unsupervised machine learning technique K-mean clustering was followed to reassign the t-SNE dimensionality reduced data in order to compute the relative class of coal pillar cases. Following that, the reassign dataset was divided into two parts: 70 percent for training dataset and 30 percent for testing dataset, respectively. The accuracy of the predicted data was then examined using support vector classifier (SVC) model performance measures such as precision, recall, and f1-score. As a result, the proposed model can be employed for properly predicting the pillar failure class in a variety of underground rock engineering projects.

TOWARDS A SPATIAL FRAMEWORK FOR SUPPORTING BUILDING CONSTRUCTION INSPECTION

  • Saud Aboshiqah;Bert Veenendaal;Robert Corner
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.558-565
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    • 2013
  • The process and efficiency of monitoring building and construction violations is a concern of the construction industry. The detection of violations requires appropriate and sufficiently accurate spatial information to manage and support a comprehensive inspection process and monitor compliance. A building inspection workflow must extract appropriate spatial and measurement in-formation from a variety of sources, identify potential violations across a range of compliance criteria and determine the quality of resulting inspection reports. This paper presents a framework for supporting building inspections using spatial information and methods to detect construction violations and compliance. Current inspection processes involve issues around the identification of building violations, access to building regulations and existing spatial information, integration of a range of spatial and non-spatial information, and the quality of decisions within the inspection workflows. A survey of building inspectors was conducted and used together with the issues identified to establish the requirements for a spatial inspection framework. The results demonstrate how such a framework can support improved decision-making and reduced fieldwork effort in detecting and measuring the accuracy of building violations involving building placements, street offsets and footprint areas.

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An investigation on the relationship between religion and supports for suicide attacks among citizens in Egypt, Pakistan, and Morocco (종교와 자살테러에 대한 지지의 관계분석: 이집트, 파키스탄, 모로코의 사회조사데이터를 근거로)

  • Kim, Eun-Young
    • Korean Security Journal
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    • no.43
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    • pp.37-65
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    • 2015
  • There has been discussions and investigation on the nexus between religion and citizen's supports for suicide attacks and terrorist groups conducting such acts. In terms of the relationship, there were two potent hypotheses attempting to explain the process and mechanism of the relationship: religious belief hypothesis and coalitional commitment hypothesis. previous studies examined these hypotheses have been carried out across different cultural, religious, and political contexts. Until today, however, there are still lack of concrete evidence, which is generated from empirical studies, supportive evidence for any of these hypotheses. Therefor this study aims to investigate the association between religion and popular support for suicide attacks by using a survey data collected from three middle east countries, Egypt, Morocco, and Pakistan. In analysis, a step-wised regression analysis conducted with a set of variety of variables considered to be related with the association. This study found that variables reflecting religious belief hypothesis, such as prayer to God, religious devotion were unrelated to support for suicide attacks. Yet, prayer time predicted reduced supports for suicide attacks. Further, attendance at religious services, thought to enhance coalitional commitment, predicted support for suicide attacks. Yet, it showed negative association with support for suicide attacks. These findings suggest that regular attendance at religious services and regular prayer have combined effects reducing on the willing to support for suicide martyrdom. However, this study findings affirmatively support for neigher religious belief hypothesis nor coalitional commitment hypothesis. Instead, it suggests the needs for further research examination on the relationship as well as corrections of these hypotheses. Finally, Implications for the research findings for preventing suicide attacks are discussed.

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A Proposal of Smart Speaker Dialogue System Guidelines for the Middle-aged (중년 고령자를 위한 스마트 스피커 대화 체계 가이드라인 제안)

  • Yoon, So-Yeon;Ha, Kwang-Soo
    • The Journal of the Korea Contents Association
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    • v.19 no.9
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    • pp.81-91
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    • 2019
  • Recently, the nation has been suffering from a variety of problems, such as the rapid aging of the population and the weakening of the family's role due to rapid industrialization, such as the problem of supporting the elderly or the decline in the quality of supporting them. Among them, the issue of supporting the sentiment of the elderly is a major issue in terms of the quality of the stimulus. The best solution would be to resolve this issue of emotional support through various physical and human support. However, due to various limitations, access to efficient utilization of resources is being sought, among which support efforts through the convergence of digital technologies need to be noted. In this study, we took note of the problems of aging population shortage due to aging phenomenon and the problems of the emotional side of the problem of declining quality of the service, and analyzed the types of digital technology applied to support the emotional side through the convergence of digital technology. Among them, the Commission proposed emotional support through smart speakers, confirming the possibility of supporting the elderly through smart speakers. In addition, the Commission proposed guidelines for smart speaker communication systems to support the sentiment of older adults by conducting an in-depth interview with the In-Depth interview with the evaluation of the usability of smart speakers for older people. Based on the results of this study, it is expected that it will be the basic data for designing a communication system when developing smart speakers to support the emotions of the elderly.