• Journal of Wellbeing Management and Applied Psychology
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• v.4 no.4
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• pp.31-34
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• 2021

Purpose: The purpose of this study is to review health-care program using the recent robotic horse-riding technology and its clinical effects for chronic low back pain. Research design, data and methodology: Recent clinical articles were determined under three inclusion criteria for in-depth review: 1) article that is published within 1 year, 2) article that includes the detailed explanation of health-care program using robotic horse-riding, 3) the article that deals with chronic low back pain during more than 6 months. Results: As a result, the finally-determined two articles demonstrated the clinical effects of robotic horse-riding statistically on pain intensity, low back muscle strength, spinal alignment, and fear-avoidance belief. Conclusions: After in-depth review, I concluded that health-care program using robotic horse-riding for chronic low back pain needs to be provided at low-intensity (e.g. less than 6km/h horse walking program) in the beginning of health-care for improving their motor control ability, then, at the increased intensity for strengthening core muscles.

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.345-351
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• 2021

This study is designed to determine how to identify misleading news articles based on natural language processing on Artificial Intelligence & Bigdata. A misleading news discrimination system and method on natural language processing is initiated according to an embodiment of this study. The natural language processing-based misleading news identification system, which monitors the misleading vocabulary database, Internet news articles, collects misleading news articles, extracts them from the titles of the collected misleading news articles, and stores them in the misleading vocabulary database. Therefore, the use of the misleading news article identification system and methods in this study does not take much time to judge because only relatively short news titles are morphed analyzed, and the use of a misleading vocabulary database provides an effect on identifying misleading articles that attract readers with exaggerated or suggestive phrases. For the aim of our study, we propose news article identification methods in natural language processing on Artificial Intelligence & Bigdata.

• ETRI Journal
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• v.41 no.5
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• pp.684-695
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• 2019

In a cloud environment, performance degradation, or even downtime, of virtual machines (VMs) usually appears gradually along with anomalous states of VMs. To better characterize the state of a VM, all possible performance metrics are collected. For such high-dimensional datasets, this article proposes a feature extraction algorithm based on unsupervised fuzzy linear discriminant analysis with kernel (UFKLDA). By introducing the kernel method, UFKLDA can not only effectively deal with non-Gaussian datasets but also implement nonlinear feature extraction. Two sets of experiments were undertaken. In discriminability experiments, this article introduces quantitative criteria to measure discriminability among all classes of samples. The results show that UFKLDA improves discriminability compared with other popular feature extraction algorithms. In detection accuracy experiments, this article computes accuracy measures of an anomaly detection algorithm (i.e., C-SVM) on the original performance metrics and extracted features. The results show that anomaly detection with features extracted by UFKLDA improves the accuracy of detection in terms of sensitivity and specificity.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.34 no.7
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• pp.69-78
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• 2018

The purpose of this article is: firstly, to survey architect Rem Koolhaas' preservation theory by reviewing his essays, books, exhibitions, and research projects focusing on preservation-related issues; and secondly, to formally analyse OMA's remodeling projects from 1970's to the present. From this analysis, this article tries to classify OMA's remodeling projects into four distinct categories and to establish, respectively, four generally-applicable remodeling strategies: 1)'Interior-oriented', 2)'Juxtaposition', 3)'Infill' and 4)'Cohesion.' Finally, this article argues that these remodeling strategies can be interpreted as a consistent pursuit of integration of various programmatic elements.

• The Journal of Economics, Marketing and Management
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• v.7 no.1
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• pp.39-50
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• 2019

Purpose - The article views the theoretical basis of adaptation concentric matrix models in the analysis of the financial condition of the organization. Presented the elements counting procedures in the assessment of economic stability. Research design, data, and Methodology - Used the economic indicates in the concentric matrix models. The article views the specific using the concentric matrix models in the analysis of the financial condition of the organization. Results - The concentric matrix models can be adaptation to the analysis of financial conditions of organizations and to the comparative analysis. In the process of analysis of economic stability can be used "a field of efficiency". The classical variant of methods is transformed. The detailed assessment of influence of individual factors defined the additional methods. Conclusions - In the article the methods are demonstrated on the material of organization (Hyundai Elevator Co, China Communications Construction Company).

• International Journal of Contents
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• v.17 no.1
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• pp.27-36
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• 2021

Information design is a new scientific subject, which was named in the 20th century. The design methods of information design and the display of information are continually evolving with the change in the world. While sorting out the background and concept of information design, this article aims to identify the issues of information design. One issue is that environmental information design is a vague concept. Thus, leading to this type of information design is without any comprehensive analysis. Second, the impact of culture has not received adequate attention. This article is based on the Japanese Wabi-sabi culture. It analyzes the impact of culture on information design. The article deeply explores the role of Wabi-sabi in information design through case studies, and it reflects the characteristics of design products by culture.

• Journal of Public Diplomacy
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• v.1 no.2
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• pp.75-116
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• 2021

This study argues that scholars lack an adequate conceptualization of the strategic use of social media framing by Ministries of Foreign Affairs (MFAs) during crises. As a theoretical starting point, this article employs the concept of soft disempowerment to suggest that MFAs may use online framing to limit an adversary's range of possible actions during a crisis by depicting that adversary as violating norms and values deemed desirable by the international community. Next, the article introduces the concept of mutually assured delegitimization (MAD), which suggests that actors may call into question one another's adherence with certain norms and values during crises, which results in the mutual depletion of soft power resources. Importantly, this article proposes a novel, methodological approach for the analysis of individual tweets during crises. To illustrate its methodological and conceptual innovations, the study analyzes tweets published by the MFAs of the United States (US) and Russia during the Crimea crisis and demonstrates that both MFAs used Twitter to negatively frame each other by calling their morals into question, which resulted in MAD.

• Asian Journal of Innovation and Policy
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• v.11 no.1
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• pp.30-49
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• 2022

As industrialized countries transition into knowledge economies, there is a rising demand for talent and innovation. Support for start-ups through incubation, acceleration, and venture capital has turned into a key area of investment, with public and private actors searching for the next unicorn. This article examines start-up visas as an emerging policy tool in the global competition for highly innovative entrepreneurs. The study builds on a sample of eight national start-up immigration programs and applies human-capital citizenship (Ellermann, 2020) as a guiding framework. The article first proposes a conceptualization of start-up visas, suggesting that innovation and entrepreneurship also be considered in the theorization of skills. Second, the study examines the implications of start-up visas for international mobility. By focusing on the logic of entry requirements and subsequent benefits accrued through the status as a start-up founder, the findings of this study highlight the role of start-up visas in expanding privileged pathways to cross-border mobility. The article concludes with a discussion of implications for policy and research concerned with the international mobility of start-ups

• Asia Pacific Journal of Corpus Research
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• v.4 no.1
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• pp.43-59
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• 2023

This study aims to compare the structures of light verb constructions (LVCs) taking decision as the deverbal noun in Malaysian English, British English and American English. A general corpus made up of Internet forum threads from Lowyat.Net, was created to represent Malaysian English while the British National Corpus (BNC) and Corpus of Contemporary American English (COCA) were used to represent the supervarieties. Light verbs make and take are found to be heading deverbal noun decision. Differences are observed in the use of articles. The frequency of Malaysian English LVCs without article is the highest while supervarieties LVCs prefer indefinite article. The high occurrences of LVCs without articles in Malaysian English can be attributed to the influence from Malaysian substrate languages. Findings also show that descriptive adjective is the most frequently used modifier in all three varieties of English. This suggests the standard LVC structure, comprising a light verb, the indefinite article, and a deverbal noun is no longer rigidly adhered to even among the native speakers of English.

• Asian Journal of Innovation and Policy
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• v.12 no.3
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• pp.304-322
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• 2023

Text data mining ('big data methods') is one of the most widely used approaches during the COVID-19 pandemic. In particular, text data mining on Scopus databases or Web of Science (WoS). Text data mining is widely used to collect literature for later bibliometric analysis, and in the end, it becomes a literature review article. Therefore, in this article, we reveal the trend of publication of literature reviews in Scopus journals from Indonesia, Japan, South Korea, Vietnam, Singapore, and Malaysia. This article describes two essential parts, namely 1) a comparison of international publication trends and subject area of literature review publications, and 2) a comparison of Top 5 for Authors, Affiliation, Source Title, and Collaboration Country.