• Journal of Smart Tourism
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• 제1권1호
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• pp.19-30
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• 2021

Smart tourism technologies are becoming ever more pervasive and an increasing number of destinations and hospitality establishments are investing in smart tourism initiatives. However, while governments and businesses around the world are aggressively pushing the smart tourism agenda forward, smart tourism research initiatives are still in their infancy and seem to not fully cover the whole spectrum of smart tourism-related issues and questions. This paper conducts a systematic review of existing smart tourism literature to determine the status quo of smart tourism research and to identify research gaps. Considering the steep growth of smart tourism initiatives starting at the beginning of this decade, this paper reviews publications on smart tourism over the last 8 years. All publications for which the keyword "smart tourism" appears in the title, keywords or abstract were included in the sample.

• 전기전자학회논문지
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• 제22권4호
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• pp.1088-1092
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• 2018

In this paper, we propose a dual-mode frequency tripler using push-push and stacked FET structures. The proposed circuit can operate either in frequency multiplier mode or in amplifier mode. In the frequency multiplier mode, push-push frequency multiplication is achieved by allowing input signals with particular phase shifts. In the amplifier mode, the device operates as a distributed amplifier to obtain high gain. Also both modes were designed using stacked FET structure. The designed circuit showed frequency tripled output power of 9.7 dBm at 2.4 GHz with the input at 800 MHz. On the other hand, in the amplifier mode, the device showed 8.9 dB of gain to generate 19.5 dBm at 800 MHz.

• 융합경영연구
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• 제8권1호
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• pp.12-19
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• 2020

Purpose - Strategic causes for the failure include unrealistic growth, overexpansion, unfamiliar new markets, volume obsession, unrealistic promises and poor project selection. Organizational causes are insufficient capital and profits, lack of business knowledge, poor financial management, poor sales skills, inadequate marketing, poor leadership, poor leadership transfer, project losses, poor field performance and owner bankruptcy. Uncontrollable causes include industry and economic weakness and banking and surety changes. While helpful, the list provides insufficient clarity regarding the causal roots of failure. Research design, data and methodology - The research framework to organize the information involved with many of the recent and large failures in the industry. Results - This research then identified five dominant root causes - excessive egoism, poor strategic leadership, too much change, loss of discipline and inadequate capitalization. Conclusion - Finally, additional input from external forces may accelerate the firm's pace to failure. It is important on the development of diagnostic tools that are based on this model and that will provide new ways to assess a conglomerate's level of risk for incurring a financial crisis.

• 품질경영학회지
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• 제50권3호
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• pp.491-502
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• 2022

Purpose: The purpose of this study is to find factors affecting the acceptance intention of autonomous mobility service by applying the unified technology acceptance theory(UTAUT). Methods: The measurement items for each component of this study were modified to meet the purpose of the study by referring to previous studies related to mobility based on UTAUT, which has secured validity and reliability in many studies. The collected data through the online survey were analyzed using hierarchical regression analysis. Results: It was found that performance expectation, effort expectation, social influence, and facilitation conditions for autonomous mobility service had a positive effect on acceptance intention. Also, in this relationship, it was confirmed that driving experience moderated the relationship between performance expectation and acceptance intention, and between effort expectation and acceptance intention. Conclusion: Understanding the public's acceptance of autonomous mobility services, and suggesting strategic implications for the direction of service development to companies that are pushing to enter the autonomous mobility service market.

• 국제초고층학회논문집
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• 제9권3호
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• pp.261-271
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• 2020

The 2020 National Building Code of Canada (NBC) and the 2021 International Building Code (IBC) both include Tall Wood Buildings (TWB) and are hailed as documents responsible for the proliferation of Mass Timber construction. Mass Timber construction is critical to reducing the carbon footprint of the construction industry; a sector acknowledged as being one of the greatest contributors of global annual CO₂ emissions. Origine, a 13-storey multi-residential building erected in 2017 in a previously unsuitable site, is currently the tallest all-wood building in North America. This article describes the challenges overcome by the designers and client as they engaged with code officials, building authorities, and fire-service representatives to demonstrate the life-safety performance of this innovative building. It also traces the development of the "Guide for Mass Timber Buildings of up to 12 Storeys" published in Quebec and how it has enabled other significant Tall Wood projects across North America.

• 전자통신동향분석
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• 제38권4호
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• pp.25-35
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• 2023

As the global semiconductor supply chain falters, major countries are pushing to increase their self-sufficiency in semiconductors. In accordance with these global changes, R&D cooperation is evolving in the semiconductor industry. Previously, as for the case of Interuniversity Microelectronics Center (IMEC) in Europe, many cooperation initiatives were established regardless of nationality for improving productivity through measures such as reducing the time and cost required for joint research. Recently, however, cooperation aimed at strengthening one's own industry has been prominent, such as that led by Taiwan Semiconductor Research Institute (TSRI) and the United States National Semiconductor Technology Center (NSTC). Hence, the Korean semiconductor industry also needs to respond. Internally, technology localization should be promoted by strengthening the foundation for domestic R&D cooperation, while externally, it should expand close cooperation with companies from countries leading the semiconductor industry, such as the United States, Europe, and Japan.

• KDI Journal of Economic Policy
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• 제45권2호
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• pp.51-69
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• 2023

Korea's population is aging at a faster pace than any other major country, and the adverse impact of this trend on the economy is predicted to be significant. This paper focuses on the macroeconomic effects of population aging with particular attention paid to the pace of aging in Korea. According to our analysis, it is difficult to offset the decline in the labor supply driven by rapid population aging, even if the labor force participation rate of the working-age population rises to a significantly high level. We suggest a re-orientation of policy directions to correspond to the behavioral changes of economic agents. Policies must focus on promoting labor force participation among the elderly while pushing towards human capital advancement and higher productivity.

• 풍력에너지저널
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• 제3권2호
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• pp.11-17
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• 2012

An offshore(submarine) cable has been used for more than a century, however it has been used mainly for communication or power supply to near-shore island. Therefore, offshore cable has not been got more attention than other types of cable and the related standards have also not been established well. However wind farms have been shifting from land to offshore because of better wind condition. Consequently, it has been pushing up demand for offshore cable. Hence, this paper introduces the trend of offshore cable industry and related standards or recommendations only focusing on offshore wind farm. In details, the installed offshore cables in offshore wind farms, the main offshore cable makers and up to date technologies are covered. In addition, the related standards or recommendations are also analyzed and compared each other.

• Mass Spectrometry Letters
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• 제14권4호
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• pp.121-140
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• 2023

It is becoming more and more clear that each cell, even those of the same type, has a unique identity. This sophistication and the diversity of cell types in tissue are what are pushing the necessity for spatially distributed omics at the single-cell (SC) level. Single-cell chemical assessment, which also provides considerable insight into biological, clinical, pharmacodynamic, pathological, and toxicity studies, is crucial to the investigation of cellular omics (genomics, metabolomics, etc.). Mass spectrometry (MS) as a tool to image and profile single cells and subcellular organelles facilitates novel technical expertise for biochemical and biomedical research, such as assessing the intracellular distribution of drugs and the biochemical diversity of cellular populations. It has been illustrated that ambient mass spectrometry (AMS) is a valuable tool for the rapid, straightforward, and simple analysis of cellular and sub-cellular constituents and metabolites in their native state. This short review examines the advances in ambient mass spectrometry (AMS) and ambient mass spectrometry imaging (AMSI) on single-cell analysis that have been authored in recent years. The discussion also touches on typical single-cell AMS assessments and implementations.

• 대한임베디드공학회논문지
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• 제18권6호
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• pp.285-292
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• 2023

With the wide spread of smart farms and the advancements in IoT technology, it is easy to obtain additional data in addition to crop images. Consequently, deep learning-based crop disease diagnosis research utilizing multimodal data has become important. This study proposes a crop disease diagnosis method using multimodal supervised contrastive learning by expanding upon the multimodal self-supervised learning. RandAugment method was used to augment crop image and time series of environment data. These augmented data passed through encoder and projection head for each modality, yielding low-dimensional features. Subsequently, the proposed multimodal supervised contrastive loss helped features from the same class get closer while pushing apart those from different classes. Following this, the pretrained model was fine-tuned for crop disease diagnosis. The visualization of t-SNE result and comparative assessments of crop disease diagnosis performance substantiate that the proposed method has superior performance than multimodal self-supervised learning.