• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.6
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• pp.155-163
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• 2022

In order to avoid the spread of Covid-19, outdoor activities are decreasing worldwide and the time spent at home is increasing. As physical activity declines, the number of people who feel bored, restless and immune deficient is increasing. As indoor life becomes more permanent, multiple approaches to home workout are becoming active. This paper examines how the Covid blue (boredom and social anxiety) produced in the no-touch era affects quality of life through the use of home training applications. Questionnaires were collected from Chinese people using a website dedicated to Chinese questionnaires, and finally 383 appropriate data were analyzed using SPSS24.0 and AMOS24.0. The research results showed that the actual experience of using home workout had a positive impact on quality of life. The higher the user's sense of social unease about being late in the untact, It was found that the higher the social anxiety perceived by users about the untact era, the higher the interactivity and exercise satisfaction with the home workout app. Home workout application can improve exercise satisfaction and quality of life, which are more positive effects beyond the result of resolving consumers' boredom. Therefore, it can be used as a channel for digital services.

• Fisheries and Aquatic Sciences
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• v.25 no.9
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• pp.473-488
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• 2022

To have a better understanding of the impact of the PETRONAS oil and gas platform on commercial fisheries activities, Universiti Malaysia Terengganu (UMT) examined two approaches which are data collection from satellite and data collection from fishermen and anglers. By profiling the anglers who utilize reefed oil and gas structures for fishing, it can determine if the design and location of the reef platforms will benefit or negatively impacts those anglers and fisherman. Furthermore, this assessment will be contributing to the knowledge regarding the value of offshore oil and gas platforms as fisheries resources. Collectively, the apparent fishing activity data included, combined with the findings in the reefing viability index will help to inform PETRONAS's future decommissioning decisions and may help determine if the design and proposed locations for future rigs-to-reefs candidates would benefit commercial fishing groups, further qualifying them as appropriate artificial reef candidates. The method applied in this study is approaching by using a data satellite known as Google's Global Fishing Watch technology, which is one of the applications to measure commercial fishing efforts around the globe. The apparent commercial fishing effort around the selected twelve PETRONAS platforms was analyzed from January 2012 to December 2018. Using the data collection from fishermen which is the total estimation of commercial fish value cost (in Malaysia ringgit, MYR [RM]) in Peninsular Malaysia Asset, Sabah Asset, and Sarawak Operation region. The data were extracted every month from 2016 to 2018 from the National Oceanic and Atmospheric Administration database. Most of the selected platforms that show a high frequency of vessels around the year are platform KP-A, platform BG-A and platform PL-B. The estimated values of commercial fishes varied between platforms, with ranged from RM 10,209.92 to RM 89,023.78. Thus, platforms with high commercial fish value are selected for reefing in-situ and will serve multi-purposes and benefit the locals as well as the country. The current study has successfully assessed the potential reefing area of the Malaysian offshore environment with greater representativeness and this paper focused on its potential as a new fishing ground.

• Journal of Advanced Navigation Technology
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• v.26 no.5
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• pp.365-372
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• 2022

Compared to sensors mainly used in human activity recognition (HAR) systems, inertial measurement unit (IMU) sensors are small and light, so can achieve lightweight system at low cost. Therefore, in this paper, we propose a binary neural network (BNN) based gait pattern analysis system using IMU sensor, and present the design and implementation results of an FPGA-based accelerator for computational acceleration. Six signals for gait are measured through IMU sensor, and a spectrogram is extracted using a short-time Fourier transform. In order to have a lightweight system with high accuracy, a BNN-based structure was used for gait pattern classification. It is designed as a hardware accelerator structure using FPGA for computation acceleration of binary neural network. The proposed gait pattern analysis system was implemented using 24,158 logics, 14,669 registers, and 13.687 KB of block memory, and it was confirmed that the operation was completed within 1.5 ms at the maximum operating frequency of 62.35 MHz and real-time operation was possible.

• Journal of Appropriate Technology
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• v.7 no.2
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• pp.144-150
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• 2021

The purpose of this paper is to introduce representative appropriate technology research organizations operating in France. Among them, we would like to investigate and introduce five institutions that have acquired a lot of experience due to their long history. Institut de Recherche pour le Développement (IRD) is a government-funded institution that strengthens science and technology infrastructure in Africa and overseas territories with the aim of supporting and educating science communities in developing countries, and conducts collaborative research with more diverse developing countries. Antenna France is an NGO organization whose main activity is to improve malnutrition in Africa. Ingénieurs sans frontiers is an NGO organization that sets sustainable development as the main goal of the association's activities and leads various activities such as education. Terre & Humanism is an NGO organization that practices ecological agriculture and carries out a social change movement urging to respect life and land, and to constitute an alternative society. Humanitarian Design Bureau is a corporation concept company that mainly carries out R&D for environmentally friendly products necessary for NGO activities.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.466-472
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• 2021

This paper aims to guide experts who manage dementia by exploring the various non-drug interventions and analyzing the effective intervention methods applicable according to the functional level of the elderly with dementia. Fourteen studies were analyzed in this study. Meta-analysis was performed using the means, standard deviations, and the number of samples. Subsequent meta-analysis showed that the Holnis program had the largest effect size in cognitive function, the bakery activity program in memory, and the composite intermediation program with ADL was the largest. In addition, client-centric cognitive stimulation interventions showed the most significant effect sizes, while in depression and BPSD, rhythmic movement activities had the most significant effect size. Elderly with dementia exhibit various symptoms depending on their characteristics and the progress of the disease. Therefore, more efficient arbitration could be provided if the effects of each intervention can be applied differently.

• Journal of Science Education
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• v.45 no.1
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• pp.23-41
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• 2021

This study is to investigate the characteristics of problem-finding and problem-solving abilities demonstrated by the secondary gifted students in the context of STEAM convergent problems. For this, using the STEAM convergence problem solving ability test, we qualitatively and quantitatively compared and analyzed the workbook outputs written in the process of finding and solving problems for each student in the gifted class. The results are as follows: First, we found that the speciality of the major of the proposed activity paper influenced the preference for questions and pattern of finding problems. Second, it was found that the difference in the ability to find and solve problems for a specific task was not by the major of the gifted class, but by the composition of the group. Third, in finding and solving the STEAM convergent problem, the individual creativity and the cooperative creativity of the group were more significant than the major. These results suggest that it is necessary to include the affective factors of gifted students and the concept of cooperation in problem-finding and problem-solving ability evaluation, and there is a need to develop a teaching and learning strategy that can improve cooperative problem-solving skills so that group creativity can be exhibited well.

• Journal of Korea Trade
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• v.25 no.3
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• pp.21-47
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• 2021

Purpose - Offshoring has emerged as one of the major trends in international trade and has become one of the strategies for achieving competitiveness in the global market. In spite of this, the expected gains of offshoring can be offset by hidden costs and risks, such as those associated with the COVID-19 pandemic, the trade war between the USA and China, and the ongoing trade dispute between Korea and Japan. To obviate such business failure and prevent critical business blunders, offshoring strategies that efficiently consider both risk elements and potential wealth creation are urgently need. The first purpose of this study is to contribute to the development of more advanced offshoring strategies to help host countries select the best locations to manage supply chain risks and create unique value. The second purpose is to specifically analyze the current status of Korea and provide Korean companies with implications to be considered when deciding whether to offshore or re-shore. Design/methodology - A Network DEA model was applied to measure the comparative location efficiency of national competencies for offshoring strategy from perspectives of wealth creation opportunities (profitability and marketability) and supply chain risk management. The location efficiencies are compared among a total 70 countries selected from the Global Competitiveness Index (GCI) and globally attractive locations outlined by Kearney (2017). For the secondary analysis of efficiency, a t-test examining the nature of competitive advantage and the level of sophistication in production processes was implemented in three divisions. We then analyzed differences in offshoring performance in terms of the identified national traits. Moreover, Tobit regression analysis is conducted to investigate the correlation between value-added business activities and each divisional efficiency, seeking to determine how each degree of value-added business activity influences the increase in offshoring productivity. Findings - Regarding overall location efficiency for offshoring performance, only the USA and Italy were identified as being efficient as host countries for offshoring, under circumstances of advanced development, such as productivity and risk management. Korea ranks 13th among 70 countries. The determinants of national competitiveness depend on national traits (the nature of competitive advantage and business sophistication). Countries with labor/resource advantages and labor-intensive industries are more competitive in terms of marketability than others. In contrast, countries with strong technology-intensive industries benefit offshoring companies, particularly in the technology sector, with the added advantage of supply chain risk management. As the perception of a value chain is broader in a country, it can achieve both production sophistication and competitive advantages such as marketability and SCRM. Originality/value - Existing studies focus on offshoring effectiveness from a company perspective. This paper contributes to comparing country efficiency in producing core competencies related to an offshoring strategy and also segments countries into three performance-based considerations associated with the global offshoring market. It also details Korea's position as an offshoring location according to national efficiency and competency.

• Korean Association of Arts Management
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• no.57
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• pp.33-58
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• 2021

The purpose of this study is to understand the impact of the subscription economy on the contemporary art market in terms of creation, consumption and distribution of artwork. To accomplish the aim of this study, we conducted a case study of Artnomic Gallery K borrowing the theoretical perspective from Alexander(2003)'s Modified Cultural Diamond model. In this paper, we collected data through reviewing the secondary document and conducting in-depth interviews with 10 experts and consumers in the art market. As a result, the subscription economy eases the traditional art trade, which is heavily focused on a small number of market arts, by encouraging artists to create various works. The transition to subscription in the purchase of art contributes to lowering the barriers to entry into the art market by reducing the financial burden on consumers in terms of consumption. In terms of distribution, this founding of this article shows that the experts of Gallery K are the main actors in selecting the works that consumers subscribe to. Therefore, in this study, it is of academic significance to discuss that the filtering effect of the distribution system emphasized by Alexander(2003) is effective even in the art trading system to which a new form of economic activity - the subscription economy - is applied.

• Journal of Internet Computing and Services
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• v.23 no.1
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• pp.31-38
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• 2022

An electrocardiogram(ECG) is a recoding of electrical signals of the heart's cyclic activity and an important body information for diagnosing myocardial rhythm. Large amount of information are generated continuously and a significant period of cumulative signal is required for the purpose of diagnosing a specific disease. Therefore, research on compression including clinically acceptable lossy technique has been developed to reduce the amount of information significantly. Recently, wearable smart heart monitoring devices that can transmit electrocardiogram(ECG) are being developed. The use of electrocardiogram, an important personal information for healthcare service, is rapidly increasing. However, devices generally have limited capability and power consumption for user convenience, and it is often difficult to apply the existing compression method directly. It is essential to develop techniques that can process and transmit a large volume of signals in limited resources. A method for compressing and transmitting the ECG signals efficiently by using the cumulative average (template) of the unit waveform is proposed in the paper. The ECG is coded lovelessly using template matching. It is analyzed that the proposed method is superior to the existing compression methods at high compression ratio, and its complexity is not relatively high. And it is also possible to apply compression methods to template matching values.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.9
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• pp.305-316
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• 2022

With the flood of digital data owing to the Internet of Things and big data, cloud service providers that process and store vast amount of data from multiple users can apply duplicate data elimination technique for efficient data management. The user experience can be improved as the notion of edge computing paradigm is introduced as an extension of the cloud computing to improve problems such as network congestion to a central cloud server and reduced computational efficiency. However, the addition of a new edge device that is not entirely reliable in the edge computing may cause increase in the computational complexity for additional cryptographic operations to preserve data privacy in duplicate identification and elimination process. In this paper, we propose an efficiency-improved duplicate data elimination protocol while preserving data privacy with an optimized user-edge-cloud communication framework by utilizing a trusted execution environment. Direct sharing of secret information between the user and the central cloud server can minimize the computational complexity in edge devices and enables the use of efficient encryption algorithms at the side of cloud service providers. Users also improve the user experience by offloading data to edge devices, enabling duplicate elimination and independent activity. Through experiments, efficiency of the proposed scheme has been analyzed such as up to 78x improvements in computation during data outsourcing process compared to the previous study which does not exploit trusted execution environment in edge computing architecture.