• Journal of the Korea Society of Computer and Information
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• v.24 no.8
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• pp.37-43
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• 2019

The existing smart farm technology has been systematized for the mass production rather than the consumer. There are many problems such as economical aspect to apply to actual rural environment due to aging. The purpose of this study is to apply smart farm technology based on the applicability of population aged in rural areas. Due to the heat wave, the crops in general greenhouse cultivation facilities suffered from damage such as sunlight damage. To minimize such damage, adjust the temperature and humidity environment or install a light-shielding film. However, the workers in the rural areas are aging and the elderly who are farming alone have a lot of difficulties in doing so. In the case of people with weak physical strength, there is a danger that they may lead to safety accidents when carrying heavy loads. In this paper, we propose 'Smart Palm capable of automatic transportation function', applying small smart vehicles that follow workers to existing smart farms to improve and prevent these problems. It is a smart farm that performs the control functions of the existing smart greenhouse environment, installs the rail for each trough, and has a vehicle that follows the worker. The smart app can directly control the greenhouse and the vehicle remotely manually.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.145-164
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• 2012

With the development of Information Communication Technology (ICT), diverse work policies, such as, telework, telecommuting, flexible work had been conceptualized and implemented to encourage efficient business practices and worker satisfaction. These work policies are the forerunners of newly emerging concept of "Smart Work." However, as smart work is a new concept, no single agreeable definition can be found. In this study, the relevant literatures published in past 15 years are reviewed systematically in order to derive a conceptual framework for "Smart Work," from related research, such as telecommuting, flexible time, telework, etc. Related variables are grouped into five clusters: Task, Technology, People, Organization Structure and Managerial Levers, forming a policy and research framework. Further research are suggested after the discussion of implications.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.147-158
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• 2017

The purpose of this study is to investigate the determinants of the SNS usage time depending on SNS motive of the youth workers. Although previous studies revealed that there are many motivations for SNS usage, it is not known which factors determine usage time of each SNS motive. In this study, we constructed the unbalanced panel data of the Korean Education & Employment Panel data. Among three different SNS motives such as information exchange, social networking, and fun pursuit, gender, physical health, extraversion, and conscientiousness affected the usage of SNS when the motivation was information exchange. When it was personal connection, the size of organization, education, physical health, subjective happiness, job satisfaction, neuroticism, and agreeableness did. When it was fun & interest, foreign company, status of children, subjective happiness, and job satisfaction did. Based on the findings, we discussed theoretical and practical implications.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.4B
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• pp.322-331
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• 2011

Recently, the social issues such as low birth rate, an aging population has brought about decreasing labor productivity and productive population. To relieve these problems, the government has planned to set up smart working infrastructure and will raise the number of smart worker to around 30 percent of the total working population by 2015. This study scrutinizes to the meaning of smart working with the concepts of new work pattern and open innovation. The empirical analysis result shows 56.9% of SMBs thought a need for such system and 60.1% of them answered to adopt it. And the market related to smart working of SMBs will increase to 17.5% every year to the point that by 2014. It will be worth 1.54 trillion won and create up to 38,000 job positions. While prior researches on SMB suggested key drivers and guideline for innovation, this study gives some implications of impact and ripple effect of smart working as an innovation factor based on empirical analysis.

• 한국사회정책
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• v.25 no.4
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• pp.199-231
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• 2018

The development of ICT has led to changes in the pattern and the meaning of work and requires restructuring of the existing social security system, which was established chiefly for the wage workers in the industrial economy. However, while economic activities within the digital platform markets are different from industrial labour, there is still a lack of discussion on what social problems platform workers can face and how to cope with them. As a comprehensive sketch of economic activities in platform economy, this study identifies the types of platform workers and analyses three characteristics of their economic activities - flexibility, virtuality, and connectivity. It then examines what social risks can be derived form the three characteristics. This research lastly suggests alternative social safety nets and policies to alleviates the social risks and problems that platform workers may face in the digital society.

• Genomics & Informatics
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• v.19 no.4
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• pp.49.1-49.11
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• 2021

Nowadays, Genomic data constitutes one of the fastest growing datasets in the world. As of 2025, it is supposed to become the fourth largest source of Big Data, and thus mandating adequate high-performance computing (HPC) platform for processing. With the latest unprecedented and unpredictable mutations in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the research community is in crucial need for ICT tools to process SARS-CoV-2 RNA data, e.g., by classifying it (i.e., clustering) and thus assisting in tracking virus mutations and predict future ones. In this paper, we are presenting an HPC-based SARS-CoV-2 RNAs clustering tool. We are adopting a data science approach, from data collection, through analysis, to visualization. In the analysis step, we present how our clustering approach leverages on HPC and the longest common subsequence (LCS) algorithm. The approach uses the Hadoop MapReduce programming paradigm and adapts the LCS algorithm in order to efficiently compute the length of the LCS for each pair of SARS-CoV-2 RNA sequences. The latter are extracted from the U.S. National Center for Biotechnology Information (NCBI) Virus repository. The computed LCS lengths are used to measure the dissimilarities between RNA sequences in order to work out existing clusters. In addition to that, we present a comparative study of the LCS algorithm performance based on variable workloads and different numbers of Hadoop worker nodes.

• KIISE Transactions on Computing Practices
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• v.23 no.5
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• pp.284-292
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• 2017

With the development of Internet of Things (IoT) technology, the combination of ICT and medical services has been increasing to improve the quality of medical services. Using the IoTs, we can collect personal health information continuously in a patient's everyday life. We expect that this will improve the quality of medical service through analysis. However, the problem of ensuring the protection of personal information within the personal health information has been hampering the research, development, and application of such services. Other problems include lack of IoT devices and lack of user convenience for collecting health information about a patient's everyday life. Therefore, in this study, we construct a daily health information management service that can collect the health related information at any time and store this data in personal storage. This data is then only provided to the healthcare worker when necessary. We built a test bed for an IoT-based smart home platform and are currently conducting user experiments. Based on the results of this study, we are attempting to provide a high quality medical trial service based on daily health information through linkage with medical device manufacturers, medical clinics, insurance companies, etc. We expect the proposed health information management service will contribute to the revitalization of smart health care services via activating various health related IoT devices and analyzing daily health information.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.32 no.1
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• pp.78-88
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• 2022

Objectives: To develop the smart sensor to protect worker's health from chemical exposure by adopting ICT (Information and Communications Technology) technologies. Methods: To develope real-time chemical exposure monitoring system, IoT (Internet of Things) sensor technology and regulations were reviewed. We developed and produced smart sensor. A smart sensor is a system consisting of a sensor unit, a communication unit, and a platform. To verify the performance of smart sensors, each sensor has been certified by the Korea Laboratory Accreditation Scheme (KOLAS). Results: Chemicals (TVOC; Total Volatile Organic Compounds, Cl₂: Chlorine, HF: Hydrogen fluoride and HCN: Hydrogen cyanide) were selected according to a priority logic (KOSHA Alert, acute poisoning statistics, literature review). Notifications were set according to OEL (occupational exposure limit). Sensors were selected based on OEL and the capabilities of the sensors. Communication is designed to use LTE (Long Term Evolution) and Wi-Fi at the same time for convenience. Electronic platform were applied to build this monitoring system. Conclusions: Real-time monitoring system for OEL of hazardous chemicals in workplace was developed. Smart sensor can detect chemicals to complement monitoring of traditional workplace environmental monitoring such as short term and peak exposure. Further research is needed to expand the scope of application, improve reliability, and systematically application.

• Korean journal of communication and information
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• v.83
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• pp.157-185
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• 2017

The present study examines the dialectic tensions arising within the ICT-mediated labor culture between the dominant power of conglomerates and the precarious labor subjects in the labor practices, as smartphones and tablet PCs have grown in popularity. The present study explores how much young precarious workers named 'Cheongyeon Alba' (young precariat in S Korea) suffers from continually precarious job positions as temporary staff or contract workers, being trapped at the bottom of the pay scale, and also being electronically connected to the workplace in a seamless way. Concretely, this study investigates how the mobile phone becomes deeply entangled with the 'precarious' labor culture in the metropolitan city of Seoul. The mobile precariat has been in a disadvantaged position, in terms not only of the moral issue of exploitation in business but also of social injustice. Labor exploitation of young workers has been reinforced by the mobile labor culture, in which they are remotely monitored by live surveillance mobile apps, and mobile instant messaging from a boss can intrude incessantly into their private life. This study depicts the extension of the business's surveillant power by mobilizing the mobile phone in the working practices.