• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.309-312
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• 2016

Green Internet of Things (IoT) is the study and practice of eco-friendly sustainable computing. The basic goal of green computing is to reduce the use of materials and maximize energy efficiency with reliable and secure communications. The paper presents various technologies and issues regarding green IoT. It also studies the green Information and Communication Technology (ICT) such as green M2M, green Cloud Computing (CC), and green Data Center (DC). In addition, this paper mentions about the reliability in IoT Communication and and issues to achieve green IoT communication by applying efficient activity scheduling technique for energy saving. Finally, we propose the green IoT-Home Service (GIHS) model which provides efficient energy management in home automation system.

• Journal of the Korean Home Economics Association
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• v.24 no.1
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• pp.9-15
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• 1986

It is studied that the typical garments of Korea Dynasty, especially focused on half-sleeved Saeng jo Po and conspicuous kinds of fabrics,. Characteristics of this Po are doubled collar, pleats, half-sleeved, a partial lining sewed in the back of an unlined coat, a breast-tie, and so on. It is that a girdle of Po had been used from the early Korea Dynasty, contrary to the general theory that a girdle of Po was the special characteristic of early Korea Dynasty in the garments history of Korea. It is that the species, it is that there are may characteristic way of patterns in the Korea Dynasty, such as turtle patterns, cloud patterns, swastika patterns. etc.

• KIISE Transactions on Computing Practices
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• v.21 no.8
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• pp.555-560
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• 2015

In this paper, we analyzed the existing control methods of the legacy wearable-based CE devices and identified the requirements for improvements. In the conventional system, users waste their time configuring the initial network and registering their devices with the management server. To overcome these hurdles, we implemented the Easy-Setup framework for smart phones to personalized cloud devices.

• Journal of Korean Home Economics Education Association
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• v.32 no.3
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• pp.179-197
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• 2020

This study analyzed the trends in home economics education research using the language network analysis method, focusing on papers published in the KCI list for 20 years from 2000 to 2019. A total of 501 home economics education papers analyzed through word cloud, centrality analysis, and topic modeling using NetMiner 4.4, and the results are as follows. First, the number of papers in home economics education published in the KCI listing increased gradually to 186 in the 2000s and 315 in the 2010s. The academic journals in which home economics education papers were published have been diversified to 16 in the 2000s and 22 in the 2010s. 60% of all papers were published in the 'Journal of Korean Home Economics Education Association', and since 2018, the number of papers published in the 'Journal of Learner-Centered Curriculum and Instruction' has increased dramatically. Second, in the 2000s and 2010s, home economics education studies published in KCI were categorized into home economics education content analysis, home economics educational program development & application, curriculum analysis, perception survey & direction exploration. In the 2000s, 'Home Economics Teacher' appeared as the main keyword, and a lot of perception survey & direction exploration were conducted. Relatively, the influence of 'development' increased in the 2010s, and many studies were conducted to analyze home economics education contents and develop and apply home economics programs. This study has significance in that it analyzed the research trend of HEE by expanding the analysis target and analysis period of the existing studies.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.1
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• pp.147-152
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• 2018

This study investigates the demand management and energy saving plan of the apartment house based on the ESS (: Energy Storage System), which is the main equipment in the field of electric power energy efficiency, and suggests standardization for various technical factors and operation. It contributes to the spread of ESS industry. In addition, to create ESS market for apartment houses and smart homes, housing IoT technology is used to integrate apartment houses with smart home-based ESS and it is possible to achieve use efficiency and economic feasibility of power users, We will study a business model that can reconsider the acceptability of power users.

• Journal of Internet of Things and Convergence
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• v.1 no.1
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• pp.21-25
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• 2015

The Internet of Thing (IoT) will be a very important core technology to implement Intelligent Smart Home Network and it will take charge of an important role connected to Smart Phone, Cloud Computing in the Ubiquitous environment. In this paper, Internal Autonomous Regulation by human autonomic nervous system was studied and its core mechanism was applied to the design of IoT based Autonomous Regulation System for Intelligent Smart Home Network. We proposed an autonomous regulating mechanism in which the factors of Temperature, Humidity and Illumination are automatically adjusted as they communicate with the connected things.

• Journal of Satellite, Information and Communications
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• v.11 no.3
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• pp.37-42
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• 2016

In this paper, in today's highly complex video and broadcast operations, broadcasters are constantly challenged to reliably deliver low-latency, high-quality video to multiscreen audiences on-air and online. The Adaptive Bit Rate (ABR) protocols enable internet video to a wide range of multiscreen devices. However, video quality is often marginal and would prove unacceptable for valued linear broadcast content delivered to the Big Screen today. The Media information processing technology advances in ABR enables service providers to take control and offer quality managed linear video services to ALL screens in the home, including the Big Screen, with a single unified IP Video infrastructure. The New Multiscreen-Assisted ABR (MSA-ABR) delivery management system proposed using Cloud based multicast-assisted ABR for a broadcast facility that performs routing of contribution content and online publishing services within a virtual, centralized cloud infrastructure.

• Journal of Korean Home Economics Education Association
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• v.27 no.4
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• pp.37-50
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• 2015

The purpose of this study was to analyze the core content of consumer area from 1st to 2009 revised middle school Home Economics textbooks with the aim of proposing guidelines. An in-depth content analysis was conducted twenty two Home Economics textbooks that have been used in middle schools, beginning with the first curriculum until the revised 2009 curriculum with word cloud. The major findings of this study were as follows; First, the first period of the textbooks emphasized thrift-related concepts such as budgeting and saving money. The second and third period in Home Economics textbooks focused on household work and resource management. From fifth period, the content of textbooks were emphasized learning how to find relevant information and making rational decisions as a consumer. The 2007 revised and 2009 revised period in Home Economics have focused on rational decision-making by adolescents, while taking into account environmental considerations. The content of textbooks now introduces students to the notions of ethical consumerism and eco-friendly consumption across domains such as clothing, food, and housing. The curriculum and content of textbooks in Home Economics should emphasize the concepts related to ethical consumption.

• Journal of Information Technology Services
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• v.19 no.5
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• pp.1-14
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• 2020

Mankind has been attempting to live a happy and safe family life in a residential space. Due to the advent of the mobile phone in the 1990s and the smart phone in the 2000s, when the information and communication age came, human life has been innovatively changed. The revolution of human civilization led to the Neolithic Revolution and the Iron Age, followed by a smart phone revolutionizing human life, and the revolution faces with the era of info-communication, smart phones became a daily life and the fourth industrial revolution. The fourth industrial revolution is an era of info-communication technology (ICT), creating a new paradigm across human life through technological developments such as artificial intelligence (AI), IoT, big data, mobile, and cloud. The smart home is actively researched in a direction to support the overall human life as a representative future residential culture paradigm. However, the study considering the needs according to the lifestyle, functional characteristics of each living space and human lifestyle of the Phono Sapiens era where smart phones live like daily life was relatively insufficient. In addition, research on smart home service design should be considered from the apartment residential space planning stage. Therefore, this study has significance in suggesting the direction of research on human-centered smart home service design considering the characteristics of each living space and resident's life-style in the smart phone era.

• Journal of Electrical Engineering and Technology
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• v.13 no.5
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• pp.1874-1885
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• 2018

The customer side operation is getting more complex in a smart grid environment because of the adoption of renewable resources. In performing energy management planning or scheduling, it is essential to forecast non-controllable resources accurately and robustly. The PV system is one of the common renewable energy resources in customer side. Its output depends on weather and physical characteristics of the PV system. Thus, weather information is essential to predict the amount of PV system output. However, weather forecast usually does not include enough solar irradiation information. In this study, a PV system power output prediction model (PPM) under limited weather information is proposed. In the proposed model, meteorological radiation model (MRM) is used to improve cloud cover radiation model (CRM) to consider the seasonal effect of the target region. The results of the proposed model are compared to the result of the conventional CRM prediction method on the PV generation obtained from a field test site. With the PPM, root mean square error (RMSE), and mean absolute error (MAE) are improved by 23.43% and 33.76%, respectively, compared to CRM for all days; while in clear days, they are improved by 53.36% and 62.90%, respectively.