• Proceedings of the SAREK Conference
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• 2009.06a
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• pp.1343-1347
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• 2009

In order to comply with the global energy crisis and environment problem, it is necessary to research and develop the energy utilization technology with the reduction of the primary energy usage. Although the increasing rate of energy consumption started to attenuate, the entire consumption of energy as well as $CO_2$ emission rate tends to increase steadily along with an economic growth in Korea. The energy demand in Korea increases by annual 3.7% during the period from 2000 to 2006. And it is expected that we should take a charge of the greenhouse gas reduction obligation by the Climatic Change Convention(Kyoto Protocol) during the 2nd pledge period($2013{\sim}2017$). According to the IEA report in 2005, the emission amount of carbon dioxide is the 10th place in the world, and the increasing rate is 4.7% annually. Considering the economic scale of Korea, the degradation of energy usage is inevitable when the greenhouse gas reduction obligation come into effect. Therefore, effective energy usage is a very important issue to minimize baneful influence on industrial and economic activities.

• Journal of the Korean Society of Food Culture
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• v.20 no.2
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• pp.204-213
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• 2005

This study was focused on the analysis of questionnaire that surveyed the uses, preference and recognition on apple. The subjects of this study consisted of 452 female(married 238, unmarried 214) in Daegu area. Among those respondents, 49.1% answered that they ate apple after dinner. Respondents preferred as purchase place fruits store(34.5%), traditional market(22.6%), and big discount store(21.7%), in order. Taste(46.0%) was the most important as purchase criterion. 49.1% of respondents preferred small amount below 2-3kg every one purchase. In preference survey on apples, 80.5% of total subjects responded 'like' or 'very like', and 73.6% of those subjects who favorably responded liked the 'taste' of apples. The preference survey study on apple foods revealed that respondents preferred the most apple juice(M=3.47), fellowed by apple jam(M=3.35) and apple vinegar(M=3.21). On the other hand, apple bab(M=2.29) and apple jook(M=2.23) had the most low preference score. The recognition survey study on apple revealed that respondents knew relatively well the followings: apple is natural food(M=4.25), apple is good for body and apple is good for beauty(M=4.20). Respondents required apple to be fresher(41.0%) and taster(37.4%). 89.4% of respondents expected that consumption of apples would be increased or maintain at the present level.

• Journal of the Microelectronics and Packaging Society
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• v.27 no.2
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• pp.1-10
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• 2020

The technology and market size of image sensors continue to develop thanks to the release of image sensors that exceed 100 million pixels in 2019 and expansion of black box camera markets for vehicles in addition to existing mobile applications. We review the technology flow of image sensors that have been constantly evolving for 40 years since Hitachi launched a 200,000-pixel image sensor in 1979. Although CCD has made inroads into image sensor market for a while based on good picture quality, CMOS image sensor (CIS) with active pixels has made inroads into the market as semiconductor technology continues to develop, since the electrons generated by the incident light are converted to the electric signals in the pixel, and the power consumption is low. CIS image sensors with superior characteristics such as high resolution, high sensitivity, low power consumption, low noise and vivid color continue to be released as the new technologies are incorporated. At present, new types of structures such as Backside Illumination and Isolation Cell have been adopted, with better sensitivity and high S/N ratio. In the future, new photoconductive materials are expected to be adopted as a light absorption part in place of the pn junction.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.1B
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• pp.125-135
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• 2010

Recently, the problem of global warming has issued seriously, so Green IT(Information Technology) using RFID/USN is concerned in order to solve environmental problems. In this paper, we implemented that public area like an underground parking lot could reduce unnecessary energy consumption used by lighting control system based on Ubiquitous Sensor Networks. The lighting control system for underground parking lot is comprised of intersection nodes for watching cars enter and leave, and light node for controlling light. It applies the routing protocol based on hierarchical cluster, hierarchical addressing method, and probability filtering method for the specific place like an underground parking lot. The result after experiments shows that the lighting control system could decrease electrical energy consumption to around 61.7%.

• 한국태양에너지학회:학술대회논문집
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• 2009.11a
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• pp.136-141
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• 2009

Considerable part of energy consumption is occurred by through buildings. Especially, Lighting energy consumption is most part of one in building. There is very various ways and systems for saving lighting energy. In method, It can be divided Passive Daylighting System and Active Daylighting System. Louver, Screen and use of window's character is representative ways of passive system. Reflection mirror, optical pipe and optical fiber is representative method of active system. Introducing day light on which place can't be introduced day light by typical method is important advantage of active system. Except introducing day lighting methods, efficient lighting management system can save lighting energy. It called lighting automation system. Representatively, Occupancy-related automation and Brightness-related automation system is that. According to occupancy and introducing daylighting level properly operate lamp's intensity of illumination that can save lots of energy. Though Introducing daylighting method, effective lighting system we can get proper intensity of illuminance level and energy saving.

• Korean Institute of Interior Design Journal
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• v.15 no.3 s.56
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• pp.184-192
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• 2006

On this study, we are focusing on the spatial value of the flagship store as an effective way of experiential communication for a brand. The purpose of this study is to create effective methods for the spatial identity by connecting significance of experiential communication and strategic factors of experiential marketing. The process of this research is summarized as follows: First, we select some cases of the flagship stores realizing differentiated methods of experiential marketing and classify the types according to the marketing strategy. Second, we can analyze each function in the context of social, cultural life style. Finally, for the company flagship stores can be a tool to construct a sustainable brand image and tool differentiation, and at the same time for the consumer they can create relationships through customers' experience in the space expressing brand identity and style. Also, flagship stores can be valued as a place offering emotional experiences of cultural consumption as well as product consumption when planned given the style suitable for brand image and strategies.

• Journal of the Korean Society of Food Culture
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• v.15 no.2
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• pp.101-110
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• 2000

This study was carried out to investigate the consumer recognition and consumption of Misitgaru(the traditional powder of roast grain). Data were collected from the 605 housewives(average age, 42.9 years old) residing in Chonbuk area by the self-administered questionnaire. The results from this study were as follows. The respondants were generally concerned regarding Misitgaru as a between-meal snack(33%). And there were recognition on Misitgaru as a weaning food(17%), health food(16%), and substitute food(14%). Of the respondants, good consumers of the Misitgaru were high ratio in age below 30 years old and in number of family member between 6 to 7. Among the demographic variables, age, educational level and housing form especially affected the purchasing place and educational level affected the kinds of mixing cereals. The higher the educational level, the more the kinds of mixing cereals. The methods of storage were significantly different according to age and income level. The older in age and higher in income level, the higher the storage at room temperature.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.9
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• pp.333-340
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• 2021

In Vietnam, the desire to consume organic vegetables is increasing as people become increasingly concerned about foods that contain several chemicals and toxins that are hazardous to their health. However, numerous subjective and objective factors continue to influence customers' purchase intention and behavior, indicating that this market has not yet reached its full potential. The study analyzes the impacts of trust, price, and convenience on consumers' consumption behavior and frequency of using organic vegetables in Northern Vietnam. We surveyed 312 consumers in the region. After classifying the data, 178 participants have used or regularly used organic vegetables selected for further study. Next, the author applied SmartPLS software with version 3.3 to test the hypotheses and analyze the effects of the observations. The result shows that three main factors affect customers' organic vegetable consumption behavior, especially perceived convenience. This study contributes to the development of comprehensive policy mechanisms and regulations on product traceability. Furthermore, market management authorities must have a strategy in place to inspect the product quality of organic vegetable store chains regularly to build customer trust and support the growth of organic vegetable production and supply chains in Vietnam's northern region.

• Korean Journal of Agricultural Science
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• v.47 no.4
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• pp.769-782
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• 2020

Interest in fruit and vegetables has increased due to changes in consumer consumption patterns, socioeconomic status, and family structure. This study determined the factors influencing the demand for fruit and vegetables (strawberries, paprika, tomatoes and cherry tomatoes) using a panel of Rural Development Administration household-level purchases from 2010 to 2018 and compared the ability to the prediction performance. An artificial neural network model was constructed, linking household characteristics with final food expenditure. Comparing the analysis results of the artificial neural network with the results of the panel model showed that the artificial neural network accurately predicted the pattern of the consumer panel data rather than the fixed effect model. In addition, the prediction for strawberries was found to be heavily affected by the number of families, retail places and income, while the prediction for paprika was largely affected by income, age and retail conditions. In the case of the prediction for tomatoes, they were greatly affected by age, income and place of purchase, and the prediction for cherry tomatoes was found to be affected by age, number of families and retail conditions. Therefore, a more accurate analysis of the consumer consumption pattern was possible through the artificial neural network model, which could be used as basic data for decision making.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.1877-1891
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• 2022

As a part of cloud computing technology, algorithms for cloud task scheduling place an important influence on the area of cloud computing in data centers. In our earlier work, we proposed DeepEnergyJS, which was designed based on the original version of the policy gradient and reinforcement learning algorithm. We verified its effectiveness through simulation experiments. In this study, we used the Proximal Policy Optimization (PPO) algorithm to update DeepEnergyJS to DeepEnergyJSV2.0. First, we verify the convergence of the PPO algorithm on the dataset of Alibaba Cluster Data V2018. Then we contrast it with reinforcement learning algorithm in terms of convergence rate, converged value, and stability. The results indicate that PPO performed better in training and test data sets compared with reinforcement learning algorithm, as well as other general heuristic algorithms, such as First Fit, Random, and Tetris. DeepEnergyJSV2.0 achieves better energy efficiency than DeepEnergyJS by about 7.814%.