• Fashion & Textile Research Journal
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• v.19 no.2
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• pp.221-229
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• 2017

This study researched the needs of smart fashion items using energy harvesting for outdoor wearers and surveyed the application areas and design preferences for energy-harvesting systems based on outdoor activities. A total of 217 subjects were surveyed. Subjects who had at least 3 years of experience in outdoor activities were selected in order to increase the reliability of the research results. The survey investigated lifestyles based on outdoor activities, outdoor clothing and electronic equipment usage, purchase style, utilization plan, and design preference for energy-harvesting clothing and supplies. The results showed that 62.7% of the respondents had experience in outdoor activities for more than five years. 96.3% of the subjects carried electronic equipment, and 179 participants(82.5%) experienced discomfort due to battery consumption/dead batteries during outdoor activities. 78.4% were interested in smat fashion items using energy-harvesting technology, and the energy-conversion technology that was useful for outdoor activities was "kinetic energy"(74.7%). Participants showed a high preference for a detachable type(30.9%) and a city type(69.1%) that can be worn in outdoor activities as well as in general life. The preferred location of the electric power-charging device was the "Hem area of top garment"(35.9%), and the reason for this selection was that it was easy to operate and did not interfere with movement. The data from this paper can be used as a basis for product planning and product design for energy-harvesting apparel designers and supply developers for outdoor clothing.

• Journal of Digital Convergence
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• v.14 no.1
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• pp.75-82
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• 2016

The most of public services that we use these days is distributed and supplied as 'App' service because of wide spread of smat phones. Especially, since the interest of general citizens about usabilitu of public data has been increased, in case of Seoul, people can reach the data through 'Seoul Open Data Plaza' of 25 regions of Seoul. It becomes possible to construct various throughout this system. Ultimately, in case of users, they are provided many services through their electronic media. Looking at the development and research of public data service, they are mostly focusing on service or building up the service, but the research on visualization of contents is insufficient. This study is suggesting the specific plan and directionality of building public service using the public data which studied in the advanced research, "The user interface platform". Finally. this research is for a right usage of public data in the smart urban environment in near future and providing the practical public service.

• Nuclear Engineering and Technology
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• v.50 no.1
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• pp.132-139
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• 2018

Nanocrystalline reduced activation ferritic/martensitic (RAFM) steel samples were prepared using surface mechanical attrition treatment (SMAT). Un-SMATed and SMATed reduced activation ferritic/martensitic samples were irradiated by helium ions at $200^{\circ}C$ and $350^{\circ}C$ with 2 dpa and 8 dpa, respectively, to investigate the effects of grain boundaries (GBs) and temperature on the formation of He bubbles during irradiation. Experimental results show that He bubbles are preferentially trapped at GBs in all the irradiated samples. Bubble denuded zones are clearly observed near the GBs at $350^{\circ}C$, whereas the bubble denuded zones are not obvious in the samples irradiated at $200^{\circ}C$. The average bubble size increases and the bubble density decreases with an increasing irradiation temperature from $200^{\circ}C$ to $350^{\circ}C$. Both the average size and density of the bubbles increase with an increasing irradiation dose from 2 dpa to 8 dpa. Bubbles with smaller size and lower density were observed in the SMATed samples but not in the un-SMATed samples irradiated in the same conditions, which indicate that GBs play an important role during irradiation, and sink strength increases as grain size decreases.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.5
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• pp.203-208
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• 2021

At the manufacturing site, workers have been operating by inputting materials into the manufacturing process and leaving input records according to the work instructions, but product LOT tracking has been not possible due to many omissions. Recently, it is being carried out as a system to automatically input materials using RFID-Tag. In particular, the initial automatic recognition rate was good at 97 percent by automatically generating input information through RACK (TAG) ID and RACK input time analysis, but the automatic recognition rate continues to decrease due to multi-material RACK, TAG loss, and new product input issues. It is expected that it will contribute to increasing speed and yield (normal product ratio) in the overall production process by improving automatic recognition rate and real-time monitoring through the establishment of artificial intelligent smart factory datasets.

• Management & Information Systems Review
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• v.12
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• pp.137-160
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• 2003

The association between accounting earnings and the stock price of an entity is the subject that has been most heavily researched during the past 25 years in accounting literature. Researcher's common finding is that there are positive relationships between accounting earnings and stock prices. However, the explanatory power of accounting earnings which was measured by $R^2$ of regression functions used was rather low. To be connected with these low results, The prior studies propose that there will be additional information, errors in variables. This study investigates empirically determinants of earnings response coefficients(ERCs), which measure the correlation between earnings and stock prices, using earnings level / change, as the dependent variable in the return/earnings regression. Specifically, the thesis tests whether the factors such as earnings persistence, growth, systematic risk, image, information asymmetry and firm size. specially, the determinable variables of ERC are explained in detail. The image / information asymmetry variables are selected to be connected with additional information stand point, The debt / growth variables are selected to be connected with errors in variables. In this study, The sample of firms, listed in Korean Stock Exchange was drawn from the KIS-DATA and was required to meet the following criteria: (1) Annual accounting earnings were available over the 1986-1999 period on the KIS-FAS to allow computation of variables parameter; (2) sufficient return data for estimation of market model parameters were available on the KIS-SMAT month returns: (3) each firm had a fiscal year ending in December throughout the study period. Implementation of these criteria yielded a sample of 1,141 firm-year observation over the 10-year(1990-1999) period. A conventional regression specification would use stock returns(abnormal returns) as a dependent variable and accounting earnings(unexpected earnings) changes interacted with other factors as independent variables. In this study, I examined the relation between other factors and the RRC by using reverse regression. For an empirical test, eight hypotheses(including six lower-hypotheses) were tested. The results of the performed empirical analysis can be summarized as follows; The first, The relationship between persistence of earnings and ERC have significance of each by itself, this result accord with one of the prior studies. The second, The relationship between growth and ERC have not significance. The third, The relationship between image and ERC have significance of each by itself, but a forecast code doesn't present. This fact shows that image cost does not effect on market management share, is used to prevent market occupancy decrease. The fourth, The relationship between information asymmetry variable and ERC have significance of each by. The fifth, The relationship between systematic risk$(\beta)$ and ERC have not significance. The sixth, The relationship between debt ratio and ERC have significance of each by itself, but a forecast code doesn't present. This fact is judged that it is due to the effect of financial leverage effect and a tendency of interest.