• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.355-358
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• 2016

Recently, As the interest of the drone has increased the fields such as broadcasting, disaster site and leisure which uses the drone has been constantly expanded. However, an invasion of a person's privacy and a threat of hacking attack also have increased as population of drone. High-resolution cameras mounted on drones can take a photo or real-time video anytime and anywhere. It causes the invasion of privacy from private houses, buildings, and hotels. In this paper, we perform a security vulnerability assessment tests on the camera's from common commercial drones and we propose the countermeasures to protect the drones against unauthorized attacker who attempts to access the drone's camera from internal or external. Through this research, we expect the Aviation Act and legislation accept the concept of security and provide the polices such as drones equipped with security devices from the production stage to promote drone industry.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.429-434
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• 2020

Worldwide Electric Vehicle (EV) sales are rapidly increasing. But in many cases, charging locations can be found within or near downtown area of the city which makes EV users living outskirts of the city very difficult to establish their daily EV charging routines. In order to improve this situation, we have come up with a daily EV charge service connected with convenience stores and restaurants within reach of most EV users living in South Korea. We aim to allow users to charge their EVs while they shop and eat, just as if they charge their smartphones at cafes and restaurants. We have gone through user diary research and focus group interview research to figure out current user's concerns regarding charging and maintenance of EVs and applied the findings to our proposed service design.

• Journal of the Korea institute for structural maintenance and inspection
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• v.17 no.4
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• pp.119-127
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• 2013

In cases of wooden structure and wooden house installed on the outside, metal goods used for basic connection are usually screw bolts, strainless nails and general iron nails. As metal connections on wood are directly exposed to exterior environment, friction resistibility of nails on metal connections declines and continual defects on this are generated and maintenance for it is required. However, experiments and analyses for preparing basic data for improvement of the problems have been not conducted so far and wooden structures with defects are abandoned. Accordingly, by analyzing friction resistibility of connections by each kind of woods and metal goods, the study aims to suggest to use metal goods appropriately by kinds of woods and manufacture conditions with analysis on characteristics of resistibility of extracting nails for solving such problems and to secure basic data for establishing maintenance, repair and reinforcement plans.

• Journal of Korean Society of Transportation
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• v.23 no.1
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• pp.33-44
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• 2005

Railroad crossing crashes are fewer than road crashes, but with regard to crash severity, they can be serious injury crashes. There should be, therefore, enormous efforts to increase the safety of railroad crossings. The objective of this paper is to identify and understand factors associated with railroad crossing crashes. Statistical models are used to examine the relationships between crossing accidents and geometric elements of crossings. The results show the Poisson model is the most appropriate method for the crossing accidents, because overdispersion was not observed. This study identifies seven significant factors associated with railroad crossing crashes through the main and variant models. With regard to explanatory factors on crossing safety, the total traffic volume, daily train volume, presence of commercial area around crossings, distance of train detector from crossings, time duration between the activation of warning signals and gates, crossing types, and speed hump were found to affect the safety of railroad crossings.

• Korean Journal of Construction Engineering and Management
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• v.9 no.3
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• pp.95-107
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• 2008

Recently, a size of the domestic construction industry Has been reduced rapidly, and its economic slump Has been continued with the government real estate stabilization and tax policies. Moreover, as the reconstruction of apartments that has been added high value to the construction companies has been on the stake of high risk with delays of reconstruction start and finance restriction policies, an uncertainty of the construction markets and the competitions between the construction companies has been increased. At this point, the establishment of a collaboration relationship between construction companies has been recognized as one of the methodologies to respond actively on these uncertainties and fierce competitions. A collaboration relationship between construction companies is based on the balanced cooperation relationship for surviving together, and should be maintained on the complement and specialized collaboration between big, middle and small contractors. This paper propose a model of practical collaboration relationship to cooperate together between prime and subcontractors in Korean construction companies based on the analysis of questionnaires to the collaboration status between general and subcontractors in the Gangwon area.

• Journal of the Korea Society of Computer and Information
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• v.13 no.5
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• pp.125-133
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• 2008

As society develops, the importance of safety for individuals and facilities in public places is getting higher. Not only the areas such as the existing parking lot, bank and factory which require security or crime prevention but also individual houses as well as general institutions have the trend to increase investment in guard and security. This study suggests face feature extract and the method to simply divide face region and head region that are import for face recognition by using color transform. First of all, it is to divide face region by using color transform of Y image of YIQ image and head image after dividing head region with K image among CMYK image about input image. Then, it is to extract features of face by using labeling after Log calculation to head image. The clearly divided head and face region can easily classify the shape of head and face and simply find features. When the algorism of the suggested method is utilized, it is expected that security related facilities that require importance can use it effectively to guard or recognize people.

• Korea Real Estate Review
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• v.28 no.3
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• pp.79-94
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• 2018

This study analyzed the factors associated with residential mobility based on the data from the 11th to the 19th wave of the Korean Labor & Income Panel Study (KLIPS). After grouping low-income households within the first to the fourth income bracket into households that exhibited no income bracket change and those with income bracket changes during the research period, this study examined the effects of the income situation of each group on residential mobility. According to the results of the analysis, in the group of households that showed no low-income bracket change, significant effects were found only in the age of the head of the household, housing cost, and rental deposit (Jeonse) and monthly rental of the household. In the group of households that showed low-income bracket changes, findings were generally in line with those of the whole household, where total income and the number of full-time employees in the household were the same as those of the whole household, indicating that it would be necessary to improve the employment stability of low-income households. Based on the findings of this study, housing inequality is intensifying within low-income households, and, thus, housing policies, based on continuing surveys, must be implemented to enhance income opportunities and stabilize the housing needs of low-income households.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.993-995
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• 2014

Typical dwelling pattern of apartment houses in Korea. Because of this the noise of life problem arise, complaints are surging. In real-life, if suffering is unavoidable due to ambient noise, to handle a civil complaint the using a noise meter. At home, it is difficult to measure the noise using professional equipment. So, many uses smartphone application in general. But released existing noise measurement application has different value from the sensor sensitivity for each smartphone model to same situation. The value is lacks precision and this is not considered as having been made by measuring the actual noise purpose. Therefore in this paper, we propose a mobile data processing system for the living environment of noise measurement using a smartphone. Benefits of this study is to improve the accuracy of noise measurements and to find direction of noise to handle complaints.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.109-113
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• 2020

Against the backdrop of low-carbon, green growth, many attention is focused on a sustainable society where humans and nature coexist. Carbon emissions increase with energy consumption, which is 40 percent of the world's energy consumption by buildings. Korea has a plan to make zero-energy houses mandatory only for new buildings in 2025, but it is relying on private technology investment for its technology. The reality is that the current technology costs more than 1.5 times more than general buildings, and private companies do not have many zero-energy house complexes other than experimental houses. This study aims to study the new model of zero energy house by introducing IOT system that efficiently observes and controls energy in zero energy house, monitoring pleasant environment on the web and introducing resident proper temperature maintenance system.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.221-231
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• 2021

This paper identify factors of migration of employees' household who work for relocated public institutions. As a factors of migration, we consider individual and household characteristics, the gravity model of distance and population and so on. Considering discrete dependant variable and structure of data, we employ the logistic multilevel model and random intercept model. The result indicates employees' who are female, 30s and 40s, higher education level(PhD) and whose spouse are unemployed tend to transfer their residential registration to new city near relocated public institution. Regarding regional variable, the distance from employee's previous residential location and number of migration of prior year are statistically significant. Also the model indicate regional economy, educational and residential environment of new city influence employee's decision for transferring residential registration.