• Asia Marketing Journal
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• v.24 no.4
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• pp.169-177
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• 2023

In the current study, we explore how women decide whether to accept or reject a potential match offered by a dating app (Tinder). Specifically, we were trying to identify overlying factors that influence the decision and understand how women make a judgment based on limited cues provided by a Tinder profile. Women largely base their decision on the perceived attractiveness and character of the potential match. The findings suggest that attractiveness is highly subjective, with no universal rules that can be quantified; thus, it is hard to predict acceptance of the potential match. There are however factors that contribute significantly to profile rejection, such as a big age difference and the inability to clearly see the face of the person.

• Proceedings of the IEEK Conference
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• 2000.11d
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• pp.247-250
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• 2000

This paper proposes a finger crease pattern identification algorithm utilizing a clustering method. The algorithms has been developed for the use of biometric person identification system. Since the finger crease pattern may be well-imaged utilizing low cost imaging devices such as low-end CCD camera with LED lighting, the feasibility of commercialization of the algorithm and the system utilizing the algorithm may be well justified if the finger crease pattern is a reasonable choice for the biometric feature. In this paper, we exploit this possibility and show the potential of using the finger crease pattern as a feature for biometric person identification.

• Journal of Family Resource Management and Policy Review
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• v.26 no.3
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• pp.1-17
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• 2022

This study focused on the heterogeneity of groups in single-person households, to identify how middle-aged single-person households is categorized by sub-groups and to come up with policy measures to overcome social exclusion by examining predictive factors for the type of social exclusion. Potential class analysis and multinomial logistic regression analysis were conducted on a total of 361 middle-aged single-person households using the 14th Korea Replication Panel data. The social exclusion index of these households was measured consisting of 10 six-dimensional indicators. The results showed that middle-aged single-person households had five different types: "non-exclusion"(29.6%), "health restriction"(14.3%), "interact restriction and middle-risk multiple-exclusion" (12.0%), "income and health exclusion"(14.1%), and "high-risk multiple-exclusion"(30.0%). More than 70% of the respondents experienced social exclusion, and most of the exclusion types were multiple exclusion. When examining the factors affecting each exclusion type, the 'subjective health level' was a common major predictor, and family interact, age and leisure activity satisfaction variables were significant predictors of the 'high-risk multiple exclusion type' and 'the interact restriction and middle-risk multiple-exclusion type'. Based on these results, a multidimensional intervention strategy is an effective measure to solve the social exclusion problem of middle-aged single-person households, and practical measures should be considered by strengthening 'health' and exchanges.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.295-300
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• 2017

The study evaluates exploration of social robot's role which can emotionally communicate with human as an alternative to heal psychological isolation for single-person households. At first, I conduct a study on literatured to understand the definition and characteristics of social robot then analyze the current situation and future prospects. Based on this, I organized the requirements of social robot in aspect of user experience through in-depth interview of twenties single-person households living in the metropolitan area who could be potential customers. As a result every subject require social robot specialized to them through accumulated interaction. On the other hand, degree of attachment with social robot is different from subjects. Hear by I realize every subject require social robot to different and various functions according to their lifestyle and personality. Therefore I could draw conclusions and implications from this study that technical development in aspect of personalized user experience is necessary for social robot to settle in to human's life in the future.

• BMB Reports
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• v.49 no.7
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• pp.359-369
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• 2016

DNA methylation is emerging as an attractive marker providing investigative leads to solve crimes in forensic genetics. The identification of body fluids that utilizes tissue-specific DNA methylation can contribute to solving crimes by predicting activity related to the evidence material. The age estimation based on DNA methylation is expected to reduce the number of potential suspects, when the DNA profile from the evidence does not match with any known person, including those stored in the forensic database. Moreover, the variation in DNA implicates environmental exposure, such as cigarette smoking and alcohol consumption, thereby suggesting the possibility to be used as a marker for predicting the lifestyle of potential suspect. In this review, we describe recent advances in our understanding of DNA methylation variations and the utility of DNA methylation as a forensic marker for advanced investigative leads from evidence materials.

• Soft Computing and Machine Intelligence
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• v.1 no.1
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• pp.11-23
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• 2021

House price prediction is a significant financial decision for individuals working in the housing market as well as for potential buyers. From investment to buying a house for residence, a person investing in the housing market is interested in the potential gain. This paper presents machine learning algorithms to develop intelligent regressions models for House price prediction. The proposed research methodology consists of four stages, namely Data Collection, Pre Processing the data collected and transforming it to the best format, developing intelligent models using machine learning algorithms, training, testing, and validating the model on house prices of the housing market in the Capital, Islamabad. The data used for model validation and testing is the asking price from online property stores, which provide a reasonable estimate of the city housing market. The prediction model can significantly assist in the prediction of future housing prices in Pakistan. The regression results are encouraging and give promising directions for future prediction work on the collected dataset.

• Proceedings of the KIEE Conference
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• 2001.07c
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• pp.1724-1726
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• 2001

This paper deals with the characteristics of the potential rises of down-conductor due to lightning surge currents. Direct lightning strikes can cause high impulse currents to the lightning protection system(LPS) of a building. These high impulse currents have the front time as short as 1[${\mu}s$]. In this case, the induced voltages caused in a closed circuit inside the building can be very high and cause damage or submit people to electric hazard. So, the LPS has to be designed to ensure safety condition to person and acceptable levels of induced voltages to the electrical and electronic equipments. The results of the potential rises related to the bonding conditions between the grounding conductor and metal raceway and the type of down-conductors are introduced.

• Journal of the Society of Disaster Information
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• v.5 no.2
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• pp.88-106
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• 2009

The potential risks of Korean public security has been increasing by economic stagnation. As a result of this, a feeling of unrest about our society causes expansion of private security industry as well as necessity of professional education. It has been 15years to produce security expert in colleges which is professional education institute, and academic efforts and contributions to society are shown remarkable results for the period. A private security industry had got public interest as a potential favorable job, because of increasing dependence of public to take care of unrest facts. Many colleges have introduced courses about public security because of facing necessity of professional education system. Then total 59 institutes including 22 universities and 37 colleges introduce courses of public security. Although name of courses are diverse depends on institution, purpose of course or members of course, the ultimate purpose of these courses is preventing public from crimes and managing public security. A fixed and out of date education system of universities in Korea can not produce talent person who people, companies and government want. The institutions have been recruiting many student so far, and it shows growth of the industry in quantity aspects. However quality aspect of the industry has been failed because it is hard to get a job for graduated students. Consequently, to improve quality of the industry people need cooperation of institution, professors and students.

• Environmental Engineering Research
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• v.18 no.2
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• pp.91-94
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• 2013

Recently Ibadan in southwestern Nigeria has been facing severe water shortage due to the increase of population, social and economic activities. In order to meet the shortfall, attempts to utilize rainwater harvesting (RWH) have been made to provide an alternative source of water supply. A desk study was conducted to review various RWH technologies locally, regionally and globally. A hydrological analysis was also carried out using rainfall data for 30 years from two meteorological stations, with the aim of providing a more sustainable RWH system for water supply to private individuals, organizations, and government agencies. RWH is found to be technically feasible based on the prevailing rainfall pattern with over 90% of households having a rooftop constructed from technically appropriate materials. Results of the study indicate that an average roof of $80m^2$ will collect 82,835 L/yr (45 L/person/day) for a family of five people which is about the required water demand for drinking and cooking purposes. Hence, the capacity of storage tanks and the catchment area required for an all-purpose water supply system based on RWH are quite large. These can be reduced to affordable sizes, by collecting and storing water for cooking and drinking only while non-potable uses are supplemented by water from other sources. However, it must be highlighted that due to the type of roofing material, rainwater should go through proper treatment in order to be used for potable purposes. This study clearly shows that Ibadan city has a good rainwater harvesting potential.

• Journal of Korean Society of Rural Planning
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• v.14 no.3
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• pp.1-9
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• 2008

In this study, by reflecting flow of age, possibility of new theme park development as private investments business based on source that is farming village that is not tried to before is verified and by analyzing potential of the site, effectiveness of new theme park development is examined. "Nonghyup Anseong Meadow Anseong-si Gyeonggi-do" is selected as researched site where accessibility is good as there is near to National Capital region and nature condition is also good. Demands are forecasted using visiting intention and realizing index through analogical method and by analyzing existing data related with increase of tourism business that people can experience English village and increasing demand of experiencing farming region tourism demands are forecasted. The results are at below. First, As average expenditure per one person is 52,209 won that is shown in result of survey, if multiplying increasing rate of price and the number of visiting people that is optimistic forecasting figure, the whole expenditure of visitors per one year is from 10.54 billions to 13.85 billions won. Second is potential power of demand aspects. Potential power of that theme park was re-examined through demands forecasting analysis through survey. Experiencing farming regions theme park business that is informed through analysis of potential power of development and demand aspects has value to invest as new business based on farming regions sources, as a result of searching through diverse aspects such as tourism, economy, public interest and cultural aspect and so on.