• The Journal of Korea Robotics Society
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• v.11 no.2
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• pp.108-114
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• 2016

This paper presents a sensor-based cane mechanism for walking aid of the visually impaired person. We also describe an approach to decide properly the length of the specified cane mechanism. The cane mechanism has some sensors to identify the possibility of a collision between the cane user and an object and/or a person, and a signal processing unit that enables the user to recognize such a collision is attached in the mechanism. Thus, the walker using this cane can recognize in advance the possibility of such a collision in his walking process. Consequently, it is helpful for the visually impaired person to walk on a pedestrian road safely. The feature of the proposed cane mechanism and its availability have been shown through experimental works in a typical walking environment.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.472-474
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• 2019

Because of the difference in network structure and loss function, Verification and identification models have their respective advantages and limitations for person reidentification (re-ID). In this work, we propose a multi-task network simultaneously computes the identification loss and verification loss for person reidentification. Given a pair of images as network input, the multi-task network simultaneously outputs the identities of the two images and whether the images belong to the same identity. In experiments, we analyze the major factors affect the accuracy of person reidentification. To address the occlusion problem and improve the generalization ability of reID models, we use the Random Erasing Augmentation (REA) method to preprocess the images. The method can be easily applied to different pre-trained networks, such as ResNet and VGG. The experimental results on the Market1501 datasets show significant and consistent improvements over the state-of-the-art methods.

• Journal of the Korea Society of Computer and Information
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• v.24 no.2
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• pp.185-192
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• 2019

In the case of a hearing impaired person using sign language, there are many difficulties in communicating with a normal person who does not understand sign language. The sign language translation system is a system that enables communication between the hearing impaired person using sign language and the normal person who does not understand sign language in this situation. Previous studies on sign language translation systems for communication between normal people and hearing impaired people using sign language are classified into two types using video image system and shape input device. However, the existing sign language translation system does not solve such difficulties due to some problems. Existing sign language translation systems have some problems that they do not recognize various sign language expressions of sign language users and require special devices. Therefore, in this paper, a sign language translation system using an artificial neural network is devised to overcome the problems of the existing system.

• Journal of Information Processing Systems
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• v.15 no.4
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• pp.785-796
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• 2019

Due to the view point, illumination, personal gait and other background situation, person re-identification across cameras has been a challenging task in video surveillance area. In order to address the problem, a novel method called Joint Bayesian across different cameras for person re-identification (JBR) is proposed. Motivated by the superior measurement ability of Joint Bayesian, a set of Joint Bayesian matrices is obtained by learning with different camera pairs. With the global Joint Bayesian matrix, the proposed method combines the characteristics of multi-camera shooting and person re-identification. Then this method can improve the calculation precision of the similarity between two individuals by learning the transition between two cameras. For investigating the proposed method, it is implemented on two compare large-scale re-ID datasets, the Market-1501 and DukeMTMC-reID. The RANK-1 accuracy significantly increases about 3% and 4%, and the maximum a posterior (MAP) improves about 1% and 4%, respectively.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.151-156
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• 2021

The article provides an examination of those temporary states of disturbances in the psychophysiological and socio-psychological spheres of a person, which develop against the background of normally formed mechanisms of mental activity, that is, in mentally healthy people. A healthy person is a person adapted to the conditions of the external environment, and mental health is inseparable from the physical and social well-being of a person. The cause of the disorder is the impact on a person of any environmental factors that weaken the mechanisms of social and psychological adaptation of the individual.

• American Studies
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• v.44 no.2
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• pp.193-210
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• 2021

Theresa Hak Kyung Cha's Dictée proliferates with many pronouns. Whether the various subjects invoked in Dictée refer to a single common figure remains ambiguous. By paying close attention to the ambiguity of narrative voice, this essay examines how the creation of narrative ambiguity in Dictée is closely linked to the author's employment of the second person voice. This essay particularly attends to how Cha explores the narrative possibilities of the second person voice in the text's "Calliope/Epic Poetry" section in order to reflect upon experiences of exile and migration on a transnational scale. Through the intimacy and narrative ambiguity of the second person voice, Cha is able to create an epic on migration that is not only transnational in scope, but also invites the reader to engage with the self-alienating aspects of exilic and immigrant life in an unusually intimate yet powerful manner.

• The Journal of Korean Academic Society of Nursing Education
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• v.28 no.1
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• pp.48-56
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• 2022

Purpose: The main purpose of this study was to identify factors influencing person-centered care competence in nursing students. Methods: The study was conducted in two universities located in the D and J cities of South Korea. Participants were 130 senior nursing students who had experienced clinical practice for at least 3 months. Data were collected from September 7-10, 2019, using a structured questionnaire and analyzed using a hierarchical multiple regression with SPSS/WIN 23.0. Results: The Factor influencing person-centered care competence was compassion competence (β=.49, p<.001) and the explanatory power of this variable was 30% (F=10.98, p<.001). Conclusion: According to the results of this study, nursing faculties need to develop programs and learning content to enhance learners' compassion competence for promotion of person-centered care competence.

• Journal of the Korean Society of Food Science and Nutrition
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• v.38 no.6
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• pp.709-720
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• 2009

This study was conducted to identify daily caffeine intakes in beverages for elementary school children and to evaluate its effectiveness after nutrition education. The caffeine contents of 140 commercial beverages were analysed by high performance liquid chromatography-ultraviolet detector (HPLC-UV) and information about their consumption were obtained by surveying 267 children. Researchers gave nutrition education to the children, who were 6 to 11 years old and attended 9 classes of 3 elementary schools, by lecture, Powerpoint file and moving picture. Their preference and intake amount on beverages were investigated by questionnaire before and after nutrition education. The order on caffeine contents was coffee ($33.8{\pm}2.4{\sim}49.1{\pm}5.6\;mg/100\;mL$)> coffee milk ($10.6{\pm}3.3\;mg/100\;mL$)> cola ($6.0{\pm}2.4\;mg/100\;mL$)> green black oolong tea drink ($6.0{\pm}2.4\;mg/100\;mL$)> chocolate milk and chocolate drink ($1.6{\pm}0.7{\sim}1.7\;mg/100\;mL$)> black ice tea mix ($1.3{\pm}1.7\;mg/100\;mL$). The order on children's preference was carbonated drink and fruit and vegetable drink (27%)> sports drink (26%)> processed cocoa mix (7%)> milk (6%)> vitamin & functional drink (3%)> green tea drink (2%)> black tea drink and coffee (1%). The average daily caffeine intakes except tea drink was $5.9{\pm}11.2$ mg/person/day ($0.17{\pm}0.32$ mg/kg bw/day), ranged from $0.0{\sim}80.5$ mg/person/day for children. The sources of caffeine were coffee 57% (3.4 mg/person/day), coffee milk 20% (1.2 mg/person/day), carbonated drink 15% (0.9 mg/person/day), chocolate milk and chocolate drink 6% (0.4 mg/person/day), and vitamin & functional drink 2% (0.1 mg/person/day). After nutrition education, the preference of carbonated drink, coffee, vitamin drinks & functional drink was decreased significantly (p<0.05, p<0.05, p<0.01) and the intakes of carbonated drink, chocolate milk & chocolate drink, and vitamin & functional drink were also decreased significantly (p<0.01, p<0.05, p<0.01). This study has shown that nutrition education influences the preference and the intake behavior of caffeinated beverages.

• Journal of Family Resource Management and Policy Review
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• v.16 no.1
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• pp.123-148
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• 2012

The main objective of this study was to investigate how people prepare for old age by looking at financial statements from single-person households in Gyeonggi province; the policy implications regarding low fertility and population aging are considered. The subjects were members of 600 households who were aged 26 to 44 years old and not married. The data were analyzed by t-test, ANOVA, and dichotomous logistic regression using SPSS WIN 12.0. Respondents pointed out that financial problems are the greatest challenges for those facing old age in single-person households; they said that a stable job is the most important factor for secure living. About 57% of household residents responded that they have prepared for retirement, and a majority of them said they hoped to spend their elderly years with a marriage partner. The financial statements from single-person households were inferior to those from other types of households. The assets of single-person household members were less than those of other households. Only 10.5% of respondents have owned homes. The study discusses policy implications for those who want marriage and for those who don't want it. For those who want marriage, job-seeking support was proposed, and for the others, tax deductions and family programs for single-person households were proposed.

• ETRI Journal
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• v.37 no.2
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• pp.395-405
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• 2015

We address the problem of uncooperative person recognition through continuous monitoring. Multiple modalities, such as face, height, clothes color, and voice, can be used when attempting to recognize a person. In general, not all modalities are available for a given frame; furthermore, only some modalities will be useful as some frames in a video sequence are of a quality that is too low to be able to recognize a person. We propose a method that makes use of stochastic information updates of temporal modalities and environment estimators to improve person recognition performance. The environment estimators provide information on whether a given modality is reliable enough to be used in a particular instance; such indicators mean that we can easily identify and eliminate meaningless data, thus increasing the overall efficiency of the method. Our proposed method was tested using movie clips acquired under an unconstrained environment that included a wide variation of scale and rotation; illumination changes; uncontrolled distances from a camera to users (varying from 0.5 m to 5 m); and natural views of the human body with various types of noise. In this real and challenging scenario, our proposed method resulted in an outstanding performance.