• Journal of Korea Entertainment Industry Association
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• v.13 no.6
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• pp.53-67
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• 2019

This study is expected to be of significance in that it attempted to examine the personal information protection awareness of college students and the state of their personal information protection as prospective information processors and private information owners to boost their will to put private information protection in practice. As a result of making an analysis, the most common average time that the students spent in doing every online activity on weekdays was fewer than two or three hours, and the most dominant activities that they did over the Internet were for entertainment or hobbies. As for awareness of the nature of the Internet, they looked upon it as a quite open public space. Regarding the state of private information protection, they thought that changing passwords on a regular basis would be beneficial to personal information protection, and many thought that it's needed to withdraw from or shut down web sites that weren't used for a long time. In terms of actual practice, however, they didn't change their e-mail passwords regularly on the grounds that it's a hassle, and even the students who had experience of personal information leakage didn't report it or didn't ask for counsel on the grounds that they didn't want to be bothered as well. The majority of the students weren't cognizant of how to report or seek counsel. In the future, personal information protection should be educated on a continual basis as part of curriculum to raise awareness of it among students and boost their will to practice it with a sense of responsibility in an effort to prevent the occurrence of collateral damages triggered by personal information leakage.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.5
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• pp.610-616
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• 2010

This paper describes how to securely bind the identity reference and biometric reference for satisfying security requirements. To overcome the shortcomings of the simple personal authentication method using a password, such as identify theft, a biometric system that utilizes physical and behavioral characteristics of each person has been adopted. In the biometric system, the biometric information itself is personal information, and it can be used as an unique identifier that can identify a particular it vidual when combining with other identity information. As a result, a son, anb it canmethod is required for manipulat canthese information. Consider canthese issues, this paper proposes a biit canmethod uiter son, anand uisecure channels for generating the common identifier and ensuring security of identity reference and biometric reference that are stored in the separated DBs.

• Smart Media Journal
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• v.8 no.3
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• pp.62-69
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• 2019

Electrocardiogram (ECG) signals cannot be counterfeited and can easily acquire signals from both wrists. In this paper, we propose a method of generating a coupling image using direction information of ECG signals as well as its usage in a personal recognition method. The proposed coupling image is generated by using forward ECG signal and rotated inverse ECG signal based on R-peak, and the generated coupling image shows a unique pattern and brightness. In addition, R-peak data is increased through the ECG signal calculation of the same beat, and it is thus possible to improve the recognition performance of the individual. The generated coupling image extracts characteristics of pattern and brightness by using the proposed convolutional neural network and reduces data size by using multiple pooling layers to improve network speed. The experiment uses public ECG data of 47 people and conducts comparative experiments using five networks with top 5 performance data among the public and the proposed networks. Experimental results show that the recognition performance of the proposed network is the highest with 99.28%, confirming potential of the personal recognition.

• Journal of Intelligence and Information Systems
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• v.11 no.1
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• pp.1-15
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• 2005

As organizations search fur more secure authentication methods (Dr user access, e-commerce, and other security applications, biometrics is gaining increasing attention. Biometrics offers greater security and convenience than traditional methods of personal recognition. In some applications, biometrics can replace or supplement the existing technology. In others, it is the only viable approach. Several biometric methods of identification, including fingerprint hand geometry, facial, ear, iris, eye, signature and handwriting have been explored and compared in this paper. They all are well suited for the specific application to their domain. This paper briefly identifies and categorizes them in particular domain well suited for their application. Some methods are less intrusive than others.

• The KIPS Transactions:PartB
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• v.8B no.2
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• pp.189-194
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• 2001

본 논문에서는 개인 식별을 위하여 복수 해상도 구조를 제시하였고 이 방법으로 구순문 인식을 구현하였다. 구순문 인식은 지문, 음성 패턴, 홍채 패턴과 얼굴 인식과 같은 신체적 특징에 비하여 상대적으로 연구가 많이 이루어지지 않은 신체적 특징이다. 구순문은 CCD 카메라를 이용할 경우 홍채나 얼굴 패턴 같은 다른 특징 요소와 연결하여 인식 시스템을 구축할 수 있는 장점을 가지고 있다. 구순문 인식을 위해 pattern kernels를 이용한 새로운 방법을 제시하였다. Pattern kernels는 여러 개의 local lip print mask들로 구성된 함수이며, lip print의 정보를 디지털 데이터로 전환시켜 준다. 복수 해상도를 가지는 인식 시스템은 단일 해상도의 시스템보다 더욱 신뢰적이며 인식률도 높다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.317-319
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• 2024

본 논문에서는 비디오 캡셔닝 알고리즘을 적용한 수어 번역 및 행동 인식 알고리즘을 적용한 수어 인식 알고리즘을 제안한다. 본 논문에 사용된 비디오 캡셔닝 알고리즘으로 40개의 연속된 입력 데이터 프레임을 CNN 네트워크를 통해 임베딩 하고 트랜스포머의 입력으로 하여 문장을 출력하였다. 행동 인식 알고리즘은 랜덤 샘플링을 하여 한 영상에 40개의 인덱스에서 40개의 연속된 데이터에 CNN 네트워크를 통해 임베딩하고 GRU, 트랜스포머를 결합한 RNN 모델을 통해 인식 결과를 출력하였다. 수어 번역에서 BLEU-4의 경우 7.85, CIDEr는 53.12를 얻었고 수어 인식으로 96.26%의 인식 정확도를 얻었다.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.319-326
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• 2014

According to the increasing mobile security users who have experienced authentication failure by forgetting passwords, user names, or a response to a knowledge-based question have preference for biological information such as hand geometry, fingerprints, voice in personal identification and authentication. Therefore biometric verification of personal identification and authentication for mobile security provides assurance to both the customer and the seller in the internet. Our study focuses on human hand biometric information recognition system for personal identification and personal Authentication, including its shape, palm features and the lengths and widths of the fingers taken from mobile phone photographs such as iPhone4 and galaxy s2. Our hand biometric information recognition system consists of six steps processing: image acquisition, preprocessing, removing noises, extracting standard hand feature extraction, individual feature pattern extraction, hand biometric information recognition for personal identification and authentication from input images. The validity of the proposed system from mobile phone image is demonstrated through 93.5% of the sucessful recognition rate for 250 experimental data of hand shape images and palm information images from 50 subjects.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.111-120
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• 2019

This study examined the mediating effects of perceived organizational support (POS) on the relationship between the person-job fit and job satisfaction of service workers. POS is divided into socioemotional POS and instrumental POS. To achieve the research purpose, a questionnaire survey was conducted on workers in charge of service jobs in domestic companies through an on-line survey system and finally, the results of 281 respondents were analyzed to verify the hypothesized research model with an 80.3% effective recovery rate. The findings are as follows. First, the person-job fit has positive effects on job satisfaction and POS. Second, among the sub-constructs of POS, socioemotional support has mediating effects, but instrumental support has no mediating effects on the relationship between person-job fit and job satisfaction. Based on the results of this study, this study suggests theoretical and practical implications for the human resource development and management of service workers. Overall, changes in the recruitment system, which can judge the person-job fit of employees who perform emotional labor facing customers, organizational culture and personnel system for establishing socioemotional support system, and compensation and workforce development system, are needed to enhance the job satisfaction of service workers.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.36-44
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• 2016

This study examined the nursing student's preliminary knowledge and awareness of patient's personal information protection. 187 respondents, who were trained in 2 different nursing colleges in Kyungpook province, participated in the survey from May 18 to June 12, 2015. Using the data collected, descriptive statistics, T-test and one-way ANOVA were implemented. As a result, the student nurses, who had heard about the Personal Information Protection Act showed a significantly higher awareness score of patient's personal information protection behavior than those who did not. The respondents educated in personal information protection were reported to have a higher score of awareness about the patient's personal information protection behavior. In this regard, it is vital for university organizers to develop education associated with ethics and information security, which could enhance the perceptions of personal information protection for student nurses before their working career begins.

• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.1-8
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• 2015

This paper presents a Electrocardiogram(ECG) identification method using adaptive weight based on Least Mean Square Error(LMSE) optimization. With a preprocessing for noise suppression, we extracts the average ECG signal and its standard deviation at every time instant. Then the extracted information is stored in database. ECG identification is achieved by matching an input ECG signal with the information in database. In computing the matching scores, the standard deviation is used. The scores are computed by applying adaptive weights to the values of the input signal over all time instants. The adaptive weight consists of two terms. The first term is the inverse of the standard deviation of an input signal. The second term is the proportional one to the standard deviation between user SAECGs stored in the DB. Experimental results show up to 100% recognition rate for 32 registered people.