• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.179-191
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• 2012

In 2003, the US Congress enacted the Code Adam Act of 2003. The Act was so-named in memory of six-year-old Adam Walsh, who was abducted from a Sears department store in Florida and was later found murdered in 1981. According to the Act, the designated authority for a public building must establish procedures for locating a child missing in a federal facility in the USA. In this context, the study basically aims to propose a legislative model for a missing children policy in Korean multi-use facilities, critically analyzing the US Code Adam Act. Unlike the Act, the proposed Korean bill requires all multi-use facilities beyond a certain size, including private buildings, to arrange a feasible missing child procedure on their own premises. The bill can impose an administrative fine on facilities which don't have the procedure in place, and further can make the list of the facilities known to the public. In order to encourage voluntary participation from the private sector, the bill finally suggests the Voluntary Certification Scheme through which participating business can take advantage of the certification logo commercially.

• Annual Conference of KIPS
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• 2016.10a
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• pp.581-582
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• 2016

매년 많은 실종자가 발생하며 이를 인력으로 해결하는 것은 제한적이다. 본 논문은 드론을 통해 인간이 수색할 수 있는 것보다 넓은 지역의 이미지를 촬영하고, 이 이미지에서 딥 러닝 기술을 기반으로 학습시킨 모델을 통해 실종자의 특징을 인식해 그의 위치를 찾아내는 프로그램에 대해 다룬다. 드론과 인공지능을 접목한 본 프로그램을 통해 실종자들의 높은 복귀율을 기대하게 한다.

• Smart Media Journal
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• v.12 no.9
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• pp.159-170
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• 2023

It takes a lot of time and manpower to search for the missing. As part of the solution, a missing person search AI system was implemented using a YOLO-based model. In order to train object detection models, the model was learned by collecting recognition images (road fixation) of drone mobile objects from AI-Hub. Additional mountainous terrain datasets were also collected to evaluate performance in training datasets and other environments. In order to optimize the missing person search AI system, performance evaluation based on model size and hyperparameters and additional performance evaluation for concerns about overfitting were conducted. As a result of performance evaluation, it was confirmed that the YOLOv5-L model showed excellent performance, and the performance of the model was further improved by applying data augmentation techniques. Since then, the web service has been applied with the YOLOv5-L model that applies data augmentation techniques to increase the efficiency of searching for missing people.

• Journal of the Korea Society of Computer and Information
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• v.26 no.2
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• pp.19-25
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• 2021

In this paper proposes a method of finding missing persons based on face-recognition technology and deep learning. In this paper, a real-time face-recognition technology was developed, which performs face verification and improves the accuracy of face identification through data fortification for face recognition and convolutional neural network(CNN)-based image learning after the pre-processing of images transmitted from a mobile device. In identifying a missing person's image using the system implemented in this paper, the model that learned both original and blur-processed data performed the best. Further, a model using the pre-learned Noisy Student outperformed the one not using the same, but it has had a limitation of producing high levels of deflection and dispersion.

• Convergence Security Journal
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• v.13 no.5
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• pp.215-222
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• 2013

This study aims to provide future direction recognizing the educational importance and to present the way ahead that practices correctly for improving an educational role on security sector to prevent child missing. Therefore, it was conducted with questionnaire that is "Research on participation grade of education to prevent child missing and the actual condition" made by researcher of this study which is on 363of parents of pre-chirdren of 6,7 and 8years old in a kindergarten and an elementary school where is located in metropolitan area. It operated to take processing enterprise statistics using SPSS/WIN 12.0 for getting data, and analyzed frequency and t-verification.It investigated correct selection of an education specialist on preventive education and participation grade of education to prevent missing on home, how often, how it is conducted, then what requirement for educationto prevent child missing and participation grade is, whether difference is in accordance with gender of parentsand gender of child.

• KAPE Magazine
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• s.199
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• pp.22-22
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• 2013

• KAPE Magazine
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• s.209
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• pp.40-40
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• 2014

• JOURNAL OF ELECTRICAL WORLD
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• s.352
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• pp.37-37
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• 2006

• KAPE Magazine
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• s.197
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• pp.42-42
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• 2013

• KAPE Magazine
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• s.201
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• pp.22-22
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• 2013