• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권3호
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• pp.1121-1141
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• 2020

We propose a robust visual object tracking algorithm fusing a convolutional neural network tracker trained offline from a large number of video repositories and a color histogram based tracker to track objects for mixing immersive audio. Our algorithm addresses the problem of occlusion and large movements of the CNN based GOTURN generic object tracker. The key idea is the offline training of a binary classifier with the color histogram similarity values estimated via both trackers used in this method to opt appropriate tracker for target tracking and update both trackers with the predicted bounding box position of the target to continue tracking. Furthermore, a histogram similarity constraint is applied before updating the trackers to maximize the tracking accuracy. Finally, we compute the depth(z) of the target object by one of the prominent unsupervised monocular depth estimation algorithms to ensure the necessary 3D position of the tracked object to mix the immersive audio into that object. Our proposed algorithm demonstrates about 2% improved accuracy over the outperforming GOTURN algorithm in the existing VOT2014 tracking benchmark. Additionally, our tracker also works well to track multiple objects utilizing the concept of single object tracker but no demonstrations on any MOT benchmark.

• 한국컴퓨터정보학회논문지
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• 제18권8호
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• pp.141-148
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• 2013

본 논문은 질적연구방법론을 적용하여 다양한 형태의 블렌디드 러닝 수업 모델을 설계 적용하여 2개 학기에 걸쳐 온라인 대학과 오프라인 대학을 대상으로 연구하였다. 블렌디드 러닝의 학습효과에 대한 실험 참가자들의 반응을 설문조사 하였으며, 인터뷰를 실시하여 블렌디드 러닝에 직접적으로 발생되는 원가와 학습 성과를 파악하였다. 실험을 통해 블렌디드 러닝은 온라인 대학에서는 교육의 질 제고 측면에서, 오프라인 대학에서는 직 간접적 원가 절감 효과가 두드러지게 나타남을 파악하였다. 그밖에 다양한 학습성과와 원가발생에 대하여 검증하고 시사점을 도출하였다.

• 유통과학연구
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• 제15권8호
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• pp.65-73
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• 2017

Purpose - Although e-learning has this advantage, currently many organizations have failed to recognize the necessity for basic e-learning educational training. It follows that practitioners working in the above organizations face the difficulty of having to find educational training processes of boosting their capabilities by themselves, rather than being able to utilize the educational training processes offered by e-learning. So of their own accord, learners have considered the necessity of information relating to being able to choose between high quality educational training processes. The purpose of this study is to propose opening e-learning content information for enabling an efficient choice of learning processes related to e-learning. Research design, data, and methodology - To pinpoint the items of e-learning content information, the study was initiated according to the following process. First, information relating to e-learning content (offered on e-learning websites) was researched. Second, based on the items of information which emerged from the research, selection and validity verification took place with 5 e-learning specialists as the subjects. Third, the opinions of adult learners at K University were collated relating to the items of information which emerged from the research. Results - The e-learning content information was comprised of 16 items in order to improve the choosing process for learner's e-learning contents. The analysis results showed that when learners were choosing e-learning processes, the most highly considered item was 'mobile support' (4.35). Following this (in order) were 'tuition fees' (4.30), 'certificate issuing' (4.23), and 'awareness of educational institution' (4.18). The least considered items were 'recruiting learners' (3.01) and 'tutor support' (3.18). Conclusions - The 16 items of e-learning content information in this study, were deemed to be helpful to learners in providing them with a choice of desirable e-learning process when this process was offered to them. Following this, there is a need for service institutions offering e-learning processes to make public the information suggested by this study. Research into educational methods additionally points to a necessity for not only e-learning forms, but also offline educational methods and a combination of blended learning to be offered and run parallel to e-learning.

• 복식문화연구
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• 제28권4호
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• pp.527-543
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• 2020

The aim of this study is develop a state-funded education and training curriculum to contribute to the development of the fashion industry infrastructure. This will be achieved based on the service sector by the competitive clothing sales personnel and fashion startups. The study was conducted using a qualitative research method. The participants were 20 representatives of fashion-related companies and employees from one traditional market and two fashion outlets in Seogu, Gwangju. Data was collected from September 2015 to January 2017 by demand surveys and in-depth interviews. These were conducted on the same day at each clothing store office. In addition, existing literature was also reviewed. The collected data were first summarized into 64 meaning units from which three themes were derived by arranging, classifying, and analyzing the data. The findings of the study are as follows. First, the education and training curriculum for fashion job creation is aimed at job-oriented field-types with the objective of cultivating professional skills for online to offline fashion professionals. Second, the curriculum for fashion advisors was developed to consisted of 8 courses of 150 hours, including job knowledge, a foreign language, fashion-specific knowledge, fashion marketing & VMD, store management know-how, clothing repair, field trip, and internship. Third, the curriculum for fashion entrepreneurs consisted of 8 courses of 106 hours, including entrepreneurship, fashion practice, startup, field trip, finance & taxation accounting, marketing, social enterprise course, and internship.

• 한국인터넷방송통신학회논문지
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• 제24권4호
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• pp.15-20
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• 2024

지자체는 초고령사회로 인해 발생하는 정보 격차를 해소하기 위해 고령자를 대상으로 스마트폰 사용법 교육을 실시하고 있다. 하지만 1 대 다수의 교육 방식은 한계가 있으며, 고령자의 학습 효과가 미흡하여 어려움을 겪고 있다. 이 연구는 이러한 문제를 해결하고자 고령자가 반복 학습할 수 있는 환경을 고려하여, 오프라인 교육 현장에서 사용할 수 있는 교육용 서비스를 제안한다. 이 서비스는 생성형 AI를 사용하여 사용자가 실제로 어려워하는 부분을 식별하고, 개인별로 맞춤형 문제를 제공하여 개별화된 실습을 가능하게 한다. 이 앱을 기존의 지자체 교육 프로그램과 통합하여 활용하면, 1:1 맞춤형 교육, 시간 효율성, 그리고 교육 내용의 적절성 측면에서 스마트폰 교육의 효율성이 크게 향상될 것으로 기대된다.

• International journal of advanced smart convergence
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• 제11권3호
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• pp.49-55
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• 2022

Hair styling has a significant influence on human social perception. An increasing number of people are learning hair styling and obtaining hair designer licenses. However, it takes a considerable amount of money and time to learn professional hairstyle and beauty techniques for hair styling. Since COVID-19, there has been a growing need for offline and video lectures due to the decline in onsite training opportunities. This study provides a field practice environment in which real hair beauty is performed in a virtual space. Further, the hairstyle that is most similar to the user's hair taken with a webcam or mobile phone is determined through an image matching system using the speeded up robust features (SURF) method. The matching hairstyle was created into a three-dimensional (3D) hair model. The created 3D hair model uses a head-mounted display (HMD) and a controller that enables finger tracking through mapping to reproduce the haircutting scissors' motion while providing a feeling of real hair beauty.

• 한국콘텐츠학회논문지
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• 제19권12호
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• pp.313-320
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• 2019

현재 발생하고 있는 많은 해킹 피해 사례들의 요인들 중 하나는 사회 공학적 공격이다. 이러한 공격을 수행하는 주체는 악의적인 배신자 혹은 무지한 내부자인 경우가 많다. 이에 대한 해법으로 조직 내 직원의 보안교육과 같은 관리적 보안의 강화를 들고 있다. 그럼에도 불구하고 현업에서는 불가피하게 컴퓨터를 공유하는 상황들이 빈번하게 일어나고 있다. 이런 경우 컴퓨터의 소유자는 공유를 받는 특정 대리인이 언제 접근했고 어떤 행위를 하는지에 대한 실시간 추적 및 대응이 어려운 점이 있다. 본 논문에서는 해킹된 인증수단 혹은 공유를 받은 인증수단을 통해 대리인이 오프라인으로 컴퓨터에 접근했을 때 컴퓨터의 소유자가 스마트폰을 통해 대리인들이 언제 컴퓨터에 접근하는 지를 실시간으로 추적하는 방안을 제안한다. 또한 비정상 접근 시에 스마트폰을 통해 PC의 중요 파일을 암호화 및 백업함으로써 중요 정보 유출에 대응하는 방안을 제안한다.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제10권11호
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• pp.513-520
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• 2021

최근 학습, 교육 및 훈련으로 일컫는 이러닝 분야에서 교육(education)과 기술(technology)이 접목된 에듀테크(edutech)에 대한 연구가 활발하게 진행되고 있다. 그러나 디지털 기기에서 자동으로 수집이 가능한 학습활동 데이터를 기반으로 학습자 개개인에게 맞춤형 학습을 제공하는 연구는 많으나, 오프라인 학습에서 추출하고 활용해야 할 데이터의 수집 연구는 적다. 이에 본 연구는 데이터 수집 연구를 위해 인공지능 컴퓨터 비전 기술을 이용하여 교재 또는 문제지의 문항 검출 방법을 연구한다. 이는 교재 또는 문제지에 대한 디지털로의 변환작업 없이도 오프라인 학습활동 데이터를 수집·저장·분석하여 지능화 교육 서비스와 연계를 통해 오프라인 학습에서도 학습자의 개인 맞춤형 학습 서비스 제공한다.

• International Journal of Computer Science & Network Security
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• 제24권2호
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• pp.101-112
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• 2024

Telugu language is considered as fourth most used language in India especially in the regions of Andhra Pradesh, Telangana, Karnataka etc. In international recognized countries also, Telugu is widely growing spoken language. This language comprises of different dependent and independent vowels, consonants and digits. In this aspect, the enhancement of Telugu Handwritten Character Recognition (HCR) has not been propagated. HCR is a neural network technique of converting a documented image to edited text one which can be used for many other applications. This reduces time and effort without starting over from the beginning every time. In this work, a Unicode based Handwritten Character Recognition(U-HCR) is developed for translating the handwritten Telugu characters into English language. With the use of Centre of Gravity (CG) in our model we can easily divide a compound character into individual character with the help of Unicode values. For training this model, we have used both online and offline Telugu character datasets. To extract the features in the scanned image we used convolutional neural network along with Machine Learning classifiers like Random Forest and Support Vector Machine. Stochastic Gradient Descent (SGD), Root Mean Square Propagation (RMS-P) and Adaptative Moment Estimation (ADAM)optimizers are used in this work to enhance the performance of U-HCR and to reduce the loss function value. This loss value reduction can be possible with optimizers by using CNN. In both online and offline datasets, proposed model showed promising results by maintaining the accuracies with 90.28% for SGD, 96.97% for RMS-P and 93.57% for ADAM respectively.

• 동의신경정신과학회지
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• 제35권1호
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• pp.1-13
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• 2024

Objectives: This study aims to develop an educational program based on a manual for disaster medical support using Korean medicine (KM) for disaster survivors. Methods: We conducted a literature review on another educational program, a focus group interviews with experts, a survey of the academic needs of Korean medicine (KM) doctors, educational competency development, and an expert Delphi survey. Results: This program was designed using a hybrid method combining online (4 h) and offline (8 h) elements; the total time of the program is 12 h. The offline course consists of theory (4 h) and practice (4 h) lectures. The theory lecture covers herbal medicine, acupuncture, stabilizing technique, emotional freedom technique, and self-management, and the practice lecture covers stabilizing technique, emotional freedom technique, and clinical performance evaluation. Meanwhile, the online course covers a manual for disaster medical support using KM and an introductory course from the National Center for Disaster and Trauma. Conclusions: The results of this study are expected to be useful for enhancing training for KM doctors in trauma care for disaster survivors as well as evaluating and validating the program's effectiveness.