• Journal of Multimedia Information System
• /
• 제6권1호
• /
• pp.1-6
• /
• 2019

In the field of industrial applications, the real-time performance of the target detection problem is very important. The most serious time consumption in the pedestrian detection process is the extraction phase of the candidate window. To accelerate the speed, in this paper, a fast extraction of pedestrian candidate window based on the BING (Binarized Normed Gradients) algorithm replaces the traditional sliding window scanning. The BING features are extracted with the positive and negative samples and input into the two-stage SVM (Support Vector Machine) classifier for training. The obtained BING template may include a pedestrian candidate window. The trained template is loaded during detection, and the extracted candidate windows are input into the classifier. The experimental results show that the proposed method can extract fewer candidate window and has a higher recall rate with more rapid speed than the traditional sliding window detection method, so the method improves the detection speed while maintaining the detection accuracy. In addition, the real-time requirement is satisfied.

• 한국산업융합학회 논문집
• /
• 제26권4_2호
• /
• pp.553-559
• /
• 2023

In the case of a government's digital platform, that is exploring public software for the first time through private investment, it's important to conduct a feasibility analysis and select appropriate methods before promoting digital projects. Looking ahead, it's crucial to provide direction for the private-invested public software market to enter the global software market.

• 디지털산업정보학회논문지
• /
• 제19권3호
• /
• pp.177-192
• /
• 2023

The employment rate of university graduates has been decreasing significantly recently. With the advent of the Fourth Industrial Revolution, the demand for software employment has increased. It is necessary to analyze the factors for software employment of university graduates. This paper proposes explainable software employment model of university graduates using machine learning and explainable AI. The Graduates Occupational Mobility Survey(GOMS) provided by the Korea Employment Information Service is used. The employment model uses boosting machine learning. Then, performance evaluation is performed with four algorithms of boosting model. Moreover, it explains the factors affecting the employment using SHAP. The results indicates that the top 3 factors are major, employment goal setting semester, and vocational education and training.

• 한국컴퓨터정보학회:학술대회논문집
• /
• 한국컴퓨터정보학회 2020년도 제62차 하계학술대회논문집 28권2호
• /
• pp.289-290
• /
• 2020

본 논문에서는 오픈 소스인 openpose skeleton tracking 기술을 이용하여 특정 운동 동작을 영상처리 기술과 딥러닝 기술로 인체 자세에 대해서 인지와 상황 판단하여 운동 동작에 대한 인식 결과를 도출할 수 있다. 먼저 입력받은 영상을 전달받아서 딥러닝 인식 시스템를 통해 인식 결과을 추출한 뒤 비교, 분석한 후에 사전 등록된 운동 동작 명칭으로 화면에 표시하여 이용자가 정확한 동작을 취할 수 있도록 지도하는 데 활용할 수 있다. 또한, 이 기술은 행동 인식부터 얼굴 인식, 손동작 인식 등에 다양하게 활용할 수 있다.

• International journal of advanced smart convergence
• /
• 제13권2호
• /
• pp.258-266
• /
• 2024

E-learning systems have proliferated in recent years, particularly in the wake of the global COVID-19 pandemic. For kids, there isn't a specific online learning platform available, though. To do this, new conceptual models of training and learning software that are adapted to the abilities and preferences of end users must be created. Young pupils: those in kindergarten, preschool, and elementary school are unique subjects with little research history. From the standpoint of software technology, young students who have never had access to a computer system are regarded as specific users with high expectations for the functionality and interface of the software, social network connectivity, and instantaneous Internet communication. In this study, we suggested creating an electronic learning management system that is web-based and appropriate for primary school pupils. User-centered design is the fundamental technique that was applied in the development of the system that we are proposing. Test findings have demonstrated that students who are using the digital environment for the first time are studying more effectively thanks to the online learning management system.

• 디지털산업정보학회논문지
• /
• 제20권1호
• /
• pp.31-45
• /
• 2024

The purpose of this study is to explain employment factors in the software field. For it, the Graduates Occupational Mobility Survey by the Korea employment information service is used. This paper proposes employment models in the software field using machine learning. Then, it explains employment factors of the models using explainable artificial intelligence. The models focus on both university graduates and vocational college graduates. Our works explain and interpret both black box model and glass box model. The SHAP and EBM explanation are used to interpret black box model and glass box model, respectively. The results describes that positive employment impact factors are major, vocational education and training, employment preparation setting semester, and intern experience in the employment models. This study provides a job preparation guide to universitiy and vocational college students that want to work in software field.

• 한국정보과학회논문지:소프트웨어및응용
• /
• 제27권2호
• /
• pp.97-107
• /
• 2000

증가학습은 점진적으로 학습 데이타를 늘려가며 신경망을 학습시킴으로써 일반적으로 학습시간을 단축시킬 뿐만 아니라 신경망의 일반화 성능을 향상시킨다. 그러나, 기존의 증가학습은 학습 데이타를 선정하는 과정에서 데이타의 중요도를 반복적으로 평가한다. 본 논문에서는 분류 문제의 경우 학습이 시작되기 전에 데이타의 중요도를 한 번만 평가한다. 제안된 방법에서는 분류 문제의 경우 클래스 경계에 가까운 데이타일수록 그 데이타의 중요도가 높다고 보고 이러한 데이타를 선택하는 방법을 제시한다. 두가지 합성 데이타와 실세계 데이타의 실험을 통해 제안된 방법이 기존의 방법보다 학습 시간을 단축시키며 일반화 성능을 향상시킴을 보인다.

• 실천공학교육논문지
• /
• 제15권2호
• /
• pp.467-474
• /
• 2023

안전 불감증으로 인해 많은 인재가 발생하고 있는 우리나라 상황에서는 재난이 발생했을 때 대응할 수 있는 재난 안전교육이 매우 중요하다. 최근 가상현실 디바이스 및 제작 기술이 발전하며, 안전교육 분야에서 가상현실 기술을 접목한 훈련시스템 활용의 가능성이 주목받고 있다. 가상훈련시스템은 몰입감이 뛰어나고 시공간의 제약없이 다양한 재난상황을 체험할 수 있어 훈련 및 교육에 매우 효과적이다. 본 연구에서는 우리나라 재난 안전 가상훈련 콘텐츠 사례들을 수집 조사하여 국내 재난안전 가상훈련 콘텐츠의 현황을 파악하고 분석하여 문제점을 도출하고 이에 대한 개선방안을 제안한다.

• International journal of advanced smart convergence
• /
• 제8권4호
• /
• pp.147-153
• /
• 2019

Recently, the perception of software education, which had been considered as a field of education for programmers in this field, is changing in response to recent changes with the trend of 4th industrial revolution. Major counties competitively invest in software education and the target age group for software education is also on the decline. However, the traditional text-based programing languages such as JAVA and Python, have a high entry barrier. To address the shortcoming, a variety of methods have been recently proposed for the effective software education for kindergarten and elementary school student. In this paper, we propose a robot-based coding education system with steps for coding education for effective software education. The proposed method is divided into three stages, depending on the level of the student being trained in the software coding education to interact with robots. The proposed stages consists of unplugged coding using a remote control, coding using a graphic-based programming language and text- based coding. We conducted an experiment with performing separate missions while providing propoer tutorials for each stage to verify the effectiveness of the proposed software education system.

• Journal of Community Nutrition
• /
• 제7권3호
• /
• pp.149-155
• /
• 2005

This exploratory study investigated the software programs utilized by clinical dietitians and their perceptions on the use of information technology. The study focused on the use of specialized software for dietetics, general software for any office use and the Internet. A self-administered survey was used to collect data from clinical dietitians identified in the Kentucky Dietetic Association Directory 2003-2004. The survey was conducted in March through April, 2004. A total of 22 responses were collected, which yielded a response rate of $68\%$. Findings suggest that computer use has become a routine for optimal clinical practice ; major specialized software programs are used for nutrition assessment, nutrition analysis and menu development. Use of specialized software appears to be unassociated with dietitians' age and years of experience ; however, the associations are indicated between use of specialized software and education level as well as their specialty ; word processing and spreadsheet are the major general software used. Internet is used mainly for information search and communication. Respondents perceived that overall work efficiency and productivity significantly increased with computer use. The complexity of software is the major barrier encountered so training is the most needed support by the department. Strategic promotion on the use of specialized software should be targeted to the management team of the hospitals/facilities.