• Journal of Convergence for Information Technology
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• v.9 no.12
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• pp.17-23
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• 2019

In this paper, I propose a system development methodology that accepts images taken by camera attached to drone in real time while controlling mini drone and recognize and confirm the face of certain person. For the development of this system, OpenCV, Python related libraries and the drone SDK are used. To increase face recognition ratio of certain person from real-time drone images, it uses Deep Learning-based facial recognition algorithm and uses the principle of Triples in particular. To check the performance of the system, the results of 30 experiments for face recognition based on the author's face showed a recognition rate of about 95% or higher. It is believed that research results of this paper can be used to quickly find specific person through drone at tourist sites and festival venues.

• Journal of Convergence for Information Technology
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• v.11 no.12
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• pp.168-175
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• 2021

In this study, a transdisciplinary convergence education program was developed to enhance the understanding for classification of reptiles and amphibians in biology education and also to increase AI (Artificial Intelligence) capability by using artificial intelligence education. The main content is to solve the classification of reptiles and amphibians that has been dealt with for a long time in biology education, using a decision tree and ML4K (Machine Learnig for Kids), it was designed for a total of 3 lessons. Experts review was conducted on the developed education program, as a result, the I-CVI(Item Content Validity Index) value was .88~1.00 so that can secure content validity. This education program has the advantage of being able to simultaneously learn about the learning contents of artificial intelligence in informatics and the classification of vertebrates in the biological education. In addition, since it is configured to minimize the cognitive load in the AI using part, it is characterized by the fact that all of any teachers can apply it their lesson easily.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.205-211
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• 2022

Various radioactive materials exist around us. In recent years, as interest in health has increased along with the improvement of the quality of life, examinations using radiation are also increasing. This research defined aforementioned radiation as a living radiation and developed a measurement to measure general knowledge people have on it. Eighteen reliable items were developed; current status on general knowledge regarding the safety of living radiation was analyzed using the items. As a result, a group with radiation-related education got statistically higher score than a group without such education. Correlation analysis and regression analysis showed that higher attention on usual safety leads into the greater knowledge on safety of living radiation. Therefore, this research shed lights on the necessity of radiation safety-related education in current educational course in schools.

• Journal of Convergence Society for SMB
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• v.1 no.1
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• pp.19-28
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• 2011

In today and near future, most of the commercially manufactured IT products will be evolved into software convergence product. Recently, the embedded software products is called as 'Software Convergence Products.' This phenomenon does not simply show the trendy fashion, but has the seriously implication that the functionalities of IT product is accomplished and evolved via software technology, not via mechanical nor electrical means. It will become true that the quality of the convergence product is dominantly governed by the software it uses. Meanwhile, we are facing with the threatening fact that software defects in the mass products will requires tremendous amounts of cost proportional to the quantity of the product. We can remind ourselves of the disasters that have been already happened, such as Automotive recalls, Smart-phone recalls, and others. In software engineering, there have been large amount of work done in software quality improvement for the past couple of decades. Software process improvement, and testings are the representative ones. But we are facing with limitations of those traditional approaches in current convergence industry; exponentially increasing software sizes and rapid changes in software technology. In this paper, we analyze the characteristics of the software convergence industry, the limitations of the traditional Software quality improvement approaches. We suggest a new approaches in software quality improvement in different angles of thought and philosophy.

• Journal of Convergence for Information Technology
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• v.8 no.2
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• pp.171-181
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• 2018

The purpose of this study is to suggest the implications for maximizing the efficiency of job training conducted by companies through studying the effects of job education and training programs on job efficiency and job satisfaction. This study surveyed 300 employees of medium and large companies in Cheongju. The causality was verified based on the collected questionnaires. The results of the study are as follows. First, companies should understand the educational needs of heir employees and develop and operate employee-centered education programs. Second, companies need to have an autonomous system in order to allow voluntary application of education that can help employees to perform their duties among the external education programs. Third, companies should uncover the needs of their employees in various ways and build up the latest educational materials and educational environment to establish new knowledge and learning conditions. Finally, companies should recognize their employees as a concept of their partners and respect each employee's capabilities so that they can have autonomy and fun in their work activities.

• Journal of Convergence for Information Technology
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• v.10 no.6
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• pp.140-146
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• 2020

Since the current crime prevention systems have a standard mechanism that victims request for help by themselves or ask for help from a third party nearby, it is difficult to obtain appropriate help in situations where a prompt response is not possible. In this study, we proposed and developed an automatic rescue request model and system using Deep Learning and OpenCV. This study is based on the prerequisite that immediate and precise threat detection is essential to ensure the user's safety. We validated and verified that the system identified by more than 99% of the object's accuracy to ensure the user's safety, and it took only three seconds to complete all necessary algorithms. We plan to collect various types of threats and a large amount of data to reinforce the system's capabilities so that the system can recognize and deal with all dangerous situations, including various threats and unpredictable cases.

• Journal of Convergence for Information Technology
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• v.10 no.6
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• pp.8-13
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• 2020

In this paper, we study smart healthcare devices that enable active health care by building health care system with acquaintances or family members rather than single health care. The company develops health care services for families regardless of age and gender through intuitive UI design as a target for young users who serve elderly parents. Automated collection of health information and real-time feedback are available, and data can be aggregated and analyzed through repeaters. It can also utilize structured databases in the form of big data. The services offered can be used to prevent diseases and reduce medical expenses through health care, while automatic management can maximize users' convenience and increase demand. By reducing the development period of products that are based on this technology, reducing the development period of products and strengthening competitiveness, the company has the advantage of inducing generation-to-generation communication in an era when it is becoming a nuclear family.

• Journal of Convergence for Information Technology
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• v.10 no.6
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• pp.19-27
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• 2020

In this study, Developing high resolution camera and Social Network Service sharing image can be easily getting images, it cause about taking fingerprints to easy from images. So I present solution about prevent to taking fingerprints. this technology is develop python using to opencv, blur libraries. First of all 'Hand Key point Detection' algorithm is used to locate the hand in the image. Using this algorithm can be find finger joints that can be protected while minimizing damage in the original image by using the coordinates of separate blurring the area of fingerprints in the image. from now on the development of accurate finger tracking algorithms, fingerprints will be protected by using technology as an internal option for smartphone camera apps from high resolution images.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.38-43
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• 2021

As the number of augmented reality games using augmented reality technology increases, the demands of users are also increasing. Game technologies used in augmented reality games are mainly games using MARKER, MARKERLESS, GPS, etc. Games using this technology can augment the background and other objects. To solve this problem, we want to help develop augmented reality games by analyzing objects in the background, which is an important element of augmented reality. To analyze the background in the augmented reality game, the background object was analyzed by applying a deep learning model using TensorFlow Lite in the UNITY engine. Using this result, we obtained the result that augmented objects can be placed in the game according to the types of objects analyzed in the background. By utilizing this research, it will be possible to develop advanced augmented reality games by augmenting objects that fit the background.

• Journal of Convergence for Information Technology
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• v.11 no.12
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• pp.115-126
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• 2021

This study develops a simulation model that performs flood analysis considering both urban and river flood. For the analysis of river flood, this study considers river overflow by levee breach, and reflects the concept of the dual drainage systems for the analysis of urban flood. In relation to the surface flood analysis, FEM technique is applied to the flood diffusion analysis in order to conduct the flow analysis of urban and river flood simultaneously. For the verification of the model, it is first applied to the conceptual model, and then applied to the actual watershed. It is expected that this study will be able to reduce flood damage and to prepare effective countermeasures to reduce flood damage.