• Journal of Convergence for Information Technology
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• v.10 no.7
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• pp.14-19
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• 2020

This study suggests an accounting information processing model based on internet standard XBRL which applies an extensible business reporting language, the XML technology. Due to the differences in document characteristics among various companies, this is very important with regard to the purpose of accounting that the system should provide useful information to the decision maker. This study develops a data mining model based on XML hierarchy which is stored as XBRL in the X-Hive data base. The data ming analysis is experimented by the data mining association rule. And based on XBRL, the DC-Apriori data mining method is suggested combining Apriori algorithm and X-query together. Finally, the validity and effectiveness of the suggested model is investigated through experiments.

• Journal of Convergence for Information Technology
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• v.7 no.4
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• pp.69-74
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• 2017

ICT(Information Communication Technology) is a key word in our society on today. Various support programs by the government have given many quantitative and qualitative changes to the software industries. Software is instructions(Computer Program) and data structure. Software can be divided into Application program and System program. Application programs have been developed to perform special functions or provide entertainment functions. Because of this rapid growth of software industries, one of the problems is issue on copyright of program. In this paper, we described an analysis method for program similarity based on source code in program.

• Journal of Convergence for Information Technology
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• v.8 no.5
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• pp.153-158
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• 2018

In this paper, we have studied a dimming level control method to satisfy both lighting and communication performance in visible light communication system. In the case of the most commonly used OOK and RZ-OOK modulation schemes, continuous Burst Zero Duration will seriously degrade the lighting function. This causes not only the illumination but also the performance of the entire system to deteriorate. Through this study, we analyzed the dimming level characteristics of the existing system and proposed the Illegal Pulse Insertion (IPI) algorithm as a technique to increase the dimming level. Through this, it is possible to effectively control the dimming level and improve the QoS of both lighting and communication by resolving the flicker phenomenon and dimming level reduction in the existing modulation and demodulation system.

• Journal of Convergence for Information Technology
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• v.7 no.2
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• pp.67-76
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• 2017

Along with shortening the life cycle of software utilization and supporting various types of user functions, the importance of software architecture development has been emphasized recently. If a software architecture is developed flexibly and reliably for expansion to support new functionality, it can quickly cope with new market demands. This paper proposes an architecture design method based on design recovery of open source software to reuse the software in the development of sustainable software system. When using open source software to develop a software system based on software architecture, we can develop a software system rapidly and also can improve the reliability of the system because we use the already proven open source software in the development.

• Journal of Convergence for Information Technology
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• v.9 no.1
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• pp.68-73
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• 2019

This study is the central axis of the MG (Micro-Grid) configuration and it has the link through the modular hybrid power source and the DC bus, and it provides the function to detect and block the illegal connection by using the standard socket, And to achieve stabilization. Development of power conversion device, smart distribution panel, integrated control system and efficient demand management are required, and compatibility with MG whole system is urgent. This is a hybrid power generation system that is safe with a common power connection protocol and can be easily connected to anyone. This makes it easy to manage data and prepare for expansion of various manufacturers' systems.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.1-8
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• 2019

Dialog system is becoming a new dominant interaction way between human and computer. It allows people to be provided with various services through natural language. The dialog system has a common structure of a pipeline consisting of several modules (e.g., speech recognition, natural language understanding, and dialog management). In this paper, we tackle a task of domain classification for the natural language understanding module by employing machine learning models such as convolutional neural network and random forest. For our dataset of seven service domains, we showed that the random forest model achieved the best performance (F1 score 0.97). As a future work, we will keep finding a better approach for domain classification by investigating other machine learning models.

• Journal of Convergence for Information Technology
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• v.11 no.2
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• pp.16-24
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• 2021

This paper introduces a smart aging service that helps the elderly lead a happy old age by actively utilizing IoT and AI technologies for the elderly who are increasing rapidly as they enter the aging society. In particular, we propose a future-oriented, age-friendly well-being support system that breaks away from the existing welfare concept to solve the aging problem but leads to a paradigm shift toward building a vibrant aging society by protecting from emergency and satisfying emotions. By introducing IoT and AI, it judges the life situation and emotional state from the living information of the elderly can respond to emergencies and suggest meetings as a change of mood and give an emotional comfort. Since the proposed system uses artificial intelligence techniques to determine the degree of depression when inputting information such as pulse-rate, dangerous word usage, and external communication, I think it showed the feasibility of the new concept of wellbeing support system that is totally different from conventional wellbeing concept of health-care.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.47-53
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• 2022

Recently, with the change of the intelligent security paradigm, study to apply various information generated from various information security systems to AI-based anomaly detection is increasing. Therefore, in this study, in order to convert log-like time series data into a vector, which is a numerical feature, the CBOW and Skip-gram inference methods of deep learning-based Word2Vec model and statistical method based on the coincidence frequency were used to transform the published ADFA system call data. In relation to this, an experiment was carried out through conversion into various embedding vectors considering the dimension of vector, the length of sequence, and the window size. In addition, the performance of the embedding methods used as well as the detection performance were compared and evaluated through GRU-based anomaly detection model using vectors generated by the embedding model as an input. Compared to the statistical model, it was confirmed that the Skip-gram maintains more stable performance without biasing a specific window size or sequence length, and is more effective in making each event of sequence data into an embedding vector.

• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.195-201
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• 2020

There have been many developments and innovations in the educational environments in line with the rapidly evolving information age. E-Learning is a representative example of this rapid evolution. However, E-Learning is challenging to maintain students' concentration because of the low engagement level and limited interactions between instructors and students. Additionally, instructors have limitations in identifying learners' concentration. This paper proposes a system that can measure E-learning users' concentration levels by detecting the users' eyelid movement and the top of the head. The system recognizes the eyelid and the top of the head and measures the learners' concentration level. Detection of the eyelid and the top of the head triggers an event to assess the learners' concentration level based on the users' response. After this process, the system provides a normalized concentration score to the instructor. Experiments with experimental groups and control groups were conducted to verify and validate the system, and the concentration score showed more than 90% accuracy.

• Journal of Convergence for Information Technology
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• v.9 no.1
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• pp.38-44
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• 2019

As 4th industrial revolution era has come, autonomous driving vehiecle gets its attention for commercialization and development and thus its impact on society. To this end, several countries such as US, England and Germany are preparing their own legal systems to come up with commercialization of autonomous driving vehiecle. In this country, Korea is also developing autonomous driving vehiecle and looking forward its commercialization yet the legal system of Korea lacks of laws, regulations, rules, guidelines and so on. Hence, it is our intention to look into Korean legal system providing the analysis of current Korean legal system in detail. This paper also provides further directions to have balance between commercialization success and risk management in this country and, as a result creates a small step toward 4th industrial revolution society.