• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.2
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• pp.74-88
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• 2020

A Cooperative Intelligent Transportation System (CITS) provides useful information on upcoming hazards in order to prevent vehicle collisions. In addition, the availability of individual vehicle travel information obtained from the CITS infrastructure allows us to identify the level of road safety in real time and based on analysis of the indicators representing the crash potential. This study proposes a methodology to derive road safety content, and presents evaluation results for its applicability in practice, based on simulation experiments. Both jerk and Stopping Distance Index (SDI) were adopted as safety indicators and were further applied to derive road section safety information. Microscopic simulation results with VISSIM show that 5% and 20% samples of jerk and SDI are sufficient to represent road safety characteristics for all vehicles. It is expected that the outcome of this study will be fundamental to developing a novel and valuable system to monitor the level of road safety in real time.

• Hwankyungkyoyuk
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• v.21 no.1
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• pp.70-81
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• 2008

The purpose of this study is to analyze the status of new & renewable energy education in elementary school textbooks and to develop workbook related new & renewable energy education for elementary school students. The results of this study are as follows. First, in the result of contents analysis energy education and new & renewable energy education through textbooks on 7th elementary school curriculum, subjects including contents related energy are Disciplined Life, Intelligent Life, Moral Education, Social Studies, Science, and Practical Arts. Contents related new & renewable energy are taught $4{\sim}6th$ grades but the quantity and quality of contents are very poor. Second, this study developed workbook related new & renewable energy education for 5th and 6th grades. The workbook is organized with 5 themes that are the need of new & renewable energy, the definition and kinds of new & renewable energy, strengths and weakness of new & renewable energy development, a case of new & renewable energy, and the application of new & renewable energy to practical life. Third, to improve workbook developed, it was applied to 6th grade and then more appropriately modified. Based on the results, it suggests the following for new & renewable energy education. Energy education in elementary school must equally be taught through the all scope of energy education. To solve the energy problem, the content related new & renewable energy education should be included much more both quantity and quality. New & renewable energy education workbook developed in this study is expected to reinforce current textbooks that is being taught a little content of new & renewable energy education.

• Journal of Intelligence and Information Systems
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• v.10 no.3
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• pp.133-146
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• 2004

By the development of the network technology, the types and amount of information that users keep in contact with have been dramatically increased. As a result, users are consuming a lot of time and energy to find needed information. On this, this article presents a new methodology that can efficiently manage their information within small cost by using content-based recommendation method and keyword affinity method. By using keyword affinity method, this methodology solves the content-based recommendation method's weak point that the performance is not good within the environment that the preferences of users are rapidly changing and new contents are created continuously and the accuracy level is low until the information of preferences are sufficiently gathered. This article carried out research on the personal e-mail environment where new information is frequently created and disappeared. Also this article assists folder recommendation for the efficient management of e-mail and verified the methodology mentioned above by an experiment to compare the performance of existing folder recommendation methods with the performance of this new method.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.275-286
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• 2022

The metaverse platform has been gaining popularity since the pandemic. It facilitates non-face-to-face interaction among creators, users, advertisers, various forms of organizations, and itself. Such interaction has brought light to the new forms of economy, which is called the "creator economy." By providing the virtual space, easy tools, and methods, the platform allows the creators to produce value for the users in the forms of virtual items, content, and experiences. At the same time, it provides audiences to the organizations that need attention. In the course, the platform and the creators generate revenue. Among the diverse revenue sources, this study focuses on revenue generated from advertising and studies how the revenue sharing between the platform and the creator is affected by the abilities of the metaverse platform. With an analysis of the analytical model, we show that if the platform has the ability to reduce advertising avoidance, it can reduce the revenue share of the creator without discouraging the creator from making the proper effort in content creation. Also, as the platform provides effective tools and methods for quality content creation, it can reduce the revenue share of the creator without damaging the creator's required motivation. The ability of the platform in increasing advertising effectiveness helps it to reduce the revenue share of the creator as well.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.77-90
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• 2023

Today, crops face many characteristics/diseases. Insect damage is one of the main characteristics/diseases. Insecticides are not always effective because they can be toxic to some birds. It will also disrupt the natural food chain for animals. A common practice of plant scientists is to visually assess plant damage (leaves, stems) due to disease based on the percentage of disease. Plants suffer from various diseases at any stage of their development. For farmers and agricultural professionals, disease management is a critical issue that requires immediate attention. It requires urgent diagnosis and preventive measures to maintain quality and minimize losses. Many researchers have provided plant disease detection techniques to support rapid disease diagnosis. In this review paper, we mainly focus on artificial intelligence (AI) technology, image processing technology (IP), deep learning technology (DL), vector machine (SVM) technology, the network Convergent neuronal (CNN) content Detailed description of the identification of different types of diseases in tomato and potato plants based on image retrieval technology (CBIR). It also includes the various types of diseases that typically exist in tomato and potato. Content-based Image Retrieval (CBIR) technologies should be used as a supplementary tool to enhance search accuracy by encouraging you to access collections of extra knowledge so that it can be useful. CBIR systems mainly use colour, form, and texture as core features, such that they work on the first level of the lowest level. This is the most sophisticated methods used to diagnose diseases of tomato plants.

• Journal of the Earthquake Engineering Society of Korea
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• v.28 no.1
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• pp.33-39
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• 2024

Understanding the behavior of soil under cyclic loading conditions is essential for assessing its response to seismic events and potential liquefaction. This study investigates the effect of non-plastic fines content (FC) on excess pore pressure generation in medium-density sand-silt mixtures subjected to strain-controlled cyclic direct simple shear (CDSS) tests. The investigation is conducted by analyzing excess pore pressure (EPP) ratios and the number of cycles to liquefaction (Ncyc-liq) under varying shear strain levels and FC values. The study uses Jumunjin sand and silica silt with FC values ranging from 0% to 40% and shear strain levels of 0.1%, 0.2%, 0.5%, and 1.0%. The findings indicate that the EPP ratio increases rapidly during loading cycles, with higher shear strain levels generating more EPP and requiring fewer cycles to reach liquefaction. At 1.0% and 0.5% shear strain levels, FC has a limited effect on Ncyc-liq. However, at a lower shear strain level of 0.2%, increasing FC from 0 to 10% reduces Ncyc-liq from 42 to 27, and as FC increases further, Ncyc-liq also increases. In summary, this study provides valuable insights into the behavior of soil under cyclic loading conditions. It highlights the significance of shear strain levels and FC values in excess pore pressure generation and liquefaction susceptibility.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.1-13
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• 2023

The widespread adoption of smartphones and advancements in internet technology have notably shifted content consumption habits toward video. This research aims to dissect the nature of videos posted on YouTube, the global video-sharing platform, to understand the characteristics of both produced and preferred content. For this study, dance was chosen as a specific subject from a variety of video categories. Data on YouTube videos associated with the term "dance" was compiled over three years, from 2019 to 2021. The investigation revealed a clear distinction between the types of dance videos frequently uploaded to YouTube and those that receive a high number of views. The empirical analysis of this study indicates a viewer preference for vlogs that provide insights into the daily lives of dance students, as well as for purpose-driven videos, such as those highlighting dance exam preparations or school dance events. Notably, the vlogs that attract the most attention are typically created by dance students at the college or secondary school level, rather than by professionals. Although the study was focused on dance, its methodologies can be applied to different subjects. These insights are expected to contribute to the development of a recommendation system that aids content creators in effectively targeting their productions.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.309-323
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• 2023

As the role of online reviews has become increasingly crucial, numerous studies have been conducted to utilize helpful reviews. Helpful reviews, perceived by customers, have been verified in various research studies to be influenced by factors such as ratings, review length, review content, and so on. The determination of a review's helpfulness is generally based on the number of 'helpful' votes from consumers, with more 'helpful' votes considered to have a more significant impact on consumers' purchasing decisions. However, recently written reviews that have not been exposed to many customers may have relatively few 'helpful' votes and may lack 'helpful' votes altogether due to a lack of participation. Therefore, rather than relying on the number of 'helpful' votes to assess the helpfulness of reviews, we aim to classify them based on review content. In addition, the text of the review emerges as the most influential factor in review helpfulness. This study employs text mining techniques, including topic modeling and sentiment analysis, to analyze the diverse impacts of content and emotions embedded in the review text. In this study, we propose a review helpfulness prediction model based on review content, utilizing movie reviews from IMDb, a global movie information site. We construct a review helpfulness prediction model by using an explainable Graph Neural Network (GNN), while addressing the interpretability limitations of the machine learning model. The explainable graph neural network is expected to provide more reliable information about helpful or non-helpful reviews as it can identify connections between reviews.

• Proceedings of the ESK Conference
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• 1998.04a
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• pp.13.1-18
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• 1998

IVNS(In-Vehicle Navigation System) which developed by the advance of technological system including computer, display and communication will procide the important interface functions between the driver and the ITS (Intelligent Transport System). However, hat the human factors engineer can actually offer to the designer is by no means a complete set of design specifications. Therefore, a set of boundary conditions and operational ranges within which the designer can be assured that physical, perceptual and cognitive abilities and limitations of drivers will be accommodated system atically[6]. Also, this will be the considerations to compose the IVNS HMI (Human-Machine Interface) design guidelines and IVNS HMI evaluation system. As the first phase of developing the IVNS HMI evaluation system, this paper describe the architecture and the content of this system.

• Proceedings of the IEEK Conference
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• 2001.06c
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• pp.101-104
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• 2001

Over the last few years, streaming audio and video content on Internet sites has increased at unprecedented rates. The predominant method of delivering video over the current Internet is video streaming such as SureStream or Intelligent Stream. Since each method provides the client with only one data stream from one server, it often suffers from poor qualify of pictures in the case of network link congestion. In this paper, we propose a novel method of delivering video stream based on wavelet to a client by utilizing multi-threaded parallel connections from the client to multiple servers and to provides a better way to address the scalability functionalities. The experimental results show that the video quality delivered by the proposed multithreaded stream could significantly be improved over the conventional single video stream methods.