• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.3
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• pp.703-710
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• 2017

Third-generation (3G) devicesare next-generation devices that allow the use of intelligent services and applications through the Internet of Things (IoT). As the market forexisting smart devices like smartphones and tablet PCs enters the stage of stagnation, the world is now focusing on 3G devices, parts, and services. This study is intended to measure the user's benefits from the various attributes of 3G devices by applying an economic valuation method. For this purpose, the conjoint analysis method was applied, which is one of the representative valuation methods. To apply conjoint analysis, the following attributes of 3G devicesare considered: mode of use, power efficiency, life care, and price. By applying the mixed logit model, the marginal willingness-to-pay(WTP) for each attribute was derived. The results are statistically significant. Respondents showed a high preference or complete flexibility in the mode of use attribute. And they were also found to have WTP for improvements in the life care attribute. The implications and quantitative results of this study are expected to be useful for policies and strategies in the 3G device market.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.12
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• pp.549-564
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• 2017

Not only services that are provided by a single system have been various with the development of the Internet of Things and autonomous software but also new services that are not possible before are provided through collaboration between systems. The collaboration between autonomous systems is similar to the ecosystem configuration in terms of biological viewpoints. Thus, it is called the IT Ecosystem, and this concept has arisen newly in recent years. The IT Ecosystem refers to a concept that achieves a mission of each of a number of heterogeneous systems rather than a single system utilizing their own autonomy as well as achieving the objectives of the overall system simultaneously in order to meet a single common goal. In our previous study, we proposed architecture of elementary level and as well as basic several meta-models to implement the IT Ecosystem. This paper proposes comprehensive reference architecture framework to implement the IT Ecosystem by cleansing the previous study. Among them, a utility function based on cost-benefit model is proposed to solve the dynamic re-configuration problem of system components. Furthermore, a measure of using genetic algorithm is proposed as a solution to reduce the dynamic re-configuration overhead that is increased exponentially according to the expansion of the number of entities of components in the IT Ecosystem. Finally, the utilization of the proposed orchestration framework is verified quantitatively through probable case studies on IT Ecosystem for unmanned forestry management.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.1
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• pp.96-105
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• 2018

The V-world, Spatial information open platform map service, provides various national spatial data. Recently, with the development of IT technology, demand for 3D geospatial data that can be merged with new industries such as Internet of Things(IoT) and autonomous vehicles is increasing. Because 3D geospatial data is large and complex, many computer resources are used to provide map services. Most of the 3D map services, such as Vworld, are constructed binary data in consideration of performance. However, this type of data is incompatible because it is difficult to use in other services if there is no precise understanding of the specification. In this paper, we propose a data serialization method to improve the compatibility of new Vworld 3D format which is constructed in binary form. The performance of binary data and serialized binary data is tested and compared. As a result, it is expected that the data using the serialization technique will be similar to the binary data and contribute to improve compatibility.

• Science of Emotion and Sensibility
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• v.21 no.1
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• pp.99-114
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• 2018

Saekdong is a unique Korean fabric that has been used since ancient times, and it is woven with the plain or satin weave so that vertical stripes appear by various colored warp threads of equal spacing. Saekdong means pleasure, joy, serenity, heavenly blessing, spirituality, wind, and abundance, expressing the optimistic and positive sentiment of Korea's forefathers. This study investigated how ancient Saekdong occurred with meanings. As a research method, this study used literature review and surfing newspapers and photographs, museum and internet search, even from other fields such as earthenware, bronze, and traditional dance. We collected Saekdong and the lifestyles of ethnic Koreans living in China, investigated the Asuka culture of Japan, and the tomb murals of Takamatsu-Chong, which are Baekje and Goguryeo settlement areas. The results are as follows: First, it expresses happy occasion, pleasure, and joy, and expresses a desire for good things to be repeated and lasting. Second, it symbolizes simple beauty, order, equality and harmony of many tribes. Third, Saekdong is life and power which represent a sacred, heavenly, mysterious bird. Fourth, it symbolizes abundance and wealth, rain, wind or fields. Finally, this study showed the brilliance and pride of Korean hanbok through Saekdong. The significance of this study is to examine the symbolism and inherent aesthetic characteristics of Saekdong and to show the unique value and spiritual heritage of the Korean people.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.418-430
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• 2017

This study examined the process, difficulties and understanding of making teaching materials by investigating the pre-service early childhood teachers' experience of making such materials. The results of the study would help in the design direction and methods of education for pre-service teachers in how to make materials. A total of 30 university students, who took the course of 'Early Childhood Educational Materials and Research Method' in B university, participated in the study. At the exploration stage, the pre-service teachers utilized the teacher guidance of Nuri curriculum, major books, internet materials, and their observation experiences in kindergartens. At the planning stage, they considered chiefly the children's interest and level, explored materials sufficiently, and selected the production method carefully. At the production stage, they performed basic hard work to prevent rework and tended to stick to the basics beyond their initial ambition as the work progressed. The difficulties that they faced, feeling pressured, were making materials based on their imagination without experiencing much from the infants, feeling embarrassed when things did not progress as planned, and feeling a sense of loss when comparing with other friends. Through these difficulties, the importance of precise planning, executing the process thoroughly, and repeatedly checking and reviewing the entire process of making textbooks and materials were realized. In addition, there is a need to search for a better development direction for the effective development of teaching textbooks and materials.

• (The)Study of the Eastern Classic
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• no.43
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• pp.125-154
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• 2011

Today's digital culture has been realized through various media, and even now, is changing and growing. If the previous digital culture was actualized through technologies such as the Internet, mobile devices etc., today it includes even things that give new life to contents using various medialike this. The moment this digital technical aspect is grafted into culture, a new genre called 'Cultural Contents' is born. Such cultural contents can be seen as a way for classics to approach people in a digital world that is evolving fast like today. To make classics into a cultural content, its basic narrative structure is important. Classics contain the history at the time, the awareness of people who lived at the time and the detailed rite of passage people experienced. This point can be interpreted as classics not just a cultural heritage of the previous era, but having the functionality that can form a consensus of modern people. This thesis views our classic novels of Mongcha group such as 'Guwunmong' and 'Okrubong' as a potential subject of cultural contents, and the problem of how it can be made into a cultural content. To make a cultural content, storytelling is very important. Therefore, the structure and characteristics of novels of Mongcha group was examined, and a synopsis was made based on this. Furthermore, it examined if there are novels of Mongcha group made into contents, and how each work was vitalized and how much ripple effect it had achieved. If each work did not achieve a second or third ripple effect, it examined what the problem was and tried to offer a solution.

• Journal of Broadcast Engineering
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• v.26 no.2
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• pp.125-131
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• 2021

In recent years, Convolutional Neural Networks (CNNs) have achieved outstanding performance in the fields of computer vision such as image classification, object detection, visual quality enhancement, etc. However, as huge amount of computation and memory are required in CNN models, there is a limitation in the application of CNN to low-power environments such as mobile or IoT devices. Therefore, the need for neural network compression to reduce the model size while keeping the task performance as much as possible has been emerging. In this paper, we propose a method to compress CNN models by combining matrix decomposition methods of LR (Low-Rank) approximation and CP (Canonical Polyadic) decomposition. Unlike conventional methods that apply one matrix decomposition method to CNN models, we selectively apply two decomposition methods depending on the layer types of CNN to enhance the compression performance. To evaluate the performance of the proposed method, we use the models for image classification such as VGG-16, RestNet50 and MobileNetV2 models. The experimental results show that the proposed method gives improved classification performance at the same range of 1.5 to 12.1 times compression ratio than the existing method that applies only the LR approximation.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.1
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• pp.74-82
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• 2019

The revolution of industry 4.0 is enabling us to build an intelligent connection society called smart cities. The use of renewable energy in particular solar energy is extremely important for modern society due to the growing power demand in smart cities, but its difficult to monitor and manage in each buildings since need to be deploy low energy sensors and information need to be transfer via wireless sensor network (WSN). The Internet of Things (IoT) / low-power wide-area (LPWA) is an emerging WSN technology, to collect and monitor data about environmental and physical electrical / electronics devices conditions in real time. However, providing power to IoT sensor end devices and other public electrical loads such as street lights, etc is an important challenging role because the sensor are usually battery powered and have a limited life time. In this paper, we proposes an efficient solar energy-based power management scheme for smart city based on IoT technology using LoRa wide-area network (LoRaWAN). This approach facilitates to maintain and prevent errors of solar panel based energy systems. The proposed solution maximizing output the power generated from solar panels system to distribute the power to the load and the grid. In this paper, we proved the efficiency of the proposed system with Simulink based system modeling and real-time emulation.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.5
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• pp.1037-1046
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• 2024

The widespread adoption of the Internet of Things (IoT) has enhanced efficiency and convenience across various fields, but it has also led to a surge in security threats. Among these, IoT botnets are particularly concerning as they can rapidly infect a large number of devices and launch various types of attacks, making them a significant security threat. In IoT environments where implementing security measures on individual devices is challenging, establishing a security monitoring system for real-time detection and response is essential to mitigate the risks posed by botnets. In the field of security monitoring, it is crucial not only to detect botnets but also to analyze their detailed behaviors to devise effective countermeasures. Security experts devote considerable effort to analyzing the payloads of detected threats to understand botnet behavior and develop appropriate responses. However, analyzing all threats manually is time-consuming and costly. To address this, our study proposes an XAI-based network feature extraction methodology to enhance the effectiveness of IoT botnet behavior analysis. This study proposes a practical security monitoring methodology for IoT botnet behavior analysis and response, consisting of three steps: 1) BPE and TF-IDF based payload feature extraction, 2) XAI-based feature importance analysis, and 3) visualization of decision rationale based on feature importance. This approach provides security experts with intuitive visual evidence of IoT attacks and reduces analysis time, contributing to faster decision-making and response strategy development in security monitoring.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.10
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• pp.920-929
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• 2014

Recently, embedded system which demand is explosively increasing in the fields of communication, traffic, medical and industry facilities, expands to cyber physical system (CPS) which monitors and controls the networked embedded systems. In addition, internet of things(IoT) technology using wearable devices such as Google Glass, Samsung Galaxy Gear and Sony Smart Watch are gaining attention. In this situation, Samsung Smart Home and LG Home Chat are released one after another. However, since these services can be available only between smart phones and home appliances, there is a disadvantage that information cannot be passed to other terminals without commercial global messaging server. In this paper, to solve above issues, we propose the structure of an indoor location network based on unit space, which prevents the information of the devices or each individual person from leaking to outside and can selectively communicate to all existent terminals in the network using IoT chatting. Also, it is possible to control general devices and prevent external leakage of private information.