• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.6
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• pp.406-413
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• 2014

In recent years, various contents traffics are increasing according to the various internet connectable devices which have become contents provider. Because these contents traffics show different pattern from previous one, many researches for efficient contents delivery system are in progress. CCN(Contents Centric Network), one of the representative research subject, has inter operation problem with a current network because it has clean-state architecture. In this point of view, this paper suggests the SaNA(Service adaptive Network Architecture) for efficient contents delivery when it inter operates with current network architecture. SaNA is a convergence system which can be gradually applied to current network using CCN and SDN(Software Defined Network) which are core future internet technologies. Appling this system on the contents delivery service, it can increase the network bandwidth utilization by two times and decrease the contents delivery time by 1.7 times.

• Journal of Internet Computing and Services
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• v.23 no.4
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• pp.73-85
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• 2022

In the era of the 4th industrial revolution, where automation and connectivity are maximized with artificial intelligence, the importance of data collection and utilization for model update is increasing. In order to create a model using artificial intelligence technology, it is usually necessary to gather data in one place so that it can be updated, but this can infringe users' privacy. In this paper, we introduce federated learning, a distributed machine learning method that can update models in cooperation without directly sharing distributed stored data, and introduce a study to optimize distributed consensus among participants without an existing server. In addition, we propose a pattern and group-based distributed consensus optimization algorithm that uses an algorithm for generating patterns and groups based on the Kirkman Triple System, and performs parallel updates and communication. This algorithm guarantees more privacy than the existing distributed consensus optimization algorithm and reduces the communication time until the model converges.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.3
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• pp.157-163
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• 2013

Data mining is a useful technology that can support new discoveries based on the pattern analysis and a variety of linkages between data, and currently is utilized in various fields such as finance, marketing, medical. In this paper, we propose an effective utilization method of data based on analysis of spatial data mining. We make use of basic data of foreigners living in Seoul. However, the data has some features distinguished from other areas of data, classification as sensitive information and legal problem such as personal information protection. So, we use the basic statistical data that does not contain personal information. The main features and contributions of the proposed method are as follows. First, we can use Big Data as information through a variety of ways and can classify and cluster Big Data through refinement. Second. we can use these kinds of information for decision-making of future and new patterns. In the performance evaluation, we will use visual approach through graph of themes. The results of performance evaluation show that the analysis using data mining technology can support new discoveries of patterns and results.

• Journal of the Korea Fashion and Costume Design Association
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• v.11 no.1
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• pp.87-97
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• 2009

A technology in development called CACD (Computer Aided Clothing Design) can reproduce fashion shows by utilizing computers, and is of particular interest. Considering the growth potential of this area, the purpose of this study is to present the development potentials that CACD technology will bring to the fashion area and to promote the diversity of the fashion industry. This will be realized by identifying the current status of CACD and its reach in the field of Fashion, followed by an in-depth analysis of its application. The methodologies employed in this study are as follows; in-depth study of related literature, field research of business firms, and investigation on Internet data. For the systematic advance of CACD, the development of user-friendly programs for 3D clothing design is of the utmost priority. The four technologies that should be intensively developed to enhance the development of the clothing industry through the utilization and commercialization of CACD are as follows; First, technology capable of performing accurate three-dimension measurement of the human body is needed. Second, technology which realizes automatic pattern formation is needed. Third, the nature physical properties of the material and textile design when applied to pre-formed patterns must be expressed similarly to the real thing. Last of all, an integrative technology which can conduct fast and accurate clothing simulations must be developed.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.15 no.2
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• pp.135-143
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• 2005

This study was conducted to measure the exposure levels to noise for the middle and the high school students who worn headsets in the PC rooms. The noise levels from the headsets were measured with noise dosimeters, and the statistical relationships between the utilization pattern, user's views on the PC rooms and it's environment were analyzed for the selected PC rooms in the Ahnshan area. The results were as follows; 1. No significant difference was found in the number of uses and average time spent per day by education level and by sex of the users(p>0.05). 2. No statistical significant difference was found between the contents selected by education level of the users (p>0.05). The male participants overwhelmingly enjoyed the PC games (98.3 %) while females selected for listening music (75.0 %) with significant difference(P<0.05), followed by browsing internet and PC communications (70.0 %), PC game (66.7 %) and chatting (33.3 %). 3. The actual noise measurements of the headsets worn by the users of different sexes and educational backgrounds produced no differences(p>0.05), while a significant difference was found between genders (p<0.05). 4. For sound pressure level measurements, the weighted average(Lavg) of 84.5 dB(A) on the left headsets exceeded that of 79.8 dB(A) on the right headsets significantly(p<0.01) and the maximum value of 96.9 dB(A) on the left headsets exceeded the maximum value of 93.5 dB(A) on the right headsets(p<0.01). 5. The actual noise measurements of the headsets worn by the users of different sexes and educational backgrounds produced no differences(p>0.05), however, the contents selected by the users with different educational backgrounds were noted with significant difference(p<0.05) while no difference was found by gender(p>0.05).

• KIISE Transactions on Computing Practices
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• v.21 no.2
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• pp.138-143
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• 2015

The Boyer-Moore algorithm is a single pattern string matching algorithm that is widely used in various applications such as computer and internet security, and bioinformatics. This algorithm is computationally demanding and requires high-performance parallel processing. In this paper, we propose a parallelization and performance optimization methodology for the BM algorithm on a GPU. Our methodology adopts an algorithmic cascading technique. This results in significant reductions in the mapping overheads for the threads participating in the parallel string matching. It also results in the efficient utilization of the multithreading capability of the GPU which improves the load balancing among threads. Our experimental results show that this approach achieves a 45-times speedup at maximum, in comparison with a serial execution.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.5
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• pp.1666-1689
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• 2021

The red line of Permanent Basic Farmland is the most important part in the "three-line" demarcation of China's national territorial development plan. The scientific and reasonable delineation of the red line is a major strategic measure being taken by China to improve its ability to safeguard the practical interests of farmers and guarantee national food security. The delineation of Permanent Basic Farmland zoning (DPBFZ) is essentially a multi-objective optimization problem. However, the traditional method of demarcation does not take into account the synergistic development goals of conservation of cultivated land utilization, ecological conservation, or urban expansion. Therefore, this research introduces the idea of artificial immune optimization and proposes a multi-objective model of DPBFZ red line delineation based on a clone selection algorithm. This research proposes an objective functional system consisting of these three sub-objectives: optimal quality of cropland, spatially concentrated distribution, and stability of cropland. It also takes into consideration constraints such as the red line of ecological protection, topography, and space for major development projects. The mathematical formal expressions for the objectives and constraints are given in the paper, and a multi-objective optimal decision model with multiple constraints for the DPBFZ problem is constructed based on the clone selection algorithm. An antibody coding scheme was designed according to the spatial pattern of DPBFZ zoning. In addition, the antibody-antigen affinity function, the clone mechanism, and mutation strategy were constructed and improved to solve the DPBFZ problem with a spatial optimization feature. Finally, Tongxu County in Henan province was selected as the study area, and a controlled experiment was set up according to different target preferences. The results show that the model proposed in this paper is operational in the work of delineating DPBFZ. It not only avoids the adverse effects of subjective factors in the delineation process but also provides multiple scenarios DPBFZ layouts for decision makers by adjusting the weighting of the objective function.

• Journal of Bio-Environment Control
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• v.31 no.4
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• pp.366-375
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• 2022

The monitoring of electricity consumption using Internet of Things (IoT) technology is attracting attention as a technology to reduce operation costs of smart farms. In this study, we propose a method to apply a real-time electrical consumption monitoring system (the e-Gauge system) and utilization of the collected data real-time while a melon-producing smart farm is in operation. For this purpose, the electrical consumption data for the individual smart-farm facilities such as boilers, nutrient distribution systems, automatic controllers, circulation fans, boiler controllers, and other IoT-related utilities were collected during three months of melon cultivation period. By using the monitoring results, the electrical energy consumption pattern was analyzed as an example, and necessary considerations needed to optimally utilize the measurement data were suggested. This paper will be useful in lowering the technological implementation barriers for new researchers to build a electrical consumption monitoring system and reducing trial and errors in the usage of the generated data.

• Journal of Internet of Things and Convergence
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• v.9 no.2
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• pp.19-31
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• 2023

The importance of barrier free is being highlighted worldwide. This study attempted to identify barrier-free research trends using text mining. Through this, it was intended to help with research and policies to create a barrier free environment. The analysis data is 227 papers published in domestic academic journals from 1996 when barrier free research began to 2022. The researcher converted the title, keywords, and abstract of an academic thesis into text, and then analyzed the pattern of the thesis and the meaning of the data. The summary of the research results is as follows. First, barrier-free research began to increase after 2009, with an annual average of 17.1 papers being published. This is related to the implementation guidelines for the barrier-free certification system that took effect on July 15, 2008. Second, results of barrier-free text mining i) As a result of word frequency analysis of top keywords, important keywords such as barrier free, disabled, design, universal design, access, elderly, certification, improvement, evaluation, and space, facility, and environment were searched. ii) As a result of TD-IDF analysis, the main keywords were universal design, design, certification, house, access, elderly, installation, disabled, park, evaluation, architecture, and space. iii) As a result of N-Ggam analysis, barrier free+certification, barrier free+design, barrier free+barrier free, elderly+disabled, disabled+elderly, disabled+convenience facilities, the disabled+the elderly, society+the elderly, convenience facilities+installation, certification+evaluation index, physical+environment, life+quality, etc. appeared in a related language. Third, as a result of the CONCOR analysis, cluster 1 was barrier-free issues and challenges, cluster 2 was universal design and space utilization, cluster 3 was Improving Accessibility for the Disabled, and cluster 4 was barrier free certification and evaluation. Based on the analysis results, this study presented policy implications for vitalizing barrier-free research and establishing a desirable barrier free environment.