• The Journal of the Korea institute of electronic communication sciences
• /
• v.13 no.1
• /
• pp.113-118
• /
• 2018

In this research, we conducted a questionnaire using the existing developed digital literacy checklist for analyzing the digital literacy level of Reserve Officers' Training Corps in K-University. In order to verify the validity and reliability of the measurement results collected on the basis of the response results, factor analysis of the question was carried out using the statistical analysis program SPSS 21.0, for each research group, the ability level by each factor was analyzed. Based on the results of analysis using frequency analysis, T-test and One-way ANOVA, we suggested measures to improve digital literacy level of school district officer candidates.

• The Journal of Society for e-Business Studies
• /
• v.14 no.3
• /
• pp.15-37
• /
• 2009

This study presents a new retrieval system developed to consider various preferential requirements for buyers in the real estate market. The paper analyses essential factors affecting the price of real estate and then a set of factors are classified by region-related factor and individual-related factor. After endowing the buyer's selected factors with weights in the retrieval system, the optimal solutions have been drawn by comparing with the others through an entropy measure of Multi-attribute Decision Making. This retrieval system is applied to the Busan real estate market to estimate the solutions of retrieval. Evaluation results indicate that the retrieval system can provide useful information to analyse the price determination factors of real estate, as well as to save the searching cost of the buyers.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.11 no.1
• /
• pp.95-101
• /
• 2007

Recently, two phase scheme for removing impulse noise in images is proposed. This algorithms first detect the noise candidates based on the adaptive median filter, and then apply optimizing techniques recursively only to those noise candidates to restore image. Thus the noise detector with high accuracy is important role on this algorithm, In this paper, novel noise detector is proposed, which can detect impose noise with high accuracy while reducing the probability of false detecting image details as impulses. And the method for reducing computational cost of regularization phase is presented also.

• Journal of the Korea Society of Computer and Information
• /
• v.11 no.4 s.42
• /
• pp.55-60
• /
• 2006

The proposed method uses FFT(Fast Fourier Transform) and neural networks in order to extract texts in real time. In general, text areas are found in the higher frequency domain, thus, can be characterized using FFT. The neural network are learned by character region(high frequency) and non character region(low frequency). The candidate text areas can be thus found by applying the higher frequency characteristics to neural network. Therefore, the final text area is extracted by verifying the candidate areas. Experimental results show a perfect candidate extraction rate and about 95% text extraction rate. The strength of the proposed algorithm is its simplicity, real-time processing by not processing the entire image.

• Journal of the Korea Society of Computer and Information
• /
• v.28 no.2
• /
• pp.1-7
• /
• 2023

In this paper, we propose a base address candidate selection method using the $gp register and page granularity as a way to build a static analysis environment for firmware based on MIPS architecture. As a way to shorten the base address search time, which is a disadvantage of the base address candidate selection method through inductive reasoning in existing studies, this study proposes a method to perform page-level search based on the $gp register in the existing base address candidate selection method as a reference point for search. Then, based on the proposed method, a base address search tool is implemented and a static analysis environment is constructed to prove the validity of the target tool. The results show that the proposed method is faster than the existing candidate selection method through inductive reasoning.

• Journal of Korea Society of Industrial Information Systems
• /
• v.14 no.4
• /
• pp.57-64
• /
• 2009

In this paper, We propose an highly efficient preprocessing technique for improving the performance of the crease extraction method, which can improve the accuracy of feature extraction within the fingerprint image. The proposed method applies the 1-dimensional directional slit for each pixel in fingerprint image. Once the direction of every pixel in crease candidate area is estimated, it is decomposed into different images depending on their direction. From the directional images, the crease clusters are estimated by utilizing the property of crease area. The proposed method finally extracts the crease from the crease clusters estimated from directional images.

• The Journal of the Korea Contents Association
• /
• v.20 no.9
• /
• pp.208-223
• /
• 2020

In the 21st general election held in April 15, 2020, the importance of social media as an election campaigning tool became more prominent when engaged with Corona 19. Therefore, in this study, various studies were conducted to establish SNS strategy as an election campaign tool. This study analyzed the contents of SNS (Facebook, Twitter, YouTube) activities as an election campaign tool to analyze messages on social media messages of candidates Lee Nak-yeon and candidate Hwang Kyo-an of Jongno-gu, Seoul during the 2020 21st National Assembly election. Data collection mainly analyzed posts from each candidate's official account, and the research method used text analysis using the R program. Word cloud, comparative analysis, q-graph analysis, LDA, and STM analysis were used during text analysis. In addition, the analysis result was confirmed to be statistically significant through correlation analysis. As a result of research, candidate Lee Nak-yeon's election includes corona, people, problems, crisis, suffering, and wisdom, which indicates that the crisis caused by corona must be overcome through any means possible. On the other hand, candidate Hwang Kyo-an's election includes Moon Jae-in, the regime, save, the fatherland, the judge, and the economy. And from the perspective of political publicity, candidate Lee Nak-yeon made a lot of acclaims, while candidate Hwang Kyo-an made a lot of attacks, and both themes emphasized the policy rather than the image.

• The Journal of the Korea Contents Association
• /
• v.18 no.6
• /
• pp.385-398
• /
• 2018

This study aims to explore implications by analyzing voters' behaviors and attitudes of political campaigns & political advertising audience in the 19th presidential election. For this purpose, in-depth interviews with 59 voters who voted in the last election were conducted, and interviewees were allocated by their gender and age. As a result, the motivation to ballot for a candidate was based on the candidates' political affiliations to a party, political inclinations, and election pledges. Voters also determined whom they would vote for after watching the final TV debate. The biggest issue of this election was to create jobs in the public sector, an economical issue. TV was the most trusted medium among the voters, and TV debates had the greatest influence in changing the minds of the voters. Voters thought that Shim, Sang Jung was the best on TV debates and that An, Chul Soo was the worst. Also, voters recalled An, Chul Soo the most among all election posters, but they recalled Moon, Jae In the most out of other political advertisement methods. Therefore, the results elucidated the voters' behaviors and the audience's attitudes in political advertising, and this study provided theoretical and practical implications to be utilized in future presidential election campaigns and political advertising endeavors.

• Current Research on Agriculture and Life Sciences
• /
• v.33 no.1
• /
• pp.19-24
• /
• 2015

Due to various environmental changes, the current location of the Gyeongsangbuk-do Agricultural Research & Extension Services needs to be changed to provide an appropriate environment and ecosystem for agricultural research and the efficient provision of public services. Accordingly, this study proposes a standard for selecting the new location. First, the location theory for the transfer of public facilities is investigated, and candidate filtration methods considered for the location selection. The candidate filtration methods include a component inspection, branch shape analysis, and mixed analysis. This study uses a component inspection, where the component criteria include the economic feasibility and ease of development, accessibility and convenience, agricultural conditions, soil conditions, connectivity, fairness, and human resource-richness of the region.

• 한국해양학회지
• /
• v.13 no.1
• /
• pp.29-34
• /
• 1978

Simultaneous tidal current observation at five or seven stations on the channel near Incheon Habour was conducted at neap, mean and spring tides during the period of August 16 to August 27, 1976 and the characteristic of tidal currents with each tide was studied by the analysis of these data. Times of slack refer to the times of high and low waters at neap, mean and spring tides seem to be small. Times of maximum current refer to the times of high and low waters at the mean tide tends to appear earlier than that of the neap tide and later than that of the spring tide. The velocity ratio of maximum ebb current to maximum flood current at the mean tide has larger value than that of neap tide and has smaller value than that of spring tide. The current velocity ratio of spring tide to neap tide and to mean tide are approximately 1.8 and 1.3, respectively.