• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.56 no.1
• /
• pp.197-205
• /
• 2007

We have proposed a novel line detection method based on the estimated probability density function of gradient directions of edges. By estimating peaks of the density function, we determine groups of edges that have the same gradient direction. For edges in the same groups, we detect lines that correspond to peaks of the connectivity weighted distribution of the distances from the origin. In the experiments using the Data Matrix barcode images and LCD images, the proposed method showed better performance than conventional Methods in terms of the processing speed and accuracy.

• Asia Pacific Journal of Business Review
• /
• v.4 no.1
• /
• pp.61-77
• /
• 2019

This article explored the status of E-Government initiative in developing countries by taking the case of Ethiopia. The study had analyzed the practice, challenges and the future prospect of the E-Government initiative in the country. The paper had used both secondary and primary sources of data. In identifying the practice and future prospects of the E-Government imitative, related works in the area were reviewed and appraised. In ascertaining the major challenges, structured and semi-structured interviews were carried out with selected stakeholders from the government office and the private sector. The result of the study had shown that the country had registered a promising progress in E-Government index in the past four years ranking at 157th in the year 2014, which was standing at 172nd in the year 2012. Above all, high- level political commitment and the design of specific actions plans that are linked to the national sustainable development priorities were the key success factors. Nevertheless, there are still enormous challenges that have to be tackled for citizens to drive the benefits arising from the implementation of E-Government initiative. The study had identified limited cross-sectoral connectivity, lack of intra-organizational connectivity, low human resource capacity, language barrier, lack of awareness and absence of appropriate legal and regulatory framework as major challenges. Finally, the study forwarded constructive suggestion that can be adopted in the way forward of the E-Government initiative.

• Proceedings of the Technology Innovation Conference
• /
• 2003.02a
• /
• pp.201-220
• /
• 2003

The purpose of this study was to explore the effect of creativity management factors on R&D performance. To do this, the data(885 cases) was collected from 19 Korean Government-supported Research Institutes, and 3 hypothesis derived from model of creativity management(after here CM) were tested. Major findings are as follows: 1) CM factors are grouped into diversity, autonomy, connectivity, redundancy and flexibility factors; 2) The factors that can explain R&D performance are connectivity, autonomy, diversity and flexibility factors; 3) All CM factors have significant relationship with satisfaction of the employees; 4) Flexibility and connectivity factors give effects on turnover intention of the members. This study has some limitations in model building and empirical testing. But this study provided the theoretical and managerial implications about CM and R&D management, especially Government-supported Research Institute.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.56 no.10
• /
• pp.1865-1867
• /
• 2007

We propse a novel corner detection algorithm for locating 2D Data Matrix barcode in an image. The proposed method accumulates weight for each cross point defined by every combination of edge points in the image, and detects the corner point of the barcode L-pattern by determining the location of the highest accumulated weight. By designing the weight considering the connectivity of two lines around the cross point, we were able to detect the corner of L-pattern even for the cases that the lines of L-patterns are short. In the experiments, the proposed method showed improved performance compared with the conventional Hough transform based method in terms of detectability and computation time.

• Journal of Korean Institute of Industrial Engineers
• /
• v.36 no.2
• /
• pp.94-100
• /
• 2010

The reliable multicast MAC (Medium Access Control) protocol is needed to guarantee the recipients' nonerroneous reception of the multicast data frames, which can be transmitted by the AP (Access Point) in infrastructure mode IEEE 802.11 wireless LANs. Enhancing the BMMM (Batch Mode Multicast MAC) protocol, in the literature, the connectivity-based reliable multicast MAC protocol was proposed to reduce the RAK (Request for ACKnowledgement) frame transmissions and enhance the multicast MAC performance. However, the number of necessary RAK frame transmissions increases as the number of multicast recipients increases. To alleviate the problem of the larger number of RAK frame transmissions with the larger number of multicast recipients, we propose the clustering algorithm for partitioning the recipients into a small number of clusters, so that the recipients are connected each other within the same clusters. Numerical examples are presented to show the reliable multicast MAC performance improvement by the clustering algorithm.

• Korean Journal of Geomatics
• /
• v.4 no.2
• /
• pp.53-57
• /
• 2004

Due to the traffic congestion and public-oriented transportation policies of Seoul, public transportation is receiving attention and being used increasingly. However, current transport routes configuration is showing unbalanced accessibility throughout the city area creating differences in time, expenses and metal burden of users who travel the same distances. One of the reasons is that transport route planning has been partially empirical and non-quantitative tasks due to lack of relevant methods for assessing the complexity of the transport routes. This paper presents a method to compute the connectivity of public transport system based on the topological structure of the network of transport routes. The main methodological issue starts from the fact that the more transfers take place, the deeper the connectivity becomes making that area evaluated as less advantageous as for public transport accessibility. By computing the connectivity of each bus or subway station with all others in a city, we can quantify the differences in the serviceability of city areas based on the public transportation. This paper is based on the topological interpretation of the routes network and suggests an algorithm that can automate the computation process. The process is illustrated using a simple artificial network data built in a GIS.

• Knowledge Management Research
• /
• v.4 no.1
• /
• pp.1-19
• /
• 2003

The purpose of this study is to explore the effect of creativity management factors on perceived R&D performance. To do this, the data (885cases) were collected from 19 Korean Government-supported Research Institutes, and 3 hypotheses derived from the model of creativity management(after here CM) were tested. Major findings are as follows: 1) CM constructs are grouped into diversity, autonomy, connectivity, redundancy and flexibility factors; 2) The major factors that can explain R&D performance perceived by scientists and engineers are connectivity, autonomy, diversity and flexibility; 3) All CM factors have significant relationship with satisfaction of the employees; 4) Flexibility and connectivity factors give effects on turnover intention of the members. This study has some limitations in model building and empirical testing. This study, however, provides theoretical and managerial implications about CM and R&D management, particularly Government-supported Research Institutes in Korea.

• International Journal of Advanced Culture Technology
• /
• v.11 no.1
• /
• pp.356-362
• /
• 2023

Identifying the distribution of species and specific factors related to it is very important because it is habitat conservation that is greatly linked not only to ecological research but also to human health. After all, protecting each one's habitat will protect wildlife and further maintain a healthy ecosystem. Therefore, in this study, data were collected, compared, and analyzed through existing studies and field-oriented surveys. The results of the survey confirmed high species diversity in agricultural areas and forest areas that can reduce moisture supply and moisture loss, and the non-segmental environment, that is, ecological connectivity, was largely influenced by amphibian species diversity. It was confirmed that the non-fragmented environment, that is, ecological connectivity, was greatly affected by amphibian species diversity. In addition, the three factors that affect amphibian survival are: It was identified as the effect of not establishing a buffer space, the effect on the ecological transformation around the habitat during the summer rainy season, and the effect on the disconnected ecological environment.

• Communications for Statistical Applications and Methods
• /
• v.30 no.6
• /
• pp.561-575
• /
• 2023

Brain network analysis has attracted the interest of neuroscience researchers in studying brain diseases. Magnetoencephalography (MEG) is especially proper for analyzing functional connectivity due to high temporal and spatial resolution. The application of graph theory for functional connectivity analysis has been studied widely, but research on network modeling for MEG still needs more. Temporal exponential random graph model (TERGM) considers temporal dependencies of networks. We performed the brain network analysis, including static/temporal network statistics, on two groups of epilepsy patients who removed the left (LT) or right (RT) part of the brain and healthy controls. We investigate network differences using Multiset canonical correlation analysis (MCCA) and TERGM between epilepsy patients and healthy controls (HC). The brain network of healthy controls had fewer temporal changes than patient groups. As a result of TERGM, on the simulation networks, LT and RT had less stable state than HC in the network connectivity structure. HC had a stable state of the brain network.

• The Korean Journal of Applied Statistics
• /
• v.33 no.5
• /
• pp.591-601
• /
• 2020

The self-organizing map (SOM) is a unsupervised learning method projecting high-dimensional data into low-dimensional nodes. It can visualize data in 2 or 3 dimensional space using the nodes and it is available to explore characteristics of data through the nodes. To understand the structure of data, cluster analysis is often used for nodes obtained from SOM. In cluster analysis, the optimal number of clusters is one of important issues. To help to determine it, various cluster validity indexes have been developed and they can be applied to clustering outcomes for nodes from SOM. However, while SOM has an advantage in that it reflects the topological properties of original data in the low-dimensional space, these indexes do not consider it. Thus, we propose a new cluster validity index for SOM based on connectivity between nodes which considers topological properties of data. The performance of the proposed index is evaluated through simulations and it is compared with various existing cluster validity indexes.