• Journal of Information Processing Systems
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• v.16 no.3
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• pp.733-741
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• 2020

A smart dust monitoring system is useful for obtaining information on rough terrain that is difficult for humans to access. One of ways to deploy sensors to gather information in smart dust environment is to use an aircraft in the Amazon rainforest to scatter an enormous amount of small and cheap sensors (or smart dust devices), or to use an unmanned spacecraft to throw the sensors on the moon's surface. However, scattering an enormous amount of smart dust devices creates the difficulty of managing such devices as they can be scattered into inaccessible areas, and also causes problems such as bottlenecks, device failure, and high/low density of devices. Of the various problems that may occur in the smart dust environment, this paper is focused on solving the bottleneck problem. To address this, we propose and construct a three-layered hierarchical smart dust monitoring system that includes relay dust devices (RDDs). An RDD is a smart dust device with relatively higher computing/communicating power than a normal smart dust device. RDDs play a crucial role in reducing traffic load for the system. To validate the proposed system, we use climate data obtained from authorized portals to compare the system with other systems (i.e., non-hierarchical system and simple hierarchical system). Through this comparison, we determined that the transmission processing time is reduced by 49%-50% compared to other systems, and the maximum number of connectable devices can be increased by 16-32 times without compromising the system's operations.

• Journal of Information Processing Systems
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• v.1 no.1 s.1
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• pp.22-26
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• 2005

In this paper, we classified the objectionable texts into four rates according to their harmfulness and proposed the hierarchical text rating system for objectionable documents. Since the documents in the same category have similarities in used words, expressions and structure of the document, the text rating system, which uses a single classification model, has low accuracy. To solve this problem, we separate objectionable documents into several subsets by using their properties, and then classify the subsets hierarchically. The proposed system consists of three layers. In each layer, we select features using the chi-square statistics, and then the weight of the features, which is calculated by using the TF-IDF weighting scheme, is used as an input of the non-linear SVM classifier. By means of a hierarchical scheme using the different features and the different number of features in each layer, we can characterize the objectionability of documents more effectively and expect to improve the performance of the rating system. We compared the performance of the proposed system and performance of several text rating systems and experimental results show that the proposed system can archive an excellent classification performance.

• Convergence Security Journal
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• v.18 no.3
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• pp.53-59
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• 2018

In this paper, we propose a hierarchical image classification scheme for efficient object image classification. In the non-hierarchical image classification, which classifies the existing whole images at one time, it showed that objects with relatively similar shapes are not recognized efficiently. Therefore, in this paper, we introduce the image classification method in the hierarchical structure which attempts to classify object images hierarchically. Also, we introduce to the efficient class structure and algorithms considering the scalability that can occur when a deep learning image classification is applied to an actual system. Such a scheme makes it possible to classify images with a higher degree of confidence in object images having relatively similar shapes.

• Korean Journal of Child Studies
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• v.37 no.2
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• pp.157-168
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• 2016

Objective: This study examined the facotrs influencing the relationship of adolescents with non-custodial parent. Specifically, this study focused on the comparative influence of the family function as a factor controlling other factors such as socio-demographic characteristics, beliefs about parental divorce, and social support. Methods: Data were collected from 322 adolescents from divorced families using a structured questionnaire. SPSS 22.0, descriptive statistical analysis, correlation analysis, and hierarchical multiple regression were performed to analyze the data. Results and Conclusion: The results revealed that beliefs about parental divorce, social support, and family function affected the relationship with non-custodial parent. After controlling the influence of other factors, family function was found to have a significant influence on the relationship with non-custodial parents. Based on the results, practical suggestions were provided to enhance the relationship between adolescents and non-custodial parents.

• Journal of Biomedical Engineering Research
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• v.29 no.6
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• pp.466-476
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• 2008

The more people use ambulatory electrocardiogram(ECG) for arrhythmia detection, the more researchers report the automatic classification algorithms. Most of the previous studies don't consider the un-balanced data distribution. Even in patients, there are much more normal beats than abnormal beats among the data from 24 hours. To solve this problem, the hierarchical classification using 21 features was adopted for arrhythmia abnormal beat detection. The features include R-R intervals and data to describe the morphology of the wave. To validate the algorithm, 44 non-pacemaker recordings from physionet were used. The hierarchical classification model with 2 stages on domain knowledge was constructed. Using our suggested method, we could improve the performance in abnormal beat classification from the conventional multi-class classification method. In conclusion, the domain knowledge based hierarchical classification is useful to the ECG beat classification with unbalanced data distribution.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.115-126
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• 2016

The purpose of this study is to identify Hierarchical Culture of construction enterprises, Empowerment, and Organizational Effectiveness through empirical research. To perform this study, we carried out a survey targeting executives of construction companies in Seoul, metropolitan area, and non-metropolitan area. For analyzing, SPSS Statistical Techniques, Reliability analysis, Factor analysis, Multiple Regression analysis were used. The results of the study are as follows. First, the Hierarchy of the Culture affects significantly positive (+) on Organizational Effectiveness. Second, Hierarchical Culture affects the significantly positive (+) to the Empowerment. Third, Hierarchies and Cultural Empowerment was found to significantly affect the positive (+) on Organizational Effectiveness. Based on the conclusions, Hierarchical Culture of the domestic construction industry has a significant impact on Self-determination and the goal of consciousness among employees. In addition, this is helpful in Job Performance and Organizational Commitment.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.6
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• pp.643-648
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• 2003

In order to provide efficient retrieving results for user query on the web environment, the various searching algorithms have developed and considered user's preference and convenience. However, the searching algorithms are developed on the horizontal and non hierarchical web environment in general and could not apply to the complex hierarchical and functional web environments such like the enterprise network. In this paper, we purpose the multi-agent based web mining system which can provide the efficient mining results to the user on the special web environment. For doing this, we suggest the network model with the hierarchical web environment and model the multi agent based web mining system which has four corporation agents and fourteen process modules. Then, we explain the detailed functions of each agent considered the hierarchical environment according to the module. Especially, we purpose the new merging agent and improved ranking algorithm by using the graph theory.

• The Transactions of the Korea Information Processing Society
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• v.7 no.1
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• pp.215-223
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• 2000

The advancements in technology which have lead to higher and higher levels of integration have required advancements in the methods used in designing VLSI chip. A key to enable a complicated chip design is the use of hierarchy in the design process. Hierarchy organizes the function of a large number of transistors ito a particular, easy-to-manage function. For these reasons, hierarchy has been used in the design process of digital functions for many years. However, there exists differences in a design analysis phase, especially in timing analysis, due to multiple views for the same design. In timing analysis of the hierarchical design, every path is analyzed within partitioned modules independently and the global timing analysis is applied to the whole design considering each module as a single timing component. Therefore, timing results of the hierarchical design could not be same as those of non-hierarchical flat design. In this paper, we formulate the timing problem in the hierarchical design and analyze the possible source of timing differences. We define a new terminology of "consistent result" between different views for the same design. We also propose a new partitioning algorithm to obtain the consistent results. This algorithm helps to enhance the design cycle time.

• Journal of Families and Better Life
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• v.33 no.4
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• pp.19-32
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• 2015

The purpose of this study is to examine the influence of the organizational characteristic and workers characteristics of Family Business Organization on its Business Performance. The subjects of this study were workers of healthy family support centers and multicultural family support centers. A survey was conducted from July 30th to September 30th. A total 372 materials were used for analysis of final data and SPSS(Statistical Package for the Social Sciences) WIN 18.0 program was employed in analyzing the collected data. As the result of analysing the effect of organizational characteristics and culture and characteristics of workers on business performance through hierarchical regression analysis, higher performance was achieved when the agency's organizational culture has the characteristics of a developed culture, and when the operating body is a school principal corporation rather than a non-profit corporation, and in the city rather than farming town, having enough information and external resources at the center, and when the job satisfaction of workers are high, and when organizational culture is more hierarchical. There were difference in the result of analysing the effect of organizational characteristic and culture and characteristic of workers on business performance. The level of service and business value of Family Service Organization was higher when the agency's organizational culture has the characteristics of a developed culture, hierarchical culture and agreement culture, and when operating body is a school principal corporation rather than a non-profit corporation, having enough information and external resources at the center, and the administrative skills of workers are higher. Business volume is increased when the operating body is a school principal corporation rather than a non-profit corporation, and in the city rather than farming town, and when the agency's organizational culture has the characteristics of hierarchical culture and agreement culture, having enough external resources at the center, and the practicing ability of workers are higher. When it comes to business efficiency, it is increased when the agency's organizational culture has the characteristics of developed culture and the job satisfaction of workers are high, having enough external and financial resources at the center. Therefore we will need to enhance business performance through improved management and job satisfaction of employees in organizational culture.

• Journal of KIISE:Computer Systems and Theory
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• v.29 no.11
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• pp.589-600
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• 2002

Deformable models offer an attractive approach for extracting three-dimensional boundary structures from volumetric images. However, conventional deformable models have three major limitations - sensitive to initial condition, difficult to represent complex boundaries with severe object concavities and protrusions, and self-intersective between model elements. This paper proposes a deformable model that is effective to extract geometrically complex boundary surfaces by improving away the limitations of conventional deformable models. First, the proposed deformable model resamples its elements hierarchically based on volume image pyramid. The hierarchical resampling overcomes sensitivity to initialization by extracting the boundaries of objects in a multiscale scheme and enhances geometric flexibility to be well adapted to complex image features by refining and regularizing the size of model elements based on voxel size. Second, the physics-based formulation of our model integrates conventional internal and external forces, as well as a non-self-intersecting force. The non-self-intersecting force effectively prevents collision or crossing over between non-neighboring model elements by pushing each other apart if they are closer than a limited distance. We show that the proposed model successively extracts the complex boundaries including severe concavities and protrusions, neither depending on initial position nor causing self-intersection, through the experiments on several computer-generated volume images and brain MR volume images.