• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.345-350
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• 2021

The maintenance of sensor networks, installed in a wide area has been an issue for a long time. In order to solve this problem, studies to supply energy to a sensor network using a robot has been carried out by several researchers. In this study, for a sensor network consisting of power nodes supplied with energy by multiple robots and sensor nodes around them, we propose a method of allocating a work area using a modified k-means algorithm so that the robots move the minimum distance. Through the simulation study using the energy transfer rate of the robot as a variable, it is shown that nodes of each allocated area can maintain survival, and the validity of the proposed modified k-means algorithm is verified.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.2
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• pp.97-101
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• 2022

In this paper, we propose a method of measuring Fine dust in images using K-means and Sobel-mask based edge detection techniques using CCTV. The proposed algorithm collects images using a CCTV camera and designates an image range through a region of interest. When clustering is completed by applying the K-means algorithm, outline is detected through Sobel-mask, edge strength is measured, and the concentration of fine dust is determined based on the measured data. The proposed method extracts the contour of the mountain range using the characteristics of Sobel-mask, which has an advantage in diagonal measurement, and shows the difference in detection according to the concentration of fine dust as an experimental result.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.177-182
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• 2022

Technology is progressing with every passing day and the enormous usage of electricity is becoming a necessity. One of the techniques to enjoy the assistances in a smart home is the efficiency to manage the electric energy. When electric energy is managed in an appropriate way, it drastically saves sufficient power even to be spent during hard time as when hit by natural calamities. To accomplish this, prediction of energy consumption plays a very important role. This proposed prediction model Coherent Weighted K-Means Clustering ARIMA (CWKMCA) enhances the weighted k-means clustering technique by adding weights to the cluster points. Forecasting is done using the ARIMA model based on the centroid of the clusters produced. The dataset for this proposed work is taken from the Pecan Project in Texas, USA. The level of accuracy of this model is compared with the traditional ARIMA model and the Weighted K-Means Clustering ARIMA Model. When predicting,errors such as RMSE, MAPE, AIC and AICC are analysed, the results of this suggested work reveal lower values than the ARIMA and Weighted K-Means Clustering ARIMA models. This model also has a greater loglikelihood, demonstrating that this model outperforms the ARIMA model for time series forecasting.

• The Korean Journal of Applied Statistics
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• v.22 no.4
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• pp.723-733
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• 2009

The crucial problems of K-means clustering are deciding the number of clusters and initial centroids of clusters. Hence, the steps of K-means clustering are generally consisted of two-stage clustering procedure. The first stage is to run hierarchical clusters to obtain the number of clusters and cluster centroids and second stage is to run nonhierarchical K-means clustering using the results of first stage. Here we provide automated K-means clustering procedure to be useful to obtain initial centroids of clusters which can also be useful for large data sets, and provide software program implemented using R.

• Journal of Internet Computing and Services
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• v.10 no.1
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• pp.101-110
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• 2009

Multi-agent systems are mostly used to integrate the intelligent and distributed approaches to various systems for effective sharing of resources and dynamic system reconfigurations. Object replication is usually used to implement fault tolerance and solve the problem of unexpected failures to the system. This paper presents the intelligent multi-agent distributed platform based on the dynamic object group management and proposes an object search technique based on the proposed filtered k-means (Fk-means). We propose Fk-means for the search mechanism to find alternative objects in the event of object failures and transparently reconnect client to the object. The filtering range of Fk-means value is set only to include relevant objects within the group to perform the search method efficiently. The simulation result shows that the proposed mechanism provides fast and accurate search for the distributed object groups.

• Journal of Sasang Constitutional Medicine
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• v.9 no.1
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• pp.245-253
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• 1997

The methodology of the Oriental philosophy is deductive and that of the of Occidental philosophy is inductive. Therefore study on the Oriental philosophy must start from right comprehension of fundamental premise before detailed analysis. The writer studied the meaning of the cosmology which forms the basis of Sa-sang constitutional philosophy and the propriety of visceral assignment by Sa-sang constitution which forms the theoletiacal basis of Sa-sang constitutional medicine. The results are following ; 1. The cosmology of Lee jae-ma has the existent principle but don't have the side of the formative principie. 2. The cosmology of Lee jae-ma is not that searchs for the objective rule of nature but that centers around a human being by subjective understanding system. 3. The cosmology consists of four elements, that is mind(心), body(身), events(事), and nature(物). Among them mind and body means a human being, nature means the natural environment containing time and space, events means not that of nature but that of human being. 4. The mind and body as Yin-yang(陰陽) means the state which objects and self become one. 5. The mind as the Great-Absolute(太極) has the possibility of two interpretation, Firstly it means the state of the source of life which nature and human being become one, and secondly it means that the mind of a human being becomes the cosmos or the center of the cosmos. 6. In the visceral assignment by Sa-sang constitution the position of heart, the Great-Absolute in center is immanent within four viscera and the function of it is that the undifferentiated unitary organic body, after it is diffrentiated still serves as the unitary organic whole by mutual connection, adjustment, unification and supervision. 7. The Great-Absolute in center is divided into the Great-Absolute of mind and that of body. And the Great-Absolute of body consists of the heart and the system of blood vessel, that of mind means the self-consciousness(自我).

• The Journal of Information Systems
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• v.21 no.4
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• pp.155-183
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• 2012

Means-Ends Network model was used to identify factors of means objective(means supplied by vendor) and fundamental objectives(purchasing motivations) for purchasing decision-making structure and dimensions of customer values on purchasers of internet shopping mall in Korea and China. In Means-Ends Network 6 factors(shopping travel, shipping assurance, vendor trust, online payment, product choice, and recommender systems) were found as a means objectives and 3 factors(shopping convenience, internet environment, customer support) as a fundamental objectives of shopping. However the results of hypotheses test for Means-Ends Network show some important differences between two countries. Something important to notice here is that Chinese customers shopping in China recognize shipping assurance factor and vendor trust factor as important factors satisfying all fundamental objectives unlike as in the case of our country. As these two factors are attribution factors responsible to the sellers, it is identified that customers do not trust the sellers and sellers have not met the expectations of customers. Therefore, these results show that the seller efforts assuring the reliability of the seller themselves, such as conducting its own compensation scheme are more important rather than the establishment of the guarantee institution to guarantee reliability and delivery assurance of sellers and implementation of legal and institutional apparatus such as the settlement of e-commerce licence system. Though this study presents such an important marketing implications, it can be pointed out that the limits are this research was done on the general Internet shopping malls without considering the Internet shopping mall types of diversity, the survey was designed around the student samples for convenience of the investigation because it was an international survey and the collected data has been limited to the western coast cities, such as China's Beijing, Shanghai, and Dalian.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.7 no.4
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• pp.151-158
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• 2014

In this paper, we introduce an inference system using hard scatter partition method and model the nonlinear process. To do this, we use the hard scatter partition method that partition the input space in the scatter form with the value of the membership degree of 0 or 1. The proposed method is implemented by C-Means clustering algorithm. and is used for the initial center values by means of binary split. by applying the LBG algorithm to compensate for shortcomings in the sensitive initial center value. Hard-scatter-partitioned input space forms the rules in the rule-based system modeling. The premise parameters of the rules are determined by membership matrix by means of C-Means clustering algorithm. The consequence part of the rules is expressed in the form of polynomial functions and the coefficient parameters of each rule are determined by the standard least-squares method. The data widely used in nonlinear process is used to model the nonlinear process and evaluate the characteristics of nonlinear process.

• The KIPS Transactions:PartB
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• v.11B no.2
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• pp.159-168
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• 2004

This paper presents hybrid classification method to improve the performance of satellite images classification by combining Bayesian maximum likelihood classifier, ISODATA clustering and fuzzy C-Means algorithm. In this paper, the training data of each class were generated by separating the spectral signature using ISODATA clustering. We can classify according to pixel's membership grade followed by cluster center of fuzzy C-Means algorithm as the mean value of training data for each class. Bayesian maximum likelihood classifier is performed with prior probability by result of fuzzy C-Means classification. The results shows that proposed method could improve performance of classification method and also perform classification with no concern about spectral signature of the training data. The proposed method Is applied to a Landsat TM satellite image for the verifying test.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.774-787
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• 2021

This thesis is a follow-up study on HwangJeNaeGyeogSoMun(SoMun). Its purpose is the usage of '心' letter used in HwangjenaegyeogYoungChu(YoungChu). The original manuscript of this study was the Hu's Gulin Sanctum of YoungChu. It was conducted by a literature review. Typically, the word '心' means a tangible heart and an intangible mind in the same form. Therefore, in order to understand the contents of the YoungChu, which provides the basis for the basic ideology related to health care, meditation, GiGong training, yoga, practice and oriental medicine, it is necessary to understand the meaning of the word '心' letter. The results of this study are as follows. First, it means human heart. Second, it means the human chest. Third, it means mind such as angry, joy sad, fear and so on. Fourth, it means the transcendent concept like spiritual enlightenment. Fifth, it means the pericardium. Sixth, it means logical thinking. Seventh, it means center or core, Eighth, it means the name of the constellation in the eastern sky of ancient Asia. Ninth, it can be classified into the inside. It can be used as a basic data to understand the contents of YoungChu related to various categories. The limitation of it is that the classification of the '心' letter may be different from the researchers' perspective.