• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.6 no.3
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• pp.131-146
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• 2011

This dissertation analyzed the satisfaction of corrective counseling programs for Korean domestic violence offenders. I conducted a survey of Korean domestic violence offenders scattered throughout the country. The survey period was between Mar Feb. 20, 2006 and Apr. 29, 2006. The specific objects of the survey are the 250 domestic violence offenders who got counseling in the Goyang branch office of the Justice Ministry-affiliated Uijeongbu Probation & Parole Center, Ansan Citizen Welfare Society's domestic violence counseling center, Korea Domestic Violence Counseling Center Association, Korea Women's Hot Line, Korea Family Law Counseling Center and its branch offices throughout the country, and the counseling centers commissioned by the court for domestic violence offenders. The study was based on a poll on 182 of the 250 offenders. The research result includes: First, the satisfaction of corrective counseling programs for offenders varies depending upon the age, educational background, location, job, income, and childhood abuse of offenders. In particular, the less experience of childhood abuse leads to greater effect of education. Second, of the types of corrective counseling programs for offenders, the satisfaction for those in couple counseling is the greatest. This is because couple counseling is more influential than individual in the professional education that helps to share and understand couple problems.

• Water for future
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• v.28 no.4
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• pp.185-194
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• 1995

The objective of this study is to explore scale problem and to analyze the relations between scale and geomorphologic parameters of the rainfall-runoff model. Generally, measurement and calculation of geomorphologic parameters rely on and are sensitive to the resolution of source information available. Therefore, rainfall-runoff models using geomorphologic parameters should take account of the effects of the map scale used in their development. The derived rainfall-runoff model considering scale problem in this research is the GIUH type model, that is a basin IUH consisting of the channel network response and hillslope response. The cannel network response is computed by means of the diffusion analogy transformed from linearized St. Venant equation and hillslope response is calculated by 2-parameter gamma distribution function. Representing geomorphologic structure of the channel network and initial distribution of its response is width function. This width function is derived by fractal theory and Melton's law to consider scale problems and is weighted by the source location function (SLF) proposed in this research to increase the applicability.

• Journal of Internet of Things and Convergence
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• v.6 no.3
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• pp.45-52
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• 2020

In the paper, we propose a system that measures various agricultural parameters that affect crop yield and monitors location information. According to an analysis by international organizations, 60% of the world's population lives on agriculture. In addition, 11% of the world's soil is used for growing crops. For this reason, agriculture plays an important role in national development. If a problem occurs in agriculture due to weather or environmental problems, it can be a problem for national development. In order to solve these problems, it is important to modernize agriculture using modern IoT technology. It is possible to improve the agricultural environment by applying IoT technology in agriculture to build a smart environment. Through such a smart environment, it is possible to increase the yield of agricultural products, reduce water waste, and prevent overuse of fertilizers. In order to verify the proposed system, an experiment was performed in a soybean cultivation farm. Experimental results showed that using the proposed system, the moisture in the cultivated soil can be automatically maintained at 40%.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.8A
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• pp.723-729
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• 2011

FCC of U.S. permitted usage of unlicensed system on unused spectrum in TV white space after DTV transition. The unlicensed systems are required to avoid harmful interference to licensed users by employing geo-location database and spectrum sensing. The conventional spectrum sensing algorithms for ATSC signal were focused on detection of pilot signal. However, they can not guarantee detection of ATSC signal when pilot signal is attenuated by channel environment such as fading. To overcome drawbacks of conventional schemes, in this paper, we propose a signal detection and data fusion algorithm using cyclo-stationary feature weighted by signal energy. Simulation results verify that the proposed algorithm can provide 2dB SNR gain for 90% detection probability compare with the conventional scheme. We can reduce quiet period for spectrum sensing and improve signal detection probability by employing the proposed algorithm.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.4B
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• pp.610-619
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• 2010

RFID (radio frequency identification) systems, recently being used in a wide range of areas, are vulnerable to relay attack from malicious attackers. For that reason, Brands, et al. proposed a certification protocol between a certifier and a verifier based on the concept of distance-bounding, and in addition Hancke et al. introduced the concept of RFID. However, the delivery of tag IDs, one of the main RFID features, is not still available, and there are two important demerits: anonymity in the delivery of tag IDs suggested by Kim et al. and inefficiency in finding a tag ID with regard to how to check errors which may occur in the process of data exchange between readers and tags. Therefore, this study proposes a protocol that meets the requirements of tag anonymity and location untraceability, has resistance to errors which may take place in the phase of tag data exchange, and is very efficient in finding tag IDs.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.6A
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• pp.624-634
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• 2008

The mobile station which is about to do handover in IEEE 802.16e networks scans its neighboring base station channels to decide its next target base station. However, due to the lack of location information of its subscribers, the serving base station cannot provide any reliable candidate channel which is actually attachable by the scanning mobile stations, which makes the mobile station suffer from the long scanning time. Sometimes, long scanning time may cause the degradation of quality of service due to repeatable scan-duration or failure to start the handover procedure in time. To overcome these problems, in this paper, we propose a new protocol so called fast group scanning scheme, in which multiple mobile stations form a group to scan their neighboring base station channels simultaneously. Main contribution of this proposal is to find and decide a reliable target base station within a short scanning time. The fast group scanning scheme can be deployed to the cell network of the serving base station with a dynamic neighboring base station list management.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.55 no.2
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• pp.45-51
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• 2006

In this paper, we propose a new architecture of Information Granulation based genetically optimized Self-Organizing Fuzzy Polynomial Neural Networks (IG_gSOFPNN) that is based on a genetically optimized multilayer perceptron with fuzzy polynomial neurons (FPNs) and discuss its comprehensive design methodology involving mechanisms of genetic optimization, especially information granulation and genetic algorithms. The proposed IG_gSOFPNN gives rise to a structurally optimized structure and comes with a substantial level of flexibility in comparison to the one we encounter in conventional SOFPNNs. The design procedure applied in the construction of each layer of a SOFPNN deals with its structural optimization involving the selection of preferred nodes (or FPNs) with specific local characteristics (such as the number of input variables, the order of the polynomial of the consequent part of fuzzy rules, and a collection of the specific subset of input variables) and addresses specific aspects of parametric optimization. In addition, the fuzzy rules used in the networks exploit the notion of information granules defined over system's variables and formed through the process of information granulation. That is, we determine the initial location (apexes) of membership functions and initial values of polynomial function being used in the premised and consequence part of the fuzzy rules respectively. This granulation is realized with the aid of the hard c-menas clustering method (HCM). To evaluate the performance of the IG_gSOFPNN, the model is experimented with using two time series data(gas furnace process and NOx process data).

• Smart Media Journal
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• v.5 no.4
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• pp.26-40
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• 2016

Recent researches have been conducted for a user of the position acquisition and analysis since the mobile devices was developed. Trajectory data mining of location analysis method for a user is used to extract the meaningful information based on the user's trajectory. It should be preceded by a process of extracting Stay Point. In order to carry out trajectory data mining by analyzing the user of the GPS Trajectory. The conventional Stay Point extraction algorithm is low confidence because the user to arbitrarily set the threshold values. It does not distinguish between staying indoors and outdoors. Thus, the ambiguity of the position is increased. In this paper we proposed extraction method of Stay Point using a statistical analysis. We proposed algorithm improves position accuracy by extracting the points that are staying indoors and outdoors using Gaussian distribution. And we also improve reliability of the algorithm since that does not use arbitrarily set threshold.

• Smart Media Journal
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• v.5 no.4
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• pp.90-95
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• 2016

Recently, the quality of cultural experience can be improved through a stereoscopic information service provided by the latest mobile-based Information Telecommunication technology without the human cultural commentators, which was used in order to enhance the understanding of our cultural heritage. The purpose of this paper is to produce contents that introduce cultural heritage using the Android-based GPS and augmented reality. In this paper we propose a culture content creation method that is based on location information such as user/cultural anomalies using GPS and augmented reality based on Markerless Tracking. Marker Detection Technology and Markerless Tracking Technology are used for smart phone's rapid recognition of augmented real world and accurate recognition according to the state of the cultural heritage. Also, the Google Map of Android is used to locate the user. The strength of this method lies in that it can be used for a variety of subjects while the existing methods are limited to certain kinds of augmented reality contents.

• Journal of the Korea institute for structural maintenance and inspection
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• v.24 no.2
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• pp.15-22
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• 2020

In this paper, seismic ground motion generation method based on the observbation data from the Korea Meteorological Administration is proposed to predict the acceleration time history at an arbitrary location after earthquake. The proposed method assumes that the magnitude of the seismic accelrations obtained from the near stations decreases linearly with the distance from the epicenter to the corresponding station and the accelerations measured at the adjacent stations are assumed to have similar maximum acceleration and time shape functions. These two assumptions allow for the prediction of seismic acceleartion motion without geotechnical information where no seismic accelerometer is installed. This study verified the applicability of the prediction method using seismic observation data from Gyeongju Earthquake (2016), Pohang Earthquake (2017) and Sangju Earthuqkae (2019). The comparison results show that the proposed method is effective for predicting the seismic acceleration response spectrum and time history at arbitary locations.