• International Journal of Internet, Broadcasting and Communication
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• 제13권1호
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• pp.210-218
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• 2021

CNN (Convolutional Neural Network), a type of deep learning algorithm, is a type of artificial neural network used to analyze visual images. In deep learning, it is classified as a deep neural network and is most commonly used for visual image analysis. Accordingly, an AI autonomous driving model was constructed through real-time image processing, and a crosswalk image of a road was used as an obstacle. In this paper, we proposed a low-cost model that can actually implement autonomous driving based on the CNN model. The most well-known deep neural network technique for autonomous driving is investigated and an end-to-end model is applied. In particular, it was shown that training and self-driving on a simulated road is possible through a practical approach to realizing lane detection and keeping.

• Journal of information and communication convergence engineering
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• 제20권4호
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• pp.295-302
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• 2022

This paper contains the development of a smart power device designed to collect load power data from industrial manufacturing machines, predict future variations in load power data, and detect abnormal data in advance by applying a machine learning-based prediction algorithm. The proposed load power data prediction model is implemented using a Long Short-Term Memory (LSTM) algorithm with high accuracy and relatively low complexity. The Flask and REST API are used to provide prediction results to users in a graphical interface. In addition, we present the results of experiments conducted to evaluate the performance of the proposed approach, which show that our model exhibited the highest accuracy compared with Multilayer Perceptron (MLP), Random Forest (RF), and Support Vector Machine (SVM) models. Moreover, we expect our method's accuracy could be improved by further optimizing the hyperparameter values and training the model for a longer period of time using a larger amount of data.

• 한국위성정보통신학회논문지
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• 제12권3호
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• pp.74-79
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• 2017

본 논문에서는 머신러닝 알고리즘 중 하나인 다층 퍼셉트론을 기반으로 전력선통신 시스템에서의 수신 신호를 이용하여 송신단에서 전송한 원신호를 예측하는 시스템 모델을 제안한다. 전력망을 활용한 통신 방식을 사용하는 전력선통신 시스템은 일반적인 통신설로를 활용하는 통신 방식에 비해 잡음이 많다. 이 때문에 전력선통신 시스템의 성능이 저하가 되는 문제가 발생한다. 이를 해결하기 위해 본 논문에서 제안하는 통신 시스템 모델을 이용하면 원신호 예측을 통해 잡음의 영향이 최소화되어 전력선통신 시스템의 성능저하를 완화시킨다. 본 논문에서는 제안한 통신 시스템 모델을 백색 잡음 환경에 적용하여 시뮬레이션을 해봄으로써 원신호가 예측 되는지를 입증한다.

• 한국유통학회지:유통연구
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• 제8권2호
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• pp.67-84
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• 2003

본 연구는 경로구성원의 관계가 단기적인 관점에서 장기적인 관점으로 전환되는 시점에서 경로구성원간 의사소통 질의 중요성을 확인하기 위하여 진행되었다. 과거의 영향전략 연구가 경로구성원의 힘-의존 관계에서의 불균형 관계에 주로 초점을 맞춘 반면, 의사소통 질이라는 개념을 도출하여, 관계적인 경로구성원의 의사소통 측면을 고려하였다. 기존 연구에서 다루어지고 있는 의사소통 질은 경로구성원간에 전달되는 정보의 정확성, 적시성, 유용성, 신뢰성이 확보된 것을 의미한다. 연구모형에서 의사소통 질의 선행요소로서 정보공유 의지, 정보제공 능력을 도입하였고, 의사소통 질의 성과를 검토하기 위하여 갈등수준과의 관계를 점검하였다. 실증은 PC제조업체와 대리점의 관계를 대리점의 관점에서 진행하였다. 결과는, 대체로 기대와 일치하게 나타났으나, 의사소통 질에 대한 정보공유 의지의 영향은 직접적으로 나타나기 보다 정보제공 능력을 경유하여 간접적으로 전달됨을 발견하였다.

• 유통과학연구
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• 제14권4호
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• pp.55-66
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• 2016

Purpose - This article aims to explore the characteristics of disaster risk distribution information in China. Also, this research attempts to analyze the findings of risk communication using case study in chronological order in terms of social amplification of risk. To achieve the purpose, the paper reviews the trends and issues of risk communication in China, with an emphasis on examining earthquakes by a chronological approach. In these regards, we hope that some relevant findings from this empirical study with cases will be able to enhance national risk communication and provide implications in Korea as well. Research design, data, and methodology - The conceptual framework of this study is theoretically based on the risk amplification model, which describes signals about risk transmitted and processed by individuals and social groups. The social amplification of risk also reflects the interactions of social groups about disaster-related risk issues, which are potential amplifiers or attenuators of communication signals. The key concept of social amplification implies that the risks pertaining to natural disasters interact with social, psychological, institutional, and cultural processes in ways that can affect public perceptions of risk. SMCRE Model is methodologically employed to examine risk communication history of China with the focus on natural disaster. Four earthquakes are selected to figure out the chronological characteristics of risk communication since 1970s. He bei Tang Shan earthquake is selected as an example disaster before 1990's, while the earthquake in Yun Nan Jiang is explored for the case study of 1990's. The earthquake in Si Chuan Wen Chuan is also examined as a example disaster of 2000's. The recent earthquake in Si Chuan Ya An Lu Shan is selected as a case of 2010s. Results - SMCRE model in this case study is operationally defined as a methodology and applied to the four earthquakes occurred in China. SMCRE model describes the exchange of risk information and is also applied to all forms of communication between stake holders. Each factor of risk communication includes source, message, channel, receiver and effect. It is notable that a big progress has been made on disaster risk communication in China for the past 40 years. We also found that highly developed information technology has enabled Chinese society to better cope with natural disaster, leading to enhanced disaster risk communication. It is mainly found from case study that the disaster risk communication of China has been involved with political situation, which derived from the change of government for the past 40 years. Conclusion - From this historical research, it can be inferred that the policies and politics of Chinese leaders have had a more critical role to play in the process of source of risk communication than those of any other countries. The results of this paper also support that the effective risk communication involves not only the improved reliability of local government as a key factor of disaster risk communication, but also is accompanied by international cooperation for substantial collaboration with stake holders.

• 유통과학연구
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• 제20권6호
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• pp.1-10
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• 2022

Purpose: This research proposes a new modified Recency-Frequency-Monetary (RFM) model by extending the model with spatial analysis for supporting decision-makers in discovering the promotional target market. Research design, data and methodology: This quantitative research utilizes data-mining techniques and the RFM model to cluster a university's provider schools. The RFM model was modified by adapting its variables to the university's marketing context and adding a district's potential (D) variable based on heatmap analysis using Geographic Information System (GIS) and K-means clustering. The K-prototype algorithm and the Elbow method were applied to find provider school clusters using the proposed RFM-D model. After profiling the clusters, the target segment was assigned. The model was validated using empirical data from an Indonesian university, and its performance was compared to the Customer Lifetime Value (CLV)-based RFM utilizing accuracy, precision, recall, and F1-score metrics. Results: This research identified five clusters. The target segment was chosen from the highest-value and high-value clusters that comprised 17.80% of provider schools but can contribute 75.77% of students. Conclusions: The proposed model recommended more targeted schools in higher-potential districts and predicted the target segment with 0.99 accuracies, outperforming the CLV-based model. The empirical findings help university management determine the promotion location and allocate resources for promotional information distribution and student recruitment.

• JSTS:Journal of Semiconductor Technology and Science
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• 제12권3호
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• pp.320-330
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• 2012

In this paper, we investigate the power integrity of grid structures for power and ground distribution on printed circuit board (PCB). We propose the 2D transmission line method (TLM)-based model for efficient frequency-dependent impedance characterization and PCB-package-integrated circuit (IC) co-simulation. The model includes an equivalent circuit model of fringing capacitance and probing ports. The accuracy of the proposed grid model is verified with test structure measurements and 3D electromagnetic (EM) simulations. If the grid structures replace the plane structures in PCBs, they should provide effective shielding of the electromagnetic interference in mobile systems. An analytical model to predict the shielding effectiveness (SE) of the grid structures is proposed and verified with EM simulations.

• Journal of information and communication convergence engineering
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• 제15권3호
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• pp.143-150
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• 2017

Absorption of microwave radio frequency signal by atmospheric rain is prevalent at frequencies above 10 GHz. This paper presents the studies on rain attenuation at 18 GHz for 3.2 km experimental link between Khumdang (Korea Telecom, KT station) and Icheon (National Radio Research Agency, RRA station). The received signal data for rain attenuation and rain rate were collected at 10 second intervals over a three year periods from 2013 to 2015. Out of several models, the paper present discussion and comparison of ITU-R P.530-16 model, Moupfouma model, Da Silva Mello model along with suitable rain attenuation prediction method. The limitation of research lies on the experimental system that is set up in only one location, however, the preliminary results indicate the application of suitable 1-minute rain attenuation model for specific site. The method provides useful information for microwave engineers and researchers in making decision over the choice of most suitable rain attenuation prediction in terrestrial links.

• Journal of applied mathematics & informatics
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• 제15권1_2호
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• pp.511-525
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• 2004

we model communication and computer systems that process interactive and several and several types of background jobs. The scheduling policy in use is to share the processor among all interactive jobs and, at most, one background job of each type at a time according to the process sharing discipline. Background jobs of each type are served on a first-come-first-served basis. Such scheduling policy is called Processor Sharing with Background jobs (PSBJ). In fact, the PSBJ policy is commonly used on many communication and computer systems that allow interactive usage of the systems and process certain jobs in a background mode. In this paper, the stability conditions for the PSBJ policy are given and proved. Since an exact analysis of the policy seems to be very difficult, an approximate analytic model is proposed to obtain the average job sojourn times. The model requires the solution of a set of nonlinear equations, for which an iterative algorithm is given and its convergence is proved. Our results reveal that the model provides excellent estimates of average sojourn times for both interactive and background jobs with a few percent of errors in most of the cases considered.

• 한국통신학회논문지
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• 제29권12C호
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• pp.1707-1721
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• 2004

본 논문에서는 네트워크 차원의 종합적인 보안관리가 가능한 침입탐지시스템의 분산 통신모델을 제안하고 보안노드와 분산 시스템 레벨에서 각각 모델링하고 시뮬레이터를 설계하고 구현한다. 노드 레벨에서는 하드웨어기반 침입탐지를 수행하는 기가비트 보안 노드의 구조분석을 기반으로 경보 메시지의 전달 성능을 평가한다. 분산 시스템 레벨에서는 보안정책을 기반으로 네트워크 수준에서 분산 침입방지시스템의 컴포넌트 사이에 전달되는 탐지 및 경보 정보의 전달 성능을 모의실험을 통하여 성능평가를 수행한다. 제안된 모델에서 통신 메커니즘의 결정요인들을 적용하여 성능 평가를 수행하고 시스템의 정량적인 이해를 하기 위하여 결과를 제시한다.