• Journal of Communications and Networks
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• v.10 no.1
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• pp.38-43
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• 2008

In this paper, adaptive channel borrowing approach fuzzy neural networks for load balancing (ACB-FNN) is presented to maximized the number of served calls and the depending on asymmetries traffic load problem. In a wireless network, the call's arrival rate, the call duration and the communication overhead between the base station and the mobile switch center are vague and uncertain. A new load balancing algorithm with cell involved negotiation is also presented in this paper. The ACB-FNN exhibits better learning abilities, optimization abilities, robustness, and fault-tolerant capability thus yielding better performance compared with other algorithms. It aims to efficiently satisfy their diverse quality-of-service (QoS) requirements. The results show that our algorithm has lower blocking rate, lower dropping rate, less update overhead, and shorter channel acquisition delay than previous methods.

• 한국정보통신설비학회:학술대회논문집
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• 2008.08a
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• pp.495-499
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• 2008

Last year UMTS (UMTS: Universal Mobile Telecommunication System) 3G service started and these days 3 its service subscribers sharply increased. Now totally we have been increasing 13 million subscribers, every month 0.8 million people join 3G Service. MSC (Mobile Switching Center) is most important equipment in 3G system, so we call it 'core' network. Higher capacity MSC required to accommodating 1 million subscribers. It is very important whether MSC can accommodate maximum subscriber or not. So systematic analysis, reliable test results are required. This article presents WCDMA MSC performance evaluation case. This would be some direction for designing and developing some communication equipment. This Case Study demonstrates our MSC system performance.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1012-1012
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• 2001

The elegant early experiments of Herschel demonstrated that there is light after the visible spectrum in a region we call the near infrared (NIR). This was followed by the work which showed that the spectrum went further into what we call the mid infrared (MIR). The MIR has been used for many years as a qualitative and quantitative region to measure constituent values. The MIR region contains the fundamental vibrations which can be theoretically calculated from symmetry rules and harmonic oscillator equations. The NIR is not as straight forward because the region from 400-2500 nm does not contain any of the fundamental vibrations only combination bands and overtones. Over the past fifty years efforts to understand the NIR have largely been ignored while the quantitative aspects of the region have been utilized. This presentation will focus on the efforts to define terms for NIR, examine the calculation of combination bands and overtones and ways to interpret the spectra. The interpretation of the NIR has been aided greatly in recent years by the use of two dimensional spectroscopy which allows the correlation of bands in one spectral region with that of the NIR.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.886-889
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• 2010

정보 통신 기술의 발달 및 국민의 온라인 정부 민원 참여가 늘어나면서 민원인에 대한 범정부적 one-call, one-stop 서비스가 필요하게 되었다. 본 논문에서는 정부기관의 콜센터를 통합하여 편리하고 신속한 맞춤형 전화민원서비스를 제공할 수 있는 정부통합콜센터의 개념, 기능 및 발전방향을 제시하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.830-833
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• 2020

콜센터에서 인력 스케줄링은 매우 중요하다. 모든 콜센터에서 인건비는 고정비 성격이 강하여 차지하는 비중이 매우 높아 콜센터의 이익을 좌지우지한다. 그렇기 때문에 콜센터의 적정 인력의 고용과 배치는 인건비 뿐만 아니라 콜 성공률 또한 직결되어 있어 콜센터 운영에서 중요한 사안이라고 할 수 있다. 대부분의 콜센터가 현재까지도 관리자의 경험에 의해 인력배치를 수립하는데, 이러한 방법은 과학적이지 않으며 인원수에 영향을 미치는 모든 변수들을 고려할 수 없다. 과거 수학적 모델을 수립하는 것이었다면, 지금은 모델을 학습시키고, 학습된 모델을 기반으로 미래의 고객과 인원수를 예측해야 한다. 본 논문에서는 수리제약식을 통해 다양한 변수들을 고려하고 비선형 정수 계획법과 딥러닝 기반의 예측 값을 이용하여 비선형 정수계획법을 통해 최적의 인력배치 스케줄링을 수립하였다.

• Journal of Information Technology Services
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• v.8 no.1
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• pp.29-45
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• 2009

In this research, a model to measure the correlation between the performance of customer contact center and the business performance is developed using the well-known model, the market damage model of TARP. Three hypotheses are suggested and verified using real customer profit data and customer access data of the Industrial bank of Korea. As a result of this research, we know that there is a positive relation between increase of business profit and contact experience of customers to customer contact center. Also, customer satisfaction level for customer contact center contact experience is positively correlated with increase of business profit of the company. However, we could not find a meaningful correlation result between number of contacts to customer contact center and the business profit. Although this study is based on a particular one company data, the analyzation framework can be applicable to other banking companies for showing relations between performance of customer contact center and business profit of the company.

• Proceedings of the KIPE Conference
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• 2004.07b
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• pp.815-818
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• 2004

The emerging applications such as reliable back-up power system and renewable energy call for high boost U-n converter. The conventional topologies to get high output voltage are using flyback circuit, cascade converters, and coupled inductor DC-DC converter. They have the stress and loss related to the leakage energy which results in low efficiency Tn this paper, novel high boost converter is presented. It has a structure of cascade boost converter but only one switch. Therefore, drive circuit is simple and extreme duty ratio is eliminated. To verify the proposed circuit, theoretical analysis and experimental results has been done using a prototype power supply.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.144-147
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• 2014

스마트폰은 보편화되었고 가전기기나 각종 생활 기기에 통신 장치 및 센서가 내장되어 스마트폰과 연동되는 다양한 스마트 기기들이 개발되고 있다. 또한 사용자가 인지하지 못한 상태에서 사용자에게 자동으로 편의 기능을 제공하는 서비스 기술들이 매우 활발하게 개발되고 있다. 하지만 현재의 스마트폰을 이용한 음성 통화는 단순한 사용자 인터페이스 수준에 머물고 있다. 따라서 본 논문에서는 정황 인지형 커뮤니케이션 기술을 활용하여 개인 맞춤형 및 다수 통화자간의 인터랙티브 커뮤니케이션 서비스에 대한 구조 및 요소기술에 대하여 제안한다.

• The Journal of Korean Institute of Next Generation Computing
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• v.13 no.6
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• pp.96-105
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• 2017

In this paper, we investigated the age classification from the speaker by analyzing the voice calls of the emergency center. We classified the adult and elderly from the call center calls using behavioral speech utterances and SVM(Support Vector Machine) which is a machine learning classifier. We selected two behavioral speech utterances through analysis of the call data from the emergency center: Silent Pause and Turn-taking latency. First, the criteria for age classification selected through analysis based on the behavioral speech utterances of the emergency call center and then it was significant(p <0.05) through statistical analysis. We analyzed 200 datasets (adult: 100, elderly: 100) by the 5 fold cross-validation using the SVM(Support Vector Machine) classifier. As a result, we achieved 70% accuracy using two behavioral speech utterances. It is higher accuracy than one behavioral speech utterance. These results can be suggested age classification as a new method which is used behavioral speech utterances and will be classified by combining acoustic information(MFCC) with new behavioral speech utterances of the real voice data in the further work. Furthermore, it will contribute to the development of the emergency situation judgment system related to the age classification.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.567-569
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• 2003

Because of the limited land resources, an efficient land use management to reach the sustainable development policy has become an urgent call in Taiwan. A long-term project entitled 'National land use monitoring program-the establishment of a land use change detection system' has been jointly conducted by both National Central University and Ministry of Interior since year of 2001. The main aim of the project is to use the remote sensing images to detect the land use changes on a national scale. This plan has been put into practice and indeed provides an effective assistance for land management.