• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.1000-1002
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• 2005

In the Bluetooth piconet in which up to 7 slave devices can be connected simultaneously at one network instance, the wireless data expected to be sent over to the RF interface should be sliced by the unit of 1 micrometer, which is a requirement in the specification of the Bluetooth version 1.1. In this contribution, we have designed a digital low-pass filter which is able to slice the unstable analog signal fed from the RF interface to the Baseband, by the uniform unit of 1 micrometer, and is also capable of removing the possible noise which can be caused by the analog circuit system. The low-pass filter operated well in the various modes of the Bluetooth RF embedded Baseband chip such as sleep mode, normal mode, and high-speed mode at 12MHz, 24MHz, and 48MHz respectively.

• Smart Media Journal
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• v.13 no.4
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• pp.33-48
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• 2024

With the advent of 5G, characterized by Enhanced Mobile Broadband (eMBB), Ultra-Reliable Low Latency Communications (URLLC), and Massive Machine Type Communications (mMTC), efficient network management and service provision are becoming increasingly critical. This paper proposes a novel approach to address key challenges of 5G networks, namely ultra-high speed, ultra-low latency, and ultra-reliability, while dynamically optimizing network slicing and resource allocation using machine learning (ML) and deep learning (DL) techniques. The proposed methodology utilizes prediction models for network traffic and resource allocation, and employs Federated Learning (FL) techniques to simultaneously optimize network bandwidth, latency, and enhance privacy and security. Specifically, this paper extensively covers the implementation methods of various algorithms and models such as Random Forest and LSTM, thereby presenting methodologies for the automation and intelligence of 5G network operations. Finally, the performance enhancement effects achievable by applying ML and DL to 5G networks are validated through performance evaluation and analysis, and solutions for network slicing and resource management optimization are proposed for various industrial applications.

• Electronics and Telecommunications Trends
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• v.31 no.6
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• pp.97-106
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• 2016

본고는 2016년 3GPP 표준에서 다루어지고 있는 5G 네트워크의 표준에 관한 동향을 살펴보고자 한다. 주요분야인 네트워크 슬라이싱 기술, QoS, Mobility, Core Network 분야로 나누어 설명한다. SA2에서 TR23.799의 기술문서에 기록될 내용을 개요, Key Issue별로 다루어지는 워크태스크(Work Task)내용, 그리고 솔루션과 표준동향으로 나누어 3단계로 설명하였다.

• Proceedings of the Korea Multimedia Society Conference
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• 2001.06a
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• pp.3-7
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• 2001

본 연구에서는 다종재료를 가공할 수 있는 RP(Rapid Prototyping)인 CAFL$^{VM}$의 구현을 위해 반드시 필요한 단면정보 추출기에 대하여 연구하였다. STL 3D 모형에서 단면정보를 추출하기 위해서, 패싯(facet)과 슬라이싱(slicing) 평면이 가질 수 있는 모든 경우를 고려한 알고리즘을 개발하였다. STL 파일의 구조적인 문제점 때문에 모호성과 처리량 증가 문제가 발생하지만, 본 연구에서는 창조 버퍼를 사용하여 이러한 문제점들을 효과적으로 해결하였으며, 이를 많은 STL 3D 샘플로 검증하였다.

• Proceedings of the IEEK Conference
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• 1999.06a
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• pp.261-264
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• 1999

This paper presents a circuit-level method to deal with transistor nonuniformity In this method, which is called transistor slicing, a transistor is implemented as a parallel connection of multiple smaller transistors. The paper analyzes the method and demonstrates that transistor slicing can effectively reduce the nonuniformity in TFT mobility and threshold voltage. The method is particularly useful in Implementing analog functions using poly-silicon TFTs which show a significant level of nonuniformity.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.05a
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• pp.305-305
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• 2004

쾌속조형 기술은 3차원 CAD 데이터를 일정한 두께 간격으로 슬라이싱한 각 층을 다양한 방법으로 만들고, 이러한 층을 한층씩 적층하여 원하는 3차원 형상을 신속하게 제작하는 기술이다. 쾌속 조형법은 초기에는 광(beam)에 의해 형상이 만들어진다고 하여 광조형법이라고 불렸다. 그 후 시작품(Prototype)을 신속(Rapid)하게 제작할 수 있다는 사실로부터 'Rapid Prototyping' 또는 '쾌속 조형법' 이라고 불려지게 되었다.(중략)

• Proceedings of the Korean Information Science Society Conference
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• 2002.10d
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• pp.67-69
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• 2002

레거시 시스템은 수년간 기업에서 많은 노력과 투자하여 개발되어 왔으며 현재는 기업의 중요한 자산으로 여겨지고 있다. 하지만 수많은 수정을 거치면서 시스템은 점차 비구조화 되어지고 그에 따른 문서화 작업이 제대로 이루어지지 않았으며, 과거의 중앙 집중적인 메인 프레임환경을 웹과 같은 분산 환경으로 이전하고자 하는 비즈니스 요구사항이 점차 증대되고 있다. 본 논문에서는 레거시 시스템을 컴포넌트 래핑 기술을 이용하여 엔터프라이즈 자바 빈(EJB)으로 생성하는 지원도구 개발의 일환인 레거시 컴포넌트 식별 기법을 소개한다. 제안된 식별 기법은 비즈니스 로직을 변수 분류(Variable Classification), 슬라이싱 판별 기준, 워크플로워 분석을 이용한 레거시 컴포넌트 후보를 식별하는 방법을 제시한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.941-944
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• 2009

In this paper, we present a improved algorithm for thinning vein pattern. The vein image scanned using near infra-red is sliced in the horizontality or verticality direction, and then average value is gained from each slice image. Using curvature value changed from average value, search candidate part and extract vein pattern through re-searched candidate part in overlapping area. For the extracted vein pattern connecting, we proposed a DAL method that verify distance, angle and luminosity on pattern before tracking pattern extracted. The proposed improved thinning method is helpful for accurate connecting of vein pattern more than method used distance material in candidate part.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.4
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• pp.515-521
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• 2020

Recently, data traffic has exploded due to development of various industries, which causes problems about losing of efficiency and overloaded existing networks. To solve these problems, network slicing, which uses a virtualization technology and provides a network optimized for various services, has received a lot of attention. In this paper, we propose a resource allocation method using credit value. In the method using the clustering technology, an operation for selecting a cluster is performed whenever an allocation request for various services occurs. On the other hand, in the proposed method, the credit value is set by using the residual capacity and balancing so that the slice request can be processed without performing the operation required for cluster selection. To prove proposed method, we perform processing time and balancing simulation. As a result, the processing time and the error factor of the proposed method are reduced by about 13.72% and about 7.96% compared with the clustering method.

• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.101-112
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• 2022

In this paper, we analyze 5G network slicing and propose an efficient network slice configuration method in 5G mobile networks. Network slicing can be identified and performed based on the network slice instance information in 5G mobile networks. In case of discordance between the UE's network slice instance information and the network's one, the unnecessary signalling overhead occurs, when the UE's PDU Session Establishment request to the network fails. To solve this problem, this paper proposes two efficient network slice configuration methods, the UE-based ENSC(Efficient Network Slice Configuration) method and the Network-based ENSC method. The proposed schemes perform the prompt the configuration and provision of the updated network slice instance information between the UE and network and improve battery and resource efficiency and minimize unnecessary signalling overhead compared to existing methods in 5G mobile networks.