• Title/Summary/Keyword: Multi-Focus

Search Result 744, Processing Time 0.024 seconds

A Study on the Evaluation of Sound Insulation Performance of Double Skin Facade -Focus on the Multi-story type of Double Skin Facade- (이중외피시스템의 차음성능 평가에 관한 연구 -전면형 이중외피시스템을 중심으로-)

  • 석호태;차민철
    • Journal of the Korean housing association
    • /
    • v.15 no.2
    • /
    • pp.11-18
    • /
    • 2004
  • The purpose of this study is to evaluate the sound insulation performance and present fundamental data for sound insulation plan about open and close windows of inner facade and outer facade of Double-skin Facade system applied to multi-story type. The Headquarter of Green Building and the Energy Saving Building in the Korea Institute of Energy Research was selected for experiment. Measurement method which are specified in the Korea Standard 2235 were selected for this study. As the result of this study, 1) Sound insulation performance of Multi-layer type of Double-skin Facades is very excellent about outdoor noise. 2) Vertical level is higher, it shows that more decreases sound pressure level.

A Study on Effective ATM Multi-Path Routing Method (효율적인 ATM 다중 경로 라우팅 기법에 관한 연구)

  • Go, Jang-Hyeok;Lee, Dong-Ho
    • The Transactions of the Korea Information Processing Society
    • /
    • v.6 no.3
    • /
    • pp.681-691
    • /
    • 1999
  • It was already proved that ATM stability and flexibility of service application, but because of the various characteristics of traffics and the QoS on user demand caused by them, there are a lot of researches for traffic management method. However, there are a few of researches for ATM routing method acting on traffic management practically. In this paper, we focus on multi-path routing method transporting cells with multiple paths and compare this method with existing single path routing method and analyze multi-path routing method into three elements with simple formula and propose anew methods improving the performance of ATM routing and simulate these methods.

  • PDF

Quality Assessment of Clothing Products Using a Fuzzy/Multi-Attribute Model (퍼지-다속성 모델을 이용한 의류품질의 감성공학적 평가)

  • 김주용;이지현
    • Science of Emotion and Sensibility
    • /
    • v.7 no.2
    • /
    • pp.149-155
    • /
    • 2004
  • This research focus on analyzing the quality of clothing product in view of consumer's sensibility trend with a emphasis on measuring objective quality of pruduct. The fuzzy logic-based multi attribute model has been developed in order to evaluate the quality of clothing product. The overall quality of a clothing products can be divided into two distinct terms, product quality and brand value. Those two values are further analyzed with a relation to human sensibility.

  • PDF

A study on Multi-cell Combined Network (다중 셀 결합 망에 관한 연구)

  • 조석팔
    • The Journal of Information Technology
    • /
    • v.2 no.1
    • /
    • pp.1-13
    • /
    • 1999
  • Multi-cell combined networks that provide coverage to the same areas by several cells of different sizes are useful to accommodate high traffic density while keeping high quality of service. This gives an overview of recent contributions on this subject, Two main issues are considered: spectrum sharing between different layers with a focus on F/TDMA systems and teletraffic performance of multi-cell combined networks given different handover policies

  • PDF

Typology of Retrieval Systems based on the Degree of Connections between Systems and Information Resources: Specific Domain Focus Model (SDFM) for Information Retrieval Interaction (시스템-정보자료 군(群) 연계정도 기반 검색시스템 유형화 - 특정영역 초점 정보검색 상호작용 모형 -)

  • Kim, Yang-woo
    • Journal of the Korean BIBLIA Society for library and Information Science
    • /
    • v.30 no.2
    • /
    • pp.145-166
    • /
    • 2019
  • While a significant number of user-related models have been presented in Human Information Behavior (HIB) research community, the basic assumption of the present study is most of those models including information interaction models are multi-domain models associated with comprehensive research components. Based on such an assumption, this study discusses the shortcomings of multi-domain models and proposes the need to present a new type of model. Accordingly, the study elaborates four essential models of HIB reach community and presents a new type of model based on Specific Domain Focus Modeling (SDFM). As an example of such modeling, this study presents the present author's information retrieval interaction model based on the degree of connections between systems and information resources.

Intelligent Traffic Prediction by Multi-sensor Fusion using Multi-threaded Machine Learning

  • Aung, Swe Sw;Nagayama, Itaru;Tamaki, Shiro
    • IEIE Transactions on Smart Processing and Computing
    • /
    • v.5 no.6
    • /
    • pp.430-439
    • /
    • 2016
  • Estimation and analysis of traffic jams plays a vital role in an intelligent transportation system and advances safety in the transportation system as well as mobility and optimization of environmental impact. For these reasons, many researchers currently mainly focus on the brilliant machine learning-based prediction approaches for traffic prediction systems. This paper primarily addresses the analysis and comparison of prediction accuracy between two machine learning algorithms: Naïve Bayes and K-Nearest Neighbor (K-NN). Based on the fact that optimized estimation accuracy of these methods mainly depends on a large amount of recounted data and that they require much time to compute the same function heuristically for each action, we propose an approach that applies multi-threading to these heuristic methods. It is obvious that the greater the amount of historical data, the more processing time is necessary. For a real-time system, operational response time is vital, and the proposed system also focuses on the time complexity cost as well as computational complexity. It is experimentally confirmed that K-NN does much better than Naïve Bayes, not only in prediction accuracy but also in processing time. Multi-threading-based K-NN could compute four times faster than classical K-NN, whereas multi-threading-based Naïve Bayes could process only twice as fast as classical Bayes.

Environment Adaptive Sound Localization for Multi-Channel Surround Sound System

  • Lee, Yoon Bae;Mariappan, Vinayagam;Cho, Juphil;Lee, Seon Hee
    • International journal of advanced smart convergence
    • /
    • v.5 no.4
    • /
    • pp.21-25
    • /
    • 2016
  • Recent development in multi-channel surround is emerging in various formats to provide better stereoscopic and sound effects to consumers in recent broadcasting. The ability sound localize the sound sources in space is most considerable design factor on multi-channel surround system for human earing perception model. However, this paper propose the change of the sound localization according to the spacing of the speakers, which is not covered in the existing research focus on sound system design. Presently the sound system uses the position and number of the speakers to localize the sound. In the multi-channel surround environment, the proposed design uses the sound localization is caused by the directional characteristics of the speaker, the distance between the speakers and the distance between the listener and the speaker according to the directivity is required. The proposed design is simulated using virtual measurement with MATLAB simulation environment and performances are measured.

Energy-Efficient Resource Allocation for Heterogeneous Cognitive Radio Network based on Two-Tier Crossover Genetic Algorithm

  • Jiao, Yan;Joe, Inwhee
    • Journal of Communications and Networks
    • /
    • v.18 no.1
    • /
    • pp.112-122
    • /
    • 2016
  • Cognitive radio (CR) is considered an attractive technology to deal with the spectrum scarcity problem. Multi-radio access technology (multi-RAT) can improve network capacity because data are transmitted by multiple RANs (radio access networks) concurrently. Thus, multi-RAT embedded in a cognitive radio network (CRN) is a promising paradigm for developing spectrum efficiency and network capacity in future wireless networks. In this study, we consider a new CRN model in which the primary user networks consist of heterogeneous primary users (PUs). Specifically, we focus on the energy-efficient resource allocation (EERA) problem for CR users with a special location coverage overlapping region in which heterogeneous PUs operate simultaneously via multi-RAT. We propose a two-tier crossover genetic algorithm-based search scheme to obtain an optimal solution in terms of the power and bandwidth. In addition, we introduce a radio environment map to manage the resource allocation and network synchronization. The simulation results show the proposed algorithm is stable and has faster convergence. Our proposal can significantly increase the energy efficiency.

Cost-Aware Scheduling of Computation-Intensive Tasks on Multi-Core Server

  • Ding, Youwei;Liu, Liang;Hu, Kongfa;Dai, Caiyan
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.12 no.11
    • /
    • pp.5465-5480
    • /
    • 2018
  • Energy-efficient task scheduling on multi-core server is a fundamental issue in green cloud computing. Multi-core processors are widely used in mobile devices, personal computers, and servers. Existing energy efficient task scheduling methods chiefly focus on reducing the energy consumption of the processor itself, and assume that the cores of the processor are controlled independently. However, the cores of some processors in the market are divided into several voltage islands, in each of which the cores must operate on the same status, and the cost of the server includes not only energy cost of the processor but also the energy of other components of the server and the cost of user waiting time. In this paper, we propose a cost-aware scheduling algorithm ICAS for computation intensive tasks on multi-core server. Tasks are first allocated to cores, and optimal frequency of each core is computed, and the frequency of each voltage island is finally determined. The experiments' results show the cost of ICAS is much lower than the existing method.

Controller Backup and Replication for Reliable Multi-domain SDN

  • Mao, Junli;Chen, Lishui;Li, Jiacong;Ge, Yi
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.14 no.12
    • /
    • pp.4725-4747
    • /
    • 2020
  • Software defined networking (SDN) is considered to be one of the most promising paradigms in the future. To solve the scalability and performance problem that a single and centralized controller suffers from, the distributed multi-controller architecture is adopted, thus forms multi-domain SDN. In a multi-domain SDN network, it is of great importance to ensure a reliable control plane. In this paper, we focus on the reliability problem of multi-domain SDN against controller failure from perspectives of backup controller deployment and controller replication. We firstly propose a placement algorithm for backup controllers, which considers both the reliability and the cost factors. Then a controller replication mechanism based on shared data storage is proposed to solve the inconsistency between the active and standby controllers. We also propose a shared data storage layout method that considers both reliability and performance. Besides, a fault recovery and repair process is designed based on the controller backup and shared data storage mechanism. Simulations show that our approach can recover and repair controller failure. Evaluation results also show that the proposed backup controller placement approach is more effective than other methods.