• Title/Summary/Keyword: Mixed Network

Search Result 532, Processing Time 0.027 seconds

A Column-Aware Index Management Using Flash Memory for Read-Intensive Databases

  • Byun, Si-Woo;Jang, Seok-Woo
    • Journal of Information Processing Systems
    • /
    • v.11 no.3
    • /
    • pp.389-405
    • /
    • 2015
  • Most traditional database systems exploit a record-oriented model where the attributes of a record are placed contiguously in a hard disk to achieve high performance writes. However, for read-mostly data warehouse systems, the column-oriented database has become a proper model because of its superior read performance. Today, flash memory is largely recognized as the preferred storage media for high-speed database systems. In this paper, we introduce a column-oriented database model based on flash memory and then propose a new column-aware flash indexing scheme for the high-speed column-oriented data warehouse systems. Our index management scheme, which uses an enhanced $B^+$-Tree, achieves superior search performance by indexing an embedded segment and packing an unused space in internal and leaf nodes. Based on the performance results of two test databases, we concluded that the column-aware flash index management outperforms the traditional scheme in the respect of the mixed operation throughput and its response time.

A Study on Distributed Indexing Technique for Digital Library (디지털 도서관을 위한 분산색인 기법에 대한 연구)

  • Yu, Chun-Sik;Lee, Jong-Deuk;Kim, Yong-Seong
    • The Transactions of the Korea Information Processing Society
    • /
    • v.6 no.2
    • /
    • pp.315-325
    • /
    • 1999
  • Indexing techniques for distributed resources have much effect on an information service system based on distributed environment like digital library. There is a centralized indexing technique, a distributed technique, and a mixed technique for distributed indexing techniques. In this paper, we propose new distributed indexing technique using EIF(extended Inverted File) structure that mix the centralized technique and t도 distributed technique. And we propose management techniques using EIF structure and retrieval technique using EIF structure. This distributed indexing technique proposed is able to fast process retrieval request and reduce network overload and select servers relevant to query terms. This paper investigated performance of a proposed distributed indexing technique.

  • PDF

Performance analysis of shape recognition in Senzimir mill control systems (젠지미어 압연기 제어시스템에서 형상인식에 관한 성능분석)

  • Lee, M.H.;Shin, J.M.;Han, S.I.;Kim, J.S.
    • Journal of Power System Engineering
    • /
    • v.15 no.5
    • /
    • pp.83-90
    • /
    • 2011
  • In general, 20-high Sendzimir mills(ZRM) use small diameter work rolls to provide massive rolling force. Because of small diameter of work rolls, steel strip has a complex shape mixed with quarter, edge and center waves. Especially when the shape of the strip is controlled automatically, the actuator saturation occurs. These problems affect the productivity and quality of products. In this paper, the problems in automatic shape control of ZRM were analyzed. In order to evaluate the problems for the automatic shape control in ZRM, recognition performance was analyzed by comparing the measured shape and the recognized shape. The actuator positions by the shape recognition and the manual operation were compared. From the analysis results, the necessity of the improvement of recognition performance in ZRM is suggested.

Long-term Chemotherapy with Hydroxyurea in a Dog with Suspected Intracranial Meningioma

  • Jung, Dong-In;Lim, Chae-Young;Kang, Byeong-Teck;Kim, Ju-Won;Yoo, Jong-Hyun;Park, Hee-Myung
    • Journal of Veterinary Clinics
    • /
    • v.25 no.6
    • /
    • pp.514-517
    • /
    • 2008
  • A 9-year-old female mixed breed dog was presented due to cluster seizure episode. A mass in the frontal lobe was noted on brain magnetic resonance imaging (MRI). The dural tail sign was identified on contrast MR images. Based on MRI findings, intracranial meningioma was suspected strongly. The patient's symptom was controlled well by a combination therapy of hydroxyurea and prednisolone, and survived for fourteen months after diagnosis. This case report demonstrated that the clinical findings, imaging characteristics of a dog with suspected intracranial meningioma and long-term survival after hydroxyurea plus prednisolone therapy.

International Migration and Export Flows: Evidence from the People's Republic of China

  • Karkanis, Dimitrios
    • East Asian Economic Review
    • /
    • v.23 no.3
    • /
    • pp.311-329
    • /
    • 2019
  • Since China's opening to international trade, the rapid growth of the country's export sector has been coupled by an intensification of migratory outflows of ethnic Chinese. The literature has already stressed the beneficial role of migration in enhancing bilateral trade. The present paper applies a gravity model in order to capture the impact of migration on Chinese exports for a relatively long period of time (1995-2017) where significant developments take place. We estimated four regressions, each of them confirming the positive network effects of migration for boosting export growth. Apart from the main finding, it appears that the role of institutional and geographical proximity can prove to be complementary for trade enhancement. The results finally suggest mixed effects due to the countries' import openness, indicating that China's free trade agreements acts as a substitute for smoothing trade competition from third countries.

Low Resolution Rate Face Recognition Based on Multi-scale CNN

  • Wang, Ji-Yuan;Lee, Eung-Joo
    • Journal of Korea Multimedia Society
    • /
    • v.21 no.12
    • /
    • pp.1467-1472
    • /
    • 2018
  • For the problem that the face image of surveillance video cannot be accurately identified due to the low resolution, this paper proposes a low resolution face recognition solution based on convolutional neural network model. Convolutional Neural Networks (CNN) model for multi-scale input The CNN model for multi-scale input is an improvement over the existing "two-step method" in which low-resolution images are up-sampled using a simple bi-cubic interpolation method. Then, the up sampled image and the high-resolution image are mixed as a model training sample. The CNN model learns the common feature space of the high- and low-resolution images, and then measures the feature similarity through the cosine distance. Finally, the recognition result is given. The experiments on the CMU PIE and Extended Yale B datasets show that the accuracy of the model is better than other comparison methods. Compared with the CMDA_BGE algorithm with the highest recognition rate, the accuracy rate is 2.5%~9.9%.

Restructuring Primary Health Care Network to Maximize Utilization and Reduce Patient Out-of-pocket Expenses

  • Bardhan, Amit Kumar;Kumar, Kaushal
    • Asian Journal of Innovation and Policy
    • /
    • v.8 no.1
    • /
    • pp.122-140
    • /
    • 2019
  • Providing free primary care to everyone is an important goal pursued by many countries under universal health care programs. Countries like India need to efficiently utilize their limited capacities towards this purpose. Unfortunately, due to a variety of reasons, patients incur substantial travel and out-of-pocket expenses for getting primary care from publicly-funded facilities. We propose a set-covering optimization model to assist health policy-makers in managing existing capacity in a better way. Decision-making should consider upgrading centers with better potential to reduce patient expenses and reallocating capacities from less preferred facilities. A multinomial logit choice model is used to predict the preferences. In this article, a brief background and literature survey along with the mixed integer linear programming (MILP) optimization model are presented. The working of the model is illustrated with the help of numerical experiments.

Extended Reality and Media Service Standardization Trends for 5G Mobile Networks (5G 네트워크의 XR 및 미디어 서비스 표준 기술 동향)

  • J.L. Ha;C.K. Kim
    • Electronics and Telecommunications Trends
    • /
    • v.38 no.2
    • /
    • pp.46-55
    • /
    • 2023
  • Extended reality (XR) provides an immersive virtual experience by using various media. The XR virtual environment enables interactions between the real and virtual worlds in virtual, augmented, and mixed reality scenarios. XR is being used in various areas such as industry, medical care, road transportation, gaming, education, and culture. XR and multimedia enhancement are important business scenarios for fifth-generation (5G) mobile networks. As users' demand for emerging media services gradually increases, enhancements in networks should be implemented for delivering multimedia services such as XR. We describe related standardization trends and requirements of the XR service in 5G mobile networks. We also discuss technological enhancements for 5G mobile networks as specified by the 3GPP SA2 working group.

Performance Analysis of MBMS and Wi-Fi Priority Policy in Heterogeneous Networks having a dispersed Single-cell MBMS (분산된 단일 셀 MBMS을 지원하는 이종 네트워크 환경에서 MBMS와 와이파이 사용자 우선 정책에 대한 성능 분석)

  • Jeong, Un Ho;Lee, Jung Moon;Kim, Gi Taek;Nam, Boo Hee;Kim, Dong Hoi
    • Journal of Broadcast Engineering
    • /
    • v.18 no.2
    • /
    • pp.215-224
    • /
    • 2013
  • With the rising popularity of smart-phones, the supply of Internet protocol television is largely increased and it causes the wireless communication network load to be increased. To overcome such an overloading problem, 3GPP is now working on the standardization of MBMS since LTE Release 6 specification. MBMS has good performance in bandwidth efficiency by sharing the same bandwidth with the mulitple MBMS users having the same content. According to the proposed algorithm, in heterogeneous networks having a dispersed Single-cell MBMS where 3GPP network and Wi-Fi network are mixed, if the number of MBMS users, who are belonging to cells supporting a dispersed Single-cell MBMS, is more than a specified threshold, the MBMS priority policy is operated. Otherwise, the Wi-Fi priority policy is executed. As the simulation results show both the increase of total available bandwidth ratio and the decrease of network usage cost, it is confirmed that the proposed scheme allows the network efficiency to be maximized.

The Design and Implementation of RISE for Managing a Large Scale Cluster in Distributed Environment (분산 환경의 대규모 클러스터를 관리하기 위한 RISE 시스템의 설계 및 구현)

  • Park Doo-Sik;Yang Woo-Jin;Ban Min-Ho;Jeong Karp-Joo;Lee Jong-Hyun;Lee Sang-Moon;Lee Chang-Sung;Shin Soon-Churl;Lee In-Ho
    • Journal of KIISE:Computer Systems and Theory
    • /
    • v.33 no.7
    • /
    • pp.421-428
    • /
    • 2006
  • In this paper, the way of remote installation and back-up of 3-tier structure is introduced for efficient utilizing the cluster system resources distributed at several places. Recently, cluster system is constructed as the system of over hundreds nodes under complex network system mixed with public networks and private networks. Therefore, the as installation method suitable for the large scale cluster system and the remote recovery of failure nodes are important. However the previous researches which are based on 2-tier architecture may not provide the efficient cluster installation and image back-up method when the network of cluster system is composed of several private networks and public networks. In this paper, RISE (Remote Installation Service and Environment) based on the 3-tier architecture is proposed to solve this problem. In our approach, the managing node's role is divided into the global master node (GRISE) and the local master node (LRISE) to provide the efficient initial system deployment and remote failure recovery of distributed cluster system under the various network systems. Also, LRISE's availability is ensured under the complex network environments by adopting the auto-synchronization mechanism between GRISE and LRISE. In this work, a 64-node cluster system with gigabit network system is utilized for the experiment. From the experimental result, the system image with 1.86GB data can be obtained in 5 minutes and 53 seconds and the image-based installation of 64-node system can be carried out in 17 minutes and 53 seconds.