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Infrared Spectra and Electrical Conductivity of The Solid Solutions X MgO + (1-X) ${\alpha}-Nb_2$ $O_5$; 0.01{\leq}X{\leq}0.09

  • Park Zin;Park, Jong Sik;Lee Dong Hoon;Jun Jong Ho;Yo Chul Hyun;Kim Keu Hong
    • Bulletin of the Korean Chemical Society
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    • v.13 no.2
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    • pp.127-131
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    • 1992
  • Changes in network structures of ${\alpha}-Nb_2O_5$ in the X MgO+(1-X) ${\alpha}-Nb_2O_5$ solid solutions occurring as the MgO doping level (X) was varied were investigated by means of infrared spectroscopy and X-ray analysis. X-ray diffraction revealed that all the synthesized specimens have the monoclinic structure. The FT-IR spectroscopy showed that the system investigated forms the solid solutions in which $Mg^{2+}$ ions occupy the octahedral sites in parent crystal lattice. Electrical conductivities were measured as a function of temperature from 600 to $1050{\circ}$ and $P_{O2}$ form $1{\times}10^{-5}$ to $2{\times}10^{-1}$ atm. The defect structure and conduction mechanism were deduced from the results. The $1}n$ value in ${\alpha}{\propto}{P_{O2}^{1}n}}$ is found to be -1/4 with single possible defect model. From the activation energy ($E{\alpha}$ = 1.67-1.73 eV) and the1/n value, electronic conduction mechanism is suggested with a doubly charged oxygen vacancy.

Evaluation of Classification and Accuracy in Chest X-ray Images using Deep Learning with Convolution Neural Network (컨볼루션 뉴럴 네트워크 기반의 딥러닝을 이용한 흉부 X-ray 영상의 분류 및 정확도 평가)

  • Song, Ho-Jun;Lee, Eun-Byeol;Jo, Heung-Joon;Park, Se-Young;Kim, So-Young;Kim, Hyeon-Jeong;Hong, Joo-Wan
    • Journal of the Korean Society of Radiology
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    • v.14 no.1
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    • pp.39-44
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    • 2020
  • The purpose of this study was learning about chest X-ray image classification and accuracy research through Deep Learning using big data technology with Convolution Neural Network. Normal 1,583 and Pneumonia 4,289 were used in chest X-ray images. The data were classified as train (88.8%), validation (0.2%) and test (11%). Constructed as Convolution Layer, Max pooling layer size 2×2, Flatten layer, and Image Data Generator. The number of filters, filter size, drop out, epoch, batch size, and loss function values were set when the Convolution layer were 3 and 4 respectively. The test data verification results showed that the predicted accuracy was 94.67% when the number of filters was 64-128-128-128, filter size 3×3, drop out 0.25, epoch 5, batch size 15, and loss function RMSprop was 4. In this study, the classification of chest X-ray Normal and Pneumonia was predictable with high accuracy, and it is believed to be of great help not only to chest X-ray images but also to other medical images.

A comparative study on keypoint detection for developmental dysplasia of hip diagnosis using deep learning models in X-ray and ultrasound images (X-ray 및 초음파 영상을 활용한 고관절 이형성증 진단을 위한 특징점 검출 딥러닝 모델 비교 연구)

  • Sung-Hyun Kim;Kyungsu Lee;Si-Wook Lee;Jin Ho Chang;Jae Youn Hwang;Jihun Kim
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.5
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    • pp.460-468
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    • 2023
  • Developmental Dysplasia of the Hip (DDH) is a pathological condition commonly occurring during the growth phase of infants. It acts as one of the factors that can disrupt an infant's growth and trigger potential complications. Therefore, it is critically important to detect and treat this condition early. The traditional diagnostic methods for DDH involve palpation techniques and diagnosis methods based on the detection of keypoints in the hip joint using X-ray or ultrasound imaging. However, there exist limitations in objectivity and productivity during keypoint detection in the hip joint. This study proposes a deep learning model-based keypoint detection method using X-ray and ultrasound imaging and analyzes the performance of keypoint detection using various deep learning models. Additionally, the study introduces and evaluates various data augmentation techniques to compensate the lack of medical data. This research demonstrated the highest keypoint detection performance when applying the residual network 152 (ResNet152) model with simple & complex augmentation techniques, with average Object Keypoint Similarity (OKS) of approximately 95.33 % and 81.21 % in X-ray and ultrasound images, respectively. These results demonstrate that the application of deep learning models to ultrasound and X-ray images to detect the keypoints in the hip joint could enhance the objectivity and productivity in DDH diagnosis.

An Authentication Interworking Mechanism between Multiple Wireless LANs for Sharing the Network Infrastructure (망 인프라 공유를 위한 무선랜 시스템들간의 상호 인증 연동 방법)

  • Lee Wan Yeon
    • The KIPS Transactions:PartA
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    • v.11A no.6
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    • pp.451-458
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    • 2004
  • The previous studies focussed on the security problem and the fast re-authentication mechanism during handoffs in a single wireless LAN system. When the multiple wireless LAN systems share their network infrastructure one another, we propose an authentication mechanism allowing the subscriber to Perform the authentication procedure with the authentication server of its own wireless LAN system even in areas of other wireless LAN systems as well as in areas of its own wireless LAN system. In the proposed mechanism, the access point or the authentication server of other wireless LAN systems plays a role of the authentication agent between the subscriber and the authentication server of the subscriber's wireless LAN system. The proposed authentication mechanism is designed on the basis of the 802.1X and EAP-MD5 protocols.

Structural Investigation of Infrared Transmitting $PbO-Bi_2O_3-Ga_2O_3$ Glasses by X-ray Photoelectron Spectroscopy (X-선 광전자 분광법(XPS)을 이용한 $PbO-Bi_2O_3-Ga_2O_3$계 적외선 투과 유리의 구조해석)

  • Heo, Jong;Kim, Choon-Gon;Kim, You-Song
    • Journal of the Korean Ceramic Society
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    • v.30 no.11
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    • pp.911-918
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    • 1993
  • X-ray photoelectron spectroscopy(XPS) has been empolyed to investigate the structure of PbO-Bi2O3-Ga2O3 glasses. XPS OIS spectra recorded from binary PbO-Ga2O3 glasses clearly showed the presence of two peacks due to bridging and non-bridging oxygens, respectively. Gaussin best-fit deconvolution of the OIS peaks suggested there are substaintial amount of non-bridging oxygens in the structure. Therefore, in addition to the glassforming and charge compensating roles of PbO as suggested from the previous works, role of PbO as network modifiers needs to be considered. Addition of Bi2O3 to binary glasses resulted in the rapid decrease in the amount of non-bridging oxygens as well as in values of FWHM (Full Width at the Half Maximum intensity). It is believed that Bi2O3 form distorted BiO6 octahedra and therefore, work as intermediates. Infrared spectra also suggested that Ga2O3 behave as network-formers in the form of GaO4- tetrahedra.

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Structural, Optical, and Chemical Properties of Cadmium Phosphate Glasses

  • Chung, Jae-Yeop;Kim, Jong-Hwan;Choi, Su-Yeon;Park, Hyun-Joon;Hwang, Moon-Kyung;Jeong, Yoon-Ki;Ryu, Bong-Ki
    • Journal of the Korean Ceramic Society
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    • v.52 no.2
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    • pp.128-132
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    • 2015
  • In this study, we prepared cadmium phosphate glasses with various compositions, given by $xCdO-(100-x)P_2O_5$ (x = 10-55 mol%), and analyzed their Fourier transform infrared spectra, dissolution rate, thermal expansion coefficient, glass transition temperature, glass softening temperature, and optical band gap. We found that the thermal expansion coefficient and dissolution rate increased while the glass transition temperature and glass softening temperature decreased with increasing CdO content. These results suggest that CdO acts as a network modifier in binary phosphate glass and weakens its structure.

Capacity Analysis of UWB Networks in Three-Dimensional Space

  • Cai, Lin X.;Cai, Lin;Shen, Xuemin;Mark, Jon W.
    • Journal of Communications and Networks
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    • v.11 no.3
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    • pp.287-296
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    • 2009
  • Although asymptotic bounds of wireless network capacity have been heavily pursued, the answers to the following questions are still critical for network planning, protocol and architecture design: Given a three-dimensional (3D) network space with the number of active users randomly located in the space and using the wireless communication technology, what are the expected per-flow throughput, network capacity, and network transport capacity? In addition, how can the protocol parameters be tuned to enhance network performance? In this paper, we focus on the ultra wideband (UWB) based wireless personal area networks (WPANs) and provide answers to these questions, considering the salient features of UWB communications, i.e., low transmission/interference power level, accurate ranging capability, etc. Specifically, we demonstrate how to explore the spatial multiplexing gain of UWB networks by allowing appropriate concurrent transmissions. Given 3D space and the number of active users, we derive the expected number of concurrent transmissions, network capacity and transport capacity of the UWB network. The results reveal the main factors affecting network (transport) capacity, and how to determine the best protocol parameters, e.g., exclusive region size, in order to maximize the capacity. Extensive simulation results are given to validate the analytical results.

Simulation of PO method based on Multi-thread (멀티스레드 기반 PO법 시뮬레이션)

  • Kim, Tae-Yong;Lee, Hoon-Jae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.11
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    • pp.2301-2306
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    • 2011
  • Current general-purpose electromagnetic field simulators have been widespread applied, and is being used to electromagnetic problems such as antenna design, EMC design, measurement, and microwave device design, etc. This paper is to solve various electromagnetic problems in X-band region for utilizing multi-core-based PC available network resources more efficiently. The electromagnetic field simulator based on TCP / IP-based network topology, configuration, and its framework design is proposed and its availability is examined.

Efficient offering Service Creation Experience Environment for Open Service (개방형 서비스 생성 체험 환경 제공 방법)

  • Chung, Seung-Hwa;Kim, Sang-Ki
    • Proceedings of the IEEK Conference
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    • 2005.11a
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    • pp.43-46
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    • 2005
  • 오늘날의 개발자들은 서비스를 생성함에 있어서 몇번의 클릭만으로도 간단하게 서비스를 개발할 수 있는 환경을 갖추었다. 이는 서비스를 개발하는 환경이 사용자가 최소한의 지식만을 가지고 개발 할 수 있도록 자동화 되어가고 있기 때문이다. 개방형 서비스에 있어서도 기존의 Parlay 를 단순화한 Parlay X 가 탄생하였고, 더 나아가 Parlay X 의 API 들을 개발자들이 쉽게 사용할 수 있게 해주는 SCE(Service Creation Environment)툴이 개발되게 되었다. 개발자를 위한 환경의 변화에 발 맞추어, SCE 의 범위는 더욱 넓어 졌다. 기존의 기능을 쉽게 사용할 수 있게 해주는 좁은 의미의 SCE 에서 서비스 생성 도구들을 사용자가 잘 이해하고 사용할 수 있도록 하는 방법도 중요한 이슈가 된 것이다. 본 논문에서는 통신망 응용 서비스에 대한 전문적인 지식이 없는 서비스 생성 도구 사용자가 개방형 서비스를 생성함에 있어서 어떠한 순서와 방법을 적용하면 효과적으로 서비스 생성을 체험할 수 있는지를 제안한다.

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Structure-based Functional Discovery of Proteins: Structural Proteomics

  • Jung, Jin-Won;Lee, Weon-Tae
    • BMB Reports
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    • v.37 no.1
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    • pp.28-34
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    • 2004
  • The discovery of biochemical and cellular functions of unannotated gene products begins with a database search of proteins with structure/sequence homologues based on known genes. Very recently, a number of frontier groups in structural biology proposed a new paradigm to predict biological functions of an unknown protein on the basis of its three-dimensional structure on a genomic scale. Structural proteomics (genomics), a research area for structure-based functional discovery, aims to complete the protein-folding universe of all gene products in a cell. It would lead us to a complete understanding of a living organism from protein structure. Two major complementary experimental techniques, X-ray crystallography and NMR spectroscopy, combined with recently developed high throughput methods have played a central role in structural proteomics research; however, an integration of these methodologies together with comparative modeling and electron microscopy would speed up the goal for completing a full dictionary of protein folding space in the near future.