Resource Type

Journal Article 382

Conference Videos 14

Conference Information 9

Conference Topics 1

Year

2023 42

2022 49

2021 46

2020 29

2019 22

2018 27

2017 23

2016 32

2015 14

2014 7

2013 7

2012 8

2011 8

2010 4

2009 2

2008 11

2007 9

2006 10

2005 14

2004 9

open ︾

Keywords

cyberspace security 5

Deep learning 4

cyberspace 4

5G 3

3D printing 2

Additive manufacturing 2

Artificial intelligence 2

Cognitive radio networks 2

Consensus 2

Game theory 2

Simultaneous wireless information and power transfer 2

Unsupervised domain adaptation 2

Wireless power transmission 2

application engineering 2

mortar 2

plasma 2

wireless sensor network 2

1 D stress-waves 1

2.3 μm 1

open ︾

Search scope:

排序： Display mode:

Pattern reconfigurable antenna array for 5.8 GHz WBAN applications

杨凌升,王斌,李雅洁

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1357-1365 doi: 10.1631/FITEE.2200542

Abstract: 本文提出一种适用于5.8 GHz WBAN应用的方向图可重构天线阵列。天线阵列由辐射组件和控制网络组件组成。辐射组件包括4个平面F型天线，它们位于上层的4个角上，彼此逆时针旋转90°。控制网络组件位于底层，包括一个4端口可控网络。通过控制集成在可控网络中的PIN二极管，可以获得与人体表面相切的全向辐射图和与人体表面垂直的定向辐射图。我们测量了阵列安装在人体或前臂假体上时的阻抗带宽、辐射模式和增益，实验结果与仿真结果一致。同时仿真了两种辐射模式下的电磁波吸收比值（SAR）和波束切换能力，以确保该阵列的实用性。

Keywords： 无线体域网     方向图可重构     PIN二极管     控制网络     比吸收率    

HTML Collect

The Design on the Security Architecture of Public WLAN Based on Access Controller Mode

Song Yubo, Huai qun, Yang Xiaohui

Strategic Study of CAE 2008, Volume 10, Issue 8,   Pages 56-59

Abstract:

The security problem, such as network security, user data protection, authentication, mobile management and network services are becoming more and more important in Public WLAN. This paper focuses on the design research of the PWLAN security architecture. A security model based on access controller is proposed in this paper. Furthermore, a compound 802.1x and WEB authentication scheme is provided to ensures cryptographically protected access while preserving pre-existing public WLAN payment models.

Keywords： public WLAN     security architecture     authentication     access controller    

HTML PDF Collect

Capacity of VoIP in IEEE 802.11 Wireless LAN

Chen Liquan,Hu Aiqun,Zhou Xueli

Strategic Study of CAE 2005, Volume 7, Issue 7,   Pages 81-85

Abstract:

Voice transmitted over wireless LAN faces serious challenge because of the fluctuation of the wireless channel. In this paper, the transmission of voice over wireless LAN is firstly analyzed. Taking collision probability into account, the stochastic analysis based on a Markov chain to calculate the upper bound number of simultaneous VoIP calls that can be supported in a single cell of an IEEE 802. llb/a/g network is proposed. The upper bound capacities of G. 711, G. 729 and G. 723.1 code transmitted over 802. llb/a/g are figured out. The simulation results from NS2 simulator have validated the analysis values.

Keywords： wireless LAN     voice over IP     capacity     Markov chain    

HTML PDF Collect

The Research and Implementation of WAPI Authentication on WLAN Access Point

Song Yubo,Yang Xiaohui,Hu Aiqun,Wang Zhili

Strategic Study of CAE 2005, Volume 7, Issue 9,   Pages 65-69

Abstract:

With the wireless LAN technologies being widely applied, new WLAN security standards have been proposed to enhance the WLAN security. In this paper, through discussing the technology characteristic and the basic framework of the WAPI standard, the detail of the application of the WAPI authentication procedure on the WLAN access point was given. Furthermore, the performance of the authentication procedure was discussed.

Keywords： WLAN     WAPI     test analysis    

HTML PDF Collect

The Research and Implementation of EAP - FAST Protocol in Public Wireless Local Area Network

Cao Ping,Pei Wenjiang

Strategic Study of CAE 2005, Volume 7, Issue 12,   Pages 78-82

Abstract:

Since the LEAP wireless authentication protocol is vulnerable to dictionary attacks, the flexible authentication via secure tunneling (EAP - FAST) was introduced by Cisco Corporation in 2004, which establishes a mutually authenticated protected tunnel to protect the authentication data. This friendly and easily deployable network access solution will be widely used in WLAN. The authors research and design this protocol in public wireless local area network, and implement the function of EAP - FAST peer, authenticator and FAST server in PWLAN integrate experimentation flat.

Keywords： public wireless local area network     port based network access control (802.1x)     flexible authentication via secure tunneling (EAP —FAST)    

HTML PDF Collect

New 3G System——Mobile Wireless Internet

Hou Ziqiang

Strategic Study of CAE 2002, Volume 4, Issue 7,   Pages 86-92

Abstract:

A New 3G broadband mobile wireless Internet has been proposed. New 3G system has some specifications of “Beyond IMT - 2000”，but using 3G frequency and inside 3G framework. Fixed telecommunication operator can cut down the cost of feature rich voice and mobile multimedia services, by using existing fixed broadband IP network infrastructure to deploy broadband mobile wireless Internet. This is opportunity for China to lead the trend of broadband mobile wireless Internet in the world.

Keywords： 3G mobile phone     mobile internet     broadband mobile wireless internet     WLAN     TD — LAS     mobile IP     Ipv6     IP core networks    

HTML PDF Collect

Pleckstrin Homology-Like Domain, Family A, Member 1 (PHLDA1): A Multifaceted Cell Survival Factor that Drives Metabolic Disease Review

Tamana Yousof, Jae Hyun Byun, Jack Chen, Richard C. Austin

Engineering 2023, Volume 20, Issue 1,   Pages 9-18 doi: 10.1016/j.eng.2022.05.014

Abstract:

Pleckstrin homology-like domain, family A, member 1 (PHLDA1) is a multifaceted intracellular protein belonging to the evolutionarily conserved pleckstrin homology-related domain family. Its murine homologue, T-cell death-associated 51 (TDAG51) gene, was initially discovered for its role in activation-induced apoptosis in T-cell hybridomas. In recent years, PHLDA1 has received increased attention due to its association with obesity, fatty liver disease, diabetes, atherosclerosis, and cancer. Accumulating evidence also supports its role in endoplasmic reticulum stress signaling pathways as a crucial mediator of apoptosis, autophagy, and cell proliferation. In this review, the current knowledge of PHLDA1 gene and protein regulation, localization, and function is summarized. This review highlights the pro- and anti-apoptotic roles of PHLDA1 that contribute to vast array of metabolic diseases.

Keywords： ER-stress     Metabolism     Apoptosis     Cell survival     PHLDA1    

HTML PDF Collect

The research of connectivity-credibility restricted clustering algorithm in wireless sensor networks

Yu Jiming,Sun Yamin,Lei Yanjing,Yang Yuwang

Strategic Study of CAE 2010, Volume 12, Issue 9,   Pages 73-77

Abstract:

This paper proposed a speeding clustering algorithm of connectivity-credibility constrained random dispose which based on some other clustering algorithms. Simulation shows that this algorithm can get large cover of clustering, logical distributing and good stability. Comparing to the lowerst-ID clustering and highest-connectivity clustering algorithm, the algorithm can get less number of cluster-heads, more logical clustering, good communication between nodes and cluster-heads, steady networks, reduce communication cost of rebuilding, and can balance network's energy consume, prolong the networks life.

Keywords： wireless sensor networks     connectivity-credibility     clustering algorithm    

HTML PDF Collect

Dual collaboration for decentralized multi-source domain adaptation Research Article

Yikang WEI, Yahong HAN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1780-1794 doi: 10.1631/FITEE.2200284

Abstract: The goal of decentralized is to conduct unsupervised in a scenario. The challenge of is that the source domains and target domain lack cross-domain collaboration during training. On the unlabeled target domain, the target model needs to transfer supervision knowledge with the collaboration of source models, while the domain gap will lead to limited adaptation performance from source models. On the labeled source domain, the source model tends to overfit its domain data in the scenario, which leads to the problem. For these challenges, we propose dual collaboration for decentralized by training and aggregating the local source models and local target model in collaboration with each other. On the target domain, we train the local target model by distilling supervision knowledge and fully using the unlabeled target domain data to alleviate the problem with the collaboration of local source models. On the source domain, we regularize the local source models in collaboration with the local target model to overcome the problem. This forms a dual collaboration between the decentralized source domains and target domain, which improves the domain adaptation performance under the scenario. Extensive experiments indicate that our method outperforms the state-of-the-art methods by a large margin on standard datasets.

Keywords： Multi-source domain adaptation     Data decentralization     Domain shift     Negative transfer    

HTML PDF Collect

Multi-agent deep reinforcement learning for end–edge orchestrated resource allocation in industrial wireless networks Research Article

Xiaoyu LIU, Chi XU, Haibin YU, Peng ZENG,liuxiaoyu1@sia.cn,xuchi@sia.cn,yhb@sia.cn,zp@sia.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 1,   Pages 47-60 doi: 10.1631/FITEE.2100331

Abstract: Edge artificial intelligence will empower the ever simple (IWNs) supporting complex and dynamic tasks by collaboratively exploiting the computation and communication resources of both machine-type devices (MTDs) and edge servers. In this paper, we propose a based resource allocation (MADRL-RA) algorithm for IWNs to support computation-intensive and -sensitive applications. First, we present the system model of IWNs, wherein each MTD is regarded as a self-learning agent. Then, we apply the Markov decision process to formulate a minimum system overhead problem with joint optimization of and . Next, we employ MADRL to defeat the explosive state space and learn an effective resource allocation policy with respect to computing decision, computation capacity, and transmission power. To break the time correlation of training data while accelerating the learning process of MADRL-RA, we design a weighted experience replay to store and sample experiences categorically. Furthermore, we propose a step-by-step -greedy method to balance exploitation and exploration. Finally, we verify the effectiveness of MADRL-RA by comparing it with some benchmark algorithms in many experiments, showing that MADRL-RA converges quickly and learns an effective resource allocation policy achieving the minimum system overhead.

Keywords： Multi-agent deep reinforcement learning     End–edge orchestrated     Industrial wireless networks     Delay     Energy consumption    

HTML PDF Collect

Polarizationmultiplexing based duplex radio-over-fiber link for millimeterwave signal transmission to a ring of multiple radio access units None

Tayyab MEHMOOD, Hina QAYYUM, Salman GHAFOOR

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 300-306 doi: 10.1631/FITEE.1700056

Abstract:

A radio-over-fiber (RoF) distributed antenna system (DAS) architecture is proposed, where millimeter wave (mm-wave) signals are transmitted to four different radio access units (RAUs) arranged in a ring topology. The proposed architecture transmits duplex data of 128 Mb/s to each RAU in both downlink (DL) and uplink (UL) directions. The radio frequency (RF) signals are transmitted by polarization multiplexing a multi-wavelength source. Millimeter-wave signals at a frequency of 25 GHz are generated at each RAU using remote heterodyne detection. The proposed architecture provides increased coverage while maintaining good bit error rate (BER) results.

Keywords： Radio over fiber     Millimeter wave     Radio access units    

HTML PDF Collect

Dynamic parameterized learning for unsupervised domain adaptation Research Article

Runhua JIANG, Yahong HAN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1616-1632 doi: 10.1631/FITEE.2200631

Abstract: enables neural networks to transfer from a labeled source domain to an unlabeled target domain by learning domain-invariant representations. Recent approaches achieve this by directly matching the marginal distributions of these two domains. Most of them, however, ignore exploration of the dynamic trade-off between and learning, thus rendering them susceptible to the problems of negative transfer and outlier samples. To address these issues, we introduce the dynamic parameterized learning framework. First, by exploring domain-level semantic knowledge, the dynamic alignment parameter is proposed, to adaptively adjust the of and learning. Besides, for obtaining semantic-discriminative and domain-invariant representations, we propose to align training trajectories on both source and target domains. Comprehensive experiments are conducted to validate the effectiveness of the proposed methods, and extensive comparisons are conducted on seven datasets of three visual tasks to demonstrate their practicability.

Keywords： Unsupervised domain adaptation     Optimization steps     Domain alignment     Semantic discrimination    

HTML PDF Collect

Determination and Division of Radiative Color Gamut in Primary-Color Method for Temperature Measurement

Wang Anquan,Cheng Xiaofang,Lu Shaosong

Strategic Study of CAE 2002, Volume 4, Issue 8,   Pages 54-57

Abstract:

The principle of primary-color method for temperature measurement is firstly introduced in this article. Based on the lineal model of spectral emissivity in the range of visible spectrum, the formulation of radiative chrominance of real bodies is put forward. Afterwards, it's made clear that two temperature solutions can be derived from one specific chrominance at most. The radiative color gamut is determined and divided into two components, the single-solution gamut and the dual-solution gamut.

Keywords： temperature measurement     primary-color method     color gamut     emissivity    

HTML PDF Collect

Theoretical Study of Color Gamut of Higher Plant Leaves

Cheng Xiaofang,Dong Jinyi,Fan Xueliang,Ding Jinlei

Strategic Study of CAE 2006, Volume 8, Issue 12,   Pages 66-69

Abstract:

The chlorophylls and cartotenoids are the main pigments in leaves of the higher plants, which giveing the color of leaves. Based on the CIE1931 chromaticity coordinates of the chlorophylls and cartotenoids obtained from their classical absorption spectrum and the law of additive color mixing, the theoretical color gamut of higher plant leaves is determined. The theoretical prediction agrees well with the experimental results.

Keywords： higher plant     pigment     absorption spectra     chromaticity coordinate     color gamut    

HTML PDF Collect

Layer-wise domain correction for unsupervised domain adaptation Article

Shuang LI, Shi-ji SONG, Cheng WU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 91-103 doi: 10.1631/FITEE.1700774

Abstract: Deep neural networks have been successfully applied to numerous machine learning tasks because of their impressive feature abstraction capabilities. However, conventional deep networks assume that the training and test data are sampled from the same distribution, and this assumption is often violated in real-world scenarios. To address the domain shift or data bias problems, we introduce layer-wise domain correction (LDC), a new unsupervised domain adaptation algorithm which adapts an existing deep network through additive correction layers spaced throughout the network. Through the additive layers, the representations of source and target domains can be perfectly aligned. The corrections that are trained via maximum mean discrepancy, adapt to the target domain while increasing the representational capacity of the network. LDC requires no target labels, achieves state-of-the-art performance across several adaptation benchmarks, and requires significantly less training time than existing adaptation methods.

Keywords： Unsupervised domain adaptation     Maximum mean discrepancy     Residual network     Deep learning    

HTML PDF Collect

Title Author Date Type Operation

Pattern reconfigurable antenna array for 5.8 GHz WBAN applications

杨凌升,王斌,李雅洁

Journal Article

The Design on the Security Architecture of Public WLAN Based on Access Controller Mode

Song Yubo, Huai qun, Yang Xiaohui

Journal Article

Capacity of VoIP in IEEE 802.11 Wireless LAN

Chen Liquan,Hu Aiqun,Zhou Xueli

Journal Article

The Research and Implementation of WAPI Authentication on WLAN Access Point

Song Yubo,Yang Xiaohui,Hu Aiqun,Wang Zhili

Journal Article

The Research and Implementation of EAP - FAST Protocol in Public Wireless Local Area Network

Cao Ping,Pei Wenjiang

Journal Article

New 3G System——Mobile Wireless Internet

Hou Ziqiang

Journal Article

Pleckstrin Homology-Like Domain, Family A, Member 1 (PHLDA1): A Multifaceted Cell Survival Factor that Drives Metabolic Disease

Tamana Yousof, Jae Hyun Byun, Jack Chen, Richard C. Austin

Journal Article

The research of connectivity-credibility restricted clustering algorithm in wireless sensor networks

Yu Jiming,Sun Yamin,Lei Yanjing,Yang Yuwang

Journal Article

Dual collaboration for decentralized multi-source domain adaptation

Yikang WEI, Yahong HAN

Journal Article

Multi-agent deep reinforcement learning for end–edge orchestrated resource allocation in industrial wireless networks

Xiaoyu LIU, Chi XU, Haibin YU, Peng ZENG,liuxiaoyu1@sia.cn,xuchi@sia.cn,yhb@sia.cn,zp@sia.cn

Journal Article

Polarizationmultiplexing based duplex radio-over-fiber link for millimeterwave signal transmission to a ring of multiple radio access units

Tayyab MEHMOOD, Hina QAYYUM, Salman GHAFOOR

Journal Article

Dynamic parameterized learning for unsupervised domain adaptation

Runhua JIANG, Yahong HAN

Journal Article

Determination and Division of Radiative Color Gamut in Primary-Color Method for Temperature Measurement

Wang Anquan,Cheng Xiaofang,Lu Shaosong

Journal Article

Theoretical Study of Color Gamut of Higher Plant Leaves

Cheng Xiaofang,Dong Jinyi,Fan Xueliang,Ding Jinlei

Journal Article

Layer-wise domain correction for unsupervised domain adaptation

Shuang LI, Shi-ji SONG, Cheng WU

Journal Article