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FAAD: an unsupervised fast and accurate anomaly detectionmethod for amulti-dimensional sequence over Regular Papers

Bin LI, Yi-jie WANG, Dong-sheng YANG, Yong-mou LI, Xing-kong MA

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 3,   Pages 388-404 doi: 10.1631/FITEE.1800038

Abstract: Sequence data in these fields are usually multi-dimensional over the data stream.It is a challenge to design an anomaly detection method for a multi-dimensional sequence over the dataOn the other hand, some studies concerning multi-dimensional sequence concentrate mainly on the staticTo improve the performance of anomaly detection for a multi-dimensional sequence over the data streamFAAD is implemented on the streaming platform Storm to detect multi-dimensional log audit data.

Keywords： Data stream     Multi-dimensional sequence     Anomaly detection     Concept drift     Feature selection    

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Dynamic user-centric multi-dimensional resource allocation for a wide-area coverage signaling cell based Research Article

Zhou TONG, Na LI, Huimin ZHANG, Quan ZHAO, Yun ZHAO, Junshuai SUN, Guangyi LIU,tongzhou@chinamobile.com,linawx@chinamobile.com,zhanghuiminyjy@chinamobile.com

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 1,   Pages 154-163 doi: 10.1631/FITEE.2200220

Abstract: The rapid development of communications industry has spawned more new services and applications. The sixth-generation wireless communication system () network is faced with more stringent and diverse requirements. While ensuring performance requirements, such as high data rate and low latency, the problem of high energy consumption in the fifth-generation wireless communication system (5G) network has also become one of the problems to be solved in . The technology conforms to the future development trend of radio access networks, and has the advantages of reducing network energy consumption and improving resource utilization. In s, on-demand is an important technical means to ensure the ultimate performance requirements of users, and its effect will affect the efficiency of network resource utilization. This paper constructs a user-centric dynamic allocation model of wireless resources, and proposes a deep Q-network based dynamic resource allocation algorithm. The algorithm can realize dynamic and flexible admission control and in s according to the data rate and latency demands of users. According to the simulation results, the proposed algorithm can effectively improve the average user experience on a long time scale, and ensure network users a high data rate and low energy consumption.

Keywords： 6G     Wide-area coverage signaling cell     Multi-dimensional resource allocation     Deep Q-network (DQN)    

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Multi-dimensional optimization for approximate near-threshold computing

Jing Wang, Wei-wei Liang, Yue-hua Niu, Lan Gao, Wei-gong Zhang,jwang@cnu.edu.cn,zwg771@cnu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 10,   Pages 1413-1534 doi: 10.1631/FITEE.2000089

Abstract: main purpose of research on computer architecture has therefore shifted from improvement to complex multi-objectiveIn this paper, we propose a three-dimensional optimization approach which can effectively identify the
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Design and implementation of a novel enterprise network defense system bymaneuveringmulti-dimensional None

Yang CHEN, Hong-chao HU, Guo-zhen CHENG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 238-252 doi: 10.1631/FITEE.1800516

Abstract:

Although the perimeter security model works well enough when all internal hosts are credible, it is becoming increasingly difficult to enforce as companies adopt mobile and cloud technologies, i.e., the rise of bring your own device (BYOD). It is observed that advanced targeted cyber-attacks usually follow a cyber kill chain; for instance, advanced targeted attacks often rely on network scanning techniques to gather information about potential targets. In response to this attack method, we propose a novel approach, i.e., an “isolating and dynamic” cyber defense, which cuts these potential chains to reduce the cumulative availability of the gathered information. First, we build a zero-trust network environment through network isolation, and then multiple network properties are maneuvered so that the host characteristics and locations needed to identify vulnerabilities cannot be located. Second, we propose a software-defined proactive cyber defense solution (SPD) for enterprise networks and design a general framework to strategically maneuver the IP address, network port, domain name, and path, while limiting the performance impact on the benign network user. Third, we implement our SPD proof-of-concept system over a software-defined network controller (OpenDaylight). Finally, we build an experimental platform to verify the system’s ability to prevent scanning, eavesdropping, and denial-of-service attacks. The results suggest that our system can significantly reduce the availability of network reconnaissance scan information, block network eavesdropping, and sharply increase the cost of cyber-attacks.

Keywords： Intranet defense     Software-defined network     Multi-dimensional maneuvering    

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Emerging theories and technologies on computationalimaging Review

Xue-mei HU, Jia-min WU, Jin-li SUO, Qiong-hai DAI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9,   Pages 1207-1221 doi: 10.1631/FITEE.1700211

Abstract: Computational imaging describes the whole imaging process fromthe perspective of light transport and information transmission, featurestraditional optical computing capabilities, and assists in breakingthrough the limitations of visual information recording. Progressin computational imaging promotes the development of diverse basicand applied disciplines. In this review, we provide an overview ofthe fundamental principles and methods in computational imaging, thehistory of this field, and the important roles that it plays in thedevelopment of science. We review the most recent and promising advancesin computational imaging, from the perspective of different dimensionsof visual signals, including spatial dimension, temporal dimension,angular dimension, spectral dimension, and phase. We also discusssome topics worth studying for future developments in computationalimaging.

Keywords： Computational imaging     Multi-scale and multi-dimensional     Super-resolution     Femto-photography     3D reconstruction    

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Scaled boundary finite element method with exact defining curves for two-dimensional linear multi-field

Jaroon RUNGAMORNRAT, Chung Nguyen VAN

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 201-214 doi: 10.1007/s11709-018-0488-0

Abstract: accurate numerical technique based upon the scaled boundary finite element method for the analysis of two-dimensionalboundary finite element formulation is established in a general framework allowing single-field and multi-field

Keywords： multi-field problems     defining curve     exact geometry     general boundary conditions     SBFEM    

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Two-dimensional Controllable Cellular Automata BasedPseudo Random Bit Sequence Generator

Zhu Baoping,Ma Qian,Liu Fengyu

Strategic Study of CAE 2007, Volume 9, Issue 6,   Pages 43-47

Abstract:

A novel cellular automata (CA) — two-dimensional controllable CA According to characteristics of two-dimensional controllable CA,  a pseudo random generatingmethod based on two-dimensional controllable CA with a trapezoidal structure is presented. Simulation demonstrates that pseudo random bit sequence generator based on the two-dimensionalcontrollable CA with a trapezoidal structure is easily implemented,  and can generate high speed bit sequence

Keywords： cellular automata     pseudorandom number generators     controllable     cryptography    

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Ant colony optimization for assembly sequence planning based on parameters optimization

Zunpu HAN, Yong WANG, De TIAN

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 393-409 doi: 10.1007/s11465-020-0613-3

Abstract: As an important part of product design and manufacturing, assembly sequence planning (ASP) has a considerabletypical NP-complete problem that requires effective methods to find the optimal or near-optimal assembly sequenceThe assembly constraints and rules guarantee to obtain a reasonable assembly sequence.SOS) and ant colony optimization (ACO) is proposed to calculate the optimal or near-optimal assembly sequenceSOS-ACO is also robust in identifying the best assembly sequence in nearly every experiment.

Keywords： assembly sequence planning     ant colony optimization     symbiotic organisms search     parameter optimization    

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Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 340-352 doi: 10.1007/s11465-021-0629-3

Abstract: methods cannot fully extract fault information to recognize mechanical health states when processing high-dimensionalTherefore, a multi-model ensemble deep learning method based on deep convolutional neural network (DCNN) is proposed in this study to accomplish fault recognition of high-dimensional samples.functions are trained through dimension reduction learning to obtain different fault features from high-dimensionalLastly, a 2D DCNN model with multi-layer convolution and pooling is used to automatically learn features

Keywords： fault intelligent diagnosis     deep learning     deep convolutional neural network     high-dimensional samples    

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The research of grey clustering decision of assembly sequence based on petri net

Mo Qian,Luo Yi

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 65-68

Abstract: according to the intuitionistic graphics mode characteristics of petri net, and gets feasible assembly sequenceMost of factors influencing assembly sequence are certainly qualitative, fuzzy, non-numerical, assemblysequence is regarded as a gray system, and grey clustering decision method is adopted to evaluate feasibleassembly sequence.

Keywords： assembly sequence     petri net     grey clustering decision method    

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Analysis of dispatching rules in a stochastic dynamic job shop manufacturing system with sequence-dependent

Pankaj SHARMA,Ajai JAIN

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 380-389 doi: 10.1007/s11465-014-0315-9

Abstract:

Stochastic dynamic job shop scheduling problem with consideration of sequence-dependent setup times

Keywords： scheduling     stochastic dynamic job shop     sequence-dependent setup times     dispatching rule     simulation    

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Transforming bacterial disease surveillance and investigation using whole-genome sequence to probe the

Biao Kan, Haijian Zhou, Pengcheng Du, Wen Zhang, Xin Lu, Tian Qin, Jianguo Xu

Frontiers of Medicine 2018, Volume 12, Issue 1,   Pages 23-33 doi: 10.1007/s11684-017-0607-7

Abstract:

Two decades have passed since the first bacterial whole-genome sequencing, which provides new opportunity for microbial genome. Consequently, considerable genetic diversity encoded by bacterial genomes and among the strains in the same species has been revealed. In recent years, genome sequencing techniques and bioinformatics have developed rapidly, which has resulted in transformation and expedited the application of strategy and methodology for bacterial genome comparison used in dissection of infectious disease epidemics. Bacterial whole-genome sequencing and bioinformatic computing allow genotyping to satisfy the requirements of epidemiological study in disease control. In this review, we outline the significance and summarize the roles of bacterial genome sequencing in the context of bacterial disease control and prevention. We discuss the applications of bacterial genome sequencing in outbreak detection, source tracing, transmission mode discovery, and new epidemic clone identification. Wide applications of genome sequencing and data sharing in infectious disease surveillance networks will considerably promote outbreak detection and early warning to prevent the dissemination of bacterial diseases.

Keywords： genome sequencing     genomic epidemiology     bacteria     surveillance     infectious diseases    

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Competitive binary multi-objective grey wolf optimizer for fast compact antenna topology optimization Research Article

Jian DONG, Xia YUAN, Meng WANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 9,   Pages 1390-1406 doi: 10.1631/FITEE.2100420

Abstract: We propose a competitive binary (CBMOGWO) to reduce the heavy computational burden of conventional multi-objectiveThen, the optimization performance of CBMOGWO is verified on 12 standard multi-objective test problems(MOTPs) and four multi-objective knapsack problems (MOKPs) by comparison with the original BMOGWO andthe traditional binary multi-objective particle swarm optimization (BMOPSO).example of a compact high-isolation dual-band multiple-input multiple-output (MIMO) antenna with high-dimensional

Keywords： Antenna topology optimization     Multi-objective grey wolf optimizer     High-dimensional mixed variables    

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A novel sequence batch membrane carbonation photobioreactor developed for microalgae cultivation

Caiyun Hou, Sen Qiao, Yue Yang, Jiti Zhou

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 6, doi: 10.1007/s11783-019-1176-6

Abstract: In this study, a novel sequence batch membrane carbonation photobioreactor was developed for microalgae

Keywords： Membrane carbonation     SBM-C-PBR     Cultivate microalgae     Membrane fouling    

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Experimental Study on the Damage Effect of Projectile Explosive in Multi-layer Medium

Zhou Ning,Ren Huiqi,Shen Zhaowu,Liu Ruichao

Strategic Study of CAE 2006, Volume 8, Issue 8,   Pages 56-60

Abstract:

Based on the shape，volume and area of dent in multi-layered target created by kinetic projectile explosiveThe damage zoning was founded in multi-layered target.

Keywords： mechanics of explosion     multi-layer medium     dimensional analysis     damage zoning    

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Title Author Date Type Operation

FAAD: an unsupervised fast and accurate anomaly detectionmethod for amulti-dimensional sequence over

Bin LI, Yi-jie WANG, Dong-sheng YANG, Yong-mou LI, Xing-kong MA

Journal Article

Dynamic user-centric multi-dimensional resource allocation for a wide-area coverage signaling cell based

Zhou TONG, Na LI, Huimin ZHANG, Quan ZHAO, Yun ZHAO, Junshuai SUN, Guangyi LIU,tongzhou@chinamobile.com,linawx@chinamobile.com,zhanghuiminyjy@chinamobile.com

Journal Article

Multi-dimensional optimization for approximate near-threshold computing

Jing Wang, Wei-wei Liang, Yue-hua Niu, Lan Gao, Wei-gong Zhang,jwang@cnu.edu.cn,zwg771@cnu.edu.cn

Journal Article

Design and implementation of a novel enterprise network defense system bymaneuveringmulti-dimensional

Yang CHEN, Hong-chao HU, Guo-zhen CHENG

Journal Article

Emerging theories and technologies on computationalimaging

Xue-mei HU, Jia-min WU, Jin-li SUO, Qiong-hai DAI

Journal Article

Scaled boundary finite element method with exact defining curves for two-dimensional linear multi-field

Jaroon RUNGAMORNRAT, Chung Nguyen VAN

Journal Article

Two-dimensional Controllable Cellular Automata BasedPseudo Random Bit Sequence Generator

Zhu Baoping,Ma Qian,Liu Fengyu

Journal Article

Ant colony optimization for assembly sequence planning based on parameters optimization

Zunpu HAN, Yong WANG, De TIAN

Journal Article

Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Journal Article

The research of grey clustering decision of assembly sequence based on petri net

Mo Qian,Luo Yi

Journal Article

Analysis of dispatching rules in a stochastic dynamic job shop manufacturing system with sequence-dependent

Pankaj SHARMA,Ajai JAIN

Journal Article

Transforming bacterial disease surveillance and investigation using whole-genome sequence to probe the

Biao Kan, Haijian Zhou, Pengcheng Du, Wen Zhang, Xin Lu, Tian Qin, Jianguo Xu

Journal Article

Competitive binary multi-objective grey wolf optimizer for fast compact antenna topology optimization

Jian DONG, Xia YUAN, Meng WANG

Journal Article

A novel sequence batch membrane carbonation photobioreactor developed for microalgae cultivation

Caiyun Hou, Sen Qiao, Yue Yang, Jiti Zhou

Journal Article

Experimental Study on the Damage Effect of Projectile Explosive in Multi-layer Medium

Zhou Ning,Ren Huiqi,Shen Zhaowu,Liu Ruichao

Journal Article