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Dynamic analysis, FPGA implementation, and cryptographic application of an autonomous 5D chaotic system with offset boosting Research Articles
Sifeu Takougang Kingni, Karthikeyan Rajagopal, Serdar Çiçek, Ashokkumar Srinivasan, Anitha Karthikeyan,stkingni@gmail.com
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 6, Pages 809-962 doi: 10.1631/FITEE.1900167
Keywords： 混沌系统；霍普夫分岔；共存吸引子；偏置增强；FPGA实现；声音加密
Automatic image enhancement by learning adaptive patch selection None
Na LI, Jian ZHAN
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2, Pages 206-221 doi: 10.1631/FITEE.1700125
Today, digital cameras are widely used in taking photos. However, some photos lack detail and need enhancement. Many existing image enhancement algorithms are patch based and the patch size is always fixed throughout the image. Users must tune the patch size to obtain the appropriate enhancement. In this study, we propose an automatic image enhancement method based on adaptive patch selection using both dark and bright channels. The double channels enhance images with various exposure problems. The patch size used for channel extraction is selected automatically by thresholding a contrast feature, which is learned systematically from a set of natural images crawled from the web. Our proposed method can automatically enhance foggy or under-exposed/backlit images without any user interaction. Experimental results demonstrate that our method can provide a significant improvement in existing patch-based image enhancement algorithms.
Keywords： Image enhancement Contrast enhancement Dark channel Bright channel Adaptive patch based processing
Study of Antistatic and GF Reinforced PA66
Liu Jianqiang
Strategic Study of CAE 2004, Volume 6, Issue 6, Pages 77-78
Using non-ionic and anionic antistatic agents as composite antistatic system, glass fiber as reinforcing agent, the PA66 was prepared. It has good antistatic and mechanical properties. The influences of composition of the composite antistatic system and glass fiber content on the properties of the antistatic reinforced Nylon-66 were introduced.
Keywords： Nylon-66 resin antistatic reinforcing agent
De-scattering and edge-enhancement algorithms for underwater image restoration Research Papers
Pan-wang PAN, Fei YUAN, En CHENG
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 6, Pages 862-871 doi: 10.1631/FITEE.1700744
Image restoration is a critical procedure for underwater images, which suffer from serious color deviation and edge blurring. Restoration can be divided into two stages: de-scattering and edge enhancement. First, we introduce a multi-scale iterative framework for underwater image de-scattering, where a convolutional neural network is used to estimate the transmission map and is followed by an adaptive bilateral filter to refine the estimated results. Since there is no available dataset to train the network, a dataset which includes 2000 underwater images is collected to obtain the synthetic data. Second, a strategy based on white balance is proposed to remove color casts of underwater images. Finally, images are converted to a special transform domain for denoising and enhancing the edge using the non-subsampled contourlet transform. Experimental results show that the proposed method significantly outperforms state-of-the-art methods both qualitatively and quantitatively.
Keywords： Image de-scattering Edge enhancement Convolutional neural network Non-subsampled contourlet transform
Robert S. Pierce, Brian G. Falzon
Engineering 2017, Volume 3, Issue 5, Pages 596-607 doi: 10.1016/J.ENG.2017.04.006
Increasing demand for weight reduction and greater fuel efficiency continues to spur the use of composite materials in commercial aircraft structures. Subsequently, as composite aerostructures become larger and more complex, traditional autoclave manufacturing methods are becoming prohibitively expensive. This has prompted renewed interest in out-of-autoclave processing techniques in which resins are introduced into a reinforcing preform. However, the success of these resin infusion methods is highly dependent upon operator skill and experience, particularly in the development of new manufacturing strategies for complex parts. Process modeling, as a predictive computational tool, aims to address the issues of reliability and waste that result from traditional trial-and-error approaches. Basic modeling attempts, many of which are still used in industry, generally focus on simulating fluid flow through an isotropic porous reinforcement material. However, recent efforts are beginning to account for the multiscale and multidisciplinary complexity of woven materials, in simulations that can provide greater fidelity. In particular, new multi-physics process models are able to better predict the infusion behavior through textiles by considering the effect of fabric deformation on permeability and porosity properties within the reinforcing material. In addition to reviewing previous research related to process modeling and the current state of the art, this paper highlights the recent validation of a multi-physics process model against the experimental infusion of a complex double dome component. By accounting for deformation-dependent flow behavior, the multi-physics process model was able to predict realistic flow behavior, demonstrating considerable improvement over basic isotropic permeability models.
Keywords： Composite materials Textile reinforcement Draping Infusion Numerical modeling
混合-增强智能：协作与认知 Review
南宁 郑,子熠 刘,鹏举 任,永强 马,仕韬 陈,思雨 余,建儒 薛,霸东 陈,飞跃 王
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 2, Pages 153-179 doi: 10.1631/FITEE.1700053
Study on Strengthening Technique with Prestressed PBO Fiber Sheets
Wu Zhishen,Iwashita Kentaro,Niu Hedong
Strategic Study of CAE 2005, Volume 7, Issue 9, Pages 18-24
The application of externally bonded fiber reinforced polymer (FRP) laminates to the exposed faces of concrete members provides an innovative and efficient rehabilitation method for strengthening and upgrading structurally inadequate or functionally obsolete concrete structures. However, FRP laminates unlike the cold worked steel exhibit elastic-rupture behavior and also the limited bond capacity of FRP-concrete interface often fails the retrofitted system in an undesirable brittle manner, which leaves FRP material unused with more reserves. Moreover, enhancements in cracking and yield load due to FRP bonding are not significant. To take full advantage of FRP laminates, more gains can be achieved by prestressing the fibers prior to bonding them. Traditional practice is to pretension fiber sheets impregnated with adhesive or FRP plate, which is time-consuming, difficult to apply in the field and ensure a perfect bond at the interface. A newly-developed PBO fiber possesses high modulus, high strength and higher energy absorption capability as compared to carbon and aramid fibers, and PBO fiber sheet can be pretensioned to over 70% of its tensile strength without being impregnated with adhesive. All these make such material suitable to be prestressed for strengthening concrete structures. Based on the experiments and theoretical studies, a comprehensive strengthening method with prestressed PBO sheet is established including concept, working principle and corresponding countermeasures, whose strengthening effect is validated by both laboratory and field experiments.
Keywords： fiber reinforced polymers (FRP) PBO fiber sheet retrofit/repair bond prestressing anchorage
A fast face detection algorithm using enhanced AdaBoostbased on walsh features
Guo Zhibo,Yang Jingyu,Liu Huajun,Yan Yunyang
Strategic Study of CAE 2008, Volume 10, Issue 7, Pages 125-131
A fast face detection algorithm using enhanced AdaBoost based on Walsh features is proposed in this paper, and its training process is fast and works well under fewer non-face training samples.Firstly,the utility of Walsh features, instead of Harr-Like features can reduce the redundancy among features largely. Then, an enhanced double threshold AdaBoost algorithm is developed, where double threshold makes training process faster ; and in the process of training cascaded detector, the next classifier can be guided by the former classifier,which enhances the performance of the cascaded detector ;moreover,the adjustment to the threshold of each classifier can separate the training result of face and on-face as far as possible. Finally, the trained detector is tested on MIT + CMU test set, and experimental results show that its training speed, precision and detection time exceeds the corresponding method.
Keywords： Walsh features enhanced AdaBoost cascaded detector face detection
Jialiang Wang,Sufen Dong,Sze Dai Pang,Xun Yu,Baoguo Han,Jinping Ou
Engineering 2022, Volume 18, Issue 11, Pages 232-245 doi: 10.1016/j.eng.2021.04.030
Replacing micro-reinforcing fibers with carbon nanotubes (CNTs) is beneficial for improving the impact properties of ultra-high performance concrete (UHPC); however, the weak wettability and dispersibility of CNTs and the weakly bonded interface between CNTs and UHPC limit their effectiveness as composites. Therefore, this study aims to enhance the reinforcement effect of CNTs on the impact properties of UHPC via functionalization. Unlike ordinary CNTs, functionalized CNTs with carboxyl or hydroxyl groups can break the Si–O–Ca–O–Si coordination bond in the C–S–H gel and form a new network in the UHPC matrix, effectively inhibiting the dislocation slip inside UHPC matrix. Furthermore, functionalized CNTs, particularly carboxyl-functionalized CNTs, control the crystallization process and microscopic morphology of the hydration products, significantly decreasing and even eliminating the width of the aggregate–matrix interface transition zone of the UHPC. Moreover, the functionalized CNTs further decrease the attraction of the negatively charged silicate tetrahedron to Ca2+ in the C–S–H gel, while modifying the pore structure (particularly the nanoscale pore structure) of UHPC, leading to the expansion of the intermediate C–S–H layer. The changes in the microstructures of UHPC brought about by the functionalized CNTs significantly enhance its dynamic compressive strength, peak strain, impact toughness, and impact dissipation energy at strain rates of 200–800 s−1. Impact performance of UHPC containing a small amount of carboxyl-functionalized CNTs (especially the short ones) is generally better than that of UHPC containing hydroxyl-functionalized and ordinary CNTs; it is even superior to that of UHPC with a high steel fiber content.
Keywords： Functionalized carbon nanotubes Concrete Impact properties Reinforcing mechanisms
Media Enhanced by Artificial Intelligence: Can We Believe Anything Anymore?
Ramin Skibba
Engineering 2020, Volume 6, Issue 7, Pages 723-724 doi: 10.1016/j.eng.2020.05.011
Joris Smits
Engineering 2016, Volume 2, Issue 4, Pages 518-527 doi: 10.1016/J.ENG.2016.04.004
This paper reviews the use of fiber-reinforced polymers (FRPs) in architectural and structural bridge design in the Netherlands. The challenges and opportunities of this relatively new material, both for the architect and the engineer, are discussed. An inventory of recent structural solutions in FRP is included, followed by a discussion on architectural FRP applications derived from the architectural practice of the author and of other pioneers.
Keywords： Architecture Structural design Bridge design Fiber-reinforced polymer (FRP) Bio-composites Flexible molding systems Monocoque structures
PASS - BDI Model for Software Agent
Fan Wei,Chen Zengqiang,Yuan Zhuzhi
Strategic Study of CAE 2004, Volume 6, Issue 6, Pages 43-49
Recent research on software agent is mainly based on rational agent theories that have been presented by Bratman and its core is to build BDI models for agent. But the models can not present the active cognitive processes of agent, and it is hard to richly present the relations between agent problem solving and agent mental states. Because it is not easy to build the explicit corresponding relations between the theory model and the model structure, agent rational models are difficult to realize. This paper introduces a psychologically recognized model-PASS (planning, attention, simultaneous processing and successive processing) into the study about intelligent agent, builds a new agent model named as PASS-BDI, describes the mental states, cognitive processes and whole behaviors with pi-calculus at length and strengthens the active cognitive attributes of agent. Because having built the explicit corresponding relations between this theory model and the model structure, it is easy to program in AOP practice. An application of the model in MAS is presented at last.
Keywords： agent pi-calculus cognitive processes mental state
Understand and construct Beidou
Xu Qifeng
Strategic Study of CAE 2014, Volume 16, Issue 8, Pages 26-32
This paper indicates that the development of satellite navigation system should correspond to defense strategy and equipment capacity, and a regional navigation system covering neighboring countries and the western Pacific is able to meet the recent military and civilian demands. The adverse conditions of constructing satellite navigation system in our country are analyzed and satellite constellation of avoiding adverse conditions is designed.
Keywords： system regional augmentationsatellite navigation system satellite constellation design regional navigation
Low Earth Orbiter (LEO) Navigation Augmentation: Opportunities and Challenges
Wang Lei, Li Deren, Chen Ruizhi, Fu Wenju, Shen Xin, Jiang Hao
Strategic Study of CAE 2020, Volume 22, Issue 2, Pages 144-152 doi: 10.15302/J-SSCAE-2020.02.018
As China’s Beidou satellite navigation system (Beidou system) achieves a primary global coverage, the low earth orbiter navigation augmentation (LEO-NA) technique becomes a hot research topic, since it can easily cooperate with the Beidou system to improve the precision for global autonomous navigation and to extend the application market of the global navigation satellite systems (GNSS). This paper analyzed the demand for and status of the LEO-NA technique, and focused on the in-orbit validation of key techniques for the “Luojia-1A” satellite. It also studied the challenges faced by the LEO-NA system, including interoperability of signal frequencies after navigation augmentation, integrated design of the communication and navigation signals, control and management of the LEO constellations, acquisition and tracking of the high-dynamic augmented signals, and integration with existing GNSS systems. Considering the pressing demand for the LEO-NA techniques, the following suggestions are proposed, including enhancing the top-level design of the LEO-NA system while focusing on the synergy of the LEO-NA and Beidou systems; promoting the integration of the communications, navigation, and remote sensing functions, and building the space-based real-time service system in a stepwise and stratified manner; and planning and constructing the satellite project and the ground infrastructure in an integrated manner.
Keywords： satellite navigation augmentation low earth orbiter constellation Beidou system collaborative development satellite–ground integration
Temporality-enhanced knowledgememory network for factoid question answering Article
Xin-yu DUAN, Si-liang TANG, Sheng-yu ZHANG, Yin ZHANG, Zhou ZHAO, Jian-ru XUE, Yue-ting ZHUANG, Fei WU
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1, Pages 104-115 doi: 10.1631/FITEE.1700788
Keywords： Question answering Knowledge memory Temporality interaction
Title Author Date Type Operation
Dynamic analysis, FPGA implementation, and cryptographic application of an autonomous 5D chaotic system with offset boosting
Sifeu Takougang Kingni, Karthikeyan Rajagopal, Serdar Çiçek, Ashokkumar Srinivasan, Anitha Karthikeyan,stkingni@gmail.com
Journal Article
De-scattering and edge-enhancement algorithms for underwater image restoration
Pan-wang PAN, Fei YUAN, En CHENG
Journal Article
Simulating Resin Infusion through Textile Reinforcement Materials for the Manufacture of Complex Composite Structures
Robert S. Pierce, Brian G. Falzon
Journal Article
Study on Strengthening Technique with Prestressed PBO Fiber Sheets
Wu Zhishen,Iwashita Kentaro,Niu Hedong
Journal Article
A fast face detection algorithm using enhanced AdaBoostbased on walsh features
Guo Zhibo,Yang Jingyu,Liu Huajun,Yan Yunyang
Journal Article
Tailoring Anti-Impact Properties of Ultra-High Performance Concrete by Incorporating Functionalized Carbon Nanotubes
Jialiang Wang,Sufen Dong,Sze Dai Pang,Xun Yu,Baoguo Han,Jinping Ou
Journal Article
Media Enhanced by Artificial Intelligence: Can We Believe Anything Anymore?
Ramin Skibba
Journal Article
Fiber-Reinforced Polymer Bridge Design in the Netherlands: Architectural Challenges toward Innovative, Sustainable, and Durable Bridges
Joris Smits
Journal Article
Low Earth Orbiter (LEO) Navigation Augmentation: Opportunities and Challenges
Wang Lei, Li Deren, Chen Ruizhi, Fu Wenju, Shen Xin, Jiang Hao
Journal Article
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