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Representation learning via a semi-supervised stacked distance autoencoder for image classification Research Articles
Liang Hou, Xiao-yi Luo, Zi-yang Wang, Jun Liang,jliang@zju.edu.cn
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 7, Pages 963-1118 doi: 10.1631/FITEE.1900116
Keywords: 自动编码器;图像分类;半监督学习;神经网络
Battle damage assessment based on an improved Kullback-Leibler divergence sparse autoencoder Article
Zong-feng QI, Qiao-qiao LIU, Jun WANG, Jian-xun LI
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 12, Pages 1991-2000 doi: 10.1631/FITEE.1601395
Keywords: Battle damage assessment Improved Kullback-Leibler divergence sparse autoencoder Structural optimization Feature selection
Efficient normalization for quantitative evaluation of the driving behavior using a gated auto-encoder Research Articles
Xin HE, Zhe ZHANG, Li XU, Jiapei YU,xinhe_ee@zju.edu.cn,xupower@zju.edu.cn
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3, Pages 452-462 doi: 10.1631/FITEE.2000667
Keywords: Driving behavior Normalization Gated auto-encoder Quantitative evaluation
Jing-jing Chen, Qi-rong Mao, You-cai Qin, Shuang-qing Qian, Zhi-shen Zheng,2221808071@stmail.ujs.edu.cn,mao_qr@ujs.edu.cn,2211908026@stmail.ujs.edu.cn,2211908025@stmail.ujs.edu.cn,3160602062@stmail.ujs.edu.cn
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 11, Pages 1535-1670 doi: 10.1631/FITEE.2000019
Keywords: 语音分离;生成因子;自动编码器;深度学习
Deep 3D reconstruction: methods, data, and challenges Review Article
Caixia Liu, Dehui Kong, Shaofan Wang, Zhiyong Wang, Jinghua Li, Baocai Yin,lcxxib@emails.bjut.edu.cn,wangshaofan@bjut.edu.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 5, Pages 615-766 doi: 10.1631/FITEE.2000068
Keywords: 深度学习模型;三维重建;循环神经网络;深度自编码器;生成对抗网络;卷积神经网络
Attention-based efficient robot grasp detection network Research Article
Xiaofei QIN, Wenkai HU, Chen XIAO, Changxiang HE, Songwen PEI, Xuedian ZHANG,xiaofei.qin@usst.edu.cn,obmmd_zxd@163.com
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 10, Pages 1430-1444 doi: 10.1631/FITEE.2200502
Keywords: Robot grasp detection Attention mechanism Encoder– decoder Neural network
Displacement measuring grating interferometer: a review Special Feature on Precision Measurement and Inst
Peng-cheng HU, Di CHANG, Jiu-bin TAN, Rui-tao YANG, Hong-xing YANG, Hai-jin FU
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5, Pages 631-654 doi: 10.1631/FITEE.1800708
A grating interferometer, called the “optical encoder,” is a commonly used tool for precise displacement measurements. In contrast to a laser interferometer, a grating interferometer is insensitive to the air refractive index and can be easily applied to multi-degree-of-freedom measurements, which has made it an extensively researched and widely used device. Classified based on the measuring principle and optical configuration, a grating interferometer experiences three distinct stages of development: homodyne, heterodyne, and spatially separated heterodyne. Compared with the former two, the spatially separated heterodyne grating interferometer could achieve a better resolution with a feature of eliminating periodic nonlinear errors. Meanwhile, numerous structures of grating interferometers with a high optical fold factor, a large measurement range, good usability, and multidegree-of-freedom measurements have been investigated. The development of incremental displacement measuring grating interferometers achieved in recent years is summarized in detail, and studies on error analysis of a grating interferometer are briefly introduced.
Keywords: Grating interferometer Optical encoder Displacement measurement Precision measurement
Low-power, high-speed, and area-efficient sequential circuits by quantum-dot cellular automata: T-latch and counter study Research Article
Mohammad GHOLAMI, Zaman AMIRZADEH
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3, Pages 457-469 doi: 10.1631/FITEE.2200361
cellular automata (QCA)%29&ck%5B%5D=abstract&ck%5B%5D=keyword'> is a new nanotechnology for the implementation of nano-sized digital circuits. This nanotechnology is remarkable in terms of speed, area, and power consumption compared to complementary metal-oxide-semiconductor (CMOS) technology and can significantly improve the design of various logic circuits. We propose a new method for implementing a in QCA technology in this paper. The proposed method uses the intrinsic features of QCA in timing and clock phases, and therefore, the proposed cell structure is less occupied and less power-consuming than existing implementation methods. In the proposed , compared to previous best designs, reductions of 6.45% in area occupation and 44.49% in power consumption were achieved. In addition, for the first time, a reset-based and a with set and reset capabilities are designed. Using the proposed , a new 3-bit is developed which reduces 2.14% cell numbers compared to the best of previous designs. Moreover, based on the 3-bit , a 4-bit is designed, which reduces 0.51% cell numbers and 4.16% cross-section area compared to previous designs. In addition, two selective s are introduced to count from 0 to 5 and from 2 to 5. Simulations were performed using and tools in coherence vector engine mode. The proposed circuits are compared with related designs in terms of delay, cell numbers, area, and leakage power.
Keywords: Quantum-dot cellular automata (QCA) Quantum-dot T-latch T-flip-flop Counter Selective counter QCADesigner QCAPro
A creative concept for designing and simulating quaternary logic gates in quantum-dot cellular automata Research Articles
Alireza Navidi, Reza Sabbaghi-Nadooshan, Massoud Dousti,alireza.navidi@srbiau.ac.ir,r_sabbaghi@iauctb.ac.ir,m_dousti@srbiau.ac.ir
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 11, Pages 1441-1550 doi: 10.1631/FITEE.2000590
Keywords: 量子点细胞自动机(QCA);四值逻辑;量子点细胞自动模拟器(QCASim);四值QCA(QQCA);四值译码器;四值门
Cellular automata based multi-bit stuck-at fault diagnosis for resistive memory Research Article
Sutapa SARKAR, Biplab Kumar SIKDAR, Mousumi SAHA
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7, Pages 1110-1126 doi: 10.1631/FITEE.2100255
Keywords: Resistive memory Cell reliability Stuck-at fault diagnosis Single-length-cycle single-attractor cellular automata Single-length-cycle two-attractor cellular automata Single-length-cycle multiple-attractor cellular automata
Indeterminacy Causal Inductive Automatic Reasoning Mechanism Based On Fuzzy State Describing
Yang Bingru,Tang Jing
Strategic Study of CAE 2000, Volume 2, Issue 5, Pages 44-50
New framework of knowledge representation of fuzzy language field and fuzzy language value structure is shown in this paper. Then the generalized cell automation that can synthetically process fuzzy indeterminacy and random indeterminacy and the generalized inductive logic causal model are brought forward. On this basis, the new logic indeterminate causal inductive automatic reasoning mechanism which is based on fuzzy state describing is brought forward. At the end of this paper its application in the development of intelligent controller is discussed.
Keywords: language field language value structure generalized cell automation generalized inductive logic causal model automatic reasoning intelligent controller
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
A novel cellular automata (CA) — two-dimensional controllable CA — is proposed in this paper. According to characteristics of two-dimensional controllable CA, a pseudo random generating method based on two-dimensional controllable CA with a trapezoidal structure is presented. Simulation demonstrates that pseudo random bit sequence generator based on the two-dimensional controllable CA with a trapezoidal structure is easily implemented, and can generate high speed bit sequence and excellent statistical properties. This novel CA is widely used in symmetrical cryptography.
Keywords: cellular automata pseudorandom number generators controllable cryptography
Performance analysis of the stop-and-wait automatic repeat request protocol under Markovian interruptions Regular Papers-Research Articles
Dashdondov KHONGORZUL, Yong-Ki KIM, Mi-Hye KIM
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9, Pages 1296-1306 doi: 10.1631/FITEE.1700185
Keywords: Stop-and-wait ARQ protocol Markovian interruptions Poisson distribution Buffer occupancy Waiting time
Kernel sparse representation for MRI image analysis in automatic brain tumor segmentation None
Ji-jun TONG, Peng ZHANG, Yu-xiang WENG, Dan-hua ZHU
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4, Pages 471-480 doi: 10.1631/FITEE.1620342
Keywords: Brain tumor segmentation Kernel method Sparse coding Dictionary learning
A New Algorithm of Fractal Image Coding
Wang Xiuni,Jiang Wei,Wang Licun
Strategic Study of CAE 2006, Volume 8, Issue 1, Pages 54-57
Because it takes too much of time in fractal image coding, the paper analyses the factors that affect the speed of fractal image coding , and proposes a novel idea by using the reformed variance (tentatively) to improve image fractal compression performance . A theorem is proved that the IFS cannot change the image blocks' reformed variance. Moreover , it gives a novel fractal image compression method based on the reformed variance. The simulation results illuminate that the new method can run fast, at the same time it can improve the PSNR when compared with other fast algorithms.
Keywords: fractal coding image compression variance
Title Author Date Type Operation
Representation learning via a semi-supervised stacked distance autoencoder for image classification
Liang Hou, Xiao-yi Luo, Zi-yang Wang, Jun Liang,jliang@zju.edu.cn
Journal Article
Battle damage assessment based on an improved Kullback-Leibler divergence sparse autoencoder
Zong-feng QI, Qiao-qiao LIU, Jun WANG, Jian-xun LI
Journal Article
Efficient normalization for quantitative evaluation of the driving behavior using a gated auto-encoder
Xin HE, Zhe ZHANG, Li XU, Jiapei YU,xinhe_ee@zju.edu.cn,xupower@zju.edu.cn
Journal Article
Latent source-specific generative factor learning for monaural speech separation using weighted-factor autoencoder
Jing-jing Chen, Qi-rong Mao, You-cai Qin, Shuang-qing Qian, Zhi-shen Zheng,2221808071@stmail.ujs.edu.cn,mao_qr@ujs.edu.cn,2211908026@stmail.ujs.edu.cn,2211908025@stmail.ujs.edu.cn,3160602062@stmail.ujs.edu.cn
Journal Article
Deep 3D reconstruction: methods, data, and challenges
Caixia Liu, Dehui Kong, Shaofan Wang, Zhiyong Wang, Jinghua Li, Baocai Yin,lcxxib@emails.bjut.edu.cn,wangshaofan@bjut.edu.cn
Journal Article
Attention-based efficient robot grasp detection network
Xiaofei QIN, Wenkai HU, Chen XIAO, Changxiang HE, Songwen PEI, Xuedian ZHANG,xiaofei.qin@usst.edu.cn,obmmd_zxd@163.com
Journal Article
Displacement measuring grating interferometer: a review
Peng-cheng HU, Di CHANG, Jiu-bin TAN, Rui-tao YANG, Hong-xing YANG, Hai-jin FU
Journal Article
Low-power, high-speed, and area-efficient sequential circuits by quantum-dot cellular automata: T-latch and counter study
Mohammad GHOLAMI, Zaman AMIRZADEH
Journal Article
A creative concept for designing and simulating quaternary logic gates in quantum-dot cellular automata
Alireza Navidi, Reza Sabbaghi-Nadooshan, Massoud Dousti,alireza.navidi@srbiau.ac.ir,r_sabbaghi@iauctb.ac.ir,m_dousti@srbiau.ac.ir
Journal Article
Cellular automata based multi-bit stuck-at fault diagnosis for resistive memory
Sutapa SARKAR, Biplab Kumar SIKDAR, Mousumi SAHA
Journal Article
Indeterminacy Causal Inductive Automatic Reasoning Mechanism Based On Fuzzy State Describing
Yang Bingru,Tang Jing
Journal Article
Two-dimensional Controllable Cellular Automata BasedPseudo Random Bit Sequence Generator
Zhu Baoping,Ma Qian,Liu Fengyu
Journal Article
Performance analysis of the stop-and-wait automatic repeat request protocol under Markovian interruptions
Dashdondov KHONGORZUL, Yong-Ki KIM, Mi-Hye KIM
Journal Article
Kernel sparse representation for MRI image analysis in automatic brain tumor segmentation
Ji-jun TONG, Peng ZHANG, Yu-xiang WENG, Dan-hua ZHU
Journal Article