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International Conference on Mathematics and Computing (ICMC)

作者： Kameshwari, A. V. S. Balakrishnan, S. Vellore Inst Technol Sch Adv Sci Dept Phys Vellore Tamil Nadu India

ISBN: (纸本)9789811993091;9789811993077;9789811993060

The newly proposed modified Eisert-Wilkens-Lewenstein scheme can be widely used to understand any quantum game through quantum operators. This scheme provides a vast range of two-qubit entangling operators which is otherwise not possible using the traditional Eisert-Wilkens-Lewenstein scheme (EWL) and the Marinatto-Weber scheme (MW). In our work, the proposed modified EWL scheme is further explored in noisy market games. Decoherence commonly known as noise is an unavoidable interaction of the system with the surroundings. We analyze the effects of decoherence in the Cournot duopoly game when amplitude damping is present in either of the communication channels. We find an interesting result that decoherence affects channel 2 but does not affect channel 1. Furthermore, we discover that the effect of decoherence can be partially mitigated by selecting an appropriate entangling operator.

关键词： Game theory quantization scheme Cournot duopoly game Decoherence

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Quantized Fully Convolution Neural Network for HW Implementation of Human Posture Recognition 3

Quantized Fully Convolution Neural Network for HW Implementa...

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IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS)

作者： Russo, Alessandro Licciardo, Gian Domenico Di Benedetto, Luigi Rubino, Alfredo Liguori, Rosalba Naddeo, Alessandro Cappetti, Nicola Univ Salerno Dept Ind Engn I-84084 Fisciano SA Italy

ISBN: (纸本)9781665419130

In this paper, a very tiny HW design of a Quantized Fully Convolutional Neural Network is proposed which demonstrates that accurate Human Posture Recognition can be designed by exploiting only pressure sensors and keeping the computation close to the data sources, according to the edge computing paradigm. The custom design of the QFCN exploits a base-2 quantization scheme to achieve state-of-the-art performances in terms of classification accuracy, together with a very reduced number of mapped physical resources and power consumption. Trained and validated on a public dataset for in-bed posture classification, the QFCN exhibits an accuracy up to 96.77% in recognizing 17 different postures. When prototyped on a Xilinx Artix 7 FPGA the design achieves less than 7 mW dynamic power dissipation and a maximum operation frequency of 26.6 MHz, compatible with an Output Data Rate (ODR) of the sensors of 9.13 kHz.

关键词： Convolutional neural network quantization scheme low-power digital design FPGA custom design

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A modification of Faddeev–Popov approach free from Gribov ambiguity

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Communications in Theoretical Physics 2020年第12期72卷 137-144页

作者： Chong-yao Chen Fei Gao Yu-Xin Liu Department of Physics and State Key Laboratory of Nuclear Physics and Technology Peking UniversityBeijing 100871China Collaborative Innovation Center of Quantum Matter Beijing 100871China Center for High Energy Physics Peking UniversityBeijing 100871China Institut fur Theoretische Physik Universitaet HeidelbergPhilosophenweg 1669120 HeidelbergGermany

We propose a modified version of the Faddeev–Popov(FP)quantization approach for nonAbelian gauge field theory to avoid Gribov *** show that by means of introducing a new method of inserting the correct identity into the Yang–Mills generating functional and considering the identity generated by an integral through a subgroup of the gauge group,the problem of Gribov ambiguity can be removed *** by handling the absolute value of the FP determinant with the method introduced by Williams and collaborators,we lift the Jacobian determinant together with the absolute value and obtain a local *** new Lagrangian will have a nilpotent symmetry which can be viewed as an analog of the Becchi–Rouet–Stora–Tyutin symmetry.

关键词： QCD quantization scheme Gribov copy non-Abelian field theory

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Global Stabilization of Memristive Neural Networks with Leakage and Time-Varying Delays Via Quantized Sliding-Mode Controller

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NEURAL PROCESSING LETTERS 2020年第3期52卷 2451-2468页

作者： Cao, Yuting Sun, Bo Guo, Zhenyuan Huang, Tingwen Yan, Zheng Wen, Shiping Hunan Univ Coll Math & Econometr Changsha 410082 Peoples R China Univ Elect Sci & Technol China Sch Comp Sci & Engn Chengdu 611731 Peoples R China Texas A&M Univ Qatar Sci Program Doha 23874 Qatar Univ Technol Australian AI Inst Sydney NSW Australia

This pape investigates the global stabilization of memristive neural networks (MNNs) with leakage and time-varying delays via quantized sliding-mode controller. The leakage delay is considered in the MNNs. Sliding mode controller is imported to ensure global stabilization of delayed MNNs. We also introduce two quantization schemes with uniform quantizer and logarithmic quantizer. Our goal is to deal with errors before and after quantization. We give some simulations and comparisons between two quantizers in the end of this paper.

关键词： Memristive neural network Time-varying delay Leakage delay Global stabilization Quantized sliding-mode controller quantization scheme

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Implementation of sequential game on quantum circuits

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QUANTUM INFORMATION PROCESSING 2020年第4期19卷 109-109页

作者： Dhiman, Anjali Uttam, Tejasvi Balakrishnan, S. Vellore Inst Technol Sch Adv Sci Dept Phys Vellore 632014 Tamil Nadu India

It is known that Eisert-Wilkens-Lewenstein scheme and Marinatto-Weber scheme are widely used to quantize simultaneous games. Further, distributed quantum game can be implemented in quantum networks using the schemes based on client-server model and peer-to-peer model. While most of the research works focus on simultaneous games, in this work, we propose the quantum circuit implementation of sequential game, namely cop and robber game using peer-to-peer model. Thus we have made a modest attempt to show the possibility of implementing sequential games in quantum circuits. Further, quantum version of cop and robber game is analyzed. Implications of the results are discussed from the game-theoretic point of view and quantum circuit point of view.

关键词： Quantum games quantization scheme Quantum circuits Quantum network

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A Quantized CNN-Based Microfluidic Lensless-Sensing Mobile Blood-Acquisition and Analysis System

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SENSORS 2019年第23期19卷 5103-5103页

作者： Liao, Yumin Yu, Ningmei Tian, Dian Li, Shuaijun Li, Zhengpeng Xian Univ Technol Sch Automat & Informat Engn Xian 710000 Peoples R China

This paper proposes a microfluidic lensless-sensing mobile blood-acquisition and analysis system. For a better tradeoff between accuracy and hardware cost, an integer-only quantization algorithm is proposed. Compared with floating-point inference, the proposed quantization algorithm makes a tradeoff that enables miniaturization while maintaining high accuracy. The quantization algorithm allows the convolutional neural network (CNN) inference to be carried out using integer arithmetic and facilitates hardware implementation with area and power savings. A dual configuration register group structure is also proposed to reduce the interval idle time between every neural network layer in order to improve the CNN processing efficiency. We designed a CNN accelerator architecture for the integer-only quantization algorithm and the dual configuration register group and implemented them in field-programmable gate arrays (FPGA). A microfluidic chip and mobile lensless sensing cell image acquisition device were also developed, then combined with the CNN accelerator to build the mobile lensless microfluidic blood image-acquisition and analysis prototype system. We applied the cell segmentation and cell classification CNN in the system and the classification accuracy reached 98.44%. Compared with the floating-point method, the accuracy dropped by only 0.56%, but the area decreased by 45%. When the system is implemented with the maximum frequency of 100 MHz in the FPGA, a classification speed of 17.9 frames per second (fps) can be obtained. The results show that the quantized CNN microfluidic lensless-sensing blood-acquisition and analysis system fully meets the needs of current portable medical devices, and is conducive to promoting the transformation of artificial intelligence (AI)-based blood cell acquisition and analysis work from large servers to portable cell analysis devices, facilitating rapid early analysis of diseases.

关键词： lensless sensing quantization scheme CNN microfluidic chip blood analysis

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quantization scheme FOR FERMIONIC SYSTEM AND s-ORDERED OPERATOR EXPANSION FORMULA OF FERMIONIC DENSITY OPERATORS

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MODERN PHYSICS LETTERS A 2011年第11期26卷 833-842页

作者： Xu, Ye-Jun Song, Jun Yuan, Hong-Chun Fan, Hong-Yi Liu, Qiu-Yu Chizhou Coll Dept Phys Elect & Engn Chizhou 247000 Anhui Peoples R China Univ Sci & Technol China Dept Modern Phys Hefei 230026 Anhui Peoples R China W Anhui Univ Dept Math & Phys Luan 237012 Peoples R China Univ Sci & Technol China Dept Mat Sci & Engn Hefei 230026 Anhui Peoples R China

We introduce the generalized fermionic Wigner operator with an s parameter. Based on its remarkable properties, we establish one-to-one mapping between fermion operators and their s-parametrized pseudo-classical correspondence, which may involve fermionic Weyl pseudo-classical correspondence, P-representation and Q-representation in a unified way. Furthermore, starting with the projector of the fermionic coherent state, we obtain the s-ordered operator expansion formula of fermionic density operators, which includes normally ordered, antinormally ordered and Weyl ordered product of operators for different values of s. Applications in calculating some Fermi operators' s-ordered expansions are presented.

关键词： quantization scheme fermionic system operator ordering

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quantization scheme for Energy Detector of Soft Decision Cooperative Spectrum Sensing in Cognitive Radio

Quantization Scheme for Energy Detector of Soft Decision Coo...

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Globecom Workshops

作者： Tani, Yuuki Saba, Takahiko Chiba Inst Technol Dept Comp Sci Chiba 2750016 Japan

ISBN: (纸本)9781424488650

Cognitive radio technique enables unlicensed users to use the spectrum assigned to licensed users. Therefore, a highly accurate sensing technique to know the presence of licensed users is essential. For such a purpose, soft decision cooperative spectrum sensing techniques are proposed. In a soft decision cooperative spectrum sensing, the cognitive base station collects the received signal energy information from multiple users. Since the bandwidth of the control channel used for collecting the energy information is limited, it is necessary to quantize the received signal energy information in each user. In this paper, we propose a quantization scheme based on the probability of false alarm for the soft decision cooperative spectrum sensing. The quantization criterion is analytically derived, and the theoretical expression for the resultant probability of false alarm is presented with taking the quantization error into account.

关键词： cognitive base station cognitive radio cognitive radio technique cooperative communication energy detector false alarm probability probability quantisation (signal) quantization error quantization scheme soft decision cooperative spectrum sensing

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A Modified Optimally Quantized Offset Min-Sum Decoding Algorithm for Low-Complexity LDPC Decoder

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WIRELESS PERSONAL COMMUNICATIONS 2015年第2期80卷 561-570页

作者： Roberts, Michaelraj Kingston Jayabalan, Ramesh PSG Coll Technol Dept Elect & Commun Engn Coimbatore 641004 Tamil Nadu India

In this paper, A Modified Optimally Quantized Offset Min-Sum Decoding Algorithm for low complexity, low-density parity-check decoder is proposed. In the proposed algorithm, more effective adjustment for the check node and variable node updating process is achieved by introducing optimally quantized adaptive offset correction factors. Unlike the conventional Offset Min-Sum algorithm and its variants, the offset correction factor of the proposed algorithm can self adapt itself according to the state of both the check node and variable node during each iteration. Simulation results show that the proposed decoding algorithm achieves significant coding gain improvement over other Min-Sum algorithms without additional hardware complexity. In addition to the coding gain improvement, the proposed algorithm can reducing up to 8-14 % of the decoding iterations required to correct the channel errors at relatively low Signal-to-noise ratio. Furthermore, in the proposed algorithm the finite word length effects are reduced by utilizing a 6-bit non-uniform quantization scheme. The proposed algorithm with a 6-bit non-uniform quantization scheme is shown to achieve about 21.6 % reduction in the total number of memory bits required to store the processed data without degradation in the decoding performance.

关键词： Coding gain Finite word length Low-density parity-check (LDPC) codes Min-Sum algorithm (MSA) quantization scheme

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Improved fuzzy vault scheme for alignment-free fingerprint features 14

Improved fuzzy vault scheme for alignment-free fingerprint f...

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14th International Conference of the Biometrics Special Interest Group, BIOSIG 2015

作者： Tams, Benjamin Merkle, Johannes Rathgeb, Christian Wagner, Johannes Korte, Ulrike Busch, Christoph Institute for Mathematical Stochastics University of Göttingen Germany Secunet Security Networks AG Essen Germany Da/Sec - Biometrics and Internet Security Research Group Hochschule Darmstadt Germany Federal Office for Information Security Bonn Germany

ISBN: (纸本)9783885796398

The fuzzy vault scheme is one of the most prominent tools for protecting fingerprint templates, typically being minutiae-based. However, there exist two major problems. Firstly, the fuzzy vault scheme is vulnerable to attacks correlating different templates of the same user. Secondly, auxiliary alignment data may leak information about the protected fingerprints which negatively affects security and privacy. In this paper, we tackle both problems. Our implementation uses alignment-free fingerprint features and fusions thereof, thereby removing the need to store alignment parameters. Furthermore, the features are passed through a quantization scheme and then dispersed in a maximal number of chaff, thereby thwarting correlation attacks. © 2015 Gesellschaft für Informatik e.V.

关键词： data protection fuzzy set theory alignment-free fingerprint features auxiliary alignment data correlation attacks fingerprint template protection fuzzy vault scheme quantization scheme Biometrics (access control) Correlation Estimation Frequency estimation quantization (signal) Security Visualization computer information security Data Security Frequency estimation Fuzzy Set Theory Fingerprints Visualization Security Fuzzy

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