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An Encoder-Decoder Model Based On Spiking Neural Networks For Address Event Representation Object Recognition

IEEE Transactions on Cognitive and Developmental Systems 2025年

作者： Du, Sichun Zhu, Haodi Zhang, Yang Hong, Qinghui Hunan University College of Computer Science and Electronic Engineering Changsha418002 China Shenzhen University Computer Vision Institute School of Computer Science and Software Engineering National Engineering Laboratory for Big Data System Computing Technology Guangdong Key Laboratory of Intelligent Information Processing Shenzhen518060 China

Address event representation (AER) object recognition task has attracted extensive attention in neuromorphic vision processing. The spike-based and event-driven computation inherent in the spiking neural network (SNN) provides an energy-saving solution for AER object recognition. However, SNN with spike timing dependent plasticity (STDP) learning rule has not achieved satisfying AER object recognition performance. This work proposes an SNN-based encoder-decoder model to improve the recognition performance of AER objects. An STDP-based locally connected spiking neural network (LC-SNN) is proposed as an encoder to extract rich spatiotemporal features from AER event flows more flexibly. After the encoder extracts and learns primary features, we propose a fully connected spiking neural network (FC-SNN) based on the reward-modulated spike-timing-dependent plasticity (R-STDP) learning rule as a decoder to learn higher-level features for classification. In addition, we improved the winner-take-all (WTA) mechanisms and R-STDP learning rule in the decoder based on the reward and punish decision, enabling the network to perform better. The experiments are performed on the N-MNIST, MNIST-DVS, and the DVS Gesture datasets, improving the accuracy of the best existing plasticity-based SNN by 0.19%, 0.27% and 1.35%, respectively. © 2016 IEEE.

关键词： Decoding

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The Optimal Implementation of Khudra Lightweight Block Cipher 9th

The Optimal Implementation of Khudra Lightweight Block Ciphe...

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9th International Conference on Computer Engineering and Networks, CENet2019

作者： Huang, Xiantong Li, Lang Guo, Ying College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China

ISBN: (纸本)9789811537523

In this paper, we discuss the area and speed balance optimization of Khudra lightweight block cipher. There are three major ingredients. Firstly, because of the whole structure of the Khudra block cipher and its F-function is based on a Feistel structure, we make the main module that directly calls the F-function in the hardware optimization implementation. Secondly, through the clock control, the plaintext can be XORed with the key and the round constant under certain conditions. At the same time, the three rounds of the F-function are merged into one module, whose F-function module contains the F-function of the left and right branches of the algorithm. Thus, three rounds of operations can be completed with only one S-box, which can effectively reduce the number of registers and the number of iterations to increase the encryption and decryption rate. Finally, because of the particularity of key expansion in Khudra, we separately calculated the round key and stored its results in the register, which can effectively save the time of key expansion. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Field programmable gate arrays (FPGA)

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A Novel AES Random Mask Scheme Against Correlation Power Analysis 9th

A Novel AES Random Mask Scheme Against Correlation Power Ana...

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9th International Conference on Computer Engineering and Networks, CENet2019

作者： Jiao, Ge Li, Lang Zou, Yi College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China

ISBN: (纸本)9789811537523

With the wide application of smart card, people’s demand for the security of smart card is increasing. The Advanced Encryption Standard (AES) algorithm in smart card itself is safe enough, but the encryption algorithm is still threatened by side-channel attacks due to time, power consumption, electromagnetic radiation, and other information leakage during operation. Aiming at the shortcomings of existing mask schemes in security, a smart card AES encryption NARMS mask against side-channel attack is proposed. This scheme calculates the random mask according to the random hamming weight value and random integer, selects three rounds of random selection and NARMS random mask strategy for protection in the first, second, and ninth rounds of AES algorithm, optimizes and improves the design of the random mask and the overall process of mask protection. The mask scheme designed in this paper is comprehensively compared with ordinary AES algorithm, fixed value mask scheme and rotating S-box masking scheme (RSM). Experiments show that this scheme can effectively resist the first- and second-order correlation power analysis (CPA) attacks and has high efficiency, thus ensuring the key security of AES algorithm and privacy security of smart card application. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Smart cards

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Analysis and Design of Image Encryption Algorithms Based on Interlaced Chaos 10th

Analysis and Design of Image Encryption Algorithms Based on ...

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10th International Conference on Computer Engineering and Networks, CENet 2020

作者： Li, Kangman Li, Qiuping College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China

ISBN: (纸本)9789811584619

For chaotic encryption algorithm, the algorithm of generating chaotic sequence is complex, and the data is float, which directly affects the speed of encryption. In this paper, an interlaced chaotic encryption algorithm is proposed, In this algorithm, the pixel interval is encrypted by chaotic sequence, and the chaotic sequences of other pixels are obtained by XOR the chaotic values of the front and back points, Experiments show that the algorithm can encrypt and decrypt images quickly and has good effect. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Cryptography

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Gender Identification for Coloring Black and White Portrait with cGan 10th

Gender Identification for Coloring Black and White Portrait ...

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10th International Conference on Computer Engineering and Networks, CENet 2020

作者： Liu, Qingyun Lin, Mugang Sun, Yaqi Zhang, Feng College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China

ISBN: (纸本)9789811584619

This paper proposes a method to color black & white portrait images with gender recognition model and condition generation network (cGan). As a cGan model essentially, a method named pix2pix interprets image style transformation as a translation process from input pixels to target pixels. Lots of input to target image pairs should be prepared for model training for different application scenarios. When pix2pix is applied to color black & white portraits, there are obvious differences in color and saturation between portraits of different genders while the ability of gender recognition isnt owned by pix2pix in essence. Therefore, a gender recognition model is added to the network to produce more realistic and gender specific color portraits. The experiments show that our work has achieved better results than some other common methods. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Color

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Design and Implementation of Handwritten Digit Recognition Based on K-Nearest Neighbor Algorithm 10th

Design and Implementation of Handwritten Digit Recognition B...

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10th International Conference on Computer Engineering and Networks, CENet 2020

作者： Wang, Ying Liu, Qingyun Sun, Yaqi Zhang, Feng Zhu, Yining College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China

ISBN: (纸本)9789811584619

In this paper, a handwritten digit recognition system based on K-nearest neighbor algorithm is designed and implemented. By analyzing the application principle and steps of k-nearest neighbor algorithm in machine learning classifier, we design handwritten digit recognition in Python language. In order to improve the accuracy and accuracy of handwritten character recognition, the method of smooth denoising and character segmentation methods are used to preprocess the data, extract the structure and statistical features. The experiments had shown that the accuracy of the algorithm for handwritten character recognition can reach over 97%. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Machine learning

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ALOHA Anti-collision Algorithm for Frame Idle Slot Removal and Collision Reduction

ALOHA Anti-collision Algorithm for Frame Idle Slot Removal a...

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作者： Deng, Hong-wei Zeng, Wei Yao, Ming Kong, Jia-li College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China

In this study, we propose an ALOHA anti-collision algorithm for frame idle slot removal and collision reduction—called the Cancel Idle and Reduce Collision Framed Slotted Aloha (CIRC-FSA) algorithm—to address the collision problems of tags in mobile scenarios. The proposed algorithm is based on the radio frequency identification grouped adaptive allocating slots (GAAS) anti-collision algorithm with self-adaptive packet allocation. A combined chaotic mapping pseudo-random generator is used, the tags are initially grouped, and the frame length L is set to be much larger than the number of grouped tags X (L >> X). Furthermore, incorporating the GAAS protocol enhances the algorithm to skip idle and collision slots and improve the efficiency of tag identification. The results of simulation analysis indicate that, compared with the free framed slotted ALOHA (FSA), grouped dynamic framed slotted ALOHA (GDFSA), and cancel idle framed slotted ALOHA (CIFSA) algorithms, the proposed CIRC-FSA algorithm results in a lower tag loss rate, higher throughput, and higher recognition efficiency. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Radio frequency identification (RFID)

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Design of a Real-Time and Reliable Multi-machine System 10th

Design of a Real-Time and Reliable Multi-machine System

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10th International Conference on Computer Engineering and Networks, CENet 2020

作者： Zhang, Jian Li, Lang Li, Qiuping Zhao, Junxia Liang, Xiaoman College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China

ISBN: (纸本)9789811584619

An IoT (Internet of Things) system is a multi-machine system composed of a master controller and multiple slave controllers. In some automatic control systems such as petroleum and electric power, the main control uses UART (Universal Asynchronous Receiver/Transmitter) to communicate with the slave controller. However, the communication rate of the UART interface is limited and the delay time is long, which affects the systems response to external events. In order to improve the response speed of the system to external events, this paper designs a multi-machine system based on SPI (Serial Peripheral Interface) interface. First, we use the SPI interface of the microcontroller to build a communication network. The circuit structure of the system is simple, and the hardware resource consumption is low. Then, for the problem that the SPI interface cannot detect communication errors and there is no response mechanism, we designed a communication protocol to make up for these defects from the software level. Finally, we use STM32F429IGT6 as the master controller and STM32F103C8T6 as the slave controller to build the experimental platform. The experimental results show that the system is safe and reliable, and can meet the requirements of real-time applications. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Controllers

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Power Analysis Attack on a Lightweight Block Cipher GIFT 9th

Power Analysis Attack on a Lightweight Block Cipher GIFT

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9th International Conference on Computer Engineering and Networks, CENet2019

ISBN: (纸本)9789811537523

GIFT is a new lightweight block cipher with smaller area and higher efficiency, which is very suitable for the Internet of Things (IoT) devices with constrained resources. The power analysis attack is an efficient method to extract the key from the cryptographic equipment. However, it is not easy to reveal the key by means of power analysis attack, when the cipher is implemented by hardware. In this article, we present the method of power analysis attack against GIFT. Firstly, we implemented GIFT on FPGA using the SAKURA-G board. Then, we explored the impact of point of interest (POI) on power analysis attack. We proposed the method of power analysis attack against the diffusion layer of GIFT. The experimental results show that the result of power analysis attack is affected by POI, and the key can be recovered when POI is registered. We can reveal the key using correlation power analysis, when targeting the diffusion layer of GIFT. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Side channel attack

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An Optimized Scheme of information Hiding-Based Visual Secret Sharing 9th

An Optimized Scheme of Information Hiding-Based Visual Secre...

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9th International Conference on Computer Engineering and Networks, CENet2019

作者： Zou, Yi Li, Lang Jiao, Ge College of Computer Science and Technology Hengyang Normal University Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China

ISBN: (纸本)9789811537523

information hiding-based visual secret sharing (IH-VSS) uses the information hiding techniques to embed secret data into images. In the IH-VSS scheme, hidden images are divided into n shadows under the guidance and constraints of some predetermined methods, and only a certain number or all of the credible shadows work together to recover hidden information. Based on (2, 2)-threshold IH-VSS scheme, this paper proposes an optimized IH-VSS scheme, it can randomly locate the hidden position of the secret data. We set a random number and use it as the initial hiding position, then combined with the length of the secret data, assigns the address, and completes the hiding of the secret data. The experimental results show that under the same embedding capacity, the peak signal-to-noise ratio (PSNR) of the optimized scheme is higher than other similar schemes, which is high to 55.41 dB. Moreover, the difference between the two shadows is very small. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Signal to noise ratio

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