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Iris Anti-Spoofing Solution for Mobile Biometric Applications

Pattern Recognition and Image Analysis 2018年第4期28卷 670-675页

作者： Odinokikh, G. Efimov, Iu. Solomatin, I. Korobkin, M. Matveev, I. Federal Research Center "Computer Science and Control" of Russian Academy of Sciences Moscow Russia Moscow Institute of Physics and Technology Dolgoprudny Russia National Research University of Electronic Technology Zelenograd Russia

The ability to provide reliable protection against counterfeiting is one of the key requirements for a biometric security system. Iris recognition as the technology emerging on mobile market is assumed to handle various types of spoof attacks to prevent compromise of the user’s personal data. A method of iris anti-spoofing is proposed in this work. It is based on applying of convolutional neural network and capable to work in real-time on the mobile device with highly limited computational resources. Classification of iris sample for spoof and live is made by a single frame using a pair of images: eye region and normalized iris. The following types of iris spoof samples are considered in this particular work: printed on paper, printed on paper with imposition of a contact lens, printed on paper with application of transparent glue. Testing of the method is performed on the dataset manually collected and containing all the mentioned spoof sample types. The method revealed its high performance in both classification accuracy and processing speed as well as robustness under uncontrollably changing environmental conditions, which are specific and significant when interacting with the mobile device. © 2018, Pleiades Publishing, Ltd.

关键词： Machine learning

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A definition of the extended Jacobian inverse kinematics algorithm for mobile robots 9

A definition of the extended Jacobian inverse kinematics alg...

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2007 9th European control Conference, ECC 2007

作者： Tchon, Krzysztof Jakubiak, Janusz Institute of Computer Engineering Control and Robotics Wroclaw University of Technology Wroclaw50-372 Poland

ISBN: (纸本)9783952417386

Using control theoretic concepts we present a definitional procedure of extended Jacobian inverse kinematics algorithms for mobile robots. As a point of departure we assume a representation of the mobile robot kinematics as the end point map of a driftless control system with outputs. The space of admissible control functions of this system plays the role of the configuration space of the mobile robot, the system output space corresponds to the taskspace, so that the mobile robot kinematics transform the configuration space into the taskspace. The extended Jacobian inverse kinematics algorithm is obtained by means of the continuation method, and is based on the extended Jacobian inverse. The main step of its derivation consists in extending the original mobile robot kinematics to a map of the configuration space into itself. To this aim the configuration space is decomposed into a finite dimensional subspace, isomorphic to the taskspace, and the remaining quotient subspace. In compliance with this decomposition an augmenting kinematics map is introduced. The original kinematics and the augmenting kinematics constitute the extended kinematics. In a region free from singularities the inverse of the derivative of the extended kinematics defines the extended Jacobian inverse. By design, the extended Jacobian inverse kinematics algorithm has the property of repeatability. In the paper, the general procedure is exemplified by a derivation of the extended Jacobian inverse for a chained form system that is feedback equivalent to the kinematics of the kinematic car type mobile robot. An examination of algorithmic singularities of this algorithm is carried out. computer simulations illustrate the performance of the algorithm. © 2007 EUCA.

关键词： Mobile robots

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A two-stage HV-driven adaptive multi-objective evolutionary algorithm and its application in fixed polarity reed-muller circuits

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Expert Systems with Applications 2025年 288卷

作者： Lu Yang Shengsheng Wang Ruyi Dong Zihao Fu College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China College of Information and Control Engineering Jilin Institute of Chemical Technology Changchun 130012 China

To achieve a balance between convergence and diversity, we proposed a two-stage HV-driven adaptive multi-objective evolutionary algorithm (TSAMEA). TSAMEA employs a sinusoidal decreasing parameter adjustment method to enhance exploration pace in the first stage. An adaptive parameter control mechanism utilizes historical memory pools and an HV-driven degree adjustment strategy to achieve better exploitation in the second stage. Extensive experimental data demonstrate that TSAMEA outperforms nine other compared MOEAs. The component analysis illustrates the efficacy of each component of TSAMEA. In addition, area and power optimization are now the main limitations in chip design, TSAMEA is applied to area and power optimization for Fixed Polarity Reed-Muller (FPRM) logic circuits and perform well, which further verifies the ability of the TSAMEA to solve practical problems.

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A Theory for Semantic Channel Coding With Many-to-one Source

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IEEE Transactions on Cognitive Communications and Networking 2025年

作者： Ma, Shuai Zhang, Chuanhui Qi, Huayan Li, Hang Bi, Yue Shi, Guangming Al-Dhahir, Naofal Peng Cheng Laboratory Shenzhen518066 China China University of Mining and Technology School of Information and Control Engineering Xuzhou221116 China Shen zhen Research Institute of Big Data Guangdong Shenzhen518172 China Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering Shanghai200240 China IP Paris LTCI Telecom Paris Palaiseau91120 France Xidian University School of Artificial Intelligence Shaanxi Xi'an710071 China Pengcheng Laboratory Shenzhen518066 China University of Texas at Dallas Electrical and Computer Engineering Department RichardsonTX75080 United States

As one of the potential key technologies of 6G, semantic communication is still in its infancy and there are many open problems, such as semantic entropy definition and semantic channel coding theory. To address these challenges, we investigate semantic information measures and semantic channel coding theorem. Specifically, we propose a semantic entropy definition as the uncertainty in the semantic interpretation of random variable symbols in the context of knowledge bases, which can be transformed into existing semantic entropy definitions under given conditions. Moreover, different from traditional communications, semantic communications can achieve accurate transmission of semantic information under a non-zero bit error rate. Based on this property, we derive a semantic channel coding theorem for a typical semantic communication with many-toone source (i.e., multiple source sequences express the same meaning), and prove its achievability and converse based on a generalized Fano's inequality. Finally, numerical results verify the effectiveness of the proposed semantic entropy and semantic channel coding theorem. © 2015 IEEE.

关键词： semantic channel coding theorem Semantic communications semantic entropy

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Variation autoencoder based network representation learning for classification 55

Variation autoencoder based network representation learning ...

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55th Annual Meeting of the Association for Computational Linguistics, ACL 2017

作者： Li, Hang Wang, Haozheng Yang, Zhenglu Odagaki, Masato College of Computer and Control Engineering Nankai University Tianjin China Maebashi Institute of Technology Japan

ISBN: (纸本)9781945626562

Network representation is the basis of many applications and of extensive interest in various fields, such as information retrieval, social network analysis, and recommendation systems. Most previous methods for network representation only consider the incomplete aspects of a problem, including link structure, node information, and partial integration. The present study introduces a deep network representation model that seamlessly integrates the text information and structure of a network. The model captures highly non-linear relationships between nodes and complex features of a network by exploiting the variational autoencoder (VAE), which is a deep unsupervised generation algorithm. The representation learned with a paragraph vector model is merged with that learned with the VAE to obtain the network representation, which preserves both structure and text information. Comprehensive experiments is conducted on benchmark datasets and find that the introduced model performs better than state-of-the-art techniques. © 2017 Association for Computational Linguistics.

关键词： Recommender systems

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Data Identification Optimal control for Quantized Linear Systems under DoS Attacks

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IEEE Transactions on Aerospace and Electronic Systems 2025年

作者： Wang, Xianming Li, Liwei Shen, Mouquan Zhao, Xudong Wang, Qing-Guo Zhu, Zheng Hong Nanjing Tech University School of Mechanical and Power Engineering Nanjing211816 China Nanjing Tech University College of Electrical Engineering and Control Science Nanjing211816 China Dalian University of Technology Faculty of Electronic Information and Electrical Engineering Dalian116024 China Beijing Normal University Institute of Ai and Future Networks Zhuhai519087 China BNU-HKBU United International College Guangdong Provincial Key Laboratory Irads Department of Computer Science Zhuhai519087 China York University Department of Mechanical Engineering TorontoONM3J 1P3 Canada

This paper is devoted to data identification optimal control for quantized linear systems under denial of service (DoS) attacks. A least-squares algorithm is provided to identify the unknown system matrices using a data-based representation. An output estimation algorithm utilizing identified matrices is supplied to offset DoS attacks. Consequently, an optimal controller is built on the quantized and attacked data by adaptive dynamic programming. Sufficient conditions are presented to guarantee that the resultant closed-loop system is ultimately uniformly bounded. An example is produced to verify the validity of the proposed approach. © 1965-2011 IEEE.

关键词： Optimal control systems

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Motion planning of the double-link trident snake robot

Motion planning of the double-link trident snake robot

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10th IFAC Symposium on Robot control, SYROCO 2012

作者： Tchoń, Krzysztof Jakubiak, Janusz Institute of Computer Engineering Control and Robotics Wroclaw University of Technology 50-372 Wroclaw Poland

ISBN: (纸本)9783902823113

This paper addresses the motion planning problem of the trident snake robot consisting of a triangular body equipped with 2-link branches with actuated joints. The kinematics of the robot are represented by a driftless control system referred to as body controlled. This system converts to joint controlled after applying a feedback transformation. A two step motion planning strategy has been proposed to provide the joint control of the robot. First, a constrained motion planning problem is solved for the body control, preventing the feedback from getting singular, second the joint control is achieved by combining the body control with the feedback. It has been shown that the former step can be accomplished using the imbalanced Jacobian motion planning algorithm. The motion planning strategy is illustrated by computer simulations. © 2012 IFAC.

关键词： Motion planning

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Wiener-Hammerstein system identification with non-Gaussian input

Wiener-Hammerstein system identification with non-Gaussian i...

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10th IFAC International Workshop on Adaptation and Learning in control and Signal Processing, ALCOSP 2010

作者： Mzyk, Grzegorz Institute of Computer Engineering Control and Robotics Wroclaw University of Technology 50-370 Wroclaw Poland

ISBN: (纸本)9783902661852

The paper addresses the problem of non-parametric estimation of the static characteristic in Wiener-Hammerstein (sandwich) system excited and disturbed by random processes. A new, kernel-like method is presented. The proposed estimate is consistent under small amount of a priori information. An IIR dynamics, non-invertible static non-linearity, and non-Gaussian excitations are admitted. The convergence of the estimate is proved for each continuity point of the static characteristic and the asymptotic rate of convergence is analysed. The results of computer simulation example are included to illustrate the behaviour of the estimate for moderate number of observations. © 2010 IFAC.

关键词： Random processes

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computer System for Energy-saving control of Electrotechnological Chemical Plants 3

Computer System for Energy-saving Control of Electrotechnolo...

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3rd International Conference on control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2021

作者： Chistjakova, Tamara Ershova, Olga Saint-Petersburg State Institute of Technology Computer Design and Control Department Saint-Petersburg Russia

ISBN: (纸本)9781665439817

The architecture of a computer system for controlling electrotechnological chemical plants in an energy-saving mode is presented. The system is a flexible configurable environment for different types of equipment, using different raw materials, the required quality of the target products and productivity. The core of the system is mathematical models that are reconfigured for various equipment, raw materials, products obtained and productivity. Databases and mathematical software have been developed that allow determining the values of control actions. To develop control interfaces as close as possible to real objects, a SCADA system was used. The development is tested on the example of energy-intensive production of aluminum, calcium carbide and phosphorus, for which energy-saving management is relevant. The system forms control tips for production personnel that ensure safe, energy-saving modes of operation of plants. Testing based on experimental and literary data confirmed the adequacy of the models and the effectiveness of the system due to the reduction of development time and the convenience of software implementation. The efficiency is confirmed by the results of approbation and certificates of implementation at Russian industrial enterprises, in scientific and educational organizations. © 2021 IEEE.

关键词： Energy conservation

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Emotion detection on phone calls during emergency using ensemble model with hyper parameter tuning

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International Journal of Information technology (Singapore) 2023年第2期15卷 745-757页

作者： Selvan, A. Kalai Nimmi, K. Janet, B. Sivakumaran, N. C-DAC Thiruvananthapuram India Department of Computer Applications National Institute of Technology Tiruchirappalli India Department of Instrumentation and Control Engineering National Institute of Technology Tiruchirappalli India

The paper’s main focus is on speech-based emotion detection in Malayalam phone call records, including emergency calls [(emergency response support system (ERSS)] and elicited *** emotions taken into consideration are fear, anger, sad, disgust, panic, anxious are among the emotions considered, while all other emotions are labeled as others. When reporting an emergency, callers commonly exhibit emotional stress, which results in speech output discrepancies. In such uncontrolled situations, determining caller qualities is exceedingly challenging due to poor speech quality and background noise. Fear, anger, and sadness are the three basic emotions expressed during an emergency. In order to classify the emotions, this paper used a bagging and boosting ensemble model. Using the Malayalam speech emotion dataset (MSED), the proposed support vector machine ensembles with Bagging with radial basis function kernel function were found to have an accuracy of 93.01%. Elicited and emergency speech from emergency calls are used to train support vector machine ensembles. For comparison of the performance of the model, we have used RAVDESS and Emo-DB. The accuracy obtained were 81.40% while using the RAVDESS dataset and 93.01% while using Emo-DB dataset which is high when compared to existing machine learning and ensemble model. The performance of boosting models was comparatively lesser than that of the Bagging model. © 2022, The Author(s), under exclusive licence to Bharati Vidyapeeth's institute of computer Applications and Management.

关键词： Emergency response support system (ERSS) Ensemble model Mel frequency cepstral co-efficient (MFCC) Speech emotion detection (SED) Support vector machine (SVM) ZeroCrossing rate (ZCR)

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