发布求助
文献互助 智能选刊 最新文献

Int. J. Biom.最新文献

筛选
英文 中文
Research on manipulator motion control based on neural network algorithms 基于神经网络算法的机械臂运动控制研究
Int. J. Biom. Pub Date : 2020-02-26 DOI: 10.1504/ijbm.2020.10027202
Shi Qiongyan, Jianghua Zhang
{"title":"Research on manipulator motion control based on neural network algorithms","authors":"Shi Qiongyan, Jianghua Zhang","doi":"10.1504/ijbm.2020.10027202","DOIUrl":"https://doi.org/10.1504/ijbm.2020.10027202","url":null,"abstract":"The manipulator is the new artificial intelligence device, and its motion control is the basis for ensuring the stability of the manipulator's attitude. The traditional manipulator motion control adopts the static neuron control method, which will lead to small disturbance in the attitude control of the manipulator, and cause the stable motion performance of the manipulator. A motion control algorithm for manipulator is proposed based on variable structure fuzzy PID neural network. The coordinate system structure description and manipulator dynamics analysis of the controlled system are carried out. The motion control algorithm of the manipulator is improved by using variable structure PID neural network control and adaptive disturbance suppression method. Combined with the strict feedback control method, the motion error of the manipulator is compensated, and the steady-state error is corrected by the adaptive inertial compensation method to realise the motion control optimisation of the manipulator. The simulation results show that the motion control algorithm of the manipulator has better positioning performance and better control stability, reduces the steady-state error and improves the control stability.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114986044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
The design of embedded image teaching systems based on ARM technology 基于ARM技术的嵌入式图像教学系统的设计
Int. J. Biom. Pub Date : 2020-02-26 DOI: 10.1504/ijbm.2020.10027196
Can Wang
{"title":"The design of embedded image teaching systems based on ARM technology","authors":"Can Wang","doi":"10.1504/ijbm.2020.10027196","DOIUrl":"https://doi.org/10.1504/ijbm.2020.10027196","url":null,"abstract":"With the continuous development of multimedia and speech teaching laboratory in colleges and universities, and the application of digital processing technology, digital voice teaching equipment is attracting more and more attention from domestic universities and instrument manufacturers. Based on the core technology of ARM and DSP dual core technology, the theoretical analysis of digital language learning system is carried out, and the student terminal circuit and teaching software system are designed in detail, and the function and technical index of the whole system are tested. The test results show that the digital speech learning system constructed by the student terminal controlled by ARM and DSP binuclear is fully satisfied with the actual language teaching requirements.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125407428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on the optimisation of complex models of large-scale building structures dependent on adaptive grey genetic algorithms 基于自适应灰色遗传算法的大型建筑结构复杂模型优化研究
Int. J. Biom. Pub Date : 2020-02-26 DOI: 10.1504/ijbm.2020.10027198
Xiaohong Shi
{"title":"Research on the optimisation of complex models of large-scale building structures dependent on adaptive grey genetic algorithms","authors":"Xiaohong Shi","doi":"10.1504/ijbm.2020.10027198","DOIUrl":"https://doi.org/10.1504/ijbm.2020.10027198","url":null,"abstract":"Genetic algorithm (GA) is a bionics algorithm based on the biological evolution theory that has received extensive attention in the field of computer science and optimisation in recent years. This paper analyses and integrates the relevant contents of genetic algorithm and its application in the optimal design of large-scale building structures and analyses and researches briefly several key factors when the genetic algorithm is applied to the optimal design of large-scale building structures, such as mathematical modelling, constraint condition treatment, generation of initial population and selection of control parameters of genetic algorithm. However, because the simple genetic algorithm is only good at global search, and the local search ability is not enough, it will take quite a long time to achieve the real optimal solution. For the shortcomings of simple genetic algorithm, an improved adaptive grey genetic algorithm is proposed in this paper. The example shows that the obtained adaptive genetic algorithm can improve the convergence and calculation speed when the genetic algorithms is applied to structural optimisation design.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131073413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on the optimal design of municipal roads based on genetic algorithms 基于遗传算法的市政道路优化设计研究
Int. J. Biom. Pub Date : 2020-02-26 DOI: 10.1504/ijbm.2020.10027211
Shufang Li, Zhang Xiu, Zhang Li
{"title":"Research on the optimal design of municipal roads based on genetic algorithms","authors":"Shufang Li, Zhang Xiu, Zhang Li","doi":"10.1504/ijbm.2020.10027211","DOIUrl":"https://doi.org/10.1504/ijbm.2020.10027211","url":null,"abstract":"In order to improve the rationality of the design of municipal roads and realise the optimal planning and design of municipal roads, an empirical road optimisation design method based on genetic algorithm is proposed. In the sample of remote sensing image of municipal road, by solving the zero uniform ergodic characteristic and logical difference variable scale characteristic of objective function, the analysis and design of complex urban road pattern is realised, according to the principle of pixel correlation, genetic algorithm is used to optimise the design of municipal roads, and the image merging planning analysis model of municipal roads is constructed. The feature classification of municipal roads is carried out by genetic method, and the cross edge contour feature segmentation method of municipal roads is adopted. Optimise planning and network design of municipal roads. The simulation results show that this method can improve the rational layout of municipal road planning and improve the spatial planning capacity and traffic capacity of municipal roads.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130143250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A study on the fatigue of bus drivers based on biological models 基于生物模型的公交司机疲劳研究
Int. J. Biom. Pub Date : 2020-02-26 DOI: 10.1504/ijbm.2020.10027204
Xiao Hong
{"title":"A study on the fatigue of bus drivers based on biological models","authors":"Xiao Hong","doi":"10.1504/ijbm.2020.10027204","DOIUrl":"https://doi.org/10.1504/ijbm.2020.10027204","url":null,"abstract":"In order to improve the fatigue detection ability of public transport drivers, the biometric modelling method is used to test and evaluate the fatigue of drivers. A fatigue detection model for public transport drivers is proposed based on biological mathematical model analysis and the prevention and evaluation according to the fatigue test model is constructed. According to the visual, neural and blood supply characteristics of public transport drivers, the mathematical model of quantitative recursive statistical analysis of public transport drivers' biological fatigue is established by using descriptive statistical analysis method. The problem of public transport driver testing is transformed into an optimal solution problem for a continuous time-delay non-smooth system. Under the condition of non-smooth autonomous continuous boundedness, a biologic mathematical model of fatigue detection is constructed. The delay-dependent sufficient conditions of public transport driver fatigue testing are obtained to prevent and monitor driving fatigue accurately. The test results show that the model is accurate for public traffic drivers' fatigue testing. According to the biometric test results, it can reliably reflect whether the driver is tired or not, so that the danger alarm can be carried out and the driving safety can be ensured.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131530733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on network intrusion detection security based on improved extreme learning algorithms and neural network algorithms 基于改进极限学习算法和神经网络算法的网络入侵检测安全性研究
Int. J. Biom. Pub Date : 2020-02-26 DOI: 10.1504/ijbm.2020.10027201
Zhenjun Dai
{"title":"Research on network intrusion detection security based on improved extreme learning algorithms and neural network algorithms","authors":"Zhenjun Dai","doi":"10.1504/ijbm.2020.10027201","DOIUrl":"https://doi.org/10.1504/ijbm.2020.10027201","url":null,"abstract":"In order to improve the ability of network fuzzy intrusion detection, a network intrusion detection method based on improved extreme learning algorithm and neural network algorithm is proposed to improve the security of the network. ARMA and other linear detection methods are used to construct the network intrusion signal model, and the nonlinear time series and chaos analysis methods are used to extract the feature of network intrusion and big data information analysis. The limit learning method is used for active detection of network intrusion; the adaptive learning method is used for iterative analysis of network intrusion detection, and the correlation characteristic decomposition method is used to improve the convergence of network intrusion detection. The fuzzy neural network algorithm is used to classify the network intrusion features to improve the intrusion detection performance. The simulation results show that this method has high accuracy and strong anti-jamming ability; it has good application value in network security.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121205020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Cancellable biometric system based on linear combination of trigonometric functions with special application to forensic dental biometrics 基于三角函数线性组合的可抵消生物识别系统，在法医口腔生物识别中有特殊应用
Int. J. Biom. Pub Date : 2019-09-05 DOI: 10.1504/ijbm.2019.10023702
M. Banday, A. H. Mir
{"title":"Cancellable biometric system based on linear combination of trigonometric functions with special application to forensic dental biometrics","authors":"M. Banday, A. H. Mir","doi":"10.1504/ijbm.2019.10023702","DOIUrl":"https://doi.org/10.1504/ijbm.2019.10023702","url":null,"abstract":"Biometric templates in its original form are susceptible to attacks and irrevocable if compromised, and thus need to be protected. The proposed template protection approach based on a linear combination of trigonometric functions secures the dental templates stored in forensic records and also maintains the recognition performance of the identification system simultaneously. Furthermore, the security analysis of this non invertible transformation has been done by making many attempts to revert the transformed templates back to the original domain which proved effectual in maintaining the non-invertibility. The experimental results indicate that this approach is practical with a low EER of 2%. Moreover, this system has a high recognition rate of almost 98% and rank 1 identification rate of 93.33% for original as well as transformed dental templates and it is worth to mention that varying the key value does not degrade the system performance in case of template renewability.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133930294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Feature selection for face authentication systems: feature space reductionism and QPSO 人脸认证系统的特征选择:特征空间还原论和量子粒子群算法
Int. J. Biom. Pub Date : 2019-09-05 DOI: 10.1504/ijbm.2019.10023701
E. A. Ebeid, Ashraf Aboshosha, K. Eldahshan, E. Elsayed
{"title":"Feature selection for face authentication systems: feature space reductionism and QPSO","authors":"E. A. Ebeid, Ashraf Aboshosha, K. Eldahshan, E. Elsayed","doi":"10.1504/ijbm.2019.10023701","DOIUrl":"https://doi.org/10.1504/ijbm.2019.10023701","url":null,"abstract":"In face authentication systems, the feature selection (FS) process is very important because any feature extractor introduces some irrelevant or noisy features. These features can affect in the performance of such systems. In this paper, a new method is proposed to reduce the computations time in the facial feature selection. Quantum Fourier transforms (QFT), discrete wavelet transform (DWT). Discrete cosine transform (DCT) and scale invariant feature transform (SIFT) are employed separately as features' extractors. The proposed algorithm denoted by FSR_QPSO has two phases: feature space reductionism (FSR) and optimal feature selection based on quantum particle swarm optimisation (QPSO). FSR reduces the size of the feature matrix by selecting the best vectors (rows) and rejects the worst. Then QPSO is applied to fetch the optimal features set over the reduced space that contains the best vectors only. The proposed algorithm has been tested on ORL and Face94 databases. The experimental results show that the proposed algorithm reduces feature selection time against the case of using complete feature space.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115374984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Personal authentication based on wrist and palm vein images 基于手腕和手掌静脉图像的个人身份验证
Int. J. Biom. Pub Date : 2019-09-05 DOI: 10.1504/ijbm.2019.10023699
Abderrahmane Herbadji, N. Guermat, Lahcene Ziet, Mohamed Cheniti, Djamel Herbadji
{"title":"Personal authentication based on wrist and palm vein images","authors":"Abderrahmane Herbadji, N. Guermat, Lahcene Ziet, Mohamed Cheniti, Djamel Herbadji","doi":"10.1504/ijbm.2019.10023699","DOIUrl":"https://doi.org/10.1504/ijbm.2019.10023699","url":null,"abstract":"One of the newest promising biometrics researched today is the vein pattern recognition. However, little efforts have been invested in this direction. In this paper, two frameworks focused on a palm and wrist vein-based multimodal authentication system are proposed. For the first framework, wrist and palm traits of the same hand are fused, whilst four biometric markers are combined in the second framework using texture descriptors such as local phase quantisation (LPQ), local binary patterns (LBPs), binarised statistical image features (BSIF) and local ternary patterns (LTP). In addition, two approaches of score level fusion are applied: 1) transformation-based using sum rule, min-max rules and t-norms; 2) classifier-based via t-norms. The experimental results on publicly available dataset show that the integration of wrist and palm vein images from both left and right hand gives much improved accuracy than the fusion of two traits of one hand. The recognition rate of the proposed wrist-palm vein based multibiometric system is found to be 100%.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127984575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Improving ear recognition robustness against 3D rotation using statistical modelling based on forensic classification 基于法医分类的统计建模提高耳朵识别对3D旋转的鲁棒性
Int. J. Biom. Pub Date : 2019-09-05 DOI: 10.1504/ijbm.2019.10023703
T. Minamidani, Hideyashu Sai, D. Watabe
{"title":"Improving ear recognition robustness against 3D rotation using statistical modelling based on forensic classification","authors":"T. Minamidani, Hideyashu Sai, D. Watabe","doi":"10.1504/ijbm.2019.10023703","DOIUrl":"https://doi.org/10.1504/ijbm.2019.10023703","url":null,"abstract":"Even though ear shape is used in forensic investigations, an ear identification system for assisting forensic experts is not well developed. One of the reasons for this is the three-dimensional (3D) concave shape of the ear; this changes its two-dimensional (2D) appearance when camera angles change. 3D statistical modelling is necessary to compensate for these changes in 2D appearance. In this study, we aim to increase the number of 3D statistical ear models based on a few forensic classification methods of ear shapes. Experimental evaluation shows that morphological classification based on the antihelix can improve the robustness of ear recognition against the change in camera angles.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128769794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信