2012 IEEE International Conference on Circuits and Systems (ICCAS)最新文献_第2页

Evolvable Block-based Neural Networks for classification of driver drowsiness based on heart rate variability 基于心率变异性的驾驶员睡意分类的可进化分块神经网络

2012 IEEE International Conference on Circuits and Systems (ICCAS) Pub Date : 2012-10-01 DOI: 10.1109/ICCIRCUITSANDSYSTEMS.2012.6408316

V. P. Nambiar, M. Khalil-Hani, C. Sia, M. N. Marsono

{"title":"Evolvable Block-based Neural Networks for classification of driver drowsiness based on heart rate variability","authors":"V. P. Nambiar, M. Khalil-Hani, C. Sia, M. N. Marsono","doi":"10.1109/ICCIRCUITSANDSYSTEMS.2012.6408316","DOIUrl":"https://doi.org/10.1109/ICCIRCUITSANDSYSTEMS.2012.6408316","url":null,"abstract":"Studies have shown that driver drowsiness is one of the main causes of road accidents. It is estimated that 30% of road accidents are caused by driver drowsiness, which creates a need for driver drowsiness detection in modern vehicle systems. Previous works have shown the viability of using heart rate variability (HRV) for detecting the onset of driver drowsiness. HRV is obtained for electrocardiogram (ECG) signals, of which the power bands can be analysed to determine the physiological state of a person. This paper introduces a new method to detect driver drowsiness by classifying the power spectrum of a person's HRV data using Block-based Neural Networks (BbNN), which is evolved using Genetic Algorithm (GA). For most cases, regular Artificial Neural Networks (ANN) are not suitable for high speed and efficient hardware implementation. BbNNs are better candidates due to its regular block based structure, has relatively fast computational speeds, lower resource consumption, and equal classifying strength in comparison to other ANNs. Preliminary work has shown promising results with up to 99.99% classification accuracy using the proposed BbNN detection system for HRV data.","PeriodicalId":325846,"journal":{"name":"2012 IEEE International Conference on Circuits and Systems (ICCAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123754088","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: 13

QCA multiplexer based design of reversible ALU 基于QCA复用器的可逆ALU设计

2012 IEEE International Conference on Circuits and Systems (ICCAS) Pub Date : 2012-10-01 DOI: 10.1109/ICCIRCUITSANDSYSTEMS.2012.6408309

B. Sen, M. Dutta, D. K. Singh, D. Saran, B. Sikdar

引用次数: 24

A low power interface circuit design for a CMOS based smart optical sensor 基于CMOS的智能光传感器低功耗接口电路设计

2012 IEEE International Conference on Circuits and Systems (ICCAS) Pub Date : 2012-10-01 DOI: 10.1109/ICCIRCUITSANDSYSTEMS.2012.6408272

I. Yohannes, M. Assaad, F. Mériaudeau

引用次数: 0

Identification of power hungry unit in a processor with faulty predictor 具有故障预测器的处理器中耗电单元的识别

2012 IEEE International Conference on Circuits and Systems (ICCAS) Pub Date : 2012-10-01 DOI: 10.1109/ICCIRCUITSANDSYSTEMS.2012.6408318

B. Das, B. Sen, D. Saran, B. Sikdar

引用次数: 0

Enhanced Directional Hexagonal Search Algorithm 增强的定向六边形搜索算法

2012 IEEE International Conference on Circuits and Systems (ICCAS) Pub Date : 2012-10-01 DOI: 10.1109/ICCIRCUITSANDSYSTEMS.2012.6408314

A. Ambulkar, S. Wankhede, S. Kautkar, M. Angrakh, V. More

引用次数: 1

Vision-based activities recognition by trajectory analysis for parking lot surveillance 基于轨迹分析的基于视觉的停车场监控活动识别

2012 IEEE International Conference on Circuits and Systems (ICCAS) Pub Date : 2012-10-01 DOI: 10.1109/ICCIRCUITSANDSYSTEMS.2012.6408305

Lih Lin Ng, H. Chua

引用次数: 14

Fingerprint-fingervein multimodal biometric authentication system in field programmable gate array 现场可编程门阵列指纹-指静脉多模态生物识别认证系统

2012 IEEE International Conference on Circuits and Systems (ICCAS) Pub Date : 2012-10-01 DOI: 10.1109/ICCIRCUITSANDSYSTEMS.2012.6408317

R. Moganeshwaran, M. Hani, M. Suhaini

{"title":"Fingerprint-fingervein multimodal biometric authentication system in field programmable gate array","authors":"R. Moganeshwaran, M. Hani, M. Suhaini","doi":"10.1109/ICCIRCUITSANDSYSTEMS.2012.6408317","DOIUrl":"https://doi.org/10.1109/ICCIRCUITSANDSYSTEMS.2012.6408317","url":null,"abstract":"This paper discusses the System-on-Chip (SOC) Field Programmable Gate Array (FPGA) based implementation of multimodal biometric authentication. Multimodal biometric can solve several problems related to the unimodal biometric authentication such as accuracy problem due to noisy data acquisition, biometric spoofing, and non-universality of the biometric traits. Moreover, significant accuracy improvement is difficult to achieve on a unimodal biometric authentication system and the complexity of the improvement process is not suitable for low powered embedded system implementation. By adjusting certain part of each biometric system modal, the complex processing unit can be eliminated allowing for embedded system implementation. Although the accuracy of each biometric system modal will be affected, the fusion of the biometric information will overcome the problem. Furthermore, the need for portable personal authentication has led this research to explore the multimodal biometric authentication in embedded system in which the system is developed in a resource constrained environment. As the first step, fingerprint and fingervein are used as biometric traits and the whole process is implemented in SOC FPGA and executed by general purpose embedded processor in which the biometric information fusion strategy applies at the matching score level. The accuracy of the system is promising with an Error Equal Rate (EER) of 0.33%.","PeriodicalId":325846,"journal":{"name":"2012 IEEE International Conference on Circuits and Systems (ICCAS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126013827","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: 8

Smart novel computer-based analytical tool for image forgery authentication 智能新颖的基于计算机的图像伪造认证分析工具

2012 IEEE International Conference on Circuits and Systems (ICCAS) Pub Date : 2012-10-01 DOI: 10.1109/ICCircuitsAndSystems.2012.6408276

R. Teymourzadeh, Amirrize Alpha, V. H. Mok

引用次数: 3

SPICE modelling of a valley switching flyback power supply controller for improved efficiency in low cost devices 用于提高低成本设备效率的谷开关反激电源控制器的SPICE建模

2012 IEEE International Conference on Circuits and Systems (ICCAS) Pub Date : 2012-10-01 DOI: 10.1109/ICCIRCUITSANDSYSTEMS.2012.6408340

V. P. Nambiar, A. Yahya, T. R. Selvaduray

{"title":"SPICE modelling of a valley switching flyback power supply controller for improved efficiency in low cost devices","authors":"V. P. Nambiar, A. Yahya, T. R. Selvaduray","doi":"10.1109/ICCIRCUITSANDSYSTEMS.2012.6408340","DOIUrl":"https://doi.org/10.1109/ICCIRCUITSANDSYSTEMS.2012.6408340","url":null,"abstract":"The flyback switching mode power supply (SMPS) circuit is undoubtedly the most popular topology currently in low power applications, due to its low cost and simple structure. In the past, there have been many proposed optimizations to flyback designs utilising various techniques such as zero voltage switching (ZVS), active clamping, synchronous rectification, and more. However, most of these designs complicate the original snubbed structure of the flyback topology, and increases its cost. This paper presents the evaluation of a variable-frequency, soft-switching, snubbed, DC/DC flyback converter that utilizes valley switching for improving efficiency. The flyback controller is modelled using SPICE, and uses pulse skipping to maintain the equilibrium of the system based on the feedback from the output. Simulation models report up to 92.2% efficiency, which is almost comparable to ZVS and active clamping topologies. The main advantage of this design is the use of only a single switching transistor, with no additional inductors, correctional circuitry, or clamping action, thus guaranteeing a low cost design.","PeriodicalId":325846,"journal":{"name":"2012 IEEE International Conference on Circuits and Systems (ICCAS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117004082","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: 10

Front end of low power transmitter for wireless capsule endoscope 无线胶囊内窥镜低功率发射器前端

2012 IEEE International Conference on Circuits and Systems (ICCAS) Pub Date : 2012-10-01 DOI: 10.1109/ICCIRCUITSANDSYSTEMS.2012.6408285

L. Xing, S. Shafie, H. Ramiah, N. Sulaiman

引用次数: 1