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XAI-Based Identification of EEG Features of Inhibition and Working Memory Activation

XAI-Based Identification of EEG Features of Inhibition and W...

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Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), IEEE International conference on

作者： Pasquale Arpaia Ciro Ivan De Girolamo Matteo De Luca Allegra Fullin Ludovica Gargiulo Luigi Maffei Nicola Moccaldi Rachele Robbio Paolo De Blasiis Department of Electrical Engineering and Information Technology (DIETI) University of Naples Federico II Naples Italy Dep. of Advanced Biomedical Sciences University of Naples Federico II Naples Italy Dep. of Electrical Engineering and Information Technology (DIETI) University of Naples Federico II Naples Italy University of Basilicata Potenza Italy

ISBN: (数字)9798350378009

ISBN: (纸本)9798350378016

The most informative electroencephalographic (EEG) features related to basic Executive Functions (EFs) were identified by exploiting the SHapley Additive exPlanations (SHAP), an eXplainable Artificial Intelligence (XAI) method. In particular, Working Memory (WM) and Inhibitory Control (IC) were tested by exposing participants to N-Back and Go-NoGo tasks. Currently, eXplainable AI (XAI) methods are scarcely investigated in the framework of EEG signal processing. Specific EEG features of EFs activation are still poorly explored. EEG data from 13 healthy participants were gathered during rest condition and cognitive task executions. In particular, N-Back (activating WM) and Go-NoGo (activating IC) tasks were administered with two difficulty levels. SHAP identified Absolute Delta Power in Fp1 and Fp2 as the two most significant features for both WM and IC, when the two experiments were analyzed separately. The same two features emerged as the most significative when SHAP was applied on a classification problem involving the two tasks at the highest difficulty level. Absolute power of Delta Fp1 and Fp2 resulted statistically significantly lower in the Go-NoGo task compared to the N-Back. These results are consistent with a condition of suppression of irrelevant sensory stimuli common to the two tasks and particularly to the more challenging N-back task. The research contributes to the development of solutions for the cognitive rehabilitation of patients suffering from neurodegenerative diseases.

关键词： Knowledge engineering Explainable AI Statistical analysis Extended reality signal processing algorithms Neural engineering signal processing Metrology Electroencephalography Integrated circuit modeling

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Acceleration of PET Monte Carlo simulation using the graphics hardware ray-tracing engine

Acceleration of PET Monte Carlo simulation using the graphic...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Zhiguang Wang Peter. D. Olcott Craig S. Levin Department of Radiology Stanford University Medical School Stanford CA USA

GRAY (High Energy Photon Ray Tracer) is a Monte-Carlo ray-driven high energy photon transport engine for PET and SPECT applications that supports complex mesh based primitives for source distributions, phantom shapes, and detector geometries. Ray tracing is a technique used in computer graphics to render scenes with realistic light properties. We adapted this technique to accelerate solving the intersection test problems in our simulator. Monte Carlo simulations study the performance of PET systems, test signal processing algorithms, guide the design of advanced PET systems, data correction schemes, and image reconstruction algorithms. GPU acceleration of these simulations makes these studies more practical while avoiding the need of a large, expensive computer cluster. Recent improvements in the computing power and programmability of graphics processing units (GPUs) have enabled the possibility of using GPUs for the acceleration of scientific applications, including time-consuming simulations in physics. This paper describes the acceleration of GRAY using NVIDIA OptiX ray tracing engine on GPUs for runtime performance and the implementation of secondary physical processes validated against GEANT for enhancing GRAY's accuracy. We describe the GPU-based computation and how it is mapped onto the many parallel computational units now available on the NVIDIA GTX 200 series GPUs. For a brain PET acquisition benchmark, a speedup of 5.2X; for a GATE PET acquisition benchmark, a speedup of 15.88X were achieved on a single GTX285 GPU over the CPU GRAY and the GATE simulation toolkit executed on an Intel(R) Core™2 Duo T6600@2.40GHz processor with equivalent accuracy.

关键词： Photonics Graphics processing unit Ray tracing Positron emission tomography Engines Acceleration Geometry

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Traffic signal recognition using YOLO, a comparative analysis

Traffic signal recognition using YOLO, a comparative analysi...

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International conference on Image Information processing

作者： Ashish Kumar Dogra Vipal Sharma Harsh Sohal Computer Science Engineering/IT JUIT Solan India Electronic and communication Engineering JUIT Solan India

ISBN: (数字)9798350371406

ISBN: (纸本)9798350371413

The identification of traffic signs is a major challenge for intelligent automobiles. Recognition of traffic signs gives useful data, such as alerts and directions, for cooperative intelligent transport systems (CITS) and advanced driver assistance systems (ADAS). In realistic autonomous driving scenarios, traffic signs can be challenging to identify even with a very precise real-time method. As a result, drivers are calling for more secure and trustworthy traffic sign recognition technology, and current automakers are also working on developing one. All images captured by the actual driving car are blurry and distorted. The study of traffic sign recognition systems faces several challenges due to external, unmanageable components, such as the impact of unfavorable conditions, and the practical use is still in its infancy. This study provides the YOLO model for traffic sign identification as a solution for the issues mentioned above. The first step is to generally arrange the traffic signs into various categories. Next, the prepossessing process then follows the characteristics of the different kinds of signs. The improved convolution neural network receives the altered images and breaks down the categories into more specific subcategories. The YOLOv3-tiny and YOLOv4-tiny algorithms are examined by using the CCTSDB dataset and the Tsinghua-Tecent 100k(TTK100) dataset and YOLOv2,YOLOv3 andYOLOv5 are examined using the CCTSDB and HRRSD(High Resolution Remote Sensing Detection) datasets depending on the various categories. The findings indicate that YOLOv4-tiny algorithm achieves good recognition performance on both TTK100 and CCTSDB datasets and YOLOv5 on both CCTSDB and HRRSD dataset are most suited for use in traffic sign recognition systems and has a high classification accuracy.

关键词： YOLO Image resolution Neural networks Information processing Real-time systems Classification algorithms Automobiles

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OFDM adaptive digital predistortion method combines RLS and LMS algorithm

OFDM adaptive digital predistortion method combines RLS and ...

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IEEE conference on Industrial Electronics and Applications (ICIEA)

作者： Wei Jian Chongxiu Yu Jianxin Wang Jianguo Yu Lin Wang Key Laboratory of Optical Communication and Light wave Technology (Ministry of Education) Beijing University of Posts and Telecommunications Beijing China State Key Laboratory of Optical Communication Technologies and Networks Wuhan China Key-Laboratory of All-Optical networks & Advanced Communications Networks (Ministry of Education) Beijing Jiaotong University Beijing China

ISBN: (纸本)9781424427994

A novel adaptive digital predistortion method combines RLS (Recursive Least-Square) and LMS (Least Mean-Square) with Volterra kernel is proposed to compensate the nonlinear and memorial distortion of OFDM power amplifier. For RLS could induce unexpected modulation mistakes in small error signal, it is chosen to estimate coefficients in big error signals to ensure the high convergent speed. As soon as the value of error signal is less than defined error threshold, adaptive algorithm is changed from RLS to LMS automatically. LMS that has a stable convergence in small error signals can update coefficients in a smooth convergent process. This particular characteristic is also beneficial to hardware implementation to trace the time variability of power amplifier and compensate memorial nonlinear effects. Furthermore, the constellation distortion and spectrum characteristics of 16-QAM modulated OFDM signals with different predistortion algorithms are analyzed in detail by the simulation process. Compared with conventional single RLS or LMS predistortion algorithm, the results show that the performance of digital adaptive predistortion system could be optimized with both high speed and stability by this new method.

关键词： Predistortion Resonance light scattering Least squares approximation Nonlinear distortion Power amplifiers OFDM modulation signal processing Kernel Adaptive algorithm Convergence

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Intermittent blood pressure prediction via multiscale entropy and ensemble artificial neural networks

Intermittent blood pressure prediction via multiscale entrop...

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IEEE EMBS conference on Biomedical Engineering and Sciences (IECBES)

作者： Muammar Sadrawi Jiann-Shing Shieh Shou Zen Fan Chien Hung Lin Koichi Haraikawa Jen Chien Chien Maysam F. Abbod Dept. Mechanical Engineering and Innovation Center for Big Data and Digital Convergence Yuan Ze University Chung-Li Taiwan Department of Anesthesiology College of Medicine National Taiwan University Taipei Taiwan Health and Beauty Research Center Cal-Comp Inc New Taipei City Taiwan Health and Beauty Research Center Kinpo Electronics Inc New Taipei City Taiwan Dept Electronic and Computer Engineering Brunel University London Uxbridge UK

ISBN: (纸本)9781467377928

This study evaluates the correlation between the intermittent blood pressure (BP) and the photoplethysmography (PPG). This study of a total of twenty-five cases is started by the partitioning of the PPG signal into a 5-minute segment. The segmented PPG is filtered by ensemble empirical mode decomposition (EEMD). The feature extraction method, multiscale entropy (MSE) is utilized for the purified signal to achieve some information. The seventy-five scale of MSE is taken into the input of the artificial neural network (ANN) modeling. The outputs of this system are the intermittent diastolic and systolic blood pressure. Originally, thousand models are created. The best model is chosen for the best single ANN model. In advanced, the ensemble artificial neural network (EANN) model is initiated to observe the testing data. The result, compared to the best single ANN model, shows that the EANN model recognizes better the testing data by producing lower mean absolute error (MAE).

关键词： Artificial neural networks Entropy Blood pressure Data models Testing Empirical mode decomposition signal processing algorithms

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OFDM waveform feature suppression

OFDM waveform feature suppression

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MILCOM, Military Communications conference

作者： R.R. Meyer M.N. Newhouse Communications & Navigation Systems Department Advanced Technology Center Rockwell Collins Cedar Rapids IA USA

Traditional multicarrier systems developed for commercial applications use features of the waveform to improve the performance of receiver processing. These features, added in transmit processing, include, for example, a cyclic extension to mitigate inter-block interference, pilot tones inserted to assess the channel state, and specific FFT bin patterns for synchronization. An adversary can exploit these features to glean information about the transmitted waveform. The paper discusses a low probability of intercept (LPI) analysis of traditional and militarized OFDM waveforms. Militarized efforts include the elimination of the cyclic extension, pilot tones, and fixed synchronization patterns. We present an overview of the algorithms used to provide additional LPI relative to the commercial systems. In addition, traditional LPI quantitative analyses of the OFDM waveform are presented. Without adding the militarized features, the analysis shows that the OFDM waveform is rather easily detected. These analyses show the detectable features in OFDM without cyclic extension decrease as the number of subcarriers increase.

关键词： Frequency synchronization Interference Computer vision Modulation coding OFDM modulation Delay effects signal generators Wideband Navigation Communications technology

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On the reverse link performance of the cdma2000 1xEV-DO revision A system with antenna array receivers

On the reverse link performance of the cdma2000 1xEV-DO revi...

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GLOBECOM '05. IEEE Global Telecommunications conference, 2005.

作者： Y. Tokgoz Mingxi Fan J.E. Smee Qualcomm Inc. San Diego CA USA

cdma2000 1xEV-DO revision A (DO Rev. A), also known as IS-856-A, is a third generation (3G) wireless solution to providing wide-area high-speed mobile Internet access with high spectral efficiency and advanced quality-of-service (QoS) support. In this paper we evaluate the reverse link performance improvement (in terms of coverage and data throughput) of IS-856-A with the use of more advanced antenna array receivers. Specifically, we consider the effect of increasing the receiver antenna array size and utilizing more sophisticated beamforming schemes. We quantify the capacity improvement via analysis as well as comprehensive system simulations that incorporate realistic channel models and the dynamics associated with MAC-layer algorithms in addition to the physical-layer interactions. We show that DO Rev. A with 4-way antenna diversity on the reverse link achieves more than 3 dB gain over 2-way diversity receivers in sector throughput. We also demonstrate a coverage improvement on the order of 6 dB, which can be translated into further throughput gains by relaxing the interference control mechanism

关键词： Receiving antennas Antenna arrays Throughput Internet Quality of service Array signal processing Algorithm design and analysis Analytical models Gain Interference

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Calibration and direction of arrival estimation with a uniform circular array for mobile radio channels

Calibration and direction of arrival estimation with a unifo...

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IEEE conference on Vehicular Technology (VTC)

作者： J.L.M. Terres I. Gaspard J. Freese R. Jakoby Technologiezentrum T Systems Nova GmbH Berkom Darmstadt Germany Technische Universität Darmstadt Darmstadt Germany

By use of array antennas in mobile radio communications, a gain for the desired signal and more efficient rejection of interference can be achieved, either through diversity or beamforming techniques. Their use depends, basically, on the correlation coefficient between signals on the different array elements, that is influenced by the existence of direct line of sight (LOS). As yet, arrays are located only at the base station, but their use at the mobile station is also possible. In. this work, advanced direction of arrival (DOA) and delay estimation algorithms with a uniform circular array (UCA) located at the mobile station are analysed. These techniques demand a highly accurate calibration of the array to reduce the effects of both inter-element coupling and non-omni directional antenna pattern. On the basis of measurements in an anechoic room calibration is performed, and a unitary delay-DOA algorithm is adapted and implemented for circular arrays. The results obtained from a measurement campaign show that at a high percentage of locations the DOA of the first multipath component coincides with the direction towards the transmitter in azimuth. This result implies the use of array antennas also in mobile stations where enough space is available, e.g. on the roof of cars and trains.

关键词： Calibration Direction of arrival estimation Land mobile radio Antenna arrays Mobile antennas Antenna measurements Mobile communication Interference Array signal processing Base stations

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Retinal OCT Image Denoising Based on Adaptive Bessel K-form Modeling

Retinal OCT Image Denoising Based on Adaptive Bessel K-form ...

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Iranian conference of Biomedical Engineering (ICBME)

作者： Sahar Jorjandi Zahra Amini Maryam Samieinasab Hossein Rabbani Department of Bioelectrics and Biomedical Engineering School of Advanced Technologies in Medicine Student Research Committee Isfahan University of Medical Sciences Isfahan Iran Medical Image & Signal Processing Research Center School of Advanced Technologies in Medicine Isfahan University of Medical Sciences Isfahan Iran Department of Molecular and Human Genetics Baylor College of Medicine Houston TX USA

In this study, an adaptive approach is addressed to reduce the noise of retinal Optical Coherence Tomography (OCT) images. Since the layered structure of retinal OCT images creates a dependency between adjacent pixels at particular distances, the presented method is based on the adaptive selection of variable neighborhood windows for each pixel of OCT images. Indeed, by defining this spatial adaptivity, we extend our earlier work in which a pixel-wise fixed window was considered. Here, the variance is calculated in an optimal window for each pixel; so that the ultimate distribution of the variance image follows a gamma model. Besides, the asymmetry observed in the distribution of retinal layers led to suggest Asymmetric Bessel K-form (ABKF). This model is easily transformed into a Gaussian distribution through dividing the image into the root of the variance image. Then, it can be used with Gaussian-based algorithms for OCT denoising application. The results show the impressive performance of the proposed adaptive local BKF model in noise reduction and increasing image contrast as visual and quantitative criteria.

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Fast summation transformation for battery impedance identification

Fast summation transformation for battery impedance identifi...

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IEEE conference on Aerospace

作者： John L. Morrison Brian Smyth Josh Wold Das K. Butherus William H. Morrison Jon P. Christopherson Chester G. Motloch Montana Technology Butte MT USA University of Idaho Moscow ID USA Qualtech Systems Inc. Wethersfield CT USA Idaho National Laboratory Idaho Falls ID USA Motloch Consulting Inc. Idaho Falls ID USA

A battery is an important subsystem for electrical energy storage in many military, space and commercial applications. Consequently, in-situ diagnostics for state-of-health estimation of the battery is also critical for enhancing the overall applications' reliability. Montana Tech, in collaboration with the Idaho National Laboratory (INL) and Qualtech Systems Inc. (QSI), has been working towards the development of advanced techniques for in-situ and real time estimation of a battery's impedance spectrum. INL has shown that the shift of a batteries impedance spectrum strongly correlates to the health of the battery. Two different methods for measurement of the battery impedance spectrum have been developed independently by Montana Tech, NL, and QSI. NL has developed an in-situ system, the Impedance Noise Identification (INI) method of using a random signal excitation to a battery for the purpose of measuring the spectrum of the battery impedance; it is high resolution but not real time. Montana Tech and QSI developed an in-situ system, Compensated Synchronous Detection (CSD) that is very near real time but trades off resolution for speed of measurement. New developments with CSD hold promise of an even faster and more accurate response. A new measurement and data processing technique has been developed, Fast Summation Transformation (FST). The FST technique uses a mathematical uniqueness similar to what was realized with the Fast Fourier Transform (FFT) to enable crosstalk elimination, speed of measurement, and speed of data processing. A prototype hardware system that is compatible with both the INI or CSD algorithms is now under development. Test results are continuously being compared to standardized measurement techniques such as electrochemical impedance spectroscopy. It is expected that the FST algorithm will be fully compatible with this hardware platform. This paper develops the theory of the algorithm and analytically validates it with computer simulations.

关键词： Real time systems Battery charge measurement Hardware Impedance measurement Crosstalk signal resolution Velocity measurement Data processing Testing Energy storage

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