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5th International Workshop on Intelligent Solutions in Embedded Systems, WISES 07

作者： Luján-Martínez, Carlos Linares-Barranco, Alejandro Rivas-Pérez, Manuel Jiménez-Fernández, Ángel Jiménez-Moreno, Gabriel Civit-Balcells, Antón Computer Architecture and Technology Department University of Seville Seville Spain

ISBN: (纸本)9788489315471

There is an emerging philosophy, called Neuro-informatics, contained in the Artificial Intelligence field, that aims to emulate how living beings do tasks such as taking a decision based on the interpretation of an image by emulating spiking neurons into VLSI designs and, therefore, trying to re-create the human brain at its highest level. Address-Event-Representation (AER) is a communication protocol that has embedded part of the processing. It is intended to transfer spikes between bioinspired chips. An AER based system may consist of a hierarchical structure with several chips that transmit spikes among them in real-time, while performing some processing. There are several AER tools to help to develop and test AER based systems. These tools require the use of a computer to allow the higher level processing of the event information, reaching very high bandwidth at the AER communication level. We propose the use of an embedded platform based on a multi-task operating system to allow both, the AER communication and processing without the requirement of either a laptop or a computer. In this paper, we present and study the performance of a new philosophy of a frame-grabber AER tool based on a multi-task environment. This embedded platform is based on the Intel XScale processor which is governed by an embedded GNU/Linux system. We have connected and programmed it for processing Address-Event information from a spiking generator.

关键词： Image reconstruction

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Joint high-resolution feature learning and vessel-shape aware convolutions for efficient vessel segmentation

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computers in Biology and Medicine 2025年 191卷 109982-109982页

作者： Zhang, Xiang Zhu, Qiang Hu, Tao Guo, Song Bian, Genqing Dong, Wei Hong, Rao Lin, Xia Ling Wu, Peng Zhou, Meili Yan, Qingsen Mohi-ud-din, Ghulam Ai, Chen Li, Zhou College of Information and Control Engineering Xi'an University of Architecture and Technology Xi'an China Shaanxi Provincial Key Lab of Bigdata of Energy and Intelligence Processing School of Physics and Electronic Information Yanan University Yanan China School of Computer Science and Engineering Northwestern Polytechnical University Xi'an China School of Software Nanchang University Nanchang China School of Cyber Security Zhejiang University Hangzhou China Department of Basic Education and Research Jiangxi Police College Nanchang China Northwestern Polytechnical University China

Clear imagery of retinal vessels is one of the critical shreds of evidence in specific disease diagnosis and evaluation, including sophisticated hierarchical topology and plentiful-and-intensive capillaries. In this work, we propose a new topology- and shape-aware model named Multi-branch Vessel-shaped Convolution Network (MVCN) to adaptively learn high-resolution representations from retinal vessel imagery and thereby capture high-quality topology and shape information thereon. Two steps are involved in our pipeline. The former step is proposed as Multiple High-resolution Ensemble Module (MHEM) to enhance high-resolution characteristics of retinal vessel imagery via fusing scale-invariant hierarchical topology thereof. The latter is a novel vessel-shaped convolution that captures the retinal vessel topology to emerge from unrelated fundus structures. Moreover, our MVCN of separating such topology from the fundus is a dynamical multiple sub-label generation via using epistemic uncertainty, instead of manually separating raw labels to distinguish definitive and uncertain vessels. Compared to other existing methods, our method achieves the most advanced AUC values of 98.31%, 98.80%, 98.83%, and 98.65%, and the most advanced ACC of 95.83%, 96.82%, 97.09%,and 96.66% in DRIVE, CHASE_DB1, STARE, and HRF datasets. We also employ correctness, completeness, and quality metrics to evaluate skeletal similarity. Our method's evaluation metrics have doubled compared to previous methods, thereby demonstrating the effectiveness thereof. © 2025 Elsevier Ltd

关键词： Ophthalmology

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The sandpile mutation operator for genetic algorithms

The sandpile mutation operator for genetic algorithms

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5th International Conference on Learning and Intelligent Optimization, LION 2011

作者： Fernandes, C.M. Laredo, J.L.J. Mora, A.M. Rosa, A.C. Merelo, J.J. Department of Architecture and Computer Technology University of Granada Spain Portugal

ISBN: (纸本)9783642255656

This paper describes an alternative mutation control scheme for Genetic Algorithms (GAs) inspired by the Self-Organized Criticality (SOC) theory. The strategy, which mimics a SOC system known as sandpile, is able to generate mutation rates that, unlike those given by other methods of adaptive parameter control, oscillate between very low values and cataclysmic mutations. In order to attain the desired behaviour, the sandpile is not just attached to a GA;it is also modified in an attempt to link its rates to the stage of the search, i.e., the fitness distribution of the population. Due to its characteristics, the sandpile mutation arises as a promising candidate for efficient and yet simple and context-independent approach to dynamic optimization. An experimental study confirms this assumption: a GA with sandpile mutation outperforms a recently proposed SOC-based GA for dynamic optimization. Furthermore, the proposed method does not increase traditional GAs' parameter set. © Springer-Verlag Berlin Heidelberg 2011.

关键词： Genetic algorithms

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Fake News Classification: Past, Current, and Future

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computers, Materials & Continua 2023年第11期77卷 2225-2249页

作者： Muhammad Usman Ghani Khan Abid Mehmood Mourad Elhadef Shehzad Ashraf Chaudhry Department of Computer Science University of Engineering and TechnologyLahore54890Pakistan Department of Computer Science&Information Technology Abu Dhabi UniversityAbu Dhabi59911United Arab Emirates Department of Software Engineering Faculty of Engineering and ArchitectureNisantasi UniversityIstanbulTurkey

The proliferation of deluding data such as fake news and phony audits on news web journals,online publications,and internet business apps has been aided by the availability of the web,cell phones,and social *** can quickly fabricate comments and news on social *** most difficult challenge is determining which news is real or ***,tracking down programmed techniques to recognize fake news online is *** an emphasis on false news,this study presents the evolution of artificial intelligence techniques for detecting spurious social media *** study shows past,current,and possible methods that can be used in the future for fake news *** different publicly available datasets containing political news are utilized for performing *** supervised learning algorithms are used,and their results show that conventional Machine Learning(ML)algorithms that were used in the past perform better on shorter text *** contrast,the currently used Recurrent Neural Network(RNN)and transformer-based algorithms perform better on longer ***,a brief comparison of all these techniques is provided,and it concluded that transformers have the potential to revolutionize Natural Language Processing(NLP)methods in the near future.

关键词： Supervised learning algorithms fake news classification online disinformation transformers recurrent neural network(RNN)disinformation transformers recurrent neural network(RNN)

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Reliable Code Generation and Test Environment demonstrated on a PI-Controller Design

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IFAC-PapersOnLine 2016年第3期49卷 465-470页

作者： Schwarz, M.H. Sheng, H. Üstoglu, I. Chabaan, W. Börcsök, J. Safety Computer Technology University of Kassel Germany Control and Automation Engineering Department Yildiz Technical University Istanbul Turkey Computer Architecture and System Programming University of Kassel Germany

This paper focuses on the latest version of a tool developed within the department to guide developer through the various steps of requirements, test-procedures and documentations to finally download the derived algorithm on a safety programmable logic controller (PLC). Requirements on how to develop and how to test software are steadily increasing due to international standards, which have to be obeyed in industries in general, and in the process- and automation industries in particular. A simple model is derived to be used to develop a PI controller that has to pass several steps to be qualified for execution on a PLC. The paper explains the different steps and describes the various problems that might occur. © 2016

关键词： Controllers Accident prevention Reliability Software testing Automated code generation Automation industry International standards P i controller designs PI control Programmable Logic Controller (PLC) Simple modeling Test Environment

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Use of ANNs as classifiers for selective attention brain-computer interfaces

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9th International Work-Conference on Artificial Neural Networks, IWANN 2007

作者： López, Miguel Ángel Pomares, Héctor Damas, Miguel Madrid, Eduardo Prieto, Alberto Pelayo, Francisco De La Plaza Hernández, Eva María Department of Computer Architecture and Computer Technology University of Granada Department of Experimental Psychology and Physiology of Behavior University of Granada

ISBN: (纸本)9783540730064

Selective attention to visual-spatial stimuli causes decrements of power in alpha band and increments in beta. For steady-state visual evoked potentials (SSVEP) selective attention affects electroencephalogram (EEG) recordings, modulating the power in the range 8-27 Hz. The same behaviour can be seen for auditory stimuli as well, although for auditory steady-state response (ASSR), it is not fully confirmed yet. The design of selective attention based brain-computer interfaces (BCIs) has two major advantages: First, no much training is needed. Second, if properly designed, a steady-state response corresponding to spectral peaks can be elicited, easy to filter and classify. In this paper we study the behaviour of ANNs as classifiers for a selective attention to auditory stimuli based BCI system. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Neural networks

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Automatic classification of prostate cancer using pseudo-gaussian radial basis function neural network

Automatic classification of prostate cancer using pseudo-gau...

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13th European Symposium on Artificial Neural Networks, ESANN 2005

作者： Valenzuela, O. Rojas, I. Rojas, F. Marquez, L. Department of Applied Mathematic University of Granada Spain Department of Computer Architecture and Computer Technology University of Granada Spain

ISBN: (纸本)2930307056

Recent advances in multimedia and image processing techniques can be utilized to assist pathologists in this respect. In fact, many investigators believe that automation of prostate cancer analysis increases the rate of early detection. In this paper, we will propose an automatic procedure for prostate cancer light micrograph based on soft-computing technique, for image interpretation, with increased accuracy. We propose a feature subset selection algorithm that selects the most important features, used by a pseudo-gaussian radial basis function neural networks to classify the prostate cancer light micrograph. A high classification rate has been achieved which will reduce the subjective human invention and will increase the diagnostic speed.

关键词： Diseases

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Evaluation of parallel EDAs to create chemical calibration models

Evaluation of parallel EDAs to create chemical calibration m...

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e-Science 2006 - 2nd IEEE International Conference on e-Science and Grid Computing

作者： Mendiburu, A. Miguel-Alonso, J. Lozano, J.A. Department of Computer Architecture and Technology Department of Computer Science and Artificial Intelligence University of the Basque Country Gipuzkoa Spain

ISBN: (纸本)0769527345

Estimation of Distribution Algorithms (EDAs) are a set of optimization techniques that have been successfully applied to different kinds of problems. In this paper, we deal with the creation of multivariate calibration models in quantitative chemistry. For this purpose, we use parallel implementations of two EDAs (EBNABIC and UMDA), using different approaches to create a calibration model using data obtained from controlled reactions. Once the calibration model has been trained, it can be used to predict initial concentrations for some species taking part in new reactions. The results show that these new approaches are able to obtain good-quality calibration models. Moreover, the use of parallel algorithms allows researchers to complete experiments faster and to study a wider set of alternative solutions. © 2006 IEEE.

关键词： Parallel algorithms

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Theoretical Treatment of Target Coverage in Wireless Sensor Networks

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Journal of computer Science & technology 2011年第1期26卷 117-129页

作者：谷雨赵保华计宇生李颉 School of Computer Science University of Science and Technology of China State Key Laboratory of Networking and Switching Technology Information Systems Architecture Science Research Division National Institute of InformaticsTokyoJapan Department of Computer Science University of TsukubaTsukuba Science CityIbarakiJapan

The target coverage is an important yet challenging problem in wireless sensor networks, especially when both coverage and energy constraints should be taken into account. Due to its nonlinear nature, previous studies of this problem have mainly focused on heuristic algorithms; the theoretical bound remains unknown. Moreover, the most popular method used in the previous literature, i.e., discretization of continuous time, has yet to be justified. This paper fills in these gaps with two theoretical results. The first one is a formal justification for the method. We use a simple example to illustrate the procedure of transforming a solution in time domain into a corresponding solution in the pattern domain with the same network lifetime and obtain two key observations. After that, we formally prove these two observations and use them as the basis to justify the method. The second result is an algorithm that can guarantee the network lifetime to be at least （1 - ε） of the optimal network lifetime, where ε can be made arbitrarily small depending on the required precision. The algorithm is based on the column generation （CG） theory, which decomposes the original problem into two sub-problems and iteratively solves them in a way that approaches the optimal solution. Moreover, we developed several constructive approaches to further optimize the algorithm. Numerical results verify the efficiency of our CG-based algorithm.

关键词： target coverage wireless sensor networks time-dependent solution pattern-based solution column generation

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The design and implementation of the TRIPS prototype chip 17

The design and implementation of the TRIPS prototype chip

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17th IEEE Hot Chips Symposium, HCS 2005

作者： McDonald, Robert Burger, Doug Keckler, Steve Computer Architecture and Technology Laboratory Department of Computer Sciences E University of Texas at Austin United States

ISBN: (纸本)9781467388641

This article consists of a collection of slides from the authors' conference presentation. They conclude that: distributed microarchitecture acknowledges and tolerates wire delay and scalable protocols tailored for distributed components. Tiled microarchitecture simplifies scalability and improves design productivity. The next step for instruction-level parallelism is EDGE ISA enables increased ILP while also exploiting coarser types of parallelism. © 2005 IEEE.

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