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4th IASTED International Conference on Web-Based Education, WBE 2005

作者： Adamopoulou, Poulia Kanellopoulos, Dimitrios Sakkopoulos, Evangelos Tsakalidis, Athanasios Computer Engineering and Informatics Dept. University of Patras 26500 Patras Greece Research Academic Computer Technology Institute 61 Riga Feraiou Str. 26110 Patras Greece Electrical Engineering and Computer Technology Dept University of Patras 26500 Patras Greece

ISBN: (纸本)0889864802

In science learning, cognitive concepts that are distinguished for the complexity of their structure and operation can be understood by using successful metaphors. Conventional instruction is ineffective in dealing with misconceptions. We propose a semantic learning interventions management system that utilizes web services technology. The proposed system aims to be an integrated educational solution that offers interoperable, web service-based, cross-platform learning services. It extends the available educational logic and content by publishing and consuming educational web services. Additionally, the combination of Web Services and Semantic Web offers sophisticated capabilities including automated discovery, composition, invocation, and monitoring.

关键词： Web services

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Emotion Recognition from Video Frame Sequence using Face Mesh and Pre-Trained Models of Convolutional Neural Network 24

Emotion Recognition from Video Frame Sequence using Face Mes...

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24th International Seminar on Intelligent technology and Its Applications, ISITIA 2023

作者： Adi, Derry Pramono Yuniarno, Eko Mulyanto Wulandari, Diah Puspito Institut Teknologi Sepuluh Nopember Faculty of Intelligent Electrical and Informatics Technology Dept. of Electrical Engineering Surabaya Indonesia Institut Teknologi Sepuluh Nopember Faculty of Intelligent Electrical and Informatics Technology Dept. of Electrical Engineering Dept. of Computer Engineering Surabaya Indonesia Institut Teknologi Sepuluh Nopember Faculty of Intelligent Electrical and Informatics Technology Dept. of Computer Engineering Surabaya Indonesia

ISBN: (纸本)9798350313956

Emotions are a collection of subjective cognitive experiences and psychological and physiological characteristics that express a wide range of feelings, thoughts, and behaviors in human interaction. Emotions can be represented through several means, such as facial expressions, tone of voice, and behavior. Deep Learning (DL) research has focused on incorporating facial expressions. Images with facial expressions are commonly used as data input for the DL model. Unfortunately, most DL models in Facial Emotion Recognition (FER) use static images. This method does not take into consideration all conceivable facial expressions. The static image of facial expressions is insufficient for recognizing emotions, but a sequential image from a video is required. In this study, we extract MediaPipe's face mesh feature, the state-of-the-art multidimensional expression key points embedded in the video image sequence. Furthermore, we feed sequence image data into the pre-trained Convolutional Neural Network (CNN) model. The data we used is from The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) with the emotion classes of 'Anger,' 'Fearful,' 'Happy,' and 'Sad.' For this specific FER task, we found that the best pre-trained CNN model achieved 92.8% accuracy (using the VGG-19 model), with the fastest runtime of ∼2.3 seconds (achieved using the SqueezeNet model). © 2023 IEEE.

关键词： Emotion Recognition

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Optimization of address-based data sorting unit with external memory support

Optimization of address-based data sorting unit with externa...

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14th International Conference on computer Systems and Technologies, CompSysTech 2013

作者： Mihhailov, Dmitri Rjabov, Artjem Sklyarov, Valery Skliarova, Iouliia Sudnitson, Alexander Dept. of Computer Engineering Tallinn University of Technology Estonia Dept. of Electronics Telecommunications and Informatics University of Aveiro Portugal

ISBN: (纸本)9781450320214

Among numerous data processing tasks sorting is considered to be one of the most important. Sorting still poses a big challenge as it actually becomes harder to solve this problem efficiently and fast with the constant demand for processing of larger and larger data sets in a reasonable amount of time. Reconfigurable computing provides an attractive option for implementation of data processing in the context of hardware, as the use of Field Programmable Gate Arrays (FPGAs) allows to eliminate the design constraints of processors and graphics processing units (GPUs) with predefined architectures. In this paper a technique that improves the performance of the address-based data sorting unit with an external DDR3 flag memory is proposed. It is demonstrated that the proposed technique can efficiently reduce the communication penalties associated with the use of external memory. © 2013 ACM.

关键词： Graphics processing unit

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GRAL: A grouping algorithm to optimize application placement in wireless embedded systems

GRAL: A grouping algorithm to optimize application placement...

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25th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2011

作者： Tziritas, Nikos Loukopoulos, Thanasis Lalis, Spyros Lampsas, Petros Center for Research and Technology Thessaly Volos Greece Dept. of Computer and Communication Engineering Univ. of Thessaly Volos Greece Dept. of Informatics and Computer Technology TEI of Lamia Lamia Greece

ISBN: (纸本)9780769543857

Recent embedded middleware initiatives enable the structuring of an application as a set of collaborating agents deployed in the various sensing/actuating entities of the system. Of particular importance is the incurred cost due to agent communication which in terms depends on agent positions in the system. In this paper we present GRAL a grouping algorithm that migrates groups of agents with the aim of minimizing communication. The algorithm works in a distributed fashion based on knowledge available locally at each node and can be used both for one-shot initial application deployment and for the continuous updating of agent placement. Through simulation experiments under various scenarios we evaluate the algorithm, comparing the solution quality reached against the optimal obtained from exhaustive search. © 2011 IEEE.

关键词： Embedded systems

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Learning algorithm and application of quantum BP neural networks based on universal quantum gates

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Journal of Systems engineering and Electronics 2008年第1期19卷 167-174页

作者： Li Panchi Li Shiyong Dept. of Control Science and Engineering Harbin Inst. of Technology Harbin 150001 P. R. China Dept. of Computer Science and Engineering Daqing Petroleum Inst. Daqing 163318 P. R. China

A quantum BP neural networks model with learning algorithm is proposed. First, based on the universality of single qubit rotation gate and two-qubit controlled-NOT gate, a quantum neuron model is constructed, which is composed of input, phase rotation, aggregation, reversal rotation and output. In this model, the input is described by qubits, and the output is given by the probability of the state in which （1） is observed. The phase rotation and the reversal rotation are performed by the universal quantum gates. Secondly, the quantum BP neural networks model is constructed, in which the output layer and the hide layer are quantum neurons. With the application of the gradient descent algorithm, a learning algorithm of the model is proposed, and the continuity of the model is proved. It is shown that this model and algorithm are superior to the conventional BP networks in three aspects： convergence speed, convergence rate and robustness, by two application examples of pattern recognition and function approximation.

关键词： quantum computing universal quantum gate quantum neuron quantum neural networks

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DSAPE - Dynamic Security Awareness Program Evaluation

DSAPE - Dynamic Security Awareness Program Evaluation

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2nd International Conference on Human Aspects of Information Security, Privacy, and Trust, HAS 2014 - Held as Part of 16th International Conference on Human-computer Interaction, HCI International 2014

作者： Manifavas, Charalampos Fysarakis, Konstantinos Rantos, Konstantinos Hatzivasilis, George Dept. of Informatics Engineering Technological Educational Institute of Crete Heraklion Crete Greece Dept. of Electronic and Computer Engineering Technical University of Crete Chania Crete Greece Dept. of Computer and Informatics Engineering Eastern Macedonia and Thrace Institute of Technology Kavala Greece

ISBN: (纸本)9783319076195

This paper addresses the importance of continuously evaluating an organization's awareness program and provides guidelines that will help organizations assess their efforts, extending the authors' work in [1]. The proposed methodology evaluates an awareness program considering the most common and essential methods used for delivering awareness material. Key awareness-related processes and accompanying quantitative metrics are identified, along with a methodology for dynamically evaluating the metrics and the overall awareness program as a whole. A software tool is developed, to facilitate the deployment and maintenance of the assessment methods and to formalize their aggregation and evaluation. An organization's security awareness posture is modelled as a dynamic system and the awareness level is calculated and monitored through time via Event Calculus. Furthermore, the tool can be deployed in a multi-agent form, to enable its use by organizations operating through remote offices and distributed locations. © 2014 Springer International Publishing.

关键词： Calculations

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Grover quantum searching algorithm based on weighted targets

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Journal of Systems engineering and Electronics 2008年第2期19卷 363-369页

The current Grover quantum searching algorithm cannot identify the difference in importance of the search targets when it is applied to an unsorted quantum database, and the probability for each search target is equal. To solve this problem, a Grover searching algorithm based on weighted targets is proposed. First, each target is endowed a weight coefficient according to its importance. Applying these different weight coefficients, the targets are represented as quantum superposition states. Second, the novel Grover searching algorithm based on the quantum superposition of the weighted targets is constructed. Using this algorithm, the probability of getting each target can be approximated to the corresponding weight coefficient, which shows the flexibility of this algorithm. Finally, the validity of the algorithm is proved by a simple searching example.

关键词： Grover algorithm targets weighting quantum searching quantum computing.

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Combining Scala with C++ for efficient scientific computation in the context of ScalaLab

Combining Scala with C++ for efficient scientific computatio...

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World Congress on engineering 2016, WCE 2016

作者： Papadimitriou, Stergios Moussiades, Lefteris Technology Education Institute of East Macedonia and Thraki Dept of Informatics and Computer Engineering Agios Loukas Kavala65404 Greece

ISBN: (纸本)9789881925305

ScalaLab is a MATLAB-like environment for the Java Virtual Machine (JVM). ScalaLab is based on the Scala programming language. It utilizes an extensive set of Java and Scala scientific libraries and also has access to many native C/C++ scientific libraries by using mainly the Java Native Interface (JNI). The performance of the JVM platform is continuously improved at a fast pace. Today JVM can effectively support demanding high-performance computing and scales well on multicore platforms. However, sometimes optimized native C/C++ code can yield even better performance. That code can exploit the peculiarities of the hardware architecture and of special parallel hardware, as for example Graphical Processing Units. The present work reports some of the experience that we gained with experiments with both JITed JVM code and native code. We compare some aspects of Scala and C++ that concern the requirements of scientific computing. The article describes how ScalaLab tries to combine the best features of the Java Virtual Machine with those of the C/C++ technology, in order to implement an effective scientific computing environment.

关键词： MATLAB

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Pigmented skin lesions classification using convolutional neural networks

Pigmented skin lesions classification using convolutional ne...

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2019 International Conference on Biomedical Innovations and Applications, BIA 2019

作者： Naronglerdrit, Prasitthichai Mporas, Iosif Perikos, Isidoros Paraskevas, Michael Kasetsart University Sriracha Campus Dept. of Computer Engineering Chonburi Thailand University of Hertfordshire Dept. of Engineering Hatfield United Kingdom University of Patras Computer Engineering and Informatics Dept. Patras Greece Computer Technology Institute and Press 'Diophantus Patras Greece University of Peloponnesse Dept. of Electrical and Computer Engineering Patras Greece

ISBN: (纸本)9781728147543

In this paper we present an architecture for classification of pigmented skin lesions from dermatoscopic images. The architecture is using image pre-processing for natural hair removal and image segmentation for extraction of the skin lesion area. The segmented images were processed by a convolutional neural network classifier. The training process was done by using the Keras and TensorFlow python packets with CUDA supported. The best performance was achieved by a convolutional neural network architecture with three convolution layers and the classification accuracy was equal to 76.83%. © 2019 IEEE.

关键词： Image classification

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A comparative evaluation of core kernel features of the recent Linux, FreeBSD, solaris and windows operating systems

A comparative evaluation of core kernel features of the rece...

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World Congress on engineering 2016, WCE 2016

作者： Papadimitriou, Stergios Moussiades, Lefteris Technology Education Institute of East Macedonia and Thraki Dept of Informatics and Computer Engineering Agios Loukas Kavala65404 Greece

ISBN: (纸本)9789881925305

The paper compares core kernel architecture and functionality of four modern operating systems. The subsystems examined are process/thread architecture, scheduling and interrupt handling. Linux, Solaris and FreeBSD have a lot of similarities, owning Unix roots, but also have some notable differences. However, Windows is significantly different, being a radical non-Unix design. The paper compares some aspects of the Unix-like approaches of Linux/Solaris/FreeBSD with Windows, emphasizing the consequences of their different design decisions, and presents some comparative performance results, using Java benchmarks.

关键词： Linux

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