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2022 International Conference on Smart Systems and Power Management, IC2SPM 2022

作者： Zeine, Carla Daou, Roy Abi Zeid Telawi, Samer Boercsoek, Josef Hayek, Ali Haidar, Gaby Abou University of Kassel Faculty of Electrical Engineering /Computer Science Department of Computer Architecture and System Programming Kassel Germany Lebanese German University Faculty of Public Health Jounieh Department of Computer Architecture and System Programming Biomedical Technologies Department Jounieh Lebanon Université la Sagesse Faculty of Engineering Furn El Chebbak Mechatronics Department Beirut Lebanon University of Applied Science Hamm-Lippstadt Department Lippstadt 2 Hardware Engineering Marker Allee 76-78 Hamm59063 Germany American University of Science and Technology Faculty of Engineering Zahle Lebanon

ISBN: (数字)9781665452915

ISBN: (纸本)9781665452915

Integrating electrophysiological signals in larger systems is getting wider due to the fact that such modalities facilitate the daily tasks of users. However, the high cost of monitoring systems (e.g., oscilloscopes) limits the testing and analysis of the acquired signal from such noisy systems (i. e., electrophysiological devices). The proposed system is a part of a larger proj ect that deals with the identification of sign language movements through the use of Muscle-computer Interfaces. On one hand, the user is able to display the signal acquired by the electrodes on an LCD screen. On the other hand, the system helps a mute patient to issue a special message to his surrounding environment that does not know the sign language to ask for help. The second feature is not unique, as it can be replaced by any other application based on the user's needs. The system was tested on several persons, and the results are promising. © 2022 IEEE.

关键词： Liquid crystal displays

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Coordinating particle swarm optimization, ant colony optimization and k-opt algorithm for traveling salesman problem 3rd

Coordinating particle swarm optimization, ant colony optimiz...

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3rd International Conference on Mathematics and Computing, ICMC 2017

作者： Khan, Indadul Maiti, Manas Kumar Maiti, Manoranjan Department of Computer Science Chandrakon Vidyasagar Mahavidyalaya Paschim-Medinipur West Bengal721201 India Department of Mathematics Mahishadal Raj College Mahishadal Purba-MedinipurWest Bengal721628 India Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Paschim-Medinipur West Bengal India

ISBN: (纸本)9789811046414

In this paper combining the features of swap sequence and swap operation based Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) and K-Opt operation a hybrid algorithm is proposed to solve well known Traveling Salesman Problem (TSP). Interchange of two cities of a path of a TSP is known as swap operation and a sequence of such operations is called swap sequence. Using swap operation and swap sequence PSO operations are redefined to solve TSP. Here ACO is used a small number of iterations to generate initial swarm of PSO. Then PSO operations are made on this swarm a sufficient number of times to find optimal path. During PSO iterations if a particle does not change its position for a predefined number of iterations then K-Opt operation is made on it a finite number of times to improve its position. The algorithm is tested with bench mark test problems from TSPLIB and it is observed that algorithm is more efficient with respect to accuracy as well as execution time to solve standard TSPs (Symmetric as well as Asymmetric) compared to existing algorithms. Details of the proposed algorithm along with swap operation, swap sequence and K-opt operation for the algorithm are elaborately discussed for the readers. © Springer Nature Singapore Pte Ltd. 2017.

关键词： Ant colony optimization

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Signal-to-symbol transformation: Reasoning in the HASP/SIAP program

Signal-to-symbol transformation: Reasoning in the HASP/SIAP ...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： H. Nii Heuristic Programming Project Computer Science Department University of Stanford USA

In the past fifteen years, artificial intelligence scientists have built several signal interpretation, or understanding, programs. These programs have combined "low" level signal processing algorithms with knowledge representation and reasoning techniques used in knowledge-based, or expert, systems. [4] They have shown how the use of task domain knowledge combined with symbolic manipulation techniques can be of use in making signal understanding systems more effective and efficient. HASP/SIAP is one such program that tries to interpret the meaning of passively collected sonar data. In this paper we explore some of the AI techniques that contribute in the "understanding" process. We also describe the organization of HASP/SIAP system as an example of a programming framework that show promise for applications in a class of similar problems.

关键词： Marine vehicles Sonogram Frequency Oceans Displays Sea measurements Acoustic noise Sonar equipment Monitoring Propellers

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Development of safety related systems

Development of safety related systems

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International Forum on Strategic Technology, IFOST

作者： Josef Burcsuk Department of Computer Architecture and System Programming University of Kassel Kassel Germany

ISBN: (纸本)9781424435890

The international standard IEC/61508 provides the developer with guidelines for the design and implementation of safety related systems according to this standard. This standard states qualitative and quantitative criteria in order to judge a safety related system in such a way that safety critical applications can be implemented. This paper details a quantitative criterion which is the probability of failure on low demand, known as PFD. After an introduction into this topic, the principle steps to calculate the probability of failure with the help of reliability block diagrams for different hardware architecture will be detailed and presented. The PFD-equations will be derived for a 1oo1 architecture with the help of MacLaurin series.

关键词： IEC standards Software safety Phase frequency detector Standards development Hardware Guidelines Probability Software standards Maintenance Electrical safety

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AN OPTIMAL ALGORITHM FOR SOLVING ALL-PAIRS SHORTEST PATHS ON TRAPEZOID GRAPHS

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International Journal of Computational Engineering Science 2002年第2期3卷 103-116页

作者： SUKUMAR MONDAL MADHUMANGAL PAL TAPAN K. PAL Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Midnapore - 721 102 West Bengal India

The shortest-paths problem is an important problem in graph theory and finds diverse applications in various fields. This is why shortest path algorithms have been designed more thoroughly than any other algorithm in graph theory. A large number of optimization problems are mathematically equivalent to the problem of finding shortest paths in a graph. The Shortest-path between a pair of vertices is defined as the path with shortest length between the pair of vertices. The shortest path from one node to another often gives the best way to route message between the nodes. This paper presents an O(n 2 ) time algorithm for solving all pairs shortest path problems on trapezoid graphs which are extensions of interval graphs and permutation graphs. The space complexity of this algorithm is of O(n 2 ). This problem has been solved by constructing n breadth-first search (BFS) trees with each of the n vertices as root. As the lower bound of time complexity for computing the all pairs shortest paths is known to be of O(n 2 ), this proposed algorithm is optimal.

关键词： Design of algorithms analysis of algorithms breadth-first search shortest-paths trapezoid graph

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Method of Activity of Intelligent Agent for Semantic Analysis of Software Requirements

Method of Activity of Intelligent Agent for Semantic Analysi...

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IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems

作者： Olga Pavlova Tetiana Hovorushchenko Artem Boyarchuk System Programming Department of Khmelnytsky National University Computer Engineering & System Programming Department of Khmelnytsky National University Lecturer of Computer Systems Networks and Cybersecurity Department of National Aerospace University "Kharkiv Aviation Institute"

ISBN: (纸本)9781728140704

The paper deals with the development of the method of activity and the realization of the intelligent agent (IA) for semantic analysis of the natural language software requirements. This IA performs the analysis of the requirements, determines the number and percentage of missing indicators for determining the metrics of complexity and quality of software, displays which indicators are missing for each metric, and also forms the real ontology of the domain "Software Engineering" (part "Quality and complexity of software. Metric analysis"). During an experiment, which is conducted with the help of the realized IA, the semantic analysis of requirements for the Internet of Things (IoT)-system was performed. Such analysis provides an increase of the volume and ensures of the sufficiency of metric information in the software requirements, which, in turn, provides an improvement in the quality of the software of IoT-system.

关键词： Natural language software requirements Semantic analysis Intelligent agent (IA) Ontology-based intelligent agent (OBIA) Internet of things (IoT)-system software requirements Intelligent agents Semantics Metronidazole activity INFORMATION ASSURANCE Metric computer software

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Good error correcting output codes for adaptive multiclass learning

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4th International Workshop on Multiple Classifier Systems, MCS 2003

作者： Tapia, Elizabeth González, José Carlos García-Villalba, Javier Department of Electrical Engineering National Univ. of Rosario Argentina Department of Telematics Engineering Technical Univ. of Madrid Spain Department of Computer Systems and Programming Complutense Univ. of Madrid Spain

ISBN: (纸本)3540403698

In recent work, we introduced a generalization of ECOC learning under the theory of recursive error correcting codes. We named it RECOC (Recursive ECOC) learning. If long output codewords are allowed, as in the case of problems involving a large number of classes, standard recursive codes such as LDPC or Turbo can be used. However, if the number of classes is moderated, neither good LDPC nor Turbo codes might exist due to the small block lengths involved. In this paper, RECOC learning based on the recently introduced ensemble of Product Accumulated codes is analyzed. Due to their native data storage oriented design, smaller block lengths are allowed. In addition, because of their simplicity, all key concepts regarding RECOC learning can be easily explained. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Digital storage

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A study on bipolar fuzzy planar graph and its application in image shrinking

A study on bipolar fuzzy planar graph and its application in...

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作者： Pramanik, Tarasankar Pal, Madhumangal Mondal, Sukumar Samanta, Sovan Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Midnapore721102 India Department of Mathematics Raja N. L. Khan Women's College Midnapore India Department of Mathematics Tamralipta Mahavidyalaya Tamluk India

In this paper, bipolar fuzzy planar graph is defined and studied several properties. The bipolar fuzzy planar graph is defined in a very interesting way. The parameter "degree of planarity" measures the planarity of a bipolar fuzzy graph. The other relevant terms such as strong edges, bipolar fuzzy faces, strong bipolar fuzzy faces are defined here. A very close association of bipolar fuzzy planar graph is bipolar fuzzy dual graph. This is also defined and several properties of it are studied. Bipolar fuzzy planar graph and bipolar fuzzy dual graph have many applications in different fields including design of social network, design of subway tunnel or routes, gas or oil pipelines, image segmentation, etc. © 2018 - IOS Press and the authors. All rights reserved.

关键词： Image segmentation

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Software Anomaly Detection Method Based on Artificial Neural Network

Software Anomaly Detection Method Based on Artificial Neural...

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IEEE International Conference on e-Business Engineering (ICEBE)

作者： Veska Gancheva Department of Programming and Computer Technologies Faculty of Computer Systems and Technologies Technical University of Sofia Sofia Bulgaria

ISBN: (数字)9798350365856

ISBN: (纸本)9798350365863

A growing range of data sets have been created in recent years; these are used by platforms and software applications and kept in remote access repositories. Datasets are therefore more susceptible to harmful attacks. As a result, network security in data transmission is becoming a more important area of study. One well-known method for safeguarding computer systems is the deployment of intrusion detection systems. This study proposes an artificial intelligence based method for data analysis-based anomaly detection. Methods based on machine learning and rules are mixed together. The right rules are created via a genetic algorithm. Relevant features are extracted using principal component analysis with the goal of enhancing performance. The KDD Cup 1999 dataset is used to empirically validate the suggested procedure, satisfying the criterion of using appropriate data. Using the well-known benchmark dataset, the suggested approach is used to identify and examine four different kinds of attacks: Neptune, Ipsweep, Pod, and Teardrop. During the machine learning phase, the data is categorized into categories of attacks and normal behavior after the features set during the training phase are tested. For the purpose of data analysis, the input data is divided into training and testing sets for an artificial neural network. The first 80% of the data are used to train the neural network, and the remaining 20% are used for testing. The estimated accuracy improves with the number of epochs and is higher for training data and lower for validation test data, according to experimental results. Consequently, the trained model can be retained and used to detect discrepancies. The learnt model is used to the system to compute new input parameters that are not used during training or validation.

关键词： Training Accuracy Predictive models Network security Feature extraction Data structures Data models Software Anomaly detection Principal component analysis

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Communication related design considerations of WSN-aided Multi-Robot SLAM

Communication related design considerations of WSN-aided Mul...

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IEEE International Conference on Mechatronics

作者： Tuna, Gurkan Gulez, Kayhan Gungor, V. Cagri Trakya University Vocational College of Technical Sciences Department of Computer Programming Edirne Turkey Yildiz Technical University Electrical-Electronics Eng. Faculty Control and Automation Eng. Dept. Istanbul Turkey Bahcesehir University Department of Computer Engineering Besiktas Istanbul Turkey

ISBN: (纸本)9781612849836

This paper presents the communication related design considerations of Wireless Sensor Network (WSN) aided Multi-Robot Simultaneous Localization and Mapping (SLAM). In this approach, multiple robots perform WSN-aided cooperative SLAM using only range values to landmarks in the environment by measuring the Received Signal Strength Indicator (RSSI) of the received radio messages, and odometry information. The SLAM algorithm proposed in this study uses the Rao-Blackwellized Particle Filters. In addition, the inherent communication problems in WSNs, and their effects on cooperative SLAM are explained in detail and shown with the results of The Network Simulator (ns-2) simulations. © 2011 IEEE.

关键词： Wireless sensor networks

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