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AMBIGUITIES AND INSECURITIES IN PASCAL

SOFTWARE-PRACTICE & EXPERIENCE 1977年第6期7卷 685-696页

作者： WELSH, J SNEERINGER, WJ HOARE, CAR Department of Computer Science Queen's University Belfast BT7 1NN N. Ireland Address from October 1977: Programming Research Group Oxford University 45 Banbury Road Oxford.

Ambiguities and insecurities in the programming language Pascal are discussed.

关键词： Pascal Language design Language definition Security

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Fuzzy vs neural network models for environmental decision support system implementation aiming to standardise the multiparametric decision in a Drinking Water Plant with Electrodialysis Reversal 8

Fuzzy vs neural network models for environmental decision su...

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8th International Congress on Environmental Modelling and Software - Environmental Modelling and Software for Supporting a Sustainable Future, iEMSs 2016

作者： Dalmau, Montse Monclús, Hèctor Espasa, Joan Atanasova, Natasa Poch, Manel Emiliano, Pere Capdevila, Oriol González, Santiago Valero, Fernando Institute of the Environment University of Girona Girona CataloniaE-17003 Spain Logic and Programming Research Group Department of Computer Science Applied Mathematics and Statistics University of Girona Girona CataloniaE-17003 Spain ATLL-Concessionària de la Generalitat de Catalunya Sant Martí de l'Erm 30 Sant Joan Despí Barcelona CataloniaE08970 Spain

ISBN: (纸本)9788890357459

The development of an environmental decision support system (EDSS) by means of two different aims to support the operators' decisions in the drinking water treatment plant (DWTP), equipped with the biggest electrodialysis reversal (EDR) in the world. A fuzzy artificial neural network (ANN) modelling and adaptive network-based fuzzy inference system (ANFIS) have been compared for optimizing the decision: how to manage water blending ratios from EDR and conventional treatment of the drinking water plant, evaluating Llobregat River characteristics (inlet DWTP), current operating conditions of DWTP, weather conditions and distribution requirements on-line. This tool has been tested among 4,5 months in the facility, showing better tendencies regarding the ANFIS model in comparison to the ANN model. A further application of the ANN and ANFIS process models, tested and validated, will be integrated into a process-controlled architecture of the EDSS. © 2016 Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016. All rights reserved.

关键词： Fuzzy inference

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Design of Intelligent Decision Support System With Ensembled Machine Learning to Predict Students' Performance

Design of Intelligent Decision Support System With Ensembled...

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2024 International Conference on Communication, computer sciences and Engineering, IC3SE 2024

作者： Deepan, S. Rajendran, Dineshkumar Dhaliwal, Navdeep Praveena, K. Lourens, Melanie Anandhi, R.J. School Of Cs & Ai Sr University Telangana Warangal India School Of Computing And Innovative Technologies British University Computer Games Design And Programming Viet Nam Lovely Professional University Phagwara India Institute Of Aeronautical Engineering Dundigal Hyderabad India Durban University Of Technology Faculty Of Management Sciences South Africa New Horizon College Of Engineering Department Of Information Science Engineering Bangalore India

ISBN: (纸本)9798350366846

Evaluating student performance is important for universities and institutions in the current student education landscape because it helps them create models that work better for students. The automation of various features related to fundamental student traits and behaviours that manage massive amounts of data efficiently processes these. To handle student records that included information about students' behaviour and how it related to their academic performance, the companies employed models of classification with mining concepts. Additionally, the quality of result classification can be substantially improved by using learning analytics and Educational Data Mining (EDM). The educational establishments are making an effort to lower the low student performance. To address this issue, numerous methods for assessing student performance have been devised, allowing the relevant faculties to intervene and enhance the final product. Three classes - Low Performance Student, Average Student, and Smart Student - were created using the K-Mean Clustering methodology for classifying student records. Features including grade point, number of deficits, student attendance, medium of education, and board of education are taken into account when classifying the data. In this case, the WEKA tool is also utilized for implementing the model and outcome assessments. © 2024 IEEE.

关键词： Decision support systems

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Method for calculating of R-learning traffic peakedness

Method for calculating of R-learning traffic peakedness

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International Scientific-Practical Conference Problems of Infocommunications science and Technology

作者： Nina Kuchuk Oleksandr Mozhaiev Mykhailo Mozhaiev Heorgii Kuchuk Department of Computer Science National University Kharkiv Ukraine Laboratory on Speech and Audio Computer Engineering and Telecommunication Kharkov SRI examinations named Dist. prof. N.S. Bokariusa Kharkiv Ukraine Department of Information Technologies Kharkiv National University of Internal Affairs Kharkiv Ukraine Department of Computer science and programming National Technical University “Kharkiv Polytechnic Institute” Kharkiv Ukraine

In this article e-leaming traffic which is served by system on the hyper convergent platform is considered. It was done the analysis of the known methods of determine the degree of pulsation of traffic. The method for calculating of e-learning traffic peakedness is proposed. Simulation and calculation results peakedness is analyzed.

关键词： Wireless networks Economic indicators System implementation

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Dynamics of a predator-prey model with nonlinear incidence rate, Crowley-Martin type functional response and disease in prey population

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Ecological Genetics and Genomics 2019年 10卷

作者： Mortoja, Sk Golam Panja, Prabir Mondal, Shyamal Kumar Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Midnapore 721102 WB India Department of Applied Science Haldia Institute of Technology Haldia Purba Midnapore 721657 WB India

In this paper, a delayed predator-prey model has been developed. Here, on the basis of infectious disease, the prey population has been divided into two sub-populations such as (i) susceptible prey and (ii) infected prey population. It is also assumed that a predator may consume both susceptible prey as well as infected prey. Also here, the Crowley-Martin type functional form has been taken to consume the prey (both susceptible and infected) population by the predator. It also considers two types of time delays in this model, (i) one is disease transmission delay when susceptible prey moves to infected prey stage and (ii) other is predator maturation delay. As the predator consumes both susceptible and infected prey, so we have incorporated the fact in this model that disease in the prey species also effect on predator population growth. Here, positivity and boundedness of solutions of our proposed model have been discussed. Then calculating different equilibrium points, the stability of the system have been discussed around those. In this paper, the Hopf bifurcation analysis has been done for non-delayed system with respect to the crowding coefficient. Finally, some numerical simulations have been presented to validate our theoretical findings. © 2018 Elsevier Inc.

关键词： Crowley-Martin functional response Hopf bifurcation Nonlinear incidence rate Predator-prey model Stability analysis Time delay

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Extraction of human mandible bones from multi-slice computed tomographic data

Extraction of human mandible bones from multi-slice computed...

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Middle East Conference on Biomedical Engineering (MECBME)

作者： Tamer M. Nassef Nahed H. Solouma Mohamed Alkhodary Mona K. Marei Yasser M. Kadah Computer and Programming Engineering Department Misr University for Science and Technology Six of October City Egypt Tissue Engineering Laboratory Alexandria University Alexandria Egypt National Institute of Laser Science Cairo University Giza Egypt Biomedical Engineering Department Cairo University Giza Egypt

A new approach for segmenting different anatomical regions in dental Computed Tomography (CT) studies is presented in this paper. It is expected that the proposed approach will help automate different tissues regions by providing initial boundary points for deformable models or seed points for split and merge segmentation algorithms. Preliminary results obtained for dental CT studies of dentate and edentulous human-mandible are presented with finite element models divided by tetrahedral elements, which built based on actual CT data combined with triangulation equations. Identification of different anatomical regions set for mandible cortical and cancellous bones by generated 3D models by marching cubes technique.

关键词： Finite element methods Computed tomography Implants Image segmentation Three dimensional displays Dentistry Solid modeling

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computer assisted determination of mandibular cystic lesion volume from computed tomographic data

Computer assisted determination of mandibular cystic lesion ...

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Middle East Conference on Biomedical Engineering (MECBME)

作者： Tamer M. Nassef Reham M. Fliefel Mona K. Marei Nahed H. Solouma Yasser M. Kadah Computer and Programming Engineering Department Misr University for Science and Technology Six of October City Egypt Tissue Engineering Lab Alexandria University Alexandria Egypt National Institute of Laser Science Cairo University Giza Egypt Biomedical Engineering Department Cairo University Giza Egypt

In this paper, a new approach for computing different anatomical regions in dental Computed Tomography (CT) is presented. The approach consists of two steps. First, a HU threshold window sets to separate between different regions upon their gray-level values; second, a set of objects are generated and texture descriptors are calculated for selected windows from the image data sample. Finally, identification of different anatomical regions set for mandible bones to determine the cystic lesion volume based on numerical methods. Preliminary results obtained for dental CT of female patient aged 14 years old complaining of bilateral swelling in her mandible are presented.

关键词： Bones Lesions Computed tomography Three dimensional displays Pixel Surgery Solid modeling

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Data poisoning: issues, challenges, and needs

Data poisoning: issues, challenges, and needs

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7th IET Smart Cities Symposium (SCS 2023)

作者： Mohammad Aljanabi Alaa Hamza Omran Maad M Mijwil Mostafa Abotaleb El-Sayed M. El-kenawy Sahar Yousif Mohammed Abdelhameed Ibrahim Department of computer College of Education Aliarqai university Baghdad Iraq University of information technology and communications Baghdad Iraq Computer Techniques Engineering Department Baghdad College of Economic Sciences University Baghdad Iraq Department of System Programming South Ural State University Chelyabinsk Russia Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Egypt Computer Science Department Computer Science & Information Technology College Anbar University Anbar Iraq Computer Engineering and Control Systems Department Faculty of Engineering Mansoura University Mansoura Egypt

Data poisoning attacks, where adversaries manipulate training data to degrade model performance, are an emerging threat as machine learning becomes widely deployed in sensitive applications. This paper provides a comprehensive overview of data poisoning including attack techniques, adversary incentives, impacts on security and reliability, detection methods, defenses, and key research gaps. We examine label flipping, instance injection, backdoors, and other attack categories that enable malicious outcomes ranging from IP theft to accidents in autonomous systems. Promising detection approaches include statistical tests, robust learning, and forensics. However, significant challenges remain in translating academic defenses like adversarial training and sanitization into practical tools ready for operational use. With safety and trustworthiness at stake, more research on benchmarking evaluations, adaptive attacks, fundamental tradeoffs, and real-world deployment of defenses is urgently needed. Understanding vulnerabilities and developing resilient machine learning pipelines will only grow in importance as data integrity is fundamental to developing safe artificial intelligence.

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A Systematic Review on Security and Safety of Self-Adaptive Systems

SSRN

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SSRN 2022年

作者： Pekaric, Irdin Groner, Raffaela Witte, Thomas Adigun, Jubril Gbolahan Raschke, Alexander Felderer, Michael Tichy, Matthias University of Innsbruck Department of Computer Science Technikerstraße 21a InnsbruckA-6020 Austria Ulm University Institute of Software Engineering and Programming Languages James-Franck-Ring 9 Ulm89081 Germany

Context: Cyber-physical systems (CPS) are increasingly self-adaptive, i.e. they have the ability to introspect and change their behavior. This self-adaptation process must be considered when modeling the safety and security aspects of the ***: This study collects and compares security attacks and safety hazards on self-adaptive systems (SAS) described in the literature. In addition, mitigation and treatment strategies as well as the modeling and analysis approaches are ***: We conducted a systematic literature review on 21 selected papers. The selection process involved a database search and snowballing methodologies. The coding scheme to analyze the content of the papers was obtained through our research questions, existing domain-specific taxonomies, and open ***: Safety and Security are not jointly modeled in the context of self-adaptive systems. The adaptation process is often not considered in the attack and hazard analysis due to naïve assumptions and modeling. The proposed approaches are mostly verified and validated through ***: A thorough and joint modeling approach for safety and security in self-adaptive systems is still an open challenge that needs to be addressed. Further work is needed to address the gap between safety and security modeling in self-adaptive systems. © 2022, The Authors. All rights reserved.

关键词： Adaptive systems

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A graphical user interface for evolutionary algorithms

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Acta Cybernetica 2003年第2期16卷 337-365页

作者： Tóth, Zoltán Institute of Informatics University of Szeged Árpád tér 2 H-6720 Szeged Hungary Department of Computer Science 2: Programming Systems Friedrich-Alexander University of Erlangen-Nuremberg Martensstr. 3 D-91058 Erlangen Germany

The purpose of Generic Evolutionary Algorithms programming Library (GEA1) system is to provide researchers with an easy-to-use, widely applicable and extendable programming library which solves real-world optimization problems by means of evolutionary algorithms. It contains algorithms for various evolutionary methods, implemented genetic operators for the most common representation forms for individuals, various selection methods, and examples on how to use and expand the library. All these functions assure that GEA can be effectively applied on many problems. GraphGEA is a graphical user interface to GEA written with the GTK API. The numerous parameters of the evolutionary algorithm can be set in appropriate dialog boxes. The program also checks the correctness of the parameters and saving/restoring of parameter sets is also possible. The selected evolutionary algorithm can be executed interactively on the specified optimization problem through the graphical user interface of GraphGEA, and the results and behavior of the EA can be observed on several selected graphs and drawings. While the main purpose of GEA is solving optimization problems, that of GraphGEA is education and analysis. It can be of great help for students understanding the characteristics of evolutionary algorithms and researchers of the area can use it to analyze an EA's behavior on particular problems.

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