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Matching user interfaces to assess simple web applications 2

Matching user interfaces to assess simple web applications

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2nd international Computer programming Education conference, ICPEC 2021

作者： Primo, Marco Leal, José Paulo Faculty of Sciences University of Porto Portugal CRACS INESC Portugal

ISBN: (纸本)9783959771948

This paper presents ongoing research aiming at the automatic assessment of simple web applications, like those used in introductory web technologies courses. The distinctive feature of the proposed approach is a web interface matching procedure. This matching procedure verifies if the web interface being assessed corresponds to that of a reference application;otherwise, provides detailed feedback on the detected differences. Since web interfaces are event-driven, this matching is instrumental to assess the functionality. After mapping web interface elements from two applications, these can be targeted with events and property changes can be compared. This paper details the proposed matching algorithm and the current state of its implementation. It also discusses future work to embed this approach in a web environment for solving web application exercises with automatic assessment. © Marco Primo and José Paulo Leal;licensed under Creative Commons License CC-BY 4.0 Second international Computer programming Education conference (ICPEC 2021).

关键词： User interfaces

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Violence Detection on Women using Generative AI

Violence Detection on Women using Generative AI

引用

Innovations in High Speed Communication and Signal Processing (IHCSP), international conference on

作者： Aayush Shrivastava Nikhat Khan Paresh Tanna Amit Lathigara Computer Science Department IITM IES University Bhopal India Computer Science Department R K University Bhopal India

ISBN: (数字)9798350368949

ISBN: (纸本)9798350368956

Detection, prevention, and intervention strategies that rely on the application of state-of-the-art technology are required in that violence against women continues to threaten people from all walks of life. Through the applications of OpenAI's GPT models coupled with FastAPI for real-time deployment, this work comes to present an innovative solution in recognizing incidences of violence through Generative Artificial Intelligence. Through GPT's natural language capabilities, this system scans digital interactions for abusive language, harassment, and threats through social media and messaging platforms. Fast application programming interface (Fast API) is used by the system to give it scalability, real-time processing, and effective handling of concurrent requests so that it does not take too long in high-pressure situations. The technology is monitored and reports abusive behaviors through real-time alarm signals to the proper authorities or support services. Since it was trained on a wide variety of datasets, the model can both understand overt and subtle kinds of violence and thus be precise in identifying gender-based abuse that encompasses not only verbal manipulations but also psychological manipulations. This paper aims to deal with the ethical issues, problems, and possible impact of using a combination of GPT and FastAPI in relation to violence detection. The paper therefore underlines an integrated effort from AI developers, the legal frameworks, and social services to provide full mechanisms for protection.

关键词： Technological innovation Generative AI Social networking (online) Scalability Psychology Signal processing Real-time systems Protection Usability Application programming interfaces

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Topical issues related to certification tests of information security tools 11

Topical issues related to certification tests of information...

引用

11th international Scientific and Technical conference on Secure Information Technologies, BIT 2021

作者： Varenitca, Vitali V. Markov, Alexey S. Naschokin, Pavel A. Bauman Moscow State Technical University 5/1 2nd Baymanskay ul. Moscow105005 Russia NPO Echelon 24 2nd Electrozavodskaya ul. Moscow107023 Russia

This paper studies various methods and techniques used to identify defects and vulnerabilities during the certification tests of information security tools. The conclusion was drawn on the relevance and priority of the examination of open source web applications. The paper cites the study and demonstrates the drawbacks of directive methods used to find the vulnerabilities and undocumented features in software products. The author’s detailed statistics was provided demonstrating the identified vulnerabilities by the classes of computer attacks, information security tool manufacturers, programming environments and vulnerability identification procedures. Original test methods were compared with well-known directive test procedures. The relevance of introducing the concept of secure software development is shown. Recommendations are given on improving the security of software tools used for information protection. © 2021 Copyright for this paper by its authors.

关键词： Software testing

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2nd international conference on Applied Technologies, ICAT 2020

2nd International Conference on Applied Technologies, ICAT 2...

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2nd international conference on Applied Technologies, ICAT 2020

ISBN: (纸本)9783030715021

The proceedings contain 52 papers. The special focus in this conference is on Applied Technologies. The topics include: Gamification Within the Learning Evaluation Process Using Ardora at the Salesian Polytechnic University (Guayaquil, Ecuador);storytelling Digital: Experience and Technology in Designs of Tele-Collaborative Projects in Higher Education;Metrics Design of Usability and Behavior Analysis of a Human-Robot-Game Platform: HRG Metrics for LOLY-MIDI;an Electronic Equipment with Face Recognition Capacity Oriented to Measuring the Alcoholic Level in People;A Comparison of Linear and nonlinear PID Controllers Reset-Based for nonlinear Chemical Processes with Variable Deadtime;Comparison of Infinite Impulse Response (IIR) and Finite Impulse Response (FIR) Filters in Cardiac Optical Mapping Records;construction of a Low-Cost Semi-automatic Machine for Tensile Testing;carwash Station Prototype with Automatic Payment Using Intelligent Control Systems;distribution Networks with Distributed Generation and Electric Vehicles;user Affective Experience into a Scope of Conversational Artificial Intelligence;machine Learning Model for the Prediction of Emotions in a Mobile Application;is It Intelligent? A Systematic Review of Intelligence in the Most Cited Papers in IoT;detection and Fault Prediction in Electrolytic Capacitors Using Artificial Neural Networks;constraint programming for the Pandemic in Peru;detecting Xenophobic Hate Speech in Spanish Tweets Against Venezuelan Immigrants in Ecuador Using Natural Language Processing;sentiment Analysis Related of international Festival of Living Arts Loja-Ecuador Employing Knowledge Discovery in Text;Data Mining to Predict COVID-19 Patients’ Recovery on a Balanced Dataset;topic Identification from Spanish Unstructured Health Texts;autonomous Intelligent Navigation for Mobile Robots in Closed Environments.

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Advancements in Feature Extraction Recognition of Medical Imaging Systems through Deep Learning Technique

Advancements in Feature Extraction Recognition of Medical Im...

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Sensors, Electronics and Computer Engineering (ICSECE), IEEE international conference on

作者： Qishi Zhan Dan Sun Erdi Gao Yuhan Ma Yaxin Liana Haowei Yang Marquette University Wisconsin USA Washington University in St. Louis Saint Louis USA New York University New York USA Johns Hopkins University Baltimore USA University of Southern California Los Angeles USA University of Houston Houston USA

ISBN: (数字)9798350373646

ISBN: (纸本)9798350373653

This study introduces an innovative unsupervised method for medical image feature extraction, leveraging spatial stratification techniques. To expedite image recognition, the study proposes a novel weight-based objective function. The algorithm segments image pixels into multiple subdomains and accesses the image through a quadtree structure. Additionally, a threshold optimization technique utilizing the simplex algorithm is presented. To address the nonlinear characteristics of hyperspectral images, a kernel function-based generalized discriminant analysis algorithm is proposed. The project focuses on hyperspectral remote sensing images, exploring their mathematical modeling, solution methods, and feature extraction techniques. The findings indicate that different object types remain independent and exhibit compactness during image processing. Compared to traditional linear discrimination methods, this approach yields superior image segmentation results. This method not only mitigates the traditional method's susceptibility to lighting variations but also enables rapid and accurate feature extraction, offering significant reference value for clinical diagnosis.

关键词： Image segmentation Image recognition Databases Feature extraction Linear programming Mathematical models Sensors Optimization Medical diagnostic imaging Hyperspectral imaging

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A New Modified TR Algorithm with Adaptive Radius to Solve a nonlinear Systems of Equations 2

A New Modified TR Algorithm with Adaptive Radius to Solve a ...

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2nd international conference of Modern applications on Information and Communication Technology, ICMAICT 2020

作者： Dwail, Hasan H. Mahdi, Mohammed M. Wasi, H.A. Hashim, Karrar H. Dreeb, Nabiha K. Hussein, Hussein A. Shiker, Mushtak A. K. Department of Mathematics Collage of Education for Pure Sciences University of Babylon Hilla Iraq

The trust region method (TRM) is a very important technique to solve both of linear and nonlinear systems of equations. In this work, a new modified algorithm of a TRM with adaptive radius is introduced in purpose of solving systems of nonlinear equations. At each iteration, the new algorithm changes the trust region radius (TRR) automatically to reduce the subproblems resolving number when the current radius is rejected. The global convergence results of the new procedure under some appropriate conditions is established. The numerical effects indicate that the suggested algorithm is interesting and robustness. © Published under licence by IOP Publishing Ltd.

关键词： nonlinear equations

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Towards Pulverised Architectures for Collective Adaptive Systems through Multi-tier programming 2

Towards Pulverised Architectures for Collective Adaptive Sys...

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2nd IEEE international conference on Autonomic Computing and Self-Organizing Systems (ACSOS)

作者： Aguzzi, Gianluca Casadei, Roberto Pianini, Danilo Salvaneschi, Guido Viroli, Mirko Alma Mater Studiorum Univ Bologna Cesena Italy Univ St Gallen St Gallen Switzerland

ISBN: (纸本)9781665443937

Engineering large-scale Cyber-Physical Systems - like robot swarms, augmented crowds, and smart cities - is challenging, for many issues have to be addressed, including specifying their collective adaptive behaviour and managing the connection of the digital and physical parts. In particular, some approaches propose self-organising mechanisms to actually program global behaviour while fostering decentralised, asynchronous execution. However, most of these approaches couple behavioural specifications to specific network architectures (e.g., peer-to-peer), and therefore do not promote flexible exploitation of the underlying infrastructure. Conversely, pulverisation is a recent approach that enables self-organising behaviour to be defined independently of the available infrastructure while retaining functional correctness. However, there are currently no tools to formally specify and verify concrete architectures for pulverised applications. Therefore, we propose to combine pulverisation with multi-tier programming, a paradigm that supports the specification of the architecture of distributed systems in a single code base, and enables static checks for the correctness of actual deployments. The approach can be implemented by combining the ScaFi aggregate computing tool-chain with the ScalaLoci multi-tier programming language, paving the path to support the development of self-organising cyber-physical systems, addressing both functional (behaviour) and non-functional concerns (deployment) in a single code base and modular fashion.

关键词： Pulverisation Aggregate Computing Multi-tier programming

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Data Privacy Protection Algorithm for Carrier Communication Nodes in Power Internet of Things Based on Frequent Itemsets

Data Privacy Protection Algorithm for Carrier Communication ...

引用

Smart Grid and Artificial Intelligence (SGAI), international conference on

作者： Hua Li Zhengrong Wu Wenqin Chen Jialin Luo Xun Min CHINA SOUTHERN POWER GRID Guangzhou Guangdong China Digital Power Grid Technology (Guangdong) Co. Ltd China Southern Power Grid. Guangzhou Guangdong China Guizhou Grid Company Limited Guiyang Guizhou China

ISBN: (数字)9798331518806

ISBN: (纸本)9798331518813

Because the original data of the carrier communication node of power Internet of Things is non-stationary and nonlinear, its discreteness is large, which is not conducive to feature extraction, which leads to the possibility of data privacy protection and low data security. Therefore, this paper proposes a data privacy protection algorithm based on frequent itemsets for power Internet of Things carrier communication nodes. Through the set rules, the network resources of the power Internet of Things are analyzed, the corresponding itemsets are connected, the residual components are calculated, and the correlation between two adjacent data is extracted by using frequent itemsets. The comprehensive attributes of the data set are obtained, the local information entropy of the communication node data privacy is described, and the data sequence characteristics of the privacy data are extracted, to construct the data privacy protection objective function and realize the data privacy protection algorithm design of the power Internet of Things carrier communication node. The experimental results show that the algorithm in this paper shows a low data information loss rate on multiple data sets, which can effectively reduce data information loss and protect the privacy and security of data. Under both internal and external attacks, the anti-attack performance is over 98%, after privacy processing by this algorithm, privacy leakage can be limited to the maximum extent, and privacy protection performance is excellent.

关键词： Data privacy Privacy Itemsets Data security Power system stability Linear programming Stability analysis Smart grids Internet of Things Protection

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Stakeholder-centred Identification of Data Quality Issues: Knowledge that Can Save Your Business 2

Stakeholder-centred Identification of Data Quality Issues: K...

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2nd international conference on Intelligent Data Science Technologies and applications (IDSTA)

作者： Nikiforova, Anastasija Kozmina, Natalija Univ Latvia Fac Comp Programming Dept Innovat Informat Technol Lab Riga Latvia

ISBN: (纸本)9781665421805

The paper presents a study aimed at identifying the most widely occurring data quality issues that affect users' experience with data and their reuse, and presence of which may not only disrupt the willingness to work with data but also cause losses for businesses. The list of defects is intended to be identified as a result of the following activities: first, the list of the most widely occurring data quality requirements and/ or dimensions should be established by means of literature analysis. Second, given the diversity and quantity of different data quality requirements and dimensions, this list should be reduced by means of the brainstorming session and DELPHI analysis, which involves 12 experts. The validity of the resulting list should then be verified by applying these requirements to real-world data, more precisely, open government data, which are freely available to every stakeholder. This activity involves 30 users with advanced data quality knowledge. This allows us to define a list of key data quality issues. Both the data holder and the data user with higher degree of confidence can make use of it to make sure that the data are error-free and are a trusted source to be used without losses for business. These requirements serve as part of a specification for the web-based data quality analysis tool to be developed.

关键词： data quality stakeholder Delphi brainstorming open government data open data

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Measurement and Analysis of Transient Information Characteristics of IOT Equipment Using Graphical programming 2

Measurement and Analysis of Transient Information Characteri...

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2021 2nd international conference on Artificial Intelligence and Information Systems, ICAIIS 2021

作者： He, Fengping Fujian Polytechnic of Information Technology Fuzhou China

The switching on and switching off operation of some IOT devices is a complex physical, chemical and mechanical nonlinear transient process, which contains a lot of information. The information has distinction, stability and clear physical meaning. Due to the short time of transient process and the rapid change of waveform and characteristic parameters from time to time, it is difficult for traditional test instruments to capture the characteristics of voltage, current and power consumption in the transient process. Therefore, this paper develops a set of transient characteristic test system of IOT equipment by using the graphical programming software LabVIEW, which realizes the accurate measurement, automatic analysis and display of transient process waveform and characteristic parameters. Taking the operating coil of an electronic product as the test object, the transient characteristics in the whole process of on-off, closing process and breaking process are tested and verified by using the test system, which improves the efficiency of detection and analysis of the performance of IOT equipment. © Published under licence by IOP Publishing Ltd.

关键词： Electric power utilization

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