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36 results on '"Aneta Poniszewska-Marańda"'

1. Classification of Events in Selected Industrial Processes Using Weighted Key Words and K-Nearest Neighbors Algorithm

Author

Mateusz Walczak, Aneta Poniszewska-Marańda, and Krzysztof Stepień

Subjects
text classification, keyword extraction, text-feature extraction, K-NN algorithm, N-gram method, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Abstract

The problem of classifying events in the industry is related to a large amount of accumulated text data including, among others, communication between the company and the client, whose expectations regarding the quality of its service are constantly growing. The currently used solutions for handling incoming requests have numerous disadvantages; they imply additional costs for the company and often a high level of customer dissatisfaction. A partial solution to this problem may be the automation of event classification; for example, by means of an expert IT system. The presented work proposes the solution to the problem of classifying text events. For this purpose, textual descriptions of events were used, which were collected for many years by companies from many different industries. A large part of text events are various types of problems reported by company customers. As part of this work, a complex text-classification process was constructed by using the K-Nearest Neighbors algorithm. The demonstrated classification process uses two novel proposed mechanisms: the dynamic extension of stop list and weighted keywords. Both of the mechanisms aim to improve the classification performance by solving typical problems that occur when using a fixed stop list and a classical keyword extraction approach by using TF or TF-IDF methods. Finally, the Text Events Categorizer system that implements the proposed classification process was described.

Published
2023
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2. Medical Data Transformations in Healthcare Systems with the Use of Natural Language Processing Algorithms

Author

Aneta Poniszewska-Marańda, Elina Vynogradnyk, and Witold Marańda

Subjects
machine learning, data management, natural language processing, healthcare systems, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Abstract

Machine learning has only recently begun to see its application in medicine and is still facing quite a few challenges that prevent it from being more widely used. Problems such as high data dimensionality and the lack of a common data schema still remain relevant. It is worth examining the usage of machine learning in the context of healthcare and deploying selected machine learning algorithms on the problem of cardiovascular disease diagnosis. Cardiovascular diseases are currently the most common cause of death in the world. Many of them develop for a long time in an asymptomatic way, and when the first symptoms become visible, it is often too late to implement effective treatment. For this reason, it is important to carry out regular diagnostic tests that will allow you to detect a given disease at an early stage. It is then possible to implement appropriate treatment that will prevent the occurrence of an advanced form of the disease. While doing so, it attempts to analyse data from different sources and utilizing natural language processing to combat data heterogeneity. The paper assesses the efficiency of various approaches of machine learning (i.e., TR-SVM (Terminated Ramp–Support Vector Machine), TWNFI (Transductive Neuro-Fuzzy Inference), Naive Bayes) when applied in the healthcare field and proposes the solutions to the problem of plain text data transformation and data heterogeneity with the help of natural language processing. The algorithms used for diagnosis were implemented, tested and their performance compared, with their parameters also investigated, making it easier to choose an algorithm better suited for a specific case. Whereas TRSVM is better suited for smaller datasets with a high amount of dimensions, TWNFI performs better on larger ones and does not have the performance problems.

Published
2023
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3. Image Analysis and Processing for Generating Camouflages from Digital Earth Photographs

Author

Aneta Poniszewska-Marańda, Michał Suszek, and Krzysztof Stepień

Subjects
image analysis, generating images, digital camouflage, camouflage generation, modeling, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Abstract

Camouflage is present both on the civilian market and in military. It is used by hunters and military enthusiasts, but also by clothing designers and game developers. They are forced to design their own or choose between already developed camouflages, both military and civilian, so they cannot adapt it to their needs in a fast and easy way. Currently, there are not many software solutions that allow for easy generation of digital camouflages and support the user in selecting the colors for final camouflage result. The approach presented in the paper proposes to solve these problems by analyzing the colors from digital Earth images of the target areas and using the developed image processing algorithm for generating digital camouflages. Based on the proposed approach and its designed algorithm, the application was created to allow the user to easily generate the digital camouflages. The paper also presents the results of analysis of camouflage quality, comparing the camouflages generated with the developed algorithms and their application and the selected market generators together with the selected military digital camouflages. By using the proposed algorithm to generate the camouflage and implementing the centroid algorithm for color extraction, it was possible to create better quality camouflages compared to those created by existing software solutions. This was supported by an analysis of the camouflage quality in chosen terrain variants, in which developed application achieved the best results.

Published
2022
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4. Systematic Comparison of Vectorization Methods in Classification Context

Author

Urszula Krzeszewska, Aneta Poniszewska-Marańda, and Joanna Ochelska-Mierzejewska

Subjects
natural language processing, text vectorization, Continuous Bag of Words, skip-gram, k-nearest neighbors, Naive Bayesian Classifier, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Abstract

Natural language processing has been the subject of numerous studies in the last decade. These have focused on the various stages of text processing, from text preparation to vectorization to final text comprehension. The goal of vector space modeling is to project words in a language corpus into a vector space in such a way that words that are similar in meaning are close to each other. Currently, there are two commonly used approaches to the topic of vectorization. The first focuses on creating word vectors taking into account the entire linguistic context, while the second focuses on creating document vectors in the context of the linguistic corpus of the analyzed texts. The paper presents the comparison of different existing text vectorization methods in natural language processing, especially in Text Mining. The comparison of text vectorization methods is possible by checking the accuracy of classification; we used the methods NBC and k-NN, as they are some of the simplest methods. They were used for the classification in order to avoid the influence of the choice of the method itself on the final result. The conducted experiments provide a basis for further research for better automatic text analysis.

Published
2022
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5. Data Processing in Cloud Computing Model on the Example of Salesforce Cloud

Author

Witold Marańda, Aneta Poniszewska-Marańda, and Małgorzata Szymczyńska

Subjects
cloud computing, data processing, information systems development, data storage, computational methods, Salesforce cloud, Information technology, T58.5-58.64
Abstract

Data processing is integrated with every aspect of operation enterprises—from accounting to marketing and communication internal and control of production processes. The best place to store the information is a properly prepared data center. There are a lot of providers of cloud computing and methods of data storage and processing. Every business must do the right thing, which is to think over how the data at your disposal are to be managed. The main purpose of this paper is research and the comparison of available methods of data processing and storage outside the enterprise in the cloud computing model. The cloud in SaaS (software as a service) model—Salesforce.com and a free platform development offered by Salesforce.com—force.com were used to perform the research. The paper presents the analysis results of available methods of processing and storing data outside the enterprise in the cloud computing model on the example of Salesforce cloud. Salesforce.com offers several benefits, but each service provider offers different services, systems, products, and forms of data protection. The choice of customer depends on individual needs and business plans for the future. A comparison of available methods of data processing and storage outside the enterprise in the cloud computing model was presented. On the basis of collected results, it was determined for what purposes the data processing methods available on the platform are suitable and how they can meet the needs of enterprises.

Published
2022
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6. Security Measures with Enhanced Behavior Processing and Footprint Algorithm against Sybil and Bogus Attacks in Vehicular Ad Hoc Network

Author

Krzysztof Stępień and Aneta Poniszewska-Marańda

Subjects
vehicular ad hoc network, security, sensors, Internet of things, bogus attack, Sybil attack, Chemical technology, TP1-1185
Abstract

Vehicular ad hoc networks (VANETs) are created according to the principles of ad hoc mobile networks (MANETs), i.e., spontaneous creation of a wireless network for vehicle-to-vehicle (V2V) communication. Each vehicle in this network is treated as a node that is part of the mobile network. VANET turns all cooperating vehicles into a wireless router or node. This makes it possible to connect all cars within range to a stationary unit and create a wide network with a huge range. VANET is widely used for better traffic management, vehicle-to-vehicle communication, and road information provision. The VANET network is exposed to identity and information attacks, concealing or delaying data transmission, or information theft. Therefore, there are multiple types of attack, such as Sybil or bogus, that might harm the whole network infrastructure. The consequences of the mentioned two attacks could lead not only to the given infrastructure but could cause hammering people’s lives. In this paper, we analyze the ongoing methods for preserving Sybil and bogus attacks in a VANET network together with the authors’ methods: the Bogus & Sybil Trust Level & Timestamp (B&STL&T) algorithm and the Bogus & Sybil Enhanced Behavior Processing & Footprint (B&SEBP&F) algorithm. The first algorithm, the Bogus & Sybil Trust Level & Timestamp (B&STL&T) algorithm was improved into the Bogus & Sybil Enhanced Behavior Processing & Footprint (B&SEBP&F), presented in the paper. The proposed methods were tested with multiple scenarios using different variations of bogus and Sybil attack and various attacker–victim node number ratios. During analysis, it was observed that detection of all attackers in the network was reduced by approximately 30% in comparison to previous work and that of other cited authors.

Published
2021
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7. Kubernetes Cluster for Automating Software Production Environment

Author

Aneta Poniszewska-Marańda and Ewa Czechowska

Subjects
software production environment, production environment, Kubernetes, Amazon Web Services (AWS), Amazon Elastic Kubernetes Service (EKS), operations automation, Chemical technology, TP1-1185
Abstract

Microservices, Continuous Integration and Delivery, Docker, DevOps, Infrastructure as Code—these are the current trends and buzzwords in the technological world of 2020. A popular tool which can facilitate the deployment and maintenance of microservices is Kubernetes. Kubernetes is a platform for running containerized applications, for example microservices. There are two main questions which answer was important for us: how to deploy Kubernetes itself and how to ensure that the deployment fulfils the needs of a production environment. Our research concentrates on the analysis and evaluation of Kubernetes cluster as the software production environment. However, firstly it is necessary to determine and evaluate the requirements of production environment. The paper presents the determination and analysis of such requirements and their evaluation in the case of Kubernetes cluster. Next, the paper compares two methods of deploying a Kubernetes cluster: kops and eksctl. Both of the methods concern the AWS cloud, which was chosen mainly because of its wide popularity and the range of provided services. Besides the two chosen methods of deployment, there are many more, including the DIY method and deploying on-premises.

Published
2021
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15. Selected Genetic Algorithms for Vehicle Routing Problem Solving

Author

Joanna Ochelska-Mierzejewska, Witold Marańda, and Aneta Poniszewska-Marańda

Subjects
vehicle routing problem, traveling salesman problem, metaheuristic, genetic algorithms, optimization, TK7800-8360, Computer Networks and Communications, Hardware and Architecture, Control and Systems Engineering, Signal Processing, Electrical and Electronic Engineering, Electronics
Abstract

The traveling salesman problem (TSP) consists of finding the shortest way between cities, which passes through all cities and returns to the starting point, given the distance between cities. The Vehicle Routing Problem (VRP) is the issue of defining the assumptions and limitations in mapping routes for vehicles performing certain operational activities. It is a major problem in logistics transportation. In specific areas of business, where transportation can be perceived as added value to the product, it is estimated that its optimization can lower costs up to 25% in total. The economic benefits for more open markets are a key point for VRP. This paper discusses the metaheuristics usage for solving the vehicle routing problem with special attention toward Genetic Algorithms (GAs). Metaheuristic algorithms are selected to solve the vehicle routing problem, where GA is implemented as our primary metaheuristic algorithm. GA belongs to the evolutionary algorithm (EA) family, which works on a “survival of the fittest” mechanism. This paper presents the idea of implementing different genetic operators, modified for usage with the VRP, and performs experiments to determine the best combination of genetic operators for solving the VRP and to find optimal solutions for large-scale real-life examples of the VRP.

Published
2021

17. Good Practices and New Perspectives in Information Systems and Technologies : WorldCIST 2024, Volume 1

Author

Álvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, Aneta Poniszewska-Marańda, Álvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, and Aneta Poniszewska-Marańda

Subjects
Computational intelligence, Engineering—Data processing, Application software
Abstract

This book is composed by a selection of articles from the 12th World Conference on Information Systems and Technologies (WorldCIST'24), held between 26 and 28 of March 2024, at Lodz University of Technology, Lodz, Poland. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main and distinctive topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human-Computer Interaction; J) Ethics, Computers and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications. The primary market of this book are postgraduates and researchers in Information Systems and Technologies field. The secondary market are undergraduates and professionals as well in Information Systems and Technologies field.

Published
2024

18. Good Practices and New Perspectives in Information Systems and Technologies : WorldCIST 2024, Volume 6

Author

Álvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, Aneta Poniszewska-Marańda, Álvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, and Aneta Poniszewska-Marańda

Subjects
Computational intelligence, Engineering—Data processing, Application software
Abstract

This book is composed by a selection of articles from the 12th World Conference on Information Systems and Technologies (WorldCIST'24), held between 26 and 28 of March 2024, at Lodz University of Technology, Lodz, Poland. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main and distinctive topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human-Computer Interaction; J) Ethics, Computers and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications. The primary market of this book are postgraduates and researchers in Information Systems and Technologies field. The secondary market are undergraduates and professionals as well in Information Systems and Technologies field.

Published
2024

19. Good Practices and New Perspectives in Information Systems and Technologies : WorldCIST 2024, Volume 5

Author

Álvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, Aneta Poniszewska-Marańda, Álvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, and Aneta Poniszewska-Marańda

Subjects
Computational intelligence, Engineering—Data processing, Application software
Abstract

This book is composed by a selection of articles from the 12th World Conference on Information Systems and Technologies (WorldCIST'24), held between 26 and 28 of March 2024, at Lodz University of Technology, Lodz, Poland. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main and distinctive topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human-Computer Interaction; J) Ethics, Computers and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications. The primary market of this book are postgraduates and researchers in Information Systems and Technologies field. The secondary market are undergraduates and professionals as well in Information Systems and Technologies field.

Published
2024

20. Good Practices and New Perspectives in Information Systems and Technologies : WorldCIST 2024, Volume 2

Author

Álvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, Aneta Poniszewska-Marańda, Álvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, and Aneta Poniszewska-Marańda

Subjects
Computational intelligence, Engineering—Data processing, Application software
Abstract

This book is composed by a selection of articles from the 12th World Conference on Information Systems and Technologies (WorldCIST'24), held between 26 and 28 of March 2024, at Lodz University of Technology, Lodz, Poland. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main and distinctive topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human-Computer Interaction; J) Ethics, Computers and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications. The primary market of this book are postgraduates and researchers in Information Systems and Technologies field. The secondary market are undergraduates and professionals as well in Information Systems and Technologies field.

Published
2024

21. Good Practices and New Perspectives in Information Systems and Technologies : WorldCIST 2024, Volume 4

Author

Álvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, Aneta Poniszewska-Marańda, Álvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, and Aneta Poniszewska-Marańda

Subjects
Computational intelligence, Engineering—Data processing, Application software
Abstract

This book is composed by a selection of articles from the 12th World Conference on Information Systems and Technologies (WorldCIST'24), held between 26 and 28 of March 2024, at Lodz University of Technology, Lodz, Poland. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main and distinctive topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human-Computer Interaction; J) Ethics, Computers and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications. The primary market of this book are postgraduates and researchers in Information Systems and Technologies field. The secondary market are undergraduates and professionals as well in Information Systems and Technologies field.

Published
2024

22. Good Practices and New Perspectives in Information Systems and Technologies : WorldCIST 2024, Volume 3

Author

Álvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, Aneta Poniszewska-Marańda, Álvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, and Aneta Poniszewska-Marańda

Subjects
Computational intelligence, Engineering—Data processing, Application software
Abstract

This book is composed by a selection of articles from the 12th World Conference on Information Systems and Technologies (WorldCIST'24), held between 26 and 28 of March 2024, at Lodz University of Technology, Lodz, Poland. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main and distinctive topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human-Computer Interaction; J) Ethics, Computers and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications. The primary market of this book are postgraduates and researchers in Information Systems and Technologies field. The secondary market are undergraduates and professionals as well in Information Systems and Technologies field.

Published
2024

24. Developments in Information & Knowledge Management for Business Applications : Volume 3

Author

Natalia Kryvinska, Aneta Poniszewska-Marańda, Natalia Kryvinska, and Aneta Poniszewska-Marańda

Subjects
Computational intelligence, Knowledge management, Management information systems, Information technology
Abstract

This book provides practical knowledge on different aspects of information and knowledge management in businesses. In contemporary unstable time, enterprises/businesses deal with various challenges—such as large-scale competitions, high levels of uncertainty and risk, rush technological advancements, while increasing customer requirements. Thus, businesses work continually on improving efficiency of their operations and resources towards enabling sustainable solutions based on the knowledge and information accumulated previously. Consequently, this third volume of our subline persists to highlight different approaches of handling enterprise knowledge/information management directing to the importance of unceasing progress of structural management for the steady growth. We look forward that the works of this volume can encourage and initiate further research on this topic.

Published
2022

25. Mobile Web and Intelligent Information Systems : 18th International Conference, MobiWIS 2022, Rome, Italy, August 22–24, 2022, Proceedings

Author

Irfan Awan, Muhammad Younas, Aneta Poniszewska-Marańda, Irfan Awan, Muhammad Younas, and Aneta Poniszewska-Marańda

Subjects
Computer networks, Application software, Artificial intelligence, Computers
Abstract

This book constitutes the refereed proceedings of the 18th International Conference on Mobile Web and Intelligent Information Systems, MobiWIS 2022, held in Rome, Italy, in August 2022.The 18 full papers and 1 short paper presented in this book were carefully reviewed and selected from 51 submissions. The papers of MobiWIS 2022 deal focus on topics such as security and privacy; web and mobile applications; networking and communication; intelligent information systems; and IoT and ubiquitous computing.

Published
2022

26. A Construction Method of Hyperbolic Representation Lexicon Oriented to Chinese Ironic Text

Author

Guangli Zhu, Shuyu Li, Jiawei Li, Wenjie Duan, Ruotong Zhou, Kuan-Ching Li, and Aneta Poniszewska-Maranda

Subjects
Chinese ironic detection, hyperbolic representation lexicon, semantic information, WoBERT, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Irony detection aims to analyze and identify language expressions containing irony in texts, which can assist text sentiment analysis and opinion mining. Hyperbolic expressions are the unique language characteristics in Chinese ironic texts that often highlight the critics’ ironic intentions. Existing methods of irony domain lexicon construction ignore the hyperbolic expressions in the construction process, resulting in incomplete semantic information contained in the lexicon. Considering this problem, this paper proposes a method for constructing a hyperbolic representation lexicon to mine the language feature and improve the accuracy of irony detection. Firstly, we select the candidate words and word pairs of hyperbolic representation by Word2Vec combined with the K-means++ algorithm. Then, the information entropy is calculated to measure the correlation between candidate words and texts, so the seed word set with a high correlation with texts is obtained. Finally, we expand the seed word set using WoBERT to capture the text’s deep semantic information. Thus, the generalization ability of the hyperbolic representation lexicon is improved. The experimental results show that combining the lexicon constructed in this paper can effectively mine the language features of ironic texts, thereby improving the accuracy of irony detection. The experimental indicators Acc and F1-score have an average improvement of about 2.38% and 2.29%, respectively.

Published
2024
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27. An Improved Dilated-Transposed Convolution Detector of Weld Proximity Defects

Author

Zihua Chen, Yu Zheng, Tien-Hsiung Weng, Ling-Huey Li, Kuan-Ching Li, and Aneta Poniszewska-Maranda

Subjects
Weld proximity defects, dilation transposed convolution, multi-object detection, machine learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Weld proximity defects present some characteristics, including mutual occupancy areas, high density, and small-target sizes, which is a challenge to detect industrial sheet welding accurately. The existing detectors are limited by the fixed size of feature receptive fields or the ability to process imbalanced positive-negative samples, which cannot be applied to detecting weld proximity defects. To solve the above-mentioned problem, we propose an industrial detector based on the Decoupled-Dilated-Transposed You Only Look Once v5 (DDT-YOLOv5). First, the Dilated-Transposed Convolution Cross-Stage Partial Network (DT-CSPnet) is designed in the DDT-YOLOv5, replacing the conventional cross-stage partial structure, to extract defect features effectively. Two middle Resblock Bodies in the backbone are designed as two DT-CSPnet blocks respectively, which can accelerate the convolutional feature extraction process. Second, we provide an improved Sigmoid Linear Unit function to reduce the loss of precision and optimize the gradient of the detection network. Third, the Squared-Focal Loss with the $\alpha $ -balanced method is explored in the decoupled head, including the Maxpooling layer. It aims for the accurate detection and classification of weld proximity defects in imbalanced samples. Finally, we contrast the proposed DDT-YOLOv5 with other related models via the real dataset of weld proximity defects. Experimental results show that the proposed model can present superior effects for detecting weld proximity defects.

Published
2024
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28. Developments in Information & Knowledge Management for Business Applications : Volume 2

Author

Natalia Kryvinska, Aneta Poniszewska-Marańda, Natalia Kryvinska, and Aneta Poniszewska-Marańda

Subjects
Computational intelligence, Knowledge management, Management information systems, Information technology
Abstract

This book provides practical knowledge on different aspects of information and knowledge management in businesses. For enterprises/businesses those intend to remain prosperous and prolific, it is critically important to share best practices, ensure efficient information flow across company, capturing shared knowledge centrally, and communicate compliance rules, i.e. managing competently information in general. It enables faster and better decisions by helping employees'to build a strong expertise and by avoiding duplicated projects. Thus, the second volume of this series subline continues to explore different aspects of information and knowledge handling as well as doing business with information. We survey further the key aspects of managerial implications of the informational business. The novel methodologies and practices for the business information processing as well as application of mathematical models to the business analytics and efficient managementare examined.

Published
2021

30. Complex, Intelligent and Software Intensive Systems : Proceedings of the 14th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2020)

Author

Leonard Barolli, Aneta Poniszewska-Maranda, Tomoya Enokido, Leonard Barolli, Aneta Poniszewska-Maranda, and Tomoya Enokido

Subjects
Computational intelligence, Artificial intelligence
Abstract

This book explores three interwoven and challenging areas of research and development for future ICT-enabled applications: software intensive systems, complex systems and intelligent systems. Software intensive systems are systems that extensively interact with other systems, sensors, actuators, devices and users. More and more domains are now employing software intensive systems, e.g. the automotive sector, telecommunication systems, embedded systems in general, industrial automation systems and business applications. Moreover, the outcome of web services offers a new platform for enabling software intensive systems. Complex systems research is focused on the overall understanding of systems rather than their components. Complex systems are very much characterized by the changing environments in which they operate through their multiple internal and external interactions. They evolve and adapt through (internal and external) dynamic interactions. The development of intelligent systems and agents, which is increasingly characterized by the use of ontologies, can be beneficial for software intensive systems and complex systems alike. Accordingly, recent research in the areas of intelligent systems, robotics, neuroscience, artificial intelligence, and the cognitive sciences is essential to the future development of software intensive and complex systems.

Published
2020

31. Innovative Mobile and Internet Services in Ubiquitous Computing : Proceedings of the 14th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS-2020)

Author

Leonard Barolli, Aneta Poniszewska-Maranda, Hyunhee Park, Leonard Barolli, Aneta Poniszewska-Maranda, and Hyunhee Park

Subjects
Computational intelligence, Wireless communication systems, Mobile communication systems
Abstract

This book presents the latest research findings, methods and development techniques, challenges and solutions concerning UPC from both theoretical and practical perspectives, with an emphasis on innovative, mobile and Internet services. With the proliferation of wireless technologies and electronic devices, there is a rapidly growing interest in Ubiquitous and Pervasive Computing (UPC), which makes it possible to create a human-oriented computing environment in which computer chips are embedded in everyday objects and interact with the physical world. Through UPC, people can go online even while moving around, thus enjoying nearly permanent access to their preferred services. Though it has the potential to revolutionize our lives, UPC also poses a number of new research challenges.

Published
2020

32. Data-Centric Business and Applications : Towards Software Development (Volume 4)

Author

Aneta Poniszewska-Marańda, Natalia Kryvinska, Stanisław Jarząbek, Lech Madeyski, Aneta Poniszewska-Marańda, Natalia Kryvinska, Stanisław Jarząbek, and Lech Madeyski

Subjects
Engineering—Data processing, Computational intelligence, Quantitative research, Artificial intelligence
Abstract

This book explores various aspects of software creation and development as well as data and information processing. It covers relevant topics such as business analysis, business rules, requirements engineering, software development processes, software defect prediction, information management systems, and knowledge management solutions. Lastly, the book presents lessons learned in information and data management processes and procedures.

Published
2019

33. Integrating Research and Practice in Software Engineering

Author

Stan Jarzabek, Aneta Poniszewska-Marańda, Lech Madeyski, Stan Jarzabek, Aneta Poniszewska-Marańda, and Lech Madeyski

Subjects
Computational intelligence, Engineering—Data processing
Abstract

In this book, the authors highlight recent findings that hold the potential to improve software products or development processes; in addition, they help readers understand new concepts and technologies, and to see what it takes to migrate from old to new platforms. Some of the authors have spent most of their careers in industry, working at the frontiers of practice-based innovation, and are at the same time prominent researchers who have made significant academic contributions. Others work together with industry to test, in industrial settings, the methods they've developed in the lab. The choice of subject and authors represent the key elements of this book. Its respective chapters cover a wide range of topics, from cloud computing to agile development, applications of data science methods, re-engineering of aging applications into modern ones, and business and requirements engineering. Taken together, they offer a valuable asset for practitioners and researchers alike.

Published
2019

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