Acta Informatica Pragensia, 2022 (vol. 11), issue 1
Article
Visual Interface Design Innovation: Citizens' Perception of Financial Administration Applications
Tereza Zichová
Acta Informatica Pragensia 2022, 11(1), 1-14 | DOI: 10.18267/j.aip.1603727 
The paper deals with an analysis and evaluation of an innovative visual design of the Czech Financial Administration application, which was launched in order to solve needs arising from the COVID-19 pandemic. The Financial Administration had not made use of information technologies for several years, which had prevented the streamlining of public services offered to taxpayers. The aim of the study is to compare the perception of the visual interface design of two Financial Administration applications: (a) the Tax Portal – launched before the pandemic, and (b) the application for the provision of a compensation bonus for self-employed –...
Image-based Product Recommendation Method for E-commerce Applications Using Convolutional Neural Networks
Pegah Malekpour Alamdari, Nima Jafari Navimipour, Mehdi Hosseinzadeh, Ali Asghar Safaei, Aso Darwesh
Acta Informatica Pragensia 2022, 11(1), 15-35 | DOI: 10.18267/j.aip.1676041
Recommender systems (RS) are designed to eliminate the information overload problem in today's e-commerce platforms and other data-centric online services. They help users explore and exploit the system's information environment utilizing implicit and explicit data from internal e-commerce systems and user interactions. Today's product catalogues include pictures to provide visual detail at a glance. This approach can effectively convert potential buyers into customers. Since most e-commerce stores use product images to promote, arouse users' visual desires and encourage them to buy products, this paper develops an image-based RS using deep learning...
Predicting Mortality in Patients with Stroke Using Data Mining Techniques
Zahra Hadianfard, Hadi Lotfnezhad Afshar, Surena Nazarbaghi, Bahlol Rahimi, Toomas Timpka
Acta Informatica Pragensia 2022, 11(1), 36-47 | DOI: 10.18267/j.aip.1633026
The mortality due to stroke is increasing. Accurate prediction of stroke-caused death is very important for healthcare. Data mining methods are novel ways to predict these mortality risks. The aim of this study is to employ popular data mining algorithms to predict the survival of stroke patients and extract decision rules. The data on stroke patients (n=4149) were collected from paper medical records. Missing data were managed using the multiple imputation method. Also, the target variable was balanced using methods such as over-sampling, under-sampling and Synthetic Minority Oversampling (SMOTE). The support vector machine (SVM), decision tree, and...
Impact of Social Media Application Qualities on Using Them for Daily News
Davod Farhadi, Ali Maroosi
Acta Informatica Pragensia 2022, 11(1), 48-61 | DOI: 10.18267/j.aip.1643474
A model is introduced to investigate the effect of social media application qualities on the using of these applications for daily news. A standard questionnaire was designed and distributed among randomly selected social media users in the city of Neyshabur in Iran. The content of the questionnaire was validated by experts and its reliability verified using Cronbach's alpha. Random sampling was used identify participants. The SmartPLS software was used to investigate the research findings. Structural equation modelling is used for data analysis. The results show that the factors of system quality, information quality, service quality and personalization...
Body Image Esteem and Photo Manipulation Among Social Media Users
Hai Chung Pham, Lien Nguyen, Tuan Anh Vu, Phuong Tran
Acta Informatica Pragensia 2022, 11(1), 62-79 | DOI: 10.18267/j.aip.1667072
When interacting with each other virtually on social media sites, users may potentially encounter their own “self-presence”. To improve their physical self-presence on social media, users might resolve to curate themselves to match their ideal perceptions of themselves and others. This study examines the intention to alter one’s factual self in real life whilst contemplating the on-line self on social media. Data were derived from a social survey of Vietnamese adults. The results indicate the remarkable mediating relationship from the level of editing self-images to three choices of intention to change the body image in real life....
CA-BPEL: A New Approach to Facilitate the Development and Execution of Context-Aware Service Orchestrations
Hossein Moradi, Bahman Zamani, Kamran Zamanifar
Acta Informatica Pragensia 2022, 11(1), 80-104 | DOI: 10.18267/j.aip.1743374
The proliferation of smartphones and sensor-based networks has led to a greater need for context-aware applications and pervasive business processes. One of the key approaches that seek to satisfy this need is context-aware service composition. Service composition can be achieved in two ways, i.e., service choreography and service orchestration. Embedding the context into an orchestrated composite service enhances its flexibility, but makes its development and execution more complicated. This study aims to reduce this complexity by introducing the CA-BPEL approach. Our proposed approach enables developers to turn a standard orchestrated service into...
Privacy Preservation and Access Control for Sharing Electronic Health Records Using Blockchain Technology
Insaf Boumezbeur, Karim Zarour
Acta Informatica Pragensia 2022, 11(1), 105-122 | DOI: 10.18267/j.aip.1764141
Sharing of Electronic Health Records (EHRs) is of significant importance in health care. Lately, a cloud-based electronic health record sharing scheme has been used extensively to share patient records among various healthcare organizations. However, cloud centralization may compromise patients’ privacy and security. Due to the special features of blockchain, it is important to see this technology as a promising solution to resolve these issues. This article proposes a privacy-preserving, secure EHR sharing and access control framework based on blockchain technology. The proposal aims to implement EHR blockchain technology and ensure that electronic...
Review
Personal Data as a Market Commodity in the GDPR Era: A Systematic Review of Social and Economic Aspects
Aleksei Zelianin
Acta Informatica Pragensia 2022, 11(1), 123-140 | DOI: 10.18267/j.aip.1684565
With the development of modern data processing, mining and collection technologies, various companies and institutions will have more opportunities to make these data operations faster and more efficiently. From the economic perspective, processing personal data is evidently lucrative and companies would therefore like to obtain as much data as possible. This paper analyses and summarizes existing and emerging social and economic trends, implications and issues caused by clashes between European legislation on personal data protection (the GDPR) and current data processing practices. Utilizing both quantitative and qualitative data, the article attempts...
Miscellanea
Call for Special Issue Papers: Deep Learning Blockchain-enabled Technology for Improved Healthcare Industrial Systems
Mazin Abed Mohammed, Seifedine Kadry, Oana Geman
Acta Informatica Pragensia 2022, 11(1), 141-144 | DOI: 10.18267/j.aip.1755601
The main objective of this special issue is to bring together diverse, novel and impactful research work on explainable deep learning for medicine based on the Internet of Medical Things, thereby accelerating research in this field. The regulation of Internet of Medical Things (IoMT) aware industrial networks for medical science applications has been evolving day by day. An IoMT industrial network consists of different bio-medical sensors, wireless technologies and cloud computing services to run different healthcare applications. However, IoMT industrial networks also suffer from dynamics uncertainties, such as intermittent changes in wireless network...
Call for Special Issue Papers: Sustainable Solutions for Internet of Things Using Artificial Intelligence and Blockchain in Future Networks
Venkatachalam Kandasamy, Mohamed Abouhawwash, Nebojsa Bacanin
Acta Informatica Pragensia 2022, 11(1), 145-148 | DOI: 10.18267/j.aip.1772892
The world is undergoing a thoughtful revolution with the arrival of the intelligent information era. The central realms accompanying smart living such as transportation, entertainment, healthcare and smart cities are projected to improve service quality assuring a high-end user experience. Future mobile networks are projected to foster the future of ubiquitously connected data-intensive intelligent society powered with complete automation by seamless integrating of all sorts of wireless networks spread over the ground, underwater, air and space. This special issue aims to bring together foremost researchers in academia and engineering from various...