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Topic Review
Heart Health Monitoring Service Platform
Heart Health Monitoring Service Platform is a concept that allows medical device manufacturers to offer diagnosis support for a range of diseases to healthcare providers. The proposed platform is based on heart rate monitoring and the diagnosis support is achieved with deep learning. 
  • 1.2K
  • 17 Feb 2021
Topic Review
The Internet of Things in Poland
One definition of the Internet of Things refers to devices that can be directly connected to the internet or other devices using wireless networks or, less frequently, cables. This definition of the IoT includes contemporary telephones, cameras, movement sensors, weather stations, even dishwashers, vehicles, industrial machinery, and daily outfits. Almost any object can get connected to the internet even if it was not manufactured as intended for the IOT, because in the majority of cases its functionality can be extended. The IOT has been growing dynamically, offering smart technological solutions. IoT-based applications are client-server operable which requires a specific communication protocol that can be used to determine a client-server communication model, allowing all clients to perform specific tasks thanks to communications via the internet. Poland’s rural areas that are diversified in terms of economic development are poorly equipped with basic infrastructure, which is a barrier to the functioning of people with limited mobility. 
  • 1.2K
  • 03 Aug 2022
Topic Review
Blockchain Overview
Blockchain technology integrates a hash algorithm, digital signature, point-to-point transmission, consensus mechanism, and other existing technologies, so it is characterized by anti-fraud, traceability, security, and trust. Supply chain refers to the network chain structure formed by upstream and downstream enterprises involved in the activities of providing products or services to end users in the process of production and circulation. 
  • 1.2K
  • 01 Dec 2022
Topic Review
Enhancing the Decision-Making Process through Industry 4.0 Technologies
In order to meet the increasingly complex expectations of customers, many companies must increase efficiency and agility. In this sense, Industry 4.0 technologies offer significant opportunities for improving both operational and decision-making processes. These developments make it possible to consider an increase in the level of operational systems and teams’ autonomy. However, the potential for strengthening the decision-making process by means of these new technologies remains unclear in the current literature. To fill this gap, a Delphi study using the Régnier Abacus technique was conducted with a representative panel of 24 experts. The novelty of this study was to identify and characterize the potential for enhancing the overall decision-making process with the main Industry 4.0 groups of technologies. Our results show that cloud computing appears as a backbone to enhance the entire decision-making process. However, certain technologies, such as IoT and simulation, have a strong potential for only specific steps within the decision-making process. This research also provides a first vision of the manager’s perspectives, expectations, and risks associated with implementing new modes of decision-making and cyber-autonomy supported by Industry 4.0 technologies.
  • 1.2K
  • 20 Jan 2022
Topic Review
ICTs in Agri-Food Logistics
A major challenge of Sustainable Development Goal 12 “Responsible Consumption and Production” is to reduce food losses along production and supply chains. This is particularly critical for fresh food products, due to their perishable and fragile nature, which makes the coordination of the actors all the more crucial to avoid wastes and losses. The rise of new technologies, referred to as “Industry 4.0” powered by the internet of things, big data analytics and artificial intelligence, could bring new solutions to meet these needs. Information and communication technologies (ICTs) allow for frequent exchanges of huge amounts of information between actors in the agrofood chains to coordinate their activities.
  • 1.2K
  • 02 Feb 2022
Topic Review
Technologies and AI for Human-Centered Digital Experiences
Human–computer interaction (HCI) and information and communication technologies (ICT) are experiencing a transition due to the emergence of innovative design paradigms that are affecting the way we interact with digital information. Immersive technologies, such as augmented reality (AR), virtual reality (VR), and mixed reality (MR), are considered the building blocks of modern digital experiences. Knowledge representation in a machine-interpretable format supports reasoning on knowledge sources to shape intelligent, user-centric information systems. From a human-centered perspective, these systems have the potential to dynamically adapt to the diverse and evolving needs of users. Simultaneously, the integration of artificial intelligence (AI) into ICT creates the foundation for new interaction technologies, information processing, and information visualization.
  • 1.2K
  • 09 Jan 2024
Topic Review
Blockchain and Smart Contracts
With the fast development of blockchain technology in the latest years, its application in scenarios that require privacy, such as health area, have become encouraged and widely discussed. An architecture to ensure the privacy of health-related data, which are stored and shared within a blockchain network in a decentralized manner, through the use of encryption with the Rivest-Shamir-Adleman (RSA), Elliptic Curve Cryptography (ECC), and Advanced Encryption Standard (AES) algorithms.
  • 1.2K
  • 11 Nov 2022
Topic Review
Blockchain Networks Privacy
One of the most widely researched areas in the field of blockchain networks is the domain of preserving blockchain privacy. The reason being the growing concern of several industries and business enterprises to protect their data and trade secrets from unauthorized access. 
  • 1.2K
  • 03 Aug 2021
Topic Review
Human-Smart Environment Interactions
In the context of the challenges facing human computer interaction (HCI) on the one hand and the future Internet on the other, the purpose of this study is to explore the multi-dimensionality of smart cities, looking at relationships and interdependencies through correlating selected dimensions of smartness. Through a review of the research literature, key dimensions of smartness are identified for exploration in the context of smart cities in this work. Methodologically, this work combines an exploratory case study approach consisting of multiple methods of data collection including survey and in-depth interviews, with an explanatory correlational design. In terms of results, the main findings of this work shed light on relationships between selected dimensions of the multi-dimensionality construct of smartness in data-rich urban environments. This work is significant in that it provides correlational information for smart city dimensionalities while contributing to the research literature in this domain; uses a hybrid case study and correlational design in relation to the study of multi-dimensionality; and opens spaces for the study of innovative urban initiatives, taking the ideas and experiences of people from many sectors into consideration.
  • 1.2K
  • 30 Oct 2020
Topic Review
IoT-Based Payment Protocols
Financial services and the payment industry are constantly evolving to meet customer requirements and to create a competitive advantage by providing better banking and financial services, improving operational efficiency and reducing costs. After plastic cards were successfully replaced by the mobile wallet (m-Wallet), the Internet of Things (IoT) leaves the door wide open for consumers to use their connected devices to access their bank accounts and perform routine banking activities from anywhere, anytime, and with any device.
  • 1.2K
  • 21 Nov 2022
Topic Review
Cloud-Native Future Networks
Cloud-native network design, which leverages network virtualization and softwarization together with the service-oriented architectural principle, is transforming communication networks to a versatile platform for converged network-cloud/edge service provisioning. Intelligent and autonomous management is one of the most challenging issues in cloud-native future networks, and a wide range of machine learning (ML)-based technologies have been proposed for addressing different aspects of the management challenge. It becomes critical that the various management technologies are applied on the foundation of a consistent architectural framework with a holistic vision. This calls for standardization of new management architecture that supports seamless the integration of diverse ML-based technologies in cloud-native future networks. The goal of this paper is to provide a big picture of the recent developments of architectural frameworks for intelligent and autonomous management for future networks.
  • 1.2K
  • 01 Mar 2021
Topic Review
EncFS
EncFS is a Free (LGPL) FUSE-based cryptographic filesystem. It transparently encrypts files, using an arbitrary directory as storage for the encrypted files. Two directories are involved in mounting an EncFS filesystem: the source directory, and the mountpoint. Each file in the mountpoint has a specific file in the source directory that corresponds to it. The file in the mountpoint provides the unencrypted view of the one in the source directory. Filenames are encrypted in the source directory. Files are encrypted using a volume key, which is stored either within or outside the encrypted source directory. A password is used to decrypt this key.
  • 1.2K
  • 27 Oct 2022
Topic Review
Authority-Based Conversation Tracking in Twitter
Twitter is undoubtedly one of the most widely used data sources to analyze human communication. The literature is full of examples where Twitter is accessed, and data are downloaded as the previous step to a more in-depth analysis in a wide variety of knowledge areas. Unfortunately, the extraction of relevant information from the opinions that users freely express in Twitter is complicated, both because of the volume generated—more than 6000 tweets per second—and the difficulties related to filtering out only what is pertinent to our research. Inspired by the fact that a large part of users use Twitter to communicate or receive political information, we created a method that allows for the monitoring of a set of users (which we will call authorities) and the tracking of the information published by them about an event. Our approach consists of dynamically and automatically monitoring the hottest topics among all the conversations where the authorities are involved, and retrieving the tweets in connection with those topics, filtering other conversations out. Although our case study involves the method being applied to the political discussions held during the Spanish general, local, and European elections of April/May 2019, the method is equally applicable to many other contexts, such as sporting events, marketing campaigns, or health crises.
  • 1.2K
  • 28 Oct 2020
Topic Review
Subject–Action–Object Structure and Patent Image Features
Patent application is one of the important ways to protect innovation achievements that have great commercial value for enterprises; it is the initial step for enterprises to set the business development track, as well as a powerful means to protect their core competitiveness. Manual measurement in patent detection is slow, costly, and subjective, and can only play an auxiliary role in measuring the validity of patents. Protecting the inventive achievements of patent holders and realizing more accurate and effective patent detection were the issues explored by academics. There are five main methods to measure patent similarity: clustering-based method, vector space model (VSM)-based method, subject–action–object (SAO) structure-based method, deep learning-based method, and patent structure-based method. 
  • 1.2K
  • 28 Nov 2023
Topic Review
Knowledge Management System in Small and Medium Enterprises
Knowledge is a key competitive advantage for small and medium enterprises (SMEs) as a way of competing with other organisations. There is a need to investigate SME adoption of knowledge management systems (KMSs). Knowledge management systems can only assist in this task if they are sufficiently adopted.
  • 1.1K
  • 22 Sep 2022
Topic Review
Attack Graph Based on Vulnerability Correlation
As network technology has advanced, and as larger and larger quantities of data are being collected, networks are becoming increasingly complex. Various vulnerabilities are being identified in such networks, and related attacks are continuously occurring. To solve these problems and improve the overall quality of network security, a network risk scoring technique using attack graphs and vulnerability information must be used. This technology calculates the degree of risk by collecting information and related vulnerabilities in the nodes and the edges existing in the network-based attack graph, and then determining the degree of risk in a specific network location or the degree of risk occurring when a specific route is passed within the network.
  • 1.1K
  • 25 Jul 2022
Topic Review
Spark Streaming Backpressure for Data-Intensive Pipelines
A significant rise in the adoption of streaming applications has changed the decision-making processes in the last decade. This movement has led to the emergence of several Big Data technologies for in-memory processing, such as the systems Apache Storm, Spark, Heron, Samza, Flink, and others. Spark Streaming, a widespread open-source implementation, processes data-intensive applications that often require large amounts of memory. However, Spark Unified Memory Manager cannot properly manage sudden or intensive data surges and their related in-memory caching needs, resulting in performance and throughput degradation, high latency, a large number of garbage collection operations, out-of-memory issues,  and data loss. This work presents a comprehensive performance evaluation of Spark Streaming backpressure to investigate the hypothesis that it could support data-intensive pipelines under specific pressure requirements.  The results reveal that backpressure is suitable only for small and medium pipelines for stateless and stateful applications. Furthermore, it points out the Spark Streaming limitations that lead to in-memory-based issues for data-intensive pipelines and stateful applications. In addition, the work indicates potential solutions.
  • 1.1K
  • 19 Jul 2022
Topic Review
Key Drivers of 6G Wireless Communication System
Wireless technology revolutionizes communication by enabling the transfer of data, signals, and information without physical cables or wires. It encompasses wireless communication between devices, utilizing radio frequency waves to create wireless networks that facilitate voice calls, text messaging, data transfer, and other forms of communication. Wireless technology has had a profound impact on personal and professional spheres, providing mobility and convenience, and has evolved through various generations, such as 2G, 3G, 4G, 5G, and the ongoing development of 6G, to deliver faster speeds, increased capacity, and advanced capabilities.
  • 1.1K
  • 06 Dec 2023
Topic Review
Blockchain-Based Data Management System for ETO Manufacturing
Engineer-to-order (ETO) is a currently popular production model that can meet customers’ individual needs, for which the orders are primarily non-standard parts or small batches. This production model has caused many management challenges, including the difficulty of tracing the production process data of products and the inability to monitor order status in real-time. 
  • 1.1K
  • 08 Oct 2022
Topic Review
A Generative Adversarial Network Technique for Ransomware Behavior Prediction
The ransomware attacks threaten not only personal files but also critical infrastructure like smart grids, necessitating early detection before encryption occurs. Current methods, reliant on pre-encryption data, suffer from insufficient and rapidly outdated attack patterns, despite efforts to focus on select features. Such an approach assumes that the same features remain unchanged. This approach proves ineffective due to the polymorphic and metamorphic characteristics of ransomware, which generate unique attack patterns for each new target, particularly in the pre-encryption phase where evasiveness is prioritized. 
  • 1.1K
  • 30 Oct 2023
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