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Topic Review
Security and Privacy of Technologies in HISs
Health information systems (HISs) have immense value for healthcare institutions, as they provide secure storage, efficient retrieval, insightful analysis, seamless exchange, and collaborative sharing of patient health information. HISs are implemented to meet patient needs, as well as to ensure the security and privacy of medical data, including confidentiality, integrity, and availability, which are necessary to achieve high-quality healthcare services.
  • 1.1K
  • 19 Feb 2024
Topic Review
Blockchain-Based Internet of Medical Things
The Internet of Things (IoT) or other decentralized platforms may be employed in this context for achieving dispersed coverage. In light of this, healthcare systems are a crucial IoT application. Internet of Medical Things (IoMT) is the kind of IoT that is used in the healthcare industry. IoMTs are the wave of the future in healthcare since they will enable the connectivity and remote monitoring of all medical equipment. Due to these developments, healthcare may now be provided more rapidly and at a lower cost. Medical workers (nurses, physicians, etc.), medical data servers, and medical sensor equipment make up the bulk of an IoMT system that provides remote healthcare.
  • 1.1K
  • 06 Feb 2023
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
Kubity
Kubity is a cloud-based 3D communication tool that works on desktop computers, the web, smartphones, tablets, augmented reality gear, and virtual reality glasses. Kubity is powered by several proprietary 3D processing engines including "Paragone" and "Etna" that prepare the 3D file for transfer over mobile devices. Kubity has practical applications for architecture, interior design, engineering, product design, film, and video games among others. The majority of its users create 3D models using SketchUp or Autodesk Revit software. Kubity products include the Kubity web app and Kubity Go (a mobile application for iOS and Android). Kubity is compatible across many platforms, devices and operating systems including: iOS, Android, Firefox, Chrome, Windows, MacOS, and Linux.
  • 1.1K
  • 07 Nov 2022
Topic Review
RAFI: Robust Authentication Framework for IoT-Based RFID Infrastructure
The Internet of Things (IoT) is a future trend that uses the Internet to connect a variety of physical things with the cyber world. IoT technology is rapidly evolving, and it will soon have a significant impact on our daily lives. While the growing number of linked IoT devices makes our daily lives easier, it also puts our personal data at risk. In IoT applications, Radio Frequency Identification (RFID) helps in the automatic identification of linked devices, and the dataflow of the system forms a symmetry in communication between the tags and the readers. However, the security and privacy of RFID-tag-connected devices are the key concerns. The communication link is thought to be wireless or insecure, making the RFID system open to several known threats.
  • 1.1K
  • 23 May 2022
Topic Review
Semantic Modeling, Simulation and Cybersecurity in the IoUT
As maritime and military missions become more and more complex and multi-factorial over the years, there has been a high interest in the research and development of (autonomous) unmanned underwater vehicles (UUVs). Latest efforts concern the modeling and simulation of UUVs’ collaboration in swarm formations, towards obtaining deeper insights related to the critical issues of cybersecurity and interoperability. The research topics, which are constantly emerging in this domain, are closely related to the communication, interoperability, and secure operation of UUVs, as well as to the volume, velocity, variety, and veracity of data transmitted in low bit-rate due to the medium, i.e., the water. 
  • 1.1K
  • 09 Jan 2023
Topic Review
Personalization of User Interface and Clustering of Users
Adaptive user interfaces (AUIs) are defined as user interfaces that can change according to user activities. They are designed to adapt to the needs of individual users or groups of users based on their preferences, behavior, and context. These interfaces provide an optimal user experience by adapting interface elements, including layout, content, and functionality, to align with users’ needs and goals. 
  • 1.1K
  • 01 Mar 2024
Topic Review
Epileptic seizures and deep learning
Chronic diseases are growing exponentially. Today, there are over 900 million individuals suffering with some chronic diseases around the world. For this reason, e-health systems are being developed to design a better quality of life for patients. For instance, we have systems for detection of epilepsy, monitoring of vital signs, control of diabetes, among others. Deep learning has being an important technique embedded in these systems to predict and sort the data without the need of a 24-hour monitoring specialist. However, by combining e-health systems and deep learning techniques also brings several challenges that need to be overcome. 
  • 1.1K
  • 05 Nov 2022
Topic Review
Semantic Search and SemSime
This paper presents SemSime, a semantic similarity method for searching over a setof digital resources previously annotated by means of concepts from a weighted reference ontology.It is based on a frequency approach for weighting the ontology, and refines both the user request and the annotations of the digital resources with rating scores. Such scores are High, Medium, and Low and, in the user request, indicate the preferences assigned by the user to each of the concepts representing the searching criteria whereas, in the annotations of the digital resources, they represent the levels of quality associated with each concept in describing the resources. The experiment we have performed shows that SemSime outperforms the previous semantic search method SemSim.
  • 1.1K
  • 29 Oct 2020
Topic Review
Comparison of Document Markup Languages
The following tables compare general and technical information for a number of document markup languages. Please see the individual markup languages' articles for further information.
  • 1.1K
  • 23 Oct 2022
Topic Review
Concept Extraction in Education
In the education field, foundational subject-related knowledge reflects concepts frequently expressed as single words or phrases. Educational concepts must be blended into learning and instructional practices; students’ inadequate conceptual understanding can cause them to forget information during the learning process. Similarly, instructors can enhance learning materials’ quality through a clear sense of subject-specific concepts. Extracting concepts from various subject areas based on extensive unstructured text is thus critical for instructors and students, especially to enrich teaching and learning activities.
  • 1.1K
  • 24 Nov 2023
Topic Review
IoT and cloud for e-health
The world population's life expectancy has gradually increased. According to the World Health Organization (WHO), the life expectation will reach 90 years by 2030, and this quality of life is one of most important aging aspects. The academic and business communities are devoting many efforts to develop new applications that promote quality of life for this portion of the population; services, such as vital signs monitoring, fall detection systems, heart attacks, among others, are increasingly in evidence. Most of these e-health systems are focused on intelligent devices - Internet of Things (IoT). However, IoT by itself is not able to process, store and guarantee the quality of service of these services due to hardware capacity limitations. So, to mitigate this issue, IoT has two major allies in order to be able to provide e-health services with high availability and quality, fog and cloud computing. This paper presents in progress e-health architecture using IoT for data acquisition, fog for data pre-processing and short-term storage, and cloud for data processing, analyze and long-term storage. We also describe main challenges to provide an e-health application with high availability, high performance and accessibility, at low deployment and maintenance cost.
  • 1.1K
  • 23 Mar 2021
Topic Review
E-service Satisfaction Model
Customer satisfaction is regarded as one determining factor in the success of businesses. Therefore, customer satisfaction is considered one of the most critical features that determine the success of activities conducted by online businesses for cross-border e-commerce. 
  • 1.1K
  • 23 Dec 2021
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.
  • 1.1K
  • 09 Jan 2024
Topic Review
Federated Few-Shot Learning-Based Machinery Fault Diagnosis
Researchers present a novel federated few-shot learning-based machinery fault-diagnosis scheme, named FedCDAE-MN, which utilizes a combination of convolutional denoising auto-encoder and feature-space metric learning across multiple domains.
  • 1.1K
  • 07 Oct 2023
Topic Review
LiFi- and WiFi-Based Communication P2P Networks
Peer-to-Peer (P2P) networks have emerged as potential solutions to issues that cause inefficient download times in networks because they can use the resources in the entire network, allowing nodes to act both as servers and clients simultaneously.
  • 1.1K
  • 31 Jul 2023
Topic Review
Big Data Achieve's Sustainable Farming
The world’s population is increasing day by day and most of this increase is occurring in developing countries. It is expected that the future income levels of the world's population will keep rising of what they are now; and to feed this larger and better-off population, food production must also massively increase. Therefore, agricultural research and development should be one of the prime focus in developing countries, with investments coming from both public and private sectors, ensuring smallholder farmers to get timely advice on their queries and access to new agriculture techniques and technologies. This article points to a few of the key obstacles for developing counties in adopting digital agriculture technologies; and argues that the application of big data to the agriculture sector in developing countries is beneficial to achieve sustainable and increased food production.
  • 1.0K
  • 04 Jun 2021
Topic Review
Troubleshooting Chatbots Applied to ATM Technical Maintenance Support
The banking industry has been employing artificial intelligence (AI) technologies to enhance the quality of its services. AI algorithms, such as natural language understanding (NLU), have been integrated into chatbots to improve banking applications. 
  • 1.0K
  • 21 Jun 2023
Topic Review
Massive Open Online Courses
Massive open online courses (MOOCs) is generally recognized as one of the most recent developmental phases of open educational resources that have tremendously transformed higher education institutions and significantly minimized the spiraling costs of learning. It is reshaping the quality of teaching and learning experiences for students and it provides a wide diversity of high-quality courses and valuable learning materials for the diverse needs of students
  • 1.0K
  • 14 Apr 2022
Topic Review
Decentralized Blockchain-Based IoT Data Marketplaces
In present times, the largest amount of data is being controlled in a centralized manner. However, as the data are in essence the fuel of any application and service, there is a need to make the data more findable and accessible. Another problem with the data being centralized is the limited storage as well as the uncertainty of their authenticity. In the Internet of Things (IoT) sector specifically, data are the key to develop the most powerful and reliable applications. For these reasons, there is a rise on works that present decentralized marketplaces for IoT data with many of them exploiting blockchain technology to offer security advantages.
  • 1.0K
  • 11 Aug 2022
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