| 1. |
- Chithaluru, Premkumar, et al.
(författare)
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An Optimized Privacy Information Exchange Schema for Explainable AI Empowered WiMAX-based IoT networks
- 2023
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Ingår i: Future Generation Computer Systems. - : Elsevier. - 0167-739X. ; 148, s. 225-239
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Tidskriftsartikel (refereegranskat)abstract
- The Internet of Things (IoT) has recently surpassed wired communication. WiMAX is a wireless transmission technology that allows for faster internet access. Wireless network innovations, like some other communication networks, are not safe and secure. Security and authorization models are intended to prevent unauthorized use of network services. Numerous authorization and encrypted communication mechanisms have been introduced for WiMAX privacy, but the communication systems are still insecure and vulnerable to attacks such as zero-day attacks, rouge base station attacks, Man in the Middle (MITM) attacks, and Denial of Service (DoS) attacks. Wireless technologies have come a long way in the last few decades. Because most wireless transmission systems rely on radio signals, the system channel is essentially vulnerable to interception. As a result, data security is always critical in the presentation of a system. Because WiMAX is a wireless communication technology, it is particularly vulnerable to interception, so security is a top priority. Individuals must be protected from security breaches that occur across network interfaces, networking devices, and everything in between. Robust security management is required to protect WiMAX from attacks and vulnerabilities, despite the fact that emerging Artificial Intelligence (AI) technologies necessitate different security governance than existing technologies. We proposed an Optimized Privacy Information Exchange Schema for Explainable AI Empowered WiMAX-based IoT that addresses vulnerabilities and threats during the identification and authorization phases to improve the functionality and performance characteristics of the traditional system. The Scyther tool was used to validate the proposed privacy scheme, which is safer and more secure than existing systems.
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| 2. |
- Raza, Ahmad, et al.
(författare)
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Spectrum Evaluation in CR-Based Smart Healthcare Systems Using Optimizable Tree Machine Learning Approach
- 2023
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Ingår i: Sensors. - : MDPI Multidisciplinary Digital Publishing Institute. - 1424-3210. ; 23:17
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Tidskriftsartikel (refereegranskat)abstract
- The rapid technological advancements in the current modern world bring the attention of researchers to fast and real-time healthcare and monitoring systems. Smart healthcare is one of the best choices for this purpose, in which different on-body and off-body sensors and devices monitor and share patient data with healthcare personnel and hospitals for quick and real-time decisions about patients' health. Cognitive radio (CR) can be very useful for effective and smart healthcare systems to send and receive patient's health data by exploiting the primary user's (PU) spectrum. In this paper, tree-based algorithms (TBAs) of machine learning (ML) are investigated to evaluate spectrum sensing in CR-based smart healthcare systems. The required data sets for TBAs are created based on the probability of detection (Pd) and probability of false alarm (Pf). These data sets are used to train and test the system by using fine tree, coarse tree, ensemble boosted tree, medium tree, ensemble bagged tree, ensemble RUSBoosted tree, and optimizable tree. Training and testing accuracies of all TBAs are calculated for both simulated and theoretical data sets. The comparison of training and testing accuracies of all classifiers is presented for the different numbers of received signal samples. Results depict that optimizable tree gives the best accuracy results to evaluate the spectrum sensing with minimum classification error (MCE).
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| 3. |
- Ahmad, Awais, 1981-, et al.
(författare)
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Exploring the Medical Caregivers' Perceptions of Technology Acceptance for an Online Speech and Language Assessment Application Among Stroke Patients
- 2023
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Ingår i: International Journal on Advances in Life Sciences. - : International Academy, Research and Industry Association (IARIA). - 1942-2660. ; 15:1-2, s. 1-10
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Tidskriftsartikel (refereegranskat)abstract
- Stroke is a globally increasing disease and speech and language deficiencies are common in stroke survivors. To facilitate medical caregivers in their professional work and to improve patients’ quality of life, technology can play an important role. However, the use and acceptance of technology are uncertain and more research is needed in this direction. This study evaluates the technology acceptance and adoption of an online speech and language assessment application. The evaluation-focused Design Science Research strategy was adopted for that purpose. Two physiotherapists, one occupational therapist and three speech therapists participated in the study. The Unified Theory of Acceptance and Use of Technology (UTAUT) was used as the theoretical base for interview questions formation and data analysis. The study findings show that the suggested application is useful and easy to use; however, it should be better synchronised with speech therapists’ daily work routines. The speech therapists stressed that the functionalities of the application should be designed in close collaboration with them, and it should be compatible with the already existing systems and services in place. Due to impairments after stroke, the patients have some specific preferences for software and hardware; such as a tablet with a touch pen is the preferred hardware. Additionally, the interface should have bigger text fonts and pictures, and highly contrastive colours in the graphics should be used for patients’ convenience. The user’s privacy and security, the patient’s current health, and their previous knowledge and experience with technology were also found important determinants for the intention to use the given technology.
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| 4. |
- Hashmi, Muhammad Usman, et al.
(författare)
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Concomitant Skew and Phase Correction (CSPC) for Industry 5.0 Enabler Pervasive Distributed Computing Systems
- 2023
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Ingår i: IEEE Transactions on Consumer Electronics. - : Institute of Electrical and Electronics Engineers Inc.. - 0098-3063. ; 70:1, s. 1511-1518
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Tidskriftsartikel (refereegranskat)abstract
- Synchronizing time among pervasive distributed computing nodes is critical and also a key enabler for proper functioning and coordination in an Industry 5.0 environment. It enables distributed data logging, coordination of distributed algorithms, and event driven interactions in a synchronized manner which is not possible without having a common notion of time in an Industry 5.0 environment. Synchronization ensures that data generated by pervasive nodes is consistent and accurate. Diverse synchronization methods are available, however, these existing methods use multiple timestamp exchanges for correction of clock skew. Concomitant Skew and Phase Correction (CSPC) method proposed in this article uses Phase Embedded and Skew Estimated Timestamp (PESET). In contrary to existing methods, single PESET is sufficient to compute clock skew offset along with phase offset at the receiving node. The experimental results also validate single PESET can be used instead of multiple timestamp exchanges in low latency Industry 5.0 environments. This does not only lead to save the computational resources of the Industry 5.0 environments, also enable them as energy efficient networks.
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| 5. |
- Nawaz, Muhammad Ul Saqlain, et al.
(författare)
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Efficient resource prediction framework for software-defined heterogeneous radio environmental infrastructures
- 2023
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Ingår i: Advanced Engineering Informatics. - : Elsevier Ltd.. - 1474-0346. ; 56
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Tidskriftsartikel (refereegranskat)abstract
- Artificial Intelligence (AI) is defining the future of next-generation infrastructures as proactive and data-driven systems. AI-empowered radio systems are replacing the existing command and control radio networks due to their intelligence and capabilities to adapt to the radio environmental infrastructures that include intelligent networks, smart cities and AV/VR enabled factory premises or localities. An efficient resource prediction framework (ERPF) is proposed to provide proactive knowledge about the availability of radio resources in such software-defined heterogeneous radio environmental infrastructures (SD-HREIs). That prior information enables the coexistence of radio users in SD-HREIs. In a proposed framework, the radio activity is measured in both the unlicensed bands that include 2.4 and 5 GHz, respectively. The clustering algorithms k- means and DBSCAN are implemented to segregate the already measured radioactivity as signal (radio occupancy) and noise (radio opportunity). Machine learning techniques CNN and LRN are then trained and tested using the segregated data to predict the radio occupancy and radio opportunity in SD-HREIs. Finally, the performance of CNN and LRN is validated using the cross-validation metrics.
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| 6. |
- Sennersten, Charlotte, et al.
(författare)
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Digital Data Literacy
- 2023
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Ingår i: Högskolepedagogisk debatt. - : Kristianstad University Press. - 2000-9216. ; 2023:1, s. 27-37
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- In the name of Kristianstad University’s (HKR) profile ”The Centre for Food, Health, Retail at Kristianstad University” (FOHRK) and Higher Education Research and Development (HERD) we will here introduce the digital literary with its digital skills from a Computer Science’s lens with focus on the data literacy and its modelling to share what we are problematizing around in our daily work context with colleagues and students.
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| 7. |
- Younas, Muhammad Irfan, et al.
(författare)
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Toward QoS Monitoring in IoT Edge Devices Driven Healthcare : A Systematic Literature Review
- 2023
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Ingår i: Sensors. - : MDPI Multidisciplinary Digital Publishing Institute. - 1424-3210. ; 23:21, s. 1-33
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Forskningsöversikt (refereegranskat)abstract
- Smart healthcare is altering the delivery of healthcare by combining the benefits of IoT, mobile, and cloud computing. Cloud computing has tremendously helped the health industry connect healthcare facilities, caregivers, and patients for information sharing. The main drivers for implementing effective healthcare systems are low latency and faster response times. Thus, quick responses among healthcare organizations are important in general, but in an emergency, significant latency at different stakeholders might result in disastrous situations. Thus, cutting-edge approaches like edge computing and artificial intelligence (AI) can deal with such problems. A packet cannot be sent from one location to another unless the "quality of service" (QoS) specifications are met. The term QoS refers to how well a service works for users. QoS parameters like throughput, bandwidth, transmission delay, availability, jitter, latency, and packet loss are crucial in this regard. Our focus is on the individual devices present atdifferent levels of the smart healthcare infrastructure and the QoS requirements of the healthcare system as a whole. The contribution of this paper is five-fold: first, a novel pre-SLR method for comprehensive keyword research on subject-related themes for mining pertinent research papers for quality SLR; second, SLR on QoS improvement in smart healthcare apps; third a review of several QoS techniques used in current smart healthcare apps; fourth, the examination of the most important QoS measures in contemporary smart healthcare apps; fifth, offering solutions to the problems encountered in delivering QoS in smart healthcare IoT applications to improve healthcare services.
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| 8. |
- Zahid, Noman, et al.
(författare)
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Zero-Energy Devices For 6G as Reality : Opportunities, Challenges, and Solutions
- 2023
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Konferensbidrag (refereegranskat)abstract
- Zero-energy devices do not require any batteries or manual charging. To generate power, these devices can get energy from the surrounding world. This research describes an in-depth review of the upcoming zero-energy devices for future networks, especially for 6G networks. It explains different applications and use cases of these zero-energy devices and their interaction with 6G in the real world.
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