Noninvasive monitoring methods can potentially improve the quality of patient care for noncommunicable diseases such as diabetes and chronic kidney disease. However, many communities most affected by noncommunicable d...
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distributed combined cooling, heating, and power (CCHP) systems are expected to be widely adopted in the building sector in the near term owing to the superiors of the combined CCHP systems over the conventional syste...
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the distributed network control in software-defined networking is greatly challenged by the design demands of evolving a running distributed control plane (DCP), and by the complexity of handling the control state dyn...
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ISBN:
(纸本)9781665477260
the distributed network control in software-defined networking is greatly challenged by the design demands of evolving a running distributed control plane (DCP), and by the complexity of handling the control state dynamics. In this paper, we propose RIFFLE to address the problem using a distributed network operating system approach. RIFFLE enables the evolvability of control states of DCP deployed on a global scale. RIFFLE handles spatial and temporal dynamics that occur when updating and migrating the distributed control states, which overcomes the critical barrier to the evolvability. It fills the gap by enabling temporal reconfigurability in DCP. Moreover, RIFFLE reduces the complexities of building and maintaining network control services in DCP by enabling componentization and abstracting the underlying network dynamics. We evaluated the prototype RIFFLE through experiments running in PlanetLab. the results show that the prototype scales well for 135 nodes. We also validate that RIFFLE ensures the continuity and low content request delay for the supported the information-centric network supported during cache update periods owing to the enabled evolvability.
In order to improve the precision and efficiency of fault diagnosis of distributed photovoltaic (PV) systems, an efficient fault diagnosis model is constructed by combining the classification ability of support vector...
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ISBN:
(数字)9798331533113
ISBN:
(纸本)9798331533120
In order to improve the precision and efficiency of fault diagnosis of distributed photovoltaic (PV) systems, an efficient fault diagnosis model is constructed by combining the classification ability of support vector machine and the advantages of distributedcomputing. the analysis results show that the model has a classification accuracy of 97.6%, a recall of 96.5% and an F1 value of 96.8% on the experimental dataset, which can adapt to a variety of operating states and fault scenarios, and maintains a high diagnostic performance under the condition of multiple fault superposition, with a classification accuracy of 91.8%-94.2%, demonstrating a strong applicability and robustness, and providing a reliable technological support for the intelligent operation and maintenance of PV systems. It shows strong applicability and robustness, and provides reliable technical support for intelligent operation and maintenance of PV systems.
Wireless sensor networking is a key enabler of Industrial IoT. IETF (Internet Engineering Task Force) has standardized a protocol suite called 6TiSCH (IPv6 over the TSCH mode of ieee802.15.4e). 6TiSCH builds an IPv6 m...
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ISBN:
(纸本)9781665439299
Wireless sensor networking is a key enabler of Industrial IoT. IETF (Internet Engineering Task Force) has standardized a protocol suite called 6TiSCH (IPv6 over the TSCH mode of ieee802.15.4e). 6TiSCH builds an IPv6 multi-hop wireless network withthe ieee802.15.4 radio, which achieves low energy consumption and high reliability. Although network formation time is one of key performance indicators of wireless sensor networks, it has not been studied well with 6TiSCH standard protocols such as MSF (6TiSCH Minimal Scheduling Function) and CoJP (Constrained Join Protocol). In this paper, we propose a scheduling function called SF-Fastboot which shortens network formation time of 6TiSCH. We evaluate SF-Fastboot by simulation comparing with MSF, the state-of-the-art scheduling function. the simulation shows SF-Fastboot reduces network formation time by 41 % - 80 %.
MECs enable the connectivity of mobile networks components with Web accessibility in 5G and later by reducing the workload on the core processor units (CPU) just at information centers base. the protection of individu...
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the effect of environmental change in WiFi signal is a major obstacle for generalized WiFi-based activity recognition. In this paper, we propose a novel method for adapting a WiFi-based activity classifier, that is tr...
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ISBN:
(纸本)9781665439299
the effect of environmental change in WiFi signal is a major obstacle for generalized WiFi-based activity recognition. In this paper, we propose a novel method for adapting a WiFi-based activity classifier, that is trained on a large-scale dataset for an environment, to a new environment with only one labeled sample per activity. To this end, we propose a novel representation extraction algorithm using the supervision of visual data during the training phase. Our proposed feature extraction explicitly learns the corresponding relation between WiFi signal and movement of human body parts. For environment adaptation, we propose a framework that relies on only one labeled sample per activity class in comparison with current state-of-the-art solutions which are not suitable for few-shot adaptation. We collect data from four volunteers from five different environments and show that our proposed solution is able to achieve 28% higher accuracy than state-of-the-art solutions for environmental adaptation.
Internet of things (IoT) Wearable technology plays a crucial role in assisting the diagnosis of Parkinson's disease (PD), and an efficient model for auxiliary diagnosis of the severity of PD can help reduce the wo...
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Recently, the Internet of things (IoT) arose as paradigm to evolve the daily tasks and to deploy new intelligent services in the environments, turning them into Smart Environments (SEs). A SE is composed of heterogene...
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ISBN:
(纸本)9781665439299
Recently, the Internet of things (IoT) arose as paradigm to evolve the daily tasks and to deploy new intelligent services in the environments, turning them into Smart Environments (SEs). A SE is composed of heterogeneous wireless devices, where part of them are mobile. these heterogeneous devices suffer a problem of cross-interference, since most of them use the 2.4 GHz Industrial, Scientific and Medical bands ISM for communication. the cross-interference problem affects directly the Quality of Service (QoS), mainly the low transmission power devices that provide the basis of the services running on the top of the network. Within this context, this paper presents the Scalable Cross-Interference Mitigation (SCIM), an algorithm to mitigate the cross-interference problem in smart environments. the SCIM algorithm considers the mobility of the devices and their communication capacity to perform a scalable wireless channels assignment. the results, from the experiments performed, suggest that the SCIM algorithm minimizes the total interference of the SE, while increases the packet delivery, when compared to existing approaches.
Satellite-Terrestrial Integrated Networks (STINs) integrate satellite networks, the Internet, and mobile wireless networks and are able to provide powerful services to users. In STIN, satellite gateways play an import...
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