| 1. |
- Perera, Charith, et al.
(författare)
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Guest Editorial Special Section on Engineering Industrial Big Data Analytics Platforms for Internet of Things
- 2018
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Ingår i: IEEE Transactions on Industrial Informatics. - : Institute of Electrical and Electronics Engineers (IEEE). - 1551-3203 .- 1941-0050. ; 14:2, s. 744-747
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Over the last few years, a large number of Internet of Things (IoT) solutions have come to the IoT marketplace. Typically, each of these IoT solutions are designed to perform a single or minimal number of tasks (primary usage). We believe a significant amount of knowledge and insights are hidden in these data silos that can be used to improve our lives; such data include our behaviors, habits, preferences, life patterns, and resource consumption. To discover such knowledge, we need to acquire and analyze this data together in a large scale. To discover useful information and deriving conclusions toward supporting efficient and effective decision making, industrial IoT platform needs to support variety of different data analytics processes such as inspecting, cleaning, transforming, and modeling data, especially in big data context. IoT middleware platforms have been developed in both academic and industrial settings in order to facilitate IoT data management tasks including data analytics. However, engineering these general-purpose industrial-grade big data analytics platforms need to address many challenges. We have accepted six manuscripts out of 24 submissions for this special section (25% acceptance rate) after the strict peerreview processes. Each manuscript has been blindly reviewed by at least three external reviewers before the decisions were made. The papers are briefly summarized.
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| 2. |
- Vinel, Alexey, 1983-, et al.
(författare)
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Enabling wireless communication and networking technologies for the internet of things : Guest editorial
- 2016
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Ingår i: IEEE wireless communications. - Piscataway : IEEE. - 1536-1284 .- 1558-0687. ; 23:5, s. 8-9
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- The Internet of Things (IoT) is enabling ubiquitous computing with a novel design paradigm to integrate global physical objects, cyber and social spaces, and machines. It may be envisaged as a web of trillions of machines that will communicate with each other. The major enabling technologies that are giving a flying kickstart to IoT are ad hoc and wireless sensor networks, short-range wireless communications, real-time systems, low power and energy harvesting, radio frequency identification, machine type communication, resource-constrained networks, and embedded software.
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| 3. |
- Chude-Okonkwo, Uche A. K., et al.
(författare)
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Information-Theoretic Model and Analysis of Molecular Signaling in Targeted Drug Delivery
- 2020
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Ingår i: IEEE Transactions on Nanobioscience. - : IEEE. - 1536-1241 .- 1558-2639. ; 19:2, s. 270-284
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Tidskriftsartikel (refereegranskat)abstract
- Targeted drug delivery (TDD) modality promises a smart localization of appropriate dose of therapeutic drugs to the targeted part of the body at reduced system toxicity. To achieve the desired goals of TDD, accurate analysis of the system is important. Recent advances in molecular communication (MC) present prospects to analyzing the TDD process using engineering concepts and tools. Specifically, the MC platform supports the abstraction of TDD process as a communication engineering problem in which the injection and transportation of drug particles in the human body and the delivery to a specific tissue or organ can be analyzed using communication engineering tools. In this paper we stand on the MC platform to present the information-theoretic model and analysis of the TDD systems. We present a modular structure of the TDD system and the probabilistic models of the MC-abstracted modules in an intuitive manner. Simulated results of information-theoretic measures such as the mutual information are employed to analyze the performance of the TDD system. Results indicate that uncertainties in drug injection/release systems, nanoparticles propagation channel and nanoreceiver systems influence the mutual information of the system, which is relative to the system’s bioequivalence measure.
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| 4. |
- Chang, Weng-Long, et al.
(författare)
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Quantum Speedup and Mathematical Solutions from Implementing Bio-molecular Solutions for the Independent Set Problem on IBM’s Quantum Computers
- 2021
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Ingår i: IEEE Transactions on Nanobioscience. - : IEEE. - 1536-1241 .- 1558-2639. ; 20:3, s. 354-376
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Tidskriftsartikel (refereegranskat)abstract
- In this paper, we propose a bio-molecular algorithm with O(n2 + m) biological operations, O(2n) DNA strands, O(n) tubes and the longest DNA strand, O(n), for solving the independent-set problem for any graph G with m edges and n vertices. Next, we show that a new kind of the straightforward Boolean circuit yielded from the bio-molecular solutions with m NAND gates, (m + n × (n +1)) AND gates and ((n × (n + 1)) / 2) NOT gates can find the maximal independent-set(s) to the independent-set problem for any graph G with m edges and n vertices. We show that a new kind of the proposed quantum-molecular algorithm can find the maximal independent set(s) with the lower bound O(2n/2) queries and the upper bound Ω(2n/2) queries. This work offers an obvious evidence that to solve the independent-set problem in any graph G with m edges and n vertices, bio-molecular computers are able to generate a new kind of the straightforward Boolean circuit such that by means of implementing it quantum computers can give a quadratic speed-up. This work also offers one obvious evidence that quantum computers can significantly accelerate the speed and enhance the scalability of bio-molecular computers. Furthermore, to justify the feasibility of the proposed quantum-molecular algorithm, we successfully solve a typical independent set problem for a graph G with three vertices and two edges by carrying out experiments on the backend ibmqx4 with five quantum bits and the backend simulator with 32 quantum bits on IBM’s quantum computer.
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| 5. |
- Gong, Xueyuan, et al.
(författare)
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Normalized Cross-Match : Pattern Discovery Algorithm from Biofeedback Signals
- 2016
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Ingår i: Trends and Applications in Knowledge Discovery and Data Mining. - Cham : Encyclopedia of Global Archaeology/Springer Verlag. - 9783319429953 - 9783319429960 ; , s. 169-180
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Konferensbidrag (refereegranskat)abstract
- Biofeedback signals are important elements in critical care applications, such as monitoring ECG data of a patient, discovering patterns from large amount of ECG data sets, detecting outliers from ECG data, etc. Because the signal data update continuously and the sampling rates may be different, time-series data stream is harder to be dealt with compared to traditional historical time-series data. For the pattern discovery problem on time-series streams, Toyoda proposed the CrossMatch (CM) approach to discover the patterns between two time-series data streams (sequences), which requires only O(n) time per data update, where n is the length of one sequence. CM, however, does not support normalization, which is required for some kinds of sequences (e.g. EEG data, ECG data). Therefore, we propose a normalized-CrossMatch approach (NCM) that extends CM to enforce normalization while maintaining the same performance capabilities
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| 6. |
- Du, Rong, 1989-, et al.
(författare)
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The sensable city : A survey on the deployment and management for smart city monitoring
- 2019
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Ingår i: IEEE Communications Surveys and Tutorials. - : IEEE. - 1553-877X. ; 21:2, s. 1533-1560
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Tidskriftsartikel (refereegranskat)abstract
- In last two decades, various monitoring systems have been designed and deployed in urban environments, toward the realization of the so called smart cities. Such systems are based on both dedicated sensor nodes, and ubiquitous but not dedicated devices such as smart phones and vehicles’ sensors. When we design sensor network monitoring systems for smart cities, we have two essential problems: node deployment and sensing management. These design problems are challenging, due to large urban areas to monitor, constrained locations for deployments, and heterogeneous type of sensing devices. There is a vast body of literature from different disciplines that have addressed these challenges. However, we do not have yet a comprehensive understanding and sound design guidelines. This article addresses such a research gap and provides an overview of the theoretical problems we face, and what possible approaches we may use to solve these problems. Specifically, this paper focuses on the problems on both the deployment of the devices (which is the system design/configuration part) and the sensing management of the devices (which is the system running part). We also discuss how to choose the existing algorithms in different type of monitoring applications in smart cities, such as structural health monitoring, water pipeline networks, traffic monitoring. We finally discuss future research opportunities and open challenges for smart city monitoring.
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| 7. |
- Acampora, Giovanni, et al.
(författare)
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Preface
- 2020
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Ingår i: Computational Intelligence for Semantic Knowledge Management. - : Springer Nature. ; , s. vii-x
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Bokkapitel (övrigt vetenskapligt/konstnärligt)
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| 8. |
- Bera, Basudeb, et al.
(författare)
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Designing Blockchain-Based Access Control Protocol in IoT-Enabled Smart-Grid System
- 2021
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Ingår i: IEEE Internet of Things Journal. - : IEEE. - 2327-4662. ; 8:7, s. 5744-5761
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Tidskriftsartikel (refereegranskat)abstract
- We design a new blockchain-based access control protocol in IoT-enabled smart-grid system, called DBACP-IoTSG. Through the proposed DBACP-IoTSG, the data is securely brought to the service providers from their respective smart meters (SMs). The peer-to-peer (P2P) network is formed by the participating service providers, where the peer nodes are responsible for creating the blocks from the gathered data securely from their corresponding SMs and adding them into the blockchain after validation of the blocks using the voting-based consensus algorithm. In our work, the blockchain is considered as private because the data collected from the consumers of the SMs are private and confidential. By the formal security analysis under the random oracle model, nonmathematical security analysis and software-based formal security verification, DBACP-IoTSG is shown to be resistant against various attacks. We carry out the experimental results of various cryptographic primitives that are needed for comparative analysis using the widely used multiprecision integer and rational arithmetic cryptographic library (MIRACL). A detailed comparative study reveals that DBACP-IoTSG supports more functionality features and provides better security apart from its low communication and computation costs as compared to recently proposed relevant schemes. In addition, the blockchain implementation of DBACP-IoTSG has been performed to measure computational time needed for the varied number of blocks addition and also the varied number of transactions per block in the blockchain.
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| 9. |
- Chakraborty, Rajat Subhra, et al.
(författare)
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Preface
- 2019
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Ingår i: Internet of Things. - : Springer International Publishing. - 2199-1073 .- 2199-1081. ; , s. v-ix
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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| 10. |
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Computational Intelligence for Semantic Knowledge Management : New Perspectives for Designing and Organizing Information Systems
- 2020
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Samlingsverk (redaktörskap) (övrigt vetenskapligt/konstnärligt)abstract
- This book provides a comprehensive overview of computational intelligence methods for semantic knowledge management. Contrary to popular belief, the methods for semantic management of information were created several decades ago, long before the birth of the Internet. In fact, it was back in 1945 when Vannevar Bush introduced the idea for the first protohypertext: the MEMEX (MEMory + indEX) machine. In the years that followed, Bush’s idea influenced the development of early hypertext systems until, in the 1980s, Tim Berners Lee developed the idea of the World Wide Web (WWW) as it is known today. From then on, there was an exponential growth in research and industrial activities related to the semantic management of the information and its exploitation in different application domains, such as healthcare, e-learning and energy management. However, semantics methods are not yet able to address some of the problems that naturally characterize knowledge management, such as the vagueness and uncertainty of information. This book reveals how computational intelligence methodologies, due to their natural inclination to deal with imprecision and partial truth, are opening new positive scenarios for designing innovative semantic knowledge management architectures.
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