- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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[IEEE 2019 6th International Conference on Advanced Control Circuits and Systems (ACCS) & 2019 5th International Conference on New Paradigms in Electronics & information Technology (PEIT) - Hurgada, Egypt (2019.11.17-2019.11.20)] 2019 6th International Conference on Advanced Control Circuits and Systems (ACCS) & 2019 5th International Conference on New Paradigms in Electronics & information Technology (PEIT) - Co-Planar Waveguide Resonator to Mediate Coupling between Superconducting Quantum Bits
摘要： Cloud data owners prefer to outsource documents in an encrypted form for the purpose of privacy preserving. Therefore it is essential to develop efficient and reliable ciphertext search techniques. One challenge is that the relationship between documents will be normally concealed in the process of encryption, which will lead to significant search accuracy performance degradation. Also the volume of data in data centers has experienced a dramatic growth. This will make it even more challenging to design ciphertext search schemes that can provide efficient and reliable online information retrieval on large volume of encrypted data. In this paper, a hierarchical clustering method is proposed to support more search semantics and also to meet the demand for fast ciphertext search within a big data environment. The proposed hierarchical approach clusters the documents based on the minimum relevance threshold, and then partitions the resulting clusters into sub-clusters until the constraint on the maximum size of cluster is reached. In the search phase, this approach can reach a linear computational complexity against an exponential size increase of document collection. In order to verify the authenticity of search results, a structure called minimum hash sub-tree is designed in this paper. Experiments have been conducted using the collection set built from the IEEE Xplore. The results show that with a sharp increase of documents in the dataset the search time of the proposed method increases linearly whereas the search time of the traditional method increases exponentially. Furthermore, the proposed method has an advantage over the traditional method in the rank privacy and relevance of retrieved documents.
关键词： security,multi-keyword search,Cloud computing,ranked search,hierarchical clustering,ciphertext search
更新于2025-09-23 15:19:57
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[IEEE 2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL) - Sozopol, Bulgaria (2019.9.6-2019.9.8)] 2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL) - Quest Method for Organizing Cloud Processing of Airborne Laser Scanning Data
摘要： Nowadays, the processing of data obtained as a result of airborne laser scanning by a group of unmanned aerial vehicles includes up to eight different stages. From the point of view of organizing such processing, it is reasonable to use modern cloud technologies. The paper proposes a new method for processing this type of data based on the social model of completing game quests. Portions of data arrive at a computing system consisting of several clouds where, in turn, multifunctional SaaS nodes operate. Each of the nodes can process one data portion once, which allows to exclude the principle of exclusive use of one node for all stages of processing a data portion. The paper proposes an original algorithm for determining the optimal node for the next stage of processing, which takes into account: the time of data portions movement between SaaS nodes, in fact, processing and waiting in the node queue. Due to carried out experiments, it was found that the implementation of the developed quest method allows to reduce the workload of SaaS nodes by the uniform distribution of processing between all nodes, which was to an average of 30%. Additionally, in the case when the number of processing nodes is less than three, the efficiency of the method decreases to zero. This paper suggests that the ques method can also be used on board of the nodes of a flying sensor network during airborne laser scanning of the area in rapid-response systems.
关键词： routing,distributed processing,cloud computing,mobile ad hoc networks,laser radar
更新于2025-09-23 15:19:57
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Document Verification: A Cloud-Based Computing Pattern Recognition Approach to Chipless RFID
摘要： In this paper, we propose a novel means of verifying document originality using chipless RFID systems. The document sender prints a chipless RFID tag into the paper and does a frequency scanning in the 57–64 GHz spectrum of the document. The results of scattering parameters in individual step frequencies are stored in a cloud database, denoised and passed to pattern classi?ers, such as support vector machines or ensemble networks. These supervised learners train themselves based on these data on the remote/cloud computer. The document receiver veri?es this frequency ?ngerprint by using the same scanning method, sending the scattering parameters to the cloud server and getting the decoded data. Paper originality is veri?ed if the decoded data are as expected. The advantages of our cloud chipless RFID processing deployments are cost reduction and increased security and scalability.
关键词： chipless tag,classi?cation algorithms,Radio frequency identi?cation,support vector machines,pattern recognition,cloud computing,ensemble networks
更新于2025-09-19 17:15:36
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[IEEE 2019 Compound Semiconductor Week (CSW) - Nara, Japan (2019.5.19-2019.5.23)] 2019 Compound Semiconductor Week (CSW) - High detectivity AlInSb mid-infrared photodiode sensors with dislocation filter layers for gas sensing application
摘要： An Enhanced-Internet that provides ultra-low-latency guaranteed-rate communications for Cloud Services is proposed. The network supports two traffic classes, the Smooth and Best-Effort classes. Smooth traffic flows receive low-jitter GR service over virtual-circuit-switched (VCS) connections with negligible buffering and queueing delays, up to 100% link utilizations, deterministic end-to-end quality-of-service (QoS) guarantees, and improved energy efficiency. End-to-end delays are effectively reduced to the fiber “time of flight.” A new router scheduling problem called the Bounded Normalized-Jitter integer-programming problem is formulated. A fast polynomial-time approximate solution is presented, allowing TDM-based router schedules to be computed in microseconds. We establish that all admissible traffic demands in any packet-switched network can be simultaneously satisfied with GR-VCS connections, with minimal buffering. Each router can use two periodic TDM-based schedules to support GR-VCS connections, which are updated automatically when the router's traffic rate matrix changes. The design of a Silicon-Photonics all-optical packet switch with minimal buffering is presented. The Enhanced-Internet can: 1) reduce router buffer requirements by factors of ; 2) increase the Internet's aggregate capacity; 3) lower the Internet's capital and operating costs; and 4) lower greenhouse gas emissions through improved energy efficiency.
关键词： energy efficiency,DiffServ,cloud,low latency,Buffer sizes,routing,data centers,Future Internet,cloud computing,quality of service (QoS),scheduling
更新于2025-09-19 17:13:59
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[IEEE 2019 Workshop on Recent Advances in Photonics (WRAP) - Guwahati, India (2019.12.13-2019.12.14)] 2019 Workshop on Recent Advances in Photonics (WRAP) - Spectrum Analysis of Ytterbium-Doped Hybrid Mode-Locked Fiber Laser
摘要： Cloud computing enables customers with limited computational resources to outsource their huge computation workloads to the cloud with massive computational power. However, in order to utilize this computing paradigm, it presents various challenges that need to be addressed, especially security. As eigen-decomposition (ED) and singular value decomposition (SVD) of a matrix are widely applied in engineering tasks, we are motivated to design secure, correct, and efficient protocols for outsourcing the ED and SVD of a matrix to a malicious cloud in this paper. In order to achieve security, we employ efficient privacy-preserving transformations to protect both the input and output privacy. In order to check the correctness of the result returned from the cloud, an efficient verification algorithm is employed. A computational complexity analysis shows that our protocols are highly efficient. We also introduce an outsourcing principle component analysis as an application of our two proposed protocols.
关键词： eigen-decomposition,principle component analysis,singular value decomposition,Cloud computing,secure outsourcing
更新于2025-09-19 17:13:59
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[IEEE 2019 16th International Conference on the European Energy Market (EEM) - Ljubljana, Slovenia (2019.9.18-2019.9.20)] 2019 16th International Conference on the European Energy Market (EEM) - A first analysis of the photovoltaic auction program in Germany
摘要： Cloud computing provides service for resource-constrained customers to perform large-scale scientific computation. However, it also brings some new challenges, which have to be considered in designing outsourcing protocols. In recent years, a few outsourcing protocols have been proposed for different kinds of problems. Quadratic programming (QP) is a class of mathematical optimization problem, and solving a large-scale QP problem requires a large amount of computation. Thus, there is a great need for customer to outsource large-scale QP problem to cloud. In this paper, we design a secure, verifiable, and efficient outsourcing protocol for QP problem. For security consideration, we encrypt the matrices and vectors contained in the QP problem in an efficient way. After cloud computing, we decrypt the result to get the ultimate solution. To ensure correctness, we verify the result returned by the cloud through Karush–Kuhn–Tucker conditions that are the necessary and sufficient conditions for the optimal solution. We also present complexity analysis and numerical simulations to illustrate the efficiency of our outsourcing protocol.
关键词： KKT condition,secure outsourcing,Cloud computing,quadratic programming
更新于2025-09-19 17:13:59
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[IEEE 2019 22nd International Conference on Computer and Information Technology (ICCIT) - Dhaka, Bangladesh (2019.12.18-2019.12.20)] 2019 22nd International Conference on Computer and Information Technology (ICCIT) - Investigating the Performance of Nanocrystalline Silicon HIT Solar Cell by Silvaco ATLAS
摘要： The effective use of data within intensive care units (ICUs) has great potential to create new cloud-based health analytics solutions for disease prevention or earlier condition onset detection. The Artemis project aims to achieve the above goals in the area of neonatal ICUs (NICU). In this paper, we proposed an analytical model for the Artemis cloud project which will be deployed at McMaster Children’s Hospital in Hamilton. We collect not only physiological data but also the infusion pumps data that are attached to NICU beds. Using the proposed analytical model, we predict the amount of storage, memory, and computation power required for the system. Capacity planning and tradeoff analysis would be more accurate and systematic by applying the proposed analytical model in this paper. Numerical results are obtained using real inputs acquired from McMaster Children’s Hospital and a pilot deployment of the system at The Hospital for Sick Children (SickKids) in Toronto.
关键词： Health informatics,analytical modeling,real-time analytics,cloud computing,data management,capacity planning
更新于2025-09-19 17:13:59
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[IEEE 2019 International Topical Meeting on Microwave Photonics (MWP) - Ottawa, ON, Canada (2019.10.7-2019.10.10)] 2019 International Topical Meeting on Microwave Photonics (MWP) - Brillouin-Based Signal Processing in Silicon Photonics : (Invited paper)
摘要： We present in this work a first performance assessment of the Parallel Small BAseline Subset (P-SBAS) algorithm, for the generation of Differential Synthetic Aperture Radar (SAR) Interferometry (DInSAR) deformation maps and time series, which has been migrated to a Cloud Computing (CC) environment. In particular, we investigate the scalable performances of the P-SBAS algorithm by processing a selected ENVISAT ASAR image time series, which we use as a benchmark, and by exploiting the Amazon Web Services (AWS) CC platform. The presented analysis shows a very good match between the theoretical and experimental P-SBAS performances achieved within the CC environment. Moreover, the obtained results demonstrate that the implemented P-SBAS Cloud migration is able to process ENVISAT SAR image time series in short times (less than 7 h) and at low costs (about USD 200). The P-SBAS Cloud scalable performances are also compared to those achieved by exploiting an in-house High Performance Computing (HPC) cluster, showing that nearly no overhead is introduced by the presented Cloud solution. As a further outcome, the performed analysis allows us to identify the major bottlenecks that can hamper the P-SBAS performances within a CC environment, in the perspective of processing very huge SAR data flows such as those coming from the existing COSMO-SkyMed or the upcoming SENTINEL-1 constellation. This work represents a relevant step toward the challenging Earth Observation scenario focused on the joint exploitation of advanced DInSAR techniques and CC environments for the massive processing of Big SAR Data.
关键词： Big data,Differential Synthetic Aperture Radar (SAR) Interferometry (DInSAR),Cloud Computing (CC),Parallel Small BAseline Subset (P-SBAS),Earth surface deformation
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - An Update on Solar Energy and Sun Tracker Technology with a Dual Axis Sun Tracker Application
摘要： Cloud computing technology has become an integral trend in the market of information technology. Cloud computing virtualization and its Internet-based lead to various types of failures to occur and thus the need for reliability and availability has become a crucial issue. To ensure cloud reliability and availability, a fault tolerance strategy should be developed and implemented. Most of the early fault tolerant strategies focused on using only one method to tolerate faults. This paper presents an adaptive framework to cope with the problem of fault tolerance in cloud computing environments. The framework employs both replication and checkpointing methods in order to obtain a reliable platform for carrying out customer requests. Also, the algorithm determines the most appropriate fault tolerance method for each selected virtual machine. Simulation experiments are carried out to evaluate the framework’s performance. The results of the experiments show that the proposed framework improves the performance of the cloud in terms of throughput, overheads, monetary cost, and availability.
关键词： replication,checkpointing,virtual machines,Fault tolerance,cloud computing
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Analysis of Surface Passivation and Laser Firing via Light-Beam Induced Current Measurements
摘要： Cloud computing is becoming an increasingly admired paradigm that delivers high-performance computing resources over the Internet to solve the large-scale scientific problems, but still it has various challenges that need to be addressed to execute scientific workflows. The existing research mainly focused on minimizing finishing time (makespan) or minimization of cost while meeting the quality of service requirements. However, most of them do not consider essential characteristic of cloud and major issues, such as virtual machines (VMs) performance variation and acquisition delay. In this paper, we propose a meta-heuristic cost effective genetic algorithm that minimizes the execution cost of the workflow while meeting the deadline in cloud computing environment. We develop novel schemes for encoding, population initialization, crossover, and mutations operators of genetic algorithm. Our proposal considers all the essential characteristics of the cloud as well as VM performance variation and acquisition delay. Performance evaluation on some well-known scientific workflows, such as Montage, LIGO, CyberShake, and Epigenomics of different size exhibits that our proposed algorithm performs better than the current state-of-the-art algorithms.
关键词： scientific workflows,Cloud computing,resource provisioning,quality of service (QoS),scheduling
更新于2025-09-19 17:13:59