Integrated Computing System Research Articles

Ecic: Design and Analysis of an Edge Cloud Integrated Computing System for Industrial Iot

Ecic: Design and Analysis of an Edge Cloud Integrated Computing System for Industrial Iot

Plasmonic MIM and MSM Waveguide Couplers for Plasmonic Integrated Computing System

Plasmonic metal-insulator-metal waveguide (MIM WG) is a promising building block of devices of a plasmonic computing system, and metal-semiconductor-metal (MSM) WG offers high-speed detection of plasmon signals. MIM and MSM WG couplers are an essential component of any integrated computing system that requires an interface between the plasmonic devices and the electronic circuits. However, the MIM and MSM WG couplers have not yet been explored and systematically studied. This work analyzes and benchmarks various coupling schemes of the plasmonic MIM and MSM WGs to single out the best coupling approach. From the detailed numerical analysis and considering the trade-offs among coupling loss, total capacitance, system noise, and bandwidth, a holistic metric is introduced to quantify and compare the system-level performance of the couplers, and a novel coupling scheme is identified as the most attractive choice for coupling the two WGs.

Improved Image Quality for Static BLADE Magnetic Resonance Imaging Using the Total-Variation Regularized Least Absolute Deviation Solver.

In order to improve the image quality of BLADE magnetic resonance imaging (MRI) using the index tensor solvers and to evaluate MRI image quality in a clinical setting, we implemented BLADE MRI reconstructions using two tensor solvers (the least-squares solver and the L1 total-variation regularized least absolute deviation (L1TV-LAD) solver) on a graphics processing unit (GPU). The BLADE raw data were prospectively acquired and presented in random order before being assessed by two independent radiologists. Evaluation scores were examined for consistency and then by repeated measures analysis of variance (ANOVA) to identify the superior algorithm. The simulation showed the structural similarity index (SSIM) of various tensor solvers ranged between 0.995 and 0.999. Inter-reader reliability was high (Intraclass correlation coefficient (ICC) = 0.845, 95% confidence interval: 0.817, 0.87). The image score of L1TV-LAD was significantly higher than that of vendor-provided image and the least-squares method. The image score of the least-squares method was significantly lower than that of the vendor-provided image. No significance was identified in L1TV-LAD with a regularization strength of 0.4–1.0. The L1TV-LAD with a regularization strength of 0.4–0.7 was found consistently better than least-squares and vendor-provided reconstruction in BLADE MRI with a SENSitivity Encoding (SENSE) factor of 2. This warrants further development of the integrated computing system with the scanner.

Integrated multi-operand electro-optic logic gates for optical computing

Integrated optical computing has the potential to enhance the computation abilities in terms of computing speed and power consumption during the post-Moore's law era. As one of the widely investigated approaches, electro-optic logic uses electro-optic switches as the building blocks to achieve complex functions. In this paper, we propose and experimentally demonstrate a multioperand electro-optic logic gate that contains multiple active regions in a single gate to further increase the versatility of gates. Thus, one gate can be controlled by several electrical inputs simultaneously. The ability of multioperand logic gates is thoroughly explored. The detailed comparison shows that the proposed gate can largely improve the circuit performance in terms of the area, latency, power, and insertion loss. We believe the multioperand logic gate has the potential to contribute to a more compact and power-efficient integrated optical computing system.

A matching game for tasks offloading in integrated edge‐fog computing systems

AbstractEdge and fog computing paradigms have recently emerged as promising approaches to overcome latency and network congestion drawbacks of the cloud network architecture alternative. In this direction, the paper deals with an integrated edge‐fog computing system to provide computational offloading capabilities to end‐devices by assuming that each task can be alternatively run locally at the end‐device site, offloaded to a nearby device through a direct communication link (ie, device‐to‐device) or to a more far and computational powerful node, ie, a fog node. In particular, the goal of this paper is to identify a suitable tasks allocation strategy in order to minimize both the system energy consumption and the worst overall task completion time. The related optimization problem is formulated here as a matching game with externalities with incomplete preferences lists between tasks and computation sites due to the fact that each end‐device can reach only a subset of the fog nodes of the integrated computing system. Furthermore, this paper pursuits the stability analysis of the outcome matching, and provides a post matching procedure to reach a stable final matching configuration. Finally, the good behavior of the proposed approach is validated by providing performance comparisons with different alternatives, namely a typical cloud approach architecture, potential game and other matching theory based approaches recently proposed in literature.

Intern Workload and Discontinuity of Care on 30-Day Readmission

Intern Workload and Discontinuity of Care on 30-Day Readmission

Integrated Computing System of Laboratory Experiment for a Automation of Research Modeling and Design of Chemical Engineering Processes

Abstract The paper concerns integrated computing system with distributed data bases of laboratory experiment for automation of research, modeling and optimal design of chemical engineering processes. The computation methods of kinetic experiment for establishing the probable mechanism and composing kinetic models of complex reaction has been discussed The selection of accurate, single-valued and complete kinetic models allows to find theoretically optimum temperature distribution for substantiation of reactor type. Identification procedures of the mathematical models in static and dynamics of catalytic reactors have been suggested and the calculations of concentration and temperature fields were made on these bases stability conditions of stationary slates and transient processes have been determined.The packages of programmed modules permitting the realization of algorithms modeling and optimum calculation of catalytic processes in the framework of CAD in terms data base have been developed. The results that obtained from the mathematical models and optimum parameters and control design of new oxidation-dchydrogenation processes using this systems will be presented in the conclusion.