As the Internet-of-Things (IoT) and edge computing have been major paradigms for distributed data collection, communication, processing, smart city applications in real world tend to adopt IoT broadly. Today, more machine learning algorithms would be deployed into front-end sensors, devices, centres rather than centralised cloud centres. However, sensors devices are usually not so capable as those units huge centres, this sake, practice, engineers choose compromise limited capacity of...

Different from the dominant view of treating fuzzy reasoning as generalization classical logical inference, in this paper is treated a control problem. A new method proposed that employs an explicit feedback mechanism to improve robustness reasoning. The rule base given priori serves controlled object, and corresponding controller. constitute system may be open loop or closed loop, depending on underlying goals/constraints. base, method, goals/constraints define three distinct ingredients...

Fuzzy reasoning methods are extensively used in intelligent systems and fuzzy control. Most existing follow rules of logical inference. In this article, is treated as an optimization problem. The idea optimal reviewed three new given by using objective functions. robustness reasoning, that is, how errors premises affect conclusions evaluated a probabilistic or statistical context the Monte Carlo simulation method. Six comparison with CRI method terms robustness. © 2004 Wiley Periodicals,...

To prepare a stable complex of doxycycline (Doxy) and hydroxypropy-β-cyclodextrin (HP-β-CD) for ophthalmic delivery, the optimum formulation preparation conditions were investigated using response surface methodology (RSM), artificial neural network (ANN) support vector machine (SVM) modeling. The molar ratios HP-β-CD/Doxy Mg2+/Doxy, inclusion time temperature selected as independent variables (X1–X4) efficiency stability Doxy-HP-β-CD dependent (response) (Y1 Y2). optimal predicted by...

Vehicle re-identification (re-id) plays an important role in intelligent surveillance. Since difference vehicle models may have similar appearances, together with the problem of image scale variations, re-id remains long-term challenging. We present a novel multi-scale framework using self-adapting label smoothing regularization (SLSR). It integrates appearance information from images to alleviate influence changes caused by perspectives. To enhance generalization ability feature...

Support Vector Machine (SVM) and information fusion technology based on D-S evidence theory are used to diagnose wear fault of AC engines. Firstly, a number frequently oil sample analysis methods for detecting engine fault, establish corresponding sub SVM classifier. The classifier can reflect the mapping relation between symptoms types achieve result single diagnosis item. And then, use make over item so as diagnosis. With serving example, example testing is performed. shows that in...

Terrain rendering is an important issue in Geographic Information Systems and other fields. During large-scale, real-time terrain rendering, complex structure increasing amount of data decrease the smoothness rendering. Existing methods rarely use features to optimize This paper presents a method increase performance through precomputing roughness self-occlusion information making GIS-based Digital Analysis. Our based on GPU tessellation. We quadtrees manage patches take surface Analysis as...

In this paper, a simplified constellation architecture consisting of only two navigation satellites located around the Earth-Moon L 1,2 libration points is obtained for Universe Lighthouse. order to determine feasible constellations that can achieve continuous global coverage lunar orbits, an exhaustive search over all possible combinations point orbits performed first. With use fitting procedure, amplitude relations between 1 and 2 are derived by polynomial interpolation. After that,...

This paper describes an auto-parking system, which is based on the binocular theory and bidirectional path-planning method. At first, according to theory, two CCD cameras are used get image information of their surroundings then constraint extracted via three-dimensional reconstruction techniques. Second, a method applied design optimal path. last, simulation OpenCV platform carried out result relatively good.

Deformable registration plays a fundamental and crucial role in scenarios such as surgical navigation image-assisted analysis. While deformable methods based on unsupervised learning have shown remarkable success predicting displacement fields with high accuracy, many existing networks are limited by the lack of multi-scale analysis, restricting comprehensive utilization global local features images. To address this limitation, we propose novel network called feature extraction-integration...

Although many ground motion prediction equations have been proposed for both the horizontal and vertical spectral accelerations of shallow crustal earthquakes in Western China, few established vertical-to-horizontal acceleration (V/H) ratios this region. Therefore, study derived a new model V/H China. First, predictive accuracies overseas ratio models were evaluated using earthquake records from China; results confirmed that obtained predictions significantly differed records. Next, effects...

The human population is growing at an extremely rapid rate, the demand of food supplies for survival and sustainability life a gleaming challenge.Each living being in planet gets bestowed with healthy to remain active healthy.Agriculture domain which important as it provides fundamental resources terms supplying thus economy entire world highly dependent on agricultural production.The production often affected by various environmental geographical factors are difficult avoid part...

Hyperspectral imaging can capture detailed spectra of materials, but due to conditions and equipment limitations, the cost hyperspectral data collection is extremely high. Leveraging low-priced easy-obtainable RGB images generate (HSIs) has gradually become a trend. Benefiting from advantages denoising diffusion probability model (DDPM) in natural image super-resolution tasks, we consider structural characteristics HSI design novel spectral algorithm, named R2H-CCD, which imagery generation...

Person re-identification (reid) aims at matching pedestrians observed from non-overlapping camera views. It has important applications in surveillance video analysis such as human retrieval, tracking and activity analysis. Although a large number of effective feature learning distance metric optimizing approaches have been proposed, it still suffers pedestrian appearance variations caused by pose changing. Most the previous methods address this problem pose-invariant descriptor subspace. In...