The limited sweep improvement in fractured reservoirs has always been the key factor restricting enhancement of their recovery factor. Particle plugging agents have attracted widespread attention due to excellent performance strongly fractures. Among them, branched preformed particle gels (B-PPG) widely applied conformance treatment recent years because elasticity and deformability. Nevertheless, precise microscopic mechanism behind ability enhance oil improve conformational effect within...

Lithologic reservoirs, such as conglomerate exhibit stronger heterogeneity compared with conventional sandstone reservoirs. Their early stage development usually requires hydraulic fracturing to increase the stimulated reservoir volume (SRV). As a result, high-conductivity channels are generated during waterflooding, which further limit sweep and oil recovery. Traditional particle gels in situ cross-linked polymer limited field application due their low plugging strength. In this paper,...

Rigid registration of 3D point clouds is the key technology in robotics and computer vision. Most commonly, iterative closest (ICP) its variants are employed for this task. These methods assume that corresponding lead to sensitivity outlier initial pose, while they have poor computational efficiency due computation. implementations ICP algorithm attempt deal with issue by modifying correspondence or adding coarse registration. However, leads sacrificing accuracy rate complexity. This paper...

A key research area in autonomous driving is how to model the driver’s decision-making behavior, due fact it significant for a self-driving vehicles considering their traffic safety and efficiency. However, uncertain characteristics of vehicle pedestrian trajectories affect urban roads, which poses severe challenges cognitive understanding systems terms accuracy robustness. To overcome abovementioned problems, this paper proposes Bayesian driver agent (BDA) vision-based system with learning...

The rapid development of machine vision has prompted the continuous emergence new detection systems and algorithms in surface defect detection. However, most existing methods establish their with few comparisons verifications, described still have various problems. Thus, an original method: Segmented Embedded Rapid Defect Detection Method for Surface Defects (SERDD) is proposed this paper. This method realizes two-way fusion image processing detection, which can efficiently accurately detect...

An algorithm based on eigenanalysis technique and Walsh-Hadamard transform (WHT) is proposed. The contains two steps. Firstly, the received sequence divided into temporal windows, a covariance matrix computed. linear feedback shift register (LFSR) reconstructed from first eigenvector of this matrix. Secondly, equations according to recovered LFSR are constructed, Walsh spectrum corresponding polynomial estimated spectrum. validity verified by simulation result. Finally, case studies...

The signal decomposition techniques are an important tool for analyzing nonstationary signals. time-frequency resolution of the basis functionals is essential to a variety processing applications. recently introduced wavelet transform very promising analysis, but little attention has been paid property wavelets. This paper describes procedure design wavelets with better resolution. Some examples and comparisons traditional also presented.

Egocentric activity recognition in first-person video (FPV) requires fine-grained matching of the camera wearer’s action and objects being operated. The traditional method used for third-person does not suffice because (1) background ego-noise introduced by unstructured movement wearable devices caused body movement; (2) small-sized with single scale FPV. Size compensation is performed to augment data. It generates a multi-scale set regions, including multi-size objects, leading superior...

Signal decomposition techniques are an important tool for analyzing nonstationary signals. The proper selection of time-frequency basis functions the is essential to a variety signal processing applications. discrete wavelet transform (DWT) increasingly being used analysis, but not until recently has attention been paid resolution property wavelets. This paper describes additional results on our procedure design wavelets with better resolution. In particular, optimal duration-bandwidth...

In order to adapt the characteristic that intercepted code sequence is not complete, polynomial model in [6] has been amended. Based on model, a scheme proposed improve capability of classical Euclidean algorithm, and new method for blind identification rate 1/2 convolutional proposed. The validity algorithm verified by simulation results, it less computational load compared references.

Walsh-Hadamard transform (WHT) can solve linear error equations on Field F2, and the method be used to recover parameters of convolutional code. However, solving with many unknowns needs enormous computer memory which limits application WHT. In order this problem, a based segmented WHT is proposed in paper. The coefficient vector high dimension reshaped two vectors lower are obtained. Then operated requirement for much reduced. code rate constraint length detected from Walsh spectrum. And...

Under the too short arc scenario, evolutionary-based algorithm has more potential than traditional methods in initial orbit determination. However, underlying multimodal phenomenon determination is ignored by current works. In this paper, we propose a new enhanced differential evolution (DE) with property to study angle-only IOD problem. Specifically, coarse-to-fine convergence detector implemented, based on Boltzmann Entropy, determine evolutionary phase of population, which lays basis...

Rising concern for thermal stress and tight energy constraints have forced designers to consider power as a design criterion from early phase. Despite many advances in high-level estimation techniques, there is lack of generic capabilities prominent flows. In this paper we propose modeling techniques during Architecture Description Language (ADL)-based embedded processor design. The first technique based on accurate switching activity extraction cycle-accurate instruction-set simulation....

The Walsh-Hadamard transform can be used to solve binary domain error-containing equations, and the method for blind identification of convolutional codes. However, when number system unknowns is large, requirement computer memory makes it difficult apply this practice. Therefore, a code recognition based on partitioned proposed. By segmenting high-dimensional coefficient vectors equations into two low-dimensional vectors, problem solving by transformation decomposed proved that combination...

The airborne hyperspectral remote sensing systems (AHRSSs) acquire images with high spectral resolution, spatial and temporal dimension. While the AHRSS captures more detailed information from terrain objects, computational complexity of data processing is greatly increased. As an important application technology in domain, anomaly detection (AD) must be real-time high-precision many cases, such as post-disaster rescue, military battlefield search, natural disaster detection. In this paper,...

Reliability has emerged as an important design criterion due to shrinking device dimensions. To address this challenge, researchers have proposed techniques compromising the Quality-of-Service across all abstractions. Performing cross-layer reliability-QoS trade-off is a major which requires strong understanding of fault propagation through different In paper, we propose analytical error prediction framework, based on probabilistic masking matrices. The performed by propagating erroneous...

We focus on the recognition of RS code in a reverse-engineering communication system, and an algorithm based spectral statistic is proposed, which makes use characteristics code. When there are some codes with errors observations, histogram computed, can improve probability detection noisy environment. Experimental results given to illustrate performances method get 90% (255, 223) presence 0.5% error rate.

The objective of this document is to present the structural analysis ITER Cryostat. A short description Cryostat design and main loads provided. presented focusing on strategy global local assessments.

The number of resident space objects (RSOs) has been steadily increasing over time, posing significant risks to the safe operation on-orbit assets. accurate prediction potential collision events and implementation effective nonredundant avoidance maneuvers require precise estimation orbit positions interest propagation their associated uncertainties. Previous research mainly focuses on striking a balance between efficient computation. A recently proposed approach that integrates uncertainty...

A significant challenge in methods for anomaly detection (AD) hyperspectral images (HSIs) is determining how to construct an efficient representation anomalies and background information. Considering the high-order structures of HSIs estimation information AD, this article proposes a kernel minimum noise fraction transformation-based separation model (KMNF-BSM) separate First, spectral-domain KMNF transformation performed on original data fully mine correlation between spectral bands. Then,...