Although the majority of existing robust adaptive beamformers focus on how to choose an identical loading factor for all eigenvalues, relatively few investigations variable (VL) have been conducted. A low-complexity VL beamformer is proposed in which weight vector deliberately prevented from converging noise components. Then inspired by traditional method, can be set ad hoc manner. Numerical results demonstrate superior performance relative other approaches such as 'identical diagonal...

Malaria is one of the three most deadly infectious diseases in world and seriously endangers human health life. To reduce public burden this disease, scientists have focused on discovery development effective antimalarial drugs, from quinine chloroquine to antifolates artemisinin its derivatives, which all play a profound role treatment malaria. However, drugresistant strains Plasmodium falciparum emerged due frequent use antimalarials become increasingly resistant existing causing...

With the increasing prevalence of deep foundation pit projects in modern urban construction, deformation control associated support structures is crucial to ensuring construction safety. Despite growing importance this issue, research on excavation soft soil areas near sea limited. This study investigates characteristics and impact a geometrically complex project Taizhou, utilizing both long-term in-situ monitoring numerical simulation. The results indicated that maximum horizontal...

Breast cancer is the most common malignancy in women worldwide, and major challenges its treatment include drug resistance metastasis. Three-dimensional cell culture systems have received widespread attention discovery studies but existing models limitations, that warrant development of a simple repeatable three-dimensional model for high-throughput screening. In this study, we designed simple, reproducible, highly efficient microencapsulated device to co-culture MCF-7 cells HUVECs...

Food safety and foodborne infections diseases have been a leading hotspot in public health, methicillin-resistant Staphylococcus aureus (MRSA) has recently documented to be an important pathogen, addition its recognition clinical pathogen for some decades. Standard identification MRSA commonly performed both settings food routine detection; however, most of such so-called “standards,” “guidelines,” or “gold standards” are incapable detecting viable but non-culturable (VBNC) cells. In this...

In the daily life, people often repeat regular routes in certain periods. Predicting personal future using this information helps to achieve many goals, including improving quality of intelligent transportation systems (ITSs) and location-based services (LBSs) for individuals. paper, a novel system is developed predict based on continuous route patterns extracted advance. The proposed approach predicts person's through use probabilistic tree model built from his / her patterns. are history...

Abstract Since the devices in Internet of Things (IoT) are always interconnected with a stable connection, they prone to attacks. In grey hole attack, malicious node acts as central controller obtain data from all nodes and it drops alters packets per its wish. this way, attack core concept IoT, which enables different communicate each other. To prevent enable efficient communication between IoT devices, fuzzy is introduced article. Previous methods have not proficient spotting uncountable...

Abstract To improve the level classificationaccuracy of method used in lithium-ion battery production lines, sorting suitable for mass lines is studied.Based on developed single-cell detection system, this paper proposed a that combines multi-parameter and fuzzy C-means clustering to realize classification batteries.A cycle life test was designed comparison verification perform random packing, OCV internal resistance combined packing experiments.The experiment results show combining can...

This paper describes our system, which placed third in the Multilingual Track (subtask 11), fourth Code-Mixed 12), and seventh Chinese 9) SemEval 2022 Task 11: MultiCoNER Complex Named Entity Recognition. Our system’s key contributions are as follows: 1) For multilingual NER tasks, we offered a unified framework with one can easily execute single-language or 2) for low-resource mixed-code task, enhanced his her dataset through implementing several simple data augmentation methods 3) proposed...

Focusing on dynamic positioning (DP) systems for ships, which are subject to environmental disturbances and actuator constraints, this paper presents a finite-time controller that uses disturbance observer with the aid of backstepping technique. First, estimate time-varying unknown in finite time, two sliding-mode observers constructed. Specifically, an adaptive (ADO) effectively decreases undesired chattering without need prior information disturbances. Then, handle designed control forces...

In the present work, exact formal solution of Caldeira–Leggett quantum master equation for reduced density matrix an oscillator is obtained by virtue thermo entangled state representation and technique integration within ordered product (IWOP) operators. Also, high temperature approximation derived. When initial a coherent state, it will evolve into displaced-squeezed chaotic (a mixed state) which shows that decoherence involved in due to interactions between system environment.

Abstract This paper is concerned with the problem of robust control for uncertain impulsive systems input constraints. The parametric uncertainties are assumed to be time‐varying and norm‐bounded. constraints under consideration novel reverse polytopic avoiding a set specified values. Via designed state feedback switching law, can satisfied. Moreover, by applying Lyapunov function theory, sufficient conditions stabilization established in terms linear matrix inequalities. A numerical example...

Low-cost autonomous agents including driving vehicles chiefly adopt monocular 3D object detection to perceive surrounding environment. This paper studies intermediate representation methods which generate features for subsequent tasks. For example, the can be taken as input not only detection, but also end-to-end prediction and/or planning that require a bird's-eye-view feature representation. In study, we found in generating previous do maintain consistency between objects' implicit poses...

Reconstructing ghosting-free high dynamic range (HDR) images of scenes from a set multi-exposure is challenging task, especially with large object motion and occlusions, leading to visible artifacts using existing methods. To address this problem, we propose deep network that tries learn multi-scale feature flow guided by the regularized loss. It first extracts features then aligns non-reference images. After alignment, use residual channel attention blocks merge different Extensive...

Open quantum system, namely system-reservoir model, is described by a master equation of density operator. For example, the Caldeira-Leggett eqaution describes dissipative phenomenon solid physics. Although some efforts have been made to derive exact expression this equation, so far as we know, it has not reported in literature. The purpose paper provide new approach solving via explicit integral-form ρ(t) can be obtained. main point convert operator into an state vector, and then project...

Deep learning has made it possible to accurately generate high dynamic range (HDR) images from multiple taken at different exposure settings, largely owing advancements in neural network design. However, generating without artifacts remains difficult, especially scenes with moving objects. In such cases, issues like color distortion, geometric misalignment, or ghosting can appear. Current state-of-the-art designs address this by estimating the optical flow between input align them better....

Recent advances in wireless multimedia sensor networks have led to disjoint multipath routing protocols specifically designed for transmitting large traffic. Towards the coexistence of different kinds traffics, a packet scheduling scheme is proposed based networks. The classifies packets into four classes on their real-time and reliability requirements assigns priorities them. Non-preemptive queuing model with multiple path condition traffic are presented employed algorithm. And this paper...