Aiming to deal with underwater localization for small-size robots in GPS-denied and structured environment, this paper proposed a novel multi-sensor fusion-based self-localization system using low-cost sensors. Based on information fusion, an Extended Kalman Filter (EKF) is utilized synthesize the multi-source from Inertial Measurement Unit (IMU), optical flow, pressure sensor ArUco markers, which enables robot obtain highly precise positioning. This method also can reduce location drift...

Theoretical and computational models such as transfer-appropriate processing (TAP) global matching have emphasized the encoding–retrieval interaction of memory representations in generating false memories, but relevant neural mechanisms are still poorly understood. By manipulating sensory modalities (visual auditory) at different stages (learning test) Deese–Roediger–McDermott task, we found that auditory-learning visual-test (AV) group produced more memories (59%) than other three groups...

This paper presents the detailed modeling and simulation of dynamic coupling between an autonomous underwater vehicle (AUV) a manipulator. The processes are described with incorporation most dominating hydrodynamic effects such as added mass, lift drag forces. coefficients derived using strip theory adjusted according to dynamical similarity. A fuzzy decoupling controller (FDC) is proposed for vehicle-manipulator system (UVMS) which consists two subsystems, uses algorithm (FA) adaptively...

Tilapia parvovirus (TiPV) causes severe mortality rates in cultured tilapia, resulting substantial losses to the fish industry. Droplet digital PCR (ddPCR) is a sensitive, accurate, and absolute quantitation method, plus it does not require standard curve. Herein we report development application of sensitive ddPCR-based method rapidly detect quantify TiPV. Optimal annealing temperature was determined be 59.3°C, optimal primer probe concentrations were 900 nmol/L 250 nmol/L, respectively....

The development of Autonomous Underwater Vehicles (AUVs) has become a priority for numerous countries. Achieving low drag and high efficiency in these vehicles is essential enhancing their endurance. To effectively reduce energy consumption improve navigation durability, parametric Myring shape model was established, the Computational Fluid Dynamics (CFD) method employed to predict flight resistance at cruising speed. accuracy reliability CFD were subsequently verified. A surrogate then...

Travel by the elderly is generally characterized relatively short distances and low frequencies. However, with social development, travel patterns of are lacking in sustainability. In some European countries, increasingly dependent on cars while traveling. addition, influencing factors elderly’s behavior also changing. At present, most foreign domestic studies focus impact individual household socioeconomic attributes, policy frequency, mode choice, demand elderly, but they lack an analysis...

Cost control is becoming increasingly important in hospital management. Hospital operating rooms have high resource consumption because they are a major part of hospital. Thus, the optimal use can lead to savings. However, uncertainty operation procedures, it difficult arrange for advance. In general, durations both surgery and anesthesia emergence determine time requirements rooms, these predict. this study, we used an artificial neural network construct duration-prediction system. We...

In the context of urban agglomeration and rapid development rail transit, planning Beijing-Tianjin-Hebei Region (BTHR) transit 2020 is attracting attention. The BTHR a natural disaster-prone area high-risk for terrorist attacks; robustness critical to sustainable North China. Therefore, it necessary analyze vulnerability regional network. This paper builds model in BTHR. A node recognition measure designed according connectivity reliability nodes. method Monte Carlo simulation applied based...

This paper presents new motion planning and robust coordinated control schemes for trajectory tracking of the underwater vehicle-manipulator system (UVMS) subjected to model uncertainties, time-varying external disturbances, payload sensory noises. A redundancy resolution technique with a secondary task nonlinear function is proposed generate trajectories vehicle manipulator. In this way, attitude manipulator position are aligned in such way that interactive forces reduced. To resist...

Because of the superior feature representation ability deep learning, various Click-Through Rate (CTR) models are deployed in commercial systems by industrial companies. To achieve better performance, it is necessary to train CTR on huge volume training data efficiently, which makes speeding up process an essential problem. Different from with dense data, for usually high-dimensional and sparse. transform sparse input into low-dimensional real-value vectors, almost all adopt embedding layer,...

This paper explores the most urgent task to initialize a virtual network in virtualization environment, which always called embedding. Different previous works take embedding process as two steps: node mapping stage and then edge stage, this contribute solve these processes all one discrete nonlinear combined optimization. Based on modeling (VN) request substrate (SN), proposed mathematical description building relationship between stages. After that, cost is introduced an objective...

The optimum design angle of attack for a large-scale wind turbine blade and the lift coefficient assumes nonlinearities change. For such problem, 1.2 MW blade's profile is designed based on BEM theory through improving Wilson algorithm correcting airfoil from structure processing angle. calculation aerodynamic performance, by relation curve between tip speed radio power coefficient, rationality feasibility designing shape with horizontal axis proved , machinable real-made 3D model blades in...

With many theoretical and technological obstacles in health big data processing, it is hard to transfer into successful valuable applications. Meeting the Challenge of handling healthcare information construction procedure, this paper proposes a referential architecture on platform solution overcome problems tremendous process. Based proposed prototype has been built for analysis. Taking statistical analysis administrator decide supporting service as an example, tests running performance...

To address malicious attacks generated from wireless sensor networks (WSNs), in this paper, we study the difficulty of detecting uncoordinated behavior by using a model that is unreliable and has uncontrollable accuracy, trustless control, an inextensible protocol. A security collaboration involving coupled state vectors associated with topology control time synchronization proposed. The achieve weights controlling number goals. simple calculation values between neighboring nodes serves as...

Internal reliability and external safety of Wireless Sensor Networks (WSN) data transmission have become increasingly outstanding issues with the wide applications WSN. This paper proposes a new method for access control mitigation interfering noise in time synchronization environments. First, formal definition is given regarding impact interference has on clock skew offset each node. The degree node behavior estimated dynamically from perspective time-stamp changes caused by noise....

Cloud computing is a new network application mode. Along with the arrival of era cloud computing, technology are also used in field education. This article first expounds concept and characteristics analyzes existing problems teaching resources platform, probes into coordination sharing mode based on promoting centralized management equilibrium distribution resources, realized "build", "sharing" digital so as to improve quality.