To discover the condition of roads, a large number detection algorithms have been proposed, most which apply machine learning methods by time and frequency processing in acceleration velocity data. However, few them pay attention to similarity data itself when vehicle passes over road anomalies. In this article, we propose method detect anomalies comparing windows with various length using Dynamic Time Warping(DTW) method. We model prove that maximum passing through anomaly is linear height...

Accurately predicting renewable energy output is crucial for the efficient integration of solar and wind power into modern systems. This study develops evaluates an advanced deep learning model, Channel-Time Patch Time-Series Transformer (CT-PatchTST), to forecast photovoltaic systems using annual offshore power, onshore generation data from Denmark. While original Transformer(PatchTST) model employs a channel-independent (CI) approach, it tends overlook inter-channel relationships during...

The energy management information system has became a research hotspot with the rapid development of smart grid, which using for integration micro-grid and traditional electric power grid. However, renewable sources (such as wind energy, tidal etc.) unstable, intermittent controllability characteristics bring number challenges to Solving these problems depend on accurately forecast generation output in certain time. This article outlines tracks main prediction technologies photovoltaic over...

This paper describes a biventricular model, which couples the electrical and mechanical properties of heart, computer simulations ventricular wall motion deformation by means model. In constructed electromechanical analysis was based on composite material theory finite-element method; propagation excitation simulated using an heart resulting active forces were used to calculate motion. Regional Lagrangian strain tensors calculated during systole phase. Displacements, minimum principal...

Road anomaly detection with crowdsourced sensor data has become an increasingly important field of research over the last few years. Traditional ways for road are either threshold-based techniques or feature-based techniques. However, patterns from crowdsourcing often shifted in time and exhibit local distortions/noise, thus existing methods rely on original greatly limit accuracy detection. In this paper, we present a model by learning scale-invariant features differences between small...

Because of its simple structure and snapback characteristics, the grounded-gate NMOS (GGNMOS) has been widely used as an electrostatic discharge (ESD) protection device. ESD performance GGNMOS fabricated in 65 nm CMOS process is investigated, measurement results for behaviour, failure current It2, holding voltage, trigger voltage such advanced MOS devices are illustrated. The effects four key parameters, channel length, finger number, drain-to-gate spacing source-to-gate on performance,...

To discover road anomalies, a large number of detection methods have been proposed. Most them apply classification techniques by extracting time and frequency features from the acceleration data. Existing are time-consuming since these perform on whole datasets. In addition, few pay attention to similarity data itself when vehicle passes over anomalies. this article, we propose QF-COTE, real-time anomaly system via mobile edge computing. Specifically, QF-COTE consists two phases: (1) Quick...

This paper proposes a maze exploring algorithm named "Partition-central Algorithm", which is used to find the shortest path in micromouse competition maze. A standard 16*16 units divided into 12 partitions this algorithm. Depending on absolute direction of and locations each partition, rules alter when walks optimize process. simulation program developed verify The test result shows that Partition-central has higher average efficiency compared with other algorithms.

Road anomaly detection has attracting increasing attention in recent years due to its significant role the public transportation of modern cities. A few methods been proposed detect road with inertial sensors (e.g., accelerometer and gyroscope), which usually utilize classification techniques by extracting time frequency domain features from sensor data. However, existing are consuming since these perform on whole datasets. In addition, them pay self-similarity data when vehicle passes over...

In this paper, we present a unified electrodynamic heart model that permits simulations of the body surface potentials generated by in motion. The inclusion motion significantly improves accuracy simulated and therefore also 12-lead ECG.The key step is to construct an electromechanical model. cardiac excitation propagation electrical model, resulting active forces are used calculate ventricular wall based on mechanical source-field point relative position changes during systole diastole....

In order to realize two-way communication flow between consumers, suppliers and grid devices, Smart Grid must deploy an electricity distribution network which is called the Advanced Metering Infrastructure (AMI). To solve problems of Grid, such as unbalanced energy consumption, short lifetime, bad data reliability in AMI network, ETEN-RPL routing algorithm based on a composite metric combined expected transmission count (ETX) remaining metrics according certain weights was naturally proposed...

Human activity recognition (HAR) systems are widely used in our lives, such as healthcare, security, and entertainment. Most of the models tested personal mode, performance is quite good. However, HAR impersonal mode still a great challenge. In this paper, we propose two-layer sparse grouping (TASG) model, which first layer clusters activities into 2–4 groups roughly second identifies specific type activities. A new feature selection metric inspired by Fisher criterion designed to measure...

A remote toy car controlled by an android mobile platform with Bluetooth technology is presented in this paper. The system combined and a 2-wheel small which under control. requests to connect the then sends instructions control it calling API. composed 2 step motors their drivers main MCU chip, connects accepts from Android through BT module, meanwhile, status information sent application software. paper presents realization test examination also described detail.

A 2D micromouse solving maze simulator is designed to simulate and examine algorithms for IEEE competition preparation purpose. 6 types of are included currently choosing solve a record the track. Contour map cells calculated as finding path end point. The running process with steps counts displayed at real time animatedly. partition-center algorithm introduced verified simulator.

Abstract The rapid aging of the world’s population, along with an increase in prevalence chronic illnesses, requires adaption and modification current healthcare models. New trends on technologies fall into use autonomous systems that allows capturing monitoring physiological parameters anytime anywhere. One approach involves tele-health applications, many which are based sensor for unobtrusive monitoring. Recent technological advances, particular, involving micro-electromechanical systems,...

Satellite network is an important part in the future communication system and routing design always bottleneck. Since satellite technology constantly develops requirement of ground terminal grows, networks renovating all time. In this paper various algorithm are analyzed. The problems concerning dynamic topology networks, integration with segment, QoS guarantee, multicast, multi-layer management etc. detailed summarized. Considering development direction more attention will be paid on...

Neighborhood Area Networks (NANs) are an important part of the smart grid, which is last one mile communication in a Smart Grid Communication Network (SGCN), and routing algorithm key technologies to improve performance NANs. Designing metrics critical for The goal metric choose high-throughput path between source destination. In this paper, we focus on addressing question. A new called Hybrid Metric (HM) proposed provide more reliable Considering resources consumed by packet link,...

This article describes the basic structure of Android and mobile devices on application environment. A preliminary analysis security control sandbox model are presented. We describe features Java model. Mobile code enhancements in also discussed briefly. The policy-based access is designed to apply special policy individually runtime.

A biventricular model, which coupled the electrical property and mechanical of heart, was constructed ventricular wall motion deformation have been simulated based on this model. The model composite material theory finite element method. excitation propagation by heart resulted active forces were used to calculate motion. Regional Lagrangian strain tensors calculated during systole phase. Displacements, minimum principal strains torsion angle describe two ventricles. results are in good...