At present, Unmanned Aerial Vehicles (UAVs) combined with deep learning have become an important means of transmission line inspection; however, the current approach has problems high demand for manual operation, low inspection efficiency, results that do not reflect distribution defects on towers, and need a large number manually annotated captured images. In order to achieve UAV understanding structure towers identifying in parts three-granularity pose estimation framework multi-type...

Smart Grids are constructed using control, networking, and advanced computing technologies. Malicious attacks still a possibility for the grid, although there now insufficiently fast accurate detection methods. Cybercrimes affecting security of smart grid include compromise vital client data by attackers, spread viruses, cybersecurity mistakes, vulnerabilities in distributed systems. In order to provide context, SMART (Smart Attack detectoR Technique) framework is developed this paper. The...

BodyAvatar is a Kinect-based interactive system that allows users without professional skills to create freeform 3D avatars using body gestures. Unlike existing gesture-based modeling tools, centers around first-person "you're the avatar" metaphor, where user treats their own as physical proxy of virtual avatar. Based on an intuitive body-centric mapping, performs gestures if wanting modify it, which in turn results corresponding modifications provides intuitive, immersive, and playful...

Trackside acoustic fault diagnosis is widely used for early detection in train bearings. However, signal distortion due to the Doppler Effect poses a challenge effective diagnosis. Currently, correction, mainstream solution Effect, limited by known kinematic parameters and high noise interference. In this paper, novel learning model based on Pseudo Time Domain Demodulation (PDDD) Adaptation Network (DAN) proposed. It attempts construct relationship between signals bearing under unsupervised...

A selective conjugate hydrocyanation of aromatic enones by a one-pot, two-step procedure using potassium hexacyanoferrate(II) as an original eco-friendly cyanide source, hydroxide base, and benzoyl chloride promoter was described. This protocol has the advantages nontoxic high yield, simple workup procedure.

This paper proposes an impedance-accelerated inverse-time over-current protection optimization scheme based on the improved quantum genetic algorithm. First, speed of remote backup is by increasing level protection. Second, to ensure coordination when distributed generation connected distribution network, a mathematical model for inverse time parameters established. The takes minimum total action optimized main and as objective function, selectivity sensitivity requirements constraints. In...

Fault diagnosis has a direct impact on the economic benefits of modern rotating machinery industry. The input current fault methods is mostly original vibration signal or time–frequency graph obtained by short-time Fourier transform. Both these inputs use many data points, which reduces real-time performance model. Therefore, novel model proposed to achieve high accuracy when points are few. First, two frequency domain (FDS) and (TFG) processing with fast transform continuous wavelet Then,...

The efficient and environmentally friendly cyanoaroylation of imines bearing a thiazole ring via one-pot three-component condensation N-arylidenethiazol-2-amines, aroyl chlorides potassium hexacyanoferrate(II) is described. This protocol has the advantages using an eco-friendly cyanide source, simple work-up procedure affords high yields products.

Abstract The reliable and efficient simulation of a Long‐Term Evolution‐vehicle requires channel model that considers practical features vehicle ad hoc networks, such as large‐scale small‐scale fading effects from static mobile objects. However, existing vehicle‐to‐vehicle (V2V) models seldom consider networks. In this paper, we propose geometry‐enhanced WINNER II V2V model, which simulates responses among vehicles in arbitrary locations with detailed geographical information (eg, placement...

With the intensification of urban development in Chinese cities, mixed land use centers extends vertically into 3-D and expands its scale from a single building to commercial clusters. The multi-level pedestrian system city also changed role one traffic isolation spatial integration, where transit nodes, street sidewalks, squares, entrances, atriums, corridors are interconnected, both horizontally vertically, whole system, within which flows guided shopping facilities arranged. This paper...

The wireless signal propagation environment in future 5G is a challenging task to take into account all factors such as shapes of landscapes, buildings, moving objects and trees/foliage. Reliable efficient Long-Term Evolution-Vehicle (LTE-V) simulation requires channel model be realistic enough provide required effects real environment. In this paper, we propose Geometry Enhanced Winner II V2V (GEWV), which simulates the responses among vehicles arbitrary places with detailed geographical...

The asynchronous relative observations are incorporated in the cooperative localization system of multiple Autonomous Underwater Vehicles (AUVs) unknown environment this paper. First, motion model multi-AUV is established. Then, observation obtained when two AUVs meet and corresponding measurement introduced. state covariance matrix group can be easily distributed calculated on each AUV platform node by using extend Kalman filtering (DEKF) algorithm. with proposed DEKF algorithm was...

With the increasing application of communication technologies, distributed secondary control in islanded microgrids (MGs) is danger due to previously unheard-of denial-of-service (DoS) attacks. Current studies rarely delve into how DoS attacks affect frequency restoration and active power sharing their defensive strategies. In this paper, we firstly design principle random number generation (RNG) verify correctness transmission data. Then, implementation RNG-based attack-resilient strategy...