How to help patients find their departments or wards is an issue that needs be solved by hospitals urgently.This paper presents iBeacon-based indoor positioning system for hospitals.It firstly analyzes the advantages of iBeacon compared with common technologies; then designs based on three-layer architecture Internet things have message-push-service through clients.Finally, shortest distance algorithm Floyd used recommend nearest department ward patients.Shown as result experiment, can...

In response to the problem that facial features are likely cause privacy leakage and identity theft of user, this paper presents a method for generating De-identification images based on attention models adversarial examples. The has two training stages. Stage 1, target classification networks used as an module extract Refined Features image perform feature fusion obtain face matrix. 2, matrix is initial data distribution generator in generation network adds pixel-level constraint loss...

Effective spatiotemporal transfer of electrons/holes is essential for enhancing photocatalytic performance. Plasmonic heterojunction structures can expedite electron to timescales as short hundreds femtoseconds. However, the process faces...

Microgrids have become a hot topic driven by the dual pressures of environmental protection concerns and energy crisis. In this paper, challenge for distributed control modern electric grid incorporating clusters residential microgrids is elaborated hierarchical multi-agent system (MAS) proposed as solution. The issues how to realize MAS improve coordination strategies are discussed. Based on MATLAB ZEUS platforms, bilateral switching between grid-connected mode island performed under...

The excellent generalization ability of deep learning methods, e.g., convolutional neural networks (CNNs), depends on a large amount training data, which is difficult to obtain in industrial practices. Data augmentation regarded commonly as an effective strategy address this problem. In paper, we attempt construct crack detector based CNN with twenty images via two-stage data method. detail, nine methods are compared for detection the model training, respectively. As result, rotation method...

Abstract Face image features represent significant user privacy concerns. images cannot be privately transferred under existing protection methods, and data across various social networks are unevenly distributed. This paper proposes a method for face based on federated learning ensemble models. A model distributed sets was established by means of learning. On the client side, local facial recognition obtained training used as input PcadvGAN to train several rounds. server parameter...

Motivated by the development of electric vehicles (EVs), this paper addresses planning EV charging infrastructures (EVCIs). Considering that optimal locations for EVCIs in most cities with a tight land supply are difficult to obtain, it is significant study such cities. This proposes method and model under condition alternative centralized (CCIs) known. Firstly, based on principle energy equivalence, sales volume fuel gas stations planned area converted into equivalent quantity (EEQ) EEQ...

The disclosure of face image features can seriously threaten the security user information, which limits application recognition technology in Internet Vehicles. This paper proposes a new method generating and restoring private images based on semantic adversarial examples. Segnet network first segments semantically, then generative generates examples perturbs image. perturbation position be accurately controlled through coefficient matrix as identity tag is concealed steganographically. A...

ABSTRACT Shear‐thickening fluid (STF) refers to a system where nonaggregating solid particles are suspended in specific fluid. Due its unique viscosity variation, STFs have attracted lot of attention as soft body armor materials for impact protection. In this work, two kinds were designed using polyethylene glycol (PEG) and spherical or irregularly shaped silica particles. Rheological results showed that shear thickening can even occur at lower rates the silica‐based STF; however, range STF...

The sharing bike system is emerging as a new type of transportation with the advance smart city in recent years. More and more people will choose to ride bicycle for short-distance travel. While bikes provide convenient services customers, there are also many unfavorable factors system, which have certain impact on riding experience customers. One obvious disadvantages imbalance usage because abnormal distribution stations different areas. Despite some prediction work been done, most them...

Herein, a dual-mode detection system was constructed for efficient and accurate of bisphenol A (BPA) with the assistance BPA-induced hybridization chain reaction (HCR). The captured DNA (cDNA) first modified on surface magnetic spheres gold nanoparticles polydopamine then hybridized BPA aptamer to form double-stranded (dsDNA). In presence target, released from sphere. free cDNA triggered HCR construct duplex. Methylene blue (MB), as bifunctional probe, intercalated into amplify photocurrent...

Textile dyes from wastewater effluent are highly toxic to both living species and aqueous environments. An environmentally friendly method remove hazardous in the textile industry has been a challenge. Chitosan (CS) activated carbon (AC) widely used as adsorbents for dye removal. However, poor porosity unsatisfactory stability of CS unfriendly cost AC limited their applications be alone single adsorbent. Here, we report novel prepare CS/AC membrane using PEG10000 porogen sodium...

Health monitoring and remote diagnosis can be realized through Smart Healthcare. In view of the existing problems such as simple measurement parameters wearable devices, huge computing pressure cloud servers, lack individualization diagnosis, a novel Cloud-Internet Things (C-IOT) framework for medical is put forward.Smart phones are adopted gateway devices to achieve data standardization preprocess generate health gray-scale map uploaded server. The server realizes business logic processing...

A negative wordline bias scheme is utilized to reduce the subthreshold leakage of deep submicron DRAM cell transistors. With excessive bias, gate-induced drain (GIDL) could dominate and degrade product retention time performance. The dependence on for a 256-Mbit with 0.14/spl mu/m ground rule investigated. fail bit count in tail distribution increases as goes more temperature increases. array density 1.14M also characterized device behavior. dependent GIDL believed be due band defect...

This paper deals with the application of a voltammetric electronic tongue towards discrimination various brands pure milk samples. The consists three working electrodes made gold, platinum and silver, applied waveform is staircase voltammetry. Both principle component analysis (PCA) partial least squares-discriminant (PLS-DA) were to evaluate data current responses electrode array. results indicate PCA can not completely identify whatever are from individual or all electrodes, but algorithm...

A new approach for qualitative analysis of milk adulterated with urea is proposed by multi-way principal component (MPCA) and partial least squares discriminant (NPLS-DA) based on voltammetric electronic tongue. 9 pure samples 11 different contents were prepared the current response values tongue measured consequently. MPCA was used to distinguish urea-tainted milk. Furthermore, a NPLS-DA model developed using first five components (PCs) according distribution PCs computed MPCA. It shown...

Deep-learning models can realize the feature extraction and advanced abstraction of raw myoelectric signals without necessitating manual selection. Raw surface are processed with a deep model in this study to investigate feasibility recognizing upper-limb motion intents real-time control auxiliary equipment for rehabilitation training. Surface collected on six motions eight subjects’ upper limbs. A light-weight convolutional neural network (Lw-CNN) support vector machine (SVM) designed...