Due to wide-ranging applications of piezoelectric nanostructures as the next generation smart devices, this article analyzes size-dependent buckling and free vibration performance fluid-conveying functionally graded-graphene nanoplatelets reinforced composite (FG-GPLRC) porous cylindrical nanoshell embedded in layer subjected temperature gradient a uniform electrical field based on modified couple stress theory incorporated into first-order shear deformation theory. Classical continuum...

Recoverable mechanoluminescence (RML) has shown attractive potential in diverse fields of stress sensors, lighting, displays, and bioexcitation. However, efficient RML materials are universally constructed with a noncentrosymmetric lattice as the matrix, encountering limitations obtaining centrosymmetric availability. In this work, we report an amazing well-known persistent phosphor CaTiO3:Pr3+ structure, which exhibits intense, reproducible, quantitative emission under stimulation...

Current label-free surface-enhanced Raman spectroscopy (SERS) assay for the detection and analysis of organophosphorus pesticides has achieved initial success, but application still faces constraints substrate portability specificity. To this end, paper demonstrates a method portable, rapid, specific low concentrations fenthion based on solid gold nanoparticle monolayers combined with molecularly imprinted polymers (MIPs). The nano-monolayers were transferred to surface mercapto-silicon...

There have been increasing interests in exploring the sensing capabilities of RFID to enable numerous IoT applications, including object localization, trajectory tracking, and human behavior sensing. However, most existing methods rely on signal measurement either a low multipath environment, which is unlikely exist many practical situations, or with special devices, increase operating cost. This paper investigates possibility measuring `multi-path-free' information multipath-prevalent...

Edge computing satisfies the stringent latency requirements of data access and processing for applications running on edge devices. The location service is a key function to provide storage retrieval enable these applications. However, it still lacks research scalable low-latency in mobile computing. Meanwhile, existing solutions, such as DNS DHT, fail meet low requirement This paper presents hybrid data-sharing framework, HDS, which divided into two parts: intra-region inter-region. In...

The imbalance problem exists in P300 EEG data sets because potential are collected under the condition of Oddball experimental paradigm. Hence, a detection method, namely RUSBagging SVMs, is proposed this paper to solve and make an improvement. This algorithm re-samples at first generate rebalanced training set one round iteration trains SVM classifier based on set. Next, classifiers integrated final decision. In integration several classifiers, information that lost under-sampling process...

The hierarchical mobile edge computing satisfies the stringent latency requirements of data access and processing for emerging applications. location service is a basic function to provide storage retrieval enable these However, it still lacks research scalable low-latency in environment. existing solutions, such as DNS DHT, fail meet requirement those latency-sensitive Therefore, this article, we present hybrid data-sharing framework, HDS. HDS divides into two parts: intra-region...

Allowing a device to verify the digital certificate of another is an essential requirement and key building block many security protocols for emerging future IoT systems that involve device-to-device communication. However, on-device verification challenging current devices, mainly because revocation (CR) checking step costs too much resource on devices synchronization CR status yields long latency. This paper presents system called TinyCR, which achieves 100% accuracy, memory computation...

We propose to study mobile object tracing, which allows a system report the shape, location, and trajectory of objects appearing in video camera identifies each them with its cyber-identity (ID), even if appearances are not known system. Existing tracking methods either cannot match their cyber-IDs or rely on complex vision modules pre-learned from vast well-annotated datasets including target objects, may exist practice. design implement TagAttention, vision-RFID fusion that archives...

Though being widely used in industrial and logistic applications, current passive RFID technology still has a fundamental limitation: Individual users, who do not carry any reader, are difficult to interact with tagged items, such as retrieving their digital profiles requesting certain association them. Recent proposals improve user-item interaction experience rely on special hardware smartphone based RID scanner. This work presents promising approach allow each user item using only one tag,...

There have been increasing interests in exploring the sensing capabilities of RFID to enable numerous IoT applications, including object localization, trajectory tracking, and human behavior sensing. However, most existing methods rely on signal measurement either a low multipath environment, which is unlikely exist many practical situations, or with special devices, increase operating cost. This paper investigates possibility measuring ‘multi-path-free’ information multipath-prevalent...

To simulate the concept acquisition and binding of different senses in brain, a biologically inspired neural network model named perception coordination (PCN) is proposed. It hierarchical structure, which functionally divided into primary sensory area (PSA), association (SAA), higher order (HAA). The PSA contains feature neurons respond to many elementary features, e.g., colors, shapes, syllables, basic flavors. SAA combine features represent unimodal objects, image an apple, Chinese word...

The development of rural sports tourism in the national strategy “Rural Revitalization” has obvious time value: to promote adjustment economic structure and cultural pluralism, meet needs political construction. By using method literature logical analysis, this paper studies value current situation China, puts forward way tourism. main conclusions are as follows: is great urban-rural integration, upgrading industrial structure, transformation surplus labor, sustainable culture healthy...

Due to the variety of transformer models and complexity image, traditional method based on machine learning for artificial design features cannot be large-scale accurate identification. This paper proposes a image recognition system deep learning, which can acquire target results directly by "end-to-end" from original acquired images. In order realize classification images, this selects convolutional neural network algorithm apply recognition, constructing designing structure classifier...

Though widely used in industrial and logistic applications, current passive Radio Frequency Identification (RFID) technology still has a fundamental limitation: Individual users who do not carry any reader find it difficult to interact with tagged items, such as retrieving their digital profiles requesting certain associations them. Recent proposals improve the user–item interaction experience rely on special hardware, smartphone-based RFID scanner. This work presents promising approach...

In the complex process of wound healing, oleogels (OG) are suitable as primary component dressing materials, but they cannot meet diverse requirements at different healing stages. this study, a new kind carbon dots (CrCi‐CDs) prepared by carbonizing human hair, exhibits excellent hemostatic, antibacterial, anti‐inflammatory, and pro‐angiogenic properties thus supports various stages effectively. Such CrCi‐CDs incorporated into OG to produce CrCi‐CD/OG composite material with enhanced...

We propose to study mobile object tracing, which allows a system report the shape, location, and trajectory of objects appearing in video camera identifies each them with its cyber-identity (ID), even if appearances are not known system. Existing tracking methods either cannot match their cyber-IDs or rely on complex vision modules pre-learned from vast well-annotated datasets including target objects, may exist practice. design implement TagAttention, vision-RFID fusion that achieves...

As the primary channel for users to report and resolve service issues, customer care has historically been a critical resource-intensive aspect of operating cellular networks. However, owing inherent complexity in correlating network events with performance experienced by individual users, adoption data-driven solutions leveraging data realtime troubleshooting during calls remained challenge providers (CSPs). In this work, we propose novel ML aSsisted cEllular sErvice diagNosis (SEEN)...

The analysis of Raman spectrum data has gradually transitioned into the era machine learning. However, it is still constrained by challenge acquiring large volumes raw and issue losing characteristic information from spectral data. In this paper, we propose a strategy that combines amplification attention mechanisms for analyzing antibiotic Firstly, Generative Adversarial Network was employed to amplify SERS eight antibiotics 10 times, augment dataset fulfill requirements neural network....