As the age profile of many societies continues to increase, in addition increasing population people affected by chronic diseases, including diabetes, cardiovascular disease, obesity, and so on, supporting health, both mentally physically, is importance if independent living be maintained. Sensing, remote health monitoring, and, ultimately, recognising activities daily have been an promising solution. From a technical perspective, Internet Things (IoT) gaining rapidly growing attention...

Establishing trust and reputation for evaluation of message reliability is key to the vehicular ad hoc networks (VANETs). Most previous management systems focus on effectiveness system in handling liars who send false service messages. However, these have two drawbacks. One that they are vulnerable tactical attacks such as self-promoting bad-mouthing attacks. The other may violate location privacy because assume every vehicle communicates with a unique ID. Our research particularly...

Human activity recognition (HAR) has become a crucial research area for many applications, such as Healthcare, surveillance, etc. With the development of artificial intelligence (AI) and Internet Things (IoT), sensor-based HAR gained increasing attention presents great advantages to existing work. Relying solely on labeled data may not adequately address challenge ensuring model’s generalization ability new data. The ’CLEAR’ method is designed improve accuracy multimodal human recognition....

Robust activity recognition in near real-time is a prerequisite for delivering the smartness intrinsic to pragmatic realisation of smart homes, environments and so forth. Many physical devices necessary equipping home are already available as consumer electronic certified use by public. Yet remains preserve research community, despite array machine learning other AI techniques currently available. To-date, has been dominated pre-segmented data, resulting an arbitrary subsequent its...

As the age profile of many societies continues to increase, supporting health, both mental and physical, is increasing importance if independent living be maintained. Sensing, monitoring, recognizing activities daily living, ultimately delivering immediate healthcare services has been perceived as a prerequisite for detecting health status users. To date, extensive research made in above-mentioned areas, which frequently named Ambient Assisted Living (AAL). Recently, term Internet Things...

Urban rivers are vital for urbanization and regional economic development, which can provide water living, industrial agricultural needs of urban residents, regulate the hydrological environment in urban. The exploration health based on resilience theory important reference restoration construction. To this purpose, study explores status Jialu River during 2011–2020 from perspective resilience. First, a comprehensive indicator system was established analysis rivers. Second, an index (URRI)...

A trust model of sensor nodes in WSNs that named AEMP is proposed. means 'Addition Encouragement, Multiplication Punishment'. Compared with current other models, works simple calculation and needs fewer resources. The paper also discusses different values' influence parameters to evaluation performance. Then the integrated direct indirect value discussed. This integration can identify a bad node more quickly, but it may conduct problem malicious evaluation. For each kind model, lot...

Constructing an accurate and comprehensive knowledge graph of specific diseases is critical for practical clinical disease diagnosis treatment, reasoning decision support, rehabilitation, health management. For construction tasks (such as named entity recognition, relation extraction), classical BERT-based methods require a large amount training data to ensure model performance. However, real-world medical annotation data, especially disease-specific samples, are very limited. In addition,...

How to maximize the number of desirable active sites on surface catalyst and minimize promoting undesirable side reactions is currently an important research topic. In this study, a new way based synergism achieve successful fabrication ordered heterobimetallic self-assembled monolayer (denoted as BMSAM) with controlled composition excellent orientation metals in was developed. BMSAM consisting phenanthroline Schiff-base groups prepared, its novel (Cu Pd) anchored silicon Si-Fmp-Cu-Pd fixed...

Software defect prediction (SDP) can help software developers and quality assurance personnel to effectively predict fault proneness. Recently, researchers have proposed a lot of methods improve the predicting results, especially under within-project (WPDP) setting. However, cross-project (CPDP) is difficult because data distribution difference between source target projects. Transfer learning model has been proven that it reduce difference. By intuition, if better selected, we get...

Fuzzy Clustering Analysis is one of the most popular research currently. It attracts people's attention for it's validity in resolving fuzzy problem. With development computer science, based on objective function became hot topics and C-means Algorithm perfect widely used theories although there are some drawbacks classical algorithm itself. This paper summarizes progress FCM algorithm, improvements were analyzed compared.

In vehicular participatory sensing, vehicles may provide false data or low-quality data. Building trust in ad hoc networks is an efficient way to deal with this issue. On one hand, need disclose necessary information demonstrate their trustworthiness. the other tend hide sensitive preserve user privacy. Therefore, privacy and are conflict networks. A cluster-based reputation framework named ClusterRep proposed balance framework, cluster head collaborates members change pseudonyms values. The...

Before 2008, China lacked high-coverage regional surface observation data, making it difficult for the Meteorological Administration Land Data Assimilation System (CLDAS) to directly backtrack high-resolution, high-quality land assimilation products. To address this issue, paper proposes a deep learning model named UNET_DCA, based on UNET architecture, which incorporates Dual Cross-Attention module (DCA) multiscale feature fusion by introducing Channel (CCA) and Spatial (SCA) mechanisms....

With the development of information technology and computer science, high-capacity data appear in our lives. In order to help people analyzing digging out useful information, generation application mining seem so significance. Clustering decision tree are mostly used methods mining. can be for describing applied analyzing. After combining these two effectively, we reflect characters potential rules syllabify. This paper presents a new synthesized algorithm named CA which improves original...

Purpose Material conscious and information network (MCIN) is a kind of cyber physics social system. This paper aims to study the MCIN modeling method design MCIN-based architecture smart agriculture (MCIN-ASA) which different from current vertical involves production, management commerce. Architecture composed three MCIN-ASA participants are enterprises, individuals commodity. Design/methodology/approach uses enterprises personalized portals as carriers linked precisely with each other...

Guided depth map super-resolution (GDSR), as a hot topic in multi-modal image processing, aims to upsample low-resolution (LR) maps with additional information involved high-resolution (HR) RGB images from the same scene. The critical step of this task is effectively extract domain-shared and domain-private RGB/depth features. In addition, three detailed issues, namely blurry edges, noisy surfaces, over-transferred texture, need be addressed. paper, we propose Spherical Space feature...

This paper presents a data mining based dynamic scheduling approach which responses to changing system status for semiconductor manufacturing system. The proposed approach, on the historical data, applies genetic algorithm as feature selection tool eliminate redundant and K-nearest neighbor classifier select rule. Finally, strategy model is built make real-time decision Here, efficacy function information entropy are used multi-objective evaluation. ensures selected optimizes various...

For Vehicle Ad-Hoc Network (VANET), the accurate traffic flow information may offer useful guidance to drivers. In past few years, applications of big data bring about opportunities for intelligent control and management. This paper uses an optimization support vector regression (SVM) as a way prediction. Particle swarm (PSO) is applied parameter (SVR), which improves performance prediction system. The experimental results show that method has good effect.

In today's digital and information-based manufacturing environment, data are basic elements for almost every production control management activity. This paper focuses on processing based attribute analysis. There thousands of attributes in semiconductor manufacturing. However, some them irrelevant and/or redundant to optimal issues. It is hard decide which should be considered as input references. Rational selection may lead an accurate scheduling strategy finally exerts a positive impact...

Autonomous driving is becoming a reality-but low-cost 79 GHz radar antenna technology still imperfect. Here, the authors propose kind of proximity-coupled feed patch array. By reducing non-linear mutual interference between transmission line and radiating elements, antenna's operating bandwidth improved gain increased. Moreover, consistency radiation pattern at different frequencies also improved. The simulation results show that has −10 dB impedance from 76 to 81.4 GHz, >14.8 dB. Within...