Abstract The development of wireless technologies and the popularity mobile devices is responsible for generating large amounts trajectory data moving objects. Trajectory datasets have spatiotemporal features are a rich information source. mining can reveal interesting patterns human activities behaviors. However, also be exploited to disclose users’ privacy information, e.g., places they live work, which could abused by malicious user. Therefore, it very important protect before publishing...

In order to mine information from medical health data and develop intelligent application-related issues, the multi-modal feature representation learning related content was studied, several models were proposed for disease risk assessment. aspect of text learning, a model based on convolutional neural network is proposed. The analysis technology applied assessment application. adopts deep method. extraction different characteristics use same method realize versatility model. A simple...

Purpose More people share their tourism experiences on social media today than in the past, and as a result, more follow these posts trip planning. However, studies into tourists' intention to such are scarce. Therefore, this study investigates antecedents influencing users' intentions tourism-related (TRPs) when planning trips. Design/methodology/approach Questionnaires were collected from 402 users who had followed TRPs for Data then analyzed using partial least squares structural equation...

Safe operation control systems are the most important aspect of medical device development apart from machine's function itself. Due to fact that machines used on people, how people can protect themselves intelligent/programmed automatic or semiautomatic operating is an unavoidable problem. The Massage Robot application based its potential, lightweight nature and underlying Internet Things (IoT) properties. robots currently going into in clinical trials. Handheld system interruption...

Radiotherapy has become a common treatment option for head and neck (H&N) cancer, organs at risk (OARs) need to be delineated implement high conformal dose distribution. Manual drawing of OARs is time consuming inaccurate, so automatic based on deep learning models been proposed accurately delineate the OARs. However, state-of-the-art performance usually requires decent amount delineation, but collecting pixel-level manual delineations labor intensive may not necessary representation...

As affordable equipment, electronic portal imaging devices (EPIDs) are wildly used in radiation therapy departments to verify patients' positions for accurate radiotherapy. However, these tend produce visually ambiguous and low-contrast planar digital radiographs under megavoltage x ray (MV-DRs), which poses a tremendous challenge clinicians perform multimodal registration between the MV-DRs kilovoltage reconstructed (KV-DRRs) developed from planning computed tomography. Furthermore,...

Biometric identification has verified its effectiveness in personal identity verification because of the uniqueness and noninvasion. In this research, we tend to apply detection biometric information a remote sensing system for purpose security area monitoring. Our is established by collecting signals from coming individuals via measurement specific condition where both kinds data are detected determine identity. Specifically, measuring gait facial images integrated provide way improving...

ABSTRACTDespite the dramatic changes COVID-19 brought to international higher education (IHE), studies investigating students’ destination choices for IHE from a pandemic perspective are limited. This study introduces an integrated model combining image-perceived value-behavioral intention framework and protection motivation theory, which includes both promotion prevention factors captures images regarding COVID-19, examine influencing their purposes in post-COVID-19 era. set China as...

In order to effectively remove the magnetocardiography (MCG) signal noise and improve accuracy of heart disease diagnosis, a cardiac Fourier-wavelet denoising method based on sparse representation is used process magnetic signal. The reduction combines advantages Fourier wavelet. initial performed in domain, then residual removed wavelet domain. Based theory representation, transformed into an optimization problem, model established. By eliminating sparsity coefficients, purpose removal...

In spite of the increasing demand for all kinds sensing services and applications, there still lacks a clear understanding collaborative techniques to design protocols wireless sensor networks. This paper proposes data gathering mechanism based on fuzzy decision The proposed algorithm integrates some key parameters, example, nodes’ residual energy level, number neighbors, centrality degree, distance sink, into decision. Numerical simulation results validate networks in finding optimum...

In parallel with the rapid adoption of deep learning to multimedia data analysis, there has been growing awareness and concerns about security privacy. The recent advancement federated enables many network clients collaboratively train a model under orchestration central server while preserving clients’ However, standard assumption independent identical distribution (IID) may be broken because label preferences vary across clients. Recent efforts address this issue either by adapting strong...

As an important research field, face detection has been highly paid attentions by researchers. It theoretical value and application in computer vision pattern recognition technologies. Aimed at the problems over-training phenomenon, this paper presents improved sample training classifier, just considering feature uncertainty nearby threshold, these features corresponding samples adopted a new weight updating method. Experimental results show that classifier can obtain high rates than...

In this paper, a method aimed at optimizing contrast of mammographic features is presented. Contrast enhancement accomplished by applying local range modification on curvelet coefficients. The standard deviation coefficient values for each scale/angle pair (j,l) calculated as an index to increase the gain subband processed image derived reconstruction from modified edge protection and improvement are used evaluate quality proceeded regions containing verified lesions. Results experiment show...

Recently, the style-based generative adversarial network StyleGAN2 yields state-of-art performance on unconditional high-quality image synthesis. However, from perspective of steganography, security is not guaranteed during Relying optimal properties StyleGAN2, this paper proposes a noise-optimization stacked named NOStyle to generate secure and cover (image used for data hiding). In our proposed scheme, we decompose synthesis into two stages with symmetrical mode. stage-I, preserved...

High Efficiency Video Coding (HEVC) is the next generation video coding standard. In HEVC, 35 intra prediction modes are defined to improve efficiency, which result in huge computational complexity, as a large number of and flexible unit (CU) structure adopted CU coding. To reduce this burden, paper presents gradient-based candidate list clipping algorithm for Intra mode prediction. Experimental results show that proposed can 29.16% total encoding time with just 1.34% BD-rate increase –0.07...

While convolutional neural networks (CNNs) have become the first choice for medical image segmentation, they still lack critical ingredient of incorporating priors, such as smoothness and boundary shapes. The authors tackle limitation by developing a novel prior that is boundary‐aware in two ways: promoting without blurring object boundaries punishing prediction errors according to They bring property into effect weighting gradients with distance map. Their differs from previous approaches...

The advancement of wireless communication technology and sensor technology, as well the popularity portable devices has promoted location-based services (LBS) to a new stage, while spatial-temporal query techniques scenarios have emerged continuously. One interesting is spatial skyline that retrieves those points P not dominated by any other point in with respect their derived attributes. However, being point-based, former method suitable for privacy protection. In this article, we propose...

Thecurrent practice in intensity-modulated radiation therapy (IMRT) planning almost always includes different dose calculation strategies for plan optimization and final verification. The accurate Monte Carlo (MC) algorithm is considered to be time-consuming the optimization. Thus a fast, simplified used significant differences between optimized delivered lead tediously loops potentially suboptimal solutions. This work aims develop an IMRT minimize discrepancy so that can holistic,...

The working system of higher education institutions is based on cultivation, scientific research, serving the economic construction, and dissemination innovation civilizations. Undergraduate teaching assessment a vital method to strengthen macro-management education, enhance efficiency effectiveness schooling in China. It also an effective way promote establishment quality assurance plays significant role improving undergraduate training teaching. qualifying examination comprehensive...