• Authorized Attribute-Based Encryption Multi-Keywords Search with Policy Updating
  • Abstract Attribute-based encryption is cryptographic techniques that provide flexible data access control to encrypted data content in cloud storage. Each trusted authority needs proper management and distribution of secret keys to the user’s to only authorized user’s attributes. However existing schemes cannot be applied multiple authority that supports only a single keywords search compare to multi keywords search high computational burden or inefficient attribute’s revocation. In this paper, a ciphertext policy attribute-based encryption (CP-ABE) scheme has been proposed which focuses on multi-keyword search and attribute revocation by new policy updating feathers under multiple authorities and central authority. The data owner encrypts… More
  •   Views:38       Downloads:40        Download PDF
  • Knowledge Graph Representation Reasoning for Recommendation System
  • Abstract In view of the low interpretability of existing collaborative filtering recommendation algorithms and the difficulty of extracting information from content-based recommendation algorithms, we propose an efficient KGRS model. KGRS first obtains reasoning paths of knowledge graph and embeds the entities of paths into vectors based on knowledge representation learning TransD algorithm, then uses LSTM and soft attention mechanism to capture the semantic of each path reasoning, then uses convolution operation and pooling operation to distinguish the importance of different paths reasoning. Finally, through the full connection layer and sigmoid function to get the prediction ratings, and the items are sorted… More
  •   Views:35       Downloads:35        Download PDF
  • A LoRaWAN Access Technology Based on Channel Adaptive Adjustment
  • Abstract Low-power wide area network (LPWAN) has developed rapidly in recent years and is widely used in various Internet of Things (IoT) services. In order to reduce cost and power consumption, wide coverage, LPWAN tends to use simple channel access control protocols, such as the Aloha protocol. This protocol is simple with poor extension capability. In high-density environment, Aloha protocol will lead to low channel utilization, prolonged access and high conflict probability. Therefore, in order to solve the above problems, we propose an enhanced channel access control mechanism based on the existing LoRaWAN protocol, that is, a dynamic listening backoff mechanism.… More
  •   Views:38       Downloads:36        Download PDF
  • Mixed Noise Removal by Residual Learning of Deep CNN
  • Abstract Due to the huge difference of noise distribution, the result of a mixture of multiple noises becomes very complicated. Under normal circumstances, the most common type of mixed noise is to add impulse noise (IN) and then white Gaussian noise (AWGN). From the reduction of cascaded IN and AWGN to the latest sparse representation, a great deal of methods has been proposed to reduce this form of mixed noise. However, when the mixed noise is very strong, most methods often produce a lot of artifacts. In order to solve the above problems, we propose a method based on residual learning… More
  •   Views:41       Downloads:36        Download PDF
  • Cogitation on the Mental Health Service System during the COVID-19 Outbreak in China
  • Abstract The spread of the novel coronavirus disease (COVID-19) in China from December 2019 to April 2020 caused serious social panic and other psychological problems among the Chinese public. Thus, reducing the public panic of and the long-term adverse psychological effects on individuals and society resulting from the epidemic became the priority task for mental health professionals in China. Based on the experiences in providing mental health services during SARS outbreak, the perspectives and strategies for targeted mental health services are reported. Furthermore, the cogitation on the problems with mental health services in China during the outbreak of COVID-19 are discussed. More
  •   Views:42       Downloads:31        Download PDF
  • The Impact of COVID-19 on Spanish Health Professionals: A Description of Physical and Psychological Effects
  • Abstract Aim: To describe the physical and psychological symptoms in healthcare workers caring for COVID-19 patients. Methods: Cross-sectional descriptive study design. A sample of 1,452 participants was collected. Sociodemographic data were recorded. Symptoms of anxiety were screened with Generalized Anxiety Disorder (GAD-7), symptoms of depression were measured with the Patient Health Questionnaire (PHQ-9), and finally physical symptoms were measured using the Patient Health Questionnaire (PHQ-15). Percentages, means and standard deviations, the one-way and two-way ANOVA test, the Chi square test and Pearson’s correlation coefficient were all calculated. The level of significance was (p < 0.05). Results: Medium levels of anxiety (range,… More
  •   Views:70       Downloads:34        Download PDF