Xiukai Ruan¹, Shahid Iqbal Awan^2,*

Journal on Internet of Things, Vol.4, No.4, pp. 215-225, 2022, DOI:10.32604/jiot.2022.038270

Abstract A SCMA ACO-OFDM downlink visible light communication (VLC) system is proposed. Six users share four spectrum resources, four of which are 4 primary color LED lights. ACO-OFDM technology is used to convert the user’s sparse codebook mapped signal into a positive real value signal that can be carried on the light wave, which can realize high-speed parallel communication. Simulation verifies the feasibility of the system. At the same time, the channel model of visible light communication is constructed, and the signal-to-noise ratio(SNR) and channel gain of the visible light channel are systematically analyzed. Finally, the theoretical bit error rate formula… More >

A. Rault, J. Terrasson, A. Brédart, S. Dolbeault

Psycho-Oncologie, Vol.17, No.2, pp. 79-84, 2023, DOI:10.3166/pson-2022-0213

Abstract Cet article rend compte des divers questionnements cliniques et éthiques apparus au cours de notre recherche en psycho-oncologie. Celle-ci porte sur la communication entre les oncologues et leurs patients, et les pédiatres-oncologues et les parents d’enfants malades à un moment particulier de la prise en charge : l’annonce de la résistance au traitement antitumoral et l’absence d’alternative curative connue. La mise en place d’une telle étude nécessite de prendre en compte les aspects émotionnels et psychologiques en jeu. Dans un premier temps, nous pré- sentons les interrogations portant sur le recrutement des participants : comment et quand les contacter ?… More >

Hui Wei, Leibing Yan^*

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.2, pp. 1805-1824, 2023, DOI:10.32604/cmes.2023.028072

Abstract This paper focuses on the secrecy efficiency maximization in intelligent reflecting surface (IRS) assisted unmanned aerial vehicle (UAV) communication. With the popularization of UAV technology, more and more communication scenarios need UAV support. We consider using IRS to improve the secrecy efficiency. Specifically, IRS and UAV trajectories work together to counter potential eavesdroppers, while balancing the secrecy rate and energy consumption. The original problem is difficult to solve due to the coupling of optimization variables. We first introduce secrecy efficiency as an auxiliary variable and propose relaxation optimization problem, and then prove the equivalence between relaxation problem and the original… More >

Fangyu Ye¹, Xiaoshu Xu^2,*, Yunfeng Zhang³, Yan Ye⁴, Jingyu Dai^5,*

Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1257-1274, 2023, DOI:10.32604/iasc.2023.037057

Abstract In order to Improvement the Neutrosophic sets as effective tools to deal with uncertain and inconsistent information. The research takes methodology of combined single-valued neutrosophic rough set and multi-scale decision systems. This paper proposes the optimal scale selection and reduction algorithms based on multi-scale single-valued neutrosophic dominance rough set model. User requirements were analyzed using KJ method to construct a hierarchical model. According to the statistics of representative studies from China and the West, we found that, on the one hand, classical theory has been expanded and supplemented in fashion culture communication and marketing. The topics are more micro-diverse, and… More >

Zhen Zhen¹, Jian Gao^1,2,*

Computer Systems Science and Engineering, Vol.47, No.1, pp. 955-973, 2023, DOI:10.32604/csse.2023.039525

Abstract Telecommunication fraud has run rampant recently worldwide. However, previous studies depend highly on expert knowledge-based feature engineering to extract behavior information, which cannot adapt to the fast-changing modes of fraudulent subscribers. Therefore, we propose a new taxonomy that needs no hand-designed features but directly takes raw Call Detail Records (CDR) data as input for the classifier. Concretely, we proposed a fraud detection method using a convolutional neural network (CNN) by taking CDR data as images and applying computer vision techniques like image augmentation. Comprehensive experiments on the real-world dataset from the 2020 Digital Sichuan Innovation Competition show that our proposed… More >

D. Ogez, J. Aramideh, E. Rondeau, T. Mizrahi, M.-C. Charest , C. Plante, M. Duval, S. Sultan

Psycho-Oncologie, Vol.16, No.1, pp. 199-205, 2022, DOI:10.3166/pson-2022-0185

Abstract Les enfants atteints d’un cancer sont régulièrement confrontés à des procédures douloureuses au cours de leur prise en charge. Afin de les accompagner au mieux dans leurs soins, des techniques de communication dérivées de l’hypnose ont montré d’excellents niveaux d’efficacité sur la réduction de la détresse et de la douleur associées à ces procédures. Nous avons mené une étude préliminaire évaluant les effets d’une formation à la communication hypnotique sur la pratique des infirmières lors de procédures douloureuses auprès d’enfants atteints d’un cancer. Les résultats ont montré une bonne acquisition des techniques par les infirmières et des effets importants de… More >

A. Katz

Psycho-Oncologie, Vol.16, No.3, pp. 285-288, 2022, DOI:10.3166/pson-2022-0203

Abstract Sexual side effects of cancer treatment are common and, unfortunately, often not discussed with patients and their partner. This may be due to personal factors of the health care provider, fear of offending the patient or lack of knowledge, time constraints, and perception of the importance to the patient based on age and severity of the cancer. Despite the barriers to communication about a sensitive topic, oncology care providers are well situated to initiate the conversation. This article will identify key issues related to communication about sexuality by oncology care providers with individuals with the most common kinds of cancer.… More >

H. Zarglayoun, C. Arbour, J. Delage, S. Pierre, M. Tremblay, D. Hjeij, P. Rainville, D. Ogez

Psycho-Oncologie, Vol.16, No.4, pp. 375-379, 2022, DOI:10.3166/pson-2022-0202

Abstract Objective: This project aimed to train nurses on an oncology unit in hypnotic communication to reduce treatment-related pain and anxiety in their patients. A pilot study was conducted to assess changes in hypnotic communication behaviors associated with the training.
Methods: Nurses were recruited and their interactions during a simulated patient admission for treatment (before and after training) were recorded. Hypnotic communication skills were assessed by independent reviewers using a training checklist listing different hypnotic communication techniques and a validated assessment scale (Sainte-Justine Hypnotic Communication Assessment Scale, SJ-HCAS).
Results: Seven nurses were evaluated. Wilcoxon pairedsample tests (pre–post) reported significant improvement with… More >

Shen Guo^*, Jiaying Lin, Shuaitao Bai, Jichuan Zhang, Peng Wang

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 1053-1066, 2023, DOI:10.32604/iasc.2023.038332

Abstract The main function of the power communication business is to monitor, control and manage the power communication network to ensure normal and stable operation of the power communication network. Communication services related to dispatching data networks and the transmission of fault information or feeder automation have high requirements for delay. If processing time is prolonged, a power business cascade reaction may be triggered. In order to solve the above problems, this paper establishes an edge object-linked agent business deployment model for power communication network to unify the management of data collection, resource allocation and task scheduling within the system, realizes… More >

Yue Yu¹, Junhua Wu^1,*, Guangshun Li¹, Wangang Wang²

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 583-598, 2023, DOI:10.32604/iasc.2023.037875

Abstract As an emerging hot technology, smart grids (SGs) are being employed in many fields, such as smart homes and smart cities. Moreover, the application of artificial intelligence (AI) in SGs has promoted the development of the power industry. However, as users’ demands for electricity increase, traditional centralized power trading is unable to well meet the user demands and an increasing number of small distributed generators are being employed in trading activities. This not only leads to numerous security risks for the trading data but also has a negative impact on the cost of power generation, electrical security, and other aspects.… More >