Real-time virtual sonography visualization and its clinical application in biliopancreatic disease

AIM:To evaluate the usefulness of real-time virtual sonography(RVS)in biliary and pancreatic diseases.METHODS:This study included 15 patients with biliary and pancreatic diseases.RVS can be used to observe an ultrasound image in real time by merging the ultrasound image with a multiplanar reconstruction computed tomography(CT)image,using pre-scanned CT volume data.The ultrasound used was EUB-8500with a convex probe EUP-C514.The RVS images were evaluated based on 3 levels,namely,excellent,good and poor,by the displacement in position.RESULTS:By combining the objectivity of CT with free scanning using RVS,it was possible to easily interpret the relationship between lesions and the surrounding organs as well as the position of vascular structures.The resulting evaluation levels of the RVS images were12 excellent(pancreatic cancer,bile duct cancer,cholecystolithiasis and cholangiocellular carcinoma)and 3 good(pancreatic cancer and gallbladder cancer).Compared with conventional B-mode ultrasonography and CT,RVS images achieved a rate of 80%superior visualization and 20%better visualization.CONCLUSION:RVS has potential usefulness in objective visualization and diagnosis in the field of biliary and pancreatic diseases.

Optimizing Real-Time Performance of 3D Virtual Mining Environment with MultiGen Creator

System optimization plays a crucial role in developing VR system after 3D modeling, affecting the system's Immersion and Interaction performance enormously. In this article, several key techniques of optimizing a virtual mining system were discussed: optimizing 3D models to keep the polygon number in VR system within target hardware's processing ability; optimizing texture database to save texture memory with perfect visual effect; optimizing database hierarchy structure to accelerate model retrieval; and optimizing LOD hierarchy structure to speed up rendering.

A State-of-the-Art Survey on Real-Time Issues in Embedded Systems Virtualization

Virtualization has gained great acceptance in the server and cloud computing arena. In recent years, it has also been widely applied to real-time embedded systems with stringent timing constraints. We present a comprehensive survey on real-time issues in virtualization for embedded systems, covering popular virtualization systems including KVM, Xen, L4 and others.

Virtual Huanghe River System:Framework and Technology

Virtual Reality provides a new approach for geographical research. In this paper, a framework of the Virtual Huanghe （Yellow） River System was first presented from the view of technology, which included five main modules——data sources, 3D simulation terrain database, 3D simulation model database, 3D simulation implementation and application system. Then the key technoiogies of constructing Virtual Huanghe River System were discussed in detail： 1） OpenGL technology, the 3D graphics developing instrument, was employed in Virtual Huanghe River System to realize the function of dynamic real-time navigation. 2） MO and OpenGL technologies were used to make the mutual response between 3D scene and 2D electronic map available, which made use of the advantages of both 3D scene and 2D electronic map, with the macroscopic view, integrality and conciseness of 2D electronic map combined with the locality, reality and visualization of 3D scene. At the same time the disadvantages of abstract and ambiguity of 2D electronic map and the direction losing of virtual navigation in 3D scene were overcome.

Real-Time Multi-Class Infection Classification for Respiratory Diseases

Real-time disease prediction has emerged as the main focus of study in the field of computerized medicine.Intelligent disease identification framework can assist medical practitioners in diagnosing disease in a way that is reliable,consistent,and timely,successfully lowering mortality rates,particularly during endemics and pandemics.To prevent this pandemic’s rapid and widespread,it is vital to quickly identify,confine,and treat affected individuals.The need for auxiliary computer-aided diagnostic(CAD)systems has grown.Numerous recent studies have indicated that radiological pictures contained critical information regarding the COVID-19 virus.Utilizing advanced convolutional neural network(CNN)architectures in conjunction with radiological imaging makes it possible to provide rapid,accurate,and extremely useful susceptible classifications.This research work proposes a methodology for real-time detection of COVID-19 infections caused by the Corona Virus.The purpose of this study is to offer a two-way COVID-19(2WCD)diagnosis prediction deep learning system that is built on Transfer Learning Methodologies(TLM)and features customized fine-tuning on top of fully connected layered pre-trained CNN architectures.2WCD has applied modifications to pre-trained models for better performance.It is designed and implemented to improve the generalization ability of the classifier for binary and multi-class models.Along with the ability to differentiate COVID-19 and No-Patient in the binary class model and COVID-19,No-Patient,and Pneumonia in the multi-class model,our framework is augmented with a critical add-on for visually demonstrating infection in any tested radiological image by highlighting the affected region in the patient’s lung in a recognizable color pattern.The proposed system is shown to be extremely robust and reliable for real-time COVID-19 diagnostic prediction.It can also be used to forecast other lung-related disorders.As the system can assist medical practitioners in diagnosing the greatest number of patients in the shortestamount of time, radiologists can also be used or published online to assistany less-experienced individual in obtaining an accurate immediate screeningfor their radiological images.

A survey of real-time rendering on Web3D application

Background In recent years, with the rapid development of mobile Internet and Web3D technologies, a large number of web-based online 3D visualization applications have emerged. Web3D applications, including Web3D online tourism, Web3D online architecture, Web3D online education environment, Web3D online medical care, and Web3D online shopping are examples of these applications that leverage 3D rendering on the web. These applications have pushed the boundaries of traditional web applications that use text, sound, image, video, and 2D animation as their main communication media, and resorted to 3D virtual scenes as the main interaction object, enabling a user experience that delivers a strong sense of immersion. This paper approached the emerging Web3D applications that generate stronger impacts on people's lives through “real-time rendering technology”, which is the core technology of Web3D. This paper discusses all the major 3D graphics APIs of Web3D and the well-known Web3D engines at home and abroad and classify the real-time rendering frameworks of Web3D applications into different categories. Results Finally, this study analyzed the specific demand posed by different fields to Web3D applications by referring to the representative Web3D applications in each particular field. Conclusions Our survey results show that Web3D applications based on real-time rendering have in-depth sectors of society and even family, which is a trend that has influence on every line of industry.

Influences of Network Delay on Quality of Experience for Soft Objects in Networked Real-Time Game with Haptic Sense

In this paper, we investigate the influences of network delay on QoE (Quality of Experience) such as the operability of haptic interface device and the fairness between players for soft objects in a networked real-time game subjectively and objectively. We handle a networked balloon bursting game in which two players burst balloons (i.e., soft objects) in a 3D virtual space by using haptic interface devices, and the players compete for the number of burst balloons. As a result, we find that the operability depends on the network delay from the local terminal to the other terminal, and the fairness is mainly dependent on the difference in network delay between the players’ terminals. We confirm that there exists a trade-off relationship between the operability and the fairness. We also see that the contribution of the fairness is larger than that of the operability to the comprehensive quality (i.e., the weighted sum of the operability and fairness). Assessment results further show that the output timing of terminals should be adjusted to the terminal which has the latest output timing to maintain the fairness when the difference in network delay between the terminals is large. In this way, the comprehensive quality at each terminal can be maintained as high as possible.

Revolutionizing Healthcare—The Integration of Virtual Worlds, AR, and Metaverse Technology

This paper explores the transformative impact of virtual worlds, augmented reality (AR), and the metaverse in the healthcare sector. It delves into the ways these technologies are reshaping patient care, medical education, and research, while also addressing the challenges and opportunities they present. The paper highlights the potential benefits of these technologies and emphasizes the need for comprehensive regulatory frameworks and ethical guidelines to ensure responsible integration. Finally it outlines their transformative impact and discusses the challenges and opportunities they present for the future of healthcare provision.

基于W3C标准语言的动态语音Virtual Agent

W3C多形式交互框架为语音交互和多形式的应用提供了开发语言标准,为娱乐、教育和商业领域提供了新的应用平台.介绍了W3C标准语言以及W3C多形式框架,阐述了动态语音Virtual Agent的概念,并形象地说明了在W3C多形式框架下建构的不可视和可视化Virtual Agent两个范例.

A study of novel real-time power balance strategy with virtual asynchronous machine control for regional integrated electric-thermal energy systems

The development of regional integrated electric-thermal energy systems(RIETES) is considered a promising direction for modern energy supply systems. These systems provide a significant potential to enhance the comprehensive utilization and efficient management of energy resources. Therein, the real-time power balance between supply and demand has emerged as one pressing concern for system stability operation. However, current methods focus more on minute-level and hour-level power optimal scheduling methods applied in RIETES. To achieve real-time power balance, this paper proposes one virtual asynchronous machine(VAM) control using heat with large inertia and electricity with fast response speed. First, the coupling timescale model is developed that considers the dynamic response time scales of both electric and thermal energy systems. Second, a real-time power balance strategy based on VAM control can be adopted to the load power variation and enhance the dynamic frequency response. Then, an adaptive inertia control method based on temperature variation is proposed, and the unified expression is further established. In addition, the small-signal stability of the proposed control strategy is validated. Finally, the effectiveness of this control strategy is confirmed through MATLAB/Simulink and HIL(Hardware-in-the-Loop) experiments.

A Novel Depression Rehabilitation Game Framework Using VR Based on Neurofeedback

At present,depression is treated with antidepressant drugs and assisted with psychotherapy and physical therapy,and these expensive and time-consuming treatment methods often end prematurely and result in a prolonged course w ithout effective symptom relief. Therefore,based on the neurofeedback therapy,a novel depression rehabilitation method using a Virtual-Reality(VR) game framew ork is proposed. In this VR game framew ork,an innovative threeelectrode Electroencephalography(EEG) collector is used to record patients' EEG data. The data are processed and converted into feedback features,and the feedback w ill be displayed to patients in real time through a VR headset. Patients can adjust their psychological activity based on the feedback,and relieve their physiological dysfunction effectively. The framew ork also provides a data storage module,w hich may offer therapists w ays to assess patients' rehabilitation results in a long term,as w ell as provide possibility to continue tow ards better algorithm of feedback features w ith data-mining.The prototype system is tested in the framew ork,and the experimental results prove the effectiveness of the framew ork in depression rehabilitation.

Virtualization Security, Strategy and Management

The purpose of this quantitative study was to determine the relationship between the security management framework of organizations and the security condition of the virtualized environment.

Modelling Conceptual Framework for Private Cloud Infrastructure Deployment in the ICT Centre of Tertiary Institutions

This research work aims at modelling a framework for Private Cloud infrastructure Deployment for Information and Communication Technology Centres (ICTs) in tertiary institutions in Nigeria. Recent researches have indicated that cloud computing will become the mainstream in computing technology and very effective for businesses. All Tertiary Institutions have ICT units, and are generally charged with the responsibilities of deploying ICT infrastructure and services for administration, teaching, research and learning in higher institution at large. The Structured System Analysis and Design Methodology (SSADM) is used in this research and a six-step framework for a cost effective and scalable Private cloud infrastructure using server virtualization is presented as an alternative that can guarantee total and independent control of data flow in the institutions, while ensuring adequate security of vital information.

A dynamic and resource sharing virtual network mapping algorithm

Network virtualization can effectively establish dedicated virtual networks to implement various network functions.However,the existing research works have some shortcomings,for example,although computing resource properties of individual nodes are considered,node storage properties and the network topology properties are usually ignored in Virtual Network(VN)modelling,which leads to the inaccurate measurement of node availability and priority.In addition,most static virtual network mapping methods allocate fixed resources to users during the entire life cycle,and the users’actual resource requirements vary with the workload,which results in resource allocation redundancy.Based on the above analysis,in this paper,we propose a dynamic resource sharing virtual network mapping algorithm named NMA-PRS-VNE,first,we construct a new,more realistic network framework in which the properties of nodes include computing resources,storage resources and topology properties.In the node mapping process,three properties of the node are used to measure its mapping ability.Second,we consider the resources of adjacent nodes and links instead of the traditional method of measuring the availability and priority of nodes by considering only the resource properties,so as to more accurately select the physical mapping nodes that meet the constraints and conditions and improve the success rate of subsequent link mapping.Finally,we divide the resource requirements of Virtual Network Requests(VNRs)into basic subrequirements and variable sub-variable requirements to complete dynamic resource allocation.The former represents monopolizing resource requirements by the VNRs,while the latter represents shared resources by many VNRs with the probability of occupying resources,where we keep a balance between resource sharing and collision among users by calculating the collision probability.Simulation results show that the proposed NMAPRS-VNE can increase the average acceptance rate and network revenue by 15%and 38%,and reduce the network cost and link pressure by 25%and 17%.

“进步”还是“内耗”:基于语言框架的数字化寻求反馈行为对创造力的影响机理

数字化办公的持续发展使得员工寻求反馈的渠道受限,囿于数字孤岛的员工难以采用传统沟通渠道中“看”与“问”相结合的寻求形式获取反馈,从而间接削弱寻求反馈对创造力的影响。此时,员工缺失临场感带来的“生动”辅助线索,更依赖“理性”文本表达获取反馈从而实现自我调整。运用扎根理论和调节焦点理论挖掘数字化寻求反馈中语言框架的构念特点并重构量表,进一步基于解释水平理论,从“促进进步”还是“引发内耗”问题出发,研究数字化寻求反馈的语言框架对创造力的影响机理。研究发现:①基于促进式和防御式语言框架的寻求反馈正向影响创造力,工作反刍在其中发挥中介作用;②虚拟临场感负向调节基于促进式和防御式语言框架的寻求反馈与工作反刍间的关系;③主管设定的沟通期望和虚拟临场感交互项会强化基于促进式和防御式语言框架的寻求反馈与工作反刍间的关系。研究结论不仅从语言框架视角拓展寻求反馈的内容构念及其对创造力的影响机理,还揭示了匹配“类传统”与“远程”工作情境的最佳数字化获取反馈的语言框架。

浅谈医学检验虚拟仿真实践教学平台模块的构建

通过对当前医学检验虚拟仿真实践教学平台建设及应用情况调研,找出存在的问题,从医学检验虚拟仿真实践教学平台的建设原则及思路、平台系统设计和运行方式、实训项目的内容设计、平台模块设计等方面,阐述如何构建符合专业教学和行业需求的综合性实践项目平台构架模块,解决目前存在的问题,促进医学检验虚拟仿真实践教学平台建设的发展。

虚拟科学探究学习:内涵、价值与实施框架

虚拟科学探究学习作为一种虚拟实验环境与科学探究活动有效融合的新型学习形式,在培养学习者科学素养方面具有重要作用。但目前缺乏对虚拟科学探究学习的概念、价值和实施方式等问题的深入探索和准确认识,这阻碍了其在实践中的有效应用和价值发挥。虚拟科学探究学习的本质是以学习者的自主探究实践为中心,通过创设虚实融合的学习环境,设计探究性的学习活动,提供适应性的过程支持等,促进学习者的科学观察具象化、探究过程有序性、知识获取整合性和能力发展迁移性。设计虚拟科学探究学习活动,应坚持以探究式教学理念为引领、以交互式学习环境为支撑、以过程性学习评价为助力、以智能化学习干预为保障的设计原则,构建以数智技术为底座,融合环境、活动和过程要素,支持学习者开展虚拟环境下交互式科学探究活动的实施框架,实现科学核心素养的培养目标。未来研究应在强基固本、育人为先、精准赋能和人机协同等方面加强理论和实践探索,为我国高质量虚拟科学探究学习的有效开展提供有益参考。

虚拟数字人赋能网络药店应用框架初探

目的:探讨解决传统网络药店药学服务提供不到位、药店难以掌握消费者真实需求、平台品牌传播力有限等诸多问题的措施。方法:建立基于虚拟数字人的网络药店应用系统框架,对传统网络药店进行升级改造。结果:示范应用表明,虚拟数字人明显提升了消费者对网络药店平台的忠诚度,使消费者懂得更多合理科学用药的知识,平台好评和销售额显著增长。结论:虚拟数字人是元宇宙时代网络药店发展的必然方向,虚拟数字人为网络药店服务的高质量发展提供了一种新的方案。

虚拟电厂规模化灵活资源聚合调控框架研究与思考

在“云边协同+物联网”的背景下,为给虚拟电厂动态性能量化分析评估提供全面的资源结构基础和系统化的调控框架,在对现有和潜在虚拟电厂规模化灵活资源进行调研梳理和系统分析基础上,结合资源电网接入体系和电网可控性进行研究,形成了融合3类路径、适应多场景多情形的系统化虚拟电厂规模化灵活资源聚合调控框架。同时,依据该框架提出云边协同+物联网的虚拟电厂动态性能量化分析评估系统架构研究参考原则,探讨了虚拟电厂相关机制体制研究方向。