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A Novel Hybrid Mechanism for Generation of Pseudo-random Sequences for Data Protection Purposes 一种基于数据保护的伪随机序列生成混合机制
Pub Date : 2023-01-24 DOI: 10.46300/9108.2023.17.1
Manuel José Maldonado, José Luciano Maldonado
In this paper, a mechanism for the generation of pseudo-random numbers with a very high level of randomness is proposed. The design of this mechanism is based on geometric structures simulated by software, specifically rotating cylinders that are activated, also, with random inputs produced by means of events of the electronic system on which it operates. Due to the random quality, its outputs can be used to implement robust systems for data protection.
本文提出了一种生成具有很高随机性的伪随机数的机制。该机构的设计基于软件模拟的几何结构,特别是激活的旋转圆柱体,也可以通过其操作的电子系统事件产生随机输入。由于其随机性,其输出可用于实现数据保护的鲁棒系统。
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引用次数: 0
Human Emotion Identification from Speech using Neural Network 基于神经网络的语音情感识别
Pub Date : 2022-11-10 DOI: 10.46300/9108.2022.16.15
Bhoomi Rajdeep, H. Patel, S. Iyer
Detection of mood and behavior by voice analysis which helps to detect the speaker’s mood by the voice frequency. Here, I aim to present the mood like happy, and sad and behavior detection devices using machine learning and artificial intelligence which can be detected by voice analysis. Using this device, it detects the user’s mood. Moreover, this device detects the frequency by trained model and algorithm. The algorithm is well trained to catch the frequency where it helps to identify the mood happy or sad of the speaker and behavior. On the other hand, behavior can be predicted in form, it can be either positive or negative. So, this device helps to prevent mental health issues and is used in medical and gaming testing. Furthermore, it is easy to identify a person’s mood by their expression and by their actions in daily activities. But it is effective and challenging to detect mood and behavior by voice frequency because a rich environment affects the most. Thus, this device works as a signal processing.
通过声音分析来检测说话人的情绪和行为,通过声音频率来检测说话人的情绪。在这里,我的目标是用机器学习和人工智能来呈现快乐、悲伤等情绪和行为检测设备,这些设备可以通过语音分析来检测。使用这个设备,它可以检测用户的情绪。此外,该装置通过训练好的模型和算法进行频率检测。该算法经过良好的训练,可以捕捉频率,从而帮助识别说话者的情绪和行为是高兴还是悲伤。另一方面,行为可以通过形式来预测,它可以是积极的也可以是消极的。因此,这个设备有助于预防心理健康问题,并用于医疗和游戏测试。此外,通过一个人在日常活动中的表情和行为,很容易判断出他的情绪。但是,通过声音频率来检测情绪和行为是有效的,也是具有挑战性的,因为丰富的环境影响最大。因此,该装置作为信号处理。
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引用次数: 0
Enhancing IoT Communication using African Buffalo Delay Tolerant and Risk Packet Jump Approach 使用非洲水牛延迟容忍和风险数据包跳转方法增强物联网通信
Pub Date : 2022-06-28 DOI: 10.46300/9108.2022.16.14
Shridhar Sanshi, D. P. Krishna, Ramesh Vatambeti
The Internet of Things (IoT) is utilized in many sectors for different purpose. However, sharing the huge data to the far distance is a difficult task because of signal loss and malicious events. So, the Delay Tolerant Network (DTN) is introduced in the communication field to transfer the data to far distance. But, the DTN is vulnerable to attack because of the selfish nodes and data traffic. To overcome this problem the current research has designed a novel African Buffalo DTN with Risk Packet Jump (ABDTN-RPJ) mechanism to improve the communication channel by predicting the selfish and misbehavior node in an earlier stage. Finally, the designed paradigm is implemented in the Network simulator and the comparison results have been proved the efficiency of the proposed model by reducing the delay and drop rate.
物联网(IoT)在许多领域被用于不同的目的。然而,由于信号丢失和恶意事件的存在,将海量数据传输到远距离是一项艰巨的任务。因此,在通信领域引入了容延迟网络(DTN)来实现数据的远距离传输。但是,由于节点的自私和数据流量的限制,DTN容易受到攻击。为了克服这一问题,本研究设计了一种新的非洲水牛DTN风险包跳机制(ABDTN-RPJ),通过预测早期的自私和不当行为节点来改善通信通道。最后,将所设计的模型在网络模拟器中进行了实现,对比结果证明了该模型在降低时延和丢包率方面的有效性。
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引用次数: 0
Population Pharmacokinetics/PD Modelling: a Systematic Review 群体药代动力学/PD模型:系统综述
Pub Date : 2022-05-16 DOI: 10.46300/9108.2022.16.13
Mary Hexy, S. Jose
It is critical to administer the correct dose of medications during the treatment regimen. Dosing inappropriately might worsen the illness or possibly result in death. The first and only important approach in clinical drug development is to determine an individual's precise dose. Pharmacokinetic variability is characterized by interindividual changes in anatomical and physiological variables. Population modeling requires a strong foundation of processes to ensure accurate data, appropriate computational platforms, sufficient resources, and good communication are all required. This paper examines the various methods for developing pharmacokinetic and pharmacodynamic models. There are a variety of ways that can be used to build population modelling: Nonlinear Mixed-effects Modeling, Bayesian population pharmacokinetic (PBPK) models, Physiological covariate modeling, Visual predictive check are some of the modeling strategies that have been discussed here. The evolution of modeling software is explored in this article. The greatest way for determining the optimal treatment for a patient with a certain ailment is to optimize drugs through optimum control. Different control techniques are also explored in this article.
在治疗方案中给予正确剂量的药物是至关重要的。剂量不当可能会加重病情,甚至可能导致死亡。临床药物开发的第一个也是唯一重要的方法是确定个体的精确剂量。药代动力学变异性以解剖和生理变量的个体间变化为特征。人口建模需要强大的流程基础来确保准确的数据、适当的计算平台、足够的资源和良好的通信都是必需的。本文探讨了开发药代动力学和药效学模型的各种方法。有多种方法可以用来建立种群模型:非线性混合效应模型,贝叶斯种群药代动力学(PBPK)模型,生理协变量模型,视觉预测检查是这里讨论的一些建模策略。本文探讨了建模软件的发展。确定某种疾病患者的最佳治疗方法的最佳方法是通过最佳控制来优化药物。本文还探讨了不同的控制技术。
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引用次数: 0
Heterogeneous IoT platform in Network Architecture 网络架构中的异构物联网平台
Pub Date : 2022-05-16 DOI: 10.46300/9108.2022.16.12
T. Mshvidobadze
Heterogeneous Internet of Things (HetIoT) is an emerging research field that has strong potential to transform both our understanding of fundamental computer science principles and our future living. This paper proposes a four-layer HetIoT architecture consisting of sensing, networking, cloud computing, and applications. This paper also suggests several potential solutions to address the challenges facing future HetIoT, including data integration and processing in large-scale HetIoT
异构物联网(HetIoT)是一个新兴的研究领域,它有强大的潜力改变我们对基本计算机科学原理的理解和我们未来的生活。本文提出了一种由传感、网络、云计算和应用组成的四层HetIoT架构。本文还提出了应对未来HetIoT面临的挑战的几种潜在解决方案,包括大规模HetIoT中的数据集成和处理
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引用次数: 0
Analysis of the Web Sites Use as Learning Resources 网站作为学习资源的分析
Pub Date : 2022-03-04 DOI: 10.46300/9108.2022.16.7
Miloslava Kašparová, Martin Horčička, J. Krupka
This article deals with an analysis of the web sites use by the students for gaining the electronic study sources and discovering of associations in the data by selected algorithm. Association rules associate a particular conclusion with a set of conditions. The Generalized Rule Induction was applied. Models were designed in SPSS Clementine.
本文分析了学生获取电子学习资源和通过选定算法发现数据关联的网站。关联规则将特定结论与一组条件关联起来。应用了广义规则归纳法。模型在SPSS Clementine中设计。
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引用次数: 0
Innovation in Education: the Implementation of Selfdefense in the Curriculum 教育创新:在课程中实施自卫
Pub Date : 2022-03-04 DOI: 10.46300/9108.2022.16.1
Dora Lapkova, Jiří Svoboda
Daily reports show that crime does not avoid children or adolescents. There are two types of crimes: crimes against them and crimes committed by them. One of the important questions of these days is how to stop this state or minimize. The aim of this article is to show the possibility of reduction of violence against children and adolescents. One of the possible ways is the implementation of self-defense in the curriculum. In this article are also mentioned the most common ways of attacking, risk groups and the consequences for the victim.
每日报道显示,犯罪不会避开儿童和青少年。有两种类型的犯罪:针对他们的犯罪和由他们犯下的犯罪。这些天的一个重要问题是如何停止这种状态或最小化。本文的目的是表明减少对儿童和青少年的暴力行为的可能性。其中一种可能的方法是在课程中实施自卫。在这篇文章中也提到了最常见的攻击方式,风险群体和受害者的后果。
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引用次数: 1
Addressing the Feasibility of the Parameters of Strongly Regular Graphs with a MacLaurin Series Approach 用MacLaurin级数方法求解强正则图参数的可行性
Pub Date : 2022-03-04 DOI: 10.46300/9108.2022.16.10
Vasco Moço Mano, L. Vieira
In the environment of Euclidean Jordan algebras, we consider a Jordan frame associated to the adjacency matrix of a strongly regular graph and construct a MacLaurin series with an element of the frame. From this series we establish feasibility conditions for the existence of strongly regular graphs.
在欧氏约当代数的环境下,考虑与强正则图的邻接矩阵相关联的约当坐标系,并构造一个具有该坐标系中一个元素的MacLaurin级数。由此建立了强正则图存在的可行性条件。
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引用次数: 0
An Approach for the Experimental Research Studies in Engineering: (Investigation Curiosity Analysis Design) 工程实验研究的一种方法:(调查好奇分析设计)
Pub Date : 2022-03-04 DOI: 10.46300/9108.2022.16.8
M. O. Carpinlioglu
In this paper, an approach utilized for the experimental research studies in the content of the graduate program of mechanical engineering is outlined. Although a variety of study topics in the covered time period of 2012- 1997 is concerned it is proposed that the followed algorithm can be applied in different fields of engineering science. The performance of the algorithm is presented through the introduced parameters of research evaluation, REP, output of research, ORP and performance units, PU. Design of the research study is founded on survey of the related literature expressed by an investigation stage realized with curiosity and a critical analysis. The reflections of the approach can provide an innovative education methodology in engineering not only in graduate but also in undergraduate levels.
本文概述了机械工程专业研究生课程内容实验研究的方法。虽然涉及2012- 1997年期间的各种研究课题,但提出以下算法可以应用于工程科学的不同领域。通过引入研究评价、REP、研究产出、ORP和性能单元PU等参数,介绍了算法的性能。研究性学习的设计是建立在对相关文献的调查的基础上,通过好奇和批判性分析的调查阶段来表达。该方法的反思不仅可以为研究生和本科阶段的工程教育提供一种创新的教育方法。
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引用次数: 0
DESIRE:Disseminating Educational Science, Innovation and Research in Europe 愿望:在欧洲传播教育科学、创新和研究
Pub Date : 2022-03-04 DOI: 10.46300/9108.2022.16.3
Silvia Panzavolta
The paper illustrates the research activities carried out by the European DESIRE project dealing with dissemination strategies of European projects outcomes and results and takes into account specific stakeholders in the projects life cycle. Preliminary findings are given and commented and some recommendations are drawn based on data collected so far.
本文阐述了欧洲DESIRE项目开展的研究活动,该项目处理欧洲项目成果和结果的传播策略,并考虑到项目生命周期中的特定利益相关者。提出初步调查结果并加以评论,并根据迄今收集的数据提出了一些建议。
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引用次数: 0
期刊
International journal of computers in healthcare
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