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SQLite Encryption Method for Embedded Databases Based on Chaos Algorithm 基于混沌算法的嵌入式数据库SQLite加密方法
Pub Date : 2023-02-17 DOI: 10.1155/2023/5187602
Junlong Shi
With the widespread use of embedded systems, chaos is a nonlinear system with certainty and complexity. It is an important topic in the field of information security at present, and it is an effective way to apply to embedded systems. It has great practical value in theory and in practice. This research mainly focuses on the encryption technology of SQLite embedded database and proposes an improved sparrow algorithm (Logistic Chaos Sparrow Search Algorithm, LCSSA) based on Logistic Chaos Map. It shows that the security level of SQLite in web development is higher than that of conventional Access. The population is initialized by the logistic chaotic mapping method, which improves the quality of the initial solution, increases the diversity of the population, and reduces the risk of premature maturity of the algorithm. The initial value y 0 determines the encryption method of the nonlinear function. Taking the integer variable (int) as an example, the value range is -231~231. It can be seen that the key space is sufficient to prevent various conventional attacks. When the key is the wrong key, decryption will not yield any data. It can be found that encryption and decryption are very sensitive to the key, which is also determined by the sensitivity of chaotic encryption system to the initial value. The benchmark function compares the performance of the improved algorithm with the algorithm before the improvement and compares it with the SSA. The LCSSA has better convergence performance, higher accuracy, and better stability.
随着嵌入式系统的广泛应用,混沌是一种具有确定性和复杂性的非线性系统。它是当前信息安全领域的一个重要课题,是应用于嵌入式系统的有效途径。它在理论和实践上都有很大的实用价值。本研究主要针对SQLite嵌入式数据库的加密技术,提出了一种基于Logistic混沌映射的改进麻雀算法(Logistic Chaos sparrow Search algorithm, LCSSA)。这表明SQLite在web开发中的安全级别比传统的Access要高。采用logistic混沌映射方法对种群进行初始化,提高了初始解的质量,增加了种群的多样性,降低了算法过早成熟的风险。初始值y0决定了非线性函数的加密方式。以整型变量int为例,取值范围为-231~231。由此可见,该密钥空间足以抵御各种常规攻击。当密钥是错误的密钥时,解密将不会产生任何数据。可以发现,加密和解密对密钥非常敏感,这也是混沌加密系统对初始值的敏感性所决定的。基准函数将改进算法的性能与改进前的算法进行比较,并与SSA进行比较。LCSSA具有更好的收敛性能、更高的精度和更好的稳定性。
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引用次数: 0
Lip Print Recognition Algorithm Based on Convolutional Network 基于卷积网络的唇印识别算法
Pub Date : 2023-02-10 DOI: 10.1155/2023/4448861
Hongcheng Zhou
Identity information security is faced with various challenges, and the traditional identification technology cannot meet the needs of public security. Therefore, it is necessary to further explore and study new identification technologies. In order to solve the complex image preprocessing problems, difficult feature extraction by artificial design algorithm, and low accuracy of lip print recognition, a method based on the convolutional neural network is proposed, by building a convolutional neural network called LPRNet (Lip Print Recognition Network). The obtained lip print image is inputted into the training recognition model of the network to simplify the lip print image preprocessing. By extracting feature information and sampling operation, the model training parameters are reduced, which overcomes the difficulty of designing a complex algorithm to extract features. By analyzing and comparing the experimental results, a higher recognition rate is obtained, and the validity of the method is verified.
身份信息安全面临着各种挑战,传统的身份识别技术已不能满足公共安全的需求。因此,有必要进一步探索和研究新的识别技术。针对唇印识别中图像预处理复杂、人工设计算法特征提取困难、准确率低等问题,提出了一种基于卷积神经网络的唇印识别方法,通过构建卷积神经网络LPRNet (lip print recognition network)。将得到的唇印图像输入到网络的训练识别模型中,简化唇印图像的预处理。通过特征信息提取和采样操作,减少了模型训练参数,克服了设计复杂特征提取算法的困难。通过对实验结果的分析和比较,获得了较高的识别率,验证了该方法的有效性。
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引用次数: 0
The Dynamics of a Delayed Ecoepidemiological Model with Nonlinear Incidence Rate 具有非线性发病率的延迟生态流行病学模型的动力学
Pub Date : 2023-02-10 DOI: 10.1155/2023/1366763
R. M. Hussien, R. K. Naji
In this paper, the general framework for calculating the stability of equilibria, Hopf bifurcation of a delayed prey-predator system with an SI type of disease in the prey population, is investigated. The impact of the incubation period delay on disease transmission utilizing a nonlinear incidence rate was taken into account. For the purpose of explaining the predation process, a modified Holling type II functional response was used. First, the existence, uniform boundedness, and positivity of the solutions of the considered model system, along with the behavior of equilibria and the existence of Hopf bifurcation, are studied. The critical values of the delay parameter for which stability switches and the nature of the Hopf bifurcation by using normal form theory and center manifold theorem are identified. Additionally, using numerical simulations and a hypothetical dataset, various dynamic characteristics are discovered, including stability switches, chaos, and Hopf bifurcation scenarios.
本文研究了一类猎物种群中存在SI型疾病的时滞捕食系统的Hopf分岔平衡稳定性的一般计算框架。利用非线性发病率考虑了潜伏期延迟对疾病传播的影响。为了解释捕食过程,使用了改进的Holling II型功能响应。首先,研究了所考虑的模型系统解的存在性、一致有界性和正性,以及平衡点的行为和Hopf分岔的存在性。利用范式理论和中心流形定理,确定了系统稳定性切换的时滞参数的临界值和Hopf分岔的性质。此外,使用数值模拟和假设数据集,发现了各种动态特性,包括稳定性开关,混沌和Hopf分岔场景。
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引用次数: 2
Mathematical Model for Crimes in Developing Countries with Some Control Strategies 发展中国家犯罪的数学模型及其控制策略
Pub Date : 2023-02-07 DOI: 10.1155/2023/8699882
Bilali Mataru, O. J. Abonyo, D. Malonza
Crime is one among the most challenging problems in most developing countries in which unemployment is among the causes. Not all kind of crimes can be eradicated indeed; this paper is intended to contribute on eradication of unemployment-related crimes in the developing countries by proposing a deterministic mathematical model of unemployment-crime dynamics including vocational training and employment as control measures for crime. The study adopts the epidemiological model concepts on model formulation and model analysis while considering unemployment as main driver of crime. The basic properties of the model are analyzed, and well-posed of the model is established by using the Lipschitz condition. The next-generation matrix is used to obtain the criminal reproduction number which help to derive the conditions for local and global stability of the model. Moreover, the existence of backward and forward bifurcation when the crime reproduction number is equal to one was analyzed by center manifold theory. Simulations of the model are carried out to validate the theoretical part of the model and demonstrate vocational training, and employment strategies are more effective in combating crime when applied simultaneously. The findings suggest that unemployment problem should be addressed in order to reduce the number of unemployed individuals in joining the criminal activities.
在大多数发展中国家,犯罪是最具挑战性的问题之一,失业是其原因之一。并不是所有的犯罪都能被根除;本文旨在通过提出失业-犯罪动态的确定性数学模型,包括作为犯罪控制措施的职业培训和就业,为消除发展中国家与失业有关的犯罪作出贡献。本研究在模型制定和模型分析上采用流行病学模型的概念,同时考虑失业是犯罪的主要驱动因素。分析了模型的基本性质,利用Lipschitz条件建立了模型的适定性。利用新一代矩阵得到犯罪再现数,从而得到模型局部稳定和全局稳定的条件。此外,利用中心流形理论分析了当犯罪再生产数等于1时,是否存在向后和正向分叉。对模型进行了仿真,以验证模型的理论部分,并证明职业培训和就业策略在同时应用时更有效地打击犯罪。调查结果表明,应解决失业问题,以减少失业人员参加犯罪活动的人数。
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引用次数: 2
Predicting COVID-19 Pandemic Endpoint in Some Sub-Saharan African and European Countries 预测一些撒哈拉以南非洲和欧洲国家的COVID-19大流行终点
Pub Date : 2023-01-24 DOI: 10.1155/2023/7882843
Saviour Worlanyo Akuamoah, John Coker Ayimah, D. Yaro, Elikem Kofi Krampa, Awura Amma Adomaa Danso
In this study, a novel modified SIR model is presented with two control measures to predict the endpoint of COVID-19, in top three sub-Saharan African countries (South Africa, Ethiopia, and Kenya) including Ghana and top four European countries (France, Germany, UK, and Italy). The reproduction number’s sensitivity indices with regard to the model parameters were explicitly derived and then numerically evaluated. Numerical simulations of the suggested optimal control schemes in general showed a continuous result of decline at different anticipated extinction timelines. Another interesting observation was that in the simulation of sub-Saharan African dynamics, it was observed that the use of personal protective equipment was more effective than the use of vaccination, whereas in Europe, the use of vaccination was more effective than personal protective equipment. From the simulations, the conclusion is that COVID-19 will end before the 3rd year in Ghana, before the 6th year in Kenya, and before the 9th year in both Ethiopia and South Africa.
在这项研究中,提出了一种新的改进SIR模型,其中包括两种控制措施,用于预测包括加纳在内的撒哈拉以南非洲前三大国家(南非、埃塞俄比亚和肯尼亚)和欧洲前四大国家(法国、德国、英国和意大利)的COVID-19终点。明确推导了模型参数对再现数的敏感性指标,并对其进行了数值计算。数值模拟表明,在不同的预期灭绝时间线上,所提出的最优控制方案的总体下降结果是连续的。另一个有趣的观察结果是,在对撒哈拉以南非洲动态的模拟中,人们观察到,使用个人防护装备比使用疫苗更有效,而在欧洲,使用疫苗比使用个人防护装备更有效。从模拟得出的结论是,COVID-19将在加纳的第3年之前结束,在肯尼亚的第6年之前结束,在埃塞俄比亚和南非的第9年之前结束。
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引用次数: 0
Improvements of Logarithmic and Identric Mean Inequalities for Scalars and Operators 对标量和算子的对数和同等均值不等式的改进
Pub Date : 2023-01-19 DOI: 10.1155/2023/5195233
Aliaa Burqan, Abeer Abu-Snainah, Rania Saadeh
In this article, we provide refined inequalities for a convex Riemann’s integrable function using refinements of the classical Hermite-Hadamard inequality. The obtained results are applied on special functions to establish new improvements of inequalities on the weighted logarithmic mean and weighted identric mean. Moreover, corresponding operator inequalities are introduced based on the scalar inequalities and the monotonicity property for operators.
在本文中,我们利用经典Hermite-Hadamard不等式的改进,给出了凸黎曼可积函数的改进不等式。将所得结果应用于特殊函数,建立了加权对数均值和加权等均值不等式的新改进。此外,根据标量不等式和算子的单调性,引入了相应的算子不等式。
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引用次数: 1
On a Solution of a Third Kind Mixed Integro-Differential Equation with Singular Kernel Using Orthogonal Polynomial Method 第三类奇异核混合积分-微分方程的正交多项式解法
Pub Date : 2023-01-12 DOI: 10.1155/2023/5163398
Ahmad Alalyani, M. A. Abdou, M. Basseem
This paper deals with the solution of a third kind mixed integro-differential equation (MIDE) in displacement type in space L 2 − 1 , 1 × C 0 , T , T < 1 . The singular kernel is modified to take a logarithmic form, while the kernels of time are continuous and positive functions. Using the separation of variables technique, we have a system of Fredholm integral equations (FIEs) that can be transformed into an algebraic system after using orthogonal polynomials. In all the previous researchers’ works, the time periods were divided, and the mixed equation transformed into an algebraic system of FIEs. While when using the separation method, we are able to obtain FIE with time coefficients, and these functions are described as an integral operator in time. Thus, we can study the behavior of the solution with the time dimension in a broader and deeper than the previous one. Some examples are given and discussed to show the performance and efficiency of the proposed methods.
本文研究了空间l2−1,1 × c0, T, T < 1中位移型第三类混合积分-微分方程的解。将奇异核修改为对数形式,而时间核是连续的正函数。利用分离变量技术,我们得到了一个Fredholm积分方程系统,该系统可以在使用正交多项式后转化为代数系统。在前人的研究中,均对时间周期进行了划分,将混合方程转化为FIEs的代数系统。而当采用分离方法时,我们可以得到带时间系数的FIE,这些函数被描述为时间上的积分算子。因此,我们可以在比以前更广泛和更深的范围内研究解随时间维度的行为。最后给出了一些算例,说明了所提方法的性能和有效性。
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引用次数: 2
Modelling the Impact of Human Population and Its Associated Pressure on Forest Biomass and Forest-Dependent Wildlife Population 模拟人口及其相关压力对森林生物量和依赖森林的野生动物种群的影响
Pub Date : 2023-01-12 DOI: 10.1155/2023/4826313
Ibrahim M. Fanuel, Damian Kajunguri, F. Moyo
Mathematical models have been widely used to explain the system originating from human-nature interaction, investigate the impacts of various components, and forecast system behaviour. This paper provides a profound reference to the current state of the art regarding the application of mathematical models to study the impact of human population and population pressure on forest biomass and forest-dependent wildlife. The review focused on two aspects, namely, model formulation and model analysis. In model formulation, the review revealed that socioeconomic status influences forest resource consumption patterns, thus, stratification of the human population based on economic status is a critical phenomenon in modelling human-nature interactions; however, this component has not been featured in the reviewed models. Regarding model analysis, in most of the reviewed work, single parameter approach was utilized to perform uncertainty quantification of the model parameter; this approach has been proven to be inadequate in measuring the uncertainty and sensitivity of the parameter. Thus, the use of correlation or variance based methods, which are multidimensional parameter space methods are of significant importance. Generally, despite the limitations of many assumptions in mathematical modelling, it is revealed that mathematical models demonstrate the ability to handle complex systems originating from interactions between humans and nature.
数学模型已被广泛用于解释源于人与自然相互作用的系统,研究各组成部分的影响,并预测系统行为。本文对利用数学模型研究人口和人口压力对森林生物量和依赖森林的野生动物的影响的现状提供了深刻的借鉴。本文主要从模型制定和模型分析两个方面进行综述。在模型制定方面,综述表明,社会经济地位影响森林资源消费模式,因此,基于经济地位的人口分层是模拟人与自然相互作用的关键现象;然而,这个组件并没有在审查的模型中出现。在模型分析方面,在大多数综述工作中,采用单参数方法对模型参数进行不确定性量化;这种方法已被证明在测量参数的不确定度和灵敏度方面是不够的。因此,使用基于相关或方差的多维参数空间方法具有重要意义。一般来说,尽管数学建模中的许多假设存在局限性,但数学模型显示出处理源自人与自然相互作用的复杂系统的能力。
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引用次数: 3
Data Fusion and Processing Technology of Wireless Sensor Network for Privacy Protection 面向隐私保护的无线传感器网络数据融合与处理技术
Pub Date : 2023-01-01 DOI: 10.1155/2023/1046050
Lusheng Shi, K. Li, Huibo Zhu
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引用次数: 0
Average-Based Fuzzy Time Series Markov Chain Based on Frequency Density Partitioning 基于频率密度划分的平均模糊时间序列马尔可夫链
Pub Date : 2023-01-01 DOI: 10.1155/2023/9319883
S. Hariyanto, Y. D. Sumanto, S. Khabibah, Zaenurrohman
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引用次数: 0
期刊
J. Appl. Math.
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