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Existence and Stability Results for Fractional Volterra-Fredholm Integro-Dierential Equation with Mixed Conditions 混合条件下分数阶Volterra-Fredholm积分-微分方程的存在性和稳定性结果
Q4 Mathematics Pub Date : 2021-06-30 DOI: 10.37622/adsa/16.1.2021.217-236
I. Alasadi, Ahmed A. Hamoud
In this paper, we establish some new conditions for the existence and uniqueness of solutions for a class of nonlinear Caputo fractional Volterra-Fredholm integro-differential equations with mixed conditions. The desired results are proved by using Banach and Krasnoselskii’s fixed point theorems. In addition, the Ulam-Hyers stability and Ulam-Hyers-Rassias stability for solutions of the given problem are also discussed.
本文建立了一类具有混合条件的非线性Caputo分数阶Volterra-Fredholm积分微分方程解的存在唯一性的新条件。利用Banach和Krasnoselskii的不动点定理证明了期望的结果。此外,还讨论了该问题解的Ulam-Hyers稳定性和Ulam-Hyers- rassias稳定性。
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引用次数: 4
Some Definite Integral Involving Some Valuable Special Functions 涉及一些有价值的特殊函数的定积分
Q4 Mathematics Pub Date : 2021-06-30 DOI: 10.37622/adsa/16.1.2021.67-74
Vinti Anon, Salahuddin Anon
In this paper we have established some Definite Integral formulae involving Bessel function of the first kind, Hypergeometric function, Struve function and Sine function.
本文建立了涉及第一类贝塞尔函数、超几何函数、Struve函数和正弦函数的定积分公式。
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引用次数: 0
Bounds of the Mertens Functions Mertens函数的边界
Q4 Mathematics Pub Date : 2021-06-30 DOI: 10.37622/adsa/16.1.2021.35-44
Darrell Cox, Sourangshu Ghosh, E. Sultanow
In this paper we derive new properties of Mertens function and discuss about a likely upper bound of the absolute value of the Mertens function √log(x!) > |M(x)| when x > 1. Using this likely bound we show that we have a sufficient condition to prove the Riemann Hypothesis.
本文导出了Mertens函数的一些新性质,并讨论了当x > 1时,Mertens函数绝对值的可能上界√log(x!) > |M(x)|。利用这个似然界,我们证明了我们有一个证明黎曼假设的充分条件。
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引用次数: 3
Soil Enrichment and Crop Yield Enhancement Technique 土壤富集与作物增产技术
Q4 Mathematics Pub Date : 2021-06-30 DOI: 10.37622/adsa/16.1.2021.181-188
Aleksei V. Rusinov, Vladimir V. Sliusarenko, O. Kabanov, Tatiana V. Fediunina, Dmitrii A. Rusinov
The cultivation of agricultural crops in a given time frame is impossible without high-performance, high-horsepower tractors. During tillage, tractor propellers have a negative effect on the soil, leading to its compaction, abrasion, and disruption of the macro-aggregate composition. This leads to wind erosion, which reduces soil fertility and crop yields. The objective of the research is to determine the change in the macro-aggregate composition of the soil and its fertility during the impact of the propellers of the K-701 and K-744 tractors. The article presents the results of field studies proving the reduction of the negative impact on the soil of the propulsion devices of twin-wheeled tractors. 182 Aleksei V. Rusinov et al This will increase the grain yield up to 24%. The presented data will make it possible to carry out the optimal completing of the enterprise's tractor fleet, which ensures the minimum impact on the soil and the preservation of its fertility and yield.
如果没有高性能、大功率的拖拉机,在规定的时间内种植农作物是不可能的。在耕作过程中,拖拉机螺旋桨对土壤有负面影响,导致土壤压实、磨损和宏观团聚体组成的破坏。这会导致风蚀,从而降低土壤肥力和作物产量。研究的目的是确定在K-701和K-744拖拉机螺旋桨的影响下土壤的宏观团聚体组成及其肥力的变化。本文介绍了实地研究的结果,证明减少了双轮拖拉机推进装置对土壤的负面影响。Aleksei V. Rusinov等。这将使粮食产量提高24%。所提供的数据将使企业拖拉机车队的优化完成成为可能,从而确保对土壤的影响最小,并保持其肥力和产量。
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引用次数: 0
Proof of Collatz Conjecture Collatz猜想的证明
Q4 Mathematics Pub Date : 2021-06-30 DOI: 10.37622/adsa/16.1.2021.313-316
Chengning Liu
This paper used the mathematical induction to prove Collatz Conjecture, namely, assumed that the conjecture of 3, 5, 7, until 2m+1 were established, and the Collatz Conjecture transformation rule was used to prove that the conjecture was true whether m in 2m+3 was odd or even, which thoroughly proved Collatz Conjecture.
本文利用数学归纳法证明Collatz猜想,即假设3、5、7的猜想,直到2m+1成立,并利用Collatz猜想变换规则证明2m+3中的m无论奇数还是偶数都为真,彻底证明了Collatz猜想。
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引用次数: 0
De-identification Mechanism of Block Network Image Privacy Information based on Risk Level 基于风险等级的块网络图像隐私信息去识别机制
Q4 Mathematics Pub Date : 2021-06-30 DOI: 10.37622/adsa/16.1.2021.171-179
Jinsu Kim, Sungwoo Jung, S. Oh, Won-Chi Jung, Doik Hyun, Yujin Jung, Eunsun Choi, Namje Park
As society develops, the protection of individual safety is becoming increasingly important. In particular, the leakage of personal information, which means information that can be inferred from individuals, is a big topic that has caused a huge impact on society. In order to strengthen the protection of personal information, the video system pays a lot of attention to recorded video information or personal information, and a lot of research is being conducted to prevent it from being leaked or to identify the target from the leaked data. However, the recorded information may include criminals as well as ordinary people. There are also cases where personal information is not required to be disclosed for all criminals, but some disclosure is required depending on the risk of the subject. In this paper, we study the mechanism of applying risk-dependent non-identification in a blockchain-based data recording environment to enhance the reliability of data in the process of de-identification based on target risk information and whether it is criminal or not.
随着社会的发展,对个人安全的保护变得越来越重要。特别是个人信息的泄露,即可以从个人身上推断出的信息,是一个对社会造成巨大影响的大话题。为了加强对个人信息的保护,视频系统非常重视录制的视频信息或个人信息,并正在进行大量的研究,以防止其泄露或从泄露的数据中识别目标。然而,记录的信息可能包括罪犯,也可能包括普通人。在某些情况下,并不要求对所有罪犯披露个人信息,但根据犯罪主体的风险需要披露一些信息。本文研究了在基于区块链的数据记录环境中应用风险依赖非识别的机制,以增强基于目标风险信息的去识别过程中数据的可靠性,无论其是否犯罪。
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引用次数: 0
WQPSO Method uses K-means-based Consensus Clustering in BigData WQPSO方法在大数据中使用基于k均值的共识聚类
Q4 Mathematics Pub Date : 2021-06-30 DOI: 10.37622/adsa/16.1.2021.45-57
M. K. Reddy, P. Rao, E. Lydia
The consensus grouping expects to merge a few existing core segments into a coordinated set, which has generally been perceived for grouping heterogeneous and multi-source information. One can deduce from the strong and high-level performance of the usual grouping techniques draws by agreement in great consideration, and many efforts have been made to build this field. The Kmeans-based Consensus Clustering (KCC) changes the agreement grouping issue into a traditional Kmeans clustering with hypothetical backings and shows the favorable circumstances over the cutting edge techniques. Even though KCC acquires the benefits of Kmeans, it experiences assignment instantly. Also, the current system of aggregating arrangements isolates age and the combination of essential segments into two unrelated parties. To resolve the following two difficulties a Weighted Quantum Particle Swarm Optimization (WQPSO) with KCC is proposed. This paper proposes a WQPSO calculation with the weighted average of the best situation based on particle welfare estimates. Calculation WQPSO gives faster in the vicinity of mixing, the suites in a better harmony between the world and the neighborhood looking from the calculation so that it produces a great 46 Muthangi Kantha Reddy, Dr.P. Srinivasa Rao, Dr.E. Laxmi Lydia performance. The proposed calculation of the WQPSO is well informed on some reference books and the contrasted and standard Particle Swarm Optimization (PSO). Similarly, in the grouping, there are many calculations of unassigned grouping that have been created such calculation is a KCC which is basic and direct. The Big Data Cluster contains the KCC calculation which is essentially used to decrease the length of the asset group.
共识分组期望将现有的几个核心段合并为一个协调集,这通常被认为是对异构和多源信息的分组。人们可以从通常的分组技术的强大和高水平的性能中推断出,经过深思熟虑,已经做出了许多努力来建立这个领域。基于Kmeans的共识聚类(KCC)将协议分组问题转变为传统的具有假设支持的Kmeans聚类,并显示出优于前沿技术的有利条件。即使KCC获得了Kmeans的好处,它也会立即经历分配。此外,目前的汇总安排制度将年龄和基本部分的组合分离为两个不相关的方面。为了解决这两个问题,提出了一种基于KCC的加权量子粒子群优化算法。提出了一种基于粒子福利估计的最优情况加权平均的WQPSO计算方法。计算WQPSO给出了更快的附近混音,套房在世界和邻居之间更好的和谐,从计算中看,所以它产生了一个伟大的46 Muthangi Kantha Reddy博士。Srinivasa Rao博士。拉克西米·莉迪亚的表演。本文提出的WQPSO的计算方法在一些参考书中得到了很好的介绍,并与标准粒子群算法进行了对比。同样,在分组中,也有许多已创建的未分配分组的计算,这种计算是基本的和直接的KCC。大数据集群包含KCC计算,主要用于减少资产组的长度。
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引用次数: 0
Ulam-type Stability for a Boundary Value Problem of Implicit Fractional-orders Differential Equation 隐式分数阶微分方程边值问题的ulam型稳定性
Q4 Mathematics Pub Date : 2021-06-30 DOI: 10.37622/adsa/16.1.2021.75-89
A. El-Sayed, Sahar Y. Issa, M. Elmiari
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引用次数: 2
A Comparison of Survivor Rate Estimates for Some Probability Distribution Models Using Least-Squares Method in Conjunction with Simplex and Quasi-Newton Optimization Methods 用最小二乘法与单纯形和拟牛顿优化方法对几种概率分布模型的存活率估计进行比较
Q4 Mathematics Pub Date : 2021-06-30 DOI: 10.37622/adsa/16.1.2021.5-15
K. Khan
In this paper, we find survival rate estimates, parameter estimates, variance covariance for some probability distribution models like, Exponential, Inverse Gaussian, Gompertz, Gumbels and Weibull distributions using least-squares estimation method. We found these estimates for the case when partial derivatives were not available and for the case when partial derivatives were available. The first case when partial derivatives were not available, we used the simplex optimization (Nelder and Meads ([6],[7]) and Hooke and Jeeves ([4],[5])) methods and the case when first partial derivatives were available we applied the Quasi – Newton optimization (Davidon-Fletcher-Powel (DFP) and the Broyden-Fletcher-Goldfarb-Shanno (BFGS) methods. The medical data sets of 21 Leukemia cancer patients with time span of 35 weeks ([3]) were used.
本文用最小二乘估计方法对指数分布、逆高斯分布、Gompertz分布、gumbel分布和Weibull分布等概率分布模型进行了存活率估计、参数估计和方差协方差估计。我们发现这些估计值适用于不存在偏导数的情况以及存在偏导数的情况。在第一种情况下,当偏导数不可用时,我们使用单纯形优化(Nelder and Meads([6],[7])和Hooke and Jeeves([4],[5]))方法;在第一种情况下,当偏导数可用时,我们应用拟牛顿优化(davidon - fletcher - powell (DFP)和Broyden-Fletcher-Goldfarb-Shanno (BFGS)方法。采用时间跨度为35周的21例白血病患者的医疗数据集[3]。
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引用次数: 0
Coupled fixed point theorem for mapping satisfying cyclic-F-contraction 满足循环- f收缩的映射的耦合不动点定理
Q4 Mathematics Pub Date : 2021-06-30 DOI: 10.37622/adsa/16.1.2021.113-120
Jayant Prakash Ganvir, S. Bhaumik, S. K. Tiwari
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Advances in Dynamical Systems and Applications
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