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Implementation of Network Intrusion Detection System Using Soft Computing Algorithms (Self Organizing Feature Map and Genetic Algorithm)

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Journal of Information Security 2019年第1期10卷 1-24页

作者： Joel T.Hounsou thierry nsabimana Jules Degila Institut de Mathématiques et de Sciences Physiques Porto-NovoBeninUniversitéd’Abomey Calavi

In today’s world, computer network is evolving very rapidly. Most public or/and private companies set up their own local networks system for the purpose of promoting communication and data sharing within the companies. Unfortunately, their data and local networks system are under risks. With the advanced computer networks, the unauthorized users attempt to access their local networks system so as to compromise the integrity, confidentiality and availability of resources. Multiple methods and approaches have to be applied to protect their data and local networks system against malicious attacks. The main aim of our paper is to provide an intrusion detection system based on soft computing algorithms such as Self Organizing Feature Map Artificial Neural Network and Genetic Algorithm to network intrusion detection system. KDD Cup 99 and 1998 DARPA dataset were employed for training and testing the intrusion detection rules. However, GA’s traditional Fitness Function was improved in order to evaluate the efficiency and effectiveness of the algorithm in classifying network attacks from KDD Cup 99 and 1998 DARPA dataset. SOFM ANN and GA training parameters were discussed and implemented for performance evaluation. The experimental results demonstrated that SOFM ANN achieved better performance than GA, where in SOFM ANN high attack detection rate is 99.98%, 99.89%, 100%, 100%, 100% and low false positive rate is 0.01%, 0.1%, 0%, 0%, 0% for DoS, R2L, Probe, U2R attacks, and Normal traffic respectively.

关键词： SOFM Intrusion Detection Systems False Positive Rate Detection Rate KDD Cup 99 GA

Decision-Making Information System for Academic Careers in Congolese Universities: From Analysis to Design of a Data Warehouse

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Open Journal of Applied Sciences 2023年第12期13卷 2395-2407页

作者： Boribo Kikunda Philippe thierry nsabimana Longin Ndayisaba Jules Raymond Kala Jérémie Ndikumagenge Elie Zihindula Mushengezi Centre de Recherche en Infrastructure Environnement et Technologie (CRIET) Faculty of Engineering Sciences Université du Burundi Bujumbura Burundi Faculty of Sciences Université Catholique de Bukavu (UCB) Bukavu DR Congo Management Computer Département Institut Supérieur Pédagogique de Bukavu (ISP/Bukavu) Bukavu DR Congo

Universities collect and generate a considerable amount of data on students throughout their academic career. Currently in South Kivu, most universities have an information system in the form of a database made up of several disparate files. This makes it difficult to use this data efficiently and profitably. The aim of this study is to develop this transactional database-based information system into a data warehouse-oriented system. This tool will be able to collect, organize and archive data on the student’s career path, year after year, and transform it for analysis purposes. In the age of Big Data, a number of artificial intelligence techniques have been developed, making it possible to extract useful information from large databases. This extracted information is of paramount importance in decision-making. By way of example, the information extracted by these techniques can be used to predict which stream a student should choose when applying to university. In order to develop our contribution, we analyzed the IT information systems used in the various universities and applied the bottom-up method to design our data warehouse model. We used the relational model to design the data warehouse.

关键词： Data Warehouse University Courses Universities of South Kivu

Analysis of Extreme Temperature Variability in Rwanda

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Journal of Atmospheric Science Research 2024年第1期7卷 74-89页

作者： Protais Seshaba Edouard Singirankabo Donat nsabimana Department of Science and Humanities Protestant Institute of Arts and Social SciencesP O Box 619HuyeRwanda Department of Mathematics Science and Physical EducationUniversity of RwandaCollege of EducationP O Box 55RukaraRwanda Department of Forestry University of RwandaCollege of Science and TechnologyP O Box 55HuyeRwanda

The temperature is one of the most important factors in weather and climate *** its behaviour is crucial to understanding climate variability,which could vary spatially and temporally at local,regional,and global *** recent studies on air temperature findings show that the Earth’s near surface air temperature increased between 0.6℃ and 0.8℃ throughout the twentieth *** temperature records from ten meteorological stations,this study examined climate variability in Rwanda from the 1930s to *** air temperature data were collected from Meteo *** making the analysis,the authors used software,such as Excel 2007 and INSTAT to control the quality of the raw *** analysis of maxima and minima indicated that the trends of maximum air temperature were positive and significant at height meteorological stations,whereas the trends for minimum air temperature were found to be at 10 meteorological *** all parameters analysed,Kigali Airport meteorological station indicated the higher significance of the *** majority of meteorological stations showed an increase in both hot days and nights,confirming Rwanda’s warming over *** analysis of average seasonal air temperature showed almost similar trends even though not all were *** similarity in trends could be attributed to the fact that Rwanda’s short and long dry seasons coincide with rainy seasons.

关键词： Climate variability Air temperature Solar radiation Meteorological station

Electrochemical Properties of Boron-doped Ordered Mesoporous Carbon as an Electrode Material and Pt Catalysts Support

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Electrochemical Properties of Boron-doped Ordered Mesoporous...

作者： Anaclet nsabimana 东北师范大学

学位级别：硕士

由于纳米尺寸的材料具有与宏观物质所迥异的物理化学性质,纳米材料优异的性质激励着许多科研工作者不断研究新型的纳米材料。有序介孔碳作为新型碳材料的一员,在各个领域都受到广泛的关注与应用。有序介孔碳具有有序规则的孔道结构、在... 详细信息

由于纳米尺寸的材料具有与宏观物质所迥异的物理化学性质,纳米材料优异的性质激励着许多科研工作者不断研究新型的纳米材料。有序介孔碳作为新型碳材料的一员,在各个领域都受到广泛的关注与应用。有序介孔碳具有有序规则的孔道结构、在介孔尺度内可控的孔径、较大的比表面积与孔隙率、较好的热稳定性与化学稳定性、较低电子转移电阻、较大的吸附能力、较好的化学惰性。为了拓展有序介孔碳在不同领域的适用性,通常需要对有序介孔碳进行适当的杂原子的掺杂。杂原子的掺杂不仅能有效地改变有序介孔碳的电子结构,而且可以在有序介孔碳的表面引进许多官能团。因此,通过杂原子的掺杂可以有效提高介孔碳的电化学性质。在电化学中Pt纳米粒子是一种公认的有效的、不可或缺的电催化剂。很多文献都报道了采用碳材料载体负载Pt纳米粒子可以提高Pt催化剂的催化效果和降低成本。根据以前的文献报道,本论文研究硼掺杂有序介孔碳作为修饰电极材料与Pt纳米粒子催化剂载体的电化学应用。第二章中,选用六种电活性物质(抗坏血酸、多巴胺、尿酸、辅酶NADH、过氧化氢、葡萄糖)评价了硼掺杂有序介孔碳的电催化性能。通过与未掺杂的有序介孔碳相比较来阐述硼元素的掺杂对有序介孔碳电催化性能的影响。通过负载葡萄糖氧化酶构建基于硼掺杂有序介孔碳的葡萄糖生物传感器。与有序介孔碳相比较,硼掺杂有序介孔碳对电活性物质表现出较高灵敏度、较低的检出限。较大的峰电流。在第三章中,讨论了硼掺杂有序介孔碳对Pt催化剂的负载能力以及硼元素的掺杂对Pt催化剂电催化能力的影响。硼掺杂有序介孔碳负载的Pt催化剂可以用作甲醇氧化反应的电催化剂。负载在硼掺杂有序介孔碳的Pt纳米粒子的尺寸为2.62nm。与商业Pt/C、Pt负载的有序介孔碳相比较,硼掺杂有序介孔碳负载的Pt催化剂有较高的电催化能力。

关键词：有序介孔碳硼掺杂铂纳米粒子生物传感器甲醇氧化

Multifractal features of the particle-size distribution of suspended sediment in the Three Gorges Reservoir, China

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International Journal of Sediment Research 2021年第4期36卷 489-500页

作者： Jinlin Li Xiubin He Jie Wei Yuhai Bao Qiang Tang Jean de Dieu Nambajimana Gratien nsabimana Dil Khurram Key Laboratory of Mountain Surface Processes and Ecological Regulation Institute of Mountain Hazards and Environment Chinese Academy of Sciences Chongqing Key Laboratory of Earth Surface Processes and Environmental Remote Sensing in the Three Gorges Reservoir Area University of Chinese Academy of Sciences School of Geographical Sciences Southwest University

The Three Gorges Reservoir(TGR) in China is the largest hydroelectric project in the world,but the threat of sediment affecting ecological sustainability of the reservoir is a topic of *** particlesize distribution(PSD) is informative in understanding sediment transport dynamics and biochemical *** is,therefore,important to quantitatively characterize the distribution of sediment *** the current study,fractal theory is applied to determine the PSD of suspended sediment in the *** results show that the volumetric fractal dimension(Dv) exhibits a significant seasonal difference(p <0.05),reflecting sediment source and hydrodynamic sorting control the granularity of suspended sediment in the *** specifically,suspended sediment particles are coarser in the wet season than in the dry season for the Yangtze River,and the opposite is true for the Ruxi River,an important *** generalized dimension spectrum,D(q)-q,and multifractal singularity spectrum,f[α(q)]-α(q),were calculated for each suspended sediment ***,the parameters,D(0),D(1),D(2),α(0),Δα(q),and Δf [α(q)],were determined to characterize the *** a result,the coarser suspended sediment during the wet season is characterised by a more complex PSD pattern,with a wider range of particle sizes,greater heterogeneity,and greater homogeneity of distribution over the measurement ***,the multifractal structure of the PSD of suspended sediment is more complex during the dry season than during the wet season,with higher local dispersion and *** findings of the current study highlight that multifractal analysis provides important insight for understanding the PSD of suspended sediment in the TGR.

关键词： Particle-size distribution Suspended sediment Multifractal features Flow regulation Three Gorges Reservoir

基于CysM靶蛋白筛选抗猪链球菌的中药成分

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基于CysM靶蛋白筛选抗猪链球菌的中药成分

作者： Eliphaz nsabimana 东北农业大学

学位级别：硕士

猪链球菌（Streptococcus suis,***）是猪场中最常见的病原体,其可引起猪脑膜炎、心内膜炎和败血症,导致养猪业巨大的经济损失。随着抗菌药物的大量使用,猪链球菌对某些抗菌药物的耐药性逐年增加,使抗菌药物的治疗效果逐年降低。本课题... 详细信息

猪链球菌（Streptococcus suis,***）是猪场中最常见的病原体,其可引起猪脑膜炎、心内膜炎和败血症,导致养猪业巨大的经济损失。随着抗菌药物的大量使用,猪链球菌对某些抗菌药物的耐药性逐年增加,使抗菌药物的治疗效果逐年降低。本课题组前期研究表明,CysM是猪链球菌半胱氨酸生物合成途径的关键酶,其可能是开发抗菌药物的一个靶点。在本研究中,使用MODELLER 4.0软件对CysM蛋白进行同源模建,用PROCHECK、ERRAT和VERFY软件对模型结构质量进行评价,用Maestro 10.6软件完成20种中药单体与猪链球菌CysM蛋白的分子对接,并通过体外抗菌试验对其验证。具体研究结果如下:（1）用MODELLER 4.0软件成功构建了CysM蛋白的三维结构模型。（2）用PROCHECK、ERRAT和VERFY三种软件对模型结构质量进行评价,发现92.5%的氨基酸残基位于有利区域,同时CysM蛋白的三级结构域的预测总质量因子为93.5,此外CysM的Verify-3D结果表明,3D/1D图谱中100%的氨基酸得分≥0.2。（3）通过分子对接结果得出20种中药单体与CysM蛋白有高亲和力,其分别为:绿原酸、D-海藻糖、秦皮甲素、根皮苷、佛手苷、丹参素钠、丹参素、褪黑素、苯乙素、桃叶珊瑚苷、天麻素、没食子酸、莽草酸、蛇床子苷、肌苷、5-羟基色氨酸、鞣花酸、虫草素、醋酸茶碱和厚朴酚。其中没食子酸打分-11.833 kcal/mol,CysM与没食子酸相互作用的氨基酸分别为Lys44、Ser266、Gly178、Thr179和Gly180。（4）中药单体对猪链球菌的体外抗菌作用的试验结果表明:（1）在对猪链球菌野生株最小抑菌浓度试验中,绿原酸MIC为886.5μg/mL,丹参素MIC为128μg/mL,岩白菜素MIC为1642μg/mL,没食子酸MIC为212.5μg/mL,虫草素MIC为628μg/mL,其他中药单体对猪链球菌野生株均无抗菌作用。（2）在对耐泰乐菌素猪链球菌的最小抑菌浓度试验中,绿原酸MIC为1773μg/mL、丹参素MIC为128μg/mL、丹参素钠MIC为128μg/mL、没食子酸MIC为425μg/mL、虫草素MIC为628μg/mL,其余中药单体对耐泰乐菌素猪链球菌均无抗菌作用。（3）在对猪链球菌cys M基因缺失株的最小抑菌浓度试验中,绿原酸MIC为887μg/mL、丹参素MIC为128μg/mL、丹参素钠MIC为128μg/mL、没食子酸MIC为106μg/mL、虫草素MIC为1256μg/mL、和厚朴酚MIC为128μg/mL,其余中药单体对猪链球菌CysM基因缺失株均无抗菌作用。综上所述,本研究利用分子对接技术对CysM蛋白的潜在抑制剂进行了预测分析并对其验证。结果表明,在体外,某些中药单体对猪链球菌具有抑菌作用,其中没食子酸与其它五种中药单体相比,抑菌效果最好,本研究为开发猪链球菌的新型抗菌药物奠定了理论基础。

关键词： CysM 分子对接同源模拟猪链球菌中药单体没食子酸

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视频图像雪花检测和去除方法研究

视频图像雪花检测和去除方法研究

作者： Venant nsabimana 北京交通大学

学位级别：硕士

下雪时,天气往往是多变的。在许多情况下,各种天气交替出现,例如伴有雾的雪,这就增加了在雪花背景下分割视频图像的难度。这些情况可能对交通部门产生显著的负面影响,特别是在高纬度的大部分地区,或者冬季有冰雪天气。这在一定程度上影... 详细信息

下雪时,天气往往是多变的。在许多情况下,各种天气交替出现,例如伴有雾的雪,这就增加了在雪花背景下分割视频图像的难度。这些情况可能对交通部门产生显著的负面影响,特别是在高纬度的大部分地区,或者冬季有冰雪天气。这在一定程度上影响了人们的旅行和交通。尤其是,突然的雪灾对铁路运输造成严重干扰,对运输安全造成重大影响。因此,从背景中分割和提取雪对提高列车驾驶员的视线,防止铁路运输上的潜在事故以及开发冰雪的实时监测预报和警告技术具有重要意义。从视频/图像去除雪是非常具有挑战性和复杂的事情。通常,雪花仅影响图像上非常小的区域,因此,需要确定应该研究的区域。在这项研究中,一个新的技术已经实施,有效地使用L0梯度最小化方法来删除雪的像素。最小化技术可以全局地控制在图像中产生多少非零梯度。该方法独立于局部特征,而是全局地定位重要边缘。这些突出边缘被保留并且低幅度和不显着的细节将被扣除。以这种方式去除雪的像素。实验结果表明,所提出的除雪方法是高效的提取雪,即使在大雪条件下仍然保留图像的细节。本研究的主要工作如下:(1)通过使用梯度最小化技术来从视频中检测雪。(2)通过使用称为平滑的操作来从视频图像中去除雪。平滑操作通过以全局方式限制非零梯度的数量来识别显着区域,即最高对比度边缘。

关键词：视频图像雪花检测 Sobel滤波算法雪花去除 L0梯度最小化

Human seroreactivity against Bartonella species in the Democratic Republic of Congo

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Asian Pacific Journal of Tropical Medicine 2011年第4期4卷 320-322页

作者： Anne Laudisoit Jennifer Iverson Simon Neerinckx Jean-Christophe Shako Jean-Marie Mafuko nsabimana Gilbert Kersh Michael Kosoy Nordin Zeidner University of Liverpool LiverpoolUnited Kingdom University of Antwerpen AntwerpenBelgium Centers for Disease Control and Prevention Fort CollinsColoradoUSA Katholieke Universiteit Leuven HeverleeBelgium Medical Reference Laboratory BuniaDemocratic Republic of Congo Urban Refugees Health Supervisor Handicap International France/ Burundi Centers for Disease Control and Prevention AtlantaUSA

Objective:To assess the presence and identity of Bartonella species in a pool of human blood samples from DRC ***:Blood(±120μL) was collected anonymously from Congolese patients and placed on calibrated filter *** serology determination was performed using an indirect immun of luorescence assay(IFA) against six specific Bartonella antigens and Coxiella burnetii(***) *** end cut- of f value for Bartonella *** a titre greater than ***:None of the patients was positive for Bartonella elizabethae, Bartonella vinsonii *** or Bartonella vinsonii *** nor for ***, but 4.5%of the 1SS samples were positive for either Bartonella henselae,Bartonella quintana, or Bartonella ***:This preliminary study presents the first report of Bartonella species in the DR Congo and the first report of antibodies to Bartonella clarridgeiae in an African human *** few experimental trials have established the link between fleas and Bartonella transmission,the repeated detection of similar Bartonella species in fleas and humans in several countries suggests that Bartonellosis could be another flea-borne disease which specific reservoirs are still unknown.

关键词： Bartonella Democratic Republic of Congo Serology Human

新冠肺炎疫情爆发期间列车调度与机车分配联合优化

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新冠肺炎疫情爆发期间列车调度与机车分配联合优化

作者： nsabimana Buhigiro 北京交通大学

学位级别：硕士

疫情防控对铁路运输造成了巨大冲击,其主要特点是旅客运输量大幅下降。因此,为了满足铁路集团公司对疫情防控的需要,许多铁路运行线路被取消或调整。针对上述列车调整和机车分配问题,本文建立了混合整数规划模型,针对具体线路,分别考虑... 详细信息

疫情防控对铁路运输造成了巨大冲击,其主要特点是旅客运输量大幅下降。因此,为了满足铁路集团公司对疫情防控的需要,许多铁路运行线路被取消或调整。针对上述列车调整和机车分配问题,本文建立了混合整数规划模型,针对具体线路,分别考虑了运营成本和机车使用效率,优化疫情爆发期间的列车时刻表和机车分配。本研究成果可作为铁路集团公司处理铁路运输突发性中断及任何具有相同特征的运输中断的决策支持工具。本文第一章和第二章分别进行了问题介绍及相关研究概述。第三章介绍的是以运营成本为导向的列车调整和机车分配模型,该模型考虑了全列车服务(列车从车辆段出发至返回)和固定的列车运行约束,如运行时间、停留时间和最小间隔时间。此外,论文还考虑了基于客运量变化的最小运营成本。以京津城际铁路上的三种不同场景(反映了疫情爆发到完全恢复的不同过程)为案例,验证了模型的求解效率。第四章介绍的是基于效率的列车调整和机车分配模型,该模型考虑了每条运行线路和机车牵引作业的时间窗,最小化列车调度和机车使用空闲时间。同时,提出了一种求解算法,根据最优列车调度结果确定最小机车舰队规模,进而减少机车牵引空闲时间。针对疫情发展的不确定性,本文设计了两种有效的铁路作业线恢复和取消方法,根据机车分配结果插入和删除铁路运行线。最后,论文基于京津城际铁路开展了案例分析,场景涵盖2019年12月疫情爆发至铁路恢复运营。综上,本文建立了两个整数规划模型求解疫情期间的列车调整和机车分配问题,分别从两个角度进行考虑,即满足乘客需求的最小运营成本和最高机车利用效率。模型通过从列车时刻表中插入或删除运行线,从而解决了疫情防控的不确定性问题。在运行线的铺画方面,本文设计了两种运行线增删算法。通过案例研究表明,考虑运行线和机车利用效率模型在计算效率和使用范围上有更好的性能。

关键词：列车调度机车分配整合优化客运量运行线新型冠状病毒肺炎