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A PREVENTIVE APPROACH USING THE DATA MINING OF TRANSACTION AUDIT LOG FOR DATABASE INTRUSION DETECTION 一种利用事务审计日志的数据挖掘进行数据库入侵检测的预防性方法
Pub Date : 2023-02-25 DOI: 10.46565/jreas.202273391-396
Y. Rathod
Information is a key component in today’s global business environment. An organization, institute, or business firm uses various database management systems for managing its crucial information. The security mechanism provides by DBMS is not enough to prevent intruders or detect anomalous behavior. Unauthorized users and sometimes authorized users to execute malicious commands intentionally or by mistake, cannot be detected and prevented by a typical security mechanism. Intrusion detection system finds intrusive action and attempts by detecting the behavior of user’s action. Security features can be enhanced by adding intrusive detection technology to the Database management system. Data mining is to identify valid, novel, potentially useful, and ultimately understandable patterns in massive data. It is required to apply data mining techniques to detect various intrusions. In this paper mechanism based on data mining is discussed to detect malicious action in DBMS.
信息是当今全球商业环境的关键组成部分。组织、研究所或商业公司使用各种数据库管理系统来管理其关键信息。DBMS提供的安全机制不足以防止入侵者或检测异常行为。典型的安全机制无法检测和阻止未授权用户(有时是授权用户)故意或错误地执行恶意命令。入侵检测系统通过检测用户的行为来发现入侵行为和企图。通过在数据库管理系统中加入侵入式检测技术,可以增强数据库的安全特性。数据挖掘是在海量数据中识别有效的、新颖的、潜在有用的和最终可理解的模式。需要应用数据挖掘技术来检测各种入侵。本文讨论了基于数据挖掘的恶意行为检测机制。
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引用次数: 0
HEAVY METAL CONTENTS OF ONDA TANTALITE MINING AREA, NASARAWA STATE, NIGERIA 尼日利亚纳萨拉瓦州onda钽矿矿区重金属含量
Pub Date : 2023-02-25 DOI: 10.46565/jreas.202273391-400
Opaluwa O. D, Osu J. E, Agbalaya W. A.
Heavy metal contents in soil from Onda tantalite mining area were studied. Thirty and ten soil samples were collected from the mining area and control site, respectively, using a hand auger. The soil samples were analysed for heavy metals; Cd, Co, Cr, Cu, Fe, Pb, Mn, Ni and Zn using atomic absorption spectrophotometer, AAS. The results obtained showed that the mean concentrations for the respective metals above were 9.38±2.98, 18.25±5.32, 40.29±8.47, 34.40±8.77, 1590.57±403.46, 53.10±11.65, 188.57±41.13, ND and 620.44±91.47 mg/kg in soils from the mining area and 6.40±1.99, 21.00±3.68, ND, 36.36±5.26, 1195.95±314.52, 31.24±6.93, 143.23±28.26, ND and 564.15±120.82 mg/kg for soils from the control site. The mean metal contents from the mining site were all higher than those from the control site due to mining activities, except for Co and Cu but were all lower compared to the recommended permissible limits by WHO except for Cd and Zn. The EF, CF, PLI, ERI and PERI evaluated for metals from the mining site show no imminent danger. However, there is the need for constant and regular monitoring of the level of heavy metals in soil from the site because of accumulation overtime, and soil remediation should be employed to take care of cadmium and zinc.
对翁达钽矿区土壤重金属含量进行了研究。使用手动螺旋钻分别从矿区和对照场地采集了30个和10个土壤样本。对土壤样品进行了重金属分析;用原子吸收分光光度计测定Cd、Co、Cr、Cu、Fe、Pb、Mn、Ni、Zn。结果表明,矿区土壤中上述金属的平均浓度分别为9.38±2.98、18.25±5.32、40.29±8.47、34.40±8.77、1590.57±403.46、53.10±11.65、188.57±41.13、ND和620.44±91.47 mg/kg,对照组土壤中上述金属的平均浓度分别为6.40±1.99、21.00±3.68、ND、36.36±5.26、1195.95±314.52、31.24±6.93、143.23±28.26、ND和564.15±120.82 mg/kg。除Co和Cu外,矿区的平均金属含量均高于对照区,但除Cd和Zn外,均低于WHO推荐的允许限值。对矿区金属进行的EF、CF、PLI、ERI和PERI评估显示,没有迫在眉睫的危险。然而,由于长期积累,需要对场地土壤中重金属的水平进行持续和定期的监测,并应采取土壤修复措施来处理镉和锌。
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引用次数: 0
CHICKEN BANDA PERFORMANCE IMPROVEMENT UTILIZING NEURO-FUZZY LOGIC TECHNIQUE 利用神经模糊逻辑技术改进鸡班达性能
Pub Date : 2023-02-25 DOI: 10.46565/jreas.202273362-367
Patrick O. M. Ogutu, N. Oyie, Dr Winston Ochieng Ojenge
This study is on improvement of performance of the chicken Banda, using indoor change in environmental conditions for temperature control. The differential change in climatic conditions is technically used to put on the fan and the Banda so as to realize the right comfortable indoor conditions. The chicken chicks’ Banda Mathematical model is created, prototype designed, temperature controller to depict a two systems simulation of neuro fuzzy logic and fuzzy logic .The performance is analyzed by the use of Matlab Simulink latest edition. To monitor the temperature of the Chicken cage the neural fuzzy logic technique is utilized. As far as the prototype is concerned the chicks’ cage set temperature is fixed at 26.50C. The study will show that the reference input can be kept on track by the process controller hence proving the principle that the neural fuzzy control is much superior in optimizing performance compared to the fuzzy only controllers. The Back propagation (BP) and least square estimator (LSE) are the hybrid optimization methods which are used. For data training the gradient descent method (GDM) is used. The research reveal that  there is drastic performance improvement in the behavior response where  result show that there settling time is reduced from 0.75 to 0.48 seconds while the percentage  overshoot is also reduced down  from 29.9% to 0.9345%.
本研究旨在利用室内环境条件的变化进行温度控制,提高班达鸡的生产性能。技术上利用气候条件的差异变化,对风扇和班达进行调节,以实现合适的舒适室内条件。建立了鸡的班达数学模型,设计了样机,对温度控制器进行了神经模糊逻辑和模糊逻辑两种系统的仿真描述,并利用Matlab Simulink最新版对其性能进行了分析。利用神经模糊逻辑技术对鸡笼温度进行监测。就原型而言,小鸡笼的设定温度固定在26.50摄氏度。研究表明,参考输入可以通过过程控制器保持在轨道上,从而证明了神经模糊控制在优化性能方面比纯模糊控制器优越的原理。反向传播(BP)和最小二乘估计(LSE)是一种混合优化方法。数据训练采用梯度下降法(GDM)。研究表明,在行为响应方面有显著的性能提升,沉降时间从0.75秒减少到0.48秒,超调百分比也从29.9%减少到0.9345%。
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引用次数: 0
TOWARDS SELF-ADAPTIVE LEARNING PLATFORM IN FUTURE CLASSROOM BASED ON EMOTION COMPUTING 基于情感计算的未来课堂自适应学习平台研究
Pub Date : 2023-02-25 DOI: 10.46565/jreas.202273383-386
Hua Wang, Jian Yu
The accurate recognition of the emotion of learners is the basis of harmonious emotional interaction in the intelligent learning environment of the future classroom. This project focuses on the lack of research and practical exploration on harmonious emotional interaction in the future classroom, and constructs the database of learning pictures and expression pictures of learners by employing Convolution Neural Network. Endowing the future classroom with a self-adaptive interaction property at the emotional level by emotion computing can promote to learn effectively. The proposed platform can self-adaptively adjust the visual characteristics of learning picture according to the expression of learners, visual emotion preference and learning picture emotion, and then present the adapted learning picture to learners in real time, so as to realize the adaptive interaction at the emotional level in the future classroom.
对学习者情感的准确识别是未来课堂智能学习环境中情感和谐互动的基础。本项目针对未来课堂中和谐情感互动研究和实践探索的不足,采用卷积神经网络构建学习者学习图片和表情图片数据库。通过情感计算赋予未来课堂在情感层面的自适应互动属性,可以促进有效的学习。所提出的平台可以根据学习者的表达方式、视觉情感偏好和学习图片情感,自适应地调整学习图片的视觉特征,然后将适应后的学习图片实时呈现给学习者,从而在未来课堂中实现情感层面的自适应交互。
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引用次数: 0
HEAVY METAL CONTENTS OF ONDA TANTALITE MINING AREA, NASARAWA STATE, NIGERIA 尼日利亚纳萨拉瓦州onda钽矿矿区重金属含量
Pub Date : 2023-02-25 DOI: 10.46565/jreas.202381479-493
Opaluwa, O. D, Osu, J. E., Agbalaya, W. A
Heavy metal contents in soil from Onda tantalite mining area were studied. Thirty and ten soil samples were collected from the mining area and control site, respectively, using a hand auger. The soil samples were analysed for heavy metals; Cd, Co, Cr, Cu, Fe, Pb, Mn, Ni and Zn using atomic absorption spectrophotometer, AAS. The results obtained showed that the mean concentrations for the respective metals above were 9.38±2.98, 18.25±5.32, 40.29±8.47, 34.40±8.77, 1590.57±403.46, 53.10±11.65, 188.57±41.13, ND and 620.44±91.47 mg/kg in soils from the mining area and 6.40±1.99, 21.00±3.68, ND, 36.36±5.26, 1195.95±314.52, 31.24±6.93, 143.23±28.26, ND and 564.15±120.82 mg/kg for soils from the control site. The mean metal contents from the mining site were all higher than those from the control site due to mining activities, except for Co and Cu but were all lower compared to the recommended permissible limits by WHO except for Cd and Zn. The EF, CF, PLI, ERI and PERI evaluated for metals from the mining site show no imminent danger. However, there is the need for constant and regular monitoring of the level of heavy metals in soil from the site because of accumulation overtime, and soil remediation should be employed to take care of cadmium and zinc.  
对翁达钽矿区土壤重金属含量进行了研究。使用手动螺旋钻分别从矿区和对照场地采集了30个和10个土壤样本。对土壤样品进行了重金属分析;用原子吸收分光光度计测定Cd、Co、Cr、Cu、Fe、Pb、Mn、Ni、Zn。结果表明,矿区土壤中上述金属的平均浓度分别为9.38±2.98、18.25±5.32、40.29±8.47、34.40±8.77、1590.57±403.46、53.10±11.65、188.57±41.13、ND和620.44±91.47 mg/kg,对照组土壤中上述金属的平均浓度分别为6.40±1.99、21.00±3.68、ND、36.36±5.26、1195.95±314.52、31.24±6.93、143.23±28.26、ND和564.15±120.82 mg/kg。除Co和Cu外,矿区的平均金属含量均高于对照区,但除Cd和Zn外,均低于WHO推荐的允许限值。对矿区金属进行的EF、CF、PLI、ERI和PERI评估显示,没有迫在眉睫的危险。然而,由于长期积累,需要对场地土壤中重金属的水平进行持续和定期的监测,并应采取土壤修复措施来处理镉和锌。
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引用次数: 0
THE EFFECT OF USING ALUMINIUM FOAM IN STEEL SANDWICH TARGETS AGAINST BLUNT PROJECTILES 泡沫铝在钢夹芯靶中对钝弹的防护效果
Pub Date : 2022-09-30 DOI: 10.46565/jreas.202273353-361
M. H. Abdelshafy
In this paper, the effect of using Aluminium Foam (Alporas) on the ballistic resistance of multi layered target comprising two steel layers and Al foam in between against rigid projectile of blunt nose impact at sub-ordnance velocities (320 : 400 m/s) is evaluated using finite element analysis using ABAQUS/explicit. Rigid projectile of blunt nose is considered, it is manufactured from Arne tool steel with a nominal mass and diameter of 197 g and 20 mm. The evaluation has been done by comparing the ballistic resistance of a single layer of steel plate to eleven different composite plate structure comprising two layers of steel plates and Aluminium foam layer sandwiched between them. The study reveals that using Aluminium foam absorbs more kinetic energy from the projectile during penetration and, hence, reduces the residual velocity of the projectile. Also it is found that the total mass of each structure is less than the total mass of single layer target.
本文采用ABAQUS/explicit有限元分析软件,研究了泡沫铝(Alporas)对由两层钢层和泡沫铝层组成的多层靶在次炮速(320:400 m/s)钝头冲击下的抗弹性能的影响。考虑钝鼻刚性弹丸,它由标称质量为197 g、直径为20 mm的Arne工具钢制造。通过比较单层钢板与两层钢板夹泡沫铝层组成的11种不同复合板结构的抗弹道性能进行了评价。研究表明,使用泡沫铝在侵彻过程中吸收了更多的弹丸动能,从而降低了弹丸的剩余速度。同时发现各结构的总质量小于单层靶材的总质量。
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引用次数: 0
DEVELOPMENT OF ANDROID-BASED INTERACTIVE ELECTRONIC MODULE AS LEARNING SOURCES IN THE HISTORY OF NATIONAL MOVEMENT COURSES IN THE DIGITAL ERA 开发基于android的交互式电子模块作为数字时代民族运动史课程的学习源
Pub Date : 2022-01-21 DOI: 10.46565/jreas.2022.v07i01.006
Arfan Diansyah, Syarifah .
This study aims to develop an Android-based interactive electronic module as a learning resource for students majoring in history education at the State University of Medan, Indonesia in the National Movement History course. The current digital era requires lecturers to be more creative and innovative in developing learning resources that can reach and attract students who are technology and information literate and proficient. In developing this module, the researcher used the research and development model of the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). The advantages of this model are simple, easy to learn and systematic structure. In addition, the researcher also involved experts in the material (content), linguistic, and presentation aspects. The results showed that this module is very feasible, effective and interactive as a learning resource. It can be seen from the results of the first stage the average score of the first stage is 3.48 (good). While the average score of the material expert assessment in the second stage is 4.13, if it is presented then the number is 82.6%, it means that the feasibility value of the product developed based on the material expert's assessment is in the Eligible
本研究旨在开发一个基于android的互动式电子模组,作为印尼棉兰州立大学历史教育专业学生在国家运动史课程中的学习资源。当前的数字时代要求讲师在开发学习资源方面更具创造性和创新性,这些资源可以覆盖并吸引精通技术和信息的学生。在本模块的开发中,研究者采用了ADDIE模型(Analysis, Design, development, Implementation, and Evaluation)的研发模式。该模型具有简单、易学、结构系统化等优点。此外,研究人员还参与了材料(内容)、语言和表达方面的专家。结果表明,该模块作为一种学习资源是非常可行、有效和互动性强的。从第一阶段的成绩可以看出,第一阶段的平均分是3.48分(好)。第二阶段材料专家评估的平均分为4.13分,如果给出,则为82.6%,说明根据材料专家评估开发的产品的可行性值在合格范围内
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引用次数: 0
SATELLITE TRACKING CONTROL SYSTEM USING DIFFERENT OPTIMAL CONTROLLERS BASED ON EVOLUTIONARY OPTIMIZATION TECHNIQUES 基于进化优化技术的不同最优控制器的卫星跟踪控制系统
Pub Date : 2022-01-21 DOI: 10.46565/jreas.2022.v07i01.004
Mohamed EL-SAYED M. SAKR, Mohamed A. MOUSTAFA HASSAN
Satellite tracking control system is a control unit which automatically steers the parabolic antenna to the desired satellite. It precisely traces the satellite as it Spins in its orbit across the sky. In order to maintain continuous communication signal during multiple satellite tracking missions, the tracking process must be very fast and smooth with minimum deviations from the desired position. Over time, various controller models have been proposed to tackle the problem of antenna pointing in satellite as well as to track moveable targets utilizing servomechanism. This paper aims to present and discuss satellite tracking control system based on DC servo motor. Particle Swarm Optimization (PSO), Adaptive Weighted Particle Swarm Optimization (AWPSO), Adaptive Acceleration Coefficients Particle Swarm Optimization (AACPSO), Modified Adaptive Accelerated Coefficients Particle Swarm Optimization (MAACPSO), Crazy Particle Swarm Optimization (C-PSO), Phasor Particle Swarm Optimization (PPSO),Gravitational Search Algorithm with Particle Swarm Optimization (GSA-PSO) and Eagle Strategy with Particle Swarm Optimization (ES-PSO) are proposed for optimal tuning of Proportional-Integral-Derivative (PID), Fuzzy PID (FPID), Variable Coefficient PID (V-PID), Fractional Order PID (FOPID) and Variable Coefficient Fractional Order PID (V-FOPID) controllers in satellite control system. Performance Index measured using Integral Based Objective Functions and Dynamic Performance Indices Based Objective Functions. Also, Self-Tuning Fuzzy PID (STF-PID) controller and Self-Tuning Fuzzy FOPID (STFFOPID) are proposed for satellite tracking control system. The system and control strategies designed and simulated in MATLAB & SIMULINK. The response of the system is analyzed, and the results of different control strategies are measured and compared with others. The obtained results implies that the proposed (V-FOPID) controller is able to track the desired position precisely with the fastest settling time and free overshoot compared to other
卫星跟踪控制系统是将抛物面天线自动导向目标卫星的控制单元。它精确地追踪卫星在天空中绕轨道旋转的轨迹。为了在多次卫星跟踪任务中保持连续的通信信号,跟踪过程必须非常快速和平稳,与期望位置的偏差最小。随着时间的推移,人们提出了各种各样的控制器模型来解决卫星天线指向问题以及利用伺服机构跟踪可移动目标。本文旨在介绍和讨论基于直流伺服电机的卫星跟踪控制系统。粒子群优化(PSO)、自适应加权粒子群优化(AWPSO)、自适应加速系数粒子群优化(AACPSO)、改进自适应加速系数粒子群优化(MAACPSO)、疯狂粒子群优化(C-PSO)、针对卫星控制系统中比例-积分-导数(PID)、模糊PID (FPID)、变系数PID (V-PID)、分数阶PID (FOPID)和变系数分数阶PID (V-FOPID)控制器的最优整定,提出相量粒子群算法(PPSO)、重力搜索粒子群算法(GSA-PSO)和鹰策略粒子群算法(ES-PSO)。使用基于积分的目标函数和基于目标函数的动态性能指标测量性能指标。同时提出了自整定模糊PID (STF-PID)控制器和自整定模糊FOPID (STFFOPID)控制器。在MATLAB和SIMULINK中对系统和控制策略进行了设计和仿真。分析了系统的响应,测量了不同控制策略的结果,并与其他控制策略进行了比较。结果表明,与其他控制器相比,所提出的(V-FOPID)控制器具有最快的稳定时间和自由超调,能够精确地跟踪所需位置
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引用次数: 1
AERODYNAMIC AND EXPERIMENTAL INVESTIGATION ON A DELTA WING INCORPORATED WITH WINGLETS AT DIFFERENT ANGLES 带不同角度小翼的三角翼气动与实验研究
Pub Date : 2022-01-21 DOI: 10.46565/jreas.2022.v07i01.001
Bilji C Mathew, P. Dutta, Rushikesh R Savale, Sagar K Sahu
Delta wing has numerous applications across aerospace vehicles. Highly inclined and variable swept back wings have a lot of added advantages in maneuverable fighter airplanes, supersonic cruise airliner; and modern unmanned aerial vehicles that have been equipped with and have deployed low swept back delta wings. Vortex flow across these delta wings is dominant for micro aerial vehicles and mini unmanned aerial vehicles flying at a low speed Reynolds number regime. Many experiments were carried out to study and analyze the aerodynamic flow parameters of delta wings wherein vortex sheet flow patterns were observed and studied at different angles of attack and flow parameters. In this paper we are plotting lift co-efficient and drag coefficient for a flat delta wing with and without winglets at different angles of attack under low Reynolds numbers. Furthermore, simulations are carried out to draw comparisons between the winglets on the basis of span-wise flow velocity vectors.
三角翼在航空航天飞行器上有着广泛的应用。大倾角可变后掠翼在机动战斗机、超音速巡航客机中具有许多附加优势;现代无人驾驶飞行器已经装备并部署了低后掠三角翼。在低速雷诺数状态下飞行的微型飞行器和微型无人驾驶飞行器在三角翼上的涡旋流动占主导地位。为了研究和分析三角翼的气动流动参数,进行了大量的实验,观察和研究了不同迎角和流动参数下的涡片流型。本文绘制了低雷诺数下带小翼和不带小翼的平板三角翼在不同迎角下的升力系数和阻力系数。在此基础上,基于跨流速度矢量进行了仿真比较。
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引用次数: 0
MULTI-STORY AND INTELLIGENT CAR PARKING SYSTEM 多层智能停车场系统
Pub Date : 2022-01-21 DOI: 10.55083/irjeas.2022.v10i01003
Aaradhna Soni
Abstract— The proposed work implements a 8 bit controller based multi-storey car parking system. This work aimed to make the current vehicle parking technique increasingly advantageous, easy to use, programmed and least human mediation. The central part of this system is a 8 bit microcontroller which takes care of parking and exit of vehicles. There are totally 3 floors (floor 0, 1 and 2) each containing 8 slots (slot 0 to slot 7) for parking of cars. Cars are carried to the available free slots in any floor by means of 2 motors controlled by the P89v51rd2(8051 microcontroller). LCD displays the user instructions, messages and status of the system at different conditions. Keypad is provided for entering parking or taking out option. One IR sensor is used to detect the floor number by sensing the IR signal from the IR transmitters located in each floor. The user is provided with the facility of pre-booking or reservation of slots using GSM (Global System for Mobile Communications).
摘要:本课题实现了一个基于8位控制器的多层停车场系统。这项工作旨在使当前的车辆停放技术越来越有利,易于使用,程序化和最少的人为干预。该系统的核心部分是一个8位微控制器,负责车辆的停车和出口。共3层(0层、1层、2层),每层有8个车位(0 ~ 7号车位)用于停车。通过由P89v51rd2(8051微控制器)控制的2个电机,汽车被运送到任何楼层的可用空闲槽。LCD显示用户指令、消息和系统在不同条件下的状态。设有键盘,供进入停车场或取出选择。一个红外传感器通过感应每层红外发射机发出的红外信号来检测楼层号。为用户提供使用GSM(全球移动通信系统)预先预订或预订时段的便利。
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引用次数: 0
期刊
International Journal of Research in Engineering and Applied Sciences
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