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Agriculture Crop Yield Analysis and Prediction using Feature Selection based Machine Learning Techniques 基于特征选择的机器学习技术的农作物产量分析与预测
Pub Date : 2022-12-30 DOI: 10.35940/ijeat.b3942.1212222
D. R. Kanth, B. Kavya, Narameta Thanuja Sri, A. Saikrishna
Agriculture is being the world's largest industry; it plays a major role in maintaining the economic stability of developing countries. Because of the responsibilities that this sector bears, it is critical to find the precision of production in making profitable decisions in agricultural sector. Machine learning is the most effective tool for making decisions. Machine learning techniques with correct optimizations have been utilized in conjunction with the use of multiple algorithms and create an accurate model for predicting production and also in guiding to improve crop cultivation for enhanced output. The elements like cost of cultivation, cost of production, and yield are utilized to predict the crop yield during the analysis. In this study, the necessary data was acquired, and the methodologies and features employed in agricultural yield analysis were studied. During the literature survey more than 50 articles were referred for analysis. Relevant topics were collected from electronic databases and found useful machine learning approaches with which desired model was developed. Along with Random Forest, Decision Trees, and Support Vector Machine, Gaussian Nave Bayes, and Ada Boost machine learning techniques, Carl Pearson Correlation, Mutual Information, and Chi Square Feature Selection techniques were applied. The accuracy percentage for different algorithms was calculated crop yield prediction with and without feature selection approaches. We also used time complexities to figure out which method is the most efficient and accurate.
农业正在成为世界上最大的产业;它在维护发展中国家的经济稳定方面发挥着重要作用。由于该部门承担的责任,在农业部门做出有利可图的决策时,找到生产的准确性至关重要。机器学习是最有效的决策工具。正确优化的机器学习技术已与多种算法结合使用,并创建了一个准确的模型,用于预测产量,并指导改善作物种植以提高产量。在分析过程中,利用种植成本、生产成本和产量等因素来预测作物产量。本研究收集了必要的数据,并对农业产量分析的方法和特点进行了研究。在文献调查中,参考了50多篇文章进行分析。从电子数据库中收集相关主题,并找到有用的机器学习方法,用于开发所需的模型。除了随机森林、决策树、支持向量机、高斯朴素贝叶斯和Ada Boost机器学习技术外,还应用了卡尔·皮尔逊相关、互信息和卡方特征选择技术。计算了采用特征选择方法和不采用特征选择方法预测作物产量的准确率。我们还利用时间复杂度来找出哪种方法是最有效和准确的。
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引用次数: 0
MANETs: Challenges and Future Research Scope MANETs:挑战和未来的研究范围
Pub Date : 2022-12-30 DOI: 10.35940/ijeat.b3952.1212222
Tanay Jaiswal, N. R. Kidwai
MANET (Mobile Ad hoc Network) is an ad hoc network that may be constructed on demand. Due to its dynamic nature, it allows nodes in the network to communicate with each other without the use of any infrastructure. When compared to conventional wireless networks, MANET's on-demand setup makes it more popular. Conventional wireless networks require a central authority for overall system operations, while MANET is an infrastructure-less and self-organized network that is generally a wise choice when it comes to certain application areas like military operations, communication in natural disasters, man-made emergencies, rescue procedures, and vehicular ad hoc network (VANET) for sharing information among vehicles as well as providing traffic conditions and warnings. This new network, however, faces several challenges and difficulties, including compromised security, routing issues, cooperation, multicasting, power efficiency, IP addressing, QoS etc., that must be properly taken care of before it can be deployed in real-time. The current paper provides a full analysis of MANET, including its problems, concerns, and possible research topics, which will be very useful for academics who want to begin their work on this subject.
MANET(移动自组网)是一种可以按需构建的自组网。由于其动态特性,它允许网络中的节点在不使用任何基础设施的情况下相互通信。与传统的无线网络相比,MANET的按需设置使其更受欢迎。传统的无线网络需要一个中央机构来进行整个系统的操作,而MANET是一个无基础设施和自组织的网络,通常是一个明智的选择,当涉及到某些应用领域,如军事行动、自然灾害中的通信、人为紧急情况、救援程序和车辆自组织网络(VANET),用于在车辆之间共享信息以及提供交通状况和警告。然而,这种新网络面临着一些挑战和困难,包括安全性、路由问题、合作、多播、功率效率、IP寻址、QoS等,这些都必须在实时部署之前妥善处理。本文对MANET进行了全面的分析,包括它的问题、关注点和可能的研究主题,这对于想要开始研究这一主题的学者来说非常有用。
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引用次数: 0
Performance Analysis of Thermoelectric Cooling with Thermal Control Battery System for Electric Vehicle 电动汽车热控电池热电冷却系统性能分析
Pub Date : 2022-12-30 DOI: 10.35940/ijeat.b3871.1212222
Dodiya Sahil Tasilbhai
A promising type of green transport, lithium battery-powered electric cars (EVs) have attracted a lot of attention and interest in the current years. In this study, thermoelectric cooling with forced convection was designed and possible cooling method for a thermal control battery system. Compared to free convection cooling, air cooling and TEC cooling appear TEC is the leading cooling work. Conditional tests are done on created battery thermal control battery system for EV automobile vehicles. The advanced battery thermal control battery can be a combination of TE Cooling, air cooling, and liquid cooling. There's Unobserved contact of the liquid coolant that acts as a medium to carry absent the thermally created from the battery with and amid the battery continuing. The outcome saws a promising cooling impact with a reasonable amount of energy wastage. The outcomes show that the ambient temperature is 32.5 to 30.5 and inlet temperature is 24.8 to 17.1 and then find out 2nd inlet temperature is between 13.9 to 6.4, and then after finding the lowest COP is 0.20. So, Thermoelectric cooling is the best option as compared to a simple VCRs system
锂电池驱动的电动汽车是一种很有前途的绿色交通工具,近年来引起了人们的广泛关注和兴趣。本文设计了一种热控电池系统的强制对流热电冷却方法。与自由对流冷却、空气冷却和TEC冷却相比,TEC冷却是主导的冷却工作。对电动汽车用蓄电池热控系统进行了条件试验。先进的电池热控电池可采用TE冷却、风冷、液冷相结合的方式。液体冷却剂的接触是不被观察到的,它作为一种媒介,在电池继续工作的过程中,携带电池产生的热量。结果表明,在合理的能源浪费量下,冷却效果很有希望。结果表明,环境温度为32.5 ~ 30.5,进口温度为24.8 ~ 17.1,然后发现第二进口温度为13.9 ~ 6.4,然后找到最低COP为0.20。因此,与简单的录像机系统相比,热电冷却是最好的选择
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引用次数: 0
Low Fuel or Energy Alert System for Automobiles using Accelerometer Data 使用加速度计数据的汽车低燃料或能源警报系统
Pub Date : 2022-12-30 DOI: 10.35940/ijeat.b3940.1212222
A. Khatkhate, Jugal Jagtap, Ameya Nadkarni
The focus of this paper is to develop a system which works on the real time data acquired by accelerometer ADXL345 as well as that from a smartphone mounted on the dashboard of the vehicle and calculates the amount of fuel consumed which is conveyed to the user. The algorithm is validated on 4 trips conducted around the Rizvi College campus and the results are found to be accurate. The algorithm works in real-time and can be implemented on any web interface to alert the driver via map-based navigation tools or to connect the driver to nearby local fuel supply stations. Similar activity will be carried out on vehicle batteries to estimate remaining useful battery life.
本文的重点是开发一个系统,该系统可以根据加速度计ADXL345和安装在汽车仪表板上的智能手机获取的实时数据,计算出传输给用户的燃油消耗量。该算法在里兹维学院校园周围进行了4次测试,结果证明是准确的。该算法是实时工作的,可以在任何网络界面上实现,通过基于地图的导航工具提醒司机,或者将司机连接到附近的当地加油站。将对汽车电池进行类似的活动,以估计剩余的有效电池寿命。
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引用次数: 0
Displacement Behavior of Single-lap Joints Made from Functionally Graded Polymeric Materials 功能梯度聚合物材料单搭接接头的位移行为
Pub Date : 2022-12-30 DOI: 10.35940/ijeat.b3949.1212222
Dr. Mine Uslu Uysal
For adhesively bonded joint security and long-term use of the joint, a precise stress analysis must be performed on single-lap joints. A single-lap joint, formed by joining two layers at a given lap length, is the most widely used adhesive joint type in practice. Nowadays, it is stated that the mechanical properties and joint strength can be increased by adding clay and graphite to the polymeric material used in single-lap joints, trying to estimate the joint strength for various loading conditions. This paper focuses on the bending moment behavior of a single-lap joint composed of newly designed functionally graded polymeric materials (FGPMs). For this purpose, the single-lap joint geometry subject to a bending moment is discussed. However, it is assumed that the bonded beams in the connection are composed of FGPMs. The beams are modeled using a new recently developed FGPMs. FGPMs forming the glued beams was obtained by adding PAM 96/98 and PV 60/65 graphite powders in epoxy resin at 3%, 6%, 9% and 12% volume ratios. The effects of graphite type and graphite volume ratio on maximum displacements were investigated in the joint subjected to bending moment. In addition, peeling stress (σy), Shear stress (τxy) and also von-Mises stress (σvon) occurring in the mid-plane of adhesive layer with PAM 96/98 and PV 60/65 graphite powder added were determined for each volume ratio and presented in graphs.
为了保证粘接接头的安全性和长期使用,必须对单搭接接头进行精确的应力分析。单搭接是由两层按一定搭接长度连接而成的,是实践中应用最广泛的粘接类型。目前,有人提出在单搭接材料中加入粘土和石墨可以提高其力学性能和接头强度,并尝试估算不同载荷条件下的接头强度。研究了新设计的梯度功能高分子材料(fgpm)单搭接接头的弯矩行为。为此,讨论了受弯矩作用的单搭接几何结构。但是,假设连接中的粘结梁由fgpm组成。采用最新开发的fgpm对光束进行建模。在环氧树脂中分别以3%、6%、9%和12%的体积比添加PAM 96/98和PV 60/65石墨粉,制备了FGPMs。研究了受弯矩作用下,石墨类型和石墨体积比对接头最大位移的影响。测定了PAM 96/98和PV 60/65石墨粉在不同体积比下粘接层中层发生的剥离应力(σy)、剪切应力(τxy)和冯-米塞斯应力(σvon),并以图形表示。
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引用次数: 0
Urban Renewal: A Need to Redefine and Rebuild the Old City Area – Case of Thane, Kalyan-Dombivali and Mira Bhayander 城市更新:旧城区重新定义与重建的需要——以Thane、Kalyan-Dombivali和Mira Bhayander为例
Pub Date : 2022-10-30 DOI: 10.35940/ijeat.a3831.1012122
Janhavi Rajeev Korde, Digvijay Sanjay Deshmukh, Sagar B. Pawar
Urban renewal initiatives play an important role in achieving the targets of making human settlements and cities safe, inclusive, resilient and sustainable. Urban Renewal in India is a comprehensive presentation of strategic, technical and theoretical aspects of urban areas. ‘Urban Renewal’ refers redevelopment of urban areas to ensure quality of life, growth of infrastructure, promotion of tourism. The paper describes the tools or approaches for urban renewal namely slum clearance, redevelopment and rehabilitation. To describe the urban renewal scenario in Mumbai Metropolitan Region cases of Thane, Kalyan-Dombivali and Mira Bhayandar are described.
城市更新倡议在实现使人类住区和城市安全、包容、有韧性和可持续的目标方面发挥着重要作用。《印度城市更新》是一本全面介绍城市地区战略、技术和理论方面的书。“城市更新”指的是对城市地区的再开发,以确保生活质量,发展基础设施,促进旅游业。本文描述了城市更新的工具或方法,即贫民窟清理、重建和修复。为了描述孟买大都市区的城市更新情景,本文描述了Thane、Kalyan-Dombivali和Mira Bhayandar的案例。
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引用次数: 0
Detecting Forged Images using Deep Learning 利用深度学习检测伪造图像
Pub Date : 2022-10-30 DOI: 10.35940/ijeat.a3792.1012122
Pranav Sharma, Pooja Santwani, Rachit Narula
This availability and requirement of data calls for the credibility and authenticity of the data. One such domain is images where tampering creates concern , leading to wide spread of misinformation and fake news. Images are transferred to initiate propagandas on social handles and other platforms. Most of these images are tampered from the authentic original content to allude people and miscommunicate malicious information. In this application, our main work is to modify the existing MobileNetV2 family of neural networks to a more relevant version, so that we can identify and differentiate tampered images from authentic images. We will further create our own convolutional neural network, to create an application which can help us to identify and differentiate tampered images from authentic images and compare our model with MobileNetV2.
这种数据的可用性和要求要求数据的可信性和真实性。其中一个领域是图像,篡改会引起关注,导致错误信息和假新闻的广泛传播。图片被转移到社交账号和其他平台上进行宣传。这些图片大多是从真实的原始内容中篡改出来的,用来影射人,误传恶意信息。在这个应用中,我们的主要工作是将现有的MobileNetV2系列神经网络修改为一个更相关的版本,这样我们就可以识别和区分篡改图像和真实图像。我们将进一步创建我们自己的卷积神经网络,创建一个应用程序,可以帮助我们识别和区分篡改图像和真实图像,并将我们的模型与MobileNetV2进行比较。
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引用次数: 0
Fighter Aircraft Detection using CNN and Transfer Learning 使用CNN和迁移学习的战斗机检测
Pub Date : 2022-10-30 DOI: 10.35940/ijeat.a3854.1012122
Motati Dinesh Reddy, Sai Venkata Rao Kora, Gnana Samhitha Ch
In this work, Deep learning techniques such as Convolutional Neural networks (CNN) and Transfer Learning are used to detect and identify Fighter aircraft or jets. A dataset consisting of 21 different aircraft with 20000 images is being processed using the above algorithms. CNN works on the principle of "pooling," which progressively reduces the spatial size of the model to decrease the number of parameters and computations in the network. CNN's are widely used for image detection in different domains, including defense, agriculture, business, face recognition technology, etc. Transfer learning is a machine learning method where a model created for a task is reused as the initial point for a model on a second task. Transfer learning is related to issues such as multi-task learning and concept drift and is not only an area of study in deep learning. The dataset is processed and uses python libraries such as pandas, seaborn, sci-kit- learn, etc., to find any pre-trained patterns and insights. Data is separated into train and test datasets with 80-20 percent of total data, respectively. A model is built using the TensorFlow library for CNN. The metric used is "accuracy." A transfer learning model is also built to compare the accuracy results and adopt the best-fitting one
在这项工作中,使用卷积神经网络(CNN)和迁移学习等深度学习技术来检测和识别战斗机或喷气式飞机。使用上述算法处理由21架不同飞机和20000张图像组成的数据集。CNN的工作原理是“池化”,即逐步减小模型的空间大小,以减少网络中参数和计算的数量。CNN被广泛用于不同领域的图像检测,包括国防、农业、商业、人脸识别技术等。迁移学习是一种机器学习方法,其中为任务创建的模型被重用为第二个任务的模型的初始点。迁移学习涉及到多任务学习和概念漂移等问题,它不仅仅是深度学习的一个研究领域。数据集经过处理并使用python库(如pandas, seaborn, sci-kit- learn等)来查找任何预训练的模式和见解。数据被分为训练数据集和测试数据集,分别占总数据的80- 20%。使用TensorFlow库为CNN构建模型。使用的度量标准是“准确性”。建立迁移学习模型,比较准确率结果,并采用最优拟合结果
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引用次数: 0
Hybrid Cryptosystem Ensuring CIA Triad 混合密码系统确保CIA三位一体
Pub Date : 2022-10-30 DOI: 10.35940/ijeat.a3841.1012122
P. Swapna, S. Fazila, K. Naik, G. A. Vani, B. Reddaiah
Any untoward incident occurs while transmitting data digitally may lead to threats whenever the data is transmitted to malicious destination unknowingly, there arises a question of data integrity. In this scenario cryptography plays a crucial role in ensuring the users both confidentiality and integrity while transmitting of data over various network platform, supporting with the algorithms like AES, hashing etc., to ensure end user safety. In this paper, an improved hybrid cryptography system which is a combination of message digest and symmetric key algorithm is being incorporated. This proposed system provides confidentiality as well as integrity.
数据在数字化传输过程中发生的任何事故都可能导致威胁,当数据在不知情的情况下被传输到恶意目的地时,就会出现数据完整性问题。在这种情况下,在各种网络平台上传输数据时,密码学在确保用户的机密性和完整性方面起着至关重要的作用,它支持AES、哈希等算法,以确保最终用户的安全。本文提出了一种改进的混合密码系统,它是消息摘要和对称密钥算法的结合。这个提议的系统提供了保密性和完整性。
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引用次数: 0
Synthesis of Zirconia in Cement (Zir-Cem) and Study of Adsorption of EDTA on Zir-Cem 水泥中氧化锆(锆-铈)的合成及EDTA在锆-铈上的吸附研究
Pub Date : 2022-10-30 DOI: 10.35940/ijeat.a3153.1012122
A. Mishra, B. Panigrahi
The important problem to address in nuclear industries involves mitigation of the radioactive and corrosion products of nuclear reactor components. Even though physical and chemical methods lend a helping hand in solving this problem, the dominant method is by carrying out chemical cleaning. But this process results in the metal ions in complex state, not viable for treatment. To render the metal ions in the free state advanced oxidation process using oxidizing agents like ozone, Hydrogen peroxide, electro flotation, supercritical oxidation etc can be resorted . The decontaminating agents used are picolinic acid, EDTA, ascorbic acid, NTA etc. EDTA complex the metal ions but generate secondary waste with them. In our work, treatment of generated decontaminated waste using EDTA as decontaminant has been dealt with. From the literature, we understand that attempts have been made to degrade ethylene diamine tetraacetic acid using Fenton’s reagent in the presence of light [1]. This will facilitate the release of free radioactive ions for further treatment. In addition to chemical oxidation of EDTA, photochemical oxidation in presence of Zirconia and titania which generates electrons and positive ions for further oxidation has been reported [2]. In this paper, we have made an attempt to absorb the EDTA on zirconia loaded on white cement, study the adsorption characteristics which is the first step for photodegradation using UV light. Zirconium oxide was synthesized by the sol-gel method using Zirconium isopropoxide to water ratio 1:2 which resulted in powder by this process. This Powder was characterized for physical and chemical parameters before immobilizing with cement for adsorption. The system containing cement bonded to Zirconia (Zir-Cem) was subjected to removal of EDTA by adsorption. Since the zirconia powder as generated was found to have a high surface area compared to heat-treated (470oC and 720oC resulting in monoclinic and tetragonal crystalline forms) the as prepared zirconia was found to be the best candidate for efficient adsorption.
核工业中需要解决的重要问题涉及减少核反应堆部件的放射性和腐蚀产物。尽管物理和化学方法有助于解决这个问题,但主要的方法是进行化学清洗。但这一过程导致金属离子处于复杂状态,无法进行处理。为了使金属离子处于游离状态,可以采用臭氧、过氧化氢、电浮选、超临界氧化等氧化剂进行高级氧化。常用的去污剂有吡啶酸、EDTA、抗坏血酸、NTA等。EDTA能使金属离子络合,但会产生二次废物。在我们的工作中,已经处理了使用EDTA作为去污剂处理产生的去污废物。从文献中我们了解到,已经有人尝试在光照下使用Fenton试剂降解乙二胺四乙酸[1]。这将有助于释放游离放射性离子,以便进一步治疗。除了EDTA的化学氧化外,有报道称在氧化锆和氧化钛存在下光化学氧化产生电子和正离子进行进一步氧化[2]。本文尝试在白水泥上负载氧化锆吸附EDTA,研究其吸附特性,这是紫外光降解的第一步。以异丙酸锆与水的比例为1:2,采用溶胶-凝胶法制备氧化锆粉体。在用水泥固定吸附前,对该粉体进行了理化参数表征。将水泥与氧化锆(zr - cem)结合,通过吸附去除EDTA。由于所生成的氧化锆粉末被发现与热处理相比具有更高的表面积(470℃和720℃导致单斜晶和四方晶形式),因此所制备的氧化锆被发现是有效吸附的最佳候选者。
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引用次数: 0
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International Journal of Engineering and Advanced Technology
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