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Geology, Petrographic Characteristics and Tectonic Structure of Paleoproterozoic basement of Kabul Block (North Eastern Afghanistan), Initial Findings 阿富汗东北部喀布尔地块古元古代基底地质、岩石学特征及构造构造初步发现
Pub Date : 1900-01-01 DOI: 10.36287/ijmsit.6.1.117
Gürsel Kansun, A. Afzali
– The Paleoproterozoic basement of Kabul Block is a cratonic basement in north eastern Afghanistan. Precambrian Kabul Block including metamorphic rocks only takes place at the base of the study area. The Neo-Proterozoic Welayati formation overlies the Paleo-Proterozoic Sherdarwaza formation with a tectonic contact, and they both overlay Khair Khana formation. In the region, Alghoi meta granitoid intruded into both Khair Khana and Sherdarwaza formations. The Khair Khana formation contains of granulites, granitic gneisses ve amphibolites. The mineral assemblages of granulites are plagioclase + quartz + K-feldspar + orthopyroxene + clinopyroxene (diopside/augite). Granitic gneisses are observed as hornblende gneiss, garnet-biotite gneiss and pyroxene-gneiss. Hornblende-gneisses include hornblende + quartz + K-feldspar mineral assemblage, garnet-biotite gneisses ± ilmenite ± monazite mineral assemblage. Garnet-mica schists and kyanite-garnet-mica schists include quartz + plagioclase + biotite + muscovite + kyanite + garnet ± chlorite ± apatite ± tourmaline ± sphene ± rutile. In garnet-muscovite schists, muscovite + quartz + plagioclase + garnet ± tourmaline ± apatite ± zircon are observed. The granulites in Kabul Block are together with granite gneisses, and they can be separated under one formation. Granulites show different mineral compositions, Usually, they are without garnet, in some cases they include garnet. The amount of plagioclase is higher in them according to other rocks. In some cases, the composition of granulites is very similar to that of quartz mangarites that indicates high temperature and pressure of the metamorphism process and shows that this block is related to a segment of Columbia and Rodinia supercontinents during Paleoproterozoic collisional events.
—喀布尔地块古元古代基底是阿富汗东北部的一个克拉通基底。包括变质岩的前寒武纪喀布尔地块仅在研究区底部发育。新元古代的Welayati组与古元古代的Sherdarwaza组有构造接触,两者均覆盖在Khair Khana组上。在该地区,Alghoi变质花岗岩类侵入了Khair Khana组和Sherdarwaza组。Khair Khana组含麻粒岩、花岗质片麻岩和角闪岩。麻粒岩矿物组合为斜长石+石英+钾长石+正辉石+斜辉石(透辉石/辉长石)。花岗质片麻岩主要有角闪片麻岩、石榴黑云母片麻岩和辉石片麻岩。角闪石-片麻岩包括角闪石+石英+钾长石矿物组合、石榴石-黑云母片麻岩±钛铁矿±独居石矿物组合。石榴石-云母片岩和蓝晶石-石榴石-云母片岩包括石英+斜长石+黑云母+白云母+蓝晶石+石榴石±绿泥石±磷灰石±电气石±榍石±金红石。石榴石-白云母片岩中,白云母+石英+斜长石+石榴石±电气石±磷灰石±锆石。喀布尔地块麻粒岩与花岗片麻岩在一起,可分离成一组。麻粒岩的矿物组成不同,通常不含石榴石,也有含石榴石的。与其他岩石相比,斜长石的含量较高。麻粒岩的部分成分与石英锰辉石非常相似,表明该地块在古元古代的高温高压变质过程中与哥伦比亚和罗迪尼亚超大陆的一段碰撞事件有关。
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引用次数: 0
Modeling Naval Mine Warfare with Machine Learning Algorithms 用机器学习算法建模水雷战
Pub Date : 1900-01-01 DOI: 10.36287/ijmsit.7.1.20
Hakan Akyol, Ragıp Zilci, Caner Taban
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引用次数: 0
Nesnelerin İnterneti Cihazlarına Karşı Yapılan Makine Öğrenmesi Saldırıları
Pub Date : 1900-01-01 DOI: 10.36287/ijmsit.6.1.23
A. Ergun, Özgü Can
Extended Abstract As the number of Internet of Things (IoT) devices increases day by day, attacks against these devices are also increasing. In this study, methods of ensuring security in IoT devices and attacks on IoT devices are discussed, and the importance of zero-trust architecture in ensuring IoT security is explained. In addition, the defense rates of padding methods against machine learning used by the attacker are shown and the defense methods used with machine learning techniques are explained. For this purpose, machine learning methods that are effective on attacks, attacks and violations that are achieved by machine learning techniques are specified. In addition, the effectiveness of machine learning techniques in classifying IoT devices in encrypted traffic is examined. The effectiveness of Random Forest and Decision Tree classification algorithms in classifying IoT devices are evaluated. Finally, experiments are carried out for commonly used attack and defense methods. For this purpose, the accuracy rates of the padded and unpadded experiments are compared by analyzing the IoT device traffic. When classifying unpadded data, 84% accuracy rate of IoT devices is achieved, while this accuracy rate has been reduced to 19% with the random padding method that aims to reduce the attacker's rate of accessing correct information.
随着物联网(IoT)设备数量的日益增加,针对这些设备的攻击也越来越多。在本研究中,讨论了确保物联网设备安全的方法和对物联网设备的攻击,并解释了零信任架构在确保物联网安全中的重要性。此外,还显示了填充方法对攻击者使用的机器学习的防御率,并解释了机器学习技术使用的防御方法。为此,指定了对通过机器学习技术实现的攻击、攻击和违规有效的机器学习方法。此外,还研究了机器学习技术在加密流量中对物联网设备进行分类的有效性。评估了随机森林和决策树分类算法在物联网设备分类中的有效性。最后,对常用的攻防方法进行了实验。为此,通过分析物联网设备流量,比较填充和未填充实验的准确率。在对未填充的数据进行分类时,物联网设备的准确率达到84%,而随机填充方法的准确率降低到19%,旨在降低攻击者访问正确信息的几率。
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引用次数: 0
Hybrid Estimation Model (CNN-GRU) Based on Deep Learning for Wind Speed Estimation 基于深度学习的混合估计模型(CNN-GRU)风速估计
Pub Date : 1900-01-01 DOI: 10.36287/ijmsit.6.1.104
Cem Emeksiz, Muhammed Musa Fındık
– Nowadays, the need for energy is increasing day by day. In order to meet this demand, renewable energy sources that have a more environmentally friendly structure than fossil-based sources come to the fore. In recent years, researchers have been paying great attention to wind energy. Because it has the many economic and environmental advantages. In particular, wind speed is very important parameter for electric energy production form wind energy. Therefore, estimation of wind speed is very important for both investors and manufacturers. A hybrid model for wind speed estimation with deep learning methods is proposed in this study. The proposed model consists two main deep learning methods (Convolutional Neural Networks (CNN) and Gated Recurrent Unit (GRU)). The proposed model was applied in two case studies (weekly and monthly wind speed estimation). The reliability and accuracy of the proposed model were tested by performance criteria (MAPE, R 2 , RMSE). In order to measure the success of the model, a comparison was made with 5 different deep learning methods (CNN-LSTM, CNN-RNN, LSTM-GRU, LSTM, GRU). It has been observed that the CNN-GRU hybrid model, which was used for the first time in the field of wind speed forecasting, achieved a high percentage of success as a result of comparisons made.
现在,对能源的需求日益增加。为了满足这一需求,结构比化石能源更环保的可再生能源应运而生。近年来,研究人员对风能非常关注。因为它具有许多经济和环境优势。特别是风速是风能发电的重要参数。因此,风速的估算对于投资者和制造商来说都是非常重要的。本文提出了一种基于深度学习方法的混合风速估计模型。该模型由两种主要的深度学习方法(卷积神经网络(CNN)和门控循环单元(GRU))组成。该模型应用于两个案例研究(每周风速估算和每月风速估算)。采用性能标准(MAPE、r2、RMSE)对模型的可靠性和准确性进行了检验。为了衡量模型的成功与否,我们与5种不同的深度学习方法(CNN-LSTM、CNN-RNN、LSTM-GRU、LSTM、GRU)进行了比较。经比较,首次应用于风速预报领域的CNN-GRU混合模式取得了较高的成功率。
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引用次数: 0
Nikel-Metal Hidrit Pilinin Aşırı Şarj Durumuna Elektrokimyasal Empedans Spektroskopisi Cevabı
Pub Date : 1900-01-01 DOI: 10.36287/ijmsit.6.2.218
E. Ince, Salim Erol
In this study, open circuit potential, impedance measurements in the frequency range of 10 kHz – 10 mHz at different potentials including overcharge
在本研究中,开路电位、阻抗测量在10khz - 10mhz频率范围内的不同电位包括过充
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引用次数: 0
Compression Featured Lock Design Compatible for Outdoor Conditions 压缩功能锁设计兼容室外条件
Pub Date : 1900-01-01 DOI: 10.36287/ijmsit.6.2.177
M. Can, Engin Güneş, A. Akdoğan
– The aim of our paper is to present the development proses of a locking mechanism that may act as each a hinge and a lock, compresses the gaskets between the panel and the door at least 6 mm, helps to supply controlled air outlet and will increase the protection level. Thanks to the compression feature of the product, the novel designed mechanism could be tightened the cabinet by the cabinet gaskets. It provides IP65 sealing standard requirements. Thus, it can be used in outdoor environments in safe. Since this mechanism be developed more, it can be used in ventilation, generator, and plenty of different sectors. It has a high potential to lead to new applications and R&D studies in numerous technology fields.
-我们论文的目的是介绍一种锁定机构的开发过程,这种锁定机构可以作为铰链和锁,将面板和门之间的垫圈压缩至少6毫米,有助于提供受控的出风口,并提高保护水平。由于产品的压缩特性,设计的新机构可以通过机柜垫片紧固机柜。它提供IP65密封标准要求。因此,它可以安全地在室外环境中使用。由于该机构的发展较多,可用于通风、发电机等许多不同的行业。它在许多技术领域具有很高的应用和研发研究潜力。
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引用次数: 0
Kolay Kişiselleştirilebilir Akıllı Sanal Asistan
Pub Date : 1900-01-01 DOI: 10.36287/ijmsit.6.2.143
Güneş Harman, Emre Aydemir
Research Problem/Questions – Virtual smart assistants are software with the ability to answer questions. In this article, as a research topic, an answer was sought about how a virtual smart assistant can be developed easily. In response to this question, it is explained how to answer the user's question by using the Regex patterns solution
研究问题/问题——虚拟智能助手是具有回答问题能力的软件。本文作为研究课题,对如何轻松开发虚拟智能助手进行了探讨。针对这个问题,解释了如何通过使用Regex模式解决方案来回答用户的问题
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引用次数: 0
Display Of Zoning Diameter According To The Distance Approach On Separate Organizatiom Zoning Islands 独立组织分区岛上按距离法分区直径的显示
Selim Taskaya
– In our country, activities are carried out under the title of zoning studies in order to make an area suitable for holistic living standards. There is a hierarchy in the formation of zoning plans from the upper scale of the country development plans to the lower scale, which are the implementation zoning plans. Along with this hierarchy, in the 1/1000 zoning plans, especially the people living in a region, housing, shopping, social activity, etc. zoning islands are determined within the zoning boundaries determined to meet the needs. Zoning islands can have different building regulations, precedent or building heights. There are possible building regulations within the zoning boundaries, where there may be different types of sitting areas, such as split, block and adjacent basis. On the other hand, the form of a separate zoning island is that the garden-looking building session is given in the middle without being attached to a depth or to the façade. The process of granting construction permits to the existing zoning parcels in the zoning islands, whose identities are determined by this building regulation, is the zoning scale. Zoning diameters, planned areas are given within the framework of type zoning regulations and plan notes. The zoning diameter is given according to the precedent, height and building order of the island. Distance method, on the other hand, is the process of creating the right residential area with the drawing rules of convex shapes, such as square or rectangular, according to the geometric condition of the parcel, in order to be able to give construction permits to the clean zoning parcels in the relevant zoning islands. In our study, it has been tried to show how the settlement areas at the base can be given, which building order, which precedent and how to apply the process to the convex parcels with the distance approach. Approach On Separate Organizatiom
-在我国,在分区研究的标题下开展活动,以便使一个地区适合整体生活水平。分区规划的形成是有层次的,从上层的国家发展规划到下层的实施分区规划。伴随着这种层次结构,在1/1000的分区规划中,特别是在一个区域内居住的人、住房、购物、社会活动等分区岛屿都是在分区边界内确定的,以满足需求。分区岛屿可以有不同的建筑法规、先例或建筑高度。在分区边界内可能存在建筑法规,其中可能存在不同类型的休息区,例如分割,块体和相邻基础。另一方面,独立分区岛的形式是花园外观的建筑区域位于中间,而不依附于深度或立面。向分区岛屿中现有的分区地块授予建筑许可的过程,其身份由本建筑法规确定,是分区规模。分区直径、规划区域在类型分区法规和规划说明的框架内给出。分区直径根据岛屿的先例、高度和建筑顺序给出。另一方面,距离法是根据地块的几何条件,用方形或矩形等凸形状的绘图规则创建合适的居住区的过程,以便能够在相关分区岛屿上为干净的分区地块提供施工许可。在我们的研究中,我们试图用距离的方法来说明如何给出基地的沉降区域,什么样的建筑顺序,什么样的先例,以及如何将这个过程应用到凸地块上。关于独立组织的方法
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引用次数: 0
Generating Personalized Abstract Art Paintings by using People's Life Energy Distribution 利用人的生命能量分布生成个性化的抽象艺术绘画
Furkan Ayas, Feriştah Dalkılıç
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引用次数: 0
Weeds Detection using Deep Learning Methods and Dataset Balancing 基于深度学习方法和数据集平衡的杂草检测
Pub Date : 1900-01-01 DOI: 10.36287/ijmsit.6.1.19
Fadıl Arıkan, Şebnem Bora, Aybars Uğur
– Weeds have detrimental effects on agriculture and prove costly for farmers because they can quickly spread to fertile areas and reduce the fertility of the soil. Therefore, weed control is crucial for sustainable agriculture, and by detecting weeds and removing them from agricultural lands, we can transfer the limited resources we have to the plants to be grown, which would be a major step forward in sustainable agriculture. This article explores the feasibility of weed detection methods using deep learning architectures. Architectures used in the research are as follows: ResNet152V2, DenseNet121, MobileNetV2, EfficientNetB1 and EfficientNetB7. The F1-Score of EfficientNetB1 is 94.17%, which is the highest score among those of all architectures. Among all architectures, EfficientNetB1 has the least number of parameters after MobileNetV2. In this research, data augmentation was done using horizontal flip, rotation, width shift, height shift, and zoom.
杂草对农业有不利影响,对农民来说代价高昂,因为它们能迅速蔓延到肥沃地区,降低土壤的肥力。因此,杂草控制对可持续农业至关重要,通过检测杂草并将其从农业用地上清除,我们可以将有限的资源转移到需要种植的植物上,这将是可持续农业的重要一步。本文探讨了使用深度学习架构的杂草检测方法的可行性。本研究使用的架构如下:ResNet152V2、DenseNet121、MobileNetV2、EfficientNetB1和EfficientNetB7。效率netb1的F1-Score为94.17%,是所有架构中得分最高的。在所有架构中,EfficientNetB1的参数数量仅次于MobileNetV2。在本研究中,数据增强使用水平翻转、旋转、宽度移动、高度移动和缩放来完成。
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引用次数: 1
期刊
International Journal of Multidisciplinary Studies and Innovative Technologies
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