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Evaluation of Cohesive Soil Mixed With Fly Ash and Reinforced With Nylon Fibre 粉煤灰掺加尼龙纤维增强粘性土的性能评价
Pub Date : 2017-07-10 DOI: 10.21013/JTE.ICSESD201719
U. Gawande, Shubham Kanhake, Arjun Lahane, Prasanna Naghbhide
Black cotton soil is a expansive soil. And mostly found in Vidarbha region of Maharashtra, this soil is highly unstable and it should be stabilize for carry out construction work. Materials like fly ash, rise husk, nylon fiber are used to make soil stable. Addition of such material will increase the physical, chemical and engineering properties of soil. Some of the properties which are improved are CBR value, shear strength, liquidity index, plasticity index, unconfined compressive strength (UCS) and bearing capacity, etc. The main objective of this study was to evaluate the effect of fly ash in stabilization of Black cotton soil. Mainly UCS and other properties of soil were calculated. The tests were conducted on Soil-Fly Ash mixtures, by increasing the Fly Ash percentage in Black cotton soil like 25%, 50%, 75%, and 100%, and then the soil was tested on Soil-Fly Ash - Fibre mixture by adding the fiber in increasing order like 0.5%, 1%, 1.5%. Results were obtained for mixed proportion of 75% soil and 25% fly ash which has unconfined compressive strength of 173 KN/m2. And by adding 1% of nylon fiber in same proportion of soil – fly ash the unconfined compressive strength increased to 243.12 KN/m2. Increase in UCS value can help in reducing the thickness of earthen roads and pavements and increase the bearing capacity and shear strength of soil. With analysis of results it was found that the fly ash along with nylon fiber has good potential to be used as an additive for improving engineering properties of expansive soil.
黑棉土是一种膨胀土。这种土壤主要分布在马哈拉施特拉邦的Vidarbha地区,非常不稳定,应该稳定下来进行建筑工作。用粉煤灰、稻壳、尼龙纤维等材料使土壤稳定。这些物质的加入将提高土壤的物理、化学和工程性质。改善的性能包括CBR值、抗剪强度、流动性指标、塑性指标、无侧限抗压强度和承载力等。本研究的主要目的是评价粉煤灰对黑棉土的稳定作用。主要计算了土体的单轴力和其他性质。在黑棉土中分别添加25%、50%、75%、100%的粉煤灰混合料进行试验,然后在土壤-粉煤灰-纤维混合料中依次添加0.5%、1%、1.5%的纤维进行试验。结果表明,75%土+ 25%粉煤灰混合比例无侧限抗压强度为173 KN/m2。在土-粉煤灰中加入1%的尼龙纤维,其无侧限抗压强度达到243.12 KN/m2。提高UCS值有助于减小土路、路面厚度,提高土体承载力和抗剪强度。通过对试验结果的分析,发现粉煤灰和尼龙纤维作为一种改善膨胀土工程性能的添加剂具有良好的应用前景。
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引用次数: 0
A Feasibility Study of Supersonic Air Flow for Cooling Application 超音速气流用于冷却的可行性研究
Pub Date : 2017-07-10 DOI: 10.21013/JTE.ICSESD201717
P. Chavan, Ummid I. Shaikh
The theoretical study of steady, one-dimensional, isentropic, compressible fluid flow suggests that a convergent-divergent passage is required for accelerating a compressible fluid to supersonic velocities. It also reveals that along with pressure, temperature of the compressible fluid continuously decreases along the flow passage. Air is also a compressible fluid which is freely and abundantly available. Keeping these facts in mind the possibility of obtaining supersonic flow with the help of compressed air is first studied theoretically. A convergent divergent nozzle is designed and developed for obtaining supersonic flow of air. An experiment is carried out for various back pressures for verifying supersonic flow and measuring the exit temperature of air. It is observed that supersonic flow can be obtained with minimum back pressure of 1 bar. Exit temperature of air can be varied by changing the back pressure of the nozzle. Temperature drop of air as high as 18.23 0C could be obtained. These factors prove the potential of supersonic air jet as a good and environmentally friendly cooling medium especially for localized cooling applications.
对稳定的、一维的、等熵的、可压缩流体流动的理论研究表明,要使可压缩流体加速到超音速,需要一条收敛-发散通道。随着压力的增加,可压缩流体的温度沿流道不断降低。空气也是一种可压缩的流体,它是自由而丰富的。考虑到这些事实,首先从理论上研究了利用压缩空气获得超声速流动的可能性。为获得超声速气流,设计并研制了一种会聚发散喷管。为了验证超声速流动和测量空气出口温度,进行了不同背压下的实验。观察到,在最小背压为1bar时,可以获得超声速流动。通过改变喷嘴的背压,可以改变空气的出口温度。可获得高达18.23℃的空气降温。这些因素证明了超音速喷气机作为一种良好的环境友好型冷却介质的潜力,特别是在局部冷却应用中。
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引用次数: 0
Multipurpose Low Cost Table Machine 多用途低成本桌面机
Pub Date : 2017-07-10 DOI: 10.21013/jte.ICSESD201710
S. Shirbhate
The concept of this paper is to develop idea of multipurpose machine as by conducting various operation on same machine, using single operating system. Here, in this machine there is a electric motor which is connected to the pulleys driven by belt (more than one pulley for various speed). The pulley is connected with the shaft which rotate in circular motion and to this shaft circular tools are connected as per required operation as circular saw cuts wooden pieces, pipe cutter will cuts iron rod or iron hollow pipe, grinding circular wheel grinds the job, polishing wheel polishes the job etc. more types of tools and the operation can be done on the same machine. The idea of this machine is to motivate small scale house hold units for ex. Furniture making, office table, Chair, show case for wedding ceremony etc. with low cost machines with multipurpose operation done on same machine.
本文的思想是发展多用途机的思想,即在同一台机器上使用单一操作系统进行多种操作。在这里,在这台机器中有一个电动机,它与皮带驱动的滑轮相连(不同速度的多个滑轮)。滑轮与作圆周运动的轴连接,轴上按要求的操作连接圆形工具,如圆锯切割木片,管刀切割铁棒或铁空心管,砂轮磨削工件,抛光轮抛光工件等,多种工具可在同一台机器上完成。这台机器的想法是激励小型家庭单位,例如家具制作,办公桌子,椅子,婚礼仪式展示柜等,使用低成本的机器,在同一台机器上完成多用途操作。
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引用次数: 0
Three Dimensional MR Brain Image Reconstruction and Interactive Segmentation Based Tumor Region Extraction Using Active Contour Models 基于活动轮廓模型的三维磁共振脑图像重建和交互式分割肿瘤区域提取
Pub Date : 2017-07-10 DOI: 10.21013/JTE.ICSESD201727
Nikhil Gala, K. Desai
Magnetic resonance imaging (MRI) system projects the anatomical structures of brain onto spatial domain. Three-dimensional (3D) construction of brain tumor using several slides of MRI has always been of keen interest for diagnosis and for research purpose. This paper presents a three dimensional brain image reconstruction methodology which is very much helpful in predicting the depth of any abnormality in the image and also proposes an active contour based approach for the extraction of the abnormal (tumor) region. The extracted regions are modeled using Iso surface 3D view models.
磁共振成像(MRI)系统将大脑的解剖结构投射到空间域上。利用MRI多张载片构建脑肿瘤的三维结构一直是诊断和研究的热点。本文提出了一种三维脑图像重建方法,该方法有助于预测图像中任何异常的深度,并提出了一种基于活动轮廓的异常(肿瘤)区域提取方法。提取的区域使用Iso表面3D视图模型建模。
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引用次数: 0
Experimental Investigation of Combustion and Emission Characteristics of Variable Compression Ratio Compression Ignition Engine Using Cotton Seed Oil Biodiesel Blends 棉籽油生物柴油混合燃料变压缩比压缩点火发动机燃烧与排放特性实验研究
Pub Date : 2017-07-10 DOI: 10.21013/jte.ICSESD201704
B. Kale, V. Borikar, P. Hatwalne, V. Nimbalkar
The increasing demand of petroleum and its availability is inversely to each other. This gives the new area to researcher to find out the solution to this problem. This problem is also concern with socioeconomically issue; the solution should be acceptable to each one. The alternative fuels derived from vegetable are the keen area of research, which are economical, environment friendly and easily available. In this paper the cottonseed oil biodiesel blends is considered as fuel for variable compression ratio diesel engine. The combustion characteristics in terms of mass of fraction burnt is investigated for different compression ratio. The emission characteristics are also investigated in comparison with petroleum diesel without any modification in engine. The results are compatible with petroleum diesel.
不断增长的石油需求和石油的供应是成反比的。这给研究人员寻找解决这一问题的方法提供了新的领域。这个问题也涉及到社会经济问题;解决方案应该是双方都能接受的。从蔬菜中提取的替代燃料具有经济、环保、易得等优点,是目前研究的热点。本文研究了棉籽油生物柴油混合燃料作为变压缩比柴油机的燃料。在不同的压缩比下,研究了用燃烧分数质量表示的燃烧特性。并与未对发动机进行任何改造的石油柴油进行了排放特性比较。结果与石油柴油兼容。
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引用次数: 1
Light Weight Defense Mechanism Against Camera Based Attacks 针对摄像机攻击的轻量级防御机制
Pub Date : 2017-07-10 DOI: 10.21013/JTE.ICSESD201714
S. Deshpande, S. Pattalwar, Poonam B. Lohiya
A number of android security and privacy vulnerabilities have been exposed in past several years. However, the mobile malware and privacy leakage remain a big threat to mobile phone security and privacy. It has been observed that phone camera would become a traitor in such attacks by capturing photos or videos secretly. Secret photography is not only immoral but also illegal due to invasion of privacy. Phone users themselves could also become victims and if the phone camera is exploited by malicious spy camera app, it may cause serious security and privacy problems. Most of the existing mobile antivirus apps are unable to monitor such camera based attacks. Hence, we demonstrate two camera based attacks through our proposal namely, Remote controlled real time monitoring Attack like Screen unlocking Attack, SMS Attack. We also propose a light weight defense scheme as a countermeasure for the camera attacks that can protect android phones against harmful spy Camera attacks.
在过去的几年里,许多android安全和隐私漏洞被暴露出来。然而,手机恶意软件和隐私泄露仍然是手机安全与隐私的一大威胁。有人观察到,在这种攻击中,手机摄像头会秘密拍摄照片或视频,从而成为叛徒。偷拍不仅是不道德的,而且是非法的,因为侵犯了隐私。手机用户自己也可能成为受害者,如果手机摄像头被恶意间谍摄像头应用程序利用,可能会造成严重的安全和隐私问题。大多数现有的移动防病毒应用程序都无法监控这种基于摄像头的攻击。因此,我们通过我们的提案演示了两种基于摄像头的攻击,即远程控制实时监控攻击,如屏幕解锁攻击,短信攻击。我们还提出了一个轻量级的防御方案,作为摄像头攻击的对策,可以保护android手机免受有害的间谍摄像头攻击。
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引用次数: 1
Object Detection and Tracking in Discriminant Subspace 判别子空间中的目标检测与跟踪
Pub Date : 2017-07-10 DOI: 10.21013/JTE.V7.N3.P2
A. R, Manjunath Aradhya
Detection and tracking of moving objects in video is essential for many computer vision applications and it is considered as a challenging research issue due to dynamic changes in background, illumination, object size and shape. Many traditional algorithms fails to detect and track the moving objects accurately, this paper proposes a robust method, to detect and track moving objects based on the combination of background subtraction and Orthogonalized Fisher’s Discriminant (OFD). Background subtraction detects the foreground objects on subtracting frame by frame basis and updating the background model recursively. Orthogonalized Fisher’s Discriminant projects high dimensional data onto a one dimensional space with the highest recognizability, which speedup the detection and tracking process and also preserves the structure of the objects resulting high accuracy. The proposed method is tested on standard datasets with complex environments and experimental results obtained are encouraging.
视频中运动物体的检测和跟踪对于许多计算机视觉应用至关重要,由于背景、光照、物体大小和形状的动态变化,它被认为是一个具有挑战性的研究问题。许多传统算法无法准确地检测和跟踪运动目标,本文提出了一种基于背景减法和正交费雪判别(OFD)相结合的鲁棒检测和跟踪运动目标的方法。背景减法是在逐帧减法的基础上检测前景目标,并递归更新背景模型。正交化Fisher判别法将高维数据投影到具有最高识别率的一维空间上,加快了检测和跟踪过程,同时保持了目标的结构,从而提高了检测精度。在复杂环境的标准数据集上对该方法进行了测试,得到了令人鼓舞的实验结果。
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引用次数: 0
Review of Fast Mode Decision Algorithms for Intra Prediction in High Efficiency Video Coding Standard 高效视频编码标准中用于帧内预测的快速模式决策算法综述
Pub Date : 2017-07-10 DOI: 10.21013/JTE.ICSESD201733
Umesh W. Kaware, S. M. Gulhane
The emerging High Efficiency Video Coding (HEVC) standard is a new improved next generation video coding standard. HEVC aims to provide improved compression performance as compared to all other video coding standards. To improve the coding efficiency a number of new techniques have been used. The higher compression efficiency is obtained at the cost of an increase in the computational load. In HEVC 35 modes are provided for intra prediction to improve the compression efficiency. The best mode is selected by Rate Distortion Optimization (RDO) process. It achieves significant improvement in coding efficiency compared with previous standards. However, this causes high encoding complexity. This paper discuss the various fast mode decision algorithms for intra prediction in HEVC.
高效视频编码(High Efficiency Video Coding, HEVC)标准是新一代视频编码标准的改进。与所有其他视频编码标准相比,HEVC旨在提供更好的压缩性能。为了提高编码效率,采用了许多新技术。压缩效率的提高是以计算量的增加为代价的。在HEVC中,为了提高压缩效率,提供了35种模式用于帧内预测。通过速率失真优化(RDO)过程选择最佳模式。与以前的标准相比,它在编码效率上有了很大的提高。然而,这会导致较高的编码复杂度。讨论了HEVC中用于帧内预测的各种快速模式决策算法。
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引用次数: 0
Potential of Shrouded Micro Wind Turbine 冠状微型风力涡轮机的潜力
Pub Date : 2017-07-10 DOI: 10.21013/JTE.ICSESD201732
K. Sontakke, S. Deshmukh, Sandip Patil
The growing demand for electrical energy for industrial and domestic use, coupled with the limited amount of available fossil fuel reserves and its negative effects on the environment, have made it necessary to seek alternative and renewable energy sources. The use of renewable energy is promoted worldwide to be less dependent on conventional fuels and nuclear energy. Therefore research in the field is motivated to increase efficiency of renewable energy systems. This study aimed to study potential of micro wind turbine and velocity profile through shroud for low wind speeds. Although there is a greater inclination to use solar panels because of the local weather conditions, there are some practical implications that have place the use of solar panels in certain areas to an end. The biggest problem is panel stealing. Also, in some parts of the country the weather is more appropriate to apply wind turbines. Thus, this study paying attention on the design of a new concept to improve wind turbines to be appropriate for the low wind speeds in India. The concept involves the implementation of a concentrator and diffuser to a wind turbine, to increase the power coefficient. Although the wind turbine was not tested for starting speeds, the realization of the shroud should contribute to improved starting of the wind turbine at lower wind speeds. The configuration were not manufactured, but simulated with the use of a program to obtain the power production of the wind turbine over a range of wind speeds. These values were compared to measured results of an open wind turbine developed. The most important topic at hand when dealing with a shrouded wind turbine is to find out if the overall diameter or the blade diameter of the turbine should be the point of reference. As the wind turbine is situated in a shroud that has a larger diameter than the turbine blades, some researchers believe that the overall diameter should be used to calculate the efficiency. The benefits of shrouded wind turbines are discussed.
由于工业和家庭使用对电能的需求日益增加,加上现有矿物燃料储量有限及其对环境的不利影响,因此有必要寻求替代能源和可再生能源。可再生能源的使用在世界范围内得到推广,以减少对传统燃料和核能的依赖。因此,该领域的研究是为了提高可再生能源系统的效率。本研究旨在研究微型风力机在低风速条件下的潜力和通过叶冠的速度分布。尽管由于当地的天气条件,人们更倾向于使用太阳能电池板,但在某些地区,太阳能电池板的使用已经结束了。最大的问题是偷面板。此外,在该国的一些地区,天气更适合应用风力涡轮机。因此,本研究注重设计一种新的概念来改进风力涡轮机,以适应印度的低风速。这个概念包括在风力涡轮机上安装集中器和扩散器,以增加功率系数。虽然没有对风力机进行启动速度测试,但叶冠的实现应该有助于提高风力机在较低风速下的启动性能。该配置不是制造的,而是使用一个程序模拟,以获得风力涡轮机在一定风速范围内的发电量。这些值与开发的开放式风力涡轮机的测量结果进行了比较。在处理带冠风力机时,最重要的问题是确定涡轮机的整体直径还是叶片直径应该作为参考点。由于风力涡轮机位于比涡轮叶片直径更大的防护罩中,一些研究人员认为应该使用总直径来计算效率。讨论了笼罩式风力涡轮机的优点。
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引用次数: 1
Speech Emotion Recognition System Using Gaussian Mixture Model and Improvement proposed via Boosted GMM 基于高斯混合模型的语音情感识别系统及增强GMM的改进
Pub Date : 2017-07-10 DOI: 10.21013/JTE.ICSESD201706
P. Patel, A. Chaudhari, M. A. Pund, D. Deshmukh
Speech emotion recognition is an important issue which affects the human machine interaction. Automatic recognition of human emotion in speech aims at recognizing the underlying emotional state of a speaker from the speech signal. Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, GMMs are used to model the class-conditional distributions of acoustic features and their parameters are estimated by the expectation maximization (EM) algorithm based on a training data set. In this paper, we introduce a boosting algorithm for reliably and accurately estimating the class-conditional GMMs. The resulting algorithm is named the Boosted-GMM algorithm. Our speech emotion recognition experiments show that the emotion recognition rates are effectively and significantly boosted by the Boosted-GMM algorithm as compared to the EM-GMM algorithm. During this interaction, human beings have some feelings that they want to convey to their communication partner with whom they are communicating, and then their communication partner may be the human or machine. This work dependent on the emotion recognition of the human beings from their speech signal Emotion recognition from the speaker’s speech is very difficult because of the following reasons: Because of the existence of the different sentences, speakers, speaking styles, speaking rates accosting variability was introduced. The same utterance may show different emotions. Therefore it is very difficult to differentiate these portions of utterance. Another problem is that emotion expression is depending on the speaker and his or her culture and environment. As the culture and environment gets change the speaking style also gets change, which is another challenge in front of the speech emotion recognition system.
语音情感识别是影响人机交互的一个重要问题。语音情绪自动识别的目的是从语音信号中识别说话人的潜在情绪状态。高斯混合模型(GMMs)和最小错误率分类器(即贝叶斯最优分类器)是语音情感识别的常用有效工具。一般情况下,GMMs用于声学特征的类条件分布建模,并通过基于训练数据集的期望最大化(EM)算法估计其参数。本文介绍了一种可靠、准确地估计类条件gmm的增强算法。得到的算法被命名为boost - gmm算法。我们的语音情绪识别实验表明,与EM-GMM算法相比,boosting - gmm算法有效且显著地提高了情绪识别率。在这种互动过程中,人类有一些想要传达给交流对象的感受,而他们的交流对象可能是人,也可能是机器。这项工作依赖于人类对其语音信号的情绪识别,从说话人的语音中进行情绪识别是非常困难的,原因如下:由于不同句子的存在,说话人,说话风格,说话速度,以及说话的可变性。同样的话语可能表现出不同的情绪。因此,很难区分这些部分的话语。另一个问题是,情感表达取决于说话者及其文化和环境。随着文化和环境的变化,说话风格也会发生变化,这是语音情感识别系统面临的另一个挑战。
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引用次数: 15
期刊
IRA-International Journal of Technology & Engineering
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