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2019 International Conference on Nascent Technologies in Engineering (ICNTE)最新文献

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Multi Objective Optimization in CNC End Milling of Inconel 718 Super Alloy by Taguchi-Grey-Fuzzy Method 基于田口灰模糊法的Inconel 718超级合金数控立铣削多目标优化
Pub Date : 2019-01-01 DOI: 10.1109/ICNTE44896.2019.8945898
P. Thakur, J. Khan, Mugdha Dongre, Swarnjayanti Gupta
Inconel 718 has vast range of aeronautical applications. The CNC end milling is the machining processes used for the production of high precision components of aircraft. The machining inconel 718 for high precision always leads to high power consumption and low productivity. This work deals with maximization of productivity and minimization of roughness simultaneously by Taguchi-Grey-Fuzzy logic in cutting of Incone1718 by end milling operation. The control factors considered are depth of cut, feed, speed and type of insert material with roughness and productivity (material removal rate) as responses. Here L18 orthogonal array is utilized as design of experiment with 3 levels of depth of cut, speed, feed and two levels of type of insert material. After the experimentation the optimum levels were obtained by the application of taguchi-grey-fuzzy method. Based on confirmation test, this technique gave 38% increment in multi response performance index (MRPI) which is the combined effect of all the three responses. Also, productivity and roughness increased by 37% and 61 %.
因科乃尔718具有广泛的航空应用。数控立铣削是一种用于生产高精度飞机部件的加工工艺。高精度加工inconel 718往往导致高功耗和低生产率。这项工作处理的生产率最大化和粗糙度最小化同时田口灰模糊逻辑在铣削Incone1718操作。考虑的控制因素是切削深度、进给量、速度和插入材料的类型,粗糙度和生产率(材料去除率)作为响应。本实验采用L18正交阵列作为实验设计,实验采用3级切削深度、速度、进料和2级切削材料类型。通过实验,应用田口-灰-模糊法确定了最佳水平。经证实,该技术可使三种反应的综合效应多反应性能指数(MRPI)提高38%。同时,生产效率和粗糙度分别提高了37%和61%。
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引用次数: 1
Chronic Kidney Disease Prediction and Recommendation of Suitable Diet Plan by using Machine Learning 基于机器学习的慢性肾脏疾病预测及饮食计划推荐
Pub Date : 2019-01-01 DOI: 10.1109/ICNTE44896.2019.8946029
Akash Maurya, Rahul Wable, Rasika Shinde, S. John, Rahul Jadhav, R. Dakshayani
Chronic kidney disease (CKD) is a type of kidney disease in which there is gradual loss of kidney function over a period of months or years. Prediction of this disease is one of the most important problems in medical fields. So automated tool which will use machine learning techniques to determine the patient's kidney condition that will be helpful to the doctors in prediction of chronic kidney disease and hence better treatment. The proposed system extracts the features which are responsible for CKD, then machine learning process can automate the classification of the chronic kidney disease in different stages according to its severity. The objective is to use machine learning algorithm and suggest suitable diet plan for CKD patient using classification algorithm on medical test records. Diet recommendation for patient will be given according to potassium zone which is calculated using blood potassium level to slow down the progression of CKD.
慢性肾脏疾病(CKD)是一种肾脏疾病,在几个月或几年的时间里,肾脏功能逐渐丧失。该病的预测是目前医学领域的重要问题之一。因此,自动化工具将使用机器学习技术来确定患者的肾脏状况,这将有助于医生预测慢性肾脏疾病,从而更好地治疗。提出的系统提取CKD的特征,然后机器学习过程可以根据其严重程度自动对不同阶段的慢性肾脏疾病进行分类。目的是利用机器学习算法,利用医学检查记录的分类算法,为CKD患者推荐合适的饮食计划。根据血钾水平计算出的钾区为患者提供饮食建议,以减缓CKD的进展。
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引用次数: 23
GreenCoin: Empowering smart cities using Blockchain 2.0 GreenCoin:利用区块链2.0为智慧城市赋能
Pub Date : 2019-01-01 DOI: 10.1109/ICNTE44896.2019.8946014
Siddharth Dekhane, Kaushal Mhalgi, K. Vishwanath, Shivani Singh, N. Giri
The work presented in this paper aims to propose a novel idea to use blockchain technology and IoT devices or solar devices that generate solar power for smart power distribution within the ecosystem for optimal and secured transactions for the demands of many smart cities. The blockchain 2.0 provides a consensus-based mechanism for programmable transactions. The paper presents a blockchain based power distribution ecosystem for smart cities by incorporating a wallet-based currency, called “Green Coin”, for power transactions of buying, selling and lending. It integrates negotiation model for monopoly avoidance and a transparent and fair system to every Power Service Provider (PSP) in the system.
本文提出的工作旨在提出一种新颖的想法,即使用区块链技术和物联网设备或太阳能设备产生太阳能,用于生态系统内的智能配电,以实现满足许多智慧城市需求的最佳和安全交易。区块链2.0为可编程事务提供了基于共识的机制。该论文提出了一个基于区块链的智能城市配电生态系统,通过结合一种基于钱包的货币,称为“绿色硬币”,用于购买,出售和借贷的电力交易。它将避免垄断的谈判模式与系统中每个电力服务提供商的透明、公平的制度相结合。
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引用次数: 7
Design, Fabrication & Testing of Cooling System for Multi-Junction CPV Cells 多结CPV电池冷却系统的设计、制造与测试
Pub Date : 2019-01-01 DOI: 10.1109/ICNTE44896.2019.8945867
Nilesh Varkute, Deepak Devasagayam, Atul Shenoy, S. Fernandes, Pranav Chaulkar, Samuel Cerejo, Aashish Yadav
Solar energy is a renewable and clean source of energy and the easiest to utilize among all the other renewable resources available. Majority of the solar energy harnessing firms use panels made of a single junction solar cell for conversion of solar energy to electrical energy. With the advent of modern technology, multi-junction photovoltaic cells are made available. The multi-junction photovoltaic cells contain multiple P-N junctions within them. Due to these multiple junctions, heating of the cell is common which decreases the cell's efficiency. This is more prominent in certain concentrated photovoltaic systems and also may lead to permanent damage to the cell. The paper describes a cooling system design, which consists of a block on which the solar cell is to be mounted and water is made to flow in this block when the temperature of the cell exceeds beyond the maximum allowable temperature of the cell (60°C − 70°C), this temperature is measured by an infrared thermometer. The cooling system developed helps regulate the cell temperature and also assists in efficient working of the cell.
太阳能是一种可再生的清洁能源,也是所有可再生能源中最容易利用的。大多数太阳能利用公司使用由单结太阳能电池制成的面板将太阳能转换为电能。随着现代技术的发展,多结光伏电池成为可能。多结光伏电池包含多个P-N结。由于这些多结,电池的加热是常见的,这降低了电池的效率。这在某些聚光光伏系统中更为突出,也可能导致对电池的永久性损坏。本文介绍了一种冷却系统的设计,该系统包括一个安装太阳能电池的块,当电池的温度超过电池的最高允许温度(60°C - 70°C)时,使水在块中流动,该温度由红外温度计测量。开发的冷却系统有助于调节电池温度,也有助于电池的有效工作。
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引用次数: 0
Object Recognition for the Visually Impaired 视障人士的物体识别
Pub Date : 2019-01-01 DOI: 10.1109/ICNTE44896.2019.8946015
Heetika Gada, Vedant Gokani, A. Kashyap, Amit A. Deshmukh
Today images and videos are everywhere. In fact, the sheer quantity of images on social media and networking sites is unfathomable. Every device is now fitted with a camera. This opens up huge possibilities. Object Recognition is a process of detecting an object and identifying it using various image algorithms. The main purpose of this paper is to recognize objects in real time and allot the objects to the classes that are previously defined. The algorithms that we utilized are more computationally efficient. Previously, object detection was done using RFID and IR technologies which required dedicated hardware. But with the advent of image processing and neural networks, we require almost no new hardware. Almost everything has camera these days from pens to mobile phones. This has given rise to a new field called computer vision i.e. using pictures and videos to detect, segregate and track objects or events so that we can “understand” a real world scenario.
今天,图像和视频无处不在。事实上,社交媒体和网络网站上的图片数量是不可估量的。现在每个设备都配有摄像头。这带来了巨大的可能性。物体识别是利用各种图像算法检测并识别物体的过程。本文的主要目的是实时识别对象,并将对象分配给先前定义的类。我们使用的算法计算效率更高。以前,目标检测是使用RFID和IR技术完成的,这需要专用硬件。但随着图像处理和神经网络的出现,我们几乎不需要新的硬件。如今,从笔到手机,几乎所有的东西都有摄像头。这就产生了一个叫做计算机视觉的新领域,即使用图片和视频来检测、分离和跟踪物体或事件,这样我们就可以“理解”现实世界的场景。
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引用次数: 2
Liquid Level Sensing using Lamb waves 基于兰姆波的液位传感
Pub Date : 2019-01-01 DOI: 10.1109/ICNTE44896.2019.8945890
Nitesh P. Yelve, Siddhesh B. Chavare
The present study examines the possibility of using an ultrasonic guided wave technique for liquid level sensing. The setup consists of an Aluminium thin beam which is partly immersed in a liquid whose level is to be determined. When a wave guide is immersed in the liquid, guided wave in the waveguide is attenuated due to the leakage of its energy into the surrounding water. The amount of leakage is related to the characteristics of the waveguide and the surrounding liquid liquid. With these predictions, it is possible to relate the measured characteristics to the liquid level. Previous research shows that the various modes of Lamb waves are influenced by the surrounding liquid. Therefore, the change in the characteristic of Lamb waves can be used as a function of liquid level. This effect has also been investigated using Finite Element Analysis.
本研究探讨了利用超声导波技术进行液位传感的可能性。该装置由一根铝薄梁组成,该梁部分浸入待测液位的液体中。当波导浸入液体中时,波导中的导波由于其能量泄漏到周围的水中而衰减。泄漏量与波导和周围液体的特性有关。有了这些预测,就有可能把测量的特性与液位联系起来。以往的研究表明,兰姆波的各种模式受到周围液体的影响。因此,兰姆波特性的变化可以作为液位的函数。这种影响也用有限元分析进行了研究。
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引用次数: 2
Identification of Chord Wise Location of Shear Web for Wind Turbine Blade 风电叶片剪切腹板弦向位置的确定
Pub Date : 2019-01-01 DOI: 10.1109/ICNTE44896.2019.8946070
Khan Mohammed Azfar Rafiuddin, N. Deshmukh
Wind turbine blades are huge structures, with complex design. Also, Blade is most complicated and costly component of a wind turbine. In present study mass of blade is reduced without increasing the stresses developed. For calculating aerodynamic loads acting on a blade of wind turbine BEM (Blade Element Momentum) theory is used. Tangential and Normal Aerodynamic loads are calculated for three different wind velocities i.e. 6, 8 and 10 m/s, In this study three dimensional modeling of blade is done using special wind turbine blade modeling software called Numerical Manufacturing and Design (NuMAD). The stresses developed at different critical points of turbine blade are obtained. The mass of turbine blade for different shear web configuration are also calculated. Using these values of stresses, optimal location of shear web is identified in MATLAB using genetic algorithm tool. The optimal locations of shear web are 55.18%, 55.84% and 55.27% and optimal mass of the blades are 2095.4 kg, 2105.1 kg and 2098.4 kg for the wind velocities of 6, 8 and 10 m/s respectively. The mass of the blade is reduced up to 1.02%.
风力涡轮机叶片结构庞大,设计复杂。此外,叶片是风力涡轮机中最复杂和最昂贵的部件。目前的研究是在不增加应力的情况下减小叶片质量。应用叶素动量理论计算风力机叶片上的气动载荷。计算了6、8和10 m/s三种不同风速下的切向和法向气动载荷。在本研究中,使用称为数值制造与设计(NuMAD)的专用风力涡轮机叶片建模软件对叶片进行了三维建模。得到了涡轮叶片在不同临界点处产生的应力。计算了不同剪切腹板结构下涡轮叶片的质量。利用这些应力值,利用遗传算法工具在MATLAB中确定剪力腹板的最优位置。风速为6、8和10 m/s时,剪切腹板的最佳位置分别为55.18%、55.84%和55.27%,叶片的最佳质量分别为2095.4 kg、2105.1 kg和2098.4 kg。叶片的质量减少了1.02%。
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引用次数: 0
Design and Analysis of the Frame of Smart Wheelchair 智能轮椅框架的设计与分析
Pub Date : 2019-01-01 DOI: 10.1109/ICNTE44896.2019.8946027
Mathew Thomas, Anurag Bhatkar, Aditya Nair, Blesson Biju, Aditya Shetty
In today's world the rate of differently abled people is increasing day by day. According to the CENSUS 2011 it is showed that out of all disabilities, 20% are facing disability in movement. Wheelchairs have been the basic and most widely used aid for such people. But there are people suffering with partial paralysis or quadriplegia which affect their limbs. Thus, they need another person in order to assist the movement of the chair. A smart wheelchair is the best option in this case. A smart wheelchair is a powered wheelchair to which computers, sensors, and assistive technology are attached. We are proposing a smart wheelchair in which we use a head gear with a Gyro sensor to detect the head movement and will generate signals accordingly to move the chair. When head tilts towards the left the chair will move in left direction and similarly in forward, backward and right direction according to the movement of the head with the help of motors powered by a battery thereby eliminating the need for another person. This prototype will help such people to get rid of all the joysticks and controls and provides a convenient and economical solution bringing a sense of independency into their lives. Necessary precautions will be incorporated to ensure the safety of the person.
在当今世界,残疾人士的比例日益增加。根据2011年人口普查,在所有残疾人中,20%的人在行动中面临残疾。轮椅一直是这些人最基本和最广泛使用的辅助工具。但有些人患有部分瘫痪或四肢瘫痪,四肢受到影响。因此,他们需要另一个人来协助椅子的运动。在这种情况下,智能轮椅是最好的选择。智能轮椅是一种装有电脑、传感器和辅助技术的电动轮椅。我们提出了一种智能轮椅,我们使用带有陀螺仪传感器的头部装置来检测头部的运动,并相应地产生信号来移动椅子。当头部向左倾斜时,椅子将在电池驱动的马达的帮助下,根据头部的运动向左移动,同样向前,向后和向右移动,从而消除了对另一个人的需要。这个原型将帮助这些人摆脱所有的操纵杆和控制,并提供一个方便和经济的解决方案,给他们的生活带来独立感。将采取必要的预防措施,以确保人身安全。
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引用次数: 1
Realtime Aerial Image Panoramic by Using Drone 使用无人机的实时航拍图像全景
Pub Date : 2019-01-01 DOI: 10.1109/ICNTE44896.2019.8945847
S. Patnaik, Sanjana Keluskar, Darryl Lopes, Rohit Ekka, Karan Kachi
With the recent development in Drone the applications of the Drone has increased multi-fold. However, the scope of this project addresses the applications particularly in the area of search and rescue, surveillance and monitoring in Archaeology, Architecture, Agriculture, Forestry etc. To achieve the desired application, this paper presents a solution for autonomous navigation of drone by performing autonomous behavior, such as following waypoints through predefined GPS co-ordinates. The image processing is achieved by Raspberry Pi Zero interfaced with Raspberry Pi Camera which is in continuous communication with ground control station via Remote login software called PuTTY.
随着近年来无人机技术的发展,无人机的应用也成倍增加。然而,这个项目的范围涉及的应用,特别是在考古、建筑、农业、林业等领域的搜索和救援、监视和监测。为了实现预期的应用,本文提出了一种无人机自主导航的解决方案,通过执行自主行为,例如通过预定义的GPS坐标跟踪航路点。图像处理是由树莓派Zero与树莓派相机接口,通过远程登录软件PuTTY与地面控制站持续通信。
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引用次数: 1
Efficient Privacy Preserving and Dynamic Public Auditing for Storage Cloud 存储云的高效隐私保护和动态公共审计
Pub Date : 2019-01-01 DOI: 10.1109/ICNTE44896.2019.8945817
Jagruti M. Patil, S. Chaudhari
In recent years, cloud computing has gained lots of importance and is being used in almost all applications in terms of various services. One of the most widely used service is storage as a service. Even though the stored data can be accessed from anytime and at any place, security of such data remains a prime concern of storage server as well as data owner. It may possible that the stored data can be altered or deleted. Therefore, it is essential to verify the correctness of data (auditing) and an agent termed as Third Party Auditor (TPA) can be utilised to do so. Existing auditing approaches have their own strengths and weakness. Hence, it is essential to propose auditing scheme which eliminates limitations of existing auditing mechanisms. Here we are proposing public auditing scheme which supports data dynamics as well as preserves privacy. Data owner, TPA, and cloud server are integral part of any auditing mechanism. Data in the form of various blocks are encoded, hashed, concatenated and then signature is calculated on it. This scheme also supports data dynamics in terms of addition, modification and deletion of data. TPA reads encoded data from cloud server and perform hashing, merging and signature calculation for checking correctness of data. In this paper, we have proposed efficient privacy preserving and dynamic public auditing by utilizing Merkle Hash Tree (MHT) for indexing of encoded data. It allows updating of data dynamically while preserving data integrity. It supports data dynamics operations like insert, modify and deletion. Several users can request for storage correctness simultaneously and it will be efficiently handled in the proposed scheme. It also minimizes the communication and computing cost. The proposed auditing scheme is experimented and results are evaluated considering various block size and file size parameters.
近年来,云计算变得非常重要,并且在几乎所有应用程序中都以各种服务的形式使用。最广泛使用的服务之一是存储即服务。尽管存储的数据可以随时随地访问,但这些数据的安全性仍然是存储服务器和数据所有者的主要关注点。存储的数据可能会被更改或删除。因此,必须验证数据的正确性(审计),并且可以使用称为第三方审计员(TPA)的代理来完成此工作。现有的审计方法各有优缺点。因此,有必要提出一种能够消除现有审计机制局限性的审计方案。在这里,我们提出了一种支持数据动态并保护隐私的公共审计方案。数据所有者、TPA和云服务器是任何审计机制的组成部分。以各种块的形式对数据进行编码、散列、连接,然后在其上计算签名。该方案还支持数据的动态添加、修改和删除。TPA从云服务器读取编码数据,并执行哈希、合并和签名计算,以检查数据的正确性。在本文中,我们利用Merkle哈希树(MHT)对编码数据进行索引,提出了有效的隐私保护和动态公共审计。它允许在保持数据完整性的同时动态更新数据。它支持数据动态操作,如插入、修改和删除。该方案可以同时满足多个用户对存储正确性的要求,并能有效地处理。它还将通信和计算成本降至最低。对所提出的审计方案进行了实验,并在考虑不同块大小和文件大小参数的情况下对结果进行了评估。
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引用次数: 2
期刊
2019 International Conference on Nascent Technologies in Engineering (ICNTE)
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