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Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India最新文献

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Improving supplychain performance in an online store using Lean tools 使用精益工具改善在线商店的供应链绩效
S. K., Senthilkumar A P
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引用次数: 0
RF Module based Automated Toll Collection System 基于射频模块的自动收费系统
Somalatha T, Anusuya K.V, Salai Prajeetha R
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引用次数: 0
Numerical Investigations on GFRP beam with Delaminations 有分层的玻璃钢梁的数值研究
Sreekanth G, S. S, Meenakshi Sundaram H, S. R., A. R
. Usage of composites have rapidly increased in various applications likeaerospace, marine, automotive; because of their superior fatigue properties, good strength to weight ratio, corrosion resistance, etc. This work focus on Glass fibre Reinforced Polymer (GFRP) composite with epoxy as matrix, as it is the most commonly usedfibre with high strength and low cost. Numerical analysis on GFRP samples with and without delaminations having same stacking sequence and eight layers were done using ANSYS mechanical APDL software. It is observed that Natural Frequencies is varying according to changes in delaminations parameters.
. 复合材料在航空航天、船舶、汽车等各种应用中的使用迅速增加;由于其具有优异的疲劳性能、良好的强度重量比、耐腐蚀性等特点。本文主要研究以环氧树脂为基体的玻璃纤维增强聚合物(GFRP)复合材料,因为它是最常用的高强度和低成本的纤维。采用ANSYS机械APDL软件对具有相同堆叠顺序和8层有分层和无分层的玻璃钢试样进行了数值分析。观察到固有频率随分层参数的变化而变化。
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引用次数: 0
Deep Learning Architecture For Fruit Classification 水果分类的深度学习架构
S. B., Senthil Prabha R, Ravitha Rajalakshmi N
. The agricultural industries are one of the cost demanding fields placing a requirement on skilled laborers for harvesting. To meet the demands, robots are employed to harvest which mandates the need for accurate fruit detection system. The robot has to scan the image and recognize the fruit, which is the crucial process as the recognition system faces unprecedented challenges like occlusion, deformation, illumination conditions. The objective of this work is to build an accurate and reliable fruit recognition system by addressing these challenges in image recognition. Convolutional neural network, a deep learning algorithm is used to identify the features of an image and classify the image in the fruit recognition system. The system is evaluated with Fruit-360 dataset consisting of 43329 images of 60 different categories. With the aid of the proposed system, quantifiable improvement of about 97% accuracy is achieved and the total loss of the system is about 0.13.
. 农业是成本要求高的领域之一,需要熟练的工人来收割。为了满足这一需求,需要使用机器人进行收获,这就需要精确的水果检测系统。机器人必须扫描图像并识别水果,这是一个至关重要的过程,因为识别系统面临着前所未有的挑战,如遮挡、变形、光照条件。本文的目标是通过解决图像识别中的这些挑战,建立一个准确可靠的水果识别系统。在水果识别系统中,利用深度学习算法卷积神经网络来识别图像的特征并对图像进行分类。该系统使用Fruit-360数据集进行评估,该数据集由60个不同类别的43329张图像组成。在该系统的辅助下,系统的可量化精度提高了约97%,系统的总损耗约为0.13。
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引用次数: 0
Resource Reservation Protocol and Fast Reroute Mechanism for Implementing Traffic Engineering In Multiprotocol Label Switching Networks 多协议标签交换网络中实现流量工程的资源预留协议和快速路由机制
Venkateswari R, R. M, Kalai K N
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引用次数: 0
Utilization of Natural Source Filters for the Removal of Contaminants from the Waste Water 利用天然源过滤器去除废水中的污染物
J. J
. Water is one of the inevitable commodities in the day to day life of everyone, from the domestic applications to the industrial applications. As water easily dissolves almost everything directly or with the help of suitable chemicals, it is quite normal to use for the respective applications. After the chemical processing using water on the suitable materials, the residual solutions contains the contaminations that create pollution to the environment. Hence, nowadays it is made compulsory to treat the waste water to be suitable for mixing in the water bodies. Based on this context, in this work, it is decided to study on the waste water collected from the domestic washing machines and the textile chemical processing industries by utilizing the natural source filters. The results of which are in the convincing trend.
. 水是每个人日常生活中不可避免的商品之一,从家庭应用到工业应用。由于水很容易直接或在合适的化学品的帮助下溶解几乎所有的东西,因此在各自的应用中使用它是很正常的。在适当的材料上用水进行化学处理后,残留的溶液中含有对环境造成污染的污染物。因此,现在必须对废水进行处理,使其适合在水体中混合。在此背景下,本研究决定利用天然源过滤器对家用洗衣机和纺织化工行业的废水进行处理研究。其结果有令人信服的趋势。
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引用次数: 0
Design and Analysis of Water Distribution Network Using EPANET and GIS for Pattanam Rural Area of Coimbatore District 基于EPANET和GIS的哥印拜陀区Pattanam农村配水网络设计与分析
Aathira M, E. K
. Water distribution analysis and design is one of the challenging aspects in civil engineering which involves looping system of water distribution with extreme level of bursting pressure like lower than the atmosphere or much heavier pressure beyond the surge level due to differential elevations. The two major constraints that directly involved in major distributions are effective diameter of the pipe and permissible level of pressure at each nodal links/demand points. The paper deals with the planning of water distribution network through combined gravity and pumping looping system of network and satisfies the overall demand at each nodal point in and around the study area. The study area chosen is Pattanam rural area of Coimbatore district, Tamil Nadu. The population of the study area is 10,020. The present scenario in the study area is the presence of 9 overhead water tanks with average capacity of 40,000 litres. The feasibility of integrating the main supply with a single tank for the study area is checked. With the data obtained from field survey and data collection, a spatially bound model is created using ArcView GIS software. The output of ArcView model is then interchanged to EPANET input file with the help of interchange tool. This model is then imported in EPANET software. Keeping the flow and demand as a major factor and optimum diameter and pressure as constraints, a network is generated in EPANET software package. The output model from EPANET is checked for accuracy with manual calculation that is carried out using Hazen-William’s chart as well as with the field scenario. An integrated water distribution network model is thus suggested for the study area. The various tanks in the study area account for more head loss as well as more maintenance as many of the tanks are located to serve undeserved areas. Thus, a new tank location is identified foreseeing the further population expansion of the study area. The existing pipe line is maintained the same to the maximum extent except for some increase in diameter of pipes in the main line. The further scope of the project is the model creation and spatial analysis using GIS and water distribution system modelling packages integrating with GPS for more simplified and cost effective surveying, modeling as well as maintenance of the water distribution network system.
. 配水分析与设计是土木工程中具有挑战性的一个方面,它涉及到由于海拔差异导致的极端爆裂压力水平(如低于大气或高于涌浪水位的压力)下的环状配水系统。直接涉及主要分布的两个主要限制因素是管道的有效直径和每个节点链接/需求点的允许压力水平。本文采用重力与抽水相结合的管网循环系统进行配水管网规划,以满足研究区内及周边各节点的总体需求。选择的研究区域是泰米尔纳德邦哥印拜陀地区的Pattanam农村地区。研究区域的人口为10020人。研究地区目前的情况是有9个平均容量为40 000升的架空水箱。验证了研究区域主补给与单一储罐集成的可行性。利用野外调查和数据采集得到的数据,利用ArcView GIS软件建立空间绑定模型。然后在交换工具的帮助下,将ArcView模型的输出转换为EPANET输入文件。然后将该模型导入EPANET软件中。以流量和需求为主要因素,以最优管径和最优压力为约束条件,在EPANET软件包中生成网络。EPANET的输出模型通过使用Hazen-William的图表以及现场场景进行人工计算来检查准确性。提出了研究区综合配水网络模型。研究地区的各种储罐造成了更多的水头损失和更多的维护,因为许多储罐位于不需要的地区。因此,确定了一个新的储罐位置,以预测研究区域的进一步人口扩张。除了主干线管道的管径有所增加外,最大限度地保持现有管道的不变。该项目的进一步范围是利用地理信息系统和配水系统建模软件包进行模型创建和空间分析,并与GPS相结合,以更简化和更具成本效益的测量、建模以及配水网络系统的维护。
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引用次数: 1
Design and Implementation of Folded QRS Detector for Implantable Cardiac Pacemaker 植入式心脏起搏器折叠QRS检测器的设计与实现
Josly Priyatharsni J, U. A.
This paper proposes an area and power efficient technique for the design of an ECG detector. In biomedical applications, like the ECG detector for implantable cardiac pacemaker systems, area and power consumption plays a major role. Thus in this paper, an area-efficient ECG detector with folded pipelined FIR filter is proposed. In conventional wavelet filter bank structure, the decimated wavelet filter bank used makes use of 3 LPFs and 1 HPF of pipelined architecture. This pipelined filter structure requires more hardware. Thus in the proposed architecture folding transformation technique has been applied to the pipelined filter structure in order to reduce the hardware. The decimated wavelet filter bank consisting of the filter structures followed by down samplers is used to denoise the ECG signal. The QRS complex detector consisting of a comparator, counter and a threshold block is used to find the correct location of the QRS complex. In order to further reduce the number of registers that occurs as a result of the folding transformation, folding transformation with register minimization technique is applied to the pipelined filter that results in less hardware utilization. The proposed technique is implemented using Xilinx System Generator. Thus a total area of 22.78 is saved using the proposed method. Considerably a low power of 115mW is also achieved which makes it useful for high-performance medical applications.
本文提出了一种省地、省电的心电检测器设计方法。在生物医学应用中,如植入式心脏起搏器系统的ECG检测器,面积和功耗起着主要作用。为此,本文提出了一种基于折叠流水线FIR滤波器的面积高效心电检测器。在传统的小波滤波器组结构中,所采用的抽取小波滤波器组利用了3个lpf和1个流水线结构的HPF。这种流水线式滤波器结构需要更多的硬件。因此,在该架构中,为了减少硬件开销,将折叠变换技术应用于流水线滤波器结构。采用由滤波结构和下采样组成的抽取小波滤波器组对心电信号进行降噪。QRS复合体检测器由比较器、计数器和阈值块组成,用于找到QRS复合体的正确位置。为了进一步减少由于折叠变换而产生的寄存器数量,将带有寄存器最小化的折叠变换技术应用于流水线滤波器,从而减少了硬件利用率。采用Xilinx System Generator实现了该技术。因此,使用所提出的方法可节省总面积22.78。相当低的功率也达到了115mW,这使得它对高性能医疗应用非常有用。
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引用次数: 0
Ice Navigation Robots and Rovers : A Review 冰上导航机器人和漫游者:综述
Naresh Kumar K K R, Srikshana Sasidaran, V. S, A. Sivaranjani
. In today’s contemporary world, the inquisitiveness to look into and search into the beyond is constantly on the rise. And this snoopy nature is what resulted in the need for over-snow mobility and polar exploration. Since, these environments are hazardous for humans, the demand for snow rovers and glazier robots became quite popular. In this paper, the various contrasting methods employed for making these bots have been analyzed and put to the test.
. 在当今的当代世界,人们对探索和探索超越的好奇心不断上升。这种史努比的天性导致了人们对雪地机动和极地探险的需求。由于这些环境对人类来说是危险的,所以对雪地漫游者和玻璃机器人的需求变得相当流行。在本文中,各种对比的方法,用于制造这些机器人已经分析,并提出了测试。
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引用次数: 0
Investigations on Thermal, Structural and Morphological Properties of Ba1-x SrxTi O3 ba1 - xsrxtio3的热、结构和形貌研究
B. R, Abduraoof K, S. A
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引用次数: 0
期刊
Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India
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