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2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)最新文献

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Hadoop Map Reduce Techniques: Simplified Data Processing on Large Clusters with Data Mining Hadoop Map Reduce技术:使用数据挖掘简化大型集群上的数据处理
S. Suresh, T. Rajesh kumar, M. Nagalakshmi, J. Bennilo Fernandes, S. Kavitha
Data mining applications have become outdated and outmoded in recent years. The use of incremental processing to refresh mining results is a promising method. It makes use of previously saved states to save time and energy on re-computation. In this research, we offer a novel increment processing addition to the Map Reduce, the most extensively used methodology for mining the big data by using the Naive Bayes, the J48, and the Random Forest algorithms. Map reduction is a programming model for simultaneous processing and generation of massive amounts of data. We examine Map Reduce employing Naive Bayes, J48, and Random Forest algorithms with a variety of processing features for efficient mining that also saves energy. The Naive Bayes algorithm generates more energy and fewer maps. Priority-based scheduling is a task that allocates schedules based on the jobs’ requirements and utilization. As a result of decreasing the maps, the system’s workload is reduced, and energy efficiency is improved. The experimental comparison of the several algorithm techniques (Naive Bayes, J48, and Random Forest) have applied in this article and found that the Random forest is performed better than remaining two algorithms i.e. 92%.
近年来,数据挖掘应用已经过时了。使用增量处理来刷新挖掘结果是一种很有前途的方法。它利用先前保存的状态来节省重新计算的时间和精力。在这项研究中,我们为Map Reduce提供了一种新的增量处理方法,Map Reduce是使用朴素贝叶斯、J48和随机森林算法挖掘大数据的最广泛的方法。映射还原是一种用于同时处理和生成大量数据的编程模型。我们研究了使用朴素贝叶斯、J48和随机森林算法的Map Reduce,这些算法具有各种处理特征,可以有效地挖掘并节省能源。朴素贝叶斯算法产生更多的能量和更少的地图。基于优先级调度是一种根据作业的需求和利用率分配调度的任务。由于减少了地图,减少了系统的工作量,提高了能源效率。本文应用了几种算法技术(朴素贝叶斯,J48和随机森林)的实验比较,发现随机森林的性能优于其余两种算法,即92%。
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引用次数: 0
A Smell Sensor based Improved Waste Management System for Green and Smart Cities 基于气味传感器的绿色智慧城市废物管理系统
Hadiba Saud, Sameena Naaz, Anam Saiyeda
IoT is crucial for smart city applications to improve. The typical waste management method starts with garbage generated by municipal residents and deposited in garbage cans at the source. Outdoor containers are not kept up with by municipalities or trash management businesses, production it incredible to know when they need to be cleaned or when they are jam-packed. The author presents a smart city based IoT-allowed solid waste management system in this paper. Its goal is to break beyond the limits of existing waste management techniques. PBLMU and HBLMU end sensor nodes are used to pathway trash bins in residential zones and public area, respectively, in the proposed design. Using an intuitive Graphical User Interface, the garbage collection authority can view and also analyse the unfilled status of every waste bin (GUI). Multiple dustbins can be found throughout the city, university, or home in this paper. These garbage cans are equipped with a sensor that allows them to track their level and weight. Every rubbish bin in the city will be equipped with PBLMU and HBLMU, making it easy to determine which bin is full. The gadget will broadcast the reading along with the Lora WAN Gateway when the bin’s level and weight approach the threshold limit. Harmless chemicals are put to the smell sensor, which is used to detect the rotting smell, in order to avoid the decaying scent around the bin.
物联网对于改善智慧城市应用至关重要。典型的垃圾管理方法是从城市居民产生的垃圾开始,并在源头放置在垃圾桶中。市政当局或垃圾管理企业没有跟上户外容器的步伐,生产过程中很难知道什么时候需要清理,什么时候塞满了垃圾。本文提出了一种基于物联网的智慧城市固体废物管理系统。它的目标是突破现有废物管理技术的限制。在本次设计中,PBLMU和HBLMU端传感器节点分别用于居住区和公共区域的路径垃圾桶。使用直观的图形用户界面,垃圾收集机构可以查看和分析每个垃圾箱的未填充状态(GUI)。在这篇文章中,我们可以在城市、大学或家中找到多个垃圾桶。这些垃圾桶配备了传感器,可以跟踪它们的水平和重量。城市的每个垃圾桶都将配备PBLMU和HBLMU,方便判断哪个垃圾桶是满的。当垃圾桶的水平和重量接近阈值限制时,这个小工具将与Lora WAN网关一起广播读数。为了避免垃圾箱周围的腐烂气味,将无害的化学物质放入用于检测腐烂气味的气味传感器中。
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引用次数: 0
Realization of the Network Distributed Platform AWS System in the Transmission Structure Assistance Technology 网络分布式平台AWS系统在传输结构辅助技术中的实现
Cuiyu Qu
A transmission system control scheme based on HDMI protocol, FPGA control and Ethernet transmission is designed, and the video data of 1360 × 768@60Hz is used as the display data source. By analyzing three popular bus schemes, such as database-based, component-based and Agent-based, the company has designed a new type of HDMI dedicated data cable – HDMI data transmission with optoelectronic composite cable. This paper will focus on the structural design and material selection of the optoelectronic composite cable for HDMI data transmission, and compare the task-based and message-based bus modes under the concurrent system, and determine the message-based soft bus mode. (Chord)’s application service location strategy, which solves the search problem under the irregular distribution of services in large-scale distributed networks
设计了一种基于HDMI协议、FPGA控制和以太网传输的传输系统控制方案,以1360 × 768@60Hz视频数据为显示数据源。通过分析目前流行的基于数据库、基于组件和基于agent的三种总线方案,设计了一种新型的HDMI专用数据线——光电复合电缆HDMI数据传输。本文将重点研究用于HDMI数据传输的光电复合电缆的结构设计和材料选择,并比较并行系统下基于任务和基于消息的总线模式,确定基于消息的软总线模式。(Chord)的应用服务定位策略,解决了大规模分布式网络中服务不规则分布下的搜索问题
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引用次数: 0
Java Implementation of Signal Recognition Algorithm Oriented Intelligent Platform 面向智能平台的信号识别算法的Java实现
Ying Xu
The development of modern information technology has brought a great impact on traditional music teaching, and it is constantly promoting the change of music teaching methods in colleges and universities in our country. Then, a piano music classification method based on convolutional neural network is proposed. The spectrum of each classified piano music is used as the input image of the convolutional neural network for training, and the classification of piano music is indirectly realized through image recognition. The method is based on the three-dimensional Splatting algorithm. On the basis of other dimensions, it can be expanded dimension by dimension, which can more intuitively display the distribution law of multi-dimensional features. This paper adopts the MVC-based architecture and combines the characteristics of Java development to construct the function, overall architecture and system database of the system.
现代信息技术的发展给传统的音乐教学带来了巨大的冲击,并不断推动着我国高校音乐教学方式的变革。然后,提出了一种基于卷积神经网络的钢琴音乐分类方法。将每个分类钢琴曲的谱作为卷积神经网络的输入图像进行训练,通过图像识别间接实现钢琴曲的分类。该方法基于三维飞溅算法。在其他维度的基础上,可以逐维展开,可以更直观地显示多维特征的分布规律。本文采用基于mvc的体系结构,结合Java开发的特点,构建了系统的功能、总体架构和系统数据库。
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引用次数: 0
I-SMAC 2022 Cover Page I-SMAC 2022封面页
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引用次数: 0
Research on Intelligent Application of Matrix Eigenvalue Method in Tensor Analysis 矩阵特征值法在张量分析中的智能应用研究
Yunkun Chen
This paper firstly studies the intelligent application of matrix eigenvalues and eigenvalue methods based on tensor analysis. Then, starting from the concept of eigenvalues and eigenvectors and the eigenvalue decomposition theorem, through intuitive geometric demonstration, eigenvalue deployment and high-dimensional data Two specific examples of dimensionality reduction, combined with MATLAB software to clarify the geometric intuition and practical application of eigenvalues and eigenvectors, in order for students to have a deep understanding of eigenvalues and eigenvectors from multiple perspectives.
本文首先研究了基于张量分析的矩阵特征值和特征值方法的智能应用。然后,从特征值和特征向量的概念以及特征值分解定理出发,通过直观的几何演示、特征值展开和高维数据降维的两个具体实例,结合MATLAB软件阐明特征值和特征向量的几何直观和实际应用,使学生从多个角度对特征值和特征向量有一个深刻的理解。
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引用次数: 0
Pattern Recognition Assisted Translation Training System 模式识别辅助翻译训练系统
Ling Jin
The pattern recognition and computer-assisted translation teaching under the school-enterprise cooperation mode is centered on computer-assisted translation technology, and the implementation of networked interactive translation teaching will help translation students improve translation quality and efficiency, become familiar with the construction of smart undergraduates, and form project management Ideas, including the choice of CAT software, the combined application of CAT and corpus technology in translation teaching, the setting of CAT technology modules, etc., in order to promote the application and development of CAT technology in undergraduate translation training.
校企合作模式下的模式识别与计算机辅助翻译教学以计算机辅助翻译技术为核心,实施网络化互动式翻译教学,有助于翻译学生提高翻译质量和效率,熟悉智能本科生的建设,形成项目管理思路,包括CAT软件的选择、计算机辅助翻译技术与语料库技术在翻译教学中的结合应用,计算机辅助翻译技术模块的设置等,以促进计算机辅助翻译技术在本科翻译培训中的应用和发展。
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引用次数: 0
Developing WSN Throughput by using Signal to Noise Ratio and Validation Component 利用信噪比和验证分量提高无线传感器网络的吞吐量
Y. Selvaraj, A. Devi, U. Arul, B. R. Prasad, S. Kavitha
Several real-world applications of Wireless sensor networks (WSNs) would necessitate a possible distribution of numerous sensor nodes. However, Quality of Service based route formation is a necessary component to evade the network traffic. Thus, the network throughput Performance is a significant factor to adjust to different application. This approach introduced a Developing WSN throughput by using Signal to Noise Ratio and validation component (DTVC) in WSN. The significant aim of this approach to improve the link quality intermediate nodes to participate in the routing path. Here, the Signal to Noise Ratio (SNR) measurement is utilized to decide the throughput to discover the best route selection. The Forecasted Transmission Count (FTC) parameter can assist to choose a better route between sender to receiver. This routing parameter can used to reduce the count of transmitter nodes and minimizes the complexity. Finally, the data packets send through the highest link quality node. Simulation outcomes show that the DTVC method increases the network throughput, and minimizes the delay in the WSN.
无线传感器网络(wsn)的一些实际应用可能需要大量传感器节点的分布。然而,基于服务质量的路由形成是规避网络流量的必要组成部分。因此,网络吞吐量性能是适应不同应用的重要因素。该方法利用信噪比和验证分量(DTVC)提高了无线传感器网络的吞吐量。该方法的重要目的是提高中间节点参与路由路径的链路质量。在这里,利用信噪比(SNR)测量来确定吞吐量,以发现最佳路由选择。预测传输计数(FTC)参数可以帮助在发送方到接收方之间选择更好的路由。使用此路由参数可以减少发送节点的数量,使复杂性最小化。最后,数据包通过链路质量最高的节点发送。仿真结果表明,DTVC方法提高了网络吞吐量,使WSN的时延最小化。
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引用次数: 0
Computer-Aided Modeling and Empirical Analysis in Big Data Environment 大数据环境下的计算机辅助建模与实证分析
Lingling Deng, Liming Chen
Based on full reference to the existing theoretical research and empirical analysis methods at home and abroad, this paper uses the random coefficient model and computer-aided modeling based on the relevant panel data of different provinces in China. Under the Granger causality test, the financial There is a two-way causal relationship between development and economic growth in the short, medium, long and full cycles; under the cross-spectrum analysis, financial development lags behind economic growth in the short and long cycles, and slightly leads economic growth in the medium and full cycles Interpretation of the relationship between inflation, finance and economic growth through the use of three-dimensional analysis methods, empirically test the impact and role of the financial development on economic growth from multiple aspects and layers, and explore the two iteraction rules, influence paths, and function provision among other aspects.
本文在充分参考国内外现有理论研究和实证分析方法的基础上,基于中国不同省份的相关面板数据,采用随机系数模型和计算机辅助建模。在格兰杰因果检验下,金融发展与经济增长在短、中、长、全周期中存在双向因果关系;在跨谱分析下,金融发展在短周期和长周期滞后于经济增长,在中周期和全周期中略微领先于经济增长。运用三维分析方法解读通货膨胀、金融与经济增长之间的关系,从多个方面、多层次实证检验金融发展对经济增长的影响和作用,探索两者的交互规律、影响路径。以及功能提供等方面。
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引用次数: 0
Construction of Internet Game Development Environment based on OpenGL and Augmented Reality 基于OpenGL和增强现实技术的网络游戏开发环境构建
Shubin Wang
Based on OpenGL and augmented reality, this paper studies the construction of Internet game development environment, and proposes an algorithm based on quadtree to solve the problem of the number of triangles in OpenGL largescale terrain rendering. And using sky sphere technology, sunglasses lens halo technology and bulletin board technology, etc., under the premise of ensuring the rendering speed, it effectively improves the visual reality of the scene. This article discusses the settings of the augmented reality technology for the server data structure in detail, and proposes to use the navigation speculation method to solve the long message processing delay, effectively solve the load balance, and increase the security of data communication by 6.5%.
基于OpenGL和增强现实技术,研究了网络游戏开发环境的构建,提出了一种基于四叉树的算法来解决OpenGL大规模地形渲染中三角形数量的问题。并利用天球技术、太阳镜镜片光晕技术、公告板技术等,在保证渲染速度的前提下,有效提高了场景的视觉真实感。本文详细讨论了增强现实技术对服务器数据结构的设置,提出采用导航推测方法解决报文处理延迟长,有效解决负载均衡问题,数据通信安全性提高6.5%。
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引用次数: 0
期刊
2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
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