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2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)最新文献

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Performance Analysis of Routing and Wavelength Assignment in Optical networks 光网络中路由和波长分配的性能分析
Vishwanath M Bhadrashetti, Garima Pathak, Shrikanth B Tantry, Dr. Prakash Biswagar, S. M, Sourabh P Nagesh
The routing and wavelength assignment problem is a significant problem faced in any optical network. This problem is a significant problem faced in any optical network. This problem can be solved by splitting it into two problems. First, the routing problem is tackled and an optimal routing network is obtained. After this, the wavelength assignment problem is tackled and the right wavelengths are chosen for each path. In this paper, we look into two shortest path first routing algorithms, namely Dijkstra’s algorithm and the Genetic Approach algorithm and compares the results. Two wavelength assignment algorithms, random fit algorithm and first fit algorithm are compared and the results are tabulated. All simulations and results are observed on MATLAB and Python.
路由和波长分配问题是任何光网络都面临的一个重要问题。这个问题是任何光网络都面临的一个重要问题。这个问题可以分成两个问题来解决。首先,解决了路由问题,得到了最优路由网络。然后,解决波长分配问题,为每条路径选择合适的波长。本文研究了两种最短路径优先路由算法,即Dijkstra算法和遗传算法,并对结果进行了比较。比较了随机拟合算法和首次拟合算法两种波长分配算法,并将结果制成表格。所有的仿真和结果都在MATLAB和Python上进行了观察。
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引用次数: 2
IRNSS Receiver Position Estimation using Iterative Least Squares and Extended Kalman Filter 基于迭代最小二乘法和扩展卡尔曼滤波的IRNSS接收机位置估计
H. Varsha, S. Chougule, N. V. Vighnesam, K. Sudha
The Indian Regional Navigation Satellite System (IRNSS), also known as NavIC- Navigation with Indian Constellation provides real time positioning and timing services. The NavIC receivers provide information related to both satellite and receiver. There are multiple algorithms which can be used for position estimations. In this paper, Iterative Least Squares and Extended Kalman Filter algorithms are proposed to estimate the unknown receiver position by taking clock bias of the receiver into consideration.
印度区域导航卫星系统(IRNSS),也被称为NavIC-导航与印度星座提供实时定位和授时服务。NavIC接收器提供与卫星和接收器相关的信息。有多种算法可用于位置估计。本文提出了迭代最小二乘法和扩展卡尔曼滤波算法,在考虑接收机时钟偏差的情况下估计未知接收机位置。
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引用次数: 0
Multiscale Modeling using Signal Adapted Filter Bank 基于信号自适应滤波器组的多尺度建模
Binish Fatimah, S. Joshi
In this work, we present a multi-scale modelling technique using a signal adapted multirate filter bank. Unlike the existing multi-resolution modelling strategies, the proposed algorithm can be implemented using a signal adaptive, fast, recursive algorithm which is computationally efficient. The analysis filter bank, used in this work is a multivariate whitening filter whose outputs are orthogonal in time as well as across channels. The analysis filter bank whitens the input signal in different spectral bands. The synthesis filter bank, proposed here, has been designed to reconstruct only the given signal and not every energy signal, as is done in the perfect reconstruction filter bank case. Outputs of the M-synthesis filters, thus, provide the required M-orthogonal sub-band constituents of the given signal. Since the proposed modelling scheme is signal dependent it can be efficient used for applications like energy compaction, dimension reduction etc. The performance of the proposed algorithm does not deteriorate for long data and, also, the number of sub-bands is not arbitrary. The efficacy of the algorithm has been verified via simulation studies.
在这项工作中,我们提出了一种使用信号适应多速率滤波器组的多尺度建模技术。与现有的多分辨率建模策略不同,该算法可以使用信号自适应、快速、递归的算法来实现,计算效率高。本文所使用的分析滤波器组是一个多变量白化滤波器,其输出在时间上和跨信道上都是正交的。分析滤波器组对输入信号在不同波段进行白化处理。这里提出的合成滤波器组被设计为只重建给定的信号,而不是像完全重建滤波器组那样重建每个能量信号。因此,m合成滤波器的输出提供给定信号所需的m正交子带成分。由于所提出的建模方案依赖于信号,因此可以有效地用于能量压缩、降维等应用。该算法不影响长数据的性能,并且子带的数量不是任意的。通过仿真研究验证了该算法的有效性。
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引用次数: 1
A Closer Look At The Network Middleboxes 近距离观察网络中间层
Resma K S, S. G. S., A. T. Paul
to improve security and performance in the networks most of the enterprises deploy middlebox processing services. But these infrastructures are expensive, prone to failures and complex to manage. Hence it can be argued that middlebox can have a better performance in a cloud platform. It is challenging to have an implementation which is functionally equivalent to the traditional middlebox deployments. This paper will discuss, what a middlebox is, introduction to frequently used middleboxes, recent trends in middlebox, and challenges faced by these middleboxes.
为了提高网络的安全性和性能,大多数企业都部署了中间件处理服务。但这些基础设施价格昂贵,容易出现故障,管理起来也很复杂。因此,可以认为middlebox在云平台中具有更好的性能。要实现在功能上等同于传统的中间盒部署是一项挑战。本文将讨论什么是中间件,介绍常用的中间件,中间件的最新趋势,以及这些中间件面临的挑战。
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引用次数: 2
Analysis of automation in the field of Usability Evaluation 可用性评估领域的自动化分析
Shubhangi S. Khasnis, Sindhu Raghuram P, Akanksha Aditi, Samrakshini R S, Namratha M
Usability Engineering is one of the domain areas that falls under the concepts of Human-Computer Interaction. The aim is to achieve systems that are efficient with respect to user experience. A combination of various approaches can be implemented at the disparate levels of the design and development procedure in order to obtain the necessary metric of usability efficiency. A structured and systematic approach aids in giving the designer information on the improvement of an interface. Some of the approaches that have been adopted for this purpose have been discussed here.
可用性工程是属于人机交互概念的领域之一。目标是实现在用户体验方面高效的系统。为了获得可用性效率的必要度量标准,可以在设计和开发过程的不同层次上实现各种方法的组合。结构化和系统化的方法有助于给设计者提供有关界面改进的信息。本文讨论了为此目的而采用的一些方法。
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引用次数: 0
Alzh-care: - Knowledge - driven intelligent system to assist Alzheimer Patients 老年痴呆症护理:-知识驱动的智能系统,以帮助老年痴呆症患者
Rashmi S R, S. Suha, R. Krishnan, D. R. Ramesh Babu
Alzh-care is an Alzheimer patients assistive system. This system assists the patients by recognizing their intention on the activity and guides them to the completion of that task. It helps the patients in completing their day-today tasks by recognizing their intent of the task at the early stage. In this work, Intention recognition is achieved through the sensor based activity recognition process. These kinds of systems have far reaching applications in the domains like assisted living; healthcare monitoring and they offer lots of open challenges to solve in the arena of research and development.This paper discusses the implementation of the Alzh-care assistive system using sensors for the day-to-day activities like eating meals and taking medicines etc., We have used knowledge driven approach for representing the domain knowledge on the day-to-day activities is as ontology. This in turn is referred to know the intentions of the patients and voice assist them in completing the intended task. We have tried state machine approach to infer and assist on the task. Knowledge driven approach has proven to perform better than the data driven approaches as the latter suffers from the cold start and reliability issues.We have tabulated the trials and noted the success rate of recognition of the intent for each of the activity experimented. This system is proven to be 85% to 90% accurate for predicting the intentions in the finite disambiguous tasks, owing the other 5% to 10% of the failure caused by the sensors used.
老年痴呆症护理是老年痴呆症患者的辅助系统。该系统通过识别患者在活动中的意图并指导他们完成任务来帮助患者。它通过在早期阶段识别患者的任务意图来帮助他们完成日常任务。在这项工作中,意图识别是通过基于传感器的活动识别过程来实现的。这类系统在辅助生活等领域有着深远的应用;医疗保健监控和它们在研究和开发领域提供了许多需要解决的开放挑战。本文讨论了利用传感器实现老年痴呆症辅助系统的日常活动,如吃饭和吃药等,我们使用知识驱动的方法将领域知识表示为日常活动的本体。这反过来又涉及到了解患者的意图和语音协助他们完成预期的任务。我们尝试了状态机方法来推断和辅助任务。事实证明,知识驱动的方法比数据驱动的方法性能更好,因为数据驱动的方法存在冷启动和可靠性问题。我们已将试验制成表格,并注意到每个实验活动的意图识别成功率。事实证明,该系统在有限的明确任务中预测意图的准确率为85%至90%,其余5%至10%的故障是由所使用的传感器引起的。
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引用次数: 1
Performance Comparison of Ryu and Floodlight Controllers in Different SDN Topologies Ryu和泛光灯控制器在不同SDN拓扑下的性能比较
Ravin Chouhan, M. Atulkar, N. K. Nagwani
Ryu and Floodlight controllers are being used in academia and industries for different research and development purposes. The objective of this paper is to compare the performance of these controllers under different topologies namely single, linear, tree, torus and custom. Experiments are performed under a much known emulator, mininet. Four parameters were valuated under this experimental setups namely throughput, jitter, latency and packet loss. Valuation of results clearly shows that Ryu is giving better throughput as compared to Floodlight in all the topologies. In case of latency and jitter Ryu is performing better in all the topologies except Torus. Similar is the case with packet loss.
Ryu和泛光灯控制器被用于学术界和工业界的不同研究和开发目的。本文的目的是比较这些控制器在不同拓扑下的性能,即单拓扑,线性拓扑,树拓扑,环面拓扑和自定义拓扑。实验是在一个众所周知的仿真器mininet下进行的。在此实验设置下,对吞吐量、抖动、延迟和丢包四个参数进行了评估。对结果的评估清楚地表明,Ryu在所有拓扑结构中都比Floodlight提供了更好的吞吐量。在延迟和抖动的情况下,Ryu在除Torus外的所有拓扑中都表现得更好。丢包的情况也类似。
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引用次数: 15
Commodity and Forex trade automation using Deep Reinforcement Learning 使用深度强化学习的商品和外汇交易自动化
B. Usha, T. N. Manjunath, Thrivikram Mudunuri
Machine learning is an application of artificial intelligence based on the theory that machines can learn from data, discern patterns and make decisions with negligible human intervention. With today’s world being inundated by data, machine learning is very relevant due to the amount of learning potential. Machine learning caters to a variety of applications including image recognition, speech recognition, weather prediction, portfolio optimization and so on. The Forex Exchange is a market that allows traders and investors to buy, sell and exchange currencies of various nations. It is regarded as the largest financial market with over 5 trillion American dollars in daily trades, which is larger than the equity and futures markets combined. The Commodity market is a market that allows buying, selling and exchanging of raw materials or primary products. Using the concept of machine learning, this project aims to develop and introduce an agent to automate the trade of a given commodity or currency in a simulated market with the objectives of maximizing returns and minimizing losses for the trader. The model learns from trends in historical market data and is capable of buying, selling or holding a trade at a given instance. The model is validated by running the agent on unseen market data of a later period and the returns generated are analyzed.
机器学习是人工智能的一种应用,其理论基础是机器可以从数据中学习,识别模式并做出决策,而无需人为干预。随着当今世界被数据淹没,由于学习潜力的巨大,机器学习非常重要。机器学习迎合了各种各样的应用,包括图像识别、语音识别、天气预测、投资组合优化等。外汇交易是一个允许交易者和投资者买卖和兑换各国货币的市场。它被认为是最大的金融市场,日交易量超过5万亿美元,比股票和期货市场的总和还要大。商品市场是一个允许买卖和交换原材料或初级产品的市场。利用机器学习的概念,该项目旨在开发和引入一个代理,在模拟市场中自动交易给定商品或货币,目标是最大化交易者的回报和最小化损失。该模型从历史市场数据的趋势中学习,能够在给定的情况下买入、卖出或持有一笔交易。通过在一段时间后未见过的市场数据上运行代理对模型进行了验证,并分析了所产生的收益。
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引用次数: 3
Comparision of MultiLevel Inverter using Reverse Voltage Topology for Multiple Loads 多负载下采用反向电压拓扑的多电平逆变器比较
R. Rajan, K. R, M. S
The uniqueness of multilevel inverters is such that they have a structure which makes it possible to reach high voltages with less harmonic content. This paper gives a comparison between a seven level and nine-level inverter with reverse voltage Topology which drives Resistive load and Single Phase Induction Motor with Sinusoidal Pulse Width Modulation Scheme (SPWM).The number of components used in this topology are less compared to the existing high level inverter topologies. With lower Total Harmonic Distortion (THD) there will be less stress on the power switches and higher efficiency of the circuit. The performance analysis is based on the results of stimulation study conducted on the operation of the multilevel inverters using MATLAB/ SIMULINK.
多电平逆变器的独特之处在于,它们具有一种结构,可以在谐波含量较少的情况下达到高电压。本文比较了采用反向电压拓扑的7电平和9电平逆变器驱动阻性负载和采用正弦脉宽调制方案的单相感应电动机。与现有的高级逆变器拓扑相比,该拓扑中使用的组件数量较少。总谐波失真(THD)越低,对功率开关的压力就越小,电路的效率就越高。性能分析是基于使用MATLAB/ SIMULINK对多电平逆变器的运行进行仿真研究的结果。
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引用次数: 1
Three Sigma and Multilevel Active Contour Approach to Detect Optic Disc and Optic Cup 三西格玛和多层主动轮廓法检测视盘和视杯
N. C. Patil, P. V. Rao
One of the key factors to be looked at during design of an automated eye screening system is to find the optic disc and optic cup. Objective: In eye screening of diabetic patients, the feature such as hard exudates and cotton wool spots can be noticed which share similar properties with optic disc In certain diseases like glaucoma ophthalmologist look at the ratio of optic cup with optic disc to detect the presence or absence of glaucoma Currently, the process is manual performed by ophthalmologist, which a time consuming and tedious job. This fact motivated to design a fully automated procedure to detect optic cup and optic disc. Method: In the current paper a multilevel active contour technique is used that generates the snake to detect boundaries of optic cup and optic disc using intensity of the border pixels which are tested using 3σ control limits. The algorithm works in two parts. In part-1, optic disc boundary is detected and in part-2, the optic cup is marked by concentrating inside the area marked as optic disc in part-1. Findings: This approach reduces processing area and hence improves computational time A local database to carry out this work was created by collecting images from Karnataka Institute of Diabetology, Bangalore The results obtained by the proposed procedure are encouraging and have yielded 100% results with the fundus images containing full optic disc Improvement: The method is fully automatic and no user intervention is required
在设计自动眼睛筛查系统时,要考虑的关键因素之一是找到视盘和视杯。目的:在糖尿病患者的眼部筛查中,可观察到硬渗出物、棉絮斑等与视盘具有相似性质的特征。在青光眼等疾病中,眼科医生通过观察视杯与视盘的比例来判断是否存在青光眼。目前,这一过程主要由眼科医生手工完成,耗时且繁琐。这一事实促使我们设计了一种完全自动化的程序来检测视杯和视盘。方法:本文采用多层次主动轮廓技术,利用边界像素的强度,利用3σ控制极限检测视盘和视杯的边界,生成蛇形图像。该算法分为两部分。在第1部分中,检测视盘边界,在第2部分中,通过在第1部分中标记为视盘的区域内集中来标记视杯。研究结果:该方法减少了处理面积,从而提高了计算时间,通过收集卡纳塔克邦糖尿病研究所(Bangalore)的图像创建了一个本地数据库来开展这项工作。通过所建议的程序获得的结果令人鼓舞,并且眼底图像包含全视盘的结果达到了100%
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引用次数: 1
期刊
2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)
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