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2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)最新文献

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Reduced Order Synchronization of Two Different Chaotic Systems Using Nonlinear Active Control with or without Time Delay 两种不同混沌系统的非线性主动控制降阶同步
Pub Date : 2021-12-10 DOI: 10.1109/CAPS52117.2021.9730665
R. Bora, B. Sharma
In this article, a nonlinear active control technique is proposed so as to attain the synchronization of two different chaotic systems. Master and slave configuration is incorporated for the analysis. The main objective is to design Reduced Order Synchronization (ROS) scheme, where the order of the master system is greater than that of the slave system. Initially, active control technique based ROS is achieved and after that the results are extended to address reduced order synchronization in the presence of time delays in the systems. Based on Routh-Hurwitz criterion and Lyapunov stability theorem, the convergent behaviour of the error dynamics is proved. The theoretical results are validated by the detailed simulation results for Lorenz-Stenflo and Lü system.
本文提出了一种非线性主动控制技术,以实现两个不同混沌系统的同步。主配置和从配置被纳入分析。主要目的是设计一种主系统的顺序大于从系统的顺序的降序同步(ROS)方案。首先,实现了基于ROS的主动控制技术,然后将结果扩展到解决系统中存在时间延迟的低阶同步问题。基于Routh-Hurwitz准则和Lyapunov稳定性定理,证明了误差动力学的收敛性。通过Lorenz-Stenflo和Lü系统的详细仿真结果验证了理论结果。
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引用次数: 2
Pixel Corrected Adaptive Conductance Function based Diffusion Filter and Image Denoising using Bi-dimensional Empirical Mode Decomposition 基于像素校正自适应电导函数的扩散滤波和二维经验模态分解图像去噪
Pub Date : 2021-12-10 DOI: 10.1109/CAPS52117.2021.9730521
Himanshu Gupta, Himanshu Singh, Adarsh Kumar, A. Vishwakarma
In this paper, a method is proposed to denoise image based on semi-adaptive conductance function in anisotropic diffusion filter and bi-dimensional empirical mode decomposition. Here, the color image is utilized in the work to split the image into red, green and blue channels. To each channel component, the local difference value method is implemented where the noise contaminated pixels of the respective channel are replaced with the processed ones in which a Gaussian filter is used for smoothing. The bi-dimensional empirical mode decomposition decomposes the channel into its constituent intrinsic mode functions and the diffusion filter is applied to them. The various function parameters define the extent of diffusion to the channel like connectivity, conductance function, number of iterations and gradient threshold. Here, the conductance function is made semi-adaptive by introducing the gradient value of the image to the threshold parameter along with a preset constant term. The processed intrinsic mode functions, obtained by applying the modified diffusion filter in the conductance function, of each channel are combined and the final image is reconstructed by merging all the three channels. The experimented results thus obtained are evaluated and compared with other existing techniques based on the performance parameters like peak signal-to-noise ratio, mean square error and, structural similarity index and concluded that the proposed method is superior and efficient in both image denoising and feature retention.
本文提出了一种基于各向异性扩散滤波中的半自适应电导函数和二维经验模态分解的图像去噪方法。在这里,作品中利用彩色图像将图像分割成红、绿、蓝三个通道。对于每个通道分量,实现了局部差分值法,将各自通道的噪声污染像素替换为高斯滤波器平滑处理后的像素。二维经验模态分解将信道分解为其组成的本征模态函数,并对其进行扩散滤波。各种函数参数定义了扩散到通道的程度,如连通性,电导函数,迭代次数和梯度阈值。在这里,通过将图像的梯度值与预设的常数项一起引入阈值参数,使电导函数实现半自适应。对电导函数应用改进的扩散滤波得到的处理后的各通道的固有模态函数进行合并,将三个通道合并后重建最终图像。根据峰值信噪比、均方误差、结构相似度等性能参数,对实验结果进行了评价,并与现有方法进行了比较,结果表明本文方法在图像去噪和特征保留方面都具有优越性和有效性。
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引用次数: 1
Designing of Automatic Corridor Lighting System Using PIR Motion Sensor 基于PIR运动传感器的走廊自动照明系统设计
Pub Date : 2021-12-10 DOI: 10.1109/CAPS52117.2021.9730730
Pratibha, Ritik Rajput, Anita Yadav, Akhtar Saleem Ansari, M. Husain, S. P. Singh
Electrical energy increases its vast area day by day. Just like water it becomes necessary to save power for betterment of our future. So, an idea came into our minds why not we develop a technique for reducing the power demand by making corridor's lights efficient. In this documentation we discuss the experiment which was implemented in Electrical Engineering department's corridor of Rajkiya Engineering College Ambedkar Nagar, Uttar Pradesh, India. The main purpose of this experiment is to reduce the power consumption and make corridor lighting system to be more efficient. These experiments are mostly based on our observations that mainly college's corridor is used when the class period is going on and human movements during these period and the remaining time corridors are empty but the lights in corridor is always turn ON till the college is not over. To dealing this problem we use PIR (Passive Infrared) motion Sensor. PIR sensor is low-cost device and helps to minimizes the electricity bill. Finally, after implementation of this experiment we found drastic change in power consumption and it reduced by 77.78%.
电能日益增加其广阔的面积。就像水一样,为了我们未来的美好,我们必须节约能源。所以,我们想到了一个想法,为什么不开发一种技术,通过提高走廊的照明效率来减少电力需求呢?在本文档中,我们讨论了在印度北方邦安贝德卡尔纳加尔Rajkiya工程学院电气工程系走廊实施的实验。本实验的主要目的是为了降低走廊照明系统的功耗,使其更高效。这些实验主要是基于我们的观察,主要是在上课的时候使用大学的走廊,在这段时间里有人活动,剩下的时间走廊是空的,但是走廊的灯总是开着,直到大学还没有结束。为了解决这个问题,我们使用了被动红外运动传感器。PIR传感器是一种低成本的设备,有助于减少电费。最后,在实验实施后,我们发现功耗发生了巨大的变化,降低了77.78%。
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引用次数: 0
COVID-19 Lifeguard: A Compact Wearable-IoT (W-IoT) System for Health Safety and Protection of Outgoers in the Post- Lockdown World COVID-19救生员:紧凑型可穿戴物联网(W-IoT)系统,用于封锁后世界的健康安全和保护
Pub Date : 2021-12-10 DOI: 10.1109/CAPS52117.2021.9730595
G. Deo, C. Mahamuni, Ayushi Mishra
Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which has spread worldwide, creating an unprecedented pandemic situation. Due to rapid spreading, the pandemic forced several nations to impose lockdown for isolating the population and new policies of quarantine were adopted. After the government eased the restrictions, the most prominent challenges faced by daily commuters (employees or students) include maintaining a safe distance from others, regular sanitization, and washing hands, wearing masks and face shields, contact tracing, etc. It is quite difficult to practice social distancing and always use hand sanitizer when using public transport or at the workplace and people do not have a track of their temperature, heart rate, and oxygen saturation level. Though it is ideal to avoid traveling, when necessary some factors need to be considered such as personal hygiene, contactless interaction, disinfection, and monitoring important health parameters. Given this, we aim to develop an IoT-enabled compact wearable system including all essential features like an electronic face mask, an automatic sanitizer dispenser, and a Temperature-SpO2 monitoring wearable to avoid any physical touch and discomfort and alert the nearby doctors about irregularity in any parameter through the GSM module. The results of the software simulation of the system and the web-scraping using Python software to extract coordinates of containment zones are discussed in the paper.
2019冠状病毒病(COVID-19)是一种由严重急性呼吸综合征冠状病毒2 (SARS-CoV-2)引起的传染病,目前已在全球蔓延,形成了前所未有的大流行局面。由于疫情迅速蔓延,一些国家不得不采取封锁措施,隔离人口,并采取了新的隔离政策。在政府放宽限制后,日常通勤者(员工或学生)面临的最突出的挑战是与他人保持安全距离,定期进行卫生处理,洗手,戴口罩和面罩,追踪接触者等。在乘坐公共交通工具或工作场所时,很难保持社会距离,经常使用洗手液,而且人们不知道自己的体温、心率、血氧饱和度。虽然避免旅行是理想的,但必要时需要考虑一些因素,如个人卫生、非接触接触、消毒和监测重要的健康参数。考虑到这一点,我们的目标是开发一种支持物联网的紧凑型可穿戴系统,包括所有基本功能,如电子口罩、自动消毒剂分发器和温度- spo2监测可穿戴设备,以避免任何身体接触和不适,并通过GSM模块提醒附近的医生任何参数的不规律。讨论了该系统的软件仿真结果和利用Python软件进行网络抓取提取围堵区域坐标的结果。
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引用次数: 0
Minor Component Analysis Based Design of Low Pass and BandPass FIR Digital Filter Using Particle Swarm Optimization and Fractional Derivative 基于小分量分析的低通和带通FIR数字滤波器的粒子群优化和分数阶导数设计
Pub Date : 2021-12-10 DOI: 10.1109/CAPS52117.2021.9730580
Kuldeep Baderia, A. Kumar, N. Agrawal, Ranjeet Kumar
In this work, a new approach lean on minor component analysis (MCA) neural learning and fractional derivative (FD) is introduced for the design of digital finite impulse response (FIR) filters. In this method, design problem is modeled as summation of integral error in passband and stopband region in term of polyphase components (PCs) of a FIR filter in frequency domain, which is solved by an efficient machine learning algorithm called minor component analysis (MCA) neural learning. For more accurate frequency response, fractional derivative is applied at a reference point in passband, and the resulted fractional derivative constraints (FDCs) are optimized by particle swarm based techniques, using an objective function formulated as summation of maximum error in pass band and stop band region and stopband attenuation (in magnitude) of a FIR filter. The comparative study with recently published results evidence the impact of proposed method.
本文提出了一种基于小分量分析(MCA)、神经学习和分数阶导数(FD)的数字有限脉冲响应(FIR)滤波器设计方法。在该方法中,设计问题被建模为FIR滤波器在频域多相分量(PCs)下通带和阻带区域积分误差的总和,并通过一种称为小分量分析(MCA)神经学习的高效机器学习算法来求解。为了获得更精确的频率响应,在通带的参考点上应用分数阶导数,并使用基于粒子群的技术优化得到的分数阶导数约束(fdc),目标函数表示为FIR滤波器在通带和阻带区域的最大误差和阻带衰减(幅度)的总和。与最近发表的研究结果的比较研究证明了所提出方法的影响。
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引用次数: 0
Efficient cluster based protection strategy to improve survivability in optical networks 基于集群的有效保护策略提高光网络的生存能力
Pub Date : 2021-12-10 DOI: 10.1109/CAPS52117.2021.9730634
M. Rajvaidya, Deepak Batham
Efficient routing with 100% survivability level is one of the challenging task for wavelength division multiplexing (WDM) optical networks. In this paper, we have proposed an efficient cluster based protection (CBP) strategy to improve the survivability in WDM optical networks. CBP strategy provides protection against a single link failure. In CBP, the connection requests are classified into different clusters. The requests having link-disjoint primary paths are considered in the same cluster. Each cluster is processed one by one as per the decreasing order of cluster size or the number of requests in a cluster. Simulation results of the proposed CBP strategy shows improved performance on the evaluating parameter of blocking probability (BP), resource overbuild (RO) and link load (LL) in comparison to the traditional shared path protection (SPP) strategy. CBP strategy shows 16.51 % and 12.57 % reduction in BP and RO, respectively. Also, the CBP distributes traffic load uniformly along each link of the network which is demonstrated by LL metric.
具有100%生存水平的高效路由是波分复用(WDM)光网络的挑战之一。为了提高WDM光网络的生存性,提出了一种有效的基于簇的保护策略。CBP策略提供针对单个链路故障的保护。在CBP中,连接请求被分类到不同的集群中。具有不连接主路径的请求被认为在同一个集群中。每个集群按照集群大小或集群中请求数量的递减顺序逐一处理。仿真结果表明,与传统的共享路径保护(SPP)策略相比,所提出的CBP策略在阻塞概率(BP)、资源过度构建(RO)和链路负载(LL)等评价参数上都有提高。CBP策略显示BP和RO分别降低16.51%和12.57%。此外,CBP在网络的每条链路上均匀地分配流量负载,这是由LL度量证明的。
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引用次数: 0
A Simulation of Different Characteristics of Solar PV Grid Connected System 太阳能光伏并网系统不同特性的仿真
Pub Date : 2021-12-10 DOI: 10.1109/CAPS52117.2021.9730472
P. Joshi, S. R. Vaishnav
Solar energy is one of the most important non-conventional resources that can be used to produce electric energy through the solar photovoltaic process. A powerful advantage of solar photovoltaic (PV) systems is the use of comfortable and free energy from the sun. The characteristic of photovoltaic cell/array/module solar systems is necessary to gain a good show of structure under various conditions. The characteristics permit the simulation of photovoltaic cell/array/module systems that receive various solar temperatures and illumination levels. The solar array for a PV array turns on the unspecified variable, sometimes they turn on meteorological. This research paper expands the algebraic model in MATLAB/ Simulink environment of solar PV array system and plots different characteristics like Io - VO, Po-Vo, and Po- Io of solar array photovoltaic cell/array/module System
太阳能是一种重要的非传统能源,可以通过太阳能光伏工艺生产电能。太阳能光伏(PV)系统的一个强大优势是使用舒适和免费的太阳能。光伏电池/阵列/组件太阳能系统的特性是在各种条件下获得良好的结构表现所必需的。这些特性允许模拟接收不同太阳温度和光照水平的光伏电池/阵列/模块系统。光伏阵列的太阳能电池阵列打开了未指定的变量,有时它们打开了气象。本文在MATLAB/ Simulink环境下扩展了太阳能光伏阵列系统的代数模型,绘制了太阳能光伏阵列电池/阵列/组件系统的Io - VO、Po- VO、Po- Io等不同特性
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引用次数: 1
Optimal Placement of Modules in PV Array Systems to Achieve Higher GMPP under Obscured Irradiations 遮挡辐射下光伏阵列系统中组件的优化配置以实现更高的GMPP
Pub Date : 2021-12-10 DOI: 10.1109/CAPS52117.2021.9730692
R. Pachauri, A. Minai, Vikas Pandey, Shashikant, Vaibhav Goyal, Raktangi Swain
Partial shading has degrading effects on output productivity of the photovoltaic (PV) arrays that can be mitigated by various techniques for altering the connections of the PV modules. This paper proposes a technique to diminish the effects of shadowing on PV systems and to achieve greater global power maxima (GMPP) with the help of puzzle theory-based approaches such as the proposed algorithm to design a 6×6 size array. An investigation into the traditional electrical arrangements, e.g., Series-parallel (SP) and Total-cross-tied (TCT), is compared with in this paper. In addition, the proposed algorithm is helpful to arrange PV modules for enhancement power maxima values during non-uniform irradiation levels. MATLAB/Simulink based results are analyzed in terms of power loss (PL) and fill factor (FF). Critical observation carries the burden of showing the effective outcomes of the proposed PV array arrangement. The present paper is useful for academicians and researchers working to find new methods to decrease the partial shadowing effect on PV arrays to secure higher GMPP locations.
部分遮阳对光伏(PV)阵列的输出生产率有降低的影响,可以通过改变PV模块连接的各种技术来减轻。本文提出了一种技术,以减少阴影对光伏系统的影响,并在基于谜题理论的方法的帮助下实现更大的全局功率最大值(GMPP),例如所提出的算法来设计6×6大小的阵列。本文对传统的电气布置,如串并联(SP)和全交扎(TCT)进行了比较研究。此外,该算法有助于在非均匀辐照水平下排列光伏组件增强功率最大值。基于MATLAB/Simulink的结果分析了功率损耗(PL)和填充因子(FF)。关键观察承担了显示所提出的PV阵列布置的有效结果的责任。本文对致力于寻找新方法来减少光伏阵列的部分阴影效应以确保更高GMPP位置的学者和研究人员有用。
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引用次数: 6
Electrocardiogram Compression using Optimized TQWT and Dead-Zone Quantizer 利用优化的TQWT和死区量化器进行心电图压缩
Pub Date : 2021-12-10 DOI: 10.1109/CAPS52117.2021.9730603
H. Pal, Adarsh Kumar, A. Vishwakarma
In the biomedical field, electrocardiogram (ECG) recording produces a large amount of data, which are stored in a digitized format for monitoring and diagnosis purposes. In this regard, it is essential to reduce data size due to memory constraints in ambulatory and tel-e-medicine systems. This paper proposes an algorithm using optimized tunable-Q wavelet transform (TQWT) to reduce the memory requirement. It has the flexibility to tune its parameters to obtain the desired compression. For optimizing the parameters of TQWT, nature-inspired algorithm ant colony optimization (ACO) is used. The compression is achieved by using a dead-zone quantizer (DZQ) and run-length encoding (RLE). Results illustrate that significant compression has been achieved at the cost of acceptable distortion in the signal quality. The performance of the proposed technique is evaluated using percentage-root-mean square difference (PRD), compression ratio (CR), and quality score (QS). The average value obtained of CR, PRD, and QS are given as 22.42, 4.52%, and 6.05, respectively.
在生物医学领域,心电图(ECG)记录产生大量数据,这些数据以数字化格式存储,用于监测和诊断。在这方面,由于门诊和远程电子医疗系统的内存限制,减少数据大小至关重要。本文提出了一种利用优化可调q小波变换(TQWT)来降低存储需求的算法。它可以灵活地调整参数以获得所需的压缩。对于TQWT的参数优化,采用了自然启发算法蚁群优化(ACO)。压缩是通过使用死区量化器(DZQ)和运行长度编码(RLE)来实现的。结果表明,以信号质量可接受的失真为代价,实现了显著的压缩。采用百分比-均方根差(PRD)、压缩比(CR)和质量评分(QS)来评估所提出技术的性能。所得CR、PRD和QS的平均值分别为22.42、4.52%和6.05。
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引用次数: 2
Design of fractional IMC controller for stable fractional order systems using firefly algorithm 用萤火虫算法设计稳定分数阶系统的分数阶IMC控制器
Pub Date : 2021-12-10 DOI: 10.1109/CAPS52117.2021.9730735
K. Gnaneshwar, Rishika Trivedi, Bharat Verma, P. Padhy
In this paper design of fractional order controller for stable systems based on the IMC approach is presented. The proposed method creates a filter internally; therefore, phase lag obtained by an external filter in the system response can be avoided with the proposed method. It has the capacity to regulate the transient response and robustness of the system with a single parameter. This parameter plays a vital role to obtain the optimum response. Hence, a metaheuristic algorithm is considered. Numerous performance parameters and performance are considered to examine the proposed methodology efficacy. The proposed methodology performance has been carried out under load disturbance, robustness analysis. Also, its performance has been compared with various existing techniques.
本文提出了一种基于内模控制方法的稳定系统分数阶控制器的设计。所提出的方法在内部创建一个过滤器;因此,该方法可以避免系统响应中外部滤波器产生的相位滞后。它具有调节系统暂态响应的能力和单参数系统的鲁棒性。该参数对获得最优响应起着至关重要的作用。因此,本文考虑了一种元启发式算法。考虑了许多性能参数和性能来检验所提出的方法的有效性。所提出的方法在负载扰动下进行了性能、鲁棒性分析。并将其性能与现有的各种技术进行了比较。
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引用次数: 0
期刊
2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)
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