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An intelligent optimization technique for performance improvement in radial distribution network 径向配电网性能改进的智能优化技术
IF 1 Q4 ROBOTICS Pub Date : 2022-06-06 DOI: 10.1108/ijius-04-2022-0052
Rafi Vempalle, Dhal Pradyumna Kumar
PurposeThe demand for electricity supply increases day by day due to the rapid growth in the number of industries and consumer devices. The electric power supply needs to be improved by properly arranging distributed generators (DGs). The purpose of this paper is to develop a methodology for optimum placement of DGs using novel algorithms that leads to loss minimization.Design/methodology/approachIn this paper, a novel hybrid optimization is proposed to minimize the losses and improve the voltage profile. The hybridization of the optimization is done through the crow search (CS) algorithm and the black widow (BW) algorithm. The CS algorithm is used for finding some tie-line systems, DG locations, and the BW algorithm is used for finding the rest of the tie-line switches, DG sizes, unlike in usual hybrid optimization techniques.FindingsThe proposed technique is tested on two large-scale radial distribution networks (RDNs), like the 119-bus radial distribution system (RDS) and the 135 RDS, and compared with normal hybrid algorithms.Originality/valueThe main novelty of this hybridization is that it shares the parameters of the objective function. The losses of the RDN can be minimized by reconfiguration and incorporating compensating devices like DGs.
目的由于工业和消费设备数量的快速增长,对电力供应的需求与日俱增。需要通过适当安排分布式发电机来改善电力供应。本文的目的是开发一种使用新算法优化DG布局的方法,该算法可使损耗最小化。设计/方法/途径本文提出了一种新的混合优化方法,以最小化损耗并改善电压分布。通过乌鸦搜索(CS)算法和黑寡妇(BW)算法进行了优化的混合。与通常的混合优化技术不同,CS算法用于查找一些联络线系统、DG位置,BW算法用于查找其余联络线开关、DG大小。发现所提出的技术在两个大型径向配电网(RDN)上进行了测试,如119总线径向配电系统(RDS)和135 RDS,并与常规混合算法进行了比较。独创性/价值这种杂交的主要新颖之处在于它共享目标函数的参数。RDN的损耗可以通过重新配置和结合DG等补偿设备来最小化。
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引用次数: 0
Optimal design of artificial bee colony based UAV routing (ABCUR) algorithm for healthcare applications 用于医疗保健应用的基于人工蜂群的无人机路由(ABCUR)算法的优化设计
IF 1 Q4 ROBOTICS Pub Date : 2022-05-18 DOI: 10.1108/ijius-08-2021-0099
J. Vijitha Ananthi, P. Subha Hency Jose
PurposeTo avoid this situation, the authors proposed an optimal artificial bee colony algorithm-based Unmanned Aerial Vehicle (UAV) routing algorithm for efficient data communication between doctors and patients. This proposed method worked in three stages.Design/methodology/approachIn recent decades, wireless body area networks have played an important role in health care applications. It facilitates the transmission of the patients' health data analysis report to the appropriate doctors.FindingsIn the first phase, biological sensors are connected to the human body via a controller node and collected data is transmitted via Bluetooth to the Personal Device Assistant (PDA). In the second phase, collected data will be transmitted via the Internet of things using an artificial bee colony algorithm. The second aids in determining the best route. In the third phase, unmanned aerial vehicles will use the best path to send collected data to doctors, caregivers, ambulances and cloud storage servers.Originality/valueThe simulation results show that the network's performance is superior when compared to existing approaches. The proposed algorithm achieves a high throughput, a lower delay, a higher link rate and a higher delivery rate.
为了避免这种情况,作者提出了一种基于最优人工蜂群算法的无人机(UAV)路由算法,实现医患之间高效的数据通信。这个建议的方法分三个阶段起作用。设计/方法/方法近几十年来,无线体域网络在医疗保健应用中发挥了重要作用。它便于将患者的健康数据分析报告传送给相应的医生。在第一阶段,生物传感器通过控制节点与人体连接,收集的数据通过蓝牙传输到个人设备助理(PDA)。在第二阶段,收集的数据将使用人工蜂群算法通过物联网传输。第二种方法有助于确定最佳路线。在第三阶段,无人机将使用最佳路径将收集到的数据发送给医生、护理人员、救护车和云存储服务器。仿真结果表明,该网络的性能优于现有的方法。该算法具有较高的吞吐量、较低的时延、较高的链路速率和较高的传输速率。
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引用次数: 1
Predicting arrhythmia, atrial fibrillation from electrocardiogram signals using Pivot Range Fitness Scale-Based Machine Learning Model 利用基于枢轴范围适应度量表的机器学习模型从心电图信号预测心律失常、房颤
IF 1 Q4 ROBOTICS Pub Date : 2022-04-22 DOI: 10.1108/ijius-11-2021-0140
S. Jyothi, Geetanjali Nelloru
PurposePatients having ventricular arrhythmias and atrial fibrillation, that are early markers of stroke and sudden cardiac death, as well as benign subjects are all studied using the electrocardiogram (ECG). In order to identify cardiac anomalies, ECG signals analyse the heart's electrical activity and show output in the form of waveforms. Patients with these disorders must be identified as soon as possible. ECG signals can be difficult, time-consuming and subject to inter-observer variability when inspected manually.Design/methodology/approachThere are various forms of arrhythmias that are difficult to distinguish in complicated non-linear ECG data. It may be beneficial to use computer-aided decision support systems (CAD). It is possible to classify arrhythmias in a rapid, accurate, repeatable and objective manner using the CAD, which use machine learning algorithms to identify the tiny changes in cardiac rhythms. Cardiac infractions can be classified and detected using this method. The authors want to categorize the arrhythmia with better accurate findings in even less computational time as the primary objective. Using signal and axis characteristics and their association n-grams as features, this paper makes a significant addition to the field. Using a benchmark dataset as input to multi-label multi-fold cross-validation, an experimental investigation was conducted.FindingsThis dataset was used as input for cross-validation on contemporary models and the resulting cross-validation metrics have been weighed against the performance metrics of other contemporary models. There have been few false alarms with the suggested model's high sensitivity and specificity.Originality/valueThe results of cross validation are significant. In terms of specificity, sensitivity, and decision accuracy, the proposed model outperforms other contemporary models.
目的对具有室性心律失常和心房颤动(中风和心源性猝死的早期标志物)的患者以及良性受试者进行心电图研究。为了识别心脏异常,心电图信号分析心脏的电活动,并以波形的形式显示输出。必须尽快发现患有这些疾病的患者。当手动检查时,ECG信号可能是困难的、耗时的并且会受到观察者之间的可变性的影响。设计/方法/方法在复杂的非线性心电图数据中,心律失常的形式多种多样,难以区分。使用计算机辅助决策支持系统(CAD)可能是有益的。使用CAD可以快速、准确、可重复和客观地对心律失常进行分类,CAD使用机器学习算法来识别心律的微小变化。使用这种方法可以对心肌梗死进行分类和检测。作者希望在更少的计算时间内以更准确的结果对心律失常进行分类,作为主要目标。本文利用信号和轴的特征及其关联n图作为特征,对该领域进行了重要的补充。使用基准数据集作为多标签多重交叉验证的输入,进行了实验研究。发现该数据集被用作当代模型交叉验证的输入,由此产生的交叉验证指标已与其他当代模型的性能指标进行了权衡。由于所提出的模型具有高灵敏度和特异性,很少出现误报。原创性/价值交叉验证的结果意义重大。在特异性、敏感性和决策准确性方面,所提出的模型优于其他当代模型。
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引用次数: 0
Group movement of UAVs in environment with dynamic obstacles: a survey 动态障碍物环境下无人机群体运动研究
IF 1 Q4 ROBOTICS Pub Date : 2022-03-04 DOI: 10.1108/ijius-06-2021-0038
Valeriia Izhboldina, I. Lebedev
PurposeThe successful application of the group of unmanned aerial vehicles (UAVs) in the tasks of monitoring large areas is becoming a promising direction in modern robotics. This paper aims to study the tasks related to the control of the UAV group while performing a common mission.Design/methodology/approachThis paper discusses the main tasks solved in the process of developing an autonomous UAV group. During the survey, five key tasks of group robotics were investigated, namely, UAV group control, path planning, reconfiguration, task assignment and conflict resolution. Effective methods for solving each problem are presented, and an analysis and comparison of these methods are carried out. Several specifics of various types of UAVs are also described.FindingsThe analysis of a number of modern and effective methods showed that decentralized methods have clear advantages over centralized ones, since decentralized methods effectively perform the assigned mission regardless of on the amount of resources used. As for the method of planning the group movement of UAVs, it is worth choosing methods that combine the algorithms of global and local planning. This combination eliminates the possibility of collisions not only with static and dynamic obstacles, but also with other agents of the group.Originality/valueThe results of scientific research progress in the tasks of UAV group control have been summed up.
目的无人机在大面积监测任务中的成功应用正在成为现代机器人技术的一个有前途的方向。本文旨在研究无人机群在执行共同任务时的控制相关任务。设计/方法论/方法本文讨论了开发自主无人机群过程中解决的主要任务。在调查过程中,研究了群组机器人的五项关键任务,即无人机群组控制、路径规划、重构、任务分配和冲突解决。提出了解决每个问题的有效方法,并对这些方法进行了分析和比较。还描述了各种类型的无人机的几个细节。对一些现代有效方法的分析表明,分散的方法比集中的方法有明显的优势,因为分散的方法无论使用多少资源都能有效地执行指定的任务。关于无人机群体运动的规划方法,值得选择将全局规划和局部规划算法相结合的方法。这种组合不仅消除了与静态和动态障碍物碰撞的可能性,还消除了与群体中其他主体碰撞的可能性。原创性/价值总结了无人机群控任务的科研进展成果。
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引用次数: 1
A novel miniaturized, multiband, AMC-integrated CPW-fed antenna operating at millimetric wave frequencies suitable for IoT applications 一种适用于物联网应用的新型小型化、多频带、AMC集成CPW馈电天线,工作频率为毫米波
IF 1 Q4 ROBOTICS Pub Date : 2022-02-25 DOI: 10.1108/ijius-10-2021-0118
Khader Zelani Shaik, P. Siddaiah, K. Satya Prasad
PurposePlanar periodic metallic arrays behave as artificial magnetic conductor (AMC) surfaces when placed on a grounded dielectric substrate, and they introduce a zero-degree reflection phase shift to incident waves. The antenna designers have new challenges while designing the AMC structure. The steps followed in designing the structure are as follows: 1) Designing the antenna, aimed to operate at millimetric wave frequencies, (2) Designing the AMC at desired frequencies, (3) Integrating the antenna design and AMC to resonate at millimetric wave frequencies and (4) Validate the output parameters of the antenna to be suitable for Internet of Things (IoT) applications.Design/methodology/approachThe antenna is integrated with artificial material known as high impedance surface (HIS) for performance enhancement. A miniaturized, multiband, enhanced gain, AMC-integrated CPW-fed antenna is proposed and aimed to operate at millimetric wave frequencies, which is most suitable for IoT applications. The developed antenna operates at an extremely high range (30–300 GHz), i.e. from 40 to 60 GHz with the return loss values at lesser than −20 dB, and gain is greater than 10. The antenna is developed and simulated by using HFSS software.FindingsAn extensive research study has been carried out to develop a low profile, high gain and optimized antenna. The first two steps are separately designing the antenna and the AMC unit cell at the desired frequencies. The third step is finding the antenna or AMC radiating parts responsible for each resonant frequency by analysing the surface current distribution. CPW fed along with AMC integration has made the antenna feasible to achieve the extremely high frequency (EHF) range, i.e. 40–60 GHz, which is highly adoptable in IoT applications.Originality/valueThe result represented that the developed antenna is resonating at EHF rank with high gain and good imped matching when it is being compared with the previous models and has only CPW fed without having AMC structure integration. It is evident that the antenna which has only CPW fed has resonated at lower frequency than EHF range and justified output characteristics. But when it is embedded with the AMC structure, it resonates at the EHF range, which makes the antenna highly suitable for IoT applications, with more accuracy and high data rate possibility.
目的平面周期性金属阵列放置在接地的电介质衬底上时,表现为人工磁导体(AMC)表面,并且它们对入射波引入零度反射相移。天线设计者在设计AMC结构时面临着新的挑战。设计结构的步骤如下:1)设计天线,旨在以毫米波频率工作,(2)以所需频率设计AMC,(3)集成天线设计和AMC,以在毫米波频率下谐振,以及(4)验证天线的输出参数是否适合物联网(IoT)应用。设计/方法/方法天线与被称为高阻抗表面(HIS)的人造材料集成,以提高性能。提出了一种小型化、多频带、增强增益的AMC集成CPW馈电天线,旨在以毫米波频率工作,这最适合物联网应用。所开发的天线工作在极高的范围(30–300 GHz),即从40到60 GHz,回波损耗值小于−20 dB,增益大于10。利用HFSS软件对天线进行了开发和仿真。为了开发一种低剖面、高增益和优化的天线,人们进行了广泛的研究。前两个步骤是在所需频率下分别设计天线和AMC单元。第三步是通过分析表面电流分布来找到负责每个谐振频率的天线或AMC辐射部分。CPW与AMC集成使天线能够实现极高频率(EHF)范围,即40–60 GHz,这在物联网应用中高度可采用。独创性/价值结果表明,与以前的模型相比,所开发的天线在EHF级谐振,具有高增益和良好的阻抗匹配,并且仅馈送CPW而不集成AMC结构。很明显,只有CPW馈电的天线在比EHF范围更低的频率下谐振,并且具有合理的输出特性。但当它嵌入AMC结构时,它在EHF范围内产生谐振,这使得天线非常适合物联网应用,具有更高的精度和高数据速率的可能性。
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引用次数: 0
Microstructure investigations and optimisation of maraging steel parts for UAV applications 无人机用马氏体时效钢零件的微观结构研究与优化
IF 1 Q4 ROBOTICS Pub Date : 2022-02-24 DOI: 10.1108/ijius-11-2021-0136
Rama Pavan Kumar Varma Indukuri, Rama Murty Raju Penmetsa, S. R. Chalamalasetti, Rajesh Siriyala
PurposeMilitary and unmanned aerial vehicles (UAV) applications like rocket motor casings, missile covers and ship hulls use components that are made of maraging steel. Maraging steel has properties that are superior to other metals, making it more suitable for the fabrication of such components. A grey relational analysis (GRA) that is based on the Taguchi method has been utilised in the current study to optimise a laser beam welding (LBW) process. Further aspects such as GRA's optimum ranges and percentage contributions were also estimated.Design/methodology/approachA Taguchi L16 orthogonal array is utilised to design and conduct the experiments. Laser power (LP), welding speed (WS) and focal position (FP) are the three parameters are chosen for the process of welding. The output responses are the upper width of the heat-affected zone (HAZup), the upper width of the fusion zone (FZup) and the depth of penetration (DOP). The effect of the above key parameters on the responses was examined using an analysis of variance (ANOVA).FindingsThe results of ANOVA reveal that the parameter that has the most influence on the overall grey relational grade (GRG) is the FP. Finally, metallographic characterisation and a microstructural analysis are conducted on the weld bead geometry to demarcate the zone of HAZ and fusion zone (FZ).Originality/valueAs the most important criteria for LBW of maraging steels is the provision of higher DOP, higher FZ width and lower heat-affected zone, the study intended to prove the applicability of GRA technique in solving multi-objective optimisation problems in applications like defence and unmanned systems.
目的军用和无人机(UAV)应用,如火箭发动机外壳、导弹外壳和船体,都使用由马氏体钢制成的部件。马氏体时效钢具有优于其他金属的性能,使其更适合制造此类部件。基于田口方法的灰色关联分析(GRA)已用于当前的研究,以优化激光束焊接(LBW)工艺。还对GRA的最佳范围和贡献百分比等其他方面进行了估计。设计/方法/方法利用田口L16正交阵列设计和进行实验。选择激光功率(LP)、焊接速度(WS)和焦点位置(FP)三个参数进行焊接。输出响应是热影响区的上宽度(HAZup)、熔合区的上宽(FZup)和穿透深度(DOP)。使用方差分析(ANOVA)检验了上述关键参数对反应的影响。结果ANOVA的结果表明,对总体灰关联度(GRG)影响最大的参数是FP。最后,对焊缝几何形状进行金相表征和微观结构分析,以划分HAZ和熔合区(FZ)。原创性/价值由于马氏体时效钢LBW的最重要标准是提供更高的DOP、更高的FZ宽度和更低的热影响区,该研究旨在证明GRA技术在国防和无人系统等应用中解决多目标优化问题的适用性。
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引用次数: 0
Aerodynamic and structural performances of a single-stage transonic axial compressor with blade fillet radius 叶片圆角半径单级跨音速轴流压气机的气动和结构性能
IF 1 Q4 ROBOTICS Pub Date : 2022-02-02 DOI: 10.1108/ijius-07-2021-0069
H. Chu, C. Dinh
PurposeThis study’s investigation aims to clarify the effect of an additional geometry, i.e. a fillet radius, to the blades of a single-stage transonic axial compressor, NASA Stage 37, on its aerodynamic and structural performances.Design/methodology/approachApplying the commercial simulation software and the one-way fluid–structure interaction (FSI) approach, this study first evaluated the simulation results with the experimental data for the aerodynamic performances. Second, this paper compared the structural performances between the models with and without fillets.FindingsThis research analyses the aerodynamic results (i.e. total pressure ratio, adiabatic efficiency, stall margin) and the structural outcomes (i.e. equivalent von Mises stress, total deformation) of the single-stage transonic axial compressor NASA Stage 37.Originality/valueThis paper mentions the influence of blade fillets (i.e. both rotor hub fillet and stator shroud fillet) on the compressor performances (i.e. the aerodynamic and structural performances).
目的本研究旨在阐明NASA 37级单级跨音速轴流压缩机叶片的附加几何形状(即圆角半径)对其空气动力学和结构性能的影响。设计/方法/方法应用商业模拟软件和单向流体-结构相互作用(FSI)方法,本研究首先用空气动力学性能的实验数据评估了模拟结果。其次,本文比较了带圆角和不带圆角的模型的结构性能。结果本研究分析了单级跨音速轴流压缩机NASA 37级的气动结果(即总压比、绝热效率、失速裕度)和结构结果(即等效冯-米塞斯应力、总变形)压缩机性能(即空气动力学和结构性能)。
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引用次数: 1
Aerodynamic and flight dynamic parametric studies of a flapping wing 扑翼的气动和飞行动力学参数研究
IF 1 Q4 ROBOTICS Pub Date : 2022-02-01 DOI: 10.1108/ijius-06-2021-0039
Tandralee Chetia, Dhayalan Rajaram, K. G. Sreejalekshmi
PurposeFlapping-wing vehicles show various advantages as compared to fixed wing vehicles, making flapping-wing vehicles' study necessary in the current scenario. The present study aims to provide guidelines for fixing geometric parameters for an initial engineering design by a simple aerodynamic and flight dynamic parametric study.Design/methodology/approachA mathematical analysis was performed to understand the aerodynamics and flight dynamics of the micro-air vehicle (MAV). Only the forces due to the flapping wing were considered. The flapping motion was considered to be a combination of the pitching and plunging motion. The geometric parameters of the flapping wing were varied and the aerodynamic forces and power were observed. Attempts were then made to understand the flight stability envelope of the MAV in a forward horizontal motion in the vertical plane with similar parametric studies as those conducted in the case of aerodynamics.FindingsFrom the aerodynamic study, insights were obtained regarding the interaction of design parameters with the aerodynamics and feasible ranges of values for the parameters were identified. The flapping wing was found to have neutral static stability. The flight dynamic analysis revealed the presence of an unstable oscillatory mode, a stable fast subsidence mode and a neutral mode, in the forward flight of the MAV. The presence of unstable modes highlighted the need for active control to restore the MAV to equilibrium from its unstable state.Research limitations/implicationsThe study does not take into account the effects of control surfaces and tail on the aerodynamics and flight dynamics of the MAV. There is also a need to validate the results obtained in the study through experimental means which shall be taken up in the future.Practical implicationsThe parametric study helps us to understand the extent of the impact of the design parameters on the aerodynamics and stability of the MAV. The analysis of both aerodynamics and dynamic stability provides a holistic picture for the initial design. The study incorporates complex mathematical equations and simplifies such to understand the aerodynamics and flight stability of the MAV from an engineering perspective.Originality/valueThe study adds to already existing knowledge on the design procedures of a flapping wing.
目的与固定翼飞行器相比,扑翼飞行器显示出各种优势,因此在当前情况下有必要对扑翼飞行器进行研究。本研究旨在通过简单的空气动力学和飞行动力学参数研究,为初始工程设计确定几何参数提供指导。设计/方法/方法进行数学分析,以了解微型飞行器(MAV)的空气动力学和飞行动力学。只考虑了扑翼产生的力。扑翼运动被认为是俯仰和俯冲运动的结合。改变扑翼的几何参数,观察扑翼的气动力和功率。然后,通过与空气动力学情况下进行的参数研究类似的参数研究,试图了解MAV在垂直面上向前水平运动的飞行稳定性包络线。发现从空气动力学研究中,获得了有关设计参数与空气动力学相互作用的见解,并确定了参数的可行取值范围。扑翼被发现具有中性静态稳定性。飞行动力学分析表明,在MAV的正向飞行中存在一种不稳定振荡模式、一种稳定快速沉降模式和一种中性模式。不稳定模式的存在突出了主动控制的必要性,以将MAV从其不稳定状态恢复到平衡。研究局限性/含义该研究没有考虑控制表面和尾部对MAV空气动力学和飞行动力学的影响。还需要通过实验手段验证研究中获得的结果,这将在未来采用。实际意义参数研究有助于我们了解设计参数对MAV空气动力学和稳定性的影响程度。空气动力学和动态稳定性的分析为初始设计提供了一个整体画面。该研究结合了复杂的数学方程,并将其简化,以从工程角度理解MAV的空气动力学和飞行稳定性。独创性/价值这项研究增加了关于扑翼设计程序的现有知识。
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引用次数: 0
Numerical study of aerodynamic performance and flow characteristics of a centrifugal blower 离心鼓风机气动性能及流动特性的数值研究
IF 1 Q4 ROBOTICS Pub Date : 2022-02-01 DOI: 10.1108/ijius-07-2021-0076
Thanh-Long Le, T. Nghia, Hong Duc Thong, Mai Hoang Kim Son
PurposeThis paper aims to focus on the effect of the operating condition such as the impeller speed on the centrifugal fan performance and flow characteristics. The ability to predict the behavior of the airflow motion in a centrifugal blower is essential for obtaining the topology optimization design.Design/methodology/approachA physical model of the air blower consisting of these main parts in a blower system: collector, impeller, outlet flange and volute casing, and the appropriate boundary conditions are set up by ANSYS software. Computation fluid dynamics are performed for the numerical analysis. The calculation of blower performance parameters such as total pressure, efficiency and flow rate is based on the Reynolds averaged Navier–Stokes equations and k-εturbulence flow model.FindingsThe numerical results show that the change in operating conditions has a significant effect on the blower performance, and the pressure maintained inside the blower is higher for a larger impeller rotational speed.Originality/valueThis work is original and has not yet been submitted to elsewhere or published previously.
目的研究叶轮转速等工况对离心风机性能及流动特性的影响。预测离心式鼓风机内气流运动特性的能力是实现拓扑优化设计的关键。设计方法利用ANSYS软件建立鼓风机系统中集热器、叶轮、出口法兰、蜗壳等主要部件组成的鼓风机物理模型,并给出相应的边界条件。采用流体力学计算方法进行数值分析。风机的总压、效率和流量等性能参数的计算基于Reynolds平均Navier-Stokes方程和k-ε湍流流动模型。结果表明,工况变化对风机性能有显著影响,叶轮转速越大,风机内部保持的压力越高。原创性/价值本作品是原创的,尚未提交给其他地方或以前发表过。
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引用次数: 4
Design of deep convolution feature extraction for multimedia information retrieval 用于多媒体信息检索的深度卷积特征提取设计
IF 1 Q4 ROBOTICS Pub Date : 2022-01-26 DOI: 10.1108/ijius-11-2021-0126
K. Venkataravana Nayak, J. Arunalatha, Dr. Vasanthakumar G. U., K. Venugopal
PurposeThe analysis of multimedia content is being applied in various real-time computer vision applications. In multimedia content, digital images constitute a significant part. The representation of digital images interpreted by humans is subjective in nature and complex. Hence, searching for relevant images from the archives is difficult. Thus, electronic image analysis strategies have become effective tools in the process of image interpretation.Design/methodology/approachThe traditional approach used is text-based, i.e. searching images using textual annotations. It consumes time in the manual process of annotating images and is difficult to reduce the dependency in textual annotations if the archive consists of large number of samples. Therefore, content-based image retrieval (CBIR) is adopted in which the high-level visuals of images are represented in terms of feature vectors, which contain numerical values. It is a commonly used approach to understand the content of query images in retrieving relevant images. Still, the performance is less than optimal due to the presence of semantic gap among the image content representation and human visual understanding perspective because of the image content photometric, geometric variations and occlusions in search environments.FindingsThe authors proposed an image retrieval framework to generate semantic response through the feature extraction with convolution network and optimization of extracted features using adaptive moment estimation algorithm towards enhancing the retrieval performance.Originality/valueThe proposed framework is tested on Corel-1k and ImageNet datasets resulted in an accuracy of 98 and 96%, respectively, compared to the state-of-the-art approaches.
目的多媒体内容分析在各种实时计算机视觉应用中得到了广泛的应用。在多媒体内容中,数字图像是一个重要的组成部分。人类对数字图像的解读具有主观性和复杂性。因此,从档案中寻找相关图像是困难的。因此,电子图像分析策略已成为图像解释过程中的有效工具。设计/方法/方法使用的传统方法是基于文本的,即使用文本注释搜索图像。手工对图像进行标注会消耗大量的时间,而且如果存档包含大量的样本,则难以减少对文本标注的依赖。因此,采用基于内容的图像检索(content-based image retrieval, CBIR),将图像的高级视觉效果用包含数值的特征向量表示。在检索相关图像时,理解查询图像的内容是一种常用的方法。然而,由于搜索环境中图像内容的光度、几何变化和遮挡等因素,在图像内容表示和人类视觉理解角度之间存在语义差距,导致性能不够理想。作者提出了一种图像检索框架,通过卷积网络特征提取和自适应矩估计算法对提取的特征进行优化来生成语义响应,从而提高检索性能。与最先进的方法相比,所提出的框架在Corel-1k和ImageNet数据集上进行了测试,其准确率分别为98%和96%。
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引用次数: 2
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International Journal of Intelligent Unmanned Systems
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