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Suitability of Torricelli’s Theorem Formulation in Cases of Leaking Reservoirs with Video Analysis Tracker 托里拆利定理公式在带视频分析跟踪器的泄漏油藏中的适用性
Q1 OPTICS Pub Date : 2023-11-01 DOI: 10.1088/1742-6596/2623/1/012021
M Habibbulloh, M Anggaryani, M Satriawan, O Saputra, A Zakaria, F Septiawan
Abstract This study aims to empirically prove the Torricelli equation formula in the case of leaky reservoirs with the help of video tracker analysis. The method used in this research is quantitative descriptive. The experiment was carried out with a simple tool: a 19-liter gallon of water filled with water and dyed, and then three holes were made vertically with different heights. The gallon is filled with water with a constant water level. Next, take a video of each leaking hole. Video is analyzed with Tracker software. Variables observed were the velocity of water exiting from the leak point ( v ), the time it took for water to gush from the leak point to the bottom ( t ), and the horizontal distance from the leak point position to the bottom ( x ). The results obtained based on video analysis with the tracker are that the farther the distance from the surface of the water to the leak point, the farther the horizontal distance of the resulting jet of water will be. This study concludes that theoretical data and experimental data have significant value, so the video analysis tracker software is feasible to use in dynamic and static fluid learning.
摘要本研究旨在借助视频跟踪器分析,对漏泄油藏情况下的托里拆利方程公式进行实证证明。本研究采用定量描述方法。实验是用一个简单的工具进行的:一加仑19升的水装满水并染色,然后垂直地打三个不同高度的洞。加仑装满了恒定水位的水。接下来,拍下每个渗漏孔的视频。用Tracker软件分析视频。观察到的变量是水从泄漏点流出的速度(v),水从泄漏点喷涌到底部所需的时间(t),以及泄漏点位置到底部的水平距离(x)。基于跟踪器的视频分析结果表明,从水面到泄漏点的距离越远,产生的水射流的水平距离越远。研究结果表明,理论数据和实验数据都具有重要的价值,因此视频分析跟踪软件在动态和静态流体学习中都是可行的。
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引用次数: 0
Student Digital Literacy Analysis in Physics Learning Through Implementation Digital-Based Learning Media 基于数字化学习媒体的物理学习中学生数字素养分析
Q1 OPTICS Pub Date : 2023-11-01 DOI: 10.1088/1742-6596/2623/1/012023
F K A Anggraeni, L Nuraini, A Harijanto, S H B Prastowo, S Subiki, B Supriadi, M Maryani
Abstract Currently, the utilization of technology is needed in education as a learning media. This integration demands digital literacy skills. Hence, this research examines the digital literacy skills of Physics Education students at Jember University. This research is descriptive research with data collection methods using questionnaires. Analyzing the questionnaire results follows descriptive analysis techniques. The research findings indicate that students display good digital literacy skills in terms of operational abilities, excellent critical understanding skills, and satisfactory communication skills through media. Therefore, Physics Education students at Jember University possess good digital literacy when utilizing digital-based learning media.
当前,教育需要利用技术作为学习媒介。这种整合需要数字素养技能。因此,本研究考察了Jember大学物理教育专业学生的数字素养技能。本研究为描述性研究,采用问卷调查法收集数据。分析问卷结果遵循描述性分析技术。研究结果显示,学生在操作能力、批判性理解能力和媒介沟通能力方面表现出良好的数字素养技能。因此,Jember大学物理系学生在使用数字化学习媒体时具有良好的数字素养。
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引用次数: 0
Study on hydro-thermal coupling heat transfer performance of flue gas-water heat exchanger 烟气-水换热器水-热耦合换热性能研究
Q1 OPTICS Pub Date : 2023-11-01 DOI: 10.1088/1742-6596/2636/1/012041
Zile Jia, Dan Liu, Hao Sun, Meng Zhao, Xingbo Lan
Abstract The finned tube heat exchanger is the core component of the flue gas waste heat utilization system. In order to optimize and control the heat transfer efficiency of the heat exchanger in real time under smart heating conditions, we use the entransy dissipation thermal resistance as a kernel index to assess its heat exchange performance, and Trnsys simulation software is employed to figure out the influence of heat exchanger operating parameters (flue gas inlet velocity) and fin structure parameters (fin height, fin pitch) on heat exchanger heat transfer characteristics. The results show that in a reasonable range, increasing the flue gas inlet velocity can decrease the irreversible loss of heat transfer, obviously improving the heat transfer effect. The pitch and height of the fin also have a large impact on the performance of heat transfer. To significantly promote the performance of the heat exchanger, it is useful to reduce the pitch of the fin and increase the fin height within a reasonable range.
翅片管换热器是烟气余热利用系统的核心部件。为了实时优化和控制智能采暖工况下换热器的换热效率,我们以传热耗散热阻为核心指标评估其换热性能,并利用Trnsys仿真软件计算换热器运行参数(烟气进口速度)和翅片结构参数(翅片高度、翅片间距)对换热器换热特性的影响。结果表明,在合理的范围内,提高烟气进口速度可以降低传热的不可逆损失,明显提高换热效果。翅片的间距和高度对传热性能也有很大的影响。为了显著提升换热器的性能,在合理的范围内减小翅片的节距,增加翅片的高度是有用的。
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引用次数: 0
Characteristics Analysis of Hybrid Optical Amplifier with Doped Fiber Variations for Fiber Optic Communications Network 光纤通信网络中掺光纤变化的混合光放大器特性分析
Q1 OPTICS Pub Date : 2023-11-01 DOI: 10.1088/1742-6596/2623/1/012022
R Ramadani, S A Khairunisa, M Khoiro
Abstract Optical communication networks are vital in the digital era, but data transmission becomes weak the longer the distance traveled by light. Erbium-Doped Fiber Amplifier (EDFA) technology is commonly used as an optical amplifier, but it still produces a small gain, Q-factor, and a significant noise figure. This study characterized the Hybrid Optical Amplifier (HOA) combinations that contain EDFA with various doped fibers. The characterization was performed through Optisystem software simulation by observing and analyzing the gain, noise of figure, and Q-factor generated by each doped fiber variant. The results showed that the combination of Ytterbium-doped Fiber produced the most significant gain of 15.83 dB, less noise figure of 5,661 dB, and a relatively high Q-factor of 35,615 at 1,550 nm. It indicates that the HOA combination is suitable and ideal for long-distance transmission in fiber optic communication network applications.
摘要光通信网络在数字时代是至关重要的,但随着光传播距离的增加,数据传输变得越来越弱。掺铒光纤放大器(EDFA)技术是一种常用的光放大器,但它仍然产生小的增益、q因子和显著的噪声系数。本文研究了含有EDFA的混合光放大器(HOA)与各种掺杂光纤的组合。通过Optisystem软件仿真,通过观察和分析每个掺杂光纤变体产生的增益、图噪声和q因子来进行表征。结果表明,在1550 nm处,掺镱光纤的增益最显著,为15.83 dB,噪声系数较小,为5661 dB, q因子较高,为35615。这表明HOA组合是光纤通信网络中长距离传输的理想选择。
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引用次数: 0
Research on wind-solar-storage system optimal scheduling based on multi-objective particle swarm algorithm 基于多目标粒子群算法的风能-太阳能-储能系统优化调度研究
Q1 OPTICS Pub Date : 2023-11-01 DOI: 10.1088/1742-6596/2636/1/012011
Huitong Ru, Jisheng Zhao, Yi Sui, Zhe Huang, Zhouyang Chen, Bo Fan, Bo Wang
Abstract For the current problems that economic benefit and energy saving can not be considered in the existing optimal scheduling schemes of wind-solar-diesel-storage system, this paper proposes an optimal scheduling scheme of this system based on multi-objective particle swarm optimization. The mathematical models of active power output of wind turbines, solar turbines and energy storage units of wind-solar-diesel-storage system are established respectively. According to the historical data of wind power generation and photovoltaic power generation, the power prediction data of corresponding prediction models are adopted respectively On this basis, the objective function is constructed by minimizing the operating cost of the system and maximizing the wind-solar consumption ratio, and the system active power, energy storage battery capacity and diesel generator power are taken as constraints Using multi-objective particle swarm optimization algorithm to solve the output of each unit in the system. Simulation results illustrate the optimization scheme can well achieve the target of taking into account both economic benefits and energy saving in the optimal scheduling of wind-solar-diesel-storage system.
摘要针对现有风能-太阳能-柴油-储能系统优化调度方案不能兼顾经济效益和节能的问题,提出了一种基于多目标粒子群算法的风能-太阳能-柴油-储能系统优化调度方案。分别建立了风力发电机组、太阳能发电机组和风能-太阳能-柴油-储能系统储能单元的有功输出数学模型。根据风电和光伏发电的历史数据,分别采用相应预测模型的功率预测数据。在此基础上,以系统运行成本最小、风光利用比最大为目标函数,构建系统有功功率,以蓄电池容量和柴油发电机组功率为约束条件,采用多目标粒子群优化算法求解系统中各机组的输出。仿真结果表明,该优化方案能够较好地实现风能-太阳能-柴油-储能系统优化调度中兼顾经济效益和节能的目标。
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引用次数: 0
A Profile of senior high school student’s critical thinking skills in physics learning 高中生物理学习中批判性思维能力的培养
Q1 OPTICS Pub Date : 2023-11-01 DOI: 10.1088/1742-6596/2623/1/012012
S B A Neswary, B K Prahani, None Marianus, F C Wibowo, R F R Uulaa
Abstract In the 21 st century, students are required to have skills, one of which is Critical Thinking Skill (CTS) in physics learning. Physics aims to master concepts and principles to solve problems by applying critical thinking skills in physics learning. This study aims to analyze the CTS profile of Senior High School (SHS) in physics learning. This current research is pre-research with 107 of 10 th grade students as participants. This research was conducted in a high school in Indonesia. CTS has four indicators: interpretation, analysis, evaluation, and inference. In this study, the CTS profile of high school students in physics learning is still low. The implications of this study can be used as a bridge as clear evidence that the CTS of SHS students in physics learning is still low and needs to be leveled up.
摘要21世纪的物理学习要求学生具备各种技能,其中之一就是批判性思维能力。物理旨在通过在物理学习中运用批判性思维技能,掌握解决问题的概念和原理。本研究旨在分析高中生物理学习中的CTS特征。本研究为预研究,以107名10年级学生为研究对象。这项研究是在印度尼西亚的一所高中进行的。CTS有四个指标:解释、分析、评价和推断。在本研究中,高中生在物理学习中的CTS特征仍然很低。本研究的启示可以作为一个桥梁,清楚地证明高中学生在物理学习中的CTS仍然很低,需要提高。
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引用次数: 0
Performance Prediction of a Dual-axis Tracking Solar Trough Collector Based on Artificial Neural Network 基于人工神经网络的双轴跟踪太阳能槽式集热器性能预测
Q1 OPTICS Pub Date : 2023-11-01 DOI: 10.1088/1742-6596/2636/1/012040
Jue Li, Ting Xia, Ruofan Wang, Haijun Chen, Xiran Xu
Abstract A dual-axis tracking parabolic trough solar collector, using a certain straight-trough tube, was set up to experimentally investigate the heat collecting performance. An artificial neural network(ANN) model was developed. Experimental data were used to train and predict the mean temperature of Heat transfer fluid in the solar trough collector based on the developed model. The Levenberg-Marquardt (LM) method was also applied to optimize the weights and thresholds for the classic BP Newton algorithm, providing an ANN model with 9 hidden nodes and 30,000 training times. The predicted values are all in good agreement with the experimental data, with a mean relative error of 0.21% and a maximum error of 1.2%. In comparison, the mean relative error of the one-dimensional steady-state model reaches 1.07%. It indicates that the ANN exhibits excellent performance in predicting the export temperature of the solar collector with a specific flow rate of Heat transfer fluid. This ANN model is promising to predict the performance of solar trough collectors under different operating and environmental conditions.
摘要建立了一种采用直槽管的双轴跟踪抛物面槽太阳能集热器,对其集热性能进行了实验研究。建立了人工神经网络(ANN)模型。利用实验数据对槽式集热器内传热流体的平均温度进行了训练和预测。采用Levenberg-Marquardt (LM)方法对经典BP Newton算法的权值和阈值进行优化,得到了一个包含9个隐藏节点和3万次训练次数的ANN模型。预测值与实验数据吻合较好,平均相对误差为0.21%,最大误差为1.2%。相比之下,一维稳态模型的平均相对误差达到1.07%。结果表明,人工神经网络在预测特定传热流体流速下太阳能集热器出口温度方面表现出优异的性能。该人工神经网络模型有望预测太阳能槽式集热器在不同运行和环境条件下的性能。
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引用次数: 0
Intelligent Vehicle Systematic Design Based on Arduino and Raspberry Pi 基于Arduino和树莓派的智能汽车系统设计
Q1 OPTICS Pub Date : 2023-11-01 DOI: 10.1088/1742-6596/2632/1/012017
Yulin Liu, Xiaolu Liu, Chunguang Lu, Lei Song, Guoyu Cui, Haifeng Qian, Nick Nianxiong Tan
Abstract The intelligent vehicle designed in this paper can realize functions, such as safety detection, visual identification, remote control and manipulator grasping, and so on. Arduino MEGA is used as the main control board to send signal messages to drive vehicles. Wi-Fi module is used to receive messages to remote control vehicles. The ultrasonic and infrared module is used to realize object detection around vehicles. To realize complex route movement, raspberry pie is used for visual recognition and path planning. Data is sent to Arduino for judgment in real time. Finally, it is verified that the design effectively improves the path-planning ability and obstacle-avoidance function in a sample vehicle.
摘要:本文设计的智能车辆可以实现安全检测、视觉识别、远程控制和机械手抓取等功能。使用Arduino MEGA作为主控板,发送信号信息驱动车辆。Wi-Fi模块用于接收远程控制车辆的信息。利用超声波和红外模块实现车辆周围目标的检测。为了实现复杂的路径运动,利用树莓派进行视觉识别和路径规划。数据实时发送到Arduino进行判断。最后通过实例验证,该设计有效地提高了车辆的路径规划能力和避障功能。
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引用次数: 0
English Pronunciation Quality Evaluation System Based on Continuous Speech Recognition Technology for Multi-Terminal 基于连续语音识别技术的多终端英语语音质量评价系统
Q1 OPTICS Pub Date : 2023-11-01 DOI: 10.1088/1742-6596/2632/1/012024
Xianxian Wu, Yan Zhang, Bin Feng
Abstract This paper presents a novel approach for evaluating the pronunciation quality of English speech using continuous speech recognition technology. The research focuses on the application of artificial intelligence in speech recognition, utilizing web browsers on various terminal devices such as computers, mobile phones, and tablets to allow users to read the provided text aloud. The web program captures audio input from the microphone, records it in MP3 format, and uploads it to the server. The server employs the Whisper model to transcribe the audio into semantic text, which is then compared with the displayed text. By calculating the semantic distance and assessing the accuracy of pronunciation, the system provides an evaluation of pronunciation quality, marking correct and incorrect words. To achieve real-time processing, the compact tiny model is employed, and further optimization is performed using Ctranslate 2, resulting in significant performance improvements.
摘要本文提出了一种基于连续语音识别技术的英语语音质量评价方法。该研究侧重于人工智能在语音识别中的应用,利用计算机、手机和平板电脑等各种终端设备上的web浏览器,让用户大声朗读所提供的文本。web程序从麦克风捕获音频输入,将其录制成MP3格式,并将其上传到服务器。服务器使用Whisper模型将音频转录成语义文本,然后将其与显示的文本进行比较。该系统通过计算语义距离和评估语音准确性,对语音质量进行评估,标记正确和错误的单词。为了实现实时处理,采用了紧凑的微型模型,并使用Ctranslate 2进行了进一步优化,从而显著提高了性能。
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引用次数: 0
Multi-pedestrian Tracking Method Fusing Two-stage Matching 融合两阶段匹配的多行人跟踪方法
Q1 OPTICS Pub Date : 2023-11-01 DOI: 10.1088/1742-6596/2632/1/012025
Xin Deng, Lijun Zhao, Ruifeng Li
Abstract Multi-pedestrian tracking is one of the hot topics in computer vision. For an intelligent mobile robot, multi-pedestrian tracking from a first-person perspective can provide information for navigating through a crowd and ensure safety. Most of the existing methods cannot deal with occlusion and trajectory overlap well. In this paper, a multi-pedestrian tracking method fusing two-stage matching is proposed. Firstly, the detection and the corresponding feature values of the pedestrians are obtained by a multi-task learning network based on CenterNet. Then the detected pedestrians are matched with feature values by greedy strategy. When dealing with the reappearance of pedestrians caused by occlusion or trajectory overlap, the sample database is established to update the samples in real time. The color histogram and HOG feature are calculated for each sample. When the pedestrian disappears, the direction of disappearance and the last position is recorded for the selection of trajectory. Finally, the KM algorithm is used for cross-frame matching. Our method is compared with some recent methods on MOT data sets. The result shows that our method has a significant improvement in the main evaluation index MOTA.
多行人跟踪是计算机视觉领域的研究热点之一。对于智能移动机器人来说,第一人称视角下的多行人跟踪可以为穿行人群提供信息,确保安全。现有的方法大多不能很好地处理遮挡和轨迹重叠问题。提出了一种融合两阶段匹配的多行人跟踪方法。首先,利用基于CenterNet的多任务学习网络对行人进行检测并获得相应的特征值;然后利用贪婪策略将检测到的行人与特征值进行匹配。在处理由于遮挡或轨迹重叠导致的行人再现时,建立样本库,实时更新样本。计算每个样本的颜色直方图和HOG特征。当行人消失时,记录行人消失的方向和最后位置,以便选择轨迹。最后,采用KM算法进行跨帧匹配。在MOT数据集上,将我们的方法与最近的一些方法进行了比较。结果表明,该方法在主要评价指标MOTA上有显著提高。
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引用次数: 0
期刊
Journal of Physics-Photonics
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