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2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)最新文献

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Minimizing Energy Loss for Multiple Load Power Flow Assignment in Smart Homes 智能家居中多负荷潮流分配的能量损失最小化
Pub Date : 2023-03-08 DOI: 10.1109/ICEPECC57281.2023.10209436
Yuto Lim, S. Javaid, Yasuo Tan, Ruengwit Khwanrit
Nowaday, it is a great challenge to design the Energy storage system (ESS) with the renewable energy (RE) resources in the distributed energy systems. The intermittent nature of energy makes that the RE resources are unstable energy resources and becomes very difficult to use in the house level environment. In this paper, we consider a distributed power flow system (DPFS), which consists of uncontrollable power generators, unpredictable usage of power loads, and multiple ESSs, in which their different combinations of logical power connections to minimize the energy loss. We propose a multiple load power flow assignment (MPFA) with load shifting algorithm to deal the logical power connection via single ESS or multiple ESSs to mitigate the possibility of energy loss reduction and to improve the energy efficiency of DPFS in the smart home domain. Simulation results reveal that the proposed algorithms can significantly reduce the energy loss in winter and summer seasons. Numerically, the proposed MPFA algorithms with load shifting algorithm can reduce more energy loss by about 11.4% and 13.8% during winter and summer, respectively. Our numerical results also show that the highest energy loss is in spring compared to other three seasons.
在分布式能源系统中,如何利用可再生能源设计储能系统是一个很大的挑战。能源的间歇性使得可再生能源是一种不稳定的能源,很难在住宅级环境中使用。本文考虑一个分布式潮流系统(DPFS),该系统由不可控的发电机组、不可预测的电力负荷使用情况和多个ess组成,其中它们的不同逻辑电源连接组合以最大限度地减少能量损失。本文提出了一种带负载转移算法的多负载潮流分配(MPFA),用于处理通过单个ESS或多个ESS进行的逻辑电源连接,以降低能量损失的可能性,并提高智能家居领域DPFS的能源效率。仿真结果表明,该算法能显著降低冬季和夏季的能量损失。数值结果表明,采用负载转移算法的MPFA算法在冬季和夏季可分别减少11.4%和13.8%的能量损失。数值结果还表明,与其他三个季节相比,春季的能量损失最大。
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引用次数: 1
Electrical Substation Environment Monitoring System Using Energy Efficient Algorithm for Wireless Sensor Network 基于无线传感器网络节能算法的变电站环境监测系统
Pub Date : 2023-03-08 DOI: 10.1109/ICEPECC57281.2023.10209549
Saddique Haroon, Muhammad Aqeel Ijaz, Afeef Obaid
From the aspect of system protection and disaster prevention, the environment monitoring system in a substation is an essential section. Continuous monitoring of environmental changes such as increase or decrease in temperature, humidity, or detection of any gas leakage is required to protect the substation from any environmental as well as technical hazards. Wireless Sensor Network (WSN) proves to be a cost efficient solution for such environment monitoring systems with the added benefits of small size and installation flexibility. Due to the capacity limitation of the energy source, the lifetime of WSN is one of the major concerns for researchers. The clustering protocol has been proven to prolong the lifetime of WSN by ensuring balanced energy consumption amongst the nodess. This research work presents an Energy-Efficient Sleep Awake Clustering Algorithm (EESACA) with network design of indoor environment monitoring system at 132kV substation barki road DHA-8 Lahore, Pakistan. The proposed algorithm EESACA considers sleep-awake mode among the nodes based upon their remaining node’s energy. Only those nodes are allowed to participate in the setup phase and steady state phase, whose residual energy is greater than the threshold value. The network lifetime of various communication protocols is comparatively analyzed. Simulation results verify the proposed algorithm’s effectiveness for a more extended network lifetime.
从系统保护和防灾的角度来看,变电站环境监测系统是必不可少的一环。需要持续监测环境变化,如温度、湿度的增加或减少,或检测任何气体泄漏,以保护变电站免受任何环境和技术危害。事实证明,无线传感器网络(WSN)是这种环境监测系统的一种经济高效的解决方案,具有体积小、安装灵活等优点。由于能量的限制,无线传感器网络的寿命一直是研究人员关注的问题之一。聚类协议通过保证节点间能量消耗的平衡,延长了无线传感器网络的生命周期。针对巴基斯坦拉合尔市barki路dha8号132kV变电站室内环境监测系统的网络设计,提出了一种节能睡眠觉醒聚类算法(EESACA)。提出的算法EESACA根据节点剩余能量考虑节点间的睡眠-觉醒模式。只有剩余能量大于阈值的节点才允许参与建立阶段和稳态阶段。对各种通信协议的网络生存期进行了比较分析。仿真结果验证了该算法在更长的网络生存期下的有效性。
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引用次数: 0
Bayesian Inference Based Generation of Human-Like Anthropomorphic Arm Movements 基于贝叶斯推理的类人拟人化手臂运动生成
Pub Date : 2023-03-08 DOI: 10.1109/ICEPECC57281.2023.10209546
Mohammad Shoaib Babar, Hamza Taj, Nouman Aziz, Wasif Muhammad, Sohaib Siddique Butt, Syed Umar Rasheed, Hammad-Ud-Din
The addition of human-like gestures to robots can improve productivity and have a big influence on how people interact with them. In order to help anthropomorphic arms produce precise human-like motions, this research introduces a unique planning method for human-like movements. Movement primitives, a Bayesian network (BN), and a new Long Short Term Memory network make up the three elements of the approach (LSTM). Human arm movements are broken down using movement primitives, and classifying arm motions improves the realism of human-like motions. The probability that a movement will occur is predicted using a motion-decision algorithm based on Bayesian Netwrok, which also chooses the best mode of motion. A brand new LSTM is also created to address the inverse kinematics issues with anthropomorphic arms. Several models are combined into a single network using the LSTM, which modifies the network’s structure to reflect the properties of the individual models. The suggested method enables anthropomorphic arms to accurately produce a variety of human-like actions. Lastly, simulations are used to verify the effectiveness of the suggested technique.
为机器人添加类似人类的手势可以提高生产率,并对人们与机器人的互动方式产生重大影响。为了帮助拟人手臂产生精确的类人运动,本研究引入了一种独特的类人运动规划方法。运动原语、贝叶斯网络(BN)和一种新的长短期记忆网络(LSTM)组成了该方法的三个要素。使用运动原语对人体手臂运动进行分解,并对手臂运动进行分类,提高了类人运动的真实感。使用基于贝叶斯网络的运动决策算法预测运动发生的概率,并选择最佳运动模式。此外,还创建了一个全新的LSTM来解决拟人化手臂的逆运动学问题。使用LSTM将多个模型组合成一个网络,LSTM修改网络的结构以反映单个模型的属性。建议的方法使拟人手臂能够准确地产生各种类似人类的动作。最后,通过仿真验证了所提方法的有效性。
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引用次数: 0
Comparison of Dielectric Properties of Treated Shea Nut Oil with Mineral Oil Under AC Voltage 交流电压下处理过的乳木果油与矿物油介电性能的比较
Pub Date : 2023-03-08 DOI: 10.1109/ICEPECC57281.2023.10209511
Obande Jonathan Ochigbo, Sabo Ibrahim B-Kudu, M. Jamil
The transformer is a crucial component in electrical power systems, and it commonly uses petroleum-based mineral oil as both an insulator and coolant due to its superior dielectric properties, including high breakdown voltage and effective cooling capabilities. However, since mineral oil is nonrenewable and non-biodegradable, it’s necessary to discover alternative oils that possess similar or superior characteristics. The aim of this study was to compare the dielectric properties of treated shea nut oil with mineral oil when subjected to AC voltage. The findings reveal that shea nut oil’s dielectric properties comply with global standards.
变压器是电力系统的重要组成部分,它通常使用石油矿物油作为绝缘体和冷却剂,因为它具有优越的介电性能,包括高击穿电压和有效的冷却能力。然而,由于矿物油是不可再生和不可生物降解的,有必要发现具有类似或优于矿物油特性的替代油。本研究的目的是比较处理过的乳木果油和矿物油在交流电压作用下的介电性能。结果表明,乳木果油的介电性能符合国际标准。
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引用次数: 0
Optimized Focused Crawling for Web page Classification 网页分类的优化聚焦爬行
Pub Date : 2023-03-08 DOI: 10.1109/ICEPECC57281.2023.10209473
Nazifa Fatima, M. Faheem, Muhammad Ziad Nayyer Dar
The geographical location in the globe is usually searched by following the geographical map. The same resemblance works for the Web search engine. The main job of the Web search engine is to get relevant Web pages from World Wide Web (WWW) for its end user. These Web pages are retrieved by Web crawlers (automated program). The Web crawling process starts with the seed list of URLs managed in queue. The Web page against each seed URL is fetched one after another. The hyperlinks on the Web pages are extracted and further added in the queue if relevant to the archiving task. This process continues until the required number of URLs are fetched. Focused crawler is one of the types of Web crawler that extracts only those Web pages that are relevant to the topic specified by the user. A topic is usually specified by keywords or some exemplary documents on which focused Web crawler decides whether a Web page is relevant to the topic or not. In focused Web crawlers automated Web page classification is used to classify the relevant and irrelevant Web pages. In this paper we have used a modified Genetic Algorithm (GA) based automated web page classifier. In this method keywords are used as feature set for the classification process. The crawled web pages are labeled as relevant or irrelevant. The best features are selected by the Genetic algorithm using Cosine Similarity function. These extracted features are used by classifier for the classification of relevant Web pages. Using the keywords as a feature, better precision, recall, accuracy and F1 scores are achieved.
地球上的地理位置通常是通过地理地图来搜索的。同样的相似之处也适用于网络搜索引擎。Web搜索引擎的主要工作是从万维网(WWW)上为其最终用户获取相关的Web页面。这些网页由网络爬虫(自动程序)检索。Web爬行过程从队列中管理的url种子列表开始。每个种子URL对应的Web页面被一个接一个地获取。提取Web页面上的超链接,并在与归档任务相关的情况下进一步添加到队列中。这个过程一直持续到获取所需数量的url为止。焦点爬虫是一种Web爬虫,它只提取与用户指定的主题相关的Web页面。主题通常由关键字或一些示例文档指定,重点关注的Web爬虫决定Web页面是否与主题相关。在集中的Web爬虫中,自动Web页面分类用于对相关和不相关的Web页面进行分类。在本文中,我们使用了一种改进的基于遗传算法(GA)的自动网页分类器。该方法将关键词作为分类过程的特征集。抓取的网页被标记为相关或不相关。利用余弦相似度函数的遗传算法选择最优特征。这些提取的特征被分类器用于对相关网页进行分类。使用关键词作为特征,可以获得更好的准确率、查全率、准确率和F1分数。
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引用次数: 0
Hand Gesture Recognition System for Recognizing of Indonesian Sign Language Number Using Attentional Convolutional Network 基于注意卷积网络的印尼语数字手势识别系统
Pub Date : 2023-03-08 DOI: 10.1109/ICEPECC57281.2023.10209464
Elsen Ronando, Arief Rahman Hakim
Hand gestures are a form of communication widely used in everyday life. In addition, hand gestures are one of the interactions that can carry out in a non-contact manner that a computer can understand by recognizing the meaning of the movement from the image. However, hand gesture recognition cannot acknowledge directly by a computer; the computer requires artificial intelligence to recognize existing objects. For these problems, this research conducts a hand gesture recognition system for Numbers Sign of Indonesian Sign Language (SIBI) recognition using the Attentional Convolutional Network (ACN) method. Based on the results of the tests, the system can recognize number gestures indicated by a prediction accuracy value of 87.5% for non-real-time testing and accuracy value of 71.25% for real-time testing.
手势是日常生活中广泛使用的一种交流方式。此外,手势是一种可以以非接触方式进行的交互,计算机可以通过从图像中识别动作的含义来理解。然而,手势识别不能由计算机直接识别;计算机需要人工智能来识别现有的物体。针对这些问题,本研究采用注意卷积网络(attention Convolutional Network, ACN)方法构建了印尼语数字符号(SIBI)识别手势识别系统。测试结果表明,该系统对数字手势的识别准确率在非实时测试中为87.5%,在实时测试中为71.25%。
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引用次数: 0
Vision-Based Velocity Estimations for Autonomous Mobile Robots 基于视觉的自主移动机器人速度估计
Pub Date : 2023-03-08 DOI: 10.1109/ICEPECC57281.2023.10209483
S. J. A. Bakar, Richmond Tay Kim Hui, P. Goh, N. S. Ahmad
Nowadays, the deployment of autonomous mobile robots (AMRs) in warehouses and factories is becoming increasingly prevalent. Various sensors are often fitted on the robot to identify adjacent objects for navigation. In order to maintain the performance in a dynamic environment, the robot must be able to predict the velocity of surrounding obstacles before a local path can be generated. In this work, a vision-based velocity estimation technique is proposed using a pattern matching technique via LabVIEW machine vision. The focus is on estimating the velocity of oncoming obstacles which can be either a robot, a human, or both. Three real-time experiments were conducted to evaluate the performance of the approach. From the experiments, the proposed technique results in average estimation errors of no greater than 0.8° for angle, and 0.41cm/s for speed for single obstacle detections. For multiple obstacle detections, average errors of no greater than 1.42° for angle, and 2cm/s for speed were obtained. Based on the recorded numerical results, the AMR is able to make decision when the obstacle is at least 39cm away from it, which is sufficient to avoid collision.
如今,自主移动机器人(amr)在仓库和工厂的部署正变得越来越普遍。机器人通常安装各种传感器来识别附近的物体进行导航。为了在动态环境中保持性能,机器人必须能够在生成局部路径之前预测周围障碍物的速度。本文提出了一种基于视觉的速度估计技术,该技术采用LabVIEW机器视觉的模式匹配技术。重点是估计迎面而来的障碍物的速度,这些障碍物可以是机器人,也可以是人,或者两者都是。通过三个实时实验来评估该方法的性能。实验结果表明,该方法对单障碍物检测的平均估计误差不大于0.8°,对速度的估计误差不大于0.41cm/s。对于多障碍物检测,角度的平均误差不大于1.42°,速度的平均误差不大于2cm/s。根据记录的数值结果,AMR能够在障碍物距离其至少39cm时做出决策,这足以避免碰撞。
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引用次数: 0
An Integrated Machine Learning Framework for Effective Classification of Water 一种有效分类水的集成机器学习框架
Pub Date : 2023-03-08 DOI: 10.1109/ICEPECC57281.2023.10209495
Isha Aleem, Attique ur Rehman, Sabeen Javaid, Tahir Muhammad Ali
Water is an essential need for all living things. The problem people are facing especially in urban areas is the diseases that have been caused by water which is mainly Dengue or malaria because there are many metals such as ammonium aluminum silver and other bacterial or viral things present in water. The first step toward a healthy lifestyle is to drink purified water. In this paper, the methodology that has been used here is to detect whether the water people are using for drinking purposes is safe enough to use or not in the data set and the specific methodology is binomial type as yes or no, 912 for positive states and 7084 negative states which means that 0.8864 for 0 and 0.114 for 1. The ratio for negative is far higher than the positive one. We tested the model in two ways first with simple feature extraction, smote Upsampling and with vote ensemble. In smote Upsampling accuracy with the random forest is 88.21 % (highest). The classification error of random forest is 11.7% and with the highest rate is 94.73% which is recall and specificity is 81.71% which is the lowest in the random forest whereas with vote ensemble the combinations of two algorithms have been used and the highest accuracy is from naive Bayes and KNN and the accuracy from them is 96.00% with the classification error of 6% only its precision rate is higher which is 98.89% and lowest specificity of 75.00%.
水是所有生物的必需品。人们面临的问题,尤其是在城市地区,是由水引起的疾病,主要是登革热或疟疾,因为有许多金属,如铵铝银和其他细菌或病毒的东西存在于水中。健康生活方式的第一步是喝纯净水。在本文中,这里使用的方法是检测数据集中人们用于饮用的水是否足够安全,具体方法是二项型,为yes或no, 912为阳性状态,7084为阴性状态,即0.8864为0,0.114为1。负的比率远远高于正的比率。我们用两种方法测试了该模型,首先是简单的特征提取,smote Upsampling和投票集成。在smote中,随机森林的上采样精度为88.21%(最高)。随机森林的分类误差是11.7%,召回率最高的是94.73%,特异性是81.71%最低的随机森林而投票合奏的组合有两种算法和最高精度从朴素贝叶斯和资讯和分类的精度是96.00%的误差只有6%精确率较高的最低98.89%,特异性75.00%。
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引用次数: 0
Performance Enhancement of a Peltier Device as a Cooling Source 珀耳帖器件作为冷却源的性能增强
Pub Date : 2023-03-08 DOI: 10.1109/ICEPECC57281.2023.10209445
Erum Iftikhar, Bilal Hassan Bhatti, Fawad Mehboob, A. Muzaffar, Muhammad Hasnain Tariq, T. A. Cheema
The environmental harm caused by the production, use, and disposal of hydro- and chlorofluorocarbons (CFCs and HCFCs) as refrigerants in conventional refrigeration and air conditioning systems has come to light. This has prompted in-depth study into the production of substitute refrigeration systems. Thermoelectric cooling offers a potential alternative technique due to its distinct characteristics. The Peltier effect was utilised in thermoelectric coolers (TEC) to create a heat flux at the meeting of two different materials. In this work, a low-power, environment friendly refrigeration system was built using the thermoelectric effect. The studies were carried out by studying the cooling effect created in a water body connected to the Peltier colder side where water was flowing at constant speed, and on the hotter side aluminium fins with variable speed fan were installed. The findings were collected, and the cooling effect was examined. It was found that the cooling effect and coefficient of performance (COP) of the system increase with fan speed. The COP increased up to 62.7 at maximum fan speed.
在传统制冷和空调系统中,作为制冷剂的氢氟碳化合物和氯氟碳化合物(CFCs和HCFCs)的生产、使用和处置所造成的环境危害已经暴露出来。这促使人们深入研究替代制冷系统的生产。热电冷却由于其独特的特性提供了一种潜在的替代技术。在热电冷却器(TEC)中利用珀尔帖效应在两种不同材料相遇时产生热流。利用热电效应,建立了一种低功耗、环保的制冷系统。该研究是通过研究与Peltier冷侧相连的水体产生的冷却效果来进行的,其中水以恒定速度流动,在热侧安装了带变速风扇的铝翅片。收集了研究结果,并对冷却效果进行了检验。结果表明,随着风机转速的增加,系统的冷却效果和性能系数(COP)均有所提高。在最大风扇转速下,COP高达62.7。
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引用次数: 0
Design and Analysis of Wireless Power Transfer using Stacked Coil PCB for Inductive Power Charging 叠卷式PCB感应充电无线电力传输设计与分析
Pub Date : 2023-03-08 DOI: 10.1109/ICEPECC57281.2023.10209446
Eko Ramadhan, H. Suryoatmojo, A. Priyadi, M. Alaydrus
A wireless power system or wireless power transfer is an alternative for energy distribution using air or wireless media. This electrical energy transmission uses air as the medium to distribute energy where the energy source and load are located far apart. Therefore, many researchers are trying to increase the mutual coupling between coils to increase efficiency. One of the ways to improve mutual coupling is using a stacked coil PCB. Based on the proposed design, a rectangular design using FR4 PCB with dimensions of $5.4 times 5.4 {mathrm {cm}}$. Stacked coil fabrication with 5 turns as a transmitter and on the receiving side of a Stacked coil of 10 turns and a non-stacked coil of 1 turn as a comparison. Obtained from the S21 measurement received by the 10 turns coil, it has a value of 25dB with VNA and −29dB with SA, and −16dB with simulation. While the results from winding 1 with a distance of 5 cm obtained an S21 the values are −44dB, −52dB, and −37dB respectively.
无线电源系统或无线电源传输是使用空气或无线媒体的能量分配的替代方案。这种电能传输使用空气作为介质,在能量源和负载相距很远的地方分配能量。因此,许多研究者试图通过增加线圈之间的相互耦合来提高效率。改善相互耦合的方法之一是使用堆叠线圈PCB。根据所提出的设计方案,采用尺寸为5.4 × 5.4 { mathm {cm}}$的矩形FR4 PCB进行设计。以5匝堆叠线圈作为发射端,在接收端使用10匝堆叠线圈和1匝非堆叠线圈作为比较。从10匝线圈接收的S21测量得到,VNA值为25dB, SA值为- 29dB,仿真值为- 16dB。而距离为5 cm的绕组1的结果为S21,其值分别为- 44dB, - 52dB和- 37dB。
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引用次数: 0
期刊
2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)
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