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Preprocessing Noise Reduction For Assistive Listening System 辅助听力系统的预处理降噪
Nurul Md Yunus, Noor Aliff Noor Affande, R. M. Ramli, A. Noor, S. Samad
This research aims to investigate the preprocessing stage of the noise cancellation system to tackle the problem of hearing loss in the industry. A hearing aid may help one to hear sounds, but it will not filter or eliminate background sound. Hence, it is hard to hear clearly. Other than that, for a worker who is working in a high noise environment, repeated exposure to loud noise can lead to severe hearing degradation or permanent hearing loss. There are four proposed filters used for this paper, and four proposed adaptive algorithms in the Assistive Listening System (ALS). These filters and adaptive algorithms are significant to investigate the preprocessing to achieve a high level of Signal-to-Noise Ratio (SNR) performance with a low noise level. Preprocessing method is crucial to minimize the background noises and to eliminate the risk of corrupt hearing. After the findings, the best filter used for preprocessing is the Butterworth Lowpass Filter with a maximum output power of 65 dB; and the best adaptive algorithm is Smart Noise Canceller with an output SNR of 80.43 dB.
本研究旨在探讨消除噪音系统的预处理阶段,以解决工业上的听力损失问题。助听器可以帮助人们听到声音,但它不能过滤或消除背景声音。因此,很难听清楚。除此之外,对于在高噪音环境中工作的工人来说,反复接触大噪音会导致严重的听力退化或永久性听力丧失。本文提出了四种滤波器,并提出了辅助听力系统(ALS)中的四种自适应算法。这些滤波器和自适应算法对于研究在低噪声水平下实现高水平信噪比(SNR)性能的预处理具有重要意义。为了最大限度地降低背景噪声,消除听觉损害的风险,预处理方法至关重要。根据研究结果,用于预处理的最佳滤波器是巴特沃斯低通滤波器,其最大输出功率为65 dB;最佳自适应算法为Smart Noise Canceller,输出信噪比为80.43 dB。
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引用次数: 1
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引用次数: 0
Implementation of RESTful API Web Services Architecture in Takeaway Application Development 外卖应用开发中RESTful API Web服务体系结构的实现
Imam Ahmad, Emi Suwarni, Rohmat Indra Borman, Asmawati, Farli Rossi, Y. Jusman
The Covid-19 that hit the world had an impact on the economy, especially in the trade sector, one of which was experienced by Small and Medium Enterprises (SMEs). Hanura Takeaway (Haway) is an SME engaged in the delivery of goods and food. To facilitate transactions for goods and food delivery services, it is necessary to develop applications that simplify the transaction process. In developing web services, it is necessary to exchange data that is accessed via standard internet protocols. Therefore, we need a web service in developing this application. Implementing a RESTful API web service will certainly facilitate the development of software applications outside the system or with different programming languages or platforms. This research will develop web service architecture using RESTful API in Takeaway application. To optimize the URI, several parameters are used, including filtering, sorting, selection and pagination. The Takeaway application consists of a website as a backend and an Android-based as a frontend. From the test results based on the function method using the Postman application, it shows that the REST API Sever built on the server has been running well. In testing the response time using the Apache JMeter application, the application shows a good response time. Meanwhile, the comparison of responses and requests to SOAP and REST architectures shows that REST takes faster time.
席卷全球的新冠肺炎疫情对经济,特别是贸易部门产生了影响,中小企业首当其冲。Hanura外卖(Haway)是一家从事商品和食品外卖的中小企业。为了促进商品和食品配送服务的交易,有必要开发简化交易过程的应用程序。在开发web服务时,有必要交换通过标准internet协议访问的数据。因此,在开发此应用程序时,我们需要一个web服务。实现RESTful API web服务肯定会促进系统外或使用不同编程语言或平台的软件应用程序的开发。本研究将在外卖应用中使用RESTful API开发web服务架构。为了优化URI,使用了几个参数,包括过滤、排序、选择和分页。外卖应用程序由网站作为后端和基于android的前端组成。从基于函数方法使用Postman应用程序的测试结果可以看出,在服务器上构建的REST API server运行良好。在使用Apache JMeter应用程序测试响应时间时,应用程序显示出良好的响应时间。同时,对SOAP和REST体系结构的响应和请求的比较表明,REST需要更快的时间。
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引用次数: 14
The Experiment Design to Investigate The Effect of Selective Visual Attention Implementation on User Experience in Virtual Reality Anatomy Learning 虚拟现实解剖学学习中选择性视觉注意实施对用户体验影响的实验设计
Denny Primanda, A. E. Permanasari, L. Nugroho, J. Yunus
Anatomy learning in medical education has been considered a fundamental foundation. The use of cadavers in anatomy studies has been considered the gold standard. However, due to several factors, the use of cadavers in modern medical education was considered irrelevant. As a result, anatomy learning began to involve the use of technology. One of them is using a virtual reality system. Anatomy learning using the virtual reality system relies on the visual field in presenting the information. Many of the bones make up the structure of the human skeleton that we use as our dataset, which raises the problem of visual attention in presenting content in virtual reality systems. For that, we propose a selective visual attention method (a feature that can isolate objects) to improve the user experience. In this study, we develop an experimental design to investigate the effect of our proposed methods on user experience. The developed design offers credible investigative results. To ensure the accuracy of data collection and the accuracy of data analysis from the developed experimental design, we use methods that suit the research needs. The results of this study are in the form of a planned experimental design that can increase readers' confidence in the results of investigations related to user experience.
解剖学学习一直被认为是医学教育的基础。在解剖学研究中使用尸体被认为是黄金标准。然而,由于几个因素,在现代医学教育中使用尸体被认为是无关紧要的。因此,解剖学的学习开始涉及到技术的使用。其中之一是使用虚拟现实系统。利用虚拟现实系统进行解剖学学习,依靠视野来呈现信息。许多骨骼构成了我们用作数据集的人类骨骼结构,这就提出了在虚拟现实系统中呈现内容时视觉注意力的问题。为此,我们提出了一种选择性视觉注意方法(一种可以隔离对象的功能)来改善用户体验。在这项研究中,我们开发了一个实验设计来调查我们提出的方法对用户体验的影响。开发的设计提供了可信的调查结果。为了确保数据收集的准确性和从开发的实验设计中数据分析的准确性,我们使用适合研究需要的方法。本研究的结果是有计划的实验设计的形式,可以增加读者对用户体验相关调查结果的信心。
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引用次数: 0
Low Current Ripple Control Using Particle Swarm Algorithm Based Modified Boost Converter for MPPT Application 基于粒子群算法的改进升压变换器在MPPT中的低电流纹波控制
Beauty Anggraheny Ikawanty, M. Ashari, H. Suryoatmojo, Taufik
Low current ripple in the boost converter is crucial in renewable energy system design due to its potential impacts on the operation of other devices. One device that can be directly affected is the MPPT controller. To address this issue, a modified boost converter has been introduced to yield a lower current ripple compared to that of the standard boost converter. This paper presents a study conducted on the modified boost converter when connected to a PV array and a switch controlled by MPPT utilizing Perturb & Observe (P&O) and Particle Swarm Optimization (PSO) algorithms. The simulation results show that the PSO algorithm is more reliable than the P&O algorithm under various irradiation conditions. PSO can minimize steady-state oscillation and the capability to track maximum power than P&O.
升压变换器的低纹波电流对可再生能源系统的设计至关重要,因为它对其他器件的运行有潜在的影响。可以直接受到影响的一个设备是MPPT控制器。为了解决这个问题,已经引入了一种改进的升压转换器,与标准升压转换器相比,它产生更低的电流纹波。本文利用扰动与观察(P&O)算法和粒子群优化(PSO)算法对改进后的升压变换器与光伏阵列和MPPT控制的开关连接进行了研究。仿真结果表明,在不同的辐照条件下,PSO算法比P&O算法更可靠。与P&O相比,PSO具有最小化稳态振荡和跟踪最大功率的能力。
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引用次数: 0
A comparative analysis of bio- inspired optimization algorithms for Optimal Reactive Power Dispatch 无功最优调度的仿生优化算法比较分析
Kevin Steven Morgado Gómez, Néstor Germán Bolívar Pulgarín
In this paper, it is developed an analysis of the usage of meta-heuristic models inspired by nature to obtain the Optimal Reactive Power Dispatch of a 30 bus system. Firstly, the obj ective function is presented, considering its power flow parameters. Afterward, the main algorithms were introduced the Grey Wolf Optimization (GWO), its improved version (1-GWO), and the Whale Optimization Algorithm (WOA). Then, they were implemented on the IEEE 30 bus system to calculate the obj ective function with 13 decision variables and 7 restrictions. Finally, the main results were presented, where it is highlighted an improvement in the Objective Function of 0.45%, in comparison with the traditional Optimal Power Flow implemented in Matpower.
本文分析了利用自然启发的元启发式模型求解某30母线系统的最优无功调度问题。首先,考虑其潮流参数,给出了目标函数;随后介绍了主要算法灰狼优化算法(GWO)及其改进版本(1-GWO)和鲸鱼优化算法(WOA)。然后在IEEE 30总线系统上实现,计算出具有13个决策变量和7个约束条件的目标函数。最后,给出了主要结果,其中强调了与传统的Matpower实现的最优潮流相比,目标函数的改进为0.45%。
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引用次数: 0
Impact of MIMO Configuration on Multi-Target Detection Capability of Through the Wall Radar MIMO配置对穿墙雷达多目标探测能力的影响
Dina Puspa Wulandari, A. A. Pramudita, H. Wijanto, E. Edwar
Through the wall radar (TWR) is a technology to detect the presence of an object behind a wall. Recently, the need to detect multiple objects simultaneously has driven an improvement for this technology. A problem is coming when the distance between two or more objects is too close. They may interfere with each other and decrease its detection accuracy. To improve the detection accuracy, Multiple-Input Multiple-Output (MIMO) method with the finite-difference time-domain (FDTD) modeling for 2-dimensional TWR is presented. A pair of simulation schemes, Single Input Single Output (SISO) and MIMO, has been done to examine this method's performance by changing the object's gap. It compares the B-Scan result of three schemes. This result shows that MIMO can increase the detection resolution and to separate two objects which are very close to each other despite they have different SNR. Furthermore, if both objects' SNR are similar, the MIMO detection ability is going better when compared to SISO.
穿墙雷达(TWR)是一种探测墙后物体存在的技术。最近,同时检测多个目标的需求推动了该技术的改进。当两个或多个物体之间的距离太近时,问题就出现了。它们可能相互干扰,降低其检测精度。为了提高检测精度,提出了基于时域有限差分(FDTD)建模的二维TWR多输入多输出(MIMO)方法。采用单输入单输出(SISO)和MIMO两种仿真方案,通过改变目标间隙来检验该方法的性能。比较了三种方案的b扫描结果。结果表明,MIMO可以提高检测分辨率,并能将信噪比不同但距离很近的两个目标分离出来。此外,如果两个对象的信噪比相似,则MIMO检测能力比SISO更好。
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引用次数: 0
Design and Implementation of A Low-Cost Air Quality Measurement Instrumentation Using Intemet-of-Things Platform and Cloud-based Messaging Service 基于物联网平台和云消息服务的低成本空气质量测量仪器的设计与实现
U. Komarudin, Heli Subarli, Kusnandar, A. Najmurrokhman
Nowadays, almost half of the world's population is exposed to air pollution. Sources of pollutants come from energy production, households, industry, transportation, and so on. One of the targets of the sustainable development goals agenda is to pay special attention to air quality to obtain the comfort of residents in their daily activities. To determine the level of air pollution in a certain place, an instrumentation system is needed that can measure the levels of pollutants in that place. This paper describes the development of a low-cost air quality measurement system using the MQ-7 and MQ-135 gas sensors. The detected gases consist of carbon monoxide (CO), carbon dioxide (CO2), and ammonia (NH3). The information from the sensor is then processed by the NodeMCU ESP8266 module which can then be accessed via a certain internet-of-things platform, namely ThingSpeak, and a cloud-based messaging service, namely Telegram. Experimental results show that the concentration of pollutants in a certain place can be known at any time from the ThingSpeak dashboard. In addition, an alert system is created to notify the user about the number of pollutant concentrations and the effects of the presence of these pollutant gases.
如今,世界上几乎一半的人口暴露在空气污染中。污染物的来源来自能源生产、家庭、工业、交通等。可持续发展目标议程的目标之一就是特别关注空气质量,以获得居民在日常活动中的舒适性。为了确定一个地方的空气污染水平,需要一个仪器系统来测量该地方的污染物水平。本文介绍了使用MQ-7和MQ-135气体传感器的低成本空气质量测量系统的开发。检测到的气体包括一氧化碳(CO)、二氧化碳(CO2)和氨(NH3)。来自传感器的信息随后由NodeMCU ESP8266模块处理,然后可以通过特定的物联网平台(即ThingSpeak)和基于云的消息服务(即Telegram)进行访问。实验结果表明,可以通过ThingSpeak仪表板随时了解某一地点的污染物浓度。此外,还创建了一个警报系统,通知用户有关污染物浓度的数量和这些污染物气体存在的影响。
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引用次数: 0
Preliminary Research for Disaster Robot Based on BLDC Motor Control using Arduino 基于Arduino无刷直流电机控制的灾害机器人初步研究
Setiawardhana, Bima Sena Bayu Dewantara, Muhammad Anwar Sanusi, R. Sigit
Many researchers have developed disaster robots. This paper aims to create disaster robot assistant for helping humans in handling victims of natural disasters. This preliminary research is devoted to the interface and instrumentation of the Brushless Direct Current (BLDC) motor. The focus of this paper is on programming techniques for BLDC motors based on Arduino and Digital to Analog Converter (DAC) which are open loop. The robot used to monitor areas that are declared dangerous and can cause natural disasters. In this preliminary research, an assist robot was created that runs on roads that are not intended to help humans carry several environmental monitoring devices on volcanoes. The robot carries an Unmanned Aircraft Vehicle (UAV) equipped with several sensors for monitoring environmental conditions. System testing is to provide setpoint data and take measurements of the response in the form of output voltage from the DAC and motor rotation speed (RPM). The measurement results for motor speed (RPM) is 11.915 and for DAC (volt) is 0.0169, where the data is a direct comparison of measurements to measurements from settings using Arduino.
许多研究人员开发了灾难机器人。本文旨在创造灾害机器人助手,帮助人类处理自然灾害的受害者。本文对无刷直流(BLDC)电机的接口和仪表进行了初步研究。本文重点研究了基于Arduino和开环数模转换器(DAC)的无刷直流电机编程技术。该机器人用于监控被宣布为危险并可能引发自然灾害的地区。在这项初步研究中,一个辅助机器人被创造出来,它可以在道路上运行,而不是为了帮助人类在火山上携带几个环境监测设备。该机器人携带一架无人驾驶飞行器(UAV),该飞行器配备了几个用于监测环境条件的传感器。系统测试是提供设定值数据,并以DAC输出电压和电机转速(RPM)的形式测量响应。电机转速(RPM)的测量结果为11.915,DAC(伏特)的测量结果为0.0169,其中数据是测量值与使用Arduino设置的测量值的直接比较。
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引用次数: 1
Analysis of Beta Testing Performance for Lecturer Monitoring System: (Case Study: Abdurrab University) 讲师监控系统Beta测试性能分析(以Abdurrab大学为例)
Salamun, Diki Arisandi, Sukri, Y. Jusman, Ira Puspita Sari, Luluk Elvitaria
As a private university, Abdurrab University has issued a policy to inspect the performance of the lecturers periodically. To contribute to the implementation of lecturer performance, a computer-based monitoring system is required to meet the policy requirement and should be accessed from both lecturers or the management anywhere and anytime. The computer-based monitoring system has been completely built and currently entering the beta testing phase, where the users are actively involved to provide an assessment based on four exogenous variables and one endogenous variable. By using structural equation modeling (SEM), the results of beta testing have shown that among the fit index, six of them at good fit results, and two others are in the marginal category. This outcome indicates that the system built is feasible to use and acceptable to users.
作为一所私立大学,Abdurrab大学制定了一项政策,定期检查讲师的表现。为了促进讲师绩效的实施,需要一个基于计算机的监控系统来满足政策要求,并且讲师或管理人员可以随时随地访问该系统。以计算机为基础的监测系统已经完全建成,目前进入测试阶段,用户积极参与,根据四个外生变量和一个内生变量提供评估。利用结构方程模型(SEM)进行beta检验的结果表明,在拟合指标中,有6个处于良好拟合结果,另外2个处于边缘类别。该结果表明所构建的系统是可行的,并且用户可以接受。
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引用次数: 1
期刊
2021 1st International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS)
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