AIMS Electronics and Electrical Engineering最新文献_第6页

A systematic review of foreign language learning with immersive technologies (2001-2020) 沉浸式外语学习的系统回顾(2001-2020)

AIMS Electronics and Electrical Engineering Pub Date : 2021-01-01 DOI: 10.3934/ELECTRENG.2021007

Rebecca M. Hein, Julius-Maximilians-Universität Würzburg Am Hubland D Würzburg Human-Computer Interaction, C. Wienrich, M. Latoschik, Julius-Maximilians-Universität Würzburg Oswald-Külpe-Weg D Würzburg Human-Technique Systems

{"title":"A systematic review of foreign language learning with immersive technologies (2001-2020)","authors":"Rebecca M. Hein, Julius-Maximilians-Universität Würzburg Am Hubland D Würzburg Human-Computer Interaction, C. Wienrich, M. Latoschik, Julius-Maximilians-Universität Würzburg Oswald-Külpe-Weg D Würzburg Human-Technique Systems","doi":"10.3934/ELECTRENG.2021007","DOIUrl":"https://doi.org/10.3934/ELECTRENG.2021007","url":null,"abstract":"This study provides a systematic literature review of research (2001–2020) in the field of teaching and learning a foreign language and intercultural learning using immersive technologies. Based on 2507 sources, 54 articles were selected according to a predefined selection criteria. The review is aimed at providing information about which immersive interventions are being used for foreign language learning and teaching and where potential research gaps exist. The papers were analyzed and coded according to the following categories: (1) investigation form and education level, (2) degree of immersion, and technology used, (3) predictors, and (4) criterions. The review identified key research findings relating the use of immersive technologies for learning and teaching a foreign language and intercultural learning at cognitive, affective, and conative levels. The findings revealed research gaps in the area of teachers as a target group, and virtual reality (VR) as a fully immersive intervention form. Furthermore, the studies reviewed rarely examined behavior, and implicit measurements related to inter- and trans-cultural learning and teaching. Inter- and transcultural learning and teaching especially is an underrepresented investigation subject. Finally, concrete suggestions for future research are given. The systematic review contributes to the challenge of interdisciplinary cooperation between pedagogy, foreign language didactics, and Human-Computer Interaction to achieve innovative teaching-learning formats and a successful digital transformation.","PeriodicalId":36329,"journal":{"name":"AIMS Electronics and Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70221958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

A Review on design of low noise amplifiers for global navigational satellite system 全球卫星导航系统低噪声放大器设计综述

AIMS Electronics and Electrical Engineering Pub Date : 2021-01-01 DOI: 10.3934/electreng.2021012

C. Priyanka, D. Ratnam, Sai Krishna Santosh G

引用次数: 1

Iris-Fingerprint multimodal biometric system based on optimal feature level fusion model 基于最优特征级融合模型的虹膜-指纹多模态生物识别系统

AIMS Electronics and Electrical Engineering Pub Date : 2021-01-01 DOI: 10.3934/electreng.2021013

Chetana Kamlaskar, A. Abhyankar

{"title":"Iris-Fingerprint multimodal biometric system based on optimal feature level fusion model","authors":"Chetana Kamlaskar, A. Abhyankar","doi":"10.3934/electreng.2021013","DOIUrl":"https://doi.org/10.3934/electreng.2021013","url":null,"abstract":"For reliable and accurate multimodal biometric based person verification, demands an effective discriminant feature representation and fusion of the extracted relevant information across multiple biometric modalities. In this paper, we propose feature level fusion by adopting the concept of canonical correlation analysis (CCA) to fuse Iris and Fingerprint feature sets of the same person. The uniqueness of this approach is that it extracts maximized correlated features from feature sets of both modalities as effective discriminant information within the features sets. CCA is, therefore, suitable to analyze the underlying relationship between two feature spaces and generates more powerful feature vectors by removing redundant information. We demonstrate that an efficient multimodal recognition can be achieved with a significant reduction in feature dimensions with less computational complexity and recognition time less than one second by exploiting CCA based joint feature fusion and optimization. To evaluate the performance of the proposed system, Left and Right Iris, and thumb Fingerprints from both hands of the SDUMLA-HMT multimodal dataset are considered in this experiment. We show that our proposed approach significantly outperforms in terms of equal error rate (EER) than unimodal system recognition performance. We also demonstrate that CCA based feature fusion excels than the match score level fusion. Further, an exploration of the correlation between Right Iris and Left Fingerprint images (EER of 0.1050%), and Left Iris and Right Fingerprint images (EER of 1.4286%) are also presented to consider the effect of feature dominance and laterality of the selected modalities for the robust multimodal biometric system.","PeriodicalId":36329,"journal":{"name":"AIMS Electronics and Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70222083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Estimation of time-parameters of Barker binary phase coded radar signal using instantaneous power based methods 基于瞬时功率的巴克二进制相位编码雷达信号时间参数估计方法

AIMS Electronics and Electrical Engineering Pub Date : 2020-11-08 DOI: 10.3934/electreng.2020.4.347

A. A. Ahmad, A. Mohammed, M. Ajiya, Z. Yunusa, H. Rabiu

{"title":"Estimation of time-parameters of Barker binary phase coded radar signal using instantaneous power based methods","authors":"A. A. Ahmad, A. Mohammed, M. Ajiya, Z. Yunusa, H. Rabiu","doi":"10.3934/electreng.2020.4.347","DOIUrl":"https://doi.org/10.3934/electreng.2020.4.347","url":null,"abstract":"This paper deals with analysis of the Barker binary phase radar signal as part of ways to counteract upcoming threats in the field of electronic warfare support (ES) system. The ES part of electronic warfare (EW) provides tactical support by providing key information to other sections responsible for providing response in the form of attack and protection. The analysis of this paper focused on the correct estimation of the basic time parameters (pulse width and pulse repetition period) of this radar signal using instantaneous power obtained from the time-marginal of the time-frequency distribution (TFD), the maxima (power) of the TFD and directly from the product of signal. The main TFD is a modified version of the most common quadratic TFD (QTFD), the Wigner-Ville distribution (WVD) using appropriately chosen separable kernels. This analysis and estimation method developed is tested in the presence of white noise of Gaussian probability density function at different signal-to-noise ratios (SNR). Results obtained show that instantaneous power gotten from the maxima of TFD outshines the other methods with a minimum SNR of ‒14 dB when the specific threshold of 37.5% is used. It also shows that the proposed methods chosen outperform previous works of similar objectives and therefore, making it suitable for practical EW systems.","PeriodicalId":36329,"journal":{"name":"AIMS Electronics and Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46672395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Implementation of non-intrusive appliances load monitoring (NIALM) on k-nearest neighbors (k-NN) classifier 基于k-近邻(k-NN)分类器的非侵入式电器负荷监测(NIALM)的实现

AIMS Electronics and Electrical Engineering Pub Date : 2020-09-08 DOI: 10.3934/electreng.2020.3.326

Amleset Kelati, Hossam Gaber, J. Plosila, H. Tenhunen

{"title":"Implementation of non-intrusive appliances load monitoring (NIALM) on k-nearest neighbors (k-NN) classifier","authors":"Amleset Kelati, Hossam Gaber, J. Plosila, H. Tenhunen","doi":"10.3934/electreng.2020.3.326","DOIUrl":"https://doi.org/10.3934/electreng.2020.3.326","url":null,"abstract":"Nonintrusive Appliance Load Monitoring (NIALM) is used to analyze individual’s house energy consumption by distinguishing variations in voltage and current of appliances in a household. The method identifies load consumption of each appliance from the aggregated home energy consumption. NIALM will also provide information of load consumptions of each appliance by indirectly detecting the abnormal changes of appliance usage. The proposed NIALM approach is based on features extraction from load consumptions measurements of electrical power signals in order to classify appliance’s state of operation. In this work, we have improved the identification accuracy and the detection of appliances based on their operational state by employing Machine Learning (ML) technique; namely k-nearest neighbor (k-NN) classification algorithm. The dataset used to perform this process is from the publicly available (PLAID) of power, voltage and current signals of appliances from several houses. This is used as benchmark data set. The PLAID dataset is collected and processed for each appliance and our classification results based on k-NN algorithm achieved high accuracy and is able to gain cost-effective solution. In addition, the result shows that k-NN classifier is a proven as an efficient method for NIALM techniques when compared with other proposed different ML options. Based on the used dataset, the average F-score measure obtained using the k-NN classifier is 90%. Possible reasons behind these findings are discussed and areas for further exploration are proposed.","PeriodicalId":36329,"journal":{"name":"AIMS Electronics and Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43918511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

LoRa-based communication system for data transfer in microgrids 基于LoRa的微电网数据传输通信系统

AIMS Electronics and Electrical Engineering Pub Date : 2020-08-19 DOI: 10.3934/electreng.2020.3.303

Cherechi Ndukwe, M. Iqbal, Xiaodong Liang, Jahangir Khan, Lawrence O. Aghenta

{"title":"LoRa-based communication system for data transfer in microgrids","authors":"Cherechi Ndukwe, M. Iqbal, Xiaodong Liang, Jahangir Khan, Lawrence O. Aghenta","doi":"10.3934/electreng.2020.3.303","DOIUrl":"https://doi.org/10.3934/electreng.2020.3.303","url":null,"abstract":"This paper proposes a LoRa-based wireless communication system for data transfer in microgrids. The proposed system allows connection of multiple sensors to the LoRa transceivers, and enables data collection from various units within a microgrid. The proposed system focuses on communications at the secondary communication level of the microgrid between local controllers of each distributed generation (DG) unit and the microgrid central controller due to the possibility of applying low-bandwidth communication systems at this level. In a proof of concept test bed setup, the data collected by the sensors are sent to the LoRa gateway, which serves as the central monitoring system from which control messages are sent to various microgrid components through their local controllers such as DG units, storage systems and load. In this work, to improve communication security, a private server has been developed using Node-Red instead of cloud servers that are currently used in most Internet-of-Things (IoT) monitoring systems. A range test of the proposed system is carried out to observe the rate of data delivery. It demonstrated over 90% data delivery at 4 km. Finally, a test bed experiment is conducted to validate key features of the proposed system by achieving one-directional data transfer in a grid monitoring system.","PeriodicalId":36329,"journal":{"name":"AIMS Electronics and Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46487683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Dynamic modeling and simulation of the MUN Explorer autonomous underwater vehicle with a fuel cell system MUN-Explorer自主水下航行器燃料电池系统的动力学建模与仿真

AIMS Electronics and Electrical Engineering Pub Date : 2020-01-03 DOI: 10.3934/electreng.2020.1.114

Mohamed M. Albarghot, M. T. Iqbal, K. Pope, L. Rolland

{"title":"Dynamic modeling and simulation of the MUN Explorer autonomous underwater vehicle with a fuel cell system","authors":"Mohamed M. Albarghot, M. T. Iqbal, K. Pope, L. Rolland","doi":"10.3934/electreng.2020.1.114","DOIUrl":"https://doi.org/10.3934/electreng.2020.1.114","url":null,"abstract":"The actual power system of the MUN Explorer Autonomous Underwater Vehicles (AUVs) uses 11 Lithium-ion (Li-ion) batteries as a main energy source. The batteries are directly connected into the BLDC motor to run the MUN Explorer for the desired operating sequence. This paper presents a dynamic model of the MUN Explorer AUV including a fuel cell system to run under the same operating conditions as suggested by its manual. A PI controller was applied into the dynamic model to maintain the operating conditions such as motor speed, DC bus voltage and the load torque, due to its advantages and simplicity for tuning technique. The MUN Explorer AUV dynamic model with a fuel cell is a proposed system to increase the power capacity, it is better to use a simple controller to see the system behaviors. The simulation of the entire system dynamics model along with the proportional-integral (PI) controller is done in MATLAB / Simulink. The simulation results are included in the paper. The DC bus voltage is measured at 48 V, and the motor speed is 20 (rad/s), which is equivalent to 190 (rpm). The power profile of the fuel cell and battery are presented and plotted against time. The PI controller gives satisfactory results in terms of maintaining the same operating conditions of the MUN Explorer AUV with a fuel cell.","PeriodicalId":36329,"journal":{"name":"AIMS Electronics and Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42833098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Performance enhanced Kalman filter design for non-Gaussian stochastic systems with data-based minimum entropy optimisation 基于数据最小熵优化的非高斯随机系统性能增强卡尔曼滤波器设计

AIMS Electronics and Electrical Engineering Pub Date : 2019-11-12 DOI: 10.3934/electreng.2019.4.382

Qichun Zhang

{"title":"Performance enhanced Kalman filter design for non-Gaussian stochastic systems with data-based minimum entropy optimisation","authors":"Qichun Zhang","doi":"10.3934/electreng.2019.4.382","DOIUrl":"https://doi.org/10.3934/electreng.2019.4.382","url":null,"abstract":"Almost all of the complex dynamic processes are subjected to non-Gaussian random noises which leads to the performance deterioration of Kalman filter and Extended Kalman filter (EKF). To enhance the filtering performance, this paper presents an EKF-based filtering algorithm using minimum entropy criterion for a class of stochastic non-linear systems subjected to non-Gaussian noises. For practical implementations, the Kalman filters are widely used and the structure will not be changed due to the system integration, therefore, it is important to enhance the performance without changing the existing system design. In particular, a compensative framework has been developed where the EKF design meets the basic filtering requirements and the polynomial-based non-linear compensation has been used to adjusted the basic estimation from EKF with the entropy criterion. Since the entropy of the system output estimation error can be approximated using the measured data by kernel density estimation (KDE). A data-based framework can be obtained to enhance the performance. In addition, the presented algorithm is analysed from the view of the estimation convergence and a numerical example has been given to demonstrate the effectiveness.","PeriodicalId":36329,"journal":{"name":"AIMS Electronics and Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42776605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

In-junction-plane beam divergence stabilization by lateral periodic structure in wide-stripe laser diodes 宽条纹激光二极管中横向周期结构的连接面光束发散稳定

AIMS Electronics and Electrical Engineering Pub Date : 2019-11-06 DOI: 10.3934/electreng.2019.4.370

A. Malag, G. Sobczak, E. Dąbrowska, M. Teodorczyk

引用次数: 0

Data selection with set-membership affine projection algorithm 基于集隶属仿射投影算法的数据选择

AIMS Electronics and Electrical Engineering Pub Date : 2019-10-31 DOI: 10.3934/electreng.2019.4.359

A. Zardadi

引用次数: 2