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IEEE-APS Conference on Antennas and Propagation for Wireless Communications

作者： Alysson Lourenço Reis Cássio Gonçalves do Rego Diego Camilo Tami Lopez Marcelo Lúcio Nunes Regional Management of Minas Gerais Brazilian National Telecommunication Agency Anatel Graduate Program in Electrical Engineering Federal University of Minas Gerais UFMG Belo Horizonte Brazil Graduate Program in Electrical Engineering Federal University of Minas Gerais UFMG Belo Horizonte Brazil Regional Management of Minas Gerais Brazilian National Telecommunication Agency Anatel Belo Horizonte Brazil

The highlight of this paper is to find the best performance provided by a certain propagation model indicated by the correlational analysis between predicted data and field measurements. An analysis of the radio coverage for mobile networks was made, based on base station parameters provided by mobile system operator in the system of the Brazilian National telecommunication Agency (Anatel). Due to the availability of high resolution data for the representation of the environment, it was possible to perform a comparative analysis of different prediction models associated to diffraction methods. Still was performed a massive measurement campaign followed by data treatment, for support an accurate comparative analysis of radio propagation effects.

关键词： Diffraction Correlation Analytical models Communications technology Data models Antenna measurements Predictive models

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Enhancement of Accuracy For UWB Indoor Positioning Using Support Vector Regression

Enhancement of Accuracy For UWB Indoor Positioning Using Sup...

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IEEE International Conference on Communication, Networks and Satellite (ComNetSat)

作者： Andi Sitti Syathirah Rendy Munadi Gita Indah Hapsari Graduate Program of Regulation and Management of Telecommunication School of Electrical Engineering Jl. Telekomunikasi. 1 Terusan Buahbatu - Bojongsoang Telkom University Jawa Barat

ISBN: (数字)9798350368086

ISBN: (纸本)9798350368093

Ultra-Wide Band (UWB) is a wireless technology that utilizes frequencies with a wide bandwidth to provide coverage and positioning with centimeter-level accuracy. This technology has been widely applied in various fields, such as activity recognition, indoor localization, and through-wall radar. One of the main advantages of UWB is its ability to determine the location of objects with an accuracy of up to 10 cm, making it ideal for tracking moving assets in complex and space-sensitive environments. In this study, a UWB-based positioning system uses a minimum of three anchors and one tag to measure the distance between devices. However, some conditions can reduce the measurement accuracy. To overcome this, this study proposes the use of the Support Vector Regression (SVR) algorithm to improve the accuracy of the system’s positioning. SVR is a regression method that supports linear and non-linear regression, with the aim of finding the optimal hyperplane that minimizes prediction errors. The results of the study show that UWB combined with SVR can provide significant accuracy, with a Mean Absolute Error (MAE) of $\mathbf{1 7} \mathbf{~ c m}$ on the X coordinate and 19 cm on the Y coordinate, and a Mean Squared Error (MSE) of 4 cm on the X coordinate and 5 cm on the Y coordinate in Line of Sight (LOS) conditions which under 20 cm. This confirms that the combination of UWB and SVR is an effective approach in improving the accuracy of indoor positioning.

关键词： Support vector machines Wireless communication Accuracy Satellites Measurement uncertainty Position measurement Size measurement Radar tracking Vectors Radiofrequency identification

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FPGA-based hardware/software implementation for MIMO wireless communications

FPGA-based hardware/software implementation for MIMO wireles...

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International Electrical engineering Congress (iEECON)

作者： Korkeart Boonyi Jukkrit Tagapanij Akkarat Boonpoonga Electrical Engineering Graduate Program Telecommunication Engineering Department Mahanakom University of Technology Bangkok Thailand Department of Electrical and Computer Engineering King Mongkut's University of Technology North Bangkok Bangkok Thailand

This paper proposes an efficient architecture for FPGA implementation of MGS-QRD in MIMO wireless communication systems. The proposed architecture is based on the Hardware/Software (HW/SW) design. To achieve the efficient architecture, the systolic architecture is applied to MGS-QRD and then the conventional QR triangular array of (2m 2 +2m+1) cells onto a linear architecture of m+1 cell is employed to reduce the number of required QR processors. The reduced cells are constructed with a number of basic processing elements such as multipliers and adders etc. The basic elements are constructed by HW architectures. The SW of PowerPC core is used to control to achieve the QR decomposition. In this paper, utilization resource and operation performance in term of equivalent gates and operating cycles are shown.

关键词： Matrix decomposition MIMO Field programmable gate arrays Wireless communication Detectors Silicon Random access memory

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Multimodal Sentiment Analysis using Kernel Based Support Vector Machine 2

Multimodal Sentiment Analysis using Kernel Based Support Vec...

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2nd IEEE International Conference on Advanced Technologies in Intelligent Control, Environment, Computing and Communication engineering, ICATIECE 2022

作者： Kumar, V Sunil Pareek, Piyush Kumar De Albuquerque, Victor Hugo Costa Khanna, Ashish Gupta, Deepak Madhumala, R.B. Nitte Meenakshi Institute of Technology Department Artificial Intelligence and Machine Learning Bengaluru India Graduate Program in Telecommunication Engineering Federal Institute of Education Science and Technology of Ceará Fortaleza Brazil Federal University of Ceará Department of Teleinformatics Engineering Brazil Maharaja Agrasen Institute of Technology GGSIPU CSE Dept India Dayananda Sagar Academy of Technology and Management Department of ISE Bangalore India

ISBN: (纸本)9781665493963

There has been a steady expansion in the number of social websites, electronic media outlets, and blogging services, all of which contribute a large number of user messages such as comments, reviews, and opinions from customers. The quantity of these signals, which are used to evaluate the quality of a wide variety of goods and services, is rather substantial. As a result, it is challenging to monitor and identify the feelings of customers. As a result, a method known as Sentiment Analysis (SA), also known as Opinion Mining (OM), was developed. This method gathers data from the internet by using Natural Language Processing (NLP) strategies and then analyses people's thoughts. It does this by extracting subjective information from the words, assessing opinions, and quantifying positive and negative evaluations. The end result is a conclusion about the specific entity, which may be an organisation, the public, or a product. The NLP first gathers the views, and then those opinions are sorted into positive, neutral, and negative categories. Both the marketing promotion and the customer's ability to choose the most appropriate product for their needs may be improved by doing an analysis. The purpose of this study is to evaluate the use of different machine learning and swarm intelligence optimization methods to perform sentiment analysis on data derived from movie reviews. This study helps many businesses increase their profits while simultaneously lowering the number of problems caused by a certain product. Within the scope of this investigation, three distinct models of sentiment analysis were investigated. An effective method for doing sentiment analysis known as a Hybrid Kernel based Support Vector Machine (HKSVM) has been presented. The preprocessing that is described here is meant to cut down on the data inconsistencies and get rid of the data that isn't needed. After that, the Expectation Maximization (EM) technique is used in order to identify an outlier. After t

关键词： Sentiment analysis

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USASAT-NGSO-3X Filing Analysis Using ITU-BR GIBC Software For Various Orbital Shells

USASAT-NGSO-3X Filing Analysis Using ITU-BR GIBC Software Fo...

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IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)

作者： Fika Triana Meiditomo Sutyarjoko Heroe Wijanto Graduate Program of Regulation and Management of Telecommunication School of Eletrical Engineering Telkom University Bandung Indonesia Regulation and Management of Telecommunication School of Electrical Engineering Telkom University Bandung Indonesia The University Center of Excellence for Intelligent Sensing-IoT School of Electrical Engineering Telkom University Bandung Indonesia

ISBN: (数字)9798331543105

ISBN: (纸本)9798331543112

Interference is a significant problem in satellite communication operations, one of which is between Non-Geostationary Orbit (non-GSO) satellites and Geostationary Orbit (GSO) ground stations. To calculate the impact of this interference, an evaluation of the EPFD (Equivalent Power Flux Density) is carried out, which describes the average power density of the signal received at the receiving station location. This study conducted an in-depth study of the level of interference by signals from the USASAT NGSO-3X satellite in various orbital shells that affect the GSO system. By using the worst-case geometry method, the EPFD calculation can provide valuable insight into the level of interference that occurs. Based on the results of the study, it was concluded that a more in-depth study of the ITU-BR GIBC software algorithm was needed regarding the analysis of EPFD values using the worst-case geometry method. GIBC simulations show inconsistencies in the EPFD values correlated with the values set in Article 22 ITU-R and S.1503-2 ITU-R, both through aggregate and separate orbit examinations, so that a review of the ITU-R S.1503-2 algorithm is needed to ensure that interference between non-GSO satellites and GSO earth stations remains under control within the specified limits.

关键词： Space vehicles Geometry Earth Satellites Aggregates Space technology Software algorithms Interference Orbits Software

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Compliance of Non-GSO Satellite with Radio Regulations Regarding to Interference with GSO Earth Stations. Case Study: Starlink and Telkom 3S

Compliance of Non-GSO Satellite with Radio Regulations Regar...

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International Conference on Information Technology, Information Systems and Electrical engineering (ICITISEE)

作者： Rizki Hidayati Meiditomo Sutyarjoko Heroe Wijanto Graduate Program of Regulation and Management of Telecommunication School of Electrical Engineering Telkom University Bandung Indonesia Regulation and Management of Telecommunication School of Electrical Engineering Telkom University Bandung Indonesia The University Center of Excellence for Intelligent Sensing-IoT School of Electrical Engineering Telkom University Bandung Indonesia

ISBN: (数字)9798350368970

ISBN: (纸本)9798350368987

This research aims an analyze of the interference analysis of the implementation of Telkom-3S and Starlink in Indonesia at downlink Ku-band Frequency based on the epfd calculation. This research conducts an analysis of the effect of avoidance angle on the interference caused by non-GSO satellites, it explores a concept concerning a victim GSO earth station. We use TLE to determine the number of Starlink that visible on the antenna ES of Telkom 3S. Based on the results of the calculations using an avoidance angle 0°- 80°, the higher of avoidance angle, the lower level of epfd and we also recognize that the epfd analyzed exceeds the interference limit suggested by ITU-R article 22 and based on the analysis of the epfd calculation using several avoidance angles, we recommend for Starlink to transmit the power level when the avoidance angle at 10° of ES Telkom 3S.

关键词： Earth Electrical engineering Satellite broadcasting Urban areas Interference Downlink Regulation Uplink Information technology Information systems

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Ant Colony Optimization based Medical Image Preservation and Segmentation 2

Ant Colony Optimization based Medical Image Preservation and...

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2nd IEEE International Conference on Advanced Technologies in Intelligent Control, Environment, Computing and Communication engineering, ICATIECE 2022

作者： Nandihal, Priya Pareek, Piyush Kumar De Albuquerque, Victor Hugo Costa Madhumala, R.B. Khanna, Ashish Sunil Kumar, V. Dayananda Sagar Academy of Technology and Management Dept of Computer Science and Design Bangalore India Graduate Program in Telecommunication Engineering Federal Institute of Education Science and Technology of Ceara Fortaleza Brazil Federal University of Ceara Department of Teleinformatics Engineering Brazil Maharaja Agrasen Institute of Technology GGSIPU CSE Dept India Nitte Meenakshi Institute of Technology Department of Artificial Intelligence & Machine Learning Bengaluru India

ISBN: (纸本)9781665493963

Image segmentation is an essential component in many different types of computer vision systems. Image segmentation is used in order to identify objects and boundaries within pictures. It is important to note that the success of recognition algorithms is heavily dependent on the quality of the picture segmentation, and there is yet no technique that can universally segment images. Boundary detection has a long history of being recognised as one of the most difficult challenges in the fields of image processing and pattern analysis, in particular, when it comes to applications in medical imaging. The clarity of the picture is being muddled by more information, which is the source of the problem's complexity. The creation of segmentation algorithms for medical pictures is an active field of study, and segmentation algorithms are meant to account for a variety of factors, including noise, intensity inhomogeneity, poor contrast between the lesion and the surrounding skin, and so on. There is currently no active contour model that combines the locally statistical property of being more noise-resistant, in which the intensities in the transformed domain have less overlapping in the statistics, and the locally image fitting property of extracting the local image information in order to be able to segment images with intensity inhomogeneity. This is because there is no such model. So the proposed work includes Ant colony optimization based double threshold segmentation in medical images. Performance of the proposed algorithm is more efficient, reliable and accurate than the existing algorithm. Performance parameters such as segmentation accuracy, error rate, and Dice co-efficient are used in order to conduct the evaluation of the proposed work. © 2022 IEEE.

关键词： Impulse noise

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Design and Implementation of a Low-Cost Robotic Load Carrier

Design and Implementation of a Low-Cost Robotic Load Carrier

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Annual Conference of the IEEE Industrial Electronics Society

作者： Leonardo Adolpho Silva Julio Justino Braz de Jesus Cardoso Fabricio Pujatti Dept. of Telecommunication and Mechatronic Engineering Federal University of S. Joao del Rei Graduate Program in Electrical Engineering Federal University of Minas Gerais Dept. of Mechanical Engineering Federal University of Minas Gerais

ISBN: (纸本)9781479940318

Many professional or daily activities demand load displacement by human arms or by human powered vehicles. Those activities may cause muscle-skeleton diseases even in load carrying professionals as in people carrying their daily objects. In the field of robotics, the research developments to help people at those activities are made through human-robot cooperation systems actuated by servo drives. Due to the cost of those drives, many people are not able to acquire the robots and so they are prohibited from getting the associated health benefits. To promote robot-aided solutions, this paper presents the design and implementation of a load carrier human-robot cooperation system, which is built through an electrical load cart and driven by frequency inverter and induction motor. The robot controller is implemented by a force regulation structure which allows the conductor to set the mechanical trajectories through the multiplication of the force applied by his/her arms. Since the arms have a higher positioning bandwidth than the conductor's legs, the controller dynamic response is tuned with human leg dynamics in mind, so as to increase the operational safety. The paper presents details of mounting, firmware design and measurements to show the robot performance.

关键词： Human-robot cooperation Electrical vehicle Cost Effective

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Design and implementation of a low-cost robotic load carrier

Design and implementation of a low-cost robotic load carrier

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作者： Silva, Leonardo Adolpho Justino, Julio De Jesus Cardoso, Braz Pujatti, Fabricio Dept. of Telecommunication and Mechatronic Engineering Federal University of S. Joao Del Rei Rodovia MG443 km7 Branco Minas Gerais Brazil Graduate Program in Electrical Engineering Federal University of Minas Gerais Av. Antônio Carlos 6627 Belo Horizonte31270-901 Brazil Dept. of Mechanical Engineering Federal University of Minas Gérais Av. Antônio Carlos 6627 Belo Horizonte31270-901 Brazil

ISBN: (纸本)9781479940325

关键词： Cost effectiveness

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Towards statistical linear accuracy of neighbor matching localization in Wi-Fi environment

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Journal of Computational Information Systems 2013年第22期9卷 9177-9184页

作者： Zhou, Mu Tian, Zengshan Xu, Kunjie Hong, Xia Tang, Xiaomou Chongqing Key Lab. of Mobile Communications Technology School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing 400065 China Graduate Telecommunication and Networking Program School of Information Science University of Pittsburgh Pittsburgh 15260 United States

As one of the most significant work of interest for the pervasive computing and ubiquitous context-awareness, the ways to effectively locate people's positions and realize the real-time interaction among different location-based services and devices have always been seriously concerned. Although a large number of localization systems for outdoor environments have been proposed in the past decade ranging from the military to public uses, their accuracy in indoor and urban environments can not be guaranteed because of the received signal strength (RSS) shadowing and multi-path interference. Therefore, the neighbor matching localization using Wi-Fi network in indoor areas has been significantly favored since the invention of the world's first RSS fingerprints-based RADAR localization system in 2000. However, there is no rigorous analytical solution to the statistical errors of neighbor matching localization. Therefore, we will present some mathematical analysis towards the statistical linear errors of neighbor matching localization and introduce the position entropy as a new metric to examine the variations of accuracy. Furthermore, the mathematical results and some related interesting observations from this paper are also verified by the numerical and simulation evaluations. © 2013 Binary Information Press.

关键词： Entropy

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