Hardware Implementations Of Ccsds Deep Space Ldpc Codes For A Satellite Transponder,
2020
Utah State University
Hardware Implementations Of Ccsds Deep Space Ldpc Codes For A Satellite Transponder, Dana R. Sorensen
All Graduate Plan B and other Reports, Spring 1920 to Spring 2023
Error-correction coding is a technique that adds mathematical structure to a message, allowing corruptions to be detected and corrected when the message is received. This is especially important for deep space satellite communications, since the long distances and low signal power levels often cause message corruption. A very strong type of error-correction coding known as LDPC codes was recently standardized for use with space communications. This project implements the encoding and decoding algorithms required for a small satellite radio to be able to use these LDPC codes. Several decoder architectures are implemented and compared by their performance, speed, and complexity. …
Transfer-To-Transfer Learning Approach For Computer Aided Detection Of Covid-19 In Chest Radiographs,
2020
University of Dayton
Transfer-To-Transfer Learning Approach For Computer Aided Detection Of Covid-19 In Chest Radiographs, Barath Narayanan Narayanan, Russell C. Hardie, Vignesh Krishnaraja, Christina Karam, Venkata Salini Priyamvada Davuluru
Electrical and Computer Engineering Faculty Publications
The coronavirus disease 2019 (COVID-19) global pandemic has severely impacted lives across the globe. Respiratory disorders in COVID-19 patients are caused by lung opacities similar to viral pneumonia. A Computer-Aided Detection (CAD) system for the detection of COVID-19 using chest radiographs would provide a second opinion for radiologists. For this research, we utilize publicly available datasets that have been marked by radiologists into two-classes (COVID-19 and non-COVID-19). We address the class imbalance problem associated with the training dataset by proposing a novel transfer-to-transfer learning approach, where we break a highly imbalanced training dataset into a group of balanced mini-sets and …
Designing And Evaluating Of Mimo Systems For Millimeter-Wave Communications,
2020
Boise State University
Designing And Evaluating Of Mimo Systems For Millimeter-Wave Communications, Mojtaba Ahmadi Almasi
Boise State University Theses and Dissertations
The fifth generation (5G) of wireless communications will integrate all existing technologies while bringing its own to the system. Amongst these technologies, millimeter-wave (mmWave) is emerging as a promising solution for 5G systems. However, to fully harness the potential of mmWave communications, obstacles such as severe path loss, channel sparsity, and hardware complexity should be overcome. The existing cost-effective systems can considerably reduce the hardware complexity and partially severe path loss, while channel sparsity still remains a main problem. Other factors such as transmission reliability and coverage area should be considered in 5G mmWave communications. Non-orthogonal multiple access (NOMA) is …
Simulation Of An Sp8t 18 Ghz Rf Switch Using Smt Pin Diodes,
2020
California Polytechnic State University, San Luis Obispo
Simulation Of An Sp8t 18 Ghz Rf Switch Using Smt Pin Diodes, Andre De Souza Vigano
Master's Theses
Radio frequency (RF) and microwave switches are widely used in several different applications including radar, measurement systems, telecommunications, and other areas. An RF switch can control a radar’s transmit vs. receive mode, select the operating band, or direct an RF signal to different paths. In this study, a single pole eight throw (SP8T) switch using only Surface Mount (SMT) components is designed and simulated in Keysight’s Advanced Design System (ADS). Single pole eight throw is defined as one input and eight possible outputs. A star network configuration with series-shunt PIN diode switches is used to create the 8-way RF switch. …
An Exploratory Study Of Pulse Width And Delta Sigma Modulators,
2020
Cal Poly SLO
An Exploratory Study Of Pulse Width And Delta Sigma Modulators, Logan B. Penrod
Master's Theses
This paper explores the noise shaping and noise producing qualities of Delta-Sigma Modulators (DSM) and Pulse-Width Modulators (PWM). DSM has long been dominant in the Delta Sigma Analog-to-Digital Converter (DSADC) as a noise-shaped quantizer and time discretizer, while PWM, with a similar self oscillating structure, has seen use in Class D Power Amplifiers, performing a similar function. It has been shown that the PWM in Class D Amplifiers outperforms the DSM [1], but could this advantage be used in DSADC use-cases? LTSpice simulation and printed circuit board implementation and test are used to present data on four variations of these …
Iot Camera System For Monitoring Strawberry Fields,
2020
California Polytechnic State University, San Luis Obispo
Iot Camera System For Monitoring Strawberry Fields, Simon Schoennauer
Master's Theses
A wireless imaging system for monitoring strawberry fields provides enough quality image data for computer vision algorithms to make meaningful yield predictions. This report contains a design for a wireless sensor network modified with mesh networking techniques to extend coverage range and a solar energy harvesting system to improve sensor node lifetime. A two hop system with six nodes is implemented in a laboratory environment validating the communication systems integrity over an 800’ range. Moving from a primary battery system to solar energy harvesting increases the module lifetime indefinitely.
Convolutional Neural Network On Tanned And Synthetic Leather Textures,
2020
Department of Informatics, Universitas Ahmad Dahlan, Indonesia
Convolutional Neural Network On Tanned And Synthetic Leather Textures, Faadihilah Ahnaf Faiz, Ahmad Azhari
Knowledge Engineering and Data Science
Tanned leather is an output from complex processes called tanning. Leather tanning is an important step that used to protect the fiber or protein structure of animal’s skin. Another reason of tanning process is to prevent the animal’s skin from any defect or rot. After the tanning is complete, the leather can be applied to produce a wide variety of leather products. Thus, the leather prices usually more expensive because it takes longer time in process. Another way to get cheaper price is make non-animal leather that usually known as synthetic or imitation leather. The purpose of this paper is …
Simple Modification For An Apriori Algorithm With Combination Reduction And Iteration Limitation Technique,
2020
Department of Information Technology, Universitas Pendidikan Nasional, Indonesia
Simple Modification For An Apriori Algorithm With Combination Reduction And Iteration Limitation Technique, Adie Wahyudi Oktavia Gama, Ni Made Widnyani
Knowledge Engineering and Data Science
Apriori algorithm is one of the methods with regard to association rules in data mining. This algorithm uses knowledge from an itemset previously formed with frequent occurrence frequencies to form the next itemset. An a priori algorithm generates a combination by iteration methods that are using repeated database scanning process, pairing one product with another product and then recording the number of occurrences of the combination with the minimum limit of support and confidence values. The a priori algorithm will slow down to an expanding database in the process of finding frequent itemset to form association rules. Modification techniques are …
A Review Of Accessing Big Data With Significant Ontologies,
2020
Department of Computer Information Systems, Al-Quds Open University, Palestine
A Review Of Accessing Big Data With Significant Ontologies, Jumah Y.J Sleeman, Jehad A.H Hammad
Knowledge Engineering and Data Science
Ontology Based Data Access (OBDA) is a recently proposed approach which is able to provide a conceptual view on relational data sources. It addresses the problem of the direct access to big data through providing end-users with an ontology that goes between users and sources in which the ontology is connected to the data via mappings. We introduced the languages used to represent the ontologies and the mapping assertions technique that derived the query answering from sources. Query answering is divided into two steps: (i) Ontology rewriting, in which the query is rewritten with respect to the ontology into new …
Efficient Scheduling Of Plantation Company Workers Using Genetic Algorithm,
2020
Faculty of Computer Science, Brawijaya University, Indonesia
Efficient Scheduling Of Plantation Company Workers Using Genetic Algorithm, Wayan Firdaus Mahmudy, Andreas Pardede, Agus Wahyu Widodo, Muh Arif Rahman
Knowledge Engineering and Data Science
Workers at large plantation companies have various activities. These activities include caring for plants, regularly applying fertilizers according to schedule, and crop harvesting activities. The density of worker activities must be balanced with efficient and fair work scheduling. A good schedule will minimize worker dissatisfaction while also maintaining their physical health. This study aims to optimize workers' schedules using a genetic algorithm. An efficient chromosome representation is designed to produce a good schedule in a reasonable amount of time. The mutation method is used in combination with reciprocal mutation and exchange mutation, while the type of crossover used is one …
Segmentation Method For Face Modelling In Thermal Images,
2020
Department of Electrical Engineering, Politeknik Negeri Padang, Indonesia
Segmentation Method For Face Modelling In Thermal Images, Albar Albar, Hendrick Hendrick, Rahmat Hidayat
Knowledge Engineering and Data Science
Face detection is mostly applied in RGB images. The object detection usually applied the Deep Learning method for model creation. One method face spoofing is by using a thermal camera. The famous object detection methods are Yolo, Fast Region Based Convolutional Neural Networks (RCNN), Faster RCNN, SSD, and Mask RCNN. We proposed a segmentation Mask RCNN method to create a face model from thermal images. This model was able to locate the face area in images. The dataset was established using 1600 images. The images were created from direct capturing and collecting from the online dataset. The Mask RCNN was …
Generating Javanese Stopwords List Using K-Means Clustering Algorithm,
2020
Electrical Engineering Department, Universitas Negeri Malang, Indonesia
Generating Javanese Stopwords List Using K-Means Clustering Algorithm, Aji Prasetya Wibawa, Hidayah Kariima Fithri, Ilham Ari Elbaith Zaeni, Andrew Nafalski
Knowledge Engineering and Data Science
Stopword removal necessary in Information Retrieval. It can remove frequently appeared and general words to reduce memory storage. The algorithm eliminates each word that is precisely the same as the word in the stopword list. However, generating the list could be time-consuming. The words in a specific language and domain must be collected and validated by specialists. This research aims to develop a new way to generate a stop word list using the K-means Clustering method. The proposed approach groups words based on their frequency. The confusion matrix calculates the difference between the findings with a valid stopword list created …
Power-Weighted Lpc Formant Estimation,
2020
Dublin Institute of Technology
Power-Weighted Lpc Formant Estimation, Ruairí De Fréin
Conference papers
A power-weighted formant frequency estimation procedure based on Linear Predictive Coding (LPC) is presented. It works by pre-emphasizing the dominant spectral components of an input signal, which allows a subsequent estimation step to extract formant frequencies with greater accuracy. The accuracy of traditional LPC formant estimation is improved by this new power-weighted formant estimator for different classes of synthetic signals and for speech. Power-weighted LPC significantly and reliably outperforms LPC and variants of LPC at the task of formant estimation using the VTR formants dataset, a database consisting of the Vocal Tract Resonance (VTR) frequency trajectories obtained by human experts …
Energy-Efficient Communications In Wireless Powered Cognitive Radio Networks Based On Game Theory,
2020
Universiti Malaya
Energy-Efficient Communications In Wireless Powered Cognitive Radio Networks Based On Game Theory, Fadhil Mukhlif Aswad Al-Obaidy
Student Works (2020-2029)
There are challenging and prevalent problems related to spectrum resources with the interference of battery-based devices in future wireless networks. To address such challenges, this thesis proposes a theoretical framework for designing and analyzing the distributed power control algorithms in modern 5G cognitive networks. Previous experiments have shown that game theory tools can be used as a suitable and efficient technique to build scalable, balanced, and energy efficient for the distributed power control schemes in order to use it practically in battery-based devices in wireless networks. In reality, the power control issue is constructed as a non-cooperative game for which …
Fifth Generation Antennas: A Bibliometric Survey And Future Research Directions,
2020
Symbiosis International University
Fifth Generation Antennas: A Bibliometric Survey And Future Research Directions, Amruta S. Dixit, Laxmikant K. Shevada, Hema D. Raut, Rajeshwari R. Malekar, Sumit Kumar
Library Philosophy and Practice (e-journal)
As the 5G technology is going to be deployed soon, so the research on the 5G antennas as a part of communication devices becomes an important aspect. One of the important components of the 5G communication system is an antenna that is essential for the transmission and reception of the 5G signals. The international telecommunication union (ITU) has provided different specifications for the 5G communication system. The 5G antenna should operate at frequency range 1 and 2 (FR1 and FR2) specified by the ITU. The proliferation of various 5G antenna designs is surveyed in this bibliometric paper. The bibliometric survey …
Predicting Quality Of Delivery Metrics For Adaptive Video Codec Sessions,
2020
Technological University Dublin
Predicting Quality Of Delivery Metrics For Adaptive Video Codec Sessions, Obinna Izima, Ruairí De Fréin, Mark Davis
Conference papers
Predicting video quality will continue to be an active area of research given the dominance of video traffic for years to come. Network service practitioners that are poised to handle the strain on the existing limited bandwidth constraints are better placed to be SLA-compliant. The dynamic and time-varying nature of cloud-hosted services require improved techniques to realize accurate models of the systems. To address this challenge: (1) we propose Codec-aware Network Adaptation Agent (cNAA), an online light-weight data learning engine that achieves accurate and correct predictions of quality of delivery (QoD) metrics, namely jitter for video services. cNAA achieves this …
Iot Asset Tracker,
2020
California Polytechnic State University, San Luis Obispo
Iot Asset Tracker, Jonny M. Erickson, Matt A. Murray
Electrical Engineering
This senior project will be the completion of an IoT asset Tracker. In today’s day and age, technology is weaving its way into every aspect of life. Because of this, we demand to know more and more information about everything that is going on in our lives. One of these needed pieces of information is knowing the location of our most valuable assets. This is the main goal of this project: to build a portable SMS driven GNSS tracking device. The device is designed to provide two methods of tracking for any mobile asset. The device will utilize a large …
Ofdm Simulation,
2020
California Polytechnic State University, San Luis Obispo
Ofdm Simulation, Joseph W. Bednar
Electrical Engineering
The project objective is to provide a tool that will allow the user to simulate an adaptive OFDM (Orthogonal Frequency-Division Multiplexing) communication system in the presence of various types of interference and noise. The open-source code allows students and engineers to adjust the modulation, threshold settings, and distortion effects in the channel while observing the output bit error rate. The results the simulation provides will aid researchers in attempting to characterize the interference of OFDM based systems and their effectiveness in the presence of noise.
The Role Of Network Components In Improving The Reliability And Survivability Of Mobile Communication Networks,
2020
Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi, Uzbekistan
The Role Of Network Components In Improving The Reliability And Survivability Of Mobile Communication Networks, Dilmurod Davronbekov, Utkir Karimovich Matyokubov
Acta of Turin Polytechnic University in Tashkent
This article compares the different architectures of mobile communication networks (MCN) and examines the survivability of the network. Typical survival strategies for improving MCN survivability, failure mitigation strategies for network elements, wireless network survival rates, failure scenarios at MCN levels, and survival indicators are presented. The importance of fiber-optic communication in the construction of communication lines between MCN components has been studied. The issue of designing MCNs in a cost-effective and highly viable way is considered, and the necessary expressions of the design process are given.
A Statistical Impulse Response Model Based On Empirical Characterization Of Wireless Underground Channel,
2020
Purdue University
A Statistical Impulse Response Model Based On Empirical Characterization Of Wireless Underground Channel, Abdul Salam, Mehmet C. Vuran, Suat Irmak
Computer Information Technology Faculty Publications
Wireless underground sensor networks (WUSNs) are becoming ubiquitous in many areas. The design of robust systems requires extensive understanding of the underground (UG) channel characteristics. In this paper, an UG channel impulse response is modeled and validated via extensive experiments in indoor and field testbed settings. The three distinct types of soils are selected with sand and clay contents ranging from $13\%$ to $86\%$ and $3\%$ to $32\%$, respectively. The impacts of changes in soil texture and soil moisture are investigated with more than $1,200$ measurements in a novel UG testbed that allows flexibility in soil moisture control. Moreover, the …
