Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- TÜBİTAK (3106)
- University of Nebraska - Lincoln (642)
- Universitas Indonesia (431)
- Embry-Riddle Aeronautical University (428)
- Marquette University (391)
-
- California Polytechnic State University, San Luis Obispo (169)
- University of Dayton (164)
- Old Dominion University (127)
- University of South Carolina (115)
- Universitas Negeri Malang (103)
- University of Nevada, Las Vegas (96)
- Western University (82)
- University of New Haven (71)
- Purdue University (68)
- Technological University Dublin (68)
- Air Force Institute of Technology (66)
- Portland State University (47)
- University of Kentucky (45)
- The University of Akron (43)
- University of Arkansas, Fayetteville (43)
- Chapman University (40)
- University of New Mexico (38)
- Clemson University (34)
- University of Texas at El Paso (33)
- Michigan Technological University (32)
- Cleveland State University (31)
- Santa Clara University (31)
- South Dakota State University (28)
- New Jersey Institute of Technology (25)
- Tashkent State Technical University (22)
- Keyword
-
- Machine learning (134)
- Deep learning (114)
- Optimization (101)
- Classification (95)
- Genetic algorithm (60)
-
- Particle swarm optimization (52)
- Security (49)
- Digital forensics (48)
- Wireless sensor networks (46)
- Machine Learning (45)
- Robotics (42)
- Computer vision (40)
- Deep Learning (40)
- Feature extraction (39)
- Support vector machine (38)
- Artificial neural network (37)
- Artificial intelligence (36)
- FPGA (35)
- Clustering (33)
- Computer Engineering (33)
- Feature selection (32)
- Neural networks (32)
- Artificial neural networks (31)
- Fuzzy logic (31)
- Image processing (31)
- Simulation (30)
- Distributed generation (29)
- Induction motor (29)
- Neural network (29)
- Renewable energy (29)
- Publication Year
- Publication
-
- Turkish Journal of Electrical Engineering and Computer Sciences (3106)
- Department of Electrical and Computer Engineering: Faculty Publications (496)
- Makara Journal of Technology (431)
- Electrical and Computer Engineering Faculty Research and Publications (389)
- Journal of Digital Forensics, Security and Law (289)
-
- Electrical and Computer Engineering Faculty Publications (201)
- Publications (125)
- Knowledge Engineering and Data Science (103)
- Theses and Dissertations (102)
- Annual ADFSL Conference on Digital Forensics, Security and Law (101)
- Electrical & Computer Engineering Theses & Dissertations (95)
- Electrical and Computer Engineering Publications (81)
- Electrical & Computer Engineering and Computer Science Faculty Publications (70)
- Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research (66)
- UNLV Theses, Dissertations, Professional Papers, and Capstones (63)
- Electronic Theses and Dissertations (60)
- Master's Theses (60)
- Computer Engineering (53)
- School of Computing: Conference and Workshop Papers (43)
- Electrical Engineering (42)
- Williams Honors College, Honors Research Projects (42)
- Engineering Faculty Articles and Research (32)
- Faculty Publications (32)
- Open Access Theses & Dissertations (32)
- Conference papers (28)
- Dissertations (27)
- Electrical and Computer Engineering ETDs (27)
- Graduate Theses and Dissertations (26)
- Dissertations, Master's Theses and Master's Reports (24)
- Electrical & Computer Engineering Faculty Research (24)
- Publication Type
- File Type
Articles 4351 - 4380 of 7215
Full-Text Articles in Computer Engineering
An Innovative Peak Detection Algorithm For Photoplethysmography Signals: An Adaptive Segmentation Method, Ahmet Reşi̇t Kavsaoğlu, Kemal Polat, Mehmet Recep Bozkurt
An Innovative Peak Detection Algorithm For Photoplethysmography Signals: An Adaptive Segmentation Method, Ahmet Reşi̇t Kavsaoğlu, Kemal Polat, Mehmet Recep Bozkurt
Turkish Journal of Electrical Engineering and Computer Sciences
The purpose of this paper is twofold. The first purpose is to detect M-peaks from raw photoplethysmography (PPG) signals with no preprocessing method applied to the signals. The second purpose is to estimate heart rate variability (HRV) by finding the peaks in the PPG signal. HRV is a measure of the fluctuation of the time interval between heartbeats and is calculated based on time series between strokes derived from electrocardiogram (ECG), arterial pressure (AP), or PPG signals, separately. PPG is a method widely used to measure blood volume of tissue on the basis of blood volume change in every heartbeat. …
Finger-Vein Biometric Identification Using Convolutional Neural Network, Syafeeza Ahmad Radzi, Mohamed Khalil Hani, Rabia Bakhteri
Finger-Vein Biometric Identification Using Convolutional Neural Network, Syafeeza Ahmad Radzi, Mohamed Khalil Hani, Rabia Bakhteri
Turkish Journal of Electrical Engineering and Computer Sciences
A novel approach using a convolutional neural network (CNN) for finger-vein biometric identification is presented in this paper. Unlike existing biometric techniques such as fingerprint and face, vein patterns are inside the body, making them virtually impossible to replicate. This also makes finger-vein biometrics a more secure alternative without being susceptible to forgery, damage, or change with time. In conventional finger-vein recognition methods, complex image processing is required to remove noise and extract and enhance the features before the image classification can be performed in order to achieve high performance accuracy. In this regard, a significant advantage of the CNN …
A New Security Relation Between Information Rate And State Size Of A Keystream Generator, Orhun Kara, İmran Ergüler, Emi̇n Anarim
A New Security Relation Between Information Rate And State Size Of A Keystream Generator, Orhun Kara, İmran Ergüler, Emi̇n Anarim
Turkish Journal of Electrical Engineering and Computer Sciences
Wireless communication in near field applications is becoming widespread. Most of the devices such as sensor networks or RFID applications are operated in constraint environments and some of these prevalent technologies require security applications. As one conclusion, the design and analysis of lightweight cryptographic algorithms has been one of the favorite research subjects over the last decade. We have seen that mostly lightweight block ciphers have been designed as symmetric encryption algorithms. The main reason is that stream ciphers are supposed to have large internal states due to the strict requirement related to their resistance against tradeoff attacks (time--memory--data tradeoff …
Gain And Coherence Collapse Condition For A Laser Diode With Optoelectronic Feedback Using Volterra Series, Remzi̇ Yildirim, Hüseyi̇n Canbolat
Gain And Coherence Collapse Condition For A Laser Diode With Optoelectronic Feedback Using Volterra Series, Remzi̇ Yildirim, Hüseyi̇n Canbolat
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Power Management Using Dynamic Power State Transitions And Dynamic Voltage Frequency Scaling Controls In Virtualized Server Clusters, Mohan Raj Velayudhan Kumar, Shriram Raghunathan
Power Management Using Dynamic Power State Transitions And Dynamic Voltage Frequency Scaling Controls In Virtualized Server Clusters, Mohan Raj Velayudhan Kumar, Shriram Raghunathan
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Gravitational Search Algorithm For Determining Controller Parameters In An Automatic Voltage Regulator System, Serhat Duman, Nuran Yörükeren, İsmai̇l Hakki Altaş
Gravitational Search Algorithm For Determining Controller Parameters In An Automatic Voltage Regulator System, Serhat Duman, Nuran Yörükeren, İsmai̇l Hakki Altaş
Turkish Journal of Electrical Engineering and Computer Sciences
proportional-integral-derivate (PID) controller for an automatic voltage regulator (AVR) system using a heuristic gravitational search algorithm (GSA) based on mass interactions and Newton's law of gravity. The determination of optimal controller parameters is considered an optimization problem in which different performance indexes and a performance criterion in the time domain have been used as objective functions to test the performance and effectiveness of the GSA. In the determining process of the parameters, the designed PID controller with the proposed approach is simulated under different conditions and the performance of the controller is compared with those reported in the literature. From …
An Efficient Lof-Based Long-Range Correlation Filter For The Restoration Of Salt And Pepper Impulse Corrupted Digital Images, Justin Varghese, Saudia Subash, Mohamed Samiulla Khan, Krishnan Nallaperumal, Bijoy Babu, Mohammed Ramadan Saadi
An Efficient Lof-Based Long-Range Correlation Filter For The Restoration Of Salt And Pepper Impulse Corrupted Digital Images, Justin Varghese, Saudia Subash, Mohamed Samiulla Khan, Krishnan Nallaperumal, Bijoy Babu, Mohammed Ramadan Saadi
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Investigation Of An Object Follower System, Eli̇f Erzan Topçu, Ahmet Demi̇rkesen, İbrahi̇m Yüksel
Investigation Of An Object Follower System, Eli̇f Erzan Topçu, Ahmet Demi̇rkesen, İbrahi̇m Yüksel
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Implementation Analyses Of Proteins And Genes Obtained From Cancer Patients, Murat Demi̇r, Ali̇ Karci
Implementation Analyses Of Proteins And Genes Obtained From Cancer Patients, Murat Demi̇r, Ali̇ Karci
Turkish Journal of Electrical Engineering and Computer Sciences
bioinformatics and computational molecular biology, since these studies may result in important results in the case of diseases. Due to this, in this study, bioinformatics data were analyzed based on nucleotides and motifs. Bioinformatics data for proteins were obtained from two different databases. The obtained data belonged to cancer patients, and the genes in these DNA and protein sequences, the proteins synthesized by these sequences, and motifs in these data were analyzed. In the analysis, the ABCB1, ALOX5AP, AKT1, BRCA1, BRCA2, TNF, TNFSF13B, TP53, TP63, TP73, and WT1 genes were used. The proteins synthesized by genes belonging to similar classes …
Short-Term Economic Emission Power Scheduling Of Hydrothermal Systems Using Improved Chaotic Hybrid Differential Evolution, Tahir Nadeem Malik, Salman Zafar, Saaqib Haroon
Short-Term Economic Emission Power Scheduling Of Hydrothermal Systems Using Improved Chaotic Hybrid Differential Evolution, Tahir Nadeem Malik, Salman Zafar, Saaqib Haroon
Turkish Journal of Electrical Engineering and Computer Sciences
utilities to retain their generations within maximum allowable emission levels. Therefore, in present-day power system operations, the minimization of emission pollutants along with the total fuel cost has become an important aspect in short-term generation scheduling of hydrothermal power systems. This paper presents an improved hybrid approach based on the application of chaos theory in a differential evolution (DE) algorithm for the solution of this biobjective constrained optimization problem. In this proposed methodology, self-adjusted parameter setting in DE is obtained by using chaotic sequences. Secondly, a chaotic hybridized local search mechanism is embedded in DE to avoid it from trapping …
Cascaded Half-Full-Bridge Pwm Multilevel Inverter Configuration, Charles Ikechukwu Odeh
Cascaded Half-Full-Bridge Pwm Multilevel Inverter Configuration, Charles Ikechukwu Odeh
Turkish Journal of Electrical Engineering and Computer Sciences
inverter topology. It is made up of a main inverting H-bridge legs and level-clamping half-bridge circuits, each having its own dc source. The single-carrier, multilevel PWM scheme is employed to generate gating signals for the power switches. The modulation scheme is hybridized to enable the output voltage of the proposed inverter configuration to inherit the features of switching-loss reduction from fundamental PWM and good harmonic performance from multiple sinusoidal PWM. Moreover, a simple base PWM circulation scheme is also introduced in this work to obtain a resultant sequential switching hybrid PWM (SSHPWM) circulation that balances power dissipation among the four …
A Current Feedback Control Strategy For Parallel-Connected Single-Phase Inverters Using A Third-Order General-Integrator Crossover Cancellation Method, Yuan Huang, An Luo
A Current Feedback Control Strategy For Parallel-Connected Single-Phase Inverters Using A Third-Order General-Integrator Crossover Cancellation Method, Yuan Huang, An Luo
Turkish Journal of Electrical Engineering and Computer Sciences
Virtual impedance is usually introduced to the control system of parallel inverters in order to change the inverter equivalent output impedance and to enhance control accuracy and power sharing. In this paper, a current feedback control strategy using a third-order general-integrator crossover-cancellation method that can be implemented in a virtual impedance loop is proposed. This method consists of 2 parts: a crossover-cancellation feedback network, which achieves the band-pass effect, and a multilevel TOGI-OSG link, which acts as a filter. Compared with the conventional virtual impedance method, the proposed method can avoid derivation of output current, reduce system calculating burden, and …
The Use Of Cross-Company Fault Data For The Software Fault Prediction Problem, Çağatay Çatal
The Use Of Cross-Company Fault Data For The Software Fault Prediction Problem, Çağatay Çatal
Turkish Journal of Electrical Engineering and Computer Sciences
We investigated how to use cross-company (CC) data in software fault prediction and in predicting the fault labels of software modules when there are not enough fault data. This paper involves case studies of NASA projects that can be accessed from the PROMISE repository. Case studies show that CC data help build high-performance fault predictors in the absence of fault labels and remarkable results are achieved. We suggest that companies use CC data if they do not have any historical fault data when they decide to build their fault prediction models.
Robust Multi-Criteria Optimal Fuzzy Control Of Discrete-Time Nonlinear Systems, Xin Wang, Edwin E. Yaz
Robust Multi-Criteria Optimal Fuzzy Control Of Discrete-Time Nonlinear Systems, Xin Wang, Edwin E. Yaz
Electrical and Computer Engineering Faculty Research and Publications
This paper presents a novel fuzzy control design of discrete-time nonlinear systems with multiple performance criteria. The purpose behind this work is to improve the traditional fuzzy controller performance to satisfy several performance criteria simultaneously to secure quadratic optimality with an inherent stability property together with a dissipativity type of disturbance reduction. The Takagi–Sugeno-type fuzzy model is used in our control system design. By solving a linear matrix inequality at each time step, the optimal control solution can be found to satisfy mixed performance criteria. The effectiveness of the proposed technique is demonstrated by simulation of the control of the …
A Computationally Efficient Method For Calculation Of Strand Eddy Current Losses In Electric Machines, Alireza Fatemi, Dan M. Ionel, Nabeel Demerdash, Dave A. Staton, Rafal Wrobel, Yew Chuan Chong
A Computationally Efficient Method For Calculation Of Strand Eddy Current Losses In Electric Machines, Alireza Fatemi, Dan M. Ionel, Nabeel Demerdash, Dave A. Staton, Rafal Wrobel, Yew Chuan Chong
Electrical and Computer Engineering Faculty Research and Publications
In this paper, a fast finite element (FE)-based method for the calculation of eddy current losses in the stator windings of randomly wound electric machines with a focus on fractional slot concentrated winding (FSCW) permanent magnet (PM) machines will be presented. The method is particularly suitable for implementation in large-scale design optimization algorithms where a qualitative characterization of such losses at higher speeds is most beneficial for identification of the design solutions which exhibit the lowest overall losses including the ac losses in the stator windings. Unlike the common practice of assuming a constant slot fill factor, sf, for all …
Sensor-Based Estimation Of Btex Concentrations In Water Samples Using Recursive Least Squares And Kalman Filter Techniques, Karthick Sothivelr, Florian Bender, Fabien Josse, Edwin E. Yaz, Antonio J. Ricco
Sensor-Based Estimation Of Btex Concentrations In Water Samples Using Recursive Least Squares And Kalman Filter Techniques, Karthick Sothivelr, Florian Bender, Fabien Josse, Edwin E. Yaz, Antonio J. Ricco
Electrical and Computer Engineering Faculty Research and Publications
This work investigates sensor signal processing approaches that can be used with a sensor system for direct on-site monitoring of groundwater, enabling detection and quantification of BTEX (benzene, toluene, ethylbenzene and xylene) compounds at μg/L (ppb) concentrations in the presence of interferents commonly found in groundwater. A model for the sensor response to water samples containing multiple analytes was first formulated based on experimental results. The first signal processing approach utilizes only RLSE (recursive least squares estimation) whereas the second, a two-step processing technique, utilizes both RLSE and bank of Kalman filters for the estimation process. The estimation techniques were …
On The Analytical Formulation Of Excess Noise In Avalanche Photodiodes With Dead Space, Erum Jamil, Jeng Shiuh Cheong, J.P.R. David, Majeed M. Hayat
On The Analytical Formulation Of Excess Noise In Avalanche Photodiodes With Dead Space, Erum Jamil, Jeng Shiuh Cheong, J.P.R. David, Majeed M. Hayat
Electrical and Computer Engineering Faculty Research and Publications
Simple, approximate formulas are developed to calculate the mean gain and excess noise factor for avalanche photodiodes using the dead-space multiplication theory in the regime of small multiplication width and high applied electric field. The accuracy of the approximation is investigated by comparing it to the exact numerical method using recursive coupled integral equations and it is found that it works for dead spaces up to 15% of the multiplication width, which is substantial. The approximation is also tested for real materials such as GaAs, InP and Si for various multiplication widths, and the results found are accurate within ∼ …
Digital Forensics In Law Enforcement: A Needs Based Analysis Of Indiana Agencies, Teri A. Cummins Flory
Digital Forensics In Law Enforcement: A Needs Based Analysis Of Indiana Agencies, Teri A. Cummins Flory
Journal of Digital Forensics, Security and Law
Cyber crime is a growing problem, with the impact to society increasing exponentially, but the ability of local law enforcement agencies to investigate and successfully prosecute criminals for these crimes is unclear. Many national needs assessments have previously been conducted, and all indicated that state and local law enforcement did not have the training, tools, or staff to effectively conduct digital investigations, but very few have been completed recently. This study provided a current and localized assessment of the ability of Indiana law enforcement agencies to effectively investigate crimes involving digital evidence, the availability of training for both law enforcement …
Verification Of Recovered Digital Evidence On The Amazon Kindle, Marcus Thompson, Raymond Hansen
Verification Of Recovered Digital Evidence On The Amazon Kindle, Marcus Thompson, Raymond Hansen
Journal of Digital Forensics, Security and Law
The Amazon Kindle is a popular e-book reader. This popularity will lead criminals to use the Kindle as an accessory to their crime. Very few Kindle publications in the digital forensics domain exist at the time of this writing. Various blogs on the Internet currently provide some of the foundation for Kindle forensics. For this research each fifth generation Kindle was populated with various types of files a typical user may introduce using one method, the USB interface. The Kindle was forensically imaged with AccessData’s Forensic Toolkit Imager before and after each Kindle was populated. Each file was deleted through …
Making Sense Of Email Addresses On Drives, Neil C. Rowe, Riqui Schwamm, Michael R. Mccarrin, Ralucca Gera
Making Sense Of Email Addresses On Drives, Neil C. Rowe, Riqui Schwamm, Michael R. Mccarrin, Ralucca Gera
Journal of Digital Forensics, Security and Law
Drives found during investigations often have useful information in the form of email addresses which can be acquired by search in the raw drive data independent of the file system. Using this data we can build a picture of the social networks that a drive owner participated in, even perhaps better than investigating their online profiles maintained by social-networking services because drives contain much data that users have not approved for public display. However, many addresses found on drives are not forensically interesting, such as sales and support links. We developed a program to filter these out using a Naïve …
Countering Noise-Based Splicing Detection Using Noise Density Transfer, Thibault Julliand, Vincent Nozick, Hugues Talbot
Countering Noise-Based Splicing Detection Using Noise Density Transfer, Thibault Julliand, Vincent Nozick, Hugues Talbot
Journal of Digital Forensics, Security and Law
Image splicing is a common and widespread type of manipulation, which is defined as pasting a portion of an image onto a second image. Several forensic methods have been developed to detect splicing, using various image properties. Some of these methods exploit the noise statistics of the image to try and find discrepancies. In this paper, we propose a new counter-forensic approach to eliminate the noise differences that can appear in a spliced image. This approach can also be used when creating computer graphics images, in order to endow them with a realistic noise. This is performed by changing the …
Evidential Reasoning For Forensic Readiness, Yi-Ching Liao, Hanno Langweg
Evidential Reasoning For Forensic Readiness, Yi-Ching Liao, Hanno Langweg
Journal of Digital Forensics, Security and Law
To learn from the past, we analyse 1,088 "computer as a target" judgements for evidential reasoning by extracting four case elements: decision, intent, fact, and evidence. Analysing the decision element is essential for studying the scale of sentence severity for cross-jurisdictional comparisons. Examining the intent element can facilitate future risk assessment. Analysing the fact element can enhance an organization's capability of analysing criminal activities for future offender profiling. Examining the evidence used against a defendant from previous judgements can facilitate the preparation of evidence for upcoming legal disclosure. Follow the concepts of argumentation diagrams, we develop an automatic judgement summarizing …
Table Of Contents
Journal of Digital Forensics, Security and Law
No abstract provided.
Table Of Contents
Journal of Digital Forensics, Security and Law
No abstract provided.
Electronic Voting Service Using Block-Chain, Kibin Lee, Joshua I. James, Tekachew G. Ejeta, Hyoung J. Kim
Electronic Voting Service Using Block-Chain, Kibin Lee, Joshua I. James, Tekachew G. Ejeta, Hyoung J. Kim
Journal of Digital Forensics, Security and Law
Cryptocurrency, and its underlying technologies, has been gaining popularity for transaction management beyond financial transactions. Transaction information is maintained in the block-chain, which can be used to audit the integrity of the transaction. The focus on this paper is the potential availability of block-chain technology of other transactional uses. Block-chain is one of the most stable open ledgers that preserves transaction information, and is difficult to forge. Since the information stored in block-chain is not related to personally identify information, it has the characteristics of anonymity. Also, the block-chain allows for transparent transaction verification since all information in the block-chain …
Internet Of Things To Smart Iot Through Semantic, Cognitive, And Perceptual Computing, Amit P. Sheth
Internet Of Things To Smart Iot Through Semantic, Cognitive, And Perceptual Computing, Amit P. Sheth
Publications
Rapid growth in the Internet of Things (IoT) has resulted in a massive growth of data generated by these devices and sensors put on the Internet. Physical-cyber-social (PCS) big data consist of this IoT data, complemented by relevant Web-based and social data of various modalities. Smart data is about exploiting this PCS big data to get deep insights and make it actionable, and making it possible to facilitate building intelligent systems and applications. This article discusses key AI research in semantic computing, cognitive computing, and perceptual computing. Their synergistic use is expected to power future progress in building intelligent systems …
Exploring Deviant Hacker Networks (Dhn) On Social Media Platforms, Samer Al-Kateeb, Kevin Conlan, Nitin Agarwal, Ibrahim Baggili, Frank Breitinger
Exploring Deviant Hacker Networks (Dhn) On Social Media Platforms, Samer Al-Kateeb, Kevin Conlan, Nitin Agarwal, Ibrahim Baggili, Frank Breitinger
Electrical & Computer Engineering and Computer Science Faculty Publications
Online Social Networks (OSNs) have grown exponentially over the past decade. The initial use of social media for benign purposes (e.g., to socialize with friends, browse pictures and photographs, and communicate with family members overseas) has now transitioned to include malicious activities (e.g., cybercrime, cyberterrorism, and cyberwarfare). These nefarious uses of OSNs poses a signi_cant threat to society, and thus requires research attention. In this exploratory work, we study activities of one deviant groups: hacker groups on social media, which we term Deviant Hacker Networks (DHN). We investigated the connection between different DHNs on Twitter: how they are connected, identified …
Towards Syntactic Approximate Matching-A Pre-Processing Experiment, Doowon Jeong, Frank Breitinger, Hari Kang, Sangjin Lee
Towards Syntactic Approximate Matching-A Pre-Processing Experiment, Doowon Jeong, Frank Breitinger, Hari Kang, Sangjin Lee
Electrical & Computer Engineering and Computer Science Faculty Publications
Over the past few years, the popularity of approximate matching algorithms (a.k.a. fuzzy hashing) has increased. Especially within the area of bytewise approximate matching, several algorithms were published, tested, and improved. It has been shown that these algorithms are powerful, however they are sometimes too precise for real world investigations. That is, even very small commonalities (e.g., in the header of a file) can cause a match. While this is a desired property, it may also lead to unwanted results. In this paper, we show that by using simple pre-processing, we significantly can influence the outcome. Although our test set …
Find Me If You Can: Mobile Gps Mapping Applications Forensic Analysis & Snavp The Open Source, Modular, Extensible Parser, Jason Moore, Ibrahim Baggili, Frank Breitinger
Find Me If You Can: Mobile Gps Mapping Applications Forensic Analysis & Snavp The Open Source, Modular, Extensible Parser, Jason Moore, Ibrahim Baggili, Frank Breitinger
Electrical & Computer Engineering and Computer Science Faculty Publications
The use of smartphones as navigation devices has become more prevalent. The ubiquity of hand-held navigation devices such as Garmins or Toms Toms has been falling whereas the ownership of smartphones and their adoption as GPS devices is growing. This work provides a comprehensive study of the most popular smartphone mapping applications, namely Google Maps, Apple Maps, Waze, MapQuest, Bing, and Scout, on both Android and iOS. It details what data was found, where it was found, and how it was acquired for each application. Based on the findings, the work allowed for the construction of a tool capable of …
In-Shoe Plantar Pressure System To Investigate Ground Reaction Force Using Android Platform, Ahmed A. Mostfa
In-Shoe Plantar Pressure System To Investigate Ground Reaction Force Using Android Platform, Ahmed A. Mostfa
Theses and Dissertations
Human footwear is not yet designed to optimally relieve pressure on the heel of the foot. Proper foot pressure assessment requires personal training and measurements by specialized machinery. This research aims to investigate and hypothesize about Preferred Transition Speed (PTS) and to classify the gait phase of explicit variances in walking patterns between different subjects. An in-shoe wearable pressure system using Android application was developed to investigate walking patterns and collect data on Activities of Daily Living (ADL). In-shoe circuitry used Flexi-Force A201 sensors placed at three major areas: heel contact, 1st metatarsal, and 5th metatarsal with a PIC16F688 microcontroller …