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Articles 31 - 60 of 1174
Full-Text Articles in Computer Engineering
Quickbooks Self-Employed Ios Application, Braden Young
Quickbooks Self-Employed Ios Application, Braden Young
Computer Science and Software Engineering
No abstract provided.
Fresh Bytes - Connected Hydroponics For Small-Scale Growing, Jack Bowen
Fresh Bytes - Connected Hydroponics For Small-Scale Growing, Jack Bowen
Liberal Arts and Engineering Studies
Many users are now transitioning to small-scale hydroponics and aquaponics at home. There can be a barrier to entry with these systems as there is a delicate balance of chemicals, pH, etc. that must be maintained. There are sensors for these various components but they are either aimed at commercial production or are un-automated. Fresh Bytes is a microcomputer with sensors to detect all of these unseen components in a hydroponic system. A prototype of this microcomputer is produced along with CAD plans for more professional versions of it. The sensors are verified and future development is contemplated.
Security Issues In Data Warehouse, Saiqa Aleem, Luiz Fernando Capretz, Faheem Ahmed Dr.
Security Issues In Data Warehouse, Saiqa Aleem, Luiz Fernando Capretz, Faheem Ahmed Dr.
Electrical and Computer Engineering Publications
Data Warehouse (DWH) provides storage for huge amounts of historical data from heterogeneous operational sources in the form of multidimensional views, thus supplying sensitive and useful information which help decision-makers to improve the organization’s business processes. A data warehouse environment must ensure that data collected and stored in one big repository are not vulnerable. A review of security approaches specifically for data warehouse environment and issues concerning each type of security approach have been provided in this paper.
Wingtip Dynamics Simulator, Eugene Fox, Nick Rodriguez, Steven Rieber
Wingtip Dynamics Simulator, Eugene Fox, Nick Rodriguez, Steven Rieber
Mechanical Engineering
Raytheon is a defense contracting company with an electronic warfare division that is developing a radio frequency signal triangulation system. Part of the focus in improving this technology is the need for accurate and real time locational knowledge of the signal receivers, which are located at the tips of aircraft wings. Due to turbulence during flight, the fluttering motion of the wings alter the distance and angle relationships of the two receivers and add noise to the received signal data, which negatively affect the triangulation estimates. To mitigate this error caused by the wing flutter, Raytheon is developing a software …
Rapdb: The Rapid Social Application Deployment Service, Lance Tyler, Matthew Morris
Rapdb: The Rapid Social Application Deployment Service, Lance Tyler, Matthew Morris
Computer Science and Software Engineering
No abstract provided.
Homogenous Ensemble Phonotactic Language Recognition Based On Svm Supervector Reconstruction, Wei-Wei Liu, Wei-Qiang Zhang, Michael T. Johnson, Jia Liu
Homogenous Ensemble Phonotactic Language Recognition Based On Svm Supervector Reconstruction, Wei-Wei Liu, Wei-Qiang Zhang, Michael T. Johnson, Jia Liu
Electrical and Computer Engineering Faculty Research and Publications
Currently, acoustic spoken language recognition (SLR) and phonotactic SLR systems are widely used language recognition systems. To achieve better performance, researchers combine multiple subsystems with the results often much better than a single SLR system. Phonotactic SLR subsystems may vary in the acoustic features vectors or include multiple language-specific phone recognizers and different acoustic models. These methods achieve good performance but usually compute at high computational cost. In this paper, a new diversification for phonotactic language recognition systems is proposed using vector space models by support vector machine (SVM) supervector reconstruction (SSR). In this architecture, the subsystems share the same …
Reliability Measurement Of An Object Oriented Design: A Systematic Review, Innovative Research Publications Irp India, Nidhi Gupta, Dr. Rahul Kumar
Reliability Measurement Of An Object Oriented Design: A Systematic Review, Innovative Research Publications Irp India, Nidhi Gupta, Dr. Rahul Kumar
Innovative Research Publications IRP India
Reliability is one of the highly significant quality indicators of object oriented software. Its proper measurement or evaluation, constantly facilitate and improve the software development process. On the other hand, reliability has always been a mysterious theory and its truthful measurement or evaluation is a complex exercise. Researchers and practitioners have always argued that reliability should be considered as a key feature in order to promise the quality software. A perfect measure of software quality fully depends on reliability measurement, and as an outcome estimating reliability is a complex problem attracting significant research consideration. This review paper presents the results …
Research On The Clustering Algorithm Of Component Based On The Grade Strategy, Innovative Research Publications Irp India, G.Vamshi Krishna, Dr.P. Niranjan, Dr. P. Shireesha
Research On The Clustering Algorithm Of Component Based On The Grade Strategy, Innovative Research Publications Irp India, G.Vamshi Krishna, Dr.P. Niranjan, Dr. P. Shireesha
Innovative Research Publications IRP India
The rapid development in the software component technology increases the number of components, reasonable component classification is the foundation to achieve effective retrieval. The former methods like faceted classification and full text retrieval methods and some traditional methods have always some subjective factors to achieve it. The user is not able to satisfy with these methods. So from the point of user requirements, grade strategy is introduced, which gives each facet different weight, and the similarity between the components. A component clustering algorithm based on the grade strategy is proposed. They prove that component clustering algorithm based on the grade …
Image Registration In Medical Image Processing -An Overview, Innovative Research Publications Irp India, Dr. P. Latha,, Baby D. Dayana, N. Meffiya
Image Registration In Medical Image Processing -An Overview, Innovative Research Publications Irp India, Dr. P. Latha,, Baby D. Dayana, N. Meffiya
Innovative Research Publications IRP India
Image registration the process is very difficult problem facing in medical field . The process of image registration is an automatic or manual procedure. It tries to find similar points between two images and align themto minimize the “error”, i.e. distance measure between twoimages.The dataset can be multiple photographs like MRI,spect,CT scan images from different times ,depths or viewpoints.The purpose of this paper is to provide a overall information about the existing registration techniques and a detailed approach about non rigid registration which is in advanced mode .
Text Dependent Speaker Identification Using A Bayesian Network And Mel Frequency Cepstrum Coefficient, Innovative Research Publications Irp India, Mohd. Manjur Alam, Md. Salah Uddin Chowdury, Niaz Uddin Mahmud, Shamsun Nahar Shoma, Md. Abdul Wahab
Text Dependent Speaker Identification Using A Bayesian Network And Mel Frequency Cepstrum Coefficient, Innovative Research Publications Irp India, Mohd. Manjur Alam, Md. Salah Uddin Chowdury, Niaz Uddin Mahmud, Shamsun Nahar Shoma, Md. Abdul Wahab
Innovative Research Publications IRP India
Speaker identification is a biometric technique. The objective of automatic speaker recognition is to extract, characterize and recognize the information about speaker identity. Speaker Recognition technology has recently been used in large number of commercial areas successfully such as in voice based biometrics; voice controlled appliances, security control for confidential information, remote access to computers and many more interesting areas. A speaker identification system has two phases which are the training phase and the testing phase. Feature extraction is the first step for each phase in speaker recognition. Many algorithms are suggested by the researchers for feature extraction. In this …
Granularity Helps Explain Seemingly Irrational Features Of Human Decision Making, Joe Lorkowski, Vladik Kreinovich
Granularity Helps Explain Seemingly Irrational Features Of Human Decision Making, Joe Lorkowski, Vladik Kreinovich
Departmental Technical Reports (CS)
Starting from well-known studies by Kahmenan and Tarsky, researchers have found many examples when our decision making -- and our decision making -- seem to be irrational. In this chapter, we show that this seemingly irrational decision making can be explained if we take into account that human abilities to process information are limited; as a result, instead of the exact values of different quantities, we operate with granules that contain these values. On several examples, we show that optimization under such granularity restriction indeed leads to observed human decision making. Thus, granularity helps explain seemingly irrational human decision making.
When Can We Reduce Multi-Variable Range Estimation Problem To Two Fewer-Variable Problems?, Joe Lorkowski, Olga Kosheleva, Luc Longpre, Vladik Kreinovich
When Can We Reduce Multi-Variable Range Estimation Problem To Two Fewer-Variable Problems?, Joe Lorkowski, Olga Kosheleva, Luc Longpre, Vladik Kreinovich
Departmental Technical Reports (CS)
Sometimes, a function f of n variables can be represented as a composition of two functions of fewer variables. In this case, the problem of computing the range of f on given intervals can be reduced to two range-computation problems with fewer variables. In this paper, we describe a feasible algorithm that checks whether such a reduction is possible -- and, if it is possible, produces the desired reduction.
Interval Computations And Interval-Related Statistical Techniques: Estimating Uncertainty Of The Results Of Data Processing And Indirect Measurements, Vladik Kreinovich
Interval Computations And Interval-Related Statistical Techniques: Estimating Uncertainty Of The Results Of Data Processing And Indirect Measurements, Vladik Kreinovich
Departmental Technical Reports (CS)
In many practical situations, we only know the upper bound Δ on the measurement error: |Δx| ≤ Δ. In other words, we only know that the measurement error is located on the interval [−Δ, Δ]. The traditional approach is to assume that Δx is uniformly distributed on [−Δ, Δ]. In some situations, however, this approach underestimates the error of indirect measurements. It is therefore desirable to directly process this interval uncertainty. Such "interval computations" methods have been developed since the 1950s. In this paper, we provide a brief overview of related algorithms and results.
Every Sue Function Is A Ratio Of Two Multi-Linear Functions, Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich
Every Sue Function Is A Ratio Of Two Multi-Linear Functions, Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich
Departmental Technical Reports (CS)
We prove that the function computed by each single-use expression is a ratio of two multi-linear functions.
50 Years Of Fuzzy: From Discrete To Continuous To -- Where?, Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, Rujira Ouncharoen
50 Years Of Fuzzy: From Discrete To Continuous To -- Where?, Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, Rujira Ouncharoen
Departmental Technical Reports (CS)
While many objects and processes in the real world are discrete, from the computational viewpoint, discrete objects and processes are much more difficult to handle than continuous ones. As a result, a continuous approximation is often a useful way to describe discrete objects and processes. We show that the need for such an approximation explains many features of fuzzy techniques, and we speculate on to which promising future directions of fuzzy research this need can lead us.
How Much For An Interval? A Set? A Twin Set? A P-Box? A Kaucher Interval? Towards An Economics-Motivated Approach To Decision Making Under Uncertainty, Joe Lorkowski, Vladik Kreinovich
How Much For An Interval? A Set? A Twin Set? A P-Box? A Kaucher Interval? Towards An Economics-Motivated Approach To Decision Making Under Uncertainty, Joe Lorkowski, Vladik Kreinovich
Departmental Technical Reports (CS)
A natural idea of decision making under uncertainty is to assign a fair price to different alternatives, and then to use these fair prices to select the best alternative. In this paper, we show how to assign a fair price under different types of uncertainty.
Need For Data Processing Naturally Leads To Fuzzy Logic (And Neural Networks): Fuzzy Beyond Experts And Beyond Probabilities, Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta
Need For Data Processing Naturally Leads To Fuzzy Logic (And Neural Networks): Fuzzy Beyond Experts And Beyond Probabilities, Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta
Departmental Technical Reports (CS)
Fuzzy techniques have been originally designed to describe imprecise ("fuzzy") expert knowledge. Somewhat surprisingly, fuzzy techniques have also been successfully used in situations without expert knowledge, when all we have is data. In this paper, we explain this surprising phenomenon by showing that the need for optimal processing of data (including crisp data) naturally leads to fuzzy and neural data processing techniques.
This result shows the potential of fuzzy data processing. To maximally utilize this potential, we need to provide an operational meaning of the corresponding fuzzy degrees. We show that such a meaning can be extracted from the above …
Design And Implementation Of An Instruction Set Architecture And An Instruction Execution Unit For The Rez9 Coprocessor System, Daniel Spencer Anderson
Design And Implementation Of An Instruction Set Architecture And An Instruction Execution Unit For The Rez9 Coprocessor System, Daniel Spencer Anderson
UNLV Theses, Dissertations, Professional Papers, and Capstones
While the use of RNS has provided groundbreaking theory and progress in this field, the applications still lack viable testing platforms to test and verify the theory. This Thesis outlines the processing of developing an instruction set architecture (ISA) and an instruction execution unit (IEU) to help make the first residue based general processor a viable testing platform to address the mentioned problems.
Consider a 32-bit ripple adder. The delay on this device will be 32N where N is the delay for each adder to complete its operation. The delay of this process is due to the need to propagate …
Simulation, And Overload And Stability Analysis Of Continuous Time Sigma Delta Modulator, Kyung Kang
Simulation, And Overload And Stability Analysis Of Continuous Time Sigma Delta Modulator, Kyung Kang
UNLV Theses, Dissertations, Professional Papers, and Capstones
The ever increasing demand for faster and more powerful digital applications requires high speed, high resolution ADCs. Currently, sigma delta modulators ADCs are extensively used in broadband telecommunication systems because they are an effective solution for high data-rate wireless communication systems that require low power consumption, high speed, high resolution, and large signal bandwidths.
Because mixed-signal integrated circuits such as Continuous Time sigma delta modulators contain both analog and digital circuits, mixed signal circuits are not as simple to model and simulate as all discrete or all analog systems. In this dissertation, the delta transform is used to simulate CT …
Improved Performance Of Analog And Digital Acousto-Optic Modulation With Feedback Under Profiled Beam Propagation For Secure Communication Using Chaos, Fares S. Almehmadi, Monish Ranjan Chatterjee
Improved Performance Of Analog And Digital Acousto-Optic Modulation With Feedback Under Profiled Beam Propagation For Secure Communication Using Chaos, Fares S. Almehmadi, Monish Ranjan Chatterjee
Electrical and Computer Engineering Faculty Publications
Using intensity feedback, the closed-loop behavior of an acousto-optic hybrid device under profiled beam propagation has been recently shown to exhibit wider chaotic bands potentially leading to an increase in both the dynamic range and sensitivity to key parameters that characterize the encryption. In this work, a detailed examination is carried out vis-à-vis the robustness of the encryption/decryption process relative to parameter mismatch for both analog and pulse code modulation signals, and bit error rate (BER) curves are used to examine the impact of additive white noise.
The simulations with profiled input beams are shown to produce a stronger encryption …
Split-Step Approach To Electromagnetic Propagation Through Atmospheric Turbulence Using The Modified Von Karman Spectrum And Planar Apertures, Monish Ranjan Chatterjee, Fathi H.A. Mohamed
Split-Step Approach To Electromagnetic Propagation Through Atmospheric Turbulence Using The Modified Von Karman Spectrum And Planar Apertures, Monish Ranjan Chatterjee, Fathi H.A. Mohamed
Electrical and Computer Engineering Faculty Publications
The impact of atmospheric phase turbulence on Gaussian beam propagation along propagation paths of varying lengths is examined using multiple random phase screens. The work is motivated by research involving generation and encryption of acousto-optic chaos, and the interest in examining propagation of such chaotic waves through atmospheric turbulence. A phase screen technique is used to simulate perturbations to the refractive index of the medium through the propagation path. A power spectral density based on the modified von Karman spectrum model for turbulence is used to describe the random phase behavior of the medium.
In recent work, results for the …
Development Of Workforce Skills: Student Perceptions Of Mentoring In First Robotics, Katie Joan Veal Wallace
Development Of Workforce Skills: Student Perceptions Of Mentoring In First Robotics, Katie Joan Veal Wallace
Dissertations
In today’s global economy, new workforce competencies are needed for success at both individual and societal levels. The new workforce skills extend beyond basic reading, writing, and arithmetic to include higher order processes such as critical thinking and problem solving. Technical job opportunities have grown by approximately 17%, yet the United States continues to decline in science, technology, engineering and mathematics (STEM) disciplines. Further, U.S. students earn average or below average test scores when compared to other developed countries. Researchers cite the need to incorporate the learning of workplace skills into secondary education curriculum, and advocates call for new teaching …
A Comparative Study Of Generalized Arc-Consistency Algorithms, Olufikayo S. Adetunji
A Comparative Study Of Generalized Arc-Consistency Algorithms, Olufikayo S. Adetunji
Department of Computer Science and Engineering: Dissertations, Theses, and Student Research
In this thesis, we study several algorithms for enforcing Generalized Arc-Consistency (GAC), which is the most popular consistency property for solving Constraint Satisfaction Problems (CSPs) with backtrack search. The popularity of such algorithms stems from their relative low cost and effectiveness in improving the performance of search. Virtually all commercial and public- domain constraint solvers include some implementation of a generic GAC algorithm. In recent years, several algorithms for enforcing GAC have been proposed in the literature that relies on increasingly complex data structures and mechanisms to improve performance. In this thesis, we study, assess, and compare a basic algorithm …
Lntegration Of Conventional Lithography And Printing Processes As A Key Enabling Technology For Printed And Flexible Sensing Systems, Binu Baby Narakathu
Lntegration Of Conventional Lithography And Printing Processes As A Key Enabling Technology For Printed And Flexible Sensing Systems, Binu Baby Narakathu
Dissertations
Sensors, which are used ubiquitously in a wide variety of applications, are revolutionizing the already ever-changing world we live in by providing real-time information about our surroundings. This dissertation focuses on the integration of conventional photolithography and printing processes as a key enabling technology for printed and flexible sensing systems.
Initially, an efficient opto-electrochemical sensing system, for the dual detection of heavy metal compounds was successfully developed. A novel microfluidic flow cell, with a reservoir volume of 25 μl, was designed and fabricated using acrylic. An electrochemical sensor with gold (Au) interdigitated electrodes (IDE) on a glass substrate was photolithographically …
Examining Ambiguities In The Automatic Packet Reporting System, Kenneth W. Finnegan
Examining Ambiguities In The Automatic Packet Reporting System, Kenneth W. Finnegan
Master's Theses
The Automatic Packet Reporting System (APRS) is an amateur radio packet network that has evolved over the last several decades in tandem with, and then arguably beyond, the lifetime of other VHF/UHF amateur packet networks, to the point where it is one of very few packet networks left on the amateur VHF/UHF bands. This is proving to be problematic due to the loss of institutional knowledge as older amateur radio operators who designed and built APRS and other AX.25-based packet networks abandon the hobby or pass away. The purpose of this document is to collect and curate a sufficient body …
On Designing Collaborative Robotic Systems With Real-Time Operating Systems And Wireless Networks, Andrew Jacob Wolin
On Designing Collaborative Robotic Systems With Real-Time Operating Systems And Wireless Networks, Andrew Jacob Wolin
Boise State University Theses and Dissertations
Robotic devices currently solve many real-world problems but do so primarily on an individual basis. The ability to deploy large quantities of robots to solve problems has not yet been widely embraced partially due to the complex nature of robotics and levels of research investment.
Existing research in robot collaboration largely exists in the forms of models and simulations. This work seeks to accelerate the next level of research in this area by providing a low cost, collaborative capable robotic system. This platform can be used as a gateway to transport simulations into physical representations. This research not only presents …
Is The Smartphone Smart In Kathmandu?, Seth Bird
Is The Smartphone Smart In Kathmandu?, Seth Bird
Independent Study Project (ISP) Collection
This is the extensive study of the smartphone in the developing country of Nepal, specifically the Kathmandu valley. Throughout my research I conducted various interviews with businesses, Tibetan refugees, and Nepali millennials (18yrs-33yrs) with the goal of identifying how the smartphone is used and understood. I chose the Kathmandu valley as my main area of research because the usage of smartphones in rural Nepal is extremely limited, and the valley represents the economic hub where progressive thinking flourishes. As a main objective I sought to understand how, if at all, the smartphone is used differently between Nepal and America. All …
A Non-Invasive Image Based System For Early Diagnosis Of Prostate Cancer., Ahmad Abdusalam Firjani Firjani Naef
A Non-Invasive Image Based System For Early Diagnosis Of Prostate Cancer., Ahmad Abdusalam Firjani Firjani Naef
Electronic Theses and Dissertations
Prostate cancer is the second most fatal cancer experienced by American males. The average American male has a 16.15% chance of developing prostate cancer, which is 8.38% higher than lung cancer, the second most likely cancer. The current in-vitro techniques that are based on analyzing a patients blood and urine have several limitations concerning their accuracy. In addition, the prostate Specific Antigen (PSA) blood-based test, has a high chance of false positive diagnosis, ranging from 28%-58%. Yet, biopsy remains the gold standard for the assessment of prostate cancer, but only as the last resort because of its invasive nature, high …
Avatar Captcha : Telling Computers And Humans Apart Via Face Classification And Mouse Dynamics., Darryl Felix D’Souza
Avatar Captcha : Telling Computers And Humans Apart Via Face Classification And Mouse Dynamics., Darryl Felix D’Souza
Electronic Theses and Dissertations
Bots are malicious, automated computer programs that execute malicious scripts and predefined functions on an affected computer. They pose cybersecurity threats and are one of the most sophisticated and common types of cybercrime tools today. They spread viruses, generate spam, steal personal sensitive information, rig online polls and commit other types of online crime and fraud. They sneak into unprotected systems through the Internet by seeking vulnerable entry points. They access the system’s resources like a human user does. Now the question arises how do we counter this? How do we prevent bots and on the other hand allow human …
Temporal Contextual Descriptors And Applications To Emotion Analysis., Haythem Balti
Temporal Contextual Descriptors And Applications To Emotion Analysis., Haythem Balti
Electronic Theses and Dissertations
The current trends in technology suggest that the next generation of services and devices allows smarter customization and automatic context recognition. Computers learn the behavior of the users and can offer them customized services depending on the context, location, and preferences. One of the most important challenges in human-machine interaction is the proper understanding of human emotions by machines and automated systems. In the recent years, the progress made in machine learning and pattern recognition led to the development of algorithms that are able to learn the detection and identification of human emotions from experience. These algorithms use different modalities …