Digital Commons Network^™

Reliable Risk Assessment Method For Effective Organization Of Information Security At Enterprise, Fayzullajon Bakhtiyorovich Botirov

Chemical Technology, Control and Management

The problems of the new industry 4.0 automation paradigm are considered and the latest technologies in the field of information and communication technologies that stimulate it are analyzed, including cyber-physical systems, cloud computing, the Internet of things and big data. Some methods of multidimensional, multi-faceted industrial representation and analysis of big data are proposed. The basics of big data processing using granular computing methods have been developed. Marked the emergence of the problem of creation of special cognitive tool for constructing artificial agents, understanding integrated intelligence enterprises. In the process of information protection at the enterprise, it is proposed to …

Thermal Control Development Of A Proton Exchange Membrane Fuel Cell System, Ola Mohammed Taha Al-Shalash

Mechanical Engineering Theses

A fuel cell is an electrochemical energy conversion device that uses fuel to generate electricity. It basically converts the chemical energy of reactants directly into electricity without combustion. In a Proton Exchange Membrane Fuel Cell (PEMFC), the reactants, hydrogen and oxygen, are fed into the two electrodes, anode and cathode, respectively. A reaction takes place at each electrode and produces electricity, as well as water, and heat as the by-products. In order to maximize performance of a fuel cell, many factors can be considered for tuning and control. Temperature management is one of these factors.

A thermal-fluid model of a …

Evaluation Of Standard And Semantically-Augmented Distance Metrics For Neurology Patients, Daniel B. Hier, Jonathan Kopel, Steven U. Brint, Donald C. Wunsch, Gayla R. Olbricht, Sima Azizi, Blaine Allen

Electrical and Computer Engineering Faculty Research & Creative Works

Background: Patient distances can be calculated based on signs and symptoms derived from an ontological hierarchy. There is controversy as to whether patient distance metrics that consider the semantic similarity between concepts can outperform standard patient distance metrics that are agnostic to concept similarity. The choice of distance metric can dominate the performance of classification or clustering algorithms. Our objective was to determine if semantically augmented distance metrics would outperform standard metrics on machine learning tasks.

Methods: We converted the neurological findings from 382 published neurology cases into sets of concepts with corresponding machine-readable codes. We calculated patient distances by …

Circus In Motion: A Multimodal Exergame Supporting Vestibular Therapy For Children With Autism, Oscar Peña, Franceli L. Cibrian, Monica Tentori

Engineering Faculty Articles and Research

Exergames are serious games that involve physical exertion and are thought of as a form of exercise by using novel input models. Exergames are promising in improving the vestibular differences of children with autism but often lack of adaptation mechanisms that adjust the difficulty level of the exergame. In this paper, we present the design and development of Circus in Motion, a multimodal exergame supporting children with autism with the practice of non-locomotor movements. We describe how the data from a 3D depth camera enables the tracking of non-locomotor movements allowing children to naturally interact with the exergame . A …

Credibility Assessment Of Fault Injection Simulation Based On Feature Selective Validation, Li Sheng, Yuxiao Li

Journal of System Simulation

Abstract: Aiming at the complexity and large number feature details of the data of fault injection simulation which lead to the difficulty for the single indicators or expert visual assessment methods to obtain the accurate assessment results, and the evaluation expert giving the interval complementary judgment matrix on the basis of AHP method which lead to the difficulty for the weights of credibility indicators to be determined, a multi-indicator comprehensive credibility assessment model based on Feature Selection Verification (FSV) is proposed. It can calculate the quantitative credibility values and the qualitative credibility values of the credibility indicators. In order …

Ronald E. Mcnair Scholars Program Profiles And Abstracts 2020, Mcnair Scholars Program

McNair Symposium

This is the complete event program and provides presentation abstracts and biographies of McNair scholars and their mentors.

Group Decision Making Model For Weapon Selection Using Extended Vikor Method Under Intuitionistic Fuzzy Environment, Shanliang Yang, Wang Peng, Li Ge, Kedi Huang

Journal of System Simulation

Abstract: With respect to weapon system selection problem, in which attribute weights are completely unknown and attribute values are expressed with linguistic information, a multi-attribute group decision-making method based on extended VIKOR was proposed. The intuitionistic fuzzy weighted averaging (IFWA) operator was introduced to aggregate all the individual decision-making information in order to obtain the intuitionistic fuzzy decision matrix. The intuitionistic fuzzy entropy method was utilized to obtain the objective weights of evaluation criteria. The alternative weapon systems were ranked according to the basic concept of extended VIKOR method. A case study of air-to-ground guided missile selection problem for UCAV …

Intelligent Algorithm For Trapezoidal Interval Valued Neutrosophic Network Analysis, Florentin Smarandache, Said Broumi, Deivanayagampillai Nagarajan, Malayalan Lathamaheswari, Mohamed Talea, Assia Bakali

Branch Mathematics and Statistics Faculty and Staff Publications

The shortest path problem has been one of the most fundamental practical problems in network analysis. One of the good algorithms is Bellman-Ford, which has been applied in network, for the last some years. Due to complexity in the decision-making process, the decision makers face complications to express their view and judgment with an exact number for single valued membership degrees under neutrosophic environment. Though the interval number is a special situation of the neutrosophic, it did not solve the shortest path problems in an absolute manner. Hence, in this work, the authors have introduced the score function and accuracy …

Toward Developing A Valid And Reliable Assessment Of Learners’ Nature Of Engineering Views, Erdogan Kaya

UNLV Theses, Dissertations, Professional Papers, and Capstones

Nature of Engineering (NOE) refers to the epistemological beliefs pertaining to engineering (Antink-Meyer & Brown, 2019; Deniz et al., 2019; Hartman & Bell, 2018; Kaya et al., 2017; Pleasants & Olson, 2019). Given that a person’s engineering values and beliefs can affect how that individual perceives not only certain tasks, but also his/her ability to accomplish them, it is important to support pre-college teachers and students in improving their NOE understanding. This continues to be one of the main goals of pre-college Science, Technology, Engineering, and Math (STEM) education, and has become particularly relevant since the release of the Next …

Electronic Spam Filtering Based On Neural Networks, Tulkun Fayzievich Bekmuratov, Fayzullajon Bakhtiyorovich Botirov, Elshod Dilshod Ugli Haydarov

Chemical Technology, Control and Management

This article analyzes the problem of filtering spam messages and addressing spam messages, Bayesian theorems based on artificial intelligence, LVQ algorithms (LVQ learning vector quantization) and a filtering scheme for systems based on neural networks. The direct construction of an effective neural network model of spam filtering using database recognition technology is considered. The parameters of access to the neural network how to include predefined statistical and non-statistical attributes of messages are given. The structure of neural network technology for classifying emails is also considered. The procedure for analyzing incoming data using the tool included in the analytical platform Deductor …

The Aesthetics Of Multicoding Esolangs, Daniel J. Temkin

Electronic Literature Organization Conference 2020

In the influential 2005 paper "A Box, Darkly," Michael Mateas and Nick Montfort introduced the idea of multicoding: when one text holds multiple meanings, depending on context. Examples include polyglots, programs that can run successfully in two different languages, as well as sentences that can be read in French or English. Esoteric programming has a history of explicit multicoding languages. The best known are Piet, whose programs are images, and commands are the change in color from one pixel to the next; Shakespeare, with code written as plays, and Chef, whose programs are recipes that work in the kitchen. While …

Greentpu: Predictive Design Paradigm For Improving Timing Error Resilience Of A Near-Threshold Tensor Processing Unit, Pramesh Pandey, Prabal Basu, Koushik Chakraborty, Sanghamitra Roy

Electrical and Computer Engineering Faculty Publications

The emergence of hardware accelerators has brought about several orders of magnitude improvement in the speed of the deep neural-network (DNN) inference. Among such DNN accelerators, the Google tensor processing unit (TPU) has transpired to be the best-in-class, offering more than 15\times speedup over the contemporary GPUs. However, the rapid growth in several DNN workloads conspires to escalate the energy consumptions of the TPU-based data-centers. In order to restrict the energy consumption of TPUs, we propose GreenTPU - a low-power near-threshold (NTC) TPU design paradigm. To ensure a high inference accuracy at a low-voltage operation, GreenTPU identifies the patterns in …

Audio-Visual Caption Evaluation Metric For People Who Are Deaf And Hard Of Hearing, Akhter Al Amin

Articles

While the availability of captioned television programming has increased, the quality of this captioning is not always acceptable to Deaf and Hard of Hearing (DHH) viewers, especially for live or unscripted content, broadcast from local television stations, especially in smaller markets. There is a need for formal metrics to evaluate captioning quality, to enable audits or quality assurance. Although some current caption metrics focus on comparing the textual accuracy (comparing the caption text and accurate transcription of what was spoken), there are other properties of captions that may affect quality or usability judgments. We propose to conduct experiments with DHH …

An Algorithm For The Evolutionary-Fuzzy Generation Of On-Line Signature Hybrid Descriptors, Marcin Zalasinski, Krzysztof Cpalka, Lukasz Laskowski, Donald C. Wunsch, Krzystof Przybyszewski

Electrical and Computer Engineering Faculty Research & Creative Works

In biometrics, methods which are able to precisely adapt to the biometric features of users are much sought after. They use various methods of artificial intelligence, in particular methods from the group of soft computing. In this paper, we focus on on-line signature verification. Such signatures are complex objects described not only by the shape but also by the dynamics of the signing process. In standard devices used for signature acquisition (with an LCD touch screen) this dynamics may include pen velocity, but sometimes other types of signals are also available, e.g. pen pressure on the screen surface (e.g. in …

Dynamic Trajectory Generation And A Robust Controller To Intercept A Moving Ball In A Game Setting, Ravi Prakash, Laxmidhar Behera, Santhakumar Mohan, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

Complex and interactive robot manipulation skills, such as playing a game of table tennis against a human opponent, are a novel problem with multifaceted challenges. Accurate dynamic trajectory generation in order to respond to the tennis ball from the opponent and a novel control scheme for robust and high-performance tracking of the ball in such dynamic situations is a prerequisite to winning the game. In this paper, the dynamic movement primitives (DMPs) are employed for the stable generation of dynamic trajectories in the presence of environmental uncertainties such as ball position and velocity, opponent position and velocity and so on. …

Fuzzy Logic Velocity Optimization Of Autonomous Vehicles Based On Road Bump Geometry, Yassine Zein, Mohamad Darwiche

BAU Journal - Science and Technology

In today’s world of fast developing technologies, semi-autonomous vehicles are becoming a common sight and increasing in numbers. Some feature autopilot systems that drive the vehicle without any intervention from the driver in certain situations or warn the driver of dangers ahead. A fully autonomous vehicle is yet to come due to old fashioned road infrastructures that would convey challenging scenarios for it. From speed bumps and traffic lights to road lanes and warning signs, current autopilot systems will have to cope with all. A system that ensures safe crossing of speed bumps when in autopilot mode is discussed in …

Similarity Evaluation Based On Contextual Modelling, Mohamed H. Haggag, Marwa M. A. Elfattah, Ahmed Mohammed Ahmed

Future Computing and Informatics Journal

Measuring Text similarity problem still one of opened fields for research area in natural language processing and text related research such as text mining, Web page retrieval, information retrieval and textual entailment. Several measures have been developed for measuring similarity between two texts: such as Wu and Palmer, Leacock and Chodorow measure and others . But these measures do not take into consideration the contextual information of the text .This paper introduces new model for measuring semantic similarity between two text segments. This model is based on building new contextual structure for extracting semantic similarity. This approach can contribute in …

Generic Approach For Customer Management System, Esraa A. Afify, Mona A. Kadry

Future Computing and Informatics Journal

Customer Complaints are considered as valuable and significant information that can be utilized to attain customer satisfaction. Accordingly, a complaint handling system can address customer dissatisfaction and prevent similar problems from reoccurring. The aim of this paper is to investigate the level of relationship between the complaints and complaint behaviours of the customers who benefit from the services offered. In this paper, a generic approach for the Customer Complaint Management System is pro posed to have the ability to minimize customers’ dissatisfaction and on the other hand to motivate customers to take part of controlling the quality of the services …

Research Properties Of Solving Problems Of Parametric Optimization, Dilnoz Tulkunovna Muhamediyeva

Chemical Technology, Control and Management

A model of parametric optimization with fuzzy initial information is constructed. The conditions and areas of application of the main methods of the theory of fuzzy sets in studies of parametric optimization are determined. A connection is established between the stability of parametric optimization problems and fuzzy optimization problems. An algorithm for solving problems by the method of parametric programming is developed for fuzzy given initial information. The admissible region of the parametric programming problem and the value of its objective function at each point of this region depend on the parameter t. A description of the method for solving …

A Survey On Opinion Summarization Technique S For Social Media, Mohammed Elsaid Moussa, Ensaf Hussein Mohamed, Mohamed H. Haggag

Future Computing and Informatics Journal

The volume of data on the social media is huge and even keeps increasing. The need for efficient processing of this extensive information resulted in increasing research interest in knowledge engineering tasks such as Opinion Summarization. This survey shows the current opinion summarization challenges for social media, then the necessary pre-summarization steps like preprocessing, features extraction, noise elimination, and handling of synonym features. Next, it covers the various approaches used in opinion summarization like Visualization, Abstractive, Aspect based, Query-focused, Real Time, Update Summarization, and highlight other Opinion Summarization approaches such as Contrastive, Concept-based, Community Detection, Domain Specific, Bilingual, Social Bookmarking, …

Feature Level Review Table Generation For E-Commerce Websites To Produce Qualitative Rating Of The Products, Kumar Raja, S Pushpa

Future Computing and Informatics Journal

It is widely acknowledged today that E-Commerce business is growing rapidly. This is happened only because of people are completely depending on the ratings and reviews given by the customers who are already purchased and using the products. Online surveys, customer reviews on shopping sites are the key sources to understand customer requirements and feedback to help upgrade the product quality and achieve greater outcomes. Now the challenge is that whether those reviews came from product level or feature level will be the million dollar question. To overcome this problem we are proposing a new algorithm to give feature level …

Learning Acoustic Word Embeddings With Dynamic Time Warping Triplet Networks, Denis Shitov, Elena Pirogova, Tadeusz A. Wysocki, Margaret Lech

Department of Electrical and Computer Engineering: Faculty Publications

In the last years, acoustic word embeddings (AWEs) have gained significant interest in the research community. It applies specifically to the application of acoustic embeddings in the Query-by Example Spoken Term Detection (QbE-STD) search and related word discrimination tasks. It has been shown that AWEs learned for the word or phone classification in one or several languages can outperform approaches that use dynamic time warping (DTW). In this paper, a new method of learning AWEs in the DTW framework is proposed. It employs a multitask triplet neural network to generate the AWEs. The triplet network learns acoustic representations of words …

Name-Embedded Couplet Creation Based On Mobile Platform, Weihua Shen, Shicheng Zhang, Shunting Wang, Zhigeng Pan

Journal of System Simulation

Abstract: Couplet culture is the crystallization of Chinese traditional culture, and also is the gem of Chinese language. Given the broad mobile intelligent terminal user groups, in order to inherit and carry forward the Chinese traditional culture, Android and iOS system were taken as the design platform, combining the couplet culture and modern science and technology in an organic whole based on the study of name-embedded couplet generation algorithm. The users were allowed to get personalized couplet belong to themselves conveniently and quickly by mobile platform. The name-embedded couplet creation software was expounded in the following areas: design concept, …

Platica: Personalized Language Acquisition Training & Instruction Chatbot Assistant, Nam Tran, Philip Cori, Andres Morales, Evan Johnson

Computer Science and Engineering Senior Theses

English is immensely important and useful in our society, however there are many people across the world who are learning English as a second language and have limited options to practice. Casual English conversations with native speakers is one of the most proven and immersive ways to practice a language. However, not everyone has those opportunities or the resources to attend ESL classes. We aim to solve this issue with our project PLATICA, a robust, low-cost mobile application that anyone can use to build experience conversing in English. PLATICA takes advantage of state-of-the-art deep learning and natural language processing techniques …

Skylight Opening Degree Prediction Method Based On Parallel Clustering, Deng Li, Yu Yue, Honglin Pang, Minrui Fei

Journal of System Simulation

Abstract: To process the massive distributed data and control the agricultural facilities intelligently, a parallel Dirichlet Process Mixture Model (DPMM) clustering method was proposed based on Spark. With this method, the prediction model of greenhouse skylight opening degree was obtained by training the agricultural environmental and facilities data. The model was used to predict the greenhouse skylight opening degree. Through several comparison experiments, both the feasibility and the efficiency of the proposed parallel clustering were verified, the prediction accuracy was calculated. The experimental results show that the proposed approach has higher efficiency and accuracy.

Radar Emitter Signal Identification Based On Slide+Svm, Yingkun Huang, Weidong Jin

Journal of System Simulation

Abstract: For the deficiency of traditional techniques of emitter signal feature extraction which heavily rely on experience, a model of radar emitting signal identification based on feature self-learning was proposed. This model consists of following 2 parts. Firstly, transform radar signal into frequency domain, then reduce signal dimension by using improved Piecewise Aggregate Approximation (PAA) method. Secondly, create the model of multi-layer Liner Denoiser (LIDE) to feature learning by using unsupervised training method. The validity of model was verified by simulating 5 different kinds of emitting signal with the outcome that excellent identification accuracy could be achieved at …

Research Of Chinese Diphthongs Pronunciation Based On Diva Model, Shaobai Zhang, Yanli Chen, Liwen He

Journal of System Simulation

Abstract: DIVA (Directions Into Velocities of Articulators) is a kind of adaptive neural network model which is used to simulate and describe some associative functions in brain regions involved speech production and understanding. DIVA takes 29 essential English phonemes as its language background. Since the number of Chinese pronunciation phonemes is much larger than English and the pronunciation brain mechanisms of both also make a big difference, the adaptability of DIVA model for Chinese background has to be studied specially, in order that the model can “read out” the thinking processes in Chinese brain. Based on DIVA, the Chinese pronunciation …

Surface Modifications Of Reverse Osmosis Membranes For Removal Of Bromide And Reduction Of Fouling, Joseph Seo

Master's Theses

Reverse osmosis (RO) is widely used for water reuse and desalination. Although RO membranes are known for their high salt rejection and practical permeate flux, their performance can be impaired by fouling, and their removal of some disinfection byproducts and their precursors (e.g., bromide, N-Nitrosodimethylamine [NDMA]) does not meet drinking water standards. RO membrane modifications have been widely studied to overcome these limitations. In this research, RO membranes were grafted with cationic polymers to induce a positive charge on the RO membrane surface. This modification aimed at enhancing the rejection of negatively charged bromide ions by removing them from solution …

Reading Robot, Gillian Watts, Andrew Myers, Sabrinna Tan, Taylor Klein, Omeed Djassemi

General Engineering

Presently, there is an insufficient availability of human experts to assist students in reading competency and comprehension. Our team’s goal was to create an improved socially assistive robot for use by therapists, teachers, and parents to help children and adults develop reading skills while they do not have access to specialists. HAPI is a socially assistive robot that we created with the goal of helping students practice their reading comprehension skills. HAPI enables a student to improve their reading skills without an educator present, while enabling educators to review the student's performance remotely. Design constraints included: physical size, weight, duration …

Investigation Of New Forward Osmosis Draw Agents And Prioritization Of Recent Developments Of Draw Agents Using Multi-Criteria Decision Analysis, Jodie Wei Yu

Master's Theses

Forward osmosis (FO) is an emerging technology for water treatment due to their ability to draw freshwater using an osmotic pressure gradient across a semi-permeable membrane. However, the lack of draw agents that could both produce reasonable flux and be separated from the draw solution at a low cost stand in the way of widespread implementation. This study had two objectives: evaluate the performance of three materials — peptone, carboxymethyl cellulose (CMC), and magnetite nanoparticles (Fe₃O₄ NPs) — as potential draw agents, and to use multi-criteria decision matrices to systematically prioritize known draw agents from literature for …