Digital Commons Network^™

An Application Of Fuzzy Logic In Urban Traffic Incident Detection, Feda Wasfi Fayez Mustafa

Theses

Traffic congestion in urban areas is an increasing problem around the world. Traffic incidents (such as accidents) are considered as the major source of traffic congestion. Traffic incidents have negative impacts on traffic flow, air pollution and fuel consumption. As a result, increasing interest in finding new techniques to deal with this issue has been shown. Traffic incident-management systems can decrease the effect of such events and keep roads capacity as close as possible to normal levels. Incident detection system is an important part of any incident management system. This thesis proposes a new approach to incident detection in urban …

Mental Spaces: Processes For Establishing And Linking Spaces, Brian Nolan

The ITB Journal

This paper reviews the theory of mental spaces as expounded by Fauconnier (1994). In this work he posits a theory in which reference has a structural dimension. Within the theory, this structure is represented using spaces, connectors across the spaces and some general principles that are found to apply. The complexity lies in the interaction between the principles and in the contextual structures that feed into the principles for interpretation. Brugman, in her 1996 paper, makes use of insights from mental spaces theory to conduct an analysis of HAVE-constructions. She notes that Fauconnier has “elaborated a theory of partial possible …

Fuzzy Logic And Neural Networks - A Glimpse Of The Future, Raymond Manley

The ITB Journal

In 1965 Lofti Zadeh published his paper on fuzzy set theory , putting it forward as a way of more closely realising the human thought process. Many systems developed to aid human activities have been based on definitive , yes/no, type decision making processes. An example is the way all computers are based on the binary logic system where only two possible and separate logic levels are allowed, a logic 1 or logic 0. However, we know from everyday experience that humans think in terms of vague linguistic categories, for example, the weather is fairly good today. "Fairly good" represents …

Vireo-Tno @ Trecvid 2015: Multimedia Event Detection, Hao Zhang, Yi-Jie Lu, Maaike De Boer, Frank Ter Haar, Zhaofan Qiu, Klamer Schutte, Wessel Kraaij, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

This paper presents an overview and comparative analysis of our systems designed for the TRECVID 2015 [1] multimedia event detection (MED) task. We submitted 17 runs, of which 5 each for the zeroexample, 10-example and 100-example subtasks for the Pre-Specified (PS) event detection and 2 runs for the 10-example subtask for the Ad-Hoc (AH) event detection. We did not participate in the Interactive Run. This year we focus on three different parts of the MED task: 1) extending the size of our concept bank and combining it with improved dense trajectories; 2) exploring strategies for semantic query generation (SQG); and …

Deep Multimodal Learning For Affective Analysis And Retrieval, Lei Pang, Shiai Zhu, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Social media has been a convenient platform for voicing opinions through posting messages, ranging from tweeting a short text to uploading a media file, or any combination of messages. Understanding the perceived emotions inherently underlying these user-generated contents (UGC) could bring light to emerging applications such as advertising and media analytics. Existing research efforts on affective computation are mostly dedicated to single media, either text captions or visual content. Few attempts for combined analysis of multiple media are made, despite that emotion can be viewed as an expression of multimodal experience. In this paper, we explore the learning of highly …

Analysis Of Grounding Accidents Caused By Human Error, Özkan Uğurlu, Umut Yıldırım, Ersan Başar

Journal of Marine Science and Technology–Taiwan

Despite modern bridge equipment, new technologies, and improved safety measures, maritime accidents still occur, and an analysis of their causes is essential in preventing future accidents. Ship groundings are one of the more frequent types of accidents encountered, and this study examines the maritime accident reports issued for grounded ships between 1993 and 2011. These were sourced using the International Maritime Organization's Global Integrated Shipping Information System and the reports published by the countries and relevant institutions that investigated the accidents. The grounding accidents are analysed using the Analytic Hierarchy Process, and the objective of this study is to act …

A Quantitative And Qualitative Multi-Criteria Evaluating Approach To Identify Priority For Location Developing Multimodal Logistic Modes, Kuo-Liang Lee

Journal of Marine Science and Technology–Taiwan

The main purpose of this paper is to empirically study the selection for developing multimodal logistic mode (M-LM) locations in Taiwan using the quantitative and qualitative multicriteria decision-making approach. Multinational corporations in the logistics arena were surveyed to collect factors and the priorities for location development for each type of M-LM using the fuzzy multiple criteria Q-analysis (MCQA) approach. It is suggested that each location has different competitive elements that support different types of M-LM. The findings show proposed locations for developing M-LM in Taiwan.

Santa Clara Magazine, Volume 57 Number 1, Fall 2015, Santa Clara University

Santa Clara Magazine

24 - ART HAPPENING HERE Inside the Edward M. Dowd Art & Art History Building. Illustration by Harry Campbell. Words by Steven Boyd Saum.

28 - CALL HER A WORLD CHAMPION And call them America’s Team. Julie Johnston ’14 and the Women’s World Cup. By Ann Killion.

34 - A WILD GENEROSITY The energy and genius of Steve Nash ’96 on the court. By Brian Doyle.

37 - BELIEVE IN US An oral history of a 1993 NCAA playoff game that became an upset for the ages. By Jeff Gire and Harold Gutmann.

40 - CHANGE THE GAME Pope Francis …

A Computational Translation Of The Phaistos Disk, Peter Revesz

School of Computing: Conference and Workshop Papers

For over a century the text of the Phaistos Disk remained an enigma without a convincing translation. This paper presents a novel semi-automatic translation method that uses for the first time a recently discovered connection between the Phaistos Disk symbols and other ancient scripts, including the Old Hungarian alphabet. The connection between the Phaistos Disk script and the Old Hungarian alphabet suggested the possibility that the Phaistos Disk language may be related to Proto-Finno-Ugric, Proto-Ugric, or Proto-Hungarian. Using words and suffixes from those languages, it is possible to translate the Phaistos Disk text as an ancient sun hymn, possibly connected …

A Computational Study Of The Evolution Of Cretan And Related Scripts, Peter Revesz

School of Computing: Conference and Workshop Papers

Crete was the birthplace of several ancient writings, including the Cretan Hieroglyphs, the Linear A and the Linear B scripts. Out of these three only Linear B is deciphered. The sound values of the Cretan Hieroglyph and the Linear A symbols are unknown and attempts to reconstruct them based on Linear B have not been fruitful. In this paper, we compare the ancient Cretan scripts with four other Mediterranean and Black Sea scripts, namely Phoenician, South Arabic, Greek and Old Hungarian. We provide a computational study of the evolution of the three Cretan and four other scripts. This study encompasses …

Research: South Dakota State University, Fall 2015, Christie Delfanian, Emily Weber

State of Discovery South Dakota State University's Research Magazine

CONTENTS:

Pine Ridge Elders to educate peers about wills, advanced care planning [Page] 2
Diversity: Teaching diverse learners requires responsiveness to students' needs [Page] 3
Renaissance writers address social values still relevant today [Page] 5
Forest fire expert helps Indonesians assess carbon emissions [Page] 7
Diagnostic tests key to controlling swine virus [Page] 9
Experience, networking fuel wastewater filtration research [Page] 9
Breast-feeding friendly climate benefits businesses, communities [Page] 10
Dairy scientist harness power of milk protein [Page] 11
Pharmacists' study helps prevent antibiotic-induced kidney failure [Page] 11
Plants exchange carbohydrates for nitrogen, phosphorus from mycorrhizal fungi [Page] 12

Real-Time Topic And Sentiment Analysis In Human-Robot Conversation, Elise Russell

Master's Theses (2009 -)

Socially interactive robots, especially those designed for entertainment and companionship, must be able to hold conversations with users that feel natural and engaging for humans. Two important components of such conversations include adherence to the topic of conversation and inclusion of affective expressions. Most previous approaches have concentrated on topic detection or sentiment analysis alone, and approaches that attempt to address both are limited by domain and by type of reply. This thesis presents a new approach, implemented on a humanoid robot interface, that detects the topic and sentiment of a user’s utterances from text-transcribed speech. It also generates domain-independent, …

A Novel And Domain-Specific Document Clustering And Topic Aggregation Toolset For A News Organisation, Claire Mcmahon

Dissertations

Large collections of documents are becoming increasingly common in the news gathering industry. A review of the literature shows there is a growing interest in datadriven journalism and specifically that the journalism profession needs better tools to understand and develop actionable knowledge from large document sets. On a daily basis, journalists are tasked with searching a diverse range of document sets including news gathering services, emails, freedom of information requests, court records, government reports, press releases and many other types of generally unstructured documents. Document clustering techniques can help address problems of understanding the ever expanding quantities of documents available …

Network Analysis With Stochastic Grammars, Alan C. Lin

Theses and Dissertations

Digital forensics requires significant manual effort to identify items of evidentiary interest from the ever-increasing volume of data in modern computing systems. One of the tasks digital forensic examiners conduct is mentally extracting and constructing insights from unstructured sequences of events. This research assists examiners with the association and individualization analysis processes that make up this task with the development of a Stochastic Context -Free Grammars (SCFG) knowledge representation for digital forensics analysis of computer network traffic. SCFG is leveraged to provide context to the low-level data collected as evidence and to build behavior profiles. Upon discovering patterns, the analyst …

Beer And Brewing In German Culture: Bridging The Gaps Within Steam, John D. Sundquist

The Transdisciplinary STEAM+ Journal

A university-level course on science, history, and culture of beer and brewing offers students from a wide range of disciplines a unique opportunity to learn from each other. They gain an appreciation for STEAM and the interaction of a number of disciplines while examining a subject of growing interest. This paper provides a brief description of such a course and includes specific examples of ways in which students explore science, engineering, humanities and the arts, as these areas of research come together in the study of beer and brewing.

A Hybrid Approach To General Information Extraction, Marie Belen Grap

Master's Theses

Information Extraction (IE) is the process of analyzing documents and identifying desired pieces of information within them. Many IE systems have been developed over the last couple of decades, but there is still room for improvement as IE remains an open problem for researchers. This work discusses the development of a hybrid IE system that attempts to combine the strengths of rule-based and statistical IE systems while avoiding their unique pitfalls in order to achieve high performance for any type of information on any type of document. Test results show that this system operates competitively in cases where target information …

Developing Java Programs On Android Mobile Phones Using Speech Recognition, Santhrushna Gande

Electronic Theses, Projects, and Dissertations

Nowadays Android operating system based mobile phones and tablets are widely used and had millions of users around the world. The popularity of this operating system is due to its multi-tasking, ease of access and diverse device options. “Java Programming Speech Recognition Application” is an Android application used for handicapped individuals who are not able or have difficultation to type on a keyboard. This application allows the user to write a compute program (in Java Language) by dictating the words and without using a keyboard. The user needs to speak out the commands and symbols required for his/her program. The …

Online Modeling And Tuning Of Parallel Stream Processing Systems, Jonathan Curtis Beard

McKelvey School of Engineering Graduate Student Theses & Dissertations

Writing performant computer programs is hard. Code for high performance applications is profiled, tweaked, and re-factored for months specifically for the hardware for which it is to run. Consumer application code doesn't get the benefit of endless massaging that benefits high performance code, even though heterogeneous processor environments are beginning to resemble those in more performance oriented arenas. This thesis offers a path to performant, parallel code (through stream processing) which is tuned online and automatically adapts to the environment it is given. This approach has the potential to reduce the tuning costs associated with high performance code and brings …

Automatic User Profile Construction For A Personalized News Recommender System Using Twitter, Shiva Theja Reddy Gopidi

Graduate Theses and Dissertations

Modern society has now grown accustomed to reading online or digital news. However, the huge corpus of information available online poses a challenge to users when trying to find relevant articles. A hybrid system “Personalized News Recommender Using Twitter’ has been developed to recommend articles to a user based on the popularity of the articles and also the profile of the user. The hybrid system is a fusion of a collaborative recommender system developed using tweets from the “Twitter” public timeline and a content recommender system based the user’s past interests summarized in their conceptual user profile. In previous work, …

Room Acoustic Effects On Speech Comprehension Of English-As-Second-Language Talkers And Listeners Versus Native-English-Speaking Talkers And Listeners, Lily M. Wang

Durham School of Architectural Engineering and Construction: Faculty Publications

Approximately 21% of the children in the United States school system speak a language other than English at home, but are being taught in English at school. English is additionally being used more and more often as a common language in international settings, even though participants at these international events again are not native English speakers. How do adverse room acoustic environments, including higher background noise levels and longer reverberation times, impact English-as-a-Second-Language (ESL) talkers and listeners versus native English-speaking talkers and listeners? This presentation focuses on two recent studies at the University of Nebraska that investigate how assorted room …

Terminological Mediation In Information Technology And Related Fields, Jessica Smith Richards

Theses and Dissertations

Terminological dissonance is created by the inherent ambiguity of natural language and compounded by ontological specialization efforts within fields. Terminological dissonance creates high-risk miscommunications in two key areas: within Information Technology as a singular domain, and also between IT and other fields in interdisciplinary projects. A comprehensive literature review revealed a lack of previous effort to acknowledge or solve problems of terminological dissonance within Information Technology. This research provides a comprehensive overview and definition of the terminology mediation space as it relates to Information Technology and adjacent fields. An analysis and verification of the contents and implementation of the terminology …

Characterization And Decoding Of Speech Representations From The Electrocorticogram, Shreya Chakrabarti

Electrical & Computer Engineering Theses & Dissertations

Millions of people worldwide suffer from various neuromuscular disorders such as amyotrophic lateral sclerosis (ALS), brainstem stroke, muscular dystrophy, cerebral palsy, and others, which adversely affect the neural control of muscles or the muscles themselves. The patients who are the most severely affected lose all voluntary muscle control and are completely locked-in," i.e., they are unable to communicate with the outside world in any manner. In the direction of developing neuro-rehabilitation techniques for these patients, several studies have used brain signals related to mental imagery and attention in order to control an external device, a technology known as a brain-computer …

Image Processing For The Extraction Of Nutritional Information From Food Labels, Nate Matsunaga, Rick Sullivan

Computer Science and Engineering Senior Theses

Current techniques for tracking nutritional data require undesirable amounts of either time or man-power. People must choose between tediously recording and updating dietary information or depending on unreliable crowd-sourced or costly maintained databases. Our project looks to overcome these pitfalls by providing a programming interface for image analysis that will read and report the information present on a nutrition label directly. Our solution involves a C++ library that combines image pre-processing, optical character recognition, and post-processing techniques to pull the relevant information from an image of a nutrition label. We apply an understanding of a nutrition label's content and data …

Gpu-Accelerated Lip-Tracking Library, Alex Deboui, Jesse Harder

Computer Science and Engineering Senior Theses

A major part of having correct pronunciation when learning a new language is moving your lips in the correct way. This is a difficult thing to learn and to teach. One solution to this is software which tracks a student's lip movements and provides feedback. This paper describes how we have created a C++ library to accurately track lips in provided images. Further, this library attempts to use a CUDA-enabled GPU implementation to improve the algorithm's performance. It will fall back on a CPU implementation if such a GPU is not found. As a result, the lip tracking library runs …

Design And Analysis Of Speed Control Using Hybrid Pid-Fuzzy Controller For Induction Motors, Ahmed Fattah

Masters Theses

This thesis presents a hybrid PID-Fuzzy control system for the speed control of a three-phase squirrel cage induction motor. The proposed method incorporates fuzzy logic and conventional controllers with utilization of vector control technique. This method combines the advantages of fuzzy logic controller and conventional controllers to improve the speed response of the induction motor. The design of fuzzy system consists of 9 fuzzy variables and 49 IF-THEN rules that define the behavior of the system. The FLC observes the loop error signal and correspondingly control the PID input error signal so that the actual speed signal matches the reference …

Alumnus Shares His Passion For Technology Accessibility

DePaul Magazine

Brent Shiver (CDM MS ’04, PhD ’13) attended the College of Computing and Digital Media and worked with another deaf student, Karen Alkoby (CDM MS ’99, PhD ’08), on the DePaul ASL Project, which combines computer technology and linguistics research to bridge the communication gap between the deaf and hearing worlds by working to develop a digital English-to-ASL translator. He works for IBM Accessibility as a software engineer.

Ecg Classification With An Adaptive Neuro-Fuzzy Inference System, Brad Thomas Funsten

Master's Theses

Heart signals allow for a comprehensive analysis of the heart. Electrocardiography (ECG or EKG) uses electrodes to measure the electrical activity of the heart. Extracting ECG signals is a non-invasive process that opens the door to new possibilities for the application of advanced signal processing and data analysis techniques in the diagnosis of heart diseases. With the help of today’s large database of ECG signals, a computationally intelligent system can learn and take the place of a cardiologist. Detection of various abnormalities in the patient’s heart to identify various heart diseases can be made through an Adaptive Neuro-Fuzzy Inference System …

Criticality And Risk Assessment For Pipe Rehabilitation In The City Of Santa Barbara Sewer System, Rossi Carmelo Rossi Ii

Master's Theses

Aging sewer infrastructure is posing greater and greater risk to the health and well-being of City residents. Issues can range from pipe blockages in sewer laterals to Sanitary Sewer Overflows. This thesis develops a risk analysis method that can be used by municipalities to maintain and rehabilitate sewer assets. Risk combines the effect of Likelihood of Failure (LOF) and Consequence of Failure (COF) to perform a complete two-dimensional analysis that allows for relative comparison between different pipes in the system. The LOF rating has been equated to pipe integrity while the COF rating was related to the environmental, economic, and …

Identifying Common Characteristics Of Malicious Insiders, Nan Liang, David Biros

Annual ADFSL Conference on Digital Forensics, Security and Law

Malicious insiders account for large proportion of security breaches or other kinds of loss for organizations and have drawn attention of both academics and practitioners. Although methods and mechanism have been developed to monitor potential insider via electronic data monitoring, few studies focus on predicting potential malicious insiders. Based on the theory of planned behavior, certain cues should be observed or expressed when an individual performs as a malicious insider. Using text mining to analyze various media content of existing insider cases, we strive to develop a method to identify crucial and common indicators that an individual might be a …

Speech Data Analysis For Semantic Indexing Of Video Of Simulated Medical Crises., Shuangshuang Jiang

Electronic Theses and Dissertations

The Simulation for Pediatric Assessment, Resuscitation, and Communication (SPARC) group within the Department of Pediatrics at the University of Louisville, was established to enhance the care of children by using simulation based educational methodologies to improve patient safety and strengthen clinician-patient interactions. After each simulation session, the physician must manually review and annotate the recordings and then debrief the trainees. The physician responsible for the simulation has recorded 100s of videos, and is seeking solutions that can automate the process. This dissertation introduces our developed system for efficient segmentation and semantic indexing of videos of medical simulations using machine learning …