Digital Commons Network^™

Assessment Of Classifiers For Potential Voice-Enabled Transportation Apps, Md Majbah Uddin

Theses and Dissertations

Transportation apps are playing a positive role for today’s technology-driven users. They provide users with a convenient and flexible tool to access transportation data and services, as well as collect and manage data. In many of these apps, such as Google Maps, their operations rely on the effectiveness of the voice recognition system. For the existing and new apps to be truly effective, the built-in voice recognition system needs to be robust (i.e., being able to recognize words spoken in different pitch and tone). The goal of this study is to assess three post-processing classifiers (i.e., bag-of-sentences, support vector machine, …

Hvdc Systems Fault Analysis Using Various Signal Processing Techniques, Benish Paily

Doctoral

The detection and fast clearance of faults are important for the safe and optimal operation of HVDC systems. In HVDC systems, various types of AC faults (rectifier & inverter side) and DC faults can occur. It is therefore necessary to detect the faults and classify them for better protection and diagnostics purposes. Various techniques for fault detection and classification in HVDC systems using signal processing techniques are presented and investigated in this research work. In this research work, it is shown that the wavelet transformation can effectively detect abrupt changes in system signals which are indicative of a fault. This …

A Multi-~Procedural Approach To Evaluating Walkability And Pedestrian Safety, Peris Nyagah

UNLV Theses, Dissertations, Professional Papers, and Capstones

Walking has sound health benefits and tends to be a pleasurable experience requiring no fuel, fare, license, nor registration. Whilst walking is recommended as part of physical activity, it is necessary to provide a conducive and safe walking environment. In an effort to determine an optimum combination of infrastructure that would create walkable, transit-oriented neighborhoods eliminating unnecessary motorized trips; various approaches evaluating an assortment of features in the walking environment have been implemented. However, some factors such as crash risk which have an essential contribution to the suitability of the walking environment have yet to be considered. Therefore the objective …

A Game-Based Learning Model, Fatmah Mohamed Ali Ramsi

Theses

The purpose of this research is to design a conceptual model and develop an implementation as a proof of concept of game-based learning (GBL)to support linguistic skills acquisition. Our model lays the foundations of game-based learning by defining methods, processes, and procedures to support the development of game-based learning systems. Integration of learning and gameplay raises various issues, among them the learning process, learning content, and game characteristics. Language competency is fundamental to academic and social success. Vocabulary acquisition is a primary basis for language competency. Word lists and dictionaries have been used as a resource to enrich vocabulary. The …

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 …

A Utility-Driven Approach To Supplier Evaluation And Selection: Empirical Validation Of An Integrated Solution Framework, Alptekin Ulutas, Nagesh Shukla, Senevi Kiridena, Peter Gibson

Nagesh Shukla

Supplier evaluation and selection (SES) problems have long been studied, leading to the development of a wide range of individual and hybrid models for solving them. However, the lack of widespread diffusion of existing SES models in the industry points to a need for simpler models that can systematically evaluate both qualitative and quantitative attributes of potential suppliers while enhancing the flexibility decision-makers need to account for relevant situational factors. Furthermore, empirical validations of existing models in SES have been few and far between. With a view to addressing these issues, this paper proposes an integrated solution framework that can …

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 …

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 …

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

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.

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

Journal of Marine Science and Technology

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 Hybrid Approach Of Intuitionistic Fuzzy Set Theory And Dematel Method To Prioritize Selection Criteria Of Bank Branches Locations, Amin Vafadarnikjoo, Mohammadsadegh Mobin, Sajjad Allahi, Ali Rastegari

Amin Vafadarnikjoo

Optimally locating new bank branches is a strategic decision in banking industry in order to stay competitive. The importance of this issue is primarily due to the fact that locating branches in appropriate sites is one of the main factors in absorbing and satisfying bank customers. This results in a core benefit for banks, particularly in a vibrant competition. In addition, without a set of well-chosen selection criteria and their prominence, the goal of locating suitable sites for bank branches would not be efficiently achieved. In this research, six most widely used criteria for bank branch location consideration are obtained …

A Servqual Model Approach Integrated With Fuzzy Ahp And Fuzzy Topsis Methodologies To Rank Life Insurance Firms, Mahdi Saeedpoor, Amin Vafadarnikjoo, Mohammadsadegh Mobin, Ali Rastegari

Amin Vafadarnikjoo

Ranking life insurance firms, particularly regarding customer-oriented criteria, has become a significant research priority of many insurance research centers. This is mainly due to the effective role of life insurance in improving the capital market and the role of service quality in customer satisfaction. This issue has remained one of the major topics associated with insurance industry which has not been sufficiently explored in the literature. This study aims at prioritizing insurance firms which hold the majority proportion of Iran's total life insurance market. Life insurers are assessed and ranked with regard to 5 criteria of customer service quality in …

A Computational Translation Of The Phaistos Disk, Peter Revesz

CSE 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 …

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

Research: South Dakota State University

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

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

CSE 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 …

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 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.

Answer Credibility: A Language Modeling Approach To Answer Validation, Protima Banerjee, Hyoil Han

Hyoil Han

Answer Validation is a topic of significant interest within the Question Answering community. In this paper, we propose the use of language modeling methodologies for Answer Validation, using corpus-based methods that do not require the use of external sources. Specifically, we propose a model for Answer Credibility which quantifies the reliability of a source document that contains a candidate answer and the Question’s Context Model.

Concept Frequency Distribution In Biomedical Text Summarization, Lawrence H. Reeve, Hyoil Han, Saya V. Nagori, Jonathan C. Yang, Tamara A. Schwimmer, Ari D. Brooks

Hyoil Han

Text summarization is a data reduction process. The use of text summarization enables users to reduce the amount of text that must be read while still assimilating the core information. The data reduction offered by text summarization is particularly useful in the biomedical domain, where physicians must continuously find clinical trial study information to incorporate into their patient treatment efforts. Such efforts are often hampered by the high-volume of publications. Our contribution is two-fold: 1) to propose the frequency of domain concepts as a method to identify important sentences within a full-text; and 2) propose a novel frequency distribution model …

Proceedings Of Naacl Hlt 2009: Short Papers , Pages 157–160, Boulder, Colorado, June 2009. C 2009 Association For Computational Linguistics Answer Credibility: A Language Modeling Approach To Answer Validation, Protima Banerjee, Hyoil Han

Hyoil Han

Answer Validation is a topic of significant interest within the Question Answering community. In this paper, we propose the use of language modeling methodologies for Answer Validation, using corpus-based methods that do not require the use of external sources. Specifically, we propose a model for Answer Credibility which quantifies the reliability of a source document that contains a candidate answer and the Question’s Context Model.

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 …

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 …

Ontological Meta-Analysis And Synthesis Of Hipaa, Arkalgud Ramaprasad, Thant Syn, Khin Than Win

Thant Syn

We present ontological meta-analysis and synthesis of HIPAA (Health Insurance Portability and Accountability Act) as a method for reviewing, mapping, and visualizing the research literature in the domain cumulatively, logically, systematically, and systemically. The method will highlight the domain's bright spots which are heavily emphasized, the light spots which are lightly emphasized, the blind spots which have been overlooked, and the blank spots which may never be emphasized. It will highlight the biases and asymmetries in the domain's research; the research can then be realigned to make it stronger and more effective. We present an ontology for HIPAA, map the …

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

McKelvey School of Engineering 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 …

Collaborative Models For Supply Networks Coordination And Healthcare Consolidation, Shima Mohebbi

Doctoral Dissertations

This work discusses the collaboration framework among different members of two complex systems: supply networks and consolidated healthcare systems. Although existing literature advocates the notion of strategic partnership/cooperation in both supply networks and healthcare systems, there is a dearth of studies quantitatively analyzing the scope of cooperation among the members and its benefit on the global performance. Hence, the first part of this dissertation discusses about two-echelon supply networks and studies the coordination of buyers and suppliers for multi-period procurement process. Viewing the issue from the same angel, the second part studies the coordination framework of hospitals for consolidated healthcare …