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Concept-Based Interactive Search System, Yi-Jie LU, Phuong Anh NGUYEN, Hao ZHANG, Chong-wah NGO 2017 City University of Hong Kong

Concept-Based Interactive Search System, Yi-Jie Lu, Phuong Anh Nguyen, Hao Zhang, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Our successful multimedia event detection system at TREC-VID 2015 showed its strength on handling complex concepts in a query. The system was based on a large number of pre-trained concept detectors for textual-to-visual relation. In this paper, we enhance the system by enabling human-in-the-loop. In order to facilitate a user to quickly find an information need, we incorporate concept screening, video reranking by highlighted concepts, relevance feedback and color sketch to refine a coarse retrieval result. The aim is to eventually come up with a system suitable for both Ad-hoc Video Search and Known-Item Search. In addition, as the increasing …


Xic Clustering By Baseyian Network, Kyle J. Handy 2017 Computer Sciences

Xic Clustering By Baseyian Network, Kyle J. Handy

Graduate Student Theses, Dissertations, & Professional Papers

No abstract provided.


Information Communication Technology Management As A Gdp Growth Contributor Within Arab League Nations, Jamal Alexander Thompson 2017 Walden University

Information Communication Technology Management As A Gdp Growth Contributor Within Arab League Nations, Jamal Alexander Thompson

Walden Dissertations and Doctoral Studies

The general problem addressed in this study was Arab League nations' over-reliance on fossil fuels as a gross domestic product (GDP) growth driver. Arab League nations that depend primarily on fossil fuel production lack alternative resources for growth in times of fossil fuel usage or price decline. Overdependence on fossil fuels has led to minimal development in other economic sectors, primarily in skilled domestic labor, and to a high dependency on foreign skilled labor for skilled domestic jobs. The purpose of this study was to examine to what extent information communication technology (ICT) management can be a viable GDP growth …


Collaboration Strategies To Reduce Technical Debt, Jeffrey Allen Miko 2017 Walden University

Collaboration Strategies To Reduce Technical Debt, Jeffrey Allen Miko

Walden Dissertations and Doctoral Studies

Inadequate software development collaboration processes can allow technical debt to accumulate increasing future maintenance costs and the chance of system failures. The purpose of this qualitative case study was to explore collaboration strategies software development leaders use to reduce the amount of technical debt created by software developers. The study population was software development leaders experienced with collaboration and technical debt at a large health care provider in the state of California. The data collection process included interviews with 8 software development leaders and reviewing 19 organizational documents relating to software development methods. The extended technology acceptance model was used …


Strategies To Improve Engagement Among Public Sector Information Technology Employees, Michelle Dawn Benham 2017 Walden University

Strategies To Improve Engagement Among Public Sector Information Technology Employees, Michelle Dawn Benham

Walden Dissertations and Doctoral Studies

Disengaged employees decrease organizations' efficiencies and profitability. Engaged employees provide greater productivity and performance while being less likely to incur job burnout and exhaustion. However, public sector organizational leaders still struggle to engage their information technology (IT) employees. Partnering with a large public sector organization in the Phoenix, Arizona, metropolitan area, in a case study design, this study explored the strategies that public sector business leaders use to increase productivity through engaging IT employees. The conceptual framework for this study was the job demands-resources framework. Four participants were selected through purposeful sampling from a population of 7 IT leaders who …


Threat Intelligence In Support Of Cyber Situation Awareness, Billy Paul Gilliam 2017 Walden University

Threat Intelligence In Support Of Cyber Situation Awareness, Billy Paul Gilliam

Walden Dissertations and Doctoral Studies

Despite technological advances in the information security field, attacks by unauthorized individuals and groups continue to penetrate defenses. Due to the rapidly changing environment of the Internet, the appearance of newly developed malicious software or attack techniques accelerates while security professionals continue in a reactive posture with limited time for identifying new threats. The problem addressed in this study was the perceived value of threat intelligence as a proactive process for information security. The purpose of this study was to explore how situation awareness is enhanced by receiving advanced intelligence reports resulting in better decision-making for proper response to security …


Data Mining By Grid Computing In The Search For Extrasolar Planets, Oisin Creaner [Thesis] 2017 Dublin Institute for Advanced Studies

Data Mining By Grid Computing In The Search For Extrasolar Planets, Oisin Creaner [Thesis]

Doctoral

A system is presented here to provide improved precision in ensemble differential photometry. This is achieved by using the power of grid computing to analyse astronomical catalogues. This produces new catalogues of optimised pointings for each star, which maximise the number and quality of reference stars available. Astronomical phenomena such as exoplanet transits and small-scale structure within quasars may be observed by means of millimagnitude photometric variability on the timescale of minutes to hours. Because of atmospheric distortion, ground-based observations of these phenomena require the use of differential photometry whereby the target is compared with one or more reference stars. …


A Semantics-Based Measure Of Emoji Similarity, Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran 2017 Wright State University - Main Campus

A Semantics-Based Measure Of Emoji Similarity, Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran

Kno.e.sis Publications

Emoji have grown to become one of the most important forms of communication on the web. With its widespread use, measuring the similarity of emoji has become an important problem for contemporary text processing since it lies at the heart of sentiment analysis, search, and interface design tasks. This paper presents a comprehensive analysis of the semantic similarity of emoji through embedding models that are learned over machine-readable emoji meanings in the EmojiNet knowledge base. Using emoji descriptions, emoji sense labels and emoji sense definitions, and with different training corpora obtained from Twitter and Google News, we develop and test …


Identifying Depressive Disorder In The Twitter Population, Goonmeet Bajaj, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth 2017 Wright State University - Main Campus

Identifying Depressive Disorder In The Twitter Population, Goonmeet Bajaj, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth

Kno.e.sis Publications

Depression is a highly prevalent public health challenge and a major cause of disability across the globe.

  • Annually 6.7% of Americans (that is, more than 16 million).
  • Traditional approaches to curb depression involve survey·based methods via phone or online questionnaires.
  • Large temporal gaps and cognitive bias.

Social media provides a method for learning users' feelings, emotions, behaviors, and decisions in real-time.


Essays On Sofwtare Development Projects: Impact Of Social And Technological Factors On Project Performance And Co-Diffusion Of Software Sourcing Arrangements, Niharika Dayyala 2017 University of Texas at El Paso

Essays On Sofwtare Development Projects: Impact Of Social And Technological Factors On Project Performance And Co-Diffusion Of Software Sourcing Arrangements, Niharika Dayyala

Open Access Theses & Dissertations

Software development is a complicated process which is accomplished by the combined effort of the key elements such as people, processes, and technology. Software development firms are on a constant quest to identify the best practices for managing the key elements to improve their software development project outcomes and to deliver successful software projects. This Dissertation aims to study key elements that can influence the software development project performance through three distinctive studies. The first essay of this Dissertation investigates the impact of people factors on software project outcomes. Specifically, it examines the impact of team characteristics on the software …


Knowledge Activation For Patient Centered Care: Bridging The Health Information Technology Divide, Sajda Qureshi, Cherie Notebloom 2017 University of Nebraska at Omaha

Knowledge Activation For Patient Centered Care: Bridging The Health Information Technology Divide, Sajda Qureshi, Cherie Notebloom

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

The provision of healthcare is a collaborative process. It follows evidence based treatments which are becoming increasingly data driven and focusing on the best clinical outcomes. Patient centered care requires participation of patients in the decision making of the best treatment options. Healthcare provision requires both evidence based and patient centered care. In practice, these two perspectives conflict with each other due to the use of an information technology designed primarily for billing purposes. Using the knowledge activation framework developed by Qureshi and Keen [25], we analyze data from two hospitals in the Midwest that aim to achieve quality of …


Understanding The Role Of Information Technology In The Development Of Micro-Enterprises: Concepts To Study In Making A Better World, Sajda Qureshi, Jason Jie Xiong 2017 University of Nebraska at Omaha

Understanding The Role Of Information Technology In The Development Of Micro-Enterprises: Concepts To Study In Making A Better World, Sajda Qureshi, Jason Jie Xiong

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

The concept of Development has alluded scholars and practitioners when information technology becomes prevalent. The majority of research in the Information Technology for Development (ICT4D) field is considered to be practice intended to make the world better with Information and Communications technologies (ICTs). In addition, a majority of wellintentioned ICT4D projects tend to fail, often due to unrealistic expectation set by development agencies responding to their political objectives. At the same time, Information Systems (IS) research is ripe with well-studied concepts that do little to make a better world. This paper investigates ICT interventions in three case studies of micro-enterprises …


Using Embedded Mixed Methods In Studying Is Phenomena: Risks And Practical Remedies With An Illustration, Xiaodan Yu, Deepak Khazanchi 2017 University of International Business and Economics

Using Embedded Mixed Methods In Studying Is Phenomena: Risks And Practical Remedies With An Illustration, Xiaodan Yu, Deepak Khazanchi

Information Systems and Quantitative Analysis Faculty Publications

Drawing on lessons learned from a mixed-methods research project, we illustrate how mixed research approaches are fruitful in studying the complexities and interactions inherent in IS phenomena, which is particularly relevant when one investigates relatively new and “messy” phenomena in that many opportunities for errors and omissions can arise. Mixed-methods research designs can also prove to be valuable in exploratory or new areas of research and provide empirical evidence from multiple sources and types of data that one can truly triangulate. In this paper, we discuss the risks associated with using a specific mixed-methods research strategy (i.e., embedded mixed-methods design) …


Analysis Of Affective State As Covariate In Human Gait Identification, Kofi Agyemang Adumata 2017 Walden University

Analysis Of Affective State As Covariate In Human Gait Identification, Kofi Agyemang Adumata

Walden Dissertations and Doctoral Studies

There is an increased interest in the need for a noninvasive and nonintrusive biometric identification and recognition system such as Automatic Gait Identification (AGI) due to the rise in crime rates in the US, physical assaults, and global terrorism in public places. AGI, a biometric system based on human gait, can recognize people from a distance and current literature shows that AGI has a 95.75% success rate in a closely controlled laboratory environment. Also, this success rate does not take into consideration the effect of covariate factors such as affective state (mood state); and literature shows that there is a …


Offshore Outsourcing Of The United States Semiconductor Manufacturing: Management Approaches And Strategies, Oscar Mostofi 2017 Walden University

Offshore Outsourcing Of The United States Semiconductor Manufacturing: Management Approaches And Strategies, Oscar Mostofi

Walden Dissertations and Doctoral Studies

The United States manufacturing employment decreased 33% from 1985 to 2014. During the same period, the United States semiconductor manufacturing, accounting for 1.7% of the total of the United States manufacturing workforce, lost 35% of its employees. The decline in semiconductor manufacturing jobs began in 1985 when semiconductor firms began offshoring product manufacturing overseas because of low cost of qualified labor force and facilities. This qualitative case study explored the analytical approaches and strategies business leaders of semiconductor firms that offshore manufacturing use in making informed strategic outsourcing and offshoring decisions conducive to sustainability and profitability of operations. The location …


Exploring Security, Privacy, And Reliability Strategies To Enable The Adoption Of Iot, Daud Alyas Kamin 2017 Walden University

Exploring Security, Privacy, And Reliability Strategies To Enable The Adoption Of Iot, Daud Alyas Kamin

Walden Dissertations and Doctoral Studies

The Internet of things (IoT) is a technology that will enable machine-to-machine communication and eventually set the stage for self-driving cars, smart cities, and remote care for patients. However, some barriers that organizations face prevent them from the adoption of IoT. The purpose of this qualitative exploratory case study was to explore strategies that organization information technology (IT) leaders use for security, privacy, and reliability to enable the adoption of IoT devices. The study population included organization IT leaders who had knowledge or perceptions of security, privacy, and reliability strategies to adopt IoT at an organization in the eastern region …


Towards An Understanding Of The Mental Model Process While Writing Sql Queries, Zahra Hatami 2017 University of Nebraska at Omaha

Towards An Understanding Of The Mental Model Process While Writing Sql Queries, Zahra Hatami

Student Work

SQL (Structured Query Language) is a standard language to communicate with a relational database system. SQL is a core competency for people in the data management field and is, therefore, a foundational skill taught to users in information systems. This research analyzes users’ mental models while they formulate SQL queries. The purpose of this thesis is to understand the strategies users use. These strategies both reflect and help develop the users’ mental models. This research attempts to discover users' mental models while learning SQL for the purpose of finding better ways to teach SQL skills. This research analyzes data from …


Enhancing Existing Disaster Recovery Plans Using Backup Performance Indicators, Gwen White 2017 Walden University

Enhancing Existing Disaster Recovery Plans Using Backup Performance Indicators, Gwen White

Walden Dissertations and Doctoral Studies

Companies that perform data backup lose valuable data because they lack reliable data backup or restoration methods. The purpose of this study was to examine the need for a Six Sigma data backup performance indicator tool that clarifies the current state of a data backup method using an intuitive numerical scale. The theoretical framework for the study included backup theory, disaster recovery theory, and Six Sigma theory. The independent variables were implementation of data backup, data backup quality, and data backup confidence. The dependent variable was the need for a data backup performance indicator. An adapted survey instrument that measured …


Strategies To Prevent Security Breaches Caused By Mobile Devices, Tony Griffin 2017 Walden University

Strategies To Prevent Security Breaches Caused By Mobile Devices, Tony Griffin

Walden Dissertations and Doctoral Studies

Data breaches happen almost every day in the United States and, according to research, the majority of these breaches occur due to a lack of security with organizations' mobile devices. Although most of the security policies related to mobile devices currently in place may meet the guidelines required by law, they often fail to prevent a data breach caused by a mobile device. The main purpose of this qualitative single case study was to explore the strategies used by security managers to prevent data breaches caused by mobile devices. The study population consisted of security managers working for a government …


Special Issue: Neutrosophic Theories Applied In Engineering, Florentin Smarandache, Jun Ye 2017 University of New Mexico

Special Issue: Neutrosophic Theories Applied In Engineering, Florentin Smarandache, Jun Ye

Branch Mathematics and Statistics Faculty and Staff Publications

Neutrosophic sets and logic are generalizations of fuzzy and intuitionistic fuzzy sets and logic. Neutrosophic sets and logic are gaining significant attention in solving many real life decision making problems that involve uncertainty, impreciseness, vagueness, incompleteness, inconsistent, and indeterminacy. They have been applied in computational intelligence, multiple criteria decision making, image processing, medical diagnoses, etc. This Special Issue presents original research papers that report on state-of-the-art and recent advancements in neutrosophic sets and logic in soft computing, artificial intelligence, big and small data mining, decision making problems, and practical achievements.


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