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Articles 25171 - 25200 of 63971

Full-Text Articles in Computer Sciences

Critiquing Antipatterns In Novice Code, Leo C. Ureel Ii Jan 2020

Critiquing Antipatterns In Novice Code, Leo C. Ureel Ii

Dissertations, Master's Theses and Master's Reports

Students in introductory computer science courses, are learning to program. Indeed, most students perceive that learning to code is the central topic explored in the courses. Students spend an enormous amount of time struggling to learn the syntax and understand semantics of a particular language. Instructors spend a similar amount of time reading student code and explaining the meaning of the cryptic error messages displayed by compilers. Messages provided by compilers are intended to give feedback on the adherence of one’s code to the language specification and conventions. Unfortunately, these message are geared towards experts who have a clear understanding …

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Machine Learning? In My Election? It's More Likely Than You Think: Voting Rules Via Neural Networks, Daniel Firebanks-Quevedo Jan 2020

Machine Learning? In My Election? It's More Likely Than You Think: Voting Rules Via Neural Networks, Daniel Firebanks-Quevedo

Honors Papers

Impossibility theorems in social choice have represented a barrier in the creation of universal, non-dictatorial, and non-manipulable voting rules, highlighting a key trade-off between social welfare and strategy-proofness. However, a social planner may be concerned with only a particular preference distribution and wonder whether it is possible to better optimize this trade-off. To address this problem, we propose an end-to-end, machine learning-based framework that creates voting rules according to a social planner's constraints, for any type of preference distribution. After experimenting with rank-based social choice rules, we find that automatically-designed rules are less susceptible to manipulation than most existing rules, …

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Vireo @ Video Browser Showdown 2020, Phuong Anh Nguyen, Jiaxin Wu, Chong-Wah Ngo, Danny Francis, Benoit Huet Jan 2020

Vireo @ Video Browser Showdown 2020, Phuong Anh Nguyen, Jiaxin Wu, Chong-Wah Ngo, Danny Francis, Benoit Huet

Research Collection School Of Computing and Information Systems

In this paper, we present the features implemented in the 4th version of the VIREO Video Search System (VIREO-VSS). In this version, we propose a sketch-based retrieval model, which allows the user to specify a video scene with objects and their basic properties, including color, size, and location. We further utilize the temporal relation between video frames to strengthen this retrieval model. For text-based retrieval module, we supply speech and on-screen text for free-text search and upgrade the concept bank for concept search. The search interface is also re-designed targeting the novice user. With the introduced system, we expect that …

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Automatically Categorizing Software Technologies, Mathieu Nassif, Christoph Treude, Martin P. Robillard Jan 2020

Automatically Categorizing Software Technologies, Mathieu Nassif, Christoph Treude, Martin P. Robillard

Research Collection School Of Computing and Information Systems

Informal language and the absence of a standard taxonomy for software technologies make it difficult to reliably analyze technology trends on discussion forums and other on-line venues. We propose an automated approach called Witt for the categorization of software technologies (an expanded version of the hypernym discovery problem). Witt takes as input a phrase describing a software technology or concept and returns a general category that describes it (e.g., integrated development environment), along with attributes that further qualify it (commercial, php, etc.). By extension, the approach enables the dynamic creation of lists of all technologies of a given type (e.g., …

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Deterministic Identity-Based Encryption From Lattice-Based Programmable Hash Functions With High Min-Entropy, Daode Zhang, Jie Li, Bao Li, Xianhui Lu, Haiyang Xue, Dingding Jia, Yamin Liu Jan 2020

Deterministic Identity-Based Encryption From Lattice-Based Programmable Hash Functions With High Min-Entropy, Daode Zhang, Jie Li, Bao Li, Xianhui Lu, Haiyang Xue, Dingding Jia, Yamin Liu

Research Collection School Of Computing and Information Systems

There only exists one deterministic identity-based encryption (DIBE) scheme which is adaptively secure in the auxiliary-input setting, under the learning with errors (LWE) assumption. However, the master public key consists of basic matrices. In this paper, we consider to construct adaptively secure DIBE schemes with more compact public parameters from the LWE problem. (i) On the one hand, we gave a generic DIBE construction from lattice-based programmable hash functions with high min-entropy. (ii) On the other hand, when instantiating our generic DIBE construction with four LPHFs with high min-entropy, we can get four adaptively secure DIBE schemes with more compact …

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The Topicality Of The Learning Organization: Is The Concept Still Relevant Today?, Siu Loon Hoe Jan 2020

The Topicality Of The Learning Organization: Is The Concept Still Relevant Today?, Siu Loon Hoe

Research Collection School Of Computing and Information Systems

This chapter introduces the current level of interest in the learning organization and usefulness of the concept at the present time. It reviews authors who have recently and explicitly commented on the topicality of the learning organization, offers a qualitative content analysis of recent journal publications on learning organizations justifying the need for the concept, and uses quantitative research using print media indicators and Google Trends to identify the number of publications related to the learning organization over time. The results suggest that while the level of interest in the learning organization among scientific researchers has grown, the level of …

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Teacher-Student Networks With Multiple Decoders For Solving Math Word Problem, Jipeng Zhang, Roy Ka-Wei Lee, Ee-Peng Lim, Wei Qin, Lei Wang, Jie Shao, Qianru Sun Jan 2020

Teacher-Student Networks With Multiple Decoders For Solving Math Word Problem, Jipeng Zhang, Roy Ka-Wei Lee, Ee-Peng Lim, Wei Qin, Lei Wang, Jie Shao, Qianru Sun

Research Collection School Of Computing and Information Systems

Math word problem (MWP) is challenging due to the limitation in training data where only one “standard” solution is available. MWP models often simply fit this solution rather than truly understand or solve the problem. The generalization of models (to diverse word scenarios) is thus limited. To address this problem, this paper proposes a novel approach, TSN-MD, by leveraging the teacher network to integrate the knowledge of equivalent solution expressions and then to regularize the learning behavior of the student network. In addition, we introduce the multiple-decoder student network to generate multiple candidate solution expressions by which the final answer …

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Deepdrawing: A Deep Learning Approach To Graph Drawing, Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu Jan 2020

Deepdrawing: A Deep Learning Approach To Graph Drawing, Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu

Research Collection School Of Computing and Information Systems

Node-link diagrams are widely used to facilitate network explorations. However, when using a graph drawing technique to visualize networks, users often need to tune different algorithm-specific parameters iteratively by comparing the corresponding drawing results in order to achieve a desired visual effect. This trial and error process is often tedious and time-consuming, especially for non-expert users. Inspired by the powerful data modelling and prediction capabilities of deep learning techniques, we explore the possibility of applying deep learning techniques to graph drawing. Specifically, we propose using a graph-LSTM-based approach to directly map network structures to graph drawings. Given a set of …

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Planningvis: A Visual Analytics Approach To Production Planning In Smart Factories, Dong Sun, Renfei Huang, Yuanzhe Chen, Yong Wang, Jia Zeng, Mingxuan Yuan, Ting-Chuen Pong, Huamin Qu Jan 2020

Planningvis: A Visual Analytics Approach To Production Planning In Smart Factories, Dong Sun, Renfei Huang, Yuanzhe Chen, Yong Wang, Jia Zeng, Mingxuan Yuan, Ting-Chuen Pong, Huamin Qu

Research Collection School Of Computing and Information Systems

Production planning in the manufacturing industry is crucial for fully utilizing factory resources (e.g., machines, raw materials and workers) and reducing costs. With the advent of industry 4.0, plenty of data recording the status of factory resources have been collected and further involved in production planning, which brings an unprecedented opportunity to understand, evaluate and adjust complex production plans through a data-driven approach. However, developing a systematic analytics approach for production planning is challenging due to the large volume of production data, the complex dependency between products, and unexpected changes in the market and the plant. Previous studies only provide …

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Towards Automated Infographic Design: Deep Learning-Based Auto-Extraction Of Extensible Timeline, Zhutian Chen, Yun Wang, Qianwen Wang, Yong Wang, Huamin Qu Jan 2020

Towards Automated Infographic Design: Deep Learning-Based Auto-Extraction Of Extensible Timeline, Zhutian Chen, Yun Wang, Qianwen Wang, Yong Wang, Huamin Qu

Research Collection School Of Computing and Information Systems

Designers need to consider not only perceptual effectiveness but also visual styles when creating an infographic. This process can be difficult and time consuming for professional designers, not to mention non-expert users, leading to the demand for automated infographics design. As a first step, we focus on timeline infographics, which have been widely used for centuries. We contribute an end-to-end approach that automatically extracts an extensible timeline template from a bitmap image. Our approach adopts a deconstruction and reconstruction paradigm. At the deconstruction stage, we propose a multi-task deep neural network that simultaneously parses two kinds of information from a …

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A Review Of Emotion Sensing: Categorization Models And Algorithms, Zhaoxia Wang, Seng-Beng Ho, Erik Cambria Jan 2020

A Review Of Emotion Sensing: Categorization Models And Algorithms, Zhaoxia Wang, Seng-Beng Ho, Erik Cambria

Research Collection School Of Computing and Information Systems

Sentiment analysis consists in the identification of the sentiment polarity associated with a target object, such as a book, a movie or a phone. Sentiments reflect feelings and attitudes, while emotions provide a finer characterization of the sentiments involved. With the huge number of comments generated daily on the Internet, besides sentiment analysis, emotion identification has drawn keen interest from different researchers, businessmen and politicians for polling public opinions and attitudes. This paper reviews and discusses existing emotion categorization models for emotion analysis and proposes methods that enhance existing emotion research. We carried out emotion analysis by inviting experts from …

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Entity-Sensitive Attention And Fusion Network For Entity-Level Multimodal Sentiment Classification, Jianfei Yu, Jing Jiang Jan 2020

Entity-Sensitive Attention And Fusion Network For Entity-Level Multimodal Sentiment Classification, Jianfei Yu, Jing Jiang

Research Collection School Of Computing and Information Systems

Entity-level (aka target-dependent) sentiment analysis of social media posts has recently attracted increasing attention, and its goal is to predict the sentiment orientations over individual target entities mentioned in users' posts. Most existing approaches to this task primarily rely on the textual content, but fail to consider the other important data sources (e.g., images, videos, and user profiles), which can potentially enhance these text-based approaches. Motivated by the observation, we study entity-level multimodal sentiment classification in this article, and aim to explore the usefulness of images for entity-level sentiment detection in social media posts. Specifically, we propose an Entity-Sensitive Attention …

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Pgas: Privacy-Preserving Graph Encryption For Accurate Constrained Shortest Distance Queries, Can Zhang, Liehuang Zhu, Kashif Sharif, Chuan Zhang, Ximeng Liu Jan 2020

Pgas: Privacy-Preserving Graph Encryption For Accurate Constrained Shortest Distance Queries, Can Zhang, Liehuang Zhu, Kashif Sharif, Chuan Zhang, Ximeng Liu

Research Collection School Of Computing and Information Systems

The constrained shortest distance (CSD) query is used to determine the shortest distance between two vertices of a graph while ensuring that the total cost remains lower than a given threshold. The virtually unlimited storage and processing capabilities of cloud computing have enabled the graph owners to outsource their graph data to cloud servers. However, it may introduce privacy challenges that are difficult to address. In recent years, some relevant schemes that support the shortest distance query on the encrypted graph have been proposed. Unfortunately, some of them have unacceptable query accuracy, and some of them leak sensitive information that …

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Synthesizing Aspect-Driven Recommendation Explanations From Reviews, Trung-Hoang Le, Hady W. Lauw Jan 2020

Synthesizing Aspect-Driven Recommendation Explanations From Reviews, Trung-Hoang Le, Hady W. Lauw

Research Collection School Of Computing and Information Systems

Explanations help to make sense of recommendations, increasing the likelihood of adoption. However, existing approaches to explainable recommendations tend to rely on rigid, standardized templates, customized only via fill-in-the-blank aspect sentiments. For more flexible, literate, and varied explanations covering various aspects of interest, we synthesize an explanation by selecting snippets from reviews, while optimizing for representativeness and coherence. To fit target users' aspect preferences, we contextualize the opinions based on a compatible explainable recommendation model. Experiments on datasets of several product categories showcase the efficacies of our method as compared to baselines based on templates, review summarization, selection, and text …

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The Challenges Of Adopting Cloud Computing In Nigerian Government Organizations, Ayodele Adegbenga Bakare Jan 2020

The Challenges Of Adopting Cloud Computing In Nigerian Government Organizations, Ayodele Adegbenga Bakare

Walden Dissertations and Doctoral Studies

Several technical challenges prevent the adoption of cloud computing by government organizations in Nigeria. Information technology (IT) leaders in the Nigerian government are concerned about this problem because the lack of cloud computing adoption may prevent the Nigerian government from taking advantage of cloud-based information systems to improve its service delivery to citizens and businesses. Grounded in the technology acceptance model, the purpose of this quantitative correlational study was to examine if IT administrators’ perception of data security and perception of fault tolerance can predict their intentions to adopt cloud computing. Data were collected from 79 IT administrators in government …

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Obstacles With Data Security: Strategies From Carolina Universities, Yamiah R. Compton Jan 2020

Obstacles With Data Security: Strategies From Carolina Universities, Yamiah R. Compton

Walden Dissertations and Doctoral Studies

Some university data custodians lack information security strategies to prevent data security breaches. Reducing duplicitous use of personally identifiable information (PII) obtained maliciously from colleges and universities should be important to university data custodians, IT leadership of all levels, state legislators, and individuals that have an interest in moving into the cybersecurity space in higher education. Grounded in general systems theory, the purpose of this multiple qualitative case study was to examine information security strategies that university data custodians use to protect PII collected from staff, students, and other stakeholders. The participants consisted of 15 college and university data custodians …

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Strategies For Automating Pharmacovigilance Adverse Event Case Processing, Mythily Easwar Jan 2020

Strategies For Automating Pharmacovigilance Adverse Event Case Processing, Mythily Easwar

Walden Dissertations and Doctoral Studies

Business leaders who fail to implement innovative technology solutions in their companies face economic distress in these organizations. Guided by the task technology fit model as the conceptual framework, the purpose of this qualitative single case study was to explore strategies used by pharmacovigilance (PV) systems leaders to implement innovative technology solutions. The participants were 4 PV systems managers working in a pharmaceutical company in the Boston area of Massachusetts, United States, who used successful strategies to implement innovative technology solutions to automate adverse events case processing. Data were collected using semistructured interviews and company documents. The collected data were …

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Information Technology Disaster Recovery Planning By Florida Nonprofit Organizations, Derek Keith Erfourth Jan 2020

Information Technology Disaster Recovery Planning By Florida Nonprofit Organizations, Derek Keith Erfourth

Walden Dissertations and Doctoral Studies

Inadequate information technology (IT) disaster recovery planning (DRP) by nonprofit organizations could lead to organizational failure post-large-scale natural disasters. Without proper funding and planning, organizations may not be able to withstand the effects of a natural disaster resulting in the closure and the community losing a critical need service. Grounded in resilience theory, the purpose of this qualitative multiple case study was to explore strategies utilized by Florida-based nonprofit organization technology managers to adopt and implement an IT DRP to aid in post-natural disaster recovery efforts. The data collection included interviews with 5 IT managers and reviews of 4 business …

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Implementing Cloud-Based Enterprise Resource Planning Solutions In Small And Medium Enterprises, Ali Hamdar Jan 2020

Implementing Cloud-Based Enterprise Resource Planning Solutions In Small And Medium Enterprises, Ali Hamdar

Walden Dissertations and Doctoral Studies

Lacking strategies to implement a cloud-based enterprise resource planning (ERP) solution in small and medium-sized enterprises (SMEs) can lead to a failed implementation. SME owners can improve company performance by integrating company processes by successfully implementing a cloud-based ERP solution. Grounded in the diffusion of innovation theory augmented with business process management design for Six Sigma, the purpose of this qualitative multiple case study was to explore strategies SME owners use to implement cloud-based ERP solutions. The participants consisted of 4 SME owners in Lebanon who successfully implemented a cloud-based ERP solution and improved company performance and growth. Data were …

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Exploring Mid-Market Strategies For Big Data Governance, Kenneth Stanley Knapton Iii Jan 2020

Exploring Mid-Market Strategies For Big Data Governance, Kenneth Stanley Knapton Iii

Walden Dissertations and Doctoral Studies

Many data scientists are struggling to adopt effective data governance practices as they transition from traditional data analysis to big data analytics. Data governance of big data requires new strategies to deal with the volume, variety, and velocity attributes of big data. The purpose of this qualitative multiple case study was to explore big data governance strategies employed by data scientists to provide a holistic perspective of those data for making decisions. The participants were 10 data scientists employed in multiple mid-market companies in the greater Salt Lake City, Utah area who have strategies to govern big data. This study’s …

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Strategies To Implement A Material Management Information System For Medical Device Recalls, Paul Leo Lafrance Jan 2020

Strategies To Implement A Material Management Information System For Medical Device Recalls, Paul Leo Lafrance

Walden Dissertations and Doctoral Studies

Health care business executives lack strategies to implement material management information systems (MMIS) related to medical device recalls. Lacking sufficient MMIS, health care business executives face insufficient product tracking related to medical devices affecting operational efficiency. Grounded in the conceptual frameworks of the technology acceptance model and diffusion of innovation, the purpose of this qualitative single case study was to explore health care business executives’ strategies for implementing an MMIS related to medical device recalls. The participants were 6 health care executives who implemented an MMIS in an urban hospital in the northeast region of the United States. Data were …

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Leadership Styles And Emotional Intelligence Of Federal Employees In Diversified Work Environments, Richard Lopez Jan 2020

Leadership Styles And Emotional Intelligence Of Federal Employees In Diversified Work Environments, Richard Lopez

Walden Dissertations and Doctoral Studies

On the Office of Personnel Management Federal Viewpoint Surveys, followers rated their leaders as ineffective. The public expects federal government leaders to effectively lead their followers in order to efficiently manage public services. The purpose of this correlational nonexperimental study was to determine whether there is a correlation between emotional intelligence (EQ) and a full range of leadership styles, as measured by the multileadership questionnaire (MLQ), from the perspective of the follower. Grounded in the theory of EQ, the extant scholarly literature revealed EQ skills complements leadership styles and predict leader success in a variety of business sectors, cultures, and …

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Factors That Influence Throughput On Cloud-Hosted Mysql Server, Eric Brown Jan 2020

Factors That Influence Throughput On Cloud-Hosted Mysql Server, Eric Brown

Walden Dissertations and Doctoral Studies

Many businesses are moving their infrastructure to the cloud and may not fully understand the factors that can increase costs. With so many factors available to improve throughput in a database, it can be difficult for a database administrator to know which factors can provide the best efficiency to maintain lower costs. Grounded in Six Sigma theoretical framework, the purpose of this quantitative, quasi-experimental study was to evaluate the relationship between the time of day, the number of concurrent users, InnoDB buffer pool size, InnoDB Input/Output capacity, and MySQL transaction throughput to a MySQL database running on a cloud, virtual, …

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Exploring The Relationship Between Iot Security And Standardization, James Jenness Clapp Jan 2020

Exploring The Relationship Between Iot Security And Standardization, James Jenness Clapp

Walden Dissertations and Doctoral Studies

The adoption of the Internet of Things (IoT) technology across society presents new and unique challenges for security experts in maintaining uninterrupted services across the technology spectrum. A botnet implemented over 490,000 IoT connected devices to cripple the Internet services for major companies in one recent IoT attack. Grounded in Roger’s diffusion of innovations theory, the purpose of this qualitative exploratory multiple-case study was to explore implementation strategies used by some local campus IT managers in educational institutions in the United States to secure the IoT environment. The participants were 10 IT local campus IT managers within educational institutions across …

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Denial Of Service Attacks: Difference In Rates, Duration, And Financial Damages And The Relationship Between Company Assets And Revenues, Abebe Gebreyes Jan 2020

Denial Of Service Attacks: Difference In Rates, Duration, And Financial Damages And The Relationship Between Company Assets And Revenues, Abebe Gebreyes

Walden Dissertations and Doctoral Studies

AbstractDenial-of-service/distributed denial-of-service (DoS) attacks on network connectivity are a threat to businesses that academics and professionals have attempted to address through cyber-security practices. However, currently there are no metrics to determine how attackers target certain businesses. The purpose of this quantitative study was to address this problem by, first, determining differences among business sectors in rates and duration of attacks and financial damages from attacks and, second, examining relationship among assets and/or revenues and duration of attacks and financial damages. Cohen and Felson's routine activity theory and Cornish and Clarke's rational choice theory served as frameworks as they address the …

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Exploration Of Ehr Implementation Strategies: A Qualitative Study, Scot Eric Loerch Jan 2020

Exploration Of Ehr Implementation Strategies: A Qualitative Study, Scot Eric Loerch

Walden Dissertations and Doctoral Studies

AbstractElectronic health record system implementations have a high failure rate when properly developed strategies are not used. These implementation failures affect healthcare workers and practitioners core roles through a lack of documentation practices, which decreases the quality of the care of the patients. Grounded in the technology acceptance model, the purpose of this qualitative multiple case study was to explore the strategies information technology systems engineers use for the implementation of Health Information Management Systems. The participants were 10 information technology systems engineers from three healthcare organizations in the greater Tennessee area. The data were collected through recorded participant interviews …

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Information Technology Strategies Automotive Retailers Use To Improve Customer Retention, Alexious Mulemba Jan 2020

Information Technology Strategies Automotive Retailers Use To Improve Customer Retention, Alexious Mulemba

Walden Dissertations and Doctoral Studies

Business managers in the automotive retail industry face challenges in retaining customers in sales operations. Automotive business managers' failure to retain customers negatively affects sales, revenue, and sustainable business performance. Grounded in expectation-confirmation theory, the purpose of this qualitative multiple case study was to explore the IT strategies some business managers use in the automotive retail industry to retain customers. The participants comprised 4 business managers from 2 automotive retail dealerships in the Western Region of Saudi Arabia, who used IT strategies to retain customers. Data were collected from semistructured interviews, interview notes, and company documents. Four themes emerged: customer …

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A Secure And Strategic Approach To Keep Iot Devices Safe From Malware Attack, Christopher Ray Murray Jan 2020

A Secure And Strategic Approach To Keep Iot Devices Safe From Malware Attack, Christopher Ray Murray

Walden Dissertations and Doctoral Studies

Through the advances in technology, businesses can now utilize the Internet of Things (IoT) devices to improve workflow and provide better services to customers. However, without a strategy to secure these devices, Information Technology (IT) security professionals are left with vulnerable equipment. Grounded in routine activities theory, the purpose of this qualitative multiple case study was to determine strategies IT security professionals used to protect IoT devices in their environment. The participants were 6 IT professionals from 2 medium to large size healthcare facilities based in the Buffalo, New York, and the Washington D.C. area, who possessed strategies to protect …

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The Perceptions And Lived Experiences Of Female Students In A Computer Science Program At A Community College, Terry Voldase Jan 2020

The Perceptions And Lived Experiences Of Female Students In A Computer Science Program At A Community College, Terry Voldase

Walden Dissertations and Doctoral Studies

America's higher education institutions have aligned computer science curricula with today's modern technology. Despite these efforts, data have shown that there is slow growth among young women majoring in computer science and even slower growth in this area at community colleges. Higher education institutions have also acknowledged a gap between men and women entering the computer science field and a need to explore options for computer science programs to engage women in the industry. The purpose of this phenomenological study was to gain an understanding of the perceptions and lived experiences of female students enrolled in computer classes at New …

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Cybersecurity Using Risk Management Strategies Of U.S. Government Health Organizations, Ian Cornelius Wilkinson Jan 2020

Cybersecurity Using Risk Management Strategies Of U.S. Government Health Organizations, Ian Cornelius Wilkinson

Walden Dissertations and Doctoral Studies

Seismic data loss attributed to cybersecurity attacks has been an epidemic-level threat currently plaguing the U.S. healthcare system. Addressing cyber attacks is important to information technology (IT) security managers to minimize organizational risks and effectively safeguard data from associated security breaches. Grounded in the protection motivation theory, the purpose of this qualitative multiple case study was to explore risk-based strategies used by IT security managers to safeguard data effectively. Data were derived from interviews of eight IT security managers of four U.S. government health institutions and a review of relevant organizational documentation. The research data were coded and organized to …

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