Resume Parser And Job Search,
2022
The University of Akron
Resume Parser And Job Search, Stephan Gunawardana
Williams Honors College, Honors Research Projects
The basic goal of this project was to create a four-tier web application which would allow users to upload their personal resumes to the website, and it ultimately would parse the resume and look for keywords. Then using these keywords, it would use a job API to look for these values and ultimately display job information to the user based on their skills. While applications exist which would look for jobs based on skills, it was mostly manually inputted skills. However, with my application you can simply upload your resume to the website, and it will basically take care of …
Non-Parametric Stochastic Autoencoder Model For Anomaly Detection,
2022
Ateneo de Manila University
Non-Parametric Stochastic Autoencoder Model For Anomaly Detection, Raphael B. Alampay, Patricia Angela R. Abu
Department of Information Systems & Computer Science Faculty Publications
Anomaly detection is a widely studied field in computer science with applications ranging from intrusion detection, fraud detection, medical diagnosis and quality assurance in manufacturing. The underlying premise is that an anomaly is an observation that does not conform to what is considered to be normal. This study addresses two major problems in the field. First, anomalies are defined in a local context, that is, being able to give quantitative measures as to how anomalies are categorized within its own problem domain and cannot be generalized to other domains. Commonly, anomalies are measured according to statistical probabilities relative to the …
Whole File Chunk Based Deduplication Using Reinforcement Learning,
2022
San Jose State University
Whole File Chunk Based Deduplication Using Reinforcement Learning, Xincheng Yuan
Master's Projects
Deduplication is the process of removing replicated data content from storage facilities like online databases, cloud datastore, local file systems, etc., which is commonly performed as part of data preprocessing to eliminate redundant data that requires unnecessary storage spaces and computing power. Deduplication is even more specifically essential for file backup systems since duplicated files will presumably consume more storage space, especially with a short backup period like daily [8]. A common technique in this field involves splitting files into chunks whose hashes can be compared using data structures or techniques like clustering. In this project we explore the possibility …
Improving User Experiences For Wiki Systems,
2022
San Jose State University
Improving User Experiences For Wiki Systems, Parth Patel
Master's Projects
Wiki systems are web applications that allow users to collaboratively manage the content. Such systems enable users to read and write information in the form of web pages and share media items like videos, audios, books etc. Yioop is an open-source web portal with features of a search engine, a wiki system and discussion groups. In this project I have enhanced Yioop’s features for improving the user experiences. The preliminary work introduced new features like emoji picker tool for direct messaging system, unit testing framework for automating the UI testing of Yioop and redeeming advertisement credits back into real money. …
Exploring Implementation Strategies Of Iot Technology In Organizations: Technology, Organization, And Environment,
2022
Walden University
Exploring Implementation Strategies Of Iot Technology In Organizations: Technology, Organization, And Environment, Khanhhung Hoang Pham
Walden Dissertations and Doctoral Studies
AbstractAfter organizations successfully adopt the internet of things (IoT) technology, many corporate information technology (IT) leaders face challenges during the implementation phase. Corporate IT leaders' potential failures in implementing IoT devices may impede organizations from integrating IoT solutions and promoting business benefits. Grounded in technology-organization-environment (TOE) theory, the purpose of this qualitative, pragmatic inquiry study was to explore strategies that corporate IT leaders use to implement IoT technology in their organizations. The participants were six corporate healthcare IT leaders who successfully used implementation strategies for implementing IoT solutions for their organizations. Data were collected using semistructured interviews and industry security …
Deep Learning For Video-Grounded Dialogue Systems,
2022
Singapore Management University
Deep Learning For Video-Grounded Dialogue Systems, Hung Le
Dissertations and Theses Collection (Open Access)
In recent years, we have witnessed significant progress in building systems with artificial intelligence. However, despite advancements in machine learning and deep learning, we are still far from achieving autonomous agents that can perceive multi-dimensional information from the surrounding world and converse with humans in natural language. Towards this goal, this thesis is dedicated to building intelligent systems in the task of video-grounded dialogues. Specifically, in a video-grounded dialogue, a system is required to hold a multi-turn conversation with humans about the content of a video. Given an input video, a dialogue history, and a question about the video, the …
Examination Of Strategies To Implementing Chip-And-Personal Identification Number Credit Card Authentication Infrastructures,
2022
Walden University
Examination Of Strategies To Implementing Chip-And-Personal Identification Number Credit Card Authentication Infrastructures, Neville Arthur Gallimore
Walden Dissertations and Doctoral Studies
Chip-and-Personal Identification Number (PIN) technology is seen as a game changer in many e-commerce industries and a transformational technology in the 21st century. However, security concerns have made chip-and-PIN adoption relatively slow. Massive unauthorized card payment transactions in the United States (U.S.) cost victims an estimate totaling billions of dollars. Information Technology (IT) managers are concerned with credit card fraud's financial loss and liability cost. Grounded in Rogers’s diffusion of innovation theory, the purpose of this qualitative pragmatic study was to explore strategies used by IT managers to transition their e-commerce organizations to chip-and-PIN credit card authentication infrastructures. The participants …
Modernization Of Legacy Information Technology Systems,
2022
Walden University
Modernization Of Legacy Information Technology Systems, Rabie Khabouze
Walden Dissertations and Doctoral Studies
Large enterprises spend a large portion of their Information Technology (IT) budget on maintaining their legacy systems. Legacy systems modernization projects are a catalyst for IT architects to save cost, provide new and efficient systems that increase profitability, and create value for their organization. Grounded in sociotechnical systems theory, the purpose of this qualitative multiple case study was to explore strategies IT architects use to modernize their legacy systems. The population included IT architects in large enterprises involved in legacy systems modernization projects, one in healthcare, and one in the financial services industry in the San Antonio-New Braunfels, Texas metropolitan …
Relationship Between Vendor/Client Complementarity, Vendor Technology Maturity, Vendor Financial Stability, And It Outsourcing Project Outcomes,
2022
Walden University
Relationship Between Vendor/Client Complementarity, Vendor Technology Maturity, Vendor Financial Stability, And It Outsourcing Project Outcomes, Everton A. Wilson
Walden Dissertations and Doctoral Studies
Business and IT leaders in financial services are concerned with the limited benefits they are reaping from information technology outsourcing (ITO) projects, despite continued heavy investments in ITO. Grounded in the transaction cost, agency, and resource-based view theories, the purpose of this quantitative correlational study was to examine the relationship between vendor/client complementarity, vendor technology maturity, vendor financial stability, and ITO success. Participants were 65 business and IT leaders in financial institutions engaged in ITO projects. The result of the multiple linear regression was significant, F(3, 61) = 4.845, p = .004, R2 = .192. In the final analysis, vendor/client …
Increasing Nurse Leader Knowledge And Awareness Of Information And Communication Technologies,
2022
Walden University
Increasing Nurse Leader Knowledge And Awareness Of Information And Communication Technologies, Cory Stephens
Walden Dissertations and Doctoral Studies
Due to the recent coronavirus disease (COVID-19) pandemic, rapid technological innovation and nursing practice transformation exposed a deepening divide in the knowledge and awareness of information and communication technologies (ICT) among nurses. This technological skills gap undermines the benefits of ICT to nursing practice such as increased nurse satisfaction, improved care quality, and reduced costs. Nurse leaders are positioned to promote the use of ICT among nurses but may suffer from the same knowledge deficit of ICT as their followers. Guided by Locsin’s technological competencies as caring in nursing theory, Staggers and Parks’ nurse-computer interaction framework, and Covell’s nursing intellectual …
Strategies For Cybercrime Prevention In Information Technology Businesses,
2022
Walden University
Strategies For Cybercrime Prevention In Information Technology Businesses, Sophfronia G. Tucker
Walden Dissertations and Doctoral Studies
Cybercrime continues to be a devastating phenomenon, impacting individuals and businesses across the globe. Information technology (IT) businesses need solutions to defend and secure their data and networks from cyberattacks. Grounded in general systems theory and transformational leadership theory, the purpose of this qualitative multiple case study was to explore strategies IT business leaders use to protect their systems from a cyberattack. The participants included six IT business leaders with experience in cybersecurity or system security in the Midlands region of South Carolina. Data were collected using semistructured interviews and reviews of government standards documents; data were analyzed using thematic …
Employee Training Strategies For New Technology Implementation In Small Business,
2022
Walden University
Employee Training Strategies For New Technology Implementation In Small Business, Eddy Varela
Walden Dissertations and Doctoral Studies
Failure to implement new technology creates a barrier to success for small businesses. Small business owners must create competitive advantages by implementing new technology as there is a need to maintain an advantage when competing in the local market economy. Grounded in the human capital theory, the purpose of this qualitative multiple case study was to explore the employee training strategies small business owners use to implement new technology. The participants were five small business owners in Central Florida who used employee training strategies to implement new technologies Data were collected using (a) semistructured interviews, (b) member checking interviews, (c) …
Beyond Triplet Loss: Person Re-Identification With Fine-Grained Difference-Aware Pairwise Loss,
2022
Singapore Management University
Beyond Triplet Loss: Person Re-Identification With Fine-Grained Difference-Aware Pairwise Loss, Cheng Yan, Guansong Pang, Xiao Bai, Changhong Liu, Xin Ning, Jun Zhou
Research Collection School Of Computing and Information Systems
Person Re-IDentification (ReID) aims at re-identifying persons from different viewpoints across multiple cameras. Capturing the fine-grained appearance differences is often the key to accurate person ReID, because many identities can be differentiated only when looking into these fine-grained differences. However, most state-of-the-art person ReID approaches, typically driven by a triplet loss, fail to effectively learn the fine-grained features as they are focused more on differentiating large appearance differences. To address this issue, we introduce a novel pairwise loss function that enables ReID models to learn the fine-grained features by adaptively enforcing an exponential penalization on the images of small differences …
Contextual Documentation Referencing On Stack Overflow,
2022
Singapore Management University
Contextual Documentation Referencing On Stack Overflow, Sebastian Baltes, Christoph Treude, Martin P. Robillard
Research Collection School Of Computing and Information Systems
Software engineering is knowledge-intensive and requires software developers to continually search for knowledge, often on community question answering platforms such as Stack Overflow. Such information sharing platforms do not exist in isolation, and part of the evidence that they exist in a broader software documentation ecosystem is the common presence of hyperlinks to other documentation resources found in forum posts. With the goal of helping to improve the information diffusion between Stack Overflow and other documentation resources, we conducted a study to answer the question of how and why documentation is referenced in Stack Overflow threads. We sampled and classified …
Approximate K-Nn Graph Construction: A Generic Online Approach,
2022
Singapore Management University
Approximate K-Nn Graph Construction: A Generic Online Approach, Wan-Lei Zhao, Hui Wang, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
Nearest neighbor search and k-nearest neighbor graph construction are two fundamental issues that arise from many disciplines such as multimedia information retrieval, data-mining, and machine learning. They become more and more imminent given the big data emerge in various fields in recent years. In this paper, a simple but effective solution both for approximate k-nearest neighbor search and approximate k-nearest neighbor graph construction is presented. These two issues are addressed jointly in our solution. On one hand, the approximate k-nearest neighbor graph construction is treated as a search task. Each sample along with its k-nearest neighbors is joined into the …
A Blockchain-Based Self-Tallying Voting Protocol In Decentralized Iot,
2022
Singapore Management University
A Blockchain-Based Self-Tallying Voting Protocol In Decentralized Iot, Yannan Li, Willy Susilo, Guomin Yang, Yong Yu, Dongxi Liu, Xiaojiang Du, Mohsen Guizani
Research Collection School Of Computing and Information Systems
The Internet of Things (IoT) is experiencing explosive growth and has gained extensive attention from academia and industry in recent years. However, most of the existing IoT infrastructures are centralized, which may cause the issues of unscalability and single-point-of-failure. Consequently, decentralized IoT has been proposed by taking advantage of the emerging technology called blockchain. Voting systems are widely adopted in IoT, for example a leader election in wireless sensor networks. Self-tallying voting systems are alternatives to unsuitable, traditional centralized voting systems in decentralized IoT. Unfortunately, self-tallying voting systems inherently suffer from fairness issues, such as adaptive and abortive issues caused …
Predictive Models In Software Engineering: Challenges And Opportunities,
2022
Singapore Management University
Predictive Models In Software Engineering: Challenges And Opportunities, Yanming Yang, Xin Xia, David Lo, Tingting Bi, John C. Grundy, Xiaohu Yang
Research Collection School Of Computing and Information Systems
Predictive models are one of the most important techniques that are widely applied in many areas of software engineering. There have been a large number of primary studies that apply predictive models and that present well-performed studies in various research domains, including software requirements, software design and development, testing and debugging, and software maintenance. This article is a first attempt to systematically organize knowledge in this area by surveying a body of 421 papers on predictive models published between 2009 and 2020. We describe the key models and approaches used, classify the different models, summarize the range of key application …
Correlating Automated And Human Evaluation Of Code Documentation Generation Quality,
2022
Singapore Management University
Correlating Automated And Human Evaluation Of Code Documentation Generation Quality, Xing Hu, Qiuyuan Chen, Haoye Wang, Xin Xia, David Lo, Thomas Zimmermann
Research Collection School Of Computing and Information Systems
Automatic code documentation generation has been a crucial task in the field of software engineering. It not only relieves developers from writing code documentation but also helps them to understand programs better. Specifically, deep-learning-based techniques that leverage large-scale source code corpora have been widely used in code documentation generation. These works tend to use automatic metrics (such as BLEU, METEOR, ROUGE, CIDEr, and SPICE) to evaluate different models. These metrics compare generated documentation to reference texts by measuring the overlapping words. Unfortunately, there is no evidence demonstrating the correlation between these metrics and human judgment. We conduct experiments on two …
Kg4vis: A Knowledge Graph-Based Approach For Visualization Recommendation,
2022
Singapore Management University
Kg4vis: A Knowledge Graph-Based Approach For Visualization Recommendation, Haotian Li, Yong Wang, Songheng Zhang, Yangqiu Song, Huamin. Qu
Research Collection School Of Computing and Information Systems
Visualization recommendation or automatic visualization generation can significantly lower the barriers for general users to rapidly create effective data visualizations, especially for those users without a background in data visualizations. However, existing rule-based approaches require tedious manual specifications of visualization rules by visualization experts. Other machine learning-based approaches often work like black-box and are difficult to understand why a specific visualization is recommended, limiting the wider adoption of these approaches. This paper fills the gap by presenting KG4Vis, a knowledge graph (KG)-based approach for visualization recommendation. It does not require manual specifications of visualization rules and can also guarantee good …
Why Do Smart Contracts Self-Destruct? Investigating The Selfdestruct Function On Ethereum,
2022
Singapore Management University
Why Do Smart Contracts Self-Destruct? Investigating The Selfdestruct Function On Ethereum, Jiachi Chen, Xin Xia, David Lo, John C. Grundy
Research Collection School Of Computing and Information Systems
The selfdestruct function is provided by Ethereum smart contracts to destroy a contract on the blockchain system. However, it is a double-edged sword for developers. On the one hand, using the selfdestruct function enables developers to remove smart contracts (SCs) from Ethereum and transfers Ethers when emergency situations happen, e.g., being attacked. On the other hand, this function can increase the complexity for the development and open an attack vector for attackers. To better understand the reasons why SC developers include or exclude the selfdestruct function in their contracts, we conducted an online survey to collect feedback from them and …
