Computer Sciences Commons^™

Digital Platform Development For Performance Monitoring System In Oil And Gas Exploration And Production, Tanthai Poopaiboon

Chulalongkorn University Theses and Dissertations (Chula ETD)

The paper provides a case study to enhance the Performance Management System for Oil and Gas Exploration and Production industry. Although the system was designed for the Oil and Gas Exploration and Production industry, the paper could be applied effectively for other industries because the modern organisation mainly utilised the Key Performance Indicator (KPI) to reflect its performance. So, the paper could be applied to most organisations with minor modifications. The Advanced Performance Management System was developed systematically powered by digital transformation according to research methodology framework, including research, analysis, project development, and result measurement. The research stage is studying …

Optimal Feature Selection For Learning-Based Algorithms For Sentiment Classification, Zhaoxia Wang, Zhiping Lin

Research Collection School Of Computing and Information Systems

Sentiment classification is an important branch of cognitive computation—thus the further studies of properties of sentiment analysis is important. Sentiment classification on text data has been an active topic for the last two decades and learning-based methods are very popular and widely used in various applications. For learning-based methods, a lot of enhanced technical strategies have been used to improve the performance of the methods. Feature selection is one of these strategies and it has been studied by many researchers. However, an existing unsolved difficult problem is the choice of a suitable number of features for obtaining the best sentiment …

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 …

Aateam: Achieving The Ad Hoc Teamwork By Employing The Attention Mechanism, Shuo Chen, Ewa Andrejczuk, Zhiguang Cao, Jie Zhang

Research Collection School Of Computing and Information Systems

In the ad hoc teamwork setting, a team of agents needs to perform a task without prior coordination. The most advanced approach learns policies based on previous experiences and reuses one of the policies to interact with new teammates. However, the selected policy in many cases is sub-optimal. Switching between policies to adapt to new teammates' behaviour takes time, which threatens the successful performance of a task. In this paper, we propose AATEAM – a method that uses the attention-based neural networks to cope with new teammates' behaviour in real-time. We train one attention network per teammate type. The attention …

Coupled Rain Streak And Background Estimation Via Separable Element-Wise Attention, Yinjie Tan, Qiang Wen, Jing Qin, Jianbo Jiao, Guoqiang Han, Shengfeng He

Research Collection School Of Computing and Information Systems

Single image de-raining is challenging especially in the scenarios with dense rain streaks. Existing methods resolve this problem by predicting the rain streaks of the image, which constrains the network to focus on local rain streaks features. However, dense rain streaks are visually similar to mist or fog (with large intensities), in this case, the training objective should be shifted to image recovery instead of extracting rain streaks. In this paper, we propose a coupled rain streak and background estimation network that explores the intrinsic relations between two tasks. In particular, our network produces task-dependent feature maps, each part of …

Scalable, Adaptable And Fast Estimation Of Transient Downtime In Virtual Infrastructures Using Convex Decomposition And Sample Path Randomization, Zhiling Guo, Jin Li, Ram Ramesh

Research Collection School Of Computing and Information Systems

Network function virtualization enables efficient cloud-resource planning by virtualizing network services and applications into software running on commodity servers. A cloud-service provider needs to manage and ensure service availability of a network of concurrent virtualized network functions (VNFs). The downtime distribution of a network of VNFs can be estimated using sample-path randomization on the underlying birth–death process. An integrated modeling approach for this purpose is limited by its scalability and computational load because of the high dimensionality of the integrated birth–death process. We propose a generalized convex decomposition of the integrated birth-death process, which transforms the high-dimensional multi-VNF process into …

Structure-Priority Image Restoration Through Genetic Algorithm Optimization, Zhaoxia Wang, Haibo Pen, Ting Yang, Quan Wang

Research Collection School Of Computing and Information Systems

With the significant increase in the use of image information, image restoration has been gaining much attention by researchers. Restoring the structural information as well as the textural information of a damaged image to produce visually plausible restorations is a challenging task. Genetic algorithm (GA) and its variants have been applied in many fields due to their global optimization capabilities. However, the applications of GA to the image restoration domain still remain an emerging discipline. It is still challenging and difficult to restore a damaged image by leveraging GA optimization. To address this problem, this paper proposes a novel GA-based …

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 …

Page-Net: Interpretable And Integrative Deep Learning For Survival Analysis Using Histopathological Images And Genomic Data, Jie Hao, Sai Chandra Kosaraju, Nelson Zange Tsaku, Dae Hyun Song, Mingon Kang

Computer Science Faculty Research

The integration of multi-modal data, such as histopathological images and genomic data, is essential for understanding cancer heterogeneity and complexity for personalized treatments, as well as for enhancing survival predictions in cancer study. Histopathology, as a clinical gold-standard tool for diagnosis and prognosis in cancers, allows clinicians to make precise decisions on therapies, whereas high-throughput genomic data have been investigated to dissect the genetic mechanisms of cancers. We propose a biologically interpretable deep learning model (PAGE-Net) that integrates histopathological images and genomic data, not only to improve survival prediction, but also to identify genetic and histopathological patterns that cause different …

Dynamic Allocation/Reallocation Of Dark Cores In Many-Core Systems For Improved System Performance, Xingxing Huang, Xiaohang Wang, Yingtao Jiang, Amit Kumar Singh, Mei Yang

Electrical & Computer Engineering Faculty Research

A significant number of processing cores in any many-core systems nowadays and likely in the future have to be switched off or forced to be idle to become dark cores, in light of ever increasing power density and chip temperature. Although these dark cores cannot make direct contributions to the chip's throughput, they can still be allocated to applications currently running in the system for the sole purpose of heat dissipation enabled by the temperature gradient between the active and dark cores. However, allocating dark cores to applications tends to add extra waiting time to applications yet to be launched, …

The Trust Principles For Digital Repositories, Dawei Lin, Jonathan Crabtree, Ingrid Dillo, Robert R. Downs, Rorie Edmunds, David Giaretta, Marisa De Giusti, Hervé L'Hours, Wim Hugo, Reyna Jenkyns, Varsha Khodiyar, Maryann E. Martone, Mustapha Mokrane, Vivek Navale, Jonathan Petters, Barbara Sierman, Dina V. Sokolova, Martina Stockhause, John Westbrook

Copyright, Fair Use, Scholarly Communication, etc.

As information and communication technology has become pervasive in our society, we are increasingly dependent on both digital data and repositories that provide access to and enable the use of such resources. Repositories must earn the trust of the communities they intend to serve and demonstrate that they are reliable and capable of appropriately managing the data they hold.

Following a year-long public discussion and building on existing community consensus , several stakeholders, representing various segments of the digital repository community, have collaboratively developed and endorsed a set of guiding principles to demonstrate digital repository trustworthiness. Transparency, Responsibility, User focus, …

Cybersecurity Behavioural Model For Students In The Tertiary Institutions, Boluwatife Fatokun Faith

Student Works (2020-2029)

Humans are majorly identified as the weakest link in cybersecurity. Tertiary institution student’s face lot of cybersecurity issues due to their increased Internet exposure, however cybersecurity behavioural studies focusing on tertiary students is limited. This study focused on investigating tertiary institutions students’ cybersecurity behaviour, via validated cybersecurity factors, Perceived Vulnerability (PV); Perceived Barriers (PBr); Perceived Severity (PS); Security Self-Efficacy (SSE); Response Efficacy (RE); Cues to Action (CA); Peer Behaviour (PBhv); Computer Skills (CS); Internet Skills (IS); Prior Experience with Computer Security Practices (PE); Perceived Benefits (PBnf); and a newly added factor, Familiarity with Cyber-Threats (FCT), to explore the factors relationship …

A Study On Real-Time Database Technology And Its Applications, Geethmi Nimantha Dissanayake

Masters Theses

No abstract provided.

Strategies For Information Technology Employee Retention, Stephen Horton

Walden Dissertations and Doctoral Studies

Information technology (IT) employee retention is essential to IT departments tasked with supporting the goals and objectives of the organization. IT employees manage, support, and direct IT to drive business, pursue innovation, and create a competitive edge. The purpose of this qualitative exploratory multiple case study was to identify strategies that IT managers use to retain IT employees in order to support the goals and objectives of the IT organization. The population for this study consisted of 5 IT managers in the transportation industry. The IT managers selected for this study had subordinates and delegation duties and worked for employers …

Exploring Strategies For Recruiting And Retaining Diverse Cybersecurity Professionals, Vivian Lyon

Walden Dissertations and Doctoral Studies

The cyber threat landscape has led some cybersecurity leaders to focus on a holistic approach encompassing people, processes, and technology to make their government agencies and organizations more responsive to a more diverse and inclusive cyber workforce to protect critical infrastructure from hackers or cybercriminals intent on causing harm. This qualitative multiple case study used Schein’s organizational culture theory to explore strategies used by cybersecurity leaders to attract, recruit, and retain diverse cybersecurity professionals to effectively and efficiently protect sensitive systems from rising cyber threats. The study's population consisted of cybersecurity leaders from 3 government agencies and 9 organizations in …

Strategies For The Development Of It Disaster Recovery Plans In The Manufacturing Industry, Michael Landry Sartwell

Walden Dissertations and Doctoral Studies

Information technology (IT) leaders have reported technology disruptions because of natural disasters, terror attacks, or adversarial threats. Information technology leaders are concerned with technology disruptions, as these disruptions are costing organizations as much as $22,000 per minute. Grounded in Zachman’s framework, the purpose of this qualitative multiple case study was to explore strategies IT managers in the manufacturing industry use to develop IT disaster recovery (DR) plans to support business operations. The participants included 3 manufacturing IT professionals, 2 Department of Defense manufacturing infrastructure specialists, and 1outsourcing contractor, each from firms located in the central United States who successfully developed …

Developing Cloud Computing Infrastructures In Developing Countries In Asia, Daryoush Charmsaz Moghaddam

Walden Dissertations and Doctoral Studies

Developing Cloud Computing Infrastructures in Developing Countries in Asia

by

Daryoush Charmsaz Moghaddam

MS, Sharif University, 2005

BS, Civil Aviation Higher Education Complex, 1985

Doctoral Study Submitted in Partial Fulfillment

of the Requirements for the Degree of

Doctor of Information Technology

Walden University

March 2020

Small-To-Medium-Size Enterprise Managers’ Experiences With Cloud Computing, Anthony Effiong

Walden Dissertations and Doctoral Studies

Historically, managers of small- and medium-sized enterprises (SMEs) have had concerns regarding cloud computing and cybersecurity. Their resistance to using cloud computing has influenced their ability to do business effectively and to compete with businesses that use cloud computing. The purposes of this descriptive phenomenological study were to explore the lived experiences and perceptions of SME managers that might influence their decisions to adopt cloud computing. Watson’s concept of resistance to change and Davis, Bagozzi, and Warhaw’s technology acceptance model were the conceptual frameworks that guided this qualitative study. Data collection consisted of conducting 16 semi-structured interviews with open-ended questions …

Strategies For Implementing Successful It Security Systems In Small Businesses, Martins Donbruce Idahosa

Walden Dissertations and Doctoral Studies

Owners of small businesses who do not adequately protect business data are at high risk for a cyber attack. As data breaches against small businesses have increased, it has become a growing source of concern for consumers who rely on owners of small businesses to protect their data from data breaches. Grounded in general systems theory and routine activity approach, the focus of this qualitative multiple case study was to explore strategies used by owners of small businesses to protect confidential company data from cyber attacks. The process used for collecting data involved semistructured face-to-face interviews with 5 owners of …

Strategies For Increasing Employee Productivity In Small Technology Consulting Businesses, Dalinda Yvonne Milne

Walden Dissertations and Doctoral Studies

Unproductive employees in technology consulting small businesses negatively affect organizational output and profits. Investing in employee productivity is beneficial to ensuring an organization’s ability to improve their profits and sustainability as business leaders have an influential role in identifying and addressing the root causes of employee productivity issues in their organizations. The conceptual framework that grounded this doctoral study was Thomas Gilbert’s behavioral engineering model. The participants in this study consisted of 8 leaders in a Texas technology consulting small business with experience in increasing employee productivity. Data were collected through in-person semistructured interviews and business documents. Methodological triangulation was …

Tailored Information Security Strategies For Financial Services Companies In Nigeria, Kayode Alawonde

Walden Dissertations and Doctoral Studies

Some financial institutions in Nigeria have not deployed strategies that mitigate cyber exploitation risks in the financial services industry. Financial institution leaders are concerned because cyber exploitation contributed to the reduction in the adult banking population to a low 38%. Grounded in the integrated systems theory of information security management, the purpose of this multiple case study was to explore strategies some financial institution leaders in Nigeria use to prevent cyber exploitations. The participants included 6 chief information security officers of 6 financial institutions. Data were collected from semistructured interviews and company and public documents. A thematic analysis identified themes …

Exploring Strategies To Transition To Big Data Technologies From Dw Technologies, Mbah Johnas Fortem

Walden Dissertations and Doctoral Studies

As a result of innovation and technological improvements, organizations are now capable of capturing and storing massive amounts of data from various sources and domains. This increase in the volume of data resulted in traditional tools used for processing, storing, and analyzing large amounts of data becoming increasingly inefficient. Grounded in the extended technology acceptance model, the purpose of this qualitative multiple case study was to explore the strategies data managers use to transition from traditional data warehousing technologies to big data technologies. The participants included data managers from 6 organizations (medium and large size) based in Munich, Germany, who …

Strategies To Digitize Business Processes, Mohamed Abdelmoneim

Walden Dissertations and Doctoral Studies

Information technology leaders with limited digitization strategies are less profitable than competitors in the same industry. Without digital strategies, information technology leaders suffer from manual business processes, which results in losing business opportunities. Grounded in general systems theory, the purpose of this multiple case study was to explore the strategies that 10 IT leaders used to transform business processes digitally at four different organizations in Ireland. Data were collected using semistructured face-to-face interviews. The second data source was organizational digitization documents. The 3 themes that emerged from thematic analysis were (a) strong digital leadership competencies, (b) digitally aligned with the …

Critical Success Factors For E-Government Web Services, Mark Alpern

Walden Dissertations and Doctoral Studies

Some municipal government leaders are unable to effectively implement e-government web services, which results in poor client satisfaction. Grounded in the critical success factor theory, the purpose of this qualitative multiple case study was to explore critical success factors managers use to build quality e-government web services. The participants included 3 managers in different municipalities within Ontario, Canada, who successfully implemented e-government web services. Data were collected through semistructured interviews and the review of organizational documents. Thematic analysis was conducted using Yin's 5-step data analysis method, and 5 themes emerged: client-centric government, change management, management support, client engagement, and external …

Effective Data Analytics And Security Strategies In Internal Audit Organizations, Desiree Auchey

Walden Dissertations and Doctoral Studies

The digitization of the corporate and regulatory environment presents an opportunity for internal audit organizations to change their audit techniques and increase their value to corporations. Audit functions have not kept pace with these advancements, as evidenced by the massive frauds in recent years, and current audit methodology does not robustly incorporate analytics and security of data. Grounded in agency theory, the purpose of this qualitative case study was to explore successful strategies business leaders use to implement data analytics and security for internal auditing and fraudulent activity. The participants comprised 3 audit leaders in Pennsylvania, who effectively used data …

Strategies To Mitigate The Effects Of Identity Theft In The Hospitality Industry, Patricia Lee Jirsa

Walden Dissertations and Doctoral Studies

Leaders in the U.S. hospitality industry experience significant losses in profitability, increased mitigation cost, and reduced revenues because of business and consumer identity theft. Grounded in the fraud triangle theory and the fraud diamond theory, the purpose of this qualitative multiple-case study was to explore strategies leaders in the hospitality industry use to mitigate identity theft. A purposeful sample of 5 leaders of 5 different hospitality businesses in Montana participated in the study. Data were collected through semistructured interviews, member checking, and a review of company documents. During data analysis using Yin’s 5-step process, 3 key themes emerged: a new …

The Role Of Internet Of Things In Hotels’ Profitability, Gershwin Narraidoo

Walden Dissertations and Doctoral Studies

As consumers increase the use of smart technologies, the lack of or improper implementation of Internet of Things (IoT) systems may affect the profitability of hotel businesses. For this qualitative single case study, Porter’s value chain model was the conceptual framework. The data collection process also included direct observations, participant observations, company performance documents, and reflective journaling. Data analysis from multiple sources of data was triangulated to hoteliers revealing that the implementation of IoT systems strategies may increase profit through the use of IoT system technology. Using Yin’s 5-step process, data were coded and analyzed and produced 3 themes: offer …

Strategies To Implement Big Data Analytics In Telecommunications Organizations, Delton Aneato

Walden Dissertations and Doctoral Studies

Information Technology (IT) leaders who do not invest in big data projects may struggle to gain a competitive advantage and business insights to improve performance. Grounded in the Kotter’s change and Six Sigma models, the purpose of this qualitative multiple case study was to explore strategies IT leaders used to implement big data analytics successfully. The participants comprised 4 IT leaders from 2 telecommunication organizations in the United States of America, who effectively used strategies to promote and maximize competitive advantage using big data analytics. Data were collected from semistructured interviews, company documents, and project-related documents and were analyzed using …

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 …

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 …