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Articles 361 - 390 of 1218
Full-Text Articles in Business
Optimization Model For Maintenance Planning Of Loading Equipment In Open Pit Mines, Farshid Javadnejad, Mohammad Reza Sharifi, Mohammad Hossein Basiri, Bakhtiar Ostadi
Optimization Model For Maintenance Planning Of Loading Equipment In Open Pit Mines, Farshid Javadnejad, Mohammad Reza Sharifi, Mohammad Hossein Basiri, Bakhtiar Ostadi
Engineering Management & Systems Engineering Faculty Publications
Maintenance plays a significant role in operating costs in the mining industry. Improving this matter controls maintenance costs and enhances productivity and production effectively. Shovels are one of the most widely used loading machines in non-continuous activities. Thus, evaluating and optimizing their availability is one of the essential solutions to achieving high productivity and cost reduction. This paper presents a mathematical programming model to maximize availability and minimize the total expected costs. We programmed the proposed nonlinear planning model using the Symbiotic Organisms Search (SOS) meta-heuristic algorithm in Matlab software. It determines the optimal maintenance intervals for different parts of …
Global Value Chain Embeddedness, Digital Economy And Green Innovation- Evidence From Provincial-Level Regions Of China, Hui Pan, Ji Yang, Haiyang Zhou, Xianrong Zheng, Feng Hu
Global Value Chain Embeddedness, Digital Economy And Green Innovation- Evidence From Provincial-Level Regions Of China, Hui Pan, Ji Yang, Haiyang Zhou, Xianrong Zheng, Feng Hu
Information Technology & Decision Sciences Faculty Publications
With globalization and digitalization, participating in Global Value Chain (GVC) and developing digital economy have had a profound impact, which transforms China’s economy into a green and innovative one. This paper studies the intrinsic influential mechanism of GVC embeddedness and digital economy on green innovation and proposes some research hypotheses. Based on panel data of 30 Chinese provinces from 2002 to 2016, we constructed some core indicators such as GVC embeddedness, digital economy and green innovation. The ordinary panel model and spatial panel model are used to empirically test the impact of GVC embeddedness and digital economy on China’s green …
The Effect Of Touch Simulation In Virtual Reality Shopping, Ha Kyung Lee, Namhee Yoon, Dooyoung Choi
The Effect Of Touch Simulation In Virtual Reality Shopping, Ha Kyung Lee, Namhee Yoon, Dooyoung Choi
STEMPS Faculty Publications
This study aims to explore the effect of touch simulation on virtual reality (VR) store satisfaction mediated by VR shopping self-efficacy and VR shopping pleasure. The moderation effects of the autotelic and instrumental need for touch between touch simulation and VR store satisfaction are also explored. Participants wear a head-mounted display VR device (Oculus Go) in a controlled laboratory environment, and their VR store experience is recorded as data. All participants’ responses (n = 58) are analyzed using SPSS 20.0 for descriptive statistics, reliability analysis, exploratory factor analysis, and the Process macro model analysis. The results show that touch simulation …
China Inc. And The World's Response, Shaomin Li
China Inc. And The World's Response, Shaomin Li
Management Faculty Publications
This article is based on the author’s new book, China, Inc.: How the Chinese Communist Party Transformed China into a Giant Corporation (Cambridge University Press, 2022). The author argues that leveraging its absolute power, low human rights advantage, and tolerance by other countries, the Chinese Communist Party has transformed China into a giant corporation. Living, working, and investing are not rights but privileges granted by the party. The party is the management of China, Inc., with the politburo standing committee as the board of directors and the party’s general secretary as the CEO. The various ministries are the functional departments …
Coastal Housing Recovery In A Postdisaster Environment: A Supply Chain Perspective, Rafael Diaz, Joshua Behr, Beatriz Acerp
Coastal Housing Recovery In A Postdisaster Environment: A Supply Chain Perspective, Rafael Diaz, Joshua Behr, Beatriz Acerp
VMASC Publications
In coastal cities, the damage stemming from hurricanes and severe tropical storms may reduce housing stock. Accelerating the reconstruction of housing stock becomes crucial in minimizing the time that residents are displaced. It is critical to understand how to better coordinate all available resources for an effective and balanced reconstruction where nongovernmental organizations (NGOs), government agencies, volunteers, and many other complex resources converge. This study combines Monte Carlo and beta models to assess supply, costs, and recovery times. The models capture the immediate and long-term costs of reconstruction activities under highly uncertain conditions using embedded stochastic components on projected materials, …
Development Of A Framework To Support Informed Shipbuilding Based On Supply Chain Disruptions, Katherine Smith, Rafael Diaz, Yuzhong Shen
Development Of A Framework To Support Informed Shipbuilding Based On Supply Chain Disruptions, Katherine Smith, Rafael Diaz, Yuzhong Shen
VMASC Publications
In addition to stresses induced by the Covid-19 pandemic, supply chains worldwide have been growing more complex while facing a continuous onslaught of disruptions. This paper presents an analysis and extension of a graph based model for modeling and simulating the effects of such disruptions. The graph based model combines a Bayesian network approach for simulating risks with a network dependency analysis approach for simulating the propagation of disruptions through the network over time. The initial analysis provides evidence supporting extension to for using a multi-layered approach allowing for the inclusion of cyclic features in supply chain models. Initial results …
Leveraging Maching Learning In Financial Fraud Forensics In The Age Of Cybersecurity, Md. Ariful Haque, Sachin Shetty
Leveraging Maching Learning In Financial Fraud Forensics In The Age Of Cybersecurity, Md. Ariful Haque, Sachin Shetty
VMASC Publications
Financial sectors are lucrative cyber-attack targets because of their immediate financial gain. As a result, financial institutions face challenges in developing systems that can automatically identify security breaches and separate fraudulent transactions from legitimate transactions. Today, organizations widely use machine learning techniques to identify any fraudulent behavior in customers' transactions. However, machine learning techniques are often challenging because of financial institutions' confidentiality policy, leading to not sharing the customer transaction data. This chapter discusses some crucial challenges of handling cybersecurity and fraud in the financial industry and building machine learning-based models to address those challenges. The authors utilize an open-source …
Instructional Design Learners Make Sense Of Theory: A Collaborative Autoethnography, Holly Fiock, Sally Meech, Mohan Yang, Yishi Long, Tadd Farmer, Nathan Hilliard, Adrie A. Koehler, Zui Cheng
Instructional Design Learners Make Sense Of Theory: A Collaborative Autoethnography, Holly Fiock, Sally Meech, Mohan Yang, Yishi Long, Tadd Farmer, Nathan Hilliard, Adrie A. Koehler, Zui Cheng
STEMPS Faculty Publications
Understanding theory is essential to instructional design (ID) research and practice; however, novice designers struggle to make sense of instructional design theory due to its abstract and complex nature, the inconsistent use of theoretical terms and concepts within literature, and the dissociation of theory from practice. While these challenges are generally understood, little is known about the sensemaking process of learners as they encounter these challenges in pursuit of deeper theoretical understanding. Using a collaborative autoethnographic approach, six ID learners investigated their sensemaking experience within an advanced ID theory course. Autoethnography, a form of qualitative research, focuses on self-reflection “to …
Improving Arts Management/Marketing Efficiency: Optimizing Utilization Of Scarce Resources To Produce Artistic Outputs, Theresa A. Kirchner, Linda L. Golden, Patrick L. Brockett
Improving Arts Management/Marketing Efficiency: Optimizing Utilization Of Scarce Resources To Produce Artistic Outputs, Theresa A. Kirchner, Linda L. Golden, Patrick L. Brockett
Marketing Faculty Publications
Purpose
This longitudinal research examines US symphony orchestra sector organizations to determine individual efficiencies in allocating resources (donations, governmental/private funding, etc.) for desirable outputs (concerts, educational programs, community outreach). It provides researchers and managers with a tool for identifying, assessing and mitigating organizational inefficiencies.
Design/methodology/approach
This study assesses relative efficiencies in performing arts organizations using Data Envelopment Analysis (DEA), a widely-used nonparametric data-intensive benchmarking technique that determines an optimal “production frontier” of best-practice organizations among their peers and assesses their abilities to turn multivariate inputs into multivariate desired outputs.
Findings
This analysis highlights efficiency differences in a wide range of …
Civiic: Cybercrime In Virginia: Impacts On Industry And Citizens Final Report, Randy Gainey, Tancy Vandecar-Burdin, Jay Albanese, Thomas Dearden, James Hawdon, Katalin Parti
Civiic: Cybercrime In Virginia: Impacts On Industry And Citizens Final Report, Randy Gainey, Tancy Vandecar-Burdin, Jay Albanese, Thomas Dearden, James Hawdon, Katalin Parti
Sociology & Criminal Justice Faculty Publications
[First paragraph] Victimization from cybercrime is a major concern in Virginia, the US, and the world. As individuals and businesses spend more time online, it becomes increasingly important to understand cybercrime and how to protect against it. Such an understanding is dependent on valid and reliable baseline data that identifies the specific nature, extent, and outcomes of cybercrime activity. A better understanding of cybercrime activity is needed to target and prevent it more effectively, minimize its consequences, and provide support for both individual and corporate victims. Before that can occur, however, better baseline data are required, and this project was …
A Human Factors Study Of Risk Management Of Complex Agile Scrum Projects In Large Enterprises, Ravi Kalluri
A Human Factors Study Of Risk Management Of Complex Agile Scrum Projects In Large Enterprises, Ravi Kalluri
Engineering Management & Systems Engineering Faculty Publications
Agile Project Management methods have gained phenomenal success in the IT software world in managing projects of high complexity and uncertainty. However, Agile projects come with their unique set of risks. This paper seeks to explore the risks posed by human factors to complex Agile Scrum projects in large enterprises. Project Risk Management is crucial in determining the future performance of a complex project. Increasing project complexity makes it more and more difficult to anticipate potential events that could affect the project and to make effective decisions to reduce project risk exposure. This is even more true for Agile projects …
Modeling Joint Survival Probabilities Of Runs Scored And Balls Faced In Limited Overs Cricket Using Copulas, Lochana K. Palayangoda, Hasika W. Senevirathne, Ananda B. Manage
Modeling Joint Survival Probabilities Of Runs Scored And Balls Faced In Limited Overs Cricket Using Copulas, Lochana K. Palayangoda, Hasika W. Senevirathne, Ananda B. Manage
Mathematics & Statistics Faculty Publications
In limited overs cricket, the goal of a batsman is to score a maximum number of runs within a limited number of balls. Therefore, the number of runs scored and the number of balls faced are the two key statistics used to evaluate the performance of a batsman. In cricket, as the batsmen play as pairs, having longer partnerships is also key to building strong innings. Moreover, having a steady opening partnership is extremely important as a team aims to build such a stronger innings. In this study, we have shown a way to evaluate the performance of opening partnerships …
Artists As Assets: Labor And Capital In The Unity Asset Store, D'An Knowles Ball
Artists As Assets: Labor And Capital In The Unity Asset Store, D'An Knowles Ball
English Faculty Publications
The Unity Asset Store sells amateur designers and artists a promise of being able to participate in an idealized, rationalized vision of how the game design industry operates. However, the Unity Asset Store depends on marketing the content created by amateur artists in ways that require the artists to essentially package their work as labor and to mask their role as artists. This essay views labor and capital in the Unity Asset Store through a Marxist lens, informed by Kline, Dyer-Witheford, and de Peuter's (2003) model of technological, cultural, and marketing forces as "three circuits of interactivity" in the mediatized …
Collecting Samples From Online Services: How To Use Screeners To Improve Data Quality, Aaron D. Arndt, John B. Ford, Barry J. Babin, Vinh Luong
Collecting Samples From Online Services: How To Use Screeners To Improve Data Quality, Aaron D. Arndt, John B. Ford, Barry J. Babin, Vinh Luong
Marketing Faculty Publications
Increasingly, marketing and consumer researchers rely on online data collection services. While actively-managed data collection services directly assist with the sampling process, minimally-managed data collection services, such as Amazon’s Mechanical Turk (MTurk), leave researchers solely responsible for recruiting, screening, cleaning, and evaluating responses. The research reported here proposes a 2 × 2 framework based on sampling goal and methodology for screening and evaluating the quality of online samples. By sampling goals, screeners can be categorized as selection, which involves matching the sample with the targeted population; or as accuracy, which involves ensuring that participants are appropriately attentive. By …
The Role Of Response Efficacy And Risk Aversion In Promoting Compliance During Crisis, Veronica L. Thomas, Hooman Mirahmad, Grace Kemper
The Role Of Response Efficacy And Risk Aversion In Promoting Compliance During Crisis, Veronica L. Thomas, Hooman Mirahmad, Grace Kemper
Marketing Faculty Publications
This research examines consumers' compliance with behaviors that focus on preventing the spread of COVID‐19. Drawing on Protection Motivation Theory and research on efficacy, we find that, during a pandemic, consumers who have higher perceptions of response efficacy are less likely to engage in risky consumption behaviors (Study 1) and more likely to engage in protective consumption behaviors (Study 2). This effect is moderated by risk aversion, such that as risk aversion increases, COVID‐compliant behaviors increase even when consumers do not believe in their ability to effectuate change. Further, the relationship between response efficacy and COVID‐compliant behaviors is mediated by …
Search, Technology Choice, And Unemployment, Constantine Angyridis, Haiwen Zhou
Search, Technology Choice, And Unemployment, Constantine Angyridis, Haiwen Zhou
Economics Faculty Publications
Technology variations among countries account for a significant part of their income differences. In this paper, a firm's technology choice is embedded in a search theoretic framework for unemployment. More advanced technology is assumed to have a higher setup cost, but it is more productive. The model is tractable and the following results are derived analytically. An increase in the unemployment benefit leads to an increase in the equilibrium wage rate, giving an incentive to firms to choose a more advanced technology. Thus, this result regarding unemployment insurance in models with wage posting carries through with Nash bargaining as well. …
All-Inclusive Coral Reef Restoration: How The Tourism Sector Can Boost Restoration Efforts In The Caribbean, Macarena Blanco-Pimentel, Nicolas R. Evensen, Camilo Cortés-Useche, Johanna Calle-Triviño, Daniel J. Barshis, Victor Galván, Erika Harms, Megan K. Morikawa
All-Inclusive Coral Reef Restoration: How The Tourism Sector Can Boost Restoration Efforts In The Caribbean, Macarena Blanco-Pimentel, Nicolas R. Evensen, Camilo Cortés-Useche, Johanna Calle-Triviño, Daniel J. Barshis, Victor Galván, Erika Harms, Megan K. Morikawa
Biological Sciences Faculty Publications
Following a strong decline in the health of Caribbean coral reefs in the 1970s, disease outbreaks, overfishing, and warming events have continued to push these reefs towards a point of no return. As such, researchers and stakeholders have turned their attention to restoration practices to overcome coral recovery bottlenecks on Caribbean reefs. However, successful restoration faces many challenges, including economical and logistical feasibility, long-term stability, and biological and ecological factors yet to fully understand. The tourism sector has the potential to enhance and scale restoration efforts in the Caribbean, beyond simple financial contributions. Its strengths include long-term presence in several …
Network Orientation, Organisational Improvisation And Innovation: An Empirical Examination, Ao Zhang, Weiyong Zhang
Network Orientation, Organisational Improvisation And Innovation: An Empirical Examination, Ao Zhang, Weiyong Zhang
Information Technology & Decision Sciences Faculty Publications
In today's highly competitive world market, businesses can hardly maintain their competitiveness without strong innovation abilities. In the past, many Chinese enterprises have enjoyed success through imitation. But to continue to succeed in a global marketplace, they must develop ambidextrous innovation abilities. The resource‐based theory eloquently posits that competitive advantage is associated with different and heterogeneous resources. To obtain such resources, firms must establish an external network to acquire necessary knowledge and skills. In this paper, we develop a theoretical model linking network orientation, organisational improvisation, ambidexterity and competitive tension. We postulate that organisational improvisation has a mediating effect and …
The Online Ordering Behaviors Among Participants In The Oklahoma Women, Infants, And Children Program: A Cross-Sectional Analysis, Qi Zhang, Kayoung Park, Junzhou Zhang, Chuanyi Tang
The Online Ordering Behaviors Among Participants In The Oklahoma Women, Infants, And Children Program: A Cross-Sectional Analysis, Qi Zhang, Kayoung Park, Junzhou Zhang, Chuanyi Tang
Community & Environmental Health Faculty Publications
The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) is a nutrition assistance program in the United States (U.S.). Participants in the program redeem their prescribed food benefits in WIC-authorized grocery stores. Online ordering is an innovative method being pilot-tested in some stores to facilitate WIC participants' food benefit redemption, which has become especially important in the COVID-19 pandemic. The present research aimed to examine the online ordering (OO) behaviors among 726 WIC households who adopted WIC OO in a grocery chain, XYZ (anonymous) store, in Oklahoma (OK). These households represented approximately 5% of WIC households who redeemed …
Artificial Empathy In Marketing Interactions: Bridging The Human-Ai Gap In Affective And Social Customer Experience, Yuping Liu-Thompkins, Shintaro Okazaki, Hairong Li
Artificial Empathy In Marketing Interactions: Bridging The Human-Ai Gap In Affective And Social Customer Experience, Yuping Liu-Thompkins, Shintaro Okazaki, Hairong Li
Marketing Faculty Publications
Artificial intelligence (AI) continues to transform firm-customer interactions. However, current AI marketing agents are often perceived as cold and uncaring and can be poor substitutes for human-based interactions. Addressing this issue, this article argues that artificial empathy needs to become an important design consideration in the next generation of AI marketing applications. Drawing from research in diverse disciplines, we develop a systematic framework for integrating artificial empathy into AI-enabled marketing interactions. We elaborate on the key components of artificial empathy and how each component can be implemented in AI marketing agents. We further explicate and test how artificial empathy generates …
Green Advertising Using Sick-, Well-, And Healed-Appeals, Dooyoung Choi, Ha Kyung Lee
Green Advertising Using Sick-, Well-, And Healed-Appeals, Dooyoung Choi, Ha Kyung Lee
STEMPS Faculty Publications
The purpose of this study was to examine the effects of sick, well, and healed appeals while examining the interaction effect of the saliency of environmental issues in the fashion industry on consumer responses. A 3 x 2 experimental study was conducted with the appeals (sick vs. well vs. healed appeals) and the salience for environmental issues in fashion (low vs. high) as independents and positive and negative anticipated emotions as mediators, leading to purchase intentions. A total of 195 usable responses were collected through MTurk. While all appeals worked well with consumers with high saliency through anticipated positive emotions, …
Can I Touch The Clothes On The Screen? The Touch Effect In Online Shopping, Ha Kyung Lee, Dooyoung Choi
Can I Touch The Clothes On The Screen? The Touch Effect In Online Shopping, Ha Kyung Lee, Dooyoung Choi
STEMPS Faculty Publications
We examined the interplay effects of device types (touch vs. non-touch) and the tactile sensitivity (fur vs. woven) on the product attitudes mediated by the mental simulation for touch. The participants from MTurk were randomly assigned to one of two tactile conditions. Responses from those who used tablets (n=83, touch device) and laptops (n=96, non-touch device) were included in the analysis. The main effects of device types and tactile-sensitivity on the mental simulation for touch were significant. The interaction effect of device types and tactile sensitivity was also significant. Those participants seeing the less tactile-sensitive product showed greater mental simulation …
Employee Green Behavior: A Meta-Analysis, Ian M. Katz, Rachel S. Rauvola, Cort W. Rudolph, Hannes Zacher
Employee Green Behavior: A Meta-Analysis, Ian M. Katz, Rachel S. Rauvola, Cort W. Rudolph, Hannes Zacher
Psychology Faculty Publications
Due to climate change, the need to protect biodiversity and reduce pollution, and governmental regulations, many organizations are aiming to become more environmentally sustainable. In this context, researchers and practitioners are increasingly interested in the construct of employee green behavior (EGB). EGB has been considered by numerous empirical studies over the last two decades and its associations with demographic characteristics, individual differences, workrelated perceptions, and job attitudes. To systematically synthesize the rapidly growing literature on EGB, we conducted a meta-analysis (k = 135 independent samples; total N = 47,442 employees). Results showed positive associations between EGB and, for example, proenvironmental …
The Relationship Between Enterprise Risk Management And Cost Of Capital, Muhammad Kashif Shad, Fong-Woon Lai, Amjad Shamim, Michael Mcshane, Sheikh Muhammad Zahid
The Relationship Between Enterprise Risk Management And Cost Of Capital, Muhammad Kashif Shad, Fong-Woon Lai, Amjad Shamim, Michael Mcshane, Sheikh Muhammad Zahid
Finance Faculty Publications
This paper investigates the effect of enterprise risk management (ERM) implementation on the cost of capital (cost of debt, cost of equity, and weighted average cost of capital) for the oil and gas industry. The research is conducted using panel data analysis from 2008-2017 for 41 oil and gas companies publicly listed on the Bursa Malaysia. ERM implementation data is collected from company annual reports, while the cost of capital data is obtained from Thomson Reuters DataStream. The results indicate that an increase in the level of ERM implementation reduces the cost of capital, which we argue is one mechanism …
The Way Digitalization Is Impacting International Financial Markets: Stock Price Synchronicity, Chen Chen, M. Mahdi Moeini Gharagozloo, Layla Darougar, Lei Shi
The Way Digitalization Is Impacting International Financial Markets: Stock Price Synchronicity, Chen Chen, M. Mahdi Moeini Gharagozloo, Layla Darougar, Lei Shi
Finance Faculty Publications
This paper investigates whether and how the development level of a country's digital economy affects stock price synchronicity. The results indicate that countries with high levels of digital economy development exhibit low stock price synchronicity. Additionally, by decomposing stock price synchronicity into systematic and firm‐specific stock return variations, we find that systematic (firm‐specific) variations of stock returns decrease (increase) with the level of a country's digitalization. These findings shed light on the future trend of stock price synchronicity in financial markets around the world and support the information‐based interpretation of stock price synchronicity.
The Portfolio Advantages Of Sukuk: Dynamic Correlations Between Bonds And Sukuk, Abdullah Alfalah, Simon Stevenson, Eamonn D'Arcy
The Portfolio Advantages Of Sukuk: Dynamic Correlations Between Bonds And Sukuk, Abdullah Alfalah, Simon Stevenson, Eamonn D'Arcy
Finance Faculty Publications
The growth of the Islamic finance sector has been well-documented. One of the most booming sectors has been Sukuk. According to several past studies, non-Islamic investors' interest in Sukuk is due, at least in part, to the diversification benefits that Sukuk provides in the context of a fixed-income portfolio. This paper compares a pair between Sukuk and Bonds in the Malaysian market issued by the same issuer to have an unbiased comparison. Using unconditional correlation methodology provides an initial examination of the relationship between the matched pairs. In addition, this paper adopts the standard GARCH-DCC approach of Engle (2002). This …
Are Ceos To Blame For Corporate Failure? Evidence From Chapter 11 Filings, Rajib Chowdhury, John A. Doukas
Are Ceos To Blame For Corporate Failure? Evidence From Chapter 11 Filings, Rajib Chowdhury, John A. Doukas
Finance Faculty Publications
This study examines whether chief executive officers (CEOs) are to blame for corporate failures. Using alternative CEO managerial ability measures, we document that high-ability (low-ability) CEOs are less (more) likely to be associated with bankruptcy. We also find that reorganized firms run by high-ability incumbent CEOs experience improved financial performance after filing for Chapter 11. Firms that hire high-ability CEOs with bankruptcy experience also realize improved financial performance. Our evidence indicates that the likelihood of corporate bankruptcy is unrelated to the presence of high-ability managers and that bankruptcy does not adversely affect the post-bankruptcy careers of high-ability CEOs.
Bitcoin Selfish Mining Modeling And Dependability Analysis, Chencheng Zhou, Liudong Xing, Jun Guo, Qisi Liu
Bitcoin Selfish Mining Modeling And Dependability Analysis, Chencheng Zhou, Liudong Xing, Jun Guo, Qisi Liu
Electrical & Computer Engineering Faculty Publications
Blockchain technology has gained prominence over the last decade. Numerous achievements have been made regarding how this technology can be utilized in different aspects of the industry, market, and governmental departments. Due to the safety-critical and security-critical nature of their uses, it is pivotal to model the dependability of blockchain-based systems. In this study, we focus on Bitcoin, a blockchain-based peer-to-peer cryptocurrency system. A continuous-time Markov chain-based analytical method is put forward to model and quantify the dependability of the Bitcoin system under selfish mining attacks. Numerical results are provided to examine the influences of several key parameters related to …
Customer Gaze Estimation In Retail Using Deep Learning, Shashimal Senarath, Primesh Pathirana, Dulani Meedeniya, Sampath Jayarathna
Customer Gaze Estimation In Retail Using Deep Learning, Shashimal Senarath, Primesh Pathirana, Dulani Meedeniya, Sampath Jayarathna
Computer Science Faculty Publications
At present, intelligent computing applications are widely used in different domains, including retail stores. The analysis of customer behaviour has become crucial for the benefit of both customers and retailers. In this regard, the concept of remote gaze estimation using deep learning has shown promising results in analyzing customer behaviour in retail due to its scalability, robustness, low cost, and uninterrupted nature. This study presents a three-stage, three-attention-based deep convolutional neural network for remote gaze estimation in retail using image data. In the first stage, we design a mechanism to estimate the 3D gaze of the subject using image data …
Ready Raider One: Exploring The Misuse Of Cloud Gaming Services, Guannan Liu, Daiping Liu, Shuai Hao, Xing Gao, Kun Sun, Haining Wang
Ready Raider One: Exploring The Misuse Of Cloud Gaming Services, Guannan Liu, Daiping Liu, Shuai Hao, Xing Gao, Kun Sun, Haining Wang
Computer Science Faculty Publications
Cloud gaming has become an emerging computing paradigm in recent years, allowing computer games to offload complex graphics and logic computation to the cloud. To deliver a smooth and high-quality gaming experience, cloud gaming services have invested abundant computing resources in the cloud, including adequate CPUs, top-tier GPUs, and high-bandwidth Internet connections. Unfortunately, the abundant computing resources offered by cloud gaming are vulnerable to misuse and exploitation for malicious purposes. In this paper, we present an in-depth study on security vulnerabilities in cloud gaming services. Specifically, we reveal that adversaries can purposely inject malicious programs/URLs into the cloud gaming services …