Technology and Innovation Commons^™

Stock Trend Prediction Using Candlestick Charting And Ensemble Machine Learning Techniques With A Novelty Feature Engineering Scheme, Yaohu Lin, Shancun Liu, Haijun Yang, Harris Wu

Information Technology & Decision Sciences Faculty Publications

Stock market forecasting is a knotty challenging task due to the highly noisy, nonparametric, complex and chaotic nature of the stock price time series. With a simple eight-trigram feature engineering scheme of the inter-day candlestick patterns, we construct a novel ensemble machine learning framework for daily stock pattern prediction, combining traditional candlestick charting with the latest artificial intelligence methods. Several machine learning techniques, including deep learning methods, are applied to stock data to predict the direction of the closing price. This framework can give a suitable machine learning prediction method for each pattern based on the trained results. The investment …

Understanding The Nature Of Non-Profit Incubators With Other Sector Incubators In The Founding Of Social Change Organisations By Social Entrepreneurs, Jesus N. Valero, Marina Saitgalina, Rachel A. Black

School of Public Service Faculty Publications

Incubators have been studied extensively in the private sector, such as those that engage in technological innovation or growing small businesses. The scholarship has not sufficiently explored the efforts of incubators in the nonprofit sector that help create programs supporting, mentoring, and cultivating social entrepreneurs. There are numerous documented cases of nonprofit organizations establishing initiatives that help motivated entrepreneurs achieve social change; but research is lagging in developing a systematic understanding of these effort’s impact, and the factors associated with the success of nonprofit initiatives that support social entrepreneurs. This paper seeks to understand the nature of nonprofit organizations that …

Hidden Markov Model And Cyber Deception For The Prevention Of Adversarial Lateral Movement, Md Ali Reza Al Amin, Sachin Shetty, Laurent Njilla, Deepak K. Tosh, Charles Kamhoua

Computational Modeling & Simulation Engineering Faculty Publications

Advanced persistent threats (APTs) have emerged as multi-stage attacks that have targeted nation-states and their associated entities, including private and corporate sectors. Cyber deception has emerged as a defense approach to secure our cyber infrastructure from APTs. Practical deployment of cyber deception relies on defenders' ability to place decoy nodes along the APT path optimally. This paper presents a cyber deception approach focused on predicting the most likely sequence of attack paths and deploying decoy nodes along the predicted path. Our proposed approach combines reactive (graph analysis) and proactive (cyber deception technology) defense to thwart the adversaries' lateral movement. The …

Generic Design Methodology For Smart Manufacturing Systems From A Practical Perspective. Part Ii—Systematic Designs Of Smart Manufacturing Systems, Zhuming Bi, Wen-Jun Zhang, Chong Wu, Chaomin Luo, Lida Xu

Information Technology & Decision Sciences Faculty Publications

In a traditional system paradigm, an enterprise reference model provides the guide for practitioners to select manufacturing elements, configure elements into a manufacturing system, and model system options for evaluation and comparison of system solutions against given performance metrics. However, a smart manufacturing system aims to reconfigure different systems in achieving high-level smartness in its system lifecycle; moreover, each smart system is customized in terms of the constraints of manufacturing resources and the prioritized performance metrics to achieve system smartness. Few works were found on the development of systematic methodologies for the design of smart manufacturing systems. The novel contributions …

Inventions Of Scientists, Engineers And Specialists From Different Countries In The Area Of Nanotechnologies. Part V, Leonid A. Ivanov, Li D. Xu, Konstantin E. Razumeev, Valentina M. Feoktistova, Petr S. Prokopiev

Information Technology & Decision Sciences Faculty Publications

Introduction. Advanced technologies impress people's imagination demonstrating the latest achievements (materials, methods, systems, technologies, devices etc.) that dramatically change the world. This, first of all, concerns nanotechnological inventions designed by scientists, engineers and specialists from different countries. Main part. The article provides an abstract overview of inventions of scientists, engineers and specialists from different countries: Russia, USA, China, Belarus, Italy. The results of the creative activity of scientists, engineers and specialists, including inventions in the field of nanotechnology and nanomaterials allow, when introduced to industry, achieving a significant effect in construction, housing and communal services, and related sectors of the …

Ranking Influential Nodes Of Fake News Spreading On Mobile Social Networks, Yunfei Xing, Xiwei Wang, Fang-Kwei Wang, Yang Shi, Wu He, Haowu Chang

Information Technology & Decision Sciences Faculty Publications

Online fake news can generate a negative impact on both users and society. Due to the concerns with spread of fake news and misinformation, assessing the network influence of online users has become an important issue. This study quantifies the influence of nodes by proposing an algorithm based on information entropy theory. Dynamic process of influence of nodes is characterized on mobile social networks (MSNs). Weibo (i.e., the Chinese version of microblogging) users are chosen to build the real network and quantified influence of them is analyzed according to the model proposed in this paper. MATLAB is employed to simulate …

Are There Differences In Music Preferences Following Major Events?, Ian A. Grant

Honors Theses and Capstones

No abstract provided.

Co2 Reduction Measures In The Aviation Industry: Current Measures And Outlook, Florian Mathys, P. Wild, J. Wang

International Journal of Aviation, Aeronautics, and Aerospace

This article gives a holistic overview of the current CO₂ reduction measures and analyses the effectiveness of measures that are feasible for implementation in the future. To achieve the objectives of the Paris Agreement, the aviation industry needs to implement reduction measures because of its forecasted growth and contribution to global warming. The focus is set on CO₂ reduction measures, categorized in technology, operations, infrastructure/air traffic management (ATM), and market-based measures. The most promising long-term technologies to reduce CO₂ emissions are hydrogen-powered aircrafts and sustainable aviation fuels (SAF). In terms of operations, CO₂ emissions can be …

Using Sequential Mixed Methods To Evaluate The Contribution Of Absorptive Capacity (Acap), Anthony Paul Buckley, Francis Martin Behan

Conference papers

How might Absorptive Capacity (ACAP) (Cohen & Levinthal 1990,,Song et al. 2018) contribute to indigenous firm innovation and growth and how might the effects of this construct be evaluated at both firm and policy level? This paper demonstrates how a mixed methods research design and data analysis strategy can address the research question outlined above. Within the ‘mixed methods’ research genre, the design approach argued for here is for a ‘sequential mixed methods research’ approach. This is where one methodology is followed sequentially by another to add robustness to the overall findings from a study. The approach can also be …

Best Used-Car Selling Service In Us, Sirisha Pola, Jennifer Wagner, Fenny Jin, Pallavi Gusain, Alfonso Herrero

Engineering and Technology Management Student Projects

During the Covid-19 pandemic, a shift in the way people do things has been seen across many different industries, the automobile industry is not the exception, new car production and distribution has decreased based on the restrictions placed by many countries to ensure the safety of its citizens, this has made it quite difficult on the new car dealerships, in addition, people are seeing that the need for a car has gone down significantly since working from home has become a more and more common. However, there is a sector of the automotive industry that is having a boom, used …

Hdm Model For Assessing The Readiness/Optimization Of Restaurant Delivery Systems, Moise Degand, Duane Murray, Yaya Sirimongkarakorn, Mohammed Thawab, Mohammed Zaid

Engineering and Technology Management Student Projects

This paper assesses the readiness and the optimization of restaurant delivery systems. The restaurant industry has suffered a lot economically during this past year. Several restaurants didn’t survive the pandemic and others still are still struggling to remain open due to local and federal laws preventing gathering in a restaurant. To survive during this pandemic, restaurants will need to pivot and change their day to day business operations. Two surveys research were conducted based on our initial Hierarchical Decision model’s category containing safety, quality, service, economics. One survey was sent to a few restaurant owners and the other was sent …

Strategic Analysis Of Mirror: The Gym, Neeti Verma

Engineering and Technology Management Student Projects

The home gym equipment market has many local and global manufacturers competing for a higher market share. The market for gym equipment has traditionally been composed of commercial fitness facilities, hotels, and offices. The home equipment market has been rising amid COVID-19 pandemic. There have been a few new entrants with high technology in the home gym equipment market.

This paper looks at one such company and performs a strategic analysis of its product and would analyze the strategies used by the company to gain market share, performs external on the industry, and tries to propose a path forward for …

Competitiveness Of Mexico In The Technological Innovation Sector: An Assessment Of The Patents Granted By Mexican Government, Angel Contreras Cruz

Engineering and Technology Management Student Projects

This paper reviewed the existing literature regarding competitiveness in the technological innovation sector in Mexico. The gaps in the literature were found, and, later, these gaps aided the guidelines of this research. This paper is organized as follows. Section 2 provides a comprehensive literature review in the Mexican context and international context. Section 3 describes aspects of competitiveness in Mexico and the role of R&D organizations and universities related to patent activity. Section 4 covers how the patenting system works in Mexico and provides a description of the Mexican patent system. Section 5 explains the methodology used for this research. …

The Impact Of Effective Leadership In Cross-Functional New Product Development Virtual Teams, Obianuju Obiano

Engineering and Technology Management Student Projects

The emergence of covid-19 has forced a lot of companies to move to virtual remote work. New product development cross-functional teams who meet often or few times in a year are now compelled to transition fully into virtual remote workplace. The question is how they can function effectively with maximum performance as they did in the traditional environment. This paper's main objective of this paper is to investigate and understand how effective leadership management can influence performance, conflict, and knowledge sharing while enhancing cross-functional new product development virtual teams. An in-depth analysis of literature has been conducted in this to …

Strategic Management Of Digital Contact Tracing Technologies: Covid-19 And Singapore, Yaya Sirimongkarakorn

Engineering and Technology Management Student Projects

The emergence of the COVID-19 virus and global health pandemic has sparked a rapid need for new digital solutions. Singapore took a strategic lead by paving the path towards innovating digital contact tracing (DCT) technologies to contain the spread of the virus. The nation’s expedited response and model for DCT has shown to be one that many countries can take example from, regardless of experiencing hurdles in gaining sufficient user uptake initially. The concerns surrounding data security and privacy has fueled the movement for DCT technologies. With the vast majority of the population being involved, many aspects need to be …

From Truth To Trust: The Impact Of Blockchain Traceability On Trust In Product Authenticity, Frank Betz

Theses and Dissertations

In the global marketplace, customers are increasingly unaware of the source, provenance, and authenticity of products. Early research has shown that the introduction of blockchain technology into the supply chain area can make it more transparent and trustworthy. As a platform that supports distributed, cryptographically secure, auditable transactions, blockchain has expanded from the domain of digital cryptocurrency into the domain of physical asset provenance and ownership tracking and tracing. This research examines blockchain support of trust in product authenticity adopting a two-paper dissertation format. In the first conceptual paper, I develop a conceptual framework on blockchain technology's unique features and …

Adoption Of Ai-Enabled Technology: Taking The Bad With The Good, George Dagliyan

Theses and Dissertations

From autonomous vehicles to smart home assistants and telemedicine, artificial intelligence enabled (AI-enabled) technologies are increasingly available in the market. Consumers are saddled between the benefits and the risks of these new technologies, yet prior research has not accounted for the coexistence of inhibitory and faciliatory factors and how they affect intentions to use AI-enabled technology. The current research introduces a conceptual model to address these relationships and integrates the role of subjective ambivalence and brand trust. The model was tested using structural equation modeling with a cross sectional survey of U.S. consumers across three distinct categories of AI: autonomous …

Public Perceptions Of Hydrogen As An Energy Vector And Aid To Decarbonisation In The Republic Of Ireland, Colm Delaney

Masters

In the face of global commitments to decarbonise society by 2050, there is growing excitement surrounding the potential of hydrogen to emerge as a solution to many decarbonisation challenges. A transition to hydrogen as an energy vector in place of fossil fuels such as natural gas will require a significant transformation of existing energy policy, infrastructure, and regulations. While the technical aspects of a potential transition to hydrogen as an energy vector are undergoing large scale research, much of which is moving into the trial phase, it is widely presumed that a transition would be met with the widespread acceptance …

Cryptocurrency And The State: An Unholy Alliance, Lee Reiners

Faculty Scholarship

This article contextualizes the rise of cryptocurrency within the historical relationship between money and the state. It begins by asking two simple yet critical questions: What is money and where did it come from? Armed with the answers, the article proceeds by taking a fresh look at cryptocurrency through the lens of the credit theory of money. It finds that cryptocurrency, by using new technologies and incentive-based design, attempts to overcome the previous geographic limitations that hindered broad adoption of private currencies. Even with these innovations, cryptocurrency appeared unlikely to challenge the supremacy of sovereign money until Facebook announced the …

Perceive It Or Not: Information Quality And The Investors’ Response To Earning Surprises Of Technologically Advanced Companies, Aliza Rotenstein, David Gelb, Abraham Fried, Shoshana Altschuller

Journal of International Technology and Information Management

One of the primary measures of information systems (IS) success that has been the subject of much investigation in a variety of contexts is information quality (DeLone & McLean, 1992; 2003). This paper hones in on the impact of perceived information quality in the context of the financial markets, where quality of accounting information is particularly important, as it informs investment decisions and impacts stock prices. In particular, seminal accounting research has consistently found that earnings announcements possess informational value (information content) based upon which the market reacts (Beaver, 1968). Market reaction to surprises in earnings announcements has long been …