Engineering Commons^™

Internet Of Things Devices Users’ Privacy Adherence: A Case Of Digital Ignorance, Akrasia Or Exhaustion?, Philip Bazanye, Walter F. Uys, Wallace Chigona

The African Journal of Information Systems

Internet of Things devices, such as those used in home automation, commercial and retail business, and smart cities, are vulnerable to attacks that affect all aspects of daily life. The upsurge in the use of IoT devices has increased the likelihood of cyber-attacks on end users. This research investigates the factors that influence IoT device users to adhere to privacy standards. This interpretivist exploratory research was guided by a three-phased approach. The interview questions were derived from the conceptual model and the constructs of Activity Theory, and themes were analyzed using deductive thematic analysis. The findings were elaborated with reference …

Pestle Analysis Of A Seaplane Transport Network In Greece, Dimitrios V. Siskos, Alexander Maravas, Jordan Karatzas

Publications

Seaplane operations connect remote areas, promote tourism, and provide unique transportation solutions. After many years of preparations, commercial seaplane operations on a network of 100 water airports and 200 waterways in Greece are about to commence. The network can serve the needs of 1.6 million permanent residents of the Greek islands, the inhabitants of the mainland, and over 35 million annual tourists. This paper aims to conduct a PESTLE (Political, Economic, Social, Technological, Legal, and Environmental) analysis to identify the factors that have delayed operations and those that will affect the success of future operations. As such, 26 factors are …

Understanding The Determinants Of Blockchain Adoption: An Empirical Study, Amarpreet Kohli, Nihar Kumthekar, Piyush Shah, Rebecca Jauch

Journal of International Technology and Information Management

Blockchain technology (BT) has the potential to enhance security and robustness of transactions through a distributed ledger bookkeeping process. This study employs technology-organization-environment (TOE) framework and threat-rigidity theory (TRT) to examine whether perceived disruption caused by COVID-19 pandemic significantly impacted the adoption of BT, and inclination to adopt BT in the US. The COVID-19 pandemic provided a unique backdrop, as it affected businesses across all industries, sizes, and geographies. Results show a non-significant effect of perceived pandemic disruption on the current stage of BT adoption and intention to adopt BT. However, disruption readiness positively influences the current stage of BT …

Comparing Vr And Tv In Nigeria And The U.S.: Impacts On Empathy, Engagement, And Enjoyment, Jinhee Yoo, Eugene A. Ohu, Radosław Mącik

Journal of International Technology and Information Management

This study (N = 170), involving participants from Nigeria and the U.S., investigated how different technologies (TV and VR) affect users' empathy (α = .93), engagement (α = .93), enjoyment (α = .93), preferences, and likelihood of technology use. Participants watched an animated documentary titled “Is Anna OK?” at two different time points, utilizing VR (Oculus Rift S) and TV, following which they completed measuring empathy, engagement, enjoyment, device preference, and usage likelihood. Analysis via one-way ANOVA and chi-square tests revealed that VR users reported significantly higher empathy and enjoyment compared to TV viewers, particularly on second viewing. Combining both …

Predicting Crises On The African Frontier Stock Markets With Investor Sentiment Indicators: A Machine Learning Approach, David Korsah, Lord Mensah

Journal of International Technology and Information Management

This study examined the predictive ability of machine learning algorithms in identifying crises within African stock markets. The study employed seven distinct machine-learning models, analyzing historical stock prices from eight stock markets, three major sentiment indicators, and the exchange rates of local currencies against the US dollar, with each data spanning from May 1, 2007, to April 1, 2023. Extreme Gradient Boosting (XGBoost) emerged as the most effective algorithm for predicting crises. Historical stock prices and exchange rates were identified as the most critical features for prediction. On the sentiment side, investors’ perceptions of potential volatility on the S&P 500, …

Predicting Global Healthcare Supply Chain Delays: A Machine Learning Approach Leveraging Country-Level Logistics Metrics, Jeevan Sai Gali, Nima Molavi, Sepideh Alavi

Journal of International Technology and Information Management

In global healthcare logistics, ensuring the timely delivery of medical commodities is critical, particularly in low- and middle-income countries characterized by infrastructural limitations and operational uncertainties. This research introduces an advanced, data-driven predictive framework designed to forecast delivery delays by synthesizing granular, internal shipment-level data from the USAID Global Health Supply Chain Program (GHSC-PSM) with external country-level logistics capabilities indicators derived from the World Bank’s Logistics Performance Index (LPI). Rather than relying on retrospective trend analyses, this study employs machine learning algorithms such as Random Forest, XGBoost, Support Vector Machines (SVM), and Multi-Layer Perceptron (MLP) to detect …

Citizen And Technology: The Core In Developing Human-Centric Smart Cities, Mohammed Ali Berawi, Mustika Sari, Perdana Miraj

CSID Journal of Infrastructure Development

As urbanization continues to grow, the development of smart cities has become a pivotal strategy for addressing the complex challenges of modern urban living. These cities harness advanced technologies like the artificial intelligence (AI), Internet of Things (IoT), and Digital Twin to optimize city operations, improve sustainability, and enhance the quality of life for their residents. However, the success of smart cities should not be measured by the sheer quantity of hardware and software implemented but rather by the quality of life they create for the people who live and work within them. In other words, smart cities must prioritize …

Analytical Study On The Intensity Of Surface Urban Heat Island (Suhi) In Kaduna State, Paul Onibaba, Kolade Victor Otokiti, Oluwabukola Grace Ademola, Temitope Mercy Akanle

CSID Journal of Infrastructure Development

Urbanization and climate change are significant drivers of rising Land Surface Temperature (LST) and the formation of Urban Heat Islands (UHIs), which have emerged as pressing environmental challenges in recent decades. This study examines the relationship between Land Use/Cover (LU/C) indices and LST in Kaduna, Nigeria, using multi-temporal Landsat imagery spanning five periods from 2001 to 2021. LST values were derived from the Landsat thermal bands, while LU/C dynamics were identified using the Maximum Likelihood Classifier algorithm. LU/C indices—including the Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-up Index (NDBI), Modified Normalized Difference Water Index (MNDWI), and Soil-Adjusted Vegetation Index …

Assessment Of Project Risk Performance Of Selected Mass Housing Infrastructures In Northern Nigeria, Chinedu Chimdi Adindu, Abdulhaqq Onoruoyiza Muhammed, Emmanuel Ashem Egila, Musa Mohammed

CSID Journal of Infrastructure Development

Mass housing projects in Northern Nigeria often suffer from insufficient risk management, impacting timely delivery, budget adherence, and quality standards. This study assesses risk vulnerabilities in selected mass housing infrastructure projects, focusing on information risks related to roles, responsibilities, scope, requirements, and operations. A mixed-methods approach was employed, with data collected from 465 construction professionals across 20 states, with a 64.58% response rate. Analytical tools, including regression and Pearson correlation, identified critical risks such as underfunding, weak project monitoring and control, and the failure to deliver end-user value. Findings reveal that these risks significantly undermine project outcomes, highlighting the need …

Strategic Knowledge Management Framework For Technology Transfer In Indonesian Joint Operation Construction Projects, Yudha Trimuliadi Suryana, Ayomi Dita Rarasati

CSID Journal of Infrastructure Development

Joint Operation (JO) construction companies in Indonesia face persistent challenges in technology transfer, including misalignment between advanced technologies and organizational capacities. Knowledge management has been proposed as a strategic solution, but its implementation remains underdeveloped. This study develops a framework to enhance technology transfer in JO construction projects through improved knowledge management practices. Utilizing a mixed-methods approach, the research combines a literature review with an analytical hierarchy process, fuzzy set theory, and a simple additive weighting method, supported by data from selected respondents involved in the Jakarta Mass Rapid Transit (MRT) project (CP201). Key findings identify knowledge acquisition, utilization, and …

Overview Of Nigeria’S Infrastructural Development, Muhammad Onoruiza Audu, Otu Muhammed Adeiza

CSID Journal of Infrastructure Development

This paper offers a comprehensive analysis of Nigeria’s infrastructural development from 2014 to 2023, focusing on significant achievements and recurring challenges. The study examines key projects in transportation, energy, and housing, such as the Abuja-Kaduna and Lagos-Ibadan railways, the Azura-Edo Power Plant, and urban road upgrades. Persistent issues, including insufficient funding, regulatory inefficiencies, regional disparities, and security challenges, are also assessed. Using a mixed-methods approach that incorporates a literature review, data analysis, and stakeholder perspectives, the research evaluates the social and economic effects of these initiatives. The findings provide strategic recommendations to improve infrastructure quality and accessibility, promote sustainable practices, …

Forecasting Nigerian Stock Market Volatilities Using Bagging And Ensemble Averaging, Godknows Isenah

CBN Journal of Applied Statistics (JAS)

This paper using bagged GARCH-type model, with ensemble averaging estimators models and compares the forecast performances to those of some classical GARCH type models. Using Mean Absolute Forecast Error (MAFE) and Root Mean Squared Forecast Error (RMSFE) as forecast-error measures, the results shows bagging ensemble based methods to out-perform the alternative volatility models. The study recommended that volatility estimates obtained via bagged ensemble methods should be used as inputs to facilitate financial operations such as derivatives pricing, risk hedging, computations of Value-at-Risk (VaR) estimates, and for financial decision making.

Unleaded Fuel For General Aviation, Carolina Anderson, Laura Garcia

Sustainability Conference

The Clean Air Act, passed in the late 1970s, mandating the removal of lead from most fuels due its detrimental effects on public health, yet piston-driven aircraft continue to rely on leaded aviation gas (AvGas 100LL). This fuel remains the last lead-containing fuel regulated by the Department of Transportation (DOT). Lead, added as tetraethyl lead (TEL), enhances octane levels and prevents engine detonation, vital for high-compression aircraft engines. In response to the health effects, regulating bodies like the Environmental Protection Agency (EPA) have tightened lead standards and are assessing the risk posed by AvGas. Research links even low-level lead exposure …

Santa Clara Magazine, Volume 65 Number 2, Fall 2024 [Print Issue 62:2], Santa Clara University

Santa Clara Magazine

12 - INCREASING ACCESS Discerning one’s dream requires a whole set of experiences based on community, opportunity, and, yes, cash. Leslie Griffy

16 - UNPACKING UTOPIA It seems like billionaire-backed utopias are popping up all over the map. What does it take to build a perfect city? Lauren Loftus

22 - A WEALTH OF WELL-BEING In his new book, Professor Meir Statman explores a holistic approach to financial and life well-being. Leslie Griffy

26 - A WOMAN'S PLACE Despite being denied access to the priesthood, Catholic women find new ways to lead. Leslie Griffy

Moving Beyond Photovoltaics: Advancing And Scaling Concentrated Solar Power For The Future Of Energy, Tucker Donahue

Portugal: Sustainability and Environmental Justice

This paper examines solar energy technologies, starting with photovoltaic (PV) systems, and then thoroughly evaluates Concentrated Solar Power (CSP), a newer technology that uses mirrors to focus sunlight onto a receiver. The paper includes a breakdown of the four types of CSP: Parabolic Trough Collectors (PTC), Solar Power Towers (SPT), Linear Fresnel Reflectors (LFR), and Solar Parabolic Dishes (SPD). Furthermore, the paper separates the CSP processes: collection, transfer, and storage of energy. Two case studies are included in this study: a small-scale CSP system in Portugal and a large-scale project in Italy. The paper discusses key recent improvements in parabolic …

Feasibility Of Creating A Non-Profit And Nongovernmental Organization Cybersecurity Incident Dataset Repository Using Osint, Stanley Mierzwa, Iassen Christov

Center for Cybersecurity

Organizations of all types are prone to cybersecurity and information security attacks. Non-Profit Organizations (NPOs) and Non-Governmental Organizations (NGOs) are not exempt from using information technology solutions and, thus, have been the recipient victims of cyber attackers. There exist many areas and venues where data are collected to report back annually on the status and numbers of cybersecurity attacks against many sectors of our society. The Department of Homeland Security (DHS) Cybersecurity and Infrastructure Security Agency (CISA) catalogs sixteen critical sectors that are considered vital to the United States. However, finding where the NPO and NGO community should reside with …

Cyber Threat Intelligence Sharing In Nigeria, Muhammad Abubakar Nainna, Julian Bass, Lee Speakman

Communications of the IIMA

Cybersecurity challenges are common in Nigeria. Sharing cyber threat intelligence is essential in addressing the extensive challenges posed by cyber threats. It also helps in meeting regulatory compliance. There are a range of impediments that prevent cyber threat intelligence sharing. We hypothesise that we want to maximise this cyber threat intelligence sharing to resist malicious attackers. Therefore, this research investigates factors influencing threat intelligence sharing in Nigeria's cyber security practitioners. To achieve this aim, we conducted research interviews with 14 cyber security practitioners using a semi-structured, open-ended interview guide, which was recorded and transcribed. We analysed the data using an …

A Comparative Study Of Local And Global Construction Materials Sourcing Strategies For Road Projects In Nigeria, Araoye Olarinkoye Ajiboye, Micaiah Zhitsu Silas, Chinedu Chimdi Adindu, Elijah Aina Alhassan, Stephen Sunday Kolo

CSID Journal of Infrastructure Development

This study is a comparative analysis of local and global sourcing strategies to determine the impact of strategic material sourcing on road construction project performance. The study aimed to evaluate the effects of material-sourcing strategies on the performance of road construction companies in Nigeria. A mixed-methods approach was used, incorporating both qualitative and quantitative research. Data collection involved sampling techniques using structured questionnaires and oral interviews. Regression analysis evaluated the relationship between strategic material sourcing and road construction performance. The results revealed that 87.5% of the materials used by road construction companies in the study areas were sourced from the …

The Santa Clara, 2024-05-10, Santa Clara University

The Santa Clara

No abstract provided.

Effectiveness Of Cnn-Lstm Models Used For Apple Stock Forecasting, Ethan White

Electronic Theses, Projects, and Dissertations

This culminating experience project investigates the effectiveness of convolutional neural networks mixed with long short-term memory (CNN-LSTM) models, and an ensemble method, extreme gradient boosting (XGBoost), in predicting closing stock prices. This quantitative analysis utilizes recent AAPL stock data from the NASDAQ index. The chosen research questions (RQs) are: RQ1. What are the optimal hyperparameters for CNN-LSTM models in stock price forecasting? RQ2. What is the best architecture for CNN-LSTM models in this context? RQ3. How can ensemble techniques like XGBoost effectively enhance the predictions of CNN-LSTM models for stock price forecasting?

The research questions were answered through a thorough …

An Architectural Approach To Neighborhood Design In The Quarry Road Informal Settlement In Durban, Viloshin Govender, Ameen Shaikjee

CSID Journal of Infrastructure Development

Informal settlements, often characterized by inadequate infrastructure, housing, and services, are a significant urban challenge in the global South. Creating well-functioning and supportive neighborhoods within these settlements is crucial for improving the living conditions and livelihoods of those living there. This paper explores the strategies and principles of creating neighborhoods in informal settlements that promote community empowerment, social cohesion, and sustainable development. Conventional top-down development approaches often fail to address these settlements' unique needs and dynamics. In contrast, a bottom-up approach empowers residents, fosters community engagement, and promotes sustainable development. This paper explores how architecture can respond to the needs …

Assessing The Characteristics Of Coastal Neighbourhoods That Influence Flood Susceptibility In Kosofe, Nigeria, Saudat O. Ajijola, Funmilayo M. Adedire, J A. Fadamiro

CSID Journal of Infrastructure Development

As climate change continues to exacerbate weather patterns, flood susceptibility has become an increasingly pressing global concern. The susceptibility to floods is influenced by many contextual factors; as such, characterizing coastal neighbourhoods for the purpose of articulating susceptibility pathways is crucial for developing appropriate physical planning policies. The specific research objective seeks to assess the dimensions of neighbourhood characteristics that influence flood susceptibility in Kosofe, a suburban coastal community in Lagos, Nigeria. The data used were based on primary and secondary sources. Using a systematic sampling method, 324 respondents participated in the field survey. The result of the descriptive statistics, …

Evolving Hangwuran City Development Model Through Partial Least Square Approach In North-Central Nigeria, Samuel Medayese, Hangwelani H. Magidimisha-Chipungu, Lovemore Chipungu

CSID Journal of Infrastructure Development

The need for a paradigmatic shift in city development ideology has become increasingly evident over the years. In response to this need, the Hangwurian City Development Model was developed to establish a connection between the concepts of environmental awareness, urban governance, and management. This model also integrates sustainable urban development, urban liveability, and inclusive physical development. The research sets a critical objective of analyzing the significant levels of various indicator variables. The exploratory research utilized partial least squares (PLS) via SmartPLS to evaluate the variables, collecting quantitative data through the open data toolkit from three selected cities: Lokoja, Minna, and …

Neighbourhood Planning: Reminiscence Towards Liveable Communities, Bolanle Wahab, Waheed Kadiri, Ayobami Popoola, Bamiji Adeleye, Robert A. Dwamena

CSID Journal of Infrastructure Development

Urbanisation remains a topical discussion across the globe. According to the United Nations (2022), 68% of the world's population will be absorbed in urban areas by 2050. The envisaged rapid urbanisation in cities by 2050 is believed to be accompanied by various planning problems, which include accelerated climate change, urban slums, urban sprawl, poor sanitation, inadequate infrastructure, overcrowding, housing deficiency and transportation issues. To mitigate these planning problems, the role of effective urban planning cannot be overemphasised. Urban planning provides a pathway for overcoming the various challenges posed by urbanisation both in the present and in the future.

Urban planning …

Partnership And Coalition Efforts For Community-Based Research: Towards A Liveable Urban And Rural Settlement In Kwazulu-Natal, Sibongile A. Ngcobo, Nene E. Khalema, Tawanda Makusha

CSID Journal of Infrastructure Development

This paper examines the role of community partnerships and coalitions in the intricate and constantly evolving dynamics of communities in KwaZulu-Natal, South Africa. Various aspects of the community context, such as socioeconomic conditions, geography, environmental factors, demographics, community politics, and cultural norms, often influence these community partnerships and coalitions. This study adopted the Community Coalition Action Theory as an organisational framework to examine the efforts of coalitions and partnerships in community-based research. The research applied a mixed-methods approach. This included a survey and individual interviews within the research organisation responsible for multiple community-based projects in rural and urban areas of …

Land Surface Temperature And Landuse/ Land Cover Change Variability Using Remotely Sensed Data For Sub-Urban Settlements In Osun State, Nigeria, Saeed K. Ojolowo, Abiodun A. Audu, Charles O. Olatubara, Olusiyi Ipingbemi, Olaitan O. Odunola, Olaide J. Omirin, Oluwasinaayomi F. Kasim

CSID Journal of Infrastructure Development

Land surface temperature (LST) is an indispensable factor in studying urban climate. Ground-based measurements have been employed to quantify LST and Land Use/Land Cover Change (LULC). However, due to advancements in space technology and extensive spatial coverage, remote sensing techniques are increasingly being used to measure the intensity of LST and LULC dynamics, owing to the availability of enhanced satellite-based thermal observations of the Earth. The climatic conditions over a medium-sized city could be improved by understanding the interplay of LST and LULC. In this study, we estimated LST based on Landsat bands 4 and 5 for 1990 and 2000, …

Socio-Economic Effects Of Orisumbare Sawmilling Industries On The Residents Of Ikire, Irewole Local Government Area Osun-State, Nigeria, Umar Usman Jimoh, D R. Ogungbemi

CSID Journal of Infrastructure Development

The study examined the socio-economic effects of the Orisumbare sawmill industry on the residents of Ikire, Irewole local government area of Osun State. The objectives of the study include, examination of the socio-economic characteristics of the respondents, the positive effects of industry on the residents, the negative impacts of industry on the residents, and the perceived environmental-induced diseases caused by industrial activities. A case study research design was adopted, while both primary and secondary data were utilised. A multistage sampling technique was used, in which a buffer zone of 900m radius was made to delineate the zone of industries’ influence. …

Analysis Of The Effects Of Service Delivery On The Wellbeing Of Internally Displaced Persons (Idps) In Federal Capital Territory (Fct), Abuja, Olusegun O. Idowu, Valda Martins, Ndako B. Santali, Jonathan U. Adama, Adekunle S. Adeogun, Gideon Danlami

CSID Journal of Infrastructure Development

The provision of services, encompassing substandard medical facilities, inadequate housing conditions, limited access to electricity, insufficient recreational amenities, and the absence of potable water supply, has emerged as a significant impediment confronting Internally Displaced Persons (IDPs) both domestically and globally. The present investigation sought to evaluate the impact of service delivery on the welfare of IDPs residing in the Federal Capital Territory (FCT), Abuja. The objectives of this inquiry were to assess the socioeconomic attributes of the IDPs, scrutinize the types and efficacy of service delivery within the IDP camps, and appraise the consequences of service delivery on the well-being …

Root And Causes Of Skilled Labor Shortage In Construction Industry: Comprehensive Literature Review, Nicholas Hardy, Carolina Barbosa-Resende, James Kereri, Arash Taghinezhad

The Professional Constructor

The skilled labor shortage is well documented from a historical perspective via studies focusing various construction trades such as carpentry, mechanical, electric and plumbing, and tile setters. Causes of such shortages such as industry image, college as a preferred choice after high school, and construction being a last resort have been investigated extensively. Consequently, possible solutions ranging from amplifying shop classes in high school to intensifying recruiting efforts for union training programs have all been addressed throughout the last 40 years. However, recent studies have focused on identifying the magnitude and reach of the skilled labor gap while limited attention …

End-User Device Management In The Air And Space Forces, Joshua Bonvissuto

Theses and Dissertations

When achieving technical superiority is a matter a national security, it is critical that the Department of the Air Force (DAF) employs a robust Information Technology Asset Management (ITAM) strategy that maximizes mission effectiveness. Since 2022, the Office of the Chief Information Officer (SAF/CN) has been developing a plan to transform the Air Force’s ITAM strategy, primarily intending to centralize End User Device (EUD) procurement to the DAF level. For this study, a Delphi study was conducted to gather expert opinions on key aspects of SAF/CN’s new ITAM strategy to identify strengths, weaknesses, and implementation challenges. This research provides valuable …