Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
-
- Machine learning (2)
- Mobile learning (2)
- Smart meters (2)
- Big Data (1)
- CSFs (1)
-
- Cloud (1)
- Cloud computing; data interoperability; data integration; data heterogeneity; knowledge as a service (KaaS); NoSQL storage; disaster management (1)
- Computer game (1)
- Critical success factors (1)
- DSL (1)
- Demand forecasting (1)
- Empirical studies (1)
- Empirical study (1)
- Energy cost forecasting (1)
- Energy forecasting (1)
- Energy prediction (1)
- Game business perfomance (1)
- Higher education (1)
- M-Learning (1)
- Mobile computing (1)
- Modeling (1)
- Portability (1)
- Prediction methods (1)
- Quality of service (1)
- Replication process (1)
- Sensor-based forecasting (1)
- Service replication (1)
- Service-oriented architecture (1)
- Smartphone applications (1)
- Software game (1)
Articles 1 - 9 of 9
Full-Text Articles in Engineering
Energy Forecasting For Event Venues: Big Data And Prediction Accuracy, Katarina Grolinger, Alexandra L'Heureux, Miriam Am Capretz, Luke Seewald
Energy Forecasting For Event Venues: Big Data And Prediction Accuracy, Katarina Grolinger, Alexandra L'Heureux, Miriam Am Capretz, Luke Seewald
Electrical and Computer Engineering Publications
Advances in sensor technologies and the proliferation of smart meters have resulted in an explosion of energy-related data sets. These Big Data have created opportunities for development of new energy services and a promise of better energy management and conservation. Sensor-based energy forecasting has been researched in the context of office buildings, schools, and residential buildings. This paper investigates sensor-based forecasting in the context of event-organizing venues, which present an especially difficult scenario due to large variations in consumption caused by the hosted events. Moreover, the significance of the data set size, specifically the impact of temporal granularity, on energy …
Empirical Investigation Of Key Business Factors For Digital Game Performance, Saiqa Aleem, Luiz Fernando Capretz, Faheem Ahmed
Empirical Investigation Of Key Business Factors For Digital Game Performance, Saiqa Aleem, Luiz Fernando Capretz, Faheem Ahmed
Electrical and Computer Engineering Publications
Game development is an interdisciplinary concept that embraces software engineering, business, management, and artistic disciplines. This research facilitates a better understanding of the business dimension of digital games. The main objective of this research is to investigate empirically the effect of business factors on the performance of digital games in the market and to answer the research questions asked in this study. Game development organizations are facing high pressure and competition in the digital game industry. Business has become a crucial dimension, especially for game development organizations. The main contribution of this paper is to investigate empirically the influence of …
In Need Of A Domain-Specific Language Modeling Notation For Smartphone Applications With Portable Capability, Hamza Ghandorh, Luiz Fernando Capretz Dr., Ali Bou Nassif Dr.
In Need Of A Domain-Specific Language Modeling Notation For Smartphone Applications With Portable Capability, Hamza Ghandorh, Luiz Fernando Capretz Dr., Ali Bou Nassif Dr.
Electrical and Computer Engineering Publications
The rapid growth of the smartphone market and its increasing revenue has motivated developers to target multiple platforms. Market leaders, such as Apple, Google, and Microsoft, develop their smartphone applications complying with their platform specifications. The specification of each platform makes a platform-dedicated application incompatible with other platforms due to the diversity of operating systems, programming languages, and design patterns. Conventional development methodologies are applied to smartphone applications, yet they perform less well. Smartphone applications have unique hardware and software requirements. All previous factors push smartphone developers to build less sophisticated and low-quality products when targeting multiple smartphone platforms. Model-driven …
A Systematic Review Of The Critical Factors For Success Of Mobile Learning In Higher Education (University Students' Perspective), Muasaad Alrasheedi, Luiz Fernando Capretz, Arif Raza
A Systematic Review Of The Critical Factors For Success Of Mobile Learning In Higher Education (University Students' Perspective), Muasaad Alrasheedi, Luiz Fernando Capretz, Arif Raza
Electrical and Computer Engineering Publications
The phenomenon of the use of a mobile learning (m-Learning) platform in educational institutions is slowly gaining momentum. However, the enthusiasm with which mobile phones have been welcomed into every aspect of our lives is not yet apparent in the educational sector. To understand the reason, it is important to understand user expectations of the system. This article documents a systematic review of existing studies to find the success factors for effective m-Learning. Our systematic review collates results from 30 studies conducted in 17 countries, where 13 critical success factors were found to strongly impact m-Learning implementation. Using these results …
An Empirical Study Of Critical Success Factors Of Mobile Learning Platform From The Perspective Of Instructors, Muasaad Alrasheedi, Luiz Fernando Capretz
An Empirical Study Of Critical Success Factors Of Mobile Learning Platform From The Perspective Of Instructors, Muasaad Alrasheedi, Luiz Fernando Capretz
Electrical and Computer Engineering Publications
Mobile learning is newest learning platform and based on the rapid rate of proliferation of mobile technology throughout the world is expected to grow at a rapid rate. However, the adoption of m-Learning is proceeding at a cautious rate. This mismatch in the rate of growth of the technology itself and the use of the technology in learning is a subject of extensive interest to researchers. However, research in the area has been mostly focused on understanding the success factors of the platform from learners’ perspective. In this research, we have conducted an extensive analysis of the extent to which …
Collaborative Knowledge As A Service Applied To The Disaster Management Domain, Katarina Grolinger, Emna Mezghani, Miriam Am Capretz, Ernesto Exposito
Collaborative Knowledge As A Service Applied To The Disaster Management Domain, Katarina Grolinger, Emna Mezghani, Miriam Am Capretz, Ernesto Exposito
Electrical and Computer Engineering Publications
Cloud computing offers services which promise to meet continuously increasing computing demands by using a large number of networked resources. However, data heterogeneity remains a major hurdle for data interoperability and data integration. In this context, a Knowledge as a Service (KaaS) approach has been proposed with the aim of generating knowledge from heterogeneous data and making it available as a service. In this paper, a Collaborative Knowledge as a Service (CKaaS) architecture is proposed, with the objective of satisfying consumer knowledge needs by integrating disparate cloud knowledge through collaboration among distributed KaaS entities. The NIST cloud computing reference architecture …
A Generalized Service Replication Process In Distributed Environments, Hany F. Elyamany, Marwa F. Mohamed, Katarina Grolinger, Miriam Am Capretz
A Generalized Service Replication Process In Distributed Environments, Hany F. Elyamany, Marwa F. Mohamed, Katarina Grolinger, Miriam Am Capretz
Electrical and Computer Engineering Publications
Replication is one of the main techniques aiming to improve Web services’ (WS) quality of service (QoS) in distributed environments, including clouds and mobile devices. Service replication is a way of improving WS performance and availability by creating several copies or replicas of Web services which work in parallel or sequentially under defined circumstances. In this paper, a generalized replication process for distributed environments is discussed based on established replication studies. The generalized replication process consists of three main steps: sensing the environment characteristics, determining the replication strategy, and implementing the selected replication strategy. To demonstrate application of the generalized …
Energy Cost Forecasting For Event Venues, Katarina Grolinger, Andrea Zagar, Miriam Am Capretz, Luke Seewald
Energy Cost Forecasting For Event Venues, Katarina Grolinger, Andrea Zagar, Miriam Am Capretz, Luke Seewald
Electrical and Computer Engineering Publications
Electricity price, consumption, and demand forecasting has been a topic of research interest for a long time. The proliferation of smart meters has created new opportunities in energy prediction. This paper investigates energy cost forecasting in the context of entertainment event-organizing venues, which poses significant difficulty due to fluctuations in energy demand and wholesale electricity prices. The objective is to predict the overall cost of energy consumed during an entertainment event. Predictions are carried out separately for each event category and feature selection is used to select the most effective combination of event attributes for each category. Three machine learning …
Reversible Strain-Induced Magnetization Switching In Fega Nanomagnets: Pathway To A Rewritable, Non-Volatile, Non-Toggle, Extremely Low Energy Straintronic Memory, Hasnain Ahmad, Jayasimha Atulasimha, Supriyo Bandyopadhyay
Reversible Strain-Induced Magnetization Switching In Fega Nanomagnets: Pathway To A Rewritable, Non-Volatile, Non-Toggle, Extremely Low Energy Straintronic Memory, Hasnain Ahmad, Jayasimha Atulasimha, Supriyo Bandyopadhyay
Electrical and Computer Engineering Publications
We report reversible strain-induced magnetization switching between two stable/metastable states in ~300 nm sized FeGa nanomagnets delineated on a piezoelectric PMN-PT substrate. Voltage of one polarity applied across the substrate generates compressive strain in a nanomagnet and switches its magnetization to one state, while voltage of the opposite polarity generates tensile strain and switches the magnetization back to the original state. The two states can encode the two binary bits, and, using the right voltage polarity, one can write either bit deterministically. This portends an ultra-energy-efficient non-volatile “non-toggle” memory.