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Dr. Eleni Stroulia
Project Director, Integrated Strategic Data Systems, Faculty of Science, University of Alberta, Edmonton, Alberta T6G 2E9, Canada

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0 Mobile Apps
0 Virtual Worlds
0 Web-based Systems
0 Model-Driven Engineering
0 Service-Oriented Architectures

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Virtual Worlds
Model-Driven Engineering
Service-Oriented Architectures
Mobile Apps
Web-based Systems
Legacy Systems Reengineering
Interface Migration

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Journal article
Published: 13 April 2021 in IEEE Access
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Web services are the de-facto standard for implementing web-based systems today, and comprise message-based interactions involving XML and JSON documents. These formats can be quite verbose, especially XML, and therefore compression of such documents can potentially improve the communication efficiency and performance of service-oriented systems. In this paper, we review the various formulations of XML compression and propose a novel technique for the same, wherein large section of the documents are substituted by numerical representations. The approach is simple yet effective, especially on small documents that constitute the bulk of communicated content in web-based systems. We conduct experiments with several datasets and demonstrate that the proposed technique for XML compression outperforms the existing state-of-the-art techniques.

ACS Style

Gyan P. Tiwary; Eleni Stroulia; Abhishek Srivastava. Compression of XML and JSON API Responses. IEEE Access 2021, 9, 1 -1.

AMA Style

Gyan P. Tiwary, Eleni Stroulia, Abhishek Srivastava. Compression of XML and JSON API Responses. IEEE Access. 2021; 9 ():1-1.

Chicago/Turabian Style

Gyan P. Tiwary; Eleni Stroulia; Abhishek Srivastava. 2021. "Compression of XML and JSON API Responses." IEEE Access 9, no. : 1-1.

Journal article
Published: 15 February 2021 in IEEE Transactions on Instrumentation and Measurement
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In this study, we propose the use of electroencephalography (EEG), electrooculography (EOG), and kinematic motion data captured through wearable sensors to classify emotional states while individuals are playing a serious computer game (Whack-a-Mole). Twenty-one participants wore an OpenBCI headset and JINS MEME eyewear while playing the Whack-a-Mole game at three levels of difficulty. We used a variety of classifiers (i.e., a Support Vector Machine (SVM), Logistic Regression (LR), Random Forest (RF), and Ensemble Classifier (EC)) to classify the participants’ emotional states based on their EEG, EOG, and kinematic motion data. The classifiers were trained using the International Affective Picture System (IAPS). The EC and RF showed the best results in terms of their overall performance. Using 10-fold cross-validation for all the subjects, the accuracies obtained were 73% for Arousal and 80% for Valence. Our results suggest that EEG and EOG biosignals, as well as kinematic motion data acquired using off-the-shelf wearable sensors in combination with machine-learning techniques such as EC, can be used to classify emotional states while the individuals were playing the Whack-a-Mole game.

ACS Style

Dillam Jossue Diaz-Romero; Adriana Maria Rios Rincon; Antonio Miguel-Cruz; Nicholas Yee; Eleni Stroulia. Recognizing Emotional States With Wearables While Playing a Serious Game. IEEE Transactions on Instrumentation and Measurement 2021, 70, 1 -12.

AMA Style

Dillam Jossue Diaz-Romero, Adriana Maria Rios Rincon, Antonio Miguel-Cruz, Nicholas Yee, Eleni Stroulia. Recognizing Emotional States With Wearables While Playing a Serious Game. IEEE Transactions on Instrumentation and Measurement. 2021; 70 (99):1-12.

Chicago/Turabian Style

Dillam Jossue Diaz-Romero; Adriana Maria Rios Rincon; Antonio Miguel-Cruz; Nicholas Yee; Eleni Stroulia. 2021. "Recognizing Emotional States With Wearables While Playing a Serious Game." IEEE Transactions on Instrumentation and Measurement 70, no. 99: 1-12.

Journal article
Published: 12 December 2020 in Sensors
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The effectiveness of sensor-based applications for smart homes and smart buildings is conditioned upon the deployment configuration of their underlying sensors. Real-world evaluation of alternative possible sensor-deployment configurations is labor-intensive, costly, and time-consuming, which implies the need for a simulation-based methodology. In this work, we report on such a methodology that supports the modeling of indoor spaces, the activities of their occupants, and the behaviors of different types of sensors. We argue that, in order for a simulation to be useful for the purpose of evaluating a sensor deployment configuration, it has to generate realistic event streams of individual sensors over time, as well as realistic compositions of sensor events within a time window. We have evaluated our simulator for smart indoor spaces, SIMsis toolkit, in the context of our Smart-Condo ambient-assisted living platform, supporting the observation and analysis of activities of daily living (ADLs). Our findings indicate that SIMsis produces realistic agent traces and sensor readings, and has the potential to support the process of developing and deploying sensor-based applications.

ACS Style

Shadan Golestan; Ioanis Nikolaidis; Eleni Stroulia. Towards a Simulation Framework for Smart Indoor Spaces. Sensors 2020, 20, 7137 .

AMA Style

Shadan Golestan, Ioanis Nikolaidis, Eleni Stroulia. Towards a Simulation Framework for Smart Indoor Spaces. Sensors. 2020; 20 (24):7137.

Chicago/Turabian Style

Shadan Golestan; Ioanis Nikolaidis; Eleni Stroulia. 2020. "Towards a Simulation Framework for Smart Indoor Spaces." Sensors 20, no. 24: 7137.

Original research paper
Published: 22 September 2020 in Service Oriented Computing and Applications
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Web APIs have been adopted as the de facto standard for exchanging data on the Web. However, engineering applications that orchestrate the invocation of multiple APIs and the data flow among them are still mostly manual and labor intensive. In fact, as the number of the potentially relevant APIs increases, compositions become opaque, difficult to maintain, and practically impossible to reuse. The recent advances around linked data formalisms have the potential to provide “usable” semantics, to enable automatic API composition methods. In this paper, we formalize a simplified description model, based on SPARQL graph patterns, for capturing the semantics of Web APIs. Based on this model, we propose a methodology for a fully automated process that produces semantically valid composition chains, using iterative subgraph isomorphism. We have validated the usefulness and accuracy of our approach, using a collection of publicly available Web APIs relevant to a real-world use cases.

ACS Style

Diego Serrano; Eleni Stroulia. Semantics-based API discovery, matching and composition with linked metadata. Service Oriented Computing and Applications 2020, 14, 283 -296.

AMA Style

Diego Serrano, Eleni Stroulia. Semantics-based API discovery, matching and composition with linked metadata. Service Oriented Computing and Applications. 2020; 14 (4):283-296.

Chicago/Turabian Style

Diego Serrano; Eleni Stroulia. 2020. "Semantics-based API discovery, matching and composition with linked metadata." Service Oriented Computing and Applications 14, no. 4: 283-296.

Journal article
Published: 26 August 2020 in Automation in Construction
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Building Information Modeling (BIM) is becoming an integral part of the design, architecture, and construction process, as it can integrate all building data in an accessible digital representation that can be viewed in a 3D environment prior to construction. This supports the capability of evaluating a model against building codes or design rules to ensure that the building meets the relevant functional and safety requirements for occupants. However, building regulations are typically represented in natural language and, to date, they have not been created with regard to the digital BIM design process. To automate the design evaluation of a building model, this paper describes a simple, yet extendable, domain-specific language for computationally representing building interior design rules and a method for evaluating rules in this language against a BIM model. Furthermore, previous language-based model-checking approaches have not explored the applicability of their proposed languages beyond model-design evaluation. This paper demonstrates the use of our language in a second, more complex, use case, namely the automated generation of multiple valid alternative model interior designs, compliant to a set of design rules expressed in our language. We have evaluated the usefulness of our language in two generative-design case studies, namely kitchen layouts using a set of real-world kitchen design rules provided by an commercial partner, and living-room layouts using rules put forward in earlier automated-design research. Therefore, this research bridges the concepts of automated model checking and generative design relying on the same rule language.

ACS Style

Christoph Sydora; Eleni Stroulia. Rule-based compliance checking and generative design for building interiors using BIM. Automation in Construction 2020, 120, 103368 .

AMA Style

Christoph Sydora, Eleni Stroulia. Rule-based compliance checking and generative design for building interiors using BIM. Automation in Construction. 2020; 120 ():103368.

Chicago/Turabian Style

Christoph Sydora; Eleni Stroulia. 2020. "Rule-based compliance checking and generative design for building interiors using BIM." Automation in Construction 120, no. : 103368.

Journal article
Published: 22 April 2020 in JMIR mHealth and uHealth
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Background Pain is often underassessed and undertreated among long-term care (LTC) residents living with dementia. When used regularly, the Pain Assessment Checklist for Seniors With Limited Ability to Communicate (PACSLAC) scales have been shown to have beneficial effects on pain assessment and management practices and stress and burnout levels in frontline staff in LTC facilities. Such scales, however, are not utilized as often as recommended, which is likely to be related to additional record-keeping and tracking over time involved with their paper-and-pencil administration. Objective Using implementation science principles, we assessed the introduction of the PACSLAC-II scale by comparing two methods of administration—a newly developed tablet app version and the original paper-and-pencil version—with respect to the frequency of pain assessment and facility staff feedback. Methods Using a case series approach, we tracked pain-related quality indicators at baseline, implementation, and follow-up periods. A quasi-experimental design was used to evaluate the effect of the method of administration (ie, paper-and-pencil only [n=18], tablet only [n=12], paper-and-pencil followed by tablet app [n=31], and tablet app followed by paper-and-pencil [n=31]) on pain assessment frequency and frontline staff stress and burnout levels. Finally, semistructured interviews were conducted with frontline staff to obtain perspectives on each method of administration. Results The implementation effort resulted in a great increase in pain assessment frequency across 7 independent LTC units, although these increases were not maintained during the follow-up period. Frontline staff reported lower levels of workload in the paper-and-pencil followed by tablet app condition than those in the paper-and-pencil only (P<.001) and tablet app followed by paper-and-pencil (P<.001) conditions. Frontline staff also reported lower levels of workload in the tablet-only condition than those in the paper-and-pencil only condition (P=.05). Similarly, lower levels of emotional exhaustion were reported by frontline staff in the paper-and-pencil followed by tablet app condition than those in the paper-and-pencil only (P=.002) and tablet app followed by paper-and-pencil (P=.002) conditions. Finally, frontline staff reported higher levels of depersonalization in the paper-and-pencil only condition than those in the tablet app only (P=.008), paper-and-pencil followed by tablet app (P<.001), and tablet app followed by paper-and-pencil (P<.001) conditions. Furthermore, narrative data from individual interviews with frontline staff revealed a preference for the tablet app over the paper-and-pencil method of administration. Conclusions This study provides support for the use of either the tablet app or the paper-and-pencil version of the PACSLAC-II to improve pain-related quality indicators, but a reported preference for and lower levels of stress and burnout with the use of the tablet app method of administration suggests that the use of the tablet app may have more advantages compared with the paper-and-pencil method of administration.

ACS Style

Mahnoor Zahid; Natasha L Gallant; Thomas Hadjistavropoulos; Eleni Stroulia. Behavioral Pain Assessment Implementation in Long-Term Care Using a Tablet App: Case Series and Quasi-Experimental Design. JMIR mHealth and uHealth 2020, 8, e17108 .

AMA Style

Mahnoor Zahid, Natasha L Gallant, Thomas Hadjistavropoulos, Eleni Stroulia. Behavioral Pain Assessment Implementation in Long-Term Care Using a Tablet App: Case Series and Quasi-Experimental Design. JMIR mHealth and uHealth. 2020; 8 (4):e17108.

Chicago/Turabian Style

Mahnoor Zahid; Natasha L Gallant; Thomas Hadjistavropoulos; Eleni Stroulia. 2020. "Behavioral Pain Assessment Implementation in Long-Term Care Using a Tablet App: Case Series and Quasi-Experimental Design." JMIR mHealth and uHealth 8, no. 4: e17108.

Research article standards
Published: 03 March 2020 in Journal of Software: Evolution and Process
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Bug assignment is the task of ranking candidate developers in terms of their potential competence to fix a bug report. Numerous methods have been developed to address this task, relying on different methodological assumptions and demonstrating their effectiveness with a variety of empirical studies with numerous data sets and evaluation criteria. Despite the importance of the subject and the attention it has received from researchers, there is still no unanimity on how to validate and comparatively evaluate bug‐assignment methods and, often times, methods reported in the literature are not reproducible. In this paper, we first report on our systematic review of the broad bug‐assignment research field. Next, we focus on a few key empirical studies and review their choices with respect to three important experimental‐design parameters, namely, the evaluation metric(s) they report, their definition of who the real assignee is, and the community of developers they consider as candidate assignees. The substantial variability on these criteria led us to formulate a systematic experiment to explore the impact of these choices. We conducted our experiment on a comprehensive data set of bugs we collected from 13 long‐term open‐source projects, using a simple Tf‐IDf similarity metric. On the basis of our arguments and/or experiments, we provide useful guidelines for performing further bug‐assignment research. We conclude that mean average precision (MAP) is the most informative evaluation metric, the developer community should be defined as “all the project members,” and the real assignee should be defined as “any developer who worked toward fixing a bug.”

ACS Style

Ali Sajedi‐Badashian; Eleni Stroulia. Guidelines for evaluating bug‐assignment research. Journal of Software: Evolution and Process 2020, 32, 1 .

AMA Style

Ali Sajedi‐Badashian, Eleni Stroulia. Guidelines for evaluating bug‐assignment research. Journal of Software: Evolution and Process. 2020; 32 (9):1.

Chicago/Turabian Style

Ali Sajedi‐Badashian; Eleni Stroulia. 2020. "Guidelines for evaluating bug‐assignment research." Journal of Software: Evolution and Process 32, no. 9: 1.

Journal article
Published: 27 June 2019 in IEEE Transactions on Industrial Informatics
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Access control is an essential feature of industrial software-systems security mechanisms. Role-Based Access Control (RBAC), likely the most popular access-control technique, specifies "user roles" and associates each role with "permissions" to access distinct system functionalities. These role-permission assignment rules, as well as the types of system users and system functionalities, evolve over time. In this paper, we describe a methodology for analyzing and understanding the RBAC configuration evolution, its relation to the overall evolutionary lifecycle of industrial systems, and its impact to security vulnerabilities from which the system may suffer. Our methodology considers two different sources of information regarding the RBAC configuration evolution: the role-permissions matrices of subsequent system versions and the corresponding concept lattices, implied by these matrices. By examining the evolution of these two system properties, developers can easily notice which versions involve more, and more complex, RBAC configuration changes that may indicate higher security risks. We demonstrate our methodology with a study of four popular real-world systems: Mediawiki, Moodle, Joomla, and Wordpress. Our findings show that the proposed metrics have strong, positive linear correlations with the security vulnerabilities properties.

ACS Style

Zhuobing Han; Xiaohong Li; Guangquan Xu; Naixue Xiong; Ettore Merlo; Eleni Stroulia. An Effective Evolutionary Analysis Scheme for Industrial Software Access Control Models. IEEE Transactions on Industrial Informatics 2019, 16, 1024 -1034.

AMA Style

Zhuobing Han, Xiaohong Li, Guangquan Xu, Naixue Xiong, Ettore Merlo, Eleni Stroulia. An Effective Evolutionary Analysis Scheme for Industrial Software Access Control Models. IEEE Transactions on Industrial Informatics. 2019; 16 (2):1024-1034.

Chicago/Turabian Style

Zhuobing Han; Xiaohong Li; Guangquan Xu; Naixue Xiong; Ettore Merlo; Eleni Stroulia. 2019. "An Effective Evolutionary Analysis Scheme for Industrial Software Access Control Models." IEEE Transactions on Industrial Informatics 16, no. 2: 1024-1034.

Journal article
Published: 12 February 2019 in Information Processing & Management
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Reviewer assignment is an important task in many research-related activities, such as conference organization and grant-proposal adjudication. The goal is to assign each submitted artifact to a set of reviewers who can thoroughly evaluate all aspects of the artifact’s content, while, at the same time, balancing the workload of the reviewers. In this paper, we focus on textual artifacts such as conference papers, where both (aspects of) the submitted papers and (expertise areas of) the reviewers can be described with terms and/or topics extracted from the text. We propose a method for automatically assigning a team of reviewers to each submitted paper, based on the clusters of the reviewers’ publications as latent research areas. Our method extends the definition of the relevance score between reviewers and papers using the latent research areas information to find a team of reviewers for each paper, such that each individual reviewer and the team as a whole cover as many paper aspects as possible. To solve the constrained problem where each reviewer has a limited reviewing capacity, we utilize a greedy algorithm that starts with a group of reviewers for each paper and iteratively evolves it to improve the coverage of the papers’ topics by the reviewers’ expertise. We experimentally demonstrate that our method outperforms state-of-the-art approaches w.r.t several standard quality measures.

ACS Style

Maryam Mirzaei; Jörg Sander; Eleni Stroulia. Multi-Aspect Review-Team Assignment using Latent Research Areas. Information Processing & Management 2019, 56, 858 -878.

AMA Style

Maryam Mirzaei, Jörg Sander, Eleni Stroulia. Multi-Aspect Review-Team Assignment using Latent Research Areas. Information Processing & Management. 2019; 56 (3):858-878.

Chicago/Turabian Style

Maryam Mirzaei; Jörg Sander; Eleni Stroulia. 2019. "Multi-Aspect Review-Team Assignment using Latent Research Areas." Information Processing & Management 56, no. 3: 858-878.

Conference paper
Published: 29 December 2018 in Sustainable Transport Development, Innovation and Technology
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Service-science research has long been studying T-shapedness, arguing that service scientists should be T-shaped individuals, deeply knowledgeable in one field and able to collaborate and communicate across disciplines. The value of multidisciplinarity has also been recognized in academic environments, as funding agencies are committing substantial support to large-scale research initiatives that span across disciplines, organizations, academia and industry, even across national borders, and aim to address the major challenges of our time, from climate change, to energy shortage, to pandemics. New incentives and performance indicators are needed to encourage and reward multidisciplinary collaborative work. In this paper, we introduce a metric for multidisciplinarity, based on the notion of T-shapedness and we report on the application of this measure on data collected over four years from the GRAND Network of Centres of Excellence, a large-scale, Canadian, multidisciplinary research network conducting research on digital media with numerous academic and industrial partners. We describe our findings on how the community evolved over time in terms of its T-shaped multidisciplinarity and compare the multidisciplinarity of GRAND researchers to their non-GRAND peers.

ACS Style

David Turner; Diego Serrano; Eleni Stroulia; Kelly Lyons. A T-shaped Measure of Multidisciplinarity in Academic Research Networks: The GRAND Case Study. Sustainable Transport Development, Innovation and Technology 2018, 31 -41.

AMA Style

David Turner, Diego Serrano, Eleni Stroulia, Kelly Lyons. A T-shaped Measure of Multidisciplinarity in Academic Research Networks: The GRAND Case Study. Sustainable Transport Development, Innovation and Technology. 2018; ():31-41.

Chicago/Turabian Style

David Turner; Diego Serrano; Eleni Stroulia; Kelly Lyons. 2018. "A T-shaped Measure of Multidisciplinarity in Academic Research Networks: The GRAND Case Study." Sustainable Transport Development, Innovation and Technology , no. : 31-41.

Conference paper
Published: 04 November 2018 in Proceedings of the 1st ACM SIGSOFT International Workshop on Ensemble-Based Software Engineering
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ACS Style

Maria Teresa Baldassarre; Danilo Caivano; Diego Serrano; Eleni Stroulia. “Smart Traffic”: an IoT traffic monitoring system based on open source technologies on the cloud. Proceedings of the 1st ACM SIGSOFT International Workshop on Ensemble-Based Software Engineering 2018, 13 -18.

AMA Style

Maria Teresa Baldassarre, Danilo Caivano, Diego Serrano, Eleni Stroulia. “Smart Traffic”: an IoT traffic monitoring system based on open source technologies on the cloud. Proceedings of the 1st ACM SIGSOFT International Workshop on Ensemble-Based Software Engineering. 2018; ():13-18.

Chicago/Turabian Style

Maria Teresa Baldassarre; Danilo Caivano; Diego Serrano; Eleni Stroulia. 2018. "“Smart Traffic”: an IoT traffic monitoring system based on open source technologies on the cloud." Proceedings of the 1st ACM SIGSOFT International Workshop on Ensemble-Based Software Engineering , no. : 13-18.

Proceedings article
Published: 01 July 2018 in 2018 IEEE World Congress on Services (SERVICES)
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The number of Web APIs for accessing information and services is continuously increasing, and yet, no tools exist to automate the process of invoking these APIs and composing their responses, which can be time consuming and error prone. In our previous work, we described LRA (Linked REST APIs) [1], a middleware that enables the automatic composition of REST APIs. Although this automation represents a great opportunity to systematize and improve the quality of the process of using Web APIs, LRA's reliance on SPARQL as the user-interaction model may hinder its adoption. Hence, based upon previous work on Linked Data query systems, in this paper we present a tool that takes advantage of the emergent schema of Web API descriptions, in order to simplify the formulation of LRA-compliant queries.

ACS Style

Diego Serrano; Eleni Stroulia. The LRA Workbench for Composing Linked REST APIs. 2018 IEEE World Congress on Services (SERVICES) 2018, 29 -30.

AMA Style

Diego Serrano, Eleni Stroulia. The LRA Workbench for Composing Linked REST APIs. 2018 IEEE World Congress on Services (SERVICES). 2018; ():29-30.

Chicago/Turabian Style

Diego Serrano; Eleni Stroulia. 2018. "The LRA Workbench for Composing Linked REST APIs." 2018 IEEE World Congress on Services (SERVICES) , no. : 29-30.

Journal article
Published: 27 October 2017 in IEEE Transactions on Instrumentation and Measurement
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This paper presents the results from a one-year study of 12 patients with moderate dementia in an adult day program who played a novel whack-a-mole game-based measurement instrument for cognitive behavior and performance. The ongoing measurement of cognition and changes associated with dementia is a challenge for healthcare providers. Measurement methods based on a tablet-based instrument are proposed. Partnership with the adult day program greatly eased recruitment: all but 1 eligible participant joined our study, compared to one in five, or lower, for previous studies with similar populations. There are three unique aspects to the design of our game: first, it has two distinct targets requiring different actions, which increases the cognitive processing for the users; second, each level is systematically more difficult; third, it records and analyzes player performance. The results show that the patients' game performance improves over the first few weeks; this indicates that they are learning the game and retaining ability gains from week-to-week, suggesting some procedural learning is still intact. Over the year, 4 participants showed cognitive decline, 4 were stable and 3 improved based on their Minimental State Exam (MMSE) score. Two measures are proposed based on level progression within the sessions and mole hit performance. The level progression measure identifies declining participants with one false negative (FN) and one false positive error. The mole hit performance measure identifies declining participants with one FN error. These results demonstrate the potential for the proposed instrument to provide an ongoing measurement as an alternative for the repeated application of the MMSE.

ACS Style

Bruce Wallace; Frank Knoefel; Rafik Goubran; Philippe Masson; Amanda Baker; Brianna Allard; Victor Guana; Eleni Stroulia. Detecting Cognitive Ability Changes in Patients With Moderate Dementia Using a Modified “Whack-a-Mole” Game. IEEE Transactions on Instrumentation and Measurement 2017, 67, 1521 -1534.

AMA Style

Bruce Wallace, Frank Knoefel, Rafik Goubran, Philippe Masson, Amanda Baker, Brianna Allard, Victor Guana, Eleni Stroulia. Detecting Cognitive Ability Changes in Patients With Moderate Dementia Using a Modified “Whack-a-Mole” Game. IEEE Transactions on Instrumentation and Measurement. 2017; 67 (7):1521-1534.

Chicago/Turabian Style

Bruce Wallace; Frank Knoefel; Rafik Goubran; Philippe Masson; Amanda Baker; Brianna Allard; Victor Guana; Eleni Stroulia. 2017. "Detecting Cognitive Ability Changes in Patients With Moderate Dementia Using a Modified “Whack-a-Mole” Game." IEEE Transactions on Instrumentation and Measurement 67, no. 7: 1521-1534.

Journal article
Published: 18 October 2017 in Sensors
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We consider the problem of estimating the location of people as they move and work in indoor environments. More specifically, we focus on the scenario where one of the persons of interest is unable or unwilling to carry a smartphone, or any other “wearable” device, which frequently arises in caregiver/cared-for situations. We consider the case of indoor spaces populated with anonymous binary sensors (Passive Infrared motion sensors) and eponymous wearable sensors (smartphones interacting with Estimote beacons), and we propose a solution to the resulting sensor-fusion problem. Using a data set with sensor readings collected from one-person and two-person sessions engaged in a variety of activities of daily living, we investigate the relative merits of relying solely on anonymous sensors, solely on eponymous sensors, or on their combination. We examine how the lack of synchronization across different sensing sources impacts the quality of location estimates, and discuss how it could be mitigated without resorting to device-level mechanisms. Finally, we examine the trade-off between the sensors’ coverage of the monitored space and the quality of the location estimates.

ACS Style

Parisa Mohebbi; Eleni Stroulia; Ioanis Nikolaidis. Sensor-Data Fusion for Multi-Person Indoor Location Estimation. Sensors 2017, 17, 2377 .

AMA Style

Parisa Mohebbi, Eleni Stroulia, Ioanis Nikolaidis. Sensor-Data Fusion for Multi-Person Indoor Location Estimation. Sensors. 2017; 17 (10):2377.

Chicago/Turabian Style

Parisa Mohebbi; Eleni Stroulia; Ioanis Nikolaidis. 2017. "Sensor-Data Fusion for Multi-Person Indoor Location Estimation." Sensors 17, no. 10: 2377.

Conference paper
Published: 05 May 2017 in Business Information Systems
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ACS Style

Pedram Veisi; Eleni Stroulia. AHL: Model-Driven Engineering of Android Applications with BLE Peripherals. Business Information Systems 2017, 56 -74.

AMA Style

Pedram Veisi, Eleni Stroulia. AHL: Model-Driven Engineering of Android Applications with BLE Peripherals. Business Information Systems. 2017; ():56-74.

Chicago/Turabian Style

Pedram Veisi; Eleni Stroulia. 2017. "AHL: Model-Driven Engineering of Android Applications with BLE Peripherals." Business Information Systems , no. : 56-74.

Proceedings article
Published: 09 February 2017 in 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)
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The emergence of cloud computing and the Internet of Things (IoT) have given rise to a wealth of new opportunities for integrating heterogeneous systems and collecting massive data sets, whose analysis may lead to new information, insight, and knowledge. Building a scalable architecture for urban IoT environments is a complex task, primarily because of the massive amounts of data generated by sensor devices, and the variety of data sources. And yet it is a compelling application area, given the number of potential municipal services that can be improved using these technologies. In this paper, we describe our study of how cloud-computing and big-data management technologies can assist decision making for transportation systems in smart cities. More specifically, this paper presents and discusses a proof-of-concept prototype, based on open-source technologies and publicly available data for the city of Edmonton.

ACS Style

Diego Serrano; Maria Teresa Baldassarre; Eleni Stroulia. Real-time traffic-based routing, based on open data and open-source software. 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT) 2017, 661 -665.

AMA Style

Diego Serrano, Maria Teresa Baldassarre, Eleni Stroulia. Real-time traffic-based routing, based on open data and open-source software. 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT). 2017; ():661-665.

Chicago/Turabian Style

Diego Serrano; Maria Teresa Baldassarre; Eleni Stroulia. 2017. "Real-time traffic-based routing, based on open data and open-source software." 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT) , no. : 661-665.

Observational study
Published: 01 February 2017 in Canadian Journal of Diabetes
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Smartphones are a potentially useful tool in diabetes care. We have developed an application (app) linked to a website, Intelligent Diabetes Management (IDM), which serves as both an insulin bolus calculator and an electronic diabetes diary. We have prospectively studied whether patients using this app improved control of their glucose levels. Patients with type 1 diabetes were recruited. There was a 4-week observation period, midway during which we offered to review the participants' records. The app was then downloaded and participants' diabetes regimens entered on the synchronized IDM website. At 2, 4, 8, 12 and 16 weeks of the active phase, their records were reviewed online, and feedback was provided electronically. The primary endpoint was change in levels of glycated hemoglobin (A1C). Of the 31 patients recruited, 18 completed the study. These 18 made 572±98 entries per person on the IDM system over the course of the study (≈5.1/day). Their ages were 40.0±13.9 years, the durations of their diabetes were 27.3±14.9 years and 44% used insulin pumps. The median A1C level fell from 8.1% (7.5 to 9.0, IQ range) to 7.8% (6.9 to 8.3; p<0.001). During the observation period, glucose records were reviewed for 50% of the participants. In the active phase, review of the glucose diaries took less time on the IDM website than using personal glucose records in the observation period, median 6 minutes (5 to 7.5 IQ range) vs. 10 minutes (7.5 to 10.5 IQ range; p<0.05). Our smartphone app enables online review of glucose records, requires less time for clinical staff and is associated with improved glucose control.

ACS Style

Edmond A. Ryan; Joanna Holland; Eleni Stroulia; Blerina Bazelli; Stephanie A. Babwik; Haipeng Li; Peter Senior; Russ Greiner. Improved A1C Levels in Type 1 Diabetes with Smartphone App Use. Canadian Journal of Diabetes 2017, 41, 33 -40.

AMA Style

Edmond A. Ryan, Joanna Holland, Eleni Stroulia, Blerina Bazelli, Stephanie A. Babwik, Haipeng Li, Peter Senior, Russ Greiner. Improved A1C Levels in Type 1 Diabetes with Smartphone App Use. Canadian Journal of Diabetes. 2017; 41 (1):33-40.

Chicago/Turabian Style

Edmond A. Ryan; Joanna Holland; Eleni Stroulia; Blerina Bazelli; Stephanie A. Babwik; Haipeng Li; Peter Senior; Russ Greiner. 2017. "Improved A1C Levels in Type 1 Diabetes with Smartphone App Use." Canadian Journal of Diabetes 41, no. 1: 33-40.

Journal article
Published: 01 January 2017 in International Journal of Business Process Integration and Management
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About one in two adults and one in four teens own a smart phone in North America and use it to access online information and services. This, ever increasing, demand for mobile applications has given rise to the need for tools and methods to systematically support the design and construction of these applications. Responding to this need, we have developed WL++, a code-generation environment for mobile-application development. Using this tool, developers can create application-specific diagrams of the application's logical model and annotate them with information about the user-interface widgets appropriate for interacting with the model elements. WL++ then produces a relational back-end for storing the model data, a set of RESTful APIs for accessing and updating the back-end, and a multi-platform mobile application that relies on the IBM Worklight framework to render, interact with and store the relevant data, through the chosen widgets and APIs. In addition, a general service monitors and records the usage of the APIs and the data exchange between the application and the back-end. In this paper, we describe the WL++ cross-mobile application generation framework and we illustrate its functionality with an example.

ACS Style

Blerina Bazelli; Eleni Stroulia. WL++: a framework to build cross-platform mobile applications and RESTful back-ends. International Journal of Business Process Integration and Management 2017, 8, 1 .

AMA Style

Blerina Bazelli, Eleni Stroulia. WL++: a framework to build cross-platform mobile applications and RESTful back-ends. International Journal of Business Process Integration and Management. 2017; 8 (1):1.

Chicago/Turabian Style

Blerina Bazelli; Eleni Stroulia. 2017. "WL++: a framework to build cross-platform mobile applications and RESTful back-ends." International Journal of Business Process Integration and Management 8, no. 1: 1.

Conference paper
Published: 01 December 2016 in 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)
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Parking-management systems, including services that recognize vacant stalls, can play a valuable role in reducing traffic and energy waste in large cities. Visual methods for detecting vacant parking spots are cost-effective options since they can take advantage of the cameras already available in many parking lots. However, visual-detection methods can be fragile and not easily generalizable. In this paper, we present a robust detection algorithm based on deep convolutional neural networks. We implemented and tested our algorithm on a large baseline dataset, and also tested on video feeds from web-accessible parking-lot cameras. Our detection method improved the state of the art AUC by 8.13%. It also showed robust performance in different testing scenarios including tests on public cameras. We have developed a fully functional system, from server-side image analysis to front-end user interface, to demonstrate the practicality of our method.

ACS Style

Sepehr Valipour; Mennatullah Siam; Eleni Stroulia; Martin Jagersand. Parking-stall vacancy indicator system, based on deep convolutional neural networks. 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT) 2016, 655 -660.

AMA Style

Sepehr Valipour, Mennatullah Siam, Eleni Stroulia, Martin Jagersand. Parking-stall vacancy indicator system, based on deep convolutional neural networks. 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT). 2016; ():655-660.

Chicago/Turabian Style

Sepehr Valipour; Mennatullah Siam; Eleni Stroulia; Martin Jagersand. 2016. "Parking-stall vacancy indicator system, based on deep convolutional neural networks." 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT) , no. : 655-660.

Conference paper
Published: 01 December 2016 in 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)
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Knowledge about people's geographical location can be used to infer their possible needs, and to offer relevant services to satisfy these needs. Such targeted approach in service demand identification and service delivery is one of the reasons why Location-Based Services (LBS) are so popular in our days. In this paper, we describe a framework that we developed for offering location-based services, relying on infrastructure typically available in smart campus environments. Our framework includes three user-facing components: 1) an energy-aware Android application for end users to recognize their locations and access the services available to them; 2) a web application, which enables end users to search for services available on the campus as a whole; and 3) a web application for managers to specify what services are available on campus and in which areas. Each of these applications communicates with a server from the middle layer. Finally, a PostgreSQL database constitutes the framework's back-end, where information about the available services and their spatial scope is maintained. We evaluate the performance of our framework in terms of localization accuracy, since this is the most critical quality for the effective delivery of location-based services.

ACS Style

Alexandr Petcovici; Eleni Stroulia. Location-based services on a smart campus: A system and a study. 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT) 2016, 94 -99.

AMA Style

Alexandr Petcovici, Eleni Stroulia. Location-based services on a smart campus: A system and a study. 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT). 2016; ():94-99.

Chicago/Turabian Style

Alexandr Petcovici; Eleni Stroulia. 2016. "Location-based services on a smart campus: A system and a study." 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT) , no. : 94-99.