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Idrizi, F., Rustemi, A. & Dalipi, F. (2017). A new modified sorting algorithm: A comparison with state of the art. In: 2017 6th Mediterranean Conference on Embedded Computing (MECO): . Paper presented at 2017 6th Mediterranean Conference on Embedded Computing (MECO), 11-15 June 2017, Bar, Montenegro (pp. 419-424). IEEE
Open this publication in new window or tab >>A new modified sorting algorithm: A comparison with state of the art
2017 (English)In: 2017 6th Mediterranean Conference on Embedded Computing (MECO), IEEE, 2017, p. 419-424Conference paper, Published paper (Refereed)
Abstract [en]

Choosing the right method to sort numbers has a huge effect on how quickly a computer can process a task. The most used sorting algorithms today have been discovered years ago, and to this day, they have been the best for the job as there was no other competitive algorithm. Through this paper, we make an analysis and comparison between the state of the art algorithms in sorting and based on their analogy of functionality, we propose a new modified sorting algorithm. We then present a brief description of the new modified algorithm, conduct comparisons with the state of the art, and finally we give conclusions about the performance of the proposed algorithm versus the most popular sorting algorithms. Moreover, we highlight the benefits of using this algorithm in different fields by various business companies or software developers, in cases when they need faster and easier sorting for their data management.

Place, publisher, year, edition, pages
IEEE, 2017
Series
Mediterranean Conference on Embedded Computing, ISSN 2377-5475
Keyword
sorting ; data management ; functionality analogy ; modified sorting algorithm ; Algorithm design and analysis ; Bars ; Embedded computing ; Flowcharts;Printing ; Software algorithms ; Sorting;comparison and analyses ; experimental setup ; implementation ; sorting algorithms ; state of the art
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
urn:nbn:se:lnu:diva-67906 (URN)10.1109/MECO.2017.7977252 (DOI)000428759500104 ()978-1-5090-6742-8 (ISBN)978-1-5090-6743-5 (ISBN)978-1-5090-6740-4 (ISBN)
Conference
2017 6th Mediterranean Conference on Embedded Computing (MECO), 11-15 June 2017, Bar, Montenegro
Available from: 2017-09-18 Created: 2017-09-18 Last updated: 2018-04-20Bibliographically approved
Dalipi, F., Imran, A. S., Idrizi, F. & Aliu, H. (2017). An Analysis of Learner Experience with MOOCs in Mobile and Desktop Learning Environment. In: Kantola, Jussi Ilari; Barath, Tibor; Nazir, Salman; Andre, Terence (Ed.), Learning and Collaboration Technologies. LCT 2016: . Paper presented at The AHFE 2016 International Conference on Human Factors, Business Management and Society, July 27-31, 2016, Florida, USA (pp. 393-402). Orlando, USA: Springer
Open this publication in new window or tab >>An Analysis of Learner Experience with MOOCs in Mobile and Desktop Learning Environment
2017 (English)In: Learning and Collaboration Technologies. LCT 2016, Orlando, USA: Springer, 2017, p. 393-402Conference paper, Published paper (Refereed)
Abstract [en]

Massive Open Online Courses (MOOCs) are now the most recent topic within the field of e-learning. They have the potential to influence the higher education environments significantly worldwide by creating a completely new and large market of educational resources by overpassing the traditional universities market share due to their physical limitations. However, due to the many differences between mobile devices and desktop environments, the introduction of mobile technology in MOOC environment is challenging. Hence, the main objective of this paper is to study and compare the learner’s experience in different learning environments by using mobile devices and PCs while performing given tasks related to MOOCs. To achieve this goal, we conduct a subjective experiment with various MOOCs related tasks to be performed in mobile and desktop learning environment. The results of the findings show that the difficulties learners have experienced in the mobile environment are more expressed. Moreover, their satisfactory level is much higher in the desktop environment.

Place, publisher, year, edition, pages
Orlando, USA: Springer, 2017
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 9753
National Category
Information Systems, Social aspects
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
urn:nbn:se:lnu:diva-67463 (URN)10.1007/978-3-319-42070-7_36 (DOI)978-3-319-39482-4 (ISBN)978-3-319-39483-1 (ISBN)
Conference
The AHFE 2016 International Conference on Human Factors, Business Management and Society, July 27-31, 2016, Florida, USA
Available from: 2017-08-28 Created: 2017-08-28 Last updated: 2017-09-18Bibliographically approved
Kurti, A. & Dalipi, F. (2017). Bridging the Gap between Academia and Industry: Lessons Learned from a Graduate IT Professional Development Program. In: Gregory T. Papanikos (Ed.), Abstract Book: 2nd Annual International Conference on Engineering Education & Teaching, 5-8 June 2017, Athens, Greece. Paper presented at 2nd Annual International Conference on Engineering Education & Teaching, 5-8 June 2017, Athens (pp. 27-27). Athens
Open this publication in new window or tab >>Bridging the Gap between Academia and Industry: Lessons Learned from a Graduate IT Professional Development Program
2017 (English)In: Abstract Book: 2nd Annual International Conference on Engineering Education & Teaching, 5-8 June 2017, Athens, Greece / [ed] Gregory T. Papanikos, Athens, 2017, p. 27-27Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

The rapid advances of technologies, constantly brings new demands for new skills and expertise of the professionals in IT industry. There is a constant need for people that have in-depth understanding and know how to develop the new innovative services using these new technologies. In these settings, the real challenge is how to find the right persons with the right education in an industry where the in-thing yesterday may be out-of-date tomorrow? To add to this challenge, universities are still “increasingly stove-piped in highly specialized disciplinary fields” (Hurlburt et al., 2010) as well as there is a lack of flexibility for the professionals to have their competences developed. All this points out the great challenges that universities are facing for alignment between academic development within degree curricula and the requirements that industry demands for their specific needs (Falcone et al. 2014). In this research effort we report our experiences from an ongoing Graduate Professional Development Program where we address these challenges through a co-creation process with IT industry based on open innovation. Through this model we bring together research expertise, academic experience and experts from industry in a collaborative process for developing courses to suit the current needs of IT professionals. As an outcome of this process, the course content is tailor-made, as well as everything else in connection, such as: bite-size modules, adjustable pace, open and online educational resources, as well as a flipped classroom approach to teaching. As a result, we have developed and provided so far five courses that have been very well accepted by the IT professional. Thus, in this paper we aim to provide some insights on approaches for facilitating continuous competence development plans for IT professionals within regular university educational offer. 

Place, publisher, year, edition, pages
Athens: , 2017
National Category
Computer and Information Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
urn:nbn:se:lnu:diva-67486 (URN)978-960-598-128-0 (ISBN)
Conference
2nd Annual International Conference on Engineering Education & Teaching, 5-8 June 2017, Athens
Funder
Knowledge Foundation
Available from: 2017-08-29 Created: 2017-08-29 Last updated: 2018-01-13Bibliographically approved
Dalipi, F., Idrizi, F. & Kurti, A. (2017). Exploring the Impact of Social Learning Networks in M-Learning: a Case Study in a University Environment. In: Zaphiris, Panayiotis; Ioannou, Andri (Ed.), Panayiotis Zaphiris, Andri Ioannou (Ed.), Learning and Collaboration Technologies Novel Learning Ecosystems: 4th International Conference, LCT 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part I. Paper presented at 4th International Conference, LCT 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017 (pp. 189-198). Vancouver: Springer
Open this publication in new window or tab >>Exploring the Impact of Social Learning Networks in M-Learning: a Case Study in a University Environment
2017 (English)In: Learning and Collaboration Technologies Novel Learning Ecosystems: 4th International Conference, LCT 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part I / [ed] Panayiotis Zaphiris, Andri Ioannou, Vancouver: Springer, 2017, p. 189-198Conference paper, Published paper (Refereed)
Abstract [en]

The high penetration of Internet, advances in mobile computing and the rise of smartphone usage has largely enhanced the use of social media in education. Moreover, nowadays social learning network (SLN) platforms have become an important educational technology component in higher education. Despite the fact that SLN are becoming ubiquitous in the higher education, there is relatively not much empirical work done investigating their purposefulness when integrated into the learning activities. This paper aims at exploring the impact of SLN in mobile assisted learning and to provide empirical evidence as to what extent SLN and mobile learning (M-learning) can improve the learning experiences. For this purpose, a quantitative experimental approach is used, and two survey questionnaires were conducted. The data is collected from 120 participants. In this study, we focus our intention on Edmodo and Kahoot platforms, which represent social media based tools that aid and support collaboration, knowledge sharing and group activities among students. Computer science students of the Tetovo University (TU) used these tools throughout one semester. From this study, there is significant evidence that students are very interested to use this SLN in a M-learning setting, indicating that SLN can be one of the promising pedagogical technologies that could contribute effectively to learning process.

Place, publisher, year, edition, pages
Vancouver: Springer, 2017
Series
Information Systems and Applications, incl. Internet/Web, and HCI ; 10295
Keyword
M-learning, Social learning networks, Higher education, Edmodo, Kahoot
National Category
Media and Communication Technology
Research subject
Computer and Information Sciences Computer Science
Identifiers
urn:nbn:se:lnu:diva-67455 (URN)10.1007/978-3-319-58509-3_16 (DOI)978-3-319-58508-6 (ISBN)978-3-319-58509-3 (ISBN)
Conference
4th International Conference, LCT 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017
Funder
Knowledge Foundation
Available from: 2017-08-28 Created: 2017-08-28 Last updated: 2018-01-13Bibliographically approved
Dalipi, F., Kurti, A., Zdravkova, K. & Ahmedi, L. (2017). Rethinking the conventional learning paradigm towards MOOC based flipped classroom learning. In: 16th International Conference on Information Technology Based Higher Education and Training (ITHET), 10-12 June, 2017, Ohrid, Macedonia: . Paper presented at 16th International Conference on Information Technology Based Higher Education and Training (ITHET), Ohrid, Macedonia, 10-12 July, 2017. IEEE, Article ID 8067791.
Open this publication in new window or tab >>Rethinking the conventional learning paradigm towards MOOC based flipped classroom learning
2017 (English)In: 16th International Conference on Information Technology Based Higher Education and Training (ITHET), 10-12 June, 2017, Ohrid, Macedonia, IEEE, 2017, article id 8067791Conference paper, Published paper (Refereed)
Abstract [en]

The recent proliferation of Massive Open Online Courses (MOOCs) has initiated a plethora of research endeavors revolving around new pedagogical methods in higher education. Integrating MOOCs in blended learning can be beneficial in different ways for both learners and instructors. In this position paper, we aim to provide a brief and comprehensive review about the challenges that higher education institutions in Macedonia and Kosovo face while coping with the new trends of flexible or blended learning. Moreover, after describing some real cases of MOOC based flipped classroom learning, we also provide some recommendations in order to enhance and enrich learning experience by employing innovative pedagogies.

Place, publisher, year, edition, pages
IEEE, 2017
Series
International Conference on Information Technology Based Higher Education and Training, E-ISSN 2380-1603
Keyword
MOOC, blended learning, higher education, open educational resources, flipped classroom
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science
Identifiers
urn:nbn:se:lnu:diva-68411 (URN)10.1109/ITHET.2017.8067791 (DOI)000426982900007 ()978-1-5386-3968-9 (ISBN)
Conference
16th International Conference on Information Technology Based Higher Education and Training (ITHET), Ohrid, Macedonia, 10-12 July, 2017
Projects
Social Media and Web Technologies for Innovation and Growth
Available from: 2017-10-21 Created: 2017-10-21 Last updated: 2018-04-10Bibliographically approved
Dalipi, F., Ferati, M. & Yayilgan, S. Y. (2017). User Interface Evaluation of a Ski Injuries Management System. In: Salmon, Paul; Macquet, Anne-Claire (Ed.), Advances in Human Factors in Sports and Outdoor Recreation: . Paper presented at International Conference on Human Factors in Sports and Outdoor Recreation, AHFE, Walt Disney World, United States, 27-31 July, 2016 (pp. 213-222). Orlando, USA: Springer
Open this publication in new window or tab >>User Interface Evaluation of a Ski Injuries Management System
2017 (English)In: Advances in Human Factors in Sports and Outdoor Recreation, Orlando, USA: Springer, 2017, p. 213-222Conference paper, Published paper (Refereed)
Abstract [en]

Although many technological devices and solutions to enhance the skiing experience are now available for skiers, skiing sometimes could turn to be potentially dangerous. The speed of movement, environment unpredictability, and variable weather conditions, among others, can contribute to some of the most common skiing injuries that skiers incur. In this paper, we conduct an interface prototype evaluation of a ski injury registration system architecture that is already developed. This system will improve the communication from the ski resort to the medical center, in case an injury has occurred. The results of the interface evaluation indicate that the ski patrollers showed very positive attitude and experience with this prototype. Furthermore, the post-task and SUS (System Usability Scale) question results showed very high score for all participants, indicating that locating the body parts and the right injury was very easy using the interface.

Place, publisher, year, edition, pages
Orlando, USA: Springer, 2017
Series
Advances in Intelligent Systems and Computing,, E-ISSN 2194-5357 ; 496
National Category
Human Computer Interaction
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
urn:nbn:se:lnu:diva-67458 (URN)10.1007/978-3-319-41953-4_19 (DOI)978-3-319-41952-7 (ISBN)978-3-319-41953-4 (ISBN)
Conference
International Conference on Human Factors in Sports and Outdoor Recreation, AHFE, Walt Disney World, United States, 27-31 July, 2016
Available from: 2017-08-28 Created: 2017-08-28 Last updated: 2018-01-13Bibliographically approved
Yildirim-Yayilgan, S., Du, Y., Dalipi, F. & Jeppesen, J. C. (2016). A New Ski Injury Registration System Architecture Using Mobile Applications to Enhance Skiing Safety. International Journal of Interactive Mobile Technologies (iJIM), 10(4)
Open this publication in new window or tab >>A New Ski Injury Registration System Architecture Using Mobile Applications to Enhance Skiing Safety
2016 (English)In: International Journal of Interactive Mobile Technologies (iJIM), ISSN 1865-7923, E-ISSN 1865-7923, Vol. 10, no 4Article in journal (Refereed) Published
Abstract [en]

Mobile apps play an increasingly important role in healthcare institutions by enhancing the quality of healthcare services. Their role in sport injury prevention is also instrumental. In this article, we propose a system architecture for ski injury registration using mobile apps. Our work follows the idea of integrating and using mHealth apps to manage skiing injuries and to provide higher healthcare service quality and faster availability of data. With this work, we aim to greatly simplify the information workflow between the ski patrollers and the medical centers. Having the right information in the right place and on the right time for the injured person, the ski patroller then delivers to the medical centers that information in a format that is easy to analyze by the medical personnel and be prepared for possible interventions. To develop the mobile interfaces for the ski patrollers, nurses and doctors, we employ user-centered design. The overall system features and implementation are also explained and described in this paper. For evaluation purposes of our proposed system architecture, we have conducted a traditional user test of the ski patroller system in collaboration with the ski patrollers in the ski resort of Trysil in Norway. Moreover, a heuristic evaluation with four evaluators is also conducted. The traditional test had two-evaluation points and based on the results of the tests, we obtained implications for enhancing the design of mobile interfaces for the proposed architecture.

Place, publisher, year, edition, pages
International Association of Online Engineering, 2016
National Category
Information Systems, Social aspects
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
urn:nbn:se:lnu:diva-67466 (URN)10.3991/ijim.v10i4.5540 (DOI)
Available from: 2017-08-28 Created: 2017-08-28 Last updated: 2017-11-29Bibliographically approved
Imran, A. S., Pireva, K., Dalipi, F. & Kastrati, Z. (2016). An Analysis of Social Collaboration and Networking Tools in eLearning. In: Zaphiris, Panayiotis; Ioannou, Andri (Ed.), Zaphiris P., Ioannou A. (Ed.), Learning and Collaboration Technologies. LCT 2016: . Paper presented at 3rd International Conference on Learning and Collaboration Technologies, LCT 2016 and 18th International Conference on Human-Computer Interaction, HCI International 2016 ; Toronto ; Canada ; 17-22 July, 2016 (pp. 332-343). Springer
Open this publication in new window or tab >>An Analysis of Social Collaboration and Networking Tools in eLearning
2016 (English)In: Learning and Collaboration Technologies. LCT 2016 / [ed] Zaphiris P., Ioannou A., Springer, 2016, p. 332-343Conference paper, Published paper (Refereed)
Abstract [en]

Many online learning websites and learning management systems (LMS) provide social collaboration and networking tools to aid learning and to interact with peers for knowledge sharing. The benefit of collaborating with each other is certainly undeniable, such tools, however, can be a distraction from the actual tasks for learners. The paper presents a study on social media tools supported by various eLearning systems to understand the impact on students learning activities. A survey questionnaire is designed for this purpose. The data is collected from students who have had experience using different massive open online course (MOOC) eLearning platforms and LMS from various universities. The results of the survey indicate that more than 95 % of the participants use at least one of the social tools in their daily life activities, and almost 84 % of them have used these tools in connection with the eLearning systems. It is also interesting to note that 92 % of the participants intend to use social tools for study purposes. The results indicate that there is a need to integrate more of these social media tools into eLearning systems.

Place, publisher, year, edition, pages
Springer, 2016
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9753
National Category
Media and Communication Technology
Research subject
Computer and Information Sciences Computer Science, Media Technology
Identifiers
urn:nbn:se:lnu:diva-67464 (URN)10.1007/978-3-319-39483-1_31 (DOI)9783319394824 (ISBN)
Conference
3rd International Conference on Learning and Collaboration Technologies, LCT 2016 and 18th International Conference on Human-Computer Interaction, HCI International 2016 ; Toronto ; Canada ; 17-22 July, 2016
Available from: 2017-08-28 Created: 2017-08-28 Last updated: 2018-03-21Bibliographically approved
Dalipi, F., Yayilgan, S. Y. & Gebremedhin, A. (2016). Data-Driven Machine Learning Model in District Heating System for Heat Load Prediction: A Comparison Study. Applied Computational Intelligence and Soft Computing, Article ID 3403150.
Open this publication in new window or tab >>Data-Driven Machine Learning Model in District Heating System for Heat Load Prediction: A Comparison Study
2016 (English)In: Applied Computational Intelligence and Soft Computing, ISSN 1687-9724, E-ISSN 1687-9732, article id 3403150Article in journal (Refereed) Published
Abstract [en]

We present our data-driven supervised machine-learning (ML) model to predict heat load for buildings in a district heating system (DHS). Even though ML has been used as an approach to heat load prediction in literature, it is hard to select an approach that will qualify as a solution for our case as existing solutions are quite problem specific. For that reason, we compared and evaluated three ML algorithms within a framework on operational data from a DH system in order to generate the required prediction model. The algorithms examined are Support Vector Regression (SVR), Partial Least Square (PLS), and random forest (RF). We use the data collected from buildings at several locations for a period of 29 weeks. Concerning the accuracy of predicting the heat load, we evaluate the performance of the proposed algorithms using mean absolute error (MAE), mean absolute percentage error (MAPE), and correlation coefficient. In order to determine which algorithm had the best accuracy, we conducted performance comparison among these ML algorithms. The comparison of the algorithms indicates that, for DH heat load prediction, SVR method presented in this paper is the most efficient one out of the three also compared to other methods found in the literature.

National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
urn:nbn:se:lnu:diva-67457 (URN)10.1155/2016/3403150 (DOI)
Available from: 2017-08-28 Created: 2017-08-28 Last updated: 2018-01-13Bibliographically approved
Dalipi, F. & Yayilgan, S. Y. (2016). Security and Privacy Considerations for IoT Application on Smart Grids: Survey and Research Challenges. In: 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW): . Paper presented at 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), 22-24 Aug. 2016, Vienna, Austria (pp. 63-68).
Open this publication in new window or tab >>Security and Privacy Considerations for IoT Application on Smart Grids: Survey and Research Challenges
2016 (English)In: 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), 2016, p. 63-68Conference paper, Published paper (Refereed)
Abstract [en]

The emergence and evolution of Internet of Things (IoT) offers great advantages to improve substantially the management over electricity consumption and distribution to the benefit of consumers, suppliers and grid operators. However, introducing IoT related devices and technologies in smart grids might lead to new security and privacy challenges. Though necessary technological innovations to ensure secure communication are being developed, more work is still required towards more secure standards for communication between devices and Smart Grids. This paper provides an overview about the security and privacy challenges of IoT applications in smart grids. Furthermore, we highlight and analyze some solutions and practices being used to cope with security and privacy requirements for IoT on deployment and management of smart grid. We address three types of challenge domains: customer domain, information and communication domain, and the grid domain.

Keyword
Internet of Things;data privacy;power consumption;power engineering computing;power system management;security of data;smart power grids;Internet of Things;IoT applications;communication security;customer domain;electricity consumption;electricity distribution;grid domain;information and communication domain;privacy challenges;security challenges;smart grid deployment;smart grid management;technological innovations;IoT;challenges;privacy;security;smart grid
National Category
Information Systems, Social aspects
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
urn:nbn:se:lnu:diva-67876 (URN)10.1109/W-FiCloud.2016.28 (DOI)978-1-5090-3947-0 (ISBN)978-1-5090-3946-3 (ISBN)
Conference
2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), 22-24 Aug. 2016, Vienna, Austria
Available from: 2017-09-08 Created: 2017-09-08 Last updated: 2017-09-18Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-7520-695x

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