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Sökning: WFRF:(Dalipi Fisnik)

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1.
  • Abraham, Doney, et al. (författare)
  • Security and Privacy issues in IoT based Smart Grids : A case study in a digital substation
  • 2022. - 1
  • Ingår i: Holistic Approach for Decision Making Towards Designing Smart Cities. - Switzerland : Springer. - 9783030855659 - 9783030855666 ; , s. 57-74
  • Bokkapitel (refereegranskat)abstract
    • Smart Grid is one of the increasingly used critical infrastruc- ture that is essential for the functioning of a country. This coupled with Internet of Things (IoT) has huge potentials in several areas such as re- mote monitoring and managing of electricity distribution, traffic signs, traffic congestion, parking spaces, road warnings and even early detection of power influxes as a result of natural disasters, safety failures, equip- ment failures or carelessness. Despite the advantages of Smart Grids, there are security threats, privacy concerns and still open challenges re- lated to these issues in Smart Grids. This chapter seeks to provide a review of the security and privacy perspectives inherent in IoT enabled Smart Grids. Firstly the chapter explores the functionalities of Smart Grids as opposed to a traditional grid. Next the chapter provides an overview of Smart Grid architectures followed by positioning IoT con- cept into Smart Grid with a focus on architectures. Then, the proposed approach for identifying threats and attacks in IoT enabled Smart Grid, namely the security pyramid is presented. Lastly, we work on identifying the possible threats and attacks in the digital substation use case.
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2.
  • Abualrob, Marwan, et al. (författare)
  • Utilizing Augmented Reality to Enhance Twenty-First Century Skills in Chemistry Education
  • 2023
  • Ingår i: 2023 IEEE Global Engineering Education Conference (EDUCON), Kuwait. - : IEEE. - 9798350399431 - 9798350399448 ; , s. 1-6
  • Konferensbidrag (refereegranskat)abstract
    • Numerous studies have shown that mobile devices like smartphones play a significant role in education these days, and it's clear that the influence and benefits of these devices regarding the potential for pedagogical perspectives are obvious. Mobile learning allows for flexibility by eliminating the need for learning to happen at a particular time and place. Moreover, mobile devices that can support Augmented Reality (AR) are becoming more powerful, less expensive and quite useful in the education process. In this paper, we conduct a study where mobile AR application alongside project-based learning is utilized in a classroom setting, where interviews are administered to understand the K-12 students' attitude towards the educational model based on mobile AR for enhancing the twenty-first century skills in chemistry education. The interviews are conducted with thirty students and their teacher who teaches them chemistry course. Four skills are investigated and discussed, i.e., innovation and creativity, critical skills and problem solving, communication and collaboration, and information culture. Based on the research findings, some recommendations are provided. Furthermore, in the scope of Agenda 2030 for Palestine, we believe these findings could serve as a basis for developing practical policy interventions attributed to enhancing the educational system with emerging technologies.
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3.
  • Ahmed, Salah Uddin, et al. (författare)
  • Plugin : a Crowdsourcing Mobile App for Easy Discovery of Public Charging Outlets
  • 2019
  • Ingår i: HCI International 2019. - Cham : Springer. - 9783030235253 - 9783030235246 ; , s. 323-329
  • Konferensbidrag (refereegranskat)abstract
    • Nowadays, the growth of mobile apps is so fast and viral; they have the potential of transforming our everyday lives by creating huge opportunities to individuals and businesses. This translates into a growing demand for developing such apps, which need to be easy to learn and use. In this paper, we conduct an evaluation of an android mobile app, which we designed and developed to find and register power outlets in public spaces. Our evaluation of the prototype consisted of two stages. First, we provided the users with two tasks, with an additional option to indicate their perception of how easy it was to complete these tasks. Second, upon completing both tasks and offering their comments, participants were asked to take the SUS (System Usability Scores) questionnaire. The results of the evaluation indicate that the app usability and learnability is acceptable despite being a prototype. The findings and participants’ comments give us a direction on how this app can be improved in the future.
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4.
  • Amerian, Irsa, et al. (författare)
  • Data Driven Transformation Journey through Data Democracy : A Case Study of a Swedish Bank
  • 2022
  • Ingår i: Proceedings of the 15th IADIS international conference, Inforamtion system 2022. - : IADIS Press. - 9789898704375 ; , s. 65-72
  • Konferensbidrag (refereegranskat)abstract
    • Nowadays, data has emerged as a resource of prime importance, and an insightful use of it in a data-centric workforce can provide continuous competitive advantage. In their journey of becoming data-driven, many organizations invest in underlying resources and adjust business models accordingly. In the academic literature, the importance of becoming data-driven and utilizing the data analytics tools in achieving the transformation vision has been widely discussed and explored. Nevertheless, when it comes to data democracy and opening the data within organizations, there is still a noticeable gap. The significance of this paper relies on the relevance of empowering organizations toward creating the right instruction on how to achieve data democracy in their data-driven transformation path. By focusing on a case study, this work reveals, among others, the correlation between the benefits from empowering different players of the organization with the needed data knowledge, and the acceleration of the digital transformation journey.
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5.
  • Björklund, Philip, et al. (författare)
  • Exploring the Impact of Mob Programming on the Well-Being of the Developers : Insights from a Software Company
  • 2020
  • Ingår i: Proceedings of the NOKOBIT conference 24-25th of November 2020.
  • Konferensbidrag (refereegranskat)abstract
    • Research has demonstrated that software engineering teams nowadays face numerous challenges that revolve around the well-being (happiness) of the developers. One way to address these challenges can be through Mob Programming (MP). Mob programming represents a novel software development practice where a whole team works together on the same coding problem, at the same time, in the same space and on the same computer. In this study, we investigate the impact of using MP on the well-being of software developers. A qualitative method with semi-structured interviews and observations was applied for its ability to extract in-depth and valuable information. The participants selected for this study derived from four different development teams who worked at Fortnox AB in Växjö, where one of the four development teams used MP on a daily basis and the three other teams practise MP on an occasional basis. A total of 13 interviews were conducted at the company's offices. Thematic analysis is used to organize and create a structure regarding the information from the interviews. Two themes with specific sub-codes are created based on the thematic analysis: Team dynamics and Individual dynamics, which are derived from the interview questionnaire. The study found that the majority of software developers were impacted in a positive way regarding well-being while practising MP. Reduced stress and individual work pressure, and increased social interaction were two of some prominent factors that contributed to this result. However, stress was also found to have negative effects on some developers, which was associated with the constant attention and overlooking by others during the coding process
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6.
  • Dalipi, Fisnik, et al. (författare)
  • A Cloud Computing Framework for Smarter District Heating Systems
  • 2015
  • Ingår i: 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom). - : IEEE. - 9781467372114 - 9781467372121 ; , s. 1413-1416
  • Konferensbidrag (refereegranskat)abstract
    • Nowadays, EU is supporting various projects to motivate and support citizen’s behavioral to achieve greater energy efficiency in district heating systems by taking advantage of ICT while ensuring energy savings from this new ICT-enabled solutions are greater than the cost for the provision of the services. Modern heating networks requires tools for constant monitoring and control of the network to ensure high effectiveness and reliability. Therefore, a flexible and efficient distributed data collection and storage, that operates with diverse sensors and via different types of networks is required. Moreover, such a system needs to be highly dependable, and separate parts of the system should operate even if the communication is lost. Cloud computing has an answer for this enormous network of computing resources and storage needs, since it has several good properties such as being energy saving, cost saving, agile, scalable, and flexible. In this paper, we propose a cloud computing based framework that integrates all the required advanced communication technologies to create an intelligent district heating network.
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7.
  • Dalipi, Fisnik, et al. (författare)
  • A machine learning approach to increase energy efficiency in district heating systems
  • 2015
  • Ingår i: Environmental Engineering and Computer Application. - Hong kong : CRC Press. - 9781138028074 - 9781315685380 ; , s. 223-226
  • Konferensbidrag (refereegranskat)abstract
    • Heat demand prediction is an important part of increasing system efficiency within district heating. To achieve this efficiency, the energy provider companies need to estimate how much energy is re quired to satisfy the market demand. In this paper, we propose a method to investigate the application of online ma chine learning algorithm to achieve energy efficiency and optimization in District Heating (DH) systems by predicting the heat demand on the consumer side. To accomplish this, we are planning to use operational data from a Norwegian company (EffektivEnergi AS, Hamar) for a group of buildings that are connected to DH in other places.
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8.
  • Dalipi, Fisnik, et al. (författare)
  • An Analysis of Learner Experience with MOOCs in Mobile and Desktop Learning Environment
  • 2017
  • Ingår i: Learning and Collaboration Technologies. LCT 2016. - Orlando, USA : Springer. - 9783319394824 - 9783319394831 ; , s. 393-402
  • Konferensbidrag (refereegranskat)abstract
    • 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.
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9.
  • Dalipi, Fisnik, et al. (författare)
  • An intelligent model for predicting the occurrence of skiing injuries
  • 2015
  • Ingår i: 2015 5th National Symposium on Information Technology: Towards New Smart World (NSITNSW). - : IEEE. - 9781479976263 - 9781479976256 ; , s. 1-6
  • Konferensbidrag (refereegranskat)abstract
    • Artificial neural networks offer a unique way to model very complex and innovative systems that can be very effective in anticipating various accident severities. In this article, we propose a neural-network-based model, able to predict the number of severe injuries caused while skiing. The proposed system is intended for use by ski patrol and medical personnel to better prepare themselves in advance for treating ski-injured persons. The ski patrol and any other medical personnel will be able to know the statistics, type and severity of the injuries occurred, and most importantly, will be benefiting from having predictions for each day. Considering that, the number of injured people in a particular place each day was estimated, the results are very promising suggesting that such a system would prove beneficial in accurately predicting skiing injuries.
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10.
  • Dalipi, Fisnik, Associate professor, et al. (författare)
  • APPEND : A Blockchain-Based Model of Digital Product Passport for Furniture Industry
  • 2024
  • Ingår i: Human Interaction and Emerging Technologies (IHIET-AI 2024): Artificial Intelligence and Future Applications. - : AHFE International. - 9781958651964 ; , s. 95-103
  • Konferensbidrag (refereegranskat)abstract
    • The digital product passport has been introduced as a policy instrument to enable traceability throughout the product life cycle and to support a circular economy. Anyhow, as a relatively new concept, there are a lot of uncertainties throughout the industrial landscape regarding the challenges and opportunities it brings. One such branch of industry is the furniture sector. In this paper, we present a DPP solution for furniture industry based on blockchain technology and inspired by a design thinking mindset. Through a prototype implementation, we highlight the key aspects such as data governance, stakeholder constellation, data interoperability, and data integrity that have significant research potential. Furthermore, we discuss these key concepts of DPP through the lens of eco-design principles in order to promote sustainability, improve energy efficiency, and protect the environment.
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