Ravikiran Annaswamy

Paper# 1570623978

Abstract

The document presents a potentially innovative methodology for carrying out large-scale measurements of radio frequency electromagnetic field. The system consists in performing dynamic measurements using a control unit equipped with the appropriate probes positioned on the roof of a car moving along the territory. Aim of the work is to provide a methodology to assess field strength variability which characterize future 5G scenarios with a combination of measurements carried out in a dynamic way in comparison with the static measurement approach which is commonly adopted for environmental impact assessment. . The possibility to perform massive measurements in a short time could become extremely useful in the next future to evaluate electromagnetic field levels, when the implementation of the new 5G services will lead to an increased complexity in the use of the spectrum and new antenna systems (Active Antenna Systems)

Author(s)

Simona Valbonesi (presenter)

Graduated in Physics in 1994 at the University of Bologna, she obtained the Specialization in Health Physics in 1998 at the same University.
After a brief working experience for the Health Physics Sector of Parma University, from 2000 to 2017 she worked for the Elettra 2000 Consortium, taking care of electromagnetic fields monitoring, health effects and dosimetry collaborating at the same time with FUB in various projects.
From year 2017 she works for Ugo Bordoni Foundation.
In years 2017/2020 she worked on projects concerning the tender for the 5G frequency assignement, the coexistence between fixed systems at 26 GHz and 5G systems, the measurement of the mobile internet services quality and on projects related to the agreement with ARPA Emilia Romagna concerning measurement and dosimetry of radiofrequency electromagnetic fields.
Her research activity mainly concerns the study of the effects of electromagnetic fields with particular reference to the dosimetric aspects
He has published over 30 papers on topics related to electromagnetic fields.

Claudia Carciofi,
Andrea Garzia,
Roberto Franchelli,
Alessandro Gandolfo

Paper# 1570632050

Abstract

Organizations are increasingly relying on intercultural competencies of employees and skills of virtual teams. While on-the-job training can support employees adapting and adoption of these competencies, organizations look to higher education institutions to ensure that the next generation of engineers joining the workforce are prepared in advance. Engineers like other members of the workforce face the same opportunities and challenges that result from globalization, the need for intercultural knowledge and skills [1] [2]. These skills however are not explicitly offered or honed in most post-secondary educational institutions. While many educational institutions offer traditional exchange and travel abroad opportunities to students [5][6], these programs are limited by constraints including time, finances, and other resources [3]. In response, engineering programs are exploring how to harness various technologies to satisfy academic and labor market needs in a scalable manner. The International Virtual Engineering Student Teams (InVEST) initiative supports students in honing their intercultural, global, and virtual team skills. Students working on Research and Capstone projects can enhance their learning by taking the add-on module-based course. The InVEST course is developed using the Knowledge, Community, and Inquiry (KCI) pedagogical model [5] in which students experience the course through a blend of online, social and collaborative experiential learning and synchronous video meetings. The InVEST initiative is designed to address this gap in engineering education, by facilitating development of intercultural skills for future engineers and ensuring that as they enter the global workforce they are better able to tackle challenges both through how they work in virtual teams and what they do as engineers.

Author(s)

Anuli Ndubuisi,  Ph.D. Candidate
Anuli Ndubuisi is a PhD student with University of Toronto’s Ontario Institute for Studies in Education (OISE) with a digital technologies program emphasis and a specialization in engineering education from Faculty of Applied Science and Engineering. Anuli holds a B.Eng. in civil engineering and an MBA for Engineering Business Managers from Manchester University, UK. Anuli began her career with Royal Dutch Shell where she worked for the next 16 years in various capacities. Prior to her studies at OISE, Anuli delivered global technology consulting and both on-site and virtual trainings to engineering projects across multiple countries in the energy industry – from United States, Canada, UK, Nigeria, Netherland, UAE to India. She also led the design and implementation of several knowledge and collaboration systems for production and project engineering communities. Anuli is passionate about learning, research and is interested in the effective use of innovative learning technology and strategies to support virtual teams and engineering education.

Rubaina Khan, Ph.D. Candidate
Rubaina Khan is a current PhD student within the Department of Curriculum, Teaching, and Learning at the Ontario Institute for Studies in Education at the University of Toronto. She is also pursuing a collaborative specialization in Engineering Education. She received a M. Sc. Degree in Computer Control and Automation from the Nanyang Technology University in Singapore in 2008. She went on to work for an MIT research institute in Singapore right after. She spent the next four years in developing navigation technologies for underwater robotics that were used to model and predict environmental issues in the coastal regions of Singapore. As always being interested in the education aspect of engineering, this led her to take up a position as a lecturer in Singapore Polytechnic. She spent the next five years in developing interdisciplinary engineering courses, designing activities to promote engagement and motivation in the classroom and supervise students in their final year projects mainly in robotics. Her current research interest lies at the intersection of engineering education, learning communities, and identity formation.

Elham Marzi Ph.D. 
Elham Marzi Ph.D., is a Teaching Stream faculty member in the Institute for Studies in Transdisciplinary Engineering Education & Practice at the University of Toronto and Principle Investigator for V-GET under the Dean’s Strategic Fund. She teaches in the Engineering Business Program in areas inclusive of Organizational Behaviour, Human Resource Management, Strategy, and Negotiations.  She is highly interested in developing innovative teaching techniques and strategies that can contribute to the students learning and experiences both inside and beyond the classroom. 

Oluwatobi Edun, M.Eng. 
Oluwatobi Edun M.Eng is a BASc ChemE 1T7 + PEY and M.Eng ChemE 1T9 graduate from the University of Toronto with specializations in sustainable energy, engineering business, leadership and entrepreneurship. Edun is presently working towards advancement of student experiential learning as it relates to collaborative engineering in a global context through the InVEST initiative. His passion for community building is embodied in his recognition as one of U of T Engineering’s Grads to Watch 2018 and a Gordon Cressy Student Leadership Award recipient.

Paper#: 1570627887

Abstract

Innovation is crucial for countries to accelerate the development. Especially for emerging countries, it is much more valuable in terms of catching and crossing the countries with higher levels of development. HAVELSAN is a large-scale software defense company that adopted the open innovation concept firstly among the other defense industry companies in Turkey. Training and Simulation Technologies division is one of the most innovative and creative groups that lead on the countless projects on the military domain. This division, adopted innovation entirely, has started to develop numerous of products with innovative ideas. Although innovation is one of the most important elements for digitalization, it alone is not enough to get positive results. Implementation of innovation with the right business model is vital to ensure success.

HAVELSAN determined its business models in the past with the requirements of military sector, which was the targeted for the company to serve the products. Therefore, this causes current business models used in the company are lacking in providing the products realized with innovation to the market and enabling them to succeed.

The products could be served in different sectors, so there was a need to review current business models that the company used and add new ones in order to enable to meet the requirements of the business model innovation in new technologies. Therefore, the roadmap was determined and the listed steps were completed; firstly, the current used models, which had deficiencies taking places in the market successfully, used in the company were reviewed.
Then, the new business model innovation is decided; which lead company to reach the new markets successfully. Lastly, the new business models applied to the products and these successful models are disseminated throughout the company. In this article, this process will be explained.

Author(s)

Arif Furkan Mendi
Arif Furkan Mendi has graduated from Hacettepe University Information Systems Masters and Bahçeşehir MBA after graduating from Bilkent University Department of Electrical and Electronics Engineering in 2011. Mendi started working at Turkish Defence Industry Software Company HAVELSAN in 2012, has been involved in many projects as a software engineer and project manager. In the last two years, he has been working as a technology and innovation senior engineer and has been studying emerging technologies. He is also working on the creation of national and international R&D projects. He is a referee in many national and international research projects and scientific journals. Mendi, who has more than 20 academic studies and 3 patent works, has given seminars as a speaker in many universities. He continues his Ph.D. and plans to graduate at the end of this year.

Mehmet Akif Nacar

Muhittin Solmaz

Paper#: 1570622931

Abstract

In the last years, the servitization is emerging as a new business model in the manufacturing sector, pushed by its promises of allowing to pay machines based on their actual use. Servitization is based on the recording of important events related to machine usage, such as the type and time of used tools and the type of materials processed. However, actors involved in the servitization should either trust one each other or rely on a third-party authority to store machine usage statistics in a secure and non-repudiable manner.

The paper presents a novel solution adopting Blockchain in the ice cream market to leverage the servitization of ice cream machines, involving machine manufacturers, ice cream refill producers, and ice cream makers. The proposed solution exploits the amount of used refills as the metric of machine usage and ensures that involved actors are aware of every refill procedure. In addition, it ensures the privacy of business-relevant information, e.g., by avoiding that two refill producers are reciprocally aware of the amount of sold refills. While targeting the ice cream supply chain, our solution may represent a reference model for servitization even for other market sectors.  Finally, performance results based on a working prototype demonstrate the feasibility of the proposed solution even on resource constrained devices. 

Author(s)

Eugenio Balistri

Francesco Casellato

Carlo Giannelli
CARLO GIANNELLI (Senior Member, IEEE) received the Ph.D. degree in computer engineering from the University of Bologna, Italy, in 2008. He is currently an Associate Professor in computer science with the University of Ferrara, Italy. His primary research activities focus on the industrial Internet of Things, software-defined networking, blockchain technologies, location-based services, heterogeneous wireless interface integration, and hybrid infrastructure/ad hoc and spontaneous multi-hop networking environments based on social relationships.

Roberto Lazzarini

Cedric Franck Ngatcha Keyi

Cesare Stefanelli

Paper#: 1570623272

Abstract

The advent of distributed ledger technology in developed nations is emerging as a new instrument to improve the traditional industry system in the developing states. The adoption of disruptive technology is indeed a necessary condition for the coming future to bring transparency and remove third party trust related issues in the industries. The aim of the current study is to understand the distributed ledger technology (DLT) adoption by service & manufacturing industries-Pakistan context. The conceptual model is based on the traditional adoption theories- namely theory of planned behavior (TPB), technology acceptance model (TAM) and technology readiness index (TRI). In order to analyze the data a partial least square structural equation modeling (PLS-SEM) is used and empirical data is collected from a sample of 211 practitioners working in the Finance, Supply chain and IT Departments. The study result shows that TRI construct- Optimism (OPT) and Innovativeness (INN) have significant impact on Perceived ease of use (PEOU) and insignificant impact on Perceived usefulness (PU). TAM construct- Perceived ease of use (PEOU), Perceived usefulness (PU), attitude (ATT) and TPB- construct perceived behavioral control (BPC) affect the Behavioral Intention (BI). TPB construct-Subjective Norms (SN) have negligible impact on the Behavioral Intention (BI). It is one of the initial studies on Blockchain Technology implementation for Pakistan industries and the result suggest that practitioners would perceive Blockchain Technology adoption free of efforts to arise the maximum benefits for improving the productions efficiency.

Author(s)

Nazir Ullah
Nazir Ullah is currently PhD Scholar at School of Management Science and Engineering, Nanjing University, China. He has completed his MBA degree from International Islamic University, Islamabad. He has several publications in international journals and conferences.

Paper# : 1761114

Abstract:

Cleanliness and recycling is a crucial matter for
modern cities. As there is an obvious and increasing need to
preserve valuable resources and reduce waste and pollution,
research is vivid in this area. In this paper, we present our
innovative project, the Smartbin, which is using state of the art
approaches of Internet of Things (Iot) and waste classification.
The design of the system permits the low-cost manufacturing
of the final product, while uses state of the art technologies
such as neural networks and the LoRaWAN protocol. We have
implemented environmental friendly and low-cost Smart Bin
prototypes, where the users can monitor each bin and be notified
for incidents requiring their attention. The system also remotely
transmits valuable data to the corresponding authorities, which
can improve their effectiveness in waste management.

Authors

Dimitris Ziouzios
Dimitris Ziouzios is a researcher and Ph.D. candidate at the department of Electrical and Computer Engineering (ECE) at the University of Western Macedonia (UoWM) under the supervision of Dr. Minas Dasygenis. His main research interests include hardware accelerators, accelerated computer vision, robotics, Internet of Things (IoT) and embedded systems. He is also interested in robotic kinematics in the field of environment. He is a member of the Laboratory of Digital Systems and Computer Architecture and he is assisting in several undergraduate ECE courses, namely Computer Architecture, Embedded Systems, Operating Systems and Parallel & Distributed Computing. 

Nikolaos Baras,
Minas Dasygenis,
Athanasios Manavis,
Charilaos Vanidis,
Constantinos Tsanaktsidis,

Paper# : 1570631616

Authors

Filippo Bosi

Antonio Corradi
Antonio Corradi received the degree from the University of Bologna, Italy, and the degree in electrical engineering from Cornell University, USA. He has been a Full Professor of computer engineering in the area of computer networks and middleware for distributed systems with the University of Bologna since 2000. He has served in many roles in editing activities and research ones. In the last decade, he also acted in technology transfer. He is the Head of the CLUSTER “Innovation in Services” for Regione Emilia Romagna, and also devoted to enhance internationalization strategies for the University of Bologna. His research interests include distributed systems, middleware for pervasive and heterogeneous computing, infrastructure for services, cloud solutions and federation standards, mobile systems and social applications for smart cities, industry 4.0 support and protocol, and smart city monitoring and crowdsourcing.

Giuseppe Di Modica
Giuseppe Di Modica is an assistant professor at the Department of Computer Engineering, University of Bologna (Italy). In 2005 he received the Ph.D. in Computer Science and Telecommunication Engineering from the University of Catania (Italy). Since then, he has been engaged in research activities focused on Mobile Agents, Ad-hoc Networks, Wireless Sensor Networks, Mobile Computing, Service Oriented Architectures and Grids. His current research interests include Cloud Computing, IoT, Edge/Fog Computing and Big Data.

Luca Foschini
Luca Foschini received the Ph.D.degree in computer engineering from the University of Bologna in 2007. He is currently an Assistant Professor of computer engineering with the University of Bologna. His research interests include distributed systems and solutions for system and service management, management of cloud computing, context data distribution platforms for smart city scenarios,context-aware session control, mobile edge computing, and mobile crowdsensing and crowdsourcing. He is also a member of ACM. Among others, he serves on the Editorial Board of the IGI IJHCR and Hindawi IJDSN and WCMC. He has served as a guest editor for various journal special issues in his topics of interest.

Rebecca Montanari
Rebecca Montanari received the Ph.D.degree in computer science engineering from theUniversity of Bologna, in 2001. She is currently an Associate Professor of computer engineering with the University of Bologna. Her research primarily focuses on semantic-based middleware supports for service provisioning, context-aware services, security solutions for pervasive environments, policy-based service management, and adaptive and scalable middleware solutions for systems and service management

Lorenzo Patera
Lorenzo Patera received the M.Sc. degree in computer science engineering from the University of Bologna, Italy. He is currently a Ph.D. student in computer science and engineering with the University of Bologna. His research interests include Cloud and Fog computing, middleware for Industry 4.0 applications, Internet of Things

Michele Solimando
Michele Solimando received the master’s degree in computer science engineering from the University of Bologna, Italy, in 2016, where he is currently pursuing the Ph.D. degree. His research activity focuses on Industry 4.0, cloud and fog computing scenarios, multi-access edge computing, IoT, crowd-sensing, and big data.