The Digital City of Zajecar - GIS Smart specialization for waste management, electrical mobility, product recycling, and further application

Digital City of Zajecar - GIS Smart specialization for waste management, electrical mobility, product recycling and further application.

GIS-based development City Zajecar strategy
Sustainable examples and suggestions of technological innovations was presented through the GIS Waste Management Model, electrical mobility, IoT technology in the transport system, and examples of a Circular economy. 

EcoTimOK:
Darko Milosevic, Jugoslav Protic, Miroslav Piljusic, 
Ivana Zivic, Anital Lazarevic, Marina Jovanovic
Contact details: Darko Milosevic, Ph.D.; +381645558581; darkomi.de@gmail.com

The potential for better implementing adequate waste management in urban settlements
In recent years the generation of waste in urban areas of municipalities has increased, accompanying the increase in living standards and urbanization. A shift towards a circular economy, producing less or even no waste, could be the alternative. 

GIS-based development City Zajecar strategy
Sustainable examples and suggestions of technological innovations was presented through the GIS Waste Management Model, electrical mobility, IoT technology in the transport system, and examples of a Circular economy. 

Solution context

The assessment of smart and sustainable cities, however, is a major challenge due to complex, complicated, and chaotic nature of our cities. This makes the available monitoring and evaluation tools difficult to adopt and apply in different urban contexts to support urban planning and governance and foster evidence-based policymaking. In order to address this issue, the paper brings together GIS-based development concept with smart and sustainable cities. GIS-based development is a vision that considers data as the central structuring element of a development strategy.

GIS Nis example

The best way to respond to the waste management challenge for the city of Zajecar is through the process of entrepreneurial discovery. We presented a draft of the Regional Waste Management Plan, given recommendations related to the private-public partnership for the establishment of a Regional Recycling Waste Collection Center. Sustainable examples and suggestions of technological innovations was presented through the GIS Waste Management Model, electrical mobility, IoT technology in the transport system, and examples of a Circular economy. The patented technology converts organic wastes into a biogas that closes the circular economy loop.

Solution description

Smart City Zajecar team solutions include:

• Mapping in GIS, use of drones, video bases and images
• Full digitization (for example, Wildfire location, main landfills, hydrology, geology, annual temperature, agriculture landfill ...).
• Ecological and efficient electric vehicles that enable quick and accurate waste collection.
• Self-contained mobile garbage cans, with a solar panel.

GIS 1: #Zajecar Mapping waste landfill

GIS 2: #Zaječar - Sakupljanje otpada - GIS Mobility koncept

GIS 3: #Zaječar - GIS sistem za sakupljanje otpada

Multi-criteria decision-making approach (MCDM)

Smart integrated multi-modal transport system and waste management platform: collection and disposal of waste. Multi-criteria decision-making approach (MCDM) involves the development of a conceptual framework, the attribution of weights by a panel of experts and the application of the model. The model is composed of 16 sustainability indicators grouped into seven impact areas, including air, energy, soil, water, buildings, transportation, and waste.

Through partnership and access from the bottom to the top, smart specialization brings together local authorities, the academic community, the business sphere, and civil society in their efforts to implement long-term growth strategies. It can significantly contribute to the integrated approach on which macro-regional strategies are based. This process could be coordinated at the local level by accredited regional development agencies from East Serbia, in close cooperation with local economic development offices (LER).

Application documentation GIS Project Zajecar:

Javni poziv grad Zajecar za uvođenje i razvoj geografskih informacionih sistema

Rok za prijavu: nedelja, 30. decembar 2018. 24:00

Reference Darko Milosevic. PhD:

– Digital competence – Creating and deploying Software as a service (SaaS) in various industries (telecom, hotel management, online sales, transport), for the last 9 years.
– Learning to learn – Can achieve a high level of expert knowledge in the company for just a few months. Research and development, operational plan, AIDA concept of re-engineering, reorganization, software development, training.
– A sense of initiative and Entrepreneurship. For the last 20 years, I worked in the family business and successfully ran my own company.
– Disruptive innovation industry. In the period from 2005 to 2011, I led a successful Online Booking system for hotels and competed with companies such as Booking.com, Tripadvisor.com, and Yahoo.com, until Google.com entrance to the marketplace.
– Cultural awareness and expression. Studied in France, Italy, Serbia, plan to continue post-PhD studies in Germany. Also, 5 years a member of the Slovenian Cultural Association “Ivan Cankar”, understand and speak Bulgarian and Polish.
– Successfully combine mathematical and interpersonal skills in the knowledge-based economies

Big Data for Internet of Things: A Survey

Author links open overlay panelMouzhiGe^abHindBangui^abcBarboraBuhnova^ab

https://doi.org/10.1016/j.future.2018.04.053Get rights and content

Highlights

•

Analyzed the state-of-the-art Big Data research in IoT.

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Compared the Big Data technologies across eight IoT domains such as healthcare, transportation, agriculture etc.

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Suggested which Big Data technologies can possibly be used in which IoT domain.

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Interpreted the Big Data research and application opportunities in eight IoT domains.

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Discussed the pros and cons of Big Data technologies in IoT domains.

Abstract

With the rapid development of the Internet of Things (IoT), Big Data technologies have emerged as a critical data analytics tool to bring the knowledge within IoT infrastructures to better meet the purpose of the IoT systems and support critical decision making. Although the topic of Big Data analytics itself is extensively researched, the disparity between IoT domains (such as healthcare, energy, transportation and others) has isolated the evolution of Big Data approaches in each IoT domain. Thus, the mutual understanding across IoT domains can possibly advance the evolution of Big Data research in IoT.

In this work, we therefore conduct a survey on Big Data technologies in different IoT domains to facilitate and stimulate knowledge sharing across the IoT domains. Based on our review, this paper discusses the similarities and differences among Big Data technologies used in different IoT domains, suggests how certain Big Data technology used in one IoT domain can be re-used in another IoT domain, and develops a conceptual framework to outline the critical Big Data technologies across all the reviewed IoT domains.

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Keywords

Big Data

Data analytics

Internet of Things

Healthcare

Energy

Transportation

Building automation

Smart Cities

Dr. Mouzhi Ge is an Assistant Professor at the Faculty of Informatics of the Masaryk University in Czech Republic. Prior to that, he has worked as an Assistant Professor at the Free University of Bolzano in Italy, as a Senior Researcher at the Bundeswehr University Munich in Germany, as an IT Manager at the Oxbridge Investment Ltd. in the UK, as a Postdoctoral Researcher at the Technical University Dortmund in Germany, and as a Visiting Researcher at the University of Milano Bicocca in Italy. He obtained his Ph.D. from the Dublin City University in Ireland in 2009. His research is mainly focused on Big Data, Intelligent Systems, IoT, and Data Management. He has been served as a program committee member and reviewer for different conferences (such as WWW, ICIS, ECIS, SIGIR, ACM SAC, ACM UMAP, EDBT, RecSys etc.) and journals (such as TOIS, IEEE TKDE and JECR etc.). His papers have been published in various International Journals such as International Journal of Human-Computer Studies, Journal of Computer Information Systems, and International Journal of Semantic Computing.

Hind Bangui is currently a Ph.D. student with the Applied Mathematics and Computer Science Laboratory of the Cadi Ayyad University (UCAM) in Morocco. Her research is mainly focused on Mobile cloud computing. She continues with related topic as an exchange Erasmus Ph.D. student with the Laboratory of Software Architectures and Information Systems (LaSArIS) at the Faculty of Informatics of the Masaryk University in Czech Republic. At the same time, she is involved in Big Data project with the Institute of Computer Science of the Masaryk University in Czech Republic.

Dr. Barbora Bühnová is an Assistant Professor in the Faculty of Informatics of the Masaryk University in Czech Republic. She received her Ph.D. degree in computer science at Masaryk University in Brno, Czech Republic in 2008, for application of formal methods in software architecture design. She continued with related topics as a postdoc researcher at University of Karlsruhe and Research Center for Information Technology (FZI) in Karlsruhe, Germany, and later at Swinburne University of Technology in Melbourne, Australia. She has been involved in organization of numerous top conferences (e.g. ICSE, ICSA, ESEC-FSE, QoSA, CBSE, MOBILESoft) and acts as a reviewer and guest editor in multiple journals (e.g. IEEE TSE, Elsevier SCP, Elsevier JSS, Springer SoSyM, Wiley SME). Her papers have been published in various International Journals such as IEEE Transactions on Software Engineering, Journal of Systems and Software, and Software and Systems Modeling.