|PLENARNA ISTAKNUTA PREDAVANJA
|Tuan Trinh (European Institute of Innovation & Technology - EIT Digital, Brussels, Belgium)
Blockchain Technology in Smart Digital Ecosystems
|Nena Dokuzov (Ministry of Economic Development and Technology, Republic of Slovenia, Ljubljana)
European Blockchain Partnership - Recent Developments towards More Resilient and Sustainable Europe
|Tadej Slapnik (Tolar io, Slovenske Konjice, Slovenia)
Distributed Open Metaverse and NFTs for Industry & Businesses
|Velimir Srića (Faculty of Economics and Business, Zagreb)
Social Innovation - a Driver of Industry 5.0
|Drago Cmuk (CADCAM Design Centar d.o.o., Zagreb)
Nadomak Industrije 5.0: modeliranje proizvodnje i digitalni blizanci
|Tajana Kesić Šapić (Croatian Chamber of Economy, Industry and Sustainable Development Sector, Zagreb), Tomislav Bronzin (Citus and Croatian Chamber of Economy, IT Association, Zagreb)
Digitalno i kreativno društvo u novoj Strategiji pametne specijalizacije
|Aleksandar Roksandić (King ICT d.o.o., Zagreb)
INUKING - Interoperability of Critical Infrastructure Subsystems in Cloud Environment
|Ivan Šeparović (Siemens Energy d.o.o., Zagreb)
Projekt naprednih mreža SINCRO-GRID
|Vjekoslav Diklić (dSpace Engineering d.o.o., Zagreb)
Simulacija vozila i prometa dSPACE alatima
|I. Cvitanović (Agenor automatika d.o.o., Zagreb, Croatia), M. Seder (Innovation Centre Nikola Tesla, Zagreb, Croatia)
Autonomna izgradnja topologije industrijskih prostora za automatski vođena vozila
U ovom radu riječ je o automatizaciji logističkih procesa u industriji s naglaskom na autonomnu izgradnju topologije za automatski vođena vozila (AGV). Opisan je OPIL, odnosno otvorena platforma za inovacije u logistici, koja služi za unaprjeđenje logističkih sektora u malim i srednjim poduzećima. Također, dan je sažet pregled vrsta automatski vođenih vozila koja se koriste u industriji i polako zamjenjuju čovjeka. Kao glavni dio rada opisan je razvoj programske podrške za izradu karte za kretanje AGV-ova u skladištima. Opisan je postupak izrade i svi bitni dijelovi programskog koda, te rezultati algoritma prikazani na različitim tlocrtima tvornica.
|M. Radovan, B. Tomaš, N. Vrček (Faculty of Organization and Informatics, Varaždin, Croatia)
Intelligent Road Traffic Solutions and Technologies – A Review of Research Field
Intersections, lane assignment and care of pedestrians are some of basic challenges of road traffic in and around the big cities. Classic solutions, made a many decades ago, based on priority right rules and time-managed schedule using traffic lights, are not enough satisfying, and quantity of vehicles is faster than development of road infrastructure. In order to decrease air pollution, traffic congestion and number of cars in the cities, there is necessary to invent and implement new approach to passenger-car interaction. Internet of Things and intelligent traffic solutions are trying to solve these problems using new smart technologies in autonomous driving, such a Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) technologies and protocols based on fast communication using DSRC (Dedicated Short-Range Communication) or 5G, within AI (Artificial intelligence) in the background. Number of these solutions were researched, simulated, presented, published, or even patented in last 10-15 years. Goal of this paper is to make review of relevant research works – architectures, requirements, challenges, solutions, but also proposal for the improvements or for new development in direction of optimizing traffic efficiency and safety.
|B. Memić, S. Čaušević, A. Hasković Džubur, M. Begović (University of Sarajevo Faculty of traffic and communication, Sarajevo, Bosnia and Herzegovina)
Green IoT in Terms of System Approach
The Internet of Things (IoT) is a paradigm that aims to connect billions of devices to each other, anywhere and anytime. As IoT will be a ubiquitous technology, its sustainability and environmental impact are very important. Green IoT is considered the ecological future of IoT and plays an important role in which it contributes to improving the quality of life and providing a safe and healthy environment and ecosystem. A systems approach, based on the application of systems knowledge, appropriate methods and tools, provides the basis for observing green IoT through several different aspects by looking at the whole life cycle. This paper focuses on research into green technologies, green applications as well as green IoT infrastructure. It should be noted that this research does not cover the details of the IoT network and the perspective of connectivity, but focuses on the green aspect of the IoT network related to the creation of a hierarchical framework for green IoT. The proposed framework represents a unique view on the implementation of different approaches within green IoT systems, which are focused on the conservation of natural resources, in a way to minimize the impact of technology on human health and the environment.
|J. Babić, M. Bilić, I. Kovač (KONČAR - Electrical Engineering Institute Ltd., Zagreb, Croatia, Zagreb, Croatia)
Safety Vest System for Human-Robot Collaboration
Safety Vest System (SVS) enables safe collaboration between humans and robots in an economical and scalable manner. It provides a third option to what is currently a dilemma between separation of human workers from robots and equipping machines with expensive safety sensors. This paper presents the safety concept behind the SVS, its architecture and technology, and gives a glimpse into how it was developed. The system consists of three devices: one fixed Base Station, Safety Vests worn by humans, and Emergency Stop Modules (ESM) installed in all the robots. Base Station ensures that human entering dangerous area passes safe entry procedure and monitors Safety Vest’s health during the mission. Safety Vest communicates with ESMs via Ultra-Wide Band radio which enables them to determine distance to the human. If this distance falls below predetermined threshold, ESM can initiate appropriate reaction such as slowing down of the robot or a complete stop. The system was developed in context of automated warehouses which have fleets of automated guided vehicles that transfer modular portable racks but has many other potential applications, wherever humans and machines share workspace.
|A. Bochem (University of Goettingen, Institute for Computer Science, Goettingen, Germany), A. Abugabah (Zayed University , Abu Dhabi, United Arab Emirates), A. Al Smadi (Xidian University, School of Artificial Intelligence, Xidian, China)
Smart RFID Application in Health Care: Using RFID Technology for Smart Inventory and Logistic Systems in Hospitals
In today’s hospital environments, many medical devices and tools are used. While some of these will be stationary due to size and bulk, many devices can also be moved from room to room. To facilitate an efficiently running hospital environment and protect expensive devices from being lost, it is important to keep track of the whereabouts of every medical device or utensil. We propose an RFID based system with a smartphone application based frontend for tracking the locations of medical devices and utensils in a hospital environment, both enabling medical professionals to quickly locate required devices as well as allowing hospital administration to keep track of when and where devices leave hospital premises, optionally alerting security after a configurable grace period. In addition to this, our proposed application allows doctors and other medical personal to reserve equipment and rooms such as examination or operating rooms and to easily find which rooms or pieces of equipment are available at a given time. This reduces administrative overhead and allows a smoother operation of the hospital, where efficiency is needed not only for the sake of profits but also to ensure the continued well-being of patients.
|S. Friesen, T. Runzheimer, R. Blum, J. Milde (Fulda University of Applied Sciences, Fulda, Germany)
A VR Based Mobile Usability Lab To Study Multi-Modal Human Robot Communication
In this paper we describe the development of a VR-based mobile usability lab to study multi modal human robot interaction. Our work is part of a 3 years multi party project, that targets the development of the CityBot, an autonomous modular mobile robot vehicle. The human robot interaction with the CityBot is planned to be multi modal: speech and gestures are going to be used for instructing and guiding the robot. In order to effectivly perform usability experiments and collect speech and gestural data, we developed a mobile VR simulation system of the CityBot in its environment.
|D. Bačnar (University of Rijeka Faculty of Engineering, Rijeka, Croatia), L. Leytner (University of Angers Polytech, Angers, France), N. Stojković, J. Lerga (University of Rijeka Faculty of Engineering, Rijeka, Croatia)
An Insight into Communication Technologies Utilized in Smart Metering Systems
This paper presents an insight into the smart metering field. The paper address specifics of different network hierarchy structures (wide area networks, neighborhood area networks, and home area networks) and topologies used for this purpose (mesh, point-to-point, virtual point-to-point, or broadcast networks). Next, we focus on listing and describing some of the most commonly used communication technologies (both wired and wireless, such as power line communication, public switched telephone network, digital subscriber line, radiofrequency, in-home radio frequency, wireless local area network, or mobile network communications), their characteristics, advantages, and disadvantages utilized for remote and smart metering.
|L. Budin, I. Duilo, M. Delimar (University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia)
Day-ahead Multiple Households Load Forecasting Using Deep Learning and Unsupervised Clustering
The share of Renewable Energy Sources (RES) in modern power systems shows a significant rising trend. Due to RES production variability, as well as the stochastic nature of the consumption side, accurate forecasting models are paramount for grid operation. Load and photovoltaic (PV) generation forecasting models are used in Energy Management Systems (EMS) for optimizing the energy balance between the distribution grid and households (energy communities) with PV and battery systems. Load forecasting difficulty increases with the reduction of the number of observed objects (multiple to individual households), as well as with an increase of the timeseries resolution (daily to 1h or intra-hour). This paper presents a comparison of supervised deep learning models for 24h ahead load forecast at 1h resolution of 12 aggregated households. Raw data is preprocessed, and the resulting dataset contains a total of 286 days with uninterrupted 24h sequences. Hyperparameters of the forecasting models are optimized using Keras Tuner in Python. The obtained results are analyzed and compared before and after using unsupervised clustering as additional input features.
|J. Hejjová, J. Bucko, E. Exenberger (Technical university of Košice, Faculty of Economics, Košice, Slovakia)
Disaggregation Technology as a Facilitator of Desired Behavioral Change. Case of Energy Efficiency in Slovakia
Electricity is the essential ingredient of human race progress. But the countless advantages of our inventions are accompanied by their dark side effects. Burning fossil fuels to generate electricity belongs to major factors causing environmental deterioration, therefore effectivity in electricity consumption is among the areas, which address the problem. Our study deals with behavior changes related to simple access to the user-friendly presentation of disaggregated data on energy consumption enabled by Bidgely technology. The study includes consumers from Slovakia and our presumptions are based on the recognized behavioral principles. The research consists of 2 parts. The 1st phase, where we have compared consumers’ electricity consumption before access to disaggregated data to consumption after activation of the Bidgely, has been inspired by the study carried out in California. Our aim was to confirm the trend in Slovakia as a representative of the Central European Region, based on the insight, that energy consumption is strongly influenced by climate conditions. In the 2nd phase of our research, we have dived deeper into data available to examine the relationship between consumers’ behavior in energy efficiency and the demography factor of age.
|L. Župan, I. Ostheimer, F. Horvat, M. Vukobratović (Base58 Ltd., Osijek, Croatia)
Small Energy Prosumer Revenue Diversification with ASIC Hardware
This paper observes the market participation possibilities of a small electricity producer with its own electricity consumption - prosumer. Based on actual 10-minute measurements of consumption and production for a household with an installed PV system, and taking into account the current legal and regulatory framework in the Republic of Croatia, this paper proposes a solution for net producers - the prosumers who on annual level deliver more energy to the grid than they take from the power supplier. By using ASIC hardware in the optimal mode for observed household, it is possible to significantly increase the revenue of the prosumer while simultaneously have a favorable effect on the power network. With precise methodology and data validation, this paper indicates how the integration of a managed ASIC consumption unit into each prosumer node enables more harmonious cooperation with the supplier, while creating an additional revenue stream for the end users of the network. In addition to the presentation of models, calculations, and results, the paper presents the possibility of combining approaches and forming energy communities based on the consolidation of ASIC hardware with the aim of joint market performance.
|Z. Tabak (Elektroprivreda HZ HB, Mostar, Bosnia and Herzegovina), H. Keko, S. Sučić (KONČAR - Digital d.o.o., Zagreb, Croatia)
Semantic Data Integration in Upgrading Hydro Power Plants Cyber Security
In the recent years, we have witnessed quite notable cyber-attacks targeting industrial automation control systems. Upgrading their cyber security is a challenge, not only due to long equipment lifetimes and legacy protocols originally designed to run in air-gapped networks. Even where multiple data sources are available, the data interpretation unified across the data sources remains a challenge. In a modern hydro power plant, the data sources range from the classical distributed control systems to newer IoT-based data sources, embedded directly within the plant equipment and deeply integrated in the process. However, the abundance of collected data does not solve the security problems: the semantic interpretation of these data is typically limited as the data is effectively siloed. This paper proposes a concept for semantic integration of diverse data sources, in the context of a hydro power plant. The proposed integration elevates the data interoperability, effectively paving the way to opening the data siloes and allowing ingestion of complementary data sources. The principal aim of the proposed interoperability is to support data-enhanced cyber security in hydro power plants. The opening of data siloes enables the additional utilization of diverse data sources already existing within the hydro power plant, including the utilization of machine learning techniques on such structured and semantically enriched data.
|L. Luttenberger Marić, H. Keko, S. Sučić (Končar DIGITAL, Zagreb, Croatia)
Semantic Alignment in Monitoring and Verification of Energy Savings Achieved by Demand Response Flexibility Programs
Smart grids and systems envision systematic integration of flexibility achieved through demand response programs at end-users’ premises. Particularly interesting is the flexibility achieved from heterogenous sources such as residential consumers. Aggregators are expected to collect the flexibility from the residential consumers under contracted conditions and offer the aggregated flexibility by providing ancillary services to balance responsible parties. Additionally, aggregators of flexibility are expected to deliver flexibility programs rules (notification prior to a flexibility event, eligibility, rewards, penalties) respectively aligned with operating conditions, perform planning and forecasting of demand response flexibility and determine effectiveness of flexibility programs. The flexibility programs could also result in permanent energy savings which must be properly assessed. Monitoring and verification for demand response are imperative to determine demand reduction quantities in the context of settlement and impact estimation.
Communication and information technologies incorporated into flexibility programs should allow real-time telemetry and event driven information of realized active demand response by remote control over specific customer equipment (flexibility assets). Load reductions achieved through the flexibility programs are not capable of being directly metered or observed. However, communication and information technologies should be capable of registering such event and such information should be properly identified. This paper analyses the capability for monitoring and verification of demand response of commonly adopted communication protocols (i.e OpenADR Open Automated Demand Response) and addresses the needs for proper semantic alignments. Such communication standards should have the ability for direct load control program accomplishment. For the demand response value chain to be fully functional, the paper also discusses the requirements for semantic interoperability among the above-mentioned entities.
|B. Bijelić, M. Hercog, G. Horvat, I. Ostheimer, M. Vukobratović (Base58 Ltd., Osijek, Croatia)
Modeling Energy Aspects of ASIC Hardware for PoW Applications
Blockchain validation hardware requires considerable amount of energy to perform computational operations for its main purpose. Computational performance is equally important as energy consumption for profitable operation. Goal of this paper is to experimentally determine electrical and computational values and compare them with data provided by the manufacturer. First, theoretical model is defined. It describes electrical and computational values which are observed in this research and provides context to the reader why this metrics are important. Furthermore, laboratory environment in which experiment is done and methodology are explained. To answer question whether manufacturer data is to be trusted, three different models of ASIC hardware are put under test. Extensive tests determined that experimentally obtained data is in accordance with manufacturer provided data.
|M. Curavić (IT Sistemi, Split, Croatia), Z. Mavretić (eVision, Zagreb, Croatia), I. Duilo, L. Budin, M. Delimar (Faculty of Electrical Engineering and Computing, Zagreb, Croatia)
Blockchain Application in Digital Platform FieldWork 4 RES Used for Planning and Realization of Renewable Energy Sources Projects
Considering the global warming and negative effects of greenhouse gasses on the Earth’s atmosphere, renewable energy sources (RES) are of key importance for the planet’s sustainability. In a view of the EU’s 2050 long-term strategy, it is expected that the RES capacities will continue to rise significantly, as one of the main goals of the strategy is to fully decarbonize Europe’s energy supply. This paper describes a FieldWork 4 RES system intended for providing the application support for planning and realization of RES projects, from their infrastructure construction until asset management and maintenance. The main objective of the FieldWork 4 RES platform is to tackle the problems of legal inconsistencies and uncertainties, administrative complexities, and a long journey from idea to execution when dealing with RES projects. FieldWork 4 RES system uses Common Data Environment (CDE) concept and is based upon a clearly defined catalog for construction and maintenance of RES power plants. The system is designed as a support application for monitoring and managing existing business processes which consist of multiple modules. That ensures adaptability to each business scenario and different types of users from RES developers to contractors and project offices.
|I. Ostheimer, G. Horvat, M. Vukobratović, B. Bijelić, Z. Balkić (Base58 d.o.o., Osijek, Croatia)
PoW Blockchain Infrastructure as a Novel Approach to Power System Balancing
With the introduction of distributed generation, the power system faces new challenges related to the stability that may result in potential power outages and blackouts. New infrastructures, such as Blockchain Infrastructure (BCI), amplifies the impact on the power system stability by introducing significant power demand. Power system balancing techniques often include power reductions targeted at the customer side, presenting an unwanted effect for end users. Accordingly, this paper proposes a novel approach to providing power system balancing services by utilising a manageable BCI. To validate the balancing principle of BCI, research presented by this paper models BCI hardware by means of parameter identification, model proposal and scale-up to verify technical requirements for providing balancing services in the power system. By scale-up simulation and comparison with technical requirements, BCI fulfils fundamental requirements for providing balancing services. With integration of a control mechanism, a secondary, automatic frequency restoration reserve can be provided, improving power system stability and mitigating potential adverse effects of BCI’s high energy usage.
|I. Ostheimer, L. Župan, M. Vukobratović, G. Horvat, Z. Balkić (Base58 Ltd, Osijek, Croatia)
Energy to Digital Asset Conversion as a Business Model for Complex Energy Systems
In this paper, a business model for complex energy systems based on the currently most efficient conversion of electricity into digital value is proposed. In a technically increasingly unfavourable and market-competitive environment in which the European power industry has recently found itself, there is a need for innovative solutions created as a hybrid combination of several technical domains. This paper proposes efficient usage of surplus energy by converting it to digital asset. At the same time, the proposed solution allows rapid relief of the power system in periods of energy shortage. The business model proposed by this paper is observed for single Europe-based power system and for the blockchain-based eco-system of cryptocurrency bitcoin. Proposed methodology is adaptable to any power system that has the same quality of available information.
|L. Matulin, A. Hrga, T. Capuder (University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia)
The Development and Implementation of a Microgrid SCADA System Simulator
Shifting the paradigm to decarbonized, distributed renewable future implies changes to conventional principles of power systems operation and requires the implementation of smart grid concepts. Microgrids have been widely recognized as a decentralized approach to successfully integrating renewable energy sources and end consumer empowerment. However, their implementation requires significant improvements and transformation of the distribution system in terms of increased observability and controllability, especially in the context of (near) real-time operation. Supervisory, Control, and Data Acquisition Systems (SCADA) enable system and infrastructure automated monitoring and control and serve as a foundation for advanced management and application of optimization-driven operation. Moreover, the development and testing of the functions mentioned above is a complex task, and today there is still a lack of holistic simulation tools, even though well-established power system simulators exist. The main objective of this paper is to introduce a novel simulation tool developed to simulate the SCADA system used in the Smart Grid Laboratory of the Faculty of Electrical Engineering and Computing for control, integration, and interactions between a microgrid’s components. This paper includes simulator system architecture design, implemented functionalities, and future directions. Simulator testing shows successful communication, measurement generation, and meaningful response to commands and reference signals, proving correct functionality. Besides significant value in testing SCADA functionality, designing such a simulator has been of great benefit during restricted access to real-world devices in the Smart Grid Laboratory during the COVID-19 pandemic lockdown.
|M. Odak, J. Stegić, I. Erceg, D. Sumina (Faculty of Electrical Engineering and Computing, Zagreb, Croatia), Ž. Rendulić, E. Topčagić (Duplico d.o.o., Sveta Nedjelja, Croatia)
Thermal Simulation Analysis of Control Cabinet Connection Technology Using Laminated Conductors
A new innovative technology for control cabinets is being developed in order to simplify production, installation and use. Outcome is a significant reduction in the use of plastics, a simplified wiring system, as well as decrease in occupied space at the installation site. A new solution is based on connecting components using laminated conductors with rectangular cross-section placed among multiple insulating layers. Interconnection of the layers and devices will be achieved by conductive screw connections that will pass through the plates. The number of these layers is tailored to meet the requirements of relevant standards. While a prototype of this innovation is currently under development, this research examines the thermal properties of the assembly obtained by a computational fluid dynamics (CFD) simulation software named „FloEFD“. By defining input and output current values in the assembly with a rated diversity factor (RDF) we were able to simulate the temperature rise. Besides determing the total amount of heat generated by the Joule effect and conduction, convection, and radiation processes, the results also indicated critical heating points. To conclude, the simulation yielded encouraging results that will be useful in further experimental prototype testing.
|G. Marković (Faculty of Organization and Informatics, Varaždin, Croatia), S. Sučić (KONČAR - Digital d.o.o., Zagreb, Croatia), Z. Tabak (JP Elektroprivreda HZ HB d.d., Mostar, Bosnia and Herzegovina)
Capabilities for Platform Ecosystem Adoption: the Case of an Industrial Incumbent Company
Platforms, especially digital ones, are causing an ever bigger interest from the scientific and expert domains since the most successful companies in the world are applying a business model which relies on some type of a platform. Mostly, it is about newly founded companies which achieve the unicorn status in a short period of time. However, incumbent’s companies as well, ones which have already won over a significant part of the market with their products, searching ways to rapidly transform using the business model based on the platform ecosystems. To make the transition successful, it is necessary to take on a full transformation led by the usage of capacities and resources which can contribute to the aim, but surely develop some new organizational skills as well. While progress and functioning of B2C platforms are mostly well analyzed and described, literature connected to B2B platforms is still not developed enough. To understand which organizational skills are key to a successful transformation from product oriented business models to platform ecosystems, primarily in the B2B context, we have conducted a broad research based on the case study method for the company KONČAR DIGITAL and her project digital platform. We have recognized three major groups of organizational IS capabilities: skills connected to technology knowledge, governance skills and skills of market positioning. Our research brings to better understanding of incumbent’s transformation to platform ecosystems. All owners of the platforms can use results of our research as a ground and counsel for better design of their platforms.
|M. Rotim (GlobalLogic, Zagreb, Croatia)
Adaptive AUTOSAR Diagnostic Log and Trace processing platform
High Performance Computing systems in modern vehicles generate logs which are crucial in system analysis for critical issue support, issue triage, issue resolution, performance analysis, run evaluation and etc. This paper presents concepts of the platform for processing Adaptive Automotive Open System Architecture (AUTOSAR) Diagnostic Log and Trace (DLT) logs. It gives main guidance on how to build such a platform. The main idea is to combine a custom developed application with wide used and proven systems as they are: Grafana, InfluxDB, Apache Spark, Apache FreeMarker, Grafana Image Renderer and Bootstrap framework. The concept was the base for the platform that is implemented and proven in the real production environment. As a concept it can be applied in industries other than automotive.
|Z. Šojat, K. Skala (Ruđer Bošković Institute, Centre for Informatics and Computing, Zagreb, Croatia)
Threats and Consequences of Non-Smart Industry Quo vadimus? Quo vademus?
The questions "Where do we rush? Where will we go?" are essential for our present day civilisation. The first question is: on which path are we now, and where will it lead us. The other one is: which future do we want, and which path shall we take to get there.
Where do we go? Well, we rush in all kinds of directions, like children we try out whatever can be done, but very, very rarely we consider system stability consequences. And that usually only much late after the destabilising action. Unfortunatelly, a general driving force of our civilisation can be detected: Faster, Better, More... A typical case of a dynamic system with a positive feedback loop. It is known that positive feedback, without a regulatory opposition of a negative feedback is destructive for a system at any level. Only a balanced regulatory process of positive and negative feedback is homeostatically sustainable. But, furthermore, the positive feedbacks (!) we constatly strive for are of extremely diverse natures, though all fall into the "Faster, Better, More..." category. This develops additional strain on the whole sytem stability [the whole (eco-)system of the geosphere, biosphere and technoshpere, as presently we pushed our survival possibilities largely into the sphere of technology]. However, the negative feedback comes from the whole ecosystem with, in human terms, very long latency, and than in ways which are either not obvious, or generally regarded irrelevant for everyday personal life, or generally regarded as terrible, but what can we do? So the question "Where do we go?" necessitates a thorough answer.
But to know where we go it is essential to know the present state of the system. There are two highly pronounced areas of our civilisation's destabilisation of the system. The first is resource consumption, the second is garbage production. Both of those clinge on uncontrollable overgrown consumerism, grown out of the contradictory philosophies and the conflicting economic and social principles throughout last several centuries. Constant uncertainities of future during that time, and an earth-shaking (even literally) change in technological surroundings, led to "Let's enjoy the life while we can" and "Let's survive the day" being some of the basic generic philosophical postulates prevailing in the subconscious of the population. Therefore, to answer the question, it is necessary to involve a huge amount of effort in two main directions: 1. Development of a model of the present eco-system state - where, what, how much, why... is researched, mined, produced, consumed, wasted... 2. Development of a philosophical framework which will enable global human acceptance of a stable nature-human-machine ecosystem.
Where do we want to go? There are two main constraints for any sustainable future path: The Unavoidable Influence of Ecosystem Transformations on Future Production and Distribution Principles and Adaptation of Our Wishes to the Ecosystem Stability Needs. Firstly we will have to significantly reduce the wasteness of short-term products, unnecessary extreme energy consumption, enable long-term availability of spares and services, develop self-contained coordinated local economies, drastically reduce long-haul transport and “re-educate” ourselves in keeping in check our wishes for faster, better, more...
The approaches of our future economy, which shall be based as much as possible locally, the production and product life-cycle management etc., will have to drastically change, from the level of prevailing philosophies and paradigmatic systems down to everyday life. With the use of properly organised local/global cybernetics and computer science aided coordination, through the emerging hierarchy from Dew to Cloud, it is possible to envisage a Rainbow Services System which would enable the existence of enough prerequisite variety and low latency information for timely decision making and action, as well as long term strategic planning, to achieve the sustainable longevity of our future civilisation.
Neven Vrček (Croatia), Karolj Skala (Croatia)
Darinko Bago (Croatia), Hrvoje Balen (Croatia), Vladimir Olujić (Croatia), Nedjeljko Perić (Croatia), Tadej Slapnik (Slovenia), Marija Šćulac Domac (Croatia), Ivan Vidaković (Croatia), Slavko Vidović (Croatia), Ernest Vlačić (Croatia)
Zoran Aralica (Croatia), Boris Blumenschein (Croatia), Vesna Bosilj Vukšić (Croatia), Darko Bosnar (Croatia), Bojan Jerbić (Croatia), Goran Marković (Croatia), Mladen Mrvelj (Croatia), Mario Spremić (Croatia), Matija Srbić (Croatia), Nebojša Stojčić (Croatia), Marija Šutina (Croatia), Domen Verdnik (Croatia), Marko Vidović (Croatia)
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