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Hybrid Event

Event program
Thursday, 10/1/2020 9:00 AM - 1:00 PM,
Galija, Hotel Admiral, Opatija
9:00 AM - 12:20 PM Track: Internet-based Systems, Applications and Technologies 
1.A. Karadimce (University of Information Science and Technology "St. Paul The Apostle", Ohrid, Macedonia), D. Capeska Bogatinoska ( University of Information Science and Technology "St. Paul The Apostle", Ohrid, Macedonia , Ohrid, Macedonia), M. Sefidansoki (University of Information Science and Technology "St. Paul The Apostle", Ohrid, Macedonia), N. Paunkoska Dimoska ( University of Information Science and Technology "St. Paul The Apostle", Ohrid, Macedonia , Ohrid, Macedonia), N. Marina (University of Information Science and Technology "St. Paul The Apostle", Ohrid, Macedonia)
Tools for Analytics and Cognition Framework for a Car-Sharing Use Case 
The development of tools that improve efficiency and inject intelligent insights into operational and mission-critical social media businesses through guided analytics with social and predictive models is crucial for consumers, prosumers, and business markets. These tools enable contextualised socially aware and spatial-temporal data aggregation, knowledge extraction, cognitive learning about users` behaviour, and risk quantification for Car Sharing use case. The proposed Tools for Analytics and Cognition (TAC) framework will provide a tool-set of guided analytics software for smart aggregation, cognition and interactive visualisation with a monitoring dashboard for the Car Sharing use cases. TAC configuration providing aggregation, monitoring, cognitive reasoning and learning modules that analyse the behaviour and engagement of the application and social media actors, diagnose performance risks and provide guided analytics to consumer prosumers and application providers to improve collaboration and revenues, using the established Pareto-trust model. The TAC framework will provide a seamless coupling with distributed blockchain-based services for early alert, real-time tracking and updated data triggers for reach and engagement analysis of Car Sharing events. Moreover, this will allow Car Sharing users to analyse, control and track their ROI to enhance monetary inclusion in collaborative social media.
2.M. Saari, J. Grönman, J. Soini, P. Rantanen, T. Mäkinen (Tampere University, Pori, Finland)
Experimenting with Means to Store and Monitor IoT based Measurement Results for Energy Saving 
Nowadays, energy consumption and especially energy saving are important issues. The news of global warming has increased the need to save energy in many areas of our living community. Therefore, several research projects on various aspects have been established. This study is part of our ongoing project with the purpose of developing a means of reducing energy consumption in houses and apartments. In particular, the project aims to find ways to increase energy savings without compromising comfortable living. This requires the constant measuring of living conditions, which produces a huge amount of data that has to be monitored continuously and stored for later analysis. In this paper, we report our experiments to select appropriate tools for storing, monitoring, and visualizing data on living conditions. In our test arrangements, the data is gathered by IoT sensors in real locations. Different types of database systems and dashboard software have been used in the trials. Each of these is discussed from the IoT data processing perspective and is presented with examples of gathered data. Finally, we present the toolset that we considered a suitable choice for our context.
3.J. Grönman, J. Viljanen, J. Vihervaara, M. Saari (Tampere University, Pori, Finland)
An Open-Source Solution for Mobile Robot Based Environmental Sensing 
Internet of Things-based devices are equipped with sensors and network connections to collect data and store this data to cloud services. This collected data allows operational decision-making processes to be based on a more accurate picture of the current state of physical environment than before. Existing data collection methods often rely on sensors in fixed locations to obtain environmental measurements. Such a solution is not very scalable in terms of the density of the measuring points. In a dynamic environment, the cost of maintaining such fixed-based solutions may also be high. A more flexible solution will be achieved by equipping an autonomous mobile robot with sensors. Mobile robots are increasingly being used for data-gathering in a wide range of environmental applications. However, a robotic solution can be expensive. In this paper, we present a low-cost solution based on open-source components. The solution utilizes a robot operating system, sensor and IoT-board based on open-source implementation. By implementing a pilot project, we concretize the potential of our approach to environmental monitoring. Potential application areas of this solution include the microclimate control of greenhouses and warehouses, for example.
4.M. Ullah, A. Hekmatmanesh, D. Savchenko (Lappeenranta University of Technology, Lappeenranta, Finland), R. Moioli (Federal University of Rio Grande do Norte, Natal, Brazil), P. Nardelli, H. Handroos, H. Wu (Lappeenranta University of Technology, Lappeenranta, Finland)
Providing Facilities in Health Care via Brain-Computer Interface and Internet of Things 
Internet of Things (IoT) technologies are steadily growing. Millions of devices are now connected to each other and the internet; they communicate and share data. Another technology that has been taking traction is Brain-Computer Interface (BCI), which get brain signals and convert them into commands that are employed for control of different applications. There is then a clear link between IoT and BCI: the IoT device can receive the commands generated by the BCI and perform the desired action. This combination is useful in health care for supporting disabled patients and old people to have more autonomy. This research aims to assess the combination of the BCI and IoT, specially focusing on health care to facilitate everyday life activities by developing simple home appliances such as door opening and turning on the lights. In the present study, three voluntary candidates participated the experiment of controlling a light based on BCI and IoT systems. The average accuracy results obtained 87.33% and 73.33% with ANOVA P < 0:05 for offline and real-time processing modes. Our results indicates that the speed of IoT is fast enough for a BCI real-time system for the case under study.
5.M. Trkman, S. Bajrić (Jozef Stefan Institute, Ljubljana, Slovenia), R. Malkoč (Better, Ljubljana, Slovenia)
The Success Factors of a National Healthcare Ecosystems Maturation: Preliminary Results 
A healthcare ecosystem is an information system at the level of a disease, a hospital, a city or a nation, consisting of an open platform and applications from different vendors that use the data in the platform. The ecosystem is able to orchestrate workflow between applications to make healthcare processes more effective and efficient. The ecosystem is gradually evolving as applications from different vendors can share the common data repository in the platform, as well as to collaborate and exchange patient data. With a marketplace of applications, the ecosystem can provide competition between applications and enable their seamless substitution. The use of a national healthcare ecosystem is still rare in practice today. Once the open platform is implemented its ecosystem needs time to evolve and demonstrate the expected benefits. Little is known about what a national healthcare ecosystem needs to mature. We present a case study of the Slovenian healthcare ecosystem, and discuss our preliminary list of success factors for the maturation of a successful healthcare ecosystem. Our findings underline the importance of the ecosystem’s community and its strong role in the growth of a national ecosystem.
6.N. Caporusso, N. Elleman, S. Cho (Northern Kentucky University, Highland Heights, United States)
Interface Digital Twins: Rendering Physical Devices Accessible to People who are Blind 
In the recent decades, accessibility received increasing attention. As a result, nowadays, established principles (e.g., Universal Design) contribute to creating products that take into consideration the diverse needs and abilities of all individuals. Unfortunately, there is a gap between the digital and physical world: while websites and user interfaces are adopting accessibility principles, most devices do not support an equitable use. Specifically, individuals who are blind are not able to independently learn and operate several categories of physical products. In this paper, we propose a system for rendering the User Interface (UI) of physical devices and products accessible to individuals with disabilities, with specific regard to people who are blind. To this end, we introduce the concept of Interface Digital Twin (IDT), that is, a digital replica of the physical UI that leverages the accessibility features of mobile devices (e.g., vibration and text-to-speech) to render the interface accessible, help individuals understand its components and learn how to operate it, and support users in accomplishing their tasks on the actual device. The advantage of the proposed solution is that it can be integrated in current technology without requiring any modification. We detail the architecture of the system and we discuss its advantages and use cases.
7.Y. Watashiba, Y. Matsui, S. Date (Osaka University, Ibaraki, Osaka, Japan)
Evaluation of Resource Management System for InfaaS-adaptive Disaster Management Application Platform 
The concept of Information-as-a-Service (InfaaS) is important for collaboration-based disaster management applications. For satisfying this concept, collaboration-based disaster management applications is required to have three functionalities: clarity, synchronization, and continuity for information-providing. Since these functionalities are needed to handle not only application-layer but also infrastructure-layer, it is difficult to develop functionalities on each collaboration-based disaster management application. From this consideration, we aim to realize InfaaS-adaptive disaster management application platform which enables to provide three functionalities. Though the clarity and the synchronization are met by functions of distributed visualization system, the continuity requires the mechanism that can tolerate partial failures of IT infrastructure components caused by the disaster events. Thus, we have been studying and developing Software-Defined IT infrastructure which enables to manage various infrastructure resources by software. Though the previous study achieved the recovery of assigned resources on each IT infrastructure component, a mechanism to handle all components of IT infrastructure is required for autonomous recovery. Therefore, we propose new resource management system which enables to control all components of Software-Defined IT infrastructure comprehensively. In this paper, we introduce the architecture of proposed resource management system and evaluate the behavior, performance, and effectiveness.
8.M. Ullah (Lappeenranta-Lahti university of Technology, Lappeenranta, Finland), S. Kaka khel, T. Westerlund (University of Turku, Turku, Finland), A. Wolff, D. Carrillo (Lappeenranta-Lahti University of Technology, Lappeenranta, Finland), J. Plosila (University of Turku, Turku, Finland), P. Nardelli (Lappeenranta-Lahti University of Technology, Lappeenranta, Finland)
IoT Protocol Selection for Smart Grid Applications:Merging Qualitative and Quantitative Metrics 
The concept of Internet of Things is to connect objects (“Things”) together and share information with each other and with the platform. Various protocols are used to connect objects and communicate information. Recently, these protocols have got much attentions in terms of performance and its widespread utilization. The vital aspect of the adoption of these IoT protocols is its feature set. There should be some comparative analysis between the features and properties of those IoT protocols, that can highlight the attributes of these protocols and make it easy for the IoT stakeholders in selection. This paper builds on a qualitative comparison model and adds quantitative metrics. We argue, based on qualitative (security, communication paradigm, payload support) and quantitative metrics (CPU/Memory utilization and time consumption) that there is no one-size-fits-all solution in terms of application layer IoT protocol selection. Secondly, we emphasize that, on a higher level, both qualitative and quantitative measures are necessary for IoT stakeholders to consider. The arguments are explicated via a smart grid example simulating a collection of 500 smart meters connected to the grid.
9.B. Pervan, J. Knezović (Fakultet elektrotehnike i računarstva, Zagreb, Croatia)
A Survey on Parallel Architectures and Programming Models 
In addition to large-scale computers, multicore processors have taken a significant part in all kinds of devices, from personal computers to cell phones. Although programming techniques for parallel systems exist for a while, the development of applications that can appropriately exploit multicores is still challenging in many aspects, especially for full exploitation of the computational resources. Additionally, another challenge is the efficient and easy programming of heterogeneous systems for the complete exploitation of silicon resources. The solution to making parallel programming more developer-friendly are various programming models that abstract parallelism and concurrency. Implementations of those models need to exploit lower layers of software parallelism and hardware parallelism as well. This paper gives an overview of parallel architectures and trend-ing programming models for such processing units and systems. It also presents challenges to scalability and portability in parallel systems and presents up to date trends in heterogeneous systems that heavily exploit parallelism.
10.V. Bogdanova , S. Gorsky, A. Pashinin (Institute for System Dynamics and Control Theory of SB RAS, Irkutsk, Russian Federation)
HPC-based Parallel Software for Solving Applied Boolean Satisfiability Problems 
Boolean satisfiability is one of the fundamental problems in mathematical logic and the theory of computation. Many practical problems can be formulated as problems of Boolean satisfiability (solving a system of Boolean equations). These include the tasks of cryptography, qualitative research of binary dynamic systems, logical programming, robot action planning, and many others. NP-complexity of the Boolean satisfiability problem actualizes the development of parallel software for solving it in a high-performance computing environment. We focus on the development of specialized parallel solvers for Boolean satisfiability problems oriented to the application in the qualitative study of binary dynamic systems based on the Boolean constraint method. The Boolean constraint method uses a formal definition of the dynamical property, presented in the language of predicate logic with limited existential and universal quantifiers. Based on this definition, a model of dynamical property is formed in the form of Boolean constraints by a series of sequential formal transformations. The developed parallel solvers provide a conclusion on the feasibility of Boolean constraints, interpret this conclusion accordingly the tested property, and find, unlike similar software tools, all sets of values of Boolean variables that lead to this conclusion. An example of applying the developed solver to constructing cycles of a given length of stream ciphers based on hift registers is considered. The results confirming the effectiveness and scalability of the developed software are presented.
12:20 PM - 1:0 PM Track: Software Design and Automation in Industry 
11.D. Miljković (Hrvatska elektroprivreda d.d., Zagreb, Croatia)
Sample Based Synthesis of Car Engine Noise 
A recent trend in electric cars introduces new problem due to their silent movement. Electric cars are much quieter than conventional cars equipped with internal combustion engines. This lack of noise poses a danger to other road users. To increase the safety of pedestrians, under certain conditions, artificial noise generators must be used, as required by EU regulations. Car engine noise synthesis is proposed that combines sample based synthesis and envelope scaling dependent on engine rotational speed.
12.D. Miljković (Hrvatska elektroprivreda d.d., Zagreb, Croatia)
Fault Detection of Aircraft Piston Engine Based on Exhaustive Database Search 
Modern aircraft piston engine monitor collects large amounts of data representing engine parameters. Data acquired during each flight is logged to a file. From the logs acquired during numerous previous flights a database of a healthy engine is formed containing feature vectors with selected engine parameters. Due to high speed processing of even modest microcontrollers, new feature vectors acquired during a flight can be compared in real time to all previous feature vectors stored in the database. Any significant discrepancy may indicate a problem in engine operation or engine fault. Such detection may alert a pilot and help prevent engine failure, partial loss of engine power or unplanned in-flight engine shutdown.
Thursday, 10/1/2020 2:30 PM - 7:00 PM,
Galija, Hotel Admiral, Opatija
2:30 PM - 4:00 PM Panel 
Intelligent Production 
4:00 PM - 6:40 PM Track: Robotics in Automation 
1.N. Bogunović (HEP ODS d.o.o. Elektroprimorje Rijeka, Rijeka, Croatia), S. Vlahinić (Tehnički fakultet Rijeka, Rijeka, Croatia), D. Frankovic (University of Rijeka, Rijeka, Croatia), V. Komen (HEP ODS d.o.o. Elektroprimorje Rijeka, Rijeka, Croatia)
Application of PandaPower Tool in Evaluating the Potential of Using PV Distributed Generation for Voltage Regulation in Electrical Power Networks 
Traditional electrical power systems were designed with an assumption of unidirectional power flows through electrical networks. For many years power plants had been the only sources of electrical energy, and the energy had been delivered to the consumers by the means of transmission and distribution networks exclusively. With the emergence of distributed generation units, power flows have become bidirectional, which has made it impossible to estimate the voltages and currents in substation feeder nodes by measuring only the values at the beginning of the feeder. As the aforementioned estimation process is the basis of traditional voltage regulation techniques, it is obvious that under the new circumstances existing methods have to be upgraded. The article demonstrates how the open source tool PandaPower along with the Python programming language was utilised to analyse and evaluate several different scenarios of using photovoltaic distributed sources inverters for voltage regulation in medium voltage electrical power networks.
2.Z. Sičanica (Končar - KET, Zagreb, Croatia), I. Vujaklija (Fakultet Elektrotehnike i Računarstva, Zagreb, Croatia)
Resilience to Cascading Failures: a Complex Network Approach for Analysing the Croatian Power Grid 
A transmission power grid system is arguably the single most important utility of any nation since it provides a basic infrastructure for a wide variety of interconnected and interdependent systems of vital importance. Therefore, its resilience to intentional attacks or random failures is of critical importance. This is especially true with respect to cascading failures which can be initiated by seemingly minor events but can lead to economic losses worth billions of dollars, as recent examples show. In order to gain insight into the resilience of the Croatian transmission power grid we investigated its resilience to three different types of failures, including both intentional attacks and random failures. Our analyses are based on the complex network approach. Extensive numerical simulations were carried out based on three different discrete-time cascading failure models. The first two models were described previously, whereas we substantially modified the third model.
3.D. Ćetković (HEP-Distribution system operator, Elektroprimorje, Zagreb, Croatia), S. Vlahinić, D. Franković (Faculty of Engineering, University of Rijeka, Rijeka, Croatia), V. Komen (HEP-Distribution system operator, Elektroprimorje, Zagreb, Croatia)
Analysis of Justification for Using Capacitor Banks in Distribution Networks with Low Power Demand 
In distribution networks with normal and high load capacitor banks are used in MV/LV substations for reducing power losses. However, underground MV cable lines and capacitor banks have a similar impact on power loss reduction in the distribution system so in specific conditions such as long underground MV cable lines and low electric energy consumption the question arises about the justification for the use of capacitor banks. This paper presents an approach to the analysis of the justification for the use of capacitor banks in indicated circumstances. The approach is based on monitoring statistics of average measured power consumption during the representative period. The operation of the monitored distribution network is simulated for each short interval of the selected period. For each short interval, simulations are made both with and without the use of capacitor banks and energy savings and losses are calculated. On the basis of calculated data, the cumulative sum of saved or lost energy during the whole selected period is calculated and a conclusion is reached on the justification for the use of capacitor banks in the monitored network.
4.T. Špoljarić (Tehničko Veleučilište u Zagrebu, Zagreb, Croatia), I. Pavić (Fakultet Elektrotehnike i Računarstva, Zagreb, Croatia)
AVR and PSS Coordination Strategy by Using Multi-Objective Ant Lion Optimizer 
In this paper a novel optimization method called Multi-Objective Ant Lion Optimizer (MOALO) is proposed for tuning synchronous generator excitation controls in multi machine power system. Devices used in excitation control are automatic voltage regulator (AVR) and power system stabilizer (PSS). Two area four machine model (TAFM) is used for observing power system dynamics through several various operating states. In a performance analysis of a proposed algorithm two objective functions are used. First objective function uses integral of time weighted absolute error of rotor speed, voltage and tie line active power data, while second objective function uses mean value of time domain transitional process quality indicators such as overshoot, undershoot and settling time. A proposed algorithm is tested and its performance is compared with performances of two other multi objective swarm intelligence algorithms: Multi-Objective Particle Swarm Optimization (MOPSO) and Multi-Objective Salp Swarm Algorithm (MOSSA). Results are compared and presented as sets of solutions composed in Pareto fronts.
5.B. Žeželj, Ž. Frkin (Plavi Tim d.o.o., Zagreb, Croatia), F. Beznea (FIA Integra, Bucharest, Romania), M. Gojić (IoT Net Adria d.o.o., Zagreb, Croatia)
Integrated Production Optimization at INA d.d.Upstream Supported by Osisoft PI 
Following the success of MOL Group PI system implementation logical choice was to choose the same approach on both INA Downstream and Upstream. INA Upstream recognizes the importance and potential of implementing PI system to enable digital transformation as a necessary precondition for the Digital oil field concept. Implementation of the Try Buy PI system took a total of twelve working days, with the benefit of continuing to be used existed PI ecosystem after acquiring permanent licenses and expanding it to an additional four oil fields in 2020. Aim of PI system in Integrated Production Optimization 4.0 (IPO 4.0) project is to ensure continuous and secure data flow from oil fields to business oriented expert systems for modelling, optimization and diagnostics engine of the production system. IPO 4.0 goal is to decrease time of the reaction to underperforming production, enabler for advanced well surveillance and collaborative engineering environment increasing production between 3-5%.
6.P. Makarun, Š. Ileš, J. Matuško (FER, Zagreb, Croatia)
Predictive Lane-keeping System for an Autonomous Vehicle 
In this paper, a model predictive control lane-keeping system of an autonomous vehicle is proposed. The control algorithm was tested both in the simulation environment and experimentally on a laboratory scaled model of the vehicle. The desired trajectory during the experiment was determined by computer vision. Using image processing the middle of the driving lane and the horizontal profile of the driving lane were recognized. The control algorithm on the vehicle model was implemented using JuMP modeling language for mathematical optimization embedded in the Julia Programming Language and solved using the OSQP quadratic programming solver.
7.M. Švec, Š. Ileš, J. Matuško (Faculty Of Electrical Engineering and Computing, Zagreb, Croatia)
Sliding Mode Control of Custom Built Rotary Inverted Pendulum 
Inverted pendulums have been used for a long time as a typical laboratory setup for learning and testing of various control system techniques. In this paper, we present a new laboratory rotary inverted pendulum setup. The setup is equipped with a microcontroller containing a code for communicating directly with MATLAB/Simulink using Simulink Desktop Real Time. In this configuration students have the opportunity to implement a controller in MATLAB/Simulink or to implement it directly on the microcontroller. Its capabilities are tested using sliding mode control, first using simulation and then verified on the experimental setup.
8.J. Fulir, Ž. Mihajlović, M. Seder (Sveučilište u Zagrebu Fakultet elektrotehnike i računarstva, Zagreb, Croatia)
A Simulator for Training Human Operators of a Remote Controlled Anti-Terrorism Ground Vehicle 
Remote controlled robotic vehicles are expensive and require high maintenance. In an effort to reduce costs of training human operators for an anti-terrorism ground vehicle we introduce a simulator implemented in Unreal Engine 4 as an affordable solution. We describe several features that need to be considered when simulating a remotely controlled vehicle guided solely by its integrated cameras. Additional steps are shown for achieving realism and user immersion while maintaining an interactive rendering speed. The cost of rendering multiple cameras is analysed and steps for remedying it are shown.
6:40 PM - 7:00 PM Track: Professional Papers in Croatian 
9.M. Ilijanić, M. Lučan, G. Malčić (Tehničko veleučilište u Zagrebu, Zagreb, Croatia)
Automatizacija pročistača otpadnih voda 
Otpadna voda zbog svog štetnog utjecaja na okoliš, a pogotovo na čistu vodu u okolišu, predstavlja veliki problem svakog naseljenog mjesta. Da bi se spriječilo zagađenje čistih voda i neželjene promjene u okolišu potrebno je otpadnu vodu prije ispuštanja u okoliš pročistiti. Pročišćenje otpadnih voda je proces u kojem se smanjuje nečišćenje do onih količina ili koncentracija s kojima pročišćene otpadne vode ispuštene u okolinu postaju neopasne za život i ljudsko zdravlje i ne uzrokuju neželjene promjene u okolišu. Pročišćenje otpadne vode odvija se u pročistaču otpadne vode. U ovom radu je obrađen rad pročistača otpadne vode kapaciteta 5250 ES (ekvivalent stanovnika). Opisani su osnovni tehnološki pojmovi otpadne vode,tehnološki procesi u predmetnom pročistaču i implementacija automatiziranog sustava za upravljanje sa predmetnim pročistačem. Prikazana su tehnička i softverska rješenja koja se koriste u automatiziranom sustavu upravljanja sa predmetnim pročistačem.

Basic information:

Vlado Sruk (Croatia), Dejan Škvorc (Croatia), Jadranko F. Novak (Croatia)

Program Committee:

Željko Hocenski (Croatia), Leonardo Jelenković (Croatia), Hrvoje Mlinarić (Croatia), Jadranko F. Novak (Croatia), Vlado Sruk (Croatia), Dejan Škvorc (Croatia)

Registration / Fees:
Price in EUR
Up to 14 September 2020
From 15 September 2020
Members of MIPRO and IEEE
Students (undergraduate and graduate), primary and secondary school teachers

The discount doesn't apply to PhD students.


Vlado Sruk
University of Zagreb
Faculty of Electrical Engineering and Computing 
Unska 3 
HR-10000 Zagreb, Croatia

Phone: +385 1 612 99 45 
Fax: +385 1 612 96 53

The best papers will get a special award.
Accepted papers will be published in the ISSN registered conference proceedings. Presented papers in English will be submitted for inclusion in the IEEE Xplore Digital Library (and exclusively not presented papers with the justified reason for not being able to be presented).
There is a possibility that the selected scientific papers with some further modification and refinement are being published in the Journal of Computing and Information Technology (CIT).

Opatija, with its 170-year-old tourism tradition, is the leading seaside resort of the Eastern Adriatic and one of the most famous tourist destinations on the Mediterranean. With its aristocratic architecture and style, Opatija has been attracting artists, kings, politicians, scientists, sportsmen, as well as business people, bankers and managers for more than 170 years.

The tourist offer in Opatija includes a vast number of hotels, excellent restaurants, entertainment venues, art festivals, superb modern and classical music concerts, beaches and swimming pools – this city satisfies all wishes and demands.

Opatija, the Queen of the Adriatic, is also one of the most prominent congress cities in the Mediterranean, particularly important for its ICT conventions, one of which is MIPRO, which has been held in Opatija since 1979, and has attracted more than a thousand participants from over forty countries. These conventions promote Opatija as one of the most desirable technological, business, educational and scientific centers in South-eastern Europe and the European Union in general.

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