Lab

NextTechnologies - Complex System Research Institute

About the lab

NextTechnologies Ltd. Complex Systems Research Institute was founded in 2018. It implements several interdisciplinary cooperation projects with researchers of other disciplines as well as research and development laboratories of domestic companies.
The high-level goal of the Research Institute is twofold:
- scientific, professional:
-- theoretical basis of modern systems management (science education)
-- conceptual development of such systems
-- enhancing the security of such systems
-- supporting the industry in the design, manufacture and
-- operation of such systems
- social:
-- arousing the interest of society in science and science
-- presenting scientific achievements to society

Featured projects (1)

Project
Summary: Promoting scientific knowledge using an HPC resource. Final goal of the project: Successful usage of HPC resources, research report on first results by 31.12.2022. Deadline for applications: 30.07.2022 Facilitate scientific knowledge using an HPC resource. Summary: Promoting scientific knowledge using an HPC resource. Final goal of the project: successful usage of HPC resources, research report on first results by 31.12.2022. Deadline for applications: 30.07.2022 Tendering: Download tendering HPC: https://d.nexttechnologies.hu/sites/default/files/tendering/tendering_hpc.pdf Research plan: Download research plan: https://d.nexttechnologies.hu/sites/default/files/tendering/research_plan_hpc.docx https://d.nexttechnologies.hu/en/node/17

Featured research (6)

Our hypothesis was that the ecosystem of self-driving cars could be treated as a complex system. The proof of this was based on the definition of self-driving car ecosystem and definition of complex system. We not found definition for ecosystem of self-driving cars. That's why we made our own definition of self-driving car ecosystem. Self-driving car ecosystem is all technology and person and service that connect to the self-driving car and have effect to the self-driving car technology, self-driving car design, self-driving car traffic, self-driving car environment (infrastructure), self-driving car maintenance, self-driving car education and self-driving car law.
A komplex rendszerek egyre elterjedtebbek. Szinte minden modern rendszer elosztott. A kiadási ciklusok rövidülésével a hibák, balesetek kockázata növekszik. Ez a kockázat a rendszerek komplex rendszerként kezelt tervezése által csökkenthető. A komplex rendszerekben a kommunikáció az egyik legjellemzőbb leírása a kollektív viselkedésnek. Komplex rendszerek tervezése két fő részre bontható, a részegységek viselkedése és a részegységek együttműködése, kommunikációja. Ezeket a protokoll írja le. A protokoll egyik jellemző feladata a részegységek hibájának és a protokoll belső hibájának eszkalációját gátolni. Komplex rendszerek tervezési módszereit tekintjük át és foglaljuk össze a kommunikáció, protokollok szempontjából.
In our current study, we are aiming to explore data management methods in Smart City systems. In data management, AI (Artificial Intelligence) can be used as well. Solutions for the usage of AI and integration into Smart City concept will be researched as well. Main motivation of the study is to draw attention to one of the most important element of Smart Cities, to the flow of data. Our study provide a possible solution for managing data and keep data up-to-date in such systems with the usage of newest technology possibilities. While explaining the solution, we will give all the necessary details about the data flow model between the AI based system and humans who are using the Smart City. For managing the data-flow, we would like to use Big Data methods extended with other required methods. We are using the term of Big Data as a technology maximizing computation power and algorithmic accuracy to gather, analyze, link, and compare large data sets [1] connecting with AI solutions.
Aim of the research is to present the possibilities of applying cooperative robots during the process of automotive metalworking. The study is focusing at the Hungarian medium enterprise sector. Artificial Intelligence and special cobot safety systems - modified by human behavior - are used to demonstrate how production techniques are used at a Hungarian medium enterprise to optimize their processes. The main problem is with flexibility in the automotive metalworking manufacturing industry, such as production line switchover and the processing period. The product price is therefore determined by the competition, and the only way to increase profit is to reduce production and distribution costs. This means that managing and operating the organization and manufacturing in an efficient manner is necessary. One of the success factors is the flexibility of manufacturing by robotization. The proposal solution by this study is a low-load universal cobot system with innovative security solutions for improve the flexibility of manufacturing in an automotive metalworking manufacturing company. This instance is based on a real case study problem in an automotive metalworking manufacturing company.
A komplex rendszerek térnyerése jelentős méreteket öltött. A számosság növekedése és a felhasználási körülményekből következően a hibák, balesetek kockázata növekszik. Ez a kockázat a komplex rendszerek tervezése által csökkenthető. A komplex rendszerek elosztott együttműködő alrendszerek kommunikációjának együtteséből épülnek fel. A tervezés két fő részre bontható, a részegységek viselkedése és a részegységek együttműködése. A részegységek kommunikációját és együttműködését a protokoll írja le. A komplex rendszerek lehetnek nyitottak és zártak, de protokoll tekintetében mindig nyitottként kell kezelni, tehát nem lehet megbízni a részegységekben az elvárt viselkedés betartásában. A protokoll feladata a részegységek hibájának és a protokoll belső hibájának eszkalációját gátolni. A jelenlegi komplex rendszerek tervezési módszereit tekintjük át és foglaljuk össze. Ezek eredményes módszereit integráljuk egy komplex rendszer tervezési iránymutató-ajánlásban. The expansion of complex systems has taken on considerable proportions. Due to the increase in numericity and the conditions of use, the risk of errors and accidents increases. Reducing this risk can be obtained by designing complex systems. Complex systems are built up of a combination of distributed collaborative subsystems. The design can be divided into two main parts, the behaviour of the components and the overall operation of the components. The protocol describes the communication and collaboration of the components. Complex systems can be open and closed, but they should always be treated as open in terms of protocol, so one cannot trust the units to follow the expected behaviour. The task of the protocol is to prevent escalation of the component failure and the internal error of the protocol. The design of the current complex systems is reviewed and summarised. Their effective methods are integrated into a complex system design guideline.

Lab head

László Ady
Department
  • Complex Systems Research Institute
About László Ady
  • László Ady is a man of great technical interest. László currently works at NextTechnologies Kft.. László likes complex systems in general and specially studied. And this knowledge apply in practice. László likes distributed systems and AI based systems. László does research in Software Engineering, Programming Languages and Electronic Engineering.

Members (1)

Luca F. Hudasi
  • NextTechnologies Ltd