A5047435219- IoT and Edge/Fog Computing
- Time Series Analysis and Forecasting
- Flexible and Reconfigurable Manufacturing Systems
- Manufacturing Process and Optimization
- Data Management and Algorithms
- Advanced Chemical Sensor Technologies
- Human Mobility and Location-Based Analysis
- Anomaly Detection Techniques and Applications
- Food Supply Chain Traceability
- Cognitive Computing and Networks
- Context-Aware Activity Recognition Systems
- RFID technology advancements
- ECG Monitoring and Analysis
- Network Time Synchronization Technologies
- Non-Invasive Vital Sign Monitoring
- Mobile Crowdsensing and Crowdsourcing
- Petri Nets in System Modeling
- Distributed systems and fault tolerance
- Knowledge Management in Higher Education
- Logic, Reasoning, and Knowledge
- Cognitive Science and Mapping
- Blockchain Technology Applications and Security
- Network Security and Intrusion Detection
- Transportation Planning and Optimization
- Traffic Prediction and Management Techniques
Siemens (Romania)
2011-2025
Siemens (Germany)
2014-2023
Transylvania University of Brașov
2012-2015
A novel architecture for the field of industrial automation is described, goals which are: 1) computation optimal production plans; 2) automated usage optimized 3) flexibility and reusability at development maintenance; 4) seamless transition from current practice to approach introduced herein. The consists three main components: a set OPC unified (UA) servers, are used model information device level; services organized into two layers (basic complex services), act as link between first...
The adoption of the European Health Data Space (EHDS) regulation has made integrating health data critical for both primary and secondary applications. Primary use cases include patient diagnosis, prognosis, treatment, while applications support research, innovation, regulatory decision-making. Additionally, leveraging large datasets improves training quality artificial intelligence (AI) models, particularly in cancer prevention, prediction, treatment personalization. Union (EU) recently...
As Artificial Intelligence (AI) becomes more integrated into public governance, concerns about its transparency and accountability have become increasingly important. The use of AI in decision-making processes raises questions bias, fairness, the protection individual fundamental rights. To ensure that is used a way upholds democratic values, it essential to develop systems are trustworthy, transparent, accountable. Trusted allows citizens greater trust organizations their processes, while...
Using the CityPulse framework we developed a proof of concept application for Braşov public transportation company. The provides route recommendations and incident notifications citizens who travel by bus. This is achieved processing in real-time data streams about bus arrivals stations incidents reported citizens. was presented to representatives municipality transport
The article focuses on the development of an OPC UA (object linking and embedding (OLE) for process control unified architecture) server. One major concerns regarding this new specification is migration from old component object model (COM) to specification. From various strategies described in article, authors' server represents a special adapter software solution which aggregates several COM servers, one each flexible manufacturing system (FMS) modelled address space advantages introduced...
Future processing, storage and communication services will be highly pervasive: people, smart objects, machines the surrounding space (all embedding devices such as with sensors, RFID tags etc.) define a decentralized cyber environment of resources interconnected by dynamic networks networks. As communications extend to cover any combination ’people, things’, future increasingly complex heterogeneous, yet always endorsed challenging task ensuring end-to-end QoS. This paper proposes...
The new OPC Unified Architecture has been introduced as a replacement for the existing COM-based specifications. article describes generalized algorithm automatic generation of address space structure an UA server. First, we present general startup procedure server, focusing on step. Afterwards introduce specialized algorithms type nodes, object, variable, method and view nodes. Finally additional references are added to fully meshed space. basic ideas are: splitting nodes into groups...
The main objective of this work is to develop a framework for supporting the development applications logistic companies that transport perishable goods (food and medicines). Reducing amount lost damaged during transportation storage represents substantial global challenge, which imply implementation cold chain monitoring at all levels supply chains. contains several components enable: (1) real-time transportation; (2) forecast temperatures parcels; (3) generate alerts/early warning when...
Reducing the amount of lost and damaged perishable goods (food medicines) during transportation storage represents a substantial global challenge, which imply implementation cold chain monitoring at all levels supply chains. The main objective this work is to develop an IoT enabled infrastructure, supports development smart specific applications. proposed infrastructure contains emulator, can be used for emulating conditions inside truck process some CEP based tools processing data generated...
Geofencing is one of the components in wider spectra Ambient Assisted Living related applications. Such applications are meant to provide support persons with disabilities or those impaired, as well their caretakers. Within this context, geofencing targets safe mobility such persons. As data can be translated into events a temporal dimension, we have developed service based on Complex Event Processing paradigm. This decision was supported also by fact that applications, general, often...
Smart Cities represents a large living lab environment. Due to intensively interconnected and overlapped types of systems the approach extract effective paths right information on time raise problems in terms data processing capabilities. Streams acquired from all around city specific challenges regarding appropriate ways use, valuable insights. In this paper is presented an ongoing work CityPulse project new look convergence between autonomic networking stream based prescriptive analytics...
Scheduling is required in a multitude of domains: public transportation, logistics, delivery goods, events, component for production plants or the case assembly lines. Most times, scheduled activities are performed by agents, either humans autonomous systems, operating complex environments subject to change during agents operation. Usually these changes environment have an impact on initial data based upon which scheduling was thus requiring new working configurations be generated agents....
In this paper we present the work done to develop a fault recovery component for situation when quality of data streams from smart city environment drops. The is able generate estimated values stream generates invalid or missing observations. easy configure and deploy large number environment. As result that, contains an incremental learning model, which train itself during execution. describes architecture evaluation three candidate models.
<sec> <title>UNSTRUCTURED</title> The adoption of the European Health Data Space (EHDS) regulation has made integrating health data critical for both primary and secondary applications. Primary use cases include patient diagnosis, prognosis, treatment, while applications support research, innovation, regulatory decision-making. Additionally, leveraging large datasets improves training quality artificial intelligence (AI) models, particularly in cancer prevention, prediction, treatment...
This paper presents a framework for processing the data generated by Smart City sensors and IoT streams in real-time. The scope of is to detect various event patterns from raw data. extensible because at any moment new sources can be registered or specific detection mechanism deployed. offers HTTP interface which used provide details about each stream. In order connect heterogeneous source end points fetching observations concept simple adaptable wrappers introduced. Having into framework,...
This paper introduces a straightforward and computationally inexpensive approach to classifying heartbeat anomalies based on ECG signals. Cardiac arrests are often associated with irregular heart rhythm, making arrythmia major factor cardiac events when not sufficiently monitored. In this context, the current presents comprehensive analysis prediction for 44 patients. For each patient in study, heartrate signals manually labeled by physicians were available. The preprocessed time-series used...
Introduction: NCDs (non-communicable diseases) are considered an important social issue and a financial burden to the health care systems in EU which can be decreased if cost-effective policies implemented, along with proactive interventions.The Crowd-HEALTH project recognizes that NCD poses for healthcare sector society aims at focusing on NCDs' public policies.Aim: The aim of this paper is present concept Public Health Policy (PHP), elaborate state-of-the-art PHPs development, propose...