Lecturer Ph.D. Eng. Zagan Ionel

Research in field

nMPRA Processor

nMPRA is a hardware design that represents a custom CPU architecture based on replication of resources, such as program counter, general purpose registers and pipeline registers.
This implementation allows a very fast context switching, that is possible due to the remapping of the active running task context with the scheduled task; the jitter is minimized in order to provide an accurate predictability behavior. The goal of this project was to provide predictability of hard real-time tasks, based on a fast switching operation between a blocked task and another one, scheduled by nHSE.
Author: Ionel ZAGAN
Mentor: Professor Vasile Gheorghita GAITAN

Data aquisiton CAOM M.A.D.DM 15+ module

CAOM M.A.D.DM 15+ is a data acquisition module with 6 configurable inputs as temperature resistors, resistors, voltage and current. The module has an internal 8 Mb memory.
CAOM M.A.D. product series contains modules that take over the industrial parameter data and transmit them to be monitored on PC and/or to command the process by open collector or change - over relies. Read more...
Author: Ionel ZAGAN
Mentor: Professor Vasile Gheorghita GAITAN

SAFEWAY

SafeWay - Intelligent Street Monitoring System
SafeWay is a machine vision based system designed to reduce possible dangerous situations including both drivers and pedestrians, treating both the traffic participants in an equally manner. The main functionality of the system is to act as an external supervisor, monitoring all the traffic activity in a given area by using pedestrian and vehicle detection algorithms and take proper warning actions when possible accident situations interfere.
Team members: Radu VATAVU, Octavian MANU,
Ionel ZAGAN, Andrei SLAVOIU
Team mentor: Eugen COCA, Ph.D.

CAOM M.A.D.68 command module

CAOM M.A.D.68 is a command module with change-over rely output. The device has 8 change-over relies commanded by a micro-controller, 4 of them having 2 contacts accessible from outside and the other 4 having 3 contacts. CAOM M.A.D.68 can be connected into Rs485 networks for reading and setting up the parameters and relys.
Author: Ionel ZAGAN
Mentor: Professor Vasile Gheorghita GAITAN

INTELLIGENT MASTER ETHERNET–RS485

The ETHERNET–RS485 master is an integrated hardware/software device designed to work in industrial process automation. The device is equipped with six RS485 industrial networks, ETHERNET port and IRDA interface. The MASTER can be connected with 32 M.A.D. modules without using repetors and also can be programmed using an OPC server, from its own web page or using the IRDA connection. The device has a non-volatile memory (128 Mbits) to mantain a historical data in ASCII code.
Team members: Ionel ZAGAN, Ioan UNGUREAN
Team mentor: Professor Vasile Gheorghita GAITAN

Data aquisiton CAOM M.A.D. UNIVERSAL module

CAOM M.A.D. UNIVERSAL is a module that can work as a data acquisition module with one analogical input (M.A.D. 13), one analogical input, one digital input and 2 open collector outputs (M.A.D. 11, M.A.D. 11D, M.A.D. 12, M.A.D. 14D) or as a data acquisition, communication and control module with one analogical input, 3 rely type outputs and unified current output for PID regulator (M.A.D. 22/PID). Read more...
Author: Ionel ZAGAN
Mentor: Professor Vasile Gheorghita GAITAN

Data aquisiton CAOM M.A.D.51 module

CAOM M.A.D.51 is a digital data acquisition module that monitors 16 digital inputs galvanic insulated.
All CAOM M.A.D. modules are controlled by a micro-controller, which allows them to work independent from network, saving working parameters and local display of data (optional).
Author: Ionel ZAGAN
Mentor: Professor Vasile Gheorghita GAITAN

AN ELECTRONIC ON-LINE WEATHER STATION

The purpose of this project is to design a weather monitoring system with a web interface. The device uses analogical and digital sensors which are managed by a PIC microcontroller produced by Microchip. This one makes the communication with a web server module, SitePlayer. The project highlights different methods of analysing, processing, adaptation and linear optimization of analogical signals using a 16F876A microcontroller, in order to obtain an accurate information, directly available via a local display or a web interface.
Team members: Radu VATAVU, Octavian MANU,
Ionel ZAGAN, Andrei SLAVOIU
Team mentor: Professor Alin Dan POTORAC

Zagan Ionel

zagan@eed.usv.ro
Suceava, Romania, EU