Ayhan Istanbullu

Virtual laboratory for sliding mode and PID control of rotary inverted pendulum

This paper presents a new virtual laboratory tool which teaches sliding mode control (SMC) and proportional–integral–derivative (PID) control to graduate students. Additionally, it describes performance differences between two control methods graphically. This educational virtual laboratory tool contains the control of rotary inverted pendulum. This system is a typical example of nonlinear and under‐actuated systems and also well‐known in control engineering for practicing different control theories. At first, the nonlinear dynamic equations of the inverted pendulum are presented. Then a virtual laboratory tool is designed for SMC and PID. After that, the results are analyzed. The validity of designed tool is verified by an experiment.

Modeling Student Performance in Higher Education Using Data Mining

Identifying students’ behavior in university is a great concern to the higher education managements (Kumar and Uma, Eur J Sci Res 34(4):526–534). This chapter proposes a new educational technology system for use in Knowledge Discovery Processes (KDP). We introduce the educational data mining (EDM) software and present the outcome of a test on university data to explore the factors having an impact on the success of the students based on student profiling. In our software system all the tasks involved in the KDP are realized together. The advantage of this approach is to have access to all the functionalities of the Structured Query Language (SQL) Server and the Analysis Services through a single developed software item, which is specific to the needs of a higher education institution. This model (Guruler et al., Comput Educ 55(1):247–254) aims to help educational organizations to better understand the KDPs, and provides a roadmap to follow while executing whole knowledge projects, which are nontrivial, involve multiple stages, possibly several iterations.

Low cost ECG monitoring experiment set-up for nonclinical applications

This paper presents an own designed low-cost and simple structured experimental set-up for applications of biomedical instrumentation courses. In this study, a commonly known circuit model of instrumentation amplifier for measuring ECG signals has been used. The analog signal taken from the instrumentation amplifier is converted to digital format for a PC based monitoring system. As a novelty, a PIC based analog to digital converter and PC software is designed. The proposed system is very useful for training of biopotential measurements. Students can comprehend biopotential sources and elimination of noises in electrical circuits easily.

Determining the Appropriate Amount of Anesthetic Gas Using DWT and EMD Combined with Neural Network

The spectrum of EEG has been studied to predict the depth of anesthesia using variety of signal processing methods up to date. Those standard models have used the full spectrum of EEG signals together with the systolic-diastolic pressure and pulse values. As it is generally agreed today that the brain is in stable state and the delta-theta bands of the EEG spectrum remain active during anesthesia. Considering this background, two questions that motivates this paper. First, determining the amount of gas to be administered is whether feasable from the spectrum of EEG during the maintenance stage of surgical operations. Second, more specifically, the delta-theta bands of the EEG spectrum are whether sufficient alone for this aim. This research aims to answer these two questions together. Discrete wavelet transformation (DWT) and empirical mode decomposition (EMD) were applied to the EEG signals to extract delta-theta bands. The power density spectrum (PSD) values of target bands were presented as inputs to multi-layer perceptron (MLP) neural network (NN), which predicted the gas level. The present study has practical implications in terms of using less data, in an effective way and also saves time as well.

An educational virtual laboratory for sliding mode and PID control of inverted pendulum

This paper presents a new tool which teaches sliding mode control (SMC) and proportional-integral- derivative (PID) control to undergraduate and graduate students without laboratory. This educational virtual laboratory tool contains the control of inverted pendulum on the cart. This system is typical example of nonlinear and under-actuated systems. This system is also well known in control engineering for practice of various control theories. At first, the nonlinear dynamic equations of the inverted pendulum are obtained. Then a virtual laboratory tool is designed for SMC and PID. After that the simulation results are analyzed.

The first year curriculums of electrical-electronics engineering departments in Turkey

In this study, we consider evaluation of the first year undergraduate curriculums of electrical-electronics engineering departments at the state universities in Turkey (TR). The first year education is very significant, in view of the students vocational information. Therefore, the first year curriculums are explained at thirty state universities. Analyzing the curriculums, the situation of electrical-electronics engineering departments is represented. According to analyze, we propose lessons of the first year curriculum.

Equipment Need Analysis for Engineer and Technican in Telecom Sector in Turkey

In this study, equipment analysis is made for engineers and technicians in telecom sector, in Turkey. A survey is executed in this sector. 38 people are attended the survey. Participants consist of private and state sector. The survey is carried out on the six firms. The obtained results are presented as graphics. The analysis of the results is made in detail.