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The aim of this study is to present electrooculogram signals that can be used for human computer interface efficiently. Establishing an efficient alternative channel for communication without overt speech and hand movements is important to increase the quality of life for patients suffering from Amyotrophic Lateral Sclerosis or other illnesses that prevent correct limb and facial muscular responses. We have made several experiments to compare the P300-based BCI speller and EOG-based new system. A five-letter word can be written on average in 25 seconds and in 105 seconds with the EEG-based device. Giving message such as “clean-up” could be performed in 3 seconds with the new system. The new system is more efficient than P300-based BCI system in terms of accuracy, speed, applicability, and cost efficiency. Using EOG signals, it is possible to improve the communication abilities of those patients who can move their eyes.

An efficient alternative channel for communication without overt speech and hand movements is important to increase the quality of life for patients suffering from Amiotrophic Lateral Sclerosis or other illnesses that prevent correct limb and facial muscular responses. Often, such diseases leave the ocular movements preserved for a relatively long time. The aim of this study is to present a new approach for the hybrid system which is based on the recognition of electrooculogram (EOG) and electroencephalogram (EEG) measurements for efficient communication and control. As a first step we show that the EOG-based side of the system for communication and controls is useful for patients. The EOG side of the system has been equipped with an interface including a speller to notify of messages. A comparison of the performance of the EOG-based system has been made with a BCI system that uses P300 waveforms. As a next step, we plan to integrate EOG and EEG sides. The final goal of the project is to realize a unique noninvasive device able to offer the patient the partial restoration of communication and control abilities with EOG and EEG signals.

In this study a multi-channel data acquisition system has been designed, by which mass changes in small quantities can be monitored and recorded by means of a quartz crystal microbalance (QCM) technique. The whole system is controlled by an Arduino Atmega 2560 microcontroller and can be run independently or via a personal computer. A PIC16F628A microcontroller is used for each channel of the prototype device designed for the system, and frequency measurements of the QCM crystals to be used for sensor investigations have been performed by this microcontroller. The temperatures of sensor environments and ambient humidity can be measured at the same time as the frequency measurements. The frequency response performance of QCM crystal has been tested by experiment. The system is able to measure and monitor QCM frequencies in the 1–50 MHz range, at 1 ppm accuracy and 1 Hz precision. The front surface of a QCM crystal was coated with NiO by a physical vapor deposition technique, and the mass of the film layer grown on the QCM crystal surface was precisely calculated to be 26.53 µg with an error rate of less than 1%. The mass value obtained in this way is in reasonably good agreement with the values obtained by oscilloscope and frequency meter methods.

In this study, a photovoltaic (PV) panel emulator was developed based on a single diode model of a PV cell, and four prototypes of this kind emulator have been produced. In addition, an electronic potentiometer and a central control unit were developed to be used in experimental studies. Each of the developed emulators was planned to be at least 16 W in power. LabVIEW‐based interfaces were designed to reveal the electrical characteristics of the PV panel emulator and compare them with that of an actual PV panel, and the acquired electrical data were graphical analyzed with Matlab program. Results show that the developed PV panel emulator and actual PV panel characteristics are consistent with each other. A low‐cost system which does not need light source for experimental studies has been developed to be used in renewable energy laboratories, and to give psychomotor and cognitive behaviors to students.

In some previous research studies, quite successful results have been obtained in using online tools to increase students' academic achievement. In many fields; the benefits of online formative quizzes have been widely recognized by educators. However, there is little research determining whether weekly formative online exams affect students' academic achievement, especially in engineering courses. In this quasi‐experimental study, it was investigated whether the weekly quiz application method had an effect on students' academic achievement in an engineering course. One hundred and ninety sophomores participated in the study. Although the experimental group (n = 81) used the quizzes prepared on the Course Portal online to learn the Sensors and Transducers Unit, the control group (n = 109) solved the quizzes in the textbook on a paper‐pencil basis. After the online quizzes were solved, the experimental group was given which questions they answered incorrectly and the related video link of these incorrectly answered questions, and the relevant section of the book was given by the Course Portal as feedback. The pretest and posttest data of the students were obtained, and analysis of covariance was utilized as the analysis method to reveal the answer to the study question. The statistical analysis of the students' average achievement scores in the posttest (midterm exam) showed that the experimental group's average achievement score was significantly better than the control group. Results show that online weekly exams have significant effects on students' academic achievement. Weekly online quizzes are recommended to engineering lecturers as they offer students to improve their students' academic success.

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