Bu araştırmada, öğrenci yeterliliklerinin belirlenmesinde bulanık mantık hesaplama yöntemi kullan... more Bu araştırmada, öğrenci yeterliliklerinin belirlenmesinde bulanık mantık hesaplama yöntemi kullanımının kazanım ölçmesine katkısı ve bu ölçme yönteminin uyarlamalı bilgisayar testlerinde kullanılabilirliği araştırılmıştır. Ayrıca, birden fazla kazanım ile ilişkili olan soruların öğrenci yeterliliği ölçmesine etkisi de incelenmiştir. İlköğretim yedinci sınıf Fen Bilgisi ders müfredatından seçilen yedi adet kazanımın ölçülmesini hedefleyen sorular, öncelikle ilişkili oldukları kazanımlar ile bulanık değerlikler kullanılarak eşleştirilmiş ve bu değerler öğrenci kazanımı ölçülmesinde kullanılmıştır. Araştırma uygulamasında kontrol gruplu ön test-son test deneme modeli kullanılmıştır. Sorular öğrencilere, bu araştırma için geliştirilen uyarlamalı bilgisayar test uygulaması aracılığı ile sorulmuştur. Uyarlamalı bilgisayar test uygulaması, deney gruplarından birinde orta zorluk seviyesinden başlatılmış, diğer deney grubunda ise başlangıç zorluk seviyesi her öğrenci için kendisi tarafından ...
Disasters affect three-quarters of the world, they cause huge losses of life and property every y... more Disasters affect three-quarters of the world, they cause huge losses of life and property every year. Information and communication technology (ICT) - as the backbone of e-government is one of the factors that reduce the damage caused by these disasters. This paper discusses the impact of demographic factors on citizens' readiness towards ICTs and disaster management, by conducting a questionnaire form that tests the readiness of the Iraqi citizen and the extent of their interest in this technology being threatened by disaster.
In this research, the contribution of expert knowledge in question selection algorithms of adapti... more In this research, the contribution of expert knowledge in question selection algorithms of adaptive tests is studied and the employment of this approach in computerized adaptive tests is examined. In addition, the effect of multi-dimensional questions on measurement is also addressed. An algorithm utilizing the expert knowledge in computerized adaptive tests is proposed and tested in the experiments. A case study was conducted on seventh-grade science course with the utilization of fuzzy-logic based adaptive test. Consequently, by the help of the statistical studies, it is shown that computerized adaptive testing expresses the differences in student achievement levels in more visible way. Furthermore, 31 questions in maximum and 22 questions in minimum were observed to be effective for accurate assessment or student achievement levels on seven dimensions in adaptive testing. Using fuzzy logic in adaptive tests which were assessed to be effective in self-learning and distance educati...
2018 3rd International Conference on Computer Science and Engineering (UBMK), 2018
Academic interest and commercial attention can be used to identify how much potential a novel tec... more Academic interest and commercial attention can be used to identify how much potential a novel technology may have. Since the prospective advantages in it may help solving some problems that are not solved yet or improving the performance of readily available ones. In this study, we have investigated the Web of Science (WOS) indexing service database for the publications on Deep Learning (DL), Machine Learning (ML), Convolutional Neural Networks (CNN), and Image Processing to reveal out the current trend. The figures indicate the strong potential in DL approach especially in image processing domain.
The term “air-gap†is typically used to refer physical and logical separation of two computer... more The term “air-gap†is typically used to refer physical and logical separation of two computer networks. This type of a separation is generally preferred when the security levels of the networks are not identical. Although the security requirements entail parting the data networks, there is a growing need for fast and automatic transfer of data especially from high-security networks to low-security ones. To protect security sensitive system from the risks originating from low-security network, unidirectional connections that permit the data transfer only from high to low-security network, namely information-diodes, are in use. Nonetheless, each diode solution has its drawbacks either in performance or security viewpoints. In this study, we present a unidirectional data transfersystem in which the primary focus is data and signal security in technical design and with a plausible and adaptable data transfer performance. Such that the networks do not touch each other either i...
In a blended course, some portion of the classes is held as the traditional face-to-face approach... more In a blended course, some portion of the classes is held as the traditional face-to-face approach whereas the rest is conducted as a web-based online learning approach. In this paper, we focus on a selected blended course in order to observe the effects of online activities on the final success of students in that course. We opt to calculate the success of a student in a course with two metrics. The first success metric is the letter grade and the second is if the student passes or fails. We would like to predict the student success by applying an artificial neural network (ANN) model. In the model, we provided different set of features from the collected features The experiment results indicate that predicting grade letters is much more prone to errors than predicting the pass/fall result. The tests show that we can predict if a student pass or fail with about 81% accuracy considering only the number of online activities. These results indicate that, in a blended course, student su...
Spirulina is an algal microorganism that comes in four species. It is a green growth microorganis... more Spirulina is an algal microorganism that comes in four species. It is a green growth microorganism are widely used in water quality determination and monitoring. Profound learning and convolutional neural systems are turning into a broadly utilized strategy for picture classification in a number of domains. Moreover, Deep-Learning and Convolutional Neural Networks are yielding better outcomes and utilize strategy in a variety of picture classification problems. Computerized discovery of Spirulina is one of the most top research topics in the field. For this study, a broad spirulina picture dataset was specifically built. This paper presents the outcomes of a study which utilised Convolutional Neural Network technology in the spirulina discovery problem in order to ascertain whether it is appropriate to identify Spirulina. A comprehensive spirulina picture dataset was specifically devised utilizing an artificial picture augmentation technique on real pictures of spirulina gathered fr...
In Wireless Sensor Networks (WSN), sensors collect sensory data and transmits them to a central l... more In Wireless Sensor Networks (WSN), sensors collect sensory data and transmits them to a central location. In most of the use scenarios, sensors are manufactured as disposable. Therefore, sensor nodes have very limited capabilities such as battery power. Once their batter is depleted the sensor nodes become unusable. One of the most energy consuming activities is radio transmission. In this paper, we propose a method for reducing radio transmission activities and, hence, reducing power consumption at the selected sensors. In simulation experiments, the extended lifetime of these sensors are observed.
The Internet of Things (IoT) is a network of devices, vehicles, buildings and other items which a... more The Internet of Things (IoT) is a network of devices, vehicles, buildings and other items which are able to collect and exchange data. IoT devices are furnished with technologies such as electronics, software, sensors, actuators, and network connectivity in order to function as desired. A smart watch can be considered as an IoT device as they are equipped by almost all necessary technologies. In essence, smart watches are effectively wearable computers with communications and sensing capabilities. Many mobile apps run over smart watches using a mobile operating system. However, as the other IoT devices they are subject to security issues. In this paper, by surveying and reporting the security concerns and issues at smart watches, we aim to raise awareness on this matter. We also propose a road map for a more secure smart watch platform by defining the responsible actors and their responsibilities.
For recording attendance in a classroom, generally instructors collect signatures of the attendee... more For recording attendance in a classroom, generally instructors collect signatures of the attendees. Then, at the end of the semester, those signatures need to be counted and reported. This process causes waste of time and effort for both instructors and attendees. Besides this process is very error prone. Moreover, incrowded classes, there could be some misuses of this process. In this study, a smart classroom application is proposed and developed in order to monitor the attendance of the students in a classroom environment. In the design, a low-energy Bluetooth device is located at each classroom. Identification number (ID) of the low-energy Bluetooth device and the name/number of the classroom that the device is located are matched and stored in a central database. In addition to this information, the name of the courses given in that classroom and their time tables are also stored in the central database. Thus, in the database, the weekly course schedule of the classrooms is avai...
Although there are several commercial applications available in the market, fingerprint identific... more Although there are several commercial applications available in the market, fingerprint identification and verification is still a challenging task in the field of automated computing. Despite the common usage of fingerprint identification systems, current calculation algorithms need to be more developed, since the variations in scanned image significantly effects the success rate. Thus people are frequently requested to re-scan their finger in order to eliminate false-positive verifications. Unquestionably, scanned fingerprints are subject to several external distortions, as is casual scars, regional bruises and partially-blinded scanners. Hence a portion of the local features can not be identified at all. In this study the efficiency of global-image-feature set is tested on partial fingerprint scans. Findings indicate that the success rate of the global feature comparison approach on partial finger print images is %70 higher than that of local feature comparison.
Bu araştırmada, öğrenci yeterliliklerinin belirlenmesinde bulanık mantık hesaplama yöntemi kullan... more Bu araştırmada, öğrenci yeterliliklerinin belirlenmesinde bulanık mantık hesaplama yöntemi kullanımının kazanım ölçmesine katkısı ve bu ölçme yönteminin uyarlamalı bilgisayar testlerinde kullanılabilirliği araştırılmıştır. Ayrıca, birden fazla kazanım ile ilişkili olan soruların öğrenci yeterliliği ölçmesine etkisi de incelenmiştir. İlköğretim yedinci sınıf Fen Bilgisi ders müfredatından seçilen yedi adet kazanımın ölçülmesini hedefleyen sorular, öncelikle ilişkili oldukları kazanımlar ile bulanık değerlikler kullanılarak eşleştirilmiş ve bu değerler öğrenci kazanımı ölçülmesinde kullanılmıştır. Araştırma uygulamasında kontrol gruplu ön test-son test deneme modeli kullanılmıştır. Sorular öğrencilere, bu araştırma için geliştirilen uyarlamalı bilgisayar test uygulaması aracılığı ile sorulmuştur. Uyarlamalı bilgisayar test uygulaması, deney gruplarından birinde orta zorluk seviyesinden başlatılmış, diğer deney grubunda ise başlangıç zorluk seviyesi her öğrenci için kendisi tarafından ...
Disasters affect three-quarters of the world, they cause huge losses of life and property every y... more Disasters affect three-quarters of the world, they cause huge losses of life and property every year. Information and communication technology (ICT) - as the backbone of e-government is one of the factors that reduce the damage caused by these disasters. This paper discusses the impact of demographic factors on citizens' readiness towards ICTs and disaster management, by conducting a questionnaire form that tests the readiness of the Iraqi citizen and the extent of their interest in this technology being threatened by disaster.
In this research, the contribution of expert knowledge in question selection algorithms of adapti... more In this research, the contribution of expert knowledge in question selection algorithms of adaptive tests is studied and the employment of this approach in computerized adaptive tests is examined. In addition, the effect of multi-dimensional questions on measurement is also addressed. An algorithm utilizing the expert knowledge in computerized adaptive tests is proposed and tested in the experiments. A case study was conducted on seventh-grade science course with the utilization of fuzzy-logic based adaptive test. Consequently, by the help of the statistical studies, it is shown that computerized adaptive testing expresses the differences in student achievement levels in more visible way. Furthermore, 31 questions in maximum and 22 questions in minimum were observed to be effective for accurate assessment or student achievement levels on seven dimensions in adaptive testing. Using fuzzy logic in adaptive tests which were assessed to be effective in self-learning and distance educati...
2018 3rd International Conference on Computer Science and Engineering (UBMK), 2018
Academic interest and commercial attention can be used to identify how much potential a novel tec... more Academic interest and commercial attention can be used to identify how much potential a novel technology may have. Since the prospective advantages in it may help solving some problems that are not solved yet or improving the performance of readily available ones. In this study, we have investigated the Web of Science (WOS) indexing service database for the publications on Deep Learning (DL), Machine Learning (ML), Convolutional Neural Networks (CNN), and Image Processing to reveal out the current trend. The figures indicate the strong potential in DL approach especially in image processing domain.
The term “air-gap†is typically used to refer physical and logical separation of two computer... more The term “air-gap†is typically used to refer physical and logical separation of two computer networks. This type of a separation is generally preferred when the security levels of the networks are not identical. Although the security requirements entail parting the data networks, there is a growing need for fast and automatic transfer of data especially from high-security networks to low-security ones. To protect security sensitive system from the risks originating from low-security network, unidirectional connections that permit the data transfer only from high to low-security network, namely information-diodes, are in use. Nonetheless, each diode solution has its drawbacks either in performance or security viewpoints. In this study, we present a unidirectional data transfersystem in which the primary focus is data and signal security in technical design and with a plausible and adaptable data transfer performance. Such that the networks do not touch each other either i...
In a blended course, some portion of the classes is held as the traditional face-to-face approach... more In a blended course, some portion of the classes is held as the traditional face-to-face approach whereas the rest is conducted as a web-based online learning approach. In this paper, we focus on a selected blended course in order to observe the effects of online activities on the final success of students in that course. We opt to calculate the success of a student in a course with two metrics. The first success metric is the letter grade and the second is if the student passes or fails. We would like to predict the student success by applying an artificial neural network (ANN) model. In the model, we provided different set of features from the collected features The experiment results indicate that predicting grade letters is much more prone to errors than predicting the pass/fall result. The tests show that we can predict if a student pass or fail with about 81% accuracy considering only the number of online activities. These results indicate that, in a blended course, student su...
Spirulina is an algal microorganism that comes in four species. It is a green growth microorganis... more Spirulina is an algal microorganism that comes in four species. It is a green growth microorganism are widely used in water quality determination and monitoring. Profound learning and convolutional neural systems are turning into a broadly utilized strategy for picture classification in a number of domains. Moreover, Deep-Learning and Convolutional Neural Networks are yielding better outcomes and utilize strategy in a variety of picture classification problems. Computerized discovery of Spirulina is one of the most top research topics in the field. For this study, a broad spirulina picture dataset was specifically built. This paper presents the outcomes of a study which utilised Convolutional Neural Network technology in the spirulina discovery problem in order to ascertain whether it is appropriate to identify Spirulina. A comprehensive spirulina picture dataset was specifically devised utilizing an artificial picture augmentation technique on real pictures of spirulina gathered fr...
In Wireless Sensor Networks (WSN), sensors collect sensory data and transmits them to a central l... more In Wireless Sensor Networks (WSN), sensors collect sensory data and transmits them to a central location. In most of the use scenarios, sensors are manufactured as disposable. Therefore, sensor nodes have very limited capabilities such as battery power. Once their batter is depleted the sensor nodes become unusable. One of the most energy consuming activities is radio transmission. In this paper, we propose a method for reducing radio transmission activities and, hence, reducing power consumption at the selected sensors. In simulation experiments, the extended lifetime of these sensors are observed.
The Internet of Things (IoT) is a network of devices, vehicles, buildings and other items which a... more The Internet of Things (IoT) is a network of devices, vehicles, buildings and other items which are able to collect and exchange data. IoT devices are furnished with technologies such as electronics, software, sensors, actuators, and network connectivity in order to function as desired. A smart watch can be considered as an IoT device as they are equipped by almost all necessary technologies. In essence, smart watches are effectively wearable computers with communications and sensing capabilities. Many mobile apps run over smart watches using a mobile operating system. However, as the other IoT devices they are subject to security issues. In this paper, by surveying and reporting the security concerns and issues at smart watches, we aim to raise awareness on this matter. We also propose a road map for a more secure smart watch platform by defining the responsible actors and their responsibilities.
For recording attendance in a classroom, generally instructors collect signatures of the attendee... more For recording attendance in a classroom, generally instructors collect signatures of the attendees. Then, at the end of the semester, those signatures need to be counted and reported. This process causes waste of time and effort for both instructors and attendees. Besides this process is very error prone. Moreover, incrowded classes, there could be some misuses of this process. In this study, a smart classroom application is proposed and developed in order to monitor the attendance of the students in a classroom environment. In the design, a low-energy Bluetooth device is located at each classroom. Identification number (ID) of the low-energy Bluetooth device and the name/number of the classroom that the device is located are matched and stored in a central database. In addition to this information, the name of the courses given in that classroom and their time tables are also stored in the central database. Thus, in the database, the weekly course schedule of the classrooms is avai...
Although there are several commercial applications available in the market, fingerprint identific... more Although there are several commercial applications available in the market, fingerprint identification and verification is still a challenging task in the field of automated computing. Despite the common usage of fingerprint identification systems, current calculation algorithms need to be more developed, since the variations in scanned image significantly effects the success rate. Thus people are frequently requested to re-scan their finger in order to eliminate false-positive verifications. Unquestionably, scanned fingerprints are subject to several external distortions, as is casual scars, regional bruises and partially-blinded scanners. Hence a portion of the local features can not be identified at all. In this study the efficiency of global-image-feature set is tested on partial fingerprint scans. Findings indicate that the success rate of the global feature comparison approach on partial finger print images is %70 higher than that of local feature comparison.
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