SEARCH RESULT

When the evolution of human being is analyzed, it is seen that almost all activities are developed by trial and error method. However, it is also known that these methods are not productive and cause much time loss. Therefore, various methods have been developed to solve the problems encountered in different situations. As to educational activities, they mainly have quite different qualities than others. In general, education and training is done collectively by bringing people at the same level together. Although we accept individuals who are brought together of the same nature, this is not a very correct approach in many cases. In fact, people have different levels of knowledge and experience. Scientific studies have even shown that each individual's learning method differs. Therefore, whatever method is used, it is difficult to obtain the desired efficiency in collective learning. In this study, a new learning method based on interactive learning and knowledge based learning systems has been developed with reference to the personal differences that emerged during learning. With this method, first, the strong and weak aspects of the person related to the subject to be learned are determined and then the interactive learning is provided with the designed interface. In this learning method where learning is performed at different periods with asynchronous learning techniques, creating permanent learning by taking individual differences into account is the ultimate goal.

International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES

Gokhan Atali D.KARAYEL S.S.OZKAN

Maintenance management helps to keep industrial systems in their optimum operating conditions. Thus, industrial maintenance is an inevitable service for an efficient production system. Essentially, the nominal life of each part of industrial products is anticipated by the designers in their design phase. Depending on this approach, the design life of most equipment requires periodic maintenance. However, the operating conditions and environment of many industrial equipment directly affect the maintenance period. For example, belts need a proper adjustment and alignment. Rotating elements require a proper lubrication, and so on. Therefore, the nominal life anticipated at the design stage does not occur for most industrial system components. This case is a very important risk factor for critical sectors. On the other hand, the conventional maintenance programs such as reactive, preventive and predictive cannot provide successful to adequately contribute to the solution of the problem. This study have been focused to investigate different approaches to how maintenance can be performed to ensure equipment reaches its design life. So, the main purpose of the study is to determine mechatronic system failures before they occur. For this purpose, as an initial study, a general framework for internet of things (IoT) based maintenance management model have been developed.

International Symposium on Industry 4.0 and Applications
ISIA

Ekrem Çalışkan Gokhan Atali D.KARAYEL S.S.OZKAN Recep Kılıç

Günümüz endüstrisinde mobil robotların yeri ve önemi her geçen gün artmaktadır. Endüstride sıralama, taşıma ve yerleştirme gibi amaçlarla mobil robotların kullanımı artık bir tercih değil gereksinim haline gelmektedir. Çizgi, manyetik alan, kızılötesi ışın veya görüntü izleme gibi metotlarla, mobil robotların konumlandırılması ve yol planlamalarının yapılması mümkündür. Bu metotların kullanımı, uygulama sahalarına göre değişiklik arz etmektedir. Endüstride başlangıçta çizgi izleyen taşıyıcı mobil robotlarla başlayan mobil robot uygulamaları gün geçtikçe kendini geliştirmekte ve farklı metot arayışlarına geçilmektedir. Endüstri 4.0 başlığı altında konu incelenecek olursa mobil robotların kabiliyetlerinin yenilikçi teknolojilerle donatılması gerekliliği ortaya çıkmaktadır. Hızlı, etkili ve pratik çözüm sunabilecek mobil robotlara olan ihtiyaç, akademisyenler ve ticari ürün geliştiricileri tarafından incelenmektedir. Bu çalışmada, dağıtık hareket kabiliyetine sahip endüstriyel mobil robotların yol planlaması üzerine QR kod tabanlı bir çalışma yürütülmesi amaçlanmaktadır. Bu amaçla mobil robot çalışma alanı, koordinatlar QR kodlar ile temsil edilecek şekilde matris formunda hazırlanmıştır. Bu şekilde geliştirilen yol planlama algoritması mevcut algoritmaların bir türevi olarak değerlendirilebilmektedir.

International Symposium on Industry 4.0 and Applications
ISIA

Gokhan Atali S.S.OZKAN D.KARAYEL Zeynep Garip

The cement industry is one of the most important supporting elements of construction sector and it has a very important role in the economy of countries. On the other hand, in this sector, the cost of energy contains a very important part of the total production costs. Therefore, to reduce production costs without negatively affecting product quality, the most important possibility is to use energy efficiently. In other words, energy efficiency is an inexpensive opportunity to reduce production costs and even pollutant emissions of the plant while the other solutions are expensive and inefficient. At cement production, there are a lot of sub processes such as raw material extraction, crushing, grinding, pre-heater phase, kiln phase, cooling, final grinding, packing and shipping. So, the plant is an integrated system consisting of a number of sub-units. Moreover, these subsystems are in remote locations to each other. The control of such very large integrated systems is difficult and it requires to use Distributed Advanced Control Systems. In this study, Industrial Internet of Things (IIoT) has been used for improve energy efficiency in cement plants. The IIoT is the use of Internet of Things (IoT) technologies in industry and it particularly is suitable for large enterprises. Because, the Industrial Internet, IIoT incorporates machine learning and big data technology, harnessing the sensor data, machine-to-machine (M2M) communication and automation technologies that have existed in industrial settings for years. This study is the first step of a very comprehensive project and is a general framework. In the study, firstly the energy use of plant has been analyzed and the current energy efficiency has been evaluated. After, a model based on energy efficiency has developed by using IIoT. It will be expected that this model will be the basis for future studies.

International Symposium on Industry 4.0 and Applications
ISIA

Ahmet Kolip Gokhan Atali S.S.OZKAN D.KARAYEL

Maintenance management helps to keep industrial systems in their optimum operating conditions. Thus, industrial maintenance is an inevitable service for an efficient production system. Essentially, the nominal life of each part of industrial products is anticipated by the designers in their design phase. Depending on this approach, the design life of most equipment requires periodic maintenance. However, the operating conditions and environment of many industrial equipment directly affect the maintenance period. For example, belts need a proper adjustment and alignment. Rotating elements require a proper lubrication, and so on. Therefore, the nominal life anticipated at the design stage does not occur for most industrial system components. This case is a very important risk factor for critical sectors. On the other hand, the conventional maintenance programs such as reactive, preventive and predictive cannot provide successful to adequately contribute to the solution of the problem. This study have been focused to investigate different approaches to how maintenance can be performed to ensure equipment reaches its design life. So, the main purpose of the study is to determine mechatronic system failures before they occur. For this purpose, as an initial study, a general framework for internet of things (IoT) based maintenance management model have been developed.

International Symposium on Industry 4.0 and Applications
ISIA

Ekrem Çalışkan Gokhan Atali D.KARAYEL S.S.OZKAN Recep Kılıç