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In agricultural activities, it is very important to get high-yield harvests at low costs. To get a high yield from the harvest, it is necessary to choose products and fertilizers suitable for the agricultural land. Getting high yields with low costs in agriculture is also possible with smart agriculture. With smart agriculture, agricultural activity stages can be controlled; Precautions can also be taken against negativities that may arise from external factors. To control agricultural lands remotely; Internet of Things (IoT) based sensors require hardware systems to receive data from these sensors and send them to the server. The data sent to the server is evaluated with artificial intelligence algorithms and the need for the land is determined according to the result and the need for fertilizer, irrigation need, etc. suitable for the agricultural stage is determined. Processing is carried out according to needs. For this purpose, in this study, hardware products, including field and server modules, were developed to capture sensor data from agricultural land with IoT and send it to the server. Data sets taken from open-access websites were used to train models with machine learning methods, one of the fields of artificial intelligence. The data taken from the field is evaluated with the created machine learning models, allowing the selection of products and fertilizers suitable for the land. [ABSTRACT FROM AUTHOR]

Copyright of Dokuz Eylul University Muhendislik Faculty of Engineering Journal of Science & Engineering / Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi is the property of Dokuz Eylul Universitesi Muhendislik Fakultesi Fen ve Muhendislik Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Industry 4.0, the fourth industrial revolution, focuses on the increasing digitization and interconnection of goods, products, value chains, and business models. It aims to transform traditional industries into smart industries by incorporating innovative technologies, connecting people, things, and machines globally. This revolution creates smart factories and manufacturing environments by integrating physical assets into interconnected digital and mechanical processes. A growing domain the Internet of Things (IoT), has changed the way people communicate and interact with things around them, turning common objects into connected objects, providing a universal connection to the Internet. The Internet of Things is a rapidly growing technology that greatly contributes to the realization of Industry 4.0. By connecting the physical world to the digital world, IoT seeks to penetrate our daily environment of people and things "anytime, anywhere, anything and anyone", ideally using any network and service. IoT healthcare, quality control, logistics, energy, agriculture and manufacturing Industrial Internet of Things (IIoT) provides efficient and sustainable production by breaking new ground for a better understanding of the production process. The article explains the concepts of IoT, IIoT, and Industry 4.0, while also delving into the opportunities, threats, and challenges associated with their implementation in a detailed manner. [ABSTRACT FROM AUTHOR]

Copyright of Itobiad: Journal of the Human & Social Science Researches / İnsan ve Toplum Bilimleri Araştırmaları Dergisi is the property of Itobiad: Journal of the Human & Social Science Researches and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Internet of things (IoT) is a collection of various types of devices that has sensors and connected to each other over a network. This technology was first implemented in 1982 and today, especially with the spread of the internet, it is frequently used in many areas such as identification and monitoring technologies, wired and wireless sensors and distributed information systems. As its usage areas have expanded, this technology has started to be used for data collection purposes. On the other hand, in an era where workable data has gained significant value, collecting data via the IoT has become an important endeavor not only for researchers in the field of data, but also for those who want to gain commercial benefits from this data. This situation has revealed the need to market such data in a reliable and healthy way. Due to its features such as transparency, immutability of records and decentralization, blockchain technology stands out as an effective and safe method to meet this need. In this work, with the help of SysML diagrams, it is examined that how an ideal blockchain-based data trading platform should be. In this direction, first the components of the platform were determined and the relations between these components were analyzed. In addition, the requirements needed for this system to work safely and effectively have been defined. Moreover, how these requirements can be met is demonstrated through an example scenario. [ABSTRACT FROM AUTHOR]

Advances in technology have allowed people to collect produced data in many different sources and analyze it. The collected data from sensors, mobile devices, and the internet of things are in the form of streaming data, and it is a hard problem to retrieve useful information from such data. In streaming data clustering which is one of the most frequently used methods to analyze streaming data, data is analyzed by dividing it into various groups according to their distribution. However, algorithms that perform these analyzes encounter problems in terms of both runtime and clustering performance. In this study, BT-AR Stream algorithm using ball-tree data structure and VP-AR Stream algorithm using vantage-point tree data structure are suggested as an alternative to KD-AR Stream algorithm used in streaming data clustering. These new proposed algorithms are compared with the KD-AR Stream algorithm in terms of both runtime and clustering quality. The comparison process is performed on 18 data sets with different characteristics and the results of the comparison are presented with tables and graphs. According to experimental studies, it has been seen that all three algorithms give successful results in general. However, BT-AR Stream algorithm achieved better results than the other two algorithms with 89.15% ARI, 96.83% Purity and 67.18% Silhouette values on the KDD dataset. In addition, BT-AR Stream algorithm differs positively from the other two algorithms in terms of runtime. [ABSTRACT FROM AUTHOR]

Wireless network technology systems and application appear as a constantly developing network technology. Enterprise network infrastructures, where the number of users are intense and data transfer processes continue, needed new generation wireless network infrastructures with the developing technology. The latest generation wireless network technology, 802.11ax (Wi-Fi 6) will be the most important part of enterprise wireless network systems in the coming years. It is observed that the importance of speed, performance and security issues in wireless network areas is increasing as 802.11ax (Wi-Fi 6) and 5G technology are becoming widespread compared to being a new infrastructure. With the emergence of new technological network devices and end-user products, IEEE 802.11ax technology allows users to transfer data without loss of performance on their wireless connections with the more secure password encryption level WPA-3 and file transfer. 802.11ax (Wi-Fi 6) OFDMA, 1024-QAM, MU-MIMO support that allows users to stay in touch without losing performance on their wireless connections in file transfer. It reaches data rate reaching 10Gbps bandwidth. The fact that it works in this field to solve energy and security problems in IoT devices strengthens the adaptation to 802.11ax technology. In this study, while examining the IEEE 802.11ax standard technology, we will compare the old generation 802.11a, b, g, n, ac wireless network technologies and evaluate the future advantages of 802.11ax technology with an application on a live and working real world system. As a result of the evaluation, it has been understood that the IEEE 802.11ax standard technology is a better technology compared to the previous generation standards. [ABSTRACT FROM AUTHOR]

Copyright of Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji is the property of Gazi University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Nowadays, smart cities solutions have been becoming popular day by day. The problem of finding a parking place is one of these implementations. Our study appeals to users who want to park their vehicle quickly and who want to find out whether the parking place is available to park before searching for a parking place. This application aims to find a solution to the problem of searching for a place to park. We have found a novel solution to this problem by using image processing methods and utilizing photographs of streetside parking places in the most effective way. In addition, an Android software has been developed through which we can deliver the results obtained with the image processing module to users via a mobile application. As a result, a parking IoT determination system has been implemented in this study with 92% accuracy value. Thanks to this system, vehicle owners who want to park their vehicles on the side of the street will be able to learn whether the parking places in a street are available in advance and they will be able to save their time by preferring more available streets.

Copyright of Journal of Defense Sciences / Savunma Bilmleri Dergisi is the property of Turkish Military Academy Defense Sciences Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Fire is a natural disaster that causes ecological, social and economic damage. With global warming and the widespread use of explosive/flammable chemicals, fires have become one of the most important problems for humanity. Early fire detection is critical to minimize destruction. For this reason, studies on fire detection through images have begun to be carried out in order to detect fires early. In recent studies for fire detection from images deep learning algorithms are generally used. These studies focus on the analysis of images taken from cameras with models running on powerful servers. With the developments in mobile devices and internet of things, images can analyzed on edge devices. In the study fire and smoke detection model which requires low processing power has been developed to enable the images to be analyzed on mobile device without transferring them to server. The MobileNet convolutional neural network was revised, the last 3 layers were removed and replaced with a flattening layer and a dense layer consisting of two nodes. Fire and smoke detection model, the method with the highest accuracy was determined among the models developed using revised MobileNet, original MobileNet, MobileNetV2, EfficientNetB0, ShuffleNet, NASNetMobile and PeleeNet convolutional neural networks. To train and test the models, 80% of the dataset consisting of 43,355 images was used for training and 20% for testing. According to test results, highest accuracy rate of 98.37% was achieved in the revised MobileNet. [ABSTRACT FROM AUTHOR]

In this study, a non-invasive diagnosis that can be used to diagnose Sleep Apnea, which may pose a risk for cardiovascular diseases, obstruct airways and are the most common diseases related to breathing method has been developed. For this application, the Deneyap Card, which was developed with local and national facilities, was used. Three-axis IMU accelerometer sensor (LSM6DSM), which is built into the Deneyap card, is used as a detector. A symbolic but realistic environment has been created in which test measurements of sleep apnea disease will be carried out. In this context, a plastic doll model was used to make the measurements. As a result of the study, many parameters of the patient such as the patient's position, how long he lay in which position, how many times he changed positions during sleep, and in which position he entered apnea were successfully measured and recorded on the SD card. By developing an Internet of Things (IoT)-based system that will allow the remote monitoring of the measured parameters, the data can be successfully monitored by transmitting it to different environments. With this study, a subjective study that can shed light on future studies has been brought to the literature by using our local-national card, the Deneyap Card. [ABSTRACT FROM AUTHOR]

The increase in the number of vehicles brings parking needs in city centers. Many studies are being carried out to solve the problem and new parking lots are constructed. With the developing technology, smart systems are effectively used to increase the capacity of existing car parks. Unfortunately, both putting new car parks into service and equipping existing car parks with technological facilities cannot solve the problem. This highlights that public transportation is used effectively instead of vehicles. On the other hand, the idea of enabling people to reduce parking time is a partial solution. Thus, new smart parking mobile application called “Let's Share a Single Vehicle Park-TAPP was developed conceptually. In the system, utilization period must be specified by the user. Users who specify the duration of utilization are rewarded as a fee when they comply. If they do not, they are faced with overpayment and parking utilization restriction. The parking capacity will be planned instantly and an effective operating performance will be achieved. The factors affecting the proposed system were determined by SWOT analysis and the weighting of each factor using the AHP method was obtained by pairwise comparisons. With the A'WOT analysis, it has been determined that the increase in the need for parking spaces with the increase in the number of vehicles. The need for parking, which is the most important factor due to the increasing number of vehicles, shows the need for such innovative systems when all general factor weights of factors are evaluated together. [ABSTRACT FROM AUTHOR]

Industry 4.0 is transforming and reshaping the production methods in all sectors, and significant-changes are also anticipated in television broadcasting in the near future. Artificial intelligence and robotic systems, virtual reality applications, big data, the Internet of Things, and cloud computing, among other components of Industry 4.0, are expected to enable automation in television broadcasting, diversify and expand broadcast content. However, it is also foreseen that employment issues will arise. The aim of this research is to elucidate the views of television professionals on contemporary television broadcasting, their perspectives on the evolving form of television broadcasting in the emerging world of Industry 4.0, and whether automation in broadcasting creates employment concerns. To achieve this objective, data was obtained through in-depth interviews using qualitative research techniques. Eight media professionals from different fields of television broadcasting, which could be affected by the nature of their work by developments in Industry 4.0, were selected using purposive sampling for the interviews. According to the findings, television workers in Turkey find contemporary television broadcasting technically successful but consider it lacking in terms of content quality. Participants believe that media quickly adapt to new technologies, and while some job sectors may disappear in Industry 4.0, new areas of expertise will emerge. The results show that most participants believe that television will be different from its current form in the near future as we enter Industry 4.0, and it will continue to exist in the future. [ABSTRACT FROM AUTHOR]

Copyright of Balkan & Near Eastern Journal of Social Sciences (BNEJSS) is the property of Balkan & Near Eastern Journal of Social Sciences (BNEJSS) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The Internet of Things (IoT) is one of the technologies used in many fields today. Cyber attacks against IoT/Industrial IoT (IIoT) networks, which are increasingly used thanks to the convenience it provides, are constantly increasing. Detection of attacks against IoT/IIoT networks is one of the popular topics recently. The development of a dataset for IoT applications is essential for the intrusion detection in IoT networks. In this context, the ToN_IoT dataset created in the laboratory of UNSW Canberra (Australia) is one of the most comprehensive datasets that can be used to detect cyber attacks on IoT networks. In this study, fridge, garage door, GPS tracker, modbus, motion light, weather, thermostat datasets related to IoT sensors from ToN_IoT datasets were used. The datasets used were subjected to multi-class classification with the Light Gradient Boosting Machine (LGBM) classifier proposed in the study. The obtained results were compared with the literature and it was seen that the proposed method provided the highest classification performance in the literature. It has been determined that the proposed method is effective in preventing cyber attacks on IoT/IIoT networks.

Information and communication technology is developing rapidly and many disruptive technologies such as cloud computing, Internet of Things, big data analytics and artificial intelligence are emerging. These technologies permeate the manufacturing industry and enable the fusion of the physical and virtual worlds through cyber-physical systems (CPS), which marks the advent of the fourth stage of industrial production (i.e. Industry 4.0). Industry 4.0 encompasses a large number of digital technologies affecting manufacturing businesses. The widespread application of CPS in production environments is making production systems increasingly intelligent. However, there is still a lack of comprehensive research on the applications of technologies enabling Industry 4.0 in manufacturing lifecycle processes. In order to advance research on the application of Industry 4.0 in the manufacturing industry, firstly, a conceptual framework for Industry 4.0 is presented in this study. Secondly, sample scenarios related to front-end technologies presented in this framework are explained. In addition, Industry 4.0 core technologies and their possible applications for Industry 4.0 smart manufacturing systems are reviewed. Finally, challenges and future perspectives are identified and discussed. [ABSTRACT FROM AUTHOR]

In today's smart homes, the infrastructure of IoT (Internet of Things) technology is used. As the use of smart homes increases, cyber attacks in this area are also increasing. It is very important to detect and prevent cyber attacks on smart homes as early as possible. In this study, a machine learning-based method is proposed to detect and prevent cyber attacks against smart homes. First of all, a smart home platform was created using the “Home Assistant” technology. Smart homes make extensive use of “Home Assistant” technology. The created smart home platform makes use of sensors and cameras. People can monitor and manage their homes remotely using sensors and cameras. Seven attacks, namely “brute force ftp”, “brute force ssh”, “dos http flood”, “dos icmp flood”, “dos syn flood”, “syn scan” and “udp scan” were carried out on the developed smart home platform. The collected dataset consists of eight classes with “normal” packages. A total of 435815 sample data were collected for eight classes. XGBOOST algorithm was used on this obtained dataset and attack types were classified. For Hold-out 80:20 and Hold-out 70:30 training test data, 92.55% and 92.49% accuracy were calculated, respectively. The results of the proposed XGBOOST algorithm were compared with the results of other machine learning algorithms and the results were found to be successful. [ABSTRACT FROM AUTHOR]

Copyright of Dokuz Eylul University Muhendislik Faculty of Engineering Journal of Science & Engineering / Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi is the property of Dokuz Eylul Universitesi Muhendislik Fakultesi Fen ve Muhendislik Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Turcology Research is the property of Ataturk University Coordinatorship of Scientific Journals and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Evrensel Tak ve Çalıştır (Universal Plug and Play, UPnP) ve IoT iletişim protokolleri sayesinde cihazların birbirleriyle ve ağ ile bağlantıları çok daha kolay ve hızlı yapılabildiğinden ev ağındaki bağlantı sayısı da artmıştır. Akıllı televizyonlar ve temizlik robotları gibi akıllı cihazlar, yaşam konforumuzu artırmakta ve ev ağı üzerinden tüm dünyaya bağlantı sağlar hale gelmiştir. Bu nedenle, ev ağının internete bağlı olduğu gerçeği ağdaki akıllı cihazların güvenlik durumlarının sorgulanması ihtiyacını ortaya çıkarmıştır. Bu çalışmada, ev ağı içerisindeki popüler cihazların güvenlik seviyelerinin analiz edilmesi sağlanmıştır. Ev Ağı içerisinde UPnP zafiyetine sahip cihazların varlığını tespit etmek için Python yazılım dili kullanılarak uygulama geliştirilmiştir. Geliştirilen uygulama kullanılarak ev ağı içerisindeki 15 adet cihazdan 3 adet cihazın UPnP açıklığına sahip olduğu görülmüştür. Bir senaryo içerisinde UpNP açıklığı kullanılarak saldırı uygulaması gerçekleştirilmiştir. Bu çalışma ile evdeki ağ ve iletişim yöntemleri güvenliğinin yanında her bir IoT cihazın güvenliğinin sağlanmasının gerekliliği ayrıntılı olarak sunulmuştur.

Copyright of Çankırı Karatekin University Journal of the Faculty of Economics & Administrative Sciences is the property of Cankiri Karatekin University, Faculty of Economics & Administrative Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study has been carried out in order to question the ethical problems that big data-based products cause or may cause on privacy, and to reveal redictions for the future, in today's world where big data technology has developed and entered every area of our lives and brought privacy discussions with it. In this direction, 8 scenes selected from the "The Entire History of You" episode of the Black Mirror series, based on science fiction films and TV series that can reflect the future, were analyzed according to the semiotic analysis methods of Sassure and Barthes, and were examined in the context of ethical discussions on privacy in big data. According to this analysis, it was seen that the big data product with augmented reality and internet of things features in the series caused violations of personal and personal information privacy. It is thought that these violations will contribute to the ethical dimension of privacy in future big data studies. [ABSTRACT FROM AUTHOR]

Copyright of TYB Akademi Dil Edebiyat & Sosyal Bilimler Dergisi is the property of Turkiye Yazarlar Birligi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Izmir Katip Celebi University Faculty of Health Sciences Journal / İzmir Katip Çelebi Üniversitesi Sağlık Bilimleri Fakültesi Dergisi is the property of Izmir Katip Celebi University, Faculty of Health Sciene Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Agriculture has been important all over the world since the first days of humanity. The development of agriculture is proportional to the development of humanity. Today, people have reached the point they have reached in technology with agriculture. Today, the use of technology with different topics is effective in ensuring the development of agriculture. The concept of smart agriculture was born from here. The hardware and software used today provide convenience to manufacturers, production increases and businesses gain more profit. For this purpose, cloud systems, internet of things, artificial intelligence applications and many other technologies are used. In this study, it is focused on designing applications that can be used in smart agriculture in the light of current technologies, especially cloud systems and internet of things for producers. In addition, studies on smart agriculture in the literature were analysed by using the document analysis method. It has been determined that the studies on smart agriculture in the literature are similar. According to the research findings, applications related to smart agriculture aim to enable producers to obtain products with less cost. It can be suggested that manufacturers and experts working in the field of informatics work together to achieve this.

Amaç: Bu makalenin amacı, Endüstri 4.0 ile önemi artan dijital ikiz kavramının yeri, önemi, verimliliği ve gelecekteki potansiyelini anlamak, diğer çalışmalar için temel oluşturmak adına literatüre katkı sağlamaktır. Yöntem: Bu çalışmanın yöntemi literatür taramasıdır. Dijital ikiz ve işletmelerde kullanımı ile ilgili en güncel makaleler, bildiriler, gazete ve internet haberlerine dair örnek uygulamalar incelenerek, konu ile ilgili derinlemesine bir derleme makale çalışması yapılmıştır. Bulgular: Değerlendirme sonuçlarına göre, dijital ikiz teknolojisi işletmeler için bir çözüm yoludur. Dijital ikiz teknolojisinin katkısı ile siber fiziksel sistemler ve nesnelerin interneti başta olmak üzere Endüstri 4.0 teknolojileri daha etkin kullanılabilmektedir. Dijital ikiz, esnek, daha hızlı, kaliteli ve kişiselleştirilmiş ürünler elde edilmesine yardımcı olmaktadır. İşletmelerin tahmin etme, güvenlik, teşhis etme ve mevcut durumu sorgulamasında önemli avantaj sağlayan dijital ikizler, karar vermede isabet gücünü, ürün ve hizmetlerde kaliteyi, operasyonel faaliyetlerde hızı artırarak, toplamda işletme verimliliğini ve örgütsel performansı iyileştirip işletmelerin rekabet gücünü artırmaktadır. Özgünlük: Dijital ikiz kavramının yeni ortaya çıkmasına bağlı olarak literatürde önemli bir boşluk bulunmaktadır. Bu nedenle makale, dijital ikiz hakkında bilgi veren, üretimde faydaları ve uygulamaları üzerine odaklanan ilk yerli çalışmalar arasındadır.

Bu çalışmada, Kurşun asit (KA) akülerde sıklıkla rastlanan sülfatlanma sorununun çözümüne odaklanılmış, nesnelerin interneti (IoT) tabanlı enstrümantasyon devreleri kullanılarak, farklı frekanslardaki gerilim darbelerinin KA akülerin desülfasyonu üzerindeki etkileri deneysel olarak incelenmiştir. Bu amaçla, eşit koşullarda sülfatlandırılmış dört özdeş akü, farklı frekanslarda gerilim darbeleri ve DC gerilim uygulanarak şarj edilmiş, akü parametrelerindeki değişimler analiz edilmiştir. Analiz sonucunda akülerin yüke akım aktarabilme kapasitelerindeki düşüşün, DC gerilim ile şarj edilen aküde yüksek oranda, farklı frekanstaki gerilim darbeleriyle şarj edilen akülerde ise nispeten daha düşük oranda olduğu görülmüştür. Buna göre, yüksek frekanslı gerilim darbeleriyle desülfasyon işleminin, sülfatlanmış bir aküyü olumlu şekilde etkilediği görülmüştür.

In this study, an industrial internet of things (IIoT) based sensor card system has been developed to predict the failures that may occur in induction motors (IMs), which is widely used in the industry and therefore it is important to take predictive maintenance measures. The realized system has been tested on a 3-phase IM with 250 kW power and 315L body structure. The conditions of this IM were detected by the sensors in the embedded system and transferred to a cloud network with the embedded system. The ESP-WROOM-32 microcontroller, which includes Wi-Fi and Bluetooth communication protocols in the sensor card application, is mounted on a LIS3DH accelerometer that detects frequency-dependent vibration data in three axes and NTC IM at 10 KQ for temperature data. By evaluating these sensor data, predictive maintenance determinations that may occur in the IM were made and predictive maintenance decisions were made for the IM to send warnings to the users with these detections. [ABSTRACT FROM AUTHOR]

Copyright of International Journal of Disciplines Economics & Administrative Scienves Studies is the property of International Journal of Disciplines in Economics & Administrative Sciences Studies and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of SDU Journal of Engineering Sciences & Design / Mühendislik Bilimleri ve Tasarım Dergisi is the property of Journal of Engineering Sciences & Design and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study explores the concept of NFT (Non-Fungible Token), the technology on which it is based, and its usage areas. In this research, firstly, the blockchain technology on which NFT is based is examined and the way it works is explained. Then, the features of this technology and its usage areas other than popular cryptocurrencies are examined. Then, the Ethereum platform, which defines NFT as a standard, was researched and the smart contracts defined on this platform were explained. Furthermore, NFT categories are investigated, and a literature review was conducted for the applications proposed in the field of digital art and other categories. In addition, with the help of the dictionary created, suggestions were made about the Turkish translations of the concepts used in this field. There are NFT applications in many fields, especially in the art, collection and game categories. It is predicted that NFTs will find widespread use especially in supply chains and internet of things. This study deals with and explains the concept of NFT, its technology and usage areas as a whole. [ABSTRACT FROM AUTHOR]

Copyright of International Journal of InformaticsTechnologies is the property of Institute of Informatics, Gazi University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Balkan & Near Eastern Journal of Social Sciences (BNEJSS) is the property of Balkan & Near Eastern Journal of Social Sciences (BNEJSS) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Balkan & Near Eastern Journal of Social Sciences (BNEJSS) is the property of Balkan & Near Eastern Journal of Social Sciences (BNEJSS) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The Internet of Things (IoT) are internet-based systems that provide solutions to people's problems that enable communication of objects and decision-making skills without human intervention by using new technologies and devices. Internet of Things solutions play an active role in raising people's comfort, reliability, mobility, health and well-being. Big data generated from IoT solutions with complex and demanding applications can contain heterogeneous datasets with different and multiple sources. Data and sensor fusion processes are of great importance in technological solutions using sensor technologies. It is critical and very important to be able to perform operations such as reducing data size, optimizing data traffic density, and extracting useful information from raw data. In this context, it is aimed to correct problematic data, increase data reliability and protect data integrity in the data fusion process. Identifying the most common data fusion challenges in IoT solutions using smart systems and presenting possible solution approaches highlights the unique aspect of our work. In this study, current literature studies are examined in detail, data types, fusion levels, methods used and results obtained in IoT solutions applied in smart cities are presented in tabular form. [ABSTRACT FROM AUTHOR]

Copyright of International Journal of Engineering Research & Development (IJERAD) is the property of International Journal of Engineering Research & Development and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the start of the digital transformation process, conventional information services’ current structure and presentation formats have been moved to a different dimension. The diversity of information carriers and the easy access of people to such devices have led to change and differentiation in information services, forcing service providers to produce innovative solutions. This situation has caused a necessary change in information services in super-intelligent societies that are tried to be created with human-robot cooperation. Society 5.0 aims to increase society’s welfare level and produce technology-based solutions to social problems by making use of the opportunities offered by technology. Society 5.0 is an equivalent word that corresponds to the expression super-smart society and is used with this meaning in the scope of the study. There aren’t enough studies in our country on Society 5.0, the foundations laid as a project in Japan in 2015. The subject is unknown, its importance cannot be understood, and the information services provided can experience problems adapting to the new generation of services. The study is aimed to follow the technological developments with the global agenda and to raise awareness for the renewal of the services offered in the information centers with these developments. The study was prepared based on the current literature, including the Society 5.0 project, the effects of the digital transformation process, and information services in super-smart societies. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Engineering & Architectural Faculty of Eskisehir Osmangazi University / Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi is the property of Eskisehir Osmangazi University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of International Journal of InformaticsTechnologies is the property of Institute of Informatics, Gazi University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the study, it was aimed to determine the barriers in the practice of the Internet of Things in businesses operating in Turkey. In line with this purpose, a mixed research method was designed. In the study which comprised of three stages, in the first two stages, Delphi method was used, while in the third stage, Analytical Hierarchy Process (AHP) was employed. By using the Delphi method, it was aimed to identify the barriers experienced in the practice of the Internet of Things, and with the AHP method, the purpose was to determine which of the barriers identified with the Delphi method was more critical. As a result of the study, it was found that system setup cost, operational cost, the long period of investment return, human resistance to the changes in technology, and inadequacy in the infrastructure of the Internet were determined to be the leading barriers. [ABSTRACT FROM AUTHOR]

Copyright of Verimlilik Dergisi is the property of Verimlilik Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Duzce University Journal of Science & Technology is the property of Duzce University Journal of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Dokuz Eylul University Muhendislik Faculty of Engineering Journal of Science & Engineering / Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi is the property of Dokuz Eylul Universitesi Muhendislik Fakultesi Fen ve Muhendislik Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of SDU Journal of Engineering Sciences & Design / Mühendislik Bilimleri ve Tasarım Dergisi is the property of Journal of Engineering Sciences & Design and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

There are an increasing number of lightweight devices such as smart cards, radio frequency identification (RFID) tags, wireless sensor nodes and devices associated with the Internet of Things (IoT) concept, all of which need effective and lightweight security structures. One of the basic elements used in authentication protocols is the nonce values that are generated by PRNGs. Also random numbers are used for encryption process in secure communication. Proposed PRNG has demonstrated great suitability for devices with limited resources in terms of performance, resource usage and randomness. This generator is tested with NIST statistical test suite (NIST STS), which is one of the most comprehensive randomness test tools. It is also implemented, tested on wireless identification and sensing platform (WISP) passive RFID tag and compared with well-known PRNGs. As a result of the comparisons, it has better results than its rivals.

Industry 4.0 is a new disruptive (r)evolution that not only affects the production systems of companies but also affects the society as a whole. This new revolution brings several new benefits to firms, such as; a more flexible production system, individual production, digital value chain, new business models, resource, and energy efficiency. Therefore, it is very important for firms to be aware of the Industry 4.0. In this study, the Industry 4.0 awareness of the firms located in İzmir and Manisa is investigated. Moreover, a chi-square analysis is conducted in order to determine the relationship between firm size and awareness of Industry 4.0’s terms and R&D budget of firms and awareness of Industry 4.0’s terms.

Değişen ve gelişen, gittikçe daha karmaşık hale gelen teknoloji, hayatın birçok yerinde büyük bir değere sahiptir. Bu teknolojiyi kullanan şirketlerin büyük bir adım attığı ve bu teknolojinin gerisinde kalan şirketlerin de yok olma tehlikesi altında olduğu görülmektedir. Günümüzde sürdürülebilir tedarik zinciri, müşteri gereksinimlerindeki değişimi karşılamak için çok gerekli hale gelmiştir. Şirketlerin, odak noktasını sürdürülebilirliğe doğru kaydırmada hızlandırması ve kuruluşun hedefini karşılamak için nesnelerin interneti gibi teknolojileri kullanması gerekmektedir.Bu çalışmada, tedarik zinciri yönetimi, nesnelerin interneti ve Endüstri 4.0 dikkate alınmıştır. Endüstri 4.0 dönüşümü için nesnelerin interneti kullanılarak sürdürülebilir tedarik zincirinde bulunan potansiyel fırsatlar araştırılmıştır. Literatürden de yararlanılarak kriterler belirlenmiştir. Şirketlerin Endüstri 4.0 dönüşümüne hazır olduklarını ve bu dönüşümü gerçekleştirmek için değerlendirebilecekleri bu kriterlerin Analitik Hiyerarşi Prosesi (AHP) ve Analitik Ağ Süreci (AAS) yöntemleri ile önceliklendirilmesi yapılarak sonuçlar elde edilmiştir.

Bu çalışma, isminde de yer aldığı üzere, kamu politikalarının uzamı ve aracı olarak nesnelerin internetini karşılaştırmalı bir siyasa analizi üzerinden özellikle gelişmekte olan ülkeler bağlamında ele almaktadır. Ülkelerin bilgi toplumuna dönüşüm süreçlerinin önemli bir bileşeni olarak nesnelerin interneti ekosistemini, gelişmiş ülkelere göre sosyal, siyasal, kültürel ve ekonomik bağlamlar öncelikli olmak üzere yapısal farklılıkları bulunan gelişmekte olan ülkeler perspektifinden bakarak değerlendirmek anlamlı bir çaba olarak değerlendirilmelidir. Bu doğrultuda çalışma, nesnelerin interneti ve bileşen bilgi teknolojilerini Türkiye örneğinde bir “fırsatlar” ve “tehditler” alanı olarak tartışmaktadır. Çalışmanın sonunda, Türkiye için nesnelerin interneti yönetişimi bağlamında bir dizi öneri geliştirilmiştir.

Today, the existence of businesses and their competitive advantage depend on being aware of technological returns. The fourth industrial revolution, also known as Industry 4.0, which first emerged in Germany in 2011, has opened the door to a new era for almost all sectors with its technological innovations. It is expected that the logistics sector, which has vital importance at every point of the supply chain, will be one of the sectors most affected by this revolution. In this direction, industrial revolutions were examined in the order in this study, the components of Logistics 4.0 were mentioned and a literature review was made. In the last part, an application was made on Industry 4.0 awareness in the logistics sector by using the survey data collection method, a total of 233 valid participants were reached, and the Industry 4.0 awareness levels of the logistics companies operating in the province of Konya were tried to be determined. The data obtained in the conclusion part of the study were analyzed and concluded with the help of the SPSS statistical program. In general, it has been determined that businesses have a certain level of awareness, regardless of whether they actively use Logistics 4.0 technologies, but not at the desired level at the point of application. [ABSTRACT FROM AUTHOR]