Container-Based Virtualization for Bluetooth Low Energy Sensor Devices in Internet of Things Applications

Internet of Things (IoT) has become a continuously growing concept with the developments of ubiquitous computing, wireless sensor networks (WSN). With the industry 4.0 revolution, all production activities such as logistics, finance, agriculture, energy and almost all the service and infrastructure applications used by people in the cities we live in will undergo a major change within the IoT paradigm. In this study, a prototype model has been developed and its performance is investigated. Our prototype model can reach the advertisement data of Bluetooth Low Energy sensor devices by using container-based virtualization technology and directly working at layer 2 (L2) of Transmission Control Protocol/Internet Protocol (TCP/IP). Virtualization mechanism for the sensor devices could help to exchange context-aware information with Internet Protocol Version 6 (IPv6) structure. Also with virtualization may emerge interoperable sensor node platforms of heterogeneous environments from different vendors

Clarification of Creative Innovation Components in Management

Managers should understand the variables of innovation or the key points of creative innovation to ensure that businesses can decide fast and move correctly. Therefore, the purpose of this research is to analyze the key connections of innovation relations and creative innovation on management. This research will analyze five key issues: The processes of understanding the customers and users of the business. The ability of management to run the business and achieve business objectives. The employees' belief in creative innovation. The creative climate of the business. The support process of the business. As a result, five innovation variables of businesses will be analyzed and enlightened

COMPARISON OF SELF-CONFIDENCE LEVELS OF FOLK PLAYERS AND SEDENTARY UNIVERSITY STUDENTS – THE SAMPLE OF YOZGAT PROVINCE, TURKEY

This research has been carried out to compare the self-confidence of university students who play folk dance and the ones who do not. The research was carried out on 170 people in 2019-2020 academic year, including 85 students who were studying at Bozok University and playing folk dance and 85 students who did not play folk dance. In the research, personal information form and self-confidence scale that is developed by Akın (2007) were used. The data that is obtained were transferred to SPSS 18 statistics package program. T test and Anova analysis were also used throughout analysing the data. In agreement with the results of analysis, statistically significant differences were found in internal self-confidence and external self-confidence sections according to gender and playing folk dances (

RESEARCH OF THE EFFECT OF FOLK DANCE IN WOMEN ON 30 METER SPRINT PERFORMANCE

In the study, it was aimed to examine the effect of folk dance practice of Gaziantep region on 30 meters sprint performance. A total of 64 women, 32 experimental groups and 32 control groups, who had no previous sports background and did not play folk dances voluntarily participated in the study. For eight weeks, the experimental group played games with high levels of movement, such as koseyri, maney, havarişko, sparrow, and hallum, belonging to the Gaziantep region, for two days three hours a week on Saturdays and Sundays. Measurements were taken as a pre-test before the training program started and as a post-test after the training program. In our study, 30 meter sprint test was used for the subjects. In the data obtained at the end of the study, a statistically significant difference was found in the comparison of the pre-test and post-test results of the 30 meter sprint performance values of the experimental group (P 0.05). As a result, we think that the dances played in folk dances studies contributed positively to the speed development. Article visualizations

THE EFFECT OF FOLK GAMES TRAINING ON QUICKNESS IN 14-16 YEARS OLD WOMEN

In this study, it was aimed to examine the effect of 8-week folk dances on women's quickness performance. A total of 60 women, including 30 experimental group and 30 control group, voluntarily participated in the study. The experimental group was played on Saturday and Sunday for three hours, two days a week, for three hours a week. The control group was not subjected to any training. Measurements were taken as pre-test and post-test at the beginning and end of the work program. The normality distribution of the data was determined by the Shapiro-Wilks test. Since the data has a normal distribution, the t-test, one of the parametric tests, was used for comparisons between groups. Paired t test was used for in-group comparisons. According to the analysis results, a statistical difference was found in the pre-test and post-test values of the experimental group's quickness values. In the control group, no difference was detected. As a result, it can be said that folk dance practices, which have an important place in our culture, positively affect the values of quickness. Article visualizations

Çağrı Merkezi Hizmetlerinde Müşteri Beklentisi Boyutlarının Müşteri Tatmini Üzerindeki Etkisinin PLS-Sem İle Ölçümü The Measurement of the Influence of Customer Expectations’ Dimensions on Customer Satisfaction in Call Center Services with PLS-Sem

Günümüzde çağrı merkezleri pek çok işletme için stratejik olarak önemlidir. Çağrı merkezleri işletmelere müşterileri ile uzun dönemli ilişkiler geliştirmelerinde yardımcı olur ve müşteri tatmini için işletme ile müşteri arasında kritik bir kanalı temsil eder. Müşteri tatmininin oluşmasında çağrı merkezi çalışanlarının davranışları ve bu davranışlar ile etkilenen müşteri beklentileri önemlidir. Bu çalışmanın amacı, çağrı merkezi çalışanlarının davranışına ilişkin müşteri beklenti boyutlarının (uyarlama, güvence, empati, yetki) müşteri tatminine olan etkisini araştırmak ve işletmelere müşteri ilişkileri yönetiminde strateji önerilerinde bulunmaktır. Araştırma modelinin test edilmesi için PLS-Sem yöntemi kullanılmıştır. Elde edilen araştırma bulgularına göre, müşteri beklenti boyutlarından uyarlama, güvence ve yetki boyutlarının müşteri tatmini üzerinde istatistiksel olarak anlamlı ve olumlu bir etkisinin olduğu, empati boyutunun ise olumlu etkisinin olmadığı tespit edilmiştir. Call centers are strategically important for many companies. Call centers help companies to develop long term relations with customers and also represent an important channel between the customer and the company for customer satisfaction. The behaviour of call center employees and customer expectations that are influenced by the behaviour are important in forming customer satisfaction. The aim of this study is to explore the influence of customer expectations’ dimensions (adaptiveness, assurance, empathy, authority) on customer satisfaction and to propose strategies for companies in their customer relationship management. PLS-Sem is used for testing the research model. According to the research findings, adaptiveness, assurance a authority dimensions were found to have a statistically significant and positive influence on customer satisfaction while empathy dimension was not found to have a statistically significant and positive influence on customer satisfaction

A Long-range Context-aware Platform Design For Rural Monitoring With IoT In Precision Agriculture

The Internet of Things (IoT) applications has been developing greatly in recent years to solve communication problems, especially in rural areas. Within the IoT, the context-awareness paradigm, especially in precision agricultural practices, has come to a state of the planning of production time. As smart cities approach, the smart environment approach also increases its place in IoT applications and has dominated research in recent years in literature. In this study, soil and environmental information were collected in 17 km diameter in rural area with developed Long Range (LoRa) based context-aware platform. With the developed sensor and actuator control unit, soil moisture at 5 cm and 30 cm depth and soil surface temperature information were collected and the communication performance was investigated. During the study, the performance measurements of the developed Serial Peripheral Interface (SPI) enabled Long Range Wide Area Network (LoRaWAN) gateway were also performed

The Impact of Macro-Prudential Measures on Retail Loans: Evidence from Turkey

Following the global financial crisis, savings rate to GDP ratio in Turkey declined to severe levels. The Banking Regulation and Supervision Agency of Turkey took various macro-prudential measures to limit the retail loans in the banking sector to support the policies for increasing the savings rate. The aim of this paper is to analyze the effectiveness of these measures, thus the comparison of the growth rate of the loan types for the period of December 2010-September 2013 to October 2013-September 2015 with Welchs’ t-tests. The results of the analysis points to the success of BRSA measures with significant declines in consumer loans, namely car loans, general purpose loans and credit cards with installments.&nbsp

Gauged System Mimicking the G\"{u}rsey Model

We comment on the changes in the constrained model studied earlier when constituent massless vector fields are introduced. The new model acts like a gauge-Higgs-Yukawa system, although its origin is different.Comment: 8 pages, RevTex4; published versio

A Comparative Investigation of Random Forest Regression and Artificial Neural Networks for Predicting Crack Growth Life of a Fighter Aircraft Wing Joint Under Spectrum Loading

Estimating fatigue life is challenging due to the input parameters’ statistical natures, such as the manufacturing process, scatter of service loads, microstructure, etc. Regarding fatigue life calculation in the aerospace industry, the importance of an accurate estimation becomes more critical due to strict safety, certification, service costs, and competitiveness regulations. The ability of soft computing methods to reveal complex relationships between multiple parameters and their computational speed could help predict fatigue life, especially in the service. This study compares random forest regression and artificial neural network methods to estimate the crack growth life of a fighter jet aircraft wing joint in terms of their computational time and accuracy. In addition, permutation feature importance and hyper parameter optimisation studies are conducted to extract essential features, investigate their effects on estimation performance, and fine-tune model parameters. The analysed joint is made of 7050-T7451 aluminium, widely used as a structural element in the aerospace industry. Since a hole is one of the major sources of stress concentration, and there may be many holes involved in any engineering structure, it is reasonable to assume that fatigue cracks may initiate at some of these holes during the service life of engineering structures. The crack type considered is a thru-crack around a hole, which is more severe than a corner crack. Load spectra are derived using the Fighter Aircraft Loading Standard for Fatigue (FALSTAFF) to calculate crack growth life. Considering particular service load conditions, ninety different spectra are developed, and the crack growth life of the joint is calculated based on linear elastic fracture mechanics correspondingly. Also, to simulate the worst-case scenario, friction between members and the retardation effect of load spectra are not considered when calculating crack growth life. Python’s Tensor Flow and Scikit-learn libraries are utilised to build machine learning models.....