4653 research outputs found
Sort by
New convolutional neural network models for efficient object recognition with humanoid robots
Get PDFHumanoid robots are expected to manipulate the objects they have not previously seen in real-life environments. Hence, it is important that the robots have the object recognition capability. However, object recognition is still a challenging problem at different locations and different object positions in real time. The current paper presents four novel models with small structure, based on Convolutional Neural Networks (CNNs) for object recognition with humanoid robots. In the proposed models, a few combinations of convolutions are used to recognize the class labels. The MNIST and CIFAR-10 benchmark datasets are first tested on our models. The performance of the proposed models is shown by comparisons to that of the best state-of-the-art models. The models are then applied on the Robotis-Op3 humanoid robot to recognize the objects of different shapes. The results of the models are compared to those of the models, such as VGG-16 and Residual Network-20 (ResNet-20), in terms of training and validation accuracy and loss, parameter number and training time. The experimental results show that the proposed model exhibits high accurate recognition by the lower parameter number and smaller training time than complex models. Consequently, the proposed models can be considered promising powerful models for object recognition with humanoid robots
Yeniliğin Yayilma Teorisiyle Türk Şirketlerin Bulut Bilişim Adaptasyonunu Etkileyen Kritik Faktörler
No full textCloud computing provides an effective computing technology in the way IT services such as data storage, network, and
application are supplied externally by companies without software and hardware, long implementations, and delayed
maintenance to decreasBulut bilişim, veri depolama, ağ ve uygulama gibi BT hizmetlerin, işletim giderlerini azaltmak amacıyla yazılım ve donanım ile
uygulamaların hızlı kurulumunu ve gecikme olmaksızın bakımlarını şirketler tarafından harici olarak sağlanan etkili bir bilg
The feminization and misrepresentation of public relations practitioners in Turkish tv dramas
Get PDFAmong the roles scattered in the scenarios of the Turkish TV dramas, PR practitioners are ascribed various roles and stereotyped personal traits which are mainly represented by the female gender. They are designed and scripted as similar stereotypes that are negative characters with similar roles. This paper examines how female PR professionals have been portrayed in Turkish TV dramas. Using the approach of media framing from the perspective of gendered profession, this paper analyzes women in a variety of public relations roles in Turkish TV dramas produced between 1998 and 2020. A total of fifty-five PR female practitioners were identified in these fifty-one TV dramas. The results show that among the fifty-five (N = 55) PR practitioner characters, the majority were women (N = 52) and that the general tone of most of the characters was negative, profit-oriented and manipulative. Interestingly, the study also notes that the few (N = 3) PR characters portrayed as male were all portrayed as gay. This reinforces the idea that PR is portrayed as a feminized field. Misleading media portrayals of PR practitioners can have a negative impact on how people view the profession
Smart transaction picking in tier-to-tier SBS/RS by deep Q-learning
No full textBy the rapid growth of e-commerce, the intralogistics sector is facing new challenges. Intralogistics sector requires more flexible, scalable processes with maximum reliability and availability. They are complicated and interconnected systems, whose all components are required to be perfectly coordinated with each other for optimal functionality. In this work, we study an intralogistics technology, shuttle-based storage and retrieval system (SBS/RS), where shuttles are tier-to-tier. In this novel system design, in an effort to increase shuttle utilization as well as decrease initial investment cost, shuttles are designed in a more flexible travel manner so that they can change their tiers within an aisle by using a separate lifting mechanism. Due to the complexity of such system design as well as aiming to obtain fast transaction process time by the decreased number of shuttles in the system, we implement a Deep Q-Learning (DQL) approach to let shuttles select the best transaction to process based on its targets. We compare the performance of the DQL by the average cycle time per transaction performance metric with the other well-known selection rules, First-in-First-Out (FIFO) and Shortest Process Time (SPT). Results show that Deep Q-Learning approach produces better results than those FIFO and SPT
Exact analysis of production lines with Coxian-2-distributed processing times and parallel machines
No full texthis study considers production lines where each station has parallel machines with 2-phase Coxian processing times. The setting in this paper is designed specifically for scrutiny of the replenishment of raw materials and finished goods inventories with intermediate buffers in-between stations. Each buffer has a limit of capacity. Raw material supply and demand for finished goods are generated according to independent stationary Poisson processes. Coxian-2 processing times can be utilized to model failure-prone machines with exponential service times, times to failure, and repair times. The second phase of Coxian-2 can also be considered as a rework operation visited with a predefined probability. We model the line as a continuous-time Markov chain and propose recursive algorithms to generate the transition rate matrix. Although the general recursive form is specific to 3-station 4-buffer lines, routines for calculating the number of states and generating the states work for any M-station (M + 1)-buffer systems. The developed model allows obtaining steady-state distribution and performance metrics such as throughput, the average number of items in the buffers, and average system cost consisting of production, holding, and shortage costs. Furthermore, we enrich our study with numerical experiments and analyze the impacts of buffer capacities, processing rates of the machines and the number of parallel machines on the system performance. Moreover, the exact analysis provided in this paper can also be used as the decomposition block for the performance analysis of longer lines
Interactıon Between Creative Clusters And The Built Environment: Digital Technologies Versus Urban Buzz
Get PDFCreative class supports the local urban development process with their social, cultural, and physical acts in the built environment while promoting the urban buzz. Because of the ongoing COVID-19 pandemic, the involvement of digital technologies in creative industries is inevitable. The study compares the conventional working model and online working process to clarify how digital turn affects the interaction between creative clusters and the built environment in consideration of social sustainability. Firstly, this paper looks at the social interactions in creative clusters, and investigates how creative class engages with the physical environment in the office environment. It also takes a step further and focuses on how digital turn takes place in this pattern by applying a case study through online surveys in Izmir, Turkey. It contains Architecture and Interior Design firms as a significant part of creative industries located in Izmir. The online survey was applied in order to get information about the space preferences of the creative clusters, and figure out the major differences between conventional working model and online working model in terms of social sustainability. The findings of this study provide insight about impacts of digitalization on creative clusters in the urban environments. It is seen that environmental behaviors of the creative class have direct effects on the process of the local urban development. Using digital technologies for communication has eliminated the surprise factor and damaged the use of urban-buzz areas where creative class meet their social and cultural needs. This study suggests that, during this adaptation period to the changing model, precautions should be taken in the earlier stages for the city development. Finding alternative ways to cooperate with creative class should be developed to keep the urban buzz alive in terms of social and cultural activities
Using system dynamics to analyze the societal impacts of blockchain technology in milk supply chainsrefer
Get PDFThe integration of blockchain technologies in the food sector has significant social impacts. The objectives of this research are firstly, to map the milk supply chains to explore information flow among different members for higher traceability; secondly, to investigate the societal impacts of blockchain technology in a milk supply chain to build social sustainability. The systems theory in integration with system dynamics (SD) provides the necessary theoretical underpinning to this research. We collect data from an agricultural development cooperative founded to support dairy farmers in Turkey. This work evaluates the societal impacts of blockchain technology on farmers, the community and animals using parameters such as local embedding, rural development, decreasing food fraud, animal health and welfare, proximity to food markets, food security, educating and promoting people towards healthy eating, assisting food access and social acceptability for transparency. In the last 18 years, the cooperative has encouraged dairy farmers in the district to become partners with a resultant increase in milk production from 30 thousand tons in 2002 to 330 thousand tons in 2019. According to our findings, population growth of the country and adult population increases in the district, it is expected that by 2025 the number of partners will rise to approximately 2800. The increase in number of partners proves the network expansion. Furthermore, blockchain technology can be incorporated into the existing system so that transparent and end-to-end accurate tracking of the supply chain is made possible, while creating decentralized recording of transactions. Moreover, the critical traceability points of a milk supply chain are evaluated with the blockchain adoption. This will help achieve the sustainable development goals (SDGs) of providing safe food, promoting good health and better well-being for everyone
Junction area dependent performance of graphene/silicon based self-powered Schottky photodiodes
No full texthis work reports the impact of junction area on the device performance parameters of Graphene/n-Silicon (Gr/n-Si) based Schottky photodiodes. Herein, three batches of Gr/n-Si photodiode samples were produced based on various sized CVD grown monolayer graphene layers transferred on individual n-Si substrates. The fabricated devices exhibited strong Schottky diode character and had high spectral sensitivity at 905 nm peak wavelength. The optoelectronic measurements showed that the spectral response of Gr/n-Si Schottky photodiodes has a linear dependence on the active junction area. The sample with 20 mm2 junction area reached a spectral response of 0.76 AW−1, which is the highest value reported in the literature for self-powered Gr/n-Si Schottky photodiodes without the modification of graphene electrode. In contrast to their spectral responsivities, the response speed of the samples were found to be lowered as a function of the junction area. The experimental results demonstrated that the device performance of Gr/n-Si Schottky photodiodes can be modified simply by changing the size of the graphene electrode on n-Si without need of external doping of graphene layer or engineering Gr/n-Si interface. This study may serve towards the standardization of junction area for the development of high performance Gr/Si based optoelectronic devices such as solar cells and photodetectors operating in between the ultraviolet and near-infrared spectral region
Cooling channel effect on photovoltaic panel energy generation
Get PDFIt is a well-known fact that even though the electricity generation is higher when the solar radiation is high on a photovoltaic panel, its efficiency drops as its temperature increases. In this study, it is intended to achieve cooling effect using an air duct placed under a photovoltaic panel, thereby increase its efficiency. Hourly electricity generation, PV efficiency and cell temperature values over a year are calculated using annual temperature and radiation data by using MATLAB and PV Sol software. Maximum cell temperature for the uncooled case is determined as 57.91 °C on July 21st at 1p.m. as a result of hourly calculations. The incident solar radiation is 976 W/m2 when the panel reached its maximum temperature. The PV panel and cooling channel are modelled in ANSYS Fluent software and cooling effect was investigated for different air velocities and air-cooling channel geometries for the hour when maximum cell temperature is reached. Environmental analyses are also made. It is observed that with finned cooling channel, it is possible to cool PV temperature more than with the flat cooling channel. Cooling the PV panel from its maximum cell temperature to 39.82 °C with 5 m/s air velocity and 82 fins cooling channel is achieved and new PV panel efficiency is recorded as 18.92 %. Environmentally considerations show that the use of solar energy provides the reduction of coal and natural gas-based CO2 emissions as 15 and 8 tons, respectively
