38 research outputs found
YENİ MUHAFAZAKAR GENÇLİĞİN TÜKETİM ALIŞKANLIKLARI
No full textÖz: Bu çalışma,
muhafazakarlık kavramının toplumsal değişim sürecinde değişerek literatürdeki
adıyla “yeni muhafazakar” ideolojiye nasıl dönüştüğünü, bu değişimin toplumsal
yaşamdaki yansımalarını, günümüz tüketim dünyanının değerleriyle ve üniversite
gençlerinin bakış açılarından ele almaktadır. Çalışmada, İzmir’deki üniversite
gençliğinin, söz konusu değişimle ilgili gündelik yaşamlarına dair bulgular
tespit edilmeye çalışılarak, yeni muhafazakar ideolojinin yeni teknolojiyle ve
özellikle de tüketim kültürüyle bütünleşmiş olduğu iddası öne sürülmektedir.
Küreselleşen dünyada yaşanan toplumsal değişimi en yoğun ve hızlı yaşayanlar
üniversite gençleridir. Yeni muhafazakar ideolojinin kendine has bir kültür
oluşturduğu ve bu kültürün üniversite öğrencilerinin gündelik yaşam
pratiklerinde ve tüketim alışkanlıklarında kendini gösterdiği ortaya
çıkmaktadır. Bu çalışma gençliğin Türkiye’deki görünümünü, tüm dünyada son
yıllarda yaygın olan yeni muhafazakarlık çerçevesinde, tüketim dünyasının
gözünden açıklamak üzere gerçekleştirilmiştir. Bu amaçla, İzmir’deki vakıf ve
devlet ünversitelerinden öğrenci birliği temsilcilerinden oluşan 68 kişi ile derinlemesine
görüşmeler gerçekleştirilmiş ve elde edilen cevaplar ışığında tüketim
alışkanlıklarına dair genel bir çerçeve oluşturulmaya çalışılmıştır. Anahtar
Kelimeler: yeni muhafazakarlık,
gençlik kültürü, tüketim kültürü Jel Kodları: M0, M3, M
The effects of frequency, polarization, direction and metallic objects on the SAR values in a human head model for plane wave exposure (500-2500 MHZ)
No full textThis paper presents the effects of different radiation characteristics on the Specific Absorption Rate (SAR) values induced within a 2mm resolution, anatomically detailed, realistic model of human head by including a metallic spectacle frame and metallic tooth caps. The head is illuminated by a plane wave source with seven different frequencies from 500MHz to 2500MHz, with five different incident directions and three polarizations. The electromagnetic (EM) fields are computed using the Finite-Difference-Time-Domain (FDTD) method. The calculated local SAR values are averaged over 1 g and 10g tissues as proposed by IEEE standards. It is shown that, the existence of a metallic spectacle frame causes an increase in the SAR values. However, the results indicate that, metallic tooth caps have negligible influence on the SAR values
SAR CHANGES IN A HUMAN HEAD MODEL FOR PLANE WAVE EXPOSURE (500-2500 MHZ) AND A COMPARISON WITH IEEE 2005 SAFETY LIMITS
No full textIn this paper, external electric field values that are derived from the largest peak average 10 g SAR (Specific Absorption Rate) results in a realistic human head model are compared with current IEEE and ICNIRP reference levels. The head is illuminated by a plane wave source at seven different frequencies ranging from 500 MHz to 2500 MHz, with five different incident directions and three polarizations. Results reveal that the presence of metallic wire spectacles reduces the external electric field levels in the region above 900 MHz. Comparison of derived electric field values shows that the current IEEE and ICNIRP safety limits provide a conservative estimate
The Effects of Frequency, Polarization, Direction and Metallic Objects on the SAR Values in a Human Head Model for Plane Wave Exposure (500-2500 MHZ)
No full text
An analysis of some labor problems of individual workers under a free economy, 1900-1950, 1963
No full textUHF-RFID enabled wearable flexible printed sensor with antenna performance
No full textMany different parameters affect the antenna performance of the wearable sensors. In this study, antenna per-formances of textile based sensors which have different pass numbers from 1 to 5 printed using conductive ink with pad printing method were investigated. Moreover, the effect of sintering process after printing on the RF antenna performances of wearable sensors was examined. For this, antenna impedances, and reflection co-efficients of the sintered, and non-sintered printed sensors were measured using a vector network analyzer. While the frequency at the collapse point of the reflection coefficient graph of the sensors without sintering and with different pass numbers was 254 MHz, the collapse point of the reflection coefficient graph of the sensors was 943 MHz after sintering. The measurements indicate that the sintering process has a significant effect on the antenna performances of wearable sensors, and it is concluded that the sintered printed wearable sensor samples enable data transmission wirelessly in short range. In addition, bending, and gain measurements was applied to wearable sensor which has the best performance according to the impedance measurement results. Thus, these UHF-RFID enabled wearable sensors with antenna performance might be good option to form a network of passive interactive sensor architecture for RFID and wearable technologies. In addition, considering the designed wearable sensor structure, it is foreseen that the potential usage areas of this structure may be moisture sensitive areas (such as supply chains and transportation of moisture-sensitive products)
Joint Deep Learning for Simultaneous Clutter Removal and Buried Object Detection in GPR
No full textGround Penetrating Radar (GPR) data presents a challenging problem for detecting subsurface targets due to surface reflections and the complex clutter caused by heterogeneous soil structures. While traditional methods treat clutter removal and target detection as separate processes, this study presents an integrated deep learning approach that simultaneously optimizes both tasks. In the first phase of the study, the first proposed model, Dec-YOLO (Model I), demonstrated that “joint training” of clutter removal networks (UNet, CR-Net, DC-ViT) from the literature with a detection network improves detection performance compared to sequential methods. Building on this finding, the second phase proposes the original RAFDeC-YOLO (Model II) architecture. This architecture features a specialized clutter removal block (decoder) that branches off from the standard YOLOv12 backbone. The fundamental innovation of this branch is that it feeds back the cleaned and enriched feature maps it produces to the relevant neck layers of the YOLO architecture via the proposed Residual Adapter Fusion mechanism. This strategic feature transfer maximizes discriminative power, particularly in challenging scenarios such as weak dielectric targets and asphalt-covered surfaces, by enabling the detection network to access both raw data and cleaned spatial details. The experimental results demonstrate that the proposed framework outperforms state-of-the-art methods, achieving improvements of over 25.8% on hybrid datasets and up to 87.5% on challenging real-world scenarios, while reducing computational complexity by approximately 43%, which is a crucial factor for real-time applications
