Efficient hardware implementations of low bit depth motion estimation algorithms

In this paper, we present efficient hardware implementation of multiplication free one-bit transform (MF1BT) based and constraint one-bit transform (C-1BT) based motion estimation (ME) algorithms, in order to provide low bit-depth representation based full search block ME hardware for real-time video encoding. We used a source pixel based linear array (SPBLA) hardware architecture for low bit depth ME for the first time in the literature. The proposed SPBLA based implementation results in a genuine data flow scheme which significantly reduces the number of data reads from the current block memory, which in turn reduces the power consumption by at least 50% compared to conventional 1BT based ME hardware architecture presented in the literature. Because of the binary nature of low bit-depth ME algorithms, their hardware architectures are more efficient than existing 8 bits/pixel representation based ME architectures

Growth of thin graphene layers on stacked SiC surface in ultra high vacuum

We demonstrate a technique to produce thin graphene layers on C-face of SiC under ultra high vacuum conditions. A stack of two SiC substrates comprising a half open cavity at the interface is used to partially confine the depleted Si atoms from the sample surface during the growth. We observe that this configuration significantly slows the graphene growth to easily controllable rates on C-face SiC in UHV environment. Results of low-energy electron diffractometry and Raman spectroscopy measurements on the samples grown with stacking configuration are compared to those of the samples grown by using bare UHV sublimation process

Does Providing Clinical Care for Trauma Patients have a Positive Effect on Physicians’ Perspective on Child Passenger Safety?

Introduction: Motor vehicle crashes are the most common cause of the mortality in the pediatric population. Preventive strategies are the best approach to reduce mortality and morbidity due to motor vehicle crashes. Since parents mostly refer to them for guidance, doctors should have a high level of knowledge and awareness to increase the usage of car safety seats. We thought that providing care for trauma patients could have a positive effect on the physicians’ awareness and knowledge level. Based on this, we aimed to assess the awareness and knowledge of pediatricians and emergency physicians and trauma doctors. Methods: An electronic survey consisting of 23 questions was prepared. Demographic features, awareness and knowledge level of the physicians were assessed on three sections. Five suggestions in the guideline of the American Academy of Pediatrics were used to assess physicians’ knowledge level. The respondents were grouped as those providing clinical care for trauma patients and those do not. Results: The questionnaires were sent to 641 physicians and 323 who completed the questionnaire were included in the study. One hundred and fourteen (35.3%) of the respondents were providing clinical care for trauma patients. One hundred ninety (59.2%) respondents had children. Majority of the physicians had a satisfactory level of knowledge about car safety seat (CSS). The number of respondents reported having adequate self-awareness was found statistically significantly higher in the groups of doctors who have children and provide clinical care for trauma patients (p0.05). Interestingly, the knowledge level in physicians who had children was statistically significantly lower than in those with no children (p<0.01). Conclusion: Our survey revealed that physicians who provide clinical care for trauma patients think they have a high level of knowledge about CSS. Unfortunately, their knowledge level was low as other physicians in the study group

Private information inference of households from electricity consumption data

The spread of smart home technologies not only brings convenience but also creates various security and privacy concerns among users. Electricity consumption data collected by smart meters is one of the sources of these concerns. The electricity consumption of the appliances working at home made it possible to have information about the private life of the household. This study is aimed to reveal a classification model by using the electricity consumption data obtained as a result of the study conducted in Ireland and the results of the survey study conducted with the households. While the first method in the study aims to access information about private life directly with electricity consumption data, the second method uses the predictions of one private information to improve the results of the prediction of another related information. As a result, it has been concluded that electricity consumption data can be used in the process of obtaining information about private life, and that the use of relationship between two information leads to an improvement in model performance. This study shows one of the obstacles that may occur in the spread of smart houses and has prepared the environment for studies that can be done on the subject of solution

Control of the graphene growth rate on capped SiC surface under strong Si confinement

The effect of the degree of Si confinement on the thickness and morphology of UHV grown epitaxial graphene on (0 0 0 −1) SiC is investigated by using atomic force microscopy and Raman spectroscopy measurements. Prior to the graphene growth process, the C-face surface of a SiC substrate is capped by another SiC comprising three cavities on its Si-rich surface with depths varying from 0.5 to 2 microns. The Si atoms, thermally decomposed from the sample surface during high temperature annealing of the SiCcap/SiCsample stack, are separately trapped inside these individual cavities at the sample/cap interface. Our analyses show that the growth rate linearly increases with the cavity height. It was also found that stronger Si confinement yields more uniform graphene layers

Improving shear capacity and ductility of shear-deficient RC beams using CFRP strips

WOS: 000282429100007The results of an experimental investigation are presented in this article for improving the shear capacity and ductility of reinforced concrete beams by using CFRP strips. The purpose of this study is to obtain ductile flexural behavior for shear-deficient reinforced concrete beams. The experimental program consisted of 10 T cross-sectioned half scale simply supported beam specimens, seven of which were constructed with deficient shear reinforcement and the remaining three without any shear reinforcement. One beam was used as a reference and nine beams were strengthened using U-shaped CFRP strips with or without fan type anchorage. Three different CFRP strip spacing such as s(f) = 125 mm, 150 mm, and 200 mm were used. The effect of anchorages that were used at the ends of the strips on shear strength and behavior of the strengthened specimens was investigated. CFRP strips without anchorages improved the shear strength, but no flexural behavior was observed. specimens failed with brittle shear failure due to peeling of CFRP strip from RC beam surfaces. specimens with deficient shear reinforcement that were strengthened with anchored CFRP strips showed improved shear strength and ductile flexural behavior was observed. Similar behaviors were observed for specimens even without any shear reinforcement. When the CFRP strip strains of the specimens with anchorages and without anchorages were compared, maximum strains at anchored strips were approximately 56% larger than that of without anchorages.Gazi University [AFP-06/2008-04]This study was sponsored by the Gazi University (AFP-06/2008-04), and conducted at the Structural Mechanics Laboratory of the same university. The authors appreciate the financial support given by the Gazi University