189 research outputs found
An Intelligent Safety System for Human-Centered Semi-Autonomous Vehicles
Nowadays, automobile manufacturers make efforts to develop ways to make cars
fully safe. Monitoring driver's actions by computer vision techniques to detect
driving mistakes in real-time and then planning for autonomous driving to avoid
vehicle collisions is one of the most important issues that has been
investigated in the machine vision and Intelligent Transportation Systems
(ITS). The main goal of this study is to prevent accidents caused by fatigue,
drowsiness, and driver distraction. To avoid these incidents, this paper
proposes an integrated safety system that continuously monitors the driver's
attention and vehicle surroundings, and finally decides whether the actual
steering control status is safe or not. For this purpose, we equipped an
ordinary car called FARAZ with a vision system consisting of four mounted
cameras along with a universal car tool for communicating with surrounding
factory-installed sensors and other car systems, and sending commands to
actuators. The proposed system leverages a scene understanding pipeline using
deep convolutional encoder-decoder networks and a driver state detection
pipeline. We have been identifying and assessing domestic capabilities for the
development of technologies specifically of the ordinary vehicles in order to
manufacture smart cars and eke providing an intelligent system to increase
safety and to assist the driver in various conditions/situations.Comment: 15 pages and 5 figures, Submitted to the international conference on
Contemporary issues in Data Science (CiDaS 2019), Learn more about this
project at https://iasbs.ac.ir/~ansari/fara
Development of High Technologies as an Indicator of Modern Industry in the Eu
The article tries to classify the EU states in terms of the advancement of structural changes in their industries on the basis of the increase in the share of advanced technologies in total industrial production, labour, added value, and surplus. In the times of the knowledge-based economy the ability to produce high-tech goods, the demand for which is growing much faster than for traditional goods, indicates the level of modernity of industry. The dynamic growth of the demand for knowledge-based high-tech goods results from the evolution of consumer habits, which are predominantly driven by educated and rich societies who demand that their sophisticated needs met. An important role in stimulating this demand is played by modern media as they instantly deliver information on the latest technical developments and are very efficient in transferring patterns of consumerism. The ability to adapt the structure of production to the needs of the market is crucial in defining a state's position in the international exchange of goods. This is due to the fact that the national technology is tightly interwoven with export abilities
Using markers and field evaluation to identify the source of eyespot resistance gene Pch1 in the collection of wheat breeding lines
Pch1 gene translocated from Aegilops ventricosa provides effective resistance to eyespot in wheat. To track the Pch1 gene introgression, we investigated 372 genotypes obtained from various breeding programs using endopeptidase EpD1b marker, sequence-tagged-site (STS) marker XustSSR2001-7DL, and the score of infection index (K-index) evaluated after in vivo inoculation test. These genotypes were divided into three groups with 136, 124 and 112 genotypes for the field test lasting three years. In 2011, the mean K-index was 0.81, while 2012 and 2013 the mean K-indexes were 1.60 and 1.46, respectively. Both marker results indicated that 18 genotypes possessed Pch1 gene. Statistical analysis of the level of K-index showed that these 18 genotypes were resistant to eyespot, which verified the proper assignment of wheat genotypes with Pch1 gene based on the marker data. Thus, the endopeptidase and XustSSR2001-7DL are useful for identifying sources of eyespot resistance gene Pch1 in wheat breeding program
Phytosulfokine stimulates cell divisions in sugar beet (Beta vulgaris L.) mesophyll protoplast cultures
The aim of this work was to improve plating efficiency of sugar beet mesophyll protoplast cultures. Preliminary experiments showed that cultures of good quality, viable protoplasts were obtained in rich media based on the Kao and Michayluk formulation and with the calcium alginate as an embedding matrix. Nevertheless, in these cultures cell divisions were either not observed or very seldom confirming earlier reported recalcitrance of sugar beet protoplasts. The recalcitrant status of these cultures was reversed upon application of exogenous phytosulfokine (PSK)—a peptidyl plant growth factor. The highest effectiveness of PSK was observed at 100 nM concentration. Plating efficiencies obtained in the presence of PSK reached approximately 20% of the total cultured cells. The stimulatory effect of phytosulfokine was observed for all tested breeding stocks of sugar beet. Our data indicate that PSK is a powerful agent able to overcome recalcitrance of plant protoplast cultures
Polymorphisms in RAD51, XRCC2 and XRCC3 genes of the homologous recombination repair in colorectal cancer—a case control study
XRCC2 and XRCC3 proteins are structurally and functionally related to RAD51 which play an important role in the homologous recombination, the process frequently involved in cancer transformation. In our previous work we show that the 135G>C polymorphism (rs1801320) of the RAD51 gene can modify the effect of the Thr241Met polymorphism (rs861539) of the XRCC3 gene. We tested the association between the 135G>C polymorphism of the RAD51 gene, the Thr241Met polymorphism of the XRCC3 gene and the Arg188His polymorphism (rs3218536) of the XRCC2 gene and colorectal cancer risk and clinicopathological parameters. Polymorphisms were evaluated by restriction fragment length polymorphism polymerase chain reaction (RFLP-PCR) in 100 patients with invasive adenocarcinoma of the colon and in 100 sex, age and ethnicity matched cancer–free controls. We stratified the patients by genotypes, tumour Duke’s and TNM stage and calculated the linkage of each genotype with each stratum. Carriers of Arg188Arg/Me241tMet, His188His/Thr241Thr and His188His/G135G genotypes had an increased risk of colorectal cancer occurrence (OR 5.70, 95% CI 1.10–29.5; OR 12.4, 95% CI 1.63–94.9; OR 5.88, 95% CI 1.21–28.5, respectively). The C135C genotype decreased the risk of colorectal cancer singly (OR 0.06, 95% CI 0.02–0.22) as well as in combination with other two polymorphisms. TNM and Duke’s staging were not related to any of these polymorphisms. Our results suggest that the 135G>C polymorphism of the RAD51 gene can be an independent marker of colorectal cancer risk. The Thr241Met polymorphism of the XRCC3 gene and the Arg188His polymorphism of the XRCC2 gene can modify the risk of colorectal cancer
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