http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Study of the density of horns from cervids
Yury Evgenjevich Vashukevich,Elena Valirievna Vashukevich,Gottlieb Polzer,Liza Polzer,Svetlana Viktorovna Shvetsova,Victoria Mikhailovna Khantakova 국립생물자원관 2015 Journal of species research Vol.4 No.1
The article is devoted to the study of the density dependence of the horns tissue on the species and the age of the representatives of the deer family. In scientific literature this problem was covered partially. Basic physical parameters (mass, volume, and density) of horns from red deer (Cervus elaphus), fallow deer (Dama dama), European (Capreolus capreolus) and Siberian roe deer (Capreolus pygargus) were estimated. The present study was designed to analyze the results for making identification of species and age of the animal possible.
Yury Melnikov,성진석,윤익중 한양대학교 아태지역연구센터 2022 중소연구 Vol.46 No.3
The purpose of this paper is to analyze the potential of low-carbon industry in Russia. At the same time, we also examined how unfolding global energy transition and rapidly changing energy market situations influence on prospects for low-carbon industry in the country. Russia has a long history of hydrogen industry and the potential to become one of the top hydrogen producers and exporter in the world. Hydrogen can also be useful for the newly developing low-carbon industry in Russia together with renewable sources of energy. The global energy transition has created opportunities and motivations for Russia to develop low-carbon energy systems, including hydrogen. It can use widely distributed natural resources in the country. Russia can produce low-carbon hydrogen base on renewable energy sources and also natural gas in combination with carbon capture and storage. However, in the aftermath of the Ukrainian crisis that broke out in February 2022, radically changing market environment in Europe and relations with European partners, Russia also faces challenges of overhauling its short-, mid- and long-term energy strategies, including hydrogen, renewable sources of energy, and climate policies . Now, Russia must focus more on the development of domestic market, redirecting trade flows away from its major European market and strengthen trades with so-called “friendly countries” and partnerships with them. The military conflicts in Ukraine have created additional insurmountable obstacles to efforts to achieve this goal. This paper concludes that the key barriers to the development of low-carbon industry in Russia are difficulties in finding markets for hydrogen exports, and the lack of incentives to apply low-carbon technologies. It is partly resulted by unambitious climate policy goals, high costs of renewable sources of energy and the lack of domestic technologies. In addition, the energy transition process and climate issues in Russia face serious challenges, even though the country has the large potential to develop low-carbon energy sectors. The current situation also suggests that it is necessary to overhaul energy strategies including green industry in the aftermath of deteriorating relations with key Western partners and the economic sanctions on Russia.
Catalytic combustion of sulfur-containing liquid fuels in the fluidized bed: Experiment and modeling
Yury V. Dubinin,Nikolay A. Yazykov,Sergei I. Reshetnikov,Vadim A. Yakovlev 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.93 No.-
Environmentally safe fuel combustion is an actual worldwide problem. The alternative technology ofcombustion influidized bed of catalyst was developed in the Boreskov Institute of Catalysis. Thetechnology allows one to conduct the process at 400–700 oC and significantly reduce outletconcentrations of toxic compounds. However, the use of sulfur oils as fuel demands solving a problemof the decreasing the outlet SO2 concentration because the oils contain small amount of ash to absorbSO2. The work is devoted to study features of sulfur light oil and high-sulfur heavy oil combustion in thefluidized bed of the Al–Cu–Cr-oxide catalyst. Reduction of SO2 emission at conserving oxidation degree ofoils within range of 99.5–99.8% might be reached by using a non-isothermal temperature profile in thereactor as well as a use of CaCO3 or CaO at Ca/S > 2 to absorb sulfur oxides. The non-isothermaltemperature profile in the reactor consisted of an oxidation zone with the temperature in thefluidizedbed of 700 oC and a catalytic oxidation of SO2 to SO3 zone with equilibrium shift to reducing SO2concentration because of the temperature change from 700 oC to 585 oC.
On Conditions of Phytoplankton Blooms in the Coastal Waters of the North-Western East/Japan Sea
Yury Zuenko,Marina Selina,Inna Stonik 한국해양과학기술원 2006 Ocean science journal Vol.41 No.1
changes of abundance of the main phytoplankton groups of species (diatoms, dinoflagellates, chrysophytes, small flagellates and cryptophytes) and a set of environmental parameters were investigated in coastal and pre-estuarine waters of Peter the Great Bay (East/Japan Sea) in May-October of 1998 and 1999. Three periods of mass development were revealed: spring, summer and autumn blooms, with successive change of species. The conditions favourable for each group of species were determined. Driving mechanisms of the succession include nutrients transport through seasonal pycnocline by turbulent mixing, terrestrial nutrients supply by monsoon floods, nutrients supply by upwellings, and light control by the thickness of upper mixed layer. Summer succession could be explained by a simple SST-MLD diagram similar to Pingree S-kh diagram with sea surface temperature as indicator of stratification (S) and mixed layer depth as indicator of light availability (kh).
Monocular Supervised Metric Distance Estimation for Autonomous Driving Applications
Yury A. Davydov,Wen-Hui Chen,Yu-Chen Lin 제어로봇시스템학회 2022 제어로봇시스템학회 국제학술대회 논문집 Vol.2022 No.11
The task of monocular distance estimation is a major area of research in the computer vision field. Especially relevant this task is to the autonomous driving applications, where robustness and accuracy of the distance estimation significantly affect driving safety. In this paper we propose a simple, fast and efficient deep learning model capable of extracting distance information for a detected object from monocular images. The model is trained and tested on the KITTI benchmark and compared to the Monodepth2 model. The conducted experiments show that the proposed convolutional neural network architecture outperforms Monodepth2 by 11% on average according to the weighted average mean absolute error.
On Conditions of Phytoplankton Blooms in the Coastal Waters of the North-Western East/Japan Sea
Zuenko, Yury,Selina, Marina,Stonik, Inna The Korean Society of Oceanography 2006 Ocean science journal Vol.41 No.1
Seasonal changes of abundance of the main phytoplankton groups of species (diatoms, dinoflagellates, chrysophytes, small flagellates and cryptophytes) and a set of environmental parameters were investigated in coastal and pre-estuarine waters of Peter the Great Bay (East/Japan Sea) in May-October of 1998 and 1999. Three periods of mass development were revealed: spring, summer and autumn blooms, with successive change of species. The conditions favourable for each group of species were determined. Driving mechanisms of the succession include nutrients transport through seasonal pycnocline by turbulent mixing, terrestrial nutrients supply by monsoon floods, nutrients supply by upwellings, and light control by the thickness of upper mixed layer. Summer succession could be explained by a simple SST-MLD diagram similar to Pingree S-kh diagram with sea surface temperature as indicator of stratification (S) and mixed layer depth as indicator of light availability (kh).