1,536,132 research outputs found
Minuteman 2 launched small satellite
The goal of LEOSat Industries' Spring 1994 project was to design a small satellite that has a strong technology demonstration or scientific justification and incorporates a high level of student involvement. The satellite is to be launched into low earth orbit by the converted Minuteman 2 satellite launcher designed by Minotaur Designs, Inc. in 1993. The launch vehicle shroud was modified to a height of 90 inches, a diameter of 48 inches at the bottom and 35 inches at the top for a total volume of 85 cubic feet. The maximum allowable mass of the payload is about 1100 lb., depending on the launch site, orbit altitude, and inclination. The satellite designed by LEOSat Industries is TerraSat, a remote-sensing satellite that will provide information for use in space-based earth studies. It will consist of infrared and ultraviolet/visible sensors similar to the SDI-developed sensors being tested on Clementine. The sensors will be mounted on the Defense Systems, Inc. Standard Satellite-1 spacecraft bus. LEOSat has planned for two satellites orbiting the Earth with trajectories similar to that of LANDSAT 5. The semi-major axis is 7080 kilometers, the eccentricity is 0, and the inclination is 98.2 degrees. The estimated mass of TerraSat is 145 kilograms and the estimated volume is 1.8 cubic meters. The estimated cost of TerraSat is $13.7 million. The projected length of time from assembly of the sensors to launch of the spacecraft is 13 months
KM Maturity Factors Affecting High Performance in Universities
This paper aims to measure Knowledge Management Maturity (KMM) in the universities to determine the impact of knowledge
management on high performance. This study was applied on Al-Quds Open University in Gaza strip, Palestine. Asian
productivity organization model was applied to measure KMM. Second dimension which assess high performance was
developed by the authors. The controlled sample was (306). Several statistical tools were used for data analysis and hypotheses
testing, including reliability Correlation using Cronbachâs alpha, âANOVAâ, Simple Linear Regression and Step Wise
Regression.The overall findings of the current study suggest that KMM is suitable for measuring high performance. KMM
assessment shows that maturity level is in level three. Findings also support the main hypothesis and it is sub- hypotheses. The
most important factors effecting high performance are: Processes, KM leadership, People, KM Outcomes and Learning and
Innovation. Furthermore the current study is unique by the virtue of its nature, scope and way of implied investigation, as it is
the first comparative study in the universities of Palestine explores the status of KMM using the Asian productivity Model
The Role of Technology in Music Education: a Survey of Computer Usage in Teaching Music in Colleges of Education in The Volta Region, Ghana
The study sought to find out the role of computer technology in music education in Colleges of Education in the Volta Region of Ghana. It aimed at surveying the use of computer technology for teaching music and exploring the instructional prospects for computer technology usage in music in Colleges of Education. The study employed Rogersâ Diffusion Innovation theory and descriptive survey research method. Data was
collected from the respondents using questionnaire, interview, and observation. The study revealed that even though about 90% of the music tutors have good academic qualification and over five years teaching experience, lack of competence in handling computer technology in teaching music among some music tutors and incoherent ICT initiatives hindered proper application of computer technology in the field of music
education. It is however envisaged that increasing access and coherent computer technology initiatives will be paramount for the teaching of music in the Colleges of Education
Application features of the surface laser scanning technology when solving the main tasks of surveying support for reclamation
Purpose. Study of the effectiveness of topographical survey methods when solving the main tasks of surveying support for the disturbed lands reclamation.
Methods. Comparative analysis of the topographical survey results, which was conducted with the use of electronic total station and a surface laser scanner during reclamation. The heap leaching dump at the Belaya Gorka Site of the Rodnikovoye Field has been chosen as an object for topographical survey. To compare adequately, the electronic total station and the laser scanner were chosen of the same accuracy class. The determination of the values accuracy of the area and volume of an object during a tacheometric survey depends on the discreteness of surveying pickets. In practice, the density of the picketsâ arrangement is limited by the working capacity of the surveying crew, which, as a rule, is several hundred pickets per day, and the density is two or three survey points per 100 m2 of the object. To determine the dependence of measurement accuracy on the picketsâ density during the tacheometric survey, it was carried out at four different scales, with the distance between the pickets from 5 to 25 meters. The density of points (pickets) of a surface laser scanner, which was used in the studies, is 500 points per 100 m2 of survey area.
Findings. Based on the results of the tacheometric survey and surface laser scanning of the heap leaching dump, two variants of the topographic maps of the surface and its smoothed digital model have been obtained. Detailed surface laser scanning at an increased level in comparison with a tacheometric survey improves the topographic map accuracy. Improved accuracy when determining the volume on a survey scale of 1:500 â 1:2000 is 12%.
Originality. A new concept for topographical surveying is proposed when solving the surveying problems of reclaiming the disturbed lands, based on the methods of surface laser scanning.
Practical implications. Use of the surface laser scanning technology makes possible to obtain the prompt three-dimensional visualization of the surveyed area, to ensure high accuracy and degree of detailed survey, to increase the working capacity and field surveying conditions, to solve the main tasks of surveying support of the disturbed lands reclamation in the shortest possible time and with the required surveying quality.ĐĐ”ŃĐ°. ĐĐŸŃĐ»ŃĐŽĐ¶Đ”ĐœĐœŃ Đ”ŃĐ”ĐșŃĐžĐČĐœĐŸŃŃŃ ĐŒĐ”ŃĐŸĐŽŃĐČ ŃĐŸĐżĐŸĐłŃĐ°ŃŃŃĐœĐŸŃÌ Đ·ĐžÌĐŸĐŒĐșĐž ĐżŃĐž ĐČĐžŃŃŃĐ”ĐœĐœŃ ĐŸŃĐœĐŸĐČĐœĐžŃ
Đ·Đ°ĐČĐŽĐ°ĐœŃ ĐŒĐ°ŃĐșŃДОÌĐŽĐ”ŃŃŃĐșĐŸĐłĐŸ забДзпДŃĐ”ĐœĐœŃ ŃĐ”ĐșŃĐ»ŃŃĐžĐČĐ°ŃŃŃÌ ĐżĐŸŃŃŃĐ”ĐœĐžŃ
Đ·Đ”ĐŒĐ”Đ»Ń.
ĐĐ”ŃĐŸĐŽĐžĐșĐ°. ĐĐŸŃŃĐČĐœŃĐ»ŃĐœĐžĐžÌ Đ°ĐœĐ°Đ»ŃĐ· ŃДзŃĐ»ŃŃĐ°ŃŃĐČ ŃĐŸĐżĐŸĐłŃĐ°ŃŃŃĐœĐŸŃÌ Đ·ĐžÌĐŸĐŒĐșĐž, ĐżŃĐŸĐČĐ”ĐŽĐ”ĐœĐžŃ
ŃĐ· ĐČĐžĐșĐŸŃĐžŃŃĐ°ĐœĐœŃĐŒ ДлДĐșŃŃĐŸĐœĐœĐŸĐłĐŸ ŃĐ°Ń
Đ”ĐŸĐŒĐ”ŃŃĐ° ŃĐ° ĐœĐ°Đ·Đ”ĐŒĐœĐŸĐłĐŸ лазДŃĐœĐŸĐłĐŸ ŃĐșĐ°ĐœĐ”ŃĐ° ĐżŃĐž ŃĐ”ĐșŃĐ»ŃŃĐžĐČĐ°ŃŃŃÌ. ĐбâŃĐșŃĐŸĐŒ ŃĐŸĐżĐŸĐłŃĐ°ŃŃŃĐœĐŸŃÌ Đ·ĐžÌĐŸĐŒĐșĐž ĐŸĐ±ŃĐ°ĐœĐžĐžÌ ĐČŃĐŽĐČĐ°Đ» ĐșŃĐżŃĐ°ŃŃĐŸĐłĐŸ ĐČОлŃĐłĐŸĐČŃĐČĐ°ĐœĐœŃ ĐŽŃĐ»ŃĐœĐșĐž ĐŃла ĐŃŃĐșĐ° ŃĐŸĐŽĐŸĐČĐžŃĐ° Đ ĐŸĐŽĐœĐžĐșĐŸĐČĐ”. ĐĐ»Ń ĐșĐŸŃĐ”ĐșŃĐœĐŸŃŃŃ ĐżĐŸŃŃĐČĐœŃĐœĐœŃ, ДлДĐșŃŃĐŸĐœĐœĐžĐžÌ ŃĐ°Ń
Đ”ĐŸĐŒĐ”ŃŃ Ń Đ»Đ°Đ·Đ”ŃĐœĐžĐžÌ ŃĐșĐ°ĐœĐ”Ń ĐŸĐ±ŃĐ°ĐœŃ ĐŸĐŽĐœĐŸĐłĐŸ ĐșлаŃŃ ŃĐŸŃĐœĐŸŃŃŃ. ĐĐžĐ·ĐœĐ°ŃĐ”ĐœĐœŃ ŃĐŸŃĐœĐŸŃŃŃ Đ·ĐœĐ°ŃĐ”ĐœĐœŃ ĐżĐ»ĐŸŃŃ ŃĐ° ĐŸĐ±âŃĐŒŃ ĐŸĐ±âŃĐșŃĐ° ĐżŃĐž ŃĐ°Ń
Đ”ĐŸĐŒĐ”ŃŃĐžŃĐœŃĐžÌ Đ·ĐžÌĐŸĐŒŃŃ Đ·Đ°Đ»Đ”Đ¶ĐžŃŃ ĐČŃĐŽ ĐŽĐžŃĐșŃĐ”ŃĐœĐŸŃŃŃ Đ·ĐœŃĐŒĐ°Đ»ŃĐœĐžŃ
ĐżŃĐșĐ”ŃŃĐČ. ĐĐ° ĐżŃĐ°ĐșŃĐžŃŃ ŃŃĐ»ŃĐœŃŃŃŃ ŃĐŸĐ·ĐŒŃŃĐ”ĐœĐœŃ ĐżŃĐșĐ”ŃŃĐČ ĐŸĐ±ĐŒĐ”Đ¶Đ”ĐœĐ° ĐżŃĐŸĐŽŃĐșŃĐžĐČĐœŃŃŃŃ Đ·ĐœŃĐŒĐ°Đ»ŃĐœĐŸŃÌ Đ±ŃОгаЎО, ŃĐșĐ°, ŃĐș ĐżŃĐ°ĐČĐžĐ»ĐŸ, ŃŃĐ°ĐœĐŸĐČĐžŃŃ ĐșŃĐ»ŃĐșĐ° ŃĐŸŃĐ”ĐœŃ ĐżŃĐșĐ”ŃŃĐČ Ń ĐŽĐ”ĐœŃ, ĐżŃĐž ŃŃĐŸĐŒŃ ŃŃĐ»ŃĐœŃŃŃŃ ŃŃĐ°ĐœĐŸĐČĐžŃŃ ĐŽĐČŃ Đ°Đ±ĐŸ ŃŃĐž Đ·ĐœŃĐŒĐ°Đ»ŃĐœŃ ŃĐŸŃĐșĐž ĐœĐ° 100 ĐŒ2 ĐżĐ»ĐŸŃŃ ĐŸĐ±âŃĐșŃĐ°. ĐĐ»Ń ĐČĐžĐ·ĐœĐ°ŃĐ”ĐœĐœŃ Đ·Đ°Đ»Đ”Đ¶ĐœĐŸŃŃŃ ŃĐŸŃĐœĐŸŃŃŃ ĐČĐžĐŒŃŃŃĐČĐ°ĐœĐœŃ ĐżŃĐž ŃĐ°Ń
Đ”ĐŸĐŒĐ”ŃŃĐžŃĐœŃĐžÌ Đ·ĐžÌĐŸĐŒŃŃ ĐČŃĐŽ ŃŃĐ»ŃĐœĐŸŃŃŃ ĐżŃĐșĐ”ŃŃĐČ, ĐČĐŸĐœĐ° ĐżŃĐŸĐČĐŸĐŽĐžĐ»Đ°ŃŃ Ń ŃĐŸŃĐžŃŃĐŸŃ
ŃŃĐ·ĐœĐžŃ
ĐŒĐ°ŃŃŃабаŃ
, Đ· ĐČŃĐŽŃŃĐ°ĐœĐœŃ ĐŒŃж ĐżŃĐșĐ”ŃĐ°ĐŒĐž ĐČŃĐŽ 5 ĐŽĐŸ 25 ĐŒĐ”ŃŃŃĐČ. Đ©ŃĐ»ŃĐœŃŃŃŃ ŃĐŸŃĐŸĐș (ĐżŃĐșĐ”ŃŃĐČ) ĐœĐ°Đ·Đ”ĐŒĐœĐŸĐłĐŸ лазДŃĐœĐŸĐłĐŸ ŃĐșĐ°ĐœĐ”ŃĐ°, ĐČĐžĐșĐŸŃĐžŃŃĐ°ĐœĐŸĐłĐŸ ĐČ ĐŽĐŸŃĐ»ŃĐŽĐ¶Đ”ĐœĐœŃŃ
, ŃŃĐ°ĐœĐŸĐČĐžŃŃ 500 ŃĐŸŃĐŸĐș ĐœĐ° 100 ĐŒ2 ĐżĐ»ĐŸŃŃ Đ·ĐžÌĐŸĐŒĐșĐž.
РДзŃĐ»ŃŃĐ°ŃĐž. ĐĐ° ŃДзŃĐ»ŃŃĐ°ŃĐ°ĐŒĐž ŃĐ°Ń
Đ”ĐŸĐŒĐ”ŃŃĐžŃĐœĐŸŃÌ Đ·ĐžÌĐŸĐŒĐșĐž Ń ĐœĐ°Đ·Đ”ĐŒĐœĐŸĐłĐŸ лазДŃĐœĐŸĐłĐŸ ŃĐșĐ°ĐœŃĐČĐ°ĐœĐœŃ ĐČŃĐŽĐČĐ°Đ»Ń ĐșŃĐżŃĐ°ŃŃĐŸĐłĐŸ ĐČОлŃĐłĐŸĐČŃĐČĐ°ĐœĐœŃ ĐŸŃŃĐžĐŒĐ°ĐœŃ ĐŽĐČĐ° ĐČĐ°ŃŃĐ°ĐœŃĐž ĐżĐ»Đ°ĐœŃĐČ ŃĐŸĐżĐŸĐłŃĐ°ŃŃŃĐœĐŸŃÌ ĐżĐŸĐČĐ”ŃŃ
ĐœŃ Ń Đ·ĐłĐ»Đ°ĐŽĐ¶Đ”ĐœĐ° ŃÌŃÌ ŃĐžŃŃĐŸĐČĐ° ĐŒĐŸĐŽĐ”Đ»Ń. ĐŃĐŽĐČĐžŃĐ”ĐœĐ° ĐŽĐ”ŃĐ°Đ»ŃĐ·Đ°ŃŃŃ ĐżŃĐž ĐœĐ°Đ·Đ”ĐŒĐœĐŸĐŒŃ Đ»Đ°Đ·Đ”ŃĐœĐŸĐŒŃ ŃĐșĐ°ĐœŃĐČĐ°ĐœĐœŃ Ń ĐżĐŸŃŃĐČĐœŃĐœĐœŃ Đ· ŃĐ°Ń
Đ”ĐŸĐŒĐ”ŃŃĐžŃĐœĐŸŃ Đ·ĐžÌĐŸĐŒĐșĐŸŃ ĐżŃĐŽĐČĐžŃŃŃ ŃĐŸŃĐœŃŃŃŃ ŃĐŸĐżĐŸĐłŃĐ°ŃŃŃĐœĐŸĐłĐŸ ĐżĐ»Đ°ĐœŃ. ĐŃĐŽĐČĐžŃĐ”ĐœĐœŃ ŃĐŸŃĐœĐŸŃŃŃ ĐČĐžĐ·ĐœĐ°ŃĐ”ĐœĐœŃ ĐŸĐ±ŃŃĐłŃ ĐżŃĐž ĐŒĐ°ŃŃŃĐ°Đ±Ń Đ·ĐžÌĐŸĐŒĐșĐž 1:500 â 1:2000 ŃŃĐ°ĐœĐŸĐČĐžŃŃ 12%.
ĐĐ°ŃĐșĐŸĐČĐ° ĐœĐŸĐČĐžĐ·ĐœĐ°. ĐĐ°ĐżŃĐŸĐżĐŸĐœĐŸĐČĐ°ĐœĐŸ ĐœĐŸĐČŃ ĐșĐŸĐœŃДпŃŃŃ ĐżŃĐŸĐČĐ”ĐŽĐ”ĐœĐœŃ ŃĐŸĐżĐŸĐłŃĐ°ŃŃŃĐœĐŸŃÌ Đ·ĐžÌĐŸĐŒĐșĐž ĐżŃĐž ĐČĐžŃŃŃĐ”ĐœĐœŃ ĐŒĐ°ŃĐșŃДОÌĐŽĐ”ŃŃŃĐșĐžŃ
Đ·Đ°ĐČĐŽĐ°ĐœŃ ŃĐ”ĐșŃĐ»ŃŃĐžĐČĐ°ŃŃŃÌ ĐżĐŸŃŃŃĐ”ĐœĐžŃ
Đ·Đ”ĐŒĐ”Đ»Ń, ŃĐŸ Đ·Đ°ŃĐœĐŸĐČĐ°ĐœĐ° ĐœĐ° ĐŒĐ”ŃĐŸĐŽĐ°Ń
ĐœĐ°Đ·Đ”ĐŒĐœĐŸĐłĐŸ лазДŃĐœĐŸĐłĐŸ ŃĐșĐ°ĐœŃĐČĐ°ĐœĐœŃ.
ĐŃĐ°ĐșŃĐžŃĐœĐ° Đ·ĐœĐ°ŃĐžĐŒŃŃŃŃ. ĐĐ°ŃŃĐŸŃŃĐČĐ°ĐœĐœŃ ŃĐ”Ń
ĐœĐŸĐ»ĐŸĐłŃŃÌ ĐœĐ°Đ·Đ”ĐŒĐœĐŸĐłĐŸ лазДŃĐœĐŸĐłĐŸ ŃĐșĐ°ĐœŃĐČĐ°ĐœĐœŃ ĐŽĐŸĐ·ĐČĐŸĐ»ŃŃ ĐŸŃŃĐžĐŒĐ°ŃĐž ĐŒĐžŃŃŃĐČŃ ŃŃĐžĐČĐžĐŒŃŃĐœŃ ĐČŃĐ·ŃĐ°Đ»ŃĐ·Đ°ŃŃŃ ŃĐ”ŃĐžŃĐŸŃŃŃÌ, забДзпДŃĐžŃĐž ĐČĐžŃĐŸĐșŃ ŃĐŸŃĐœŃŃŃŃ Ń ŃŃŃĐżŃĐœŃ ĐŽĐ”ŃĐ°Đ»ŃĐ·Đ°ŃŃŃÌ Đ·ĐžÌĐŸĐŒĐșĐž, ĐżŃĐŽĐČĐžŃĐžŃĐž ĐżŃĐŸĐŽŃĐșŃĐžĐČĐœŃŃŃŃ ĐżŃĐ°ŃŃ ŃĐ° ŃĐŒĐŸĐČĐž ĐżĐŸĐ»ŃĐŸĐČĐžŃ
ŃĐŸĐ±ŃŃ ĐżŃĐž Đ·ĐžÌĐŸĐŒŃŃ, ĐČĐžŃŃŃĐžŃĐž ĐŸŃĐœĐŸĐČĐœŃ Đ·Đ°ĐČĐŽĐ°ĐœĐœŃ ĐŒĐ°ŃĐșŃДОÌĐŽĐ”ŃŃŃĐșĐŸĐłĐŸ забДзпДŃĐ”ĐœĐœŃ ŃĐ”ĐșŃĐ»ŃŃĐžĐČĐ°ŃŃŃÌ ĐżĐŸŃŃŃĐ”ĐœĐžŃ
Đ·Đ”ĐŒĐ”Đ»Ń Ń ĐœĐ°ĐžÌĐșĐŸŃĐŸŃŃŃ ŃĐ”ŃĐŒŃĐœĐž Ń Đ· ĐœĐ”ĐŸĐ±Ń
ŃĐŽĐœĐŸŃ ŃĐșŃŃŃŃ Đ·ĐžÌĐŸĐŒĐșĐž.ЊДлŃ. ĐŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžĐ” ŃŃŃĐ”ĐșŃĐžĐČĐœĐŸŃŃĐž ĐŒĐ”ŃĐŸĐŽĐŸĐČ ŃĐŸĐżĐŸĐłŃĐ°ŃĐžŃĐ”ŃĐșĐŸĐžÌ ŃŃĐ”ĐŒĐșĐž ĐżŃĐž ŃĐ”ŃĐ”ĐœĐžĐž ĐŸŃĐœĐŸĐČĐœŃŃ
Đ·Đ°ĐŽĐ°Ń ĐŒĐ°ŃĐșŃДОÌĐŽĐ”ŃŃĐșĐŸĐłĐŸ ĐŸĐ±Đ”ŃпДŃĐ”ĐœĐžŃ ŃĐ”ĐșŃĐ»ŃŃĐžĐČĐ°ŃОО ĐœĐ°ŃŃŃĐ”ĐœĐœŃŃ
Đ·Đ”ĐŒĐ”Đ»Ń.
ĐĐ”ŃĐŸĐŽĐžĐșĐ°. ĐĄŃĐ°ĐČĐœĐžŃДлŃĐœŃĐžÌ Đ°ĐœĐ°Đ»ĐžĐ· ŃДзŃĐ»ŃŃĐ°ŃĐŸĐČ ŃĐŸĐżĐŸĐłŃĐ°ŃĐžŃĐ”ŃĐșĐŸĐžÌ ŃŃĐ”ĐŒĐșĐž, ĐżŃĐŸĐČĐ”ĐŽĐ”ĐœĐœŃŃ
Ń ĐžŃĐżĐŸĐ»ŃĐ·ĐŸĐČĐ°ĐœĐžĐ”ĐŒ ŃлДĐșŃŃĐŸĐœĐœĐŸĐłĐŸ ŃĐ°Ń
Đ”ĐŸĐŒĐ”ŃŃĐ° Đž ĐœĐ°Đ·Đ”ĐŒĐœĐŸĐłĐŸ лазДŃĐœĐŸĐłĐŸ ŃĐșĐ°ĐœĐ”ŃĐ° ĐżŃĐž ŃĐ”ĐșŃĐ»ŃŃĐžĐČĐ°ŃОО. ĐбŃĐ”ĐșŃĐŸĐŒ ŃĐŸĐżĐŸĐłŃĐ°ŃĐžŃĐ”ŃĐșĐŸĐžÌ ŃŃĐ”ĐŒĐșĐž ĐČŃбŃĐ°Đœ ĐŸŃĐČĐ°Đ» ĐșŃŃĐœĐŸĐłĐŸ ĐČŃŃДлаŃĐžĐČĐ°ĐœĐžŃ ŃŃĐ°ŃŃĐșĐ° ĐĐ”Đ»Đ°Ń ĐĐŸŃĐșĐ° ĐŒĐ”ŃŃĐŸŃĐŸĐ¶ĐŽĐ”ĐœĐžŃ Đ ĐŸĐŽĐœĐžĐșĐŸĐČĐŸĐ”. ĐĐ»Ń ĐșĐŸŃŃĐ”ĐșŃĐœĐŸŃŃĐž ŃŃĐ°ĐČĐœĐ”ĐœĐžŃ, ŃлДĐșŃŃĐŸĐœĐœŃĐžÌ ŃĐ°Ń
Đ”ĐŸĐŒĐ”ŃŃ Đž лазДŃĐœŃĐžÌ ŃĐșĐ°ĐœĐ”Ń ĐČŃбŃĐ°ĐœŃ ĐŸĐŽĐœĐŸĐłĐŸ ĐșлаŃŃĐ° ŃĐŸŃĐœĐŸŃŃĐž. ĐĐżŃĐ”ĐŽĐ”Đ»Đ”ĐœĐžĐ” ŃĐŸŃĐœĐŸŃŃĐž Đ·ĐœĐ°ŃĐ”ĐœĐžŃ ĐżĐ»ĐŸŃĐ°ĐŽĐž Đž ĐŸĐ±ŃĐ”ĐŒĐ° ĐŸĐ±ŃĐ”ĐșŃĐ° ĐżŃĐž ŃĐ°Ń
Đ”ĐŸĐŒĐ”ŃŃĐžŃĐ”ŃĐșĐŸĐžÌ ŃŃĐ”ĐŒĐșĐ” Đ·Đ°ĐČĐžŃĐžŃ ĐŸŃ ĐŽĐžŃĐșŃĐ”ŃĐœĐŸŃŃĐž ŃŃĐ”ĐŒĐŸŃĐœŃŃ
пОĐșĐ”ŃĐŸĐČ. ĐĐ° ĐżŃĐ°ĐșŃĐžĐșĐ” ĐżĐ»ĐŸŃĐœĐŸŃŃŃ ŃĐ°ŃŃŃĐ°ĐœĐŸĐČĐșĐž пОĐșĐ”ŃĐŸĐČ ĐŸĐłŃĐ°ĐœĐžŃĐ”ĐœĐ° ĐżŃĐŸĐžĐ·ĐČĐŸĐŽĐžŃДлŃĐœĐŸŃŃŃŃ ŃŃĐ”ĐŒĐŸŃĐœĐŸĐžÌ Đ±ŃОгаЎŃ, ĐșĐŸŃĐŸŃĐ°Ń, ĐșĐ°Đș ĐżŃĐ°ĐČĐžĐ»ĐŸ, ŃĐŸŃŃĐ°ĐČĐ»ŃĐ”Ń ĐœĐ”ŃĐșĐŸĐ»ŃĐșĐŸ ŃĐŸŃĐ”Đœ пОĐșĐ”ŃĐŸĐČ ĐČ ĐŽĐ”ĐœŃ, ĐżŃĐž ŃŃĐŸĐŒ ĐżĐ»ĐŸŃĐœĐŸŃŃŃ ŃĐŸŃŃĐ°ĐČĐ»ŃĐ”Ń ĐŽĐČĐ” ОлО ŃŃĐž ŃŃĐ”ĐŒĐŸŃĐœŃĐ” ŃĐŸŃĐșĐž ĐœĐ° 100 ĐŒ2 ĐżĐ»ĐŸŃĐ°ĐŽĐž ĐŸĐ±ŃĐ”ĐșŃĐ°. ĐĐ»Ń ĐŸĐżŃĐ”ĐŽĐ”Đ»Đ”ĐœĐžŃ Đ·Đ°ĐČĐžŃĐžĐŒĐŸŃŃĐž ŃĐŸŃĐœĐŸŃŃĐž ĐžĐ·ĐŒĐ”ŃĐ”ĐœĐžŃ ĐżŃĐž ŃĐ°Ń
Đ”ĐŸĐŒĐ”ŃŃĐžŃĐ”ŃĐșĐŸĐžÌ ŃŃĐ”ĐŒĐșĐ” ĐŸŃ ĐżĐ»ĐŸŃĐœĐŸŃŃĐž пОĐșĐ”ŃĐŸĐČ, ĐŸĐœĐ° ĐżŃĐŸĐČĐŸĐŽĐžĐ»Đ°ŃŃ ĐČ ŃĐ”ŃŃŃĐ”Ń
ŃазлОŃĐœŃŃ
ĐŒĐ°ŃŃŃабаŃ
, Ń ŃĐ°ŃŃŃĐŸŃĐœĐžĐ”ĐŒ ĐŒĐ”Đ¶ĐŽŃ ĐżĐžĐșĐ”ŃĐ°ĐŒĐž ĐŸŃ 5 ĐŽĐŸ 25 ĐŒĐ”ŃŃĐŸĐČ. ĐĐ»ĐŸŃĐœĐŸŃŃŃ ŃĐŸŃĐ”Đș (пОĐșĐ”ŃĐŸĐČ) ĐœĐ°Đ·Đ”ĐŒĐœĐŸĐłĐŸ лазДŃĐœĐŸĐłĐŸ ŃĐșĐ°ĐœĐ”ŃĐ°, ĐžŃĐżĐŸĐ»ŃĐ·ĐŸĐČĐ°ĐœĐœĐŸĐłĐŸ ĐČ ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžŃŃ
, ŃĐŸŃŃĐ°ĐČĐ»ŃĐ”Ń 500 ŃĐŸŃĐ”Đș ĐœĐ° 100 ĐŒ2 ĐżĐ»ĐŸŃĐ°ĐŽĐž ŃŃĐ”ĐŒĐșĐž.
РДзŃĐ»ŃŃĐ°ŃŃ. ĐĐŸ ŃДзŃĐ»ŃŃĐ°ŃĐ°ĐŒ ŃĐ°Ń
Đ”ĐŸĐŒĐ”ŃŃĐžŃĐ”ŃĐșĐŸĐžÌ ŃŃĐ”ĐŒĐșĐž Đž ĐœĐ°Đ·Đ”ĐŒĐœĐŸĐłĐŸ лазДŃĐœĐŸĐłĐŸ ŃĐșĐ°ĐœĐžŃĐŸĐČĐ°ĐœĐžŃ ĐŸŃĐČала ĐșŃŃĐœĐŸĐłĐŸ ĐČŃŃДлаŃĐžĐČĐ°ĐœĐžŃ ĐżĐŸĐ»ŃŃĐ”ĐœŃ ĐŽĐČĐ° ĐČĐ°ŃĐžĐ°ĐœŃĐ° ĐżĐ»Đ°ĐœĐŸĐČ ŃĐŸĐżĐŸĐłŃĐ°ŃĐžŃĐ”ŃĐșĐŸĐžÌ ĐżĐŸĐČĐ”ŃŃ
ĐœĐŸŃŃĐž Đž ŃĐłĐ»Đ°Đ¶Đ”ĐœĐœĐ°Ń Đ”Đ” ŃĐžŃŃĐŸĐČĐ°Ń ĐŒĐŸĐŽĐ”Đ»Ń. ĐĐŸĐČŃŃĐ”ĐœĐœĐ°Ń ĐŽĐ”ŃалОзаŃĐžŃ ĐżŃĐž ĐœĐ°Đ·Đ”ĐŒĐœĐŸĐŒ лазДŃĐœĐŸĐŒ ŃĐșĐ°ĐœĐžŃĐŸĐČĐ°ĐœĐžŃ ĐČ ŃŃĐ°ĐČĐœĐ”ĐœĐžĐž Ń ŃĐ°Ń
Đ”ĐŸĐŒĐ”ŃŃĐžŃĐ”ŃĐșĐŸĐžÌ ŃŃĐ”ĐŒĐșĐŸĐžÌ ĐżĐŸĐČŃŃĐ°Đ”Ń ŃĐŸŃĐœĐŸŃŃŃ ŃĐŸĐżĐŸĐłŃĐ°ŃĐžŃĐ”ŃĐșĐŸĐłĐŸ ĐżĐ»Đ°ĐœĐ°. ĐĐŸĐČŃŃĐ”ĐœĐžĐ” ŃĐŸŃĐœĐŸŃŃĐž ĐŸĐżŃĐ”ĐŽĐ”Đ»Đ”ĐœĐžŃ ĐŸĐ±ŃĐ”ĐŒĐ° ĐżŃĐž ĐŒĐ°ŃŃŃабД ŃŃĐ”ĐŒĐșĐž 1:500 â 1:2000 ŃĐŸŃŃĐ°ĐČĐ»ŃĐ”Ń 12%.
ĐĐ°ŃŃĐœĐ°Ń ĐœĐŸĐČĐžĐ·ĐœĐ°. ĐŃĐ”ĐŽĐ»ĐŸĐ¶Đ”ĐœĐ° ĐœĐŸĐČĐ°Ń ĐșĐŸĐœŃДпŃĐžŃ ĐżĐŸ ĐżŃĐŸĐČĐ”ĐŽĐ”ĐœĐžŃ ŃĐŸĐżĐŸĐłŃĐ°ŃĐžŃĐ”ŃĐșĐŸĐžÌ ŃŃĐ”ĐŒĐșĐž ĐżŃĐž ŃĐ”ŃĐ”ĐœĐžĐž ĐŒĐ°ŃĐșŃДОÌĐŽĐ”ŃŃĐșĐžŃ
Đ·Đ°ĐŽĐ°Ń ŃĐ”ĐșŃĐ»ŃŃĐžĐČĐ°ŃОО ĐœĐ°ŃŃŃĐ”ĐœĐœŃŃ
Đ·Đ”ĐŒĐ”Đ»Ń, ĐŸŃĐœĐŸĐČĐ°ĐœĐœĐ°Ń ĐœĐ° ĐŒĐ”ŃĐŸĐŽĐ°Ń
ĐœĐ°Đ·Đ”ĐŒĐœĐŸĐłĐŸ лазДŃĐœĐŸĐłĐŸ ŃĐșĐ°ĐœĐžŃĐŸĐČĐ°ĐœĐžŃ.
ĐŃĐ°ĐșŃĐžŃĐ”ŃĐșĐ°Ń Đ·ĐœĐ°ŃĐžĐŒĐŸŃŃŃ. ĐŃĐžĐŒĐ”ĐœĐ”ĐœĐžĐ” ŃĐ”Ń
ĐœĐŸĐ»ĐŸĐłĐžĐž ĐœĐ°Đ·Đ”ĐŒĐœĐŸĐłĐŸ лазДŃĐœĐŸĐłĐŸ ŃĐșĐ°ĐœĐžŃĐŸĐČĐ°ĐœĐžŃ ĐżĐŸĐ·ĐČĐŸĐ»ŃĐ”Ń ĐżĐŸĐ»ŃŃĐžŃŃ ĐŒĐłĐœĐŸĐČĐ”ĐœĐœŃŃ ŃŃĐ”Ń
ĐŒĐ”ŃĐœŃŃ ĐČОзŃалОзаŃĐžŃ ŃĐœĐžĐŒĐ°Đ”ĐŒĐŸĐžÌ ŃĐ”ŃŃĐžŃĐŸŃОО, ĐŸĐ±Đ”ŃпДŃĐžŃŃ ĐČŃŃĐŸĐșŃŃ ŃĐŸŃĐœĐŸŃŃŃ Đž ŃŃĐ”ĐżĐ”ĐœŃ ĐŽĐ”ŃалОзаŃОО ŃŃĐ”ĐŒĐșĐž, ĐżĐŸĐČŃŃĐžŃŃ ĐżŃĐŸĐžĐ·ĐČĐŸĐŽĐžŃДлŃĐœĐŸŃŃŃ ŃŃŃĐŽĐ° Đž ŃŃĐ»ĐŸĐČĐžŃ ĐżĐŸĐ»Đ”ĐČŃŃ
ŃĐ°Đ±ĐŸŃ ĐżŃĐž ŃŃĐ”ĐŒĐșĐ”, ŃĐ”ŃĐžŃŃ ĐŸŃĐœĐŸĐČĐœŃĐ” Đ·Đ°ĐŽĐ°ŃĐž ĐŒĐ°ŃĐșŃДОÌĐŽĐ”ŃŃĐșĐŸĐłĐŸ ĐŸĐ±Đ”ŃпДŃĐ”ĐœĐžŃ ŃĐ”ĐșŃĐ»ŃŃĐžĐČĐ°ŃОО ĐœĐ°ŃŃŃĐ”ĐœĐœŃŃ
Đ·Đ”ĐŒĐ”Đ»Ń ĐČ ĐșŃĐ°ŃŃĐ°ĐžÌŃОД ŃŃĐŸĐșĐž Đž Ń ŃŃДбŃĐ”ĐŒŃĐŒ ĐșĐ°ŃĐ”ŃŃĐČĐŸĐŒ ŃŃĐ”ĐŒĐșĐž.This paper was prepared within the framework of the Grant Financing Project of the Ministry of Education and Science of the Republic of Kazakhstan 2018/ĐĐ Đ5131591
A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks
Multisensor fusion and consensus filtering are two fascinating subjects in the research of sensor networks. In this survey, we will cover both classic results and recent advances developed in these two topics. First, we recall some important results in the development ofmultisensor fusion technology. Particularly, we pay great attention to the fusion with unknown correlations, which ubiquitously exist in most of distributed filtering problems. Next, we give a systematic review on several widely used consensus filtering approaches. Furthermore, some latest progress on multisensor fusion and consensus filtering is also presented. Finally,
conclusions are drawn and several potential future research directions are outlined.the Royal Society of the UK, the National Natural Science Foundation of China under Grants 61329301, 61374039, 61304010, 11301118, and 61573246, the Hujiang Foundation of China under Grants C14002
and D15009, the Alexander von Humboldt Foundation of Germany, and the Innovation Fund Project for Graduate Student of Shanghai under Grant JWCXSL140
Bibliometric studies on single journals: a review
This paper covers a total of 82 bibliometric studies on single journals (62 studies cover unique titles) published between 1998 and 2008 grouped into the following fields; Arts, Humanities and Social Sciences (12 items); Medical and Health Sciences (19 items); Sciences and Technology (30 items) and Library and Information Sciences (21 items). Under each field the studies are described in accordance to their geographical location in the following order, United Kingdom, United States and Americana, Europe, Asia (India, Africa and Malaysia). For each study, elements described are (a) the journalâs publication characteristics and indexation information; (b) the objectives; (c) the sampling and bibliometric measures used; and (d) the results observed. A list of journal titles studied is appended. The results show that (a)bibliometric studies cover journals in various fields; (b) there are several revisits of some journals which are considered important; (c) Asian and African contributions is high (41.4 of total studies; 43.5 covering unique titles), United States (30.4 of total; 31.0 on unique titles), Europe (18.2 of total and 14.5 on unique titles) and the United Kingdom (10 of total and 11 on unique titles); (d) a high number of bibliometrists are Indians and as such coverage of Indian journals is high (28 of total studies; 30.6 of unique titles); and (e) the quality of the journals and their importance either nationally or internationally are inferred from their indexation status
Robot Autonomy for Surgery
Autonomous surgery involves having surgical tasks performed by a robot
operating under its own will, with partial or no human involvement. There are
several important advantages of automation in surgery, which include increasing
precision of care due to sub-millimeter robot control, real-time utilization of
biosignals for interventional care, improvements to surgical efficiency and
execution, and computer-aided guidance under various medical imaging and
sensing modalities. While these methods may displace some tasks of surgical
teams and individual surgeons, they also present new capabilities in
interventions that are too difficult or go beyond the skills of a human. In
this chapter, we provide an overview of robot autonomy in commercial use and in
research, and present some of the challenges faced in developing autonomous
surgical robots
The determinants of web-based investor relations activities by companies operating in emerging economies : the case of Jordan
Peer reviewedPublisher PD
The antecedents of e-learning adoption within Italian corporate universities: A comparative case study
The implementation of Information and Communication Technologies (ICT) in business education appears to be influenced by a number of organizational issues, such as culture and technological sophistication. However, extant research has had very little to say about the antecedents that shape the adoption and diffusion of ICT across companies. In order to shed light on the phenomenon under investigation, this paper presents a comparative case study between five Italian companies that have instituted a corporate university. By distinguishing companies in typical cases and deviant cases with regard to the extensive use of e-learning technologies, our findings provide some useful insights about the antecedents that make companies more or less prone to employ the new frontiers of technology in their CUs
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