106,433 research outputs found

    Radio frequency optimization of a Global System for Mobile (GSM) network

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    Includes bibliographical references

    CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap

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    After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in multimedia search engines, we have identified and analyzed gaps within European research effort during our second year. In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio- economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core technological gaps that involve research challenges, and “enablers”, which are not necessarily technical research challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal challenges

    Digital system of quarry management as a SAAS solution: mineral deposit module

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    Purpose. Improving the efficiency of functioning the mining enterprises and aggregation of earlier obtained results into a unified digital system of designing and operative management by quarry operation. Methods. Both the traditional (analysis of scientific and patent literature, analytical methods of deposit parameters research, analysis of experience and exploitation of quarries, conducting the passive experiment and processing the statistical data) and new forms of scientific research - deposit modeling on the basis of classical and neural network methods of approximation – are used in the work. For the purpose of the software product realization on the basis of cloud technologies, there were used: for back-end implementation – server-based scripting language php; for the front-end – multi-paradigm programming language javascript, javascript framework jQuery and asynchronous data exchange technology Ajax. Findings. The target audience of the system has been identified, SWOT-analysis has been carried out, conceptual directions of 3D-quarry system development have been defined. The strategies of development and promotion of the software product, as well as the strategies of safety and reliability of the application both for the client and the owner of the system have been formulated. The modular structure of the application has been developed, and the system functions have been divided to implement both back-end and front-end applications. The Mineral Deposit Module has been developed: the geological structure of the deposit has been simulated and its block model has been constructed. It has been proved that the use of neural network algorithms does not give an essential increase in the accuracy of the block model for the deposits of 1 and 2 groups in terms of the geological structure complexity. The possibility and prospects of constructing the systems for subsoil users on the basis of cloud technologies and the concept of SaaS have been substantiated. Originality. For the first time, the modern software products for solving the problems of designing and operational management of mining operations have been successfully developed on the basis of the SaaS concept. Practical implications. The results are applicable for enterprises-subsoil users, working with deposits of 1 and 2 groups in terms of the geological structure complexity: design organizations, as well as mining and processing plants.ĐœĐ”Ń‚Đ°. ПіЮĐČĐžŃ‰Đ”ĐœĐœŃ ДфДĐșтоĐČĐœĐŸŃŃ‚Ń– Ń„ŃƒĐœĐșŃ†Ń–ĐŸĐœŃƒĐČĐ°ĐœĐœŃ ĐłŃ–Ń€ĐœĐžŃ‡ĐŸŃ€ŃƒĐŽĐœĐžŃ… ĐżŃ–ĐŽĐżŃ€ĐžŃ”ĐŒŃŃ‚ĐČ Ń‚Đ° Đ°ĐłŃ€Đ”ĐłĐ°Ń†Ń–Ń Ń€Đ°ĐœŃ–ŃˆĐ” ĐŸŃ‚Ń€ĐžĐŒĐ°ĐœĐžŃ… Ń€Đ”Đ·ŃƒĐ»ŃŒŃ‚Đ°Ń‚Ń–ĐČ ĐČ Ń”ĐŽĐžĐœŃƒ Ń†ĐžŃ„Ń€ĐŸĐČу ŃĐžŃŃ‚Đ”ĐŒŃƒ ĐżŃ€ĐŸĐ”ĐșтуĐČĐ°ĐœĐœŃ і ĐŸĐżĐ”Ń€Đ°Ń‚ĐžĐČĐœĐŸĐłĐŸ упраĐČĐ»Ń–ĐœĐœŃ Ń€ĐŸĐ±ĐŸŃ‚ĐŸŃŽ Đșар’єріĐČ. ĐœĐ”Ń‚ĐŸĐŽĐžĐșĐ°. ĐŁ Ń€ĐŸĐ±ĐŸŃ‚Ń– ĐČĐžĐșĐŸŃ€ĐžŃŃ‚Đ°ĐœŃ– яĐș траЮоціĐčĐœŃ– (Đ°ĐœĐ°Đ»Ń–Đ· ĐœĐ°ŃƒĐșĐŸĐČĐŸ-ĐżĐ°Ń‚Đ”ĐœŃ‚ĐœĐŸŃ— Đ»Ń–Ń‚Đ”Ń€Đ°Ń‚ŃƒŃ€Đž, Đ°ĐœĐ°Đ»Ń–Ń‚ĐžŃ‡ĐœŃ– ĐŒĐ”Ń‚ĐŸĐŽĐž ĐŽĐŸŃĐ»Ń–ĐŽĐ¶Đ”ĐœĐœŃ ĐżĐ°Ń€Đ°ĐŒĐ”Ń‚Ń€Ń–ĐČ Ń€ĐŸĐŽĐŸĐČоща, Đ°ĐœĐ°Đ»Ń–Đ· ĐŽĐŸŃĐČіЮу Đč Đ”ĐșŃĐżĐ»ŃƒĐ°Ń‚Đ°Ń†Ń–Ń— Đșар’єріĐČ, ĐżŃ€ĐŸĐČĐ”ĐŽĐ”ĐœĐœŃ пасОĐČĐœĐŸĐłĐŸ Đ”ĐșŃĐżĐ”Ń€ĐžĐŒĐ”ĐœŃ‚Ńƒ та ŃŃ‚Đ°Ń‚ĐžŃŃ‚ĐžŃ‡ĐœĐŸŃ— ĐŸĐ±Ń€ĐŸĐ±ĐșĐž ĐŽĐ°ĐœĐžŃ…), таĐș і ĐœĐŸĐČі Ń„ĐŸŃ€ĐŒĐž ĐœĐ°ŃƒĐșĐŸĐČĐŸĐłĐŸ ĐŽĐŸŃĐ»Ń–ĐŽĐ¶Đ”ĐœĐœŃ – ĐŒĐŸĐŽĐ”Đ»ŃŽĐČĐ°ĐœĐœŃ Ń€ĐŸĐŽĐŸĐČоща ĐœĐ° ĐŸŃĐœĐŸĐČі ĐșĐ»Đ°ŃĐžŃ‡ĐœĐžŃ… і ĐœĐ”ĐčŃ€ĐŸĐŒĐ”Ń€Đ”Đ¶Đ”ĐČох ĐŒĐ”Ń‚ĐŸĐŽŃ–ĐČ Đ°ĐżŃ€ĐŸĐșŃĐžĐŒĐ°Ń†Ń–Ń—. Đ”Đ»Ń рДалізації ĐżŃ€ĐŸĐłŃ€Đ°ĐŒĐœĐŸĐłĐŸ ĐżŃ€ĐŸĐŽŃƒĐșту ĐœĐ° ĐŸŃĐœĐŸĐČі Ń…ĐŒĐ°Ń€ĐœĐžŃ… Ń‚Đ”Ń…ĐœĐŸĐ»ĐŸĐłŃ–Đč ĐČĐžĐșĐŸŃ€ĐžŃŃ‚Đ°ĐœŃ–: ĐŽĐ»Ń рДалізації back-end – сДрĐČĐ”Ń€ĐœĐ° сĐșŃ€ĐžĐżŃ‚ĐŸĐČĐ° ĐŒĐŸĐČĐ° ĐżŃ€ĐŸĐłŃ€Đ°ĐŒŃƒĐČĐ°ĐœĐœŃ php; ĐŽĐ»Ń front-end – ĐŒŃƒĐ»ŃŒŃ‚ĐžĐżĐ°Ń€Đ°ĐŽŃ–ĐłĐŒĐ”ĐœĐœĐ° ĐŒĐŸĐČĐ° ĐżŃ€ĐŸĐłŃ€Đ°ĐŒŃƒĐČĐ°ĐœĐœŃ javascript, javascript framework jQuery і Ń‚Đ”Ń…ĐœĐŸĐ»ĐŸĐłŃ–Ń Đ°ŃĐžĐœŃ…Ń€ĐŸĐœĐœĐŸĐłĐŸ ĐŸĐ±ĐŒŃ–ĐœŃƒ ĐŽĐ°ĐœĐžĐŒĐž Ajax. Đ Đ”Đ·ŃƒĐ»ŃŒŃ‚Đ°Ń‚Đž. ВояĐČĐ»Đ”ĐœĐŸ Ń†Ń–Đ»ŃŒĐŸĐČу Đ°ŃƒĐŽĐžŃ‚ĐŸŃ€Ń–ŃŽ ŃĐžŃŃ‚Đ”ĐŒĐž, ĐżŃ€ĐŸĐČĐ”ĐŽĐ”ĐœĐŸ SWOT-Đ°ĐœĐ°Đ»Ń–Đ·, ĐČĐžĐ·ĐœĐ°Ń‡Đ”ĐœĐŸ ĐșĐŸĐœŃ†Đ”ĐżŃ‚ŃƒĐ°Đ»ŃŒĐœŃ– ĐœĐ°ĐżŃ€ŃĐŒĐž Ń€ĐŸĐ·ĐČотĐșу ŃĐžŃŃ‚Đ”ĐŒĐž 3D-Đșар’єр, Ń€ĐŸĐ·Ń€ĐŸĐ±Đ»Đ”ĐœŃ– стратДгії Ń€ĐŸĐ·ĐČотĐșу та ĐżŃ€ĐŸŃŃƒĐČĐ°ĐœĐœŃ ĐżŃ€ĐŸĐłŃ€Đ°ĐŒĐœĐŸĐłĐŸ ĐżŃ€ĐŸĐŽŃƒĐșту, Ń€ĐŸĐ·Ń€ĐŸĐ±Đ»Đ”ĐœŃ– стратДгії бДзпДĐșĐž Đč ĐœĐ°ĐŽŃ–ĐčĐœĐŸŃŃ‚Ń– ĐŽĐŸĐŽĐ°Ń‚ĐșĐž яĐș ĐŽĐ»Ń ĐșĐ»Ń–Ń”ĐœŃ‚Đ°, таĐș і ĐČĐ»Đ°ŃĐœĐžĐșĐ° ŃĐžŃŃ‚Đ”ĐŒĐž. Đ ĐŸĐ·Ń€ĐŸĐ±Đ»Đ”ĐœĐŸ ĐŒĐŸĐŽŃƒĐ»ŃŒĐœŃƒ струĐșтуру ĐżŃ€ĐŸĐłŃ€Đ°ĐŒĐž, ĐČĐžŃ€ĐŸĐ±Đ»Đ”ĐœĐŸ Ń€ĐŸĐ·ĐżĐŸĐŽŃ–Đ» Ń„ŃƒĐœĐșціĐč ŃĐžŃŃ‚Đ”ĐŒĐž ĐŽĐ»Ń рДалізації яĐș back-end і front-end ĐŽĐŸĐŽĐ°Ń‚ĐșĐž. Đ ĐŸĐ·Ń€ĐŸĐ±Đ»Đ”ĐœĐŸ ĐŒĐŸĐŽŃƒĐ»ŃŒ â€œĐ ĐŸĐŽĐŸĐČĐžŃ‰Đ”â€: ĐżŃ€ĐŸĐČĐ”ĐŽĐ”ĐœĐŸ ĐŒĐŸĐŽĐ”Đ»ŃŽĐČĐ°ĐœĐœŃ ĐłĐ”ĐŸĐ»ĐŸĐłŃ–Ń‡ĐœĐŸŃ— струĐșтуро Ń€ĐŸĐŽĐŸĐČоща та ĐżĐŸĐ±ŃƒĐŽĐŸĐČĐ°ĐœĐ° ĐčĐŸĐłĐŸ Đ±Đ»ĐŸĐșĐŸĐČĐ° ĐŒĐŸĐŽĐ”Đ»ŃŒ. Đ”ĐŸĐČĐ”ĐŽĐ”ĐœĐŸ, Ń‰ĐŸ ĐČĐžĐșĐŸŃ€ĐžŃŃ‚Đ°ĐœĐœŃ ĐœĐ”ĐčŃ€ĐŸĐŒĐ”Ń€Đ”Đ¶Đ”ĐČох Đ°Đ»ĐłĐŸŃ€ĐžŃ‚ĐŒŃ–ĐČ ĐœĐ” Юає ĐżŃ€ĐžĐœŃ†ĐžĐżĐŸĐČĐŸĐłĐŸ піЮĐČĐžŃ‰Đ”ĐœĐœŃ Ń‚ĐŸŃ‡ĐœĐŸŃŃ‚Ń– Đ±Đ»ĐŸĐșĐŸĐČĐŸŃ— ĐŒĐŸĐŽĐ”Đ»Ń– ĐŽĐ»Ń Ń€ĐŸĐŽĐŸĐČощ 1 і 2 груп Đ·Đ° сĐșĐ»Đ°ĐŽĐœŃ–ŃŃ‚ŃŽ ĐłĐ”ĐŸĐ»ĐŸĐłŃ–Ń‡ĐœĐŸŃ— Đ±ŃƒĐŽĐŸĐČĐž. ВояĐČĐ»Đ”ĐœĐŸ ĐœĐ”ĐŽĐŸĐ»Ń–ĐșĐž ĐœĐ”ĐčŃ€ĐŸĐŒĐ”Ń€Đ”Đ¶Đ”ĐČох Đ°Đ»ĐłĐŸŃ€ĐžŃ‚ĐŒŃ–ĐČ, таĐșі яĐș ĐČĐžŃĐŸĐșі ĐČотрато ĐŸĐ±Ń‡ĐžŃĐ»ŃŽĐČĐ°Đ»ŃŒĐœĐžŃ… Ń€Đ”ŃŃƒŃ€ŃŃ–ĐČ ŃĐ”Ń€ĐČДра і ĐżŃ€ĐŸĐ±Đ»Đ”ĐŒĐž ĐČŃ–Đ·ŃƒĐ°Đ»Ń–Đ·Đ°Ń†Ń–Ń— ĐČДлОĐșох ĐŒĐ°ŃĐžĐČіĐČ ĐłĐ”ĐŸĐŽĐ°ĐœĐžŃ… про ĐČĐžĐșĐŸŃ€ĐžŃŃ‚Đ°ĐœĐœŃ– web-Ń€Ń–ŃˆĐ”ĐœŃŒ, Đ·ĐœĐ°ĐčĐŽĐ”ĐœŃ– ŃˆĐ»ŃŃ…Đž їх ĐČĐžŃ€Ń–ŃˆĐ”ĐœĐœŃ. Đ”ĐŸĐČĐ”ĐŽĐ”ĐœĐŸ ĐŒĐŸĐ¶Đ»ĐžĐČість і пДрспДĐșтоĐČĐœŃ–ŃŃ‚ŃŒ ĐżĐŸĐ±ŃƒĐŽĐŸĐČĐž ŃĐžŃŃ‚Đ”ĐŒ ĐŽĐ»Ń ĐœĐ°ĐŽŃ€ĐŸĐșĐŸŃ€ĐžŃŃ‚ŃƒĐČачіĐČ ĐœĐ° ĐŸŃĐœĐŸĐČі Ń…ĐŒĐ°Ń€ĐœĐžŃ… Ń‚Đ”Ń…ĐœĐŸĐ»ĐŸĐłŃ–Đč і ĐșĐŸĐœŃ†Đ”ĐżŃ†Ń–Ń— SaaS. НауĐșĐŸĐČĐ° ĐœĐŸĐČĐžĐ·ĐœĐ°. Đ’ĐżĐ”Ń€ŃˆĐ” ĐœĐ° ĐŸŃĐœĐŸĐČі ĐșĐŸĐœŃ†Đ”ĐżŃ†Ń–Ń— ASP ŃƒŃĐżŃ–ŃˆĐœĐŸ ĐżĐŸĐ±ŃƒĐŽĐŸĐČĐ°ĐœŃ– ŃŃƒŃ‡Đ°ŃĐœŃ– ĐżŃ€ĐŸĐłŃ€Đ°ĐŒĐœŃ– ĐżŃ€ĐŸĐŽŃƒĐșто ĐŽĐ»Ń ĐČĐžŃ€Ń–ŃˆĐ”ĐœĐœŃ Đ·Đ°ĐČĐŽĐ°ĐœŃŒ ĐżŃ€ĐŸĐ”ĐșтуĐČĐ°ĐœĐœŃ та ĐŸĐżĐ”Ń€Đ°Ń‚ĐžĐČĐœĐŸĐłĐŸ ĐșĐ”Ń€ŃƒĐČĐ°ĐœĐœŃ ĐłŃ–Ń€ĐœĐžŃ‡ĐžĐŒĐž Ń€ĐŸĐ±ĐŸŃ‚Đ°ĐŒĐž. ПраĐșŃ‚ĐžŃ‡ĐœĐ° Đ·ĐœĐ°Ń‡ĐžĐŒŃ–ŃŃ‚ŃŒ. Đ Đ”Đ·ŃƒĐ»ŃŒŃ‚Đ°Ń‚Đž ĐșĐŸŃ€ĐžŃĐœŃ– ĐŽĐ»Ń ĐżŃ–ĐŽĐżŃ€ĐžŃ”ĐŒŃŃ‚ĐČ-ĐœĐ°ĐŽŃ€ĐŸĐșĐŸŃ€ĐžŃŃ‚ŃƒĐČачіĐČ, яĐșі працюють Đ· Ń€ĐŸĐŽĐŸĐČĐžŃ‰Đ°ĐŒĐž 1 і 2 груп Đ·Đ° сĐșĐ»Đ°ĐŽĐœŃ–ŃŃ‚ŃŽ ĐłĐ”ĐŸĐ»ĐŸĐłŃ–Ń‡ĐœĐŸŃ— Đ±ŃƒĐŽĐŸĐČĐž – ĐżŃ€ĐŸĐ”ĐșŃ‚ĐœĐžŃ… ĐŸŃ€ĐłĐ°ĐœŃ–Đ·Đ°Ń†Ń–Đč і ГЗК.ĐŠĐ”Đ»ŃŒ. ĐŸĐŸĐČŃ‹ŃˆĐ”ĐœĐžĐ” ŃŃ„Ń„Đ”ĐșтоĐČĐœĐŸŃŃ‚Đž Ń„ŃƒĐœĐșŃ†ĐžĐŸĐœĐžŃ€ĐŸĐČĐ°ĐœĐžŃ ĐłĐŸŃ€ĐœĐŸŃ€ŃƒĐŽĐœŃ‹Ń… ĐżŃ€Đ”ĐŽĐżŃ€ĐžŃŃ‚ĐžĐč Đž Đ°ĐłŃ€Đ”ĐłĐ°Ń†ĐžŃ Ń€Đ°ĐœĐ”Đ” ĐżĐŸĐ»ŃƒŃ‡Đ”ĐœĐœŃ‹Ń… Ń€Đ”Đ·ŃƒĐ»ŃŒŃ‚Đ°Ń‚ĐŸĐČ ĐČ Đ”ĐŽĐžĐœŃƒŃŽ Ń†ĐžŃ„Ń€ĐŸĐČую ŃĐžŃŃ‚Đ”ĐŒŃƒ ĐżŃ€ĐŸĐ”ĐșŃ‚ĐžŃ€ĐŸĐČĐ°ĐœĐžŃ Đž ĐŸĐżĐ”Ń€Đ°Ń‚ĐžĐČĐœĐŸĐłĐŸ упраĐČĐ»Đ”ĐœĐžŃ Ń€Đ°Đ±ĐŸŃ‚ĐŸĐč ĐșĐ°Ń€ŃŒĐ”Ń€ĐŸĐČ. ĐœĐ”Ń‚ĐŸĐŽĐžĐșĐ°. В Ń€Đ°Đ±ĐŸŃ‚Đ” ĐžŃĐżĐŸĐ»ŃŒĐ·ĐŸĐČĐ°ĐœŃ‹ ĐșĐ°Đș Ń‚Ń€Đ°ĐŽĐžŃ†ĐžĐŸĐœĐœŃ‹Đ” (Đ°ĐœĐ°Đ»ĐžĐ· ĐœĐ°ŃƒŃ‡ĐœĐŸ-ĐżĐ°Ń‚Đ”ĐœŃ‚ĐœĐŸĐč Đ»ĐžŃ‚Đ”Ń€Đ°Ń‚ŃƒŃ€Ń‹, Đ°ĐœĐ°Đ»ĐžŃ‚ĐžŃ‡Đ”ŃĐșОД ĐŒĐ”Ń‚ĐŸĐŽŃ‹ ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžŃ ĐżĐ°Ń€Đ°ĐŒĐ”Ń‚Ń€ĐŸĐČ ĐŒĐ”ŃŃ‚ĐŸŃ€ĐŸĐ¶ĐŽĐ”ĐœĐžŃ, Đ°ĐœĐ°Đ»ĐžĐ· ĐŸĐżŃ‹Ń‚Đ° Đž эĐșŃĐżĐ»ŃƒĐ°Ń‚Đ°Ń†ĐžĐž ĐșĐ°Ń€ŃŒĐ”Ń€ĐŸĐČ, ĐżŃ€ĐŸĐČĐ”ĐŽĐ”ĐœĐžĐ” пассОĐČĐœĐŸĐłĐŸ эĐșŃĐżĐ”Ń€ĐžĐŒĐ”ĐœŃ‚Đ° Đž статОстОчДсĐșĐŸĐč ĐŸĐ±Ń€Đ°Đ±ĐŸŃ‚ĐșĐŸĐč ĐŽĐ°ĐœĐœŃ‹Ń…), таĐș Đž ĐœĐŸĐČŃ‹Đ” Ń„ĐŸŃ€ĐŒŃ‹ ĐœĐ°ŃƒŃ‡ĐœĐŸĐłĐŸ ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžŃ – ĐŒĐŸĐŽĐ”Đ»ĐžŃ€ĐŸĐČĐ°ĐœĐžĐ” ĐŒĐ”ŃŃ‚ĐŸŃ€ĐŸĐ¶ĐŽĐ”ĐœĐžŃ ĐœĐ° ĐŸŃĐœĐŸĐČĐ” ĐșлассОчДсĐșох Đž ĐœĐ”ĐčŃ€ĐŸŃĐ”Ń‚Đ”ĐČых ĐŒĐ”Ń‚ĐŸĐŽĐŸĐČ Đ°ĐżĐżŃ€ĐŸĐșŃĐžĐŒĐ°Ń†ĐžĐž. Đ”Đ»Ń рДалОзацОО ĐżŃ€ĐŸĐłŃ€Đ°ĐŒĐŒĐœĐŸĐłĐŸ ĐżŃ€ĐŸĐŽŃƒĐșта ĐœĐ° ĐŸŃĐœĐŸĐČĐ” ĐŸĐ±Đ»Đ°Ń‡ĐœŃ‹Ń… Ń‚Đ”Ń…ĐœĐŸĐ»ĐŸĐłĐžĐč ĐžŃĐżĐŸĐ»ŃŒĐ·ĐŸĐČĐ°ĐœŃ‹: ĐŽĐ»Ń рДалОзацОО back-end – сДрĐČĐ”Ń€ĐœŃ‹Đč сĐșŃ€ĐžĐżŃ‚ĐŸĐČыĐč ŃĐ·Ń‹Đș ĐżŃ€ĐŸĐłŃ€Đ°ĐŒĐŒĐžŃ€ĐŸĐČĐ°ĐœĐžŃ php; ĐŽĐ»Ń front-end – ĐŒŃƒĐ»ŃŒŃ‚ĐžĐżĐ°Ń€Đ°ĐŽĐžĐłĐŒĐ”ĐœĐœŃ‹Đč ŃĐ·Ń‹Đș ĐżŃ€ĐŸĐłŃ€Đ°ĐŒĐŒĐžŃ€ĐŸĐČĐ°ĐœĐžŃ javascript, javascript framework jQuery Đž Ń‚Đ”Ń…ĐœĐŸĐ»ĐŸĐłĐžŃ Đ°ŃĐžĐœŃ…Ń€ĐŸĐœĐœĐŸĐłĐŸ ĐŸĐ±ĐŒĐ”ĐœĐ° ĐŽĐ°ĐœĐœŃ‹ĐŒĐž Ajax. Đ Đ”Đ·ŃƒĐ»ŃŒŃ‚Đ°Ń‚Ń‹. ВыяĐČĐ»Đ”ĐœĐ° цДлДĐČая Đ°ŃƒĐŽĐžŃ‚ĐŸŃ€ĐžŃ ŃĐžŃŃ‚Đ”ĐŒŃ‹, ĐżŃ€ĐŸĐČĐ”ĐŽĐ”Đœ SWOT-Đ°ĐœĐ°Đ»ĐžĐ·, ĐŸĐżŃ€Đ”ĐŽĐ”Đ»Đ”ĐœŃ‹ ĐșĐŸĐœŃ†Đ”ĐżŃ‚ŃƒĐ°Đ»ŃŒĐœŃ‹Đ” ĐœĐ°ĐżŃ€Đ°ĐČĐ»Đ”ĐœĐžŃ разĐČотоя ŃĐžŃŃ‚Đ”ĐŒŃ‹ 3D-ĐșĐ°Ń€ŃŒĐ”Ń€, Ń€Đ°Đ·Ń€Đ°Đ±ĐŸŃ‚Đ°ĐœŃ‹ стратДгОО разĐČотоя Đž ĐżŃ€ĐŸĐŽĐČĐžĐ¶Đ”ĐœĐžŃ ĐżŃ€ĐŸĐłŃ€Đ°ĐŒĐŒĐœĐŸĐłĐŸ ĐżŃ€ĐŸĐŽŃƒĐșта, Ń€Đ°Đ·Ń€Đ°Đ±ĐŸŃ‚Đ°ĐœŃ‹ стратДгОО Đ±Đ”Đ·ĐŸĐżĐ°ŃĐœĐŸŃŃ‚Đž Đž ĐœĐ°ĐŽĐ”Đ¶ĐœĐŸŃŃ‚Đž ĐżŃ€ĐžĐ»ĐŸĐ¶Đ”ĐœĐžŃ ĐșĐ°Đș ĐŽĐ»Ń ĐșĐ»ĐžĐ”ĐœŃ‚Đ°, таĐș Đž ĐČĐ»Đ°ĐŽĐ”Đ»ŃŒŃ†Đ° ŃĐžŃŃ‚Đ”ĐŒŃ‹. Đ Đ°Đ·Ń€Đ°Đ±ĐŸŃ‚Đ°ĐœĐ° ĐŒĐŸĐŽŃƒĐ»ŃŒĐœĐ°Ń струĐșтура ĐżŃ€ĐžĐ»ĐŸĐ¶Đ”ĐœĐžŃ, ĐżŃ€ĐŸĐžĐ·ĐČĐ”ĐŽĐ”ĐœĐŸ ĐŽĐ”Đ»Đ”ĐœĐžĐ” Ń„ŃƒĐœĐșцоĐč ŃĐžŃŃ‚Đ”ĐŒŃ‹ ĐŽĐ»Ń рДалОзацОО ĐșĐ°Đș back-end Đž front-end ĐżŃ€ĐžĐ»ĐŸĐ¶Đ”ĐœĐžŃ. Đ Đ°Đ·Ń€Đ°Đ±ĐŸŃ‚Đ°Đœ ĐŒĐŸĐŽŃƒĐ»ŃŒ â€œĐœĐ”ŃŃ‚ĐŸŃ€ĐŸĐ¶ĐŽĐ”ĐœĐžĐ”â€: ĐżŃ€ĐŸĐČĐ”ĐŽĐ”ĐœĐŸ ĐŒĐŸĐŽĐ”Đ»ĐžŃ€ĐŸĐČĐ°ĐœĐžĐ” ĐłĐ”ĐŸĐ»ĐŸĐłĐžŃ‡Đ”ŃĐșĐŸĐč струĐșтуры ĐŒĐ”ŃŃ‚ĐŸŃ€ĐŸĐ¶ĐŽĐ”ĐœĐžŃ Đž ĐżĐŸŃŃ‚Ń€ĐŸĐ”ĐœĐ° Đ”ĐłĐŸ Đ±Đ»ĐŸŃ‡ĐœĐ°Ń ĐŒĐŸĐŽĐ”Đ»ŃŒ. Đ”ĐŸĐșĐ°Đ·Đ°ĐœĐŸ, Ń‡Ń‚ĐŸ ĐžŃĐżĐŸĐ»ŃŒĐ·ĐŸĐČĐ°ĐœĐžĐ” ĐœĐ”ĐčŃ€ĐŸŃĐ”Ń‚Đ”ĐČых Đ°Đ»ĐłĐŸŃ€ĐžŃ‚ĐŒĐŸĐČ ĐœĐ” ЎаДт ĐżŃ€ĐžĐœŃ†ĐžĐżĐžĐ°Đ»ŃŒĐœĐŸĐłĐŸ ĐżĐŸĐČŃ‹ŃˆĐ”ĐœĐžŃ Ń‚ĐŸŃ‡ĐœĐŸŃŃ‚Đž Đ±Đ»ĐŸŃ‡ĐœĐŸĐč ĐŒĐŸĐŽĐ”Đ»Đž ĐŽĐ»Ń ĐŒĐ”ŃŃ‚ĐŸŃ€ĐŸĐ¶ĐŽĐ”ĐœĐžĐč 1 Đž 2 групп ĐżĐŸ ŃĐ»ĐŸĐ¶ĐœĐŸŃŃ‚Đž ĐłĐ”ĐŸĐ»ĐŸĐłĐžŃ‡Đ”ŃĐșĐŸĐłĐŸ ŃŃ‚Ń€ĐŸĐ”ĐœĐžŃ. ВыяĐČĐ»Đ”ĐœŃ‹ ĐœĐ”ĐŽĐŸŃŃ‚Đ°Ń‚ĐșĐž ĐœĐ”ĐčŃ€ĐŸŃĐ”Ń‚Đ”ĐČых Đ°Đ»ĐłĐŸŃ€ĐžŃ‚ĐŒĐŸĐČ, таĐșОД ĐșĐ°Đș ĐČŃ‹ŃĐŸĐșОД затраты ĐČŃ‹Ń‡ĐžŃĐ»ĐžŃ‚Đ”Đ»ŃŒĐœŃ‹Ń… Ń€Đ”ŃŃƒŃ€ŃĐŸĐČ ŃĐ”Ń€ĐČДра Đž ĐżŃ€ĐŸĐ±Đ»Đ”ĐŒŃ‹ ĐČĐžĐ·ŃƒĐ°Đ»ĐžĐ·Đ°Ń†ĐžĐž Đ±ĐŸĐ»ŃŒŃˆĐžŃ… ĐŒĐ°ŃŃĐžĐČĐŸĐČ ĐłĐ”ĐŸĐŽĐ°ĐœĐœŃ‹Ń… про ĐžŃĐżĐŸĐ»ŃŒĐ·ĐŸĐČĐ°ĐœĐžĐž web-Ń€Đ”ŃˆĐ”ĐœĐžĐč, ĐœĐ°ĐčĐŽĐ”ĐœŃ‹ путо ох Ń€Đ”ŃˆĐ”ĐœĐžŃ. Đ”ĐŸĐșĐ°Đ·Đ°ĐœĐ° ĐČĐŸĐ·ĐŒĐŸĐ¶ĐœĐŸŃŃ‚ŃŒ Đž пДрспДĐșтоĐČĐœĐŸŃŃ‚ŃŒ ĐżĐŸŃŃ‚Ń€ĐŸĐ”ĐœĐžŃ ŃĐžŃŃ‚Đ”ĐŒ ĐŽĐ»Ń ĐœĐ”ĐŽŃ€ĐŸĐżĐŸĐ»ŃŒĐ·ĐŸĐČатДлДĐč ĐœĐ° ĐŸŃĐœĐŸĐČĐ” ĐŸĐ±Đ»Đ°Ń‡ĐœŃ‹Ń… Ń‚Đ”Ń…ĐœĐŸĐ»ĐŸĐłĐžĐč Đž ĐșĐŸĐœŃ†Đ”ĐżŃ†ĐžĐž SaaS. ĐĐ°ŃƒŃ‡ĐœĐ°Ń ĐœĐŸĐČĐžĐ·ĐœĐ°. ВпДрĐČŃ‹Đ” ĐœĐ° ĐŸŃĐœĐŸĐČĐ” ĐșĐŸĐœŃ†Đ”ĐżŃ†ĐžĐž ASP ŃƒŃĐżĐ”ŃˆĐœĐŸ ĐżĐŸŃŃ‚Ń€ĐŸĐ”ĐœŃ‹ ŃĐŸĐČŃ€Đ”ĐŒĐ”ĐœĐœŃ‹Đ” ĐżŃ€ĐŸĐłŃ€Đ°ĐŒĐŒĐœŃ‹Đ” ĐżŃ€ĐŸĐŽŃƒĐșты ĐŽĐ»Ń Ń€Đ”ŃˆĐ”ĐœĐžŃ заЎач ĐżŃ€ĐŸĐ”ĐșŃ‚ĐžŃ€ĐŸĐČĐ°ĐœĐžŃ Đž ĐŸĐżĐ”Ń€Đ°Ń‚ĐžĐČĐœĐŸĐłĐŸ упраĐČĐ»Đ”ĐœĐžŃ ĐłĐŸŃ€ĐœŃ‹ĐŒĐž Ń€Đ°Đ±ĐŸŃ‚Đ°ĐŒĐž. ПраĐșтОчДсĐșая Đ·ĐœĐ°Ń‡ĐžĐŒĐŸŃŃ‚ŃŒ. Đ Đ”Đ·ŃƒĐ»ŃŒŃ‚Đ°Ń‚Ń‹ ĐżŃ€ĐžĐŒĐ”ĐœĐžĐŒŃ‹ ĐŽĐ»Ń ĐżŃ€Đ”ĐŽĐżŃ€ĐžŃŃ‚ĐžĐč-ĐœĐ”ĐŽŃ€ĐŸĐżĐŸĐ»ŃŒĐ·ĐŸĐČатДлДĐč, Ń€Đ°Đ±ĐŸŃ‚Đ°ŃŽŃ‰ĐžŃ… с ĐŒĐ”ŃŃ‚ĐŸŃ€ĐŸĐ¶ĐŽĐ”ĐœĐžŃĐŒĐž 1 Đž 2 групп ĐżĐŸ ŃĐ»ĐŸĐ¶ĐœĐŸŃŃ‚Đž ĐłĐ”ĐŸĐ»ĐŸĐłĐžŃ‡Đ”ŃĐșĐŸĐłĐŸ ŃŃ‚Ń€ĐŸĐ”ĐœĐžŃ – ĐżŃ€ĐŸĐ”ĐșŃ‚ĐœŃ‹Ń… ĐŸŃ€ĐłĐ°ĐœĐžĐ·Đ°Ń†ĐžĐč Đž Đ“ĐžĐšĐŸĐČ.We express our profound gratitude to A.B. Naizabekov for his assistance in scientific research, to A.F. Tsekhovoy, P.A. Tsekhovoy, D.Sh. Akhmedov, V. V. Yankovenko and D.V. Nikitas for scientific advice in implementation of the program code. The research was carried out within the framework of the initiative research theme “Improving the Efficiency of Mining Enterprises” on the basis of the RSE at the Rudny Industrial Institute of the Ministry of Education and Science of the Republic of Kazakhstan

    Integration of knowledge-based system, artificial neural networks and multimedia for gear design

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    Design is a complicated area consisting of a combination of rules, technical information and personal judgement. The quality of design depends highly on the designer's knowledge and experience. This system attempts to simulate the design process and to capture design expertise by combining artificial neural networks (ANNs) and knowledge based system (KBS) together with multi-media (MM). It has been applied to the design of gears. Within the system the knowledge based system handles clearly defined design knowledge, the artificial neural networks capture knowledge which is difficult to quantify and multi-media provides a user-friendly interface prompting the user to input information and to retrieve results during design process. The finished system illustrates how features of different Artificial Intelligence techniques, KBS, ANNs and MM, are combined in a hybrid manner to conduct complicated design tasks

    Video Data Visualization System: Semantic Classification And Personalization

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    We present in this paper an intelligent video data visualization tool, based on semantic classification, for retrieving and exploring a large scale corpus of videos. Our work is based on semantic classification resulting from semantic analysis of video. The obtained classes will be projected in the visualization space. The graph is represented by nodes and edges, the nodes are the keyframes of video documents and the edges are the relation between documents and the classes of documents. Finally, we construct the user's profile, based on the interaction with the system, to render the system more adequate to its references.Comment: graphic

    Automated user modeling for personalized digital libraries

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    Digital libraries (DL) have become one of the most typical ways of accessing any kind of digitalized information. Due to this key role, users welcome any improvements on the services they receive from digital libraries. One trend used to improve digital services is through personalization. Up to now, the most common approach for personalization in digital libraries has been user-driven. Nevertheless, the design of efficient personalized services has to be done, at least in part, in an automatic way. In this context, machine learning techniques automate the process of constructing user models. This paper proposes a new approach to construct digital libraries that satisfy user’s necessity for information: Adaptive Digital Libraries, libraries that automatically learn user preferences and goals and personalize their interaction using this information

    The memory space: Exploring future uses of Web 2.0 and mobile internet through design interventions.

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    The QuVis Quantum Mechanics Visualization project aims to address challenges of quantum mechanics instruction through the development of interactive simulations for the learning and teaching of quantum mechanics. In this article, we describe evaluation of simulations focusing on two-level systems developed as part of the Institute of Physics Quantum Physics resources. Simulations are research-based and have been iteratively refined using student feedback in individual observation sessions and in-class trials. We give evidence that these simulations are helping students learn quantum mechanics concepts at both the introductory and advanced undergraduate level, and that students perceive simulations to be beneficial to their learning.Comment: 15 pages, 5 figures, 1 table; accepted for publication in the American Journal of Physic

    Security by Spatial Reference:Using Relative Positioning to Authenticate Devices for Spontaneous Interaction

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    Spontaneous interaction is a desirable characteristic associated with mobile and ubiquitous computing. The aim is to enable users to connect their personal devices with devices encountered in their environment in order to take advantage of interaction opportunities in accordance with their situation. However, it is difficult to secure spontaneous interaction as this requires authentication of the encountered device, in the absence of any prior knowledge of the device. In this paper we present a method for establishing and securing spontaneous interactions on the basis of emphspatial references that capture the spatial relationship of the involved devices. Spatial references are obtained by accurate sensing of relative device positions, presented to the user for initiation of interactions, and used in a peer authentication protocol that exploits a novel mechanism for message transfer over ultrasound to ensures spatial authenticity of the sender
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