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Modeling of Artificial Intelligence, 2014, Vol.(3), № 3 Modeling of Artificial Intelligence, 2014, Vol.(3), № 3 Modeling Modeling of Artificial Intelligence Has been issued since 2014. ISSN 2312-0355 2014. Vol.(3). № 3. Issued 4 times a year EDITORIAL STAFF Simonyan Arsen – Sochi State University, Sochi, Russian Federation (Editor-in-Chief) Dreizis Yurii – Sochi State University, Sochi, Russian Federation Makarova Irina – Sochi State University, Sochi, Russian Federation Simavoryan Simon – Sochi State University, Sochi, Russian Federation Ulitina Elena – Sochi State University, Sochi, Russian Federation EDITORIAL BOARD Dr. Belyavskii Grigorii – Southern Federal University, Rostov-on-Don, Russian Federation Dr. Chitsyan Robert – Armenian National Agrarian University, Yerevan, Armenia Dr. Oganyan Viktor – Yerevan State University, Yerevan, Armenia Dr. Popov Georgii – Astrakhan State Technical University, Astrakhan, Russian Federation Dr. Ravindranath Cherukuri – Gyan Ganga Institute of Technology and Management, Gyan Ganga, India Dr. Saakyan Vladimir – Institute for Informatics and Automation Problems of the National Academy of Sciences, Yerevan, Armenia Dr. Yicong Zhou – University of Macau, Macau, China The journal is registered by Federal Service for Supervision of Mass Media, Communications and Protection of Cultural Heritage (Russia). Registration Certificate ПИ № ФС77-57043 25.02.2014. ing of Artificial Intelligence Journal is indexed by: CiteFactor, CrossRef, EBSCOhost Electronic Jornals Service, Journal Index, Научная электронная библиотека, Open Academic Journals Index, Sherpa Romeo. Model All manuscripts are peer reviewed by experts in the respective field. Authors of the А manuscripts bear responsibility for their content, credibility and reliability. Editorial board doesn’t expect the manuscripts’ authors to always agree with its opinion. 2014 Postal Address: 26/2 Konstitutcii, Office 6 Passed for printing 15.09.14. 354000 Sochi, Russian Federation Format 21 29,7/4. № 3 Enamel-paper. Print screen. Website: http://ejournal11.com/en/index.html E-mail: [email protected] Headset Georgia. Ych. Izd. l. 5,1. Ysl. pech. l. 5,8. Founder and Editor: Academic Publishing House Researcher Circulation 500 copies. Order № 103. 201 © Modeling of Artificial Intelligence, 2014 № 0 1 85 Modeling of Artificial Intelligence, 2014, Vol.(3), № 3 Моделирование искусственного интеллекта Издается с 2014 г. ISSN 2312-0355 2014. № 3 (3). Выходит 4 раза в год. РЕДАКЦИОННАЯ КОЛЛЕГИЯ Симонян Арсен – Сочинский государственный университет, Российская Федерация (Гл. редактор) Дрейзис Юрий – Сочинский государственный университет, Российская Федерация Макарова Ирина – Сочинский государственный университет, Российская Федерация Симаворян Симон – Сочинский государственный университет, Российская Федерация Улитина Елена – Сочинский государственный университет, Российская Федерация РЕДАКЦИОННЫЙ СОВЕТ Белявский Григорий – Южный федеральный университет, Ростов-на-Дону, Российская Федерация Оганян Виктор – Ереванский государственный университет, Ереван, Армения Попов Георгий – Астраханский государственный технический университет, Астрахань, Российская Федерация Равиндранатх Черикури – Гьян Ганга Институт технологии и управления, Гьян Ганга, Индия Саакян Владимир – Институт проблем информатики и автоматизации национальной академии наук, Ереван, Армения Читсян Роберт – Армянский национальный аграрный университет, Ереван, Армения Юконг Жоу – Университет Макао, Макао, Китай Журнал зарегистрирован Федеральной службой по надзору в сфере массовых коммуникаций, связи и охраны культурного наследия (Российская Федерация). Свидетельство о регистрации средства массовой информации ПИ № ФС77-57043 от 25.02.2014 г. Журнал индексируется в: CiteFactor (США), CrossRef (США), EBSCOhost Electronic Jornals Service (США), Journal Index (США), Научная электронная библиотека (Россия), Open Academic Journals Index (Россия), Sherpa Romeo (Испания). Статьи, поступившие в редакцию, рецензируются. За достоверность сведений, изложенных в статьях, ответственность несут авторы публикаций. Моделирование искусственного интеллекта Мнение редакции может не совпадать с мнением авторов материалов. 2014 Адрес редакции: 354000, Российская Федерация, Подписано в печать 15.09.14. г. Сочи, ул. Конституции, д. 26/2, оф. 6 Формат 21 29,7/4. Сайт журнала: http://ejournal11.com/ Бумага офсетная. E-mail: [email protected] А Печать трафаретная. Учредитель и издатель: ООО «Научный Гарнитура Georgia. 3 издательский дом "Исследователь"» - Academic Уч.-изд. л. 5,1. Усл. печ. л. 5,8. № Publishing House Researcher Тираж 500 экз. Заказ № 103. © Modeling of Artificial Intelligence, 2014 86 Modeling of Artificial Intelligence, 2014, Vol.(3), № 3 C O N T E N T S Farida N. Khusnutdinova, Mikhail V. Tsapenko Economical Habits in the Use of Energy Resources …………………………………………………… 88 Victor V. Kovalenko, Vladimir V. Kovalenko, Leonid M. Kanaev, Natalja Y. Kulavina, Galina A. Shashkina Three-Dimensional Modeling of Printed Board Assembly on the Basis CAD DipTrace ……………………………………………………………………………………… 92 Gennady Ya. Krasnikov, Igor V. Matyushkin, Sergey V. Korobov Visualization of Cellular Automata in Nanotechnology ………………………………………………. 98 Tamara L. Salova Virtual Reality: Peculiarities and Opportunities ………………………………………………………… 121 Victor I. Samarin Composite Principal-Dual Simplex Method for Linear Programming Solving ……………………………………………………………………………… 126 Alisa S. Simavoryan, Simon Zh. Simavoryan System and Conceptual Approach in Public Relations ……………………………………………….. 133 Victor Ya. Tsvetkov Conclusions of Intellectual Systems …………………………………………………………………………. 138 87 Modeling of Artificial Intelligence, 2014, Vol.(3), № 3 Copyright © 2014 by Academic Publishing House Researcher Published in the Russian Federation Modeling of Artificial Intelligence Has been issued since 2014. ISSN: 2312-0355 Vol. 3, No. 3, pp. 88-91, 2014 DOI: 10.13187/mai.2014.3.88 www.ejournal11.com UDC 332 Economical Habits in the Use of Energy Resources 1 Farida N. Khusnutdinova 2 Mikhail V. Tsapenko 1-2 Samara State Aerospace University, Russian Federation 1 Graduate student E-mail: [email protected] 2 PhD (Economy), Associate Professor E-mail: [email protected] Аbstract One of the main conditions in transition to sustainable social and economic development for the entity of the Russian Federation is a significant increase of energy efficiency of the region’s economy. Energy saving is a key factor for energy efficiency increase, economic efficiency and economical safety of the region as well as its industrial enterprises and complexes. Keywords: energy efficiency; energy saving; energy security; energy efficiency of the economy; energy-efficient society. Введение Несмотря на все более широкое распространение энергосберегающих и энергоэффективных технологий в последнее время, во всем мире прогнозируется, что будет происходить рост энергопотребления. Это связывают, прежде всего, с двумя факторами – ростом численности населения и повышением качества жизни. Однако прирост и концентрация населения будет наблюдаться только в отдельных регионах и территориях, таких как Латинская Америка и Юго-Восточная Азия, которые и будут основными потребителями энергии. Вследствие того, что пик роста населения пройдет, рост энергопотребления произойдет только за счет повышения уровня жизни населения [1]. Исходя из этого тезиса необходим поиск компромисса между высоким качеством жизни и бережливости в отношениях к природным ресурсам. Этой проблеме посвящен очередной доклад Римскому клубу – «Фактор четыре. Удвоение богатства, двукратная экономия ресурсов» [2]. Со времени промышленной революции прогресс был связан в первую очередь с увеличением производительности труда. Доклад «Фактор четыре» предлагает новый подход к прогрессу, ставя во главу угла увеличение продуктивности ресурсов – «предприятия должны избавляться от непродуктивных киловатт-часов, тонн и литров, а не от своих работников» [2, с. 16]. Как утверждают авторы доклада, население планеты может жить в два раза лучше и в то же время тратить в два раза меньше ресурсов, что необходимо для устойчивого развития человечества в будущем. Решение заключается в том, чтобы использовать топливно-энергетические ресурсы более эффективно. Таким образом, путь к процветанию экономик стран мира лежит через «революцию в эффективности». 88 Modeling of Artificial Intelligence, 2014, Vol.(3), № 3 В Российской Федерации «революция в энергоэффективности» начала свой новый виток с Указа Президента Российской Федерации от 04.06.2008 г. №889, в соответствии с которым энергоемкость ВВП России должна быть снижена на 40% к 2020 году по отношению к уровню 2007 года. Реализация поставленной цели базируется на трех ключевых документах: Федеральном законе РФ от 23.11.09 №261-ФЗ «Об энергосбережении и о повышении энергетической эффективности», Энергетической стратегии России на период до 2030 года и Государственной программе энергосбережения и повышения энергетической эффективности на период до 2020 года. Этот Федеральный закон создает правовые, экономические и организационные основы стимулирования энергосбережения и повышения энергетической эффективности, а Государственная программа является основным инструментом практической реализации энергосбережения и повышения энергетической эффективности в России. Необходимость повышения энергетической эффективности также нашла свое отражение в главных стратегических ориентирах долгосрочной государственной энергетической политики Российской Федерации на период до 2030 года. Среди приоритетов – энергетическая безопасность, энергетическая эффективность экономики
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