مقاله: Shading Effects on Reducing Annual Cooling Loads in Tehran Climate

Nasim Eslami Rad (Master Student of Imam Khomeini International University,Qazvin, Iran)
Yousef Gorji Mahlabani (Associate Professor of Imam Khomeini International University,Qazvin, Iran)

Abstract:

Buildings in Iran require large amounts of energy both for cooling and heating. This article has outlined the factors of shading louvers influencing cooling loads. With this in mind, a study is done on the thermal performance of a louver shading on office building in Tehran by simulation and different factors of shading models for windows was incorporated in our simple model. With the goal of achieving reduction of solar gain in summer; annual cooling and heating loads analysis has been done. In these simulations different factors are variable; these factors are louver’s material, number, angel, vertical space, depth and overlap. It was found that at first different factors has been studied to determine the most important factor of such systems in the Tehran region of Iran and secondly tried to decrease cooling loads in summer by decreasing solar gains.

مقاله: Evaluation of new Hexagrid Structural System in Bionic high-rise Buildings

Mohsen Rostami (master of structure engineering, faculty of technical Islamic Azad university south Tehran branch , Tehran , Iran)
Kaveh Ghoochani (master of structure engineering, faculty of technical Islamic Azad university south Tehran branch , Tehran , Iran)
Fatemeh Gorji sinaki (master of earthquake engineering, faculty of technical Islamic Azad university south Tehran branch , Tehran , Iran)
Abdolreza S.Moghadam (International institute of Earthquake and seismology department of civil engineering ,Tehran, Iran)

Abstract:

The most important issue in the design of high-rise buildings is the lateral load system that accordingly, the selection of a structural systems that can ductility, stiffness, and sufficient resistance based on valid regulations provide is the most important principle in the field of high-rise building because the parameters of stiffness, ductility and structural resistance system will change with variation the type of lateral load systems a relatively large amount. therefore, in this study, new structural system have been extended that nominated new Hexagrid, three structural systems tube and diagrid and new Hexagrid in similar structures (in plan, height, loading, etc) with 30 floors has been modelled in software ABAQUS and SAP2000 and after the calculation of earthquake factors on structures mentioned by program written in MATLAB based on 2800 regulation. Analysis of static and liner dynamic and nonlinear static (pushover), respectively is done on structures 30 floors of the diagrid and tube and new hexagrid , finally after analysing of 3 structure studied, the advantages and disadvantages and relative superiority of the three systems lateral load in structures mentioned based on stiffness parameters, relative displacement, ductility and resistance compared with each other. the importance of this comparison is that based on its finding can be determined the system suitable lateral load based on the seismic hazard at the site of construction. The results of the above analysis show that the new Hexagrid structures, have stiffness higher than the tube and Diagrid structures but its plasticity is lower than that other system.

مقاله: The study of Data Mining issue in the Medical field (مطالعه موضوعی داده کاوی در زمینه پزشکی)

Kobra Khoshraftar (Master student of Computer Engineering, Software Engineering, Islamic Azad University of Chalous, Mazandaran, Iran)
Ali Vahid Roudsari (Graduated Master of Information Technology, Computer Networks, University of Guilan, Rasht, Guilan, Iran)
Saba Omidfar (Master student of Computer Engineering, Software Engineering, Ghaem Technology Of Higher Education)
Parichehr Turkmen (Master student of Computer Engineering,, Iran University of Science and Technology)

Abstarct:

Data mining has been played an important role in the intelligent medical systems. Data mining has revealed novel biomedical and healthcare acquaintances for clinical decision making that has great potential to improve the treatment quality of hospitals and increase the survival rate of patients. Disease diagnosis is one of the applications where data mining tools are establishing the successful results. There is a wealth of data available in healthcare but there is no effective analysis tool to discover hidden relationships in data. Although millions of people die of heart disease annually, application of data mining techniques in heart disease diagnosis seems to be essential. Discovered Knowledge can help physicians in diagnosis of heart disease. In this paper, we consider a comprehensive review of data mining issue in the medical field and Data mining application in the diagnosis and treatment of heart disease.