The study area has been located in the Zagros Mountains, south west Iran. Ghare, Maharlu and Sarvestan faults are the most important faults in the area. These faults form the southern, northern and eastern boundaries of the Maharlu plain respectively. Kinematic mechanisms of these faults are the important effects in the structural evolution of the Maharlu Lake. The Geomorphic indices including stream length–gradient index (SL), mountain front sinuosity (Smf), valley floor width to valley height ratio (Vf), basin shape index (Bs), and Basin asymmetry factor (Af) have been evaluated for determination of various tectonic activities in the area. Based on the quantitative amounts of each index, density distribution map of various parameters were prepared along the mentioned faults. In order to understand the amounts of tectonic activity, each of these indices were classified into three standards groups. Results of the amounts of tectonic activity indices (Iat) and overlied data layer show more tectonic activity in the eastern parts and especially in the contacts of Maharlu and Sarvestan faults. Morphotectonic comparisons of faults reveal that the sarvestan fault and the central part of Ghare faults are more active than other parts of the study are.

Learning is considered one of the most important mental functions of humans, animals and artificial cognitive systems.  Learning is considered as the acquisition of new behavior which the people acquire frequently. Students learn in many ways, and teachers differ in instructional methods. Nevertheless, both students and teachers share the same goal to reach optimal learning. Educational programs and courses that are responsive to diverse student populations and their individual differences are essential. The aim of the study is to identify the learning approaches adopted by engineering students. The study is descriptive in nature and adopted survey strategy. Data was collected using a questionnaire from the final year post graduate female engineering students in Coimbatore city. The collected data was analyzed using percentage analysis, descriptive statistics and Correlation analysis

The use of membrane processes is wide nowadays and the emphasis on the elimination of problems arising from the application of these processes is increasing. In membrane processes a fairly serious problem is concentration polarization and the associated membrane fouling. This effect can be suppressed or even removed by several methods. One of the methods used and studied is injection of air into the microfiltration device. In our experiments the influence of pressure, gas flow and suspension concentration on the flow patterns through membrane device with membrane replaced by transparent PVC tube was studied. Measurements were made with distilled water, suspensions of zeolite from Nižný Hrabovec (SK) at different concentrations. The pressure and gas flow were varied at each suspension concentration. The changes in the flow patterns were monitored. In experiments slug flow occurred under the most of the conditions though. Based on the experimental results it can be concluded that the injection of air into the suspension can be very important in reducing membrane fouling.

Generally automatic welding process is applied for many manufacturing areas which included pressure vessel fabrication, production of offshore structures and the nuclear industry. More recently, products of piles and columns to support wind turbines have significantly been grown in importance. However, an intelligent algorithm that predicted the optimal bead geometry and accomplishes the desired mechanical properties of the weldment in the robotic GMA(Gas Metal Arc) welding should be developed. The algorithm should also cover a wide range of material thicknesses and be applicable for all welding position. In addition, the proposed model for the automatic welding system must be available in the form of mathematical equations. In this study, an intelligent model which employed the neural network algorithm, one of AI (Artificial Intelligence) technologies were developed to study the effects of welding parameters on bead width and predict the optimal bead width for lap joint in the robotic GMA welding. BP(Back-Propagation) and LM(Levenberg-Marquardt) neural network algorithm were used to develop the intelligent model. Not only the fitting of these models were checked and compared by using variance test, but also the prediction on bead width using the developed models were verified.

This project is made for Universities students in Malaysia to do their transporter business. This Uni-Transporter Finder4U can provide them to gain more customer especially student who live in campus. This project is being done in peninsular of Malaysia. This project use universities and mosques as centre of network for this system. A part of that, people of masjid can volunteer their selves to become a transporter. This project is also made to help poor people and the needy that need any transportation services. In addition the donor can donate their money to help the poor people to get into transporter. With this transporter finder application, people can easy to get transportation service anywhere with the cheap price, trusted driver and comfortable services.

Remote remaking in a remote sensor zone (WSN) is the path toward sending one more code picture or commands to sensor centers. Although all current dubious/secure recreating traditions rely on upon the concentrated approach, it is basic to support coursed rehashing in which variously endorsed framework customers can in the meantime and especially sensor centers are examined again without the inclusion of base station. Recently, a new secure and scattered recreating tradition known as SDRP has been introduced. Regardless, this paper recognizes a natural arrangement a gap in the customer pre-processing time of SDRP and shows that it is susceptible towards an emulate attack than can allow the enemy to extend mirror any endorsed customer to finish re-examining. This paper proposes a clear acclimation for settlement of the perceived security issue without compromising on any components of SDRP.Our objective to moreover upgrade the security and adequacy of SDRP using Diffie-Hellman.

Zeolites are microporous alkaline hydrated  aluminosilicate crystals, which include both natural and synthetic varieties. Natural zeolites can grow in cavities of igneous rocks from natural hydrothermal solutions. The idea that zeolite crystals have potential applications in numerous areas of scientific, industrial and agricultural technology has provided impetus for research and development programs that have been carried out in several countries. Experimental methods for characterization of zeolite includes, X-ray diffraction, Infrared spectroscopy (IR), Chemical analysis, Scanning electron microscopy (SEM), Nuclear magnetic resonance spectroscopy (NMR) etc.

The most recent couple of years, as the utilization of web were expanding immensely the development and advancement of a dynamic research stream on a large variety of online Social Media Network (SMN) started. The SMN turns out to be the best stage for data recovery. The essential purpose of this project is to secure the clients login and data sharing among the relational associations like Gmail, Facebook and besides find anonymous clients using this systems. In case the main client not available in the system, but instead their friends or unknown client knows their login purposes means possible to manhandle their chats. This project has to beat the anonymous client using the system without unique client knowledge. Unauthorized client utilizing the login to chat, share pictures or recordings and so on. This is the issue to be overcome in this project .In this paper, we develop a system Friend Relationship-Based User Identification (FRUI) calculation for mapping individuals on cross application SMN's. The friend cycle of every individual differences therefore, accuracy of our result will be kept up if we use partner list as a key section to analyze cross application on the web. Moreover focus is on using two more systems to improve capability of our algorithm. Our review has shown that FRUI is effective to research and de-anonymize web based systems administration

Power engineers and energy planners require accurate electric load demand forecasts for efficient load dispatch, good generation mix and generation planning. Load forecasting using traditional statistical methods is often difficult because a number of non-linear factors interplay to produce the final result. Artificial Neural Networks (ANNs) may be a good candidate to perform load forecasting, with proper training using appropriate learning data and algorithms, since they tolerate non-linear inputs. In this paper, we propose  to use load demand data in megawatts (MW) from Kenya Power Company’s connected customers in Nairobi region measured half-hourly over a period of one year (January to December 2014) to appropriately develop ANN models, train them and validate the data for the purpose of predicting the next day’s load demand for seven consecutive days. Other variables used are day type and the month of the year. Three ANN models were used in this research namely: Multilayer Perceptron, Linear Network and Pattern Recognition Network. The best model is one that will give the least Root Mean Square Errors (RMSEs). The results of the predictions have given an indication of how ANN models may be used to forecast electric load demand in a given area under constraints of several intervening factors. Accurate predictions may save important operating costs for Kenya Power Company. The result of this study may be useful to the Ministry of Energy (for planning purposes) and Kenya Generating Company for economic load dispatch decisions.

This paper proposed a one-stop service platform focus on booking for guiding and coaching, online consulting regarding fitness and wellness of climbers, trip and event organizer and provide certificate from South East Asia Climbing Federation named Lunar Climbing Adventure Consultant (LCAC). This system has the ability to book a climbing session based on package provided. This system provides a platform for advertising a trip or event where the organizer need to sign up as member based on terms and conditions.

The present work aims at a deeper insight into the effect of cement replacement by silica fume in concrete over a wide range of water-cementitious material ratios and silica fume replacement percentages. Concrete is a widely used construction material for various types of structures due to its structural stability and strength. The usage, behaviour as well as the durability of concrete structures, built during the last first half of the century with ordinary portland cement (opc) and plain round bars of mild steel, the ease of procuring the constituent materials (whatever may be their qualities) of concrete and the knowledge that almost any combination of the constituents leads to a mass of concrete have bred contempt. Strength was stressed without a thought on the durability of structures. As a consequence of the liberties taken, the durability of concrete and concrete structures is on a southward journey; a journey that seems to have gained momentum on its path to self– destruction [1]. The ordinary portland cement (opc) is one of the main ingredients used for the production of concrete and has no alternative in the civil construction industry. Unfortunately, production of cement involves emission of large amounts of carbon-dioxide gas into the atmosphere, a major contributor for green house effect and the global warming, hence it is inevitable either to search for another material or partly replace it by some other material [2]. There are many important parameters which need to be studied in detail. The isolated effect of silica fume in concrete and the optimum silica fume replacement percentage causes the detailed investigations to ensure the maximum utilization of silica fume in concrete [8].

Maintenance, repair and rehabilitation of existing cement concrete structures involve a lot of problem leading to significant expenditure. In the recent past, there has been considerable attention for improving the properties of concrete with respect to strength and durability, especially in aggressive environments .High strength concrete (HSC) appears to be better choice for a strong and durable structure. Suitable addition of mineral admixtures such as silica fume (SF) and rice husk ash (RHA) in concrete improves the strength and durability of concrete due to considerable improvement in the microstructure of concrete composites, especially at the transition zone. Very few studies have been reported  on the use of SF and RHA for development of high strength concrete and also durability characteristics of these mixes have not been reported . In order to make a quantitative assessment of different cement replacement levels with SF and RHA on the strength and durability properties for M70 grades of HSC trial mixes and to arrive at the maximum levels of replacement of cement with SF and RHA, investigations were taken. Requirement of proper curing is essential otherwise micro cracks will appear on the surface of concrete.

This paper reports on the performance of HSC trial mixes having different replacement levels of cement with SF and RHA. The strength and durability characteristics of these mixes are compared with the mixes without SF and RHA. Compressive strengths of concrete at7day, 14 days and 28days were obtained by using varoius replacement of cement with SF and RHA.

The objective of this study is to develop the best economic solution by blending of recycled concrete aggregates for use in base coarse construction. Therefore,  the  objective  of  this  project  is  to  investigate  the  properties  of blended  Recycled Concrete  Aggregate  including optimum moisture content, maximum dry density, and bearing strength.. For  determining  the  above  properties, the blending of  the  recycled  aggregate has been done in different proportions of 100 %, 90%, 80%, 70%, 60%, and 50%  recycled concrete aggregate  with the varying percentage of sand. Laboratory trails were conducted to investigate the possibility of using percentage of recycled concrete aggregate (100%, 90%, 80%, 70%, 60%, and 50%) with 3% and 5% of cement to replace the part of sand in mix. The heavy compaction tests were conducted to determine the optimum moisture content and dry density of the recycled aggregates. California bearing ratio (CBR) tests were conducted at optimum moisture content.

At present, large quantity of fly ash is being dumped in slurry form in large areas close to the power plants without being put to gainful use in India. Only a very small percentage (<35%) of fly ash generated in India is being used for gainful applications whereas the corresponding figures of other countries may vary from 60 to 100%^[2].

Although fly ash offers environmental advantages, it also improves the performance and quality of concrete. Fly ash affects the plastic properties of concrete by improving workability, reducing water demand, reducing segregation and bleeding, and lowering heat of hydration. Fly ash increases strength, reduces permeability, reduces corrosion of reinforcing steel, increases sulphate resistance, and reduces alkali-aggregate reaction. Fly ash reaches its maximum strength more slowly than concrete made with only portland cement. The techniques for working with this type of concrete are standard for the industry and will not impact the budget of a job. So as a Civil Engineer we should effectively try to use fly ash in construction, as it helps in saving environment with reduced construction cost along with many other advantages, but now question rises to what extent or percentage fly ash could be used in concrete for construction works, and to answer this present study have been made. The scope of present study aims at providing the M40 concrete with an optimum quantity of fly ash content that could be used in structural work/ road construction with acceptable strength values such that the cost of construction may be reduced to a great extent. Moreover, it also helps in reducing  the harmful impact of fly ash on environment.

Two percent of the water on earth is glacier ice at the North and South Poles. This ice is fresh water and could be melted; however, it is too far away from where people live to be usable.

Less than 1% of all the water on earth is fresh water that we can actually use. We use this small amount of water for drinking, transportation, heating and cooling, industry, and many other purposes.

The fresh water used by per capita per day is 20 percent and rest 80 percent gets wasted. This waste water must be treated so as to reuse of waste water. Thus Sewage Treatment Plants are constructed to get clean water out of the waste water. Sewage Treatment can be done by different several technologies. But the latest technology nowadays used is Sequential Batch Reactor (SBR).

The object of this project is to represent the information regarding Sewage Treatment Plant integrated with latest treatment technology named as Sequential Batch Reactor (SBR). We will discuss about Technologies and its useful Management along with their Results.

The fly ash consist primarily of silica, alumina and iron. Fly ash is a waste by-product material that must be disposed off or recycled. The foundry sand is also a waste by product of  metal foundries. When the sand can no longer be reused in the foundry, it is removed from the foundry and is termed as “Foundry Waste Sand”. Foundry sand is high-quality uniform silica sand that is used to make moulds and cores for ferrous and non-ferrous metal castings. The metal casting industry annually uses an estimated 100 million tons of foundry sand for production [26]. Over time, foundry sand physically degrades until they are no longer suitable for moulds. Consequently, 9 to 10 million tons of sand are discarded each year. So the fly ash and foundry sand is available abundantly, they are the waste materials that are not easily disposed and require more land to dispose. Hence it is essential to make the efforts to utilize these by product in concrete manufacturing in order to make the concrete more environmental friendly.