This paper deals with the study of roller speed and roll diameter in different operations such as Twin Roll Casting (TRC), Hot Rolling, Cold rolling etc. The study includes effect on residual stress, rolling force, heat transfer, friction coefficient, strain rate, Vonmises stress, plastic strain, contact pressure etc. the effect of rolling speed and roll diameter is summarized with study carried by past researches

Integration of renewable energy based distributed generation (DG) units in power distribution systems has drawn the attention of power engineers in the recent past. In this paper, a methodology has been proposed based on Artificial Bee Colony (ABC) algorithm for optimal allocation of wind-based DG units in the distribution system so as to minimize the power loss and voltage profile improvement. The uncertainties in wind-power based generation are taken into account by employing a probabilistic approach for optimal allocation and sizing of DG units. The problem of determining the optimal location and size for distributed generators (DG) to improve the voltage profile and to minimize total system real power loss is converted into an optimization problem and ABC algorithm is used to solve it. The effectiveness of the proposed method is evaluated on standard IEEE-30 bus and 118-bus radial distribution systems under different operating conditions.

The field of education has witnessed rapid technological advances in recent years due to IT. This study examines students’ attitudes toward learning using IT-based platforms such as smartphones and other smart IT devices by conducting a cross-cultural analysis of high school students in the U.S. and China. Students generally had slightly unfavorable attitudes toward smart devices, with U.S. students significantly less likely to favorably view smart devices for learning than their Chinese counterparts. Students generally emphasized enjoyable content as the most important educational factor, followed by content quality. content availability, and effective interface, in that order. U.S. students identified content quality as the most important educational factor, whereas Chinese students identified enjoyable content. These results have important policy and practical implications.

Improving daylighting strategy is a mandatory pace to achieve visual pleasure and energy reduction in buildings. Daylighting optimization make surethat indoor healthier rooms, reduceselectric light consumption as well as cuts the risk of glare. Natural light is irreplaceable ever since it is a fullspectrumlights, it changes during the day in addition to differ every day of the year. A variableillumination all through the day, in terms of intensityas well as colour temperature, creates dynamic indoorenvironments so as toare more pleasant meant forhuman being.To improve the qualityof light, of visual comfort advanced daylightingsystems along with external shadings using.Architect can design in favour of their building alone. If nearbyan additional building located means that angle as well as distance will affect our building neither we cannot predict or control that. Consequently in this research, reflecting angles setup designed in different point of view by means of Artificial Neural Networks.

Pervious concrete is a special high porosity concrete used for flatwork applications that allows water from precipitation and other source to pass through there by Reducing the Runoff from a site and Recharging Ground Water Levels. Compressive Strength, Tensile Strength and infiltration test are included in properties of Pervious Concrete. This paper mainly focuses on the Compressive Strength and tensile Strength of pervious concrete. Experimental methodology and results has been discussed for both these properties of pervious concrete. The pervious concrete has a low compressive strength to increase the compressive strength fly ash is added and the strength of the concrete is increased and investigation is be carried out at a regular interval of 7,14 and 28 days at a concrete mix proportion is 1:4.5 and with the addition of fly ash of 20% and 30%. The infiltration test is also conducted to measure the water infiltration rate.

The impact loads on structures such as accidental effect from transportation, blasting, gunshots, projectile impact from terrorist attacks can cause a structure to sudden failure. So there is a need of dynamic loading design instead of static loading for the structures to save many lives. The numerical technique is the better economical way than experimental technique to predict the possible failure mode of concrete members subjected to impact loading. The present analytical study is to investigate the behaviour of concrete structural elements subjected to impact loading by using finite element analysis software AUTODYN 12.0.1. The structural elements such as cube, cylinder and beam were modelled and low velocity impact loading was applied to examine the compression, tension and flexural behaviour of concrete elements subjected to impact loading. The damage level was monitored and the Energy absorption capacity (toughness index) of t h e s t r u c t u r a l elements were d e t e r m i n e d and presented.

Curing is a process which protects the concrete from loss of moisture. Maintaining optimum moisture in the concrete can enhance the strength of concrete and also avoid the crack formation. In the conventional method curing is done manually which is a tedious and expensive process. In the present study, an attempt in lab scale level has been made to fully automised curing process using pumps and sensors. This process minimized the labor involved in the curing process. An optimum moisture level of 80% was achievable throughout the curing process.Curing is usually done in two major methods on site, splashing water on the concrete formation manually using hand held hose pipes or using some sort of textile cover that retains the water sprayed for a period of time, like a jute bag or hessian. These methods have their own disadvantages like they are expensive and use more quantity of water. This is where the idea of AUTOMATED CURING PROCESS is put to use. Spraying water on the concrete formation using water pump, sensors, microcontroller, thus making it a fully automated process.

Soft soils were clay soils found in many parts of the world. The clay soils possess excessive heave, low shear strength, internal erosion, swell shrink behaviour and poor drainage properties etc. When compared to other type of soils, the strength development of soft soil is time dependent. General construction problems in this soil deposit were insufficient bearing capacity, excessive post construction settlement and instability on excavation and embankment forming. The engineering characteristics on soft soil were well documented through researches and field trials. One of the possible solutions to overcome the undesirable properties of clayey soil is chemical stabilization to modify its characteristics by addition of admixtures like lime, cement, polymers, flyash, polystyrene etc. The easily available additives among them were lime and fly ash. Stabilization of soils is essential for utilizing existing ground for various construction purposes. This paper represents the results of geotechnical investigations on lime treated and fly ash treated clay soil from a part of Kerala. Dosage of lime as well as fly ash applied in the order was 2%, 4%, 6%, 8% and 10% by weight. Laboratory experiments were done after a curing period of 7 days. Various tests including consistency limits, unconfined compressive strength tests, proctor compaction tests, permeability tests and California bearing ratio tests were conducted on the untreated, lime-treated and fly ash-treated soils. The optimum dosage of lime and fly ash required for the satisfactory stabilization of clay soils is acquired by the end of test results. The test results also indicated that the addition of lime to clayey soil was more effective in improving the properties than the addition of fly ash.

Data Clustering is a standout amongst the most vital issues in information mining and machine learning. Bunching is an assignment of finding homogenous gatherings of the examined articles. As of late, numerous analysts have a massive enthusiasm for creating grouping calculations. The most issue in the grouping is that we dont have earlier data learning about the given dataset. Besides, the decision of info parameters, for example, the number of groups, the number of closest neighbors and different factors in these calculations make the bunching progressively challengeable subject. In this way, any of the base decision of these parameters yields poor grouping outcomes. Moreover, these calculations experience the ill effects of inadmissible precision when the dataset contains bunches with various complex shapes, densities, sizes, clamor, and exceptions. In this theory, we propose another methodology for unsupervised bunching assignment. Our methodology comprises of three periods of tasks. In the main stage, we utilize the most broadly utilized bunching method which is K-means calculation for its effortlessness and speed by. We advantage just from one keep running of K-means, despite its exactness, to find and break down the given dataset by getting fundamental bunches to guarantee intently gathering sets. The second stage takes these underlying gatherings for preparing them in a parallel design utilizing contracting dependent on the arched frame of the underlying gatherings. From the second stage, we get many sub-bunches of the given dataset. Henceforth, the third stage considers these sub-groups for combining process dependent on the Delaunay triangulation. This new calculation is named as Kmeans-Based Convex Hull Triangulation grouping calculation (KBCHT). We present examinations that give the quality of our new calculation in finding bunches with various non-arched shapes, sizes, densities, commotion, and anomalies even though the awful introductory conditions utilized in its first stage. These tests demonstrate the predominance of our proposed calculation when contrasting and most contending calculations.