VOLUME 2, ISSUE 3, MARCH 2015

Abstract: In this paper we investigate the choice of best combination of factors for 27 X 31 mixed factorial design in 16 runs through Taguchi Design Method and Response Surface Method (RSM). Further we show that Response Surface Method predicts better optimal response (9.72% more) as compared to optimum response obtained through Taguchi Design Method. The comparison of methods is done with the help Spin-on-Filter case study conducted by [1]. We use MINITAB for the analysis under both methods.  

Keywords: Spin-on-filter (SOF); Taguchi Design Method; Signal-to-noise ratio; Response Surface Method; Dynamic life of SOF; Choice of the best factors combination; ANOVA

Abstract: Cloud computing is the current technology used for sharing and accessing resources using web services or internet. It provides a scalable and cost effective environment. Large number of servers in the datacentres leads to huge consumption of power in the cloud computing scenario. Energy-related costs have become one of the major economic factors in IT datacentres, and companies and the research community are currently working on new efficient power aware resource management strategies. Optimization of power consumption is a key challenge for effectively operating a datacentre.  

Keywords: Optimization, Machine Learning, DVFS, Power Saving.

Abstract: The standard cementless femoral stems commercially available may not be the best-fit to a patient in markets like India, because of the large anatomic variation of the human hip joint among the population. This investigation presents a regional anthropometric data based design approach for the standard anatomical cementless femoral component used in total hip replacement (THR). Aseptic loosening and dislocation are the most important causes of failure of THR due to the mismatch in dimensions between the femur bone and stem. Standard cementless stems with different cross-section shapes were designed and analyzed to solve the problem of a possible geometric mismatch between a selected implant and the hip joint considering a variety of patients with differing anatomical sizes. Finite element analysis was conducted on cementless tapered stems with four different stem cross-sectional shapes - oval, trapezoidal, rectangular and wedge. Comparison of Von Mises stresses and micromotion under axial and torsional loads were made. This study indicates a need for a regional anthropometric data based design of cementless femoral stems for providing greater longevity and better recovery to patients. This novel design approach can improve the implant fixation enhancing primary stability, rigidity, longevity of the implant and relieving patients from discomfort.  

Keywords: Total hip replacement, cementless stem, mechanical stability, cross section.

Abstract: This article aims to identification and delineation the lineament in Vijayawada Guntur Tenali Mangalagiri (VGTM) Region. The total area of VGTM Region is 20130.50 sq.kms. It is assessed based on the data retrieved from Satellite Imagery, Survey of India and conventional methods. This area is under Seismic Zone-III and 26 minor lineament are been Identified by the Earthquake Engineering Research Centre (EERC), International Institute of Information Technology (IIIT), Hyderabad, India. This process involves the overlapping of different material and analysis where the lineaments exist which further leads to the demarcation of the area. This study is conducted by using gravity data, remotely sensed imagery and recent field studies. These lineaments are represented in the form of tree diagram, with linear or circular form of disturbance generated in the tectonic fractures in the earth bedrock. Furthermore, the use of these studies could be combined to focus on the lineament based on Vijayawada Guntur Tenali Mangalagiri (VGTM) region which could represent the geologically fractured area and eminently provides us with ground water potential. These studies could result in developing new dimension to understand and study the topography, drainage and vegetation patterns of earth geology for means of preserving the parcel of land and its natural resources in the form of different wetlands and ecological sensitive areas. The main barrier in the study is identifying the morphological pattern and vegetation which can be observed through satellite imageries and can be enhanced by using remote sensing spatial data. These findings can be used as a guidance for the understanding the potential of ground water availability, vegetation pattern, soil distribution along with many other environmental factors including thermal comfort zones, Heat Island Effect and ecologically sensitive areas.  

Keywords: Lineament map, Geological pattern, Hydrology potential, Vijayawada Morphology

Abstract: As we know that the normalization is a pre-processing stage of any type problem statement. Especially normalization takes important role in the field of soft computing, cloud computing etc. for manipulation of data like scale down or scale up the range of data before it becomes used for further stage. There are so many normalization techniques are there namely Min-Max normalization, Z-score normalization and Decimal scaling normalization. So by referring these normalization techniques we are going to propose one new normalization technique namely, Integer Scaling Normalization. And we are going to show our proposed normalization technique using various data sets.  

Keywords: Normalization, Scaling, Transformation, Integer Scaling, AMZD

Abstract: As Cloud Computing evolved it created an efficient way of pay per usage model for all the resources available on the network. In spite of its several advantages it has been suffering from the major drawback of providing secure communication. This paper makes an attempt to use Public Key Infrastructure (PKI) and provide secure way of communication among different branches of an organization. Each organization is implemented as a private cloud and the central branch usually where the CEO of the organization works to whom each branch needs to report is implemented as a public cloud together giving a hybrid cloud infrastructure.  

Keywords: Public Key Infrastructure (PKI), Security, Hybrid Cloud.

Abstract: Edge detection is an important technique in image processing .In this paper, a new approach to edge detection (Min Constructor - Gaussian Operator) is presented. Here the result of some traditional edge detection methods such as Sobel,Prewitt and Robert operator are compared with this new approach.  

Keywords: Edge Detection, Image processing and Min Constructor-Gaussian operator, Sobel Operator, Prewitt Operator, Robert Operator.

Abstract: A modified spatially adaptive denoising algorithm for a single image corrupted by Gaussian noise is proposed in this paper. The proposed algorithm use local statistics of a selected window i.e. by defining local weighted mean, local weighted activity and local maximum. These local statistics are used to detect the noise in the image then a modified Gaussian filter is used for noise suppression. This algorithm is tested against different images and the experimental result shows its result is better than different existing methods like Pixel Wise Median Absolute Difference (PWMAD), Rank Order Criteria (ROC), Switching-based Adaptive Weighted Mean (SAWM) and Spatially Adaptive Denoising Algorithm (SADA).  

Keywords: Gaussian Noise, Denoising, Local statistics and Gaussian filter.

Abstract: Social Sciences studies human behaviour and it is very important that the conditions under which they occurred and also to describe the behaviour accurately and correctly. Thus it becomes important to have a "measure" of behaviour, description of all factors influencing behaviour and to what extent these influence such behaviour. They provide an opportunity for others to verify these observations. It is very important to present collected data in an accurate and easy-to-understand manner through various tools like diagrams and graphs. Every object possesses some characteristic which can be used as a scale for measurement. In the past, silver, food grains etc were used as units of measurement. concepts are large in number and part do not bear the kind of simple relationships to one another like in the physical sciences and there is a lack of strong mathematical theories against which to evaluate measurements in social sciences. A proper understanding of the scales of measurement which have to be used for different kinds of variables, is thus, an essential part of social sciences research. This paper focuses on some case studies in the usage of scales of measurement in social sciences research.  

Keywords: Social Sciences research, variables, scales of measurement, case studies

Abstract: This paper describes a prototype of a wireless sensor network developed for tracking pilgrims in the Holy areas during Hajj (Pilgrimage). A delay tolerant network principle is used. Energy efficiency, robustness, and reliability are the key factors for the developed system. Every pilgrim will be given a mobile sensor unit that includes a GPS unit, a Microcontroller, antennas and a battery. A network of fixed master units is installed in the Holy area. Upon request or periodically, the sensor unit sends its UID number, latitude, longitude, and time. The close by master unit receives this information and passes it to a server that maps the latitude and longitude information on a Google map or any geographical information system. The developed system can be used to track specific pilgrims. Alternatively any pilgrim can request emergency help using the same system. The location of the person needing help will be identified on the map to make it easy for the help to reach in the most efficient way. The developed system works in coordination with an RFID identification system that was proposed earlier. The developed system was tested successfully during the recent pilgrim season.  

Keywords: WSN, Pilgrims Tracking, Hajj season, Pilgrimage, GPS, RFID.

Abstract: FaL-G is the product name given to a cementitious mixture composed of Fly ash (Fa), Lime (L) and Gypsum (G). It is low-cost and environmental-friendly material very useful in rural housing industry. Since it is manufactured using industrial wastes and by-products, the environmental impacts are mitigated. This paper addresses the technology of making compressed FaL-G paste blocks with low-calcium (Class F) dry fly ash procured from Raichur Thermal Power Plant, Karnataka and sponge iron plant Malur. The cardinal aim is to study the setting and strength characteristics of FaL-G paste. Its applicability as controlled low strength material is also ascertained. The FaL-G paste compressed cylinders were prepared without the use of conventional cement. The compressive strength of FaL-G cylinders were tested with different parameters. It was noticed that the strength of FaL-G paste increases with age and adequate to use it in making deferent composites. FaL-G paste can also be used as controlled low strength material as it has good relative flow area and adequate strength development with age.  

Keywords: fly ash, lime, Gypsum, paste, CLSM, compressive strength.

Abstract: Solar paints or conducting paints have replaced the solar panels as it requires high installation and maintenance costs. Uses of cadmium and other nano particles as fillers to efficiently conduct solar energy have been extensively reported in the literature. However, these nanoparticles have adverse effect on the environment. In the present work, literature on CNT synthesis and its use as fillers to induce conductive properties on paints is discussed in details.  

Keywords: Solar paints; CNTs; Polymers; CVD

Abstract: The present work focuses on the effect of magnesium (Mg2+) substitution on structural studies of the nanocrystalline cobalt ferrite (CoFe2O4). Nanosized magnesium doped cobalt ferrite powders with general formula Co1-xMgxFe2O4 (for x = 0.0, 0.50 and 1.0) were synthesized by sol-gel auto combustion method starting from metal nitrates and citric acid (C6H8O7) as a fuel. The prepared samples were sintered at 550 ˚C for 4 h. The structural properties were estimated from X-ray diffraction (XRD) studies. The average particle size was calculated by using Debye Scherer's formula using XRD data and is obtained to be 11-24 nm. The bulk densities (dB) of all the samples were measured using Archimedes principle. The other structural parameters such as tetrahedral bond length (dAX), octahedral bond length (dBX), tetra edge (dAXE) and octa edge (dBXE) were calculated from XRD data.  

Keywords: cobalt ferrite, nanocrystalline, sol-gel, XRD.

Abstract: Big data refers to datasets that aren't solely massive, however additionally high in variety and velocity that makes them troublesome to handle using tradition tools and techniques. Due to the rise of such Data, solutions got to be studied and provided so as to handle and extract worth and information from these datasets. Nowadays Web services are very widespread .Recommender systems represent user preferences for the aim of suggesting things to get or examine. They are many basic applications in electronic commerce and data access, providing suggestions that effectively prune massive data areas so users are directed toward those things that best meet their wants and preferences. A variety of techniques are projected for activity recommendation, including content-based, collaborative, knowledge-based and different techniques. In this paper, we are presenting "Keyword-Aware Service Recommendation Method", to deal with the above challenges. It aims at presenting a customized service recommendation list and recommending the foremost applicable services to the users effectively. Specifically, keywords area unit wont to indicate users' preferences, and a user-based cooperative Filtering algorithm is adopted to get applicable recommendations. To improve the scalability and efficiency of KASR in "Big Data" environment, the proposed system proposes techniques that have been implemented it on a Map Reduce framework in Hadoop platform.  

Keywords: Recommender system, Preference, Keyword, Big data, Hadoop, MapReduce.

Abstract: Virtual Machines (VMs) are building blocks of today's cloud computing infrastructure. VMs provide isolation across applications and services while sharing a common hardware platform. At the same time network intensive applications, such as web services/database applications, are being consolidated into single physical platform. This leads to Network I/O workloads which are dominating in many data centers. Though strict isolation between co-resident VMs ensures security and a lot of research interest is dedicated to strengthen this feature, which undermines the potential communication channels and limits maximum achievable communication throughput between co-resident VMs. Virtual Network Interface (VNI) based communication serves the purpose of transparency however traversal through entire network stack degrades the performance when communicating VMs are co-located. Data integrity is also compromised as data might travel unprotected via an insecure path where it could be altered or intercepted. Recently proposed Inter Virtual Machine Communication (IVMC) methods for co-located VMs include shared memory, customized libraries or API. Though shared memory based approaches seems like the obvious solution, they have certain issues regarding security and transparency. None of these initiatives take security considerations into account. Unfortunately none of these solutions meet all the requirements of IVMC.  

Keywords: IVMC, Virtual Machine Communication, Shared Memory Communication

Abstract: There are different techniques to make parallel programs. In parallel programming, independent pieces of tasks that may run in parallel. The objective of parallel algorithm design is to develop parallel computational methods that run very fast with as few processors as possible. A proper implementation expected to give a better speedup in dual core machine and in a quad core machine. In this paper, the implementation of different parallel algorithms such as Naive Algorithm , Brute Force Algorithm , Graham Scan Algorithm on geometric problems is presented.  

Keywords: Parallel Algorithms, Dual Core and Quad Core Machines, Naive Algorithm , Graham Scan Algorithm , Brute Force Algorithm , Geometric Problems.

Abstract: The liquid drop model describes the bulk properties of nuclei. However there are significant deviations from this near closed shells underestimates the binding energies. It is therefore necessary to include a correction that takes into account of this phenomenon in order to accurately calculate ,for instance ground state masses. In the present work we have calculated the shell corrections for all possible nuclei. Seeger introduced a semi empirical mass formula. We have taken shell corrections term from this formula. Inclusion of this term brings the binding energies very close to experimental values.