Conversion Marketing in Retailing
Rajiv Kaushik, Ashutosh Nigam

Abstract
Conversion marketing leads converting the prospects into customers. Even in the case of life and death in spite of high awareness it is difficult to change the behavior of the individual then it is quite difficult to change the behavior of the consumers by using marketing techniques. There are some factors which are helpful in converting the prospects into customers like by training to salespersons, point of purchase marketing, establishing emotional connection with the brand, by providing value for money to consumers, right prognosis for consumer demand, generating a meaningful consumer advocacy, disarming honesty, making people contagious about a brand and innovations.
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Advanced Intelligent Network for Wireless Communications
Pooja Sharma, Pawan Bhadana

Abstract
Advanced Intelligent Networks (AIN's) are telecommunications networks that are capable of providing advanced services through the use of distributed databases that provide additional information to call processing and routing requests. The advanced intelligent network (AIN) is a combination of the SS7 signaling network, interactive database nodes, and development tools that allow for the processing of signaling messages to provided for advanced telecommunications services. In this paper we explore the general architecture of AIN. We also explain the role of AIN for mobile communication. The proposed idea in this paper are two major directions in AIN for mobile communications which are wireless access technology and increased network functionality. Wireless access technology is aiming at low power, light weight, efficiently used spectrum and low-cost operation and maintenance. The increased network functionality is achieved through the use of SS7 for a call control and database transactions.
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An Optimized ANN Design for Measuring Overall Reliability for Growing Computer Networks with Fixed and Varying links Baijnath Kaushik, Navdeep Kaur, Amit Kumar Kohli

Abstract
This paper presents a computational study on the performance of reliability measures by using optimized ANN for computer networks with fixed and varying link reliabilities. This paper focus on the design of minimum cost reliable computer networks when a set of nodes, their topology, and links are given to connect them. A comparative study of various approaches for evaluating reliabilities has been studied such as Monte Carlo simulation methods and upper and lower bounds to bound reliability. The network design problem is difficult when overall reliability measure is considered through these methods. The objective is to design a minimum cost reliable networks that meets minimum reliability requirements. Therefore, for optimal network design, an optimized ANN is used for reliability measures. An optimal ANN is constructed, trained and validated using topologies, fixed and varying link reliabilities, and upper-bound on reliability as inputs to produce overall reliability as output.
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A Study of Software Metrics
Gurdev Singh, Dilbag Singh, Vikram Singh

Abstract
Poor size estimation is one of the main reasons major software-intensive acquisition programs ultimately fail. Size is the critical factor in determining cost, schedule, and effort. The failure to accurately predict (usually too small) results in budget overruns and late deliveries which undermine confidence and erode support for your program. Size estimation is a complicated activity, the results of which must be constantly updated with actual counts throughout the life cycle. Size measures include source lines-of-code, function points, and feature points. Complexity is a function of size, which greatly impacts design errors and latent defects, ultimately resulting in quality problems, cost overruns, and schedule slips. Complexity must be continuously measured, tracked, and controlled. Another factor leading to size estimate inaccuracies is requirements creep which also must be baseline and diligently controlled. Software metrics measure different aspects of software complexity and therefore play an important role in analyzing and improving software quality. Pervious research has indicated that they provide useful information on external quality aspects of software such as its maintainability, reusability and reliability. Software metrics provide a mean of estimating the efforts needed for testing. Software metrics are often categorized into products and process metrics.
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Asymmetric SRAM- Power Dissipation and Delay
Ashish Siwach, Rahul Rishi

Abstract
In recent years rapid growth is noticed in mobile, hand-held communication devices, battery operated devices and fast data transfer demand, that these systems should have larger memory capacity and low power consumption with minimum operational delays. Since memory is main and consisting a large part of systems, nearly fifty percent, reducing the power and delay in memories becomes a hot burning issue. Almost half of the total CPU (central processing unit) dissipation is due to memory operations. It is necessary to identify the sources of power consumption and delay in memory blocks so that they can be reduced, hence allowing for better overall performance of the system. Today’s microprocessors are very fast and require fast caches with low power dissipation and low delay. This paper presents the simulation results of 6T SRAM (six transistors static random access memory) cells, which are the main choice for today’s cache applications. The stability of the cell is best among all the cells, existing in memory cell configurations.
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Attribute Based Perceptual Mapping of Prepaid Mobile Cellular Operators: An Empirical Investigation Among Management Graduates in Central Haryana Ashutosh Nigam, Rajiv Kaushik

Abstract
A comparison of consumer’s perception regarding cellular mobile operators was done on five cellular operators in the prepaid segment. The paper focuses on how management students associate selected brands of mobile cellular operators .Discriminant analysis is used to map selected mobile cellular operators along with their attributes. Study investigates how consumers associate the attributes in different dimensions with reference to leading service providers. Operators do not differ significantly with regard to attributes. However, they vary in their promotional campaigning and years of existence in the market.
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MANET Vulnerabilities Challenges Attacks Application
Priyanka Goyal, Vinti Parmar, Rahul Rishi

Abstract
Mobile ad-hoc network (MANET) is one of the most promising fields for research and development of wireless network. As the popularity of mobile device and wireless networks significantly increased over the past years, wireless ad-hoc networks has now become one of the most vibrant and active field of communication and networks. Due to severe challenges, the special features of MANET bring this technology great opportunistic together. This paper describes the fundamental problems of ad hoc network by giving its related research background including the concept, features, status, and vulnerabilities of MANET. This paper presents an overview and the study of the routing protocols. Also include the several challenging issues, emerging application and the future trends of MANET.
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Mitigation of Denial of Service
Payal Jain, Juhi Jain, Zatin Gupta

Abstract
The recent Denial of Service (DoS) attacks against high-profile web sites shows how overwhelming DoS attacks are and how unprotected the Internet is under such attacks. We present a survey of the current proposed mitigations against Denial of Service (DoS) attacks that give a promising approach to the field. Weaknesses of the available methods are also presented which result to the fact that no unified method has been adopted yet. We also make a discussion about the future trends in DoS defense. In fact DoS is technical attack therefore can be handled only by knowing its technical aspects. Most commonly targeted application are DNS servers, Websites, E-commerce applications, online gaming, VOIP services by blocking customer’s access to these applications.
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Object tracking in a video sequence using Mean-Shift Based Approach An Implementation using MATLAB7
Madhurima, Madhulika

Abstract
Object-tracking is one of the most popular areas of video processing because of its applicability to daily problems and ease of production, e.g. surveillance cameras, adaptive traffic lights, plane detection, vehicle navigation, human-computer interaction, object-based video compression, smart rooms, driver assistance, perceptual user interface, augmented reality etc. The purpose of object tracking is to determine the position of the object in images continuously and reliably against dynamic scenes. The bases of the work is the mean shift object-tracking algorithm for a moving target in a video by defining a rectangular target window in an initial frame, and then process the data within that window to separate the tracked object from the background. The paper also includes experimental results of the tracking using the mean shift based algorithm with certain improvements to make it suitable for tracking fast moving object.
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Study of modified Casson´s fluid model in modeled normal and stenotic capillary-tissue diffusion phenomena
Sapna Ratan Shah

Abstract
The study focuses on the behavior of diffusion phenomenon in the normal and stenosed capillary-tissue exchange system where the rheology of flowing blood in the capillary is characterized by the generalized Casson’s fluid model. Assessment of the severity of the disease could be made possible through the variation of a parameter named as retention parameter. The concentration profile and associated physiological diffusion variable involved in the study for normal and diseased state have been analyzed. The model is also employed to study the effect of shape of stenosis on flow characteristics. An extensive quantitative analysis is performed through numerical computations of the desired quantities having physiological relevance through their graphical representations so as to validate the applicability of the present model.
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Language Engineering with Domain
Mukesh Arya, Seema

Abstract
We focus on DSLs which have some algorithmic favor and are intended to be used in corporate environments where main-stream state-based programming and modeling formalisms prevail. The aim of domain-specific languages (DSLs) is to increase the productivity of software engineers by encapsulating from low-level formulation code. DSLs in the software development process require a smooth workflow for the production of DSLs themselves. The purpose of this work is to design of a language which allows to specific new language in easiest way and to make the path way for new languages in a common process for software engineers. This process s called “Language Engineering”. It is much interesting area if it is applied to segmented domains where possibilities could arise and reuse of their knowledge widely. A domain can typically be captured with new languages constructs, which are then combined with common constructs from well known general-purpose languages therefore here the collection of guidelines, design patterns, and reusable DSL components that depicts developers how to tackle a common language design and implementation issues.
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Human Computer Interaction
Kamal Kumar Ranga, Neha Singh, Mahesh Kumar

Abstract
Human–computer interaction (HCI) is the study of interaction between users and computers. Here we discuss numerous ways how the interaction between human and computer can be simplified. In today’s world when technological development throughout world is growing exponentially HCI is a field where we require considerable efforts to match up the current technological progress. Here we discuss various design methodologies which helps us to the futuristic developments that can be achieved. According to the view of computer scientists and Engineers in future we will be having such a technological advancement in this field that amazes world.
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Comparative study of TCP friendly Window based Congestion Control Algorithms
Kulvinder Singh

Abstract
This work presents a thorough study of TCP like window based congestion control. These schemes are basically different from memory less AIMD and binomial schemes. As like this, a small step allows a much broader exploration of friendliness for TCP congestion controls than memory less AIMD and binomial schemes. We propose An Array of window based congestion controls possessing higher smoothness in steady states, while it reacts on promptly to sudden changes in network conditions. We analyze the smoothness, transient behavior and performance comparisons for new Array of control. In SIMD (Square Increase Multiplicative Decrease), congestion window size increases superlinearly in proportion to the square of time elapsed since the detection of last loss event. In other words, increase is inversely proportional to window size at the time of last loss detection. Thus, SIMD has higher aggressiveness and fast convergence to fairness.
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