Design and Evaluation of Parallel Processing Techniques for 3D Liver Segmentation and Volume Rendering
Ensuring Software Quality in Engineering Environments
New 3D Face Matching Technique for an Automatic 3D Model Based Face Recognition System
Algorithmic Cost Modeling: Statistical Software Engineering Approach
Prevention of DDoS and SQL Injection Attack By Prepared Statement and IP Blocking
Web applications are popular due to the ubiquity of the web browser s a client, sometimes called a thin client. The ability to update and maintain web applications without distributing and installing software on potentially thousands of client computers is a key reason for their popularity.
Accurate estimates of development effort play an important role in the successful management of larger Web development projects. By applying measurement principles to measure qualities of the applications and their development processes, feedback can be obtained to help understand, control and improve products and processes.
The objective of this paper is to present a metrics for Web design based on a set of metrics, which were collected using a case study evaluation (CSE). The paper is organised into two parts. Part I describes the CSE for Proprietary (ASP) and Non-proprietary (PHP) server programs for which the web metrics used were collected. These metrics were organised into four categories: structure metrics, complexity metrics, reuse metrics and size metrics. Part II presents the Problem and solution oriented metrics (FP and LOC) for the above given metrics.
System Dynamics (SD) is a methodology whereby complex, dynamics and nonlinear interactions in social systems can be understood and analyzed, and new structures and policies can be designed to improve the system behavior. Similarly we can say, System Dynamics (SD) is a complex scientific and technological activity, for which is epistemological and methodological analysis could suggest some new and interesting perspectives both to practitioners and theorists of system dynamics (SD) The System models to have the most realistic representational content possible. There is a great different between purely Correlation or Statistical models and System Dynamics (SD. The System Dynamics (SD) models also try to offer explanation and understanding, not only forecasting and control (Forrester, 1961).
This paper presents a new algorithm for generating fuzzy rule base from numerical data. The algorithm is based on different concepts: First, the Mendel Wang generating method for constructing rules premises. Second, the gradient descent method for the identification of Takagi—Sugeno—Kang (TSK) parameters. Third, the similarity measure between fuzzy sets premises and TSK parameters. The principal idea consists in the adjustment of membership function if similarity exists using initial numerical values. The benefits consist in a better fuzzy sets definition without reducing fuzzy rule bases or losing precision. This paper focuses on the application of this approach to the non linear function and a medical problem.
This paper presents a neural network (NN) based method for fault classification with its clearance time, in a power system. A new method of generating the training data is proposed which has the advantage that the total number of fault simulations needed to generate the training patterns is less than that required by the conventional training method. The performance of the proposed method is investigated using the Matlab simulation model of a simple HVDC system.
Segmentation plays an important role in low level image analysis and understanding. Basically, it involves the identification of regions with the same texture features .The further analysis can be performed on the respective regions alone. Due to its simplicity and performance, many people have applied it to a number of different applications such as analysis of remote sensing images, industrial monitoring of product quality, medical image analysis, and image retrieval. In this paper, Segmentation algorithm is applied for intelligent based driver for driving vehicles to avoid obstacles. Computers become a part of our real life. Educated persons, Business Magnets waste most of their time in driving (Four-wheeler) vehicles to reach the destinations on time to accomplish their goals. If they were allowed to do some useful work while driving, it will be a great boon. During night times many accidents take place due to driver’s negligence. It can be avoided if vehicle can be driven with intelligent based driver which is developed by software. This Paper describes how the intelligent based driver can be developed and the usage of it.
Fourth Generation (4G) mobile systems focus on seamlessly integrating the existing wireless technologies wireless LAN and cellular networks. Seamless Mobility and 4G are complimentary Technologies. 4G will extend the high-speed data capabilities available inside the WLAN, outside to the wide area cellular network. Seamless Mobility will increase the capacity of 4G networks, enabling deeper market penetration with lowered infrastructure demands. With the rapid development of wireless communication networks, it is expected that fourth generation mobile systems will be launched within decades. The progress in the wireless communications (4G Cellular Technology and Wireless LANs) is paving the way for high-speed data connectivity enabling multimedia communications. Though wireless LANs are cheaper the range is limited and availability is limited compared to Cellular network. One possibility is to use 4G technology when wireless LANs are not available and seamlessly switch between these technologies to provide improved and transparent connectivity.
The proposed approach is used to evaluate Mobile IPv6 protocol performance in heterogeneous environments, and identify the weaknesses of this protocol to manage seamless roaming between different technologies. From this comparison the proposed approach is minimum time delay (latency time), higher Throughput and Reliability are successfully achieved.
Finite state machines have become popular in today’s world, VLSI methods for implementing them are preferred. The universal serial bus technology comes as a response to the increasing demands for unified interfaces and the need for flexible easy-to-use products for personal computers. Integrating this technology in to PBXs, ISDN ICs and multimedia communication systems can play an important role in the integration of telecommunication and computer technologies. In this paper experimental comparison has been done on the performance of Universal Serial Bus finite state machines based on their encoding types are designed and implemented family of Field Programmable Gate Array (FPGA). The various parameter like the power and area occupied, are compared. The proposed asynchronous finite state machine in such a way that an One-Shot-Coding of their states is possible. The characteristic of One-Shot-Codes for finite state machines result in some properties of the realized sequential networks. The main advantage is less power dissipation, better electromagnetic compatibility and very fast circuits because only one bit changes between all successive states. Compared with existing coding, the proposed coding results in area reduction of 43% and power consumption decrease of 82%.
This study examined telecommuting relative to recruitment and retention of information technology (IT) staff in institutions of higher education. Participants were 102 human resources administrators from colleges and universities in 11 southern states. Data were gathered via a survey instrument developed by the researchers and were analyzed using descriptive statistics, t-tests, Spearman’s Rho, and chi-square analysis. Only 12 participants were from institutions that had a formal telecommuting program. Results indicated that existence of a telecommuting program was not significantly related to recruitment and retention of IT staff. While budget cuts at an institution had a significant negative effect on recruiting, budget cuts had no significant effect on perceived success of retention. Results from this study highlight need for future research on this topic.