P. Jesu Jayarin ¹, T. Ravi ²

Affiliations
1 CSE Department, Sathyabama University, Chennai-600119, IN
2 Department of CSE, KCG College of Technology, Chennai-600097, IN

Abstract

In multi-hop cellular networks, a channel that contributes the lowest relaying delay is proposed to the current node on the path. The current node itself does not receiving on the time-slot of the proposed channel that enhance the capacity and coverage problems of cellular networks. They also allow faster and cheaper deployment of cellular networks. A fundamental issue of these networks is packet delay because multi-hop relaying for signals is involved. An effective channel assignment is the key for the reducing delay. It proposes an optimal and a heuristic channel assignment scheme, called OCA and minimum slot waiting first (MSWF) respectively, for a time division duplex (TDD) wideband code division multiple access (W-CDMA) MCN. OCA provides an optimal solution in minimizing packet delay and can be used as an unbiased or benchmark tool for comparison among different network conditions or networking schemes. However, OCA is computationally expensive and thus, inefficient for large real-time channel assignment problem. In this case, MSWF is more appropriate. Simulation results show that MSWF achieves on average 95% of the delay performance of OCA and is effective in achieving high throughput and low packet delay in conditions of different cell sizes. For improving more on quality of service we can propose channel reuse. Using FDMA and TDMA we can reuse the channels. The novel feature of the proposed technique is that co-coordinated, prioritized TDMA is supported for clusters of access points (AP's) using measurement based time slot assignments.

Keywords

Cellular Network, MSWF, CSMA, OCA, Channel Assignment

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T. Prem Jacob ¹, T. Ravi ²

Affiliations
1 Sathyabama University, Chennai-119, IN
2 Principal, Srinivasa Institute of Engineering & Technology, Chennai- 56, IN

Abstract

Regression test selection techniques are proposed often but are many times inaccurate when used with larger systems. The proposed new selection technique will be safer, more precise, and can handle the object-oriented features even in larger systems through its phases. Selecting the subset of the test case from the existing test suite is an important problem in regression testing and is addressed in the regression test selection technique. Safe regression test selection technique selects and identifies the program parts that are affected by the change. The test selection is performed by matching the identified change information with the coverage information. A tool is implemented that reduces the testing effort efficiently and the result shows that it can achieve considerable savings in the regression testing time.

Keywords

Test Selection, Testing, Software Maintenance, Regression Testing, Software Evaluation

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K. Vasanth ¹, A. A. F. Kavirajan ², T. Ravi ², Nirmal Raj ¹

Affiliations
1 Department of E.E.E, Sathyabama University, Chennai-119, Tamil Nadu, IN
2 Department of E.C.E, Sathyabama University, Chennai-119, Tamil Nadu, IN

Abstract

The need for an optimized area, speed and power plays a vital role for any median filter is good at removing impulse noise without degrading the image details. The main operation of the median is Rank ordering. It is a computationally complex operation, so it is hard to implement it in real time. This paper introduces a new sorting technique called for Snake like sorting. The proposed Sorting technique is implemented as a parallel architecture. This algorithm is a Mesh based sorting that require less number of comparators for rank ordering. The proposed architecture is compared with other Rank Ordering algorithm on the basis of power, speed, and area and found to exhibit good results. The proposed architecture is implemented on parallel and pipelined schemes and is targeted for Spartan 3e Device with gate capacity 5000 using Xilinx 7.1i compiler version. The pipelined scheme has an operating frequency of 81 Mhz occupying 283 slices with a gate count of 5,640.

Keywords

Borrow Look Ahead Select Comparator, Median Filter, Modified Shear Sorting, Salt And Pepper Noise

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L. Mary Gladence ¹, M. Karthi ², T. Ravi ³

Affiliations
1 Sathyabama University, Rajiv Gandhi Road, Jeppiaar Nagar, Chennai - 600119, Tamil Nadu, IN
2 Karapagam College of Engineering, Myleripalayam Village, Othakkal Mandapam Post, Coimbatore - 641032, Tamil Nadu, IN
3 Madanapalle Institute of Technology and Science, P.B. No:14, Kadiri Road, Angallu Village, Chittoor District, Madanapalle - 517325, Andhra Pradesh, IN

Abstract

Objectives: Ordinal regression is one which is used in Multiclass classification where there is an essential ordering among the classes. The training dataset is initially classified depending on the Random threshold values θ. Based on these values, the distance between the different class labels are predicted by one against one technique. Method: All Pairs Distance Calculation using one against one technique [APDC_1 AG 1] is Proposed to validate the work. But in the referred previous work, distance is calculated using adjacent classes, but here all pairs distance calculation is used to find the class label distance to all class label pairs. Findings: On the whole, New trained data are in the form of one dimensional representation. Here, with the knowledge of proposed work, testing data is tested with New trained data set and the results are produced. The Proposed method is seen to be ambitious when compared with previous work. Beside this, an additional set of experiments is done to study the potential quantifiability and illustratability of the proposed method when using APDC as base methodology. Improvements: Proposed work is analyzed with Kernel discriminant analysis, Logistic Regression, Classification via Regression, Multiclass Classifier and found APDC has attained better results according to all measures.

Keywords

All Pairs Distance Calculations, Hyper Line, Latent Space Representation, Multi-Class Ordinal Regression, One Against One Method, Ordinal Classification, Projection

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A. Velmurugan ¹, T. Ravi ²

Affiliations
1 Department of Computer Science and Engineering, Sathyabama University, Chennai, IN
2 Department of Computer Science and Engineering, Madanapallee Institute of Technology and Science, Andhra Pradesh, IN

Abstract

Parents of preterm infants are facing difficulties in lack of information, lack of understanding of medical terminologies, preterm infant’s risk factors and their feelings of emotional stress in Neonatal Intensive Care Unit (NICU). In order to release their stress, need to develop an automatic system that generates a clear and brief summary about the infant process and also generate a meaning of medical terms which is used at NICU. To accomplish the system properly, there is a necessity of ontology. In this paperwork, we present an ontology which holds few main concepts in NICU domain. This ontology was constructed through protégé 4.3. This ontology predominantly covers classes, data properties, object properties, individuals, existential restriction, and cardinality restriction on the relationship between classes and other description. At the end of this paper, HermiT Reasoner was used to examine inconsistencies and unsatisfiability.

Keywords

Infant, Medical Terminology, Neonatal Intensive Care Unit, Ontology, Protege.

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