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Manjula.C.M. Prasad,Lilly Florence,Arti Arya 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.3
Software quality is a field of study and practice that describes the desirable attributes of software products. The performance must be perfect without any defects.Software quality metrics are a subset of software metrics that focus on the quality aspects of the product, process, and project.The software defectprediction model helps in early detection of defects and contributes to their efficient removal and producing a quality software system based on several metrics. The main objective of paper is to help developers identify defects based on existing software metrics using data mining techniques and thereby improve the software quality.In this paper, variousclassification techniquesare revisitedwhich are employed for software defect prediction using software metrics in the literature.
Direct Organogenesis in Geophila reniformis D. Don., an Important Medicinal Herb
Nisha, A.,Narasimhan, S.,Manjula, S.,Nair, G.M. The Korean Society of Plant Biotechnology 2004 Plant molecular biology and biotechnology research Vol.6 No.3
Adventitious multiple shoots were developed from leaf, petiole and internode explants of Geophila reniformis D. Don. on MS medium supplemented with various concentrations of $N^6$-benzylaminopurine (BAP) or Kinetin (KIN) alone or in combination with indole-3-acetic acid (IAA). Leaf showed maximum organogenetic potential, followed by petiole and internode. Murashige and Skoog (MS) medium supplemented with 22.22 $\mu{M}$ BAP and 4.57 $\mu{M}$ IAA induced maximum shoot buds from leaf explants. Internodal segments showed low potential of direct organogenesis. The regenerated shoots rooted the best in presence of 10.75 - 13.44 $\mu{M}$ $\alpha$-naphthalene acetic acid (NAA) along with 2.22 $\mu{M}$ BAP, and were successfully established in the field with a survival rate of 89.11%.
Performance Evaluation and Analysis of Parallel Computers Workload
M.Narayana Moorthi,R.Manjula 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.1
The current and future computer industry is changing from single core CPU to Multicore Processors. The next generation computing systems are focusing on parallel computing to solve the problem in fast and high speed using parallel programming concepts. By running more than one task at the same time with multiple processors concurrently or parallel we can achieve high speed in our computing applications. Here the performance improvement is measured in terms of increase in the number of cores per machine and is analyzed for better optimal work load balance. The parallel computers follow different workload scheduler. In this paper we investigate how to tune the performance of threaded applications with balanced load for each core or processor. The focus here is the process of comparative analysis of single core and multicore systems to run an application program for faster execution time and optimize the scheduler for better performance.
An ANN Controlled Three-Phase Auto-Tuned Passive Filter for Harmonic and Reactive Power Compensation
Sindhu M.R,Manjula Nair,T.N.P. Nambiar 전력전자학회 2009 JOURNAL OF POWER ELECTRONICS Vol.9 No.3
Automatically tuned passive filters can improve power quality to a great extent in power systems. A novel three-phase shunt auto-tuned filter is designed to effectively compensate source current harmonics and to provide reactive power required by the non-linear load, which draws a highly reactive, harmonic-rich current from the supply. An artificial neural network (ANN) based controller selects filter component values in accordance with reactive power requirement and harmonic compensation. Traditional passive filters are permanently connected to the system and draw large amounts of source current even under light load conditions. By using auto-tuned filters, the passive filter components can be controlled according to load variations and, hence, draw only required source currents. The selection is done by the ANN with the help of a properly tuned knowledge base to provide instantaneous compensation using a digital controller.
ON HARMONIOUS COLORINGS OF LEXICOGRAPHIC PRODUCT OF GRAPHS
K. KALIRAJ,M. MANJULA,VERNOLD VIVIN,Ismail Naci CANGUL 장전수학회 2021 Advanced Studies in Contemporary Mathematics Vol.31 No.2
Harmonious coloring was rst introduced by Harary and Plantholt in 1982. A harmonious coloring is a proper vertex coloring in which every pair of colors appears on at most one pair of adjacent vertices. The harmonious chromatic number χH(G) of a graph G is the minimum number of colors needed for any harmonious coloring of G. In this paper, we obtain the harmonious chromatic number of lexicographic product of two graphs G and H, denoted by G[H]. Path and complete graphs are used to obtain extremal properties of graphs and to obtain upper and lower bounds for some graph parameters. Here, we rst consider the graph G[H] where G is the complete graph and H is any simple graph such as the path graph, cycle graph, wheel graph, complete graph, star graph, fan graph or complete bipartite graph. Secondly, we consider G as the path graph and H as the complete graph or path graph respectively. Finally, we consider G as the wheel graph and H as the complete graph.
Harshada C,Bhatlawande,Alka D,Kale,Karishma M,Desai,Seema Hallikerimath,Chetan Belaldavar,Deepa Mane,Punnya V,Angadi,Manjula M,Sidramesh Muttagi 대한구강악안면외과학회 2019 대한구강악안면외과학회지 Vol.45 No.5
Objectives: Metastasis in oral squamous cell carcinoma (OSCC) can occur in a variety of ways, and draining lymphatics and lymph nodes serve as a common route. Prior to metastasis, lymph nodes elicit an immune response to either wall off or create a favorable environment for homing of tumor cells. This immune response to tumor stimuli is visualized by recognizing various immunoreactive patterns exhibited by the lymph node. The present study aims to evaluate the role of immuno-morphologic patterns of the lymph node in neck dissection for cases of OSCC. Materials and Methods: Our retrospective study included 50 neck dissection cases of OSCC and a total of 1,078 lymph nodes. The grades of primary tumors with eight different immunoreactive patterns were compared. Vascularity and metastasis in lymph nodes were also evaluated. Results: The lymphocyte predominant pattern was the most common immunoreactive pattern found in 396 of 1,078 lymph nodes. Patterns of lymphocyte predominant ( P =0.0005), sinus histiocytosis ( P =0.0500), paracortical hyperplasia ( P =0.0001), cortical hyperplasia ( P =0.0001), and increased vascularity ( P =0.0190) were significantly associated with tumor grade. Conclusion: The present study adds to the understanding of lymph node immunoreactivity patterns and their correlation with tumor grade. We recommend further study of lymph node patterns for all sentinel lymph node biopsies and routine neck dissections for OSCCs.