On regular fuzzy resolving set

In a fuzzy graph G, if the degree of each vertex is the same, then it is called a regular fuzzy graph. The representation of σ − H with respect to the subset H of σ are all distinct then H is called the resolving set of the fuzzy graph G(V, σ, µ). In this article, we define a regular fuzzy resolving set, regular fuzzy resolving number and the properties of a regular fuzzy resolving set in a fuzzy graph whose crisp graph is a cycle, even or odd. And also we prove that, if G be a regular fuzzy graph with G* is a cycle, then any minimum fuzzy resolving set of G is a regular fuzzy resolving set of G.Emerging Sources Citation Index (ESCI)MathScinetScopu

Fuzzy super resolving number and resolving number of some special graphs

Resolving number of a graph was introduced by Slater in the year 1975, which is used to navigate the position of the robot uniquely in a graph-structured framework. In this paper, we introduce fuzzy super resolving set, fuzzy super resolving number and certain crisp graph with ʹ2nʹ vertices and resolving number ʹnʹ , whose resolving set form a basis for Rⁿ.Publisher's Versio

Strang-type Preconditioners for Solving System of Delay Differential Equations by Boundary Value Methods

In this paper,we survey some of the latest developments in using boundary value methods (BVMs) for solving systems of delay differential equations (DDEs) These methods require the solutions of nonsymmetric,large and sparse linear systems. The GMRES method with the Strang-type preconditioner is proposed for solving these systems. One of the main results is that if an Av1,v2- stable BVM is used for a system of DDEs, then the preconditioner is invertible and the preconditioned matrix can be decomposed as I + L where I is the identity matrix and L is a low rank matrix.It follows that when the GMRES method is applied to solving the preconditioned systems,the method will converge fast

Eucalyptus

Young boy Joey and his teddy bear; a witch with a nasty cold and a baby koala to hold; a magical cough drop and a mystical forest; Eucalyptus is a thesis film created with the intention to illuminate the powerful ingenuity of children\u27s imagination. With the intended audience of children between ages 3 to 8 years old, Eucalyptus follows the journey of a boy named Joey, and his sidekick, Teddy, as they battle the wicked witch in order to save the native Eucalyptus Forest dwellers--the koalas. The film is an animated fable created in the realm of 3D Computer Graphics, using with the software, Maya. The following thesis report explores the conception and realization of this project, both aesthetically and technically

Strategi Ekspansi Wuling Motors sebagai Latecomer Firm Asal Tiongkok dalam Memasuki Pasar Industri Otomotif di Indonesia tahun 2015

Penelitian ini bertujuan untuk mengetahui strategi ekspansi yang dilakukan Wuling Motors sebagai salah satu perusahaan latecomer asal Tiongkok dalam memasuki pasar industri otomotif di Indonesia pada tahun 2015. Analisis dilakukan dengan menggunakan konsep latecomer firm dari John A. Mathews yang menjelaskan penggunaan strategi 3L (linkage, leverage, learning) oleh sebuah perusahaan latecomer untuk mengejar ketertinggalannya. Ekspansi yang dilakukan Wuling Motors ke Indonesia merupakan sebuah bentuk usaha guna mensejajarkan posisi kompetitif mereka dengan para pendahulunya. Adanya relasi dengan berbagai pihak, kehadiran produk unggulan serta proses pembelajaran yang dilakukan Wuling Motors terhadap berbagai pihak membawa mereka dapat masuk dan bersaing di pasar industri otomotif Indonesia

Assigning Schema Labels Using Ontology And Hueristics

Bioinformatics data is growing at a phenomenal rate. Besides the ex-ponential growth of individual databases, the number of data deposi-tories is increasing too. Because of the complexity of the biological concepts, bioinformatics data usually has complex data structures and cannot be easily captured with relational model. As a result, various at-le formats have been used. Although easy for human interpreta-tion, at-le formats lack of standards and are hard to be recognized automatically. As a result, manually written parsers are widely used to extract data from them. This has limited the readiness of the data for data consuming programs, such as integration systems. This paper presents a data mining based approach for automatically assigning schema labels to the attributes in a at-le biological dataset. In conjunction with our prior work on semi-automatically identifying the delimiters and automatically generating parsers, automatic schema labeling offers a novel and practical solution for integrating biological datasets on-the-y. Our approach for schema labeling is based on un-supervised learning, and uses a feature representation of an attribute by most frequently occurring data values in it. We combine the use of a biological ontology with heuristics. We are able to deal with noise in the datasets by using cutoff functions. Detailed experimental results from three datasets demonstrate the effectiveness of the use of data mining for biological applications. 1

Comparative analysis of inflammatory gene expression levels in metabolic syndrome & coronary artery disease

Background & objectives: Metabolic syndrome (MetS) increases the likelihood of developing coronary artery disease (CAD), and inflammation is involved in the pathogenesis of both these conditions. The present work was conducted to examine the relative expression of 18 key inflammatory genes associated with MetS and incident CAD in a representative group of patients. Methods: A total of 178 male patients, including 57 with CAD and 121 without CAD, were enrolled in the study. The participants without CAD were characterized for the presence of MetS using modified criteria specific for Asian Indians, which included a lower cut-off for waist circumference (≥90 cm for men). The expression of 18 inflammatory genes was evaluated in peripheral whole blood by quantitative polymerase chain reaction method. Results: Of the 121 participants without CAD, 53 (43.8%) had three or more risk factors (MetS group), 50 (41.3%) had one or two risk factors (non-MetS group), while 18 (14.8%) did not have any risk factors (control group). High nuclear factor-kappa B (NF-κB) expression levels and low interleukin-10 (IL-10) levels were observed in MetS patients. Linear association was seen between NF-κB and vascular endothelial growth factor A (VEGFA) expression and with increase in MetS components. Comparison of gene expression pattern between CAD and MetS revealed significantly higher expression of leukotriene genes - arachidonate 5-lipoxygenase (ALOX5), arachidonate 5-lipoxygenase activating protein (ALOX5 AP), leukotriene A4 hydrolase (LTA4H) and leukotriene C4 synthase (LTC4S), and lower expression of NF-κB, interleukin 1 beta (IL-1β), monocyte chemoattractant protein-1 (MCP-1/CCL2) and signal transducer and activator of transcription 3 (STAT3) genes in CAD. There was linear increase in expression of LTA4H, LTC4S, IL-8 and VEGFA genes across the four groups, namely from controls, non-MetS, MetS and CAD. Interpretation & conclusions: A distinct gene expression pattern was seen in MetS and CAD implying a well-orchestrated inflammatory and immune activity. Specifically, NF-κB might be playing an active role in MetS, allowing further expansion of the inflammatory process with resolution of inflammation in full-blown CAD, wherein other gene players such as leukotrienes may dominate