T -Coloring on Certain Graphs
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Given a graphG=(V,E) and a set T of non-negative integers containing 0, a T -coloring of G is an integer function f of the vertices of G such that |f(u)-f(v)|∉T whenever uv∈E. The edge-span of a T-coloring is the maximum value of |f(u)-f(v)| over all edges uv, and the T- edge-span of a graph G is the minimum value of the edge-span among all possible T -colorings of G. This paper discusses the T -edge span of the folded hypercube network of dimension n for the k-multiple-of-s set, T={0,s,2s,…ks}∪S, where s and k≥1 and S⊆{s+1,s+2,…ks-1}.
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We do come across cases where the lower court verdict is reversal or appealed by higher court. This paper studies the differences in judgment delivered at lower and higher court on a family divorce case. This case consists of three stages. First stage is in family court, Hyderabad by wife Deepa against her husband K. Srinivas Rao. Second case is of the wife D.A Deepa challenged the family court Judgement in the High court, Andhra Pradesh. And finally they approached Supreme Court for decree of divorce. The Criminal proceedings in family court and later appeal and further revision were pursued in higher forums which would warrant grant of divorce. The differences in judgment in different courts are studied using Fuzzy Multiperson Decision Making Model. Evidences and existing laws are the same but the interpretation differs. Hence the need for fuzzy approach to study the decision making process has become interpretation.
DNA Algorithm for Pancyclicity and Vertex Connectivity of Graph
Finding the Pancyclicity and Vertex connectivity for a general graph is the problem in NP complete class. In this paper, a bio-computation way of solving these two problems has been proposed. DNA computation is more powerful because of its massive parallelism and high density storage capacity. Thereby, producing the VERTEXCONNECTIVITY, PANCYCLIC and GIRTH algorithm solvable in polynomial time. The method in tracing the k-cycle and k-cut vertex was also used for the computation.
A Study on stochastic Models for HIV infection and Aids
This paper is review the Epidemiological modeling on threshold measuring measurement using probability and Mathematical Statistics. Mathematical models which would estimate the probable longevity of the infected and the extent of the usefulness of preventive measures Mathematical models that are purely threshold developed with less viability of applications. Some of the important and theoretical models developed include in the review.
The Study of Gas Pollutants In Kodungaiyur using Fuzzy Model
The Chennai' largest garbage dump is situated at Kodungaiyur. Burning and accumulation of garbage produce nineteen types of toxic chemicals. Inhalation of polluted gas causes respiratory problems, skin diseases and also affects central nervous system. This paper deals with the study of causes, health hazards and the remedy for Kodungaiyur project using Fuzzy Relational Maps (FRM).
Solving Fuzzy Differential Equationsin Runge-Kutta Method of Order Three
In this paper, we study numerical method for Fuzzy differential equations by Runge-Kutta method of order three. The elementary properties of this method are given. We use the extended Runge-Kutta method of order three in order to enhance the order of accuracy of the solution. Thus we can obtain the strong Fuzzy solution.
Analysis of Women Harassment in Villages Using CETD Matrix Modal
It is commonly understood that misbehavior intends to upset .Law says , the repeated intentional misbehavior towards women is an offensive. The main concept of this paper can find something interesting that will make us reflect on what is done by women’s rights and gender equality. To solve such problem, in this paper we are interested to adopt CETD matrix.
Cloud Detection and Removal Algorithm Based on Mean and Hybrid Methods
Cloud detection and removal is an important preprocessing step for many applications using satellite imagery. The paper proposes a new hybrid cloud detection and removal algorithm combining mean and modified maximum average (MMA) methods. Existing mean and second highest value methods work well for less bright clouds but MMA and hybrid methods are needed to remove both less and highly bright clouds. The results of the proposed hybrid method show it can remove clouds of varying brightness without degrading image quality, making it suitable for different satellite images.
Study on Impact of Media on Education Using Fuzzy Relational Maps
In this paper we bring out the depth of impact of media upon the growth of education. Education moulds an individual to take firm decisions on issues. It makes to feel independent and leads to a more exposed world. Media is a very powerful tool to explore the world and have access to the world. Internet, Mobile phones, etc., helps for an easy access to any part of the world at our finger tips. Media may lead us to both constructive and destructive mechanism depending the way we deal with it.Here we use FRM model to study and analyze the impact of media on education.
An Analysis of Risk Factors of Breast Cancer Using Interval Weighted Fuzzy Co...
Cancer begins when cells in a part of the body start to grow out of control. Cancer cell growth is different from normal cell growth. Instead of dying, cancer cells continue to grow and form new, abnormal cells. There are many types of cancer. Breast cancer is the second most commonly diagnosed cancer in the world. The risk factors of breast cancer as it are the second major cause of cancer death in among women. FCM have been applied in many fields successfully to show the relationship between the nodes. In this paper analyzing the risk factors of breast cancer by using the (IWFCMs) which is the combination of the Fuzzy Cognitive Maps (FCMs) and CETD matrix in which indeterminacy is included. It has also become very essential that the notion of logic plays a vital role in several of the real world problems like law, medicine, industry, finance, IT, stocks and share etc.
Symptoms of Breast Cancer – An Analysis Using Induced Fuzzy Cognitive Maps (I...
Cancer is a disease in which cells become abnormal and form more cells in an uncontrolled way. With breast cancer, the cancer begins in the tissues that make up the breasts. The cancer cells may form a mass called a tumor. (Note: Not all tumors are cancer.) They may also invade nearby tissue and spread to lymph nodes and other parts of the body. The most common types of breast cancer are: Ductal carcinoma – Cancer that begins in the ducts and grows into surrounding tissues. About 8 in 10 breast cancers are this type. Lobular carcinoma (LAH-byuh-luhr KAR-sih-NOH-muh) – Cancer that begins in lobules and grows into surrounding tissues. About 1 in 10 breast cancers are this type. Hence, this research investigates the most contributing / impactful factor of symptoms of breast cancer using Induced Fuzzy Cognitive Maps (IFCMs). IFCMs are a fuzzy-graph modeling approach based on expert’s opinion. This is the non-statistical approach to study the problems with imprecise information. In the current study, Section 1 introduction about cancer. Section 2 overviews the Fuzzy Cognitive Maps theory, and its influence. Section 3 explains the Algorithmic approach of IFCM models. Section 4 discusses the components (attributes) symptoms of breast cancer and implementation of IFCM model and Section5 reveals the conclusion of the problem.
Pair Sum Labeling of Some Special Graphs
Let G be a (p, q) graph. A one-one map f : V(G) ï‚® {1, 2, …, p} is said to be a pair sum labeling if the induced edge function, fe : E(G) ï‚® Z – {0} defined by fe(uv) = f(u) + f(v) is one-one and fe(E(G)) is either of the form {k1, k2, …, kq/2} or {k1, k2, …, k(qï€1)/2}  {k(q+1)/2} according as q is even or odd. Recently, the pair sum labeling is introduced by R.Ponraj, J. V. X. Parthipan. In this paper we study about the pair sum labeling of coconut tree CT(m, n), the the Y-tree Yn+1, Jelly fish J(m, n), (m, 2)-kite, (m, 1)-kite and the theta graph Ѳ(l[m] ), for m even.
Acyclic Coloring of Central Graph of Gear Graph Families
An acyclic coloring of a graph G is a proper vertex coloring ( no two adjacent vertices of G have the same color) such that the induced sub graph of any two color classes is acyclic. The minimum number of colors required for acyclic coloring of a graph G is called as its acyclic chromatic number and is denoted by a(G). In this paper, we present the structure and coloring algorithm of central graph of Gear Graph Gn and we obtain the exact value of its acyclic chromatic number.
Chordal Graphs and Their Clique Graphs
In this paper, we present a new structure for chordal graph. We have also given the algorithm for MCS(Maximal Cardinality Search) and lexicographic BFS(Breadth First Search) which is used in two linear time and space algorithm. Also we discuss how to build a clique tree of a chordal graph and the other is simple recognition procedure of chordal graphs.
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Similar to T -Coloring on Certain Graphs
T-Coloring Certain Graphs
Abstract- Given graph G = (V,E) and a set of non-containing 0, a T-coloring of G is an integer function f other vertices of G such that [f(u) - f(v)] E T whenever uv E. The edge spanofa T-coloring is the maximum value of [f(u) - f(v) over all edges uv, and the T-edge-span of graph G is the minimum value of the edge-spanamongll possible T-coloring of G. This approach discusses T-edgesspan of the folded hypercube networks of dimension forthek- multiple of set ,T = {0,s,2s,.....ks} U S, where s and k> 1 and S{s+1,s+2,....ks - 1}:
K031065069
This document summarizes research on the gracefulness of merging graphs of the form n ** C4, where n is the number of copies of the 4-vertex circuit C4 that are merged together. The paper presents definitions related to graceful graphs and labeling. An algorithm for determining the gracefulness of the merging graph n ** C4 is presented using Dotnet framework. Examples are provided to illustrate the algorithm for even and odd values of n. The research finds that the merging graph n ** C4 exhibits the property of gracefulness and can be modeled algorithmically.
On algorithmic problems concerning graphs of higher degree of symmetry
Since the ancient determination of the five platonic solids the study of symmetry and regularity has always
been one of the most fascinating aspects of mathematics. One intriguing phenomenon of studies in graph
theory is the fact that quite often arithmetic regularity properties of a graph imply the existence of many
symmetries, i.e. large automorphism group G. In some important special situation higher degree of
regularity means that G is an automorphism group of finite geometry. For example, a glance through the
list of distance regular graphs of diameter d < 3 reveals the fact that most of them are connected with
classical Lie geometry. Theory of distance regular graphs is an important part of algebraic combinatorics
and its applications such as coding theory, communication networks, and block design. An important tool
for investigation of such graphs is their spectra, which is the set of eigenvalues of adjacency matrix of a
graph. Let G be a finite simple group of Lie type and X be the set homogeneous elements of the associated
geometry. The complexity of computing the adjacency matrices of a graph Gr on the vertices X such that
Aut GR = G depends very much on the description of the geometry with which one starts. For example, we
can represent the geometry as the totality of 1 cosets of parabolic subgroups 2 chains of embedded
subspaces (case of linear groups), or totally isotropic subspaces (case of the remaining classical groups), 3
special subspaces of minimal module for G which are defined in terms of a G invariant multilinear form.
The aim of this research is to develop an effective method for generation of graphs connected with classical
geometry and evaluation of its spectra, which is the set of eigenvalues of adjacency matrix of a graph. The
main approach is to avoid manual drawing and to calculate graph layout automatically according to its
formal structure. This is a simple task in a case of a tree like graph with a strict hierarchy of entities but it
becomes more complicated for graphs of geometrical nature. There are two main reasons for the
investigations of spectra: (1) very often spectra carry much more useful information about the graph than a
corresponding list of entities and relationships (2) graphs with special spectra, satisfying so called
Ramanujan property or simply Ramanujan graphs (by name of Indian genius mathematician) are important
for real life applications (see [13]). There is a motivated suspicion that among geometrical graphs one
could find some new Ramanujan graphs.
ON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRY
Since the ancient determination of the five platonic solids the study of symmetry and regularity has always
been one of the most fascinating aspects of mathematics. One intriguing phenomenon of studies in graph
theory is the fact that quite often arithmetic regularity properties of a graph imply the existence of many
symmetries, i.e. large automorphism group G. In some important special situation higher degree of
regularity means that G is an automorphism group of finite geometry. For example, a glance through the
list of distance regular graphs of diameter d < 3 reveals the fact that most of them are connected with
classical Lie geometry. Theory of distance regular graphs is an important part of algebraic combinatorics
and its applications such as coding theory, communication networks, and block design. An important tool
for investigation of such graphs is their spectra, which is the set of eigenvalues of adjacency matrix of a
graph. Let G be a finite simple group of Lie type and X be the set homogeneous elements of the associated
geometry.
Application of Intuitionistic Fuzzy Set With n-Parameters in Medical Diagnosis
In this paper, we first introduce intuitionistic fuzzy sets [IFS] with n-parameters. This method of approach is different and singular in certain aspects. In this n-parameters method the relationship between membership values and hesitancy values and hesitancy values and non-membership values are studied to diagnosis the cause of diseases. The symptoms are checked once and even if there is slight variations in the symptoms the doctor can diagnosis the disease accurately, but this is not studied in other existing methods
GREY LEVEL CO-OCCURRENCE MATRICES: GENERALISATION AND SOME NEW FEATURES
Grey Level Co-occurrence Matrices (GLCM) are one of the earliest techniques used for image texture
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Hyers ulam rassias stability of exponential primitive mapping
This academic article discusses the Hyers-Ulam-Rassias stability of exponential primitive mappings. It begins with introducing the concepts of exponential primitive mappings, metric groups, and Hyers-Ulam-Rassias stability. It then proves a theorem showing that if an exponential primitive mapping G satisfies an inequality involving the sum of norms, then there exists a unique additive mapping T such that the difference between G and T is bounded above by a function of the norm. The proof constructs T as a limit and shows it has the required properties. The article concludes by mentioning potential directions for further research.
T24144148
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
AN APPLICATION OF Gd -METRIC SPACES AND METRIC DIMENSION OF GRAPHS
The idea of metric dimension in graph theory was introduced by P J Slater in [2]. It has been found
applications in optimization, navigation, network theory, image processing, pattern recognition etc.
Several other authors have studied metric dimension of various standard graphs. In this paper we
introduce a real valued function called generalized metric → + Gd
: X × X × X R where X = r(v /W) =
{(d(v,v1
),d(v,v2
),...,d(v,vk
/) v∈V (G))}, denoted Gd
and is used to study metric dimension of graphs. It
has been proved that metric dimension of any connected finite simple graph remains constant if Gd
numbers of pendant edges are added to the non-basis vertices.
An application of gd
The idea of metric dimension in graph theory was introduced by P J Slater in [2]. It has been found
applications in optimization, navigation, network theory, image processing, pattern recognition etc.
Several other authors have studied metric dimension of various standard graphs. In this paper we
introduce a real valued function called generalized metric G X × X × X ® R+ d : where X = r(v /W) =
{(d(v,v1),d(v,v2 ),...,d(v,v ) / v V (G))} k Î , denoted d G and is used to study metric dimension of graphs. It
has been proved that metric dimension of any connected finite simple graph remains constant if d G
numbers of pendant edges are added to the non-basis vertices.
Treewidth and Applications
The document discusses applications of graphs with bounded treewidth. It covers the following key points:
1) Courcelle's theorem shows that many NP-complete graph problems can be solved in linear time for graphs of bounded treewidth using monadic second-order logic. This includes problems like independent set, coloring, and Hamiltonian cycle.
2) The treewidth of a graph is closely related to its largest grid minor - graphs with large treewidth contain large grid minors. There are polynomial relationships between treewidth and largest grid minor for planar graphs.
3) Planar graphs have bounded treewidth if and only if they exclude some grid configuration as a contraction. This helps characterize planar graphs of bounded treewidth
Computational Information Geometry on Matrix Manifolds (ICTP 2013)
Computational Information Geometry
on Matrix Manifolds
http://cdsagenda5.ictp.trieste.it/full_display.php?ida=a12193
Test
Lines and curves can be detected using techniques like Hough transform and ellipse fitting. Color can be represented in models like RGB or HSI and analyzed using histograms. Texture is described using features such as edgeness, co-occurrence matrices, and statistics like energy, entropy, and contrast computed from the matrices.
2-Rainbow Domination of Hexagonal Mesh Networks
A 2-rainbow domination function of a graph G is a function f that assigns to each vertex a set of colors chosen from the set {1, 2} i.e. f:V(G)→P({1,2} ) , such that for any v∈V(G),f(v)=∅; implies ⋃_(u∈N(v))▒〖f(u)={1,2}.〗 The 2-rainbow domination number 〖 γ〗_r2 (G) of a graph G is the minimum w(f)=∑_(vV(G))▒〖|f(V)| , 〗over all such functions f. The Hexagonal networks are popular mesh-derived parallel architectures. In this paper we present an upper bound for the 2-rainbow domination number of hexagonal networks.
A Quest for Subexponential Time Parameterized Algorithms for Planar-k-Path: F...
The document summarizes a talk on obtaining subexponential time algorithms for NP-hard problems on planar graphs. It discusses using treewidth and tree decompositions to solve problems like 3-coloring in 2O(√n) time on n-vertex planar graphs. It also discusses the exponential time hypothesis and how it implies lower bounds, showing these algorithms are optimal up to constant factors in the exponent. The document outlines several chapters, including using grid minors and bidimensionality to obtain 2O(√k) algorithms for problems like k-path, even for some W[1]-hard problems parameterized by k.
Entropy based measures for graphs
In many scientific areas, systems can be described as interaction networks where elements correspond to vertices and interactions to edges. A variety of problems in those fields can deal with network comparison and characterization.
The problem of comparing and characterizing networks is the task of measuring their structural similarity and finding characteristics which capture structural information. In order to analyze complex networks, several methods can be combined, such as graph theory, information theory, and statistics.
In this project, we present methods for measuring Shannon’s entropy of graphs.
LADDER AND SUBDIVISION OF LADDER GRAPHS WITH PENDANT EDGES ARE ODD GRACEFUL
The ladder graph plays an important role in many applications as Electronics, Electrical and Wireless
communication areas. The aim of this work is to present a new class of odd graceful labeling for the ladder
graph. In particular, we show that the ladder graph Ln with m-pendant Ln mk1 is odd graceful. We also
show that the subdivision of ladder graph Ln with m-pendant S(Ln) mk1 is odd graceful. Finally, we
prove that all the subdivision of triangular snakes ( k snake ) with pendant edges
1
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Paper computer
The document provides instructions for a written test for admission to the Tata Institute of Fundamental Research. It describes that the test will have three parts, with Part A being common to both Computer Science and Systems Science streams. Part B will cover topics specific to Computer Science, while Part C will cover topics specific to Systems Science. Sample topics and questions are provided for each stream. The test will be three hours, multiple choice, and involve negative marking for incorrect answers. Calculators will not be permitted.
Paper computer
The document provides instructions for a written test for admission to the Tata Institute of Fundamental Research. It describes that the test will have three parts, with Part A being common to both Computer Science and Systems Science streams. Part B will cover topics specific to Computer Science, while Part C will cover topics specific to Systems Science. Sample topics and questions are provided for each stream. The test will be three hours, multiple choice, and involve negative marking for incorrect answers. Calculators will not be permitted.
lecture 15
The document discusses two algorithms for matrix multiplication and finding the median of an unsorted list:
1) Strassen's algorithm improves on the traditional O(n^3) matrix multiplication algorithm by using divide and conquer to achieve O(n^lg7) time complexity.
2) Finding the median can be done in expected O(n) time using quickselect, or deterministically in O(n) time by choosing the median of medians as the pivot.
Similar to T -Coloring on Certain Graphs (20)
On algorithmic problems concerning graphs of higher degree of symmetry
On algorithmic problems concerning graphs of higher degree of symmetry
ON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRY
ON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRY
Application of Intuitionistic Fuzzy Set With n-Parameters in Medical Diagnosis
Application of Intuitionistic Fuzzy Set With n-Parameters in Medical Diagnosis
GREY LEVEL CO-OCCURRENCE MATRICES: GENERALISATION AND SOME NEW FEATURES
GREY LEVEL CO-OCCURRENCE MATRICES: GENERALISATION AND SOME NEW FEATURES
Hyers ulam rassias stability of exponential primitive mapping
Hyers ulam rassias stability of exponential primitive mapping
AN APPLICATION OF Gd -METRIC SPACES AND METRIC DIMENSION OF GRAPHS
AN APPLICATION OF Gd -METRIC SPACES AND METRIC DIMENSION OF GRAPHS
Computational Information Geometry on Matrix Manifolds (ICTP 2013)
Computational Information Geometry on Matrix Manifolds (ICTP 2013)
A Quest for Subexponential Time Parameterized Algorithms for Planar-k-Path: F...
A Quest for Subexponential Time Parameterized Algorithms for Planar-k-Path: F...
LADDER AND SUBDIVISION OF LADDER GRAPHS WITH PENDANT EDGES ARE ODD GRACEFUL
LADDER AND SUBDIVISION OF LADDER GRAPHS WITH PENDANT EDGES ARE ODD GRACEFUL
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SPSS: An Effective Tool to Compute Learning Outcomes in Acadamics
OBJECTIVES: To determine how SPSS can be a useful tool to evaluate Course Learning Outcomes and analyze student's performance with the help of KS test, histogram and skewness of the tool. It is also contributing to facilitate Deep learning amongst students with the help of achievement of normal distribution of grades. METHODS: Comparative analysis is done using course specification, syllabus, assessment method(Final Exam Question paper is taken as tool) and result statistics for the course of STATISTICAL PROGRAMMING (217 CSM), 3rd year (level 5 course) that is part of BCS curriculum in department of Computer Science, College of computer Science in King Khalid University. Teaching strategies are compared for two years. i.e; 2013 and 2014. Moreover the research inferences the relevance of application of NCAAA standards in meeting Learning outcomes of any module for department of Computer Science, CCS, KKU. RESULTS: Comparison of question papers depict that now students are motivated to have deep learning in terms of understanding, solving, reasoning based questions as contrast to shallow learning (memorized questions) in the past. It is indeed improving Learning domains too (Knowledge, Cognitive, Interpersonal and Communication skills) more effectively than in the past. Also grade distribution is Normal with well-defined curve for 2014 as compared to 2013 having variation in Standard deviation too. Teacher centered learning lead to surface learning. After NCAA standards implementation, there is more focus on learned centered teaching. Design of learning assessments is in such a way that it should meet learning outcomes successfully. CONCLUSIONS: The research is contributing in flourishing the personality of the students to produce qualified graduates with excellence in communication, logically and technically capable enough to share their knowledge nationally and internationally with much more confidence at any platform. Also it is opening door for researchers to evaluate their performance with the help of SPSS in academics or anywhere where we want to gather.
BugLoc: Bug Localization in Multi Threaded Application via Graph Mining Approach
Detection of software bugs and its occurrences, repudiation and its root cause is a very difficult process in large multi threaded applications. It is a must for a software developer or software organization to identify bugs in their applications and to remove or overcome them. The application should be protected from malfunctioning. Many of the compilers and Integrated Development Environments are effectively identifying errors and bugs in applications while running or compiling, but they fail in detecting actual cause for the bugs in the running applications. The developer has to reframe or recreate the package with the new one without bugs. It is time consuming and effort is wasted in Software Development Life Cycle. There is a possibility to use graph mining techniques in detecting software bugs. But there are many problems in using graph mining techniques. Managing large graph data, processing nodes with links and processing subgraphs are the problems to be faced in graph mining approach. This paper presents a novel algorithm named BugLoc which is capable of detecting bugs from the multi threaded software application. The BugLoc uses object template to store graph data which reduces graph management complexities. It also uses substring analysis method in detecting frequent subgraphs. The BugLoc then analyses frequent subgraphs to detect exact location of the software bugs. The experimental results show that the algorithm is very efficient, accurate and scalable for large graph dataset.
Motion Object Detection Using BGS Technique
The detection of moving object is an important in many applications such as a vehicle identification in a traffic monitoring system,human detection in a crime branch.In this paper we identify a vehicle in a video sequence.This paper briefly explain the detection of moving vehicle in a video.We introduce a new algorithm BGS for idntifying vehicle in a video sequence. First, we differentiate the foreground from background in frames by learning the background. Then, the image is divided into many small nonoverlapped frames. The candidates of the vehicle part can be found from the frames if there is some change in gray level between the current image and the background. The extracted background subtraction method is used in subsequent analysis to detect a vehicle and classify moving vehicle.
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Dual Trapezoidal Fuzzy Number and its Applications
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Saturation Index of π(D(r,s))
Adin and Roichman [1] introduced the concept of permutation graphs and Peter Keevash, Po-Shen Loh and Benny Sudakov [2] identified some permutation graphs with maximum number of edges. Ryuhei Uehara, Gabriel Valiente, discussed on Linear structure of Bipartite Permutation Graphs and the Longest Path Problem [3]. If i, j belongs to a permutation on p symbols {1, 2, …, p} and i is less than j then there is an edge between i and j in the permutation graph if i appears after j in the sequence of permutation. So the line of i crosses the line of j in the permutation. Hence there is a one to one correspondence between crossing of lines in the permutation and the edges of the corresponding permutation graph. In this paper we found the conditions for a permutation to realize a double star and comprehend the algorithm to determine the satuation index of the permutation. AMS Subject Classification (2010): 05C35, 05C69, 20B30.
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Format Preserving Encryption for Small Domain
Cryptography is important in communicating secured information that is vulnerable to distortion. The main goal of this paper is encrypting the small arbitrary length data without any changes in the length and data type. We propose a flexible arbitrary length small domain block cipher (FPESD). FPESD is based on AES Algorithm. The resulting cipher text is the same as input plaintext. Here, we use Galois finite field GF (28) and format preserving key to implement FPE. For decryption format preserving key is used along with cipher text and secret key.
Intuitionistic Double Layered Fuzzy Graph and its Cartesian Product Vertex De...
The intuitionistic double layered fuzzy graph gives a 3-D structural view to a fuzzy graph. To find the cartesian product of two intuitionistic double layered fuzzy graphsis a challenging one. In this paper under some condition,a simple method to find the vertex degree of cartesian product of two IDLFG without the cartesianproduct structure is given.
Clustering and Classification in Support of Climatology to mine Weather Data ...
Knowledge of climate data of region is essential for business, society, agriculture, pollution and energy applications. Climate is not fixed, the fluctuation in the climate can be seen from year to year.The data mining application help meteorological scientists to predictaccurate weather forecast and decisions and also provide more performance and reliability than any other methods. The data mining techniques applied on weather data are efficient when compare to the mathematical models used. Various techniques of data mining are applied on climate data to support weather forecasting, climate scientists, agriculture, vegetation, water resources and tourism. The aim of this paper is to provide a review report on various data mining techniques applied on weather data set in support of weather prediction and climate analysis.
Test Suite Reduction Based on Fault Detection with Cost Optimization
Test Suite Reduction is an optimization technique to identify the minimally sized subset of test cases with enforced constraints involved. The main purpose of test suite reduction is to deduce increased number of test cases that in turn increase the time and cost involved in execution. Fault Detection is the method of identifying the faults that affect the outcome of the system either logically or syntactically. This paper focuses on the reduction of the test suite that has high fault identification rates and also incurs low cost of execution of test cases. The proposed approach includes a new parameter Fault Detection Effectiveness to identify fault rates of test suite; an algorithm for test suite reduction based on priority of requirements; a low cost framework to identify the execution of test cases with minimum budget. Thus, the proposed work defines a test suite that has high fault detection effectiveness providing maximum coverage to requirements at minimum cost of execution.
Artifact Facet Ranking and It’s Applications
As the e-commerce is gaining popularity various customer surveys of objects are currently accessible on the Internet. These surveys are frequently disordered, prompting challenges in knowledge discovery and object assessment. This article proposes an object feature positioning skeleton, which consequently recognizes the critical features of an object from online customer surveys. The critical object features are recognized focused around two perceptions: 1) they are normally commented extensively by customers and 2) customer suppositions on the critical feature significantly impact their general assessments on the object. Specifically, given the customer surveys of an item, we first extract the object feature by a shallow reliance parser and focus customer suppositions on these features through an opinion characterizer. We then create a probabilistic object feature positioning calculation to identify the criticalness of perspectives by at the same time considering feature recurrence and the impact of customer opinion given to every feature over their general opinion. The experimental results on 3 popular products demonstrate the effectiveness of our approach.
Effectual Data Integrity Checking Technique Based on Number Theory
Cloud Computing makes data really mobile and a client can simply access a chosen cloud with any internet accessible device. The espousal and dispersion of Cloud computing are threatened by unresolved security issues that affect both the cloud provider and the cloud user. The integrity of data stored in the cloud is one of the challenges to be addressed before the novel storage model is applied widely. This paper analyses the efficiency issues and security dodge of an existing scheme and proposes an amended data integrity scheme using improved RSA and number theory based concept for cloud archive. This scheme of protecting the integrity of guest virtual machines can be agreed upon by both the cloud and the customer and can be incorporated in the service level agreement (SLA).Based onhypothetical analysis, we demonstrate that the proposedscheme has a provably safe and highly adroit dataintegrity inspection measure.
EDM: Finding Answers to Reduce Dropout Rates in Schools
The focus of this paper is to get a bird's eye view of the various factors that could be analyzed to present schools and governments timely indicators of school dropouts. With the help of EDM, one could have access to enormous amounts of data. The crux of the matter would be to identify the data in line with plans and ideas that would eventually lead to the formulation of policies that enhance the teaching and learning process.
Analysis of Effort Estimation Model in Traditional and Agile (USING METRICS ...
Agile software development has been gaining popularity and replacing the traditional methods of developing software. However, estimating the size and effort in Agile software development still remains a challenge. Measurement practices in agile methods are more important than traditional methods, because lack of appropriate an effective measurement practices will increase the risk of project. This paper discuss about traditional and agile effort estimation model, and analysis done on how the metrics are used in estimation process. The paper also suggeststo use object point and use case point to improve accuracy of effort in agile software development.
Multi-Biometric Authentication through Hybrid Cryptographic System
In most of the real time scenario, authentication is required very much so as to enable the person to access a private database of any type. Researchers have started using biometric traits for the authenticity of a person. The various biometrics traits available are face, iris, palm print, hand geometry, fingerprint, ear etc., But the application that uses a single biometric trait often have to challenge with noisy data, restricted degrees of autonomy, non-universality of the biometric trait and intolerable error rates. Multi biometric systems seem to lighten these drawbacks by providing multiple verification of the same personality. Biometric fusion is the use of multiple biometric inputs or methods of processing to improve performance. In this paper, a novel combination of Multi biometric fusion, Symmetric Cryptography and Asymmetric Cryptography is proposed. A fused biometric image is encrypted using Advanced Encryption Standard whose secret key is in turn encrypted using elliptic curve cryptography which is considered as one of the efficient Asymmetric cryptographic algorithms. As the symmetric cryptographic algorithms involve in key exchange mechanism, the secret key is proposed to be secured by using ECC. Hence, the system proposed is expected to be more secured to store the biometric traits of an individual.
Rule Based Approach for Stock Selection: An Expert System
This document summarizes a research paper that proposes a rule-based expert system for stock selection. The system would use artificial intelligence techniques to solve problems in the specialized domain of the stock market. It highlights the need for an expert system in stock markets to help show a country's economic growth. The paper presents a rule-based approach for the expert system to select particular stocks.
Rule Based Approach for Stock Selection: An Expert System
Artificial Intelligence (AI) is one of most emerging field in the research field and has given boost to the most growing technology known as Expert System (ES). An ES is a computer based program that is built to solve the problems in specialized domain. There are various expert systems in diversified areas like medical, engineering, agriculture, science etc. have been developed over the last five decades. Stock market is also one of the most important growing areas which shows the country’s economic growth and also shows the need of expert system. This paper mainly highlights the need of expert system in stock market as well as rule based expert system approach for particular stock selection.
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Developing and Porting multi-grid solver for CFD application on Intel-MIC pla...
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Classification and Prediction of Heart Disease from Diabetes Patients using H...
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Clustering and Classification in Support of Climatology to mine Weather Data ...
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Test Suite Reduction Based on Fault Detection with Cost Optimization
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Effectual Data Integrity Checking Technique Based on Number Theory
EDM: Finding Answers to Reduce Dropout Rates in Schools
EDM: Finding Answers to Reduce Dropout Rates in Schools
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Analysis of Effort Estimation Model in Traditional and Agile (USING METRICS ...
Multi-Biometric Authentication through Hybrid Cryptographic System
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ESR spectroscopy in liquid food and beverages.pptx
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
The technology uses reclaimed CO₂ as the dyeing medium in a closed loop process. When pressurized, CO₂ becomes supercritical (SC-CO₂). In this state CO₂ has a very high solvent power, allowing the dye to dissolve easily.
Direct Seeded Rice - Climate Smart Agriculture
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ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...
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Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency on the 07.06.2024.
Speaker: Diego Blas (IFAE/ICREA)
Title: Gravitational wave detection with orbital motion of Moon and artificial
Abstract:
In this talk I will describe some recent ideas to find gravitational waves from supermassive black holes or of primordial origin by studying their secular effect on the orbital motion of the Moon or satellites that are laser ranged.8.Isolation of pure cultures and preservation of cultures.pdf
Isolation of pure culture, its various method.
11.1 Role of physical biological in deterioration of grains.pdf
Storagedeteriorationisanyformoflossinquantityandqualityofbio-materials.
Themajorcausesofdeteriorationinstorage
•Physical
•Biological
•Mechanical
•Chemical
Storageonlypreservesquality.Itneverimprovesquality.
Itisadvisabletostartstoragewithqualityfoodproduct.Productwithinitialpoorqualityquicklydepreciates
快速办理(UAM毕业证书)马德里自治大学毕业证学位证一模一样
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Applied Science: Thermodynamics, Laws & Methodology.pdf
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
Randomised Optimisation Algorithms in DAPHNE
Slides from talk:
Aleš Zamuda: Randomised Optimisation Algorithms in DAPHNE .
Austrian-Slovenian HPC Meeting 2024 – ASHPC24, Seeblickhotel Grundlsee in Austria, 10–13 June 2024
https://ashpc.eu/
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...
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hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skillsDescribing and Interpreting an Immersive Learning Case with the Immersion Cub...
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
Bob Reedy - Nitrate in Texas Groundwater.pdf
Presented at June 6-7 Texas Alliance of Groundwater Districts Business Meeting
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdf
Ozturkcan, S., Berndt, A., & Angelakis, A. (2024). Mending clothing to support sustainable fashion. Presented at the 31st Annual Conference by the Consortium for International Marketing Research (CIMaR), 10-13 Jun 2024, University of Gävle, Sweden.
The cost of acquiring information by natural selection
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
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aziz sancar nobel prize winner: from mardin to nobel
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T -Coloring on Certain Graphs
- 1. International Journal of Computing Algorithm, Vol 3(2), June 2014 ISSN(Print):2278-2397 Website: www.ijcoa.com T -Coloring on Certain Graphs Antony Xavier1 , R.C. Thivyarathi2 1 Department of Mathematics, Loyola College, Chennai 2 Department of Science and Humanities, R.M.D Engineering College, Chennai Abstract Given a graph = ( , ) and a set T of non-negative integers containing 0, a T -coloring of G is an integer function of the vertices of G such that | ( ) − ( )| ∉ whenever ∈ . The edge-span of a -coloring is the maximum value of | ( ) − ( )| over all edges , and the - edge-span of a graph G is the minimum value of the edge-span among all possible T -colorings of G. This paper discusses the T -edge span of the folded hypercube network of dimension n for the k-multiple-of-s set, = {0, , 2 ,… } ∪ , where s and ≥ 1 and ⊆ { + 1, + 2, … − 1}.