“I kept asking myself if I felt different, if I was different. The answer was always yes. I was no longer nothing…” (Avi 221) This is a famous quote from the historical fiction book Crispin The Cross of Lead, written by Avi. This book is about a boy named Crispin, who goes through many trials and meets many people who help him find his true identity. Through the story Crispin has three “fathers” in his life, Lord Furnival, Bear, and God the Father and he learns several important things from them
I have been told throughout my life that I am abundantly prone to clumsiness. Some stories in my life are perfect evidence for this accusation, such as the time on New Years I fell off a jet ski. The Jet Ski story is now a popular anecdote in my family. Although it resulted in a minor ankle sprain the story seems to be as equally amusing if I had lost a foot. The saying “what happens in Vegas, stays in Vegas” should also apply to Mexico, for my sake. I had never been on a jet ski as of New
appendix such as graphs will be attached with the assignment. BACKGROUND AND CONCEPT Linear algebra is the study of linear transformations of linear equations which are represented in a matrix form by matrices acting on vectors. Eigenvalues, eigenvectors and Eigen space are properties of a matrix (Sharma, n.d.). The prefix “Eigen” which means “proper” or “characteristics” was originally developed in German and invented by a German mathematician. Latent roots, characteristic roots, proper values
Effective Teaching of Abstract Algebra Abstract Algebra is one of the important bodies of knowledge that the mathematically educated person should know at least at the introductory level. Indeed, a degree in mathematics always contains a course covering these concepts. Unfortunately, abstract algebra is also seen as an extremely difficult body of knowledge to learn since it is so abstract. Leron and Dubinsky, in their paper ¡§An Abstract Algebra Story¡¨, penned the following two statements,
Support Vector Machine(SVM): Over the past several years, there has been a significant amount of research on support vector machines and today support vector machine applications are becoming more common in text classification. In essence, support vector machines define hyperplanes, which try to separate the values of a given target field. The hyperplanes are defined using kernel functions. The most popular kernel types are supported: linear, polynomial, radial basis and sigmoid. Support Vector Machines
Principal Component Analysis Principal Component Analysis (PCA) is a multivariate analysis performed in purpose of reducing the dimensionality of a multivariate data set in order to recognize the shape or pattern of that data set. In other words, PCA is a powerful technique for pattern recognition that attempts to explain the variance of a large set of inter-correlated variables. It indicates the association between variables, thus, reducing the dimensionality of the data set. (Helena et al, 2000;
The performance of a paintball marker is credited by accuracy, distance, firing rate, efficiency, and design. However, one establishes these features in an order of what is most important to what is least important to their individual profile, as the marker must coincide with that person’s style of play. Where evaluations of paintball markers become prevalent is in the competitive, tournament scenario (5v5) gameplay. The most obvious evaluation to be made between markers is the open-bolt versus closed-bolt
The results of this experiment are that when comparing the average mandible length between carnivores and herbivores, the herbivores had the longer mandible length on average. Furthermore, when comparing the average eye length between herbivores and carnivores, the carnivores had larger eyes on average. In Figures 1 and 2 the x-axis represent the two groups of animals being tested and the y-axis represent the average diameter of the length. Figure 1 represents the average mandible length between
program, images, and figures for this project are implemented using the Matlab. Project Background: Theory of the Hough Transform The Hough transform (HT) is a powerful global method for detecting edges. It transforms between the Cartesian space and a parameter space in which a straight line (or other boundary formulation) can be defined. Line detection using Hough Transform is point‐line duality. Let’s assume the case where we have straight lines in an image. We first note that for every point (x_i
There are lots of real uses of mathematics in our life. All the mathematics terms base on counting. There is no concept of business without mathematics. We cannot deny the importance of mathematics in our daily life. Wherever we go (for example when we want to purchase something in the market), we need mathematics. And nowadays, technology is very important in our daily life, hence its system used mathematical rules. So we cannot deny the importance of mathematics in real life. My topic for this
Linear algebra is used in the organization and sorting of these web pages when storing them in an internet search database. The vector space model;is used to enhance search results by representing them as two vectors, the document vector and query vector. Each dimension in the vector corresponds to a different term. If the term occurs in the document, its value in the vector is a non-zero value. Several different ways of computing the term weights have been developed, one of which is the frequency-inverse
Information Retrieval deal with unstructured data without a well-defined logical schematic. Database have fixed schema driven in some data model such as relational model. Information Retrieval has no fixed schema and has various data models such as vector space model. Database uses structured query model. Information Retrieval uses free-form query models. Database contains rich metadata operations. Information Retrieval contain rich data operation. Query will return data. Search request will return list
[Sal86] proposed a compromise by the use of a query formulation that is neither too broad nor too narrow. Several studies [Sal82, SFW83] have extended the base Boolean model to add term weighting and output ranking features. 2.1.3.2 The Vector Space Model The vector space model (VSM) [Sal71] uses a ranking algorithm that tries to rank documents according to the overlap between the query terms and document terms [Boo82].
(sometimes higher or lower than the supply voltage). Additionally, the battery voltage declines as its stored power is drained. Switched DC to DC converters offer a method to increase voltage from a partially lowered battery voltage thereby saving space instead of using multiple batteries to accomplish the same
one DC input, one three phase transformer and minimum number of power switches (15 switches). For the proper inverter operation, high quality the gating pulses to be generated to the inverter switches. For generating gating pulses, Space Vector Pulse Width Modulation (SVPWM) techniques have been used. This paper proposes comparative studies of three phase PV inverter using PI and fuzzy logic controller and switching losses are also
An optical interferometer utilizes the phenomena of interference of light beams based on the wave nature of light. Two-beam interferometry is the most common tool for evaluating optical surfaces. The basic working principle of two beam interferometer is that two wavefronts of coherent light, one is called test object wavefront and other is called reference wavefront, recombine after travelling different paths and give an interference fringe pattern. The geometrical properties of the interference
probabilityof error. Thistechnology received a fillip when TarokhEtA introduced their space-timetrellis coding techniques and Alamouti introduced his space-time block codingtechniques to improve link-level performance based on diversity. Another boost came in form of BLAST Technology. But in this paper, our focus will lie basically on the MIMO wireless channel and how to determine its capacityunder different conditions. And space-time blocks coding techniques. We will discuss the benefits of the topic discussed
Neural Network Concept in Artificial Intelligence Abstract Since the 1980's there have been renewed research efforts dedicated to neural networks. The present interest is largely due to the difficult problems confronted by artificial intelligence, and due to the deeper understanding of how the brain works, the recent developments in theoretical models, technologies and algorithms. One motivation of neural network research is the desire to build a new breed of powerful computers to solve a variety
power, with sufficient fidelity to maintain a call of acceptable quality, without transmitting excessive power into the frequency and timeslot allocated to others. Some factors responsible for interference were identified such as: spectrum due to modulation and wideband noise, spectrum due to switching, and transmitter and receiver band spurious. The need to watch out for BTS receiver sensitivity was also highlighted [21]. Overview of Latest Development of Standard in Human Exposure to Electromagnetic
What is Pattern Recognition? It is generally easy for a person to differentiate the sound of a human voice, from that of a violin; a handwritten numeral "3," from an "8"; and the aroma of a rose, from that of an onion. However, it is difficult for a programmable computer to solve these kinds of perceptual problems. These problems are difficult because each pattern usually contains a large amount of information, and the recognition problems typically have an inconspicuous, high-dimensional, structure