Classification of Handwritten Characters: Definition, Identification and Utilisation of Regional Characteristics for Lower Case English Characters

A new procedure for the classification of lower case English language characters is presented in this work . The character image is binarised and the binary image is further grouped into sixteen smaller areas ,called Cells . Each cell is assigned a name depending upon the contour present in the cell and occupancy of the image contour in the cell. A data reduction procedure called Filtering is adopted to eliminate undesirable redundant information for reducing complexity during further processing steps . The filtered data is fed into a primitive extractor where extraction of primitives is done . Syntactic methods are employed for the classification of the character . A decision tree is used for the interaction of the various components in the scheme . 1ike the primitive extraction and character recognition. A character is recognized by the primitive by primitive construction of its description . Openended inventories are used for including variants of the characters and also adding new members to the general class . Computer implementation of the proposal is discussed at the end using handwritten character samples . Results are analyzed and suggestions for future studies are made. The advantages of the proposal are discussed in detail .

The power of literature : A literature review on the incorporation of children’s literature in the lower-elementary English as a Second- Language classroom.

The use of children’s literature in the English as a Second language (ESL) classroom is a widely used teaching method. This study aims to find research relating to the incorporation of children’s literature in the lower elementary English as a secondlanguage classroom. The main questions are how children’s literature can be used in the classroom and what potential benefits it has. A systematic literature review was carried out and research from six studies was included. The included studies, analyzed in this thesis, involved children aged 6-9, who are learning a second language. The results reveal multiple benefits with the use of children’s literature in the lower elementary ESL classroom, such as vocabulary gains, improved speaking and listening skills, increased motivation and better pronunciation. The results also present a few suggestions on how to incorporate the literature in the classroom, where reading aloud to the students appears to be the most common practice. It also appears common to have post-reading sessions that include discussions about what has been read.

Lower-grade English, grammar, analysis, punctuation, paraphrasing, derivation...

Mode of access: Internet.

Seventeen Irish sermons ... in English characters ... /

O'Reilly's revised edition first appeared in 1820.

Interference of Native Language in English Language Acquisition in Santa Cruz and Calheta Secondary schools

This study analyzes the interference of native language when students are learning a foreign language, in this case English. According to this study, interferences from the native language such as lexical-semantic and phonological are not infrequent. It is one of the main barriers that create difficulties when learning English. The outcome of this study is presented at the end of the Monografia: to provide English-language teachers and students the most significant linguistic interferences that occur during the learning process of English language. Furthermore, some teaching strategies are discussed to avoid the biases that appear due to the interferences of the native language. As a result of this study, I hope to contribute to the learning success among English-language students.

Alverata: Latin, Greek and Cyrillic typeface

Alverata: a typeface design for Europe This typeface is a response to the extraordinarily diverse forms of letters of the Latin alphabet in manuscripts and inscriptions in the Romanesque period (c. 1000–1200). While the Romanesque did provide inspiration for architectural lettering in the nineteenth century, these letterforms have not until now been systematically considered and redrawn as a working typeface. The defining characteristic of the Romanesque letterform is variety: within an individual inscription or written text, letters such as A, C, E and G might appear with different forms at each appearance. Some of these forms relate to earlier Roman inscriptional forms and are therefore familiar to us, but others are highly geometric and resemble insular and uncial forms. The research underlying the typeface involved the collection of a large number of references for lettering of this period, from library research and direct on-site ivestigation. This investigation traced the wide dispersal of the Romanesque lettering tradition across the whole of Europe. The variety of letter widths and weights encountered, as well as variant shapes for individual letters, offered both direct models and stylistic inspiration for the characters and for the widths and weight variants of the typeface. The ability of the OpenType format to handle multiple stylistic variants of any one character has been exploited to reflect the multiplicity of forms available to stonecutters and scribes of the period. To make a typeface that functions in a contemporary environment, a lower case has been added, and formal and informal variants supported. The pan-European nature of the Romanesque design tradition has inspired an pan-European approach to the character set of the typeface, allowing for text composition in all European languages, and the typeface has been extended into Greek and Cyrillic, so that the broadest representation of European languages can be achieved.

Independent Domain of Symmetric Encryption using Least SignificantBit : Computer Vision, Steganography and Cryptography Techniques

The rapid development of data transfer through internet made it easier to send the data accurate and faster to the destination. There are many transmission media to transfer the data to destination like e-mails; at the same time it is may be easier to modify and misuse the valuable information through hacking. So, in order to transfer the data securely to the destination without any modifications, there are many approaches like cryptography and steganography. This paper deals with the image steganography as well as with the different security issues, general overview of cryptography, steganography and digital watermarking approaches.  The problem of copyright violation of multimedia data has increased due to the enormous growth of computer networks that provides fast and error free transmission of any unauthorized duplicate and possibly manipulated copy of multimedia information. In order to be effective for copyright protection, digital watermark must be robust which are difficult to remove from the object in which they are embedded despite a variety of possible attacks. The message to be send safe and secure, we use watermarking. We use invisible watermarking to embed the message using LSB (Least Significant Bit) steganographic technique. The standard LSB technique embed the message in every pixel, but my contribution for this proposed watermarking, works with the hint for embedding the message only on the image edges alone. If the hacker knows that the system uses LSB technique also, it cannot decrypt correct message. To make my system robust and secure, we added cryptography algorithm as Vigenere square. Whereas the message is transmitted in cipher text and its added advantage to the proposed system. The standard Vigenere square algorithm works with either lower case or upper case. The proposed cryptography algorithm is Vigenere square with extension of numbers also. We can keep the crypto key with combination of characters and numbers. So by using these modifications and updating in this existing algorithm and combination of cryptography and steganography method we develop a secure and strong watermarking method. Performance of this watermarking scheme has been analyzed by evaluating the robustness of the algorithm with PSNR (Peak Signal to Noise Ratio) and MSE (Mean Square Error) against the quality of the image for large amount of data. While coming to see results of the proposed encryption, higher value of 89dB of PSNR with small value of MSE is 0.0017. Then it seems the proposed watermarking system is secure and robust for hiding secure information in any digital system, because this system collect the properties of both steganography and cryptography sciences.

English as a Second Language and Children’s literature : An empirical study on Swedish elementary school teachers’ methods and attitudes towards the use of children’s literature in the English classroom

Previous research has shown multiple benefits and challenges with the incorporation of children’s literature in the English as a Second language (ESL) classroom. In addition, the use of children’s literature in the lower elementary English classroom is recommended by the Swedish National Agency for Education. Consequently, the current study explores how teachers in Swedish elementary school teach ESL through children’s literature. This empirical study involves English teachers from seven schools in a small municipality in Sweden. The data has been collected through an Internet survey. The study also connects the results to previous international research, comparing Swedish and international research. The results suggest that even though there are many benefits of using children’s literature in the ESL classroom, the respondents seldom use these authentic texts, due to limited time and a narrow supply of literature, among other factors. However, despite these challenges, all of the teachers claim to use children’s literature by reading aloud in the classroom. Based on the results, further research exploring pupils’ thoughts in contrast to teachers would be beneficial. In addition, the majority of the participants expressed that they wanted more information on how to use children’s literature. Therefore, additional research relating to beneficial methods of teaching English through children’s literature, especially in Sweden, is recommended.

Neural network based off-line handwritten text recognition system

This dissertation introduces a new system for handwritten text recognition based on an improved neural network design. Most of the existing neural networks treat mean square error function as the standard error function. The system as proposed in this dissertation utilizes the mean quartic error function, where the third and fourth derivatives are non-zero. Consequently, many improvements on the training methods were achieved. The training results are carefully assessed before and after the update. To evaluate the performance of a training system, there are three essential factors to be considered, and they are from high to low importance priority: (1) error rate on testing set, (2) processing time needed to recognize a segmented character and (3) the total training time and subsequently the total testing time. It is observed that bounded training methods accelerate the training process, while semi-third order training methods, next-minimal training methods, and preprocessing operations reduce the error rate on the testing set. Empirical observations suggest that two combinations of training methods are needed for different case character recognition. Since character segmentation is required for word and sentence recognition, this dissertation provides also an effective rule-based segmentation method, which is different from the conventional adaptive segmentation methods. Dictionary-based correction is utilized to correct mistakes resulting from the recognition and segmentation phases. The integration of the segmentation methods with the handwritten character recognition algorithm yielded an accuracy of 92% for lower case characters and 97% for upper case characters. In the testing phase, the database consists of 20,000 handwritten characters, with 10,000 for each case. The testing phase on the recognition 10,000 handwritten characters required 8.5 seconds in processing time.

Digital literacy matters. Increasing workforce productivity through blended English language programmes

Current workplace demands newer forms of literacies that go beyond the ability to decode print. These involve not only competence to operate digital tools, but also the ability to create, represent, and share meaning in different modes and formats; ability to interact, collaborate and communicate effectively using digital tools, and engage critically with technology for developing one’s knowledge, skills, and full participation in civic, economic, and personal matters. This essay examines the application of the ecology of resources (EoR) model for delivering language learning outcomes (in this case, English) through blended classroom environments that use contextually available resources. The author proposes the implementation of the EoR model in blended learning environments to create authentic and sustainable learning environments for skilling courses. Applying the EoR model to Indian skilling instruction contexts, the article discusses how English language and technology literacy can be delivered using contextually available resources through a blended classroom environment. This would facilitate not only acquisition of language and digital literacy outcomes, but also consequent content literacy gain to a certain extent. This would ensure satisfactory achievement of not only communication/language literacy and technological literacy, but also active social participation, lifelong learning, and learner autonomy.

Effects of Different Postural Conditions on Handwriting Variability

During their career, forensic document examiners will inevitably be confronted with handwriting carried out under unusual conditions (UnC). A questioned document signed on top of a car or on a vertical surface like a wall are two examples. These atypical circumstances may give rise to more variability of the signatures or written words, in particular if the body was in non-traditional writing position without the traditional support. Few studies were devoted to handwriting variability under unusual writing conditions. The current study investigates whether individual variability changes with special writing conditions. In a previous study (Sciacca & al, 2009), we found that eight repetitions were sufficient to obtain a correct estimation of the variance. In the present study, twelve subjects were asked to write two word sets eight times in upper and eight times in lower case, under different conditions : sitting and writing on a horizontal (usual condition UC) or vertical support; and standing, kneeling or laying while writing on a horizontal or vertical support (unusual conditions UnC). Words were written on a pen tablet, normalized in space and time and then averaged. The variance of the eight words was measured under all conditions. Results showed only an increase in variability under the laying and kneeling / vertical UnC. Within the five other postural conditions tested, handwriting was shown to be very stable.

One-sided tolerance interval in a two-way balanced nested model with mixed effects

In many research areas (such as public health, environmental contamination, and others) one deals with the necessity of using data to infer whether some proportion (%) of a population of interest is (or one wants it to be) below and/or over some threshold, through the computation of tolerance interval. The idea is, once a threshold is given, one computes the tolerance interval or limit (which might be one or two - sided bounded) and then to check if it satisfies the given threshold. Since in this work we deal with the computation of one - sided tolerance interval, for the two-sided case we recomend, for instance, Krishnamoorthy and Mathew [5]. Krishnamoorthy and Mathew [4] performed the computation of upper tolerance limit in balanced and unbalanced one-way random effects models, whereas Fonseca et al [3] performed it based in a similar ideas but in a tow-way nested mixed or random effects model. In case of random effects model, Fonseca et al [3] performed the computation of such interval only for the balanced data, whereas in the mixed effects case they dit it only for the unbalanced data. For the computation of twosided tolerance interval in models with mixed and/or random effects we recomend, for instance, Sharma and Mathew [7]. The purpose of this paper is the computation of upper and lower tolerance interval in a two-way nested mixed effects models in balanced data. For the case of unbalanced data, as mentioned above, Fonseca et al [3] have already computed upper tolerance interval. Hence, using the notions persented in Fonseca et al [3] and Krishnamoorthy and Mathew [4], we present some results on the construction of one-sided tolerance interval for the balanced case. Thus, in order to do so at first instance we perform the construction for the upper case, and then the construction for the lower case.