• Journal of Computing Science and Engineering
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• v.5 no.2
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• pp.141-149
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• 2011

Many distributed and heterogeneous services and devices are accessible in ubiquitous computing environment, so interoperating those services and devices is one of the key tasks in implementing ubiquitous applications. We used to use script languages in integrating such interoperating components and services. However currently available most script languages are not suitable for ubiquitous environment because there are so diverse forms of interoperation targets such as service objects, web, legacy objects and programmable devices. So it is worthwhile designing a new script language well-suited to ubiquitous environment. In this paper, we propose a new script language, called Ubiscript, for the ubiquitous environment. We develop and adopt several unique language features such as remote scope, multiple contexts, web and legacy objects, remote exception handling, etc. in Ubiscript to overcome the limitations of conventional script languages. In this paper, we also describe the implementation of Ubiscript and its runtime system. A couple of ubiquitous applications were developed in Ubiscript, and the applications are tested on the runtime system. According to our experiences and evaluation, Ubiscript turned out to have a high potential in its expression power and contribution to improving ubiquitous application developers' productivity.

• International Journal of Knowledge Content Development & Technology
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• v.8 no.3
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• pp.53-67
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• 2018

Local languages based information storage and retrieval system is essential for any online digital repository system. This paper reports the development of an interface in Bengali that allows users not only browsing and searching Indic-script based documents but also allows administrator performing various system level operations. This paper briefly describes the origin and key characteristics of Indic-scripts along with their encoding in Unicode standard with special reference to Bengali language. It also demonstrates the development processes of Bengal-script based information representation and retrieval (IRR) system viz. BURA (Burdwan University Research Archive) using different open standard and open source software (OSS) including different factors essential for building such successful Indic-script based multilingual digital libraries. The suggested strategies may help digital library developers to design an appropriate multi-script based information access services in any other Indic-script based languages.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.9
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• pp.3701-3720
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• 2015

A system for the recognition of machine printed Arabic script is proposed. The Arabic script is shared by three languages i.e., Arabic, Urdu and Farsi. The three languages have a descent amount of vocabulary in common, thus compounding the problems for identification. Therefore, in an ideal scenario not only the script has to be differentiated from other scripts but also the language of the script has to be recognized. The recognition process involves the segregation of Arabic scripted documents from Latin, Han and other scripted documents using horizontal and vertical projection profiles, and the identification of the language. Identification mainly involves extracting connected components, which are subjected to Principle Component Analysis (PCA) transformation for extracting uncorrelated features. Later the traditional K-Nearest Neighbours (KNN) algorithm is used for recognition. Experiments were carried out by varying the number of principal components and connected components to be extracted per document to find a combination of both that would give the optimal accuracy. An accuracy of 100% is achieved for connected components >=18 and Principal components equals to 15. This proposed system would play a vital role in automatic archiving of multilingual documents and the selection of the appropriate Arabic script in multi lingual Optical Character Recognition (OCR) systems.

• The Journal of Korean Association of Computer Education
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• v.5 no.3
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• pp.69-77
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• 2002

It has been important of a web programming education with the rapid development of the internet. The learning system for the web programming education needs that develops web programming and can check the results on the web. In this paper. I suggested the learning system that can confirm the editable script result on the web client-side languages as well as server-side languages. The reference scripts that refer the web elements to study the web language make a database with an hierarchical structure. The reference script database enhances the utility of the script as managing the database system. The reference scripts can verify the results with the editable state that the structure of the web documents is altered and the elements, attributes, attributes's values of web languages is changed. The reference script tests can ascertain the adaption of it with the frame test and the window test.

• Journal of the Korea Institute of Military Science and Technology
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• v.12 no.5
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• pp.590-600
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• 2009

In the simulation of underwater vehicles such as a submarine or a torpedo, various type of simulations like an engineering level simulation for predicting the performance precisely and an engagement level simulation for examining the effectiveness of a certain tactic is required. For this reason, a tactics manager which can change the behavior of a simulation model according to external tactics is needed. In this study the tactics manager supporting a script language and engine which can represent various tactics and can help users define external input tactics for the tactic manager easily is suggested. Python and Lua which are representative among script languages have been compared and analyzed from the viewpoint of a tactic manage, and the tactic manger using the script engines of those script languages was implemented. To demonstrate the effectiveness of the tactic manager, a target motion analysis simulation of the warfare between a submarine and a surface ship.

• The Journal of Korean Association of Computer Education
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• v.7 no.3
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• pp.15-22
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• 2004

This study developed HanScript, which is an educational Hangul programming language, in order to make programs easily and conveniently and applied it to the school fields. To evaluate HanScript, additionally, the researcher divided the properties of educational programming languages into easiness to read, easiness to write and easiness to debug and, based on them, compared HanScript with Visual Basic. According to the result, HanScript was expressed in Korean language style, so was easier to read and debug than Visual Basic. But it was not different from Visual Basic in debugging. Due to fewer libraries compared to Visual Basic, however, it was difficult to implement complex functions using HanScript. In addition, HanScript did not include an editor to edit source codes. Thus, if HanScript is equipped with rich libraries, detailed debugging information and an editor for source code edition, it will be a useful educational programming language.

• Computational Structural Engineering
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• v.20 no.2 s.76
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• pp.44-54
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• 2007

• Korean Linguistics
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• v.80
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• pp.125-150
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• 2018

This paper discusses several prerequisites for recording other languages by using Hunminjeongum (Hangeul). The scientific, systematic, and practical features of Hunminjeongum is undoubtedly obvious. Such a view of Hunminjeongeum is based on its iconicity, featural property and non-linearity. However, the existing conviction that Hunminjeongeum can transcribe all human sounds or that Hunminjeongeum is the only script which is easy for anyone to learn requires a more rigorous consideration. Given the fact that all scripts can be evaluated as equal, without one being more superior than the other, all scripts are optimized for recording the language in its own given linguistic context. Further, the function of a script is not just limited in a simple representation of a language. Adding new letters into the system of Hunminjeongeum or maintaining its current mode of notation can be problematic. First, it is important to solve computer-related issues: the registration of Hunminjeongum into the computer system as well as its output, problems regarding unicode, the new developments required for input devices, keyboards, fonts, and computer programs.

• Journal of KIISE:Software and Applications
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• v.37 no.5
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• pp.394-402
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• 2010

JavaScript is one of the most popular languages to develope web sites and web applications. Since applicationss written in JavaScript are sent to clients as the original source code, they are easily exposed to plagiarists. Therefore, a method to detect plagiarized JavaScript programs is necessary. The conventional program dependency graph(PDG) based approaches are not suitable to analyze JavaScript programs because they do not reflect dynamic features of JavaScript. They also generate false positives in some cases and show inefficiency with large scale search space. We devise a JavaScript specific PDG(JS PDG) that captures dynamic features of JavaScript and propose a JavaScript plagiarism detection method for precise and fast detection. We evaluate the proposed plagiarism detection method with experiment. Our experiments show that our approach can detect false-positives generated by conventional PDG and can prune the plagiarism search space.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.411-414
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• 2021

One of the elements of technology that has become extremely critical within the field of education today is Deep learning. It has been especially used in the area of natural language processing, with some word-representation vectors playing a critical role. However, some of the low-resource languages, such as Swahili, which is spoken in East and Central Africa, do not fall into this category. Natural Language Processing is a field of artificial intelligence where systems and computational algorithms are built that can automatically understand, analyze, manipulate, and potentially generate human language. After coming to discover that some African languages fail to have a proper representation within language processing, even going so far as to describe them as lower resource languages because of inadequate data for NLP, we decided to study the Swahili language. As it stands currently, language modeling using neural networks requires adequate data to guarantee quality word representation, which is important for natural language processing (NLP) tasks. Most African languages have no data for such processing. The main aim of this project is to recognize and focus on the classification of words in English, Swahili, and Korean with a particular emphasis on the low-resource Swahili language. Finally, we are going to create our own dataset and reprocess the data using Python Script, formulate the syllabic alphabet, and finally develop an English, Swahili, and Korean word analogy dataset.