• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• v.9 no.1
• /
• pp.843-847
• /
• 2005

The development of distributed application in the standardized CORBA(Common Object Request Broker Architecture) environments reduces the developing time and maintaining cost of the systems. Because of these advantages, the development of application is being progressed in the several fields using the CORBA environments. The programmers in the CORBA environments usually develop the application programs using the CORBA IDL(Interface Definition Language). The IDL files are compiled by IDL compiler and translated into the stubs and skeleton codes which are mapped onto particular target language. The stubs produced by IDL compilers processes the marshaling a data into message buffer. Before a stub can marshal a data into its message buffer, the stub must ensure that the buffer has at least enough free space to contain the encoded representation of the data. But, the stubs produced by typical IDL compilers check the amount of free buffer space before every atomic data is marshaled, and if necessary, expand the message buffer. These repeated tests are wasteful and incidence of overheads, especially if the marshal buffer space must be continually expanded. Thus, the performance of the application program may be poor. In this paper, we suggest the way that the stub code is maintain the enough free space before marshaling the data into message buffer. This methods were analyzes the overall storage requirements of every message that will be exchanged between client and server. For these analysis, in the Front End of compiler has maintain the information that the storage requirements and alignment constraints for data types. Thus, stub code is optimized and the performance of application program is increased.

• Journal of KIISE:Computing Practices and Letters
• /
• v.16 no.5
• /
• pp.541-545
• /
• 2010

AUTOSAR, a standard software platform for automotive, has been developed to manage software complexity and improve software reuseability. However reuse of test system is difficult because it is dependant on implementation language and test phase. In this paper, we suggest a test system generation method for AUTOSAR software component using TTCN-3, a standardized testing language. TTCN-3 test system is generated automatically from AUTOSAR XML containing software design information. The test system consists of TTCN-3 tester and target system and tests functionality and worst case response time of software under simulation environment. With the proposed testing techniques we can reduce time and effort to build the testing system and reuse testing environment.

• Cross-Cultural Studies
• /
• v.30
• /
• pp.187-222
• /
• 2013

In this study, From 1,560 entry-level of TOPIK standard vocabularies are 702 Sino-Korean words selected which account for 45% of the whole vocabularies in TOPIK. In addition, the same form and morpheme words in Sino-Korean are sorted out by comparing them with 5,000 words of the NEW HSK vocabularies in Sino-Korean morpheme, array position of morpheme, meaning, and usage. Those are categorized into three parts : type of completely the same form-morpheme and same meaning, use, class(189 pairs), type of completely the same form-morpheme and partly same meaning, use, class(28 pairs), and type of completely the same form-morpheme and different meaning, use, class(10 pairs). The first type of words that account for 83.26% of them are used in exactly the same way in both Chinese and Korean. Through an accurate understanding of these vocabularies could either Chinese-speaking Korean learners or Korean-speaking Chinese learners apply those words in their mother tongue to the acquisition of the target language and get more effective means of learning methods for language proficiency test.

• International Journal of Advanced Culture Technology
• /
• v.9 no.2
• /
• pp.86-90
• /
• 2021

Sentiment refers to a person's thoughts, opinions, and feelings toward an object. Sentiment analysis is a process of collecting opinions on a specific target and classifying them according to their emotions, and applies to opinion mining that analyzes product reviews and reviews on the web. Companies and users can grasp the opinions of public opinion and come up with a way to do so. Recently, natural language processing models using the Transformer structure have appeared, and Google's BERT is a representative example. Afterwards, various models came out by remodeling the BERT. Among them, the Facebook AI team unveiled the XLM-R (XLM-RoBERTa), an upgraded XLM model. XLM-R solved the data limitation and the curse of multilinguality by training XLM with 2TB or more refined CC (CommonCrawl), not Wikipedia data. This model showed that the multilingual model has similar performance to the single language model when it is trained by adjusting the size of the model and the data required for training. Therefore, in this paper, we study the improvement of Korean sentiment analysis performed using a pre-trained XLM-R model that solved curse of multilinguality and improved performance.

• International Journal of Internet, Broadcasting and Communication
• /
• v.14 no.1
• /
• pp.44-52
• /
• 2022

With recent scientific advances and growing interest in AI technologies, AI-based chatbots have been viewed as a practical learning aid for English language development. The purpose of this study is to examine preservice teachers' perceptions on the potential benefits of employing AI chatbots in English instruction and its pedagogical aspects. 28 preservice teachers majoring in English education were asked to use Kuki chatbots for a week with a guidance of a researcher and then report on their perceptions of AI chatbots in terms of perceived usefulness after use, applicability, and educational benefits and drawbacks. Emerging codes and themes were identified and evaluated using Thematic Analysis(TA) based on qualitative data from surveys and interviews. The findings show that six emerging themes were identified, encompassing perspectives on teacher, learner, communication, linguistic, affective, and assessment. The overall findings of this study revealed that AI-based chatbots can play a significant role as learning tools for stimulating interactive communication in a target language. Most preservice primary teachers acknowledge that AI chatbots can be useful as teaching and learning aids for both teachers and students. Furthermore, when applying various learner data to chatbot technology, such as learner assessment and diagnosis, a guided approach is necessary to perform a conversation appropriate for the learner's level and characteristics. Finally, as chatbots have a variety of benefits in terms of affective aspects, they may improve EFL learners' confidence in speaking English and learning motivation.

• Journal of English Language & Literature
• /
• v.56 no.1
• /
• pp.157-178
• /
• 2010

A critique on Freud's remembering taken place in the 80's and 90s has a significant impact on a paradigm shift: from the discursive constructivism to the neo-empiricism. Along with Marx and Nietzsche, Freud was one of the main intellectual sources in formulating the Cultural Studies, known as the political corrections in the later period of Post-modern era. In the wake of feminism, there was a social happening, namely, a memory restoration, when a woman therapist helped a woman patient to restore the past and come up with her father as the cause of her trauma. Finally, 'the false memory syndrome' brought up a hot issue firing on the controversy about Freudian remembering. Freud as a clinical therapist began to be a sole target to be criticized. Strangely enough, however, Freud was continually utilized by such theorists as Julia Kristeva, Homi Bhabah, and Žižek, while having dissenters like Deleuze, Quattari, and Butler. Of those intellectual claims, this paper focuses on the debates by the dissenters not from the discursive theorists but from the clinical studies: Sulloway, Grunbaum, and Crews. My argument directs to the empirical side of Freud for the conclusion that the dispute on him was a seed of a paradigm shift towards the neo-empiricism, after one century's flourishing of constructivism.

• Journal of the International Relations & Interdisciplinary Education
• /
• v.2 no.2
• /
• pp.9-33
• /
• 2022

This paper mainly studies the national impression of college students on South Korea, selects students from some key universities as the target population, and conducts an in-depth investigation from the overall impression of South Korea, diplomatic image, food culture, language culture, tourism, entertainment circle and other aspects. Through a questionnaire survey of Chinese college students, this paper studies the image of South Korea in the eyes of contemporary Chinese college students, including the following aspects: First, Research the current Chinese college students' perception of the overall image of South Korea; Second, it studies the current Chinese college students' perception of the image of South Korea in the diplomatic, language, food, tourism and entertainment circles, and analyzes the internal dimensions of the image of South Korea in the minds of Chinese college students; Third, it studies the current Chinese college students' cognition of the overall image of South Koreans, and analyzes the internal dimensions of the image of South Koreans in the minds of Chinese college students; Fourth, to investigate the evaluation of Chinese college students on the image of South Korea. The survey results are analyzed from the perspectives of all subjects and gender differences, combined with the theories of communication and intercultural communication, and suggestions and prospects for the future development of the national image are made.

• English Language & Literature Teaching
• /
• v.17 no.3
• /
• pp.73-98
• /
• 2011

This study investigated the feasibility and effectiveness of incorporating oral corrective feedback into the content-based business English writing class. Two types of oral corrective feedback, recasts and metalinguistic feedback, were integrated into business English writing classes to help low intermediate-proficiency Korean university students improve the ability to use the simple past, present progressive, and present perfect tenses correctly in their written production. Prior to the treatments, the subjects had basic grammatical knowledge of the target verb tenses, but they had only limited control over them in their written production. Three groups were formed: recast group that received corrective recasting, metalinguistic group that received metalinguistic clues, and control group that received no oral corrective feedback. The study demonstrated that it was feasible to incorporate recasts and metalinguistic feedback into content-based business English writing classes and that metalinguistic feedback had greater and more endurable effects than recasts on promoting the correct use of the target verb tenses in written production. It can be concluded that oral corrective feedback, metalinguistic feedback in particular, can be used in the business English writing classroom to help students gain greater control over already partially acquired forms and therefore improve their writing accuracy.

• IEIE Transactions on Smart Processing and Computing
• /
• v.5 no.3
• /
• pp.222-229
• /
• 2016

Linked Data is a powerful technology for storing and publishing the structures of data. It is helpful for web applications because of its usefulness through semantic query data. However, using Linked Data is not easy for ordinary users who lack knowledge about the structure of data or the query syntax of Linked Data. For that problem, we propose a translator component that is used for translating RESTful/JSON request messages into SPARQL commands based on ontology - a metadata that describes the structure of data. Clients do not need to worry about the structure of stored data or SPARQL, a kind of query language used for querying linked data that not many people know, when they insert a new instance or query for all instances of any specific class with those complex structure data. In addition, the translator component has the search function that can find a set of data from multiple classes based on finding the shortest paths between the target classes - the original set that user provide, and target classes- the users want to get. This translator component will be applied for any dynamic ontological structure as well as automatically generate a SPARQL command based on users' request message.

• Journal of the Korea Society of Computer and Information
• /
• v.22 no.2
• /
• pp.29-35
• /
• 2017

In this paper, we present a 5W1H programming model for IT non-experienced people who are not familiar with computer programming and those who need programming education. Based on this model, we can design a development tool that can be easily programmed by beginners. This development tool is a programming method applying the 5W1H concept and constructs a sentence to satisfy the control condition of 'Who, When, Where, What, and How', which is the sentence element of 5W1H. Therefore, the user can easily develop the target system as if constructing the sentence without learning the programming language of the target system. In this paper, to verify the effectiveness of the 5W1H programming model proposed in this paper, we applied the concept of 5W1H programming to Arduino and developed the development tool and performed the first verification and applied the second verification to the speech recognition smart home development platform.