Malay society is rooted on the Islamic concept. That Islam influenced every corner of that Malay society which had ever been an edge of the civilizations of the Indus and Ganges. Once the letters of that Hindu religion namely Sanscrit was adopted to this Malay society for the purpose of getting the Malay language, that is, Bahasa Melayu down to the practical literation but in vain. The Sanscrit was too complicated for Malay society to imitate and put it into practice in everyday life because it was totally different type of letters which has many of the similar allographs for a sound. In the end Malay society gave it up and just used the Malay language without using any letters for herself. After a few centuries Islam entered this Malay society with taking Arabic letters. It was not merely influencing Malay cultures, but to the religious life according to wide spread of that Islam. Finally Arabic letters was to the very means that Malay language was written by. It means that Arabic letters had been used for Arabic language in former times, but it became a similar form of letters for a new language which was named as Malay language. This Arabic letters for Arabic language has no problems whereas Arabic letters for Malay language has some of it. Naturally speaking, arabic letters was not designed for any other language but just for Arabic language itself. On account of this, there occurred a few problems in writing Malay consonants, just like p, ng, g, c, ny and v. These 6 letters could never be written down in Arabic letters. Those 6 ones were never known before in trying to pronounce by Arab people. Therefore, Malay society had only to modify a few new forms of letters for these 6 letters which had frequently been found in their own Malay sounds. As a result, pa was derived from fa, nga was derived from ain, ga was derived from kaf, ca was derived from jim, nya was derived from tha or ba, and va was derived from wau itself. Where must these 6 newly modified letters be put on this Arabic keyboard? This is the very core of this working paper. As a matter of course, these 6 letters were put on the place where 6 Arabic signs which were scarecely written in Malay language. Those 6 are found when they are used only in the 'shift-key-using-letters.' These newly designed 6 letters were put instead of the original places of fatha, kasra, damma, sukun, tanween and so on. The main differences between the 2 set of 6 letters are this: 6 in Arabic orginal keyboard are only signs for Arabic letters, on the other hand 6 Malay's are real letters. In others words, 6 newly modified Malay letters were substituted for unused 6 Arabic signs in Malay keyboard. This type of newly designed Malay Jawi Script keyboard is still used in Malaysia, Brunei and some other Malay countries. But this sort of keyboard also needs to go forward to find out another way of keyboard system which is in accordance with the alphabetically ordered keyboard system. It means that alif is going to be typed for A key, and zai shall be typed when Z key is pressed. This keyboard system is called 'Malay Jawi-English Rumi matching keyboard system', even though this system should probably be inconvenient for Malay Jawi experts who are good at Arabic 'alif-ba-ta'order.
Journal of the Korea Academia-Industrial cooperation Society
/
v.11
no.8
/
pp.2899-2905
/
2010
To be applicable under electronic health record system in order to ensure semantic interoperability of clinical information, the development principle for clinical information model to reflect objective and function is required. The aim of this study is to develop the development principles for clinical information model and evaluate the Clinical Contents Model. In order to develop the principle, from November 2008 to March 2009, the surveys about 1) definition, 2) function and 3) quality criteria were done, and 4) the components of advanced model were analyzed. The study was processed in 3 levels. Firstly in the development level, key words and key words-paragraph were driven from the references, and the principles were drawn based on the clinical or functional importance and frequency. In the application level, the 3 experts of clinical information model assessed 30 Clinical Contents Models by applying it. In the feedback level, the Clinical Contents Model in which errors were found was modified. As the results, 18 development principles were derived with 3 categories which were structure, process and contents. The Clinical Contents Models were assessed with the principles, and the 17 models were found that they did not follow it. During the feedback process, the necessity of the advanced education of the principle and the establishment of the regular quality improvement strategy to use it is raised. The proposed development principle supports the consistent model-development between clinical information model developers, and could be used as evaluation criteria.
This paper focuses on the terminology of the dictionary as an encyclopedic element in the Buddhist language. The previous study on Buddhist language can be divided into a philosophical approach to the language itself, a review of the linguistic perspective of a specific monk, and a linguistic examination of the Buddhist language. The linguistic examination of the Buddhist language is further divided into analysis of certain Buddhist scriptures, and a study of vocabulary used throughout the Buddhist sphere. The Buddhist vocabulary in the existing Korean dictionary is found in specialized areas such as name, place name, history, and Buddhism. By advancing the generalized words of the terminologies, the meanings of the terminologies and the general words are described as polysemy. It is possible to identify the degree of transition from terminology to general word depending on the distribution of senses. In the case of Buddhist vocabulary, the usage as a general language and as a Buddhist term was given priority, and vocabulary was also derived from a Buddhist term, although it was described as a general language. If a dictionary is changed according to the language unit it contains, the difference in a Buddhist terminology for each dictionary, and a conflict between the existing academic research result and the prior description, will need to be resolved through the collaboration of religious experts, linguists, and lexicographers.
The purpose of this study is to allow beginner level English learners to experience the English speaking task using pictures, and to analyze the meanings of the experience using a phenomenological research method. As research participants, 10 freshmen majoring in Power Generation Facilities at Korean Polytechnic University in Gangwon-do were selected. Face-to-face interviews and SNS were used for data collection, and Colaizzi's research method was adopted for data analysis. As a result of the analysis, 9 themes, 4 theme clusters, and 2 categories were derived. The results are as follows. First, the participants were able to find hope that they could speak English at their own level through the English speaking task using pictures. Second, they stated that the effect of the visual medium of painting increased concentration and curiosity and lowered anxiety. Third, it was recognized that self-confidence, a speaker like a native speaker, and quickness of speaking improved due to familiarity with speaking English. Fourth, the biggest difficulty in the English speaking task was vocabulary. So, they felt the limitation in explaining the picture, and they were having a lot of trouble in translating Korean words into English words. Finally, through the results of this study, the effect of the medium of picture was confirmed, and necessary future studies were suggested.
In this paper, big data analysis method was used to find out global trends in autonomous driving and to derive activate spatial information services. The applied big data was used in conjunction with news articles and patent document in order to analysis trend in news article and patents document data in spatial information. In this paper, big data was created and key words were extracted by using LDA (Latent Dirichlet Allocation) based on the topic model in major news on autonomous driving. In addition, Analysis of spatial information and connectivity, global technology trend analysis, and trend analysis and prediction in the spatial information field were conducted by using WordNet applied based on key words of patent information. This paper was proposed a big data analysis method for predicting a trend and future through the analysis of the connection between the autonomous driving field and spatial information. In future, as a global trend of spatial information in autonomous driving, platform alliances, business partnerships, mergers and acquisitions, joint venture establishment, standardization and technology development were derived through big data analysis.
Viewing religion as contents, we analyzed the network structure by creating networks on 13 world religions. The whole network was constructed by combining 13 religions, and it showed the characteristics of a scale-free network as a general social network. The world religion network had a very small value of clustering coefficient, unlike the general social network. This seems to be the result of the diversity of terms that describe religion. The core network was constructed by applying K-core algorithm used to create the core network to the whole network. When k-3 was applied, it was too complicated but when k-4 was applied, it was too simple to obtain meaningful results. It indicates that it difficult to apply the K-core algorithm to a network containing a low clustering coefficient. Therefore, core networks were constructed according to the number of key words centered on the hub node to analyze the characteristics of world religions. In addition, meaningful information was derived by constructing the world's five major religious networks and East Asian religious networks. In this study, various information was obtained by analyzing world religions as contents. It was also presented a method of creating and analyzing a core network based on key words for networks with a low clustering coefficient.
As the AI speaker business has risen significantly in recent years, the potential for numerous uses of AI speakers has gotten a lot of attention. Consumers have created an environment in which they can express and share their experiences with products through various channels, resulting in a large number of reviews that leave consumers with a variety of candid opinions about their experiences, which can be said to be very useful in analyzing consumers' thoughts. Using this review data, this study aimed to examine the factors driving the continued use of AI speakers. Above all, it was determined whether the seven characteristics associated with the intention to adopt AI identified in prior studies appear in consumer reviews. Based on customer review data on Amazon.com, text mining and social network analysis were utilized to examine Amazon eco-products. CONCOR analysis was used to classify words with similar connectivity locations, and Connection centrality analysis was used to classify the factors influencing the continuous use of AI speakers, focusing on the connectivity between words derived by classifying review data into positive and negative reviews. Consumers regarded personality and closeness as the most essential characteristics impacting the continued usage of AI speakers as a result of the favorable review survey. These two parameters had a strong correlation with other variables, and connectedness, in addition to the components established from prior studies, was a significant factor. Furthermore, additional negative review research revealed that recognition failures and compatibility are important problems that deter consumers from utilizing AI speakers. This study will give specific solutions for consumers to continue to utilize Amazon eco products based on the findings of the research.
This study aims to verify the possibility of using the blog mining to collect public opinion in the field of housing policy, thus, it collected blog posts with the keyword 'Happy Housing', extracted the main keywords from them, and analyzed the public's perception through keyword and word cluster analysis. 137,002 blog posts were used as analysis data from May 2013, when social discussion about happy housing spread, to August 2021, and the words derived by dividing the period into three stages in consideration of major housing policies and data collection were analyzed. The results are as follows. In the keyword analysis, overall, the importance of words related to the location, the number, the size, and the conditions for occupancy of Happy Housing is high. In the first stage, government policy implementation, in the second stage, the application process for Happy Housing, and in the third stage, recruitment notices, occupancy qualifications, and rental conditions are found to be highly important. In cluster analysis, project progress, application process, and project area were drawn as main themes at all stages. In particular, policy implementation and implementation plan in the first stage, occupancy qualification and financial support in the second stage, and policy implementation and occupancy qualification in the third stage were drawn as main themes. These results present the possibility of the blog mining as a method of collecting public opinion by sharing policy-related information, reflecting social issues, evaluating whether policies are delivered, and inferring the public's participation in policies.
In contemporary art, soft materials are used in various forms and ways as a medium expressing contingency beyond a simple nature of materials. In the late 1960's, the appearance of soft sculpture as a refusal of the stereotyped 'Erection' characteristic of traditional sculpture served as an opportunity for more attention to soft materials. Fashion is the reflection of age, and the mirror of society, culture and arts. In other words, soft sculpture and fashion are artistic behaviors in the same context, which have neither been fixed nor erected. This study finds its significance in analyzing correlation between soft sculpture and fashion, and the importance of contingency as artistic expression means in this age when boundaries between genres are obscure, and artistic values are given to fashion. By doing so, it aims to present the direction toward which fashion should face in the future, establishing a new aesthetic consciousness with which more creative and various expressions are available in fashion as well. This study presented as its theoretical background the concept of soft sculpture affected by Marcel Duchamp among representative examples of the contingency that started to appear in art starting in the early 20th century. It also analyzed the soft sculpture appeared in 1960s and the expression methods and features of contingency appeared in fashion after late 1990s through a new approach of piling up, hanging up, and tying, three categories classified by Maurice $Fr{\acute{e}}churet$. Common features of the contingency expressed in soft sculpture and fashion were derived in the analysis, which are intensive effects of energy, values given to physical properties themselves, and esthetics of anti-form.
Autonomous knowledge service, a fully-automated and pervasive service for knowledge acquisition and support based on the power of recent ITs is gaining tremendous interest more and more, as not only the level of users' intelligence increases but also the maturity of IT infrastructure improves. Conventional approaches of knowledge service, however, could not satisfy users because they usually provided undesired knowledge which had been acquired without considering users' want. In other words, knowledge acquisition and distribution were separately performed. This research, therefore, suggests an amended autonomous knowledge service framework by fully-automating the whole phases of knowledge life cycle, from knowledge acquisition to distribution. ASKs, the prototype system of this research, is also implemented by defining and specifying component technologies which constituently compose suggested framework. More user-friendly and applicable way of knowledge service will be derived and facilitated through this research.
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