• Title/Summary/Keyword: Language Development

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The Selection of the Most Painful Word in the Visual Analogue Scale(VAS) for Pain and the Psychosocial Factors in Association with Pain Assessment in Korean Adult Cancer Patients - for the Development of Korean Cancer Pain Assessment Tool(K-CPAT) by Delphi Method - ("표준형 성인 암성 통증 평가도구" 개발을 위한 시각통증등급의 최고통증강도 어휘 및 심리.사회적 평가 항목의 선정 - 델파이 방법을 이용 -)

  • Kim, Jin-Seo;Chun, Byung-Chul;Choi, Youn-Seon;Song, Chan-Hee;Yeom, Chang-Hwan;Lee, Myung-Aha;Lee, June-Young;Yoon, So-Young;Jang, Se-Kwon;Lee, Young-Hee;Lee, Kyoung-Uk;Lee, Chul;Park, Jean-No
    • Journal of Hospice and Palliative Care
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    • v.6 no.1
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    • pp.11-21
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    • 2003
  • This paper addresses the minor differences in the description of pain in Korean language in order to develop a standarized cancer pain aneument tool for Korean adults, Korean Cancer Pain Assessement Tool. The subtle differences in the meaning of expressions used cannot be translated into English and therefore we omiltted the English abstract.

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A Study on the Preference Analysis of the Traditional Design Elements Emerging in the Contemporary City Park of China - with Special Reference to Beijing Olympic Forest Park - (중국 현대 도시공원에 나타난 전통원림 요소에 대한 선호도 분석 - 베이징 올림픽산림공원을 사례로 -)

  • Liu, Il-Hong;Cho, Se-Hwan
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.28 no.2
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    • pp.109-117
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    • 2010
  • This study conducts a case analysis based on the Olympic Forest Park in Beijing, which is specially designed for the 2008 Beijing Olympic Games. The construction of the Olympic Forest Park not only comprises the design philosophy of city parks and forest parks, but also applies Chinese traditional design elements. This study, first, researches on the design concepts of city parks in the context of traditional landscape architecture elements from both physical and cultural perspectives. The author studies the related materials including the"General Introduction of the Beijing Olympic Forest Park Landscape Plan", and employs the approaches of site investigation and user survey and interview, to analyze the cognition and preference degree of the various traditional design elements displayed in the Olympic Forest Park. To quantize the survey data on the Olympic Forest Park, this study uses the spss(v17.0) software to run a frequency analysis and presents detailed demographic, frequencies and means analyses. The author then reaches the conclusion on the preference degree of the various Chinese traditional design elements in the Olympic Forest Park. According to the analysis result, the elements that appear with the highest frequencies are mountains and waters, traditional garden plants and artistic conception. The most favorable elements are in sequence traditional garden architecture, traditional garden philosophical thinking and artistic conception. The Olympic Forest Park in Beijing is constructed on the basis of multiple design elements, comprising Chinese traditional design elements and the historical axis. As an exemplification of contemporary city park that reflects the variation of age and development of society, the Olympic Forest Park offers the reference for the selection of traditional design elements in the future schemes of city parks. However, due to the difficulty in gathering materials about the Forest Park and the limitations on the location and time constrain of the survey, there exists lack of sufficiency that could be improved in the future.

A Study on the Concept of Records-Archives and on the Definition of Archival Terms (기록물의 개념과 용어의 정의에 관한 연구)

  • Kim, Jung-Ha
    • The Korean Journal of Archival Studies
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    • no.21
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    • pp.3-40
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    • 2009
  • It has passed ten years since modern records and archives management in our country launched. During times, it has dramatically developed in the fields of law, institution and education. However a study on the definition of records and archives was non be studied enough compared to development of various research fields. In fact the reason why study on the definition was non fulfilled is that some aspects such as historical, informational, archival perspective have been coexisting without order in Korea. This situation is the biggest barrier that archival science is to a disciplinary field. Historically, 'archivium' in Latin language had developed in starting of its means place, then whole entity of documents and those organic relations. In this point, archives is rigidly separate to material of Historical science which covers all of recorded. Unlike information which is produced in the process of intended themes and following its outputs like books, documents in archival science is made in the natural process of work. In addition, historical archives which finished the current and semi-current stage and transfer to the institute of permanent conservation after the process of selection so that it is historical and cultural value to satisfy its purpose of making. This changed trend is based on the Second World War and necessity of North American society which needs to effciency and transparency of work. In Korea, records and archives management has been dominantly affected by North American society and become a subject of not arrangement but of classification, not of transferring but of collection. It is also recognized as management of on formation on the all recorded or documents not as an whole documents and all organic relations. But the original type of recognition is the only technology, it cannot have dignity as a field of science.

An Investigation on the Periodical Transition of News related to North Korea using Text Mining (텍스트마이닝을 활용한 북한 관련 뉴스의 기간별 변화과정 고찰)

  • Park, Chul-Soo
    • Journal of Intelligence and Information Systems
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    • v.25 no.3
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    • pp.63-88
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    • 2019
  • The goal of this paper is to investigate changes in North Korea's domestic and foreign policies through automated text analysis over North Korea represented in South Korean mass media. Based on that data, we then analyze the status of text mining research, using a text mining technique to find the topics, methods, and trends of text mining research. We also investigate the characteristics and method of analysis of the text mining techniques, confirmed by analysis of the data. In this study, R program was used to apply the text mining technique. R program is free software for statistical computing and graphics. Also, Text mining methods allow to highlight the most frequently used keywords in a paragraph of texts. One can create a word cloud, also referred as text cloud or tag cloud. This study proposes a procedure to find meaningful tendencies based on a combination of word cloud, and co-occurrence networks. This study aims to more objectively explore the images of North Korea represented in South Korean newspapers by quantitatively reviewing the patterns of language use related to North Korea from 2016. 11. 1 to 2019. 5. 23 newspaper big data. In this study, we divided into three periods considering recent inter - Korean relations. Before January 1, 2018, it was set as a Before Phase of Peace Building. From January 1, 2018 to February 24, 2019, we have set up a Peace Building Phase. The New Year's message of Kim Jong-un and the Olympics of Pyeong Chang formed an atmosphere of peace on the Korean peninsula. After the Hanoi Pease summit, the third period was the silence of the relationship between North Korea and the United States. Therefore, it was called Depression Phase of Peace Building. This study analyzes news articles related to North Korea of the Korea Press Foundation database(www.bigkinds.or.kr) through text mining, to investigate characteristics of the Kim Jong-un regime's South Korea policy and unification discourse. The main results of this study show that trends in the North Korean national policy agenda can be discovered based on clustering and visualization algorithms. In particular, it examines the changes in the international circumstances, domestic conflicts, the living conditions of North Korea, the South's Aid project for the North, the conflicts of the two Koreas, North Korean nuclear issue, and the North Korean refugee problem through the co-occurrence word analysis. It also offers an analysis of South Korean mentality toward North Korea in terms of the semantic prosody. In the Before Phase of Peace Building, the results of the analysis showed the order of 'Missiles', 'North Korea Nuclear', 'Diplomacy', 'Unification', and ' South-North Korean'. The results of Peace Building Phase are extracted the order of 'Panmunjom', 'Unification', 'North Korea Nuclear', 'Diplomacy', and 'Military'. The results of Depression Phase of Peace Building derived the order of 'North Korea Nuclear', 'North and South Korea', 'Missile', 'State Department', and 'International'. There are 16 words adopted in all three periods. The order is as follows: 'missile', 'North Korea Nuclear', 'Diplomacy', 'Unification', 'North and South Korea', 'Military', 'Kaesong Industrial Complex', 'Defense', 'Sanctions', 'Denuclearization', 'Peace', 'Exchange and Cooperation', and 'South Korea'. We expect that the results of this study will contribute to analyze the trends of news content of North Korea associated with North Korea's provocations. And future research on North Korean trends will be conducted based on the results of this study. We will continue to study the model development for North Korea risk measurement that can anticipate and respond to North Korea's behavior in advance. We expect that the text mining analysis method and the scientific data analysis technique will be applied to North Korea and unification research field. Through these academic studies, I hope to see a lot of studies that make important contributions to the nation.

Knowledge Extraction Methodology and Framework from Wikipedia Articles for Construction of Knowledge-Base (지식베이스 구축을 위한 한국어 위키피디아의 학습 기반 지식추출 방법론 및 플랫폼 연구)

  • Kim, JaeHun;Lee, Myungjin
    • Journal of Intelligence and Information Systems
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    • v.25 no.1
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    • pp.43-61
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    • 2019
  • Development of technologies in artificial intelligence has been rapidly increasing with the Fourth Industrial Revolution, and researches related to AI have been actively conducted in a variety of fields such as autonomous vehicles, natural language processing, and robotics. These researches have been focused on solving cognitive problems such as learning and problem solving related to human intelligence from the 1950s. The field of artificial intelligence has achieved more technological advance than ever, due to recent interest in technology and research on various algorithms. The knowledge-based system is a sub-domain of artificial intelligence, and it aims to enable artificial intelligence agents to make decisions by using machine-readable and processible knowledge constructed from complex and informal human knowledge and rules in various fields. A knowledge base is used to optimize information collection, organization, and retrieval, and recently it is used with statistical artificial intelligence such as machine learning. Recently, the purpose of the knowledge base is to express, publish, and share knowledge on the web by describing and connecting web resources such as pages and data. These knowledge bases are used for intelligent processing in various fields of artificial intelligence such as question answering system of the smart speaker. However, building a useful knowledge base is a time-consuming task and still requires a lot of effort of the experts. In recent years, many kinds of research and technologies of knowledge based artificial intelligence use DBpedia that is one of the biggest knowledge base aiming to extract structured content from the various information of Wikipedia. DBpedia contains various information extracted from Wikipedia such as a title, categories, and links, but the most useful knowledge is from infobox of Wikipedia that presents a summary of some unifying aspect created by users. These knowledge are created by the mapping rule between infobox structures and DBpedia ontology schema defined in DBpedia Extraction Framework. In this way, DBpedia can expect high reliability in terms of accuracy of knowledge by using the method of generating knowledge from semi-structured infobox data created by users. However, since only about 50% of all wiki pages contain infobox in Korean Wikipedia, DBpedia has limitations in term of knowledge scalability. This paper proposes a method to extract knowledge from text documents according to the ontology schema using machine learning. In order to demonstrate the appropriateness of this method, we explain a knowledge extraction model according to the DBpedia ontology schema by learning Wikipedia infoboxes. Our knowledge extraction model consists of three steps, document classification as ontology classes, proper sentence classification to extract triples, and value selection and transformation into RDF triple structure. The structure of Wikipedia infobox are defined as infobox templates that provide standardized information across related articles, and DBpedia ontology schema can be mapped these infobox templates. Based on these mapping relations, we classify the input document according to infobox categories which means ontology classes. After determining the classification of the input document, we classify the appropriate sentence according to attributes belonging to the classification. Finally, we extract knowledge from sentences that are classified as appropriate, and we convert knowledge into a form of triples. In order to train models, we generated training data set from Wikipedia dump using a method to add BIO tags to sentences, so we trained about 200 classes and about 2,500 relations for extracting knowledge. Furthermore, we evaluated comparative experiments of CRF and Bi-LSTM-CRF for the knowledge extraction process. Through this proposed process, it is possible to utilize structured knowledge by extracting knowledge according to the ontology schema from text documents. In addition, this methodology can significantly reduce the effort of the experts to construct instances according to the ontology schema.

A Discussion on the Establishment of a New Interdisciplinary Convergence Major(Lifelong Education for Disabled) based on Special Education, Rehabilitation Science, and Social Welfare at Daegu University (대구대학교 특수교육-재활과학-사회복지 기반 학제 간 융합전공(장애인평생교육) 신설 논의)

  • Kim, Young-Jun;Kim, Wha-Soo;Rhee, Kun-Yong
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.1
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    • pp.147-156
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    • 2022
  • The purpose of this study was to review various grounds and plans for the establishment of a convergence major in lifelong education for the disabled based on Daegu University, which establishes its status and identity as a base university for education and welfare for the disabled. Lifelong education for the disabled reflects the specificity of disability in common because it targets disabled learners, but since it constitutes two perspectives and characteristics of education and welfare, access to interdisciplinary convergence research in disabled-related fields is important. In the above dimension, Daegu University has an appropriate foundation to lead lifelong education for the disabled in Korea through various academic and practice-based infrastructures, and has sufficient leadership to improve the practical limitations of the lifelong education support system for the disabled. Accordingly, this study presented measures and related grounds to reflect lifelong education for the disabled in order to establish an interdisciplinary convergence major at Daegu University through literature review and expert advice. It was emphasized that lifelong education for the disabled, viewed as a new interdisciplinary convergence major, should be activated through professional competencies commonly accessible to the three fields rather than applied from a priority perspective between special education, rehabilitation science, and social welfare. As a result of the study, it was suggested that Korea, which failed to establish a lifelong education support system for the disabled, should gradually spread and spread to other universities starting with Daegu University's application model and plan. In addition, the necessity of systematically establishing a qualification development path for lifelong education professionals for the disabled through agreement between the three fields was also suggested.

Analyzing Different Contexts for Energy Terms through Text Mining of Online Science News Articles (온라인 과학 기사 텍스트 마이닝을 통해 분석한 에너지 용어 사용의 맥락)

  • Oh, Chi Yeong;Kang, Nam-Hwa
    • Journal of Science Education
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    • v.45 no.3
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    • pp.292-303
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    • 2021
  • This study identifies the terms frequently used together with energy in online science news articles and topics of the news reports to find out how the term energy is used in everyday life and to draw implications for science curriculum and instruction about energy. A total of 2,171 online news articles in science category published by 11 major newspaper companies in Korea for one year from March 1, 2018 were selected by using energy as a search term. As a result of natural language processing, a total of 51,224 sentences consisting of 507,901 words were compiled for analysis. Using the R program, term frequency analysis, semantic network analysis, and structural topic modeling were performed. The results show that the terms with exceptionally high frequencies were technology, research, and development, which reflected the characteristics of news articles that report new findings. On the other hand, terms used more than once per two articles were industry-related terms (industry, product, system, production, market) and terms that were sufficiently expected as energy-related terms such as 'electricity' and 'environment.' Meanwhile, 'sun', 'heat', 'temperature', and 'power generation', which are frequently used in energy-related science classes, also appeared as terms belonging to the highest frequency. From a network analysis, two clusters were found including terms related to industry and technology and terms related to basic science and research. From the analysis of terms paired with energy, it was also found that terms related to the use of energy such as 'energy efficiency,' 'energy saving,' and 'energy consumption' were the most frequently used. Out of 16 topics found, four contexts of energy were drawn including 'high-tech industry,' 'industry,' 'basic science,' and 'environment and health.' The results suggest that the introduction of the concept of energy degradation as a starting point for energy classes can be effective. It also shows the need to introduce high-tech industries or the context of environment and health into energy learning.

Cultural Diversity and Repression in Communities: A Study on China and Latin America (공동체에서의 문화 다양성과 억압 -중국과 라틴아메리카를 중심으로-)

  • Kim Dug-sam
    • Journal of the Daesoon Academy of Sciences
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    • v.44
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    • pp.177-212
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    • 2023
  • In this study, discussions of the suppression of cultural diversity in communities was conducted. First, based on the studies conducted so far and recent changes, the oppression that exists between the Chinese government and ethnic minorities was considered. The visible suppression mentioned was the expansion of Han Chinese Mandarin language education, sanctions on minority languages, and the expansion of higher education at the exclusion of minority identities. In terms of 'invisible' oppression, urbanization, urban development with modernization at the forefront, and the use of officials from minority ethnic groups educated by the central government were items that were discussed. Next, the case of Latin America was examined. In particular, attention was paid to the theory of resistance against Europeans and European culture. Based off of the worries and experiences of Latin American intellectuals who have underwent oppression as individuals from culturally diverse backgrounds, a mature theory was formulated that could be used to defend Chinese minorities in the future. There is a specificity to the problem of Chinese minority communities. However, from a large perspective, experience and self-critical exploration in Latin America serve as an opportunity to expand the specificity of Chinese minority communities. Their situation resembles previous situations in Latin America when native cultures were being culturally eroded by Europe. Thus, as Latin American scholars argue, a shift in perception is necessary. In addition to this, in the text, it is likewise necessary to reflect on diversity, freedom, and mutualistic respect. There are proposals advocating for the realization of Heyibutong (和而不同 harmony but not through sameness) based on the situation in China. In the process of this consideration, much thought was given about what the observed communities are like and what a hypothetically desirable community would be like. This extends not only to Chinese minority communities and native residents of Latin America, but also to Asians in the United States and foreigners in Korea. Through this, it is hoped that desirable communities characterized by cultural diversity can be skillfully pursued.

Forming and Changing the Concept of 'Cultural Property' before the Enactment of the Cultural Heritage Protection Act (문화재보호법 제정 이전 '문화재' 개념의 형성과 변화)

  • OH Chunyoung
    • Korean Journal of Heritage: History & Science
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    • v.56 no.4
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    • pp.288-318
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    • 2023
  • This work began with the aim of examining the history of the concept "cultural property" that is expected to disappear, and the main subject of research was the history that preceded the spread of this notion throughout society. The phrase "cultural property" first appeared in the 1920s, and was used in various fields such as literature, history, music, and philosophy in the context of cultural resources. Until immediately following liberation from the Japanese colonial era, the meaning of cultural assets was widely applied in the range of "cultural resources," and during this period, it was often used to help supplant the reality and history of Japanese occupation. Immediately after the Korean War, it was also employed for the purpose of 'restoration of cultural resources through war'. Recognition of cultural property directly influenced by Japan's Cultural Heritage Protection Act has occurred since 1950s. In the early 1960s, the enactment of various laws related to cultural properties and the establishment of the Cultural Heritage Administration caused the meaning of cultural property to be limited to 'cultural heritage'. In this way, the definition of state-led cultural property has continued to apply to this day. It has not been clearly confirmed whether the concept of cultural properties was imported from Japan through means such as the Cultural Heritage Protection Act. Cases in which several Japanese students endorsed the concept of cultural property within Korea serve to increase the likelihood that the concept was indeed imported from Japan. However, "coined language using multiple Chinese characters," "the phenomenon of cultural complex words in the 1920s,", and "cases of non-Japanese international students using the concept of cultural property" also open up the possibility of their own occurrence. Apart from the general importance of the concept of cultural property, intellectuals at the time used this concept to promote internal development and the overcoming of colonial Joseon. In this research, it was confirmed that the conceptual word cultural property was older and had a wider history than the general perception had indicated previously. The history of the conceptual term "cultural property" may appear to be more than 60 years old based on the enactment of the Cultural Heritage Protection Act, but in fact it is nearly 100 years old when traced back to on 1925, as established here. In general, the creation and disappearance of terms may proceed naturally with social change, but such terms may alternatively be created or erased through national policy. Identifying the origins of a phrase that is about to disappear represents a significant task for purposes of establishing its historical meaning.

Design and Implementation of IoT based Low cost, Effective Learning Mechanism for Empowering STEM Education in India

  • Simmi Chawla;Parul Tomar;Sapna Gambhir
    • International Journal of Computer Science & Network Security
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    • v.24 no.4
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    • pp.163-169
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    • 2024
  • India is a developing nation and has come with comprehensive way in modernizing its reducing poverty, economy and rising living standards for an outsized fragment of its residents. The STEM (Science, Technology, Engineering, and Mathematics) education plays an important role in it. STEM is an educational curriculum that emphasis on the subjects of "science, technology, engineering, and mathematics". In traditional education scenario, these subjects are taught independently, but according to the educational philosophy of STEM that teaches these subjects together in project-based lessons. STEM helps the students in his holistic development. Youth unemployment is the biggest concern due to lack of adequate skills. There is a huge skill gap behind jobless engineers and the question arises how we can prepare engineers for a better tomorrow? Now a day's Industry 4.0 is a new fourth industrial revolution which is an intelligent networking of machines and processes for industry through ICT. It is based upon the usage of cyber-physical systems and Internet of Things (IoT). Industrial revolution does not influence only production but also educational system as well. IoT in academics is a new revolution to the Internet technology, which introduced "Smartness" in the entire IT infrastructure. To improve socio-economic status of the India students must equipped with 21st century digital skills and Universities, colleges must provide individual learning kits to their students which can help them in enhancing their productivity and learning outcomes. The major goal of this paper is to present a low cost, effective learning mechanism for STEM implementation using Raspberry Pi 3+ model (Single board computer) and Node Red open source visual programming tool which is developed by IBM for wiring hardware devices together. These tools are broadly used to provide hands on experience on IoT fundamentals during teaching and learning. This paper elaborates the appropriateness and the practicality of these concepts via an example by implementing a user interface (UI) and Dashboard in Node-RED where dashboard palette is used for demonstration with switch, slider, gauge and Raspberry pi palette is used to connect with GPIO pins present on Raspberry pi board. An LED light is connected with a GPIO pin as an output pin. In this experiment, it is shown that the Node-Red dashboard is accessing on Raspberry pi and via Smartphone as well. In the final step results are shown in an elaborate manner. Conversely, inadequate Programming skills in students are the biggest challenge because without good programming skills there would be no pioneers in engineering, robotics and other areas. Coding plays an important role to increase the level of knowledge on a wide scale and to encourage the interest of students in coding. Today Python language which is Open source and most demanding languages in the industry in order to know data science and algorithms, understanding computer science would not be possible without science, technology, engineering and math. In this paper a small experiment is also done with an LED light via writing source code in python. These tiny experiments are really helpful to encourage the students and give play way to learn these advance technologies. The cost estimation is presented in tabular form for per learning kit provided to the students for Hands on experiments. Some Popular In addition, some Open source tools for experimenting with IoT Technology are described. Students can enrich their knowledge by doing lots of experiments with these freely available software's and this low cost hardware in labs or learning kits provided to them.