• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.131-145
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• 2020

In line with the trend of industrial innovation, IoT technology utilized in a variety of fields is emerging as a key element in creation of new business models and the provision of user-friendly services through the combination of big data. The accumulated data from devices with the Internet-of-Things (IoT) is being used in many ways to build a convenience-based smart system as it can provide customized intelligent systems through user environment and pattern analysis. Recently, it has been applied to innovation in the public domain and has been using it for smart city and smart transportation, such as solving traffic and crime problems using CCTV. In particular, it is necessary to comprehensively consider the easiness of securing real-time service data and the stability of security when planning underground services or establishing movement amount control information system to enhance citizens' or commuters' convenience in circumstances with the congestion of public transportation such as subways, urban railways, etc. However, previous studies that utilize image data have limitations in reducing the performance of object detection under private issue and abnormal conditions. The IoT device-based sensor data used in this study is free from private issue because it does not require identification for individuals, and can be effectively utilized to build intelligent public services for unspecified people. Especially, sensor data stored by the IoT device need not be identified to an individual, and can be effectively utilized for constructing intelligent public services for many and unspecified people as data free form private issue. We utilize the IoT-based infrared sensor devices for an intelligent pedestrian tracking system in metro service which many people use on a daily basis and temperature data measured by sensors are therein transmitted in real time. The experimental environment for collecting data detected in real time from sensors was established for the equally-spaced midpoints of 4×4 upper parts in the ceiling of subway entrances where the actual movement amount of passengers is high, and it measured the temperature change for objects entering and leaving the detection spots. The measured data have gone through a preprocessing in which the reference values for 16 different areas are set and the difference values between the temperatures in 16 distinct areas and their reference values per unit of time are calculated. This corresponds to the methodology that maximizes movement within the detection area. In addition, the size of the data was increased by 10 times in order to more sensitively reflect the difference in temperature by area. For example, if the temperature data collected from the sensor at a given time were 28.5℃, the data analysis was conducted by changing the value to 285. As above, the data collected from sensors have the characteristics of time series data and image data with 4×4 resolution. Reflecting the characteristics of the measured, preprocessed data, we finally propose a hybrid algorithm that combines CNN in superior performance for image classification and LSTM, especially suitable for analyzing time series data, as referred to CNN-LSTM (Convolutional Neural Network-Long Short Term Memory). In the study, the CNN-LSTM algorithm is used to predict the number of passing persons in one of 4×4 detection areas. We verified the validation of the proposed model by taking performance comparison with other artificial intelligence algorithms such as Multi-Layer Perceptron (MLP), Long Short Term Memory (LSTM) and RNN-LSTM (Recurrent Neural Network-Long Short Term Memory). As a result of the experiment, proposed CNN-LSTM hybrid model compared to MLP, LSTM and RNN-LSTM has the best predictive performance. By utilizing the proposed devices and models, it is expected various metro services will be provided with no illegal issue about the personal information such as real-time monitoring of public transport facilities and emergency situation response services on the basis of congestion. However, the data have been collected by selecting one side of the entrances as the subject of analysis, and the data collected for a short period of time have been applied to the prediction. There exists the limitation that the verification of application in other environments needs to be carried out. In the future, it is expected that more reliability will be provided for the proposed model if experimental data is sufficiently collected in various environments or if learning data is further configured by measuring data in other sensors.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.83-105
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• 2016

Measuring an individual's subjective wellbeing in an accurate, unobtrusive, and cost-effective manner is a core success factor of the wellbeing support system, which is a type of medical IT service. However, measurements with a self-report questionnaire and wearable sensors are cost-intensive and obtrusive when the wellbeing support system should be running in real-time, despite being very accurate. Recently, reasoning the state of subjective wellbeing with conventional sentiment analysis and unstructured data has been proposed as an alternative to resolve the drawbacks of the self-report questionnaire and wearable sensors. However, this approach does not consider contextual polarity, which results in lower measurement accuracy. Moreover, there is no sentimental word net or ontology for the subjective wellbeing area. Hence, this paper proposes a method to extract keywords and their contextual polarity representing the subjective wellbeing state from the unstructured text in online websites in order to improve the reasoning accuracy of the sentiment analysis. The proposed method is as follows. First, a set of general sentimental words is proposed. SentiWordNet was adopted; this is the most widely used dictionary and contains about 100,000 words such as nouns, verbs, adjectives, and adverbs with polarities from -1.0 (extremely negative) to 1.0 (extremely positive). Second, corpora on subjective wellbeing (SWB corpora) were obtained by crawling online text. A survey was conducted to prepare a learning dataset that includes an individual's opinion and the level of self-report wellness, such as stress and depression. The participants were asked to respond with their feelings about online news on two topics. Next, three data sources were extracted from the SWB corpora: demographic information, psychographic information, and the structural characteristics of the text (e.g., the number of words used in the text, simple statistics on the special characters used). These were considered to adjust the level of a specific SWB. Finally, a set of reasoning rules was generated for each wellbeing factor to estimate the SWB of an individual based on the text written by the individual. The experimental results suggested that using contextual polarity for each SWB factor (e.g., stress, depression) significantly improved the estimation accuracy compared to conventional sentiment analysis methods incorporating SentiWordNet. Even though literature is available on Korean sentiment analysis, such studies only used only a limited set of sentimental words. Due to the small number of words, many sentences are overlooked and ignored when estimating the level of sentiment. However, the proposed method can identify multiple sentiment-neutral words as sentiment words in the context of a specific SWB factor. The results also suggest that a specific type of senti-word dictionary containing contextual polarity needs to be constructed along with a dictionary based on common sense such as SenticNet. These efforts will enrich and enlarge the application area of sentic computing. The study is helpful to practitioners and managers of wellness services in that a couple of characteristics of unstructured text have been identified for improving SWB. Consistent with the literature, the results showed that the gender and age affect the SWB state when the individual is exposed to an identical queue from the online text. In addition, the length of the textual response and usage pattern of special characters were found to indicate the individual's SWB. These imply that better SWB measurement should involve collecting the textual structure and the individual's demographic conditions. In the future, the proposed method should be improved by automated identification of the contextual polarity in order to enlarge the vocabulary in a cost-effective manner.

• Archives of design research
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• v.17 no.2
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• pp.77-86
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• 2004

User-Centered Design Approach plays important role in dealing with usability issues for developing modern technology products. Yet it is still questionable whether the User-Centered approach is enough for the development of successful consumer contents since the User-Centered Design is originated from the software engineering field where meeting customers' functional requirement is the most critical aspect in developing a software. However, modern consumer market is already saturated and in order to meet ever increasing consumer requirements, the User-Centered Design approach needs to be expanded. As a way of incorporating the User-Centered Approach into the consumer product development, Jordan suggested the 'Pleasure-based Approach' in industrial design field, which usually generates multi-dimensional user requirements: 1)physical, 2)cognitive, 3)identity and 4) social. It is the current tendency that many portal and community service providers focus on fulfilling both functional and emotional needs for users when developing new items, contents and services. Previously fulfilling consumers' emotional needs solely depend on visual designer's graphical sense and capability. However, taking the customer-centered approach on withdrawing consumers' unknown needs is getting critical in the competitive market environment. This paper reviews different types of user research techniques and categorized into 6 ways based on Kano(1992)'s product quality model. Based on his theory, only performance factors, such as suability, can be identified through the user-centered design approach. The user-centered design approach has to be expanded to include factors include personality, sociability, pleasure, and so on. In order to identify performance as well as excellent factors through user research, a user-research framework was established and tested through the case study, which is ' the development of new online service for teens '. The results of the user research were summarized at the end of the paper and the pros and cons of each research techniques were analyzed.

• Journal of Preventive Medicine and Public Health
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• v.32 no.4
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• pp.452-458
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• 1999

Objectives: The authors conducted the study to evaluate bias when potentially diseased subjects were included in cohort members while analyzing risk factors of chronic liver diseases. Methods: Total of 14,529 subjects were followed up for the incidence of liver diseases from January 1993 to June 1997. We have used databases of insurance company with medical records, cancer registry, and death certificate data to identify 102 incident cases. The cohort members were classified into potentially diseased group(n=2,217) when they were HBsAg positive, serum GPT levels higher than 40 units, or had or has liver diseases in baseline surveys. Cox's model were used for potentially diseased group, other members, and total subjects, respectively. Results: The risk factors profiles were similar for total and potentially diseased subjects: HBsAg positivity, history of acute liver disease, and recent quittance of smoking or drinking increased the risk. while intake of pork and coffee decreased it. For the potentially diseased, obesity showed marginally significant protective effect. Analysis of subjects excluding the potentially diseased showed distinct profiles: obesity increased the risk, while quitting smoking or drinking had no association. For these intake of raw liver or processed fish or soybean paste stew increased risk; HBsAg positivity, higher levels of liver enzymes and history of acute liver diseases increased the risk. Conclusions: The results suggested the potential bias in risk ratio estimates when potentially diseased subjects were included in cohort study on chronic liver diseases, especially for lifestyles possibly modified after disease onset. The analytic strategy excluding potentially diseased subjects was considered appropriate for identifying risk factors for chronic liver diseases.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.1-19
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• 2018

Since stock movements forecasting is an important issue both academically and practically, studies related to stock price prediction have been actively conducted. The stock price forecasting research is classified into structured data and unstructured data, and it is divided into technical analysis, fundamental analysis and media effect analysis in detail. In the big data era, research on stock price prediction combining big data is actively underway. Based on a large number of data, stock prediction research mainly focuses on machine learning techniques. Especially, research methods that combine the effects of media are attracting attention recently, among which researches that analyze online news and utilize online news to forecast stock prices are becoming main. Previous studies predicting stock prices through online news are mostly sentiment analysis of news, making different corpus for each company, and making a dictionary that predicts stock prices by recording responses according to the past stock price. Therefore, existing studies have examined the impact of online news on individual companies. For example, stock movements of Samsung Electronics are predicted with only online news of Samsung Electronics. In addition, a method of considering influences among highly relevant companies has also been studied recently. For example, stock movements of Samsung Electronics are predicted with news of Samsung Electronics and a highly related company like LG Electronics.These previous studies examine the effects of news of industrial sector with homogeneity on the individual company. In the previous studies, homogeneous industries are classified according to the Global Industrial Classification Standard. In other words, the existing studies were analyzed under the assumption that industries divided into Global Industrial Classification Standard have homogeneity. However, existing studies have limitations in that they do not take into account influential companies with high relevance or reflect the existence of heterogeneity within the same Global Industrial Classification Standard sectors. As a result of our examining the various sectors, it can be seen that there are sectors that show the industrial sectors are not a homogeneous group. To overcome these limitations of existing studies that do not reflect heterogeneity, our study suggests a methodology that reflects the heterogeneous effects of the industrial sector that affect the stock price by applying k-means clustering. Multiple Kernel Learning is mainly used to integrate data with various characteristics. Multiple Kernel Learning has several kernels, each of which receives and predicts different data. To incorporate effects of target firm and its relevant firms simultaneously, we used Multiple Kernel Learning. Each kernel was assigned to predict stock prices with variables of financial news of the industrial group divided by the target firm, K-means cluster analysis. In order to prove that the suggested methodology is appropriate, experiments were conducted through three years of online news and stock prices. The results of this study are as follows. (1) We confirmed that the information of the industrial sectors related to target company also contains meaningful information to predict stock movements of target company and confirmed that machine learning algorithm has better predictive power when considering the news of the relevant companies and target company's news together. (2) It is important to predict stock movements with varying number of clusters according to the level of homogeneity in the industrial sector. In other words, when stock prices are homogeneous in industrial sectors, it is important to use relational effect at the level of industry group without analyzing clusters or to use it in small number of clusters. When the stock price is heterogeneous in industry group, it is important to cluster them into groups. This study has a contribution that we testified firms classified as Global Industrial Classification Standard have heterogeneity and suggested it is necessary to define the relevance through machine learning and statistical analysis methodology rather than simply defining it in the Global Industrial Classification Standard. It has also contribution that we proved the efficiency of the prediction model reflecting heterogeneity.

• Journal of the Korean Institute of Landscape Architecture
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• v.45 no.4
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• pp.23-34
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• 2017

This study focused on a planned site located in Gosangol Village in Daegu Metropolitan City that aims to build an urban agricultural park combining urban agriculture and urban park for the sustainable realization of urban agriculture. Accordingly, this study has significance in two perspectives: firstly, suggesting development strategies to be considered when building an urban agricultural park as a theme park, and secondly, presenting guidelines for spatial programs and facilities to be introduced for actual applications. The results are as follows. Firstly, building an urban agricultural park fills a role as a local community space prompted by the demand-oriented evolution of urban parks, and agricultural behaviors to be incorporated in the theme. In this context, 'building an urban agricultural space focusing on sustainability', 'constructing green space systems focusing on agricultural landscape', and 'structuring leisure spaces for communications in the community' are presented as development strategies. Secondly, key functions that an urban agricultural park should have include production and trade of agricultural products on the production side, soil preservation, resource cycling and green space provision on the environmental side, leisure and experience, community vitalization, education, and social security on the social and cultural side, and entertainment functions, ecological functions, and protective functions as urban park functionality. Thirdly, key facilities needed when building an urban agricultural park include urban agricultural facilities other than park management facilities, landscape facilities, recreational facilities, sports facilities, educational facilities, and convenient facilities, and family gardens as the key facility of the urban agricultural park should be scaled in consideration of various purposes and behaviors of their use. This study has a limitation that the subject site was limited to a specific area but has significance in that it presented a planning model for the spatial structuring of park-type urban agriculture.

• Journal of The Korean Association For Science Education
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• v.19 no.2
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• pp.239-247
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• 1999

This study is to make suggestion for developing textbook systematically by analyzing biological contents and organization in science textbooks which are important instructional media to accomplish objectives of the 6th middle school science curriculum. The inclusiveness degree of the 6th science educational objectives reflected in the textbooks was analyzed by Klopfer's and the Korean Educational Department's objectives taxonomy. And the biological contents and the organization of the science textbook were analyzed by learner, subject matter, and society dimensions which are selecting criteria for curriculum objectives suggested in Tyler's curriculum model. The analyzed results are as follows: 1. The inclusiveness degree of the educational objectives was very low. 2. Regarding the dimension of learner, the concepts of formal operational cognitive level were much increased as grade becomes higher. And the degree of learner's interests reflected on the learning topics and domains was very low. 3. Regarding the dimension of subject matter, the concept-centered learning was increased, in relation to inquiry learning as grade becomes higher. The analyzed results of inquiry subskills showed that observation, classification, and recording skills in 1st grade, observation and operation skills in 2nd grade, and interpreting data skills in 3rd grade were centered. As the problems and processes were presented, so most of inquiry activities had low openness scale. The learning contexts were organized into discipline-centered in relation to real life. 4. Regarding society dimension, the learning topics of environments and health were much presented. but those of biotechnology and career were presented scarcely. And most learning topics related society dimension were organized in textbooks of the 2nd and 3rd grade. These suggested that to accomplish curriculum objectives effectively. the inclusiveness degree of educational objectives is to increase and, the contents and organization of textbook were constructed harmoniously in aspects of learner, subject matter and society dimensions.

• Journal of Korean Home Economics Education Association
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• v.24 no.3
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• pp.225-239
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• 2012

The purpose of this study was to develope and implement a teaching learning process plan applied with portfolio assessment for 'housing and residential environment' section of Technology Home Economics in a middle school. The teaching learning process plan consisting of 8-session lessons had been developed and implemented according to the ADDIE model mixed with 6 portfolio-development stages. In the development stage, 19 activity materials(5 reading texts, 6 individual and 2 group activity sheets, and 3 subject activity sheets) and 27 teaching learning materials(8 sets of pictures & photos and 19 moving pictures) were developed for the 8-session lessons. The plans applied to 2 classes 74 students in the third grade of K middle school in Gyeonggi-do during May 16th-17th of June, 2011. The results from survey and portfolio showed that the 8-session lessons had overall achieved the general goal of the teaching learning process plan applied with portfolio assessment, which was to stimulate students in the class through working with portfolio elements of activity materials. The students evaluated the whole process of 8 lessons were adequate and helpful. Students also reported they highly accomplished the goal of each lesson and actively participated in the lesson. The 3 subject activity sheets as well as other materials in the portfolio were excellently done with the average of over 90% points. These results supported that a teaching learning process plan applied with portfolio assessment was a combined lesson with evaluation and also an alternative to qualitative evaluation over the whole units. This plan might apply to other parts of housing as well as various other areas.

• 대한공업교육학회지
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• v.36 no.1
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• pp.75-94
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• 2011

The purpose of this study is to suggest the basic data in order to examine and perform the plan for activating the team teaching between industry-educational adjunct teachers and vocational teachers in technical high school. The research results are as follows. First, It is found that both teacher groups acknowledge the necessity of the team teaching, but vocational teachers are less likely to recognize the necessity than industry-educational adjunct teachers. Second, In the preparation of team teaching, both two groups of the teachers believe that the preliminary interchange and training between them are to be highly supportive for the activities expected to help teachers. Therefore, it is necessary to have opportunity of communication and narrow the difference of opinions between them by promoting the deep interest about applicable field and sharing the mutual idea between the teachers in the preparation of team teaching. Third, And the two groups recognize that the cooperation and joint establishment of design of team teaching and the individual process or joint progress of class activity are desirable for the proper design of team teaching. Therefore, it is necessary to establish the class environment for the interaction between teachers and students through not only the reciprocal activities between teachers but the interest class by systematically preparing the class design and role division clearly. Fourth, In the practice of team teaching, the two groups believe that the teaching activities can be usually divided and progressed, but it is desirable to work together in the related contents. The vocational teachers recognize that it is necessary to actively interact with students by connecting with the case of industry field. On the other side, industry-educational adjunct teachers think that the learning contents should be selected and organized according to the interests of students by associating with the case of industry field. Fifth, And two groups of teachers recognize that it is desirable to evaluate the grade by reflecting on the assessment by vocational teachers(50%), industry-educational adjunct teachers(50%).

• 대한공업교육학회지
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• v.34 no.1
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• pp.87-112
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• 2009

The aim of this research is to suggest the model of reconstruction and remodelling of S high school of broadcast for converting into a specialized one in the section of broadcast industry. The method of reconstruction of the laboratories by each department is as follows. First, the names of laboratories, ground plans, and perspective drawings are designed according to the principle of constructionism. Second, each department is recommended to install 7 laboratories. For the department of broadcasting facilities, a laboratory of processing broadcasting machines, a laboratory of broadcasting machines, and a laboratory of screen picture machines are needed. For the department of broadcasting, electricity, and communication, a laboratory of image and sound edition, a laboratory of broadcasting and communication, a laboratory of broadcasting system, and a laboratory of stage illumination. For the department of broadcasting stage construction, a laboratory of broadcasting stage building, a laboratory of broadcasting stage design, a laboratory of broadcasting stage decoration and etc. Third, an office room is designed by department in the form of seminar room and places for practice is formed by department to be a laboratory. Fourth, a room for industrial-educational cooperation is installed by department, by which education of industrial-educational cooperation is carried out harmoniously. And one example of a remodeled laboratory by one department is shown with laboratory name, ground plan, perspective drawing, and running method. Especially employment of teachers working both school and business, professional club which is concerned with broadcasting technique, and attraction of enterprise in school is suggested as important elements to manage broadcasting laboratories efficiently. Finally, it is desirable for us to attract private capital, that is, Build-Transfer-Lease(BTL) because much budget is required for purchasing the broadcasting equipments and remodelling the laboratories to succeed as specialized high school on broadcasting section.