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pISSN : 1975-7700 / eISSN : 2734-0570

2020 KCI Impact Factor : 0.42
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2018, Vol.13, No.3

  • 1.

    Peak Hour Identification for Traffic Congestion Based on IoT Environments

    Vasanth Ragu | Saraswathi Sivamani | Myeongbae Lee and 4other persons | 2018, 13(3) | pp.293~303 | number of Cited : 0
    Abstract PDF
    This study deals with the analysis of traffic congestion and the peak hour identification by using Kalman Filter and Ensemble Model. There are different types of traffic congestion, Roadway Traffic congestion, Airways Traffic congestion, Network Traffic congestion, and so on. This study focuses on Roadway Traffic congestion. The peak hour identification is essential to prevent roadway traffic congestion. In roadway traffic congestion, there are two categories in traffic data, namely Roadside Equipment (RSE) data and Video Detection System (VDS) data. Both data were collected from RSE devices and VDS devices, which are located in roadways signals, toll plaza, private sectors, and etc. In traffic data, it may contain error values. So, this paper applies the Kalman Filter for the purpose of removing the error values or inaccurate values and providing the cleaned Traffic data. The suggested study also uses the Ensemble Model to average the traffic data at corresponding hours easily to analyse the traffic data. To identify peak hour, it defines four different models by considering numbers, average times, and average speeds of vehicles. With the suggested method, the perfect peak hour in the traffic data can be easily and exactly obtained. In the tests and results, this paper showed the detailed process of peak hour identification in traffic congestion.
  • 2.

    A Study on the Elderly's User Experience by Using Virtual Reality

    LEE JONG SIK | Kang-Nyeon Lee | 2018, 13(3) | pp.305~317 | number of Cited : 0
    Abstract PDF
    This study is about the elderly people's use and experience of Virtual Reality (VR) in order to enhance their quality of life. Leisure is main activity of the elderly. As a result, the quality and diversity of leisure affects the quality of the elderly people's life. VR services including video contents could provide them with advanced and interesting experiences. Across the world, population aging becomes one of the most important problems in each society. The social and economic burden of aging is serious challenge to sustainability welfare of the world, including S. Korea. The authors used virtual reality devices to conduct experiments on 99 aged 50 to 90 (men's average age : 75 and women's average age : 70.8). Through the survey, major variants were measured such as system quality, present sense, enjoyment, intent to reuse, and awareness of advanced technology. Multiple regression analyses with the presence as a dependent variable resulted in a sense of closeness (t = 5.381, p <. 01) and a sense of clarity (t = 4.494, p <. 01). The presence of an independent variant had significant effects on pleasure (t = 4.312, p <. 01) and significant effects on the intent to reuse (t = 3.323,).Therefore, it can be interpreted that the higher the sense of existence, the more pleasure and the intent to reuse it. As a result, the possibility of using VR devices and content to enjoy leisure activities can be found in this study even if the elderly group is unfamiliar with IT devices.
  • 3.

    Self-Directed Career Development for IT Workers

    Sung Yul Ryoo | 2018, 13(3) | pp.319~325 | number of Cited : 0
    Abstract PDF
    Self-directed career development is motivated to control over their jobs and careers. This enables employees change their tasks and alter boundaries of their jobs to design their work with they are satisfied. Thus, the objective of this study is to understand self-directed career development for IT workers. First, this study investigated the elements of self-directed career development for IT workers such as job autonomy and career growth opportunities. Job autonomy is defined as opportunities to change work according to needs, capabilities, and context. Career growth opportunities is defined as progression through a sequence of jobs. Second, this study examined the relationships between two elements of self-directed career development and learning goal orientation. Learning goal orientation is defined as the degree to strive to understand something new or to increase level of competence in a given task. Finally, this study examined the relationships between learning goal orientation and organizational commitment. The data used to test research hypothesis were 213 samples. The results showed that both job autonomy and career growth opportunities affect learning goal orientation positively. Also we found that learning goal orientation has significantly positive impact on organizational commitment. This study contribute implications for researchers by developing and testing a systematic model of understanding self-directed career development for IT workers.
  • 4.

    Improvement on Psychological Stability of the Elderly by Using Companion Robot

    LEE JONG SIK | Kang-Nyeon Lee | 2018, 13(3) | pp.327~339 | number of Cited : 3
    Abstract PDF
    This study is on the elderly people's use and experience of pet robots (companion robots). Applying companion robots for the elderly's daily lives can enhance their quality of life. Leisure is main activity of the elderly who are out of work. Therefore, the quality and diversity of leisure can affect the quality of their life. Companion Robots could provide them with more advanced and interesting experiences. Around the world, population aging becomes one of the most important trends in each country. The social and economic burden of aging is serious challenge on sustainability of the world, including S. Korea. The authors examine use of Companion Robots for elderly (from 50 years old to 90 years old). In this experiment, the authors study and measure many factors including system quality, interface quality, displeasure, enjoyment, willingness to reuse, perception on new technology. In regression analysis, intimacy(t=-2.006, p<.05) is significant factor on displeasure of Companion Robot. In another regression, displeasure of Companion Robot (independent variable) is significant factor on enjoyment(t=-3.327, p<.01) and willingness to reuse(t=-2.636, p<.01). Therefore, when elderly one feels less displeasure of Companion Robot, he/she feels more enjoyment and willingness to reuse. As a result, the elderly who don't familiar to new technology could improve quality of life and leisure activity by using companion robot.
  • 5.

    An Architecture and Development Process for Integration of Alexa-based Voice Service and RESTful API

    Kim Chul Jin | 2018, 13(3) | pp.341~350 | number of Cited : 0
    Abstract PDF
    Artificial Intelligence services such as Apple Siri, Amazon Alexa, Kakao I, and Naver Clova can be used to enhance convenience of service and extend service utilization through integrating with existing web service, mobile service, and IoT(Internet of Thing). By integrating the applied voice recognition technology with the artificial intelligence service, it can act as a voice secretary and it is possible to service learning knowledge of the voice service platform through interaction with the user. Because of the limitations of service extensions within the platform, services such as Amazon Alexa and Naver Clova are opening the platform so that a variety of voice services can be developed by users. In this study, we propose an architecture and development process that can integrate the open platform’s voice recognition service with existing RESTful API services. Voice services are developed using Amazon's Alexa Skill Kit (ASK) and use Python's Flask-Ask Library to interface RESTful API services and voice services. In the case study, we experiment the integrating between voice service and RESTful API service through development of hotel reservation voice service. After the speech recognition for the reservation information, the reservation information is stored in the database through the RESTful API service. This verifies the suitability of the voice service and the RESTful API integrating structure.
  • 6.

    A Study on Monitoring of Health Care and Chronic Diseases for the elderly: the Effect of Wearable Device

    LEE JONG SIK | Kang-Nyeon Lee | 2018, 13(3) | pp.351~357 | number of Cited : 2
    Abstract PDF
    This study is on the elderly people's use and experience of a wearable device. By using wearable device, the elderly can monitor their health data at real time. As a result, their motivation for health care, exercise, and so on can improve and enhance. Across the globe, population aging becomes one of the most important problems in each nation. The social and economic burden from aging is one of most serious challenges to sustainability of the world and its economy, including South Korea. Information Communication Technology including wearable device can help the elderly health care improve. In 2016, the number of wearable devices is more than 19 million. Many of them are the devices related to health data monitoring. In the experiment, the authors measure real time health data from the subjects' wearable devices. In the first experiment day, subjects' average waist size was 36.29 inches. In the final experiment day, 31st day later from start of the experiment, the average waist size was 35.51 inches. At the beginning of the experiment, standard deviation was 1.93. At the final day of the experiment, it was 2.24. In regression analysis, when experiment day extends, average waist size seems to decrease. The trend is significant (t=2.719, p<0.05). That result may mean the subjects' motivation for health care improve. Wearable device can increase the elderly people's motivation for health care and exercise. As a result, their health can improve.
  • 7.

    Research on Application Cases of Artificial Intelligence and Information Technology in Public Service Area

    Jin-Young Kim | Hyo-Jung Moon | Na-Young Kim and 1other persons | 2018, 13(3) | pp.359~371 | number of Cited : 0
    Abstract PDF
    “Artificial intelligence and information technology” is a key technical factor and power driving the fourth industrial revolution, and it is becoming very important as universal technology that is easy to apply to all industries. In the US and Germany, various policies and projects have already been implemented at the government level to research and disseminate intelligent information technology. In line with Korean government policy, this study aims to identify strategies for early introduction of artificial intelligence and information technology in the public service sector and to develop strategies for the government to continue to spread intelligent information technology to the private sector. In order to investigate cases of domestic and foreign intelligent information technology adoption, public service sectors were classified and cases were surveyed focusing on seven public service areas: disaster safety, environmental weather, public administration, traffic transportation, police security, health care, and social welfare. We have focused on the cases that have been applied or tried in the last 3 years and tried to reflect the trend of the times as much as possible and we surveyed about 260 domestic and overseas cases. Based on this, 10 ways to introduce intelligent information technology in public service area are suggested.
  • 8.

    Design of Low-Complexity Decoder for Triple Error Correcting BCH Codes

    Cho Yong Suk | Shin,Yong-Dal | 2018, 13(3) | pp.373~379 | number of Cited : 0
    Abstract PDF
    The Bose-Chaudhuri-Hocquenghem (BCH) codes are a class of powerful multiple-error-correcting cyclic codes. Due to its powerful error-correction performance and reasonable hardware costs, the binary BCH codes have been widely used in data communications and storage systems for error control. In this paper, a design method of low-complexity decoder for triple error correcting binary BCH codes is presented, which is modified Peterson's direct solution method. In this method, all division operations over finite field GF(2^m)are eliminated from the computations of the error locator polynomial. BCH codes are defined over finite field GF(2^m) and all arithmetic operations are performed over this fields. Inversion in a finite field is time consuming and requires relatively complex circuitry. In conventional decoding algorithm of BCH codes are required finite field inversion. In this paper, inversionless decoder for triple error correcting BCH codes is proposed. The decoder comprises a syndrome computation circuit, a error locator polynomial computation circuit and a error location searching circuit, which can be implemented by linear feedback shift registers and logical gates. The attractive feature of this decoder is its remarkable simplicity from the point of view of hardware implementation. Futhermore, the proposed decoder has very simple control circuit and short decoding delay. Therefore this decoder can be implemented by simple hardware and also save buffer memory which stores received sequence.
  • 9.

    A Conversation Analysis of Online Video Corpus of Pre-service English Teachers’ Mock-teaching

    LEE, JINA | 2018, 13(3) | pp.381~390 | number of Cited : 0
    Abstract PDF
    This study is a online based video analysis of pre-service teachers’ teaching training. Adopting conversation analysis(CA) of video recorded corpus and Vygotskian view of language and cognition, this study investigated teacher talk focusing on the following issues: the way of repair mechanism and use of discourse marker(DM) revealed in pre-service English teacher interaction; and the cognitive functions of the repair sequences and ‘okay.’ Three sets of fifteen minute video recorded data was transcribed and sorted by the types of repair sequences and the use of ‘okay.’ We found that the recurrent types of repair in mock-teaching data were other-initiated self-repair(OSR: teacher-initiated student-repair), self-initiated self-repair with repetition(SSR: teacher-initiated teacher-repair), and SSR without repetition(teacher-initiated teacher-repair). As for the use of most frequently found DM, we found the multifunctional use of ‘okay’ especially in teacher talk. In addition to the result, this video analysis of classroom interaction is beneficial to the current online and offline teacher training program in the point that it mirrors the actual teaching performance to the self so that the pre-service teachers can finely recognize their conversational flaw and recurring patterns.
  • 10.

    The Application for Child Protection Using the GPS on iPhones

    Byoung-Chan Jeon | 2018, 13(3) | pp.391~397 | number of Cited : 0
    Abstract PDF
    In our society today, kidnaping and the crime related with children and kidnapping is a serious social issue. The crime is happening near residential areas, playgrounds and parks and it is getting outrageous. The government is making various systems to protect these concerns but it is not enough. CCTV are installed near residential areas, streets and alleys due to the development of IT technology but it is not the perfect way to prevent the crime because those CCTVs are available for the gathering of the evidence after the crime occurs not for the protection before the crime occurs. Under this current social situation, we have to pay attention to protect the fragile children. The guard system for children is operated by National Police Agency and the local governments to prevent the crimes. Recent researches show that the guard system for children has to be studied additionally to protect kids positively due to unsatisfactory outcomes. In addition, it is necessary to implement an application that provides the child's relief service by using the position information obtained by using the GPS and the information at the corresponding position in the range designated by the user. This paper aims to find a safety system to be possible for monitoring children using GPS on I-phones which can provide information to parents and saves the information of kids location at database server through wireless networks.
  • 11.

    How Can Business Ventures Attain Sustainability? : System Dynamics Approach

    Ho Lee | 2018, 13(3) | pp.399~409 | number of Cited : 0
    Abstract PDF
    The 2007–2008 global economic recession and consequent high unemployment have led to the emergence of business ventures that play a major role in local economic development and job creation. In particular, the success rate of technology-based business ventures is higher than that of other small businesses. The number of such success stories rises with proper incubation support. The Korean government is making persistent efforts to promote job-creating business ventures. Previous research has only contributed a fragmentary understanding of the sustainability of business ventures. By contrast, this study focuses on a more comprehensive understanding, by simultaneously considering the knowledge of the founder(s), sustainability, and the influence of support for ventures using the system dynamics method. This method helps address the factors critical to the sustainability of business ventures. It also helps to understand the correlations among the key factors such as types of knowledge and the incubation timing. The present study adopts the well-known resource-based view theory (RBV) as a framework. Human resources are a major source of venture business sustainability. Especially, the knowledge held by business founder(s) may ultimately determines the competitive advantage of the venture firm. Hence, in this study, knowledge resources of ventures are considered in three dimensions, such as the understanding of ways by which to start a new business, know-how about the business type, and a deep understanding of the relevant industry. This study finds that pre-entry knowledge and incubation timing are significant factors influencing the success of business ventures. By investigating the relationship between three types of knowledge and two possible incubation times, entrepreneurs can decide when to opt for incubation, a decision that depends on their pre-existing knowledge. This study also found that sustainability does not always improve even with proper incubation because of a negative relationship between management experience and technological experience. Incubation can only help correct biases stemming from the founder’s experience, but incubation before the launch of a business cannot improve the founder’s technological knowledge about his business since it is hard to acquire technological expertise without practical experience.