• Journal of Digital Contents Society
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• v.15 no.6
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• pp.711-719
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• 2014

Along with the advent of ubiquitous computing environment, it is becoming a part of our common life style that the demands for enjoying the wireless internet using intelligent portable device such as smart phone and iPad, are increasing anytime or anyplace without any restriction of time and place. The recommending service becomes a very important technology which can find exact information to present users, then is easy for customers to reduce their searching effort to find out the items with high purchasability in e-commerce. Traditional mining association rule ignores the difference among the transactions. In order to do that, it is considered the importance of type of merchandise or service and then, we suggest a new recommending service using mining sequential pattern based on weight to reflect frequently changing trends of purchase pattern as time goes by and as often as customers need different merchandises on e-commerce being extremely diverse. To verify improved better performance of proposing system than the previous systems, we carry out the experiments in the same dataset collected in a cosmetic internet shopping mall.

• KIISE Transactions on Computing Practices
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• v.21 no.3
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• pp.269-274
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• 2015

As smart device companies such as Google or Apple develop competitive mobile-based automotive operating systems and navigation systems, the range of choice for users in such markets is expanding. Navigation systems equipped with mobile operating systems have increased convenience for users. However, since an API for the POI databases used in navigation systems doesn't exist, the number of applications using POI data is insufficient. In this paper, we designed and implemented system calls for navigation operating systems with a focus on POI search, in order to resolve such limitations. The system calls support set-based POI search functions, and therefore provides solutions to search performance degradation problems caused by false inputs. As a result of performance evaluation, not only did the search performance improve, but there was also no problem in applying APIs in applications.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.1453-1469
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• 2017

우리나라는 후발주자임에도 불구하고 개방형 운영체제의 전격적 채택과 고급 기종 중심의 공격적 제품 라인 확대, 그리고 가치사슬의 수직 통합 체계 구축 등에 힘입어 2011년 세계 스마트폰 시장 점유율 1위를 차지하였다. 그러나 우리나라 스마트폰 산업은 시장 점유율 1위를 달성한지 4년만인 2015년 또 다른 후발주자인 중국에 추격을 허용하였다. 이와 같은 스마트폰 산업 주도권 이전 현상을 논의하기 위해 본 연구는 추격 사이클 이론에 기반하여 중국 스마트폰 산업의 추격과 관련한 기술 수요적 정책 및 제도적 기회의 창을 고찰하고, 이에 대한 중국의 전략적 대응과 우리나라의 실책을 논의하였다. 먼저 기술적 기회의 창으로 스마트폰 아키텍처의 모듈화와 시스템 반도체의 원칩화는 스마트폰 생산에 필요한 기술적 지식의 장벽을 낮추는데 기여하였다. 또한 2013년부터 급성장하기 시작한 저가(190달러 이하) 스마트폰 시장은 기술적 열위인 중국의 시장 개척에 우호적 기회로 작용하였다. 이와 함께 중국 정부의 스마트폰 관련 연구개발 투자 확대는 중국에게 우호적 사업 환경을 제공하는 정책적 기회의 창으로 작용하였다. 이와 같은 기회의 창을 활용하기 위해 중국 스마트폰 산업은 빠른 시장 진입, 원가 절감을 위한 현지 부품 채용, 정부 연구개발 투자를 활용한 기술 역량 축적 등의 전략적 대응을 전개하였다. 반면 우리나라는 고급 기종 생산 고수와 저가 기종 출시 지연, 수직통합 체계의 고착화에 따른 부품 경쟁력 악화에 따라 중국에 추격을 허용하게 되었다. 본 연구는 산업 주도권 이전 현상에 대한 최신 실증을 추가함으로써 추격 사이클 이론의 발전에 기여할 것으로 기대되며, 향후 우리나라 스마트폰 산업 발전 정책 발굴에 중요한 지침으로 활용될 것으로 기대된다.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.5
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• pp.153-160
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• 2020

Energy Consumption Predictions for Industries has a prominent role to play in the energy management and control system as dynamic and seasonal changes are occurring in energy demand and supply. This paper introduces and explores the steel industry's predictive models of energy consumption. The data used includes lagging and leading reactive power lagging and leading current variable, emission of carbon dioxide (tCO2) and load type. Four statistical models are trained and tested in the test set: (a) Linear Regression (LR), (b) Radial Kernel Support Vector Machine (SVM RBF), (c) Gradient Boosting Machine (GBM), and (d) Random Forest (RF). Root Mean Squared Error (RMSE), Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE) are used for calculating regression model predictive performance. When using all the predictors, the best model RF can provide RMSE value 7.33 in the test set.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.14 no.4
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• pp.268-275
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• 2014

In future, hospitals are expected to automatically issue remote transcriptions. Many general hospitals are planning to encrypt their medical database to secure personal information as mandated by law. The electronic medical record system, picture archiving communication system, and the clinical data warehouse, amongst others, are the preferred targets for which stronger security is planned. In the near future, medical systems can be assumed to be automated and connected to remote locations, such as rural areas, and islands. Connecting patients who are in remote locations to medical complexes that are usually based in larger cities requires not only automatic processing, but also a certain amount of security in terms of medical data that is of a sensitive and critical nature. Unauthorized access to patients' transcription data could result in the data being modified, with possible lethal results. Hence, personal and sensitive data on telemedicine and medical information systems should be encrypted to protect patients from these risks. Login passwords, personal identification information, and biological information should similarly be protected in a systematic way. This paper proposes the use of electronic acupuncture with a built-in multi-pad, which has the advantage of being able to establish a patient's physical condition, while simultaneously treating the patient with acupuncture. This system implements a sensing pad, amplifier, a small signal drive circuit, and a digital signal processing system, while the use of a built-in fuzzy technique and a control algorithm have been proposed for performing analyses.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.157-163
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• 2013

The development of the latest media technology has changed the traditional broadcasting system. The traditional broadcasting system, which was operated by the mass media and the terrestrial broadcasters, is now transformed to the viewer-centered and bidirectional media through the convergence of internet and mobile. In terms of broadcasting environment, the function of the traditional TVs has been changed to the Smart TVs combined with an open platform which not only deliver visual contents, but also supply various applications and additional information linking the content providers and viewers. This ongoing broadcasting environmental change has made it possible for viewers to participate in the programs such as reality shows or sports events through SNS, texting or phone calls. Therefore, the purpose of this experiment is to present the ways to promote easier and more convenient viewer-participation in the programs by applying mobile messenger to existing broadcasting system in order to enhance the involvement of broadcasters and viewers of the programs and to diversify the roles of content providers and viewers in broadcasting.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.5
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• pp.207-214
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• 2020

Nowadays, the use of smart phones and various electronic devices is increasing, the Internet and SNS are activated, and we live in the flood of information. The amount of information has grown exponentially, making it difficult to look at a lot of information, and more and more people want to see only key keywords in a document, and the importance of research to extract topics that are the core of information is increasing. In addition, it is also an important issue to extract the topic and compare it with the past to infer the current trend. Topic modeling techniques can be used to extract topics from a large volume of documents, and these extracted topics can be used in various fields such as trend prediction and data analysis. In this paper, we inquire the topic of the three-year papers of 2016, 2017, and 2018 in the field of computing using the LDA algorithm, one of Probabilistic Topic Model Techniques, in order to analyze the rapidly changing trends and keep pace with the times. Then we analyze trends and flows of research.

• Journal of Digital Convergence
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• v.18 no.8
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• pp.231-242
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• 2020

The thesis presents a system that continuously collects the human body's physiological vital information at rest with sensors and ICT information technology and predicts diabetes using the collected information. it shows the artificial neural network machine learning method and essential basic variable values. The study method analyzed the correlation between heart rate measurements of BCG and ECG sensors in 20 DM- and 15 DM+ subjects. Artificial Neural Network (ANN) machine learning program was used to predictability of diabetes. The input variables are time domain information of HRV, heart rate, heart rate variability, respiration rate, stroke volume, minimum blood pressure, highest blood pressure, age, and sex. ANN machine learning prediction accuracy is 99.53%. Thesis needs continuous research such as diabetic prediction model by BMI information, predicting cardiac dysfunction, and sleep disorder analysis model using ANN machine learning.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.3
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• pp.597-604
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• 2011

The various Smartphone platforms that are used currently make difficult to build efficient applications("apps") for Smartphone. Introduction of middleware in the Smartphone environment is being studied to solve this problem. By enhancing interoperability between server systems and Smartphone platforms as introducing this middleware supports efficiently for Smartphone apps to be developed and managed. Thus, the development of this middleware for Smartphone has become essential for the purpose of responding actively to the rapidly expanding Smartphone market. In this research, we designed and implemented Smartphone middleware which optimizes the cost and time for developing new application service and maintaining it. In order to test this implemented middleware's performance and its capabilities, we also developed university Smartphone apps and activated campus twitter.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.924-926
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• 2015

In this paper, we use the interface, which many countries concentrates research of Brain - Computer Interface with the device and MyndPlay based on the IoT intelligent Arduino. Finally we will make the Brain - Computer Connection environment, the purpose of Brain - Computer Interface. Recognizes the EEG of a person who wearing the equipment, analyze, classify, and we did a research to design an intelligent thing to suit user's condition. In addition, we use the XBee, and Bluetooth to communicate to other devices, such as smart phone. In conclusion, this paper check users current status via brain waves, and it allows to control the power and other objects by using the EEG(Electroencephalography).