KJC Korea
Journal Central

In this paper, we experimented the validity of our solar powered shooting system working even at power cut environment. Our new photographing system was composed by the rules of electric power consumption of components devices. To choose a appropriate device, we measured the electric current values of each individual device using the digital power analyzer. Our proposed shooting system was designed to suit the purpose of recording construction building process. The system could operate successfully without normal electric supply thanks to solar energy generating module. The shooting section of our system is composed of DSLR camera module, control computer and wireless communication module. We applied interval shooting method to reduce the electric consumption in our system. Since the period of construction projects would be long time, it is generally known that time-lapse photographing is exactly appropriate to record the construction process. in experiments, we could find that the consumption of an industrial computer installed to control DSLR(Digital Single Lens Reflex) camera and wireless modem was the greatest in comparison with the other devices. The relative consumption ratio was about 45%. On contrast, the camera module consumed 8.5 Watt and the modem device consumed 5.5 Watt. After the measurement of each component, we examined the entire consumption of our new system. In conclusion, we could confirmed that our proposed system was able to work within 300 watt solar power a day. Also, we could achieve 7.64% energy reduction effect using our new algorithm with varing shooting intervals.

In recent, there is a rising interest on self-presentation based on personal color, a color that matches an individuals’ physical attributes, with an increased emphasis on individuals’ personalities. Nevertheless, it is inconvenient for the individuals to determine their own personal colors accurately, since conventional personal color diagnosis procedures highly depends on various instruments and subjective judgment. In order to address this problem, this paper aims to develop an intelligent personal color diagnosis system that allows the individuals to identify their personal colors by themselves. The proposed system maintains the face images of celebrities with known personal colors, and the personal color of an user is determined by applying the diagnosis model based on the personal color data of celebrities. In this paper, the diagnosis model for the proposed system is constructed by applying the conventional classification techniques such as decision tree, nearest neighbor classifier and naive Bayesian classifier to the face image data of 100 celebrities, and the consequent model is applied to 20 female undergraduates with known personal color identified through visiting professional consultants. The experiment results demonstrate that the proposed system has the promising diagnosis ability so that it can replace the human experts. Moreover, it is expected that the system not only allows the individuals to identify their personal color conveniently, but also enables advanced services based on personal color.

Selecting user's interest information in massive contents provided to users of various web services and mobile services gives fatigue to users and lowers efficiency. The personalized service can provide the user with the information of interest, but the existing method of providing the information of interest is not intuitive to the user and the utilization is not high because it provides the uniformized information of the character form. In this paper, we propose a visualization architecture and process of personalization service that can provide users with intuitive information of interest. We propose an Online Data Collector, an Offline Data Collector, a Personalization Service and a R Adapter for each component of the architecture for personalization service visualization. It also defines the sequential processing of the components within the architecture. It collects and analyzes user's interest data on-line and off-line, visualizes it through R language, and provides it to web service and mobile service. In the case study, we verify the suitability of the proposed architecture and the processing process by collect, analysis, and visualize interest information that is transmitted between offline beacon sensors and mobile device users. Through the visualization service proposed in this paper, users can receive intuitive personalization services and service providers can provide effective services.

People's interest in using Korean medicine and herbal medicine has increased. In order to promote the stable use of medicinal herbs and prepare for the effectuation of the Nagoya protocol, we developed a system to search for specialized information on 478 medicinal herbs. 58 databases have been established based on the medicines issued by the Food and Drug Administration. It contains nine major items including the “Name”, “Medicinal property”, “Origin”, “Distinction”, “Physico-chemistry”, “In vivo & In vitro”, “Clinical application”, “Production and processing”, and “Patent”. The schema is designed to search for information. And we developed a search system for use in the OASIS. Administrator pages for modification and management of database are developed and operated separately. The findings of this study allow for easier navigation of proven professional information. In response to the effectuation of the Nagoya Protocol, each country needs to secure a database of biological resources. Thus, it is considered that it will serve as a foundation for the construction of data for the national economy.

In this paper, the appropriate model is selected for the risk assessment of the electric utility pole data with the help of cheat sheets and k-fold cross validation. In order to analyze, predict and forecast the data, the appropriate model has to be selected. The major issue is the declination of the accuracy in the model fitting, which may result in poor model selection. There are different type of machine learning algorithm, which makes it difficult to conclude the model selection. To ensure the proper selection of the model, we undergo a two-step process. Firstly, the basic model is selected with the existing model selection cheat sheets named as Scikit learn and Microsoft azure, by understanding the available input and required output of the data. After getting through the multiple question, the respective models such as Generalized Additive Model, Generalized Linear Model, Linear Regression and Support Vector Machine are obtained. In order to attain the appropriate model, we perform k-fold cross validation to estimate the risk of the algorithms, by comparing 2-fold, 8-fold and 10-fold cross validation. Between the three set, the 10-cross fold validation of generalized additive model is selected with the least risk error. Using k-fold cross validation, we estimate the accuracy of the model that is suitable for the data, by using the electric power data set.

As the fourth industrial revolution, a new industrial structure, has become an issue, the concept of artificial intelligence like Alpha go, the virtual currency created based on block chaining with strong functions in terms of security and decentralization, and Internet of Things (IoT) is getting more and more interesting. On the other hand, in the elementary, middle and high school education field, programming education is being activated based on physical computing using Arduino. Therefore, in this study, IoT prototype system is implemented using Arduino board and Smart Gateway, which is an IoT platform based on OpenWRT. In other words, it is possible to control the external electronic devices such as the LED and the motor in various forms by receiving the value from the end point which is limited intelligence such as various sensors such as temperature and humidity sensor, optical sensor, camera, and RFID tag to implement an IoT prototype that can interact with objects. The IoT prototype system based on Arduino board and OpenWRT can be used as educational contents. Also, Because creative thinking can be easily implemented by connecting with hardware, it can contribute to development of fusion education. On the other hand, the program source and the circuit diagram can be utilized as education contents in the physical computing education course using the board such as Arduino or the IoT related education course.

This study is to discover how the pre-service teachers at the department of computer education in Korea perceive for elementary school teachers role. The research classified the types through the Q-methodology in extract of the objective thought of participants and analysis of each type’s characteristic. It was extracted by many statements through interview with participants and review of the advanced study. Futhermore it produce 52 statements result as Q sample by analysis. The Q-sample was Q-sorted by P-sample of the 66 participants and was analyzed by QUANL program. As a result, the type to perception of pre-service teachers classified into three types. The type 1 is called ‘Teacher as personality centered devotee’. The type 2 is called ‘Teacher as reality centered worker. and The type 3 is called ’Teacher as ability centered expert’. Additional explanation, Type 1 indicates teachers must be educated based on personality and love, It considers teachers’ role as priests or doers in according to traditional teacher roles. Type 2 emphasizes on teacher’s happy life and proud as well as own reality. Type 3 put teacher weight on skillful teachers in teaching through instruction methods. It also looks at teachers as experts who need to various expertise such as art, music and physical education, computer, chinese character, english, and school management.

The convergence between ICT and other industrial sectors is gradually continued by the change of industrial structures under the forth industrial revolution. An industry makes a convergence with other industries and that creates a new industry. In this situation, the human resource is necessary to understand and to lead developing technologies of the converged industry. To achieve the goal, the curriculum of growing convergence type personnel is required. For that, it is time to make a convergence education program for educating convergence type personnel. We design a curriculum to foster the human resource of a convergence industry sector depending on NCS. In this study, we select and try to converge health information management competency and application SW engineering competency for the ICT medicine convergence industry. According to the analysis which is based on the selected competency units, the knowledge of competency units elements, skill, and attitude, we choose competency units which will be involved in the designed curriculum. We select subjects which is based on the analysis and design the convergence curriculum for the ICT medicine convergence industry. The goal of this study is to foster convergence human resources by designing the convergence curriculum by using NCS.

This study compared methods of designing a robust PID controller, which satisfies the design specification in a system with time delay, and has robustness and stability at the same time. This study compared the PID controller tuning method of Ziegler and Nichols and the PID controller design method by using the suggested by Grassi of . The PID controller tuning methods of Ziegler and Nichols include a step response method, a frequency response method, and a modified method. The PID controller tuning methods of Ziegler and Nichols are widely used in industrial fields and are easy to design mathematically. They are PID control tuning methods widely used for the systems that the dynamic characteristics of a plan are not fully known. The PID controller design method using Grassi of is a PID tuning method that norm, which guarantees the stability and robustness, uses the convex optimization method. This study compared the method of Ziegler and Nichols and the method proposed by Grassi of to propose a controller tuning method guaranteeing the stability and robustness, supposed to be guaranteed by a PID controller. Moreover, the performance of two methods was compared through simulations. In order to consider the design specifications for the frequency domain, simulations were compared after dividing the design conditions into a low-frequency barrier, satisfying the command follow-up and external disturbance canceling performances, and a high-frequency barrier, corresponding to the low sensitivity performance against the sensor noise.

Popular Korean music has been a hit in the world since the 1990s, when the 'Gangnam Style' of Psy began to hit K-Pop. In 2017, Bang Tan Boys(BTS) are gaining popularity among music fans around the world. As K-pop spreads to music fans around the world, the Korean music industry is rapidly developing. In addition, due to the development of IT technology, the analog music market, which is represented by LP and cassette tapes, has been turned into MP3 digital music market. The development of the digital sound source market has been closely related to the use of PC, MP3 player, and mobile phone, and the sound source market centered on digital sound source has grown rapidly. However, the growth of the digital sound source market was the only market for completed music. As a result, sales channels for songwriting and lyrics have been limited due to the lack of a distribution channel. In this study, we developed a mobile sound source market application that can be purchased by a music producer or an aspiring singer, by publishing a lyric, composition or unpublished digital sound source produced by an expert as well as experts. The application searches by theme, genre, and title so that registered text and sound source can be purchased. We made it possible for the sound producer to buy the sound source through preview and pre-listening. We expect to activate digital sound source production, rational sound source circulation, activation of sound source market and contribute to the growth of the music industry through this application.

Recently, many companies or organizations are introducing cloud services for managing digital records. Cloud services can dramatically reduce the cost of archiving and managing digital records, and provide a foundation for resilient management of digital records, depending on the business environment. However, due to the nature of the services provided by the cloud and the inherent risk inherent in the cloud, many companies are reluctant to apply cloud services to digital records management. In particular, the characteristics of digital records that should be stable and long-term preserved, and the characteristics of the cloud that needs to change the configuration of the server and storage from time to time in accordance with the user's request, often conflict with each other. These risk factors can vary widely depending on the nature and type of the cloud, which can seriously jeopardize the stability of digital records. In addition, cloud record management can be based on network-based locations where records are used and where they are stored locally or nationally, creating new legal and social issues that have not been experienced before in record management. In this paper, we analyze the risk factors of digital records management using cloud service and propose the countermeasures to solve them.

Among various evaluations, the evaluation of the reorganization of the university is recognized as a very important evaluation corresponding to the existence of the university. Other assessments have a similar pattern, but most of these evaluations are evaluating quantitative and qualitative indicators together. Since qualitative indicators can be derived different results depending on the evaluator, quantitative indicators are derived based on the determined data. Therefore, it is possible to list the values ​​and ranking of the current status for each university. Based on the quantitative indicator values, It becomes a decision-making tool. Currently, there is no public system that lists national universities by quantitative index, and each university has its own development. Therefore, most universities are doing repetitive tasks of collecting and database data, and spend a lot of time and effort accordingly. In this study, to classify the Excel type data provided by academyinfo into database, quantitative index data was classified and the problem of field name was solved and the field name of the collected data was modified. A simple type of output is to input the SQL statement and list the results.

To secure the safety and reliability of the electronic financial transactions, the financial company perform vulnerability analysis and evaluation on the electronic financial infrastructure. However, the financial sector vulnerability analysis and evaluation criteria that are used in the analysis and evaluation of electronic financial infrastructure vulnerabilities by financial companies have not been updated since its distribution in 2012, Although vulnerability analysis and evaluation agencies such as the financial information sharing and analysis center and the information security professional services company are updating their own vulnerability analysis and evaluation standards, since the standards are not standardized, financial companies are confused when performing vulnerability analysis and evaluation. n this paper, we analyze the problems of the existing analysis and evaluation criteria of the electronic financial infrastructure and propose a measure to establish a reasonable inspection standard in accordance with the characteristics of the financial institution's electronic financial infrastructure and suggest a supplementary point using the information security management system. In addition, We introduced example case of establishing the criteria of analyzing and evaluating the vulnerability according to the autonomous security system of the financial company

Atopic dermatitis(AD) is a typical environmental disease considered to be correlated with harmful environmental factors. Rapid environmental changes have increased the prevalence of AD. AD requires management of various environmental factors in daily life. In this study, personal health record(PHR) - based AD management service, which can be managed by the user, was developed by analyzing the living environment management factors provided in the domestic website. 22 living environmental factors for improvement of AD symptom were classified as daily check items for pre - treatment and care during treatment, and contents of lifestyle education were constructed respectively. We also developed a Korean Medical of personal health record(PHR) platform for AD management by establishing a data collection system through user records, wearable devices, IoT sensing devices and public information. In addition to provide the simple information, it is possible to conduct bi-directional self-checkings more actively through the self-recordings, the collection data of devices, and the education of environmental factors. The results of this study can be used to a study of the management of AD in the future.

We propose a calibration system for ocean wave simulation that can accurately measure oceanic waves. There are calibrating devices that measure the height of various waves in overseas, but we recognized that no standard model had been not formed yet. Besides, existing systems cannot calibrate various ocean waves and can only measure ocean wave height. Therefore, it is not possible to verify that the current ocean wave measuring device is measuring the correct data. To solve this problem, we propose a system that can measure ocean wave by simulating and calibrating. The system uses three motors to achieve wave height and direction. Besides, we can also implement various waves using our developed software. To do that, we first analyze the types of waves that occur in the ocean and can reproduce them in the experiment. We measured the height of the waves that can be compared and analyzed and verified through experiments that the data are similar. We can also confirm that a similar oceanography is drawn using the output data. Our system includes a calibration function that allows the instrument to measure wavelength with accurate data. Ocean wave measurement equipment provides a variety of simulation functions to measure ocean waves. Our system is the first product in Korea, and we hope to use this system for ocean wave investigation and various fields.

The resonant acoustic method is a volumetric resonant inspection technique that measures the structural integrity of each part to detect defects, anomalies and inconsistencies on a component level. This technique automates easily. It eliminates human errors and subjectivity with fast throughput. Also it provides cost-effective inspection by minimal disruption to production and successes on the production lines of powder metal and cast parts. Resonant inspection measures the structural response of a part and evaluates it against the statistical variation from a control set of good parts to screen defects. Its volumetric approach tests the whole part, both for external and internal structural flaws or deviations, providing objective and quantitative results. This structural response is a unique and measurable signature defined by a component’s mechanical resonances. In this research, we propose a new method of the non-destructive quality test based on acoustic signal recognition. It helps to determine whether inspection object parts are defective and normal. It uses pattern recognition algorithm applicable to acoustic signal and resonant frequency analysis of the tapping sound measurement value, following of trippet tapping the surface of the inspection object parts with constant strength. We verified that it has inspection ability of the improve performance, accuracy, objective and reliability of the products through the numerical analysis processing method to the obtained data.