• Journal of Platform Technology
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• v.6 no.1
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• pp.24-30
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• 2018

LMT consisting of 10 landscape elements is one of psychology diagnosis method for inspecting the psychological state of client. In this paper, we make knowledge base accumulating knowledge about LMT landscape elements. By using this knowledge base, we also propose and implement LMT diagnosis assistance system generating LMT inspection report being a result of diagnosis. This proposed system generates diagnosis report based on LMT knowledge base which accumulate knowledge from plenty of reference and research project, that's why we improve the objectivity of diagnosis results. And new knowledge about LMT can be accumulated in knowledge base, so the system proposed in this paper can be extensible continuously. The implementation of system proposed in this paper offers web-based services. To show effectiveness of the system, we diagnose the actual case by using the system, and show the diagnosis result.

• Journal of Korea Multimedia Society
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• v.20 no.2
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• pp.313-321
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• 2017

The emergence of E-book have allowed readers to interact with other readers and to actively participate (e.g. social reading). Furthermore, there is a growing demand in writer's community to take the advantage of the feedback from their readers to update the content of E-book. To do that, they require the service that utilizes the user feedback while creating or updating the e-book content. This study aims to let authors collect and to apply the reader's feedback on E-book content. However, in order to apply the user feedback, users first need to explicitly type the feedback, and even if they do, authors need to develop the software to automatically analyze and to apply the user feedback. This makes difficult for authors without programming background to produce E-book with automatic content adaptation. In this paper, we propose Feedback Clue Model to generate, analyze and apply the user feedback into E-book content. Based on this model, we develop the block editor which allows easy implementation of E-book that can be dynamically updated.

• Journal of Sensor Science and Technology
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• v.26 no.5
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• pp.331-337
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• 2017

A readout circuit for a tactile sensor pad based on force sensing resistors was proposed, which was composed of an analog signal conditioning circuit and a digital circuit with a microcontroller. The conventional signal conditioning circuit has a dc offset voltage in the output signal, which results from the reference voltage applied to the FSR devices. The offset voltage reduces the dynamic range of the circuit and makes it difficult to operate the circuit under a low voltage power supply. In the proposed signal conditioning circuit, the dc offset voltage was removed completely. The microcontroller with A/D converter and D/A converter was used to enlarge the measurement range of pressure. For this, the microcontroller adjusts the FSR reference voltage according to the resistance magnitude of FSR under pressure. The operation of the proposed readout circuit which was connected to a tactile sensor pad with $5{\times}10$ FSR array was verified experimentally. The experimental results show the proposed readout circuit has the wider measurement range of pressure than the conventional circuit. The proposed circuit is suitable for low voltage and low power applications.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07a
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• pp.91-93
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• 2005

교육에서 평가가 매우 중요하기 때문에, 인터넷과 정보통신 기술의 발달로 웹을 기반으로 하는 평가에 대한 연구들이 활발히 이루어지고 있으며, 또한 현재의 교육평가에서 강조되고 있는 수행평가를 지원하는 시스템 개발에 대한 연구들이 많이 이루어지고 있지만 이러한 연구들에서 제시하는 평가 시스템이나 수행평가 시스템은 학생들이 대부분의 시간을 보내는 현재의 교실에서 수업 시간에 사용하기는 힘들다. 따라서 본 연구에서는 현재의 교실에서 바로 사용이 가능하며, 수업 시간 중에 언제든지 수시로 사용할 수 있는 무선 수행평가 시스템을 설계하고 구현하였다. 본 연구의 시스템은 수업 과정에서 수시 평가를 통해 목표 달성을 위한 방법을 즉시 수정, 보완할 수 있도록 도울 것이며, 교사의 수행평가 업무를 수월하게 만들 것이고, 학습의 질을 향상시켜 공교육의 신뢰성을 증진시키는데 기여하게 될 것이다. 더 나아가 다양한 수업 활동에도 적용 가능하고, 교사와 학생, 학생과 학생들 간의 실시간 커뮤니티 도구로도 활용될 수 있을 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.885-888
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• 2018

This paper researches a way of detecting fish robots moving in an aquarium. The fish robot was designed and developed for interactions with humans in aquariums. It was studied merely to detect a moving object in an aquarium because we need to find the positions of moving fish robots. The intention is to recognize the location of robotic fish using an image processing technique and a video camera. This method is used to obtain the velocity for each pixel in an image, and assumes a constant velocity in each video frame to obtain positions of fish robots by comparing sequential video frames. By using this positional data, we compute the distance between fish robots using a mathematical expression, and determine which fish robot is leading and which one is lagging. Then, the lead robot will wait for the lagging robot until it reaches the lead robot. The process runs continuously. This system is exhibited in the Busan Science Museum, satisfying a performance test of this algorithm.

• Journal of Platform Technology
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• v.9 no.2
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• pp.3-9
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• 2021

The management of sensor information requires the functions for registering, modifying and deleting rapidly sensor information about various many sensors. In this research, Celery and MongoDB are used for developing a sensory data management system. Celery supplies a queue structure based on asynchronous communication in Python. Celery is a distributed simple job-queue but reliable distributed system suitable for processing large message. MongoDB is a NoSQL database that is capable of managing various informal information. In this experiment, we have checked that variety of sensor information can be processed with this system in a IoT environment. To improve the performance for handling a message with sensory data, this system will be deployed in the edge of a cloud infrastructure.

• Journal of Platform Technology
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• v.6 no.4
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• pp.26-33
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• 2018

In this paper, we propose an image retrieval algorithm for real-time processing and design it as hardware. The proposed method is based on the classification of BoWs(Bag of Words) algorithm and proposes an image search algorithm using bit stream. K-fold cross validation is used for the verification of the algorithm. Data is classified into seven classes, each class has seven images and a total of 49 images are tested. The test has two kinds of accuracy measurement and speed measurement. The accuracy of the image classification was 86.2% for the BoWs algorithm and 83.7% the proposed hardware-accelerated software implementation algorithm, and the BoWs algorithm was 2.5% higher. The image retrieval processing speed of BoWs is 7.89s and our algorithm is 1.55s. Our algorithm is 5.09 times faster than BoWs algorithm. The algorithm is largely divided into software and hardware parts. In the software structure, C-language is used. The Scale Invariant Feature Transform algorithm is used to extract feature points that are invariant to size and rotation from the image. Bit streams are generated from the extracted feature point. In the hardware architecture, the proposed image retrieval algorithm is written in Verilog HDL and designed and verified by FPGA and Design Compiler. The generated bit streams are stored, the clustering step is performed, and a searcher image databases or an input image databases are generated and matched. Using the proposed algorithm, we can improve convenience and satisfaction of the user in terms of speed if we search using database matching method which represents each object.

• Journal of Platform Technology
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• v.6 no.4
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• pp.41-48
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• 2018

Accidents involving infants and toddlers are occurring frequently, and if elementary measures are not smooth, they can lead to even greater accidents. Rapid elementary measures require an appropriate monitoring system, and it is necessary to build a system that can accurately monitor the child's living condition and notify the emergency situation immediately. Recently, with the development of IoT technology, various types of sensors are being developed in a very small size, and development of wearable devices connected with smart phones is accelerating with the development of smart phones. By using these wearable devices, it is possible to reduce the risk of infant accidents and to respond promptly in case of an accident. In this paper, we propose a wearable system that can monitor the infant condition and present a service to prevent infant accidents.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.3
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• pp.595-600
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• 2019

Educational tools for infants and younger students are becoming smarter as ICT-based digital technology convergence extends according to the development of technology. As the digital interaction function of smart education tools gives students greater immersion and fun, a learning might become a play to the students. The technologies used in the implementation of smart education tools come from the disciplines of robotics, computer engineering, programming, and engineering and mathematical foundations and these can be integrated into the field of education itself. This paper designs and implements a product based on optimized physical computing for R&D and education in consideration of the characteristics of educational tool robots used in the field education. It was developed to enable physical education for sensing information processing, software design and programming practice training that is the basis of robot system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.11
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• pp.1534-1538
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• 2020

Smart farming education service focuses on the dissemination of farming information that is the farming knowledge, farming skill, and farmer's experiences and knowhow, etc. This farming information is supposed from current activities, farming product and from the experience of farmer on the field. If the information is not available, or if available and not in a form that is amenable to being brought to the end producer then the process stalls at this point. The core component of the automation process for smart farming education service is the creation of a data store which will be a repository for the information of the smart farming education. The farming sector will benefit immensely from the implementation of farming data in farming contents repository which will serve as the knowledge base for the smart farming education service.