• The Journal of Korea Robotics Society
• /
• v.12 no.4
• /
• pp.432-440
• /
• 2017

In this paper, we propose a jellyfish distribution recognition and monitoring system using a UAV (unmanned aerial vehicle). The UAV was designed to satisfy the requirements for flight in ocean environment. The target jellyfish, Aurelia aurita, is recognized through convolutional neural network and its distribution is calculated. The modified deep neural network architecture has been developed to have reliable recognition accuracy and fast operation speed. Recognition speed is about 400 times faster than GoogLeNet by using a lightweight network architecture. We also introduce the method for selecting candidates to be used as inputs to the proposed network. The recognition accuracy of the jellyfish is improved by removing the probability value of the meaningless class among the probability vectors of the evaluated input image and re-evaluating it by normalization. The jellyfish distribution is calculated based on the unit jellyfish image recognized. The distribution level is defined by using the novelty concept of the distribution map buffer.

• The Journal of Korea Robotics Society
• /
• v.1 no.2
• /
• pp.158-162
• /
• 2006

This paper presents a speaker recognition system intended for use in human-robot interaction. The proposed speaker recognition system can achieve significantly high performance in the Ubiquitous Robot Companion (URC) environment. The URC concept is a scenario in which a robot is connected to a server through a broadband connection allowing functions to be performed on the server side, thereby minimizing the stand-alone function significantly and reducing the robot client cost. Instead of giving a robot (client) on-board cognitive capabilities, the sensing and processing work are outsourced to a central computer (server) connected to the high-speed Internet, with only the moving capability provided by the robot. Our aim is to enhance human-robot interaction by increasing the performance of speaker recognition with multiple microphones on the robot side in adverse distant-talking environments. Our speaker recognizer provides the URC project with a basic interface for human-robot interaction.

• Korean Journal of Human Ecology
• /
• v.6 no.2
• /
• pp.15-26
• /
• 1997

The purpose of this study was to investigate the teacher's and parent's recognition of kindergarten and elementary school about the public education in early childhood education. Especially they included the recognition of concept and necessity, preconsideration, and the direction of future policy of early childhood education to public one. The subjects were 182 teachers and 190 parents in kindergarten and elementary school in Korea. The data was analyzed by Frequency, Percentage, and Chi-Square. The main results were as follows; 1. Teachers and parents defined the concept of public education of the early childhood education as a system which puts a direction in operation and support the finances of national and local government for public and private kindergarten. In addition, teachers and parents thought that the public education was necessary because early childhood was important in developmental aspects. 2. Teachers and parents insisted that the expansion of understanding about public education should be preconsidered and various early childhood programs should be developed. 3. Teachers and parents also agreed that the public education policy should be based on the model and should be progressed sequentially. But they distrusted the current policy.

• Korean Journal of Child Studies
• /
• v.29 no.5
• /
• pp.301-319
• /
• 2008

This study investigated the effectiveness of reading intervention on at-risk readers from first through third grade. The 34 children below the 20th percentile on an oral reading fluency test participated in the reading intervention program for 15 weeks. They received small group instruction in one 40-minute session per week. Data were analyzed with one-way ANOVA, paired t-test and effect size for individual cases. Upon completion of the intervention, at-risk first graders showed significantly higher performance in print concept, word recognition, oral reading fluency and reading comprehension. The at-risk second and third graders improved only in oral reading fluency. Most of children who received the intervention demonstrated a large effect in oral reading fluency.

• Journal of the Korean Institute of Telematics and Electronics B
• /
• v.33B no.2
• /
• pp.187-196
• /
• 1996

This paper introduces the concept of fixed weights and proposes an algorithm for classification by adding this concept to vector space separation method in LVQ. The proposed algorithm is based on competitive learning. It uses fixed weightsfor generality and fast adaptation efficient radius for new weight creation, and L1 distance for fast calcualtion. It can be applied to many fields requiring adaptive learning with the support of generality, real-tiem processing and sufficient training effect using smaller data set. Recognition rate of over 98% for the train set and 94% for the test set was obtained by applying the suggested algorithm to on-line handwritten recognition.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2004.04a
• /
• pp.235-240
• /
• 2004

In this paper, we propose a framework for ontological knowledge-based image understanding systems. Ontology composed of concepts can be used as a guide for describing objects from a specific domain of interest and describing relations between objects from different domains The proposed framework consists of four main subparts ⅰ) ontological knowledge bases, ⅱ) primitive feature detectors, ⅲ) concept inference engine, and ⅳ) semantic inference engine. Using ontological knowledge bases on various domains and features extracted from the detectors, concept inference engine infers concepts on regions of interest in an image and semantic inference engine reasons semantic situations between concepts from different domains. We present a outline for ontological knowledge-based image understanding systems and application examples within specific domains such as text recognition and human recognition in order to show the validity of the proposed system.

• Hwankyungkyoyuk
• /
• v.12 no.1
• /
• pp.264-275
• /
• 1999

The purpose of this study is to suggest a systematic and effective way of environmental education by analyzing current environment classes being provided as one of elective courses in some middle schools and their impact on the students. To conduct this study, 1,467 students of 36 middle schools were asked to fill out the questionnaire of 30 items and they were divided into two different groups depending upon whether they were taking ‘environment’ classes at school or not. The survey was peformed to see if there is a difference between these two groups in terms of their recognition of environmental problems and their daily practice of that concept. The conclusion is that the students taking environment classes have more knowledge about environmental issues than the ones without the classes, but their actual behaviors show no difference. In that point, it is necessary to take up a more effective and practical way of environmental education together with teaching its theoretical values.

• Journal of the Korean Institute of Telematics and Electronics B
• /
• v.30B no.4
• /
• pp.116-129
• /
• 1993

This paper proposes an on-line Recognition scheme of cursive Korean characters based on the DP matching and fuzzy concept. The proposed algorithm, invariant to rotation and size, reduces greatly the computational requirement of dynamic programming by matching phonemes rather than character patterns, where the angle difference and the ration of lengths between input and reference patterns are adopted as matching features. The correct matching of poorly written cursive characters becomes possible by introducing the fuzzy concept in representing the features of phonemes and the ralative position between adjacent phonemes. Computer simulation results are observed to show the effectiveness of the proposed algorithm.

• ETRI Journal
• /
• v.29 no.2
• /
• pp.179-188
• /
• 2007

We propose a multi-strategic concept-spotting approach for robust spoken language understanding of conversational Korean in a hostile recognition environment such as in-car navigation and telebanking services. Our concept-spotting method adopts a partial semantic understanding strategy within a given specific domain since the method tries to directly extract predefined meaning representation slot values from spoken language inputs. In spite of partial understanding, we can efficiently acquire the necessary information to compose interesting applications because the meaning representation slots are properly designed for specific domain-oriented understanding tasks. We also propose a multi-strategic method based on this concept-spotting approach such as a voting method. We present experiments conducted to verify the feasibility of these methods using a variety of spoken Korean data.

• The Journal of Korean Medical History
• /
• v.21 no.1
• /
• pp.13-28
• /
• 2008

The concept of health has existed through the history of mankind; the recognition and adaptation of such concept has transformed over time with the development of culture throughout the age of humans. These concept wasn't absent in the content East Asian Medicines, which is represented by Huangdi's Internal Classic. However, due to imperialism and colonial polocies in the past, biomedical concepts of health has been accepted with force. The concept of "health" in pathological medicines of biomedicine refers to the of anatomical and biological completeness of the body system. In East Asia, Korean especially, a number of concepts regarding these subjects has been informed by Japanese physicians, such as Hukujawa Yukichi. Understanding the idea of body in the angle of philosophy, history, and medicine in the cultural area of East Asia is necessary.