• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.4
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• pp.1796-1816
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• 2020

The health and safety of elderly and disabled patients who cannot live alone is an important issue. Timely detection of sudden events is necessary to protect these people, and anomaly detection in smart homes is an efficient approach to extracting such information. In the real world, there is a causal relationship between an occupant's behaviour and the order in which appliances are used in the home. Bayesian networks are appropriate tools for assessing the probability of an effect due to the occurrence of its causes, and vice versa. This paper defines different subsets of random variables on the basis of sensory data from a smart home, and it presents an anomaly detection system based on various models of Bayesian networks and drawing upon these variables. We examine different models to obtain the best network, one that has higher assessment scores and a smaller size. Experimental evaluations of real datasets show the effectiveness of the proposed method.

• Journal of Electrical Engineering and Technology
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• v.9 no.3
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• pp.1034-1042
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• 2014

For the remote operation of the mobile robot, the human operator depends fully on the sensory information which is the partial information of the workspace of the mobile robot. It is usually very hard to fully manually operate the mobile robot in this situation. We propose the efficient guidance navigation method for improving the efficiency of the remote operation with the expanded guide circle using the sensory information. The guidance command is generated from the proposed algorithm using the expanded guide circle. We evaluated the performance of the proposed algorithm using the experiments.

• Culinary science and hospitality research
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• v.16 no.3
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• pp.278-285
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• 2010

The purpose of this study is to analyze the sensory and mechanical characteristics, moisture content, color and texture of soybean dasik prepared by additions of bamboo leaf powder. The moisture content of the samples ranged from 24.39 to 26.29%. The L values, a values and b values were decreased with increasing the bamboo leaf powder. In the mechanical evaluation, hardness, gumminess and chewiness increased with increasing amounts of bamboo leaf powder while adhesiveness decreased with increasing amounts of bamboo leaf powder. Finally, in the sensory test, the 6% bamboo leaf powder sample received the highest scores for taste, flavor and overall acceptability.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.54 no.3
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• pp.156-165
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• 2005

Human being recognizes the physical world by integrating a great variety of sensory inputs, the information acquired by their own action, and their knowledge of the world using hierarchically parallel-distributed mechanism. In this paper, authors propose the sensor fusion system that can recognize multiple 3D objects from 2D projection images and tactile informations. The proposed system focuses on improving recognition performance of 3D objects. Unlike the conventional object recognition system that uses image sensor alone, the proposed method uses tactual sensors in addition to visual sensor. Neural network is used to fuse the two sensory signals. Tactual signals are obtained from the reaction force of the pressure sensors at the fingertips when unknown objects are grasped by four-fingered robot hand. The experiment evaluates the recognition rate and the number of learning iterations of various objects. The merits of the proposed systems are not only the high performance of the learning ability but also the reliability of the system with tactual information for recognizing various objects even though the visual sensory signals get defects. The experimental results show that the proposed system can improve recognition rate and reduce teeming time. These results verify the effectiveness of the proposed sensor fusion system as recognition scheme for 3D objects.

• Journal of the Korea Society of Computer and Information
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• v.20 no.11
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• pp.55-62
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• 2015

In this paper we propose a method to analyze user's motion as a game command, and implement a sports serious game applied the motion analysis method as a command interpreter. Recently, various contents platforms appear in industrial market, the computer game contents plays an important role in these emerging platforms as a killer contents. The computer game has enough values as an independent major cultural product, moreover it has the potential to be applied in various other fields such as education, healthcare, training, and so on. It could motivate users to do something continuously, and it could also support an immersive environment in a certain special game contents such as VR game. The Serious game 'ChoDeungGangHo', implemented in this paper, is the sensory healthcare serious game based on 3D run game and fitness game. It is designed for user to train the various exercise element by just playing the game, and it also supports the user management system and the linkage of social media. We proposes the sensory serious game 'ChoDeungGangHo' as a model of commercial serious game.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.150-152
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• 2022

In this work, we propose a model that considers the behavior and synaptic plasticity of sensory neurons based on Liquid Time-constant Network (LTC). The neuron connection structure was experimented with four types: the increasing number of neurons, the decreasing number, the decreasing number, and the decreasing number. In this study, we experimented using a time series prediction dataset to see if the performance of the changed model improved compared to LTC. Experimental results show that the application of modeling of sensory neurons does not always bring about performance improvements, but improves performance through proper selection of learning rules depending on the type of dataset. In addition, the connective structure of neurons showed improved performance when it was less than four layers.

• Journal of Korean Society for Quality Management
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• v.21 no.2
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• pp.215-223
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• 1993

A paired comparison which is a method of comparative judgements is widely used to increase the amount of information transmitted to human sense organ. In this study, a paired comparison method is proposed for the discrimination capacity and preference analysis of non-skilled sensory inspectors. We consider on order effect, that is, difference of evaluation occurred as a result of sample presentation by random order. The purpose of this paper is to determine a sample with the highest preference degrees by analyzing a discrimination capacity and evaluating preference degrees of sensory inspectors. An analysis of a discrimination capacity is bared on the capacity index obtained by an eigen-vector method and an evaluation of preference degrees is performed by a significance test.

• Archives of design research
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• v.19 no.3 s.65
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• pp.5-18
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• 2006

Digital information society shows a variety of contents of cross-categorial digital media in their inner or outer forms and concepts of the artistic aspects. In order to cope with such a complicated, unexpected trend in digital media and its industry, a new approach in the design process needs to be developed and adjusted with the new equipment of the creativity-thinking process of 'the Multi-Sensory Device (MSD),' 'the Multi-Dimensional Device (MDD),' and 'the Storytelling Device (SD)' in the Prism Effect-based Creativity-Thinking Process (PECTP). The PECTP is in principle designed to practically work with the four distinct techniques: 1) Physical Activity, 2) Linguistic Activity, 3) Visual Activity, and 4) Complex Activity. Consequently, this thesis notes that the nature of the cross-categorial design contents is necessarily non-directional since the creativity power inside the Prism Effect results in openness and diversity.

• The Korean Journal of Physiology
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• v.28 no.1
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• pp.105-111
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• 1994

The present study was carried out to determine the effects of intracisternal administration of three doses of bombesin $(0.001,\;0.01\;and\;0.1\;{\mu}g)$ on afferent somatosensory transmission in single neurons of the spinal trigeminal nucleus of anesthetized rats. Lower doses $(0.001\;{\mu}g)$ of bombegin did not change the afferent sensory transmission. Medium doses $(0.01\;{\mu}g)$ of bombesin significantly (p p<0.01) facilitated afferent sensory transmission in the 6 to 30 min post-drug period, but higher doses $(0.1\;{\mu}g)$ inhibited responsiveness of spinal trigeminal neurons in the 16 to 35 min post-drug period. The results indicate that endogenous bombesin-like peptide present in the spinal trigeminal nucleus may participate in the processing of the somatosensory information arising from the face.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.2
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• pp.258-272
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• 2016

This study estimated a structural model for examining causal relationships among flagship store experiences, store emotion and loyalty, and to compare the structural models between luxury and fast fashion SPA brands. A total of 416 responses were collected from consumers who had experience with a variety of luxury and SPA flagship stores. Findings confirmed that flagship store experience consisted of four factors, such as sensory, affective, intellectual and behavioral experiences. Sensory and behavioral experiences had positive effects on store emotion that influenced loyalty. Affective and cognitive experiences influenced loyalty. All aspects of experiences explained store emotion or loyalty for luxury flagship stores; however, two of experiences (i.e., sensory and affective) were important to determine store emotion or loyalty for SPA flagship stores. The study discussed managerial implications for fashion brands to develop and manage flagship stores.