• Journal of information and communication convergence engineering
• /
• v.19 no.1
• /
• pp.29-35
• /
• 2021

While the population of pet dogs and pet-related markets are increasing, there is no convenient and reliable tool for pet health monitoring for pet owners/caregivers. In this paper, we propose a mobile platform-based pre-diagnosis system that pet owners can use for pre-diagnosis and obtaining information on coping strategies based on their observations of the pet dog's abnormal behavior. The proposed system constructs symptom-disease association databases for 100 frequently observed diseases under veterinarian guidance. Then, we apply the possibilistic fuzzy C-means algorithm to form the "probable disease" set and the "doubtable disease" set from the database. In the experiment, we found that the proposed system found almost all diseases correctly, with an average of 4.5 input symptoms and outputs 1.5 probable and one doubtable disease on average. The utility of this system is to alert the owner's attention to the pet dog's abnormal behavior and obtain an appropriate coping strategy before consult a veterinarian.

• The Journal of the Korea Contents Association
• /
• v.13 no.2
• /
• pp.331-340
• /
• 2013

Recently there is a heated debate going on regarding the patient-doctor communication in the medical schools and medical service sector. Patient-doctor communication is an interactive communication made during the consultation session which is known to bring positive effect to both the patient and the doctor. Through this research, a doctor coaching model was developed by combining a method that would help the patient and doctor communicate better by increasing the doctor's communication skill and a coaching mechanism. Through the research, the doctor coaching model consists of 5 levels. First is the 'relationship creation' which would cause the doctor's interest and expectations toward coaching mechanism. Second is 'recognition of change' and this would cause to understand the problem and pros of the doctor's communication with the patient and set a direction regarding the coaching. Third is 'understanding the perspective' and this would lead the doctor to think from the patient's perspective. Fourth is 'increasing problem solving and communication skills' and this would set specific terms as to how the doctor can improve his communication skills. Fifth is 'goal setting and support' where goal regarding the improvements can be set and agreement regarding the ways to maintain and strengthen the advantage can be made. The developed doctor coaching model is most meaningful in a way that it has first adapted a coaching mechanism to improve patient-doctor communication. Also in cases where such will be utilized in the future medical service sector, it is expected to affect greatly the doctor's communication skill and patient sympathizing skills. Hereby it will contribute in increasing the patient's treatment satisfaction.

• Journal of Oriental Neuropsychiatry
• /
• v.24 no.1
• /
• pp.131-144
• /
• 2013

Objectives : To provide information on the safety of ACM, we carried out a single oral dose-increasing toxicity and 4-weeks repeated oral dose determining test of ACM in beagle dogs. Methods : In a single oral dose-increasing toxicity test, beagles were treated with ACM orally increasing dose level (1,000, 2,000, 5,000 mg/㎏) at interval of 3 days. After administration, signs of toxicity were observed for two weeks. In 4-weeks repeated oral dose determinating test, beagles were treated with ACM with oral dose 500, 1,000, 2,000 mg/kg for 4 weeks. Mortality, clinical signs, body weight changes, food consumption, urinalysis, hematological and biochemical parameters, organ weights, necropsy findings, and histological findings were monitored during the study period. Results : In a single oral dose-increasing toxicity test, we found no mortality, abnormalities in clinical signs, body weight, and necropsy findings during the study period. In 4-weeks repeated oral dose determinating test, we found no mortality, abnormalities in clinical signs, body weight, food consumption, urinalysis, hematological and biological parameters, gross findings, organ weights, necropsy findings, and histopathological findings in any of the beagles tested. Conclusions : The results obtained in these studies suggest that maximum tolerated dose (MTD) of ACM in male and female beagle dogs was supposed to be over 5,000 mg/kg. For the future studies of toxicity, it is advisable that high dose and low dose are set at 2000 mg/kg and 500 mg/kg, respectively.

• Elastomers and Composites
• /
• v.56 no.4
• /
• pp.209-216
• /
• 2021

In this study, we observed the mechanical properties, thermal stability, and low temperature sealing performance of fluorosilicone elastic composites. When the blend ratio of Phenyl vinyl methyl silicone (PVMQ) was increased, the tensile strength, modulus at 100%, and compression set were decreased. The thermal stability of fluorosilicone elastic composites showed a similar tendency. These were caused by poorer green strength of PVMQ than Fluorosilicone rubber (FVMQ). The change in the tensile strength and elongation at -40℃ showed a decreasing tendency with increasing PVMQ blend ratio. By increasing the PVMQ blend ratio, low-temperature performance was improved. The Dynamic mechanical analysis (DMA) results showed that T_g was decreased and low-temperature performance was improved with increasing PVMQ blend ratio. However tanδ was decreased becaused of the poor green strength and elasticity of PVMQ. From a hysteresis loss at -40℃, the hysteresis loss value was increased and fluorosilicone elastic composites showed the decreasing tendency of elasticity with increasing PVMQ blend ratio. From the TR test, TR10 was decreased with increasing PVMQ blend ratio. FS-4 (45% PVMQ blended composites) showed a TR10 of -68.0℃ that was 5℃ lower than that of FS-1 (100% FVMQ). The gas leakage temperature was decreased with increasing PVMQ blend ratio. The gas leakage temperature of FS-4 was -69.2℃ that was 5℃ lower than that of FS-1. Caused by the polymer chain started to transfer from a glassy state to a rubbery state and had a mobility of chain under T_g, the gas leakage temperature showed a lower value than T_g. The sealing performance at low temperature was dominated by T_g that directly affected the mobility of the polymer chain.

• International journal of advanced smart convergence
• /
• v.8 no.4
• /
• pp.75-81
• /
• 2019

Though recent advancement of deep learning methods have provided satisfactory results from large data domain, somehow yield poor performance on few-shot classification tasks. In order to train a model with strong performance, i.e. deep convolutional neural network, it depends heavily on huge dataset and the labeled classes of the dataset can be extremely humongous. The cost of human annotation and scarcity of the data among the classes have drastically limited the capability of current image classification model. On the contrary, humans are excellent in terms of learning or recognizing new unseen classes with merely small set of labeled examples. Few-shot learning aims to train a classification model with limited labeled samples to recognize new classes that have neverseen during training process. In this paper, we increase the backbone depth of the embedding network in orderto learn the variation between the intra-class. By increasing the network depth of the embedding module, we are able to achieve competitive performance due to the minimized intra-class variation.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.56 no.7
• /
• pp.1324-1330
• /
• 2007

In this paper, we propose pattern recognition algorithm for activities of daily living by adopting extreme learning machine based on single layer feedforward networks(SLFNs) to the signal from bidirectional accelerometer. For activity classification, 20 persons are participated and we acquire 6, types of signals at standing, walking, running, sitting, lying, and falling. Then, we design input vector using reduced model for ELM input. In ELM classification results, we can find accuracy change by increasing the number of hidden neurons. As a result, we find the accuracy is increased by increasing the number of hidden neuron. ELM is able to classify more than 80 % accuracy for experimental data set when the number of hidden is more than 20.

• International Journal of Safety
• /
• v.2 no.1
• /
• pp.7-11
• /
• 2003

Structure of the counterflow nonpremixed flames were investigated by using Fire Dynamics Simulator(FDS) and OPPDIF to evaluate FDS for simulations of the diffusion flame. FDS, employed a mixture fraction formulation, were applied to the diluted axisymmetric methane-air nonpremixed counterflow flames. Fuel concentration in the mixture of methane and nitrogen was considered as a numerical parameter in the range from 20% to 100% increasing by 10% by volume at the global strain rates of $a_g = 20S^{-l} and 80S^{-1}$ respectively. In all the computations, the gravity was set to zero since OPPDIF is not able to compute the buoyancy effects. It was shown by the axisymmetric simulation of the flames with FDS that increasing fuel concentration increases the flame thickness and decreases the flame radius. The centerline temperature and axial velocity, and the peek flame temperature showed good agreement between the both methods.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.16 no.2
• /
• pp.118-127
• /
• 1991

In this paper, criteria and algorithms for the optimal service rate in a closed queueing network have been established. The objective is to minimize total cost. It is shown that system throughput is increasing concave over the service rate of a node and cycle time is increasing convex over the set of service times with a single calss of cubsomers. This enables developing an algorithm using a steepest descent method when the cost function for service rate is convex. The efficiency of the algorithm rests on the fact that the steepest descent direction is readily obtained at each iteration from the MVA algorithm. Several numerical examples are presented. The major application of this research is optimization of facility capacity in a manufacturing system.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2007.05a
• /
• pp.1167-1170
• /
• 2007

This paper introduces a data storage transport protocol internet Advanced Technology Attachment (iATA) for ATA storage devices that can be accessed over (TCP/IP) networks. As the access speed of Advanced Technology Attachment (ATA) type storage is increasing, the importance of sharing the ATA type storages over internet is also increasing. We are proposing a protocol in which we have implemented the basic ATA command set to access the ATA type remote storage devices over the TCP/IP networks.In this paper, we give basic details of the protocol and discuss the existing storage protocols which are mainly used for accessing block storage like internet Small Computer System Interface (iSCSI) Hyper Small Computer System Interface (HyperSCSI) and ATA over Ethernet (AoE).

• Journal of the Korean Ceramic Society
• /
• v.44 no.8
• /
• pp.412-418
• /
• 2007

The atomic scale details of the melting of solid argon were monitored with the aid of molecular dynamics simulations. The potential energy distribution is substantially disturbed by an increase in the interatomic distance and the random of set distance from the lattice points, with increasing temperature. The potential energy barriers between the lattice points decrease in magnitude with the temperature. Eventually, at the melting point, these barriers can be overcome by atoms that are excited with the entropy gain acquired when the atoms obtain rotational freedom in their atomic motion, and the rotational freedom leads to the collapse of the crystal structure. Furthermore, it was found that the surface of crystals plays an important role in the melting process: the surface eliminates the barrier for the nucleation of the liquid phase and facilitates the melting process. Moreover, the atomic structure of the surface varies with increasing temperature, first via surface roughening and then, before the bulk melts, via surface melting.