• KIPS Transactions on Software and Data Engineering
• /
• v.2 no.10
• /
• pp.713-722
• /
• 2013

This paper proposes a method of using depth information to detect the hand region in real-time based on the cascade method. In order to ensure stable and speedy detection of the hand region even under conditions of lighting changes in the test environment, this study uses only features based on depth information, and proposes a method of detecting the hand region by means of a classifier that uses boosting and cascading methods. First, in order to extract features using only depth information, we calculate the difference between the depth value at the center of the input image and the average of depth value within the segmented block, and to ensure that hand regions of all sizes will be detected, we use the central depth value and the second order linear model to predict the size of the hand region. The cascade method is applied to implement training and recognition by extracting features from the hand region. The classifier proposed in this paper maintains accuracy and enhances speed by composing each stage into a single weak classifier and obtaining the threshold value that satisfies the detection rate while exhibiting the lowest error rate to perform over-fitting training. The trained classifier is used to classify the hand region, and detects the final hand region in the final merger stage. Lastly, to verify performance, we perform quantitative and qualitative comparative analyses with various conventional AdaBoost algorithms to confirm the efficiency of the hand region detection algorithm proposed in this paper.

• The Korean Journal of Air & Space Law and Policy
• /
• v.28 no.2
• /
• pp.63-96
• /
• 2013

Recently, U.S. Department of Transportation (DOT) expanded the "Enhancing Airline Passenger Protections" on August 23, 2011 and October 24, 2011. The Rule regulates tarmac delays, denied boarding compensation, customer service plans, and fare advertising. The adopted rule is to protect passengers by improving passenger service requirements on U.S. national or domestic carriers and foreign air carriers as well. The major issues are as follows: First, regarding to so called Tarmac Delay, carriers must establish a Tarmac Delay Contingency Plan setting forth the number of hours the carrier will permit an aircraft to remain on the tarmac at U.S. airports before allowing passengers to deplane. Carriers also must provide passengers with food and water in the event the aircraft remains on the tarmac for two or more hours and must provide operable lavatories and medical attention while the aircraft remains on the tarmac, irrespective of the length of the delay. Carriers also must create and retain records regarding tarmac delays lasting more than three hours. Also they need to update passengers every 30 minutes during a tarmac delay of the status of the flight and the reason for the delay, allow passengers to deplane if the aircraft is at the gate or another disembarkation area with the door open. Second, carriers now must adopt a "Customer Service Plan" that addresses offering customers the lowest fares available, notifying customers about delays, cancellations, and diversions; timely delivery of baggage; accommodating passengers' needs during tarmac delays and in "bumping cases"; and ensuring quality customer service. Third, the new regulations also increase minimum denied boarding compensation limits to $650 / $1,300 or 200% / 400% of the fare, whichever is less. Last, the DOT also has modified its policies related to enforcement of Rules pertaining to full fare advertising. The Rule states that the advertised price for air transportation must be the entire price to be paid by the customer. Similarly, Korea revised the passenger protection clauses within Aviation Act. However, it seems to be required to include various more issues such as Tarmac Delay, oversales of air tickets, involuntary denied boarding passengers, advertisements, etc.

• Journal of the Korean Society of Food Science and Nutrition
• /
• v.31 no.6
• /
• pp.1084-1091
• /
• 2002

Mortierella alpina, a common soil fungus, is the most efficient organism for production of production acid presently known. Since arachidonic acid are important in human brain and retina development, it was undertaken the growing effect containing diet as a food ingredient. Arachidonic acid rich oil derived from Mortierella alpina, was subjected to a program of studies to establish for use in diet supplement. This study was compared the growth and learning effect of fungal oil rich in arachidonic acid by incorporated into diets ad libitum. Sprague-Dawley rats received experimental diets 5 groups (standard AIN 93 based control with beef tallow, extract oil 8%, and 4%, and Mortierella alpina in diet 10% and 20%) over all experiment duration (pre-mating, mating, gestation, lactation, and after weaning 4 weeks). Pups born during this period consumed same diets after wean for 4 weeks. There was no statistical significance of diet effects in reproductive performance and fertility from birth to weaning. But the groups of Mortierella alpine diet were lower of weight gain and diet intake after weaning. The serum lipids were significantly different with diet groups, higher TG in LO (oil 4%) group of dams, and higher total cholesterol in LF (M. alpina 10%) of pups, although serum albumin content was not significantly different in diet group. The spent-time and memory effect within 4 weeks of T-Morris water maze pass test in dam and 7-week- age pups did not differ in diet groups. On the count of backing error in weaning period of pups was lower in HO(extracted oil 8%) group. In the group of 10% and 20% Mortierella alpina diet, DNA content was lower in brain with lower body weight, but liver DNA relative to body weight was higher than control. Further correlation analyses would be needed DNA and arachidonic acid intakes, with Mortierella alpina diet digestion rate.

• Korean Journal of Heritage: History & Science
• /
• v.55 no.4
• /
• pp.56-70
• /
• 2022

Tombs No. 39 and No. 63 in Gyo-dong, Changnyeong, are unique in the Changnyeong area in that they do not have additional burials because they are hoenggu-style tombs with an entrance on the north side. This study tried to understand the nature and meaning of the two separate stone walls at the entrance of the tomb along with the burial process of the tomb. These two stone walls mark small tombs built independently within a large tomb, with stone wall No. 39 stone wall No. 3 (No.39-3) and No. 63 stone wall No. 3 (No. 63-3). Both units are located in the middle of the northern wall of the burial body part and share one wall with the burial body part wall stone. All animal fluids inside the stone wall were identified. In particular, it was estimated that at least three dogs were buried as a result of identification of animal fluids No. 63-3. Above all, these animals have their heads facing outward with their backs to the main occupants, and do not overlap in a limited space and are placed side by side. Changnyeong Gyo-dong No. 39-3 and 63-3 were created in the process of building the burial body, and although they are independent relics, they form a subordinate relationship in that they were built along the main burial within one tomb. In addition, it is coercive in that it is placed in an orderly manner according to a certain direction in a state that has not been dismantled after killing an animal. Therefore, It is understood to be the SHUNJANG of dogs. Studies on animal fluids excavated from tombs in the Three Kingdoms period are interpreted as animal stewardship, sacrificial collection, and animal sacrifice depending on their location, and this is known as a series of animal sacrifice rites, namely, animal stewardship and sacrifice. This recognition is based on material objectification of animals, such as food or sacrifices. However, Changnyeong Gyo-dong No. 39-3 and 63-3 are different in that they recognize animals as spiritual beings in the process of funeral rites and are closely related to the ideology that there is life after death. In addition, analysis of the location and directionality of the remains is also required from multiple angles. These two SHUNJANG correspond to the entrance to the tomb, and the location is the most open space at the entrance. The appearance of a dog looking outward, etc., can also be interpreted as the meaning of protecting the tombs and byeoksa. This appearance can be compared with the dog depicted in a mural in a Goguryeo tomb that reflects the ancient world's thought and stone figures excavated from the tomb of King Muryeong of Baekje, and it is also consistent with the meaning of the JINMYOSU protecting the ancient tombs. This suggests that a multifaceted study on animal fluid burial remains is needed in the future.

• Korean Journal of Animal Reproduction
• /
• v.24 no.1
• /
• pp.1-18
• /
• 2000

Eighty dairy farms in Palmers ton North area in New Zealand were surveyed on 1) general characteristics (10 Questions), 2) milk yield and feed supplementary (7 questions), 3) reproductive efficiencies (12 questions) and 4) reproductive disorders (12 questions) by mail questions from February to July, 1998. Among those 4 items from 38 dairy farms (47.5%), especially in items 1) and 2), overall dairy farming situation, supplementary feeding and milk yields were surveyed and analyzed for Korean dairy farmers (especially in Cheju island) to have better understanding or higher economical gains. The results were as follows. 1. In dairy experience, 21 (45%) among 38 dairy farms surveyed were answered that farming less than 15 years, 15~19 year, 20~25 years and over 26 years experience were 3 (7.9%), 7 (18.4%), 6 (15.8%) and 5 (13.2%) which generally showed longer experience compare to Korean dairy farming situation. In survey of labour input and business goal of dairy farming, self-managing farms, sharemilkers, unpaid family manpowering farms, manager running farms, farms with hired worker, farms with part time helper and other type was 21 (55.3%), 10 (26.3%), 2 (3.5%), 3 (5.3%), 18 (31.6%), 2 (3.5%), and 1 (1.8%), respectively. 2. Analyzing pasture and tillable land, pasture according to feeding scale (200, 300 and 400 heads) were 56, 90 and 165.3 ha, and tillable lands were 51, 78 and 165 ha which showed some differences among feeding scale. In recording methods in 38 farms replied, 36 (95%) dairy handbook and 23 (70%) dual methods taking farms were higher than that of 10 (26.3%) computer and 15(39.5%) well-recorder methods. 3. Dairy waste processing facilities in environmental field were almost perfect except of metropolitan area, and so no problem was developed in its control so far. Hence, 26 farm (68.4%) of pond system was higher rather than those in 8 (21.2%) of using as organic manure after storing feces of dairy cattle, 1(2.6%) bunker system and 3 (7.9%) other type farms. 4. In milking facilities, 33 farms (86.9%) of Harringbone types were higher than those in 3 (7.9%) of Walkthrough types, 1 (2.6%) of Rotary system and other types. Although the construction facilities was not enough, this system show the world-leveled dairy country to attempted to elevate economic gains using the advantage of climatic condition. 5. In milking day and yearly yield per head, average 275 milking days and 87 drying days were longer than that of 228 average milking days in New Zealand. Annual total milk yield per head and milk solid (ms) was 3,990 kg and approximately 319 kg. Dairy milk solid (ms) per head, milk yield, fat percentage was 1.2 kg, 15.5 kg and average 4.83% which was much higher than in other country, and milk protein was average 3.75%. 6. In coclusion, Palmerstone North has been a center of dairy farming in New Zealand for the last 21 years. Their dairy farming history is 6~9 year longer than ours and the average number of milking cows per farm is 355, which is much greater than that (35) of Korea. They do not have dairy barn, but only milking parlors. Cows are taken care of by family 0.5 persons), are on a planned calving schedule in spring (93%) and milked for 240~280 days a year, avoiding winter. Cows are dried according to milk yield and body condition score. This management system is quite different from that of Korean dairy farms. Cows are not fed concentrates, relying entirely on pasture forages and the average milk yield per cow is 3,500 kg, which is about 1/2 milk yield of Korean dairy farms. They were bred to produce high fat milk with an average of 4.5%. Their milk production cost is the lowest in the world and the country's economy relies heavily on milk production. We Korean farmers may try to increase farming size, decreasing labor and management costs.

• Journal of Intelligence and Information Systems
• /
• v.18 no.3
• /
• pp.185-202
• /
• 2012

.Since the value of information has been realized in the information society, the usage and collection of information has become important. A facial expression that contains thousands of information as an artistic painting can be described in thousands of words. Followed by the idea, there has recently been a number of attempts to provide customers and companies with an intelligent service, which enables the perception of human emotions through one's facial expressions. For example, MIT Media Lab, the leading organization in this research area, has developed the human emotion prediction model, and has applied their studies to the commercial business. In the academic area, a number of the conventional methods such as Multiple Regression Analysis (MRA) or Artificial Neural Networks (ANN) have been applied to predict human emotion in prior studies. However, MRA is generally criticized because of its low prediction accuracy. This is inevitable since MRA can only explain the linear relationship between the dependent variables and the independent variable. To mitigate the limitations of MRA, some studies like Jung and Kim (2012) have used ANN as the alternative, and they reported that ANN generated more accurate prediction than the statistical methods like MRA. However, it has also been criticized due to over fitting and the difficulty of the network design (e.g. setting the number of the layers and the number of the nodes in the hidden layers). Under this background, we propose a novel model using Support Vector Regression (SVR) in order to increase the prediction accuracy. SVR is an extensive version of Support Vector Machine (SVM) designated to solve the regression problems. The model produced by SVR only depends on a subset of the training data, because the cost function for building the model ignores any training data that is close (within a threshold ${\varepsilon}$) to the model prediction. Using SVR, we tried to build a model that can measure the level of arousal and valence from the facial features. To validate the usefulness of the proposed model, we collected the data of facial reactions when providing appropriate visual stimulating contents, and extracted the features from the data. Next, the steps of the preprocessing were taken to choose statistically significant variables. In total, 297 cases were used for the experiment. As the comparative models, we also applied MRA and ANN to the same data set. For SVR, we adopted '${\varepsilon}$-insensitive loss function', and 'grid search' technique to find the optimal values of the parameters like C, d, ${\sigma}^2$, and ${\varepsilon}$. In the case of ANN, we adopted a standard three-layer backpropagation network, which has a single hidden layer. The learning rate and momentum rate of ANN were set to 10%, and we used sigmoid function as the transfer function of hidden and output nodes. We performed the experiments repeatedly by varying the number of nodes in the hidden layer to n/2, n, 3n/2, and 2n, where n is the number of the input variables. The stopping condition for ANN was set to 50,000 learning events. And, we used MAE (Mean Absolute Error) as the measure for performance comparison. From the experiment, we found that SVR achieved the highest prediction accuracy for the hold-out data set compared to MRA and ANN. Regardless of the target variables (the level of arousal, or the level of positive / negative valence), SVR showed the best performance for the hold-out data set. ANN also outperformed MRA, however, it showed the considerably lower prediction accuracy than SVR for both target variables. The findings of our research are expected to be useful to the researchers or practitioners who are willing to build the models for recognizing human emotions.