• Transactions on Control, Automation and Systems Engineering
• /
• v.3 no.4
• /
• pp.223-228
• /
• 2001

We have been developed an intelligent mobile robot with an artificial olfactory function to recognize odours and to track odour source location. This mobile robot also has ben installed an engine for speech recognition and synthesis and is controlled by wireless communication. An artificial olfactory system based on array of 7 gas sensors has been installed in the mobile robot for odour recognition, and 11 gas sensors also are located in the obttom of robot to track odour sources. 3 optical sensors are also in cluded in the intelligent mobile robot, which is driven by 2 D. C. motors, for clash avoidance in a way of direction toward an odour source. Throughout the experimental trails, it is confirmed that the intelligent mobile robot is capable of not only the odour recognition using artificial neural network algorithm, but also the tracking odour source using the step-by-step approach method. The preliminary results are promising that intelligent mobile robot, which has been developed, is applicable to service robot system for environmental monitoring, localization of odour source, odour tracking of hazardous areas etc.

• Journal of Animal Environmental Science
• /
• v.14 no.2
• /
• pp.91-96
• /
• 2008

The odours from spreading the slurry, manure storage tanks, and the stall are a source of annoyance for the neighbors and sometimes even become a case for civil appeal. Reducing the odourant and ammonia emission is an urgent need to be addressed. It is known that brown coal and oak charcoal have an ability to absorb odour. We designed an experiment set in lab scale and used the brown coal and oak charcoal as additives in the test to reduce odour. The test are divided into two categories; namely aeration and no-aeration. The additives were added to the each sample at a concentration of 5% and 10% of total base solids, besides the control samples. We carried out the Phenate Method for ammonia analyzing. In the non-aerated case, the results showed a reducing efficiency of 23.7% and 26.4% with an addition rate of 5% and 10% of additives, respectively. In the aerated test, the reducing efficiency of ammonia was 17.8% and 21.0% with an addition rate of 5% and 10% of additives, respectively. In case of oak charcoal, non-aeration showed removal efficiencies of ammonia at 15.9% and 16.1% with addition rates of 5% and 10%, respectively, With aeration, they were 11.4% and 26.4% with addition rates of 5% and 10% oak charcoal, respectively. The tests show that brown coal and oak charcoal have a reducing effect on ammonia emissions.

• Journal of Animal Environmental Science
• /
• v.8 no.1
• /
• pp.17-24
• /
• 2002

This study was carried out to isolate and identify the yeasts from the the composts, which were effective to reduce odor of the pig feces, and to investigate their physiological properties. In yeasts, one of 30 isolates was obtained on 10% pig feces extract medium. Judging from the morphological and biochemical characteristics, the CY-10 isolated from the compost were identified as Candida rugosa. This isolated strain showed the deodorizing activity by reducing the concentration of $NH_3$ and R-$NH_2$ than that of the control. The CY-10 had completely utilizing butyric acid and iso-butyric acid including 10% pig slurry of the volatile fatty acids, which are the specific malodorous agents of pig feces. Compared to control, this yeast was found effective for decrease in $NH_4$-N, Soluble-N and BOD, 20%, 12.6%, and 9.82% respectively.

• Journal of Korean Society of Rural Planning
• /
• v.14 no.1
• /
• pp.59-71
• /
• 2008

The landscape commonly refers to the appearance of the land, including its shape, texture, and colours. Among many factors contributing to the landscape, tree and plants factors playa significant role in rural landscape as a colours. Therefore the rural traditional theme village where had been designated under the rural traditional theme village since 2007 in Naegok-ri, Eohang-myeon, Haman-gun has planned to design the tree plant planning for creating a unique rural landscape. The landscape proposal for the new Rural Village in Naegokri, Yeohang-myeon, Haman-gun suggests three main strategies; 1) The riverside area and reservoir area adjoined forest was required to be prepared to offer organization waterside landscape and forest landscape through landscape planting and selecting trees i.e. able to reflect sense of the season that promote high quality values of landscape area in rural. 2) The area adjoined stable was required to strengthen the screen planting and buffer planting with multiple plant layer structure and trees of branches and leaves closeness, shrubs of beauty flowers in order to improve disamenity landscape and odours. 3) The rural traditional theme village adjoined entrance was required to open space such as multipurpose garden, specialized or themed garden which include Landmark factors and prepared to the space with the various theme and visual diversity in order to take charge of function as landmark characteristic in Naegok-ri, Eohang-myeon, Haman-gun, and so on. In conclusion, this winning principal purpose of this study is applied to basic tree plant model for sustainable rural landscape creation in rural areas by selecting beautiful landscape plants and the tree plant planning.

• Journal of Sensor Science and Technology
• /
• v.10 no.6
• /
• pp.310-316
• /
• 2001

We have been designed and constructed an artificial odour recognition system(electronic nose system) using metal oxide type sensor array for recognizing and analyzing various odours. We proposed an unsupervised clustering method based on Euclidean distances in order for human observer to examine easily multi-dimensional data, which has been measured from an array of sensors. This is a combination of Principal Components Analysis(PCA) used as a starting point for Sammom Mapping Method(SMM). No prior assumptions are made of the classes in which odour belong, and the error due to dimensional reduction at the PCA can be minimized without the disadvantages of rotation of clusters when the order of data sets in a data base was changed in the SMM. An artificial odour recognition system with the proposed unsupervised clustering method was applied to assessment of odour differences of Volatile Organic Compounds(VOCs) and Korean whiskies respectively, and demonstrated the best performances throughout the experimental trails.

• Journal of the Korean Society of Fisheries and Ocean Technology
• /
• v.19 no.2
• /
• pp.85-91
• /
• 1983

The behaviour of shrimp in response to the trap was much influenced by the type, size and the dimensions of entrance as well as physiological and ecological conditions. The entry and the escape behaviour of shrimp to the model trap were observed in accordance with netting materials, baits, type and slope of entrance, and gathering response were also investigated on the odour of bait extracts in the aquarium from June to August, 1983. Entering shrimp to the circular entrance was significantly more than to the triangular or the square; however, no differences were found in the entry behacior among netting materials i e., P. A, P. E. and cotton. According as the slope of entrance was increased its angle from 0$^{\circ}$ to 90$^{\circ}$, number of entering shrimp was decreased; however, number of escaping shrimp at 30$^{\circ}$or 60$^{\circ}$ with time was fewer than at 0$^{\circ}$ or 90$^{\circ}$. Gathering responses of shrimp on the odours were more sensitive to the flesh of mackerel or the shrimp than to the pickled anchovy, or the pettitioes, while no differences were found between another bait extracts, i e., the shrimp and the flesh of mackerel, the short-necked clam and the horse mackerel, the flesh and the viscera of mackerel.