• Title/Summary/Keyword: OMN

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Variation of Oxygen Consumption, Operculum Movement Number and Hemoglobin by Water Temperature Change in Rainbow Trout Oncorhynchus mykiss (수온변화에 따른 무지개송어(Oncorhynchus mykiss)의 산소소비, 아가미 호흡수 및 헤모글로빈 변화)

  • So, Sang-Yeong;Hur, Jun Wook;Lee, Jeong-Yeol
    • Korean Journal of Ichthyology
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    • v.20 no.4
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    • pp.239-247
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    • 2008
  • The objective of this investigation was to examine oxygen consumption (OC) and operculum movement number (OMN) of rainbow trout Oncorhynchus mykiss as a function of changes in water temperature (WT). The WT of the rearing facility was increased from $4^{\circ}C$ to $28^{\circ}C$ stepwise at $1^{\circ}C$ day at each WT (5, 10, 15, 17, 20, 23, 26, and $28^{\circ}C$) then OC and OMN were measured. The OC of the fish increased linearly with WT: O=25.0240 WT+17.5400 in the range of $4{\sim}23^{\circ}C$ However, at 26 and $28^{\circ}C$ the OC declined to around the level at $10^{\circ}C$. The OMN also increased linearly with temperature: OMN=4.4847 WT+59.2150 in the range of $4{\sim}23^{\circ}C$ but at 26 and $28^{\circ}C$ the OMN of the fish dropped slightly. The OC and OMN of the fish showed peak at $23^{\circ}C$ with the lowest values at $4^{\circ}C$. In the range of $4{\sim}23^{\circ}C$, the relationship between OC and OMN of the fish was expressed as a linear equation: OC=0.0923 OMN-308.2100. The OC of fish transferred from $15^{\circ}C$ to certain temperatures without acclimation showed a lower OC at 5 and $10^{\circ}C$ but above $15^{\circ}C$ the OC increased/decreased with temperature. The trout died in temperatures above $28^{\circ}C$ even when acclimated step by step with a $1^{\circ}C$ day increase in WT. In this experiment, a negative physiological changs occurred in the experimental fish at $23^{\circ}C$ suggesting that the optimal physiological temperature range of rainbow trout is $10{\sim}20^{\circ}C$.

Effects of Water Temperature Change on the Hematological Responses and Plasma Cortisol Levels in Growing of Red Spotted Grouper, Epinephelus akaara

  • Cho, Hyun Chul;Kim, Ji Eun;Kim, Hyung Bae;Baek, Hea Ja
    • Development and Reproduction
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    • v.19 no.1
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    • pp.19-24
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    • 2015
  • This study was conducted to determine the stress response [ethological (operculum movement number (OMN)), hematological (hematocrit and hemoglobin), biochemical (glucose, cortisol and glutamic oxaloacetic transaminase (GOT))] in red spotted grouper, Epinephelus akaara during exposure of different water temperature in winter season. This species (Total length, $18.56{\pm}0.34cm$) previously maintained in water temperature of $15^{\circ}C$ were transferred to 15, 20 and $25^{\circ}C$. During experimental period (7 days), OMN, hematocrit (Ht), glucose and GOT values were significantly high in $15^{\circ}C$ when compared to 20 and $25^{\circ}C$. Hemoglobin value was also increased at $15^{\circ}C$, but no significant differences. There was no differences in cortisol levels among the temperature groups. No fish mortality was observed during the experimental period. From these results, $15^{\circ}C$ is likely more stressful to red spotted grouper than $20^{\circ}C$ and $25^{\circ}C$. These observations confirm that red spotted grouper adapts better to temperatures between 20 and $25^{\circ}C$ during the winter season.

Mobile robot localization using an active omni-directional range sensor (전방향 능동거리 센서를 이용한 이동로봇의 자기위치 추정)

  • 정인수;조형석
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1597-1600
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    • 1997
  • Most autonomous mobile robots view things only in front of them. As a result they may collide against objects moving from the side or behind. To overcome the problem we have built an Active Omni-directional Range Sensor that can obtain omni-directional depth data by a laser conic plane and a conic mirror. Also we proposed a self-localization algorithm of mobile robot in unknown environment by fusion of Odometer and Active Omn-directional Range Sensor.

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ORMN: A Deep Neural Network Model for Referring Expression Comprehension (ORMN: 참조 표현 이해를 위한 심층 신경망 모델)

  • Shin, Donghyeop;Kim, Incheol
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.2
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    • pp.69-76
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    • 2018
  • Referring expressions are natural language constructions used to identify particular objects within a scene. In this paper, we propose a new deep neural network model for referring expression comprehension. The proposed model finds out the region of the referred object in the given image by making use of the rich information about the referred object itself, the context object, and the relationship with the context object mentioned in the referring expression. In the proposed model, the object matching score and the relationship matching score are combined to compute the fitness score of each candidate region according to the structure of the referring expression sentence. Therefore, the proposed model consists of four different sub-networks: Language Representation Network(LRN), Object Matching Network (OMN), Relationship Matching Network(RMN), and Weighted Composition Network(WCN). We demonstrate that our model achieves state-of-the-art results for comprehension on three referring expression datasets.

Accuracy of intraoral scans of edentulous jaws with different generations of intraoral scanners compared to laboratory scans

  • Kontis, Panagiotis;Guth, Jan-Frederik;Schubert, Oliver;Keul, Christine
    • The Journal of Advanced Prosthodontics
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    • v.13 no.5
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    • pp.316-326
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    • 2021
  • PURPOSE. Purpose of this in vitro study was to determine the accuracy of different intraoral scans versus laboratory scans of impressions and casts for the digitization of an edentulous maxilla. MATERIALS AND METHODS. A PEEK model of an edentulous maxilla, featuring four hemispheres on the alveolar ridges in region 13, 17, 23 and 27, was industrially digitized to obtain a reference dataset (REF). Intraoral scans using Cerec Primescan AC (PRI) and Cerec AC Omnicam (OMN), as well as conventional impressions (scannable polyvinyl siloxane) were carried out (n = 25). Conventional impressions (E5I) and referring plaster casts were scanned with the inEOS X5 (E5M). All datasets were exported in STL and analyzed (Geomagic Qualify). Linear and angular differences were evaluated by virtually constructed measurement points in the centers of the hemispheres (P13, P17, P23, P27) and lines between the points (P17-P13, P17-P23, P17-P27). Kolmogorov-Smirnov test and Shapiro-Wilk test were performed to test for normal distribution, Kruskal-Wallis-H test, and Mann-Whitney-U test to detect significant differences in trueness, followed by 2-sample Kolmogorov-Smirnov test to detect significant differences in precision (P < .008). RESULTS. Group PRI showed the highest trueness in linear and angular parameters (P < .001), while group E5I showed the highest precision (P < .001). CONCLUSION. Intraoral scan data obtained using Primescan showed the highest trueness while the indirect digitization of impressions showed the highest precision. To enhance the workflow, indirect digitization of the impression itself appears to be a reasonable technique, as it combines fast access to the digital workflow with the possibility of functional impression of mucosal areas.

Analysis of Fertilizer Effect to the Main Tree Species with Typical Korean Forest Soil Series (한국(韓國)의 대표적(代表的)인 산림토양통(山林土壤統)에 대(對)한 중요(重要) 조림수종(造林樹種)의 시비효과(施肥効果) 분석(分析)에 관(關)한 연구(硏究) (I))

  • Chung, In Koo;Kim, Chang Ho
    • Journal of Korean Society of Forest Science
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    • v.37 no.1
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    • pp.41-56
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    • 1978
  • This experimentation aims to study on the characterics of tree growth by forestry land soil system and the effect of applied fertilizer by kind of tree for obtaining basic data on application of fertilizer to forestry land and to further investigate the restriction factor of tree growth by soil system for promoting more effective application of fertilizer to forestry area. 1. The characteristics of tree growth by soil system showed that tree growth was worst on erosive soil, bad on red or red and yellow soil and generally good on brown soil. 2. With regard to Black Locust, the restriction factor of its growth appeared the content of $P_2O_5$ in the soil and the less the content of $P_2O_5$ is in the soil, the worse its growth was and its growth was bad on clay soil. 3. The growth of pinus seems closely related with the content of $K_2O$ in the soil and the growth of PH was bad on neutral or alkali soil and good on weak-acid soil. Its growth greatly depended upon the content of OM or FN. 4. As Suwon Poplar is a kind of tree requiring for a special soil, its growth required for fertile soil and the content of O. MN $P_2O_5$ $K_2O$ was proportional to its growth. 5. The growth of Black Locust, pinus and Suwon Poplar was good on the soil containing much sand but bad on the soil containing much clay.

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