• Title/Summary/Keyword: 동력 예측

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Characteristics of Membrane Permeability on the Separation of Solid in a Liquid Livestock Manure (축분액비의 고액분리에 있어서 분리막의 투과특성)

  • 황명구;차기철;이명규
    • Journal of Animal Environmental Science
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    • v.6 no.3
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    • pp.175-184
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    • 2000
  • A lab-scale MF membrane reactor was installed to investigate the membrane permeability, characteristics of membrane fouling at each conditions, and quality of permeate (liquid livestock manure) in the separation of solid-matters using membrane. Experiment was divided three filtration type such as follows; continuous filtration, gravity filtration, and intermittent filtration. As a result of experiment, flux 1 LMH was maintained for 7days, and trans-membrane pressure(TMP) was increased gradually under 10cmHg, but it was increased immediately after 10cmHg, respectively. However, the flux was increased, the Tmax was decreased exponential more and more. During the pure-flux test, most of the fouling of membrane was reversible. At the gravity filtration, permeate could be obtained as 1.75 LMH for 3.5days without any other electronic pressure. As an investigation of membrane surface, this study could be decided that the reason of fouling at the lower flux (Run 1 and 2) was attached matters in membrane surface, but at the higher flux (Run 4-6) was concentration polarization.

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Incidence of Rice stripe virus during 2002 to 2004 in Korea and Chemical Control of Small Brown Plant Hopper (2002-2004년의 벼줄무늬잎마름병 발생상황 및 약제처리에 의한 애멸구의 화학적 방제)

  • Park, Jin-Woo;Jin, Tae-Seong;Choi, Hong-Soo;Lee, Su-Heon;Shin, Dong-Bum;Oh, In-Seok;Lee, Sang-Guei;Lee, Min-Ho;Choi, Byeong-Ryeol;Bae, Soon-Do;Kim, Jin-Young;Han, Kwang-Seop;Noh, Tae-Hwan;Ko, Sug-Ju;Park, Jong-Dae;Lee, Bong-Choon;Kim, Tae-Sung;Chung, Bu-Keun;Hong, Sung-Jun;Kim, Choong-Hoe;Park, Hyung-Man;Lee, Key-Woon
    • The Korean Journal of Pesticide Science
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    • v.13 no.4
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    • pp.309-314
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    • 2009
  • Incidence of rice stripe disease, caused by Rice stripe tenuivirus (RSV), was surveyed during 2002 to 2004. The incidence area and ratio of diseased fields were decreased gradually during those period. Rate of diseased plants were 45.8%, 45.0% and 43.7% in the susceptible cultivars Chucheong, Saechucheong and Ilpum, respectively. However, the rate was 4.4% in resistant cultivar Hwaseong. In addition, breakdown rate was also significantly high in the susceptible cultivars in Chucheong, Saechucheong and Ilpum showing 33.6, 33.2 and 31.9%, respectively. In Hwaseong, the breakdown rate was 0.8%. Collection efficiency was compared between two insect vector collection methods. Insect-sucking machine method was much more efficient than sweeping net method in collecting small brown plant hopper (SBPH). According to the survey of the population density of the insect vector during 2002 to 2004, the national average population density was gradually decreased year by year, 3.6, 2.3, and 1.3%, respectively. This result was significantly related with the decrease of the incidence of rice stripe disease. Control efficiency of rice stripe disease by treating several seedling box and water surface with insecticides against SBPH resulted that imidacloprid GR, Fipronil FG, Clothianidin+Probenazole GR and Thiamethoxam GR showed over 80% of control efficiency at 28 days after treatment at the early stage in nursery.

A Study on the Marine Design Base of Marine Leisure Facilities in Southeast Area of Korea - Focusing on the investigation of marine leisure facilities - (동남권 해양레저시설의 해양디자인기반에 관한 연구 - 해양레저시설 조사 중심으로 -)

  • Park, Kwang-Cheol
    • Management & Information Systems Review
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    • v.33 no.5
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    • pp.185-212
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    • 2014
  • This study investigated the base of marine leisure facilities and studied the future vision for development of marine industry by conducting a systematic analysis on the category of marine leisure products for development of design and specialization of southeast area of Korea. If the age of $20,000 of per capita national income is called 'the age of my car', $20,000 of per capita national income is called 'the age of my boat'. According to the report of UK-based Marine South East, the scale of world's small boat and personal waterborne equipment reached 277 trillion won in 2010 and domestic market scale is expected to be 11 trillion won. Marine leisure facilities are the new growth engine industry that the government should promote as a nation's strategic and core industry, and the government is pushing ahead with promotion of marine industry actively by announcing Marine Leisure Equipment Industry Activation Plan(June 2009, Ministry of Knowledge Economy), Marine Leisure Activation Plan(July 2010, Ministry of Land, Infrastructure and Transport), The 1st General Plan for Marina Port(January 2010, Ministry of Land, Infrastructure and Transport) etc. The purpose of marine design lies in seeking the status of the country and qualitative value in human life through functional, artistic, industrial and cultural development of design elements for all marine activities made around the sea. Related to all activities made in the ocean and cost, marine design is a sphere of design that includes special conditions centering around water. Considering the condition that 3 sides of land are facing the sea, this study systematically analyzed present condition of equipment possessed by each area, type of facilities, operational status, current status of sectoral use of marine leisure facilities and future prospect of marine leisure products that become the basis of value to raise the statue as an advanced marine power in 2010s through development of the qualitative level of the people, establishment of the direction of national strategy, convergence of industry and culture and specialization of area focusing on the actual condition survey of marine leisure facilities. Especially, this study will be predicting the basis of strategy for strengthening marketability and competitiveness by suggesting role and process of design in developing a promising marine leisure product through an actual condition survey of marine leisure products of southeast area.

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Analysis of Slope Stability Considering the Saturation Depth Ratio by Rainfall Infiltration in Unsaturated Soil (불포화토 내 강우침투에 따른 포화깊이비를 고려한 사면안정해석)

  • Chae, Byung-Gon;Park, Kyu-Bo;Park, Hyuck-Jin;Choi, Jung-Hae;Kim, Man-Il
    • The Journal of Engineering Geology
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    • v.22 no.3
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    • pp.343-351
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    • 2012
  • This study proposes a modified equation to calculate the factor of safety for an infinite slope considering the saturation depth ratio as a new variable calculated from rainfall infiltration into unsaturated soil. For the proposed equation, this study introduces the concepts of the saturation depth ratio and subsurface flow depth. Analysis of the factor of safety for an infinite slope is conducted by the sequential calculation of the effective upslope contributing area, subsurface flow depth, and the saturation depth ratio based on quasi-dynamic wetness index theory. The calculation process makes it possible to understand changes in the factor of safety and the infiltration behavior of individual rainfall events. This study analyzes stability changes in an infinite slope, considering the saturation depth ratio of soil, based on the proposed equation and the results of soil column tests performed by Park et al. (2011 a). The analysis results show that changes in the factor of safety are dependent on the saturation depth ratio, which reflects the rainfall infiltration into unsaturated weathered gneiss soil. Under continuous rainfall with intensities of 20 and 50 mm/h, the time taken for the factor of safety to decrease to less than 1.3 was 2.86-5.38 hours and 1.34-2.92 hours, respectively; in the case of repeated rainfall events, the time taken was between 3.27 and 5.61 hours. The results demonstrate that it is possible to understand changes in the factor of safety for an infinite slope dependent on the saturation depth ratio.

A Therapeutic Effect of Ozonated Oil on Bovine Mastitis (젖소 유방염에 대한 Ozonated oil의 치료효과)

  • Jo Sung-Nam;Liu Jianzhu;Lee Sang-Eun;Hong Min-Sung;Kim Duck-Hwan;Kim Myung-Cheol;Cho Sung-Whan;Jun Moo-Hyung
    • Journal of Veterinary Clinics
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    • v.22 no.4
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    • pp.318-321
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    • 2005
  • Forty- nine quarters from 24 lactating cows with chronic mastitis were selected. The cows were raised on dairy farms in Gongju, Jochiwon and Yeongi in Chungnam province, and Iksan in Jeonbuk province, Korea. The 49 quarters with bovine mastitis were divided into control (7 quarters) and experimental (42 quarters) groups. The experimental quarters were assigned to experimental group A (10 quarters, somatic cell count: $50-100\times10^4/ml)$, experimental group B (14 quarters, somatic cells count: $100-300{\times}10^4/ml)$, and experimental group C (18 quarters, somatic cells count: $>300\times10^4/ml$), according to the number of the somatic cells in their milk. The quarters of control group were treated with norfloxacin ointment (10 g/tube) based on the result of sensitivity, twice a day for 3 days. The quarters or experimental groups were infused 10ml or ozonated oils twice a day for 3 days. After treatment, the milk of the control group contained non-significantly lower numbers of somatic cells and bacteria on day 7, compared with pretreatment levels. Experimental groups A, B and C had lower somatic and bacterial cells in their milk on day 7, compared with pretreatment levels. Experimental group B and C had significantly lower numbers of somatic cells in their milk ell day 7 than before treatment (p<0.01). However, no significant difference in somatic cell numbers was detected between the control alld experimental groups. It was concluded that ozone therapy with ozonated oil applied on bovine mastitis might be effective.

A Study on the Impact of Artificial Intelligence on Decision Making : Focusing on Human-AI Collaboration and Decision-Maker's Personality Trait (인공지능이 의사결정에 미치는 영향에 관한 연구 : 인간과 인공지능의 협업 및 의사결정자의 성격 특성을 중심으로)

  • Lee, JeongSeon;Suh, Bomil;Kwon, YoungOk
    • Journal of Intelligence and Information Systems
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    • v.27 no.3
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    • pp.231-252
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    • 2021
  • Artificial intelligence (AI) is a key technology that will change the future the most. It affects the industry as a whole and daily life in various ways. As data availability increases, artificial intelligence finds an optimal solution and infers/predicts through self-learning. Research and investment related to automation that discovers and solves problems on its own are ongoing continuously. Automation of artificial intelligence has benefits such as cost reduction, minimization of human intervention and the difference of human capability. However, there are side effects, such as limiting the artificial intelligence's autonomy and erroneous results due to algorithmic bias. In the labor market, it raises the fear of job replacement. Prior studies on the utilization of artificial intelligence have shown that individuals do not necessarily use the information (or advice) it provides. Algorithm error is more sensitive than human error; so, people avoid algorithms after seeing errors, which is called "algorithm aversion." Recently, artificial intelligence has begun to be understood from the perspective of the augmentation of human intelligence. We have started to be interested in Human-AI collaboration rather than AI alone without human. A study of 1500 companies in various industries found that human-AI collaboration outperformed AI alone. In the medicine area, pathologist-deep learning collaboration dropped the pathologist cancer diagnosis error rate by 85%. Leading AI companies, such as IBM and Microsoft, are starting to adopt the direction of AI as augmented intelligence. Human-AI collaboration is emphasized in the decision-making process, because artificial intelligence is superior in analysis ability based on information. Intuition is a unique human capability so that human-AI collaboration can make optimal decisions. In an environment where change is getting faster and uncertainty increases, the need for artificial intelligence in decision-making will increase. In addition, active discussions are expected on approaches that utilize artificial intelligence for rational decision-making. This study investigates the impact of artificial intelligence on decision-making focuses on human-AI collaboration and the interaction between the decision maker personal traits and advisor type. The advisors were classified into three types: human, artificial intelligence, and human-AI collaboration. We investigated perceived usefulness of advice and the utilization of advice in decision making and whether the decision-maker's personal traits are influencing factors. Three hundred and eleven adult male and female experimenters conducted a task that predicts the age of faces in photos and the results showed that the advisor type does not directly affect the utilization of advice. The decision-maker utilizes it only when they believed advice can improve prediction performance. In the case of human-AI collaboration, decision-makers higher evaluated the perceived usefulness of advice, regardless of the decision maker's personal traits and the advice was more actively utilized. If the type of advisor was artificial intelligence alone, decision-makers who scored high in conscientiousness, high in extroversion, or low in neuroticism, high evaluated the perceived usefulness of the advice so they utilized advice actively. This study has academic significance in that it focuses on human-AI collaboration that the recent growing interest in artificial intelligence roles. It has expanded the relevant research area by considering the role of artificial intelligence as an advisor of decision-making and judgment research, and in aspects of practical significance, suggested views that companies should consider in order to enhance AI capability. To improve the effectiveness of AI-based systems, companies not only must introduce high-performance systems, but also need employees who properly understand digital information presented by AI, and can add non-digital information to make decisions. Moreover, to increase utilization in AI-based systems, task-oriented competencies, such as analytical skills and information technology capabilities, are important. in addition, it is expected that greater performance will be achieved if employee's personal traits are considered.