• Asian Journal of Turfgrass Science
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• v.11 no.2
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• pp.125-137
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• 1997

Five dictyostelid cellular slime molds were isolated from the littoral grassland ecoystems of the lake Paldangho, safeguard of waterworks, Kyounggi-do, South Korea. They were Poiysphoadylium violceum, Dictyosielium aureo-stipes var. aureo-stipes D crassicaule, D macrocephalum and D gigauteum. P. violaceum was dominant species. It live on the low nutrient and barren soils as the littoral zone destabilized in surface soils, litters and chemicals by inundation an rain precipitation. Key words: Cellular slime mold, Littoral grassland ecosystem.

• Broadcasting and Media Magazine
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• v.25 no.1
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• pp.83-99
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• 2020

본 연구는 '인공지능이 그린 그림은 예술적 가치가 있는가?' '인공지능을 활용한 21세기의 현시대 예술은 무엇인가?' '어떻게 실현되는가?'라는 실천적 질문에서 출발하였다. 4차 산업혁명은 초실감(Hyper-Reality), 초지능(Hyper-Intellect), 초연결(Hyper-connect)로 '초(Hyper)의 시대'를 예고하고 있다. 이 혁명은 현시대 예술가에게 현실과 가상을 분간할 수 없는 혼합현실환경, 예술의 창작활동에 훌륭한 조수로서 역할을 할 수 있는 인공지능, 예술적 경험을 가상과 현실을 넘나들며, 언제 어디서나 즉각적으로 체험할 수 있는 기술을 제공한다. 실천적 질문에 대한 해답을 찾기 위하여 주관기관 홍익대학교, 참여기관 서울미디어대학원대학교, (주)브이알애드가 2018년 5월부터 2019년 12월까지 2년간 진행한 한국콘텐츠진흥원 문화기술 연구개발 지원사업 '인공지능 기반 창작 아틀리에 발굴 및 구축 기술 개발 프로젝트'를 통하여 인공지능 엔진(stNET, vidNET, hdtNET, omniNET)을 개발하였고 예술가와 4번의 전시를 통하여 성능 및 가치를 실증하였다. 인공지능은 그동안의 예술적 장르와는 차별화된 특이점을 가지고 있으며 응용 범위 또한 다양하다. 현시대 예술가에게 새로운 장르 개척의 훌륭한 조수로서 역할이 가능하다는 것이다. 그동안 현대 예술의 조형과 개념 미술에 한정적 메시지를 넘어, 인공지능기반 초 실감, 실 시간, 직관적 인터랙션을 통하여 직접적 예술 경험을 체험할 수 있다는 점에서, 현시대의 예술가에게 초 경험 예술(Hyper-Experience Art)의 시작인 동시에 새로운 장르 개척의 단초가 제공된다.

• Journal of The Korean Society of Grassland and Forage Science
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• v.23 no.3
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• pp.187-192
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• 2003

This study was conducted to investigate dry matter yield and quality of six turf grasses, and thus to apply its result into making mixed species in the mixtures. The six turf grasses were Kentucky bluegrass(Newport), red fescue(Salem), creeping bentgrass(Crenshaw), perennial ryegrass(Palmer Ⅱ), tall fescue(Rebell Jr.) and redtop(Barricuda). This experiment was carried out for 3-years at grassland experimental field of Chungnam National University. The dry matter(DM) yield obtained in tall fescue and redtop was higher than those of the other species(p<0.05). Consideration of crude protein content and dry matter digestibility(DMD), the species of high quality compared to the other species were creeping bentgrass, perennial ryegrass, and Kentucky bluegrass. The crude protein dry matter yield was higher in Kentucky bluegrass and redtop, it was lower in red fescue(p<0.05). On the other hand, digestible dry matter(DDM) yield was higher in tall fescue and redtop, but lower in creeping bentgrass and red fescue(p<0.05). Based on the result mentioned above, therefore, it is suggested that turf grasses such as tall fescue, Kentucky bluegrass and redtop are recommended as species of turf grass which could be used as bottom grasses in mixtures.

• Journal of Korean Philosophical Society
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• v.147
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• pp.117-146
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• 2018

This paper discusses, whether religion is possible even in the age of artificial intelligence, and whether humans alone are the subject of religious faith or ultra intelligent machines with human minds can be also subjects of faith. In order for ultra intelligent machines to be subjects of faith in the same conditions as humans, they must be able to have unique characteristics such as emotion, will, and self-consciousness. With the advent of ultra intelligent machines with the same level of cognitive and emotional abilities as human beings, the religious actions of artificial intelligence will be inevitable. The ultra intelligent machines after 'singularity' will go beyond the subject of religious belief and reign as God who can rule humans, nature and the world. This is also the common view of Morabeck, Kurzweil and Harari. Leonhart also reminds us that technological advances should make us used to the fact that we are now 'gods'. But we fear we may face distopia despite the general affluence of the 'Star Trec' economy. For this reason, even if a man says he has learned the religious truth, one can't help but wonder if it is true. Kant and Bloch are thinkers who critically reflected on our religious ideals and highest concept in different world-view premises. Kant's concept of God as 'idea of pure reason' and 'postulate of practical reason', can seem like a 'god of gap' as Jesse Bering said earlier. Kant recognized the need for religious faith only on a strict basis of moral necessity. The subjects of religious faith should always strive to do the moral good, but such efforts themselves were not enough to reach perfection and so postulated immortality of the soul. But if an ultra intelligent machines that has emerged above a singularity is given a new status in an intellectual explosion, it can reach its morality by blocking evil tendencies and by the infinite evolution of super intelligence. So it will no longer need Kant's 'Postulate for continuous progress towards greater goodness', 'Postulate for divine grace' and 'Postulate for infinite expansion of the kingdom of God on earth.' Artificial intelligence robots would not necessarily consider religious performance in the Kant's meaning, and therefore religion will also have to be abolished. Ernst Bloch transforms Kant's postulate to be Persian dualism. Therefore, in Bloch, even though the ultra intelligent machines is a divine being, one must critically ask whether it is a wicked or a good God. Artificial intelligence experts warn that ultra intellectual machine as Pandora's gift will bring disaster to mankind. In the Kant's Matrix, a ultra intelligent machines, which is the completion of morality and God itself, may fall into a bad god in Bloch's Matrix. Therefore, despite the myth of singularity, we still believe that ultra intelligent machines, whether as God leads us to the completion of one of our only religious beliefs, or as bad god to the collapse of mankind through complete denial of existence.

• Journal of The Korean Society of Grassland and Forage Science
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• v.16 no.1
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• pp.87-92
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• 1996

The quality of silages, made from whole crop barley, rye, spring oat, Italian ryeglass, orchardgrass, alfalfa and grass-legume pasture mixtures, were evaluated under two different conservation techniques in baled silage making (BS) and conventional silages(CS). Crops materials were harvested at the stage of the greatest dry matter accumulation(hard dough for barley, soft dough for rye and oat, late bloom for Italian ryegrass and others pasture species), and baled in a self constructed square baling chamber weighted by 25~30kg in dry matter basis. Each bales were wrapped with 0.05mm thick polyethylen plastic film and stored six months long in stack silos. Barley, rye, oat and Italian ryegrass including of pasture crops produced higher quality silages in the baled silage making, due to better organic acid fermentation and lower nutrient losses during the period of storage than those in the conventional silages. TDN contents of barley silages were 65.3% in BS and 63.7% in CS, NEL value of barley silages was improved hum 6.48MJ(CS) to 6.61MJ/kg(BS) in dry matter basis. Silage quality of rye, oat and pasture crops were also improved markedly in the baled silage utilization.

• Journal of The Korean Society of Grassland and Forage Science
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• v.15 no.2
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• pp.146-150
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• 1995

The yield performance and nutrient quality of barley for pellets making from whole crop material were discussed during 1993-1994. Barley (cv. Olbori) was grown on paddy land after rice cutivation and was harvested at early stage of physiological maturity. A column type of whole crop pellets was produced by 1.5cm diameter and 2.5cm height. Barley war evaluated as a suitable materials for whole crop pellet making. Barley produced higher yield and better qualitative roughage in the utilization of pellet making than in the silage making. Dry matter yields were obtained 12.02 MTha in pellet making and 11.70 MT/ha in silage making. Net energy value of barley pellet were 6.54 MJ in net energy lactation and 635 SV in starch equivalent net energy. Feeding of barley pellet improved milk production of daily cattle Daily milk yields per head were 25.1 liter in silage feeding and 25.9 liter in pellet feeding. Production cost of pellets and silages made from whole crop barley were 169.07 won/kg and 124.15 won/kg dry matter, respectively.

• Journal of The Korean Society of Grassland and Forage Science
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• v.35 no.2
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• pp.125-130
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• 2015

The objective of this study was to investigate the feasibility of using near infrared spectroscopy (NIRS) to discriminate between grass spices. A combination of NIRS and chemometrics was used to discriminate between Italian ryegrass, perennial ryegrass, and tall fescue seeds. A total of 240 samples were used to develop the best discriminant equation, whereby three spectra range (visible, NIR, and full range) were applied within a 680 nm to 2500 nm wavelength. The calibration equation for the discriminant analysis was developed using partial least square (PLS) regression and discrimination equation (DE) analysis. A PLS discriminant analysis model for the three spectra range that was developed with the mathematic pretreatment "1,8,8,1" successfully discriminated between Italian ryegrass, perennial ryegrass, and tall fescue. An external validation indicated that all of the samples were discriminated correctly. The discriminant accuracy was shown as 68%, 78%, and 73% for Italian ryegrass, perennial ryegrass, and tall fescue, respectively, with the NIR full-range spectra. The results demonstrate the usefulness of the NIRS-chemometrics combination as a rapid method for the discrimination of grass species by seed.

• Journal of The Korean Society of Grassland and Forage Science
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• v.40 no.4
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• pp.259-264
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• 2020

The aim of this study was to investigate the feasibility of discrimination 12 different cultivar of sorghum × sudangrass hybrid (Sorghum genus) seed through near infrared spectroscopy (NIRS). The amount of samples for develop to the best discriminant equation was 360. Whole samples were applied different three spectra range (visible, NIR and full range) within 680-2500 nm wavelength and the spectrastar 2500 Near near infrared was used to measure spectra. The calibration equation for discriminant analysis was developed partial least square (PLS) regression and discrimination equation (DE) analysis. The PLS discriminant analysis model for three spectra range developed with mathematic pretreatment 1,8,8,1 successfully discriminated 12 different sorghum genus. External validation indicated that all samples were discriminated correctly. The whole discriminant accuracy shown 82 ~ 100 % in NIR full range spectra. The results demonstrated the usefulness of NIRS combined with chemometrics as a rapid method for discrimination of sorghum × sudangrass hybrid cultivar through seed.

• Journal of The Korean Society of Grassland and Forage Science
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• v.24 no.2
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• pp.145-154
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• 2004

The objective of this experiment was to suggest the optimum cutting height for turf type mixtures{Kentucky bluegrass(Newport) 40％ + tall fescue(Rebell Jr) 20％ + perennial ryegrass (Palmer Ⅱ) 10% + redtop(Barricuda) 10％ + red fescue(Salem) 10% + creeping bentgrass(Crenshaw) IO%}. The fields trials were conducted from 1998 to 2001 at Chungnam National University in order to evaluate the dry matter yield and quality on the cutting heights(3, 4, and 5cm). With increasing the cutting height, the average DM yields of turf type mixtures over 3-year significantly increased, therefore the average total DM yields were obtained 11,158, 12,143 and 13,181㎏/ha at cutting height 3, 4 and 5cm(p<0.05), respectively. The CP content and OMO decreased(p<0.05), whereas the fiber contents slightly increased with increasing the cutting height. The average CPDM and DDM yields were obtained 2,012 and 8,621㎏, 2,097 and 9,461㎏, and 2,298 and 9,951㎏ at cutting height 3, 4, and 5㎝(p<0.05), respectively. The botanical compositions of Kentucky bluegrass and tall fescue were maintained high as 30 ∼ 36％, but that of perennial ryegrass was maintained low as 10-15%. Most of other species were low, but redtop and creeping bentgrass among the other species made up 8∼10％ and 7 ∼ 8% of botanical composition at the last 6th cutting time in 2001, respectively. In general, the level of cutting height of turf type mixtures was not more closely associated with botanical composition. The results of this experiment indicated that a 5㎝ of cutting height of turf type mixtures sown by extensive method would seemed adequate.

• Korean Journal of Soil Science and Fertilizer
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• v.22 no.4
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• pp.301-306
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• 1989

For the agricultural utilization of Korean forest land resources, which constitutes most of country, the distribution of environment and soil physico-chemical properties of establishable grass lands were clarified. The surveyed data were analized for the reasonable utilization and management of establishable grass land. The results were as follows ; 1. About 50.2% of the grass lands to be established were located under the 200m in altitude. The higher the altitude was, the more the organic matter content. 2. Tall type grass species such as Miscanthus purpurascens, Purple eulalia, and Themeda Japonica covered 71.3% of the natural vegetation in the soils of grass land to be established. 3. The extent of sandy and clayey soils which might be limited in the establishment of grassland was only 3.3%, meanwhile majority of the soils were in the favourable condition for grassland that is about 94% have more than 20cm in available soil depth and about 60.5% of the soils have less than 10% of gravels and stones in the soil profiles. 4. The chemical properties of the prearranged grassland soils were worse than the established grasslands, especially in the content of available $P_2O_5$. 5. The amount of fertilizer recommended for meadow were 286kg of nitrogen per hectare, 271kg of phosphorus, 224kg of potassium and 2040kg of calcium per hectare, but for grazing land were 201, 204, 136 and 1920kg/ha respectively.