• Title/Summary/Keyword: PPM model

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Evaluation of Two Kinetic Models on the Inactivation of Major Foodborne Pathogens by Aqueous Chlorine Dioxide Treatment (이산화염소수 처리에 의한 주요 식중독균의 불활성화에 관한 두 kinetic models의 비교)

  • Lee, Ji-Hye;Song, Hyeon-Jeong;Song, Kyung-Bin
    • Food Science and Preservation
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    • v.18 no.3
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    • pp.423-428
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    • 2011
  • Inactivation kinetic data of Escherichia coli O157:H7, Listeria monocytogenes, Staphylococcus aureus, Salmonella Typhimurium, and Salmonella Enteritidis via treatment with aqueous chlorine dioxide treatment at a specific concentration were evaluated using the first-order kinetic and Weibull models. The Weibull model showed a better fit with the kinetic data than the first-order kinetic model. The survival curves after the aqueous chlorine dioxide treatment showed $t_R$ values(time required to reduce microbial populations by 90%) of 2.49 min for E. coli O157:H7 at 5 ppm, 1.47 min for L. monocytogenes at 5 ppm, 0.94 min for S. aureus at 5 ppm, 0.87 min for S. Typhimurium at 1 ppm, and 0.08 min for S. Enteritidis at 1 ppm, according to the Weibull model.

Analysis of Mineral in Korean Apple Juice by Inductively Coupled Plasma (Inductively Coupled Plasma를 이용한 사과주스중의 무기성분 분석)

  • 김성수
    • The Korean Journal of Food And Nutrition
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    • v.12 no.4
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    • pp.344-349
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    • 1999
  • The mineral contents were analyzed for apple juices by Inductively Coupled Plasma. The Mg contents of tested commercial apple juices ranged 6.27∼32.91ppm, Ca 15,95∼3.11.76ppm K231∼1148.02ppm Na 39.82∼115.68ppm and P 19.27∼304.02ppm. The mineal contents of model apple juice were Mg 29.83∼45.65ppm Ca 16.98∼30.98ppm K 814.28∼1,256.70ppm Na 19.88∼26.85ppm and P 25.88∼54.71ppm. respectively. Comparing mineral contents of model apple juices and commercial apple juice, Na, Ca and P contents of commercial apple juices were higher but Mg, K contents were lower than that of model apple juices. Among the mineral content of apple juices. K was the major element.

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A Study on Kano Model Based Global Sustainable Quality Innovation Index of Single PPM Quality Innovation Movement (Kano Model을 기반으로 한 Single PPM 품질혁신운동의 글로벌 지속가능 품질혁신(GSQI) 지수에 관한 연구)

  • Lee, Hoe-Sik;Lee, Myung-Joo;Jeong, Hae-Jun
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.4
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    • pp.209-219
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    • 2007
  • Since 100PPM Quality Certification System has been established by the Industrial Advancement Administration in 1995, 100PPM duality Innovation movement has contributed much to the enhancement of qualify competitiveness of Korea's parts industry. And in 2000, raised to a higher level, Single PPM qualify Certification System has been established by the Small and Medium Business Adminstration. The quality target is below the 10ppm(parts per million) in outgoing qualify and delivered goods plus field claim. Recently 1.818 companies is received Single PPM Quality Certification from Government. Single PPM Quality Innovation movement is perfection movement which is suitable for 21C's social-economical criteria to pursuit of zero defect. The purpose of this study is to suggest the Kano Model based Global Sustainable duality Innovation(GSQI) Index to improve current problems of Single PPM Quality Innovation Movement.

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Factors Affecting the Customer Satisfaction of Rural Experience -Applying Unified PPM Model - (농어촌 체험 고객 만족에 영향을 미치는 요인)

  • Choi, Yang-ae;Chung, Byoung-gyu
    • Journal of Venture Innovation
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    • v.2 no.2
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    • pp.79-94
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    • 2019
  • The purpose of this study is to explore the factors affecting rural experience by applying the unified push-pull-mooring model. The theoretical model is an unified PPM model that introduces new variables based on PPM. The pull factor of the newly introduced variables were reconstructed based on the Schmitt's Experience model and ServQual model. The hypothesis is set as follows. The push factor will have a negative effect on experience satisfaction and the pull factor(experience attributes, service quality)will have a positive effect on experience satisfaction. Also, mooring factors will have a negative effect on experience satisfaction. The research model of this study was tested by structural equation model based on 314 effective questionnaire data. Service quality had a positive effect on experience satisfaction. Mooring factors have a negative effect on experience satisfaction. Push factor and experience attributes factor were analyzed to have a no significance effect on experience satisfaction. These results theoretically test that the mooring factors also have an important effect on the experience satisfaction in the rural experience. Based on the Schmitt's Experience model and ServQual model introduced as a pull factor, the proposed unified PPM model proved to be a useful analysis framework. In practice, it was able to provide implications on what factors should be strategically and marketingly focused to activate the 6th industry experience.

The Comparison of the Total Emissivity Model for CO2 in Atmosphere (대기 중 CO2 전방사율 예측 모델 비교)

  • Byun, Ki-Hong
    • Journal of the Korean Solar Energy Society
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    • v.31 no.5
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    • pp.85-90
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    • 2011
  • The effects of $CO_2$ ppm in atmosphere on the values of the total emissivity are studied. The predictions by several methods are compared. The predicted value differences between modified Kondratyev model and Hottel model are the smallest with in the range of values tested. The $CO_2$ ppm is varied from 300 ppm to 600 ppm. By Wide Band model, the total emissivity increases with increasing density-path length product rather linearly up to 0.1 g/$cm^2$. For given $CO_2$ ppm, the total emissivity increases as the air thickness increases. The same is true for both temperature and pressure increase. The temperature range tested is 220 to 300 K. Around 260K, the total emissivity is less sensitive with increasing temperature than with decreasing temperature. The pressure is varied from 0.94 to 1.06 atm. The percentage change of total emissivity with pressure change from 1atm is at most the percentage change of the pressure.

Prediction of spatial distribution of air pollutants within tunnel (터널 내 대기오염물질의 공간분포 예측)

  • Park, Il-Gun;Hong, Min-Sun;Kim, Beom-Seok;Kang, Ho-Geun
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.14 no.6
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    • pp.607-616
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    • 2012
  • The need for management of tunnel air quality is imminent considering the rapid increase of number and span of tunnels in Korea. To investigate spatial distribution of $CO_2$ within tunnels, $CO_2$ were measured and model simulations were performed in Namsan 1 tunnel. Results show that $CO_2$ concentrations were 250 ppm to 400 ppm higher in the exit than tunnel entrance. Also, $CO_2$ concentrations were 200 ppm to 300 ppm lower inside no ventilating vehicle than in the tunnel. Both experimental and model simulation results show that spatial distribution and concentration gradient of air pollutant inside tunnel are highly dependent on traffic density.

Mathematical simulation of surfactant flushing process to remediate diesel contaminated sand column

  • Asadollahfardi, Gholamreza;Darban, Ahmad Khodadadi;Noorifar, Nazila;Rezaee, Milad
    • Advances in environmental research
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    • v.5 no.4
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    • pp.213-224
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    • 2016
  • This paper presents a numerical model based on a UTCHEM simulator to simulate surfactant flushing process to remediate diesel contaminated sand column. For this purpose, we modeled remediation process under 10000 and 20000 ppm initial concentrations of diesel. Various percent-mass sodium dodecyl sulfate (SDS) considered in our model. The model results indicated that 0.3 percent-mass of SDS at 10000 ppm and 0.1 percent-mass of SDS at 20000 ppm initial diesel concentration had maximum removal perdition which is in agreement with the experiment results. For 10000 ppm diesel concentrations, the coefficient of determination ($R^2$) and index of agreement (IA) between the model result and the experimental data were 0.9952 and 0.9695, respectively, and for 20000 ppm diesel concentrations, $R^2$ and IA were 0.9977 and 0.9935, respectively. The sensitivity analysis of permeability illustrated that in all diesel concentrations and SDS percent-mass with increasing permeability the model resulted in more removal efficiency.

Effect of Paprika (Capsicum annuum L.) on Inhibition of Lipid Oxidation in Lard-Pork Model System During Storage at $4^{\circ}C$

  • Park, Jae-Hee;Kim, Chang-Soon
    • Food Science and Biotechnology
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    • v.16 no.5
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    • pp.753-758
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    • 2007
  • This study was conducted to investigate the antioxidant activity of paprika in the lard-pork model system adding ground fresh paprika (3%) and paprika powders (5%). Paprika powders were obtained through 4 drying methods (freeze, vacuum, far infrared-ray, and hot-air). In the lard and meat-fat mixture (containing lard 30%) containing paprika powders, the rate of increase in the peroxide value (POV) and thiobarbituric acid (TBA) value decreased notably during the refrigerated storage ($4^{\circ}C$) compared to the control without paprika. Therefore, paprika powders showed potent antioxidant activity and especially the freeze dried paprika powder revealed the most effective activity among them. However, its antioxidant activity was still lower than that of the fresh paprika because the addition of fresh paprika in the lard and meat-fat mixture merely increased the POV and TBA value. In linoleic acid oxidation, the addition of capsanthin 500 ppm to mixed linoleic acid and 10 ppm of $FeCl_3$ (LF) inhibited the formation of peroxides by 15.2% compared to LF, showing its iron scavenging ability. When mixed antioxidants (${\beta}$-carotene 200 ppm + ascorbic acid 100 ppm, capsanthin 200 ppm + ascorbic acid 100 ppm) were added in LF, synergistic effects were obtained with 57.7 and 60.4% of inhibition of peroxide formation, respectively.

A study on the atmospheric diffusion of land around the clean center (크린센터 주변 부지 대기확산에 관한 연구)

  • Choi, Hong-Ju;Jeon, Yong-Han
    • Design & Manufacturing
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    • v.15 no.2
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    • pp.49-55
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    • 2021
  • In this study, CALPUFF, a three-dimensional atmospheric diffusion model, was used to predict the degree of influence of pollutants generated during clean center operation on surrounding areas. To drive the CALPUFF model, CALMET, a weather field calculation model, was used. Due to the influence of the wind field, air pollutants from the Clean Center diffused in the southeast direction, increasing the distribution area. SOx satisfies atmospheric environmental standards with an annual average value of 0.02 ppm or less NOx satisfies atmospheric environmental standards with an annual average value of 0.03 ppm or less. Dust (PM-10) satisfies atmospheric environmental standards with an annual average value of 50㎍/m3 or less and 24 hours average value of 100㎍/m3 or less. CO satisfies atmospheric environmental standards with an 8 hours average value of 9 ppm or less and an 1 hour average value of 25 ppm or less.

Factors Analysis Influencing the Switching Intention of Chinese Mobile Games based on Push-Pull-Mooring Model

  • Liu, Jing;Lee, Jungmann
    • Journal of Information Technology Applications and Management
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    • v.27 no.5
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    • pp.49-68
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    • 2020
  • The Push-Pull-Mooring (PPM) model employ to explore the factors that affect the switching intention of mobile game players by analyzing the online survey data of 240 mobile game players in China. From the perspective of PPM model, Dissatisfaction with the current mobile game can promote players to leave the current mobile game, and other more attractive mobile games can pull players out of the current mobile game. As a mooring factor, habit can affect players' switching decisions. Players who have formed strong habits in current mobile games are more likely to resist or ignore the attractiveness of other mobile games and stay in the current mobile games rather than migrate to other mobile games. Another result shows that the more dissatisfied with the current mobile game, the higher the quality of alternative (relative challenge) mobile game, and the lower the investment size in the current mobile game, the more reluctant the players are to continue to maintain the relationship with the current mobile game. The higher the player's commitment to the current mobile game, the more likely it is to maintain the relationship with the current mobile game. The empirical results show that the framework of this study is highly consistent with the results of PPM model, and confirming that they can well apply to mobile game situations.