Devraj Ranjan;G. R. Dineshkumar;Rajesh Pais;Mrityunjay Kumar Singh;Mohseen Kadarbhai;Biswajit Ghosh;Chaitanya Bhanu
Corrosion Science and Technology
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v.23
no.3
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pp.228-234
/
2024
Zinc wiping is a phenomenon used to control zinc-coating thickness on steel substrate during hot dip galvanizing by equipment called air knife. Uniformity of zinc coating weight in length and width profile along with surface quality are most critical quality parameters of galvanized steel. Deviation from tolerance level of coating thickness causes issues like overcoating (excess consumption of costly zinc) or undercoating leading to rejections due to non-compliance of customer requirement. Main contributor of deviation from target coating weight is dynamic change in air knives equipment setup when thickness, width, and type of substrate changes. Additionally, cold coating measurement gauge measure coating weight after solidification but are installed down the line from air knife resulting in delayed feedback. This study presents a coating weight control model (Galvantage) predicting critical air knife parameters air pressure, knife distance from strip and line speed for coating control. A reverse engineering approach is adopted to design a predictive, prescriptive, and descriptive model recommending air knife setups that estimate air knife distance and expected coating weight in real time. Implementation of this model eliminates feedback lag experienced due to location of coating gauge and achieving setup without trial-error by operator.
Differential bitterness perception associated with genetic polymorphism in the bitter taste receptor gene taste 2 receptor member 38 (TAS2R38) may influence an individual's food preferences, nutrition consumption, and eventually chronic nutrition-related disorders including cardiovascular disease. Therefore, the effect of genetic variations on nutritional intake and clinical markers needs to be elaborated for health and disease prevention. In this study, we conducted sex-stratified analysis to examine the association between genetic variant TAS2R38 rs10246939 A > G with daily nutritional intake, blood pressure, and lipid parameters in Korean adults (males = 1,311 and females = 2,191). We used the data from the Multi Rural Communities Cohort, Korean Genome and Epidemiology Study. Findings suggested that the genetic variant TAS2R38 rs10246939 was associated with dietary intake of micronutrients including calcium (adjusted p = 0.007), phosphorous (adjusted p = 0.016), potassium (adjusted p = 0.022), vitamin C (adjusted p = 0.009), and vitamin E (adjusted p = 0.005) in females. However, this genetic variant did not influence blood glucose, lipid profile parameters, and other blood pressure markers. These may suggest that this genetic variation is associated with nutritional intake, but its clinical effect was not found. More studies are needed to explore whether TAS2R38 genotype may be a potential predictive marker for the risk of metabolic diseases via modulation of dietary intake.
KSII Transactions on Internet and Information Systems (TIIS)
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v.18
no.8
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pp.2157-2177
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2024
Demand response (DR) refers to the customers' active reaction with respect to the changes of market pricing or incentive policies. DR plays an important role in improving network reliability, minimizing operational cost and increasing end users' benefits. Hence, the integration of DR in the microgrid (MG) management is gaining increasing popularity nowadays. This paper proposes a day-ahead MG scheduling framework in conjunction with DR and investigates the impact of DR in optimizing load profile and reducing overall power generation costs. A linear responsive model considering time of use (TOU) price and incentive is developed to model the active reaction of customers' consumption behaviors. Thereafter, a novel multi-swarm sine cosine algorithm (MSCA) is proposed to optimize the total power generation costs in the framework. In the proposed MSCA, several sub-swarms search for better solutions simultaneously which is beneficial for improving the population diversity. A cooperative learning scheme is developed to realize knowledge dissemination in the population and a competitive substitution strategy is proposed to prevent local optima stagnation. The simulation results obtained by the proposed MSCA are compared with other meta-heuristic algorithms to show its effectiveness in reducing overall generation costs. The outcomes with and without DR suggest that the DR program can effectively reduce the total generation costs and improve the stability of the MG network.
Journal of the Korean Society of Food Science and Nutrition
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v.39
no.10
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pp.1565-1572
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2010
Onion (Allium cepa L.) production in Korea has increased gradually over the past 15 years, placing second in food consumption survey with 20.6 g daily intake in 2006. Onions, used as an ingredient in many dishes and accepted by almost all traditions and cultures, have been reported to have a range of health benefits which include anticarcinogenic, antiasthmatic, antibiotic, and antioxidative effects. These effects may be attributable to a powerful flavonoid pigment-containing compounds, such as quercetin and alk(en)yl cysteine sulphoxides (ACSOs). Although antiplatelet and antithrombotic activities of onion have been confirmed by many of in vitro or animal studies, only a few human intervention studies have been examined. The majority of human studies identified that onion improves some cardiovascular markers such as lipid profile and platelet coagulant. With regard to antioxidative effects, somewhat positive effects are confirmed through strengthening the resistance of oxidative DNA damage in lymphocyte and urine, while most studies failed to find inhibitory effects on LDL oxidation. The discrepancies among studies might be ascribed to producing area, processing methods of onion, dosage, subject characteristics, study duration, and measurement methods. In this review, we focused on the preventive effect of cardiovascular disease through onion consumption in human intervention studies.
This study was conducted to evaluate the effect of high-oleate and normal-oleate peanut consumption on adipose mass and serum lipids in obese-induced C57BL/6J mice. After four weeks of the high-fat diet, mice were randomly divided into six groups: normal control (NC) diet, high-fat control (HFC) diet, high-oleate peanut-seed (HOPS) diet, normal-oleate peanut-seed (NOPS) diet, high-oleate peanut-oil (HOPO) diet, and olive-oil (OO) diet. After four weeks, all four experimental diet groups showed significantly lower body weight and epididymal fat weight than HFC group. In four experimental diet groups, serum triglycerides (TG), total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) were significantly lower, and high-density lipoprotein cholesterol (HDL-C) was significantly higher than HFC group. TG was significantly decreased in HOPS group (92.1±1.2 mg/dL) than NOPS group (101.7±5.3 mg/dL, p<0.05). Similarly, LDL-C was significantly lower in HOPS group (66.1±2.8 mg/dL) than NOPS (76.9±1.5 mg/dL, p<0.05), on the other hand, HDL-C indicated a significant elevation in HOPS (50.5±2.1 mg/dL) than NOPS group (45.2±1.6 mg/dL, p<0.05). This result suggests that the consumption of high-oleate peanut has a favorable effect on the plasma lipid profile.
This study was conducted to investigate breakfast consumption pattern in relation to diet quality and health outcomes of Korean adults. Data are from 2001 National Health and Nutrition Survey. Dietary information of 3406 adults aged $30{\sim}49$ years and their socio-demographic characteristics, blood lipid profile, fasting blood glucose, blood pressure, anthropometric measurements were analyzed. According to the breakfast consumption of the subjects, they were classified to breakfast skippers and eaters and the eaters' breakfast staple types were defined as RICE, BREAD, NOODLES, MIXED (mixed types including several grain-based dishes), and OTHERS. The proportions of breakfast consumption patterns were 18.4% for skippers, 71.1% for RICE, 2.6% for BREAD, 1.6% for NOODLES, 4.0% for MIXED, and 2.4% for OTHERS. Breakfast skippers had lower daily nutrients intake than breakfast eaters but their health outcomes did not differ from those of eaters. Instead, men with BREAD pattern had higher blood cholesterol and women in NOODLE pattern had higher blood glucose and lower HDL cholesterol. The BREAD pattern breakfast had higher energy contribution from fat and lower nutrient densities and the subjects in BREAD pattern had higher level of household income. Men's BREAD pattern breakfast consisted more animal products than that of women. There was high probability of undernutrition among women in NOODLE pattern and their mean household income was the lowest. From these results, in Korea, breakfast staple types have different food patterns and there was need for developing healthy food patterns appropriate to each staple type. The breakfast consumption pattern had influences on nutrient adequacy of the diet and health outcomes and seemed to represent socio-economic status. These could be used in doing nutrition education in community.
Journal of the Korean Society of Food Science and Nutrition
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v.38
no.10
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pp.1353-1361
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2009
This study investigated the effect of waxy barley on the incorporation trans fat (tFA) into plasma lipid and lipid profile through 6 weeks trial. 39 healthy volunteers were divided into 2 groups and fed waxy barley bread (WBG) or wheat bread (WG) containing equivalent amounts of tFA (elaidic acid rich, 3.75 g/day), respectively. Plasma lipid profiles and fatty acid composition at 0, 2, 4, 6 weeks after a respective bread were studied. Plasma lipid was extracted by the method of Folch, esterified by acid transmethylation and analyzed by gas chromatography. The fatty acid composition reflected the fatty acid proportion of the test fat. However, consumption of waxy barley bread with tFA for 6 weeks affected plasma fatty acid composition including tFA. Incorporation of tFA into plasma lipid was significantly lowered compared to WBG than in WG after 6 weeks of consumption. Furthermore, saturated fatty acids such as C16:0 and C18:0 levels were also significantly lowered in WBG than in WG. Furthermore, plasma total cholesterol level and TG/HDL-cholesterol ratio were also significantly lowered in WBG compared to WG at 2, 4 and 6 weeks. These results suggest that waxy barley bread with high $\beta$-glucan lowered plasma trans, saturated fatty acid and total cholesterol levels though the inhibition of lipid absorption.
Nowadays, Internet users tend to do a variety of actions at the same time such as web browsing, social networking and multimedia consumption. While watching a video, once a user is interested in any product, the user has to do information searches to get to know more about the product. With a conventional approach, user has to search it separately with search engines like Bing or Google, which might be inconvenient and time-consuming. For this reason, a video annotation platform has been developed in order to provide users more convenient and more interactive ways with video content. In the future of smart TV environment, users can follow annotated information, for example, a link to a vendor to buy the product of interest. It is even better to enable users to search for information by directly discussing with friends. Users can effectively get useful and relevant information about the product from friends who share common interests or might have experienced it before, which is more reliable than the results from search engines. Social networking services provide an appropriate environment for people to share products so that they can show new things to their friends and to share their personal experiences on any specific product. Meanwhile, they can also absorb the most relevant information about the product that they are interested in by either comments or discussion amongst friends. However, within a very huge graph of friends, determining the most appropriate persons to ask for information about a specific product has still a limitation within the existing conventional approach. Once users want to share or discuss a product, they simply share it to all friends as new feeds. This means a newly posted article is blindly spread to all friends without considering their background interests or knowledge. In this way, the number of responses back will be huge. Users cannot easily absorb the relevant and useful responses from friends, since they are from various fields of interest and knowledge. In order to overcome this limitation, we propose a method to filter a user's friends for information search, which leverages semantic video annotation and social networking services. Our method filters and brings out who can give user useful information about a specific product. By examining the existing Facebook information regarding users and their social graph, we construct a user profile of product interest. With user's permission and authentication, user's particular activities are enriched with the domain-specific ontology such as GoodRelations and BestBuy Data sources. Besides, we assume that the object in the video is already annotated using Linked Data. Thus, the detail information of the product that user would like to ask for more information is retrieved via product URI. Our system calculates the similarities among them in order to identify the most suitable friends for seeking information about the mentioned product. The system filters a user's friends according to their score which tells the order of whom can highly likely give the user useful information about a specific product of interest. We have conducted an experiment with a group of respondents in order to verify and evaluate our system. First, the user profile accuracy evaluation is conducted to demonstrate how much our system constructed user profile of product interest represents user's interest correctly. Then, the evaluation on filtering method is made by inspecting the ranked results with human judgment. The results show that our method works effectively and efficiently in filtering. Our system fulfills user needs by supporting user to select appropriate friends for seeking useful information about a specific product that user is curious about. As a result, it helps to influence and convince user in purchase decisions.
Purpose: The aim of this study was to explore the relationship of ready-to-eat cereal (RTEC) consumption with nutrition and health status. Examination of health status for this project included obesity, abdominal obesity, hypertension, hypertriglyceridemia, hypercholesterolemia, low-HDL-cholesterolemia, diabetes, anemia, and metabolic syndrome. Methods: Two groups, RTEC consumers and those who did not consume RTEC, were identified using 24-hour dietary recall data from the 2012 Korea National Health and Nutrition Examination Survey (KNHANES). Nutritional intakes and risk factors of the two groups were compared using covariates-adjusted statistical procedures. Statistical analyses were performed using SAS survey procedures, and strata, cluster, and weight were considered. Subjects of analysis of nutritional intake were between the ages of 1 and 75, and those considered in the risk factor analysis were between the ages of 19 and 75. Results: Results showed that 3.8% of the Korean population was RTEC consumers. Compared to the subjects who did not intake RTEC, RTEC consumers exhibited significantly higher intakes of calcium, thiamin, riboflavin, and vitamin C. It was also discovered that the percentage of people whose intakes were less than EAR decreased with RTEC consumption. RTEC consumption showed significant association with decreased systolic blood pressure, diastolic blood pressure, serum triglyceride, and serum total cholesterol. Consequently, prevalence of hypertension among RTEC consumers was significantly lower than that among non-consumers, and the odds ratio for hypertension was 0.19 after adjusting the models for covariates. Conclusion: Results of this study clearly suggest an association of RTEC consumption with improved nutritional status and cardiometabolic risk profile in Korean adults. Conduct of additional studies will be necessary in order to determine the nature of these relationships.
In the recent years, Popularization of mobile devices such as Smart Phones, PDAs and MP3 Players causes rapid increasing necessity of Power management technology because it is most essential factor of mobile devices. On the other hand, despite low price, hard disk has large capacity and high speed. Even it can be made small enough today, too. So it appropriates mobile devices. but it consumes too much power to embed In mobile devices. Due to these motivations, in this paper we had suggested methods of minimizing Power consumption while playing multimedia data in the disk media for real-time and we evaluated what we had suggested. Strict limitation of power consumption of mobile devices has a big impact on designing both hardware and software. One difference between real-time multimedia streaming data and legacy text based data is requirement about continuity of data supply. This fact is why disk drive must persist in active state for the entire playback duration, from power management point of view; it nay be a great burden. A legacy power management function of mobile disk drive affects quality of multimedia playback negatively because of excessive I/O requests when the disk is in standby state. Therefore, in this paper, we analyze power consumption profile of disk drive in detail, and we develop the algorithm which can play multimedia data effectively using less power. This algorithm calculates number of data block to be read and time duration of active/standby state. From this, the algorithm suggested in this paper does optimal scheduling that is ensuring continual playback of data blocks stored in mobile disk drive. And we implement our algorithms in publicly available MPEG player software. This MPEG player software saves up to 60% of power consumption as compared with full-time active stated disk drive, and 38% of power consumption by comparison with disk drive controlled by native power management method.
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