• Journal of Bio-Environment Control
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• v.18 no.1
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• pp.51-59
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• 2009

Bulb onion cultivation area has been restricted in southern part of Korea to avoid blotting and bulb division. The traditional culture method is transplanting bare-rooted plantlet into the field at the end of summer and harvesting at the beginning of next summer. The hot weather and weak plantlets occasionally causes unstable supply of onions in autumn. In order to enlarge cultivation area and to reduce culture period, long nursery system using plug tray and spring transplanting was tried. Forty cultivars collected from Korea and Japan were nursed using 200-plug tray and transplanted to the field in spring. Marketable yield was not related to the seedling size but lodging time. Cultivar of 'Hamasodachi' was lodged early and resulted low marketable yield. Cultivar of 'Cheonjudaego' was not lodged and yielded high but not in accordance with storability. Generally early lodged cultivars showed low storability. In order to avoid rainy harvesting season, cultivars requires excessive long time for lodging is not recommended for spring culture. Using plug nursery and spring transplanting, we successfully produced marketable onions in 3 months. But immediate using of the harvested onion is recommended. The storability of produced onions showed different result among cultivars, storage of spring onion was not recommended.

• Journal of Internet Computing and Services
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• v.13 no.4
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• pp.83-93
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• 2012

HTML5 has developed not to have browser dependancy considering interoperability as same as maintaining compatability with lower versions of HTML. HTML5, the newest web standardization is on going of being structured. Along with the smart phone boom, HTML5 is spotlighted because it can be applied to cross platforms in mobile web environments. Specially the local Storage that has been listed in new features in HTML5 supports offline function for web application that enables web application to be run even when the mobile is not connected to 3G or wifi. With Local storage, development of server-independent web application can be possible. However Local storage stores plaintext data in it without applying any security measure and this makes the plaintext data dangerous to security threats that are already exist in other client side storages like Cookie. In the paper we propose secure Local storage methods to offer a safe way to store and retrieve data in Local storage guaranteeing its performance. Suggested functions in this paper follow localStorage standard API and use a module that provide cryptographic function. We also prove the efficiency of suggested secure Local storage based on its performance evaluation with implementation.

• Korean Journal of Food Science and Technology
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• v.38 no.1
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• pp.1-4
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• 2006

Method of analyzing sodium alginate in foods was developed using high performance liquid chromatography (HPLC). HPLC conditions for sodium alginate were: column, MCI GEL $(8\;mm\;i.d{\times}300\;mm)$; mobile phase, deionized water; detector, refractive index detection (sensitivity = 16). Separation of sodium alginate was achieved within 15 min. Sodium alginate showed good linear relationship at 0.1-2.0% range. Correlation coefficient of calibration curve for sodium alginate exceeded 0.999, and detection limit was 0.005%. Recovery rate of sodium alginate in wheat flour dough was 106.67%. This method was successfully applied to analyses of cereals, saccharides, and ice cream, etc. Sodium alginate was detected in chocolate, noodles, and kelp at 0-44.8% range.

• Journal of Internet Computing and Services
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• v.23 no.5
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• pp.69-78
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• 2022

As the use of Internet of Things (IoT) devices has expanded, digital forensics coverage of the National Police Agency has expanded to smart home areas. Accordingly, most of the existing studies conducted to acquire smart home platform data were mainly conducted to analyze local data of mobile devices and analyze network perspectives. However, meaningful data for evidence analysis is mainly stored on cloud storage on smart home platforms. Therefore, in this paper, we study how to acquire stored in the cloud in a Hey Home Air environment by extracting accessToken of user accounts through a cookie database of browsers such as Microsoft Edge, Google Chrome, Mozilia Firefox, and Opera, which are recorded on a PC when users use the Hey Home app-based "Hey Home Square" service. In this paper, the it was configured with smart temperature and humidity sensors, smart door sensors, and smart motion sensors, and artifacts such as temperature and humidity data by date and place, device list used, and motion detection records were collected. Information such as temperature and humidity at the time of the incident can be seen from the results of the artifact analysis and can be used in the forensic investigation process. In addition, the cloud data acquisition method using OpenAPI proposed in this paper excludes the possibility of modulation during the data collection process and uses the API method, so it follows the principle of integrity and reproducibility, which are the principles of digital forensics.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.8
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• pp.845-852
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• 2018

Mayer-Schönberger and Cukier(2013) explain why big data is important for our life, while showing many cases in which analysis of big data has great significance for our life and raising intriguing issues on the analysis of big data. The two authors claim that correlation is in many ways practically far more efficient and versatile in the analysis of big data than causality. Moreover, they claim that causality could be abandoned since analysis and prediction founded on correlation must prevail. I critically examine the two authors' accounts of causality and correlation. First, I criticize that corelation is sufficient for our analysis of data and our prediction founded on the analysis. I point out their misunderstanding of the distinction between correlation and causality. I show that spurious correlation misleads our decision while analyzing Simpson paradox. Second, I criticize not only that causality is more inefficient in the analysis of big data than correlation, but also that there is no mathematical theory for causality. I introduce the mathematical theories of causality founded on structural equation theory, and show that causality has great significance for the analysis of big data.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.3
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• pp.471-485
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• 2023

Recently, due to the nature of blockchain that guarantees users' anonymity, more and more cases are being exploited for crimes such as illegal transactions. However, cryptocurrency is protected in cryptocurrency wallets, making it difficult to recover criminal funds. Therefore, this study acquires artifacts from the data and memory area of a local PC based on user behavior from four browser extension wallets (Metamask, Binance, Phantom, and Kaikas) to track and retrieve cryptocurrencies used in crime, and analyzes how to use them from a digital forensics perspective. As a result of the analysis, the type of wallet and cryptocurrency used by the suspect was confirmed through the API name obtained from the browser's cache data, and the URL and wallet address used for the remittance transaction were obtained. We also identified Client IDs that could identify devices used in cookie data, and confirmed that mnemonic code could be obtained from memory. Additionally, we propose an algorithm to measure the persistence of obtainable mnemonic code and automate acquisition.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.56 no.6
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• pp.766-772
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• 2023

This study was conducted to compare the nutritional properties of cookies made with Israeli carp Cyprinus carpio (C-IC) to those made without Israeli carp (control). The proximate composition of C-IC per 100 g was 4.1 g moisture, 9.7 g protein, 29.2 g lipid, 1.4 g ash, and 55.6 g carbohydrates. Moisture, protein and ash contents were significantly higher and the carbohydrate content was significantly lower (P<0.05) in C-IC than control, but there was no difference in lipid content (P>0.05). The total amino acid content of C-IC per 100 g was 9.46 g and the major amino acid was glutamic acid (2.49 g). The mineral contents of C-IC per 100 g were 216.6 mg calcium, 193.2 mg phosphorus, 170.9 mg potassium, and 18.2 mg magnesium, which were all significantly higher than the contents of the control (P<0.05). The major fatty acids of C-IC were 16:0, 18:1n-9, and 18:2n-6. The digestibility of C-IC in the small intestine was 51.3%, which was higher than the digestibility of the control. These results suggest that C-IC have better nutritional properties than the control.

• Journal of Nutrition and Health
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• v.44 no.2
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• pp.131-139
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• 2011

The purpose of this study was to obtain information related to life style characteristics, school achievement and snacking behaviors among underweight and overweight adolescents in Ulsan area. The survey was carried out by self-questionnaires with 464 adolescents (333 underweight and 131 overweight). The results were as follows: Average BMI of the subjects was $19.81{\pm}3.10\;kg/m^2$ which was normal range, but average BMI of underweight and overweight were $16.90{\pm}1.19\;kg/m^2$ and $25.38{\pm}2.16\;kg/m^2$ respectively. The 49.5% of underweight and 94.7% of overweight students have correct perception about their body image. In the sleeping time, 58.9% of underweight and 66.4% of overweight students go to bed after PM 12 o'clock. In the regularity of eating breakfast, 68.5% of underweight and 67.9% of overweight students skipping breakfast at least 5 times per week. 32.6% of the subjects had snack once or more a day. Underweight students had more frequently ate snack than overweight students. The criteria of choosing snack were taste (77.4%), nutrition (9.3%), and price (6.3%). Food as snack they frequently had fruits, milk & milk products, cookies in order. Underweight students had more dodkboki & sundae, candy & chocolate and cake & bread than overweight students, although overweight students had more milk & yogurt than underweight students. The group who had a higher school record, they significantly had more fruits, milk & milk products (p < 0.01) and had not less nutritious foods (p < 0.001). This study may provide basic information on weight status, sleeping and snacking behaviors of adolescents. Therefore they should have nutrition education program to improve their life style and snacking patterns for underweight and overweight adolescents toward healthy weight.

• Korean journal of food and cookery science
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• v.9 no.1
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• pp.1-6
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• 1993

The possession of microwave range, oven and oven-microwave range has been greatly increased with 88 Seoul Olympic Game as a momentum, and the possession rate was by 68%. The respondent answered the function of microwave range to be more necessary than that of oven, and the two household commodities have been mostly used to reheat and heat simply prepared frozen foods. The 35% among total respondent wished to cook the prepared frozen foods like pizza, but the 87% prefered to cook bakery. The frequencies of the use of oven were 35%, 35% for cooking premix and raw materials, and 20%, 20% for cooking half-prepared and prepared foods, respectively. The respondent of 39% was interested in premix foods as a future preference for food forms, and the respondent with interest in half-prepared food was 30%, but the preference for raw materials and prepared foods showed a trend to be decreased. The respondent of 60ft had eaten out six times week, and 50% had eaten instant and fast foods 1~3 times week. As the results of this survey, most of consumers prefer to more convenient foods. Therefore, it is expected that the function of oven and microwave range would be widely useful if various foods are improved with regards to convenience for use and preference.

• Korean Journal of Food Science and Technology
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• v.31 no.6
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• pp.1471-1476
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• 1999

A simple and practical method for determination of caffeine in foods was developed. The analysis of caffeine was performed by reverse phase high performance liquid chromatography using a ${\mu}-Bondapak\;C_{18}$ column at isocratic condition with methanol-acetic acid-water(20 : 1 : 79) on UV detector at 280 nm. The clean-up and extraction of caffeine in samples were based on a simple pretreatment using a Sep-Pak $C_{18}$ cartridge. Recovery rates obtained with this method for cider, candy, cookie, milk, ice cream and persimmon leaf tea were 99.23%, 99.50%, 99.17%, 99.37%, 98.93% and 99.10% respectively. And the detection limit of caffeine was $0.1\;{\mu}g/mL$. With this method, the range of caffeine contents extracted from coffee, green tea, black tea, Oolong tea(tea bag), soft drinks, ice cream, milk and commercial confectionery were $3.38{\sim}37.50\;mg/g,\;16.30{\sim}26.10\;mg/g,\;10.80{\sim}16.65\;mg/g,\;11.25\;mg/g,\;0.06{\sim}0.11\;mg/g,\;0.04{\sim}0.44\;mg/g,\;0.04{\sim}0.39\;mg/g\;and\;0.10{\sim}1.80\;mg/g$, respectively. But caffeine was not detected in the other tea such as Acanthopanax sessiliflorum tea, Angelica gigas tea, Angelica tea, Arrow root tea, Duchu'ng tea, Dunggulle tea, Ganoerma lucidum tea, Ginger tea powder, Persimmon leaf tea, Ssanghwa tea and Cocoa mix powder.