• Animal Bioscience
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• 제37권2_spc호
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• pp.346-359
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• 2024

Advanced and innovative breeding and management of meat-producing animals are needed to address the global food security and sustainability challenges. Beef production is an important industry for securing animal protein resources in the world and meat quality significantly contributes to the economic values and human needs. Improvement of cattle feed efficiency has become an urgent task as it can lower the environmental burden of methane gas emissions and the reduce the consumption of human edible cereal grains. Cattle depend on their symbiotic microbiome and its activity in the rumen and gut to maintain growth and health. Recent developments in high-throughput omics analysis (metagenome, metatranscriptome, metabolome, metaproteome and so on) have made it possible to comprehensively analyze microbiome, hosts and their interactions and to define their roles in affecting cattle biology. In this review, we focus on the relationships among gut microbiome and beef meat quality, feed efficiency, methane emission as well as host genetics in beef cattle, aiming to determine the current knowledge gaps for the development of the strategies to improve the sustainability of beef production.

• 식품과학과 산업
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• 제55권2호
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• pp.166-175
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• 2022

Current food system has developed with the agricultural innovation to feed the increasing population of the world, but with high costs such as environmental contamination and inequality with low sustainability. Human has developed long history of mutualistic interaction with honey bee. This manuscript describes the multi-functionality of honey bee for food production. Firstly honey bee produces honey, bee pollen, royal jelly and propolis which are rich in functionality. Second honey bee serves as the main pollinator for crop production which is worth for 28% of total crop production values in Korea. Lastly honey bee can be an alternative meat produciton system with lower energy, carbon costs but higher nutritional security. This manuscript described those parts and discussed the multi-functionality of honey bees for eco-friendly food security pursuing lowered environmental cost and carbon-zero strategies in the climate change era.

• 한국정보통신학회논문지
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• 제20권1호
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• pp.87-93
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• 2016

본 논문에서는 안드로이드의 보안체계 강화를 위한 애플리케이션 권한의 선택적 관리방안에 대해 새로운 방법을 제안하였다. 먼저 기존의 안드로이드의 보안 체계에 대해 분석하고 발생 가능한 취약점을 도출하였다. 이어서 도출된 취약점을 해결하기 위한 방안으로서 애플리케이션 권한을 선택적으로 관리하는 툴을 구현하였다. 이 툴은 애플리케이션을 설치할 때 반드시 허용해야 하는 애플리케이션 권한을 선택적으로 허용하여 필요한 권한만 가지게 하는 기능을 가지고 있다. 구현한 관리 도구를 이용한 실험을 통하여 개발된 툴이 안드로이드의 시스템 레벨 보안 강화에 도움이 됨을 입증하였다.

• Asian-Australasian Journal of Animal Sciences
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• 제31권7호
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• pp.933-950
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• 2018

In Japan, Wagyu cattle include four Japanese breeds; Black, Brown, Shorthorn, and Polled. Today, the renowned brand name Wagyu includes not only cattle produced in Japan, but also cattle produced in countries such as Australia and the United States. In recent years, the intramuscular fat percentage in beef (longissimus muscle) from Japanese Black cattle has increased to be greater than 30%. The Japanese Black breed is genetically predisposed to producing carcass lipids containing higher concentrations of monounsaturated fatty acids than other breeds. However, there are numerous problems with the management of this breed including high production costs, disposal of untreated excrement, the requirement for imported feed, and food security risks resulting from various viral diseases introduced by imported feed. The feeding system needs to shift to one that is more efficient, and improves management for farmers, food security for consumers, and the health environment for residents of Japan. Currently, we are developing a metabolic programming and an information and communications technology (ICT, or Interne of Things) management system for Wagyu beef production as future systems. If successful, we will produce safe, high-quality Wagyu beef using domestic pasture resources while solving the problems of how to utilize increasing areas of abandoned agricultural land and to make use of the plant-based feed resources in Japan's mountainous areas.

• International Journal of Computer Science & Network Security
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• 제23권2호
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• pp.199-202
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• 2023

Carriage return (CR) and line feed (LF), also known as CRLF injection is a type of vulnerability that allows a hacker to enter special characters into a web application, altering its operation or confusing the administrator. Log poisoning and HTTP response splitting are two prominent harmful uses of this technique. Additionally, CRLF injection can be used by an attacker to exploit other vulnerabilities, such as cross-site scripting (XSS). Email injection, also known as email header injection, is another way that can be used to modify the behavior of emails. The Open Web Application Security Project (OWASP) is an organization that studies vulnerabilities and ranks them based on their level of risk. According to OWASP, CRLF vulnerabilities are among the top 10 vulnerabilities and are a type of injection attack. Automated testing can help to quickly identify CRLF vulnerabilities, and is particularly useful for companies to test their applications before releasing them. However, CRLF vulnerabilities can also lead to the discovery of other high-risk vulnerabilities, and it fosters a better approach to mitigate CRLF vulnerabilities in the early stage and help secure applications against known vulnerabilities. Although there has been a significant amount of research on other types of injection attacks, such as Structure Query Language Injection (SQL Injection). There has been less research on CRLF vulnerabilities and how to detect them with automated testing. There is room for further research to be done on this subject matter in order to develop creative solutions to problems. It will also help to reduce false positive alerts by checking the header response of each request. Security automation is an important issue for companies trying to protect themselves against security threats. Automated alerts from security systems can provide a quicker and more accurate understanding of potential vulnerabilities and can help to reduce false positive alerts. Despite the extensive research on various types of vulnerabilities in web applications, CRLF vulnerabilities have only recently been included in the research. Utilizing automated testing as a recurring task can assist companies in receiving consistent updates about their systems and enhance their security.

• Asian-Australasian Journal of Animal Sciences
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• 제33권5호
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• pp.778-787
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• 2020

Objective: This study was conducted to investigate the effects of normal and heat stress environments on growth performance and, selected physiological and immunological parameters, caecal microflora and meat quality in Cobb 500 and Ross 308 broilers. Methods: One-hundred-and-twenty male broiler chicks from each strain (one-day-old) were randomly assigned in groups of 10 to 24 battery cages. Ambient temperature on day (d) 1 was set at 32℃ and gradually reduced to 23℃ on d 21. From d 22 to 35, equal numbers of birds from each strain were exposed to a temperature of either 23℃ throughout (normal) or 34℃ for 6 h (heat stress). Results: From d 1 to 21, strain had no effect (p>0.05) on feed intake (FI), body weight gain (BWG), or the feed conversion ratio (FCR). Except for creatine kinase, no strain×temperature interactions were observed for all the parameters measured. Regardless of strain, heat exposure significantly (p<0.05) reduced FI and BWG (d 22 to 35 and 1 to 35), immunoglobulin Y (IgY) and IgM, while increased FCR (d 22 to 35 and 1 to 35) and serum levels of glucose and acute phase proteins (APPs). Regardless of temperature, the Ross 308 birds had significantly (p<0.05) lower IgA and higher finisher and overall BWG compared to Cobb 500. Conclusion: The present study suggests that the detrimental effects of heat stress are consistent across commercial broiler strains because there were no significant strain×temperature interactions for growth performance, serum APPs and immunoglobulin responses, meat quality, and ceacal microflora population.

• 대한전기학회논문지:전력기술부문A
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• 제48권2호
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• pp.107-114
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• 1999

This paper presents an application of artificial neural networks(ANN) to assess the dynamic security of power systems. The basic role of ANN is to provide assessment of the system's stability based on training samples from off-line analysi. The critical clearing time(CCT) is an attribute which provides significant information about the quality of the post-fault system behaviour. The function of ANN is a mapping of the pre-fault, fault-on, and post-fault system conditions into the CCT's. In previous work, a feed forward neural network is used to learn this mapping by using the generation outputs during the fault as the input data. However, it takes significant calculation time to make the input data through the network reduction at a fault as the input data. However, it takes significant calculation time to make the input data through the network reduction at a fault considered. In order to enhance the speed of security assessment, the bus data and line powers are used as the input data of the ANN in thil paper. Test results show that the proposed neural networks have the reasonable accuracy and can be used in on-line security assenssment efficiently.

• 시큐리티연구
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• 제4호
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• pp.29-46
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• 2001

This research is based on the protection of the social safty with the preventive measures against Creutzfedt-jakob's and Mad cow Disease which has been drawn an attention of the public. It also has Known as an epidemic with rapid transmission an severe conteminaton to hurt the health through beef. In this work, some fruitful suggestions have been made to prevent and to minimize the harms Creutzfedt-jakob's and Mad Cow Disease : 1) We should Pay attention to the prior preventive measures by detecting the modes and the causes of the contemination lute route ; 2) there should be a step to inoculate the cattles to provide non-conteminated fresh feed for cows ; and 3) a health official should be alert to prevent the rapid transmission to the public by breaking the infected route of it.

• 한국조리학회지
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• 제10권1호
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• pp.46-63
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• 2004

The service quality factors which causes an effect in restaurant selections appeared with gain and loss factors of essence and the customers. The restaurant recommendation factor was appeared with shedding of blood characteristics. The research which sees Korean-style food party's decision making is difficult with the plan of the security and loyalty of customers presented. The marketing strategy for the customer loyalty of Korean-style food party will be able to be overcome. The critical point of the research which sees for the security of the loyalty customer selects a target market, and the strategy which invades intensively is necessary. The Korean-style food party decision may cause the customer fractionation anger which follows in market fractionation anger. It does not become accomplished from the research which sees but with the critical point of research to appear, the research of creation of the loyalty customer who applies a market fractionation anger necessity will be becomes feed with hereafter research subject.

• International Journal of Computer Science & Network Security
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• 제23권4호
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• pp.166-171
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• 2023

The Stock price analysis is an increasing concern in a financial time series. The purpose of the study is to analyze the price parameters of date, high, low, and news feed about the stock exchange price. Long short term memory (LSTM) is a cutting-edge technology used for predicting the data based on time series. LSTM performs well in executing large sequence of data. This paper presents the Long Short Term Memory Model has used to analyze the stock price ranges of 10 days and 20 days by exponential moving average. The proposed approach gives better performance using technical indicators of stock price with an accuracy of 82.6% and cross entropy of 71%.