• 제목/요약/키워드: Growth attributes

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The effect of citrus and onion peel extracts, calcium lactate, and phosvitin on microbial quality of seasoned chicken breast meat

  • Alahakoon, Amali U.;Bae, Young Sik;Kim, Hyun Joo;Jung, Samooel;Jayasena, Dinesh D.;Yong, Hae In;Kim, Sun Hyo;Jo, Cheorun
    • Korean Journal of Agricultural Science
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    • v.40 no.2
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    • pp.131-137
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    • 2013
  • The inhibitory effect of citrus peel extract, onion peel extract, calcium lactate and phosvitin on microbial growth was investigated in seasoned chicken breast meat during aerobic storage at $4^{\circ}C$, $10^{\circ}C$ and $20^{\circ}C$. Citrus peel and onion peel extract significantly improved (p<0.05) the microbial quality of the sample by reducing the initial counts of the microbial flora compared to control and other two treatments. Data clearly revealed that the counts of the total aerobic bacteria significantly increased with the increase in storage temperature. The shelf life of all samples stored under $20^{\circ}C$ was less than 6 days, while the shelf life of citrus and onion treatment can be extended more than 9 days at $4^{\circ}C$ and more than 6 days at $10^{\circ}C$ in aerobic storage condition. These results indicated that citrus and onion peel extracts are efficient treatment methods to prevent microbial spoilage of seasoned chicken products during storage at $4^{\circ}C$. However, there was an adverse effect of addition of citrus and onion peel extract on several sensory attributes which need to be improved by reformulation of seasoning.

The Effect of Service Quality on E-Service Value, Customer Satisfaction and Loyalty in Internet Banking (인터넷뱅킹의 서비스품질이 e-서비스가치 및 고객만족과 고객충성도에 미치는 영향)

  • Chung, Ki Han;Park, Min Young;Shin, Jae Ik
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.5 no.4
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    • pp.231-247
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    • 2009
  • With the growth of e-commerce banks make the best use of internet banking which can provide all sorts of financial services in cyber space and satisfy customers beyond traditional banking services which are cash reserve and loan based on retail. For survival of internet banking high quality of service should be provided to customers. For this, the attributes of service quality in internet banking should be identified first. The studies on scale of service quality in internet banking have been divided into two ways. While traditional way has focused on SERVQUAL, several researchers have developed scale of e-service quality. However, the dimension of e-service quality is applied from the traditional dimension of service quality. In this paper five dimensions of tangibles, reliability, responsiveness, assurance, and empathy based on SERVQUAL are used as scale of service quality in internet banking through reviewing previous studies. In addition, because service value is correlated to service quality, the dimensions of service quality can affect e-service value. The positive relationship among e-service value, customer satisfaction, and customer loyalty in online or offline service has been identified by previous studies. The purpose of this study is to identify the relationship among service quality, e-service value, customer satisfaction, and customer loyalty in internet banking. SPSS 12.0 is used to test validity and reliability of questionnaire items and correlation of variables and AMOS 4.0 is used to test the hypotheses. The results of this study show that the responsiveness, assurance, and empathy factors of service quality have a positive effect on service value and that the tangible and assurance factors have a positive effect on customer satisfaction. It also shows that e-service value affects positively customer satisfaction and loyalty. Customer satisfaction affects positively customer loyalty. Therefore, to enhance customer satisfaction and loyalty, service quality and value of internet banking should be improved through reinforcing customers' trust in internet service quality.

An Approach for Worm Propagation Modeling using Scanning Traffic Profiling (스캐닝 트래픽의 프로파일링을 통한 인터넷 웜 확산 모델링 기법)

  • Shon, Tae-Shik;Koo, Bon-Hyun
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.5
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    • pp.67-74
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    • 2010
  • Recently, the early detection and prevention of worm research is mainly studying based on the analysis of generalized worm propagation property. However, it is not easy to do Worm early detection with its attributes because the modeling method for Worm propagation is vague and not specified yet. Worm scanning method is exceedingly effect to Worm propagation process. This paper describes a modeling method and its simulations to estimate various worm growth patterns and their corresponding propagation algorithms. It also tests and varies the impact of various improvements, starting from a trivial simulation of worm propagation and the underlying network infrastructure. It attempts to determine the theoretical maximum propagation speed of worms and how it can be achieved. Moreover, we present the feasibility of the proposed model based on real testbed for verification.

The Study on Improvement of Cohesion of Clustering in Incremental Concept Learning (점진적 개념학습의 클러스터 응집도 개선)

  • Baek, Hey-Jung;Park, Young-Tack
    • The KIPS Transactions:PartB
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    • v.10B no.3
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    • pp.297-304
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    • 2003
  • Nowdays, with the explosive growth of the web information, web users Increase requests of systems which collect and analyze web pages that are relevant. The systems which were develop to solve the request were used clustering methods to improve the duality of information. Clustering is defining inter relationship of unordered data and grouping data systematically. The systems using clustering provide the grouped information to the users. So, they understand the information efficiently. We proposed a hybrid clustering method to cluster a large quantity of data efficiently. By that method, We generate initial clusters using COBWEB Algorithm and refine them using Ezioni Algorithm. This paper adds two ideas in prior hybrid clustering method to increment accuracy and efficiency of clusters. Firstly, we propose the clustering method considering weight of attributes of data. Second, we redefine evaluation functions which generate initial clusters to increase efficiency in clustering. Clustering method proposed in this paper processes a large quantity of data and diminish of dependancy on sequence of input of data. So the clusters are useful to make user profiles in high quality. Ultimately, we will show that the proposed clustering method outperforms the pervious clustering method in the aspect of precision and execution speed.

Application of Mobile Mapping System for Effective Road Facility Maintenance and Management (효율적인 도로 시설물 유지관리를 위한 모바일 매핑 시스템 활용에 관한 연구)

  • Kim, Moon-Gie;Sung, Jung-Gon
    • Korean Journal of Remote Sensing
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    • v.24 no.2
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    • pp.153-164
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    • 2008
  • According to the economic growth, many highways are constructed for increasing need of better life style. Especially roads and roadside facilities are used for accident prevention and offering mobility for drivers. For these purpose, roads and roadside facilities should be well maintained and managed. Now, many roads and roadside facilities are constructed in many areas. Because of traditional surveying method requires much time and surveying efforts, we designed and developed mobile mapping system for highway maintenance and management purpose using multi sensors. We tested our mobile mapping system and data management process. Using developed database, road managers can easily check the information of facility conditions, positions, and attributes. We are expecting low cost and efficient road maintenance process by using our system.

Rethinking Social Media: The Influences of Restrictive Attributes of Audio-based Social Media on User Intention (SNS의 재발견: 오디오SNS의 제한적 속성이 사용의도에 미치는 영향)

  • Cho, Yeram;Lee, Jeha;Park, Haeun;Chung, Doohee
    • Journal of Technology Innovation
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    • v.29 no.4
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    • pp.125-160
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    • 2021
  • Unlike existing social platforms that seek openness, an audio-based social platform is characterized by its limitations. This study uses the Value-Based Acceptance Model(VAM) to analyze the role that such limitations play in the user's acceptance of audio-based social media. In this study, restrictive properties are defined as access-limitation, communication-limitation, and content-limitation. This study aims to analyze the effect of each variable on the perceived value and usage of audio-based social media. The hypothesis test was conducted based on the survey responses total of 207 users and potential users. The results was analyzed that three limiting variables affect perceived benefit factors, usefulness and playfulness, and the user's acceptance intention. This study is significant in that it presents a model based on the VAM and provides guidance for new forms of social media growth.

Hazelcast Vs. Ignite: Opportunities for Java Programmers

  • Maxim, Bartkov;Tetiana, Katkova;S., Kruglyk Vladyslav;G., Murtaziev Ernest;V., Kotova Olha
    • International Journal of Computer Science & Network Security
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    • v.22 no.2
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    • pp.406-412
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    • 2022
  • Storing large amounts of data has always been a big problem from the beginning of computing history. Big Data has made huge advancements in improving business processes by finding the customers' needs using prediction models based on web and social media search. The main purpose of big data stream processing frameworks is to allow programmers to directly query the continuous stream without dealing with the lower-level mechanisms. In other words, programmers write the code to process streams using these runtime libraries (also called Stream Processing Engines). This is achieved by taking large volumes of data and analyzing them using Big Data frameworks. Streaming platforms are an emerging technology that deals with continuous streams of data. There are several streaming platforms of Big Data freely available on the Internet. However, selecting the most appropriate one is not easy for programmers. In this paper, we present a detailed description of two of the state-of-the-art and most popular streaming frameworks: Apache Ignite and Hazelcast. In addition, the performance of these frameworks is compared using selected attributes. Different types of databases are used in common to store the data. To process the data in real-time continuously, data streaming technologies are developed. With the development of today's large-scale distributed applications handling tons of data, these databases are not viable. Consequently, Big Data is introduced to store, process, and analyze data at a fast speed and also to deal with big users and data growth day by day.

Effects of Probiotic Fermented Fruit Juice-Based Biotransformation by Lactic Acid Bacteria and Saccharomyces boulardii CNCM I-745 on Anti-Salmonella and Antioxidative Properties

  • Laosee, Wanida;Kantachote, Duangporn;Chansuwan, Worrapanit;Sirinupong, Nualpun
    • Journal of Microbiology and Biotechnology
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    • v.32 no.10
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    • pp.1315-1324
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    • 2022
  • Fermentation is an effective process for providing various beneficial effects in functional beverages. Lactic acid bacteria and yeast fermentation-based biotransformation contribute to enhancement of nutritional value and digestibility, including lactose intolerance reduction and control of infections. In this study, the probiotic fermented fruit juice (PFJ) was produced by Lactobacillus plantarum TISTR 1465, Lactobacillus salivarius TISTR 1112, and Saccharomyces boulardii CNCM I-745 while mixed fruit juice (MFJ) was used as the basic medium for microorganism growth. The potential function, the anti-salmonella activity of PFJ, was found to be effective at 250 mg/ml of MIC and 500 mg/ml of MBC. Biofilm inhibition was performed using the PFJ samples and showed at least 70% reduction in cell attachment at the MIC concentration of Salmonella Typhi DMST 22842. The antioxidant activities of PFJ were determined and the results revealed that FSB.25 exhibited 78.40 ± 0.51 mM TE/ml by FRAP assay, while FPSB.25 exhibited 3.44 ± 0.10 mM TE/ml by DPPH assay. The volatile compounds of PFJ were characterized by GC-MS, which identified alcohol, aldehyde, acid, ester, ketone, phenol, and terpene. The most abundant organic acid and alcohol detected in PFJ were acetic acid and 2-phenylethanol, and the most represented terpene was β-damascenone. The sensory attributes showed scores higher than 7 on a 9-point hedonic scale for the FPB.25, illustrating that it was well accepted by panelists. Taken together, our results showed that PFJ could meet current consumer demand regarding natural and functional, fruit-based fermented beverages.

A Phenomenological Study on the Meaning of College Life of Extracurricular Activities Engagement of Students Majoring in Aviation Service (항공서비스학과 비교과 참여 학생의 대학 생활 의미에 관한 현상학적 연구)

  • Lee, Sea-Yoon;Kwak, Yeon-Kyeong
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.363-373
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    • 2022
  • This study aims to investigate the essential meaning of college life based on understanding the lived experiences while participating in the extracurricular programs. This study was designed according to Giorgi's phenomenological research method to comprehend and grasp the meaning of the essential experience of each individual. Data collection for this study was conducted by a semi-structured in-depth interview with 6 participants who had engaged in the extracurricular program delivered by the department of Aviation Services. This study suggests that the experiential attributes of engaging in extracurricular classes and the meaning of involving extracurricular activities were derived into four themes each. The finding discovers that the meaning of college life including, 'improve in satisfaction of college life', 'various college life', 'memories of college life', and 'motivation for college life'. The conclusion to be drawn here is that the experience of participating in various extracurricular programs was shown to be a path of transitional process of personal growth. The significance of this study is that it revealed the extracurricular activities added a new meaning to their college life based on the interviewee's lived experience.

The Effects of Internal Characteristics of Startups on Corporate Performance through Organizational Commitment (스타트업 내부 특성이 조직 결속을 통해 기업 성과에 미치는영향)

  • Chanuk Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.635-647
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    • 2023
  • In the pursuit of sustained innovation within industries, the consistent emergence of high-growth potential startups is imperative. Despite the government's implementation of diverse investment-based policies aimed at fostering startup initiation, the inherent probability of post-establishment failure for startups remains substantial. This study examines the impact of internal factors on organizational commitment and corporate performance in startups. It emphasizes the significance of learning and networking orientation for commitment across various organizational aspects. Innovativeness affects emotional and normative commitment but not continuance commitment. Financial attributes and global orientation influence continuance commitment, while affective and continuance commitment significantly impact startup performance. Normative cohesion, however, does not significantly affect performance. These findings offer insights for optimizing human resource utilization in startups, benefiting both companies and governments in the evolving startup landscape.