• Food Science and Preservation
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• v.13 no.6
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• pp.669-674
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• 2006

In order to develop a model on the quality and nutrition label of Korean fruit plum, we first examined the quality and nutritional characteristics of Korean Plum, ChooHee. The contents of moisture, crude protein, crude fat, crude fiber, crude ash and N-free extinct were 92% 0.74% 0.64% 1.65%, 0.32% 4.29% respectively. Thus the total calorie of the sample was 32 kcal/100 g. The content of sugar, acidity and Vitamin C were $33{\pm}0.85 Bx^{\circ}$, $1.08{\pm}0.12%$ and $7.037{\pm}0.317mg%$ respectively. The principle minerals were S, K, Ca, Na, and Mg. Major free sugars were fructose, glucose and sucrose and major organic acid were succinic acid, malic acid and citric acid. The difference of contents of total phenols between peel and flesh pare were considerable. The total phenolic contents of whole fruit were $75.55{\pm}0.73mg%$. On the above results, the quality and nutrition label of Korean plum were developed in the first time. We expect that this study on labeling could play an important role to the quality control and marketing of Korean agricultural products.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.12B
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• pp.1081-1090
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• 2003

NGI(Next Generation Internet) is characterized by QoS(Quality of Service) and high speed transmission. Recently, DiffServ and MPLS become most influential NGI architecture. To guarantee end-to-end QoS, it is essential for NGI to interwork MPLS with DiffServ. Here, MPLS WG(Working Group) in IETF(Internet Engineering Task Force) proposed the method of E-LSP(EXP inferred-PSC LSPs) and L-LSP(Label-Only-Inferred PSC LSPs), but both of them have serious problems to satisfy perfect interworking. In this paper, we proposed an extended E-LSP architecture that supports Perfect DiffServ class and experimental function in MPLS such as ECN(Explicit Congestion Notification) capability. We verify that the proposed E-LSP architecture improves QoS in NGI by using ns2 simulator.

• Journal of KIISE:Information Networking
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• v.30 no.2
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• pp.270-281
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• 2003

ETF made the RFCs of MPLS technologies for providing the QoS of ATM or Frame Relay and the flexibility&scalability of IP on the Internet services. IETF has been expanding MPLS technologies as a common control component for supporting the various switching technologies called GMPLS. Also, IETF has standardized the signaling protocols based on such technologies, such as LDP, CR-LDP and RSVP-TE. ETRI developed the MPLS system based on ATM switch in order to provide more reliable services, differentiated services and value-added services like the VPN and traffic engineering service on the Korea Public Sector network. We are planning on deploying model services and commercial services on that network. This paper explains the basic functions of LDP, design and development of LDP on our system, and compares with LDP development and operation on other MPLS systems made by Cisco, Juniper, Nortel and Riverstone. In conclusion, this paper deduces the future services and applications by LDP through these explanation and comparison.

• Food Science of Animal Resources
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• v.43 no.2
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• pp.232-244
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• 2023

We investigated the effects of different phosphate replacements on the quality of ground pork products cured with sodium nitrite or radish powder to determine their potential for achieving clean-label pork products. The experimental design was a 2×5 factorial design. For this purpose, the ground meat mixture was assigned into two groups, depending on nitrite source. Each group was mixed with 0.01% sodium nitrite or 0.4% radish powder together with 0.04% starter culture, and then processed depending on phosphate replacement [with or without 0.5% sodium tripolyphosphate; STPP (+), STPP (-), 0.5% oyster shell calcium (OSC), 0.5% citrus fiber (CF), or 0.5% dried plum powder (DPP)]. All samples were cooked, cooled, and stored until analysis within two days. The nitrite source had no effect on all dependent variables of ground pork products. However, in phosphate replacement treatments, the STPP (+) and OSC treatments had a higher cooking yield than the STPP (-), CF, or DPP treatments. OSC treatment was more effective for lowering total fluid separation compared to STPP (-), CF, or DPP treatments, but had a higher percentage than STPP (+). The STPP (+) treatment did not differ from the OSC or CF treatments for CIE L^* and CIE a^*. Moreover, no differences were observed in nitrosyl hemochrome content, lipid oxidation, hardness, gumminess, and chewiness between the OSC and STPP (+) treatments. In conclusion, among the phosphate replacements, OSC addition was the most suitable to provide clean-label pork products cured with radish powder as a synthetic nitrite replacer.

• Information Systems Review
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• v.25 no.1
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• pp.47-73
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• 2023

Management decision-making based on artificial intelligence(AI) plays an important role in helping decision-makers. Business decision-making centered on AI is evaluated as a driving force for corporate growth. AI-based on accurate analysis techniques could support decision-makers in making high-quality decisions. This study proposes an effective decision-making method with the application of multi-label feature selection. In this regard, We present a CFS-BR (Correlation-based Feature Selection based on Binary Relevance approach) that reduces data sets in high-dimensional space. As a result of analyzing sample data and empirical data, CFS-BR can support efficient decision-making by selecting the best combination of meaningful attributes based on the Best-First algorithm. In addition, compared to the previous multi-label feature selection method, CFS-BR is useful for increasing the effectiveness of decision-making, as its accuracy is higher.

• Journal of Communications and Networks
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• v.10 no.3
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• pp.351-361
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• 2008

This paper presents a delay-margin based traffic engineering (TE) approach to provide end-to-end quality of service (QoS) in multi-protocol label switching (MPLS) networks using differentiated services (DiffServ) at the link level. The TE, including delay, class, and route assignments, is formulated as a nonlinear optimization problem reflecting the inter-class and inter-link dependency introduced by DiffServ and end-to-end QoS requirements. Three algorithms are used to provide a solution to the problem: The first two, centralized offline route configuration and link-class delay assignment, operate in the convex areas of the feasible region to consecutively reduce the objective function using a per-link per-class decomposition of the objective function gradient. The third one is a heuristic that promotes/demotes connections at different links in order to deal with concave areas that may be produced by a trunk route usage of more than one class on a given link. Approximations of the three algorithms suitable for on-line distributed TE operation are also derived. Simulation is used to show that proposed approach can increase the number of users while maintaining end-to-end QoS requirements.

• Smart Media Journal
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• v.11 no.4
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• pp.38-45
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• 2022

Object detection models have become the current tool of choice for plant disease detection in precision agriculture. Most existing research improves the performance by ameliorating networks and optimizing the loss function. However, the data-centric part of a whole project also needs more investigation. In this paper, we proposed a systematic strategy with three different annotation methods for plant disease detection: local, semi-global, and global label. Experimental results on our paprika disease dataset show that a single class annotation with semi-global boxes may improve accuracy. In addition, we also studied the noise factor during the labeling process. An ablation study shows that annotation noise within 10% is acceptable for keeping good performance. Overall, this data-centric numerical analysis helps us to understand the significance of annotation methods, which provides practitioners a way to obtain higher performance and reduce annotation costs on plant disease detection tasks. Our work encourages researchers to pay more attention to label quality and the essential issues of labeling methods.

• Journal of Fashion Business
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• v.21 no.3
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• pp.1-13
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• 2017

Ralph Rucci, the first American designer who presented official collections at Paris Couture since Mainbocher, is known for his innovative dressmaking techniques and sculptural forms. Accompanied by literature survey, this study examines the aesthetics of Ralph Rucci's designs by content analysis of his works, Rucci's designs since his debut collection of 1994 until he left the Chado Ralph Rucci label in 2014 and his returning collection under the new label, RR331, in 2016. Ralph Rucci developed his creative designs by the following strategies: First, he reinvents the couture tradition of Balenciaga and $Gr{\grave{e}}s$ into progressive and functional American couture in that he gives consideration to a wearer's movements and comforts. Second, Rucci constructs architectural volume based on human anatomy and architectonic strategies, with the attention to three-dimensional quality of the space built between the body and a garment. Third, he conducts engineered construction summarized by his original 'suspension' techniques, which function as both ornamentation and construction.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.436-438
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• 2004

인터넷 서비스에 QoS(Quality of Service)를 제공하면서 IP(Internet Protocol)의 유연성과 확장성을 제공하기 위해 IETF에서는 MPLS(Multiple Protocol Label Switching)기술을 표준화하였다. 또한, MPLS기술의 기본이 되는 시그널링 프로토콜로 LDP(Label Distribution Protocol), CR-LDP(Constrained based LDP). RSVP-TE(Resource Reservation Protocol-Traffic Engineering)의 표준화를 진행해 왔다. 따라서 본 논문에서는 MPLS 기술을 적용하여 현재의 IP망에서 보다 안정적이고 차별화된 서비스를 제공하기 위해 리눅스 상에서 구연한 라우터기반 MPLS 시스템을 제시한다. 본 논문에서 제시하는 라우터 기반 MPLS 시스템은 기존 IP망과의 연동을 위해 MPLS 도메인상의 OSPF데몬을 수정하며, MPLS망에서 명시적 경로를 제어하기 위해 MPLS데몬을 수정한다. 그리고 MPLS데몬과 OSPF데몬은 수정된 Zebra데몬에 의해 스트림 형태로 정보를 교환한다.

• Journal of the Korea Society of Computer and Information
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• v.23 no.9
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• pp.81-86
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• 2018

Software defect severity is very important in projects with limited historical data or new projects. But general software defect prediction is very difficult to collect the label information of the training set and cross-project defect prediction must have a lot of data. In this paper, an unclassified data set with defect severity is clustered according to the distribution ratio. And defect severity-based prediction model is proposed by way of labeling. Proposed model is applied CLAMI in JM1, PC4 with the least ambiguity of defect severity-based NASA dataset. And it is evaluated the value of ACC compared to original data. In this study experiment result, proposed model is improved JM1 0.15 (15%), PC4 0.12(12%) than existing defect severity-based prediction models.