• Animal Bioscience
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• v.36 no.11
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• pp.1700-1708
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• 2023

Objective: The objective of this study was to determine the effects of β-mannanase on metabolizable energy (ME) and apparent total tract digestibility (ATTD) of protein in various feedstuffs including barley, copra meal, corn, corn distillers dried grains with solubles (DDGS), palm kernel meal, sorghum, and soybean meal. Methods: A basal diet was formulated with 94.8% corn and 0.77% amino acids, minerals, and vitamins and test diets replacing corn-basal diets with barley, corn DDGS, sorghum, soybean meal, or wheat (50%, respectively) and copra meal or palm kernel meal (30%, respectively). The basal diet and test diets were evaluated by using triplicated or quadruplicated 2×2 Latin square designs consisting of 2 diets and 2 periods with a total of 54 barrows at 20.6±0.6 kg (9 wk of age). Dietary treatments were levels of β-mannanase supplementation (0 or 800 U/kg of feed). Fecal and urine samples were collected for 4 d following a 4-d adaptation period. The ME and ATTD of crude protein (CP) in feedstuffs were calculated by a difference procedure. Data were analyzed using Proc general linear model of SAS. Results: Supplementation of β-mannanase improved (p<0.05) ME of barley (10.4%), palm kernel meal (12.4%), sorghum (6.0%), and soybean meal (2.9%) fed to growing pigs. Supplementation of β-mannanase increased (p<0.05) ATTD of CP in palm kernel meal (8.8%) and tended to increase (p = 0.061) ATTD of CP in copra meal (18.0%) fed to growing pigs. Conclusion: This study indicates that various factors such as the structure and the amount of β-mannans, water binding capacity, and the level of resistant starch vary among feedstuffs and the efficacy of supplemental β-mannanase may be influenced by these factors.

• Convergence Security Journal
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• v.1 no.1
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• pp.9-20
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• 2001

In the 3rd Wave of information revolution, technical research & development for more rapid and safe information exchange take a sudden turn currently According to a step up in importance and efficiency value of information, it's necessary to research technical development in various field altogether. Especially information security is the very core of essential technology. However most System attacks are based on the weakness of OS, it is difficult to achieve the security goal in the only application level. For the solution of this problem, so many technology researches to serve secure, trust information security in OS itself are activated. Consequently we introduce the tendency of current secure OS development projects of security kernel all over world in this report and inquire into security mechanism of the File Griffin which prevents file system forgery, modification perfectly by performing digital signature certificate on kernel level.

• Journal of Information Processing Systems
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• v.14 no.1
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• pp.176-190
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• 2018

This paper presents a novel convolutional neural network based multi-feature fusion learning method for non-rigid 3D model retrieval, which can investigate the useful discriminative information of the heat kernel signature (HKS) descriptor and the wave kernel signature (WKS) descriptor. At first, we compute the 2D shape distributions of the two kinds of descriptors to represent the 3D model and use them as the input to the networks. Then we construct two convolutional neural networks for the HKS distribution and the WKS distribution separately, and use the multi-feature fusion layer to connect them. The fusion layer not only can exploit more discriminative characteristics of the two descriptors, but also can complement the correlated information between the two kinds of descriptors. Furthermore, to further improve the performance of the description ability, the cross-connected layer is built to combine the low-level features with high-level features. Extensive experiments have validated the effectiveness of the designed multi-feature fusion learning method.

• Proceedings of the KIEE Conference
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• 2003.11c
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• pp.673-676
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• 2003

In this paper, we designed the embedded system used for wireless LAN communication. Embedded system kernel is made from general linux kernel 2.4.18 by applying the ARM patch (2.4.18-rmk7) and the SA1100 patch(2.4.18-rmk7), then porting board level suitable to target system. The SA-1110 PCMCIA interface provides controls for one PCMCIA card slot with a PSKTSEL pin for support of a second slot. The embedded system requires external logic to complete the PCMCIA socket interface. For dual-voltage support, level shifting buffers are required for all SA-1110 input signals. Hot insertion capability requires that each socket be electrically isolated from each other, and from the remainder of the memory system. embedded system is for socket services approaching PCMCIA socket, detecting number of sockets, sensing insertion and removal, and applying power. It also provides interface with Card services. Embedded system supports Host driver for lucent chips that is installed orinoco driver cross compiled. The meaning can say that is doing wireless LAN communication through wireless LAN in imbedded system.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11c
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• pp.2227-2230
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• 2002

본 논문에서는 WWW을 이용한 전자상거래 환경(B2B, B2C, 등)에서 기업간(시스템 사이) 원활한 업무 협조와 just-in-time 서비스를 구현할 수 있도록, 능동 데이터베이스 기법을 이용한 전자상거래 시스템의 능동 kernel을 제안한다. 능동 커널은 고수준(high level)의 규칙 프로그래밍 언어(ECA rule)를 제공하므로 응용 프로그램과는 독립적으로 기업간 업무협조(coordination)와 사건 기반의 just-in-time 서비스를 구현할 수 있다. 따라서 시스템 관리자 및 프로그래머는 전자상거래 시스템간 조정 기능 구현과 유지보수를 쉽게 할 수 있다. 또한, 본 논문에서 제안하는 능동 커널은 기업의 방화벽(fire-wall)을 통해서도 적용될 수 있도록 HTTP 프로토콜을 이용하므로, platform 독립적인 구현을 통하여 기업간 시스템의 보안 유지와 독립성을 보장할 수 있다.

• Journal of the Korean Data and Information Science Society
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• v.25 no.4
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• pp.941-949
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• 2014

Unit level logistic regression model with mixed effects has been used for estimating small area proportions, which treats the spatial effects as random effects and assumes linearity between the logistic link and the covariates. However, when the functional form of the relationship between the logistic link and the covariates is not linear, it may lead to biased estimators of the small area proportions. In this paper, we relax the linearity assumption and propose two types of kernel-based logistic regression models for estimating small area proportions. We also demonstrate the efficiency of our propose models using simulated data and real data.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.11a
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• pp.73-76
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• 2018

A Gaussian noise is caused by surrounding environment or channel interference when transmitting image. The noise reduces not only image quality degradation but also high-level image processing performance. The Non-Local Means (NLM) filter finds similarity in the neighboring sets of pixels to remove noise and assigns weights according to similarity. The weighted average is calculated based on the weight. The NLM filter method shows low noise cancellation performance and high complexity in the process of finding the similarity using weight allocation and neighbor set. In order to solve these problems, we propose an algorithm that shows an excellent noise reduction performance by using Summed Square Image (SSI) to reduce the complexity and applying the weighting function based on a cosine Gaussian kernel function. Experimental results demonstrate the effectiveness of the proposed algorithm.

• Asian-Australasian Journal of Animal Sciences
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• v.31 no.3
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• pp.395-402
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• 2018

Objective: An experiment was conducted to evaluate effects of inclusion level of palm kernel meal (PKM) and adaptation duration on the digestible energy (DE) and apparent total tract digestibility (ATTD) of chemical constituents in diets fed to growing-finishing pigs. Methods: Thirty crossbred barrows ($Duroc{\times}Landrace{\times}Large\;White$) with an average initial body weight of $85.0{\pm}2.1kg$ were fed 5 diets in a completely randomized design. The diets included a corn-soybean meal basal diet and 4 additional diets in which corn and soybean meal were partly replaced by 10%, 20%, 30%, or 40% PKM. After 7 d of adaptation to the experimental diets, feces were collected from d 8 to 12, d 15 to 19, d 22 to 26, and d 29 to 33, respectively. Results: The DE and ATTD of gross energy (GE), dry matter (DM), ash, organic matter (OM), neutral detergent fiber (NDF), acid detergent fiber (ADF), and crude protein (CP) in diets decreased linearly as the dietary PKM increased within each adaptation duration (p<0.01). Diet containing 19.5% PKM had less DE value and ATTD of all detected items compared with other diets when fed to pigs for 14 days (p<0.05). The ATTD of CP in PKM calculated by 19.5% and 39.0% linearly increased as adaptation duration prolonged from 7 to 28 days (p<0 .01). Conclusion: Inclusion level of PKM and adaptation duration had an interactive effect on DE and the ATTD of GE, DM, OM, and CP (p<0.01 or 0.05) but ash, NDF, and ADF in diet (p>0.05). Considering a stable determination, 21 days of adaptation to a diet containing 19.5% PKM is needed in pigs and a longer adaptation time is recommended as dietary PKM increases.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.5B
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• pp.295-303
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• 2005

Recently, according to the rapid increase of Web users, various kinds of Web applications have been being developed. Hence, Web QoS(Quality of Service) becomes a critical issue in the Web services, such as e-commerce, Web hosting, etc. Nevertheless, most Web servers currently process various requests from Web users on a FIFO basis, which can not provide differentiated QoS. This paper presents a load balancing method to provide differentiated Web QoS in clustering web server. The first is the kernel-level approach, which is adding a real-time scheduling process to the operating system kernel to maintain the priority of user requests determined by the scheduling process of Web server. The second is the load-balancing approach, which uses IP-level masquerading and tunneling technology to improve reliability and response speed upon user requests. The third is the dynamic load-balancing approach, which uses the parameters related to the MIB-II of SNMP and the parameters related to load of the system such as memory and CPU.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.1
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• pp.413-435
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• 2018

Although the accuracy of handwritten character recognition based on deep networks has been shown to be superior to that of the traditional method, the use of an overly deep network significantly increases time consumption during parameter training. For this reason, this paper took the training time and recognition accuracy into consideration and proposed a novel handwritten character recognition algorithm with newly designed network structure, which is based on an extended nonlinear kernel residual network. This network is a non-extremely deep network, and its main design is as follows:(1) Design of an unsupervised apriori algorithm for intra-class clustering, making the subsequent network training more pertinent; (2) presentation of an intermediate convolution model with a pre-processed width level of 2;(3) presentation of a composite residual structure that designs a multi-level quick link; and (4) addition of a Dropout layer after the parameter optimization. The algorithm shows superior results on MNIST and SVHN dataset, which are two character benchmark recognition datasets, and achieves better recognition accuracy and higher recognition efficiency than other deep structures with the same number of layers.