• Asian-Australasian Journal of Animal Sciences
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• 제11권5호
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• pp.620-633
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• 1998

Methods developed for measuring digestibility and availability of amino acids in feedstuffs used in pig nutrition are reviewed. Digestibility is a proportion of an amino acid in a feed that is absorbed from the digestive tract and should be determined from the difference between the amount of amino acid consumed and passing the distal ileum. Techniques for ileal digesta sampling including various types of cannulas: a re-entrant, T-piece, IPV, IPVC and ileaorectal anastomosis are described and comparisons amongst these methods are presented. Other methodologies like mobile bag technique, in vitro assays and mathematical prediction method are also described. Significance and methodologies for measurement of endogenous nitrogen and amino acids losses at the distal ileum and their effect on the apparent and true nitrogen and amino acid digestibilities in feeds are discussed. Factors influencing the apparent and true amino acid digestibilities such as dry matter intake, protein, fibre and antinutritive compounds content in the diet are discussed. Amino acid bioavailability -the proportion of the total amino acid digested and absorbed in a form utilized in metabolism - measured by the growth assay may differ from its ileal digestibility. Chemical methods for determination of available lysine content in heat treated feeds are evaluated.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.677-680
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• 2003

Perceptual landmarks are an effective solution for a mobile robot realizing steady and reliable long distance navigation. But the prerequisite is those landmarks must be detected and recognized robustly at a higher speed under various lighting conditions. This made image processing more complicated so that its speed and reliability can not be both satisfied at the same time. Color based target detection technique can separate target color regions from non-target color regions in an image with a faster speed, and better results were obtained only under good lighting conditions. Moreover, in the case that there are other things with a target color, we have to consider other target features to tell apart the target from them. Such thing always happens when we detect a target with its single character. On the other hand, we can generally search for only one target for each time so that we can not make use of landmarks efficiently, especially when we want to make more landmarks work together. In this paper, by making use of the moment invariants of each landmark, we can not only search specified target from separated color region but also find multi-target at the same time if necessary. This made the finite landmarks carry on more functions. Because moment invariants were easily used with some low level image processing techniques, such as color based target detection and gradient runs based target detection etc, and moment invariants are more reliable features of each target, the ratio of target detection were improved. Some necessary experiments were carried on to verify its robustness and efficiency of this method.

• 한국멀티미디어학회논문지
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• 제23권7호
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• pp.870-882
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• 2020

It is that failure of equipment at the factory site causes personal injury and property damage. We are required a real-time monitoring and risk forecasting techniques to prevent for equipment failure. In this paper, we proposed a 3-phase smart plug and real-time monitoring system that can be used in factories, and collected environmental information and power information using a smart plug to analyze the data. In order to analyze the correlation between the risk situation and the collected data, we predicted the risk situation using Linear Regression, SVM, and ANN algorithms. As a result, the SVM and ANN algorithms obtained high predictive accuracy and developed a mobile app that could use it to check the risk forecast results.

• 디지털융복합연구
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• 제10권10호
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• pp.465-473
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• 2012

모바일 기기와 클라우드 컴퓨팅 기술의 도입은 N 스크린 서비스와 같은 새로운 콘텐츠 서비스를 가능하게 하였다. 새로운 콘텐츠 서비스 환경을 위하여 상호운용성과 다중 플랫폼(multi-platform)을 지원하는 DRM(digital rights management) 기술들이 개발되고 있으나 아직까지 콘텐츠 서비스 가입 변경에 의한 콘텐츠의 이동이나 지원 단말의 구매 등 여러 면에서 사용자에게 불편함을 초래하고 있다. 본 논문에서는 가입 서비스와 상관없이 콘텐츠의 자유로운 이동을 지원하고 사용자가 소유한 다양한 스마트 기기에서 DRM이 적용된 콘텐츠를 자유롭게 사용할 수 있도록 클라우드 컴퓨팅 기반의 DRM 서비스 모델로써 DRMaaS(DRM-as-a-Service) 모델을 제안한다.

• 대한전자공학회논문지TC
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• 제48권2호
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• pp.72-78
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• 2011

물체의 위치정보는 많은 응용분야에 매우 유용한 요소를 제공한다. 현재 GPS가 이를 위하여 일반화되어 있으나, GPS의 실내측위, 비용 및 전력소모 등의 한계성을 극복하기 위해 최근 이동통신 망, 무선 센서 망 및 ad hoc 네트워크를 이용한 무선 측위 기술에 대한 연구가 활발한 진행되고 있다. 따라서 본고에서는 무선망에서 구현이 가능한 대표적인 무선 측위 기술들을 조사하고 이들의 측위 원리와 성능을 연구자료 들을 토대로 분석하였다. 결론적으로, 무선 측위 기술의 선택은 측위환경, 정확도, 소요시간, 계산 양, 구현의 용이성 등의 설계요소로부터 응용분야에 가장 적합한 요소들을 고려하여야 하겠다.

• 대한임베디드공학회논문지
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• 제3권4호
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• pp.229-234
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• 2008

The 'Anytime, Anywhere' services have been the biggest topic in the recent digital broadcasting research area. The related applications for the Anytime and Anywhere Services are as follows: the personalized broadcasting based on the PVR (Personal Video Recorder) for the Anytime Services, and the DMB (Digital Multimedia Broadcasting), the mobile devices supporting the wireless network and the Second TV and so on for the anywhere services. The personalized broadcasting has been researched on the one of the killer applications in the various broadcasting environment - the ground wave broadcasting, the satellite broadcasting, IPTV and CATV broadcasting suchlike. The applied contents of the personalized broadcasting have advanced from the main contents for the broadcasting to the interstitial contents like advertisements and coupons, the personalized interstitial broadcasting needs to develop the technology about the generation, storing and management of the interstitial metadata. but, the personalized broadcasting has the limitation that the TV environment is somewhat difficult to support the personalized broadcasting individually, because all family usually share the main TV at home. The Second TV is possible to solve the environmental limitation. This paper designs and develops the static set top box at home, the Second TV and their multimedia streaming techniques for the personalized broadcasting of the contents including the interstitial contents.

• ETRI Journal
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• 제40권3호
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• pp.318-329
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• 2018

Femtocell (FC) technology envisaged as a cost-effective approach to attain better indoor coverage of mobile voice and data service. Deployment of FCs over macrocell forms a heterogeneous network. In urban areas, the key factor limits the successful deployment of FCs is inter-cell interference (ICI), which severely affects the performance of victim users. Autonomous FC transmission power setting is one straightforward way for coordinating ICI in the downlink. Application of intelligent control using soft computing techniques has not yet explored well for wireless networks. In this work, autonomous FC transmission power setting strategy using Adaptive Neuro Fuzzy Inference System is proposed. The main advantage of the proposed method is zero signaling overhead, reduced computational complexity and bare minimum delay in performing power setting of FC base station because only the periodic channel measurement reports fed back by the user equipment are needed. System level simulation results validate the effectiveness of the proposed method by providing much better throughput, even under high interference activation scenario and cell edge users can be prevented from going outage.

• 제어로봇시스템학회논문지
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• 제21권4호
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• pp.378-384
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• 2015

Indoor localization is becoming one of the most important technologies for smart mobile applications with different requirements from conventional outdoor location estimation algorithms. Fingerprinting location estimation techniques based on neural networks have gained increasing attention from academia due to their good generalization properties. In this paper, we propose a novel location estimation algorithm based on an ensemble of multiple neural networks. The neural network ensemble has drawn much attention in various areas where one neural network fails to resolve and classify the given data due to its' inaccuracy, incompleteness, and ambiguity. To the best of our knowledge, this work is the first to enhance the location estimation accuracy in indoor wireless environments based on a neural network ensemble using fingerprinting training data. To evaluate the effectiveness of our proposed location estimation method, we conduct the numerical experiments using the TGn channel model that was developed by the 802.11n task group for evaluating high capacity WLAN technologies in indoor environments with multiple transmit and multiple receive antennas. The numerical results show that the proposed method based on the NNE technique outperforms the conventional methods and achieves very accurate estimation results even in environments with a low number of APs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권6호
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• pp.2861-2880
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• 2018

Mobile Ad hoc Networks (MANETs) have become a viable platform owing to their potential of providing communication without any pre-existing infrastructure and central administrating authority. Mutual support and co-operation among nodes are prerequisites for performing functions in such networks. The scarcity of resources makes it economical for nodes to conserve their resources and misbehave by avoiding participation in the network. Therefore, a mechanism is required to detect and handle such misbehaving nodes and promote co-operation in the network. Existing techniques for handling misbehaving nodes focus only on their current behaviour without considering the antecedent behaviour of nodes. In real world, a node may dynamically change its behaviour in accordance to its requirements. Hence, an efficient mechanism is required for providing security against such misbehaviour. This paper proposes an Adaptive Security Model which contemplates the present as well as anterior behaviour of nodes for providing security against dynamic node behaviour. The adaptivity of the model is nested in its ability to requite well-behaving nodes and penalize misbehaving ones in conformity with their overall behaviour. Simulation results indicate the efficiency of proposed scheme in securing the network from the menace of dynamic behaviour of nodes.

• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 2003년도 추계학술대회논문집
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• pp.97-100
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• 2003

Globally, the various machine components, as in electronics and communications, are demanded to being high-performance and micro-scale with abrupt development of the fields of computers, mobile communications. As this current tendency, production of the parts that must have high accuracy, so called milli-structure, are accomplished by the method of top-down, differently as in the techniques of MEMS, NANO. But, in the case of milli-structure, production procedure is highly costs, difficult and demands more accurate dimension than the conservative forming, processing technique. In this paper, forming analysis of the micro-former as the milli-structure are performed and then calculate the punch force etc. This information calculated is applied to decide the forming capacity of micro-former and design the process of forming stage, dimension of dies in another forming bodies. And, for the better precise forming analysis, elasto-plastic analysis is to be performed, then the consideration about effect of elastic recovery when punch and die are unloaded, have to be discussed in change of dimensions.