• Korean Journal of Poultry Science
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• v.38 no.1
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• pp.29-35
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• 2011

An experiment was conducted to investigate the effects of dietary supplementation of a silicate mineral (D Lite) on growth performance, nutrient retention, carcass characteristics and meat quality in broiler chicks. A total of 640 broiler chicks were randomly allotted to four dietary treatments in a randomized complete block design. Each treatment had four replicates comprising 40 broilers in each replicate. Dietary treatments were as follows: control (0% D Lite), and diets supplemented with 0.15%, 0.30% and 0.45% of D Lite. The starter and finisher diets were fed from d 0 to 21 and d 21 to 35, respectively. Body weight gain during starter (p<0.05), finisher (p=0.057) and overall (p<0.001) experimental period and feed intake (p<0.05) during starter period decreased quadratically with increasing dietary D Lite levels. The birds fed 0.15% D Lite showed the greatest (p<0.05) overall weight gain, feed intake and retention of gross energy and calcium. There were no differences (p>0.05) in carcass characteristics, organ weights and breast meat composition. However, as the level of D Lite was increased in the diet there was a linear decrease in the TBARS values of breast meat (p<0.05) at d 12 of storage. These results suggest that D Lite supplementation at the level of 0.15% is shown to be effective in improving performance and nutrient retention in broilers.

• Journal of Institute of Control, Robotics and Systems
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• v.17 no.7
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• pp.651-658
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• 2011

An efficient modified $D^*$ lite algorithm is suggested, which can perform online path planning for mobile robots in dynamic indoor environment. Online path planning should plan and execute alternately in a short time, and hence it enables the robot avoid unknown dynamic obstacles which suddenly appear on robot's path. Based on $D^*$ Lite algorithm, we improved representation of edge cost, heuristic function, and priority queue management, to build a modified $D^*$ Lite algorithm. Performance of the proposed algorithm is revealed via extensive simulation study.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.1078-1079
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• 2023

해양 분야에서의 정보기술 발전으로 선박 자율운항의 중요성이 증대되고 있다. 이에 선박 자율운항기술의 핵심인 경로 계획에는 그리드 기반 알고리즘이 주목을 받고 있다. 본 논문은 D* Lite 알고리즘을 선박자율운항에 적합하게 조정한 D* Opt 알고리즘을 소개하며, 기존 알고리즘과의 경로 비용 및 생성 시간을 비교 분석하여 성능을 확인한다. 이를 통해서 D* Opt 알고리즘이 선박 자율 운항경로 핵심기술로 응용 가능성과 기대효과를 제시한다.

• Journal of Information Technology Services
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• v.16 no.2
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• pp.111-127
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• 2017

Computing Performance, sensor, storage, memory, and network costs have been steadily declining, and IoT services have recently become more active. The Internet of Things is linked with Big Data to create new business, and public institutions and corporations are hurry to import Internet of things. As the importance of the Internet of things has increased, the number of devices supporting the IoT has rapidly increased. With the development of the Internet of Things, various types of Internet services are being developed. For this reason, there is an increasing demand for IoT service designers and developers for IoT service case automatic search technology. IoT service designers can avoid duplication with existing services through service case retrieval and developers can save cost and time by combining existing reusable service equipment. This paper proposes IoT-Lite ontology for IoT and Semantic Web service to solve the above-mentioned problems. The existing ontologies for IoT, despite its many advantages, are not widely used by developers because it has not overcome the relatively slow drawbacks of increasing complexity and searching for development. To complement this, this study uses the IoT-Lite ontology introduced by W3C as a model and a semantic web service for automatic system retrieval. 3D camera, GPS, and 9-axis sensor, and IoT-Lite designed by IoT-Lite technique are integrated with the semantic technique and implemented directly.

• Journal of Aerospace System Engineering
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• v.14 no.5
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• pp.9-17
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• 2020

Mobile robots, including UAVs perform missions with limited fuel. Therefore, the energy-aware path planning is required to maximize efficiency when the robot is operated for a long time. In this study, we estimated the power consumption for each maneuver of a quadcopter UAV in the 3D environment and applied to the cost functions of D^⁎ Lite. The simulations were performed in a 3D environment that is similar to the industrial sites. The efficiency of path generation was high when the energy-aware path planning with simplified heuristic was applied. In addition, the energy-aware path was generated 19.3 times faster than the shortest path with a difference within 3.2%.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.47 no.5
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• pp.379-387
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• 2019

The complexity of path planning for visiting multiple mission points is even larger than that of single pair path planning. Deciding a path for visiting n mission points requires conducting $n^2+n$ times of single pair path planning. We propose Multiple Mission $D^*$ Lite($MMD^*L$) which is an optimal path planning algorithm for visiting multiple mission points in dynamic environments. $MMD^*L$ reduces the complexity by reusing the computational data of preceding single pair path planning. Simulation results show that the complexity reduction is significant while its path optimality is not compromised.

• Nuclear Engineering and Technology
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• v.51 no.3
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• pp.825-836
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• 2019

One of the most challenging safety precautions for workers in dynamic, radioactive environments is avoiding radiation sources and sustaining low exposure. This paper presents a sampling-based algorithm, DL-RRT*, for minimum dose walk-path re-planning in radioactive environments, expedient for occupational workers in nuclear facilities to avoid unnecessary radiation exposure. The method combines the principle of random tree star ($RRT^*$) and $D^*$ Lite, and uses the expansion strength of grid search strategy from $D^*$ Lite to quickly find a high-quality initial path to accelerate convergence rate in $RRT^*$. The algorithm inherits probabilistic completeness and asymptotic optimality from $RRT^*$ to refine the existing paths continually by sampling the search-graph obtained from the grid search process. It can not only be applied to continuous cost spaces, but also make full use of the last planning information to avoid global re-planning, so as to improve the efficiency of path planning in frequently changing environments. The effectiveness and superiority of the proposed method was verified by simulating radiation field under varying obstacles and radioactive environments, and the results were compared with $RRT^*$ algorithm output.

• The KIPS Transactions:PartD
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• v.13D no.1 s.104
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• pp.51-60
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• 2006

Product Line Engineering(PLE) is an effective software development technique which produces applications using core assets. Because of reusing the core assets, PLE can save cost for developing products in a domain but increase reusability. There are about ten PLE methodologies available, but there are not yet common agreements on PLE process and artifacts. This makes developers harder to choose a methodology and to apply it in practice. A comprehensive technical evaluation and comparison on existing PLE methodologies would be essential for practitioners. In this paper, we present a technical assessment of representative PLE methodologies; FAST, SEI SPL, PuLSE, Bosch's PL proceis, FOPLE, ESAPS, KobrA/PoLITe, Alexandria, COPA, QADA. They are compared in the criteria of process, artifacts, instructions, and special features. And we identify common or variable elements between methodologies and confirm elements to be improved in each PLE methodology. The assessment result would be well utilized in defining a practical methodology for PLE projects and in choosing an appropriate methodology among available ones.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.11a
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• pp.215-216
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• 2020

Optical Flow는 컴퓨터 비전 분야의 많은 응용기술에 사용된다. 객체 탐지, 추적, 연속 영상 보간, 3D Reconstruction과 같은 최근에 활발히 연구되는 여러 분야에서 사용되는 기반 기술이다. 최근 딥러닝을 기반으로 한 다양한 연구가 활발히 진행되어 왔으며 높은 정확도를 보이고 있다. 이런 분야들은 많은 경우에 실시간 시스템에 적용되어 이미지로부터 정보를 연산한다. 본 논문은 MaskFlownet, SelFlow, LiteFlowNet2 등과 같은 높은 정확도를 가진 신경망 네트워크로 추정된 Optical Flow를 살펴본다. 각 신경망 네트워크로 얻어진 정확도를 비교하고 디스플레이 기술과 이미지 센서 기술의 발전으로 사용 수요가 많아진 고화질의 이미지를 실시간으로 처리하는 경우, 적용 가능한 Optical Flow의 성능을 분석하였다.

• Journal of Pharmacopuncture
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• v.4 no.3
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• pp.47-57
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• 2001

Objective: This study is performed for the purpose of examining into the efficacy of the scolopendrid(Scolopendra morsitans L) which has been used among the Korean people for the H.I.V.D of lumbar spine. Methods & Results: Using the herbal acupuncture made of scolopendrid(Scolopendra morsitans L), we treated the 10 H.l. V.D patients for 1 week and operated 4 pre and post treatment test ; D.I.T.I, 6 kind of physical test, Oswestry disability index, and self-conscious pain rate. Trough Lite test, we saw 50-100% of efficacy rate in each test. Otherwise, only 5 of the 7 point in D.I.T.I and self-conscious pain rate showed statistically valuable change. Conclusion: we brought to the conclusion that the scolopendrid herbal acupuncture has possibility to be efficient to cure the H.I.V.D patients. So we suggest the possibility to use this new remedy for the H.I.V.D.