• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.32 no.4
• /
• pp.72-78
• /
• 2009

Reverse logistics is the process of planning and controlling the recovery flow of end of life products. Industry is increasingly being confronted with the need to solve several reverse logistics issues because of not only stringent environmental legislations but also economic reasons. Recently, thanks to the advent of emerging technologies, such as RFID, enhancing the productivity of reverse logistics operations has been highlighted. The application of RFID technology is going beyond forward logistics, which is the delivery of manufactured goods to consumers, and being expanded, though not frequently yet, to reverse logistics, which includes return, recovery, reuse, reproduction and disposal. However, it requires a deep insight for the research of reverse logistics and new environment. In this regard, we studied effectiveness by applying RFID middleware technology to reverse logistics.

• Biotechnology and Bioprocess Engineering:BBE
• /
• v.10 no.5
• /
• pp.400-407
• /
• 2005

Reverse engineering is defined as the process where the internal structures and dynamics of a given system are inferred and analyzed from external observations and relevant knowledge. The first part of this paper surveys existing techniques for biosystem reverse engineering. Network structure inference techniques such as Correlation Matrix Construction (CMC), Boolean network and Bayesian network-based methods are explained. After the numeric and logical simulation techniques are briefly described, several representative working software tools were introduced. The second part presents our component-based software architecture for biosystem reverse engineering. After three design principles are established, a loosely coupled federation architecture consisting of 11 autonomous components is proposed along with their respective functions.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2014.11a
• /
• pp.849-852
• /
• 2014

Reverse engineering of gene regulatory network is a challenging task in computational biology. To detect a regulatory relationship among genes from time series data is called reverse engineering. Reverse engineering helps to discover the architecture of the underlying gene regulatory network. Besides, it insights into the disease process, biological process and drug discovery. There are many statistical approaches available for reverse engineering of gene regulatory network. In our paper, we propose pairwise mutual information for the reverse engineering of a gene regulatory network from time series data. Firstly, we create random boolean networks by the well-known $Erd{\ddot{o}}s-R{\acute{e}}nyi$ model. Secondly, we generate artificial time series data from that network. Then, we calculate pairwise mutual information for predicting the network. We implement of our system on java platform. To visualize the random boolean network graphically we use cytoscape plugins 2.8.0.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.11 no.4
• /
• pp.1931-1953
• /
• 2017

The reverse skyline query plays an important role in information searching applications. This paper deals with continuous reverse skyline queries in sensor networks, which retrieves reverse skylines as well as the set of nodes that reported them for continuous sampling epochs. Designing an energy-efficient approach to answer continuous reverse skyline queries is non-trivial because the reverse skyline query is not decomposable and a huge number of unqualified nodes need to report their sensor readings. In this paper, we develop a new algorithm that avoids transmission of updates from nodes that cannot influence the reverse skyline. We propose a data mapping scheme to estimate sensor readings and determine their dominance relationships without having to know the true values. We also theoretically analyze the properties for reverse skyline computation, and propose efficient pruning techniques while guaranteeing the correctness of the answer. An extensive experimental evaluation demonstrates the efficiency of our approach.

• Proceedings of the Safety Management and Science Conference
• /
• 1999.11a
• /
• pp.565-574
• /
• 1999

In reverse engineering area, it is rapidly developing reconstruction of surfaces from scanning or digitizing data, but geometric models of existing objects unavailable many industries. This paper describes new methodology of reverse engineering area, good strategies and important algorithms in reverse engineering area. Furthermore, proposing reconstruction of surface technique is presented. A method find base geometry and blending surface between them. Each based geometry is divided by triangular patch which are compared their normal vector for face grouping. Each group is categorized analytical surface such as a part of the cylinder, the sphere, the cone, and the plane that mean each based geometry surface. And then, each based geometry surface is implemented infinitive surface. Infinitive average surface's intersections are trimmed boundary representation model reconstruction. This method has several benefits such as the time efficiency and automatic functional modeling system in reverse engineering. Especially, it can be applied 3D scanner and 3D copier.

• Journal of KIBIM
• /
• v.5 no.4
• /
• pp.23-29
• /
• 2015

The purpose of this study is to provide considerations for developing reverse engineering guidelines for AEC(Architecture, Engineering and Construction). The reverse engineering is a methodology which has the purpose of extracting and recognizing geometries and properties from physical objects such as buildings, facilities, terrain and infrastructure including roads, bridges, and tunnels. To handle them for the purpose of construction management, maintenance, and operation, we should know the exact position, orientation, and dimension of the objects including their properties. As the viewpoint of the information extraction from reverse engineering, it is necessary to derive consideration factors for developing reverse engineering guidelines.

• Korean Journal of Computational Design and Engineering
• /
• v.8 no.3
• /
• pp.133-140
• /
• 2003

This paper describes a Multi-step Digitizing Method and Reverse Model generation algorithm for improvement of reverse engineering accuracy. Reverse engineering is the process of reproducing computational model by directly extracting geometric information on the physical objects. For the improvement of measuring data accuracy, we propose a multi-step digitizing method. First, measuring cloud-of-point by use of a laser scanning system. Second, gathering digitizing data by a scanning touch probe. Fine digitizing plan generated from coarse surface model directly from the cloud-of-point and it allows CMM more accurate scanning data. Finally in this paper we propose the algorithm of generating NURB surface from more accurate measuring points.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2004.10a
• /
• pp.194-197
• /
• 2004

This paper is to develop of 3D reverse engineering equipment. The existing equipment didn't use in the field popularly as it is too expensive. So in this study, we build the reverse engineering system of simple construction using a LM guide and a laser sensor. Therefore we measured product using this equipment, this result compared with the CAD date.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2003.06a
• /
• pp.1776-1779
• /
• 2003

This research presents Reverse Engineering of a Impeller. The modeling introduced in this paper adopts polynomial regression that is utilizing approximating technique. The measured data are obtained from measuring with Coordinate Measuring Machine. This paper introduces efficient methods of Reverse Engineering using Polynomial Regression.

• The Journal of Korean Institute for Practical Engineering Education
• /
• v.3 no.2
• /
• pp.63-68
• /
• 2011

This study proposes a new educational approach to basic engineering education using reverse-engineering. A freshmen level engineering coursework provided by the University, 'Engineering Design', is to deliver the understanding of the general relationship between their major and its adjacent engineering fields. Students are to understand the identity of their major fields through this effort. There are some limitations, however, to achieving these educational objectives by providing lectures in a classroom environment or practical experience because of the broad nature of the subject. A new educational approach on 'Engineering Design' has been implemented for past five years to achieve this goal using reverse-engineering techniques and this paper describes it in detail.