• Geomechanics and Engineering
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• v.36 no.2
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• pp.111-119
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• 2024

In the realm of rock excavation projects, precise estimation of the drilling rate index stands as a pivotal factor in strategic planning and cost assessment. This study introduces and evaluates two pioneering computational intelligence models designed for the prognostication of the drilling rate index, a pivotal parameter with direct implications for cost estimation in rock excavation projects. These models, denoted as the Relevance Vector Regression (RVR) optimized with the Invasive Weed Optimization algorithm (IWO) (RVR-IWO model) and the RVR integrated with the Shuffled Frog Leaping algorithm (SFL) (RVR-SFL model), represent a groundbreaking approach to forecasting drilling rate index. The RVR-IWO and RVR-SFL models were meticulously devised to harness the capabilities of computational intelligence and optimization techniques for drilling rate index estimation. This research pioneers the integration of IWO and SFL with RVR, constituting an unprecedented effort in forecasting drilling rate index. The primary objective of this study was to gauge the precision and dependability of these models in forecasting the drilling rate index, revealing significant distinctions between the two. In terms of predictive precision, the RVR-IWO model emerged as the superior choice when compared to the RVR-SFL model, underscoring the remarkable efficacy of the Invasive Weed Optimization algorithm. The RVR-IWO model delivered noteworthy results, boasting a Variance Account for (VAF) of 0.8406, a Mean Squared Error (MSE) of 0.0114, and a Squared Correlation Coefficient (R²) of 0.9315. On the contrary, the RVR-SFL model exhibited slightly lower precision, yielding an MSE of 0.0160, a VAF of 0.8205, and an R2 of 0.9120. These findings serve to highlight the potential of the RVR-IWO model as a formidable instrument for drilling rate index prediction, particularly within the framework of rock excavation projects. This research not only makes a significant contribution to the realm of drilling engineering but also underscores the broader adaptability of the RVR-IWO model in tackling an array of challenges within the domain of rock engineering. Ultimately, this study advances the comprehension of drilling rate index estimation and imparts valuable insights into the practical implementation of computational intelligence methodologies within the realm of engineering projects.

• Quality Improvement in Health Care
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• v.9 no.1
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• pp.66-73
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• 2002

The current health care system demands provisions for patient care in perspectives of a cost-effectiveness and patient satisfaction. Critical pathway implementation facilitates optimal sequencing and intervention timing of patient care, and makes medical team and patients participate in a treatment actively. In this study, a critical pathway was developed and implemented to patients with osmidrosis who undertake operation. Sixty patients were included in the study. The critical pathway was implemented for care of 26 patients while the traditional care was implemented for 34 patients. In the critical pathway implemented group, time needed for charting and unessential working was reduced. Mean time amount of time for patient nursing was increased. The critical pathway implementation is an effective method to utilize time of medical team. Also it increases the satisfaction index of patients and medical team simultaneously.

• Korean Management Science Review
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• v.20 no.2
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• pp.1-16
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• 2003

Previous research on data extraction and integration for data warehousing has concentrated mainly on the relational DBMS or partly on the object-oriented DBMS. Mostly, it describes issues related with the change data (deltas) capture and the incremental update by using the triggering technique of active database systems. But, little attention has been paid to data extraction approaches from other types of source systems like hierarchical DBMS, etc. and from source systems without triggering capability. This paper argues, from the practical point of view, that we need to consider not only the types of information sources and capabilities of ETT tools but also other factors of source systems such as operational characteristics (i.e., whether they support DBMS log, user log or no log, timestamp), and DBMS characteristics (i.e., whether they have the triggering capability or not, etc), in order to find out appropriate data extraction techniques that could be applied to different source systems. Having applied several different data extraction techniques (e.g., DBMS log, user log, triggering, timestamp-based extraction, file comparison) to S bank's source systems (e.g., IMS, DB2, ORACLE, and SAM file), we discovered that data extraction techniques available in a commercial ETT tool do not completely support data extraction from the DBMS log of IMS system. For such IMS systems, a new date extraction technique is proposed which first creates Index database and then updates the data warehouse using the Index database. We illustrates this technique using an example application.

• Journal of Environmental Policy
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• v.10 no.1
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• pp.151-173
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• 2011

Whenever several natural disasters hit Korea with huge damage of property loss and death toll, government spends huge sums of money for rehabilitation of devastated areas every year. It's time to discuss about a natural disaster insurance, which is a long-term as well as precautionary measure. It is advisable to discuss government involvement through the natural disaster insurance, implementation of countermeasures against natural disasters. The natural disasters insurance have to executed as follows, 1) introducing natural disaster insurance with characteristics of social welfare, which makes fast recovery and anxiety reduction in the low-income bracket. 2) advisable to mix the methods of microinsurance including the natural disaster and index insurance.

• Transportation Technology and Policy
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• v.10 no.2
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• pp.81-91
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• 2013

• Asia pacific journal of information systems
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• v.16 no.1
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• pp.127-144
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• 2006

The K-means algorithm is widely used at the initial stage of data analysis in data mining process, partly because of its low time complexity and the simplicity of practical implementation. Cluster validity indices are used along with the algorithm in order to determine the number of clusters as well as the clustering results of datasets. In this paper, we present a performance comparison of sixteen indices, which are selected from forty indices in literature, while considering their applicability to nonhierarchical clustering algorithms. Data sets used in the experiment are generated based on multivariate normal distribution. In particular, four error types including standardization, outlier generation, error perturbation, and noise dimension addition are considered in the comparison. Through the experiment the effects of varying number of points, attributes, and clusters on the performance are analyzed. The result of the simulation experiment shows that Calinski and Harabasz index performs the best through the all datasets and that Davis and Bouldin index becomes a strong competitor as the number of points increases in dataset.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.23-24
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• 2006

We present a dispersive scheme of white-light interferometry that enables not only to perform tomographical measurements of thin-film layers but also to measure a refractive index without mechanical depth scanning. The interferometry is found useful particularly for in-situ 3-D inspection of micro-engineered surfaces such as liquid crystal displays, semi-conductor and MEMS structure, which requires for high-speed implementation of 3-D surface metrology.

• Journal of the Korean Society for Precision Engineering
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• v.21 no.7
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• pp.115-123
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• 2004

This paper deals with the gait optimization of via points on biped robot. ZMP(Zero Moment point) is the most important index in a biped robot's dynamic walking stability. To stable walking of a biped robot, leg's trajectory and a desired ZMP trajectory is required, balancing motion is solved by FDM(Finite Difference Method). In this paper, optimal index is defined to dynamically stable walking of a biped robot, and genetic algorithm is applied to optimize gait trajectory and balancing motion of a biped robot. By genetic algorithm, the index of walking parameter is efficiently optimized, and dynamic walking stability is verified by ZMP verification equation. Genetic algorithm is only applied to balancing motion, and is totally applied to whole trajectory. All of the suggested motions of biped robot are investigated by simulations and verified through the real implementation.

• The Transactions of the Korea Information Processing Society
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• v.6 no.10
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• pp.2574-2586
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• 1999

Since a SGML document is composed of elements, the primitive unit of information, SGML information retrieval should support retrieval on element as well as document. In addition, SGML index organization should support the partial insertion and deletion of document for the dynamic environment. For this, we propose a SGML index organization suited to structured-based retrieval for dynamic environment. Based on the proposed index organization, we design a SGML index manager to support content-based and structure-based retrieval efficiently. We implement the SGML index manager based on O2 storage system and compare the performance of our SGML index manager with the conventional SGML index manager. According to the performance comparison, it is shown that the proposed index structure achieves better retrieval performance than the conventional K-ary complete tree.

• Land and Housing Review
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• v.9 no.4
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• pp.1-9
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• 2018

Since year 2000, French housing and rent prices rose at a rapid rate and the housing market has been overheated. Face to this phenomena, the French government enacted a new law Alur which is a legislatif tool to control the private housing rent price for the cities, where the tension of the housing market is very high. This new law has impacted the housing market in two major ways. First, for the 38 cities designated by this law, the rent price's increase rate can not rise above the IRL, which is the rent reference index. Secondly, this law also permits local authorities to control the housing rent's price following the concrete price guidance. Especially in Paris, the city applicated this method for private rental housing since 2015. This city classified its own area by 14 zones. Based on the market surveys of each sector, local authority made a guidance for private housing rent's price. The guideline is consisted of average prices, maxima and minima price by types, which is classified by the construction year, number of rooms and furnished or not. Therefore, this study aims to understand french housing rent's price control system and draw implementation for korean housing rent policies. This research is meaningful for it introduces recent foreign regislations which could be helpful to control the housing market in Korea.