• International Journal of Fuzzy Logic and Intelligent Systems
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• v.3 no.1
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• pp.127-132
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• 2003

This paper proposes a wrapper generation method for collecting comparative shopping information from various Internet shopping malls. The proposed method is a kind of supervised learning method to learn wrappers from sample web pages along with information locations designated by the administrators. It generates wrappers expressed in the form of generalized tags sequences and frame filling procedures for semi-structured web pages. The paper also presents how to use the learned wrappers and describes a prototype system which implemented the proposed ideas and methods.

• International Journal of Computer Science & Network Security
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• v.21 no.5
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• pp.129-132
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• 2021

Two feature selection approaches are analyzed in this study. First Approach used in this paper is Filter Approach which comprises of correlation technique. It provides two reduced feature sets using positive and negative correlation. Secondly Approach used in this paper is the wrapper approach which comprises of Sequential Forward Selection technique. The reduced feature set obtained by positive correlation results comprises of Rate of Acceleration, Intensity and Formant. The reduced feature set obtained by positive correlation results comprises of Rasta PLP, Log energy, Log power and Zero Crossing Rate. Pitch, Rate of Acceleration, Log Power, MFCC, LPCC is the reduced feature set yield as a result of Sequential Forwarding Selection.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.44-47
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• 2023

SYCL은 C++을 기반으로 하는 언어로 가속기를 사용하는 복잡한 과정을 C++의 특징 중의 하나인 추상화를 사용해 개발자가 쉽게 접근할 수 있게 한다. 그러나, 가속기를 활용하는 측면에서는 성능을 최대한으로 끌어내기 위해 저수준 접근도 필요하다. 특히, NVLink와 같이 효율적인 멀티-GPU 통신을 해주는 인터커넥션 링크 활용을 위해서도 필요하다. 본 논문에서는 SYCL 구현물 중의 하나인 AdaptiveCpp을 가지고 NVLink로 연동된 멀티 GPU 환경에서 효율적으로 프로그래밍을 할 수 있는 방법을 제안하고, SYCL 개발자들이 SYCL의 설계 철학을 따라 프로그래밍을 할 수 있도록 이러한 기능을 추상화하여 담은 MPI wrapper API를 제안한다.

• Journal of KIISE:Software and Applications
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• v.31 no.4
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• pp.447-456
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• 2004

Information extraction is a process of recognizing and fetching particular information fragments from a document. In order to extract information uniformly from many heterogeneous information sources, it is necessary to produce information extraction rules called a wrapper for each source. Previous methods of information extraction can be categorized into manual wrapper generation and automatic wrapper generation. In the manual method, since the wrapper is manually generated by a human expert who analyzes documents and writes rules, the precision of the wrapper is very high whereas it reveals problems in scalability and efficiency In the automatic method, the agent program analyzes a set of example documents and produces a wrapper through learning. Although it is very scalable, this method has difficulty in generating correct rules per se, and also the generated rules are sometimes unreliable. This paper tries to combine both manual and automatic methods by proposing a new method of learning information extraction rules. We adopt the scheme of supervised learning in which a user-interface agent is designed to get information from the user regarding what to extract from a document, and eventually XML-based information extraction rules are generated through learning according to these inputs. The interface agent is used not only to generate new extraction rules but also to modify and extend existing ones to enhance the precision and the recall measures of the extraction system. We have done a series of experiments to test the system, and the results are very promising. We hope that our system can be applied to practical systems such as information-mediator agents.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.415-417
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• 2005

레거시 시스템을 컴포넌트화 하기 위해 시스템을 서브 시스템으로 계층화하고, 각각의 서브 시스템을 객체 기반으로 변형한 후, 래퍼(Wrapper)를 이용하여 컴포넌트화 한다. 이런 절차 중 Wrapper컴포넌트를 도출하는 방법 중 UML Component방법론을 사용, 컴포넌트 도출 중 여러 핵심타입(Core Type) 객체가 하나의 객체와 연관관계를 가지고 있는 경우 경험이나 직관을 최소화하여 의존성을 최소할 수 있는 개선된 컴포넌트 도출방법을 제안한다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.340-342
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• 2003

컴포넌트는 서드파티(third-party)소스코드 형태로 배포되지 않는 등 여러 가지 요인으로 인해 테스트가능성(testability)이 낮아지게 된다. 이렇게 낮은 테스트가능성으로 인하여 개발된 컴포넌트가 실제로 재사용되었을 때 테스트에 많은 어려움이 따르게 된다. 이러한 테스트가능성을 향상시키기 위한 방법으로서 컴포넌트에 테스트를 위한 래퍼(wrapper)를 적용할 수 있다. 본 연구에서는 테스트가능성을 향상시키기 위한 방법인 래퍼를 설계하고 구현하는 방법에 대한 연구를 수행하였다.

• The KIPS Transactions:PartD
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• v.10D no.3
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• pp.367-374
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• 2003

A mediator-wrapper system, which is one of integration methods of heterogeneous databases, preserves a virtual integrated view rather than physical movement of the contents of each database. In order for a mediator to preserve a virtual integrated view, it requires the schema manager of the wrapper which communicates with local databases. This paper presents a schema manager of a wrapper that provides a mediator with XML schema which is generated from relational database schema. The XML schema manager supports a user-defined XML view. We present the view tree model which is used for materializing the use-defined XML view to generate XML schema, and the conversion algorithm based on the proposed view tree model. This model is can be uniformly applied to all schema managers of heterogeneous information sources.

• Journal of Intelligence and Information Systems
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• v.7 no.2
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• pp.51-63
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• 2001

In supervised machine learning, an induction algorithm, which is able to extract rules from data with learning capability, provides a useful tool for data mining. Practical induction algorithms are known to degrade in prediction accuracy and generate complex rules unnecessarily when trained on data containing superfluous features. Thus it needs feature subset selection for better performance of them. In feature subset selection on the induction algorithm, wrapper method is repeatedly run it on the dataset using various feature subsets. But it is impractical to search the whole space exhaustively unless the features are small. This study proposes a heuristic method that uses sensitivity analysis of neural networks to the wrapper method for generating rules with higher possible accuracy. First it gives priority to all features using sensitivity analysis of neural networks. And it uses the wrapper method that searches the ordered feature space. In experiments to three datasets, we show that the suggested method is capable of selecting a feature subset that improves the performance of the induction algorithm within certain iteration.

• The KIPS Transactions:PartB
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• v.17B no.4
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• pp.309-316
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• 2010

This paper introduces a new model based method for facial expression recognition that uses facial grid angles as feature space. In order to be able to recognize the six main facial expression, proposed method uses a grid approach and therefore it establishes a new feature space based on the angles that each gird's edge and vertex form. The way taken in the paper is robust against several affine transformations such as translation, rotation, and scaling which in other approaches are considered very harmful in the overall accuracy of a facial expression recognition algorithm. Also, this paper demonstrates the process that the feature space is created using angles and how a selection process of feature subset within this space is applied with Wrapper approach. Selected features are classified by SVM, 3-NN classifier and classification results are validated with two-tier cross validation. Proposed method shows 94% classification result and feature selection algorithm improves results by up to 10% over the full set of feature.

• Korean Journal of Agricultural Science
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• v.47 no.1
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• pp.43-58
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• 2020

Mulching plastic is used for the purpose of maintaining soil temperature, moisture, and weed and pest prevention in agriculture. Any remaining plastic after use may contaminate the soil and damage crop growth. To solve this problem, mulching plastic wrappers have been studied and developed, but the actual use rate is quite low due to their poor performance and frequent tearing of the plastic on the field. In this study, we developed a tractor attachable mulching plastic wrapper to minimize the tearing of the mulched plastic. The developed mulching plastic wrapper consists of hydraulic motors and pumps, valves, a microcontroller, and sensors. The collecting speed of the plastic mulch was calculated considering the tractor's travel speed and the radius of the collecting drum. A proportional controller was designed to control the rotating speed of the hydraulic motor as the plastic was wound around the collection drum and the radius increased. The performance of an indoor experiment was quite promising because the difference between the collecting speed predicted by the calculation and the actual collecting speed was 2.71 rpm. Based on a field verification test, the speed difference was max. 14.28 rpm; thus, the, proportional integral derivative (PID) controller needs to be considered to control the drum speed precisely. Another issue was found when the soil covered at the edge of the plastic was hardened or the road surface was uneven, the speed control was unstable, and the plastic was torn. In future research, vibrational plows will be equipped to break-up the harden soil for collecting the plastic smoothly.