• Title/Summary/Keyword: Space Diversity Combining

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Developing an Ensemble Classifier for Bankruptcy Prediction (부도 예측을 위한 앙상블 분류기 개발)

  • Min, Sung-Hwan
    • Journal of Korea Society of Industrial Information Systems
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    • v.17 no.7
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    • pp.139-148
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    • 2012
  • An ensemble of classifiers is to employ a set of individually trained classifiers and combine their predictions. It has been found that in most cases the ensembles produce more accurate predictions than the base classifiers. Combining outputs from multiple classifiers, known as ensemble learning, is one of the standard and most important techniques for improving classification accuracy in machine learning. An ensemble of classifiers is efficient only if the individual classifiers make decisions as diverse as possible. Bagging is the most popular method of ensemble learning to generate a diverse set of classifiers. Diversity in bagging is obtained by using different training sets. The different training data subsets are randomly drawn with replacement from the entire training dataset. The random subspace method is an ensemble construction technique using different attribute subsets. In the random subspace, the training dataset is also modified as in bagging. However, this modification is performed in the feature space. Bagging and random subspace are quite well known and popular ensemble algorithms. However, few studies have dealt with the integration of bagging and random subspace using SVM Classifiers, though there is a great potential for useful applications in this area. The focus of this paper is to propose methods for improving SVM performance using hybrid ensemble strategy for bankruptcy prediction. This paper applies the proposed ensemble model to the bankruptcy prediction problem using a real data set from Korean companies.

Performance Analysis of Pilot Symbol Assisted QAM (PSA-QAM) with Power Amplifiers Nonlinear Compensation Technique (전력증폭기 비선형 보상 기술을 고려한 PSA-QAM의 성능분석)

  • 이병로;임영회;임동민;이광석;김현덕
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.2 no.2
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    • pp.249-258
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    • 1998
  • In land mobile communication, very extensive studies on pilot symbol assisted modulation (PSAM) have been made on fading compensation. This paper analyzes the effect of power amplifier nonlinearity on PSA-QAM with maximal ratio combining space diversity. In practical PSAM, information on fading is obtained through interpolation of the pilot symbols. We employed the interpolation filter which could minimize the average power of error and analyzed effects on the system performance of the number of filter taps, period of the pilot symbol frame, and the Doppler frequency. Nonlinear power amplifiers of class AB, B, and C were incorporated in the system models and their AM/AM and AM/PM characteristics were taken into account in the performance analysis. We showed the performance variations according to the types of the nonlinear power amplifiers in the AWGN and Rayleigh fading channels using nonlinear compensation technique, Cartesian Feedback Loop (CFB).

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A Study on Spatial Composition and Expression of Carlo Scarpa's Museum - Focused on Museography of Museo di Castelvecchio - (카를로 스카르파의 뮤지엄에 나타난 공간 구성과 표현에 관한 연구 - 카스텔베키오 뮤지엄의 뮤제오그래피 중심으로 -)

  • Lee, Kyung-Jin
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.36 no.5
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    • pp.3-10
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    • 2020
  • According to Carol Duncan, the museum can be studied in the aspect of space and object from viewer experience. The paradigm of modern museums is shifting away from the object toward the human. The modern museum begins to have the diversity activities and the experience by the body. The purpose of this study is to analyze methods of Carlo Scarpa's museum works. An Italian architect, Carlo Scarpa had characterized montage architecture through fragments and isolations. This study reviews the works of Carlo Scarpa's museum focused on Museo di Castelvecchio. Carlo Scarpa had left the existing materials and coated it with new materials intentionally. This method makes the layer and it exposes the historical times. The layer is a reinterpreting technic of Venetian architecture. The perceptive experience appears at the exhibition boundary through light, material, pattern, axis, and composition of elements. Through the analysis, the architecture of Carlo Scarpa's museum provides a walking path and the composition of exhibition objects with visual logics. It makes and show us the experience with combining images. Carlo Scarpa had tried to expose the past times in the architecture of museum with expression on the layers and to connect the body's movements with seeing and gazing. This expression makes possible the perceptual experience. It can be understood as the montage characteristic. Through this, Carlo Scarpa's museum makes us relationship with historical architecture. Carlo Scarpa had planned a exhibitional promenade in the architecture of museums. In this regard, this is the museography of Carlo Scarpa's museums that should be paid attention to modern times in historical architecture.

Robust Wireless Sensor and Actuator Network for Critical Control System (크리티컬한 제어 시스템용 고강건 무선 센서 액추에이터 네트워크)

  • Park, Pangun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.11
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    • pp.1477-1483
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    • 2020
  • The stability guarantee of wireless network based control systems is still challenging due to the lossy links and node failures. This paper proposes a hierarchical cluster-based network protocol called robust wireless sensor and actuator network (R-WSAN) by combining time, channel, and space resource diversity. R-WSAN includes a scheduling algorithm to support the network resource allocation and a control task sharing scheme to maintain the control stability of multiple plants. R-WSAN was implemented on a real test-bed using Zolertia RE-Mote embedded hardware platform running the Contiki-NG operating system. Our experimental results demonstrate that R-WSAN provides highly reliable and robust performance against lossy links and node failures. Furthermore, the proposed scheduling algorithm and the task sharing scheme meet the stability requirement of control systems, even if the controller fails to support the control task.

A Study on the Prediction of Disc Cutter Wear Using TBM Data and Machine Learning Algorithm (TBM 데이터와 머신러닝 기법을 이용한 디스크 커터마모 예측에 관한 연구)

  • Tae-Ho, Kang;Soon-Wook, Choi;Chulho, Lee;Soo-Ho, Chang
    • Tunnel and Underground Space
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    • v.32 no.6
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    • pp.502-517
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    • 2022
  • As the use of TBM increases, research has recently increased to to analyze TBM data with machine learning techniques to predict the exchange cycle of disc cutters, and predict the advance rate of TBM. In this study, a regression prediction of disc cutte wear of slurry shield TBM site was made by combining machine learning based on the machine data and the geotechnical data obtained during the excavation. The data were divided into 7:3 for training and testing the prediction of disc cutter wear, and the hyper-parameters are optimized by cross-validated grid-search over a parameter grid. As a result, gradient boosting based on the ensemble model showed good performance with a determination coefficient of 0.852 and a root-mean-square-error of 3.111 and especially excellent results in fit times along with learning performance. Based on the results, it is judged that the suitability of the prediction model using data including mechanical data and geotechnical information is high. In addition, research is needed to increase the diversity of ground conditions and the amount of disc cutter data.

A Study on the Characteristics and Management Plan of Old Big Trees in the Sacred Natural Sites of Handan City, China (중국 한단시 자연성지 내 노거수의 특성과 관리방안)

  • Xi, Su-Ting;Shin, Hyun-Sil
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.41 no.2
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    • pp.35-45
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    • 2023
  • First, The spatial distribution characteristics of old big trees were analyzed using ArcGIS figures by combining basic information such as species and ages of old big trees in Handan City, which were compiled by the local bureau of landscaping. The types of species, distribution by ages of trees, ownership status, growth status, and diversity status were comprehensively analyzed. Statistically, Styphnolobium, Acacia, Gleditsia, and Albizia of Fabaceae accounted for the majority, of which Sophora japonica accounted for the highest proportion. Sophora japonica is widely and intensively distributed to each prefecture and district in Handan city. According to the age and distribution, the old big trees over 1000 years old were mainly Sophora japonica, Zelkova serrata, Juniperus chinensis, Morus australis Koidz., Dalbergia hupeana Hance, Ceratonia siliqua L., and Pistacia chinensis, and Platycladus orientalis. Second, as found in each type of old big tree status, various types of old big tree status were investigated, the protection management system, protection management process, and protection management benefits were studied, and the protection of old big tree was closely related to the growth environment. Currently, the main driving force behind the protection of old big trees is the worship of old big trees. By depositing its sacredness to the old big tree and sublimating the natural character that nature gave to the old big tree into a guiding consciousness of social activities, nature's "beauty" and personality's "goodness" are well combined. The protection state of the old big tree is closely related to the degree of interaction with the surrounding environment and the participation of various cultures and subjects. In the process of continuously interacting with the surrounding environment during the long-term growth of old big trees, it seems that a natural sanctuary was formed around old big trees in the process of voluntarily establishing a "natural-cultural-scape" system involving bottom-up and top-down cross-regions, multicultural and multi-subjects. Third, China focused on protecting and recovering old big trees, but the protection management system is poor due to a lack of comprehensive consideration of historical and cultural values, plant diversity significance, and social values of old big trees in the management process. Three indicators of space's regional characteristics, property and protection characteristics, and value characteristics can be found in the evaluation of the natural characteristics of old giant trees, which are highly valuable in terms of traditional consciousness management, resource protection practice, faith system construction, and realization of life community values. A systematic management system should be supported as to whether they can be protected and developed for a long time. Fourth, as the perception of protected areas is not yet mature in China, "natural sanctuary" should be treated as an important research content in the process of establishing a nature reserve system. The form of natural sanctuary management, which focuses on bottom-up community participation, is a strong supplement to the current type of top-down nature reserve management in China. Based on this, the protection of old giant trees should be included in the form of a nature reserve called a natural monument in the nature reserve system. In addition, residents of the area around the nature reserve should be one of the main agents of biodiversity conservation.