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Ensemble Gene Selection Method Based on Multiple Tree Models

  • Mingzhu Lou
    • Journal of Information Processing Systems
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    • v.19 no.5
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    • pp.652-662
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    • 2023
  • Identifying highly discriminating genes is a critical step in tumor recognition tasks based on microarray gene expression profile data and machine learning. Gene selection based on tree models has been the subject of several studies. However, these methods are based on a single-tree model, often not robust to ultra-highdimensional microarray datasets, resulting in the loss of useful information and unsatisfactory classification accuracy. Motivated by the limitations of single-tree-based gene selection, in this study, ensemble gene selection methods based on multiple-tree models were studied to improve the classification performance of tumor identification. Specifically, we selected the three most representative tree models: ID3, random forest, and gradient boosting decision tree. Each tree model selects top-n genes from the microarray dataset based on its intrinsic mechanism. Subsequently, three ensemble gene selection methods were investigated, namely multipletree model intersection, multiple-tree module union, and multiple-tree module cross-union, were investigated. Experimental results on five benchmark public microarray gene expression datasets proved that the multiple tree module union is significantly superior to gene selection based on a single tree model and other competitive gene selection methods in classification accuracy.

Evaluation Method of College English Education Effect Based on Improved Decision Tree Algorithm

  • Dou, Fang
    • Journal of Information Processing Systems
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    • v.18 no.4
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    • pp.500-509
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    • 2022
  • With the rapid development of educational informatization, teaching methods become diversified characteristics, but a large number of information data restrict the evaluation on teaching subject and object in terms of the effect of English education. Therefore, this study adopts the concept of incremental learning and eigenvalue interval algorithm to improve the weighted decision tree, and builds an English education effect evaluation model based on association rules. According to the results, the average accuracy of information classification of the improved decision tree algorithm is 96.18%, the classification error rate can be as low as 0.02%, and the anti-fitting performance is good. The classification error rate between the improved decision tree algorithm and the original decision tree does not exceed 1%. The proposed educational evaluation method can effectively provide early warning of academic situation analysis, and improve the teachers' professional skills in an accelerated manner and perfect the education system.

Cost Effectiveness Depending on the Native Tree Treatment Methods (개발예정지 내 자생수목 처리방법에 따른 비용 연구)

  • Cho, Heung-Ryeol;Kim, Se-Bin;Oh, Dokyo
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.12 no.6
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    • pp.51-62
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    • 2009
  • The purpose of this study is to analyze the profitability by selecting Pinus densiflora S. et Z. worthy of ornamental tree from among the cutting timber in the urban development project, and then presents the improvements. The study site is the whole area of Oedong-eup Gyeongju city Gyeongsangbuk-do and subject trees numbers are 2,180 trees. Analysis method is cost analysis because it is used generously pubic land development. In results, at first, in case of forest development currently cutting tree costs 7.3 million Won/ha. and no profit is occurred at all. Secondly, the forward direction order of tree treatments expenses are in sawdust production, selling lumber, selling ornamental tree, and selling ornamental tree, sawdust production, selling lumbered on the aspect of profits by the selling stumpage. Especially, selling trees as ornamental tree costs 127 million Won/ha. which shows the highest profits. Third, the management of ornamental tree pine tree after transplantation from development site costs 5 times less than purchasing the same quality trees. Hence, it is recommended to re-utilize the trees from the development sites to produce a high standard gardens and it also provides the basis for the low carbon green growth society.

Analysis of the Actual Condition of the Tree Doctor Qualification Test and Improvement of the System - Focus on the First Test - (나무의사 자격시험의 실태분석과 제도개선 방안 - 제1차 시험을 중심으로 -)

  • Yong Jo Jung;Hak Cheol Kim
    • Journal of Environmental Science International
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    • v.32 no.1
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    • pp.11-24
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    • 2023
  • This study aimed to provide preliminary data for the improvement of the tree doctor qualification test (first written test), which was newly created by enforcing the Forest Protection Act on June 28, 2018., The high demand for system improvement accelerated this study. The results were analyzeds through literature and questionnaire surveys. Writing test questions and the license of the tree doctor qualification exam are currently managed by the Korea Forestry Research Institute, and it is deemed that the test should be entrusted to Human Resources Development Service of Korea for fair and transparent management. Additionally, the plan for the improvement of the subject-wise scope of examination questions writing, difficulty of test questions, and acceptance rate of the first test should be prepared after public hearings or seminars related to the examination questions.

Application of Decision Tree Algorithm for Automating Public Survey Performance Review (공공측량 성과심사 자동화를 위한 결정트리 알고리즘의 적용)

  • Mi-Jin Hyeon;Cheol Jin;Myung-Jin Park;Hyun Choi
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.2_2
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    • pp.333-341
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    • 2024
  • The current public survey performance review extracts samples according to the set screening ratio, and examines the extracted samples to determine the suitability or inadequacy of the survey performance. The examiner directly judges the survey performance submitted by the performer, and extracts it in consideration of various field conditions and topography for each subject. However, it is necessary to secure fairness in the examination as it is extracted with different extraction methods for each subject and the judgment of the examiner. Accordingly, in order to automate sampling for public survey performance review, the detailed sampling criteria of the reviewer were investigated to prepare a volume calculation table, and the automation of sampling using Python was studied. In addition, by reviewing items that can and cannot be automated, the application of the automated decision tree algorithm of sampling was reviewed.

The typd of service and virtual destination node based multicast routing algorithm in ATM network (ATM 통신망에서의 서비스 유형과 경로 충첩 효과를 반영한 멀티캐스트 라우팅 알고리즘)

  • 양선희
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.11
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    • pp.2886-2896
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    • 1996
  • The Type of Service based multicast routing algorithm is necessary to support efficiently herogeneous applications in ATM network. In this paper I propose the Constrained Multicast Tree with Virtual Destination(DMTVD) heuristic algorithm as least cost multicast routing algorithm. The service is categorized into two types, as delay sensitive and non in CMTVD algorithm. For the delay sensitive service type, the cost optimized route is the Minimum Cost Stenier Tree connecting all the destination node group, virtual destination node group and source node with least costs, subject to the delay along the path being less than the maximum allowable end to end delay. The other side for the non-delay sensitive service, the cost optimized route is the MCST connecting all the multicast groups with least costs, subject to the traffic load is balanced in the network. The CMTVD algorithm is based on the Constrained Multicasting Tree algorithm but regards the nodes branching multiple destination nodes as virtural destination node. The experimental results show that the total route costs is enhanced 10%-15% than the CTM algorithm.

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Multiple Inheritance and English Locative Inversion

  • Chung, Chan
    • Language and Information
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    • v.5 no.1
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    • pp.55-71
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    • 2001
  • One of the controversial issues in English locative inversion (LI) construction( e. g. Under the tree sat a woman) has been the functional status of preverbal PP and postverbal NP, i.e. whether they are a subject, a complement, or filer (topic) Based on the distributional parallelisms between the PP and NP on the one hand and an ordinary subject and filler on the other this paper proposes that the PP has a dual function as a subject and filler, while the NP also has some subject properties that the PP does not have These mixed functional properties are analyzed in the theory of HPSG expecially with the versions recently developed by Sag(1997) Manning and Sag(1999) and Ginzburg and Sag(to appear). This analysis claims that the LI construction needs to satisfy two general, independent constraints head-subject- phrase and head-filler-phrase. This position suggests that the English LI construction is an instance of the peripheral phenomena whose construction specific constraint is inherited from more general core constraints. (Dongseo University)

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Performance Analysis of Tree-based Indexing Scheme for Trajectories Processing of Moving Objects (이동객체의 궤적처리를 위한 트리기반 색인기법의 성능분석)

  • Shim, Choon-Bo;Shin, Yong-Won
    • Journal of the Korean Association of Geographic Information Studies
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    • v.7 no.4
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    • pp.1-14
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    • 2004
  • In this study, we propose Linktable based on extended TB-Tree(LTB-Tree) which can improve the performance of existing TB (Trajectory-Bundle)-tree proposed for indexing the trajectory of moving objects in GIS Applications. In addition, in order to evaluate proposed indexing scheme, we take into account as follows. At first, we select existing R*-tree, TB-tree, and LTB-tree as the subject of performance evaluation. Secondly, we make use of random data set and real data set as experimental data. Thirdly, we evaluate the performance with respect to the variation of size of memory buffer by considering the restriction of available memory of a given system. Fourth, we test them by using the experimental data set with a variation of data distribution. Finally, we think over insertion and retrieval performance of trajectory query and range query as experimental measures. The experimental results show that the proposed indexing scheme, LTB-tree, gains better performance than traditional other schemes with respect to the insertion and retrieval of trajectory query.

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On the Prospect Angle and Preference factors in Jungja which has Artificially Constructed Pond. (인공지를 갖춘 정자에 있어서 조망각도와 선호요인에 관하여)

  • 김용수;이재화
    • Journal of the Korean Institute of Landscape Architecture
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    • v.17 no.2
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    • pp.1-14
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    • 1989
  • The purpose of this study was to develop the principle of space composition in Jungja of a category of korean traditional space. The results which analyzed outside space, prospect angle and preference factors for landscape with making, Jungja which has artificially constructed pond within Gyeongbug province, the subject of study were as fellows ; Size of pond was quite different in each Jungja, and its form was retangular. There was built circle island or figured ten-long life within pond. These pursued harmony of the cosmic dual force or eternal youth. Average angle of depression and horizontal angle from floor of Jungja to pond were respectively 16$^{\circ}$ 23', 48$^{\circ}$ 26'. Average angle of depression to island in pond was 13$^{\circ}$28'. Average angle of depression from floor of Jungia to wall was 2$^{\circ}$58'. With controlling height of wall, there was maintained privacy and used borrowed landscape. Tree within garden was mainly planted a deciduous tall tree, the important species of tree were bamboo, pomegranate tree, crape myrtle, etc. Variables that gave influence on landscape preference degree were things about tree and pond. On prospecting pond, these variables-feeling for shore protection, impression for water, visual depth to pond feeling for shore protection, impression for water, visual depth to pond-gave Largely influences.

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Individual-based Competition Analysis for Secondary Forest in Northeast China

  • Li, Fengri;Chen, Dongsheng;Lu, Jun
    • Journal of Korean Society of Forest Science
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    • v.97 no.5
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    • pp.501-507
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    • 2008
  • The data of crown width with 4 directions, DBH, tree height, and coordinate for sample trees were collected from 30 permanent sample plots in secondary fore st of the Maoershan Experimental Forestry Farm, Northeast China. In this paper, the competition of individual trees in stand were discussed for secondary forest by using iterative Hegyi competition index and crown overlap index that represented the competitive and cooperative interactions among neighboring trees. Active competitors of subject tree in the competition zone were selected to calculate the iterative competition index. Using the results of crown classification based on the equal crown projection area, a new distance dependent competition index called crown overlap index (COI) was developed for secondary forest. The COI performed well in describing the crown competition rather than crown competition factor (CCF). The individual-based competition index discussed in this paper will provide more precise for developing individual tree growth models for secondary forest and it can also use to adjust the stand structure for spatial optimal management.