• Title/Summary/Keyword: feature ranking

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An Asymmetrical Realization of Nasal-Obstruent Clusters in English

  • Chung, Chin-Wan
    • English Language & Literature Teaching
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    • v.15 no.2
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    • pp.51-70
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    • 2009
  • This study focuses on the asymmetrical realization of homorganic nasal-obstruent stop clusters in English when they occur word medially and word finally. This uneven realization of NC clusters is not only controlled by the place of articulation of the cluster constituents but also by the agreement of voicing feature specifications of the cluster elements. We propose context-sensitive constraints, which are more specified versions than *NC (Pater, 1996, 1999, 2004). The result of the study reveals that homorganic NC clusters consisting of coronal place feature are faithfully realized word finally while they are constrained word medially. The deletion of voiceless post-nasal coronal stop should be considered a new language specific strategy to avoid *NC.

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Design of Advanced HITS Algorithm by Suitability for Importance-Evaluation of Web-Documents (웹 문서 중요도 평가를 위한 적합도 향상 HITS 알고리즘 설계)

  • 김분희;한상용;김영찬
    • The Journal of Society for e-Business Studies
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    • v.8 no.2
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    • pp.23-31
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    • 2003
  • Link-based search engines generate the rank using linked information of related web-documents . HITS(Hypertext Internet Topic Search), representative ranking evaluation algorithm using a special feature of web-documents based on such link, evaluates the importance degree of related pages from linked information and presents by ranking information. Problem of such HITS algorithm only is considered the link frequency within documents and depends on the set of web documents as input value. In this paper, we design the search agent based on better HITS algorithm according to advanced suitability between query and search-result in the set of given documents from link-based web search engine. It then complements locality of advanced search performance and result.

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Generalization of the Stream Network by the Geographic Hierarchy of Landform Data (지형자료의 계층화를 이용한 하계망 일반화)

  • Kim Nam-Shin
    • Journal of the Korean Geographical Society
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    • v.40 no.4 s.109
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    • pp.441-453
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    • 2005
  • This study aims to generalize the stream network developing algorithm of the geographic hierarchy Stream networks with hierarchy system should be spatially hierarchized in linear features. The generalization procedure of the stream networks are composed of the hierarchy of stream, selection and elimination, and algorithm. Working of stream networks is composed by the decision of direction on stream networks, ranking of stroke segments, and ordering by the strahler method, using geographic data query for controlling selection and elimination of the linear feature by scale. Improved Simoo algorithm was effective in enhancement and decreasing curvature of linear features. Resultantly, it is expected to improve generalization of features with various spatial hierarchy.

Image Retrieval by Important Feature Weighting for Each Class (영상 클레스별 중요 특징 가중에 의한 영상 검색 방법)

  • Yoo, Donggeun;Park, Chaehoon;Choi, Yukyung;Kweon, In So
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.04a
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    • pp.382-385
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    • 2012
  • 이 논문에서는 영상 검색(image retrieval) 및 영상 부류(image categorization)을 위하여 영상을 기술할 때 영상의 클레스(class)별로 서로 다른 주요 특징량(feature)에 가중치 를 주는 방법론을 제안한다. 기존에 연구되어온 영상의 특징량 벡터에 가중치를 주는 방식은 모든 영상 클레스에 대하여 동일하게 가중치를 적용하기 때문에 영상이 클레스별로 서로 다른 특징량이 중요하다는 성질을 이용할 수 없다. 영상이 클레 별로 서로 다른 특징량이 중요하다는 성질을 이용하기 위하여 영상의 클레스별로 특징량 벡터에 서로 다른 가중치 벡터(weight vector)를 학습하였다. 그 후 질의 영상(query image)이 입력되면, 기존의 영상 검색 프레임워크(framework)를 통해 데이터베이 스(database)로 부터 미리 정의된 서브 클레스(sub-class)의 수에 해당하는 영상부 집합(subset)을 만들었다. 그리고 영상부 집합의 특징량 벡터들에 클레스별로 각각 학습된 가중치 벡터를 적용하여 특징량 벡터들 간의 거리를 다시 계산하여 리랭킹(re-ranking)하였다. 이 방법론을 UKBench Dataset에 적용하여 실험을 해보았으며 가중치를 주기 전과 비교 하였을 때 더 높은 정확도를 보였다.

Ranking Tag Pairs for Music Recommendation Using Acoustic Similarity

  • Lee, Jaesung;Kim, Dae-Won
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.15 no.3
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    • pp.159-165
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    • 2015
  • The need for the recognition of music emotion has become apparent in many music information retrieval applications. In addition to the large pool of techniques that have already been developed in machine learning and data mining, various emerging applications have led to a wealth of newly proposed techniques. In the music information retrieval community, many studies and applications have concentrated on tag-based music recommendation. The limitation of music emotion tags is the ambiguity caused by a single music tag covering too many subcategories. To overcome this, multiple tags can be used simultaneously to specify music clips more precisely. In this paper, we propose a novel technique to rank the proper tag combinations based on the acoustic similarity of music clips.

A Study on the Prediction of Community Smart Pension Intention Based on Decision Tree Algorithm

  • Liu, Lijuan;Min, Byung-Won
    • International Journal of Contents
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    • v.17 no.4
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    • pp.79-90
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    • 2021
  • With the deepening of population aging, pension has become an urgent problem in most countries. Community smart pension can effectively resolve the problem of traditional pension, as well as meet the personalized and multi-level needs of the elderly. To predict the pension intention of the elderly in the community more accurately, this paper uses the decision tree classification method to classify the pension data. After missing value processing, normalization, discretization and data specification, the discretized sample data set is obtained. Then, by comparing the information gain and information gain rate of sample data features, the feature ranking is determined, and the C4.5 decision tree model is established. The model performs well in accuracy, precision, recall, AUC and other indicators under the condition of 10-fold cross-validation, and the precision was 89.5%, which can provide the certain basis for government decision-making.

Feature analysis and ranking prediction of music suspected of being abused (사재기 의혹 음원 특징 분석과 순위 예측)

  • Cheong, Hae Rin;Kim, Do Young;Jeong, Hyeon Jeong;Kim, Seong Gyeong;Kim, Hyeon Hee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.05a
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    • pp.388-391
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    • 2022
  • 온라인 음원 스트리밍 서비스가 확대되면서 음원 사재기가 빈번해지고 있다. 본 논문에서는 사재기로 의심할 수 있는 음원의 특징을 분석하고, 사재기가 이루어지지 않았을 경우의 음원 순위를 예측한다. 그 결과, 랜덤 포레스트를 통해 앨범 평점이 낮은 음원, 장르가 인디나 발라드인 음원, 특정 발매사의 음원일 때 사재기로 의심할 수 있었다. 또한, 딥러닝을 통한 순위 예측 실험 결과, 사재기의 영향으로 실제 순위와 예측 순위에 큰 차이가 있는 것으로 나타났다.

Twitter User Information based Users Similarity Ranking System (트위터 사용자 정보 기반의 유사성 순위 시스템)

  • Yang, Xi-tong;Kim, Jae-Yoon;Kumar, Sajan;Kim, Chang-Su;Jung, Hoe-Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.1051-1053
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    • 2015
  • Twitter is using Tweets to post 140 characters at a time to interact with different people around the world. In addition, Twitter will also provide speed, such as instant messaging by providing the follow feature. This was used for increasing the number of users because of the tweeter, a portion of the life was due to the popularity of smart phones. However, because of the large amount of data of the tweeter has a disadvantage similar to the user information or user information is not recommended. In this paper, in order to compensate for this problem to establish a ranking filter the similarity information based on a user's system, we propose that the user or the like similar to the user information. The system proposed in this paper consists of the collected data and modules to collect data using a user account in the filtering and the like to the tweeter module. These modules use the Open API and Mahout designed and implemented.

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Features of the Military Uniforms of the Low-Ranking Soldier Belonging to Jangyongyoung in the King Jeongjo Period Seojangdaeyajodo (정조대 <서장대야조도(西將臺夜操圖)> 장용영(壯勇營) 하급 군사(軍士)의 군복(軍服) 고증)

  • LEE, Kyunghee;KIM, Youngsun;LEE, Eunjoo
    • Korean Journal of Heritage: History & Science
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    • v.54 no.4
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    • pp.90-111
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    • 2021
  • Seojangdaeyajodo is a drawing of Jangyongyoung's military night training on February 12 (lunar leap month), 1795. Focusing on the Seojangdaeyajodo, the positions and roles of the low-ranking soldier belonging to Jangyongyoung, and the composition and characteristics of military uniforms for each role were examined. The results ascertained by the historical research on the military uniforms are as follows. Deungronggun, noeja, sunryeongsu and daegisu who were placed in front of the king's Seojangdae were the low-ranking soldiers belonging to Jangyongyoung. The soldiers who escorted the king around Seojangdae were lowranking soldiers belonging to Jangyongyoung. The military uniform of the deungronggun was consisted of a jeolrip, a black heopsu, red gweja, indigo jeondae, white haengjeon and black shoes. The low-ranking soldier's heopsu suggested that it could also be a sochangui. He carried a sword and a red lantern. Noeja were divided into a sinjeonsu and a jujangsu. The military uniform of the noeja was consisted of a Jujeolrip, a black heopsu, red gweja, indigo jeondae, white haengjeon, and black shoes. Sunryeongsu were divided into a sinsigisu and a younggisu. The military uniform of the sunryeongsu was consisted of a jeongeon, a black heopsu, red gweja, indigo jeondae white haengjeon and black shoes. He carried a sword and a red lantern. The military uniform of the daegisu was consisted of a jeongeon, a black heopsu, blue gweja, indigo jeondae, white haengjeon and black shoes. He carried a sword and a flag. The soldiers surrounding Seojangdae and the seongjeonggun defending the fortress were the Chogun. The military uniform of the chogun was consisted of a jeolrip, a black heopsu, houi, indigo jeondae, white haengjeon and straw shoes. Houi was applying the five directional colors: the east is blue, the west is white, the south is red, and the north is black. He carried a sword and a gun. It was presented as an illustration of costumes that could produce contents by reflecting on these historical results. The basic principle of the illustration was to present the standards for 3D content production or actual production. Samples of form, color, and material according to the times and status were presented. The front, the side, and the back of each costume and the feature were presented, and the colors were presented in RGB and CMYK.

A Dispersion Mean Algorithm based on Similarity Measure for Evaluation of Port Competitiveness (항만 경쟁력 평가를 위한 유사도 기반의 이산형 평균 알고리즘)

  • Chw, Bong-Sung;Lee, Cheol-Yeong
    • Journal of Navigation and Port Research
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    • v.28 no.3
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    • pp.185-191
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    • 2004
  • The mean and Clustering are important methods of data mining, which is now widely applied to various multi-attributes problem However, feature weighting and feature selection are important in those methods bemuse features may differ in importance and such differences need to be considered in data mining with various multiful-attributes problem. In addition, in the event of arithmetic mean, which is inadequate to figure out the most fitted result for structure of evaluation with attributes that there are weighted and ranked. Moreover, it is hard to catch hold of a specific character for assume the form of user's group. In this paper. we propose a dispersion mean algorithm for evaluation of similarity measure based on the geometrical figure. In addition, it is applied to mean classified by user's group. One of the key issues to be considered in evaluation of the similarity measure is how to achieve objectiveness that it is not change over an item ranking in evaluation process.