The Kips Transactions:partb最新文献_第5页

Research on the modified algorithm for improving accuracy of Random Forest classifier which identifies automatically arrhythmia 提高随机森林分类器心律失常自动识别准确率的改进算法研究

The Kips Transactions:partb Pub Date : 2011-12-31 DOI: 10.3745/KIPSTB.2011.18B.6.341

Hyunju Lee, Dongkyoo Shin, HeeWon Park, Soohan Kim, Dongil Shin

{"title":"Research on the modified algorithm for improving accuracy of Random Forest classifier which identifies automatically arrhythmia","authors":"Hyunju Lee, Dongkyoo Shin, HeeWon Park, Soohan Kim, Dongil Shin","doi":"10.3745/KIPSTB.2011.18B.6.341","DOIUrl":"https://doi.org/10.3745/KIPSTB.2011.18B.6.341","url":null,"abstract":"ECG(Electrocardiogram), a field of Bio-signal, is generally experimented with classification algorithms most of which are SVM(Support Vector Machine), MLP(Multilayer Perceptron). But this study modified the Random Forest Algorithm along the basis of signal characteristics and comparatively analyzed the accuracies of modified algorithm with those of SVM and MLP to prove the ability of modified algorithm. The R-R interval extracted from ECG is used in this study and the results of established researches which experimented co-equal data are also comparatively analyzed. As a result, modified RF Classifier showed better consequences than SVM classifier, MLP classifier and other researches' results in accuracy category. The Band-pass filter is used to extract R-R interval in pre-processing stage. However, the Wavelet transform, median filter, and finite impulse response filter in addition to Band-pass filter are often used in experiment of ECG. After this study, selection of the filters efficiently deleting the baseline wandering in pre-processing stage and study of the methods correctly extracting the R-R interval are needed.","PeriodicalId":122700,"journal":{"name":"The Kips Transactions:partb","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129870595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance Comparison between Neural Network Model and Statistical Model for Prediction of Damage Cost from Storm and Flood 神经网络模型与统计模型在暴雨洪水灾害损失预测中的性能比较

The Kips Transactions:partb Pub Date : 2011-10-31 DOI: 10.3745/KIPSTB.2011.18B.5.271

Seonhwa Choi

引用次数: 0

A Sentence Sentiment Classification reflecting Formal and Informal Vocabulary Information 一个反映正式和非正式词汇信息的句子情感分类

The Kips Transactions:partb Pub Date : 2011-10-31 DOI: 10.3745/KIPSTB.2011.18B.5.325

Sang-Hyun Cho, Hang-Bong Kang

引用次数: 0

Red Tide Blooms Prediction using Fuzzy Reasoning 利用模糊推理预测赤潮

The Kips Transactions:partb Pub Date : 2011-10-31 DOI: 10.3745/KIPSTB.2011.18B.5.291

Sun Park, S. Lee

引用次数: 3

Contents Recommendation Method Based on Social Network 基于社交网络的内容推荐方法

The Kips Transactions:partb Pub Date : 2011-10-31 DOI: 10.3745/KIPSTB.2011.18B.5.279

Y. Pei, Jongsoo Sohn, In-Jeong Chung

{"title":"Contents Recommendation Method Based on Social Network","authors":"Y. Pei, Jongsoo Sohn, In-Jeong Chung","doi":"10.3745/KIPSTB.2011.18B.5.279","DOIUrl":"https://doi.org/10.3745/KIPSTB.2011.18B.5.279","url":null,"abstract":"As the volume of internet and web contents have shown an explosive growth in recent years, lately contents recommendation system (CRS) has emerged as an important issue. Consequently, researches on contents recommendation method (CRM) for CRS have been conducted consistently. However, traditional CRMs have the limitations in that they are incapable of utilizing in web 2.0 environments where positions of content creators are important. In this paper, we suggest a novel way to recommend web contents of high quality using both degree of centrality and TF-IDF. For this purpose, we analyze TF-IDF and degree of centrality after collecting RSS and FOAF. Then we recommend contents using these two analyzed values. For the verification of the suggested method, we have developed the CRS and showed the results of contents recommendation. With the suggested idea we can analyze relations between users and contents on the entered query, and can consequently provide the appropriate contents to the user. Moreover, the implemented system we suggested in this paper can provide more reliable contents than traditional CRS because the importance of the role of content creators is reflected in the new system.","PeriodicalId":122700,"journal":{"name":"The Kips Transactions:partb","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129467499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Mobile Semantic Integrated Search System of National Defense Research Information 国防科研信息移动语义集成搜索系统

The Kips Transactions:partb Pub Date : 2011-10-31 DOI: 10.3745/KIPSTB.2011.18B.5.295

Donghee Yoo, M. Ra

{"title":"A Mobile Semantic Integrated Search System of National Defense Research Information","authors":"Donghee Yoo, M. Ra","doi":"10.3745/KIPSTB.2011.18B.5.295","DOIUrl":"https://doi.org/10.3745/KIPSTB.2011.18B.5.295","url":null,"abstract":"To effectively manage research information in the field of national defense, metadata about the information should be managed systematically, and an integrated system to help convergence and management of the information should be implemented based on the metadata. In addition, the system should provide the users with effective integrated search services in a mobile environment, because searching via the use of mobile devices is increasing. The objective of this paper is to suggest a MSISS (Mobile Semantic Integrated Search System), which satisfies the requirements for effective management of the national defense research information. Specifically, we defined national defense research ontologies and national defense research rules after analyzing the Dublin Core metadata and database information of the major military research institutions. We implemented a prototype system for MSISS to demonstrate the use of the ontologies and rules for semantic integrated searching of the military research information. We also presented a triple-based search service to support semantic integrated search in a mobile environment and suggested future mobile semantic integrated search services.","PeriodicalId":122700,"journal":{"name":"The Kips Transactions:partb","volume":"431 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126132263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intensity Correction of 3D Stereoscopic Images Using Binarization-Based Region Segmentation 基于二值化区域分割的三维立体图像强度校正

The Kips Transactions:partb Pub Date : 2011-10-31 DOI: 10.3745/KIPSTB.2011.18B.5.265

Sang-Hyun Kim, Jeong-Yeop Kim

引用次数: 3

An improvement in FGS coding scheme for high quality scalability 一种改进的FGS编码方案，实现高质量的可扩展性

The Kips Transactions:partb Pub Date : 2011-10-31 DOI: 10.3745/KIPSTB.2011.18B.5.249

Hee-Hyung Boo, Sung-Ho Kim

引用次数: 0

A Study on Spam Document Classification Method using Characteristics of Keyword Repetition 基于关键词重复特征的垃圾文档分类方法研究

The Kips Transactions:partb Pub Date : 2011-10-31 DOI: 10.3745/KIPSTB.2011.18B.5.315

Seong-Jin Lee, Jongbum Baik, Chungseok Han, Soowon Lee

{"title":"A Study on Spam Document Classification Method using Characteristics of Keyword Repetition","authors":"Seong-Jin Lee, Jongbum Baik, Chungseok Han, Soowon Lee","doi":"10.3745/KIPSTB.2011.18B.5.315","DOIUrl":"https://doi.org/10.3745/KIPSTB.2011.18B.5.315","url":null,"abstract":"In Web environment, a flood of spam causes serious social problems such as personal information leak, monetary loss from fishing and distribution of harmful contents. Moreover, types and techniques of spam distribution which must be controlled are varying as days go by. The learning based spam classification method using Bag-of-Words model is the most widely used method until now. However, this method is vulnerable to anti-spam avoidance techniques, which recent spams commonly have, because it classifies spam documents utilizing only keyword occurrence information from classification model training process. In this paper, we propose a spam document detection method using a characteristic of repeating words occurring in spam documents as a solution of anti-spam avoidance techniques. Recently, most spam documents have a trend of repeating key phrases that are designed to spread, and this trend can be used as a measure in classifying spam documents. In this paper, we define six variables, which represent a characteristic of word repetition, and use those variables as a feature set for constructing a classification model. The effectiveness of proposed method is evaluated by an experiment with blog posts and E-mail data. The result of experiment shows that the proposed method outperforms other approaches.","PeriodicalId":122700,"journal":{"name":"The Kips Transactions:partb","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115559553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Forward Vehicle Detection Algorithm Using Column Detection and Bird`s-Eye View Mapping Based on Stereo Vision 基于立体视觉的柱检测和鸟瞰映射前向车辆检测算法

The Kips Transactions:partb Pub Date : 2011-10-31 DOI: 10.3745/KIPSTB.2011.18B.5.255

Chung-Hee Lee, Y. Lim, Soon Kwon, Jonghwa Kim

{"title":"Forward Vehicle Detection Algorithm Using Column Detection and Bird`s-Eye View Mapping Based on Stereo Vision","authors":"Chung-Hee Lee, Y. Lim, Soon Kwon, Jonghwa Kim","doi":"10.3745/KIPSTB.2011.18B.5.255","DOIUrl":"https://doi.org/10.3745/KIPSTB.2011.18B.5.255","url":null,"abstract":"In this paper, we propose a forward vehicle detection algorithm using column detection and bird`s-eye view mapping based on stereo vision. The algorithm can detect forward vehicles robustly in real complex traffic situations. The algorithm consists of the three steps, namely road feature-based column detection, bird`s-eye view mapping-based obstacle segmentation, obstacle area remerging and vehicle verification. First, we extract a road feature using maximum frequent values in v-disparity map. And we perform a column detection using the road feature as a new criterion. The road feature is more appropriate criterion than the median value because it is not affected by a road traffic situation, for example the changing of obstacle size or the number of obstacles. But there are still multiple obstacles in the obstacle areas. Thus, we perform a bird`s-eye view mapping-based obstacle segmentation to divide obstacle accurately. We can segment obstacle easily because a bird`s-eye view mapping can represent the position of obstacle on planar plane using depth map and camera information. Additionally, we perform obstacle area remerging processing because a segmented obstacle area may be same obstacle. Finally, we verify the obstacles whether those are vehicles or not using a depth map and gray image. We conduct experiments to prove the vehicle detection performance by applying our algorithm to real complex traffic situations.","PeriodicalId":122700,"journal":{"name":"The Kips Transactions:partb","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127000676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0