发布求助
文献互助 智能选刊 最新文献

The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001最新文献

筛选
英文 中文
Automatic blood glucose level control using CGMS 使用CGMS自动控制血糖水平
The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001 Pub Date : 1900-01-01 DOI: 10.1109/ANZIIS.2001.974054
F. Chee, T. Fernando, P. V. van Heerden
{"title":"Automatic blood glucose level control using CGMS","authors":"F. Chee, T. Fernando, P. V. van Heerden","doi":"10.1109/ANZIIS.2001.974054","DOIUrl":"https://doi.org/10.1109/ANZIIS.2001.974054","url":null,"abstract":"An automatic system for controlling blood glucose level in critically ill patients has been constructed. Closed-loop control of blood glucose; level has been achieved using glucose measurements from the MiniMed(R) Continuous Glucose Monitoring System (CGMS). A sliding scale approach determined the required insulin dose. Clinical results showed that patients' BSL can be maintained in the range of 10-15 mmol/L automatically using a conservative insulin delivery scheme. Analysis of the averaged BSL achieved during manual control and closed-loop control showed that BSL as maintained by the closed-loop system was close to the desired range of 6-10 mmol/L and had less deviation than BSL maintained manually.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114645892","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: 3
A full explanation facility for a MLP network that classifies low-back-pain patients 一个完整的解释设施的MLP网络，分类腰痛患者
The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001 Pub Date : 1900-01-01 DOI: 10.1109/ANZIIS.2001.974047
M. L. Vaughn, S. Cavill, S. Taylor, M. Foy, A. Fogg
{"title":"A full explanation facility for a MLP network that classifies low-back-pain patients","authors":"M. L. Vaughn, S. Cavill, S. Taylor, M. Foy, A. Fogg","doi":"10.1109/ANZIIS.2001.974047","DOIUrl":"https://doi.org/10.1109/ANZIIS.2001.974047","url":null,"abstract":"This paper presents a full explanation facility that has been developed for a standard MLP network, with binary input neurons that performs a classification task. It is shown how an explanation for any input case is represented by a non-linear ranked data relationship of key inputs, in both text and graphical forms. Using the facility, the knowledge that the MLP has learned can be represented by average ranked class profiles or as a set of rules induced from all training cases. The full explanation facility discovers the MLP knowledge bounds by finding the hidden layer decision regions containing correctly classified training examples. Novel inputs are detected by the explanation facility, on an input case-by-case basis, when the case is positioned in a decision region outside the knowledge bounds. Results using the facility are presented for a real-world MLP network that classifies low-back-pain patients.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122602592","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: 2
A study of the shape change of sheep chondrocytes with application of compression to cartilage 压迫软骨对绵羊软骨细胞形状改变的研究
The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001 Pub Date : 1900-01-01 DOI: 10.1109/ANZIIS.2001.974057
Jianping Wu, T. B. Kirk
{"title":"A study of the shape change of sheep chondrocytes with application of compression to cartilage","authors":"Jianping Wu, T. B. Kirk","doi":"10.1109/ANZIIS.2001.974057","DOIUrl":"https://doi.org/10.1109/ANZIIS.2001.974057","url":null,"abstract":"In the clinical field, osteoarthritis and most other forms of arthritis are associated with the functional breakdown of articular cartilage. Studies have shown that the mechanical forces exerted on articular cartilage can change its structure and composition, which results in a change in the biomechanical behaviour of the cartilage. Articular cartilage has a unique ultra-structure which provides it with exceptional biomechanical properties. Before the application of laser scanning confocal microscopy (LSCM), studies of the internal structure and mechanical behaviour of articular cartilage had to be carried out independently. Articular cartilage is a load-bearing tissue. To gain real understanding of its biomechanical behaviour, the tissue must be studied in relation to its biomechanical function. Based on the use of a fibre-optic laser scanning confocal microscope (FLSCM), which is slightly different from a traditional LSCM, a methodology has been developed to study the morphology of sheep chondrocytes while the articular cartilage is being compressed. With the characteristics of the FLSCM involved in this study, there is a potential to develop a clinical method for the diagnosis of early internal degeneration of articular cartilage.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121801455","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: 5
Environmental sound sources classification using neural networks 基于神经网络的环境声源分类
The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001 Pub Date : 1900-01-01 DOI: 10.1109/ANZIIS.2001.974112
S. Stoeckle, N. Pah, D.K. Kumar, N. McLachlan
{"title":"Environmental sound sources classification using neural networks","authors":"S. Stoeckle, N. Pah, D.K. Kumar, N. McLachlan","doi":"10.1109/ANZIIS.2001.974112","DOIUrl":"https://doi.org/10.1109/ANZIIS.2001.974112","url":null,"abstract":"Noise pollution is the greatest single environmental issue faced by many urban centres in the world. Current techniques used for monitoring sound do neither provide adequate information for designers and planners, nor determine many of the sound parameters that influence perception. The overall aim of this research is to provide new strategies for acoustic monitoring of complex urban environments. The specific aim of this research is to determine features of sound from commonly existing sources to enable automated source recognition. This paper reports the use of Fast Fourier Transforms in order to produce spectral data of sounds from different sources for the classification using neural networks.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121217079","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: 5
Adaptive expanding B-snake model for extracting ultrasound breast lump boundary 超声乳腺肿块边界提取的自适应扩展b蛇模型
The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001 Pub Date : 1900-01-01 DOI: 10.1109/ANZIIS.2001.974042
Chen Yintao, K. C. Keong, Wee Siew-Bock, Zou Qingsong
{"title":"Adaptive expanding B-snake model for extracting ultrasound breast lump boundary","authors":"Chen Yintao, K. C. Keong, Wee Siew-Bock, Zou Qingsong","doi":"10.1109/ANZIIS.2001.974042","DOIUrl":"https://doi.org/10.1109/ANZIIS.2001.974042","url":null,"abstract":"In this paper we introduce a new adaptive expanding B-snake model (AEBS) to extract 2-D ultrasound breast lump boundaries, using B-spline to split the whole snake energy into smaller parts to achieve both global deformation and local variation. Due to the noisy property of ultrasound breast lump images, initial model is loaded inside lump area and an expanding force is used to reduce the 'noise' from the breast tissues. Which has been improved after a pre-processing before the AEBS. Local elements' gradient is used as a feedback of contour deformation to make the expanding force to act intelligently. The balance of all defined forces in t-n (tangent and normal) coordinates is used as a terminating criterion. A serial of parallel-scanned ultrasound breast lump images have been used in the testing and results show our method works correctly and consistently.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125425303","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: 1
Adaptive techniques for lossless data compression 无损数据压缩的自适应技术
The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001 Pub Date : 1900-01-01 DOI: 10.1109/ANZIIS.2001.974102
G. Deng, H. Ye, L. Cahill
{"title":"Adaptive techniques for lossless data compression","authors":"G. Deng, H. Ye, L. Cahill","doi":"10.1109/ANZIIS.2001.974102","DOIUrl":"https://doi.org/10.1109/ANZIIS.2001.974102","url":null,"abstract":"Data compression techniques have many applications in medical signal and image processing. In medical imaging, lossless image compression is required. According to information theory, a fundamental problem in data compression is to estimate the probability distribution function (pdf) of the signal given the data seen so far. The estimation should be as close as possible to the true pdf. For non-stationary signals, an adaptive estimation technique must be used. In this paper we address this problem by reviewing the current practices in compressing digital image and audio data. We show that the popular prediction plus entropy coding approach is only a rough approximation to that suggested by information theory. We then discuss a Bayesian approach to improve the prediction performance. We also propose another Bayesian approach for adaptive pdf estimation.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129041424","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: 3
Data representation influences protein secondary structure prediction using artificial neural networks 数据表示影响人工神经网络对蛋白质二级结构的预测
The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001 Pub Date : 1900-01-01 DOI: 10.1109/ANZIIS.2001.974114
O. Lamont, H. Liang, M. Bellgard
{"title":"Data representation influences protein secondary structure prediction using artificial neural networks","authors":"O. Lamont, H. Liang, M. Bellgard","doi":"10.1109/ANZIIS.2001.974114","DOIUrl":"https://doi.org/10.1109/ANZIIS.2001.974114","url":null,"abstract":"Artificial Neural Networks (ANN) have been used very successfully for a number of classification problems in the molecular biology field. Protein secondary structure prediction is one of the oldest and best defined of these classification problems. Yet despite the considerable amount of work conducted in this field there still remain a number of fundamental computational issues that have not been thoroughly investigated, if considered at all. One important issue is identifying an appropriate data representation for input into the ANN. In this paper, we have investigated a range of new encoding schemes and evaluated their performance using recently introduced evaluation criterion. We have done this by preserving the redundant information of DNA codons that is lost when they are translated into amino acids. Interestingly, with our new data representation, the /spl beta/-strand prediction performance was consistently higher (14% improvement) over the accuracy of the ANNs trained when the conventional representation was used.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127046739","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: 3
Rectal wall structure delineation and broken layer recognition by multigradient field active contour 基于多梯度场活动轮廓的直肠壁结构圈定与破层识别
The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001 Pub Date : 1900-01-01 DOI: 10.1109/ANZIIS.2001.974062
D. Xiao, W. Ng, U. Abeyratne, K. C. Keong, C. B. Tsang, Seow Cheon
{"title":"Rectal wall structure delineation and broken layer recognition by multigradient field active contour","authors":"D. Xiao, W. Ng, U. Abeyratne, K. C. Keong, C. B. Tsang, Seow Cheon","doi":"10.1109/ANZIIS.2001.974062","DOIUrl":"https://doi.org/10.1109/ANZIIS.2001.974062","url":null,"abstract":"This paper presents a novel multigradient field active contour algorithm with an extended ability for multiple object delineation, which overcomes some limitations of ordinary active contour model (snakes). One of the aims is to apply this technique for multilayer boundary detection from ultrasound rectal wall image, which is important in colorectal clinical diagnosis for rectal tumor staging. The core part in the algorithm is the proposal of multigradient vector field concept, which is used to replace the image forces in the kinetic equation of the active contour. For some broken layers on the rectal wall from the penetration by tumor, a modified local cost function approach is proposed to recognize the broken segments from the current obtained boundaries.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121774953","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: 4
Detection of human faces in visual scenes 视觉场景中人脸的检测
The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001 Pub Date : 1900-01-01 DOI: 10.1109/ANZIIS.2001.974070
S. Karungaru, M. Fukumi, N. Akamatsu
{"title":"Detection of human faces in visual scenes","authors":"S. Karungaru, M. Fukumi, N. Akamatsu","doi":"10.1109/ANZIIS.2001.974070","DOIUrl":"https://doi.org/10.1109/ANZIIS.2001.974070","url":null,"abstract":"This paper presents a neural network based high-speed system to detect faces in any visual scene. This paper proposes a high-speed and accurate method to search for human faces using a \"Knowledge\" pruned small sized neural network, and skin colour detection using threshold method with confirmation by a skin colour detection neural network (TSCD). This project is made up of two parts: the face detecting system (FDS) and the TSCD. The FDS that is used to detect faces is made up of a knowledge pruned face locator, a down sampler, and a merger. The TSCD does a high-speed reduction of the face search area to skin regions (and then to face candidates). The TSCD assumes, correctly, that a human face (without wearing any mask or painting) in a visual scene can only be found in a skin colour region. However, all skin regions containing faces must be found otherwise the overall system accuracy goes down.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130639156","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: 16
Integer wavelet transform for medical image compression 整数小波变换用于医学图像压缩
The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001 Pub Date : 1900-01-01 DOI: 10.1109/ANZIIS.2001.974104
D. Tay
{"title":"Integer wavelet transform for medical image compression","authors":"D. Tay","doi":"10.1109/ANZIIS.2001.974104","DOIUrl":"https://doi.org/10.1109/ANZIIS.2001.974104","url":null,"abstract":"The Integer Wavelet Transform (IWT) is a transform that maps integers to integers and can thus be used for the lossless compression of medical images. A class of IWT which are parametrized simply by one free parameter is presented in this work. The class of IWT is obtained by a lifting based factorization on a class of 6/10 filter pair. By adjusting the free parameter, IWT with different properties and characteristics can be obtained and this feature can be utilized in an adaptive system. Within this class are lifting filters with rational coefficients which are easier to implement than the irrational counterpart.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132848562","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: 6
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信