Raymond Lee

• Nottingham Trent University

Background Movement alterations are often reported in individuals with back pain. However the mechanisms behind these movement alterations are not well understood. A commonly cited mechanism is pain. The aim of this study was to investigate the effect of pain reduction, from oral analgesia, on lumbar kinematics in individuals with acute and chronic...

The aim of this study was to use an experimental pain relief model to determine the effect of pain relief on lumbar muscle function in people with low back pain. A test-retest design was used with all data collection being completed within a therapy setting. Twenty people with acute and 20 with chronic low back pain were recruited from general prac...

Lumbar curvature is important in the assessment of low back pain (LBP). It is often reported that changes in curvature seen in LBP sufferers are an adaptive response to pain. Studies investigating this hypothesis employing an experimental pain relief model have failed to isolate pain relief in their interventions. Therefore the purpose of this stud...

Clinical measurement of lumbar motion has traditionally been limited to range of motion (ROM). Despite this, deficits in angular velocities and accelerations are more pronounced compared to ROM in low back pain (LBP) sufferers. There is increasing interest in movement quality among manual therapists and therefore the ability to measure angular velo...

Objectives: (1) To determine the reliability of a novel fiber-optic method to dynamically measure lumbar curvature in low back pain (LBP) sufferers, and (2) to investigate the dynamic lumbar curvature in acute and chronic LBP sufferers. Design: Cross-sectional study. Setting: Physiotherapy clinic. Participants: Acute (n=20) and chronic (n=20...

We present the case of a 53-year-old woman after thyroidectomy with metastatic multifocal papillary carcinoma and encapsulated focal Hurthle cell carcinoma. Postoperatively, an I-131 whole-body scan revealed uptake in the low midline anterior neck. She was treated with 151.5 mCi of I-131. The 1-year follow-up I-131 whole-body scan revealed a new pe...

In the 1940s, interviewing practice in sociology became decisively influenced by techniques that had originally been developed by researchers in other disciplines working within a number of therapeutic or quasi-therapeutic contexts, in particular the "nondirective interviewing" methods developed by Carl Rogers and the interviewing procedures develo...

Text information retrieval is the most important function in text based information system. They are used to develop search engines, content management systems (CMS), including some text classification and clustering features. Many technologies about text information retrieval are well developed in the past research. This chapter reviews those info...

IATOPIA News Channel (IAToNews) is an online News Channel developed for IATOPIA.com. IAToNews is a web application integrated with the IATOPIA iCMS KnowledgeSeeker to provide a powerful and intelligent ontologybased information system for user to read and search news article (Chinese news) through a web browser. It consists of mainly an agent syste...

Automatic classification of Chinese text documents requires a machine to process and analyze the meaning of Chinese terms. We propose an Ontology Graph based approach to measure the relations between Chinese terms for the text classification purpose. The method improves traditional high dimensional termbased text classification approach, in that th...

IATOPIA iCMS KnowledgeSeeker is an integrated solution which has adopted the KnowledgeSeeker technology to develop various ontology based application, such as the IATOPIA Digital Asset management System. IATOPIA DAMS provides a centralized databank to categorize, manage, store and retrieve different types of digital asset, i.e. text articles, photo...

In this chapter, we define an ontology generation method that transforms the ontology learning outcome to the Ontology Graph format for machine processing and also can be visualized for human validation. We first formalize the Ontology Graph structure and define the generation methods. After that an experiment of automatic generation of Domain Onto...

The definition of knowledge is an augmentative topic in philosophy. We do not try to find out an explicit meaning of philosophical knowledge, but the most important thing is that we should know about what is knowledge in computer system, as called computational knowledge. In this chapter, we introduce some researches and definitions related to know...

In this chapter, an ontology learning process that based on chi-square statistics is proposed for automatic learning an Ontology Graph from texts for different domains. The ontology learning method is illustrated by different steps and examples, and finally we give an experiment which applied the proposed method for automatic learning ten Ontology...

We have defined a knowledge representation model in Knowledge- Seeker called Ontology Graph, which is used to represent domain ontology and it can support ontological information search and management. The proposed Ontology Graph is a graphical based knowledge generated by semantic relations of Chinese words, and that semantic relations are formed...

In this chapter, we define different ontological operations (such as similarity measurement and ontology graph based querying) that can be carried out with the use of generated Domain Ontology Graphs. These operations can be applied to develop various ontology based applications such as text classification, search engine, etc. This is the last modu...

The current web system is largely built on HTML. HTML is originally designed for human consumption only. Therefore they are not designed to “understand” the web content on their own. Enriching web contents with semantic data is aimed to solve this problem. Semantic web is a kind of this technology which adds more structural markup data to the semi-...

Ontology engineering is the research to find out methods of creating ontology knowledge in computer system. This research concerns about formalizing the structure of ontology, and the development of some algorithms for automatic or semi-automatic ontology learning. Some of the work involves developing tools for ontology engineer or domain expert to...

Dynamic continuous measurement of the curvature of the lumbar spine is technically difficult but could provide important information about the functions of the spine. A new measurement system using a ribbon of specifically modified fibre-optic sensors was attached to the back and used to dynamically measure lumbar surface curvature during flexion a...

This paper introduces a new fuzzy membership function - LEE- oscillatory Chaotic Fuzzy Model (LoCFM). The development of this model is based on fuzzy logic and the incorporation of chaos theory - LEE Oscillator. Prototype systems are being developed for handling imprecise problems, typically involving linguistic expression and fuzzy semantic meanin...

Alterations in movement patterns and muscle activities of the lumbar spine are frequently observed in patients with back pain. However there is considerable disagreement as to the underlying causative mechanisms. It is imperative to identify these mechanisms so that clinical management can be rationalized. One popular theory suggests these alterati...

We assessed the impact of diabetes mellitus on survival in South East Asian patients with congestive heart failure. 1668 consecutive patients with chronic heart failure (age 65+/-13 years, ejection fraction 28+/-12%, 67% male) were followed up for 36+/-12 months. 837 patients (50.2%) were diabetic and 1076 patients (65%) had ischemic cardiomyopathy...

We assessed the accuracy of 64-slice multidetector computed tomography (MDCT) compared with that of invasive coronary angiography (ICA) in the evaluation of symptomatic postcoronary artery bypass graft (post-CABG) patients. MDCT and ICA were performed in 44 consecutive post-CABG patients with chest pain (mean age 66 +/- 10 years, mean duration post...

This paper presents a methodology of knowledge discovery from text learning for ontology modeling. Knowledge written in text is always hard to be extracted by automated process, and most existing ontologies are defined manually. Those ontologies are not comprehensive enough to express most human knowledge in the real world. Therefore, the most effi...

This paper describes a methodology for financial prediction by using an advanced paradigm from computational intelligence - Chaotic Oscillatory-based Neural Networks (CONN) and aid with fuzzy membership function. The method uses financial market data to predict market trends over a certain period of time. This approach may have a wide variety of ap...

This paper presents a collaborative ontology learning approach for the implementation of an ontology-based Web content management system (OWCMS). The proposal system integrates two supervised learning approach - content-based learning and user-based learning approach. The content-based learning approach applies text mining methods to extract ontolo...

Office web application is a hot topic in nowadays commercial society. Many office application development companies try to put the traditional document software to the Internet. However, there are difficulties of putting presentation software on the Internet, especially the activeness in the global business environment for presentation of manufactu...

Recently, semantic web has received substantial attention from the research community. Semantic web aims to provide a new framework that can enable knowledge sharing and reusing. Semantic web is a collection of web technologies that include a number of markup languages such as RDF, OWL and RDFS. These markup languages are used for modeling a domain...

Cross-sectional study. The purpose of this study was to examine disc morphology and spinal mobility in subjects with varying degrees of osteoporosis. There was limited information on the effect of osteoporosis on lumbar morphology and spinal mobility. It was also unclear how osteoporosis affects the nonosseous tissues such as the intervertebral dis...

To examine the transfer of energy through the pelvis and the lower limb during sit-to-stand (STS) in low back pain (LBP) subjects with or without a straight-leg raise sign. Cross-sectional. Biomechanics laboratory. Three groups, each of 20 subjects, participated. The first group consisted of asymptomatic subjects, and the other 2 groups of consiste...

This paper focuses on the adoption of Agent Technology to calculate and evaluate the Web Content Engagement Time (WCET). Traditional Web traffic analysis metrics such as pageviews, unique browser, visitor loyalty, etc have been used to analyze the Web traffic behaviour for a long time since the birth of World Wide Web, but the emersion of software...

Human serum potently induces hyphal development of the polymorphic fungal pathogen Candida albicans, a phenotype that contributes critically to infections. The fungal adenylyl cyclase Cyr1p is a key component of the cAMP/PKA-signaling pathway that controls diverse infection-related traits, including hyphal morphogenesis. However, identity of the se...

Current research based on various approaches including the use of numerical prediction models, statistical models and machine learning models have provided some encouraging results in the area of long-term weather forecasting. But at the level of meso-scale and even micro-scale severe weather phenomena (involving very short-term chaotic perturbatio...

Chaos Theory describes systems that are extremely sensitive to initial conditions. Assuming that weather is a chaotic phenomenon, chaos theory may provide suitable weather prediction models. The study describes chaos theory-based weather prediction model for forecasting short range severe rainstorms in Hong Kong. The model uses a Lee oscillator, wh...

In this paper, we present the KnowledgeSeeker, an ontological agent-based system that is designed to help users find, retrieve, and analyze news article from the Internet and then present the content in a semantic web. We present the benefits of using ontologies to analyze the semantics of Chinese text, and also the advantages of using a semantic w...

Wind shear is a conventionally unpredictable meteorological phenomenon which presents a common danger to aircraft, particularly on takeoff and landing at airports. This paper describes a method for forecasting wind shear using an advanced paradigm from computational intelligence, chaotic oscillatory-based neural networks (CONN). The method uses wea...

It is common for Internet search engines such as Google and Yahoo to use keyword searching. Keyword searching employs techniques such as frequency-inverse document frequency (TF-IDF) [21] to determine the importance of a word in a document. These methods have several problems. Firstly, keyword searches locate web pages using the input keywords, wit...

We assessed the impact of race on clinical outcome in the multiracial Singapore congestive heart failure (CHF) population. 668 CHF patients (Age 66+/-12 years, Ejection fraction 29+/-13%), consisting of Chinese (72%), Malays (17.1%) and Indians (10.9%) were prospectively followed up for 24+/-12 months. Primary outcome measure was the composite end-...

Measurement errors of skin-mounted sensors in measuring forward bending movement of the lumbar spines are investigated. In this investigation, radiographic images capturing the entire lumbar spines' positions were acquired and used as a 'gold' standard. Seventeen young male volunteers (21 (SD 1) years old) agreed to participate in the study. Light-...

In this paper, we propose a gait recognition algorithm that fuses motion and static spatio-temporal templates of sequences of silhouette images, the motion silhouette contour templates (MSCTs) and static silhouette templates (SSTs). MSCTs and SSTs capture the motion and static characteristic of gait. These templates would be computed from the silho...

Cyclin-dependent kinases (CDKs) control yeast morphogenesis, although how they regulate the polarity machinery remains unclear. The dimorphic fungus Candida albicans uses Cdc28/Hgc1, a CDK/cyclin complex, to promote persistent actin polarization for hyphal growth. Here, we report that Rga2, a GTPase-activating protein (GAP) of the central polarity...

We sought the value of the 6-min walk test (6MWT) in predicting morbidity and mortality in Asian patients with congestive heart failure (CHF). 668 patients (Age 66+/-12 years, Ejection fraction 29+/-13%, NYHA I to IV) were prospectively followed up for 36+/-12 months. 386 patients (58%) took the 6MWT. Cardiac events, defined as the composite end-po...

In this chapter, we presents iJADE InfoSeeker, an intelligent context-aware agents system that is designed to help users find, retrieve, and analyze news article from the Internet and then present the content in a semantic web. We present the advantages of using multiple intelligent agents to mine news articles on the web, the benefits of using ont...

The growing tips of Candida albicans hyphae are sites of polarized exocytosis. Mammalian septins have been implicated in regulating exocytosis and C. albicans septins are known to localize at hyphal tips, although their function here is unknown. Here, we report that C. albicans cells deleted of the exocyst subunit gene SEC3 can grow normal germ tub...

The management of asymptomatic severe mitral regurgitation is showing an increasing trend towards early surgery. However, in situations where either the valve or the patient is not optimal for surgery, watchful waiting remains a reasonable policy. In this situation, the longstanding challenge of assessing left ventricular function in the setting of...

The polymorphic fungus Candida albicans switches from yeast to filamentous growth in response to a range of genotoxic insults, including inhibition of DNA synthesis by hydroxyurea (HU) or aphidicolin (AC), depletion of the ribonucleotide-reductase subunit Rnr2p, and DNA damage induced by methylmethane sulfonate (MMS) or UV light (UV). Deleting RAD5...

In this paper, an Intelligent Content Management System with Chaotic Copyright Protection scheme called iJADE CMS is presented. iJADE CMS focuses on how web mining techniques can be effectively applied on Chinese content, with the integration of various AI techniques including intelligent agents, agent ontology and fuzzy logic based data mining sch...

In this paper, an ontology-based tourist guiding system, iJADE FreeWalker, is presented. The system integrated with agent and Semantic Web technologies to provide tourist information for the tourist. The tourist’s geographical information is gathered by GPS receiver. The GPS Agent migrates to the tourist information center and retrieves the related...

The Internet becomes part of our lives. Users can access different kinds of information through the Internet. However, the exponential growth of the Internet led to a great problem: difficult to locate relevant information. The Semantic Web is an extension of the current web system in which information is organized in a well-defined manner and for...

The cell walls of microbial pathogens mediate physical interactions with host cells and hence play a key role in infection. Mannosyltransferases have been shown to determine the cell wall properties and virulence of the pathogenic fungus Candida albicans. We previously identified a C. albicans α-1,2-mannosyltransferase, Mnn5, for its novel ability...

Recently, gait recognition for human identification has received substantial attention from biometrics researchers. Compared with other biometrics, it is more difficult to disguise. In addition, gait can be captured in a distance by using low-resolution capturing devices. In this paper, we proposed a new representation for human gait recognition wh...

In this paper, we propose a gait recognition algorithm that fuses motion and static spatio-temporal templates of sequences of silhouette images, the motion silhouette contour templates (MSCTs) and static silhouette templates (SSTs). The performance of the proposed algorithm is evaluated experimentally using the SOTON dataset and the USF dataset. Th...

Recently, agents have received substantial attention in AI research community. Agents have the autonomous properties, automatic delegation of jobs, highly mobile and adaptive behavior in the environment. It is one of the potential areas of development for the E-commence. By using agents' technology, it is possible to model negotiation. Agents could...

A mobile location-awareness agent-based tourist guide system called iJADE Tourist Guide is presented. We focus on how to integrate GPS device and agent technology to provide location-awareness tourist information in mobile device. We use GPS device for locating visitor’s current position, and adopt iJADE agent to retrieve nearby tourist information...

In this paper we propose a highly adaptive bargaining model for agent shopping which stimulates two major human bargaining strategies: 1) Payoff-Oriented Strategy and 2) Real-time Adaptive Attitude Switching Strategy. Payoff-Oriented Strategy adjusts the rate of concession by determining the current payoff gained and the eagerness of the adopted at...

Gait has received substantial attention from researchers. Different from other biometrics, gait can be captured in a distance and it is difficult to disguise. In this paper, we propose a feature template: Silhouette Spatio-temporal (SStS). It generates by concatenating silhouette projection vectors (SPV) which is formulated by projection of silhoue...

In this paper, an Intelligent Context – Aware News Reporting System called iJADE Reporter is presented. This system focuses on how context mining techniques are applied on news reporting under a multi-agent architecture, and categorize news content by information retrieval algorithm. This paper also investigates how to improve the similarity measur...

The surface method of measuring the movements of lower thoracic and lumbar spine with osteoporosis using Fastrak® was examined for validity. There is an increasing awareness of the health risks of exposure to radiation associated with repeated radiographic assessment of spinal curvature and spinal movements. As a skin-surface measurement device, Fa...

This study sought the ability of strain rate imaging to detect subclinical left ventricular dysfunction, as evidenced by reduced contractile reserve (CR) in 32 asymptomatic patients with isolated severe mitral regurgitation. Compared with CR- patients (n = 10), CR+ patients (n = 22) had significantly higher end-systolic strain and peak systolic str...

In this paper, we propose a new tracking model called Kalman Gradient Vector Flow (KGVF) snakes. KGVF snakes employ the Gradient Vector Flow (GVF) model [9] with the Kalman Filter [4] for object tracking. GVF model is an active contour model that used gradient vector flow field as the external force. This force ensures a larger capture range in the...

Weather forecasting has been one of the most challenging problems around the world for more than half a century. Not only because of its practical value in meteorology, but it is also a typical "unbiased" time series forecasting problem in scientific research. In this paper, we propose an innovative, intelligent multiagent-based environment, namely...

There is growing interest in using intelligent software agents for a variety of tasks, including navigating and retrieving information from the Internet and from databases, online shopping activities, user authentication, negotiation for resources, and decision making. This paper proposes an integrated framework for information retrieval and inform...

Tactile needle tip control was used to aid perforation during standard tension-free vaginal tape (TVT) placement to treat urinary incontinence. The success and complications of this novel method were compared retrospectively with the reported results of the standard technique. One hundred nine patients had TVT placement between 1998 and 2001, with...

To characterize vaginal rupture and evisceration. We reviewed medical records (1970-2001) for use of the diagnostic terms "vaginal rupture," "vaginal evisceration," and "ruptured enterocele." Twelve clinical cases were identified. Patients usually presented with pain, vaginal bleeding, and abdominal pressure. In 9 of 12 women, rupture was primarily...

A multi-agent based pose and scale invariant human face recognition system called iJADE Face Recognizer is presented. We focus on how neural networks are applied on face detection under cluttered scenes, and committee network handles detection of multi-pose faces. We also investigate how Gaussian mixture model of skin tone can narrow down the regio...

Previous research had examined the effects of back pain on spinal movements, but information concerning movement coordination between the lumbar spine and hips was limited. The purpose of this study was to examine the effects of back pain and limitation in straight leg raise on the relationship between the movements of the lumbar spine and hip. An...

The purpose of this study was to evaluate quality of life, sexual function, and long-term outcome in women after undergoing the McIndoe procedure for vaginal agenesis. This was a retrospective descriptive study of patients who were treated with the McIndoe procedure for vaginal agenesis. Participants answered a structured questionnaire to describe...

To examine the immediate effects of a change in prosthetic length on the kinematics of the lumbar spine in lower-limb amputees. An experimental study with repeated measurements of lumbar spine movements under conditions of different prosthetic lengths. A free-standing rehabilitation center in the United Kingdom. Twenty unilateral below-knee amputee...

Mayer-Rokitansky-Kuster-Hauser syndrome is challenging to diagnose and manage. A multisystem approach serves patients best. Appropriate treatment successfully improves patient self-image and sexual satisfaction.

To determine the effect of trunk sitting posture on scapular kinematics during humeral elevation by using skin-mounted electromagnetic tracking sensors. Repeated-measures design contrasting scapular kinematics in 2 different sitting postures. A biomechanics laboratory in Hong Kong with a real-time, 3-dimensional electromagnetic tracking device for...

To explore young women's accounts of their use and non-use of emergency contraception. Qualitative study using in-depth interviews. 30 women aged 16-25; participants from socially deprived inner city areas were specifically included. Community, service, and educational settings in England. Young women's accounts of their non-use of emergency contra...

Lee RY, Turner-Smith A. The influence of the length of lower-limb prosthesis on spinal kinematics. Arch Phys Med Rehabil 2003;84:1357–62.Objective: To examine the immediate effects of a change in prosthetic length on the kinematics of the lumbar spine in lower-limb amputees.Design: An experimental study with repeated measurements of lumbar spine mo...

This study was undertaken to determine the incidence of clinically overt postpartum urinary retention after vaginal delivery and to examine what maternal, fetal, and obstetric factors are associated with this problem. This was a retrospective case-controlled study of women who had overt postpartum urinary retention after vaginal delivery from Augus...

Scene analysis is so far one of the most important topics in machine vision. In this paper, we present a neural oscillatory model integrated with an elastic graph dynamic link model to provide an automatic means of processing color images. The system involves: (1) multi-frequency bands feature extraction scheme using Gabor filters, (2) automatic fi...

To evaluate and compare the postures and movements of the cervical and upper thoracic spine, the typing performance, and workstation ergonomic factors when using a desktop, notebook, and subnotebook computers. Repeated-measures design. A motion analysis laboratory with an electromagnetic tracking device. A convenience sample of 21 university studen...

Scene analysis is so far one of the most important topics in machine vision. In this paper, we present an integrated scene analysis model, namely SCENOGRAM (Scene analysis using CompositENeural Oscillatory-based elastic GRAph Model). Basically the proposed scene analyzer is based on the integration of the composite neural oscillatory model with our...

Movements of the lumbar spine and hips were measured in 20 healthy subjects using an electromagnetic tracking device. Movement sensors were attached to the L1 spinous process, the sacrum and the thighs. Each subject was requested to perform the following movements of the trunk: forward and backward bending, lateral bending and twisting. The ratio o...

We are evolving into a mobile information age where information is expected to be accessed anywhere, anytime, wherever is needed. In this paper, we consider the issues of handling the problems of modality recognizer errors and consistency between multiple modality inputs for a multi-modal dialogue interface in the automobile environment. We describ...

Financial prediction is one of the most typical applications in contemporary scientific study. In this paper, we present a fully integrated stock prediction system – NORN Predictor – a Neural Oscillatory-based Recurrent Network for finance prediction system to provide both a) long-term trend prediction, and b) short-term stock price prediction. One...

With the rapid growth of e-commerce applications, Internet shopping is becoming part of our daily lives. Traditional Web-based product searching based on keywords searching seems insufficient and inefficient in the ‘sea’ of information. In this paper, we propose an innovative intelligent multi-agent based environment, namely (iJADE) - intelligent J...

Objectives: The objectives were to assess indications for and outcome and morbidity of gastrointestinal surgery in patients with ovarian cancer. Methods: We reviewed 364 patients with ovarian cancer who underwent a total of 491 operations including a gastrointestinal procedure over a 10-year period. The 491 operations comprised 180 primary surgi...

In this paper, an elastic graph dynamic link model (EGDLM) based on elastic contour matching is proposed to automate the Dvorak technique for tropical cyclone (TC) pattern interpretation from satellite images. This method integrates traditional dynamic link architecture (DLA) for neural dynamics and the active contour model (ACM) for contour extrac...

Financial prediction is so far the most important applications in contemporary scientific study. In this paper, we present a fully integrated stock prediction system - NORN Finance Forecaster - A Neural Oscillatory-based Recurrent Network for finance prediction system to provide both a) Long-term trend prediction, and b) Short-term stock price pred...

Gravity modulation of an unbounded fluid layer with surface tension variations along its free surface is investigated. The stability of such systems is often characterized in terms of the wavenumber, , Ma) parameter space, modulation has a destabilizing effect on the unmodulated neutral stability curve for large Prandtl number, Pr, and small modula...

We present an automatic and integrated neural network-based tropical cyclone (TC) identification and track mining system. The proposed system consists of two main modules: 1) TC pattern identification system using neural oscillatory elastic graph matching model; and 2) TC track mining system using hybrid radial basis function network with time diff...

The selection of projects for implementation in the competitive telecommunications market is difficult after deregulation. Most projects are governed by the complexity of a firm's policy structure and the inexactness of the database behind them. This research studies project ranking with a fuzzy expert system in order to help practising managers to...

In the past decades, satellite interpretation was one of the vital methods for the determination of weather patterns all over the world, especially for the identification of severe weather patterns such as tropical cyclones (TC). The method is based on Dvorak Technique ⁸ which provides a means of the identification of the cyclone and its intensity....

Stationary onset of convection due to surface tension variation in an unboundedmulticomponent fluid layer is considered. Surface deformation is included and general fluxboundary conditions are imposed on the stratifying agencies (temperature/composition) disturbance equations. Exact solutions are obtained to the general N-componentproblem for both...

In recent years adopted speech feature for automatic speech recognition system is degraded by the additive noise when the system is being used in real environments. In this respect a lot of efforts have been devoting to find the robust features. In this paper, we propose the use of perceptive scalogram, which is a kind of time-scale distribution of...

Face recognition relies heavily on feature extraction and the classification of features in the process of pattern recognition. Existing methods tend to address the problem with some tradeoff between the speed and accuracy in the process. In this paper, a system known as elastic graph dynamic link model (EGDLM) is proposed to provide an effective a...

Weather forecasting has been one of the most challenging problems around the world for more than half a century. Not only because of its practical value in meteorology, but it is also a typically “unbiased” time-series forecasting problem in scientific researches. The paper describes the methodology to short-term rainfall forecasting using neural n...

In this paper, an elastic graph dynamic link model (EGDLM) is proposed to automate the satellite interpretation process (Dvorak technique) and provide an objective analysis for tropical cyclones. The method integrates dynamic link architecture (DLA) for neural dynamics and the active contour model (ACM) for contour extraction of tropical cyclone (T...

Describes an integrated system for automatic face coding and recognition. The proposed system consists of three modules: (1) a contour mask fitting module using an active contour model (ACM); (2) an automatic facial “landmark” extraction module using a Gabor filter; and 3) an elastic graph matching module using an elastic graph dynamic link model (...

Proposes a new application of evolutionary computing - the neural oscillatory elastic graph matching model (NOEGM) for the recognition of offline handwritten Chinese characters. NOEGM consists of three main modules, namely: (1) a feature extraction module using a Gabor filter; (2) a character segmentation module using a neural oscillatory model; an...