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Determination of Significant Features to Precancerous Cervical Classification

Determination of Significant Features to Precancerous Cervic...

引用

2013 aasri conference on intelligent systems and control（isc 2013）

作者： A.Aguilera M.Palma R.Mata-Toledo Center of Analysis Modelling and Treatment of DataCAMYTDFACYTUniversidad de Carabobo Computer Science Department James Madison University

Feature selection is a process used in the automatic learning that consists in selecting an optimal subset of features of a database to reduce its dimensionality,remove noise and improve performance of a learning *** is,improve the learning speed,precision prediction(measured by the hit rate) and comprehensibility of the results *** aim of this paper is to apply such techniques of dimensionality reduction on processed image features extracted through textural *** processed images were obtained through the colposcope as part of routine gynaecological *** a practical point of view the authors try to extract patterns from the processed images to classify the existing cervix lesions with diagnostic *** resulting attributes of the image processing were analysed using supervised classification techniques of data mining.

关键词： Feature Selection Classification,Cervical Lesio

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Towards a New Approach for Securing IMS Networks

Towards a New Approach for Securing IMS Networks

引用

2013 aasri conference on intelligent systems and control（isc 2013）

作者： E.Belmekki II,Faculte des Sciences et Techniques B.Raouyane M.Bellafkih N.Bouaouda II,Faculte des Sciences et Techniques LR Networks Labotatory Institut nationale de Poste et Telecommunication

IMS presents an innovation in the world of telecommunications by providing a concrete control Platform;the platform enables the delivery of multimedia services with high QoS range and with a soft convergence from circuit-switched services to the switching packet world. The IMS can unify access to multiple technologies and equipment-based ***, the heterogeneity of access and technology imposes a challenge or repercussion in QoS, mobility and *** article focuses on the importance of security, and it proposes a conceptual analysis on existing standards. Finally we propose an approach that meets the needs of a network such as IMS. The study focuses the main interfaces of IMS and security around and inside network with a sensitive context.

关键词： IMS(IP Multimedia System) Security TVRA(Threat and Vulnerability Risk Assessments) RTP(Real-Time Protocol) SIP(Session Initiation Protocol)

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Airwaves Prediction Model for Shallow Water Marine control Source Electromagnetic Data

Airwaves Prediction Model for Shallow Water Marine Control S...

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2013 aasri conference on intelligent systems and control（isc 2013）

作者： Muhammad Abdulkarim Afza Shafie Wan Fatimah Wan Ahmad Radzuan Razali Department of Computer & Information Sciences Universiti Teknologi PETRONAS Department of Fundamental & Applied Sciences Universiti Teknologi PETRONAS

One of the main challenges of using Marine control Source Electro-Magnetic（MCSEM） sounding for Hydrocarbon detection has been the airwaves phenomena. In shallow water the response from the air half-space often masks the response from the subsurface. In this paper we present a curve fitting approach to identify a mathematical function or model that best describes the pattern of the airwaves data. The identified model can serve as a prediction model for the *** data are simulated in a geologic model that is fairly representative of the area where real MCSEM data were collected. Root Mean Square Error（RMSE）, Sum of Square Error（SSE） and Coefficient of determination（R） were used to evaluate the performance of the prediction model. The result indicates that exponential decay function can describe the airwaves data with RMSE of 3.1e-7, SSE of 1.3e-11 and R of 0.990.

关键词： Airwaves Coefficient of Determination Exponential Curve Fitting Hydrocarbon MCSEM RMSE SSE

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Optimization of Semi-Active Suspension System Using Particle Swarm Optimization Algorithm

Optimization of Semi-Active Suspension System Using Particle...

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2013 aasri conference on intelligent systems and control（isc 2013）

作者： Abroon Jamal Qazi Umar A.Farooqui Afzal Khan M.Tahir Khan Farrukh Mazhar Ali Fiaz Department of Mechanical Engineering University of Engineering and Technology National University of Science and Technology

The paper involves modeling of quarter car models of passive and various semi-active suspension ***-active suspension is better than the passive and active suspensions based on optimum performance within the constraints of weight and operational *** logic controllers are incorporated in the design scheme of semi-active *** logic based systems can handle non-linearities through heuristic *** swarm optimization technique is applied in order to determine the optimized scaling factors keeping the normalized ranges of inputs and output of fuzzy logic *** performance of resulting optimized system is compared with different systems based on various control algorithms(including passive system).The models are compared for attributes of road handling and ride *** results clearly manifest supremacy of fuzzy logic based particle swarm optimized semi-active suspension system in relation to all other *** research presents an innovative approach of utilizing relative displacement and relative velocity as the input parameters resulting in no overshoot of the suspension displacement.

关键词： semi-active suspension fuzzy logic controller heuristic rules particle swarm optimization

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Off-Line Handwritten Character Recognition using Features Extracted from Binarization Technique

Off-Line Handwritten Character Recognition using Features Ex...

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2013 aasri conference on intelligent systems and control（isc 2013）

作者： Amit Choudhary Rahul Rishi Savita Ahlawat Maharaja Surajmal Institute UIET Maharshi Dayanand University Maharaja Surajmal Institute of Technology

The choice of pattern classifier and the technique used to extract the features are the main factors to judge the recognition accuracy and the capability of an Optical Character Recognition（OCR） system. The main focus of this work is to extract features obtained by binarization technique for recognition of handwritten characters of English language. The recognition of handwritten character images have been done by using multi-layered feed forward artificial neural network as a classifier. Some preprocessing techniques such as thinning, foreground and background noise removal, cropping and size normalization etc. are also employed to preprocess the character images before their classification. Very promising results are achieved when binarization features and the multilayer feed forward neural network classifier is used to recognize the off-line cursive handwritten characters.

关键词： OCR Binarization Feature Extraction Character Recognition Backpropagation Algorithm Neural Network

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Modeling the Lane Contention Algorithm for control in intelligent Vehicular systems

Modeling the Lane Contention Algorithm for Control in Intell...

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2013 aasri conference on intelligent systems and control（isc 2013）

作者： Mayur Parulekar V.Ramesh Prasad Joshi Viraj Padte Dhaval Shroff Research & Innovation Center D.J Sanghvi College

Delegating the responsibility of safe driving on an autonomous vehicle needs the autonomous system to be extremely *** an attempt to design a robust guidance system for the autonomous vehicle we decided to go refer the most complex system designed which is "humans".In humans we peculiarly observe that there exists an array of senses we possess that provide the required robustness and efficiency in chores that we *** clearly displays that in human beings the various senses we possess precisely complement each other to support a *** this basis we propose an introduction to optimization of lane detection and *** the scalability of computation for smart vehicles such as auto park assist,cruise mode or auto lane keep assist continue to grow for driverless manoeuvre thus removing the possibility of manual or judgmental error in *** model a ground vehicle in a turning manoeuvre,such as a step lane-change where modeling process follows that of a vehicle undergoing translational as well as rotational *** shall be using this to design the control algorithm for executing a lane change maneuver under a safety set of rules using Dynamic Matrix control which is a subset of the Model Predictive *** requires that we transform the vehicle lateral variable into the fixed *** application depends on recursively obtained sensor readings in a feedback loop mode for processing and deploying a corrective action tot exploits non-linear functions of the state and finds control inputs such as state of system,position,acceleration,peer movement to recursively estimate and improve the quality of resulting estimation for collision avoidance and target localization.

关键词： Model predictive control dynamic matrix control labviwe vehicular localization lane contention

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Transparency Issues in a Hybrid Reasoning Architecture for Assistive Healthcare

Transparency Issues in a Hybrid Reasoning Architecture for A...

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2013 aasri conference on intelligent systems and control（isc 2013）

作者： Bingchuan Yuan John Herbert Department of Computer Science University College Cork

When pervasive computing is used to provide technology-driven assistive healthcare, there is a need for the system to be as sophisticated and adaptable as possible, while also being as transparent as possible for both subject and caregivers. A personalized, extensible hybrid reasoning framework has been implemented for the CARA(Context Aware Real-time Assistant) system which aims to satisfy these design goals. It provides context-aware sensor data fusion(including medical and environmental sensors) and incorporates anomaly detection mechanisms that support Activity of Daily Living(ADL) analysis and alert generation. The hybrid reasoning architecture incorporates both rule-based and case-based reasoning;this enables CARA to be more robust and to adapt to a changing environment by continuously retraining with new cases. The rules used for anomaly detection in a smart-home situation are given in a structured natural language,allowing subject or caregiver to inspect and, if appropriate, modify these rules;this supports the goal of transparency. For the case-based reasoning part, attention is drawn to the transparency issues that arise in the evaluation criteria used and interpretation of results.

关键词： Pervasive healthcare case-based reasoning rule-based system smart-home

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Detecting Malicious URLs in E-Mail—An Implementation

Detecting Malicious URLs in E-Mail—An Implementation

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2013 aasri conference on intelligent systems and control（isc 2013）

作者： Dhanalakshmi Ranganayakulu Chellappan C Adhiparasakthi Engineering College Anna University

The World Wide Web has become the most essential criterion for information communication and knowledge *** helps to transact information timely,rapidly and *** theft and identity fraud are referred as two sides of cybercrime in which hackers and malicious users obtain the personal data of existing legitimate users to attempt fraud or deception motivation for financial gain.E-Mails are used as phishing tools in which legitimate looking emails are sent making the genuine users identity with legitimate content with malicious *** helps to steal consumers' personal data such as user names,account numbers,passwords and other financial account *** E-Mails emerges or transforms as Phishing *** Mails plays a vital role in which the hackers pretends to be a legitimate sender posing to be from a legitimate organization which divulges the user to give his personal *** content may escape from Content based filters or the email may be without any body of the message except malicious URL in *** paper identifies malicious URLs in email through reduced feature set method.

关键词： Age of Domain Host based features Lexical features Malicious URLs Page rank Phishing

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Development of a CAD system for automatic classification of microcalcifications based on FPGA

Development of a CAD system for automatic classification of ...

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2013 aasri conference on intelligent systems and control（isc 2013）

作者： Tiago A.Dócusse Alexandre C.R.da Silva Aledir S.Pereira Norian Marranghello So Paulo State University

This paper presents a Computer Aided Diagnosis（CAD） system that automatically classifies microcalcifications detected on digital mammograms into one of the five types proposed by Michèle Le Gal, a classification scheme that allows radiologists to determine whether a breast tumor is malignant or not without the need for surgeries. The developed system uses a combination of wavelets and Artificial Neural Networks（ANN） and is executed on an Altera DE2-115 Development Kit, a kit containing a Field-Programmable Gate Array（FPGA） that allows the system to be smaller,cheaper and more energy efficient. Results have shown that the system was able to correctly classify 96.67% of test samples, which can be used as a second opinion by radiologists in breast cancer early diagnosis.

关键词： Image classification Cancer detection Mammography Embedded software

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The Supportive System for the Processing of Human and NonHuman Knowledge Sources and Combining Mining Techniques

The Supportive System for the Processing of Human and NonHum...

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2013 aasri conference on intelligent systems and control（isc 2013）

作者： Stefan Svetsky Oliver Moravcik Slovak University of Technology-Faculty of Materials Science and Technology in Trnava

In real life, an individual user must simultaneously process huge amounts of unstructured data, information and knowledge in various uncertain processes. Moreover, one must permanently switch between them. There are many single-purpose approaches for the processing of knowledge, mining techniques, soft computing or knowledge based systems. However, they are not very user friendly;this is why users need many software solutions to be sustainable. This paper refers to a multipurpose pre-programmed knowledge system called BIKE, which enables individuals to process knowledge and computerize knowledge-based processes as an allinone solution. The system works as an interactive software application based on database technology utilizing Boolean logic. It covers several fields in informatics, ongoing from an interdisciplinary definition of knowledge, knowledge tables, and the formulated batch knowledge-processing paradigm. This paper explains and illustrates how it works in practice on a personal level for individuals.

关键词： database technology system for knowledge processing mining techniques technology-enhanced learning FPW 2.6a

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