다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

Data Mining Practical Machine Learning Tools and Techniques

物件導向軟體之架構(Object-Oriented Software Construction)探討

http://homepage.cs.latrobe.edu.au/sloke/papers/1-s2.0-S0167739X12001318-main.pdf

Mobile cloud computing

Differential Evolution (DE) is arguably one of the most powerful and versatile evolutionary optimizers for the continuous parameter spaces in recent times. Almost 5 years have passed since the first comprehensive survey article was published on DE by Das and Suganthan in 2011. Several developments have been reported on various aspects of the algorithm in these 5 years and the research on and with DE have now reached an impressive state. Considering the huge progress of research with DE and its applications in diverse domains of science and technology, we find that it is a high time to provide a critical review of the latest literatures published and also to point out some important future avenues of research. The purpose of this paper is to summarize and organize the information on these current developments on DE. Beginning with a comprehensive foundation of the basic DE family of algorithms, we proceed through the recent proposals on parameter adaptation of DE, DE-based single-objective global optimizers, DE adopted for various optimization scenarios including constrained, large-scale, multi-objective, multi-modal and dynamic optimization, hybridization of DE with other optimizers, and also the multi-faceted literature on applications of DE. The paper also presents a dozen of interesting open problems and future research issues on DE.

Recent advances in differential evolution – An updated survey

Atherosclerosis is a multifactorial disease that affects a significant number of people during their lifetime. It is a pathology clinically silent for years that develops with a gradual thickening of the vessel walls and a consecutive formation of plaque. This is the cause of several dangerous conditions such as ischemic stroke, the most common cause of stroke in middle-aged people. To avoid and reduce these events a continuos and meticulous monitoring of patients with any carotid diseases is necessary. This paper presents an objective measure of the progression of a carotid patology. An index capable of distinguishing between the initial state of thickening of the carotid arterial walls and the successive presence of more serious plaque has been defined. The presence of thickening or plaque is estimated by evaluating Heart Rate Variability. This is a non-invasive approach, able to estimate characteristic parameters in an easy and efficient way, constituting an accurate and optimum instrument for a real-time continuous monitoring. Locally Weighted Learning has been used to automatically find a relationship between these parameters and the presence of a disorder, tested on an available dataset.

An Objective Measure of Carotid Disease Based on a Multiparameter Approach

This paper deals with the modeling and the automatic implementation of constraints in component based applications. Constraints have been assuming an ever more relevant role in modeling distributed systems as long as business rules implementation, design-by-contract practice, and fault-tolerance requirements are concerned. Nevertheless, component developers are not sufficiently supported by existing tools to model and implement such features. In this paper, we propose a set of tools that enable developers both to model component constraints and to automatically generate component skeletons that already implement such constraints.

Supporting tools for designing-by-contract in component-based applications

Nowadays, mHealth applications have been evolving in the form of pervasive solutions for supporting healthy life-style and wellness self-management. In such a direction, the Italian project “Smart Health 2.0” realized innovative technological infrastructures, on which different mHealth applications and services were developed, aimed at remotely supporting individuals in diseases prevention and improving their welfare and life styles. In this paper, the ontology-based approach proposed in the project to represent, share, and reason on the knowledge characterizing a subject within mHealth applications is presented. The proposed approach uses a hybrid strategy integrating ontology models and deductive rules built on the top of them. In order to better describe the proposed approach, a case of application has been presented with respect to an mHealth application designed for managing diet according to given daily caloric needs.

An Ontology-Based Approach for Representing Medical Recommendations in mHealth Applications

This paper presents an advanced ubiquitous system for home health monitoring. The main goal of the research presented in this paper is to develop a user-friendly and context-aware system that uses a rule-based Decision Support System to elaborate the data captured by the sensors. The paper also describes a case study where important benefits for patients have been revealed thanks to the use of the proposed home health monitoring system.

A U-HealthCare System for Home Monitoring

Voice disorders, also called dysphonia, are qualitative and quantitative alterations of the voice. These pathologies,

unfortunately, affect from 6% to 38% of children in the world. Voice disorders may have a negative

impact on communication effectiveness, social development and self-esteem. The first weapon against the

diffusion and the worsening of these pathologies is prevention. Acoustic analysis is one of the most important

tools to appraise the state of health of a voice. It provides information about the possible presence of voice

disorders by evaluating specific parameters like the Fundamental Frequency. In this paper we present an easy

approach based on a mobile application for voice screening in children. The app provides a robust methodology

for the fundamental frequency estimation of the voice signal by analysing in real time a childâs signal. It

consists of a continuous vocalization of the vowel /a/ of five seconds in length. The methodology is also able

to evaluate undesired noise that can alter the Fundamental Frequency estimation and the correct classification

of the evaluated voice signal as pathological or healthy.

Giuseppe De Pietro

Papers

An Objective Measure of Carotid Disease Based on a Multiparameter Approach

Supporting tools for designing-by-contract in component-based applications

An Ontology-Based Approach for Representing Medical Recommendations in mHealth Applications

A U-HealthCare System for Home Monitoring

An Easy Approach for the Classification of Childrenźs Voices based on the Fundamental Frequency Estimation