Computer Communication & Collaboration

Computer Communication & Collaboration

ISSN:2292-1028 (Print)    ISSN:2292-1036(Online)

Vol. 4, Issue 4 (2016.11)

Table of Contents

Editorial Board of CCC

Articles

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1. Generalized Kernel Discriminant Analysis using Weighting Function with Applications to Feature Extraction [Download PDF]

Authors:

Jing Yang(Corresponding author), Liya Fan , Quansen Sun

Abstract:

Linear discriminant analysis (LDA) is a classical approach for dimensionality reduction. However, LDA has shortcomings in that one of the scatter matrices is required to be nonsingular and the nonlinearly clustered structure is not easily captured, moreover, the adverse effects due to outlier classes also affect the performance of LDA. In order to solve these problems, in this paper, several nonlinear generalizations of LDA using weighting function are presented and called them weighted generalized KDA algorithms. Experiments on three real-world data sets are performed to evaluate the effectiveness of the proposed algorithms and the effect of weights on kernel functions. The results show that the effect of weighted schemes on kernel functions is very significantly.

Keywords:

Kernel discriminant analysis, Undersampled problem, Weighting function, Kernel function, Misclassification rate

2. A Cost-Effective Framework for Remote Patient Monitoring using a Wearable Device and Cloud Computing [Download PDF]

Author:

Yasin Mamatjan(Correspondence author), Ufuk Ozkanli, Kurban Ubul

Abstract:

Due to elderly aging problems, increased cost of regular screening and continuous patient monitoring, there is a clinical need for practical patient monitoring in or out of hospital, and to continuously provide warning in case of sudden changes in patient status. The aim of this paper is to design a framework for ubiquitous patient monitoring and signal analysis by exploiting a powerful Cloud Application (with high efficiency, wide accessibility and high scalability on the server side), while constructing a cost-effective, ubiquitous and portable system on the consumer side so that a common man can afford it. The portable device can be used to monitor an individual in case of any sudden changes in a person and display the results via commonly available Smartphone in real-time. The data can also be saved and sent to hospital or the people concerned through SMS, Email, or Cloud to the analysis center (Cloud Application Center), which analyzes the data on the database and classifies patient disease to inform doctors to make further diagnoses and take an action in fast and efficient manner. This study designed and evaluated an integrated software and a wearable device to acquire vital sign data from temperature sensors, heartbeat sensors and Electrocardiogram (ECG). The evaluation results showed the suitability of the wearable device with Cloud data services that increases system performance and accessibility worldwide for ubiquitous monitoring of vital signs.

Keywords:

Electrocardiography (ECG), Heartbeat, IOIO-OTG, Cloud Computing, Wearable Device, Android

3. Prioritization of Improvement Projects in European Function for Quality Management (EFQM) model using an integrated Analytic Network Process (ANP) and Quality Function Deployment (QFD) approach [Download PDF]

Author:

Z. Fathi, Sh. Moslemi, A. Mirzazadeh(Correspondence author)

Abstract:

Performance Improvement projects based on EFQM model guide the organization to raise its excellence position to better one. On the contrary, selection the ineffectiveness projects will result to wasting resources. So the using of the best tool for selection and prioritizing the effective improvement projects, leads the organizations to achieve its goals with maximum productivity. The aim of this research is proposing an approach for prioritizing improvement projects in EFQM excellence model based on analytic network process (ANP) and quality function deployment (QFD) methods. The proposed model has been tested by a real case application, which refers to an Iranian company operating in the automotive industry. In this case, the mixture of 40 improvement projects and sub-projects with ?ve EFQM enabler criteria has been characterized by using of the research model. Also, the test of the hypothesis of this research has been done by using Spearman correlation coef?cient.

Keywords:

EFQM, Improvement Projects, QFD, ANP

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