3225 Chapters
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Medium 9781601322470

An Approach for Norm-Based Behavior Modification in Model-Based Reflex Agents

Hamid R. Arabnia; David de la Fuente; Elena B. Kozerenko; Peter M. LaMonica; Raymond A. Liuzzi; Todd Waskiewicz; George Jandieri; Ashu M. G. Solo; Ivan Nunes da Silva; Fernando G. Tinetti; and Fadi Thabtah (Editors) Mercury Learning and Information PDF

Int'l Conf. Artificial Intelligence | ICAI'13 |

17

An Approach for Norm-Based Behavior Modification in Model-Based Reflex Agents

Gustavo A. L. Campos1, Emmanuel S. S. Freire1, Mariela I. Cortés1 and Wamberto W. Vasconcelos2

1

Science Computer Department, State University of Ceará, Fortaleza, Ceará, Brazil

2

Department of Computing Science, University of Aberdeen, Aberdeen, UK

Abstract—Norms in multi-agent systems are used to regulate the behavior of agents, organizations and sub-organizations in their environments during a period of time. Much of the work on norms focuses on the specification and maintenance of normative system. Little work concentrate on the level of individual agents as the impact of norms on the different types of intelligent agent programs, as the internal modifications in the agents´ decision processes and the background information necessary for rationality in an environment governed by rules. This paper is a contribution in this direction to the case of modelbased reflex agent. An approach to extend this type of agent was formalized and validated it in an implementation of a simple world in the

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Medium 9781601322548

A New Multi-phase Soft Segmentation with Adaptive Variants

Hamid R. Arabnia; Leonidas Deligiannidis; Joan Lu; Fernando G. Tinetti; Jane You; George Jandieri; Gerald Schaefer; Ashu M. G. Solo; and Vladimir Volkov (Editors) Mercury Learning and Information PDF

Int'l Conf. IP, Comp. Vision, and Pattern Recognition | IPCV'13 |

739

A New Multi-phase Soft Segmentation with Adaptive Variants

Hongyuan Wang1 , Fuhua Chen2 of Information Science & Engineering, Changzhou University, Changzhou, Jiangsu, China

2 Dept. of Natural Science & Mathematics, West Liberty University, West Liberty, WV, USA

1 School

Abstract— In this paper, we proposed a multiphase soft segmentation model for nearly piecewise constant images based on stochastic principle, where pixel intensities are modeled as random variables with mixed Gaussian distribution. The novelty of this paper mainly lies in using adaptive variants.

Unlike some existing models where the mean of each phase is modeled as a constant and the variances for different phases are assumed to be the same, the mean for each phase in the Gaussian distribution in this paper is modeled as a product of a constant and a bias field, and different phases are assumed to have different variances, which makes the model more flexible. In addition, we developed a bi-direction projected primal dual hybrid gradient (PDHG) algorithm for iterations of membership functions.

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Medium 9781601322340

Classification of Vocal Fold Diseases Using RASTA-PLP

Hamid R. Arabnia; Quoc-Nam Tran (Editors) Mercury Learning and Information PDF

Int'l Conf. Bioinformatics and Computational Biology | BIOCOMP'13 |

Classification of Vocal Fold Diseases Using RASTA-PLP

Mansour Alsulaiman, Ghulam Muhammad and Zulfiqar Ali

Speech Processing Group, College of Computer and Information Sciences, King Saud University,

Riyadh 11543, Saudi Arabia

Email: {msuliman, ghulam, zuali}@ksu.edu.sa

Abstract-Various techniques of speech/speaker recognition has implemented in voice pathology assessment systems in the last decade. Classification of the vocal fold disorders is a difficult task as compares to disorder detection. In this paper, RASTA-PLP (Relative Spectral Transform Perceptual

Linear Predictive) is deployed for the classification of four different types of vocal fold disorders. Sixty five dysphonic patients, containing male and female, of cyst, GERD, Polyp, and sulcus are taken into account. The diseases are classified by use of multi-class SVM. The results obtained are very encouraging. It is found that 100% classification rate can be achieved by choosing the suitable word for each disease.

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Medium 9781601322401

Improving Knowledge Management in e-Learning: A Contingent Framework for Efficient Knowledge Transfer

Hamid R. Arabnia; Azita Bahrami; Fernando G. Tinetti; Leonidas Deligiannidis; George Jandieri; and Ashu M. G. Solo (Editors) Mercury Learning and Information PDF

Int'l Conf. e-Learning, e-Bus., EIS, and e-Gov. | EEE'13 |

17

Improving Knowledge Management in e-Learning:

A Contingent Framework for Efficient

Knowledge Transfer

1

Dr. Anitha Chennamaneni1 and Jayson G. Brown1

Computer Information Systems, Texas A&M University – Central Texas, Killeen, TX, USA

Abstract - Knowledge management (KM) is the top most important factor in e-Learning. This research paper explores the role of KM in e-Learning and develops a conceptual framework for successfully managing and transferring knowledge. We review different types of knowledge and discuss how varied KM techniques, e-Learning technologies, platforms and possible solutions improve KM and knowledge transfer in e-Learning programs. Our research framework is grounded theoretically in the knowledge creation theory and the media richness theory. This framework is extremely useful to the academicians and practitioners alike as it guides them in implementing a respectable pedagogy for effectively managing and transferring knowledge in the e-Learning environment.

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Medium 9781601323224

Joint of Feedback and Feedforward Controller on Application to Wireless Tele-Control System Considering Uncertainty

Hamid R. Arabnia, Leonidas Deligiannidis, George Jandieri, Ashu M. G. Solo, Fernando G. Tinetti CSREA Press PDF

Int'l Conf. Wireless Networks | ICWN'14 |

125

Joint of Feedback and Feedforward Controller on Application to Wireless Tele-Control System Considering Uncertainty

1

Faramarz Alsharif,2Shiro Tamaki, 3Katsumi Yamashita,4Tustomu Nagado,5Mohammad Reza Alsharif and

6

Heung Gyoon Ryu

1, 2, 4, 5

Graduate School of Engineering and Science

University of the Ryukyus

Nishihara, Japan

3

Osaka Prefecture University

Osaka, Japan

6

Chungbuk National University

Cheongju, South Korea

Department of Electronic Engineering

1 faramarz_asharif@yahoo.com

2 shiro@ie.u-ryukyu.ac.jp

3 yamashita@comm.ees.osakafu-u.ac.jp

4 nagado@eee.u-ryukyu.ac.jp

5 asharif@ie.u-ryukyu.ac.jp

6 ecomm@chungbuk.ac.kr

Abstract—� In this paper, we aim to design a Tele-Control system for the closed-loop control system. Tele-Control system consists of control plant, controller, feedforward channel and feedback channel in the closed-loop control system. Feedforward channel is located between controller and control plant and feedback channel, respectively. Basically, channels would be a multipath channel due to the propagated wave reflections.

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Medium 9781601323170

Web Programming Curriculum: What Changes, What Remains the Same Over Time

Hamid R. Arabnia Azita Bahrami, Leonidas Deligiannidis, George Jandieri, Ashu M. G. Solo, and Fernando G. Tinetti CSREA Press PDF

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Medium 9788131807026

Ch_9

Dr. V.N. Kala; Rajeshri Rana Laxmi Publications PDF

Chapter

9

DIAGONALISATION OF MATRICES

9.1

MATRICES SIMILARITY

Any two square matrices A and B, having same order (say n) are said to be similar if there exists a non-singular matrix P such that B = P–1 AP.

Here B is said to be similar to A.

9.2

THEOREMS ON MATRICES SIMILARITY

Theorem 1. Similarity of matrices is an equivalence relation.

Proof: Let A and B are any two matrices of order n ´ n, then B is said to be similar to A if there exists an invertible matrix P also of order n ´ n, such that

B = P–1 AP.

Reflexivity: Let A be any matrix of n order. So we can write A as A = I–1 . AI where I is unit matrix of order n. So A is similar to A and hence matrix A is similar to itself.

Symmetry: Let A be similar to B, then to prove B is similar to A. As A is similar to B, therefore there exists a n ´ n, non-singular matrix P such that A = P–1 BP

PAP–1 = P (P–1 . BP) P–1

PAP–1 = B

B = PAP–1

B = (P–1)–1 AP–1

[Q P is invertible Þ P–1 is invertible Þ (P–1)–1 = P]

= B is similar to A.

Transitivity: Let A be similar to B and B be similar to C, then to prove that A is similar to C.

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Medium 9781601322470

Functional and Cognitive Aspects in Linguistic Modelling

Hamid R. Arabnia; David de la Fuente; Elena B. Kozerenko; Peter M. LaMonica; Raymond A. Liuzzi; Todd Waskiewicz; George Jandieri; Ashu M. G. Solo; Ivan Nunes da Silva; Fernando G. Tinetti; and Fadi Thabtah (Editors) Mercury Learning and Information PDF

Int'l Conf. Artificial Intelligence | ICAI'13 |

896

Functional and Cognitive Aspects in Linguistic Modelling

E. Kozerenko

Institute of Informatics Problems of the Russian Academy of Sciences, Moscow, Russia

Abstract - The paper focuses on the issues of establishing transferable language phrase structures. The approach employed is based on generalized cognitive entities manifested in the categorial systems of the English and

Russian languages and functional roles of language units in a sentence. The formalism developed for presentation of syntactic structures for the English-Russian machine translation is a variant of unification grammar and comprises about three hundred rules. A number of declarative modules of linguistic processors were designed and implemented within the framework of machine translation system“Cognitive Translator” and knowledge extraction systems.

Keywords: machine translation, syntax, semantics, setphrase dictionaries, machine learning, translation memory

1

Introduction

To face the problems of language structures transferability for machine translation (MT), it is necessary to consider human translation experience. Translation is a creative and sophisticated human activity, hence, producing automatically a high-quality translation of an arbitrary text from one language to another is a task too far from its complete implementation. However, for simpler tasks, such as acquiring information on the Web, getting acquainted with subject domain information, etc., rough translation output without post editing can be quite adequate. One of the domains where MT works best is scientific discourse.

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Medium 9781601322586

Performance model for Master/Worker hybrid applications

Hamid R. Arabnia; Hiroshi Ishii; Minoru Ito; Hiroaki Nishikawa; Fernando G. Tinetti; George A. Gravvanis; George Jandieri; and Ashu M. G. Solo (Editors) Mercury Learning and Information PDF

Int'l Conf. Par. and Dist. Proc. Tech. and Appl. | PDPTA'13 |

365

Performance model for Master/Worker hybrid applications

Abel Castellanos1 , Andreu Moreno2 , and Tomàs Margalef1

1 Departament Arquitectura de Computadors i Sistemes Operatius, Universitat Autonoma de Barcelona, Spain

2 Escola Universitaria Salesiana de Sarria, Barcelona, Spain

Email: acastellanos@caos.uab.es, amoreno@euss.cat, tomas.margalef@uab.es

Abstract— Master/worker is a commonly used parallel/distributed programming paradigm. Many applications are developed following such paradigm. This paradigm can be easily implemented using message passing programming libraries (MPI), but moreover, the multicore features of current nodes can be exploited at the node level by applying thread parallelism (OpenMP). In this way Master/Worker applications are implemented as hybrid applications. However, reaching the expected performance indexes is not so easy, because there are several parameters (number of nodes, number of threads per node, data distribution, ...) that must be tuned for each particular application or even during the execution of the application to reach a successful performance. So, a performance model for hybrid Master/Worker applications has been developed and is presented in this paper. This model can be applied during the execution of a Master/Worker application to determine dynamically the adequate configuration of the system and/or application to reach the best possible performance.

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Medium 9781683921837

Poster and Position Papers

Edited by Ken Ferens, Hamid R. Arabnia, Fernando G. Tinetti CSREA Press PDF

Int'l Conf. on Advances on Applied Cognitive Computing | ACC'17 |

SESSION

POSTER AND POSITION PAPERS

Chair(s)

Dr. Ken Ferens

ISBN: 1-60132-449-9, CSREA Press ©

71

72

Int'l Conf. on Advances on Applied Cognitive Computing | ACC'17 |

ISBN: 1-60132-449-9, CSREA Press ©

Int'l Conf. on Advances on Applied Cognitive Computing | ACC'17 |

73

Improving cognitively impaired people by innovative technologies

L. Spiru1,2, I. Turcu1, M. Marzan1, S. A. Sterea1,2

Memory Clinic and Rehabilitation Centre, Ana Aslan International Foundation, Bucharest, Romania

2

Elias University Clinic of Geriatrics-Gerontology and Old Age Psychiatry, Carol Davila University of

Medicine and Pharmacy, Bucharest, Romania

1

Abstract - There is a constant concern for innovative solutions able to meet the special motor and/or cognitive needs of old persons. Since 2006, the AAIF’s R&D department is involved in this research area as medical partner and end-user organization. For testing, evaluating and validating advanced-technology-based platform, AAIF has run the local field trials with primary end-users (PEUs)persons with Mild-to-Moderate Dementia (Confidence project), Parkinson Disease (Live Well) or elderly with compensated motor and/or sensory disabilities (Senior TV,

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Medium 9781601323101

MapReduce-Accelerated Framework for Identifying Minimum-Sized Influential Vertices on Large-Scale Weighted Graphs

Hamid R. Arabnia, Mary Q. Yang, George Jandieri, James J. (Jong Hyuk) Park, Ashu M. G. Solo, and Fernando G. Tinetti CSREA Press PDF

Int'l Conf. on Advances in Big Data Analytics | ABDA'14 |

203

MapReduce-Accelerated Framework for Identifying Minimum-Sized

Influential Vertices on Large-Scale Weighted Graphs

Ying Xie1 , Jing (Selena) He1 , and Vijay V. Raghavan2

1 Department of Computer Science, Kennesaw State University, Kennesaw, GA, USA

2 The Center for Advanced Computer Studies, University of Louisiana at Lafayette, Lafayette, LA, USA

Abstract— Weighted graphs can be used to model any data sets composed of entities and relationships. Social networks, concept networks and document networks are among the types of data that can be abstracted as weighted graphs.

Identifying Minimum-sized Influential Vertices (MIV) in a weighted graph is an important task in graph mining that gains valuable commercial applications. Although different algorithms for this task have been proposed, it remains challenging for processing web-scale weighted graph. In this paper, we propose a highly scalable algorithm for identifying

MIV on large-scale weighted graph using the MapReduce framework. The proposed algorithm starts with identifying an individual zone for every vertex in the graph using an

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Medium 9781601323606

SESSION Science, Technology, Engineering and Mathematics- STEM Education and Computational Science

Hamid Arabnia, Azita Bahrami, Leonidas Deligiannidis CSREA Press PDF

Int'l Conf. Frontiers in Education: CS and CE | FECS'16 |

SESSION

SCIENCE, TECHNOLOGY, ENGINEERING AND

MATHEMATICS - STEM EDUCATION AND

COMPUTATIONAL SCIENCE

Chair(s)

TBA

ISBN: 1-60132-435-9, CSREA Press ©

27

28

Int'l Conf. Frontiers in Education: CS and CE | FECS'16 |

ISBN: 1-60132-435-9, CSREA Press ©

Int'l Conf. Frontiers in Education: CS and CE | FECS'16 |

29

ADDRESSING GLOBAL EDUCATION CONCERNS-TEACHING

COMPUTATIONAL THINKING

John N. Carbone, PhD, James A. Crowder, PhD

Raytheon Intelligence, Information and Services

{ jcarbone@raytheon.com, jacrowder@raytheon.com }

ABSTRACT

Although education is sometimes characterized by the daily heroic efforts of some teachers, voices across the global education continuum acknowledge numerous significant education failures. It is well known that many countries excel educating their masses where others fail. Countries perceived to excel are also known to place extraordinary pressure upon their students. Others, which also excel, have also been known to still have high illiteracy rates.

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Medium 9781601322586

Inferring Strengths of Protein-Protein Interactions Using Support Vector Regression

Hamid R. Arabnia; Hiroshi Ishii; Minoru Ito; Hiroaki Nishikawa; Fernando G. Tinetti; George A. Gravvanis; George Jandieri; and Ashu M. G. Solo (Editors) Mercury Learning and Information PDF

Int'l Conf. Par. and Dist. Proc. Tech. and Appl. | PDPTA'13 |

131

Inferring Strengths of Protein-Protein Interactions Using Support

Vector Regression

Yusuke Sakuma, Mayumi Kamada, Morihiro Hayashida, and Tatsuya Akutsu

Bioinformatics Center

Institute for Chemical Research

Kyoto University

Gokasho, Uji, Kyoto 611–0011, Japan

Email: {sakuma, kamada, morihiro, takutsu}@kuicr.kyoto-u.ac.jp

Abstract— Protein-protein interactions (PPIs) play various important roles in living organisms. Hence, many efforts have been made to investigate and predict

PPIs. Analysis of strengths of PPIs is important as well as PPIs because such strengths are involved in functionality of proteins. In this paper, we propose several feature space mappings from protein pairs, which make use of protein domain information, and perform five-fold cross-validation for data obtained from biological experiments. The result of average root mean square error (RMSE) using support vector regression (SVR) with our proposed feature was better than that by the best existing method, APM proposed by Chen et al.

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Medium 9781601322418

FPGA Implementation of a Compact Genetic Algorithm using Cellular Automata Pseudo-Random Generator

Hamid R. Arabnia; Leonidas Deligiannidis; George Jandieri; Ashu M. G. Solo; and Fernando G. Tinetti (Editors) Mercury Learning and Information PDF

34

Int'l Conf. Embedded Systems and Applications | ESA'13 |

FPGA Implementation of a Compact Genetic Algorithm using Cellular Automata Pseudo-Random Generator

Marco A. Moreno-Armend´ ariz1 , Carlos A. Cruz-Villar2 , Victor H. Ponce-Ponce1

1 Centro de Investigaci´ on en Computaci´on, Instituto Polit´ecnico Nacional,

Av. Juan de Dios B´ atiz s/n, M´exico D.F., 07738, M´exico. email: mam− armendariz@cic.ipn.mx

2 Secci´ on de Mecatr´onica, CINVESTAV, Av. Instituto Polit´ecnico Nacional 2508,

Apdo. Postal 14 740, M´exico D.F., M´exico

Abstract— In this paper the design and implementation of the compact Genetic Algorithm (cGA) and a Cellular

Automata-based pseudo-random number generator on a Field Programmable Gate Arrays (FPGA) is accomplished. The design is made using the Hardware

Description Language, called VHDL. Accordingly, the obtained results show that it is viable to have this searching algorithm in Hardware to be used in real time applications.

Keywords: Compact Genetic Algorithm; Cellular Automata; FPGA design.

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Medium 9781601322609

XCD – A Design-by-Contract Architecture Description Language

Hamid R. Arabnia; Leonidas Deligiannidis; George Jandieri; Vince Schmidt; Ashu M. G. Solo; and Fernando G. Tinetti (Editors) Mercury Learning and Information PDF

124

Int'l Conf. Software Eng. Research and Practice | SERP'13 |

X CD – A Design-by-Contract Architecture Description Language

Mert Ozkaya and Christos Kloukinas

Department of Computer Science, City University London, London, EC1V 0HB, UK

Abstract— Software architecture description languages

(ADL) have been proposed as a way to properly specify the architectures of complex software systems, in a way that allows both communication among the different stakeholders and an early analysis of these systems for a number of properties. However, practitioners seem to have shunned the ADL developed in academia and mainly use other modeling languages, that were not originally created for describing architectures. In a recent survey, practitioners have expressed a wish for analyzing their architectures

(esp. for non-functional properties) and at the same time expressed their dissatisfaction with existing ADL, finding that the formal notations they use have a learning curve that they perceive as being too steep.

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