Medium 9781601324078

Artificial Intelligence: The 2015 WorldComp International Conference Proceedings, Volume 1

Views: 517
Ratings: (0)

 WorldComp is an international conference that serves researchers, scholars, professionals, students, and academicians who are looking to both foster working relationships and gain access to the latest research results. It is being held jointly (same location and dates) with a number of other research conferences; namely, The 2015 World Congress in Computer Science, Computer Engineering, and Applied Computing (WORLDCOMP'15). The Congress is among the top five largest annual gathering of researchers in computer science, computer engineering and applied computing. We anticipate to have attendees from about 85 countries/territories.

List price: $79.95

Your Price: $63.96

You Save: 20%

Remix
Remove
 

28 Slices

Format Buy Remix

Robitics and Applications

PDF

Int'l Conf. Artificial Intelligence | ICAI'15 |

3

Place Recognition and Topological Map Learning in a Virtual

Cognitive Robot

Paul R. Smart1 and Katia Sycara2

1 Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ UK ps02v@ecs.soton.ac.uk

2 Robotics Institute, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA katia@cs.cmu.edu

Abstract— An ACT-R cognitive model is used to control the spatial behavior of a virtual robot that is embedded in a three-dimensional virtual environment, implemented using the Unity game engine. The environment features a simple maze that the robot is required to navigate. Communication between ACT-R and Unity is established using a networkbased inter-operability framework. The ability of the robot to learn about the spatial structure of its environment and navigate to designated goal locations serves as a test of the ability of the framework to support the integrative use of cognitive architectures and virtual environments in a range of research and development contexts.

 

Robotics And Applications

PDF

Int'l Conf. Artificial Intelligence | ICAI'15 |

3

Place Recognition and Topological Map Learning in a Virtual

Cognitive Robot

Paul R. Smart1 and Katia Sycara2

1 Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ UK ps02v@ecs.soton.ac.uk

2 Robotics Institute, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA katia@cs.cmu.edu

Abstract— An ACT-R cognitive model is used to control the spatial behavior of a virtual robot that is embedded in a three-dimensional virtual environment, implemented using the Unity game engine. The environment features a simple maze that the robot is required to navigate. Communication between ACT-R and Unity is established using a networkbased inter-operability framework. The ability of the robot to learn about the spatial structure of its environment and navigate to designated goal locations serves as a test of the ability of the framework to support the integrative use of cognitive architectures and virtual environments in a range of research and development contexts.

 

Genetic Algorithms + Evolutionary Strategies and Computations + Optimization Methods

PDF

Int'l Conf. Artificial Intelligence | ICAI'15 |

69

Bound Smoothing with a Biased Random-Key Genetic Algorithm

Thiago Alves de Queiroz1 , Ivan da Silva Sendin2 , and Marcos Aur´elio Batista3 of Mathematics and Technology, Federal University of Goi´as - Campus Catal˜ao, Catal˜ao, Goi´as, Brazil.

E-mail: taq@ufg.br.

2 Faculty of Computing, Federal University of Uberlˆ andia, Uberlˆandia, Minas Gerais, Brazil.

E-mail: sendin@ufu.br.

3 Department of Computer Science, Federal University of Goi´ as - Campus Catal˜ao, Catal˜ao, Goi´as, Brazil.

E-mail: marcos.batista@catalao.ufg.br.

1 Institute

Abstract— In this work we solve a subproblem of the distance geometry problem in molecular conformation. The latter aims to determine the three-dimensional structure of a molecule from a set of imprecisely distances. We are interested only in the bound smoothing subproblem, which aims to tighten bounds from a set of lower and upper bounds on distance for pair of atoms. We apply a Biased

Random-Key Genetic Algorithm to solve this subproblem, where each entry of chromosomes indicates how to decrease a bound, with the fitness function measuring the violation of the triangle inequalities. Experimental results show the effectiveness of this algorithm to solve randomly generated instances for which real distances between atoms are known in advance.

 

Genetic Algorithms + Evolutionary Strategies and Computations + Optimization Methods

PDF

Int'l Conf. Artificial Intelligence | ICAI'15 |

69

Bound Smoothing with a Biased Random-Key Genetic Algorithm

Thiago Alves de Queiroz1 , Ivan da Silva Sendin2 , and Marcos Aur´elio Batista3 of Mathematics and Technology, Federal University of Goi´as - Campus Catal˜ao, Catal˜ao, Goi´as, Brazil.

E-mail: taq@ufg.br.

2 Faculty of Computing, Federal University of Uberlˆ andia, Uberlˆandia, Minas Gerais, Brazil.

E-mail: sendin@ufu.br.

3 Department of Computer Science, Federal University of Goi´ as - Campus Catal˜ao, Catal˜ao, Goi´as, Brazil.

E-mail: marcos.batista@catalao.ufg.br.

1 Institute

Abstract— In this work we solve a subproblem of the distance geometry problem in molecular conformation. The latter aims to determine the three-dimensional structure of a molecule from a set of imprecisely distances. We are interested only in the bound smoothing subproblem, which aims to tighten bounds from a set of lower and upper bounds on distance for pair of atoms. We apply a Biased

Random-Key Genetic Algorithm to solve this subproblem, where each entry of chromosomes indicates how to decrease a bound, with the fitness function measuring the violation of the triangle inequalities. Experimental results show the effectiveness of this algorithm to solve randomly generated instances for which real distances between atoms are known in advance.

 

Fuzzy Logic and Sets, Fuzzy Control and Applications

PDF

Int'l Conf. Artificial Intelligence | ICAI'15 |

141

Optimizing Cost with Intelligent Energy Management

System based on Fuzzy Logic

1

Musbah Abdulgader1, Cheng Yang 1, and Devinder Kaur 1

Department of EECS, University of Toledo, Toledo, OH 43607 USA

Abstract - In this paper an Intelligent Energy

Management System based on fuzzy logic is proposed. The objective of the proposed strategy is to optimize the cost saving for the end consumer by determining the share of the power drawn from the grid or the Energy Storage Unit for each hour of the day, because the price of the energy varies each hour depending on the demand and is determined a day before. The strategy is based on Mamdani's Fuzzy Inference

System. The proposed design will also avoid overloading the grid during the periods of high demand by shifting the load to the ESU.

Keywords— Intelligent optimization; fuzzy logic

Energy

Management

System;

1. Introduction

Energy consumption is increasing worldwide [1]; therefore it makes good sense to lower the consumption from the grid generated using traditional methodology to reduce mankind’s footprint. The electricity bill of a large enterprise can be minimized by managing dynamic energy pricing [2] [3]. The wholesale electrical companies determine the cost of energy for each hour of the day at midnight before the day begins

 

Fuzzy Logic and Sets, Fuzzy Control and Applications

PDF

Int'l Conf. Artificial Intelligence | ICAI'15 |

141

Optimizing Cost with Intelligent Energy Management

System based on Fuzzy Logic

1

Musbah Abdulgader1, Cheng Yang 1, and Devinder Kaur 1

Department of EECS, University of Toledo, Toledo, OH 43607 USA

Abstract - In this paper an Intelligent Energy

Management System based on fuzzy logic is proposed. The objective of the proposed strategy is to optimize the cost saving for the end consumer by determining the share of the power drawn from the grid or the Energy Storage Unit for each hour of the day, because the price of the energy varies each hour depending on the demand and is determined a day before. The strategy is based on Mamdani's Fuzzy Inference

System. The proposed design will also avoid overloading the grid during the periods of high demand by shifting the load to the ESU.

Keywords— Intelligent optimization; fuzzy logic

Energy

Management

System;

1. Introduction

Energy consumption is increasing worldwide [1]; therefore it makes good sense to lower the consumption from the grid generated using traditional methodology to reduce mankind’s footprint. The electricity bill of a large enterprise can be minimized by managing dynamic energy pricing [2] [3]. The wholesale electrical companies determine the cost of energy for each hour of the day at midnight before the day begins

 

Knowledge Discovery and Machine Learning

PDF

Int'l Conf. Artificial Intelligence | ICAI'15 |

183

Cognitive RF Systems and EM Fratricide – Part III

Gerard T. Capraro

Capraro Technologies, Inc., 401 Herkimer Road, Utica, NY 13502 USA

Abstract

The United States Department of Defense and researchers throughout the world have been addressing the overcrowding of the radio frequency (RF) spectrum. When the frequency spectrum is measured over time, technologists have shown that the spectrum is underutilized. This has led to numerous studies concerning cognitive radios, networks, and radar systems to intelligently choose frequencies, waveform parameters, antenna beam patterns, etc. to operate with conventional receivers without causing electromagnetic (EM) fratricide. In many of these studies there is an inherent assumption that the cognitive system knows when and where the fratricide occurs. In two previous papers [11, 17] we presented two approaches for determining if a cognitive solution is causing EMI in nearby receivers. In this paper a solution requiring a new cognitive user to perform an analysis and negotiate a solution before transmitting is presented, thereby establishing that the EMI is due to fratricide and not some other phenomena such as spoofing. Five major issues are addressed related to this problem area and four are discussed in detail.

 

Knowlege Discovery and Machine Learning

PDF

Int'l Conf. Artificial Intelligence | ICAI'15 |

183

Cognitive RF Systems and EM Fratricide – Part III

Gerard T. Capraro

Capraro Technologies, Inc., 401 Herkimer Road, Utica, NY 13502 USA

Abstract

The United States Department of Defense and researchers throughout the world have been addressing the overcrowding of the radio frequency (RF) spectrum. When the frequency spectrum is measured over time, technologists have shown that the spectrum is underutilized. This has led to numerous studies concerning cognitive radios, networks, and radar systems to intelligently choose frequencies, waveform parameters, antenna beam patterns, etc. to operate with conventional receivers without causing electromagnetic (EM) fratricide. In many of these studies there is an inherent assumption that the cognitive system knows when and where the fratricide occurs. In two previous papers [11, 17] we presented two approaches for determining if a cognitive solution is causing EMI in nearby receivers. In this paper a solution requiring a new cognitive user to perform an analysis and negotiate a solution before transmitting is presented, thereby establishing that the EMI is due to fratricide and not some other phenomena such as spoofing. Five major issues are addressed related to this problem area and four are discussed in detail.

 

Knowlege Base Systems, Representation, Discovery + Information Engineering Methods and Related Issues

PDF

Int'l Conf. Artificial Intelligence | ICAI'15 |

221

Using Multiple Methods to Infer Classification with An

Incrementally Expanding Knowledge Base.

K.H. Cheng

Computer Science Department, University of Houston, Houston, Texas, USA

Abstract – Many problems are solvable by several alternative methods. Each method is associated with some level of confidence, which depends on the kind of knowledge used. In this paper, we identify several methods to infer the classification of a target. We develop two algorithms, one used when the target is a category, while the other when the target is an object of a category. Our solution applies the methods in the order of non-increasing level of confidence, and for methods with the same level of confidence, the more versatile method is used first. Besides the answer, our solution also provides the certainty of the obtained answer.

In the presence of incomplete knowledge, three-valued logic is involved in the reasoning of the answer. Our solution is designed to use knowledge at ancestor categories. This reduces drastically the total amount of knowledge required to be learned, thus alleviating the burden of the teacher.

 

Knowledge Base Systems, Representation, Discovery + Information Engineering Methods and Related Issues

PDF

Int'l Conf. Artificial Intelligence | ICAI'15 |

221

Using Multiple Methods to Infer Classification with An

Incrementally Expanding Knowledge Base.

K.H. Cheng

Computer Science Department, University of Houston, Houston, Texas, USA

Abstract – Many problems are solvable by several alternative methods. Each method is associated with some level of confidence, which depends on the kind of knowledge used. In this paper, we identify several methods to infer the classification of a target. We develop two algorithms, one used when the target is a category, while the other when the target is an object of a category. Our solution applies the methods in the order of non-increasing level of confidence, and for methods with the same level of confidence, the more versatile method is used first. Besides the answer, our solution also provides the certainty of the obtained answer.

In the presence of incomplete knowledge, three-valued logic is involved in the reasoning of the answer. Our solution is designed to use knowledge at ancestor categories. This reduces drastically the total amount of knowledge required to be learned, thus alleviating the burden of the teacher.

 

Workshop- Intelligent Linguistic Technologies, ILINTEC '15

PDF

Int'l Conf. Artificial Intelligence | ICAI'15 |

281

Parametrizing Verb Second Languages and Clitic Second

Languages

Anton Zimmerling 1

1

Institute for Modern Linguistic Research, Sholokhov Moscow State University for the Humanities / Institute of Linguistics, Russian Academy of Sciences, Moscow, Russia

Abstract - In this paper, I discuss verb second (V2) and clitic second languages (CL2) as an object of the parametric typology. V2 systems are a small group of languages sharing a number of parameters constraining the clausal architecture and the finite verb placement. CL2 systems are a large group of languages sharing a number of parameters constraining the clausal architecture and clitic ordering. The constituting property of both V2 and CL2 syntax is the bottleneck condition licensing only one constituent in XP. The ordering of finite verbs in V2 languages and the ordering of clitics/clitic clusters in CL2 languages is explained as head movement of the diagnostic category (verb or clitic) to 2P accompanied by the XP-movement of phrasal categories. An extension of the class of rigid V2 languages is the class of V1/V2 languages which license IS-motivated V1 orders in declarative clauses, while CL1/CL2 languages are rare.

 

Workshop- Intelligent Linguistic Technologies, Ilintec '15

PDF

Int'l Conf. Artificial Intelligence | ICAI'15 |

281

Parametrizing Verb Second Languages and Clitic Second

Languages

Anton Zimmerling 1

1

Institute for Modern Linguistic Research, Sholokhov Moscow State University for the Humanities / Institute of Linguistics, Russian Academy of Sciences, Moscow, Russia

Abstract - In this paper, I discuss verb second (V2) and clitic second languages (CL2) as an object of the parametric typology. V2 systems are a small group of languages sharing a number of parameters constraining the clausal architecture and the finite verb placement. CL2 systems are a large group of languages sharing a number of parameters constraining the clausal architecture and clitic ordering. The constituting property of both V2 and CL2 syntax is the bottleneck condition licensing only one constituent in XP. The ordering of finite verbs in V2 languages and the ordering of clitics/clitic clusters in CL2 languages is explained as head movement of the diagnostic category (verb or clitic) to 2P accompanied by the XP-movement of phrasal categories. An extension of the class of rigid V2 languages is the class of V1/V2 languages which license IS-motivated V1 orders in declarative clauses, while CL1/CL2 languages are rare.

 

Machine Translation, Natural Language Processing and Related Methods

PDF


WorldComp is an
international conference that serves researchers, scholars, professionals,
students, and academicians who are looking to both foster working
relationships and gain access to the latest research results. It is being
held jointly (same location and dates) with a number of other research
conferences; namely, The 2015 World Congress in Computer Science, Computer
Engineering, and Applied Computing (WORLDCOMP'15). The Congress is among the
top five largest annual gathering of researchers in computer science,
computer engineering and applied computing. We anticipate to have attendees
from about 85 countries/territories.

 

Machine Translation, Natural Language Processing and Related Methods

PDF


WorldComp is an
international conference that serves researchers, scholars, professionals,
students, and academicians who are looking to both foster working
relationships and gain access to the latest research results. It is being
held jointly (same location and dates) with a number of other research
conferences; namely, The 2015 World Congress in Computer Science, Computer
Engineering, and Applied Computing (WORLDCOMP'15). The Congress is among the
top five largest annual gathering of researchers in computer science,
computer engineering and applied computing. We anticipate to have attendees
from about 85 countries/territories.

 

Machine Translation, Natural Language Processing and Related Methods

PDF


WorldComp is an
international conference that serves researchers, scholars, professionals,
students, and academicians who are looking to both foster working
relationships and gain access to the latest research results. It is being
held jointly (same location and dates) with a number of other research
conferences; namely, The 2015 World Congress in Computer Science, Computer
Engineering, and Applied Computing (WORLDCOMP'15). The Congress is among the
top five largest annual gathering of researchers in computer science,
computer engineering and applied computing. We anticipate to have attendees
from about 85 countries/territories.

 

XV Technical Session on Applications of Advanced AI Techniques to Information Management for Solving Company-Related Problems

PDF

Int'l Conf. Artificial Intelligence | ICAI'15 |

363

Application of the FTOPSIS ranking method to an industrial facility location problem

J. Puente1, I. Fernandez1, J. Lozano1, B. Ponte1, P. Priore1, D. de la Fuente1

1

Business Administration Department, University of Oviedo, Gijón, Spain

Abstract - Industrial location problems belong to the scope of multicriteria decision making (MCDM) given the high number of attributes to be considered in its planning and analysis.

This work deals with a problem with four potential sites and five influential subjective criteria. A panel of experts related to the problem makes a fuzzy valuation of these attributes allowing to capture the uncertainty inherent in the subjectivity of such assessments-. Similarly, using the AHP method, experts provide with compared importance ratings from pairs of these attributes, facilitating the calculation of their global weights of importance. Finally, the implementation of the

FTOPSIS method, produces the ranking of the potential sites for the location problem.

 

Poster Papers

PDF

Output object names

2

Candidate acquisition via size judgment

We used an image database to acquire candidates using size judgments. Then, we obtained the area of the region cut away by object extraction, normalized that, and compared the result with each object in the image database in terms of size to acquire object candidates.

The image database stores multiple sets of images of objects with their names. For a single object, it will store multiple images, and the current database of 50 objects includes a total of 200 images, each with size information

(Figure 1).

3

Filter by image similarity

After adjusting direction of principal axes and center of gravities of two object domains I1 and I2, for color and binary images, the correlation values S1 and S2 are calculated each and the image similarity S is derived by equation 1.

Because there are two ways of the direction of principal axes, the bigger one is adopted. In addition, It is used L*a*b* color system for the correlation value calculation of a color image.

 

XV Technical Session on Applications of Advanced AI Techniquest to Information Management for Solving Company-Related Problems

PDF


WorldComp is an
international conference that serves researchers, scholars, professionals,
students, and academicians who are looking to both foster working
relationships and gain access to the latest research results. It is being
held jointly (same location and dates) with a number of other research
conferences; namely, The 2015 World Congress in Computer Science, Computer
Engineering, and Applied Computing (WORLDCOMP'15). The Congress is among the
top five largest annual gathering of researchers in computer science,
computer engineering and applied computing. We anticipate to have attendees
from about 85 countries/territories.

 

Load more


Details

Print Book
E-Books
Slices

Format name
PDF
Encrypted
No
Sku
R000000000505
Isbn
9781601324078
File size
94.6 MB
Printing
Allowed
Copying
Allowed
Read aloud
Allowed
Format name
PDF
Encrypted
No
Printing
Allowed
Copying
Allowed
Read aloud
Allowed
Sku
In metadata
Isbn
In metadata
File size
In metadata