Search results for: Kamran Zamanifar

Items from 1 to 20 out of 28 results

article

An evolutionary non-linear ranking algorithm for ranking scientific collaborations

Fahimeh Ghasemian, Kamran Zamanifar, Nasser Ghasem-Aghaee

Applied Intelligence > 2018 > 48 > 2 > 465-481

The social capital theory motivates some researchers to apply link-based ranking algorithms (e.g. PageRank) to compute the fitness level of a scholar for collaborating with other scholars on a set of skills. These algorithms are executed on the collaboration network of scholars and assign a score to each scholar based on the scores of his/her neighbors by solving a linear system in an iterative way...

article

Composing Scientific Collaborations Based on Scholars’ Rank in Hypergraph

Fahimeh Ghasemian, Kamran Zamanifar, Nasser Ghasem-Aghaee

Information Systems Frontiers > 2019 > 21 > 3 > 687-702

Finding the right scholars for collaboration is crucial for scientific progress. In this study, a novel algorithm is proposed to find the successful team configurations for scientific collaboration in the presence of the collaboration network of scholars. In this algorithm, the collaboration network is exploited to estimate the trust level among team members and the skill level of the scholars, while...

article

Erratum to: Toward a better scientific collaboration success prediction model through the feature space expansion

Fahimeh Ghasemian, Kamran Zamanifar, Nasser Ghasem-Aghaee, Noshir Contractor

Scientometrics > 2017 > 113 > 3 > 1819-1819

The online version of the original article can be found under doi: 10.1007/s11192-016-1999-x .

article

Toward a better scientific collaboration success prediction model through the feature space expansion

Fahimeh Ghasemian, Kamran Zamanifar, Nasser Ghasem-Aqaee, Noshir Contractor

Scientometrics > 2016 > 108 > 2 > 777-801

The problem with the prediction of scientific collaboration success based on the previous collaboration of scholars using machine learning techniques is addressed in this study. As the exploitation of collaboration network is essential in collaborator discovery systems, in this article an attempt is made to understand how to exploit the information embedded in collaboration networks. We benefit the...

chapter

Sudoku Using Parallel Simulated Annealing

Zahra Karimi-Dehkordi, Kamran Zamanifar, Ahmad Baraani-Dastjerdi, Nasser Ghasem-Aghaee

Lecture Notes in Computer Science > Advances in Swarm Intelligence > Other Optimization Algorithms > 461-467

Parallel Simulated Annealing was applied to solving Sudoku puzzle. Simulated annealing is a stochastic search strategy which is best known for not getting trapped at the local optimums. Although SA suffers from low efficiency, it has been recognized as one of successful solutions in Sudoku. Sudoku puzzles in this study were formulated as an optimization problem in multi-agent environments. Variants...

chapter

Parallel Ant Miner 2

Omid Roozmand, Kamran Zamanifar

Lecture Notes in Computer Science > Artificial Intelligence and Soft Computing – ICAISC 2008 > Classification, Rule Discovery and Clustering > 681-692

In this paper, we propose a flexible parallel ant colony algorithm for classification rule discovery in the large databases. We call this algorithm Parallel Ant-Miner2. This model relies on the extension of real behavior of ants and data mining concepts. The artificial ants are firstly generated and separated into several groups. Each group is assigned a class label which is the consequent parts of...

chapter

A New Approach to Use Concepts Definitions for Semantic Relatedness Measurement

Ehsan KhounSiavash, Kamran Zamanifar

Lecture Notes in Computer Science > AI 2011: Advances in Artificial Intelligence > Session 8: Natural Language Processing > 628-637

Semantic Relatedness Measurement (SRM) is one of the most important applications of reasoning by ontologies and different disciplines of AI, e.g. Information Retrieval, are firmly tied to it. The accuracy of SRM by lexical resources is largely determined by the quality of the knowledge modeling by the knowledge base. The limited types of relations modeled by ontologies have caused most of the SRM...

chapter

A Novel Particle Swarm Optimization Approach for Grid Job Scheduling

Hesam Izakian, Behrouz Tork Ladani, Kamran Zamanifar, Ajith Abraham

Communications in Computer and Information Science > Information Systems, Technology and Management > Session 4. Scheduling and Distributed Systems > 100-109

This paper represents a Particle Swarm Optimization (PSO) algorithm, for grid job scheduling. PSO is a population-based search algorithm based on the simulation of the social behavior of bird flocking and fish schooling. Particles fly in problem search space to find optimal or near-optimal solutions. In this paper we used a PSO approach for grid job scheduling. The scheduler aims at minimizing makespan...

chapter

A New Approach for Semantic Web Matching

Kamran Zamanifar, Golsa Heidary, Naser Nematbakhsh, Farhad Mardukhi

Communications in Computer and Information Science > Security-Enriched Urban Computing and Smart Grid > 77-85

In this work we propose a new approach for semantic web matching to improve the performance of Web Service replacement. Because in automatic systems we should ensure the self-healing, self-configuration, self-optimization and self-management, all services should be always available and if one of them crashes, it should be replaced with the most similar one. Candidate services are advertised in Universal...

chapter

A Dynamic Multi Agent-Based Approach to Parallelizing Genetic Algorithm

Mohsen Momeni, Kamran Zamanifar

Communications in Computer and Information Science > Advances in Computer Science and Engineering > Short Papers > 830-833

Multi agent systems have been widely used to parallelizing processes in network-based computation environments. Parallelization of computational load could improve the performance of genetic algorithms and decrease their computational time. In this paper, a new distributed multi-agent system has been proposed for parallelizing genetic algorithm in usual networks. This dynamic approach could improve...

chapter

Improving the time of live migration virtual machine by optimized algorithm scheduler credit

Adel Amani, Kamran Zamanifar

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE) > 346 - 351

2014 4th International eConference on Computer and Knowledge Engineering (ICCKE)

By applying and increasing the number of physical separate host's requirements, for each operating system, the overall cost of data centers and clusters increase. For this reason, the owners of the physical host use virtualization technologies. Among the main motivations for using virtualization technologies these examples could be mentioned: Reducing arise the overall cost in the software and hardware...

chapter

Enhancing energy efficiency in resource allocation for real-time cloud services

Zahra Bagheri, Kamran Zamanifar

7'th International Symposium on Telecommunications (IST'2014) > 701 - 706

2014 7th International Symposium on Telecommunications (IST)

Improving energy efficiency is a multidimensional challenge regarding cloud computing environments management, which can directly reduce the operating costs and carbon dioxide emissions, while increasing the system reliability. An energy-efficient resource allocation approach for real-time cloud services is proposed in this paper. Several policies for provisioning of virtual machines (VMs) and hosts...

article

MVCC: An Architectural Pattern for Developing Context-aware Frameworks

Hossein Shams, Kamran Zamanifar, H. Shams, K. Zamanifar

Procedia Computer Science > 2014 > 34 > Complete > 344-351

Presenting a personalized service and information is a key aspect of pervasive computing, but development of such context-aware systems is quite complicated. Context-aware applications should be able to acquire raw data from sensors, make high-level context information, recognize the user's situation, and adapt behavior of the system. Developers need an infrastructure layer to mitigate such complexities...

article

QoS decomposition for service composition using genetic algorithm

Farhad Mardukhi, Naser NematBakhsh, Kamran Zamanifar, Asghar Barati

Applied Soft Computing > 2013 > 13 > 7 > 3409-3421

Recently, a lot of research has been dedicated to optimizing the QoS-aware service composition. This aims at selecting the optimal composed service from all possible service combinations regarding user's end-to-end quality requirements. Existing solutions often employ the global optimization approach, which does not show promising performance. Also, the complexity of such methods extensively depends...

chapter

A reuse distance based precopy approach to improve live migration of virtual machines

Javanshir Farzin Alamdari, Kamran Zamanifar

2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing > 551 - 556

2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing (PDGC)

Virtualization enables data centers to share physical resources between virtual private servers (VPS) cost-effectively. Live migration of virtual machines (VM) is one of the most important capabilities that have been provided by the virtualization. It enables the data center's administrators to apply the load balancing properly. Sending large number of VM's memory pages wastes the data center's bandwidth...

article

The power of ants in solving Distributed Constraint Satisfaction Problems

Samaneh Hoseini Semnani, Kamran Zamanifar

Applied Soft Computing > 2012 > 12 > 2 > 640-651

Distributed Constraint Satisfaction (DCSP) has long been considered an important area of research for artificial intelligence and multi-agent systems. Also, Ant Colony Optimization (ACO) is an important evolutionary method for solving various optimization problems. This paper demonstrates the power of ants in solving DCSPs and describes a new approach for such a solution, showing how it differs from...

chapter

Data-Aware Virtual Machine Placement and Rate Allocation in Cloud Environment

Kamran Zamanifar, Nader Nasri, Mohammad-Hossein Nadimi-Shahraki

2012 Second International Conference on Advanced Computing & Communication Technologies > 357 - 360

2012 Second International Conference on Advanced Computing & Communication Technologies (ACCT)

Infrastructure-as-a-service cloud provides a suitable environment where cloud users can run data-intensive applications and store their required data files. The performance of data-intensive applications strongly depends on data transmission delay. This delay is a function of the size of data files, the location of virtual machines that run the applications as well as the allocation of data rates...

article

Improvement of harmony search algorithm by using statistical analysis

Hadi Sarvari, Kamran Zamanifar

Artificial Intelligence Review > 2012 > 37 > 3 > 181-215

In this article, we suggest a new method to improve the harmony search meta-heuristic algorithm. Several approaches are presented for improving the harmony search algorithm. These approaches consider different values for initial parameters in each optimization problem. Differences between the proposed algorithm and the harmony search algorithm are as follows. First, we add a new step to create a new...

chapter

Gossip-based density estimation in dynamic heterogeneous sensor networks

Hadi Tabatabaee Malazi, Kamran Zamanifar, Andrei Pruteanu, Stefan Dulman

2011 7th International Wireless Communications and Mobile Computing Conference > 1365 - 1370

2011 7th International Wireless Communications and Mobile Computing Conference (IWCMC 2011)

The density estimation of diverse sensor types in a heterogeneous sensor network is a useful and challenging service that can be applied in clustering schemes, node redeployment, and sleep mode scheduling. Energy efficiency is one of the main requirements for any wireless sensor network service. Besides, the service has to provide a fresh version of the estimation to each node. Network dynamics, especially...

chapter

Producing complete modules in ontology partitioning

Maryam Jafari Sharif Abadi, Kamran Zamanifar

2011 International Conference on Semantic Technology and Information Retrieval > 137 - 143

2011 International Conference on Semantic Technology and Information Retrieval (STAIR)

Ontology modularization is an important part of ontology engineering for which the reduction of complexity and size of ontology, either breaks an ontology down to all the constituent parts(ontology partitioning) or extracts only a small part of the ontology(module extraction). The presented approach in this essay is concentrated on ontology partitioning. To have complete segments, we initially do...

Publication date

Set your own date range

Publication type

article (14)
book (14)

INFONA - science communication portal

Search results for: Kamran Zamanifar

An evolutionary non-linear ranking algorithm for ranking scientific collaborations

Composing Scientific Collaborations Based on Scholars’ Rank in Hypergraph

Erratum to: Toward a better scientific collaboration success prediction model through the feature space expansion

Toward a better scientific collaboration success prediction model through the feature space expansion

Sudoku Using Parallel Simulated Annealing

Parallel Ant Miner 2

A New Approach to Use Concepts Definitions for Semantic Relatedness Measurement

A Novel Particle Swarm Optimization Approach for Grid Job Scheduling

A New Approach for Semantic Web Matching

A Dynamic Multi Agent-Based Approach to Parallelizing Genetic Algorithm

Improving the time of live migration virtual machine by optimized algorithm scheduler credit

Enhancing energy efficiency in resource allocation for real-time cloud services

MVCC: An Architectural Pattern for Developing Context-aware Frameworks

QoS decomposition for service composition using genetic algorithm

A reuse distance based precopy approach to improve live migration of virtual machines

The power of ants in solving Distributed Constraint Satisfaction Problems

Data-Aware Virtual Machine Placement and Rate Allocation in Cloud Environment

Improvement of harmony search algorithm by using statistical analysis

Gossip-based density estimation in dynamic heterogeneous sensor networks

Producing complete modules in ontology partitioning

Filter options

Publication date

Publication type

Keywords

Data set

Journal

INFONA - science communication portal

Search results for: Kamran Zamanifar

Add recipient

Sending message cancelled

Are you sure you want to cancel sending this message?

Send message

Filter options

Publication date

Date range setting

Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.

Publication type

Keywords

Data set

Journal

Reporting an error / abuse

Sending the report failed

Accessibility options