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Verification of temporal-causal network models by mathematical analysis
Usually dynamic properties of models can be analysed by conducting simulation experiments. But sometimes, as a kind of prediction properties can also be found by calculations in a mathematical manner, without performing simulations.
9/16/2019 11:11:17 AM +00:00
A feasible MapReduce peer-to-peer framework for distributed computing applications
This article presents a MapReduce Peer-to-Peer (P2P) framework that enables a MapReduce implementation on P2P networks to support a class of MapReduce-based computing applications. This framework can be useful for researchers who cannot afford expensive and dedicated clusters for infrequent demands of solving distributed computing problems.
9/16/2019 11:10:19 AM +00:00
Application based brokering algorithm for optimal resource provisioning in multiple heterogeneous clouds
This paper proposes a novel cloud brokering architecture that provides an optimal deployment plan for placement of virtual resources in multiple clouds. The objective of the deployment plan is to select the best cloud services with optimal cost, taking into account various attributes defined in service measurement index (SMI) with additional physical and logical constraints.
9/16/2019 11:09:06 AM +00:00
An ontology-based approach to auto-tagging articles
This paper proposes an auto-tagging methodology using tags defined in the ontology. The auto-tagging methodology consists of two main processes: Classification process and tag selection process.
9/16/2019 11:08:17 AM +00:00
Autonomic fine-grained replication and migration at component level on multicloud
Although migration and replication of applications in a distributed environment have been discussed by many researchers, the implementations of these features are rarely focused when deployed in the cloud. The cloud enterprises usually have to migrate or replicate partly or fully their services because of economical or disaster preventing reasons.
9/16/2019 11:07:01 AM +00:00
Fast support vector clustering
This fact impedes the application of support-based clustering method to the large-scale datasets. In this paper, we propose applying stochastic gradient descent framework to the first phase of support-based clustering for finding the domain of novelty in the form of a half-space and a new strategy to perform the clustering assignment.
9/16/2019 11:06:33 AM +00:00
A generalized fault-detection software reliability model subject to random operating environments
In this paper, we develop a generalized software reliability model incorporating the uncertainty of fault-detection rate per unit of time in the operating environments. A logistic fault-detection software reliability model is derived.
9/16/2019 11:06:18 AM +00:00
Loglog fault-detection rate and testing coverage software reliability models subject to random environments
In this paper, we present two new software reliability models with considerations of the fault-detection rate based on a Loglog distribution and the testing coverage subject to the uncertainty of operating environments.
9/16/2019 11:05:52 AM +00:00
A trust model for new member in multiagent system
In this paper, we introduce a novel mechanism for computing trust of a new coming partner by means of some similarity in a profile of the new agent and the ones of well- known agents. Experiments have been conducted to evaluate the proposed model in the scenario of an e-commerce environment.
9/16/2019 11:05:34 AM +00:00
Mixture of hyperspheres for novelty detection
In this paper, we present a mixture of support vector data descriptions (mSVDD) for one-class classification or novelty detection. A mixture of optimal hyperspheres is automatically discovered to characterize data.
9/16/2019 11:04:46 AM +00:00
The paraconsistent process order control method
In this paper we propose the paraconsistent process order control method based on a paraconsistent annotated logic program called before–after extended vector annotated logic program with strong negation (bf-EVALPSN) with a small example of pipeline process order verification.
9/16/2019 11:04:31 AM +00:00
Modeling information systems from the viewpoint of active documents
The development of document handling by organizations at the level of business processes and business information systems leads to the phenomenon that the majority of documents and their contents remain in semi-structured format and definite minorities of documents are directly mapped onto structured databases.
9/16/2019 11:04:12 AM +00:00
A simple distributed reasoning system for the connection calculus
The system is constructed in a lean deduction style and it has been inspired to some extent by a sequential reasoner leanCoP, implemented in Prolog. Our reasoner has a form of a relational program in the Oz language. In this programming model, a computational strategy is a parameter of a program having a form of a special object called a search engine.
9/16/2019 11:03:56 AM +00:00
A computationally lightweight and localized centrality metric in lieu of betweenness centrality for complex network analysis
The betweenness centrality (BWC) of a vertex is a measure of the fraction of shortest paths between any two vertices going through the vertex and is one of the widely used shortest path-based centrality metrics for the complex network analysis.
9/16/2019 11:03:34 AM +00:00
Maximal assortative matching for real-world network graphs, random network graphs and scale-free network graphs
The MAM algorithm prefers to include the edge with the smallest assortativity weight (the assortative weight of the edges is updated for each iteration) until all the edges in the graph are covered.
9/16/2019 11:03:07 AM +00:00
DC programming in communication systems: Challenging problems and methods
Nonconvex optimization becomes an indispensable and powerful tool for the analysis and design of Communication Systems (CS) since the last decade. As an innovative approach to nonconvex programming, Difference of Convex functions (DC) programming and DC Algorithms (DCA) are increasingly used by researchers in this field.
9/16/2019 11:02:34 AM +00:00
AODV with intelligent priority flow scheme for multi-hop ad hoc networks
In this paper, a new strategy of cross layer algorithm is proposed based on the characteristics of reactive routing and multi-hop jumping. In addition, artificial bee colony algorithm is performed to calculate the contention window of the nodes along the routing path over MAC layer
9/16/2019 11:02:01 AM +00:00
Ontology-based disease similarity network for disease gene prediction
Finding underlying molecular mechanisms of diseases is one of the important issues in biomedical research. In which, prediction of novel disease-associated genes is mostly focused. Many methods have been proposed based on biological networks and shown effectively for the problem.
9/16/2019 11:01:26 AM +00:00
Discovering crisis models to help assess coordination plans
Recently, we have witnessed an increasing number of crises, not only natural disasters but also man-made ones. Coordination among several stakeholders is the key factor to reduce the damage caused by a crisis.
9/16/2019 11:01:06 AM +00:00
Automatic question generation for supporting argumentation
In this paper, we introduce a technical approach to generating questions upon the request of students during the process of collaborative argumentation. The contribution of this paper lies in combining different NLP technologies and exploiting semantic information to support users develop their arguments in a discussion session via tailored questions of different types.
9/16/2019 11:00:48 AM +00:00
Feature selection and replacement by clustering attributes
Feature selection is to find useful and relevant features from an original feature space to effectively represent and index a given dataset. It is very important for classification and clustering problems, which may be quite difficult to solve when the amount of attributes in a given training data is very large.
9/16/2019 10:59:12 AM +00:00
An enhanced healthcare system in mobile cloud computing environment
Mobile cloud computing (MCC) is a new technology for mobile web services. Accordingly, we assume that MCC is likely to be of the heart of healthcare transformation. MCC offers new kinds of services and facilities for patients and caregivers. In this regard, we have tried to propose a new mobile medical web service system.
9/16/2019 10:58:23 AM +00:00
Language representability of finite place/transition Petri nets
Finite-net multi-CCS is a CCS-like calculus which is able to model atomic sequences of actions and, together with parallel composition, also multi-party synchronization. This calculus is equipped with a labeled transition system semantics and also with an unsafe P/T Petri net semantics, which is sound w.r.t. the transition system semantics.
9/16/2019 10:57:57 AM +00:00
An efficient method for mining association rules based on minimum single constraints
The paper proposes an equivalence relation using the closure of itemset to partition the solution set into disjoint equivalence classes and a new, efficient representation of the rules in each class based on the lattice of closed itemsets and their generators. The paper also develops a new algorithm, called MAR-MINSC, to rapidly mine all constrained rules from the lattice instead of mining them directly from the database.
9/16/2019 10:57:01 AM +00:00
Hybrid intelligent diagnosis approach based on soft computing from signal and image knowledge representations for a biomedical application
Fault diagnosis is a complex and fuzzy cognitive process, and soft computing methods as neural networks and fuzzy logic, have shown great potential in the development of decision support systems. Dealing with expert (human) knowledge consideration, Computer-Aided Diagnosis (CAD) dilemma is one of the most interesting, but also one of the most difficult problems.
9/16/2019 10:55:21 AM +00:00
Applying authentication and network security to in-cloud enterprise resource planning system
The service-oriented hosts in enterprises like enterprise resources planning (ERP) system have always encountered the crucial problem of unexpected down-time or system failure that will cause data loss and system termination. Failover is a challenge issue that cannot be done successfully between physical hosts.
9/16/2019 10:55:04 AM +00:00
IRORS: Intelligent recommendation of RSS feeds
In this paper, we aim to improve the effectiveness and swiftness of pertinent RSS feeds analysis through recommending suitable fragments of queries during the analysis process of events. Accordingly, we propose an innovative architecture of our new active RSS feeds warehouse.
9/16/2019 10:53:56 AM +00:00
An HVS-inspired video deinterlacer based on visual saliency
In this paper, a spatial saliency-guided motion-compensated deinterlacing method is proposed which accounts for the properties of the Human Visual System (HVS): Our algorithm classifies the field according to its texture and viewer’s region of interest and adapts the motion estimation and compensation, as well as the saliency-guided interpolation to ensure high-quality frame reconstruction.
9/16/2019 10:53:22 AM +00:00
A survey on software fault detection based on different prediction approaches
One of the software engineering interests is quality assurance activities such as testing, verification and validation, fault tolerance and fault prediction. When any company does not have sufficient budget and time for testing the entire application, a project manager can use some fault prediction algorithms to identify the parts of the system that are more defect prone.
9/16/2019 10:52:28 AM +00:00
Khảo sát một số giao thức định tuyến đa đường trong mạng cảm biến không dây và đề xuất xây dựng giao thức định tuyến đa đường định hướng đa sự kiện trong mạng
Bài viết khảo sát một số giao thức định tuyến đa đường trong mạng cảm biến không dây, cho thấy những lợi ích, hoạt động của chúng, phân loại các giao thức định tuyến đa đường và đề xuất xây dựng giao thức định tuyến đa đường định hướng đa sự kiện trong mạng cảm biến không dây.
9/16/2019 10:41:36 AM +00:00