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In recent years, numbers of non-orthogonal multiple access (NOMA) schemes have been proposed to support the great amounts of wireless connections. However, complex multi-user detection is needed in case that the user power differentiation is not available and simple successive interference cancellation cannot directly apply, which usually incurs unaffordable computational complexity. In this paper,...
Distributed generation (DG) is utilized in electric power networks for the purpose of loss reduction, environment friendly features, and voltage improvement. This paper determines optimal allocation of DGs through Multi-Objective Index (MOI) for improving voltage stability and decreasing line losses of radial distribution system. Multiple objectives are merged using weighting factors and investigated...
The paper deals with the comparative analysis of methods of losses distribution between electricity market participants on the example of their implementation on the test scheme IEEE RTS-96. Several methods have been analyzed: a proportional method (Pro Rate), a method of losses distribution between market participants in proportion to their contribution to power cardinality with adjacent nodes (Proportional...
The decode-and-forward (DF) relay based cellular network is considered an efficient technique for solving the coverage and improving system capacity of the current fourth-generation (4G) and the emerging fifth-generation (5G) mobile telecommunication technologies. In this analysis, we control the codeword's transmission parameters by achieving a good trade-off between setting more resources with changing...
This paper, considering the complexity of university internal governance effect and particularity of the university itself, aims to build a indicator system to evaluate university internal governance effect, using the Grey Multilayer Comprehensive Assessment Method to evaluate this indicator system, whilst applying the Analytical Hierarchical Process (AHP) and Entropy Evaluation Method to define the...
Link prediction plays an important role in complex network analysis. It is to predict the existence of an unknown link or a future link in a network. Classical methods for link prediction evaluate the similarity of vertices based on common neighbors, and denote that every common neighbor makes equal contribution to the connection likelihood. However, common neighbors may play different roles depending...
Graphs are very widely used to represent datasets in various real-world applications. Many algorithms dealing with graphs represent them in the form of sparse matrices and process them through sparse matrix operations. Recently, as the size of a graph increases rapidly, a single-machine-based graph engine has emerged as a general framework for effectively performing large-scale sparse matrix operations...
Nowaday, mobile crowdsensing (MCS) is widely used in mobile devices, and one of the key challenges is how to motivate users to provide sensing services. In this paper, we explore the sensing task allocation in a MCS environment in which requester aims to maximize the valuation of tasks with limited budget. According to the multi-parameter bids of users including sensing costs and available time, we...
In this paper, we examine a joint user pairing and dynamic power allocation (JUPDPA) design to maximize the energy efficiency (EE) in the multicell multiple-input multiple-output (MIMO) — non-orthogonal multiple access (NOMA) downlink system. A novel JUPDPA scheme is proposed based on median and the euclidean norm of the channel vectors. In addition, base station dynamically allocates the transmission...
Fragmentation in Elastic Optical Networks is an issue caused by isolated, non-aligned, and non-contiguous frequency slots that can not be used to allocate new connection request to the network, due to the optical layer restrictions imposed to the Routing and Spectrum Assignment (RSA) algorithms. To deal with this issue, several studies about Spectrum Defragmentation have been presented. In this work,...
Cognitive radio (CR) is an effective way to improve the utilization of spectrum resource. This paper focuses on the resource allocation in cooperative relay cognitive radio networks and proposes an optimized resource allocation algorithm. In the algorithm, when the channel between the primary source and destination is good, the primary user (PU) selects a best sub-channel to transmit its data directly,...
In this paper, we present a new, dynamic graph data structure, built to deliver high update rates while keeping a low memory footprint using autonomous memory management directly on the GPU. By transferring the memory management to the GPU, efficient updating of the graph structure and fast initialization times are enabled as no additional memory allocation calls or reallocation procedures are necessary...
Survivability of optical networks is considered among the most critical problems that telecommunications operators need to solve at a reasonable cost. Survivability can be enhanced by increasing the amount of network links and its spare capacity, nevertheless this deploys more resources on the network that will be used only under failure scenarios. In other words, these spare resources do not generate...
In the paper the Cardinality Constrained Knapsack Problem is considered. It is a variant of the Continuous Knapsack Problem in which no more than a specified number of variables are allowed to have positive values. This problem arises when a limited resource is allocated among competing activities, and an upper bound is imposed on the number of activities that can be selected in a solution. The Cardinality...
Dynamic spectrum access (DSA) paradigm has shown significant potential to improve the electromagnetic spectrum utilization. For DSA in the multi-user decentralized networks, frequency band characterization and allocation among unlicensed users is a non-trivial task and various decision making policies (DMPs) have been proposed recently. Though auction based DMPs have shown to offer better performance...
The ability to discover patterns of interest in criminal networks can support and ease the investigation tasks by security and law enforcement agencies. By considering criminal networks as a special case of social networks, we can properly reuse most of the state-of-the-art techniques to discover patterns of interests, i.e., hidden and potential links. Nevertheless, in time-sensible scenarios, like...
The testability allocation is a very important work in the equipment demonstration and design stage. With the increase of equipment system integration and complexity, it is necessary to consider the influence of the integration to the testability index. This paper proposes a novel iterative allocation method based on system integration. Firstly, the allocation effect factor is quantified through considering...
A clearance effect evaluation index system is presented in this paper. Based on the clearance effect evaluation index system and cost processing models, an integrated optimization method for mechanisms with clearance joints is proposed. As a case study, a planar 3-RRR parallel robot with clearance joints is investigated. On the basis of the optimization results, a prototype is designed and manufactured...
Modern GPUs embrace on-chip cache memory to exploit the locality present in applications. However, the behavior and effect of the cache on GPUs are different from those on conventional processors due to the Single Instruction Multiple Thread (SIMT) thread execution model and resulting memory access patterns. Previous studies report that caching data can hurt the performance due to increased memory...
A map-guided superpixel segmentation method for hyperspectral imagery is developed and introduced. The proposed approach develops a hyperspectral version of the SLIC superpixel algorithm, leverages map information to guide segmentation, and incorporates the semi-supervised Partial Membership Latent Dirichlet Allocation (sPM-LDA) to obtain a final segmentation. The proposed method is applied to two...
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