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Usage of industrial networks of Internet with net-centric control is the driving trend of the future material manufacturing of goods and services. The bright future of this approach is out of doubt provided these complex net-centric systems will use adaptive approach to planning of manufacturing scenarios and function with high reliability. The issue here is that such systems are characterized by...
The ACC will offer workshops addressing current and future topics in automatic control from experts in academia, national laboratories, and industry. The workshops at ACC 2017 will take place prior to the conference on Monday, May 22 and Tuesday, May 23, 2017.
The integration of both fronthaul and backhaul into a single transport network (namely, 5G-Crosshaul) is envisioned for the future 5G transport networks. This requires a fully integrated and unified management of the fronthaul and backhaul resources in a cost-efficient, scalable and flexible way through the deployment of an SDN/NFV control framework. This paper presents the designed 5G-Crosshaul architecture,...
The rapid growth in the number and variety of connected devices requires 5G wireless systems to cope with a very heterogeneous traffic mix. As a consequence, the use of a fixed transmission time interval (TTI) during transmission is not necessarily the most efficacious method when heterogeneous traffic types need to be simultaneously serviced. This work analyzes the benefits of scheduling based on...
High precision location information formulates the basis of many modern wireless location based services (LBS). However, location privacy becomes an important issue along with the advantages that LBS offers. In this paper, we first show that, a novel eavesdropper is able to perform position estimation of the agent by purely overhearing the measurement signals between agents and anchors, using a time...
This paper presents the comparison between the calculated and measured radiation patterns of a two by two patch antenna array with three different element spacings. The optimum element spacing for a specific grating lobe level is obtained by the proposed optimization process. The optimization goal is to obtain narrowest steering beams with a desirable grating lobe level. The lager element spacing...
Two assembly-oriented strategies for the design of higher-order curl-conforming basis functions in the context of finite element methods are presented. Comparison of their robustness in terms of the condition number of the finite element matrices with arbitrary meshes and specially distorted elements is shown.
Non-orthogonal multiple access (NOMA) has been investigated recently as a candidate radio access technology for the fifth generation (5G) mobile communication due to its high spectral efficiency (SE). Green radio (GR) which focuses on energy efficiency (EE) is becoming an inevitable trend. In this paper, we study the tradeoff between EE and SE in downlink NOMA systems. The tradeoff problem is formulated...
Energy efficiency (EE) is a key metric in future green wireless networks. In this paper, we study the secure simultaneous wireless information and power transfer (SWIPT) in a downlink multiple-input-single-output (MISO) system, where the energy efficiency (EE) of the system is guaranteed. By jointly designing the transmit beamforming (BF), artificial noise (AN) and power splitting (PS) ratio, the...
In this paper, an evolutionary search approach is proposed for the bearing only target motion analysis problem. A problem spesific modification for the Big Bang-Big Crunch optimization algorithm, namely, Fitness Adaptive Big Bang-Big Crunch optimization algorithm is used as the evolutionary search method. The effectiveness of the proposed method is demonstrated by testing the algorithm in different...
We herein tackled concurrent design of machines layout and automated guided vehicle (AGV) planning in a workshop, and proposed a co-evolutionary framework for the whole design with tandem AGVs system. Our objective is to reduce the material transporting costs in the manufacturing process and realize the flexible reconfigurable. Firstly, we divide the whole workshop into several regions (or groups),...
The main aim of this research is to find the feasibility of Linear Discriminant Analysis (LDA) in optimization of fuzzy outputs for epilepsy risk level classification from EEG signals. One of the prominent neurological disorders affecting the nervous system is epilepsy. Due to the hyperactivity of neurons in certain regions of the brain epileptic seizures occur. To classify the epilepsy risk levels...
In this paper, an approach to synthesize compressor trees in High-level Synthesis (HLS) for FPGAs is proposed. Our approach utilizes the bit-level information to improve the compressor tree synthesis. To obtain the bit-level information targeting compressor tree synthesis, a modified bitmask analysis technique based on prior work is proposed. A series of experimental results show that, compared to...
Many methods have been introduced as economic load dispatchers. However, all these methods depend on the optimization field, where most of these studies mainly focus on how to strengthen the optimization algorithms themselves. This means the mystery key that segregate between the good and bad ELD solvers is the optimization algorithm itself. However, there is a practical fact known in many real power...
With the rapid advancement of mobile devices and crowdsourcing platforms, spatial crowdsourcing has attracted much attention from various research communities. A spatial crowdsourcing system periodically matches a number of locationbased workers with nearby spatial tasks (e.g., taking photos or videos at some specific locations). Previous studies on spatial crowdsourcing focus on task assignment strategies...
Multipartite table methods offer a high speed, low area implementation of commonly used functions for up to 24 bits of accuracy. Currently the parameters which dictate the configuration of these tables are chosen using a worst-case rounding approximation scheme which often generates sub-optimal results. This paper will show that it is possible to perform a full exhaustive search to find the minimum...
We propose a probabilistic approach to the problem of schema mapping. Our approach is declarative, scalable, and extensible. It builds upon recent results in both schema mapping and probabilistic reasoning and contributes novel techniques in both fields. We introduce the problem of mapping selection, that is, choosing the best mapping from a space of potential mappings, given both metadata constraints...
The location selection (LS) problem aims to mine the optimal location to place a new facility from a set of candidates such that the benefit or influence on a given set of objects is maximized. State-of-the-art LS techniques assume each object is static and can only be influenced by a single facility. However, in reality, objects (e.g., people, vehicles) are mobile and are influenced by multiple facilities...
Skyline queries enable multi-criteria optimization by filtering objects that are worse in all the attributes of interest than another object. To handle the large answer set of skyline queries in high-dimensional datasets, the concept of k-dominance was proposed where an object is said to dominate another object if it is better in at least k attributes. However, many practical applications, such as...
We present a novel tool, TASSAL, that automatically creates a summary of each source file in a project by folding its least salient code regions. The intended use-case for our tool is the first-look problem: to help developers who are unfamiliar with a new codebase and are attempting to understand it. TASSAL is intended to aid developers in this task by folding away less informative regions of code...
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