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Agent-Based Modeling is a technique oriented to representing, modelling and explaining complex systems in a variety of domains. Cognitive agents comprise a computational tool capable of modelling aspects of human behaviour from individuals to crowds. Disaster-Rescue simulations represent a challenging and socially relevant domain where cognitive agents still have not been applied extensively despite...
This paper proposes a fast and real-time background update mechanism for vehicle detection in urban city. The roads of urban city are relatively clean from the perspective of digital image which is helpful for developing a specialized fast algorithm of background update. However, frequent congestion in urban roads poses a great challenge on constructing a reliable real-time background model. In this...
Twitter is a social network that lets users post their opinions about current affairs, share their social events, and interact with others. Twitter has now become one of the largest sources of news, with over 200 million active users monthly. This paper proposes a method to predict election results based on Twitter data analysis. The method extracts and analyses sentimental information from microblogs...
In this work two new procedures are proposed to discretize linear parameter varying (LPV) models in the linear fractional transformation LFT representation1. In the first procedure, a Taylor series approximation is used, to obtain multivariable discrete affine models for parameter dependent sampling rates of continuous LPV systems for each sampling period. Subsequently LFT transformations of that...
In this paper, a live migration of the virtual machines (VMs) power consumption (PC) model is introduced in the virtualised cloud radio access networks (C-RANs). The model proposed an easy and parameterised model to evaluate the power cost of migrating the VMs from one server to another. This work is different than other research works found in the literature. It is not based on software, utilisation...
The growth of wireless traffic and the demand for higher data rates motivated researchers around the world to enhance the Long Term Evolution-Advanced (LTE-A) performance. Recently, a considerable amount of the research had been done to optimise the packet schedulers. The packet schedulers distribute the radio resources among users to increase spectrum efficiency and network performance. In this paper,...
This paper presents a novel register file with self-indexed features, targeting the DSP/media algorithm with massive data locality. The self-indexed register file (SIRF) contains 128 high-speed registers, 4 input ports and 4 output ports. It can be accessed with the double circular window mode, or simply with the immediate index mode. SIRF can eliminate write after write (WAW) dependence without register...
To create confusion in ciphertexts, encryption processes depends upon nonlinear mappings. This nonlinear mapping can be achieved by a process known as substitution. In a secure encryption algorithm, substitution plays a key role during confusion stage of encryption algorithms. In this work, we present a novel chaos-based substitution box that can be utilized in the encryption processes for securing...
Weather occurs in everyday discussion, in every language around the globe. Many people believe that weather does impact our mood and behavior. However, to what degree does this hold? We investigate a collection of weather data and link them to social media feeds. Our work focuses on the comparison of three popular sentiment metrics (previous work focused on one metric) connected to commonly used weather...
In this paper we propose a new approach for energy saving in Elastic Optical Networks (EONs) under physical impairments based on MILP solving instances. First we search for maximize the attended traffic on network whereas the blocking probability is maintained below a defined limit. Hence, the next step is to minimize the power consumption on network. The proposed MILP-based algorithm models the RMLSA...
The study on machine learning has been flourishing for several years, and machine learning algorithms are being applied to various fields with great achievements. In this paper, combining the on-line machine learning method into optimization algorithms is to be studied. In many heuristic optimization algorithms, one common way to reduce execution time and improve solution optimality is, first estimating...
Automatic eyeglasses detection plays a major role in many facial analysis systems. To improve the robustness of these systems and cope with real-world applications, a high-speed eyeglasses detector that can achieve high accuracy is needed. Recent studies indicate that the features extracted from convolutional neural networks are compelling. Therefore, this paper presents an effective and efficient...
This paper describes a work in progress on co-evolving Artificial Neural Networks (ANNs) for music improvisation. Using this neuro-evolutionary approach the ANNs adapt to the changes in the human player's music as input, while still maintaining some of the structure of the musical piece previously evolved. The system is called Primal-Improv and evolves modules that are composed of two ANNs, one controlling...
This paper proposes a plan creation and execution system used by the agent HTN Fighter in the Fighting ICE game framework. The underlying approach implements a Hierarchical Task Network (HTN) planner and a simple planning domain that focuses on sequences of close-range attacks. The execution process is tightly interleaved with the planning process compensating for the uncertainty caused by the delay...
The cytoskeleton is a complex network of protein filaments inside cells. Defects in genes expressing cytoskeleton proteins cause a wide range of different diseases. Mutations in genes encoding the keratin family of proteins are responsible for a variety of diseases. With the invention of fluorescent protein labeling techniques, fluorescent microscopy becomes a valuable tool in biological research...
Many organizations rely on Disaster Recovery services to ensure availability and continuity of their operations during undesired circumstances and outages. Business Impact Analysis concept enables adequate planning for business continuation as it delivers essential information on services' criticality levels and their impact on business. The advancement in communication and technology has reshaped...
Here the Newton's Method direct action selection approach to continuous action-space reinforcement learning is extended to use an eligibility trace. This is then compared to the momentum term approach from the literature in terms of the update equations and also the success rate and number of trials required to train on two variants of the simulated Cart-Pole benchmark problem. The eligibility trace...
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