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An algorithm that can predict the review rating of a potential business with only existing information about the location and business categories would be an invaluable tool in making investment decisions. Utilizing the Yelp business dataset, we built a model, that can do as such, by classifying whether a potential business belongs to a positively-reviewed class (star ratings greater than or equal...
Smartphone ecosystems are considered as a unique source due to the large number of apps which in turn makes an extensive use of personal data. Currently, there is no privacy and security preservation mechanism in smartphone ecosystems to enable users to compare apps in terms of privacy and security protection level, and to alarm them regarding the invasive issues (in terms of privacy and security)...
Cameras are the defacto sensor. The growing demand for real-time and low-power computer vision, coupled with trends towards high-efficiency heterogeneous systems, has given rise to a wide range of image processing acceleration techniques at the camera node and in the cloud. In this paper, we characterize two novel camera systems that use acceleration techniques to push the extremes of energy and performance...
As the penetration of renewable energy increasing in power systems, the contribution of VSC-HVDC for system stability is highly expected. Due to the decoupling modulating of active and reactive power output, the influence of HVDC on the inter-area oscillation is widely studied. This paper proposes a new ANN (Artificial Neural Network) based control design scheme for VSC-HVDC systems to damp inter-area...
A conflict over the fourth party logistics development is modeled, and a stability analysis is carried out based on the graph model for conflict resolution. In this conflict, corresponding DMs and their options are identified, infeasible states of this conflict are removed, and DMs' preferences over the feasible states are estimated based on option prioritization. Then, the directed graph for the...
Anemia is a condition in which the hemoglobin (Hb) content becomes less than that of the normal value. In this project, hemoglobin value is estimated using ANN (Artificial Neural Network). Database of blood sample images and their actual Hb values is collected from a local laboratory. Red, green and blue normalized values of images' samples are fed to the ANN as input. Cyanemethemoglobin method based...
MBD technology is capable of integrating all the information of the design and process technology into the product 3D model. But in the MBD mode, the complex product has massive information, and its structure is extremely complicated. Generally, the existing methods for complex product information modeling have some limitations. By considering that, this paper proposed an F-B-S-F-I framework model...
In recent years, many education researchers concentrated on learning styles and its implications. They relied that people who have different personality types tend to have different learning styles, which in turn influence to students' performance in each type of subjects. To measure the relationship between learning styles and student performance in a subject or entire course, we conducted an online...
In this study, MIKE NAM, artificial neural networks (ANNs), and a hybridization of ANNs and Particle Swarm Optimization (ANN-PSO) are utilized to predict the Dak Nong runoff. ANNs are trained by the back-propagation (BP) procedure [1] which is based on the gradient descent algorithm and an incorporating algorithm of PSO and BP [2]. Moreover, to improve the performance of ANNs, a common method of time...
The Network Function Placement (NFP) problem involves placing Virtual Network Functions (VNFs) in a network in order to meet the Service Function Chain (SFC) requirements of the flows through the network. Simultaneously, the usage of network resources by the VNF instances must be optimized. Prior work primarily treated this as a constraint satisfaction problem, using linear programming to find optimal...
This paper presents a novel technique for motor imagery event classification. Extraction of discriminative feature is a key to accurate classification. To realize this objective we have explored the use of nonnegative matrix factorization (NNMF) for sparse representation of our input signal and determining the discriminative basis vector. We extract both spectral as well as temporal features from...
The paper considers the results of MATLAB modeling of artificial neural networks trained to perform basic logical operations: AND, OR, XOR and NOT. Below is a description of implementation of these artificial neural networks on a microcontroller by Texas Instruments family MSP430G2x, which is marketed by the manufacturer as an ultra-low power consumption device. Implementation of artificial neural...
This paper aims at presenting a Sliding Mode Control with constraints for urban transportation network. Firstly, by applying the store-and-forward approach, the transportation network is modeled into a linear model. Then, the controllability analysis has shown that the system is not totally controllable. Hence, it is split into controllable subsystem and uncontrollable one. Furthermore, the Sliding...
In this paper, we implement hybrid Woodward-Lawson Neural Networks and weighted Fourier method to synthesize antenna arrays. The neural networks (NN) is applied here to simplify the modeling of MIMO antenna arrays by assessing phases. The main problem is obviously to find optimal weights of the linear antenna array elements giving radiation pattern with minimum sidelobe level (SLL) and hence ameliorating...
Adaptive dynamic programming (ADP) is a prevalent way to solve the coupled Hamilton-Jacobi-Bellman (HJB) equations of the optimal consensus control for multi-agent systems (MAS). Neural networks (NNs) are normally used to approximate the value functions in ADP. However, NNs with manually designed features may influence the approximation ability. In this study, kernel-based methods which do not need...
The richest information about different emotional states and thinking styles of the person is carried by signature The signature analysis is one of the most effective and reliable indicator for prediction of personality. As it reveals the true personality which includes fears, honesty and many other individual personality traits. This can happen with the help of few features like underscores below...
Automated Planning focuses on plan search. Traditionally, it aimed at domain-independent methods with handcrafted domain models. However, automated domain model acquisition, especially the action model acquisition is difficult. On the other hand, many problem specific search space pruning techniques were proposed. Therefore, we combine the automated domain model acquisition and problem specific search...
Path loss prediction models are essential in the planning of wireless systems, particularly in build-up environments. However, the efficacies of the models depend on the local ambient characteristics of the environments. This paper proposed the Neuro-Fuzzy (NF) model for path loss prediction for Ilorin in the VHF band. Received signal strengths along four different routes were measured using NTA Ilorin...
Unmanned Aerial Vehicle (UAV) is being used in a wide range of human life. Researcher preferred quadrotor as it can be brought into the first generation of simulator map of an aircraft. It can be developed into larger manned flight. In this regard, extensive research in Fault detection (FD) is necessary, so that it can enhance its safety features. FD is designed to respond and to exclude the wrong...
A myoelectric prosthesis, which can be used as a replacement for a person's upper limb, is able to control many hand motions optionally via surface electromyography (sEMG). Although many researchers have developed myoelectric prostheses that realize various motions, evaluation of their practicality has only been carried out on small numbers of patients. To solve this problem, a myoelectric prosthesis...
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