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In recent years, due to the advance of new technologies, the idea about intelligent tutoring system (ITS) has achieved many successes. The quality of the employed semantic space is a crucial element for establishing an ideal ITS. How accurate the student's responses can be identified and how precise the teaching content can be distributed all depend on the characteristics of the semantic space. A...
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...
Millennials are arriving to university sometimes uncomfortable with the methods of some courses. Ideas that worked with previous generations of students begin to fail when digital natives receive paper and pencil as tools. Courses must update from old paper-based methods to hands-on and computerized versions. The present work discusses about this update and comments on one implementation in the course...
While wearable devices have been the buzzword inthese days, they are still in the infant market stage. Thoughdemand for wearable devices has skyrocketed, the early abandonmentof devices become an important issue. Many studiesexamine the usage of wearable devices with user survey. However,it is essential to look at the real behavior of wearable users howand why wearable users enjoy or abandon devices...
Human visual system detects details in coloured images better. Sometimes interpretation of details in gray scale ultrasound images becomes harder. So in this work pseudocoloring of ultrasound images using empirical mode decomposition (EMD) is proposed. EMD doesn't use base function so it has more advantages than Fourier and wavelet transforms. The proposed method pseudocolored image by assigning two...
Production of high quality wheat has a great importance especially in the solution of nutrition problems. It is necessary to make decomposition for specifying the quality. Here, high quality and unclassified wheat recognition are realized. The most distinctive feature between high quality and poor quality wheat is the shape difference. In this study, Bag of Contour Fragments (BCF) was used as a shape...
Survivability of contents/files in data centers, when a disaster occurs, is becoming a major challenge in designing cloud-based services. To handle such a situation, a robust communication protocol is needed, so that provisions can be made to allocate an alternative fault-free path, when a disaster disrupts the path used for data communication before the disaster occurs. In this work we have presented...
Transparent optical networks (TONs) has the advantage of handling high data rates through effective utilization of the fiber bandwidth. However, features like transparency in TONs makes such networks susceptible to several physical layer attacks. Hence, designing TONs with a capability of handling such high power jamming attacks is an important network security problem. In this work, we propose an...
In this paper, we consider the problem of enhancing the filtering capacity of single standard beamformers for real base-band signals. Unfortunately, the standard smart arrays are not able to effectively minimize the effects of the complex noise in the array. In order to solve this problem, we analyze a parallel adaptive beamforming system based on complex nonlinear adaptive filters. In this design,...
In current times, there has been a surge in the amount of collected data from computational systems. The vast amount of data can be useful in many applications and fields, particularly so in Big Data Analytics. However with a large collection of data there is a difficulty discovering important information. Automatic Document Summarization (ADS) systems are suitable for the task of outlining useful...
Design and implementation of a PEM fuel cell controller presented. The intelligent controller design is based on a neuro-fuzzy algorithm. The implemented system has successfully controlled the air mass flow rates of the fuel cell stack using labview programming. The real-time data shows the effectiveness of the proposed smart controller algorithm.
Evaluation of an image processing algorithm (IPA) task is tedious and full of complexity. A lot of effort is spent to compare a new IPA with benchmark IPAs. Comparing with benchmark IPAs requires either implementing them from scratch or a lot of configurations. Also, setting up datasets for the evaluation consumes additional effort. Therefore, the need for a system to overcome the former overhead...
Cluster structure is one of the most important structures that have received increasing attention over recent years. This paper presents a modification to the structure of the cluster tree Wireless Sensor Network (WSN) dividing clusters into sub-groups. Each group of these sub-groups operates like a tree from a small number of nodes. The results from the implemented adjustments indicate a significant...
This paper proposes a method for speeding up the estimation of the absolute value of largest eigenvalue of an asymmetric tridiagonal matrix based on Power method. An error analysis shows that the proposed method provide errors no greater than the usual Power method. The proposed method involves the computation of the tridiagonal matrix square under analysis, which is performed through a proposed fast...
During the past twenty years many methods have been presented in the literature as effective fault locators. These methods are based on impedance (time- or phasor-domain), travelling wave, or even using power quality data, superimposed components, and artificial intelligence based algorithms. Some of them are exclusively used for sub-transmission/transmission lines (overhead, underground, and joint-nodes),...
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...
Field polynomial division can be found in applications such as error detection and data encoding for digital communication systems. In addition, it implements the extended Euclidean algorithm (EEA), which can be used as the field inversion building block of elliptic curve cryptosystem. The unpredictability of the iterative algorithm of polynomial division in the EEA-Based field inversion results in...
Recruiters evaluate and filter job seekers, ranking them on various criteria. This includes how much of the required and desired requirements are satisfied, ensuring the candidate is the “best match” to vacancy. However, most vacancies do not classify the set of skills as required and desired explicitly. Required skills are those skills a job seeker must have in order to be considered for the job...
Extreme Learning machines (ELM) and Support Vector Machines have become two of the most widely used machine learning techniques for both classification and regression problems of recent. However the comparison of both ELM and SVM for classification and regression problems has often caught the attention of several researchers. In this work, an attempt has been made at investigating how SVM and ELM...
The advance of CMOS process is still going, but the end is coming into sight. Semiconductor chips with advanced process later than 21nm are so expensive that they are developed only for million selling products. On the other hand, the advanced AI, IoT and big data technologies require more and more computation/communication power with a tightly limited power budget. How we can develop a “Cool chips”...
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