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At present, we are living in the era where the real time information is the first priority of the people. Most of the people use public transport vehicles to travel in their daily life and the time is wasted while waiting for the public transport vehicles in the absence of correct information. The developed countries are using GPS-based techniques for smart location tracking of the public vehicles...
This paper present a keystroke dynamics Biometrie system using neural network as its classifier to recognize an individual. Biometric scheme are being widely used as their security merits over the earlier authentication system based on their history, that is the records were easily lost, guessed or forget. Biometric is more complex than password and is unique for each individual. Keystroke dynamics,...
Recently there has been a huge interest in secure and private cloud computing. In particular; to perform signal processing and machine learning tasks in the encrypted domain. Homomorphic encryption offers provably secure, asymmetric encryption solution to this problem, however, it comes with a high storage and computation cost. Compressed sensing (CS) and random projection (RP) approaches are much...
An portfolio optimization problem with fuzzy random variables is discussed. Risk measures for fuzzy random variables are introduced by perception-based approach. Randomness is estimated stochastically, and fuzziness are evaluated by the mean values with evaluation weights and λ-mean functions. Using coherent risk measures, we discuss a portfolio optimization problem under randomness and fuzziness...
Attention deficit hyperactivity disorder creates conditions for the child as s/he cannot sit calm and still, control his/her behavior and focus his/her attention on a particular issue. Five out of every hundred children are affected by the disease. Boys are three times more than girls at risk for this complication. The disorder often begins before age seven, and parents may not realize their children...
Nowadays; Parallel corpus is one of the most important resources which can be employed in different researches such as machine translation, bilingual lexicography, and linguistics. This paper describes the process of building a large-scale (about 400, 000 sentence pairs) English-Persian parallel corpus called Tehran Parallel Corpus (TPC). The aim of study is to introduce the structure and explain...
Over the past years, firms around the world have implemented enterprise resource planning (ERP) systems to have a standardized information system in their respective organizations and to re-engineer their business processes. Based on the business pressures force to take more powerful reactions, like as cost down the supply chain, slash stock, shorten manufacturing time, increase product category,...
Automated medical assistance system is in high demand with the advances in research in the machine learning area. In many such applications, availability of labeled medical dataset is a primary challenge and dataset of dental diseases is not an exception. An attempt towards accurate classification of dental diseases is addressed in this paper. Labeled dataset consisting of 251 Radio Visiography (RVG)...
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
The statistical models required the large data in the time series forecasting. While, to forecast the limited data or small data cannot be suggested by using these models. In this paper, we are interested to apply fuzzy random auto-regression model to handle the university enrollment data. The accuracy of the forecasting model can be improved through the left-right procedure. The yearly enrollment...
A wireless mesh network (WMN) is a set of three kinds of nodes: clients, routers and gateways. One of the most challenging issues when dealing with a WMN is how to deploy mesh routers when the positions of mesh clients are known. In this paper, we consider a dynamic router node placement problem where, in addition, mesh clients are mobile. To solve this issue, we apply the simulated annealing metaheuristic...
Nowadays face detection plays an important role in recognition, emotion recognition, computer-human interaction, etc. This paper presents a novel method for the detection of facial features in images. The main objective is to develop a fully automatic facial feature detection system. The method proposed in this paper uses a combination of methods to detect facial features. It first uses the Viola-Jones...
Segmentation process in an essential part in image processing to obtain good preparation either for further process of data mining or object recognition. This paper proposes a new method of segmenting tomato image for clustering its ripeness. The tomato images are taken from three types of smartphone camera in various lighting condition with white background. When taking picture by using smartphone...
The main purpose of the paper is to present the reduction process of type-2 zigzag uncertain variables with an application to a two stage solid transportation problem (STP). The problem under consideration has been described with all its parameters are in type-2 zigzag uncertain variables. To solve the problem, we have used the proposed reduction method which is based on expected value of the type-2...
Flexible Manufacturing System (FMS) attracts industries to adopt it for its high productivity and flexibility. Recent improvement of FMS focuses on real-time tracking to ease planning, control and inspection to final product. One of the potential tools to be used in tracking, monitoring and controlling the final products is the Radio Frequency Identification (RFID) technology. Implementing RFID will...
Shifts in technology can bring dramatic changes in the competitive positioning of an organization. On the one hand it provides opportunities to create new value propositions and thus opportunity to grow, but on the other hand it also threatens the existence of organizations that fail to grasp the scale and/or significance of given technological change. Technology intelligence and forecasting have...
Grey Level Co-Occurrence matrix is one of the oldest techniques used for texture analysis. The Grey Level Co-Occurrence matrix has two important parameters i.e. distance and direction. In this paper various combinations of distance and directional angles used for GLCM calculation are analyzed in order to recognize certain patterned images based on their textural features. Patterns considered in this...
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