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In order to reduce the false matching rate and matching time, an improved algorithm based on RANSAC-SIFT was proposed. The feature points were extracted by SIFT algorithm firstly. Then most of the mismatching points were eliminated according to the constraints that matching distances tend to be consistent. Finally the remaining points were regarded as pre matching points for achieve fine matching...
Classification is a well known of the significant tools used to recognize and examine most sharp information in images. Satellite image processing has become popular in these days because of benefits that those are giving. In any remote sensing particularly, the decision-making way mainly rely on the efficiency of the classification process. Image classification was performed generally and the classification...
Textile inspection system, which carries a lot of importance in the production process of textile goods, has been part of a great deal of research for automating the process. Manual textile inspection is a lengthy, slow as well as erroneous job; therefore, automation of textile inspection is a demand of time. Machine vision based i.e. automated fabric inspection deals with two primary challenges,...
Image segmentation is an important task in medical image processing to assist physicians or radiologists in making faster and effective diagnosis and treatment. However, there is still lack of effective segmentation methods to extract human spine in Magnetic resonance imaging (MRI) images. In this study, we propose a segmentation method using 12-anatomical point representation (12-APR) method for...
In software projects, there is a data repository which contains the bug reports. These bugs are required to carefully analyse and resolve the problem. Handling these bugs humanly is extremely time consuming process, and it can result the deleying in addressing some important bugs resolutions. To overcome this problem, researchers have introduced many techniques. One of the commonly used algorithm...
This paper proposes a new modeling method for induction motor (IM) field oriented control (FOC) system based on co-simulation of Maxwell, Simplerer and Simulink. This method uses Ansys/Rmxprt to calculate the initial value and optimize the performance of motor, and puts motor model into Maxwell 2D to make static and transient analysis by finite element method. The circuits of the inverter are built...
In Data Mining classification plays prominent role in predicting outcomes. One of the best supervised classification techniques in Data Mining is Naive Bayes Classification. Naive Bayes Classification is good at predicting outcomes and often outperforms other classification techniques. One of the reasons behind the strong performance of Naive Bayes Classification is due to the assumption of conditional...
This paper presents a characterization of the depth map from an RGB-D sensor, Kinect 360, to be used as an input to an obstacle detection system. Since the accuracy, reliability and timeliness of the data are crucial in the system, there is a need to characterize it. Sensor repeatability tests are done to characterize the depth map. The mean and standard deviation of measured depths and mean error...
Conventionally small area topographic detail plan is produced using land survey techniques. Various method of modern topographical detail plan however required more cost to speed up the data acquisition process for large data and high accuracy. The recent development in commercial grade Unmanned Aerial Vehicle (UAV) has the potential to be used as a data capture equipment with low cost. In this study,...
We propose secure multi-party computation techniques for the distributed computation of the average using a privacy-preserving extension of gossip algorithms. While recently there has been mainly research on the side of gossip algorithms (GA) for data aggregation itself, to the best of our knowledge, the aforementioned research line does not take into consideration the privacy of the entities involved...
Even though wine-drinkers generally agree that wines may be ranked by quality, wine-tasting is famously subjective. There have been many attempts to construct a more methodical approach to the assessment of wines. We propose a method of assessing wine quality using a decision tree, and test it against the wine-quality dataset from the UC Irvine Machine Learning Repository. Results are 60% in agreement...
The closed-form PO-PTD solution is presented to fast predict electromagnetic scattering from large-scale objects. The proposed closed-form formulation can avoid the intensive integral computation on surfaces and edges/wedges. Therefore, computation cost can be greatly reduced for electrically large structures. Numerical results show good accuracy and efficiency compared to those obtained from the...
In this paper, we propose a novel approach for reader-emotion categorization using word embedding learned from neural networks and an SVM classifier. The primary objective of such word embedding methods involves learning continuous distributed vector representations of words through neural networks. It can capture semantic context and syntactic cues, and subsequently be used to infer similarity measures...
Sentiment analysis deals with identifying polarity orientation embedded in users' comments and reviews. It aims at discriminating positive reviews from negative ones. Sentiment is related to culture and language morphology. In this paper, we investigate the effects of language morphology on sentiment analysis in reviews written in the Arabic language. In particular, we investigate, in details, how...
Robotic technologies provide accurate, objective, and highly reliable tools for assessment of brain function following stroke. KINARM is an exoskeleton device that uses a number of behavioral tasks to objectively quantify sensorimotor, proprioceptive and cognitive brain function using a battery of behavioral tasks. With a growing number of tasks deployed to more broadly assess different aspects of...
A machine translation system converts text from a natural language to other while abiding to the syntax and semantics of the latter. The area of interest here is a Rule Based machine translation system that translates text from English to Malayalam using transfer approach. The system is designed to translate sentences from cricket domain related articles. The purpose behind making the system domain...
Human action recognition system is fundamental of human activity and behavior recognition, especially for video analysis technologies. In this paper, we introduce an improvement method for human action recognition proposed by P.Chawalitsittikul et al. The actions from RGBD multi-views, taken from cameras at different static-viewpoints in the overlapping Area of Interest, are fused at high-level decision...
Feature learning plays a crucial role in the successful human action recognition. There has been a number of approaches extracting action features from depth information and 3D skeletal data. However, either the skeleton information or the depth map is not accurate for feature learning unless complex descriptors are carefully designed and embedded. In this paper, we first propose a data sparsification...
Currently, There are many E-commerce websites around the internet world. These E-commerce websites can be categorized into many types which one of them is C2C (Customer to Customer) websites such as eBay and Amazon. The main objective of C2C websites is an online market place that everyone can buy or sell anything at any time. Since, there are a lot of products in the E-commerce websites and each...
Welcome to this special panel aiming to reexamine the history of modern computing during early 20th century. During our discussion we will recognize some of the earliest efforts in transforming the world through electronic digital computing.
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