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Structural changes of the informational society based on knowledge underline the necessity of changes in the educational system too, according to the social, economic needs, etc. ICT offers teachers a variety of tools to adapt the educational process to the needs of each student in the transition from teacher-centred instruction to the creation of pupil-centred interactive educational means. The teacher...
The 3D object recognition stands a very important role in the process of computer vision. The recognition of objects is fundamental step in the design of more automated systems. The need for these systems is now high. Therefore, the 3D object recognition has a high impact. The most frequently used methods are based on neural networks (NNs), or, the derivation of NNs. The NNs approaches have high impact...
The growth of online services has resulted in a great need for tools to secure systems from would-be attackers without compromising the user experience. CAPTCHAs (Completely Automated Public Turing Tests to Tell Computers and Humans Apart) are one tool for this purpose, but their popular text-based form has been rendered insecure by improvements in character recognition technology. In this paper,...
In this paper, we propose PGIS, a parallelism and garbage collection aware I/O Scheduler, which identifies the hot data based on trace characteristics to exploit the channel level internal parallelism of flash-based storage systems. PGIS not only fully exploits abundant channel resource in the SSD, but also it introduces a hot data identification mechanism to reduce the garbage collection overhead...
This work proposes traceability link derivation process and theorems to establish the trace links between system objectives, requirements, design models and system/subsystems/components. The traceability relation definitions and three kinds of traceability links are defined by adopting requirements traceability reference models. Based on the definitions and graph theory, the dependency link derivation...
In the recent years, ultra-high-frequency radio frequency identification (RFID UHF) technology is very potential technology suitable for various areas of applications. The most valuable applications of RFID tag is low cost and long recognition distance. This research introduces the novel concept of applying the passive RFID wristband tags for identifying the graduates. This application manages to...
Object instance recognition enables the realization of many potential applications, such as information retrieval, scene understanding and human computer interaction. However, it is still a challenging problem in computer vision. The appearance of an object is affected by variations in illumination, viewpoint and occlusion. In this contribution, we propose an object instance recognition method based...
The applicability of the identification measurements of seismographic records for the formation of the informative parameters of their analysis is shown in this paper. The type of identification parameter is experimentally defined which change is connected with a distribution structure of the seismographic records reading. The computer device was created realizing the seismographic records analysis...
A mini quadrotor can be used in many applications, such as indoor airborne surveillance, payload delivery, and warehouse monitoring. In these applications, vision-based autonomous navigation is one of the most interesting research topics because precise navigation can be implemented based on vision analysis. However, pixel-based vision analysis approaches require a high-powered computer, which is...
In the article distinctive feature for modern IT equipment present on the European Union market have been presented. The collected measurement results of radiated emission generated by particular components of IT devices allowed it to build data base which could be used for identification of components characterized by too high level of radiated emission. This paper describes the implementation a...
Recent technological advancement in mobile technologies had changed the learning process for urban poor group in Malaysia. However, the main problem is lacking of understanding of the factors that drive urban poor to use m-learning. Thus, the main objectives of this exploratory research are (i) to identify the factors that drive urban poor to use m-learning and (ii) to provide recommendations to improve...
Task of 3D scene generation has been focused in many systems but without processing its input query. Such system automatically generates 3D equivalent of text input by identifying explicit and implicit constraints. However, if input query is refined, generation of more relevant scene will be easy. Our proposed system takes raw text as input identifies misspelled, incomplete and non visualizable words...
In this study, we combine a voxel selection method with temporal mesh model to decode the discriminative information distributed in functional Magnetic Resonance Imaging (fMRI) data. We first employ one way Analysis of Variance (ANOVA) feature selection to select the most informative voxels. Then, we form meshes around selected voxels with their spatial and functional neighbors by employing the Mesh...
Installed sound applications typically involve a large number of audio processors, amplifiers and speaker systems spread across the venue. They could be spatially distributed at the venue across different rack rooms and floors. These systems are commissioned and configured by sound engineers using software application(s). This is essentially a one-time activity, following which, the audio systems...
The research that we conducted seeks to ascertain the contribution of the use of multimedia interactive whiteboard (MIW) in the introduction to reading and writing to students of the 1st grade of the 1st cycle of basic education. The sample was composed by all the students in a class of Basic School, located in Castelo Branco. The objectives that guided our study were to introduce the MIW in an educational...
Testing is way of insuring quality of the product. Object oriented testing is challenging task. It becomes more intense in integration level when different units interact for proper functioning of system. These Interacting Objects must be in desired state to achieve the required coverage. This can be achieved by generating method sequences. Manually test case generation is a tedious job and in object...
The motivation behind this work is to explore and pursue benefits of Cognitive Informative and Artificial Intelligence. Computer based Image Analysis and Machine Vision are based on Image Processing Algorithms. Choosing the best concept to comprehend a meaning in natural language generation is one of the tough tasks. A vision system while navigating in an environment should be able to recognize what...
Electronic Data Processing used automated methods for processing commercial data. There is big amount of work on discovering duplicates in relational data; merely elite findings concentrate on duplication in additional multifaceted hierarchical structures Electronic information is one of the key factors in several business operations, applications, and determinations, at the same time as an outcome,...
Object recognition system is divided into two parts namely, feature extraction and classification. Feature Extraction part consists of rotation, translation and scale invariant features. Recognition part consists of fuzzy min-max neural network with compensatory neuron architecture (FMCN). MPEG7 shape database is used for experimentation. The performance of FMCN is compared with fuzzy min-max neural...
A digital forensics investigation may involve procedures for both live forensics and for gathering evidence from a device in a forensics laboratory. Due to the focus on capturing volatile data during a live forensics investigation, tools have been developed that are aimed at capturing specific data surrounding state information. However, there may be circumstances whereby non-volatile data analysis,...
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