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A common approach for developing robotic systems leverages separate simulation and control softwares. Although this approach requires minimal coordination and orchestration between softwares, the separation of simulation and control applications presents the designer with unnecessary challenges during development. This paper describes the Autonomous Robot Control and Simulation (ARCS) software, a...
A big challenge in the precision agriculture is the detection of fruits in coffee crops on agricultural environments. This paper presents a comparison of four features set to detect the red fruits (mature) in Coffee plants. An Unmanned Aerial Vehicle (UAV) is used to obtain high-resolution RGB images of a coffee hall. The proposed methodology enables the extraction of visual features from image regions...
Automatic image aesthetics rating has received a growing interest with the recent breakthrough in deep learning. Although many studies exist for learning a generic or universal aesthetics model, investigation of aesthetics models incorporating individual user’s preference is quite limited. We address this personalized aesthetics problem by showing that individual’s aesthetic preferences exhibit strong...
The paper deals with algorithmic issues of the process of separating periods in the pulsed signal of the radial artery. The periodization algorithm is a set of various procedures for processing an impulse signal that can confidently allocate periods in a signal. It precedes the rest of the analysis stages. The procedures used in the algorithm are described. The expediency of their application is discussed...
Blind image quality assessment (BIQA) methods aim to estimate the quality of a given test image without referring to the corresponding reference (original) image. Most BIQA methods use visual sensitivity models, which take into consideration intrinsic image characteristics (e.g. contrast, luminance, and texture) to identify degradations and estimate quality. For example, texture-based BIQA methods...
Several cases are known where faults in spreadsheets have caused severe losses of money for companies. Besides other factors, the non-existence of advanced testing and debugging mechanisms in environments like MS Excel causes faults in spreadsheets to remain undetected. In this paper we describe the main functionality of the EXQUISITE tool, a software system and add-in to MS Excel that was developed...
Spreadsheets serve as a basis for decision-making processes in many companies and bugs in spreadsheets can therefore represent a considerable risk to businesses. Systematic tests can help to locate such bugs, but providing test cases can be cumbersome and complex for large real-world spreadsheets. To make the specification of test cases easier, we propose to split spreadsheets into smaller logically...
Many researchers have studied the behaviour of successful developers while debugging desktop software. In this paper, we investigate the embedded-software debugging by intermediate programmers through an exploratory study. The bugs are semantic low-level errors, and the participants are students who completed a real-time operating systems course in addition to five other programming courses. We compare...
We propose ‘Hide-and-Seek’, a weakly-supervised framework that aims to improve object localization in images and action localization in videos. Most existing weakly-supervised methods localize only the most discriminative parts of an object rather than all relevant parts, which leads to suboptimal performance. Our key idea is to hide patches in a training image randomly, forcing the network to seek...
In this paper, problem of identifying and tracking the power port of remote radio unit (RRU) is addressed. The testing of RRU requires the inspection robot to insert the probes into its power and network ports. In order to solve this problem, an experimental setup of visual servoing with 6 degrees of freedom (DoF) manipulator has been established. The initial problem of recognizing and tracking the...
Gamification, which is the use of game techniques in contexts not related to games, has been increasingly used in the educational area to motivate and engage students. The aim of this paper is to evaluate the usability and the user experience of gamified educational systems. For this, a heuristic evaluation using the ergonomic criteria as guideline was conducted in 10 different gamified educational...
Specifications for a software system are usually verified using test cases in the testing phase. As is code coverage, specification coverage is expected to help comprehend how many specifications to be implemented are tested. In this study, we apply a visualization process for specification coverage to a web application development project in industry. This process provides two views for visualization...
Existing video event classification approaches suffer from limited human-labeled semantic annotations. Weak semantic annotations can be harvested from Web-knowledge without involving any human interaction. However such weak annotations are noisy, thus can not be effectively utilized without distinguishing its reliability. In this paper, we propose a novel approach to automatically maximize the utility...
The aim of this paper is to investigate the use of oculography signals for the recognition of experts in visual arts. We focused our attention on the number of sight transitions between characteristic image areas (ROIs). In the experiments we used oculographic data recorded at the Department of Experimental Psychology at the Catholic University of Lublin for 29 images and 34 users. The EM method was...
With the rapid development of Internet technologies such as cloud computing and big data, the scales of distributed information systems in big companies have grown to enormous sizes. Automatic detection and diagnosis of system faults in the large-scale information systems is complicated and important in both practice and research. In this paper, we propose a Graph-based Fault Diagnosis approach in...
This paper investigates the relationship between audio models for Virtual Reality (VR) video with respect to the senses of immersion and realism that each model delivers. Mono, Stereo, 5.1 Surround Sound, and a Virtual Spatialised Position configuration was developed for testing in a VR music video and evaluated with a user study. Participants experienced the VR video with these differing audio models...
Visualization of data in learning management systems became essential for easier analysis of learner's behavior and interpretation of results on such system. In this paper, we presented design and development process of dashboard for the prototype of program support-CM Tutor. After analysis of various approaches of designing a learning analytics dashboard, we selected most important items for display...
FauM diagnosis is crucial to maintain safe and efficient operations of industrial processes. In this paper, a minimax probability machine (MPM) approach based on the framework of probabilistic representations is put forward for diagnosing process faults, without imposing any assumptions on data distributions. Moreover, a technique of pairwise discriminate analysis is incorporated to handle the classification...
The following paper presents a new approach for analyzing learning style at the beginning of course. Learner styles, learning style models and existing methods to identify learning style are explained. With proper using of Item Response Theory for determining learner style, greater impact on learning experience can be achieved, such as personalized learning, effective learning as well high satisfaction...
Deep learning has been applied to saliency detection in recent years. The superior performance has proved that deep networks can model the semantic properties of salient objects. Yet it is difficult for a deep network to discriminate pixels belonging to similar receptive fields around the object boundaries, thus deep networks may output maps with blurred saliency and inaccurate boundaries. To tackle...
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