Autor: Agah, A. - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: Robotic approaches to seismic surveying
Autorzy:: Gifford, Ch.
Agah, A.
Tematy:: robotic seismic
seismic automation
hybrid streamers
mobile robots
seismic surveying; Pokaż więcej
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Powiązania:: https://bibliotekanauki.pl/articles/384682.pdf Link otwiera się w nowym oknie
Opis:: Due to the remoteness and harshness of some environments, integrating mobile robotics and seismic surveying to automate the process becomes very attractive. Because robotic applications to seismic surveying have been extremely limited, this paper represents a base for sparking novel techniques that can potentially be employed in any environment and potentially on other planets. It also presents a categorization of techniques involving robotic seismic automation. Traditional seismic methods are analyzed in terms of robotic automation possibilities and compared in terms of strengths, weaknesses, reliability, relative cost, and complexity. Futuristic seismic methods such as Hybrid Streamers and a Multi-Robot Seismic Surveying Team are also discussed in detail, along with simulation results from a multi-robot grid formation study.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Evolutionary Learning of Goal-Oriented Communication Strategies in Multi-Agent Systems
Autorzy:: Althnian, A.
Agah, A.
Tematy:: multi-agent system
communication strategy
evolutionary communication
genetic algorithms; Pokaż więcej
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Powiązania:: https://bibliotekanauki.pl/articles/384735.pdf Link otwiera się w nowym oknie
Opis:: Previous studies in multi-agent systems have observed that varying the type of information that agents communicate, such as goals and beliefs, has a significant impact on the performance of the system with respect to different, usually conflicting, performance metrics, such as speed of solution, communication efficiency, and travel distance/cost. Therefore, when designing a communication strategy for a multi-agent system, it is unlikely that one strategy can perform well with respect to all of performance metrics. Yet, it is not clear in advance, which strategy will be the best with respect to each metric. With multi-agent systems being a common paradigm for building distributed systems in different domains, performance goals can vary from one application to the other according to the domain’s specifications and requirements. To address this issue, this work proposes a genetic algorithm-based approach for learning a goal- oriented communication strategy. The approach enables learning an effective communication strategy with respect to flexible, user-defined measurable performance goals. The learned strategy will determine what, when, and to whom information should be communicated during the course of task execution in order to improve the performance of the system with respect to the stated goal. Our preliminary evaluation shows that the proposed approach has promising results and the learned strategies have significant usefulness in improving the performance of the system with respect to the goals.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Face detection in color images using skin segmentation
Autorzy:: Hajiarbabi, M.
Agah, A.
Tematy:: skin detection
neural networks
face detection
skin segmentation
image processing; Pokaż więcej
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Powiązania:: https://bibliotekanauki.pl/articles/384677.pdf Link otwiera się w nowym oknie
Opis:: Face detection which is a challenging problem in computer vision, can be used as a major step in face recognition. The challenges of face detection in color images include illumination differences, various cameras characteristics, different ethnicities, and other distinctions. In order to detect faces in color images, skin detection can be applied to the image. Numerous methods have been utilized for human skin color detection, including Gaussian model, rule-based methods, and artificial neural networks. In this paper, we present a novel neural network-based technique for skin detection, introducing a skin segmentation process for finding the faces in color images.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Face Recognition Using Canonical Correlation, Discrimination Power, and Fractional Multiple Exemplar Discriminant Analyses
Autorzy:: Hajiarbabi, M.
Agah, A.
Tematy:: face recognition
Canonical Correlation Analysis
Discrimination Power Analysis
Multiple Exemplar Discriminant Analysis
Radial Basis Function neural
networks; Pokaż więcej
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Powiązania:: https://bibliotekanauki.pl/articles/384779.pdf Link otwiera się w nowym oknie
Opis:: Face recognition is a biometric identification method which compared to other methods, such as finger print identification, speech, signature, hand written and iris recognition is shown to be more noteworthy both theoretically and practically. Biometric identification methods have various applications such as in film processing, control access networks, among many. The automatic recognition of a human face has become an important problem in pattern recognition, due to (1) the structural similarity of human faces, and (2) great impact of factors such as illumination conditions, facial expression and face orientation. These have made face recognition one of the most challenging problems in pattern recognition. Appearance-based methods are one of the most common methods in face recognition, which can be categorized into linear and nonlinear methods. In this paper face recognition using Canonical Correlation Analysis is introduced, along with the review of the linear and nonlinear appearance-based methods. Canonical Correla- tion Analysis finds the linear combinations between two sets of variables which have maximum correlation with one another. Discriminant Power analysis and Fractional Multiple Discriminant Analysis has been used to extract features from the image. The results provided in this paper show the advantage of this method compared to other methods in this field.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Topological localization using appearance-based recognition
Autorzy:: Akers, E. L.
Agah, A.
Tematy:: topological localization
mobile robotics
computer vision
appearance-based methods; Pokaż więcej
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Powiązania:: https://bibliotekanauki.pl/articles/384533.pdf Link otwiera się w nowym oknie
Opis:: Localization is a fundamental problem of autonomous mobile robots. Localization is the determination of the position and orientation of a robot. Most localization systems are made up of several sensors and a map of the environment. Sophisticated localization systems can solve both the global location problem and the kid-napped robot problem. Global localization is the process of placing the robot into an unknown location within the map, and the robot should be able to locate itself within a relatively short period of time. The kidnapped robot problem is similar to global localization, as it is a test of how well the robot is able to recover after becoming lost. The robot is “teleported” to a new location, and the robot should again be able to determine its new location within a relatively short amount of time. CReSIS (Center for Remote Sensing of Ice Sheets) is developing autonomous robots in an effort to measure ice sheets characteristics in Greenland and Antarctica. These robots currently rely on differential GPS for localization and navigation. In order to survive for long periods of time in these environments, however, the robots need to be able to return to campsites in order to refuel and unload the data that has been acquired. In order to perform this task effectively and safely, a more elaborate system is required. A localization system that can recognize the dfferent locations of the campsites is the beginning of this process. The approach is to use a single camera for use in multiple types of large-scale environments, indoors and outdoors using a topological map. The system described uses an appearance-based approach for recognizing the different locations. The appearance-based methods attempt to recognize the appearance of a scene rather than specific objects. Several different types of features are tested including histograms, eigenimages, and Hu Moments. Using these simple features, the system is able to determine its location within the map at 95% accuracy.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Robotic rehabilitation of stroke patients using an expert system
Autorzy:: Natarajan, P.
Agah, A.
Liu, W.
Tematy:: rehabilitation robots
intelligent systems
human-robot interaction
expert systems
stroke therapy; Pokaż więcej
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Powiązania:: https://bibliotekanauki.pl/articles/384968.pdf Link otwiera się w nowym oknie
Opis:: Approximately 50 to 60 percent of the more than five million stroke survivors are moderately or minimally impaired, and may greatly benefit from rehabilitation. There is a strong need for cost-effective, long-term rehabilitation solutions, which require the therapists to provide repetitive movements to the affected limb. This is a suitable task for specialized robotic devices; however, with the few commercially available robots, the therapists are required to spend a considerable amount of time programming the robot, monitoring the patients, analyzing the data from the robot, and assessing the progress of the patients. This paper focuses on the design, development, and clinically testing an expert systembased post-stroke robotic rehabilitation system for hemiparetic arm. The results suggest that it is not necessary for a therapist to continuously monitor a stroke patient during robotic training. Given the proper intelligent tools for a rehabilitation robot, cost-effective long-term therapy can be delivered with minimal supervision.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Molecular cloning of the OMP19 gene from Brucella melitensis strain H38 and its antigenicity compared to that of commercial OMP19
Autorzy:: Uslu, A.
Sanioglu Golen, G.
Agah Tekindal, M.
Sakmanoglu, A.
Sayın, Z.
Denizli, O.
Gok, A.
Erganis, O.
Tematy:: rOMP19 antigen
Brucella melitensis
recombinant protein; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czasopisma i Monografie PAN
Powiązania:: https://bibliotekanauki.pl/articles/16630377.pdf Link otwiera się w nowym oknie
Opis:: Brucellosis is a worldwide zoonosis, that can still be classified as endemic despite its ancient origins which causes economic losses and public health problems. Although effectively controlled by vaccination in animals, there is currently no vaccine for use in humans. Outer Membrane Proteins (OMP) that play an active immunogenic and protective role in the Brucellae family. OMP19 is present in all Brucella species as a surface antigen and is a potent immunogen responsible for Brucellosis intracellular infection. For this reason, the study was aimed to be used safely as a potential recombinant vaccine candidate against all Brucella infections, especially in humans and pregnant animals. This study evaluated a Brucella lipoprotein antigen, i.e. 19 kilodalton (kDa) outer membrane protein (OMP19), which was amplified and cloned into the pETSUMO vector system. The immunogenic power of the purified recombinant OMP19 antigen against brucellosis was compared with that of OMP19 (Raybiotech Inc, USA) in a mouse model and the obtained rOMP19 antigen was found to be similar to the commercially available recombinant protein.
Dostawca treści:: Biblioteka Nauki

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