4 resultados para Apprendimento, Hebbiano, Robotica, Value, system, Distributed, adaptive, control

em AMS Tesi di Dottorato - Alm@DL - Università di Bologna


Relevância:

100.00% 100.00%

Publicador:

Resumo:

Chronic pain affects one in five adults, reducing quality of life and increasing risk of developing co-morbidities such as depression. Neuropathic pain results by lesions to the nervous system that alter its structure and function leading to spontaneous pain and amplified responses to noxious and innocuous stimuli. The Opioid System is probably the most important system involved in control of nociceptive transmission. Dynorphin and nociceptin systems have been suggested key mediators of some neuropathic pain aspects. An important role also for BDNF has been recently suggested since its involvement in the peripheral and central sensitization phenomena is known. We studied neuroplastic alterations occurring in chronic pain in mice subjected to the chronic constriction injury (CCI). We investigated gene expression alterations of both BDNF and Opioid System at spinal level at different intervals of time. A transient upregulation of pBDNF and pDYN was observed in spinal cord, while increasing upregulation of ppN/OFQ was found in the DRGs of injured mice. Development of neuropathic behavioral signs has been observed in ICR/CD-1 and BDNF+/+ mice, subjected to CCI. A different development of these signs was observed in BDNF+/-. We also studied gene expression changes of investigated systems in different brain areas fourteen days after surgery. We found pBDNF, pDYN, pKOP, ppN/OFQ and pNOP gene expression alterations in several areas of CCI mice. In the same brain regions we also determined bioactive nociceptin peptide levels, and elevated N/OFQ levels were observed in the amygdala area. Histone modifications studies have been performed in BDNF and DYN gene promoters of CCI animal spinal cord showing selected alterations in pDYN gene promoter. In addition, a preliminary characterization of the innovative NOP-EGFP mice was performed. Overall, our results could be useful to understand which and how neuropeptidergic systems are involved in neuroplastic mechanism occurring in neuropathic pain.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

The aim of my project is to find operational strategies for increasing the commercial exploitation of fish in Apulia region and to acquire a thorough knowledge of several important aspects of this system order to propose concrete, suitable and appropriate development tools. The plan is to analyze the impact that the socio-economic context has on blue fish systems of fishing and marketing in the various maritime regions. The sector of fishery is typified by a settled downward trend due to both communitarian policies driving towards a reduction of the fishery effort and to reduction of fishing resources. In the same time in Italy a increasing of costs (expecially fuel) and a reduction of market prices, because of the increasing of imports, are observed. Although a big part of Italian fishing fleet is to be referred to Apulia region, this dynamics are worsen, here, also because of market inefficiency and lack of integration and cooperation among fishermen. In this first part of my work I have investigated two areas that are relevant for regional fishery. On a first step I have evaluated fish amount for each kind of dealer working in each one of the two areas than, according to Porter's value chain analysis theory. Than i have applied the approach of value system to evaluate the value chains of the firm's supplier, the firm of fishery itself, and the firms distribution channels. Distribution of value has been resulted different but very unfavorable to fisherman in both investigated areas. The second step of my study has been the evaluation of the social capital value in both areas, defining the networks of fishery consistence and number of their mutual relationship. Results lay stress on a relation to an higher social capital value and a distribution of value system more profitable for fishermen.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

The evaluation of the knee joint behavior is fundamental in many applications, such as joint modeling, prosthesis and orthosis design. In-vitro tests are important in order to analyse knee behavior when simulating various loading conditions and studying physiology of the joint. A new test rig for in-vitro evaluation of the knee joint behavior is presented in this paper. It represents the evolution of a previously proposed rig, designed to overcome its principal limitations and to improve its performances. The design procedure and the adopted solution in order to satisfy the specifications are presented here. Thanks to its 6-6 Gough-Stewart parallel manipulator loading system, the rig replicates general loading conditions, like daily actions or clinical tests, on the specimen in a wide range of flexion angles. The restraining actions of knee muscles can be simulated when active actions are simulated. The joint motion in response to the applied loads, guided by passive articular structures and muscles, is permitted by the characteristics of the loading system which is force controlled. The new test rig guarantees visibility so that motion can be measured by an optoelectronic system. Furthermore, the control system of the new test rig allows the estimation of the contribution of the principal leg muscles in guaranteeing the equilibrium of the joint by the system for muscle simulation. Accuracy in positioning is guaranteed by the designed tibia and femur fixation systems,which allow unmounting and remounting the specimen in the same pose. The test rig presented in this paper permits the analysis of the behavior of the knee joint and comparative analysis on the same specimen before and after surgery, in a way to assess the goodness of prostheses or surgical treatments.

Relevância:

50.00% 50.00%

Publicador:

Resumo:

Modern control systems are becoming more and more complex and control algorithms more and more sophisticated. Consequently, Fault Detection and Diagnosis (FDD) and Fault Tolerant Control (FTC) have gained central importance over the past decades, due to the increasing requirements of availability, cost efficiency, reliability and operating safety. This thesis deals with the FDD and FTC problems in a spacecraft Attitude Determination and Control System (ADCS). Firstly, the detailed nonlinear models of the spacecraft attitude dynamics and kinematics are described, along with the dynamic models of the actuators and main external disturbance sources. The considered ADCS is composed of an array of four redundant reaction wheels. A set of sensors provides satellite angular velocity, attitude and flywheel spin rate information. Then, general overviews of the Fault Detection and Isolation (FDI), Fault Estimation (FE) and Fault Tolerant Control (FTC) problems are presented, and the design and implementation of a novel diagnosis system is described. The system consists of a FDI module composed of properly organized model-based residual filters, exploiting the available input and output information for the detection and localization of an occurred fault. A proper fault mapping procedure and the nonlinear geometric approach are exploited to design residual filters explicitly decoupled from the external aerodynamic disturbance and sensitive to specific sets of faults. The subsequent use of suitable adaptive FE algorithms, based on the exploitation of radial basis function neural networks, allows to obtain accurate fault estimations. Finally, this estimation is actively exploited in a FTC scheme to achieve a suitable fault accommodation and guarantee the desired control performances. A standard sliding mode controller is implemented for attitude stabilization and control. Several simulation results are given to highlight the performances of the overall designed system in case of different types of faults affecting the ADCS actuators and sensors.