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This paper aims at investigating the effects of the ocean current in the thrusters closed-loop performance. In particular, the intervention case, and thus the vehicle slowly moving, is of interest. Vehicle controllers are commonly designed without taking into account both the thruster dynamics and the presence of ocean current which, however, influence the closed loop. A fixed gains PID and an adaptive...
This paper presents a general comparison between various types of linear generators for wave energy conversion. According to the type of magnetic configuration they are distinguished as: linear asynchronous generators, linear generators with permanent magnets and linear reluctance generators. The paper shows their peculiarities and discusses their field of applications.
In this paper, we study a new type of spatial sparse recovery problem, that is to infer the fine-grained spatial distribution of certain density data in a region only based on the aggregate observations recorded for each of its subregions. One typical example of this spatial sparse recovery problem is to infer spatial distribution of cellphone activities based on aggregate mobile traffic volumes observed...
In the age of big data, many graph algorithms are now required to operate in external memory and deliver performance that does not significantly degrade with the scale of the problem. One particular area that frequently deals with graphs larger than RAM is triangle listing, where the algorithms must carefully piece together edges from multiple partitions to detect cycles. In recent literature, two...
This paper presents a feasibility study on the prototyping of a hybrid EPAC (Electric Pedal Assisted Cycle) through an FC-B-UC (Fuel Cell — Battery — Ultra-Capacitors) power system. Aim of this work is the characterization of a PEMFC (Proton Exchange Membrane Fuel Cell) in order to confirm its theoretical performances and to verify the possibility of its installation on an e-bike.
In this paper, it is proposed a robust Second-Order Super-Twisting Sliding Mode Control for a Grid-connected inverter of a PV power plant. The proposed control strategy is able to maximize the energy extracted from the PV while regulating the DC-link voltage and achieving a power factor compensation and the reduction of currents harmonic distortion. Both in balanced or unbalanced condition, the grid...
This paper proposes the finite control set applied to the current control of an interleaved boost converter of photovoltaic systems. The proposed controller select the state of the converter semiconductor by using the predicted behavior of the converter and the minimization of a cost function. Hence, the controller guarantees that the current reference is reached. The current reference is computed...
FPGAs have been rapidly adopted for acceleration of Deep Neural Networks (DNNs) with improved latency and energy efficiency compared to CPU and GPU-based implementations. High-level synthesis (HLS) is an effective design flow for DNNs due to improved productivity, debugging, and design space exploration ability. However, optimizing large neural networks under resource constraints for FPGAs is still...
FPGAs have been rapidly adopted for acceleration of Deep Neural Networks (DNNs) with improved latency and energy efficiency compared to CPU and GPU-based implementations. High-level synthesis (HLS) is an effective design flow for DNNs due to improved productivity, debugging, and design space exploration ability. However, optimizing large neural networks under resource constraints for FPGAs is still...
This paper is focused on the design of Axial Flux Permanent Machine (AFPM) tailored for low-speed high-torque applications. In particular, the design procedure is developed starting from a tooth concentrated winding topology; given its high reliability, this is an optimal solution in the context of electric torsional damping applications, where high torque values and good dynamic performance are required...
The paper deals with a Second Order Variable Structure Control (VSC) for Wind Turbine PMSG-based and Generator-side Converter System. By means of the proposed control and the associated sliding observer, a vectorial control of PMSG generator is recognized while maximum power point tracking by the renewable source and DC voltage control of the generator-side converter are assured to maintain a high...
In this article, a current control algorithm is conceived for converting solar dc power into ac power of high-quality. This conversion is based only on a dc-ac converter, avoiding the use of two stage converter. The proposed algorithm is founded on tracking the maximum power point which ensures controlling the electrical power exchanged with the grid. To assure a good dynamics and reduce the control...
Based on the inductive power transfer (IPT), the contactless approach allows safe and comfortable operations of battery charging for Electric Vehicles (EVs). In this paper, a contactless system particularly suitable for E-bike battery charging is proposed. A practical realization of the system has been carried out, aiming at the system evaluation in terms of working and efficiency. Through a phase...
This paper presents an investigation on the comparison between the Maximum Torque Per Ampere (MTPA) and the Field Orientation Control (FOC) algorithms for interior permanent magnet synchronous machines (IPMSMs). In particular, this study was carried out on a small-power IPMSM with low salience ratio. Both control algorithms have been implemented in the Matlab/Simulink environment, obtaining promising...
The aim of the presented paper is the study of an optimal integration of Supercapacitor based storage system and Inductive Power Transfer system for the free-catenary operation of a tramway. The paper starts from the definition of the Inductive Power transfer pad system and proposed an optimal integration strategy for the correct size of on-board supercapacitors and the inductive energy transfer.
Cognitive computing - which learns to do useful computational tasks from data, rather than by being programmed explicitly - represents a fundamentally new form of computing. Unfortunately, Deep Neural Networks (DNNs) learn from repeated exposure to huge datasets, which currently requires extensive computation capabilities (such as many GPUs) working together over days or weeks of time. To accelerate...
With the development of bit density and technology scaling, the process variation (PV) has become much severe on NAND flash memory. As PV presents reliability among flash blocks, which causes read performance variation to read data on different blocks. This paper proposes to improve read performance of LDPC based flash memory by exploiting the reliability characteristics of PV. First, a block grouping...
In the context of heterogneous computing, even though GPUs are the components of election due to both their intrinsically parallel nature and their flexibility, FPGAs are being investigated and experimented due to superior power efficiency on selected workloads While GPUs are the heterogeneous components of election due to both their intrinsically parallel nature and their flexibility, FPGAs are being...
Distributed Software Development course is a joint project-based course involving three universities, from Croatia, Sweden and Italy, running each year since 2003. Distributed student teams work on all phases of a complex software engineering project, solving several challenges of working in a global environment, thus obtaining a valuable experience for their future careers. The course is very well...
The spread of antibiotic resistance is a growing problem known to be caused by antibiotic usage itself. This problem can be analyzed at different levels. Antibiotic administration policies and practices affect the societal system, which is made by human individuals and by their relations. Individuals developing resistance interact with each other and with the environment while receiving antibiotic...
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