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The quantum computing represents a new field, which is still being researched, that may have numerous applications in the computer arithmetic, in the encryption - decryption systems, rapid search algorithms and physical systems' emulations. The hardware device that can make this type of calculations is still expensive nowadays and the number of the manufacturers is reduced. On the other hand, the...
As science evolves, there will be increasingly developed models and methods that unite disciplines. Health care improvement in Romania is a major challenge for all actors, in order to limit the brain drain of medical and technical specialists and develop models of interdisciplinary research. The purpose of this article is to present an example of academic interdisciplinary engineering-medical research,...
We present in this paper a method of increasing both the storage capacity of Hopfield neural networks and their capability of error correction. The presented method uses the general principles of generating error-correcting codes in information theory combined with a gradient - an heuristic algorithm. Using this method, there are registered improvements in the growth of network storage capacity (number...
Custom triflange implants are used today along with standard antiprotrusio cages and modular revision systems for difficult revision cases with important acetabular defects (Paprosky II C or III). This paper presents a new personalised acetabular cage in regards to the design procedure and realisation applied on a specific patient case. The cage proposed is similar in construction to a Burch Schneider...
Low Density Parity Check (LDPC) coding is a classical method for the detection and correction of errors. Its problem is the relatively complex operations which must be performed at encoding, and especially at decoding, to detect and correct errors caused by communication channels. We present a solution for the errors correction using regular LDPC and Hopfield network-based associative memories. Our...
In vibration therapy, mechanical vibrations are induced in the body while the person sits upright on a high frequency vibrating platform. Multiple meta-analyzes have shown growing interest in this type of therapy, not only to fortify muscles, for the prevention and treatment of bone decalcification (osteoporosis), but also for patients suffering from certain chronic diseases [1]. The vibrations of...
This paper take in discussion an important area of security: Elliptic Curves Cryptosystems (ECC) are the next frontier in the use of security mechanisms by providing good security margins with lower computational cost. ECC's domain is an important field emerged in information security. The elliptic curves (EC) are used for conceiving efficient factorization algorithms and for proving the primality...
This paper presents a solution of design and implementation of a hardware error correction and detection system using associative memories. This type of memory allows search of a stored binary value, having as an input data a partial (or modified) amount of this value. This property can be used in communication, for detection and correction of errors. In our experiments the encoder just associate...
This paper presents a solution of design and implementation of a hardware error correction and detection circuit using associative memories. This type of memory allows search of a stored binary value, having as an input data a partial (or modified) amount of this value. This property can be used in communication, for detection and correction of errors. In our experiments the encoder just associate...
Our paper presents a solution for designing and implementation of a hardware error correction and detection circuit using associative memories. Associative memories allow the searching of a binary stored value, having as an input data a partial (or modified) amount of this value. This associative memories' property can be used in communication for detecting and correcting the errors encountered in...
This paper presents how an improvement can be realized by using prediction in Process Failure Mode and Effects Analyze (PFMEA) with the neural networks approach to determine the fault occurrence. Neural networks have the ability to time-series data prediction, in our case series containing all values of the failures of the items. The improvement in prediction of PFMEA has followed continuously data...
Forward error correction (FEC) and automatic request (ARQ) are common techniques used to treat transmission errors when data are transmitted over noisy channels. In practical applications where feedback is possible, ARQ technique are often more preferable than FEC schemes because error detection requires much simpler decoding equipment and achieves a higher reliability than does error correction....
In this paper we present a solution for designing a Reed-Muller decoder using associative memories based on Hopfield networks. The decoding with classical methods requests high computation resources and needs longer response times. Our solution implies the usage of associative memories in the decoding process, this method being more efficient than the classical ones.
Our paper presents the prototyping of a BCH (Bose, Chaudhuri, and Hocquenghem) encoder and decoder using a Field Programmable Gate Array (FPGA) reconfigurable chip. These types of codes are used in communications networks to detect and correct errors. Typically, the algorithms that implement these codes are sequentially type. Our solution is a combination of a parallel and a sequential implementation...
This paper presents a study concerning vibration propagation through human body, for two cases: an ortostatic position and a flexional movement of a leg in stand-up position. Two parameters are measured: the acceleration transmissibility from the legs to the head and the coherence of this function, for static and different degrees of effort. The modifications of these functions during stress are monitored...
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