This paper describes the developement of a method to automate the validation phase of access gateways firmware releases. The method has been designed to stress the firmware in order to detect the software faults and minimize the possibility of device failures. Analysis about the performances of the proposed method shows its efficiency in term of execution time and reliability versus a manual investigation.

Movement of humans when walking and going up and down the stairs has been estimated using the Fuzzy reasoning method. In order to estimate that movement, the frequency distribution is determined for each variable using the obtained data from accelerometer. After this determination, strategic values are decided. The membership function for each value is defined based on experience and each adjusted membership function is weighted and then combined, with the resulting rules is determined by 36 patterns. The rules and membership function is examined against the movement to reach validation for daily use. Although more adjustment for membership function is required, this study enables the application of daily use of movement. The results can also be used to estimate the daily consumption of calories for our lifestyles.

The evaluation of electrical energy flows is at the base of all operations connected to the commercial transactions in energy market. Typically, the measurement apparatuses are made and characterized to work in ideal sinusoidal conditions. But, with increasing diffusion of power electronic devices, the typical characteristics of power network are far from sinusoidal ones. With the aim to link the cost of energy to the level of power quality, it is necessary to determine the energy but also the indexes which characterize the power quality. In this paper the design and implementation of a multi processor measuring instrument based on multiple digital signal processors (DSPs) is discussed. This system can embody a number of special signal processor and analog I/O modules, specifically designed to obtain the flexibility and scalability to meet the needs of real-time measurement applications and low cost. After a prototype description, a part of analysis algorithm is reported. The paper is completed by preliminary results of metrological characterization.

The capacity of the communication network is a key metric for both network planning and management, and performance assessment of applications that take advantage of the network. Several tools for capacity measurement are present in literature, which provide satisfying results when used in wired networks. On the contrary, they provide inaccurate results on wireless networks. The paper presents a refined study of processing times at each protocol layer, which suggests that capacity estimates provided by the existing tools are affected by a systematic error. A suitable measurement methodology and a related testbed are proposed to experimentally validate the theoretical results. The experimental outcomes demonstrate the validity of the study, and permit to explain why existing tools are inaccurate on wireless links.

A heuristic procedure of classification, the quantum-inspired classifier (QIC), exploiting search space exploration and resource exploitation of quantum computing on a software basis is proposed. The application to the problem of speed sequence classification for vehicle emission factor determination based on drive styles is shown. Experimental results are discussed by showing the QIC capability of converging better and faster than classical evolutionary algorithms.