Research of object recognition using neural network Inception-v3 model operating on Raspberry Pi B3+

Image Classification is the most important problem in the field of computer vision. It is very simple and has many practical applications, the image classifier is responsible for assigning a label to the input image from a fixed category group. This article has applied image classification to identify objects by giving the image of the object to be identified, then labeling the image and announcing the label name (object name) through the audio channel. The classification is based on the neural network Inception-v3 model that has been trained on Tensorflow and used Raspberian operating system running on the Raspberry Pi 3 B+ to create a device capable of recognizing objects which compact size and convenient to apply in many fields.

Mediating distance: new interfaces and interaction design techniques to follow and take part in remote museum visits

Purpose This paper presents a study of a system that allows remote and onsite visitors to share a museum visit together in real time. The remote visitors are older adults at a care home and their relatives and/or friends who are at the museum. The museum visits are interactive. Meaningful stories accompany the museum exhibits, and there’s an audio channel between onsite and remote visitors. The aim of the study is to determine whether the remote visitors, i.e. older adults are able to use such technology and to study the mediated sense of spatial presence, social closeness, engagement and enjoyment in the visit. This study discusses the relationship between these aspects and factors leading to a better remote experience for older adults. Design/methodology/approach This study has 14 onsite and 12 remote older adult participants. Standardized questionnaires measured the mediated sense of spatial presence, the experienced social closeness and the level of participants' engagement and enjoyment in the visit of the older adult participants and traced onsite visitors in their position during the visit. The audio logs were subjected to thematic content analysis. Findings The results show that older adults enjoy and engage in remote visits, and that there is a positive correlation between enjoyment, engagement and social closeness. The findings argue that both the audio channel and the interactive story are important for creating an affective virtual experience: the audio channel increases the sense of closeness, whereas the interactive story makes the visit more engaging, providing structure, direction and purpose to the visit. Originality/value This work advances the state of art in the domain of technologies for older adults and addresses the needs of this population to stay in contact with both people and places.

DOMINATING PERCEPTIVAL MODALITY AND PERFORMANCE OF TEACHERS OF 15 - 16 YEARS OF STUDENTS IN NVMU

The article presents the results of a study of the dominant perceptual modality in adolescents 15-16 years of age studying in pre-university educational institutions of the Ministry of Defense. It was revealed that pupils with a predominance of the visual channel of perception are more successful in mastering the program material; among pupils studying satisfactorily, the audio channel of perception dominates. In the studied teachers, the audio channel is presented as the dominant channel of perception.

Performance Analysis of Bit Loading Algorithms for fault tolerant Submarine Communication

In this paper, performance metrics of rate adaptive and margin adaptive bit loading algorithms is simulated and analyzed to improve the data rate in undersea communication channel. In fault tolerant undersea communication, achieving higher data rate is a challenge. Bit loading algorithms have proven efficient with limited power budget. An optimal bit loading algorithm with low complexity and fast convergence for rate adaptive and margin adaptive problems with bit error rate (BER) constraints will increase the data rate and reliability of the system significantly. The simulation has been carried for submarine audio channel with a bandwidth of 0- 20kHz considering ambient noise and thorps attenuation model for 16 subcarriers. Three different approaches such as Chow, Campello and Ant Colony Optimization are simulated for margin adaptive and rate adaptive criteria. Simulation results show that, for margin adaptive conditions Campello and ACO algorithms reduce energy by a factor of 71.50% and 13.05% with respect to Chow’s algorithm with an input of 90 bits. It was also observed that for rate adaptive conditions, Chow and ACO algorithms gave marginally increased bit rate compared to Campello algorithm with energy fixed at 8.35J. Campello and ACO algorithm execution time were reduced by a factor of 67% and 87.10% respectively as compared to Chow’s algorithm.