Protall (An Intelligent, multi-sensor, comprehensive obstacle avoidance system for automobiles and UAVs)

In this era of Artificial Intelligence and Automation, manufacturing and testing of self-driving cars and autonomous delivery of parcels to the desired location with the help of UAVs have a considerable amount of growth in the industry. This advancement in technology also raises safety issues due to the failure of sensors to detect the object or sometimes because of the dynamic environment. Protall (Protect-all) is an integrated solution for UAV and automobile vehicles to provide ultimate safety to both itself and its surroundings. With the strategic sensor integration and its intelligent processing, it aims to produce controlled output and hence, ensures to prevent any possible failures from occurring. The system constantly reacts to the environment and maintains comprehensive interaction with the user thus, enabling it to handle any dynamic situation and hence, it emerges as an optimal solution for Vehicles and UAVs.

INTELLIGENT PROCESSING OF EDUCATIONAL CONTENT TO IMPROVE THE EFFICIENCY OF THE EDUCATIONAL PROCESS

Переход к информационному обществу заставляет задуматься о готовности выпускников учебных заведений к жизни и труду в социуме XXI века. Поскольку в настоящее время скорость преобразования технологий производства опережает темпы смены поколений, возникает потребность не только в совершенствовании и дополнительном повышении квалификации, но и в неоднократном освоении новых видов деятельности в течение всей профессиональной карьеры [1]: непрерывное образование становится составной частью жизни каждого человека. Для упрощения восприятия возрастающего потока информации в образовательном процессе на различных его этапах необходимо внедрять инновационные информационные технологии, в том числе технические средства интеллектуальной обработки образовательного контента, от качества которого зависят ход и результат учебного процесса. The transition to the information society makes us think about the readiness of graduates for life and work in the society of the 21st century. Given that the rate of transformation of production technologies is now ahead of the rate of generational change, it is necessary not only to improve and additional training but also to repeatedly master new types ofactivities during working life: continuous education becomes an integral part of every person's life. To simplify the perception of the increasing flow of information at various stages of the educational process, it is necessary to introduce innovative information technologies, one of which can be technical means of intelligent processing of educational content, the quality of which determines the course and outcome of the educational process.

Discussion on the Innovation and Transformation of IMM and Processing Mode

The progress of manufacturing is the driving force and foundation of social development, and the manufacturing industry represents the country’s production level and comprehensive strength. With the continuous development and advancement of science and technology, intelligent manufacturing has transformed the traditional labor-intensive manufacturing model, which can optimize the production management process of the enterprise to a large extent and reduce the manufacturing cost. This article aims to explore the innovative transformation of intelligent machinery manufacturing (IMM) and processing models. This article first analyzes the current situation of my country’s manufacturing industry to promote intelligent manufacturing, and points out the problems that exist in the development process. Based on existing problems, this paper takes manufacturing company H as an example, through questionnaire surveys and actual research methods, explores the advantages of H company in the development of intelligent manufacturing, and finally puts forward the promotion of intelligent manufacturing capabilities and intelligent processing in the manufacturing industry. The survey data shows that among 212 people, 140 people think that H company has a clear intelligent manufacturing plan, 152 people think that the company’s human-machine cooperation is efficient, and 157 people think that the company’s production equipment technology is perfect. This shows that the advantages of H Company’s production process are: clear goals in the intelligent manufacturing transformation plan, better business cooperation between various departments, perfect management of standardized operations in the workshop, higher coverage of automation equipment, and better human-machine coordination capabilities.

Requirements for the Procedure for Assessing the Operator’s Person When Processing Accelerometer Data

The article considers the possibility of biometric authentication based on gait parameters, which are obtained after intelligent processing of the accelerometer data of a wearable device. The article discusses the main trends and trends in the field of biometric authentication, as well as authentication by gait parameters. The developed neural network algorithm and informative parameters are described in the authentication procedure based on the data of a single sensor of a portable device. The practical verification of the proposed approach is carried out on 32 subjects of different physiology. The results of the study show the possibility of distinguishing their own movements in 100% of cases, and the distinction of the subjects is more than 90%. Also, the final part of the article provides the requirements for the authentication procedure when processing accelerometric data of gait biometrics, the level of trust of the developed algorithm is determined.

Decentralized Distributed Deep Learning with Low-Bandwidth Consumption for Smart Constellations

For the space-based remote sensing system, onboard intelligent processing based on deep learning has become an inevitable trend. To adapt to the dynamic changes of the observation scenes, there is an urgent need to perform distributed deep learning onboard to fully utilize the plentiful real-time sensing data of multiple satellites from a smart constellation. However, the network bandwidth of the smart constellation is very limited. Therefore, it is of great significance to carry out distributed training research in a low-bandwidth environment. This paper proposes a Randomized Decentralized Parallel Stochastic Gradient Descent (RD-PSGD) method for distributed training in a low-bandwidth network. To reduce the communication cost, each node in RD-PSGD just randomly transfers part of the information of the local intelligent model to its neighborhood. We further speed up the algorithm by optimizing the programming of random index generation and parameter extraction. For the first time, we theoretically analyze the convergence property of the proposed RD-PSGD and validate the advantage of this method by simulation experiments on various distributed training tasks for image classification on different benchmark datasets and deep learning network architectures. The results show that RD-PSGD can effectively save the time and bandwidth cost of distributed training and reduce the complexity of parameter selection compared with the TopK-based method. The method proposed in this paper provides a new perspective for the study of onboard intelligent processing, especially for online learning on a smart satellite constellation.

The methodology of using bluetooth technology to solve the problems of identifying and determining the position of objects.

The article analyzes the possibility of using Bluetooth Low Energy technology to solve the problem of identifying and positioning objects. The analysis and comparison of methods for solving the problem of navigation in the room and the problems of identification and positioning of objects is carried out. The features in the methodology, the positioning algorithm and the architecture of the information system are revealed. An adaptive logic for the operation of labels is proposed. The methods of intelligent processing of signals from labels are considered. The method of selective activation of labels and methods of limiting the activation and signal reception zones are described.