АРХИТЕКТУРА МОБИЛЬНОГО ВЕБ-ПРИЛОЖЕНИЯ ДЛЯ ОБРАБОТКИ СИГНАЛЬНЫХ ДАННЫХ

A decision of support system architecture for handling the vibration data from various household objects, which consists of mobile, desktop and web parts is studied. Problems of optimal algorithms distribution between client and server sides of application is researched. The way to monethize mobile web applications on the basis of PhoneGAP plug-in feature are proposed.Предложена архитектура программной системы, предназначенной для обработки вибрационных данных, получаемых от различных технических объектов, состоящей из мобильной, настольной и веб-частей. Рассматриваются проблемы оптимальной организации вычислений на клиентской и серверной частях приложения. Предложен способ монетизации мобильных веб-приложений, базирующийся на использовании механизма плагинов для PhoneGAP

ОРГАНИЗАЦИЯ ХРАНИЛИЩ ДАННЫХ ДЛЯ РАСПРЕДЕЛЕННОЙ СИСТЕМЫ АНАЛИЗА ВИБРАЦИОННЫХ СИГНАЛОВ

Article covers the methods of vibration signals long implementations analysis as well as complex analysis of large amounts of signal data. Several architectural pattern applications of signal and analytical data warehouses for decision support system that evaluates the vibration characteristics of the objects are proposed. The ways of extending and embedding third-party functionality in MS SQL Server engine are recommended.Рассмотрены способы организации хранения длинных реализаций вибрационных сигналов, а также способы комплексного анализа больших объемов сигнальных данных. Приведены способы и методы организации сигнального и аналитического хранилищ данных для системы поддержки принятия решений, оценивающей вибрационные характеристики исследуемых объектов. Рассмотрены способы расширения и встраивания сторонней функциональности в СУБД MS SQL Server

ShadowTutor: Distributed Partial Distillation for Mobile Video DNN Inference

Following the recent success of deep neural networks (DNN) on video computer vision tasks, performing DNN inferences on videos that originate from mobile devices has gained practical significance. As such, previous approaches developed methods to offload DNN inference computations for images to cloud servers to manage the resource constraints of mobile devices. However, when it comes to video data, communicating information of every frame consumes excessive network bandwidth and renders the entire system susceptible to adverse network conditions such as congestion. Thus, in this work, we seek to exploit the temporal coherence between nearby frames of a video stream to mitigate network pressure. That is, we propose ShadowTutor, a distributed video DNN inference framework that reduces the number of network transmissions through intermittent knowledge distillation to a student model. Moreover, we update only a subset of the student's parameters, which we call partial distillation, to reduce the data size of each network transmission. Specifically, the server runs a large and general teacher model, and the mobile device only runs an extremely small but specialized student model. On sparsely selected key frames, the server partially trains the student model by targeting the teacher's response and sends the updated part to the mobile device. We investigate the effectiveness of ShadowTutor with HD video semantic segmentation. Evaluations show that network data transfer is reduced by 95% on average. Moreover, the throughput of the system is improved by over three times and shows robustness to changes in network bandwidth.Comment: Accepted at ICPP 202

DISTRIBUTED WAREHOUSING FOR VIBRATIONAL SIGNALS ANALYSIS SYSTEM

Article covers the methods of vibration signals long implementations analysis as well as complex analysis of large amounts of signal data. Several architectural pattern applications of signal and analytical data warehouses for decision support system that evaluates the vibration characteristics of the objects are proposed. The ways of extending and embedding third-party functionality in MS SQL Server engine are recommended

MOBILE WEB-APPLICATION ARCHITECTURE CONCEPT FOR VIBRATIONAL SIGNALS PROCESSING

A decision of support system architecture for handling the vibration data from various household objects, which consists of mobile, desktop and web parts is studied. Problems of optimal algorithms distribution between client and server sides of application is researched. The way to monethize mobile web applications on the basis of PhoneGAP plug-in feature are proposed