Принцип минимального информационного рассогласования в задаче распознавания дискретных объектов
A fridge plays an important role in the kitchen in comparison to other appliances because it helps to store food products at optimal conditions for a long period of time. The ordinary refrigerators perfectly allow preserving meals but they are not effective in case of food management. Providing a remote control for home appliances extends the everyday usage of these devices. In addition to the remote control device, some manufacturers use additional modules such as internal cameras and hands-free speaker for convenient control of an appliance. All these devices are able to communicate with each other to reach common goals. The home appliance producer Liebherr in cooperation with technology company Microsoft developed a solution for remote control of refrigeration with possibility of food recognition using Machine Learning algorithms. This option enables automatic compiling of the list of food stored in the fridge and food ordering in an online shop without manual actions. This opportunity enables not only a convenient usage of an appliance but also allows reduction of electricity consumption because user does not open fridge doors frequently as far as he knows a list of food in refrigerator. In this paper we describe SmartDevice technology from Liebherr that was developed for adding smart features to the brand products. In particular, we review main business processes of SmartDevice, discuss advantages and disadvantages of this solution for the end customers and identify future research for creating smart fridges.
This volume presents new results in the study and optimization of information transmission models in telecommunication networks using different approaches, mainly based on theiries of queueing systems and queueing networks .
The paper provides a number of proposed draft operational guidelines for technology measurement and includes a number of tentative technology definitions to be used for statistical purposes, principles for identification and classification of potentially growing technology areas, suggestions on the survey strategies and indicators. These are the key components of an internationally harmonized framework for collecting and interpreting technology data that would need to be further developed through a broader consultation process. A summary of definitions of technology already available in OECD manuals and the stocktaking results are provided in the Annex section.