We propose an efficient real-time method for markerless 3D human motion capture that requires a single computer. Using input from at least three calibrated webcams, an extended ”Shape from Silhouette” algorithm reconstructs the filmed person in real-time. Fasts 3D shape and 3D skin parts analysis provide a robust and real-time system for human full-body tracking. Animation skeleton and simple m...

We present the conceptual design of a collective control scheme for appliances within a smart home. Based on the relevant energy acquisition procedures, three appliance groups are defined, modeled, and completed with an energy storage as well as a generator using renewable sources. At the following stage, a mixed quadratic optimization problem is presented, with the solution consisting in a tim...

This paper describes the smart energy monitoring system with a wireless sensor network for monitoring of electrical usage in smart house. Proposed system is composed of wireless plugs and energy control wallpad server. The wireless plug integrates an AC power socket, a relay to switch the socket ON/OFF, a Hall effect sensor to sense current of load appliance and a Kmote. The Kmote is a wireless...

Ozone is one of the favorable oxidant to use in home appliance and industry as disinfectant for food processing, food storage, odor abatement, groundwater remediation, and drinking water purification. The common and previous technical method for generating ozone uses a high voltage and low frequency. This kind of method has disadvantage of energy efficiency, size and weight. This paper proposed...

The term peer-to-peer refers to the concept that in a network of equals (peers) using appropriate information and communication systems, two or more individuals are able to spontaneously collaborate without centralized coordination. A Network Appliance is defined as a dedicated function consumer device with an embedded processor and a network connection. Security for distributed peer-to-peer de...

Nonintrusive load monitoring (NILM) is a problem of identifying operating appliances and estimating their energy consumptions based on whole home electric signals. Machine learning concepts and methods have been gradually applied to tackle NILM. A key factor of enabling and advancing machine learning methods in any problem is the availability of proper databases. The Reference Energy Disaggrega...

In the conventional home network systems (HNS), a powerful centralized server controls all electric home appliances connected to provide value-added integrated services. However, when the number of the appliances increases and the appliances become more sophisticated, the conventional architecture would suffer from problems in superfluous resources, flexibility, scalability and reliability. Thi...

One of the most dynamic branches of educational systems is linked with e-learning. In engineering, experiments play an important role in the learning process and, in general, impose student’s presence in laboratory in order to allow them to interact directly with instruments and objects under test. The paper presents some practical examples on how is possible to replace the traditional laborato...

The relationship between domestic demand and exports has remained the focus of academic world for a long time. A large body research confirmed promotion effect international trade on demand. This study uses difference-in-difference (DID) model to estimate instrumental variables. In addition, we have discussed that China’s “Home Appliances Countryside” policy as an variable it affects through tw...