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Because of the feature sparseness problem, conventional text classification methods hardly achieve a good effect on short texts. This paper presents a novel feature extension method based on the TNG model to solve this problem. This algorithm can infers not only the unigram words distribution but also the phrases distribution on each topic. We can build a feature extension library using TNG algorithm...
Concerns about energy efficiency and carbon footprints are becoming more significant in the power industry and public policy, as evidenced by the concerted shift to renewable energy sources and energy conservation paradigms. One of the largest consumers of energy in the US is the residential and commercial buildings sector. This paper explores a conceptual framework of a cyber-physical system (CPS)...
Aligned towards net zero energy building goals, building energy management systems will consider energy utilization efficiency improvement, energy cost reduction and renewable energy technology utilization to serve the local energy loads in building structures with dispersed resources. The distributed management of building energy system in this paper describes a semi-centralized decision making methodology...
We propose an approach that parses registered images captured at ground level into architectural units for large-scale city modeling. Each parsed unit has a regularized shape, which can be used for further modeling purposes. In our approach, we first parse the environment into buildings, the ground, and the sky using a joint 2D-3D segmentation method. Then, we partition buildings into individual façades...
System-on-Chip is comprehensively applied in the image and signal processing field. With higher demands of customers and increasing complexity of System-on-Chip, System-on-Chip system level design issues become more critical. Hardware/software partitioning is an important step in the system level design. Application feature analysis and early design decision for hardware/software partitioning become...
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