4,011 research outputs found
Child labour: the case study in Bangladesh
Child labour involves of person that age below than 17 years old. Child labour often happen in poor countries such as Bangladesh. In Bangladesh, the issue of child labour might be the biggest issue. Bangladesh come up with Bangladesh Labour Act (BLA) that did not allow any person age below from fourteen years old to work (Nawshin et al, 2019). One of the aim or purpose of this act is to prevent teen workers in order to get the proper payment of any work. This is because when organization use child labour, they might be paid at lower rate because children usually do not have much responsible in their family compared to teen workers. This indirectly cause an economic matter in a family
Semantic Compression of Episodic Memories
Storing knowledge of an agent's environment in the form of a probabilistic
generative model has been established as a crucial ingredient in a multitude of
cognitive tasks. Perception has been formalised as probabilistic inference over
the state of latent variables, whereas in decision making the model of the
environment is used to predict likely consequences of actions. Such generative
models have earlier been proposed to underlie semantic memory but it remained
unclear if this model also underlies the efficient storage of experiences in
episodic memory. We formalise the compression of episodes in the normative
framework of information theory and argue that semantic memory provides the
distortion function for compression of experiences. Recent advances and
insights from machine learning allow us to approximate semantic compression in
naturalistic domains and contrast the resulting deviations in compressed
episodes with memory errors observed in the experimental literature on human
memory.Comment: CogSci201
Compression of spectral meteorological imagery
Data compression is essential to current low-earth-orbit spectral sensors with global coverage, e.g., meteorological sensors. Such sensors routinely produce in excess of 30 Gb of data per orbit (over 4 Mb/s for about 110 min) while typically limited to less than 10 Gb of downlink capacity per orbit (15 minutes at 10 Mb/s). Astro-Space Division develops spaceborne compression systems for compression ratios from as little as three to as much as twenty-to-one for high-fidelity reconstructions. Current hardware production and development at Astro-Space Division focuses on discrete cosine transform (DCT) systems implemented with the GE PFFT chip, a 32x32 2D-DCT engine. Spectral relations in the data are exploited through block mean extraction followed by orthonormal transformation. The transformation produces blocks with spatial correlation that are suitable for further compression with any block-oriented spatial compression system, e.g., Astro-Space Division's Laplacian modeler and analytic encoder of DCT coefficients
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