Multistep Human Density Prediction (MHDP) is an emerging challenge in urban mobility with lots of applications several domains such as Smart Cities, Edge Computing and Epidemiology Modeling. The basic goal to estimate the density people gathered a set Regions Interests (ROIs) or Points (POIs) forecast horizon different granularities. Accordingly, this paper aims contribute go beyond existing li...

The development of practical Arabic syntax based on mE-Book teaching materials is regarding printed that are less effectively applied in online learning. This research and (RD) aimed at developing for more effective learning without limited space time using the ADDIE design model. It was carried out through 5 stages: analysis, design, development, implementation, evaluation. implementation phas...

Error-correcting codes are present in basically all modern data communications and data storage systems. When top-performance is required, the corresponding algorithms (encoder + decoder) are implemented in hardware. This paper describes a VLSI implementation for an information-set-based error correcting decoder. More specifically, we present the modified Gauss-Jordan elimination block, which c...

In regards to turbo codes, to the author's knowledge, previous literature has treated decoder assisted frame synchronization and channel estimation as separate processes. Here a joint decoder assisted process of channel estimation and frame synchronization is proposed. In brief, the method entails using a sync word (SW) embedded mid-packet for both channel estimation and frame synchronization. ...

-This paper proposed a generic data packing scheme for quasi-cyclic LDPC codes decoder which has two advantages. Firstly, in this scheme no shift network is needed, it greatly reduces the area of the LDPC decoder. Secondly, in this scheme, all the messages in a row can be accessed from memories in one cycle, it increase the throughput of LDPC decoder. A LDPC decoder architecture using the data ...

An encoder-decoder architecture with recurrent neural networks in both the encoder and decoder is a standard approach to the question-answering problem (finding answers to a given question in a piece of text). The Dynamic Coattention[1] encoder is a highly effective encoder for the problem; we evaluated the effectiveness of different decoder when paired with the Dynamic Coattention encoder. We ...