Autor: M, Surya - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: A Survey on Big Data and Internet of Things
Autorzy:: Ragothaman, Bhuvaneswari
Prabha, M. Surya
Jose, Elsa
Sarojini, B.
Powiązania:: https://bibliotekanauki.pl/articles/1193562.pdf
Data publikacji:: 2016
Wydawca:: Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:: Big Data
Cloud
Hadoop
IoT
technologies
Opis:: In the internet the content of data are very large in size and in various structures, which are heterogeneous by nature. This is said to be Big Data. The data which satisfies the conditions of Big Data are similar to the IoT. So it can be said that Big Data and IoT are two sides of the same coin. For IoT the data can be shared using Cloud which acts as the transmission medium, and Big Data is a part of Cloud. Processing and deriving data from IoT is one of the biggest challenge and some special analytics are being used. The extracting and managing of the Big Data generated by the IoT is done by the Big Data technologies like Hadoop. There are various technologies and protocols are being used in the communication between the devices of IoT.
Źródło:: World Scientific News; 2016, 41; 159-164
2392-2192
Pojawia się w:: World Scientific News
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Audio Compression using a Modified Vector Quantization algorithm for Mastering Applications
Autorzy:: Prince, Shajin
D, Bini
Kirubaraj, Alfred A.
Immanuel, Samson J.
M, Surya
Powiązania:: https://bibliotekanauki.pl/articles/27311916.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:: vector quantization
scalable
perceptual coder
audio mastering
bit stream
Opis:: Audio data compression is used to reduce the transmission bandwidth and storage requirements of audio data. It is the second stage in the audio mastering process with audio equalization being the first stage. Compression algorithms such as BSAC, MP3 and AAC are used as standards in this paper. The challenge faced in audio compression is compressing the signal at low bit rates. The previous algorithms which work well at low bit rates cannot be dominant at higher bit rates and vice-versa. This paper proposes an altered form of vector quantization algorithm which produces a scalable bit stream which has a number of fine layers of audio fidelity. This modified form of the vector quantization algorithm is used to generate a perceptually audio coder which is scalable and uses the quantization and encoding stages which are responsible for the psychoacoustic and arithmetical terminations that are actually detached as practically all the data detached during the prediction phases at the encoder side is supplemented towards the audio signal at decoder stage. Therefore, clearly the quantization phase which is modified to produce a bit stream which is scalable. This modified algorithm works well at both lower and higher bit rates. Subjective evaluations were done by audio professionals using the MUSHRA test and the mean normalized scores at various bit rates was noted and compared with the previous algorithms.
Źródło:: International Journal of Electronics and Telecommunications; 2023, 69, 2; 287--292
2300-1933
Pojawia się w:: International Journal of Electronics and Telecommunications
Dostawca treści:: Biblioteka Nauki

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