21 papers · ranked by Valyu relevance
Yang Han, Guangjun Qin, Yongqing Hu
In data storage and transmission, file compression is a common technique for reducing the volume of data, reducing data storage space and transmission time and bandwidth. However, there are significant differences in the compression performance of different types of file formats, and the benefits vary. In this paper…
Alice Tor, Yuxin Wu, Stephen E Clarke, Lisa Yamada + 2 more
The complexity of neural data changes as the brain processes information during events. Universal lossless compression algorithms, which are broadly applicable and grounded in information theory, identify and exploit redundancies in data in order to compress it to essentially-optimal sizes regardless of underlying…
Alessio P. Buccino, Olivier Winter, David Bryant, David Feng + 2 more
With the rapid adoption of high-density electrode arrays for recording neural activity, electrophysiology data volumes within labs and across the field are growing at unprecedented rates. For example, a one-hour recording with a 384-channel Neuropixels probe generates over 80 GB of raw data. These large data volumes…
André Ribeiro, Rúben Garrido, Violeta Ramos, António Alberto + 27 more
Lossless data compression remains central to computer science, with direct impact on storage, communication bandwidth, computational cost, and energy consumption. It is also closely related to Algorithmic Information Theory, where compressibility provides an operational measure of structure and non-randomness. This…
Mohammed Hlayel, Hairulnizam Mahdin, Mohammad Hayajneh, Saleh H. AlDaajeh + 3 more
'Saleh H. AlDaajeh' 'Siti Salwani Yaacob' 'Mazidah Mat Rejab' 'Shahid Rahman'] The rapid development of Digital Twin (DT) technology has underlined challenges in resource-constrained mobile devices, especially in the application of extended realities (XR), which includes Augmented Reality (AR) and Virtual Reality (VR).…
Senik Matinyan, Jan Pieter Abrahams
High-throughput data collection in crystallography poses significant challenges in handling massive amounts of data. Here, we present TERSE, a novel lossless compression algorithm specifically designed for diffraction data. We compare TERSE with the established lossless compression algorithms implemented in gzip, CBF…
Fatemeh Kamali, Amir Abolfazl Suratgar, Mohammadbagher Menhaj, Reza Abbasi-Asl
Voxelwise encoding models based on convolutional neural networks (CNNs) have emerged as state-of-the-art predictive models of brain activity evoked by natural movies. Despite their superior predictive performance, the huge number of parameters in CNN-based models have made them difficult to interpret. Here, we…
Mohammad Hosseini
—Today, with the growing demands of information storage and data transfer, data compression is becoming increasingly important. Data Compression is a technique which is used to decrease the size of data. This is very useful when some huge files have to be transferred over networks or being stored on a data storage…
Beniamin Stecuła, Kinga Stecuła, Adrian Kapczyński, Antonio Puliafito
'Antonio Puliafito'] The goal of the research was to study the possibility of using the planned language Esperanto for text compression, and to compare the results of the text compression in Esperanto with the compression in natural languages, represented by Polish and English. The authors performed text compression in…
Miaoshan Lu, Junjie Tong, Ruimin Wang, Shaowei An + 2 more
Mass spectrum (MS) data volumes increase with an improved ion acquisition ratio and a highly accurate mass spectrometer. However, the most widely used data format, mzML, does not take advantage of compression methods and improved read performances. Several compression algorithms have been proposed in recent years, and…
Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang + 21 more
'Zhaorui Zhang' 'Milan Shah' 'Yafan Huang' 'Jiajun Huang' 'Xiaodong Yu' 'Congrong Ren' 'Hanqi Guo' 'Grant Wilkins' 'Dingwen Tao' 'Jiannan Tian' 'Sian Jin' 'Zizhe Jian' 'Daoce Wang' 'Md Hasanur Rahman' 'Boyuan Zhang' 'Jon C. Calhoun' 'Guanpeng Li' 'Kazutomo Yoshii' 'Khalid Ayed Alharthi' 'Franck Cappello'] SHENG DI…
Muhammad Usama, Nordin Zakaria, Houbing Song
Data compression and encryption are key components of commonly deployed platforms such as Hadoop. Numerous data compression and encryption tools are presently available on such platforms and the tools are characteristically applied in sequence, i.e., compression followed by encryption or encryption followed by…
Gaurav Vijayvargiya, Sanjay Silakari, Rajeev Pandey
—This paper addresses about various image compression techniques. On the basis of analyzing the various image compression techniques this paper presents a survey of existing research papers. In this paper we analyze different types of existing method of image compression. Compression of an image is significantly…
Huajun Bai, Liang Wen, Yunfei Ma, Xisheng Jia + 1 more
It is critical to deploy wireless data transmission technologies remotely, in real-time, to monitor the health state of diesel engines dynamically. The usual approach to data compression is to collect data first, then compress it; however, we cannot ensure the correctness and efficiency of the data. Based on sparse…
Vasileios Alevizos, Nikitas Gerolimos, Sabrina Edralin, C. J. Xu + 4 more
'Akebu Simasiku' 'Georgios Priniotakis' 'George A. Papakostas' 'Zongliang Yue'] Abstract—One requirement of maintaining digital information is storage. With the latest advances in the digital world, new emerging media types have required even more storage space to be kept than before. In fact, in many cases it is…
Anders Andreasen, Maria Bonto, Fernando Montero
– This paper presents a framework for optimisation and techno-economic analysis of various pressurisation pathways for CO2 pipeline transportation. The pressurisation pathways include a conventional compression only case from initial to final pressure, a sub-critical compression part followed by cooling, liquefaction…
M Baritha Begum, N. Deepa, Mueen Uddin, Rajesh Kaluri + 2 more
'Maha Abdelhaq' 'Raed Alsaqour'] Data stored on physical storage devices and transmitted over communication channels often have a lot of redundant information, which can be reduced through compression techniques to conserve space and reduce the time it takes to transmit the data. The need for adequate security…
Anas Al-okaily, Abdelghani Tbakhi
Data compression is a challenging and increasingly important problem. As the amount of data generated daily continues to increase, efficient transmission and storage has never been more critical. In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated…
Felix Zeller, Chieh-Min Hsieh, Wilke Dononelli, Tim Neudecker
The field of liquid-phase and solid-state high-pressure chemistry has exploded since the advent of the diamond anvil cell, an experimental technique that allows the application of pressures up to several hundred gigapascal. To complement high-pressure experiments, a large number of computational tools have been…
Authors not listed
Cost effective and reliable hydrogen compression remains a challenging barrier in the wide-spread adoption of hydrogen as an energy carrier. The prevailing technology of mechanical compression suffers from several drawbacks, some of which can be addressed by non-mechanical compression strategies (e.g., electrochemical…
Rashen Lou Omongos, Diego Galvez-Aranda, Franco Zanotto, Andras Vernes + 1 more
The gas diffusion layer (GDL) is a vital component within PEMFCs, playing a crucial role in mass and heat transport. Enhancing the microstructure of the GDL directly improves transport properties, thereby leading to more efficient and durable PEMFCs. In this study, we developed a novel machine learning methodology to…