24 papers · ranked by Valyu relevance
Nastaran Hajinazar
There is an explosive growth in the size of the input and/or intermediate data used and generated by modern and emerging applications. Unfortunately, modern computing systems are not capable of handling large amounts of data efficiently. Major concepts and components (e.g., the virtual memory system) and predominant…
Lin Cai, Xuzhong Qu, Hang Zhou, Ning Li + 8 more
High-resolution large-volume biological imaging techniques are now widely used in biological research, but inefficiencies in data processing and visualization persist due to bottlenecks in loading/saving pipelines and limitations of conventional pyramid formats. To address these issues, we have decoupled data loading…
Nawsher Khan, Ibrar Yaqoob, Ibrahim Abaker Targio Hashem, Zakira Inayat + 4 more
'Zakira Inayat' 'Waleed Kamaleldin Mahmoud Ali' 'Muhammad Alam' 'Muhammad Shiraz' 'Abdullah Gani'] Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range. Currently, over 2…
HyungJune Lee, HyunSeok Kim, Ik Joon Chang
We propose a technique to optimize the energy efficiency of data collection in sensor networks by exploiting a selective data compression. To achieve such an aim, we need to make optimal decisions regarding two aspects: (1) which sensor nodes should execute compression; and (2) which compression algorithm should be…
Partha Pratim Ray
Information Technology (IT) significantly impacts the environment throughout its life cycle. Most enterprises have not paid enough attention to this until recently. IT's environmental impact can be significantly reduced by behavioral changes, as well as technology changes. Given the relative energy and materials…
Shofinurdin Soffan, Arif Bramantoro, Ahmad A. Alzahrani, Stefano Cirillo
'Stefano Cirillo'] The Tax Service Office, a division of the Directorate General of Taxes, is responsible for providing taxation services to the public and collecting taxes. Achieving tax targets efficiently while utilizing available resources is crucial. To assess the performance efficiency of decision-making units…
Zhirong Xu, Tianlei Hu, Qianshu Song, Davide Brunelli
Wireless sensor network-based (WSN-based) applications need an efficient and reliable data dissemination service to facilitate maintenance, management and data distribution tasks. As WSNs nowadays are becoming pervasive and data intensive, bulk data dissemination protocols have been extensively studied recently. This…
Fajia Sun, Long Qian
DNA has been pursued as a compelling medium for digital data storage during the past decade. While large-scale data storage and random access have been achieved in artificial DNA, the synthesis cost keeps hindering DNA data storage from popularizing into daily life. In this study, we proposed a more efficient paradigm…
Ayush Rastogi, Harsh Rastogi, Yash Rastogi, Divyansh Dubey
and Security in Wireless Sensor Networks: A Comprehensive Analysis and Evaluation Authors: ['Ayush Rastogi' 'Harsh Rastogi' 'Yash Rastogi' 'Divyansh Dubey'] Abstract—In this paper, we present a multidimensional, highly effective method for aggregating data for wireless sensor networks while maintaining privacy. The…
Muhammad Shaukat, Waleed Alasmary, Eisa Alanazi, Junaid Shuja + 3 more
Fault tolerance, performance, and throughput have been major areas of research and development since the evolution of large-scale networks. Internet-based applications are rapidly growing, including large-scale computations, search engines, high-definition video streaming, e-commerce, and video on demand. In recent…
Justin Gould
Data Science has been a growing field since the 2010s. Between self-driving cars, movie and music recommendations, routing algorithms, and much more, both private companies and universities are making major investments in the field. As the field continues to mature, and we collect more data, the demand to store and…
Chenyang Wang, Di Wei, Zheng Wei, Dongxin Yang + 25 more
In the face of exponential data growth, DNA-based storage offers a promising solution for preserving big-data. However, most existing DNA storage methods, akin to traditional block printing, require costly chemical synthesis for each individual data file, adopting a sequential, one-time-use synthesis approach. To…
Jirui Jin, Somayeh Faraji, Bin Liu, Mingjie Liu
Perovskite materials, renowned for their versatility and remarkable properties, pose challenges in discovering optimal candidates due to the vast compositional space. Data-driven machine learning (ML) offers promise in expediting material discovery; however, the trade-off between accuracy and efficiency across…
Jiujing Zhang, Zhitao Shen, Shiyu Yang, Lingkai Meng + 6 more
'Jia Wang' 'Yue Li' 'Qinhui Sun' 'Wenjie Zhang' 'Xuemin Lin'] JIUJING ZHANG∗ , Guangzhou University & University of New South Wales, China & Australia ZHITAO SHEN, Ant Group, China SHIYU YANG† , Guangzhou University, China LINGKAI MENG, Ant Group & Antai College of Economics and Management, Shanghai Jiao Tong…
Jihwan Lee, Nam-Wook Cho, Francesco Pappalardo
As one of data mining techniques, outlier detection aims to discover outlying observations that deviate substantially from the reminder of the data. Recently, the Local Outlier Factor (LOF) algorithm has been successfully applied to outlier detection. However, due to the computational complexity of the LOF algorithm…
Authors not listed
As a prove of concept for experimental geochemistry, an advanced 3D numerical framework, here and after called Digital Twin (DT), of a diffusion experiment conducted at a synchrotron beamline, has been implemented using in-situ measurements data, physics-based modelling, a machine learning (ML) model, and parameter…
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…
Meng Jia, Troy Sorensen, Dorit Hammerling
We propose a generic, modular framework to optimize the placement of continuous monitoring sensors on oil and gas sites aiming to maximize the methane emissions detection efficiency. Our proposed framework substantially expands the problem scale compared to previous related studies and can be adapted for different…
Thomas D. Schneider
Unlike the Carnot heat engine efficiency published in 1824, an isothermal efficiency derived from thermodynamics and information theory can be applied to biological systems. The original approach by Pierce and Cutler in 1959 to derive the isothermal efficiency equation came from Shannon’s channel capacity of 1949 and…
Felix Kaspar
The term efficient has gained great popularity in the chemical literature, despite the lack of an applicable and relatable definition. In this perspective, a chemical definition of efficiency is discussed building on the concept of non-wasteful resource usage. It is proposed than an efficient method, synthesis or…
Yaniv Erlich, Dina Zielinski
Humanity produces data at exponential rates, creating a growing demand for better storage devices. DNA molecules are an attractive medium to store digital information due to their durability and high information density. Recent studies have made large strides in developing DNA storage schemes by exploiting the advent…
Authors not listed
The global drive towards net-zero has accelerated the adoption of carbon fibre reinforced polymers (CFRP) for lightweight structures in various sectors such as aerospace, automotive, energy and biomedical. Mechanical machining of CFRP is often necessary to meet dimensional or assembly-related requirements. However…
Sterling Baird, Jason R. Hall, Taylor D. Sparks
Would you rather search for a line inside a cube or a point inside a square? Physics-based simulations and wet-lab experiments often have symmetries (degeneracies) that allow reducing problem dimensionality or search space, but constraining these degeneracies is often unsupported or difficult to implement in many…
Yalin Li, John Trimmer, Steven Hand, Xinyi Zhang + 6 more
The pursuit of sustainability has catalyzed broad investment in the research, development, and deployment (RD&D) of innovative water, sanitation, and resource recovery technologies, yet the lack of transparent and agile methodologies to navigate the expansive landscape of technology development pathways remains a…