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Journal articles on the topic 'Data processing processors'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Jain. S, Poonam, Pooja S, Sripath Roy. K, Abhilash K, and Arvind B V. "Implementation of asymmetric processing on multi core processors to implement IOT applications on GNU/Linux framework." International Journal of Engineering & Technology 7, no. 2.7 (2018): 710. http://dx.doi.org/10.14419/ijet.v7i2.7.10928.

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Internet of Things brought in a bigger computing challenges where there came a need for running tasks in a multi-sensor and large data processing is involved. In order to implement this requirement multiprocessors are being used for implementation of IoT Gateways. There comes a need for specific tasks having a resource dedicated for its job. To fulfill this we face a hurdle in choosing dedicated processor or shared processor in a Symmetric Processing Architecture. Dedicated processor are the one in which all the tasks are being processed on a single core where as in fair share processors speci

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Kamna, nayak, and Patra K.Pitambar. "Study of High Speed 32-Bit Data Processing Using CSLA." Association for International Journal in Computer Science & Electronics 4, no. 3 (2015): 1–9. https://doi.org/10.5281/zenodo.33244.

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Modern applications demand extremely low power and fast speed in computer architectures for battery-operated devices like Laptop and others. In this work, the main focus is on the low power consumption and provides high speed to the processors. Low-power and high speed circuits are becoming more desirable due to growing portable device markets and they are also becoming more applicable today in processors. The selection behind the carry select adder is that it is very much efficient in terms of delay. The main focus in this work is to improve the speed of the 32-bit processor and in this case

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3

Plantin, Jean-Christophe. "The data archive as factory: Alienation and resistance of data processors." Big Data & Society 8, no. 1 (2021): 205395172110075. http://dx.doi.org/10.1177/20539517211007510.

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Archival data processing consists of cleaning and formatting data between the moment a dataset is deposited and its publication on the archive’s website. In this article, I approach data processing by combining scholarship on invisible labor in knowledge infrastructures with a Marxian framework and show the relevance of considering data processing as factory labor. Using this perspective to analyze ethnographic data collected during a six-month participatory observation at a U.S. data archive, I generate a taxonomy of the forms of alienation that data processing generates, but also the types o

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Molyakov, Andrey. "Main Scientific and Technological Problems in the Field of Architectural Solutions for Supercomputers." Computer and Information Science 13, no. 3 (2020): 89. http://dx.doi.org/10.5539/cis.v13n3p89.

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In this paper author describes creation of a domestic accelerator processor capable of replacing NVIDIA GPGPU graphics processors for solving scientific and technical problems and other tasks requiring high performance, but which are characterized by good or medium localization of the processed data. Moreover, this paper illustrates creation of a domestic processor or processors for solving the problems of creating information systems for processing big data, as well as tasks of artificial intelligence (deep learning, graph processing and others). Therefore, these processors are characterized

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Suh, Ilhyun, and Yon Dohn Chung. "A Workload Assignment Strategy for Efficient ROLAP Data Cube Computation in Distributed Systems." International Journal of Data Warehousing and Mining 12, no. 3 (2016): 51–71. http://dx.doi.org/10.4018/ijdwm.2016070104.

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Data cube plays a key role in the analysis of multidimensional data. Nowadays, the explosive growth of multidimensional data has made distributed solutions important for data cube computation. Among the architectures for distributed processing, the shared-nothing architecture is known to have the best scalability. However, frequent and massive network communication among the processors can be a performance bottleneck in shared-nothing distributed processing. Therefore, suppressing the amount of data transmission among the processors can be an effective strategy for improving overall performanc

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Anza, Sofía, and Josemaría Motta. "Data Processors’ Liability from a Uruguayan Data Protection Perspective." Global Privacy Law Review 2, Issue 2 (2021): 155–61. http://dx.doi.org/10.54648/gplr2021020.

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Since the processing of personal data has become global, and the presence of data processors has been increasing over time, it is of paramount importance to analyse how responsibilities are allocated among data controllers and data processors. Therefore, the aim of this article is to analyse how responsibilities and obligations of data controllers and data processors established in Uruguay – or abroad but subject to Uruguayan Data Protection Regulations due to their extraterritorial effect – are distributed and why this matter should be regulated in further detail. Uruguay, Liability, Responsi

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Aravindsundeep Musunuri, (Dr.) Punit Goel, and A Renuka. "Innovations in Multicore Network Processor Design for Enhanced Performance." Innovative Research Thoughts 9, no. 3 (2023): 177–90. http://dx.doi.org/10.36676/irt.v9.i3.1460.

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The rapid expansion of network traffic, driven by the proliferation of internet-connected devices and the growing demand for high-speed data transmission, has intensified the need for advanced network processing capabilities. Multicore network processors have emerged as a pivotal solution to address these challenges, offering significant enhancements in performance, scalability, and efficiency. This paper explores the innovations in multicore network processor design, focusing on the architectural advancements and optimization techniques that have been instrumental in elevating their performan

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Santos, Paulo Cesar, Francis Birck Moreira, Aline Santana Cordeiro, et al. "Survey on Near-Data Processing: Applications and Architectures." Journal of Integrated Circuits and Systems 16, no. 2 (2021): 1–17. http://dx.doi.org/10.29292/jics.v16i2.502.

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One of the main challenges for modern processors is the data transfer between processor and memory. Such data movement implies high latency and high energy consumption. In this context, Near-Data Processing (NDP) proposals have started to gain acceptance as an accelerator device. Such proposals alleviate the memory bottleneck by moving instructions to data whereabouts. The first proposals date back to the 1990s, but it was only in the 2010s that we could observe an increase in papers addressing NDP. It occurred together with the appearance of 3D-stacked chips with logic and memory stacked laye

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Martyniuk, T. B., N. O. Denysiuk, and B. I. Krukivskyi. "ASSOCIATIVE PROCESSORS WITH PARALLEL-SERIAL DATA PROCESSING." Information Technology and Computer Engineering 44, no. 1 (2019): 27–36. http://dx.doi.org/10.31649/1999-9941-2019-44-1-27-36.

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Emmanuel Patrick Adejo, Haruna Ibrahim, Gbenga Opeyemi, Anthony Negedu, and Bengamin Osigbodi Oyewole. "Analysis of the profitability of oil palm processing techniques in Kogi State, Nigeria." World Journal of Advanced Research and Reviews 20, no. 2 (2023): 990–99. http://dx.doi.org/10.30574/wjarr.2023.20.2.2319.

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The processing of palm fruit is one of the most prominent agricultural processing activities carried out in Nigeria. This paper ascertained the extent of oil palm processing profitability across the different categories of processors in Kogi State, Nigeria. The study estimate cost and returns of the processing enterprises; determined the profitability of the processing enterprises; and examined the determinants of the returns from the processing activities in the study area. A multistage sampling technique was used to select 80 oil palm processors comprising of 15 manual processors, 55 semi-me

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Emmanuel, Patrick Adejo, Ibrahim Haruna, Opeyemi Gbenga, Negedu Anthony, and Osigbodi Oyewole Bengamin. "Analysis of the profitability of oil palm processing techniques in Kogi State, Nigeria." World Journal of Advanced Research and Reviews 20, no. 2 (2023): 990–99. https://doi.org/10.5281/zenodo.12599178.

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The processing of palm fruit is one of the most prominent agricultural processing activities carried out in Nigeria. This paper ascertained the extent of oil palm processing profitability across the different categories of processors in Kogi State, Nigeria. The study estimate cost and returns of the processing enterprises; determined the profitability of the processing enterprises; and examined the determinants of the returns from the processing activities in the study area. A multistage sampling technique was used to select 80 oil palm processors comprising of 15 manual processors, 55 semi-me

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Barnard, Richard C., Kai Huang, and Cory Hauck. "A mathematical model of asynchronous data flow in parallel computers*." IMA Journal of Applied Mathematics 85, no. 6 (2020): 865–91. http://dx.doi.org/10.1093/imamat/hxaa031.

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Abstract We present a simplified model of data flow on processors in a high-performance computing framework involving computations necessitating inter-processor communications. From this ordinary differential model, we take its asymptotic limit, resulting in a model which treats the computer as a continuum of processors and data flow as an Eulerian fluid governed by a conservation law. We derive a Hamilton–Jacobi equation associated with this conservation law for which the existence and uniqueness of solutions can be proven. We then present the results of numerical experiments for both discret

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Hartmann Tolić, Ivana, Snježana Rimac-Drlje, and Željko Hocenski. "EFFICIENT APPLICATIONS AND ARCHITECTURE OF MODERN DIGITAL SIGNAL PROCESSORS." Journal of Energy Technology 10, no. 2 (2024): 35–50. https://doi.org/10.18690/jet.10.2.35-50.2017.

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Digital signal processors have found their roles in various fields of science and technology. With the appearance of problems related to the processing of large quantities of data in real time, it was nec-essary to develop a system that would execute procedures very rapidly and at low cost. The most common application in real time is the digitization and mathematical processing of audio, video, tem-perature, and voltage data, etc., resolved using parallel operations. Various producers of digital signal processors have developed processors and evaluation models that enable developers to quickly

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Plantin, Jean-Christophe. "Data Cleaners for Pristine Datasets: Visibility and Invisibility of Data Processors in Social Science." Science, Technology, & Human Values 44, no. 1 (2018): 52–73. http://dx.doi.org/10.1177/0162243918781268.

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This article investigates the work of processors who curate and “clean” the data sets that researchers submit to data archives for archiving and further dissemination. Based on ethnographic fieldwork conducted at the data processing unit of a major US social science data archive, I investigate how these data processors work, under which status, and how they contribute to data sharing. This article presents two main results. First, it contributes to the study of invisible technicians in science by showing that the same procedures can make technical work invisible outside and visible inside the

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Storch, T., and R. Müller. "PROCESSING CHAINS FOR DESIS AND ENMAP IMAGING SPECTROSCOPY DATA: SIMILARITIES AND DIFFERENCES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W3 (October 20, 2017): 177–80. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w3-177-2017.

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The Earth Observation Center (EOC) of the German Aerospace Center (DLR) realizes operational processors for DESIS (DLR Earth Sensing Imaging Spectrometer) and EnMAP (Environmental Mapping and Analysis Program) high-resolution imaging spectroscopy remote sensing satellite missions. DESIS is planned to be launched in 2018 and EnMAP in 2020. The developmental (namely schedule, deployment, and team) and functional (namely processing levels, algorithms in processors, and archiving approaches) similarities and differences of the fully-automatic processors are analyzed. The processing chains generate

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RAKHIMOV, BAKHTIYAR SAIDOVICH, TUPAJON ALIMOVNA JUMANIYAZOVA, ASAL AKBAROVNA ALLAYAROVA, and ZARINA BAKHTIYAR QIZI SAIDOVA. "MODELING NEW GRAPHICS PROCESSORS PROCESSING FUNCTIONAL PROBLEMS." International journal of advanced research in education, technology and management 2, no. 5 (2023): 124–30. https://doi.org/10.5281/zenodo.7923062.

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The main function of graphics processors since their inception has been graphics processing. Subsequently, after it became possible to program the processing of model vertices and pixels of rendered three-dimensional scenes using special programs (shaders), the architecture of graphic processors changed significantly. After the advent of the first general-purpose programmable graphics processors (G80 architecture from NVIDIA, R600 architecture from ATI), it became possible to process commands not only for graphic data in vector form, but also to perform ordinary calculations for arbitrary data

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Yantır, Hasan Erdem, Ahmed M. Eltawil, and Khaled N. Salama. "Efficient Acceleration of Stencil Applications through In-Memory Computing." Micromachines 11, no. 6 (2020): 622. http://dx.doi.org/10.3390/mi11060622.

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The traditional computer architectures severely suffer from the bottleneck between the processing elements and memory that is the biggest barrier in front of their scalability. Nevertheless, the amount of data that applications need to process is increasing rapidly, especially after the era of big data and artificial intelligence. This fact forces new constraints in computer architecture design towards more data-centric principles. Therefore, new paradigms such as in-memory and near-memory processors have begun to emerge to counteract the memory bottleneck by bringing memory closer to computat

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18

He, Ji Yong, and Xiang Guang Chen. "Design of PowerPC-Based Radar Universal Signal Processing Unit." Advanced Materials Research 760-762 (September 2013): 1360–63. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1360.

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With the rapid development of radar system, it has put forward higher requirements in the ability of real-time signal processing, the capability of data processing and the versatility of signal processing platforms. The signal processing unit based on PowerPC processor MPC8640D can complete the calculation of complex data using the superior performance of the processor. The combination of embedded operating system VxWorks can meet the real-time requirement of the radar signal processing perfectly. Universal IO interface definition of PowerPC processors make the designed signal processing unit

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T, Venkata Sridhar, and G. Chenchu Krishnaiah. "Communication Latency and Power Consumption Consequence in Multi-Core Architectures and Improvement Methods." International Journal of Electrical and Electronics Research 11, no. 1 (2023): 222–27. http://dx.doi.org/10.37391/ijeer.110130.

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The present electronics world has a lot of dependency on processing devices in the current and future developments. Even non-electronic industries have much data to process and are indirectly dependent on processors. The larger the number of processors incorporated into the architecture, will lower the data handling and processing time; thus, efficiency improves. Hence multi-core processors have become a regular part of the design of processing elements in the electronic industry. The large number of processors incorporated into the system architecture results in difficulty in communicating am

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Doraipandian, Manivannan, and Periasamy Neelamegam. "Wireless Sensor Network Using ARM Processors." International Journal of Embedded and Real-Time Communication Systems 4, no. 4 (2013): 48–59. http://dx.doi.org/10.4018/ijertcs.2013100103.

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The hardware design of Wireless Sensor Networks (WSN) is the crux of its effective deployment. Nowadays these networks are used in microscopic, secure and high-end embedded products. WSN's potentiality in terms of efficient data sensing and distributed data processing has led to its usage in applications for measurement and tracking. WSN comprises of small number of embedded devices known as sensor nodes, gateways and base stations. Sensor nodes consist of sensors, processors and transceivers. The property of embedded sensor devices, also called motes, is to determine the strength of WSN. Thus

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Porobaten, Erffelient ,., O. Esry H. Laoh, and Nordy F. L. Waney. "ANALISIS PENDAPATAN USAHA GULA AREN DI DUSUN KALATIN, KECAMATAN RATAHAN KABUPATEN MINAHASA TENGGARA." AGRI-SOSIOEKONOMI 13, no. 3A (2017): 39. http://dx.doi.org/10.35791/agrsosek.13.3a.2017.18015.

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This study aims to see how much income earned by farmers. This study was conducted from July to September 2017. The data used are primary data and secondary data. This research was conducted by direct interview technique with 18 (eighteen) respondents in this case palm sugar processor and also using written data in document form obtained from village head of North Lowu Village. The data obtained will be analyzed using descriptive analysis and will be presented in tabular form. Total acceptance of all palm sugar processors in Kalatin Hamlet, amounting to Rp.3.310.000 / day of the total revenue

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Cheng, Xin, and Hua Chun Wu. "High-Performance Real-Time Bus in Parallel Processing System." Applied Mechanics and Materials 278-280 (January 2013): 1043–46. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.1043.

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Rapid increases in the complexity of algorithms for real-time signal processing applications have made multi-processors parallel processing technology needed. This paper proposes a design of high-performance real-time bus (RTB), based on which distributed shared memory (DSM) mechanism is established to implement data exchange among multiple processors. Adopting DSM mechanism can reduce the software overhead and improve data processing performance significantly. Definition and implementation details of RTB and data transmission model are discussed. Experimental results show the stable data tran

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Panaite, Fabian Arun, and Monica Leba. "Hybrid Neural Network Training on Diverse Hardware." ENTRENOVA - ENTerprise REsearch InNOVAtion 10, no. 1 (2024): 280–88. https://doi.org/10.54820/entrenova-2024-0023.

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This study presents a comprehensive comparison of neural network training hardware structures, focusing on the performance of CPU and GPU processors under varying data storage conditions (SSD drive and RAM disk). Initially, the training efficiency and speed of neural networks are analysed using a CPU processor, with data stored first on an SSD drive and subsequently in a RAM disk to evaluate the impact of data retrieval speeds on training times and accuracy. The analysis is then extended to GPU processors, renowned for their superior parallel processing capabilities, under identical data stora

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DEHNE, FRANK, and HAMIDREZA ZABOLI. "PARALLEL CONSTRUCTION OF DATA CUBES ON MULTI-CORE MULTI-DISK PLATFORMS." Parallel Processing Letters 23, no. 01 (2013): 1350002. http://dx.doi.org/10.1142/s0129626413500023.

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On-line Analytical Processing (OLAP) has become one of the most powerful and prominent technologies for knowledge discovery in VLDB (Very Large Database) environments. Central to the OLAP paradigm is the data cube, a multi dimensional hierarchy of aggregate values that provides a rich analytical model for decision support. Various sequential algorithms for the efficient generation of the data cube have appeared in the literature. However, given the size of contemporary data warehousing repositories, multi-processor solutions are crucial for the massive computational demands of current and futu

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Bui, Phuc, Minh Le, Binh Hoang, Nguyen Ngoc, and Huong Pham. "Data Partitioning and Asynchronous Processing to Improve the Embedded Software Performance on Multicore Processors." Informatics and Automation 21, no. 2 (2022): 243–74. http://dx.doi.org/10.15622/ia.21.2.2.

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Nowadays, ensuring information security is extremely inevitable and urgent. We are also witnessing the strong development of embedded systems, IoT. As a result, research to ensure information security for embedded software is being focused. However, studies on optimizing embedded software on multi-core processors to ensure information security and increase the performance of embedded software have not received much attention. The paper proposes and develops the embedded software performance improvement method on multi-core processors based on data partitioning and asynchronous processing. Data

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TAN, KIAN-LEE, and HONGJUN LU. "ON PROCESSING MULTI-JOINS IN PARALLEL SYSTEMS." Parallel Processing Letters 01, no. 02 (1991): 157–64. http://dx.doi.org/10.1142/s0129626491000112.

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In parallel systems, a number of joins from one or more queries can be executed either serially or in parallel. While serial execution assigns all processors to execute each join one after another, parallel execution distributes the joins to clusters formed by certain numbers of processors and executes them concurrently. However, data skew may result in load imbalance among processors executing the same join and some clusters may be overloaded with more expensive joins. As a result, the completion time will be much longer than what is expected. In this paper, we propose an algorithm to further

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Xu, Jinjin. "Design of high-speed radar signal processor based on FPGA." Journal of Combinatorial Mathematics and Combinatorial Computing 125 (March 30, 2025): 93–107. https://doi.org/10.61091/jcmcc125-07.

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Radar ranging and speed measurement are common applications in daily life, with performance largely dependent on the radar signal processor. However, existing civilian radar signal processors struggle with weak signal reception and low analysis efficiency. This study designs a high-speed radar signal processor based on FPGA architecture, incorporating a fusion processing algorithm to integrate different radar signal bands, enhancing processing efficiency and accuracy. The design includes data feature analysis, storage, and fusion modules. Tests showed that the processor achieved real-time perf

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Gupta, Pranjal, Amine Mhedhbi, and Semih Salihoglu. "Columnar storage and list-based processing for graph database management systems." Proceedings of the VLDB Endowment 14, no. 11 (2021): 2491–504. http://dx.doi.org/10.14778/3476249.3476297.

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We revisit column-oriented storage and query processing techniques in the context of contemporary graph database management systems (GDBMSs). Similar to column-oriented RDBMSs, GDBMSs support read-heavy analytical workloads that however have fundamentally different data access patterns than traditional analytical workloads. We first derive a set of desiderata for optimizing storage and query processors of GDBMS based on their access patterns. We then present the design of columnar storage, compression, and query processing techniques based on these desiderata. In addition to showing direct int

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Onemolease, E. A., C. O. Ehilenboadiaye, and O. Omoregie. "Perception of the role of agricultural extension services by cassava processors in Edo State, Nigeria." ADAN Journal of Agriculture 2, no. 1 (2021): 70–81. http://dx.doi.org/10.36108/adanja/1202.20.0170.

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This study assessed cassava processors perception of the role of the agricultural extension service in cassava processing in Edo State, Nigeria. Specifically, it ascertained the present role or services rendered by the agricultural extension service to cassava processors and explored the latter’s expectations or extension needs. Data were collected from 167 cassava processors in the State, and analysed using descriptive statistics, multiple regression, Friedman, and Cochran tests. The major cassava products processed were gari (95.8%) and fufu (69.5%). Cochran result (χ2 = 221.57; p<0.01) r

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Awad, Fouad H., and Murtadha M. Hamad. "Improved k-Means Clustering Algorithm for Big Data Based on Distributed SmartphoneNeural Engine Processor." Electronics 11, no. 6 (2022): 883. http://dx.doi.org/10.3390/electronics11060883.

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Clustering is one of the most significant applications in the big data field. However, using the clustering technique with big data requires an ample amount of processing power and resources due to the complexity and resulting increment in the clustering time. Therefore, many techniques have been implemented to improve the performance of the clustering algorithms, especially for k-means clustering. In this paper, the neural-processor-based k-means clustering technique is proposed to cluster big data by accumulating the advantage of dedicated machine learning processors of mobile devices. The s

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Oduehie, ThankGod Chijioke, Friday N. Aboajah, Musa B. Muhammad, and Pearl E. Amadi. "Socio-economic Determinants of Adoption of Oil-palm Processing Technologies in Oguta Local Government Area of Imo State, Nigeria." Journal of Agricultural Extension 29, no. 1 (2024): 167–74. http://dx.doi.org/10.4314/jae.v29i1.19s.

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The study examined the socio-economic determinants of the adoption of palm fruit processing technologies in Oguta Local Government Area of Imo state. Purposive and multi-stage sampling procedures were used to select 60 palm fruit processors from whom primary data were obtained using a semi-structured questionnaire. Data were analyzed using frequencies, percentages, mean, Likert scale, and multiple regression model. All the processing technologies introduced to the palm fruit processors were adopted. Results of multiple regression analysis using linear functional form as lead equation posted an

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Igwe, L. U., K. C. Igwe, O. B. Ibeagwa, K. H. Anyiam, and O. C. Enoch. "Analysis of the determinants of savings among cassava processors in Imo State." Journal of Agriculture and Food Sciences 22, no. 1 (2024): 41–57. http://dx.doi.org/10.4314/jafs.v22i1.4.

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This study analyzed the factors that determine savings of cassava processors in Imo State. 180 cassava processors were randomly selected from the 6 Local Government Areas of Imo State to constitute the sample size. Data were collected through the administration of structured questionnaire. Descriptive statistics and multiple linear regression analysis were used in the analysis of data. The results showed that 75% of the cassava processors were females, a relatively large proportion (38.9%) of the processors were within the age range of 41-50years with a mean age of 43years and a mean processin

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Mgonja, Nemganga Salimu, and Gosbert Lukenku Shausi. "Challenges Facing Small-scale Cashew Nut Processors in Ruangwa district, Tanzania: An Implication for Policy Change." European Journal of Agriculture and Food Sciences 4, no. 3 (2022): 1–8. http://dx.doi.org/10.24018/ejfood.2022.4.3.492.

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This study was carried out to assess the challenges faced by small-scale cashew nut processors in Ruangwa District, Tanzania. The study employed a correlational research design using a survey on a sample of 180 small-scale cashew nut processors. Data were collected through questionnaire administration, focus group discussions, key informant interviews and documentary reviews. Quantitative and qualitative data were analyzed by using descriptive statistics and content analysis respectively. The study revealed the following challenges that face small-scale cashew nut processors: use of inefficien

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Massiseng, Andi Nur Apung, Andi Ummung, Nurlian Pildan, Hawati Hawati, and Khairul Jamil. "Profile of salted fish processors in a socio-economic perspective in Ambesia Village, Tomini District, Parigi Moutong Regency." Akuatikisle: Jurnal Akuakultur, Pesisir dan Pulau-Pulau Kecil 8, no. 2 (2024): 81–87. https://doi.org/10.29239/j.akuatikisle.8.2.81-87.

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This study was conducted to determine the socio-economic conditions of the foreign fish processing community in Ambesia Village, Tomini District, Parigi Motong Regency. This study was conducted in January 2024 - March 2024. A salted fish processor works in salted fish processing and knows the concept of salted fish processing principles. Salted fish processing activities include designing and implementing fisheries and offering salted fish prices. This study aims to determine the socio-economic conditions of salted fish processors in Ambesia Village, as well as to determine the prospects and o

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Lee, Sungho, Marco A. Martínez-Ramírez, Wei-Hsiang Liao, et al. "Reverse Engineering of Music Mixing Graphs With Differentiable Processors and Iterative Pruning." Journal of the Audio Engineering Society 73, no. 6 (2025): 344–65. https://doi.org/10.17743/jaes.2022.0212.

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Reverse engineering of music mixes aims to uncover how dry source signals are processed and combined to produce a final mix. In this paper, prior works are extended to reflect the compositional nature of mixing and search for a graph of audio processors. First, a mixing console is constructed, applying all available processors to every track and subgroup. With differentiable processor implementations, their parameters are optimized with gradient descent. Next, the process of removing negligible processors and fine-tuning the remaining ones is repeated. This way, the quality of the full mixing

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Carey, V. P., and A. J. Shah. "The Exergy Cost of Information Processing: A Comparison of Computer-Based Technologies and Biological Systems." Journal of Electronic Packaging 128, no. 4 (2005): 346–52. http://dx.doi.org/10.1115/1.2351899.

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Processing information (analysis, storing, retrieving, sharing) is the primary function of modern computer-based information systems. Systems of this type generally require an input flow of exergy (available energy) to function. Information processing systems now are evolving in two directions. One direction is toward bigger and more sophisticated systems. The other is toward systems that are more compact and portable. In both cases, the energy efficiency is becoming an increasingly important design issue. This paper summarizes an exploration of the exergy cost of processing information at the

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Naz, Najia, Abdul Haseeb Malik, Abu Bakar Khurshid, et al. "Efficient Processing of Image Processing Applications on CPU/GPU." Mathematical Problems in Engineering 2020 (October 10, 2020): 1–14. http://dx.doi.org/10.1155/2020/4839876.

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Heterogeneous systems have gained popularity due to the rapid growth in data and the need for processing this big data to extract useful information. In recent years, many healthcare applications have been developed which use machine learning algorithms to perform tasks such as image classification, object detection, image segmentation, and instance segmentation. The increasing amount of big visual data requires images to be processed efficiently. It is common that we use heterogeneous systems for such type of applications, as processing a huge number of images on a single PC may take months o

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Ayanfunke, Tijani Sarafat, and Sanusi Mohammed Kabiru. "Characteristics of shea butter processing in Niger State, Nigeria." Journal of Agricultural Extension 24, no. 4 (2020): 53–61. http://dx.doi.org/10.4314/jae.v24i4.6.

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The study examined the characteristics of Shea Butter processing and factors associated with the output in Niger states, Nigeria. Two stage sampling procedure was used to select 315 respondents. Interview schedule was used in data collection. Data collected were analysed with percentages, Chisquare, the Pearson Product Moment Coefficient (PPMC) and simple regression model at α 0.05. The result revealed that the majority (80.6%) of the respondents used semi-mechanised method in processing Shea butter. The average unit price of Shea butter was ₦476.07K per Kilogramme, while the average income wa

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Ramola, Jyoti. "A Low-Cost, High-Performance Digital Signal Processor (DSP) for Audio Applications." Mathematical Statistician and Engineering Applications 71, no. 1 (2022): 303–12. http://dx.doi.org/10.17762/msea.v71i1.2123.

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Digital audio signal processing has become increasingly common in multimedia systems as a result of the development of general-purpose digital signal processors (DSP processors) and high-precision oversampling analog-to-digital (A/D) converters. Nevertheless, the solution based on standard DSP chips could be too expensive and power-hungry for portable and home entertainment audio systems. As a result, it is necessary to locate an alternative solution that is both low-cost and low-power. In the context of digital audio applications, this paper will describe how a DSP (Digital Signal Processor)

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Zhu, Li, and Yi Min Yang. "Real-Time Multitasking Video Encoding Processing System of Multicore." Applied Mechanics and Materials 66-68 (July 2011): 2074–79. http://dx.doi.org/10.4028/www.scientific.net/amm.66-68.2074.

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This paper achieved the optimize which is based on the Series processors Produced by NVIDIA, such as Geforce, Tegra, Nexus and so on, and discussed the future development of the video image processor. Expounded the most popular DSP optimization techniques and objectives in the current, to optimized the design for the methods of the various papers available in existence. Based on the NVIDIA's series of products, specific discussed CUDA GPU architecture based on NVIDIA's products, raised the hardware and algorithms of the current most popular video encoding equipment, based on real practical tec

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Onyeneke, Robert Ugochukwu, Mark Umunna Amadi, and Chukwudi Loveday Njoku. "Climate change adaptation strategies by rice processors in Ebonyi State, Nigeria." Ekológia (Bratislava) 41, no. 3 (2022): 283–90. http://dx.doi.org/10.2478/eko-2022-0029.

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Abstract The paper examined adaptation strategies used by rice processors in Ebonyi State to manage climate risks. The paper used random sampling technique to select respondents and questionnaire was used to collect data from the respondents. Cross-sectional data collected from 98 rice processors were analysed using descriptive statistics and multivariate probit regression model. The results indicated that majority of the rice processors perceived prolonged dry season and increased rainfall intensity as the main climate risks in the state. Livelihood diversification, storing of paddy, and reli

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Ejike, R. D., and N. M. Chidiebere-Mark. "Analysis of cocoa processing and marketing in Abia State, Nigeria." Journal of Agriculture and Food Sciences 17, no. 2 (2020): 45–61. http://dx.doi.org/10.4314/jafs.v17i2.5.

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The study analysed Cocoa processing and marketing in Abia State, Nigeria. It specifically assessed the socio-economic characteristics of the cocoa processors, the structure and conduct of cocoa processors, cost and returns, marketing efficiency and constraints to cocoa processing and marketing in the study area. A total of 120 cocoa processors and marketers were randomly selected from the selected local governments purposively chosen using a multistage sampling procedure. Structured questionnaire was used to elicit information from cocoa processors who also engage in marketing of cocoa. Data w

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Intan Sari, Ayu, Sutrisno Hadi Purnomo, Endang Tri Rahayu, Shanti Emawati, and Ratih Dewanti. "The Role of Women Dairy Processors in Kampung Susu Lawu in Increasing Family Income." IOP Conference Series: Earth and Environmental Science 1497, no. 1 (2025): 012053. https://doi.org/10.1088/1755-1315/1497/1/012053.

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Abstract The challenging family economic conditions and the husband’s insufficient income often encourage women to seek additional income. Many factors are the reasons why women work, is because to overcome household economic difficulties, self-actualisation and seeking self-affiliation as a place to socialize. This study aims to examine the underlying reasons why women choose to work as dairy processors, assess the extent of their contributions to family income, and identify the characteristic factors that drive their motivation to engage in dairy processing. The research was conducted in the

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Bocci, Andrea, David Dagenhart, Vincenzo Innocente, et al. "Bringing heterogeneity to the CMS software framework." EPJ Web of Conferences 245 (2020): 05009. http://dx.doi.org/10.1051/epjconf/202024505009.

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The advent of computing resources with co-processors, for example Graphics Processing Units (GPU) or Field-Programmable Gate Arrays (FPGA), for use cases like the CMS High-Level Trigger (HLT) or data processing at leadership-class supercomputers imposes challenges for the current data processing frameworks. These challenges include developing a model for algorithms to offload their computations on the co-processors as well as keeping the traditional CPU busy doing other work. The CMS data processing framework, CMSSW, implements multithreading using the Intel Threading Building Blocks (TBB) lib

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AKUBO, D., F. R. USMAN, U. A. ABUBAKAR, M. M. EGBUNU, and J. IYAJI. "ECONOMICS OF SMALL-SCALE CASSAVA PROCESSING IN ADAVI LOCAL GOVERNMENT AREA OF KOGI STATE." FUDMA Journal of Agriculture and Agricultural Technology 9, no. 1 (2023): 172–78. http://dx.doi.org/10.33003/jaat.2023.0901.23.

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This study examined economics of small-scale cassava processing in Adavi Local Government Area of Kogi State. Specific objectives were to: describe the socioeconomic characteristics of cassava processors, assess the profitability of small-scale cassava processing and determine factors affecting the income of cassava processors. 120 respondents were selected from the list of cassava processors from Agricultural Development Project (ADP) and Adavi Local Government. Primary data used were collected using a structured questionnaire. Data were analysed with Descriptive statistics and Linear Regress

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Kowalkowski, J. "Data processing in the wake of massive multi-core processors." Journal of Physics: Conference Series 513, no. 5 (2014): 052015. http://dx.doi.org/10.1088/1742-6596/513/5/052015.

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Taylor, Bradley K., and David P. Casasent. "Twos-complement data processing for improved encoded matrix–vector processors." Applied Optics 25, no. 6 (1986): 956. http://dx.doi.org/10.1364/ao.25.000956.

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Lea, R. M. "VLSI and WSI associative string processors for structured data processing." IEE Proceedings E Computers and Digital Techniques 133, no. 3 (1986): 153. http://dx.doi.org/10.1049/ip-e.1986.0020.

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Lea, R. M. "VLSI and WSI associative string processors for structured data processing." IEE Proceedings I Solid State and Electron Devices 133, no. 3 (1986): 113. http://dx.doi.org/10.1049/ip-i-1.1986.0023.

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Gbadamosi, Jimoh, and Peter Kolawole O. "Assessment of Cassava Processing Machinery in Akinyele Local Government, Oyo State, Nigeria." Greener Journal of Agricultural Sciences 9, no. 4 (2019): 459–65. https://doi.org/10.15580/gjas.2019.4.121819218.

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The study was conducted to know the state of cassava processing machinery and the knowledge of operators on maintenance of that machinery in Akinyele local government areas of Oyo state. The local Government is currently hosting International Institute of Tropical Agriculture IITA and total number of 50 cassava processors responded to our questionnaires. The distribution was 5 cassava processors per ward. The questionnaires used to collect data consists of the demographic structures, observed cassava processing machinery, methods of operating the machines, assessment of abandoned machines and

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