Academic literature on the topic 'Stream processing comparison'
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Journal articles on the topic "Stream processing comparison"
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Osborn, Wendy. "Unbounded Spatial Data Stream Query Processing using Spatial Semijoins." Journal of Ubiquitous Systems and Pervasive Networks 15, no. 02 (2021): 33–41. http://dx.doi.org/10.5383/juspn.15.02.005.
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In this paper, the problem of query processing in spatial data streams is explored, with a focus on the spatial join operation. Although the spatial join has been utilized in many proposed centralized and distributed query processing strategies, for its application to spatial data streams the spatial join operation has received very little attention. One identified limitation with existing strategies is that a bounded region of space (i.e., spatial extent) from which the spatial objects are generated needs to be known in advance. However, this information may not be available. Therefore, two strategies for spatial data stream join processing are proposed where the spatial extent of the spatial object stream is not required to be known in advance. Both strategies estimate the common region that is shared by two or more spatial data streams in order to process the spatial join. An evaluation of both strategies includes a comparison with a recently proposed approach in which the spatial extent of the data set is known. Experimental results show that one of the strategies performs very well at estimating the common region of space using only incoming objects on the spatial data streams. Other limitations of this work are also identified.
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Stenroth, Karolina, Trent M. Hoover, Jan Herrmann, Irene Bohman, and John S. Richardson. "A model-based comparison of organic matter dynamics between riparian-forested and open-canopy streams." Riparian Ecology and Conservation 2, no. 1 (2014): 1–13. http://dx.doi.org/10.2478/remc-2014-0001.
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AbstractThe food webs of forest streams are primarily based upon inputs of organic matter from adjacent terrestrial ecosystems. However, streams that run through open landscapes generally lack closed riparian canopies, and an increasing number of studies indicate that terrestrial organic matter may be an important resource in these systems as well. Combining key abiotically-controlled factors (stream discharge, water temperature, and litter input rate) with relevant biotic processes (e.g. macroinvertebrate CPOM consumption, microbial processing), we constructed a model to predict and contrast organic matter dynamics (including temporal variation in CPOM standing crop, CPOM processing rate, FPOM production, and detritivore biomass) in small riparian-forested and open-canopy streams. Our modeled results showed that the standing crop of CPOM was similar between riparian-forested and open-canopy streams, despite considerable differences in litter input rate. This unexpected result was partly due to linkages between CPOM supply and consumer abundance that produced higher detritivore biomass in the forest stream than the open-canopy stream. CPOM standing crop in the forest stream was mainly regulated by top-down consumer control, depressing it to a level similar to that of the open-canopy stream. In contrast, CPOM standing crop in the open-canopy stream was primarily controlled by physical factors (litter input rates and discharge), not consumption. This suggests that abiotic processes (e.g. discharge) may play a greater role in limiting detrital resource availability and consumer biomass in open-canopy streams than in forest streams. These model results give insight on functional differences that exists among streams and they can be used to predict effects of anthropogenic influences such as forestry, agriculture, urbanization, and climate change on streams and how riparian management and conservation tools can be employed to mitigate undesirable effects.
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Bok, Kyoungsoo, Daeyun Kim, and Jaesoo Yoo. "Complex Event Processing for Sensor Stream Data." Sensors 18, no. 9 (2018): 3084. http://dx.doi.org/10.3390/s18093084.
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As a large amount of stream data are generated through sensors over the Internet of Things environment, studies on complex event processing have been conducted to detect information required by users or specific applications in real time. A complex event is made by combining primitive events through a number of operators. However, the existing complex event-processing methods take a long time because they do not consider similarity and redundancy of operators. In this paper, we propose a new complex event-processing method considering similar and redundant operations for stream data from sensors in real time. In the proposed method, a similar operation in common events is converted into a virtual operator, and redundant operations on the same events are converted into a single operator. The event query tree for complex event detection is reconstructed using the converted operators. Through this method, the cost of comparison and inspection of similar and redundant operations is reduced, thereby decreasing the overall processing cost. To prove the superior performance of the proposed method, its performance is evaluated in comparison with existing methods.
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Short, Robert A., and Stephen L. Smith. "Seasonal Comparison of Leaf Processing in a Texas Stream." American Midland Naturalist 121, no. 2 (1989): 219. http://dx.doi.org/10.2307/2426025.
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Ye, Qian, and Minyan Lu. "SPOT: Testing Stream Processing Programs with Symbolic Execution and Stream Synthesizing." Applied Sciences 11, no. 17 (2021): 8057. http://dx.doi.org/10.3390/app11178057.
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Adoption of distributed stream processing (DSP) systems such as Apache Flink in real-time big data processing is increasing. However, DSP programs are prone to be buggy, especially when one programmer neglects some DSP features (e.g., source data reordering), which motivates development of approaches for testing and verification. In this paper, we focus on the test data generation problem for DSP programs. Currently, there is a lack of an approach that generates test data for DSP programs with both high path coverage and covering different stream reordering situations. We present a novel solution, SPOT (i.e., Stream Processing Program Test), to achieve these two goals simultaneously. At first, SPOT generates a set of individual test data representing each path of one DSP program through symbolic execution. Then, SPOT composes these independent data into various time series data (a.k.a, stream) in diverse reordering. Finally, we can perform a test by feeding the DSP program with these streams continuously. To automatically support symbolic analysis, we also developed JPF-Flink, a JPF (i.e., Java Pathfinder) extension to coordinate the execution of Flink programs. We present four case studies to illustrate that: (1) SPOT can support symbolic analysis for the commonly used DSP operators; (2) test data generated by SPOT can more efficiently achieve high JDU (i.e., Joint Dataflow and UDF) path coverage than two recent DSP testing approaches; (3) test data generated by SPOT can more easily trigger software failure when comparing with those two DSP testing approaches; and (4) the data randomly generated by those two test techniques are highly skewed in terms of stream reordering, which is measured by the entropy metric. In comparison, it is even for test data from SPOT.
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Gulis, Vladislav, Keller Suberkropp, and Amy D. Rosemond. "Comparison of Fungal Activities on Wood and Leaf Litter in Unaltered and Nutrient-Enriched Headwater Streams." Applied and Environmental Microbiology 74, no. 4 (2007): 1094–101. http://dx.doi.org/10.1128/aem.01903-07.
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ABSTRACT Fungi are the dominant organisms decomposing leaf litter in streams and mediating energy transfer to other trophic levels. However, less is known about their role in decomposing submerged wood. This study provides the first estimates of fungal production on wood and compares the importance of fungi in the decomposition of submerged wood versus that of leaves at the ecosystem scale. We determined fungal biomass (ergosterol) and activity associated with randomly collected small wood (<40 mm diameter) and leaves in two southern Appalachian streams (reference and nutrient enriched) over an annual cycle. Fungal production (from rates of radiolabeled acetate incorporation into ergosterol) and microbial respiration on wood (per gram of detrital C) were about an order of magnitude lower than those on leaves. Microbial activity (per gram of C) was significantly higher in the nutrient-enriched stream. Despite a standing crop of wood two to three times higher than that of leaves in both streams, fungal production on an areal basis was lower on wood than on leaves (4.3 and 15.8 g C m−2 year−1 in the reference stream; 5.5 and 33.1 g C m−2 year−1 in the enriched stream). However, since the annual input of wood was five times lower than that of leaves, the proportion of organic matter input directly assimilated by fungi was comparable for these substrates (15.4 [wood] and 11.3% [leaves] in the reference stream; 20.0 [wood] and 20.2% [leaves] in the enriched stream). Despite a significantly lower fungal activity on wood than on leaves (per gram of detrital C), fungi can be equally important in processing both leaves and wood in streams.
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Khettabi, Karima, Zineddine Kouahla, Brahim Farou, Hamid Seridi, and Mohamed Amine Ferrag. "Efficient Method for Continuous IoT Data Stream Indexing in the Fog-Cloud Computing Level." Big Data and Cognitive Computing 7, no. 2 (2023): 119. http://dx.doi.org/10.3390/bdcc7020119.
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Internet of Things (IoT) systems include many smart devices that continuously generate massive spatio-temporal data, which can be difficult to process. These continuous data streams need to be stored smartly so that query searches are efficient. In this work, we propose an efficient method, in the fog-cloud computing architecture, to index continuous and heterogeneous data streams in metric space. This method divides the fog layer into three levels: clustering, clusters processing and indexing. The Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm is used to group the data from each stream into homogeneous clusters at the clustering fog level. Each cluster in the first data stream is stored in the clusters processing fog level and indexed directly in the indexing fog level in a Binary tree with Hyperplane (BH tree). The indexing of clusters in the subsequent data stream is determined by the coefficient of variation (CV) value of the union of the new cluster with the existing clusters in the cluster processing fog layer. An analysis and comparison of our experimental results with other results in the literature demonstrated the effectiveness of the CV method in reducing energy consumption during BH tree construction, as well as reducing the search time and energy consumption during a k Nearest Neighbor (kNN) parallel query search.
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Rodrigo, Arosha, Miyuru Dayarathna, and Sanath Jayasena. "Latency-Aware Secure Elastic Stream Processing with Homomorphic Encryption." Data Science and Engineering 4, no. 3 (2019): 223–39. http://dx.doi.org/10.1007/s41019-019-00100-5.
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Abstract Increasingly organizations are elastically scaling their stream processing applications into the infrastructure as a service clouds. However, state-of-the-art approaches for elastic stream processing do not consider the potential threats of exposing their data to third parties in cloud environments. We present the design and implementation of an Elastic Switching Mechanism for data stream processing which is based on homomorphic encryption (HomoESM). The HomoESM not only elastically scales data stream processing applications into public clouds but also preserves the privacy of such applications. Using a real-world test setup, which includes an E-mail Filter benchmark and a Web server access log processor benchmark (EDGAR), we demonstrate the effectiveness of our approach. Experiments on Amazon EC2 indicate that the proposed approach for homomorphic encryption provides a significant result which is 10–17% improvement in average latency in the case of E-mail Filter benchmark and EDGAR benchmark, respectively. Furthermore, EDGAR add/subtract operations, multiplication, and comparison operations showed up to 6.13%, 7.81%, and 26.17% average latency improvements, respectively. Finally, we evaluate the potential of scaling the homomorphic stream processor in the public cloud. These results indicate the potential for real-world deployments of secure elastic data stream processing applications.
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Hrytsko, T. L., D. Lenskiy, and V. S. Hlukhov. "REVIEW OF THE CAPABILITIES OF THE JPEG-LS ALGORITHM FOR ITS USE WITH EARTH SURFACE SCANNERS." Computer systems and network 6, no. 2 (2024): 14–24. https://doi.org/10.23939/csn2024.02.014.
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The article explores the possibilities of implementing the JPEG-LS image compression algorithm on Field Programmable Gate Arrays (FPGA) for processing monochrome video streams from Earth surface scanners. A comparison of software implementations of the algorithms, their compression ratio, and execution time is conducted. Methods for improving FPGA performance are considered, using parallel data processing and optimized data structures to accelerate compression and decompression processes. Test results of the software implementation of the algorithm show an average processing speed of 179.2 Mbit/s during compression and 169.6 Mbit/s during decompression. A compression ratio from 1.2 to 7.4 can be achieved depending on the complexity of the image. Key words: FPGA, JPEG-LS, Field-programmable gate arrays, Image compression, Image processing, Video compression, Video stream processing.
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Hrytsko, T. L., D. Lenskiy, and V. S. Hlukhov. "REVIEW OF THE CAPABILITIES OF THE JPEG-LS ALGORITHM FOR ITS USE WITH EARTH SURFACE SCANNERS." Computer systems and network 6, no. 2 (2024): 15–25. https://doi.org/10.23939/csn2024.02.015.
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The article explores the possibilities of implementing the JPEG-LS image compression algorithm on Field Programmable Gate Arrays (FPGA) for processing monochrome video streams from Earth surface scanners. A comparison of software implementations of the algorithms, their compression ratio, and execution time is conducted. Methods for improving FPGA performance are considered, using parallel data processing and optimized data structures to accelerate compression and decompression processes. Test results of the software implementation of the algorithm show an average processing speed of 179.2 Mbit/s during compression and 169.6 Mbit/s during decompression. A compression ratio from 1.2 to 7.4 can be achieved depending on the complexity of the image. Key words: FPGA, JPEG-LS, Field-programmable gate arrays, Image compression, Image processing, Video compression, Video stream processing.
Dissertations / Theses on the topic "Stream processing comparison"
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Robakowski, Mikolaj. "Comparison of State Backends for Modern Stream Processing System." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-290597.
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Distributed Stream Processing is a very popular computing paradigm used invarious modern computer systems. An important aspect of distributed streamprocessing systems is how they deal with computation state bigger than thesystem memory. This is often solved by the usage of a state backend – adatabase, usually an embedded one, that manages the state on the persistentstorage. However, this makes the performance of the whole system dependanton the performance of the database under the given workload. Log-structuredmerge-tree-based solutions are commonly used in stream processing systemsas a one-size-fits-all state backends. We postulate that using different statebackends for different workloads yields much better performance. In this workwe implement several state backends for Arcon, a modern stream processingruntime written in Rust and developed at KTH. The thesis goes over the designchoices and implementation process of a state backend interface alongwith several concrete implementations. We experimentally evaluate the implementationsagainst each other and show that under certain workloads someperform better than other. In particular we show that under read-heavy workloadssled, an embedded Bw-tree-based database written in Rust, outperformsthe commonly used, LSM-based RocksDB.<br>Distribuerad strömbehandling är ett mycket populärt dataparadigm som användsi olika moderna datorsystem. En viktig aspekt av distribuerad strömbearbetningssystem är hur de hanterar data som är större än system minne.Detta löses ofta genom användning av en backend – en databas, vanligtvis eninbäddad, som hanterar lagringen. Detta gör dock att hela systemets prestandablir beroende av databasens prestanda för den angivna arbetsbelastningen.Loggstrukturerad merge-tree-baserade lösningar används ofta i strömbehandlingssystemsom en backend för alla typer av belastningar. Vi postulerar attanvända olika backends för olika arbetsbelastningar ger mycket bättre prestanda.I det här arbetet implementerar vi flera backends för Arcon, en modernströmbehandlings runtime skriven i Rust och utvecklad vid KTH. Avhandlingengår över implementeringsprocessen och gränssnittet för backends med flerakonkreta implementationer. Vi utvärderar experimentellt implementationernamot varandra och visar att vissa presterar bättre än andra beroende på arbetsbelastningen.I synnerhet visar vi att under läs-tungt arbete, så ser vi att sled,en inbäddad Bw-Tree databas skriven i Rust presterar bättre än den vanligaLSM-baserade RocksDB.
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Tallberg, Sebastian. "A COMPARISON OF DATA INGESTION PLATFORMS IN REAL-TIME STREAM PROCESSING PIPELINES." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-48744.
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In recent years there has been an increasing demand for real-time streaming applications that handle large volumes of data with low latency. Examples of such applications include real-time monitoring and analytics, electronic trading, advertising, fraud detection, and more. In a streaming pipeline the first step is ingesting the incoming data events, after which they can be sent off for processing. Choosing the correct tool that satisfies application requirements is an important technical decision that must be made. This thesis focuses entirely on the data ingestion part by evaluating three different platforms: Apache Kafka, Apache Pulsar and Redis Streams. The platforms are compared both on characteristics and performance. Architectural and design differences reveal that Kafka and Pulsar are more suited for use cases involving long-term persistent storage of events, whereas Redis is a potential solution when only short-term persistence is required. They all provide means for scalability and fault tolerance, ensuring high availability and reliable service. Two metrics, throughput and latency, were used in evaluating performance in a single node cluster. Kafka proves to be the most consistent in throughput but performs the worst in latency. Pulsar manages high throughput with low message sizes but struggles with larger message sizes. Pulsar performs the best in overall average latency across all message sizes tested, followed by Redis. The tests also show Redis being the most inconsistent in terms of throughput potential between different message sizes
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Georgiadis, Charalampos. "An evaluation and performance comparison of different approaches for data stream processing." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-307214.
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In recent years the demand of faster data processing and real-time analysis and reporting has grown substantially. Social networks, internet of things, trading are among others, use cases where data stream processing has a vital importance. This has led to the emergence of several distributed computing frameworks that can be successfully exploited for data stream processing purposes. This project aims to examine a number of them, their architecture and key features. First, all the open source frameworks were found and studied. Based on the approach they follow, two of them were selected to be further analyzed and presented in detail. In the final part of the project a telemetry data monitoring application was applied using both frameworks on a computing cluster. The aim of that experiment was to illustrate how those two different approaches would perform in terms of exploiting the clusters resources as they scale out.
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Johnson, Robert A. "A Comparison Between Two-Dimensional and Three-DimensionalAnalysis, A Review of Horizontal Wood Diaphragms and a Case Study of the Structure Located at 89 Shrewsbury Street, Worcester, MA." Digital WPI, 2008. https://digitalcommons.wpi.edu/etd-theses/524.
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A two-dimensional structural analysis design approach has been the universally accepted method for a small structural engineering design firm. The tools to perform the analysis have been paper and pencil, calculators and more recently personal computers with two-dimensional software. With the introduction of three-dimensional software, a major shift is occurring on how small structural engineering firms approach analysis and design. This thesis research reviews the analysis of an existing building utilizing the standard two-dimensional approach, including horizontal diaphragm-action within wood floors. This study also reviews the research performed on horizontal diaphragms and investigates the use of three-dimensional, finite element modeling (RISA-3D) for the analysis of horizontal diaphragms. It is shown that the three-dimensional model can provide results similar to the two-dimensional hand calculations. However, the thickness of the diaphragm elements has to be significantly modified for flexible diaphragm action. The experience described herein is useful for structural engineer interfacing within three-dimensional CAD systems. The thesis concludes with a discussion on the challenges facing small structural engineering firms, including computer based technologies, engineering expertise to develop contract documents and review shop drawings, and outsourcing of design services.
Books on the topic "Stream processing comparison"
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Krivoyekov, Syergyey, and Roman Ayzman. Psychophysiology. INFRA-M Academic Publishing LLC., 2015. http://dx.doi.org/10.12737/10884.
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Psychophysiology — the science studying interrelation of mentality of the person and physiological processes. Fundamental knowledge of work of a brain, first of all, of nervous regulation of functions of an organism, the general and specific features of the highest falls within the scope of its interests
 nervous activity, the defining character and behavior of the person,
 psychophysiological mechanisms of regulation of functional states.
 In the book neurophysiological bases of coding and information processing in nervous system, neural mechanisms of feelings, perceptions, memories, training, motivations and emotions, thinking and the speech, attention, consciousness, behavior, mental activity are stated. Separate
 the section is devoted to physiological bases of mental changes at various functional, extreme and pathophysiological states (a stress, post-stressful frustration, addiktivny states, depressions, etc.) and to ways of their correction. Authors tried to pay special attention to disclosure of specifics of psychophysiology of the person,
 to difference of physiological mechanisms of regulation of mental functions of the person in comparison with model researches on animals.
 For simplification of work on discipline and the best digestion of material
 the textbook is supplied with the glossary.
 For students, undergraduates, graduate students and teachers of psychological and medical faculties of higher education institutions.
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Decennial census: A comparison of the 1980 and 1990 census questionnaire contents : fact sheet for congressional requesters. The Office, 1987.
Find full textBook chapters on the topic "Stream processing comparison"
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Hüwel, Jan David, Florian Haselbeck, Dominik G. Grimm, and Christian Beecks. "Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15791-2_10.
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AbstractOne of the major challenges in time series analysis are changing data distributions, especially when processing data streams. To ensure an up-to-date model delivering useful predictions at all times, model reconfigurations are required to adapt to such evolving streams. For Gaussian processes, this might require the adaptation of the internal kernel expression. In this paper, we present dynamically self-adjusting Gaussian processes by introducing Event-Triggered Kernel Adjustments in Gaussian process modelling (ETKA), a novel data stream modelling algorithm that can handle evolving and changing data distributions. To this end, we enhance the recently introduced Adjusting Kernel Search with a novel online change point detection method. Our experiments on simulated data with varying change point patterns suggest a broad applicability of ETKA. On real-world data, ETKA outperforms comparison partners that differ regarding the model adjustment and its refitting trigger in nine respective ten out of 14 cases. These results confirm ETKA’s ability to enable a more accurate and, in some settings, also more efficient data stream processing via Gaussian processes.
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Salem, Makki Ben, Philipp Niklas Rosenthal, and Abdelmajid Khelil. "Qualitative Comparison of Tools for Handling Unstructured IIoT Data." In ARENA2036. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88831-1_20.
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Abstract The Industrial Internet of Things (IIoT) generates vast amounts of data, often unstructured and heterogeneous. Processing and analyzing this data to gain insights and drive industrial automation requires sophisticated tools. This paper investigates the potential of various platforms for handling unstructured IIoT data, focusing on a qualitative comparative analysis of Node-RED, a visual programming tool, against established industrial solutions such as Apache NIFI, KNIME Analytics Platform, and Microsoft Azure Logic Apps. By evaluating these tools, we highlight their respective capabilities and limitations in managing unstructured data. Through this comparative analysis, we demonstrate the distinct features and performance of each tool and discuss their applicability in IIoT data management. The study shows that Node-RED is the most effective tool for handling unstructured IIoT data. Accordingly, we illustrate its use for a specific use case, i.e., value stream analysis.
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Stankowski, Jakub, Mateusz Lorkiewicz, and Krzysztof Klimaszewski. "System Architecture for Real-Time Comparison of Audio Streams for Broadcast Supervision." In Image Processing and Communications Challenges 10. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03658-4_29.
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Weiser, Ingo Felix, Tim Herrig, and Thomas Bergs. "A Model Calculation of CO2 Emissions Saving Potential for Fine Blanking of Inductively Heated Sheet Metal with Comparison of the Product Variants." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28839-5_77.
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AbstractThe steel processing industry must increasingly question itself with regard to environmental aspects, especially for automobile production. As a consequence of the resulting lightweight construction requirements in the automotive sector, manufacturing processes of industrial relevance must deal with high-strength steels. In case of fine blanking, the process faces its limits already when processing medium-high tensile strength steels because of high tool wear or failure. A promising approach to overcome these process limits is the introduction of heat into the processed metal sheet in order to lower the flow stress of the steel. In order to estimate the sustainability of a fine blanking process with inductively heated sheets, the energy input during heating is investigated in this work. An energy balance is drawn for fine blanking of inductively heated sheets. A further component of the work is the subsequent use phase of the components produced in this way. A consideration of the greenhouse gas emissions savings potential by fine blanking in the German automotive production shows possible future perspectives for manufacturing. It could be found that by substituting standard fine blanking process by inductively heated fine blanking of higher strength steels greenhouse gas emissions can be decreased.
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Dou, Zhiyi, Waishan Qiu, Wenjing Li, and Dan Luo. "Evaluation Process of Urban Spatial Quality and Utility Trade-Off for Post-COVID Working Preferences." In Computational Design and Robotic Fabrication. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8637-6_19.
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AbstractThe formation of cities, and the relocation of workers to densely populated areas reflect a spatial equilibrium, in which the higher real consumption levels of urban areas are offset by lower non-monetary amenities [1]. However, as the society progress toward a post-COVID stage, the prevailing decentralized delivery systems and location-based services, the growing trend of working from home, with citizens’ shifting preference of de-appreciating densities and gathering, have not only changed the possible spatial distribution of opportunities, resources, consumption and amenities, but also transformed people’s preference regarding desirable urban spatial qualities, value of amenities, and working opportunities [2, 3].This research presents a systematic method to evaluate the perceived trade-off between urban spatial qualities and urban utilities such as amenities, transportation, and monetary opportunities by urban residence in the post-COVID society. The outcome of the research will become a valid tool to drive and evaluate urban design strategies based on the potential self-organization of work-life patterns and social profiles in the designated neighbourhood.To evaluate the subjective perception of the urban residence, the study started with a comparative survey by asking residence to compare two randomly selected urban contexts in a data base of 398 contexts sampled across Hong Kong and state their living preference under the presumption of following scenarios: 1. working from home; 2. working in city centre offices. Core information influencing the spatial equilibrium are provided in the comparable urban context such as street views, housing price, housing space, travel time to city centre, adjacency to public transport and amenities, etc. Each context is given a preference score calculated with Microsoft TrueSkill Bayesian ranking algorithm [4] based on the comparison survey of two scenarios.The 398 contexts are further analysed via GIS and image processing, to be deconstructed into numerical values describing main features for each of the context that influence urban design strategies such as composition of spatial features, amenity allocation, adjacency to city centre and public transportations. Machine learning models are trained with the numerical values of urban features as input and two preference scores for the two working scenarios as the output. The correlation heat maps are used to identify main urban features and its p-value that influence residence’s preference under two working scenarios in post–COVID era. The same model could also be applied to inform the direction of urban design strategies to construct a sustainable community for each type of working population and validate the design strategies via predicting its competitiveness in attracting residence and developing target industries.
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Jiang, Qingchun, Raman Adaikkalavan, and Sharma Chakravarthy. "Event/Stream Processing for Advanced Applications." In Intelligent Techniques for Warehousing and Mining Sensor Network Data. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-328-9.ch014.
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Event processing in the form of ECA rules has been researched extensively from the situation monitoring viewpoint to detect changes in a timely manner and to take appropriate actions. Several event specification languages and processing models have been developed, analyzed, and implemented. More recently, data stream processing has been receiving a lot of attention to deal with applications that generate large amounts of data in real-time at varying input rates and to compute functions over multiple streams that satisfy quality of service (QoS) requirements. A few systems based on the data stream processing model have been proposed to deal with change detection and situation monitoring. However, current data stream processing models lack the notion of composite event specification and computation, and they cannot be readily combined with event detection and rule specification, which are necessary and important for many applications. This chapter discusses a couple of representative scenarios that require both stream and event processing. The authors then summarize the similarities and differences between the event and data stream processing models. The comparison clearly indicates that for most of the applications considered for stream processing, event component is needed and is not currently supported. And conversely, earlier event processing systems assumed primitive (or simple) events triggered by DBMS and other applications and did not consider computed events. By synthesizing these two and combining their strengths, the authors present an integrated model – one that will be better than the sum of its parts. The authors discuss the notion of a semantic window, which extends the current window concept for continuous queries, and stream modifiers in order to extend current stream computation model for complicated change detection. They further discuss the extension of event specification to include continuous queries. Finally, the authors demonstrate how one of the scenarios discussed earlier can be elegantly and effectively modeled using the integrated approach.
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"A Mathematical Representation and Comparison of Detectors for Wireless Communication using Multiple Antennas." In Mathematics in Signal Processing V, edited by Catherine Z. W. Hassell Sweatman, John S. Thompson, Bernard Mulgrew, and Peter M. Grant. Oxford University PressOxford, 2002. http://dx.doi.org/10.1093/oso/9780198507345.003.0028.
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Abstract It has been shown that, for the case of single-user wireless communication in a Rayleigh flat-fading environment, extraordinary capacity is available if multiple antennas are used at both the transmitter and receiver. These results (1] assume that the channel is not known at the transmitter but is tracked at the receiver. In this paper, detection algorithms for such systems are described and compared. Sending the data stream for a single user from multiple transmit antennas ensures multipath transmission. Using multiple antennas at the receiver and appropriate digital signal processing multi stream detection techniques, the scat-tering can be exploited to improve system capacity (1, 2, 3].
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Ibrahim, Hasnita, Rozlen Mustapa, N. N. Edzan, and Wan Ahmad Hanis Wan Yahya. "Profiling Prominent Malaysians in Bernama Library and Infolink Service." In Advances in Library and Information Science. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9542-9.ch014.
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InfoLibNews is an information centre for news. In May 1968, InfoLibNews had to adapt the conditions of digital and online environment by taking charge of storing, processing and archiving news and information for easy access by journalists which been extended to the entire nation for its research values. InfoLibNews also functions as an information holding center by maintaining BERNAMA news and processing news clippings published by main stream newspapers which are later stored in BLIS for quick reference check, comparison and analysis. Thus, this article will focus on familiarizing the “Who's Who” module; listing of key personnel selection criteria; the work processes; headings within the profiles; evolution; actions taken to ensure speedy storage and reliable retrieval systems so as to ensure accurate, up-to-date news and information, credibility and quality. Finally, InfoLibNews will share the challenges of processing the module in line with the expectations of its users and clients as BERNAMA is set to be the leading information provider on prominent personalities in Malaysia.
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Yunus, Farizah, Sharifah H. S. Ariffin, S. K. Syed-Yusof, Nor-Syahidatul N. Ismail, and Norsheila Fisal. "Transport Protocol Performance for Multi-Hop Transmission in Wireless Sensor Network (WSN)." In Mobile Computing and Wireless Networks. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8751-6.ch026.
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The need for reliable data delivery at the transport layer for video transmission over IEEE 802.15.4 Wireless Sensor Networks (WSNs) has attracted great attention from the research community due to the applicability of multimedia transmission for many applications. The IEEE 802.15.4 standard is designed to transmit data within a network at a low rate and a short distance. However, the characteristics of WSNs such as dense deployment, limited processing ability, memory, and power supply provide unique challenges to transport protocol designers. Additionally, multimedia applications add further challenges such as requiring large bandwidth, large memory, and high data rate. This chapter discusses the challenges and evaluates the feasibility of transmitting data over an IEEE 802.15.4 network for different transport protocols. The analysis result highlights the comparison of standard transport protocols, namely User Datagram Protocol (UDP), Transport Control Protocol (TCP), and Stream Control Transmission Protocol (SCTP). The performance metrics are analyzed in terms of the packet delivery ratio, energy consumption, and end-to-end delay. Based on the study and analysis that has been done, the standard transport protocol can be modified and improved for multimedia data transmission in WSN. As a conclusion, SCTP shows significant improvement up to 18.635% and 40.19% for delivery ratio compared to TCP and UDP, respectively.
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Yunus, Farizah, Sharifah H. S. Ariffin, S. K. Syed-Yusof, Nor-Syahidatul N. Ismail, and Norsheila Fisal. "Transport Protocol Performance for Multi-Hop Transmission in Wireless Sensor Network (WSN)." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5170-8.ch015.
Full textAbstract:
The need for reliable data delivery at the transport layer for video transmission over IEEE 802.15.4 Wireless Sensor Networks (WSNs) has attracted great attention from the research community due to the applicability of multimedia transmission for many applications. The IEEE 802.15.4 standard is designed to transmit data within a network at a low rate and a short distance. However, the characteristics of WSNs such as dense deployment, limited processing ability, memory, and power supply provide unique challenges to transport protocol designers. Additionally, multimedia applications add further challenges such as requiring large bandwidth, large memory, and high data rate. This chapter discusses the challenges and evaluates the feasibility of transmitting data over an IEEE 802.15.4 network for different transport protocols. The analysis result highlights the comparison of standard transport protocols, namely User Datagram Protocol (UDP), Transport Control Protocol (TCP), and Stream Control Transmission Protocol (SCTP). The performance metrics are analyzed in terms of the packet delivery ratio, energy consumption, and end-to-end delay. Based on the study and analysis that has been done, the standard transport protocol can be modified and improved for multimedia data transmission in WSN. As a conclusion, SCTP shows significant improvement up to 18.635% and 40.19% for delivery ratio compared to TCP and UDP, respectively.
Conference papers on the topic "Stream processing comparison"
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Karakaya, Ziya, Ali Yazici, and Mohammed Alayyoub. "A Comparison of Stream Processing Frameworks." In 2017 International Conference on Computer and Applications (ICCA). IEEE, 2017. http://dx.doi.org/10.1109/comapp.2017.8079733.
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Lal, Devesh Kumar, and Ugrasen Suman. "Towards comparison of real time stream processing engines." In 2019 IEEE Conference on Information and Communication Technology (CICT). IEEE, 2019. http://dx.doi.org/10.1109/cict48419.2019.9066123.
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Lopez, Martin Andreoni, Antonio Gonzalez Pastana Lobato, and Otto Carlos M. B. Duarte. "A Performance Comparison of Open-Source Stream Processing Platforms." In GLOBECOM 2016 - 2016 IEEE Global Communications Conference. IEEE, 2016. http://dx.doi.org/10.1109/glocom.2016.7841533.
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Melnyk, Roman, Yurii Havrylko, and Ivan Mykulanynets. "Fabric Defects Detection by Comparison of Clustered Samples." In 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP). IEEE, 2020. http://dx.doi.org/10.1109/dsmp47368.2020.9204307.
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Coluccio, Roberto, Giacomo Ghidini, Andrea Reale, et al. "Online stream processing of machine-to-machine communications traffic: A platform comparison." In 2014 IEEE Symposium on Computers and Communication (ISCC). IEEE, 2014. http://dx.doi.org/10.1109/iscc.2014.6912528.
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Kim, Dohan, Aming Wu, and Young-Woo Kwon. "Comparison of Meta-Heuristic Algorithms for Task Scheduling in Distributed Stream Processing." In 2022 IEEE 27th Pacific Rim International Symposium on Dependable Computing (PRDC). IEEE, 2022. http://dx.doi.org/10.1109/prdc55274.2022.00041.
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Boyko, Nataliya, Oleg Basystiuk, and Nataliya Shakhovska. "Performance Evaluation and Comparison of Software for Face Recognition, Based on Dlib and Opencv Library." In 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP). IEEE, 2018. http://dx.doi.org/10.1109/dsmp.2018.8478556.
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Wang, Yuxiao. "Comparison Among Double-Stream CNN and Local Feature Fusion of CNN in the Facial Expression Recognition Field." In 2023 IEEE International Conference on Image Processing and Computer Applications (ICIPCA). IEEE, 2023. http://dx.doi.org/10.1109/icipca59209.2023.10257795.
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Putica, Katarina B. "META-ANALYSIS OF THE EFFECTS OF THE STEM TEACHING APPROACH ON THE DEVELOPMENT OF 21ST-CENTURY COMPETENCIES RELATED TO LEARNING NATURAL SCIENCES." In STEM/STEAM/STREAM APPROACH IN THEORY AND PRACTICE OF CONTEMPORARY EDUCATION. University of Kragujevac, Faculty of Education in Jagodina, 2025. https://doi.org/10.46793/stream25.061p.
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Since the fast scientific growth has a profound impact on life in the 21st century, this research aimed to explore the effects of STEM teaching on the development of key 21st-century competencies for learning natural sciences. Consequently, four research hypotheses were formulated: the STEM approach promotes the development of creativity (H1), critical thinking (H2), problem-solving (H3), and science-processing skills (H4) to a greater extent than the traditional approach to teaching natural sciences. The validity of the hypotheses was assessed through a meta-analysis. The results of 21 studies that examined the effects of the STEM approach on the development of the above-mentioned competencies among both elementary and high-school pupils were used to calculate the corresponding mean Cohen’s d value for each of the four hypotheses. The mean Cohen’s d values for the hypotheses related to creativity and science-processing skills range between +0.500 and +0.800 which indicates a moderate positive effect. The mean Cohen’s d values for the hypotheses referring to critical thinking and problem-solving skills were higher than +0.800, indicating a strong positive effect of the STEM approach on the development of these competencies in comparison to the traditional teaching approach. Consequently, it can be concluded that all four research hypotheses posed here are confirmed. Furthermore, the findings confirm the considerable potential of the STEM teaching approach to contribute to the development of key 21st-century competencies related to learning natural sciences.
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G. Giorges, Aklilu T., and John A. Pierson. "The Comparison of Membrane Blocking Process and Yeast Membrane Filtration Data." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-66944.
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Membrane filtration systems are used in a variety of processing industries where their performance meet and exceed the requirements in cost and quality. However, it is a challenge to design a small pore-size membrane system that treats very concentrated, large-volume streams within a reasonable time period. In the processing industries, several membrane technologies are used to separate various fluid streams where the concentrate or filtrate contains high-value products. Nevertheless, pore blocking is one of the major factors determining the applicability, efficiency and performance of the membrane filtration and separation system. Inside and outside membrane pore blockages lead to concentration polarization and cake buildup that reduces the flux rate and increases losses in system efficiency. There are four pore blocking mechanisms identified and modeled (complete, standard, intermediate and cake). Several experimental and theoretical works exist that describe the pore flow and blocking process. Depending on the processing fluid and membrane characteristics, all or some of the blocking mechanisms will be exhibited during the filtration process. Understanding the fluid and membrane size and characteristics in addition to pore blocking mechanisms is very important to designing effective membrane filtration systems that overcome the drawbacks associated with membrane performance. Furthermore, developing a membrane filtration system with a target cleaning process that controls membrane performance declines and maintains a reasonable flux for an extended period of time requires understanding and identifying the cause of membrane blocking. In this study, the membrane blocking during the filtration process was investigated experimentally. The experiment was designed to simulate the characteristics of a fluid stream encountered in food processing. The higher concentration was selected to manage the experiment time as well as to address worst-case scenarios, while the lower concentrations were selected to manage the filter area reduction. Dead-end filtration of two yeast solution concentrations were filtered through two different filter areas. In addition, the dynamic tests were conducted with shear generated using an impeller operated at various rotational speeds. Several tests were performed and the filtrate volume, time, pressure and agitation rate were recorded. The volume was measured with a graduated cylinder and the time measured in seconds. The results show the membrane blocking process is significantly affected by the membrane and fluid characteristics. The plots of pore blocking models and the experimental membrane filtrate data show the dominant pore blocking observed for both filters and flow process is cake filtration. The side-by-side comparison also indicates that the dominant pore blocking mechanisms depend on time. Thus, the initial and final pore blocking may not be attributed to the same pore blocking mechanism. Although it cannot be clearly shown from the current study, some part of the experimental flux profile may also be shaped by the combined pore blocking effects.
Reports on the topic "Stream processing comparison"
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Chepeliev, Maksym. The GTAP 10A Data Base with Agricultural Production Targeting Based on the Food and Agricultural Organization (FAO) Data. GTAP Research Memoranda, 2020. http://dx.doi.org/10.21642/gtap.rm35.
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This document describes a new source of inputs, based on FAO data, that allows us to estimate agricultural output targets on 133 regions of the GTAP 10A Data Base. This approach allows to overcome several limitations present under the current agricultural production targeting (APT) processing. First, a significant expansion in the regional coverage is achieved, as the number of regions undergoing APT more than doubles. Second, the detailed commodity classification of the FAO dataset allows for a more accurate mapping to the GTAP Data Base sectors. Third, a better commodity coverage in the FAO data prevents the issue of mapping a processed commodities to the corresponding primary sector. Finally, reliance on the FAO agricultural output data provides a better opportunity for further incorporation of the nutritional accounts to the GTAP Data Base, by lowering inconsistencies between GTAP and FAO agricultural accounting. Comparisons between OECD-based agricultural output (currently used in the GTAP Data Base) and FAO-derived estimates are provided in the document. FAO-based agricultural production targets are incorporated to the GTAP 10A Data Base build stream to produce a special release of the GTAP Data Base. JEL classification: C68, D57, D58, Q10, Q11. Keywords: Agricultural production targeting, GTAP Data Base, Computable general equilibrium.
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Weeks and Dash Weeks. L52336 Weld Design Testing and Assessment Procedures for High-strength Pipelines Curved Wide Plate Tests. Pipeline Research Council International, Inc. (PRCI), 2011. http://dx.doi.org/10.55274/r0010452.
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A variety of mechanical property tests are performed in the design, construction and maintenance phase of a pipeline. Most of the tests are performed by use of small-scale specimens with size typically in the range of a few inches to tens of inches (1 in = 25.4 mm). There are numerous test labs capable of performing most small-scale tests. These tests can be performed effectively under a variety of conditions, e.g., test temperature, strain rate, and loading configuration. More importantly, most routine small-scale tests are performed in accordance with national and international standards, ensuring the consistency of testing procedures. To confirm pipeline designs and validate material performance, it is desirable to test girth welds under realistic service conditions. Full-scale tests can incorporate certain realistic features that small-scale specimens cannot. However, these tests can be time-consuming and expensive to conduct. Very few labs can perform the tests, even with months of start-up and preparation time. There are no generally accepted, consistent test procedures among different test labs. The data acquisition and post-processing may differ from lab to lab, creating difficulties in data comparison. Full-scale tests can only be performed under selected conditions as a supplemental tool to the small-scale tests. The work described in this report focuses on the development of test procedures and instrumentation requirements for curved-wide-plate (CWP) tests. The results of this work can be used for: Developing a test methodology to measure the physical response of a finite-length surface-breaking flaw to axial loads applied to a girth welded line pipe section, Determining the appropriate instrumentation to fully characterize the global stress/strain response of the CWP specimen during loading, Evaluating the applicability of the test methodology for sub-ambient temperatures, and Developing a standardized test procedure for CWP testing with a wide range of test parameters.