Academic literature on the topic 'Proportion – Data processing'
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Journal articles on the topic "Proportion – Data processing"
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Kralev, Velin, Radoslava Kraleva, and Petia Koprinkova-Hristova. "Data modelling and data processing generated by human eye movements." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (October 1, 2021): 4345. http://dx.doi.org/10.11591/ijece.v11i5.pp4345-4352.
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Data modeling and data processing are important activities in any scientific research. This research focuses on the modeling of data and processing of data generated by a saccadometer. The approach used is based on the relational data model, but the processing and storage of the data is done with client datasets. The experiments were performed with 26 randomly selected files from a total of 264 experimental sessions. The data from each experimental session was stored in three different formats, respectively text, binary and extensible markup language (XML) based. The results showed that the text format and the binary format were the most compact. Several actions related to data processing were analyzed. Based on the results obtained, it was found that the two fastest actions are respectively loading data from a binary file and storing data into a binary file. In contrast, the two slowest actions were storing the data in XML format and loading the data from a text file, respectively. Also, one of the time-consuming operations turned out to be the conversion of data from text format to binary format. Moreover, the time required to perform this action does not depend in proportion on the number of records processed.
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Luo, Wen Hua. "The Processing and Analyzing of Non-Structured Data in Digital Investigation." Advanced Materials Research 774-776 (September 2013): 1807–11. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.1807.
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The proportion of Non-structured data in total amount is much more than that of structured data. But the research on the method of processing and analyzing non-structured data is not as deep as that on structured data. This paper illustrates the importance of the research on non-structured data. Then from the angle of digital investigation, it illustrates the key techniques of its processing and analyzing ways. And it combines the self-developed Intelligent Analyzing System of Mass Case Information and the background of handling the online ball gambling in Chinese mainland, it illustrates in detail the specific application of non-structured data processing and analyzing in digital investigation.
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Palguyev, D. A., and A. N. Shentyabin. "Matrix application for multi-radar processing of radar data arrays." Radio industry (Russia) 30, no. 3 (September 8, 2020): 99–111. http://dx.doi.org/10.21778/2413-9599-2020-30-3-99-111.
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In the processing of dynamically changing data, for example, radar data (RD), a crucial part is made by the representation of various data sets containing information about routes and signs of air objects. In the practical implementation of the computational process, it previously seemed natural that RD processing in data arrays was carried out by the elementwise search method. However, the representation of data arrays in the form of matrices and the use of matrix math allow optimal calculations to be formed during tertiary processing. Forming matrices and working with them requires a significant computational resource, so the authors can assume that a certain gain in calculation time may be achieved if there is a large amount of data in the arrays, at least several thousand messages. The article shows the sequences of the most frequently repeated operations of tertiary network processing, such as searching for and replacing an array element. The simulation results show that the processing efficiency (relative reduction of processing time and saving of computing resources) with the use of matrices, in comparison with elementwise search and replacement, increases in proportion to the number of messages received by the information processing device. The most significant gain is observed when processing several thousand messages (array elements). Thus, the use of matrices and the mathematical apparatus of matrix math for processing arrays of dynamically changing data can reduce processing time and save computational resources. The proposed matrix method of organizing calculations can also find its place in the modeling of complex information systems.
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Hussin, Masnida, Raja Azlina Raja Mahmood, and Mas Rina Mustaffa. "Sensor Communication Model Using Cyber-Physical System Approach for Green Data Center." International Journal of Interactive Mobile Technologies (iJIM) 13, no. 10 (September 25, 2019): 188. http://dx.doi.org/10.3991/ijim.v13i10.11310.
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Energy consumption in distributed computing system gains a lot of attention recently after its processing capacity becomes significant for better business and economic operations. Comprehensive analysis of energy efficiency in high-performance data center for distributed processing requires ability to monitor a proportion of resource utilization versus energy consumption. In order to gain green data center while sustaining computational performance, a model of energy efficient cyber-physical communication is proposed. A real-time sensor communication is used to monitor heat emitted by processors and room temperature. Specifically, our cyber-physical communication model dynamically identifies processing states in data center while implying a suitable air-conditioning temperature level. The information is then used by administration to fine-tune the room temperature according to the current processing activities. Our automated triggering approach aims to improve edge computing performance with cost-effective energy consumption. Simulation experiments show that our cyber-physical communication achieves better energy consumption and resource utilization compared with other cooling model.
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Men, Hong, Donglin Chen, Xiaoting Zhang, Jingjing Liu, and Ke Ning. "Data Fusion of Electronic Nose and Electronic Tongue for Detection of Mixed Edible-Oil." Journal of Sensors 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/840685.
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For the problem of the waste of the edible-oil in the food processing, on the premise of food security, they often need to add new edible-oil to the old frying oil which had been used in food processing to control the cost of the production. Due to the fact that the different additive proportion of the oil has different material and different volatile gases, we use fusion technology based on the electronic nose and electronic tongue to detect the blending ratio of the old frying oil and the new edible-oil in this paper. Principal component analysis (PCA) is used to distinguish the different proportion of the old frying oil and new edible-oil; on the other hand we use partial least squares (PLS) to predict the blending ratio of the old frying oil and new edible-oil. Two conclusions were proposed: data fusion of electronic nose and electronic tongue can be used to detect the blending ratio of the old frying oil and new edible-oil; in contrast to single used electronic nose or single used electronic tongue, the detection effect has increased by using data fusion of electronic nose and electronic tongue.
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Pawitradewi, Anak Agung Istri, and Made Gede Wirakusuma. "Pengaruh Kinerja Lingkungan, Umur Perusahaan dan Proporsi Dewan Komisaris Independen pada Pengungkapan Informasi Lingkungan." E-Jurnal Akuntansi 30, no. 3 (March 14, 2020): 598. http://dx.doi.org/10.24843/eja.2020.v30.i03.p04.
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This study aims to determine the effect of environmental performance, company age and the proportion of independent commissioners on disclosure of environmental information. Samples from this study were 24 companies where this sample was obtained using a purposive sampling method with the criteria of high profile companies listed on the IDX and registered as participants in the 2016-2018 PROPER. Research data processing was performed using multiple linear regression data analysis techniques. The results obtained after testing are environmental performance and the proportion of independent commissioners has a positive influence on the disclosure of environmental information. While the results of the study found from the relationship between the age of the company on the disclosure of environmental information is found no influence between the two variables.
Keywords: Environmental Performance; Company Age; Proportioni of Independent Commissioners; Environmental Disclosure.
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Wei, P., A. Li, M. Hou, L. Zhu, D. Xu, and B. Ning. "EQUAL PROPORTION REPRODUCTION METHOD OF GROTTO BASED ON POINT CLOUD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W15 (August 26, 2019): 1215–19. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w15-1215-2019.
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<p><strong>Abstract.</strong> The rapid development of 3D laser scanning and 3D printing technology provides new technologies and ideas for cultural relic protection and reproduction. Aiming at the requirement of equal proportional reproduction of large-scale grottoes, this paper takes the point cloud data of the 18th Cave of Yungang Grottoes obtained by 3D laser scanning as an example, and proposes a data processing and reproduction block partitioning method for equal proportion reproduction. The Cyclone, Geomagic and AutoCAD software were used to construct the 3D model of the grotto, and the 3D printing technology was used to realize the secondary design and model print. Among them, the research focuses on the modeling of massive point clouds and the method of model partitioning based on voxels. It can meet the requirements of movable and assembly while realizing the equal proportional reproduction of the whole grotto. The research results and application can be a good reference for the future grotto reproduction work.</p>
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Chen, Kai, Li Qing Fang, and Hong Kai Wang. "The Primary Processing of MEMS Devices and Applications Analysis." Advanced Materials Research 418-420 (December 2011): 2134–38. http://dx.doi.org/10.4028/www.scientific.net/amr.418-420.2134.
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This paper details the system of MEMS technology, focusing on analysis MEMS device processing and application status. Through the analysis of MEMS technology in the application of MEMS devices, MEMS devices described in the application of the status in modern life, while the survey data produced a MEMS device in the next few years the proportion of market share, and analyse the developments of MEMS devices and development trend.
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Haryanto, Desi Anis Anggraini, Miftachul Ulum, and Achmad Fiqhi Ibadillah. "Image Processing Based Aquaponics Monitoring System." JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) 5, no. 1 (March 28, 2021): 37–59. http://dx.doi.org/10.21070/jeeeu.v5i1.1220.
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Aquaponics means a culture that is very necessary to be applied, because in this system it is a combination of fish farming techniques as well as plant enlargement techniques by hydroponics. This research develops a smart aquaponics system that can control and increase the acidity level, air temperature, fish feed, and the installation of a camera to monitor fish development. In this system, there are sensors installed to retrieve data. Thus, air quality and circulation is well maintained. The results obtained from this study are to test an automatic feed system that runs well for each experiment, with an accurate proportion of 93.33%, and PH measurements that have been calibrated run well, the comparison of manual measurements using the PH meter measurement sensor gets the proportion 97, 83. for the meter Flow measurement results obtained a proportion of 91.02%, then for plant development every week got pretty good results, in the first week the plants grew 1cm after sowing, 3cm for the 2nd week, 7cm for the second week. -3. The results of measuring the weight of fish using image processing are not much different from manual measurements, the length of the fish is measured manually, it is 7 cm, and in the image it is 5.6 cm, the weight of manual fish is 11g, in the image it is 11.66g.
Keywords: Aquaponics; Camera; Android; image processing, flow.
Abstrak. Akuaponik merupakan suatu budaya yang sangat disarankan untuk diterapkan, karena pada sistem ini berupa kombinasi dari teknik budidaya ikan sekaligus teknik pembesaran tanaman dengan cara hidroponik. Penelitian ini merancang sistem akuaponik pintar yang bisa mengendalikan dan pantau tingkat keasaman, pakan ikan, dan pemasangan kamera untuk memantau perkembangan ikan. Dalam sistem ini, ada sensor yang dipasang untuk mengambil data,. Dengan demikian, kualitas dan sirkulasi air terjaga dengan baik. Hasil yang didapat dari penelitian ini yaitu untuk pengujian sistem pakan otomatis berjalan dengan cukup baik, dengan persentase keberhasilan 93.33 %, untuk pengukuran PH yang sudah terkalibrasi berjalan dengan baik, perbandingan pengukuran manual dengan pengukuran menggunakan sensor PH meter mendapatkan persentase keberhasilan 97.83% untuk hasil pengukuran sensor Flow meter didapatkan persentase keberhasilan sebesar 91.02%, selanjutnya untuk perkembangan tanaman setiap minggu mendapatkan hasil yang cukup baik, pada minggu pertama tanaman diperkirakan tumbuh 1cm setelah penyemaian, 3 cm untuk minggu ke-2, 7cm untuk minggu ke-3. Pengukuran berat ikan menggunakan Image processing mendapatkan hasil yang tidak jauh berbeda dengan pengukuran secara manual, panjang ikan yang diukur secara manual yaitu 7 cm, dan secara image yaitu 5.6 cm, berat ikan manual 11g, secara image 11.66g
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Huang, Weihua. "Research on the Revolution of Multidimensional Learning Space in the Big Data Environment." Complexity 2021 (May 18, 2021): 1–12. http://dx.doi.org/10.1155/2021/6583491.
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Multiuser fair sharing of clusters is a classic problem in cluster construction. However, the cluster computing system for hybrid big data applications has the characteristics of heterogeneous requirements, which makes more and more cluster resource managers support fine-grained multidimensional learning resource management. In this context, it is oriented to multiusers of multidimensional learning resources. Shared clusters have become a new topic. A single consideration of a fair-shared cluster will result in a huge waste of resources in the context of discrete and dynamic resource allocation. Fairness and efficiency of cluster resource sharing for multidimensional learning resources are equally important. This paper studies big data processing technology and representative systems and analyzes multidimensional analysis and performance optimization technology. This article discusses the importance of discrete multidimensional learning resource allocation optimization in dynamic scenarios. At the same time, in view of the fact that most of the resources of the big data application cluster system are supplied to large jobs that account for a small proportion of job submissions, while the small jobs that account for a large proportion only use the characteristics of a small part of the system’s resources, the expected residual multidimensionality of large-scale work is proposed. The server with the least learning resources is allocated first, and only fair strategies are considered for small assignments. The topic index is distributed and stored on the system to realize the parallel processing of search to improve the efficiency of search processing. The effectiveness of RDIBT is verified through experimental simulation. The results show that RDIBT has higher performance than LSII index technology in index creation speed and search response speed. In addition, RDIBT can also ensure the scalability of the index system.
Dissertations / Theses on the topic "Proportion – Data processing"
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Gwaze, Arnold Rumosa. "A cox proportional hazard model for mid-point imputed interval censored data." Thesis, University of Fort Hare, 2011. http://hdl.handle.net/10353/385.
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There has been an increasing interest in survival analysis with interval-censored data, where the event of interest (such as infection with a disease) is not observed exactly but only known to happen between two examination times. However, because so much research has been focused on right-censored data, so many statistical tests and techniques are available for right-censoring methods, hence interval-censoring methods are not as abundant as those for right-censored data. In this study, right-censoring methods are used to fit a proportional hazards model to some interval-censored data. Transformation of the interval-censored observations was done using a method called mid-point imputation, a method which assumes that an event occurs at some midpoint of its recorded interval. Results obtained gave conservative regression estimates but a comparison with the conventional methods showed that the estimates were not significantly different. However, the censoring mechanism and interval lengths should be given serious consideration before deciding on using mid-point imputation on interval-censored data.
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Bugnet, Henri. "Conception et test d'un circuit intégré (ASIC) : application aux chambres multifils et aux photomultiplicateurs de l'expérience GRAAL." Université Joseph Fourier (Grenoble), 1995. http://www.theses.fr/1995GRE10192.
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Le projet de physique nucleaire graal installe a grenoble aupres du synchrotron europeen (esrf), fournit un faisceau de photons etiquetes de haute energie (jusqu'a 1,5 gev). Ce faisceau, produit par retrodiffusion compton, est facilement polarisable et il permet de sonder d'une maniere originale la structure du nucleon. L'ensemble de detection associe comprend entre autres, des chambres a fils proportionnelles et des hodoscopes de scintillateurs. Un ensemble de six asic (application specific integrated circuit) a ete developpe, il assure le traitement des signaux des detecteurs et le conditionnement des donnees jusqu'au systeme d'acquisition. Cette electronique integree permet l'implantation des circuits directement sur les detecteurs. Les avantages evidents qui en decoulent sont une meilleure qualite des signaux et une fiabilite accrue, toutes deux dues a la reduction de la longueur et du nombre des connexions. Le wire processor (wp), asic concu et teste durant cette these, permet le traitement des signaux issus des fils de chambres ou des photomultiplicateurs. Le circuit comprend deux voies identiques qui permettent: l'amplification, la discrimination d'amplitude, la generation d'un retard programmable et l'ecriture dans une memoire deux etats, si la mise en coincidence avec un signal exterieur de validation a eue lieu. La mesure de l'efficacite d'une chambre a fils a permis de montrer le bon fonctionnement du wp, de l'electronique de conditionnement des donnees, du systeme d'acquisition et de la chambre elle meme
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Sherman, George Edward. "A model of an expert computer vision and recognition facility with applications of a proportion technique." 1985. http://hdl.handle.net/2097/27537.
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"Simple and effective dynamic provisioning for power-proportional data centers." 2012. http://library.cuhk.edu.hk/record=b5549189.
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数据中心在运转过程中需要消耗大量的电能。但是这其中的很大一部分电能都在工作负荷少时被空闲的服务器消耗了。动态供应技术通过在工作负荷少时，关掉不必要的服务器来节省这一部分的电能。在这篇文章中，我们研究未来工作负荷信息到底能给动态供应带来多大好处。特别地，对于有或没有未来工作负荷信息的两种情况，我们提出了在线的动态供应算法。我们首先发现了离线动态供应的最优解有一个很优美的结构，通过这个优美的结构我们可以以分而治之的方法完全确定离线动态供应的最优解。在这个基础之上我们设计了两个在线算法，它们的竞争比分别为2-α和e/(e - 1 + α),其中α表示标准化的预测未来窗口的长度。在这个预测未来窗口中，未来的工作负荷信息可以精确的获得。一个重要的发现是超出一个完整的预测未来窗口的未来工作负荷信息不会对动态供应的性能有任何提高。我们提出的在线算法是分散的，因此易于实现。最后，我们用真是数据中心的数据测试了我们的在线算法。在设计在线算法的时候，我们利用了未来工作负荷信息。这是因为在很多的现代系统中，短期的未来工作信息可以被精确的估计。我们也测试了我们的算法在有预测噪声时候的性能，结果表明我们的算法在有噪声时，也能很好的工作。我们相信利用未来信息是设计在线算法的一个新的角度。在传统的在线算法设计过程中，我们通常不考虑未来输入信息。在这种情况下，许多在线问题有简单的最优的算法，但是这个最优算法的竞争比却很大。其实未来输入信息在很多在线问题中都能在一定程度上被精确预测，所以我们相信我们可以利用这些未来输入信息去设计竞争比较小的在线算法，这样设计的在线算法具有更多的应用优点，并在理论上也给予我们启发。
Energy consumption represents a significant cost in data center operation. A large fraction of the energy however, is used to power idle servers when the workload is low. Dynamic provisioning techniques aim at saving this portion of the energy by turning of unnecessary servers. In this thesis we explore how much gain knowing future workload information can bring to dynamic pro-visioning. In particular we develop online dynamic provisioning solutions with and without future workload information available. We first reveal an elegant structure of the offline dynamic pro-visioning problem which allows us to characterize the optimal solution in a "divide-and-conquer" manner. We then exploit this insight to design two online algorithms with competitive ratios 2 - α and e/ (e - 1+ α), respectively where 0 ≤ α ≤ 1 is the normalized size of a look-ahead window in which future workload information is available. A fundamental observation is that future workload information beyond the full-size look-ahead window (corresponding to α =1) will not improve dynamic provisioning performance. Our algorithms are decentralized and easy to im-plement. We demonstrate their effectiveness in simulations using real-world traces.
When designing online algorithms, we utilize future input information because for many modern systems their short-term future inputs can be predicted by machine learning time-series analysis etc. We also test our algorithms in the presence of prediction errors in future workload information and the results show that our algorithms are robust to prediction errors. We believe that utilizing future information is a new and important degree of freedom in designing online algorithms. In traditional online algo¬rithm design future input information is not taken into account. Many online problems have online algorithms with optimal but large competitive ratios. Since future input information to some extent can be estimated accurately in many problems we believe that we should exploit such information in online algorithm design to achieve better competitive ratio and provide more competitive edge in both practice and theory.
Detailed summary in vernacular field only.
Detailed summary in vernacular field only.
Lu, Tan.
Thesis (M.Phil.)--Chinese University of Hong Kong, 2012.
Includes bibliographical references (leaves 76-81).
Abstracts also in Chinese.
Abstract --- p.i
Acknowledgement --- p.iv
Chapter 1 --- Introduction --- p.1
Chapter 1.1 --- Motivation --- p.1
Chapter 1.2 --- Contributions --- p.4
Chapter 1.3 --- Thesis Organization --- p.5
Chapter 2 --- Related Work --- p.6
Chapter 3 --- Problem Formulation --- p.10
Chapter 3.1 --- Settings and Models --- p.10
Chapter 3.2 --- Problem Formulation --- p.13
Chapter 4 --- Optimal Solution and Offline Algorithm --- p.15
Chapter 4.1 --- Structure of Optimal Solution --- p.15
Chapter 4.2 --- Intuitions and Observations --- p.17
Chapter 4.3 --- Offline Algorithm Achieving the Optimal Solution --- p.18
Chapter 5 --- Online Dynamic Provisioning --- p.21
Chapter 5.1 --- Dynamic Provisioning without FutureWorkload Information --- p.22
Chapter 5.2 --- Dynamic Provisioning with Future Workload Information --- p.23
Chapter 5.3 --- Adapting the Algorithms to Work with Discrete-Time Fluid Workload Model --- p.31
Chapter 5.4 --- Extending to Case Where Servers Have Setup Time --- p.32
Chapter 6 --- Experiments --- p.35
Chapter 6.1 --- Settings --- p.35
Chapter 6.2 --- Performance of the Proposed Online Algorithms --- p.38
Chapter 6.3 --- Impact of Prediction Error --- p.39
Chapter 6.4 --- Impact of Peak-to-Mean Ratio (PMR) --- p.40
Chapter 6.5 --- Discussion --- p.40
Chapter 6.6 --- Additional Experiments --- p.41
Chapter 7 --- A New Degree of Freedom for Designing Online Algorithm --- p.44
Chapter 7.1 --- The Lost Cow Problem --- p.45
Chapter 7.2 --- Secretary Problem without Future Information --- p.47
Chapter 7.3 --- Secretary Problem with Future Information --- p.48
Chapter 7.4 --- Summary --- p.50
Chapter 8 --- Conclusion --- p.51
Chapter A --- Proof --- p.54
Chapter A.1 --- Proof of Theorem 4.1.1 --- p.54
Chapter A.2 --- Proof of Theorem 4.3.1 --- p.57
Chapter A.3 --- Least idle vs last empty --- p.60
Chapter A.4 --- Proof of Theorem 5.2.2 --- p.61
Chapter A.5 --- Proof of Corollary 5.4.1 --- p.70
Chapter A.6 --- Proof of Lemma 7.1.1 --- p.72
Chapter A.7 --- Proof of Theorem 7.3.1 --- p.74
Bibliography --- p.76
Books on the topic "Proportion – Data processing"
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Eran, Neuman, ed. Performalism: Form and Performance in Digital Architecture. New York: Routledge, 2011.
Find full textBook chapters on the topic "Proportion – Data processing"
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Chuang, Kai-Hsiang, Frank Kober, and Min-Chi Ku. "Quantitative Analysis of Renal Perfusion by Arterial Spin Labeling." In Methods in Molecular Biology, 655–66. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0978-1_39.
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AbstractThe signal intensity differences measured by an arterial-spin-labelling (ASL) magnetic resonance imaging (MRI) experiment are proportional to the local perfusion, which can be quantified with kinetic modeling. Here we present a step-by-step tutorial for the data post-processing needed to calculate an ASL perfusion map. The process of developing an analysis software is described with the essential program code, which involves nonlinear fitting a tracer kinetic model to the ASL data. Key parameters for the quantification are the arterial transit time (ATT), which is the time the labeled blood takes to flow from the labeling area to the tissue, and the tissue T1. As ATT varies with vasculature, physiology, anesthesia and pathology, it is recommended to measure it using multiple delay times. The tutorial explains how to analyze ASL data with multiple delay times and a T1 map for quantification.This chapter is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers. This analysis protocol chapter is complemented by two separate chapters describing the basic concept and experimental procedure.
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Salazar, Addisson, Gonzalo Safont, Alberto Rodriguez, and Luis Vergara. "New Perspectives of Pattern Recognition for Automatic Credit Card Fraud Detection." In Encyclopedia of Information Science and Technology, Fourth Edition, 4937–50. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2255-3.ch428.
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Automatic credit card fraud detection (ACCFD) is a challenge issue that has been increasingly studied considering expanded potential of new technologies to emulate legitimate operations. Solution has to handle with fraud behavior changing in time; detection in data with very small fraud/legitimate operations ratio; and accomplish operation requirements of very low false alarm in real-time processing. In this chapter, main issues related with the problem of ACCFD and proposed solutions are discussed from theoretical and practical standpoints. The perspective of detection analyses from receiving operating characteristic curves and business key performance indicators are jointly analyzed. A new conceptual framework for ACCFD considering decision fusion and surrogate data is outlined including a case of study with different proportions of real and surrogate data. In addition, the sensitivity of the methods to different proportions of fraud/legitimate ratios is tested. Finally, theoretical and practical conclusions are provided as well as several open lines of research are proposed.
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Salazar, Addisson, Gonzalo Safont, Alberto Rodriguez, and Luis Vergara. "New Perspectives of Pattern Recognition for Automatic Credit Card Fraud Detection." In Advanced Methodologies and Technologies in System Security, Information Privacy, and Forensics, 268–83. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7492-7.ch022.
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Automatic credit card fraud detection (ACCFD) is a challenge issue that has been increasingly studied considering the expanded potential of new technologies to emulate legitimate operations. Solution has to handle changing fraud behavior, detection in data with very small fraud/legitimate operations ratio, and accomplish operation requirements of very low false alarm in real-time processing. In this chapter, main issues related with the problem of ACCFD and proposed solutions are discussed from theoretical and practical standpoints. The perspective of detection analyses from receiving operating characteristic curves and business key performance indicators are jointly analyzed. A new conceptual framework for ACCFD considering decision fusion and surrogate data is outlined including a case of study with different proportions of real and surrogate data. In addition, the sensitivity of the methods to different proportions of fraud/legitimate ratios is tested. Finally, theoretical and practical conclusions are provided, and several open lines of research are proposed.
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Verhagen, Wim J. C., and Thijs Oudkerk. "Use of Textual Elements to Improve Reliability Prediction for Aircraft Component Behavior." In Advances in Transdisciplinary Engineering. IOS Press, 2020. http://dx.doi.org/10.3233/atde200116.
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Unplanned maintenance is a costly factor in aircraft operations. Predictive maintenance models aim to provide greater insight into future component and system behaviour. In the state of the art, a variety of statistical models and machine learning techniques, amongst others, are used to estimate component remaining useful life. These approaches commonly leverage technical information, such as sensor data. However, the use of data and techniques from other domains is not prevalent. One such example is the application of natural language processing to incorporate textual information, e.g. derived from pilot complaint data. In other words, does the presence and specific content of pilot complaints have potential to improve the predictability of component removals? In this research, data integration and processing from multiple disciplines are combined to address this question. Relevant words from pilot complaints are identified using a term frequency–inverse document frequency (TF-IDF) numerical analysis, after which the most relevant words are used as covariates in a proportional hazards model. Left truncation and right censoring is applied to limit the time-invariant nature of these covariates. The results in the form of hazard ratios indicate a hazard increase of several orders of magnitude with respect to baseline hazard, pointing towards potential value of including these words as predictive parameters.
Conference papers on the topic "Proportion – Data processing"
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Xu, Jie, Jingyu Wang, Qi Qi, and Jianxin Liao. "Proportion Scheduler to Improve the Mismatched Locality in YARN." In 2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom). IEEE, 2018. http://dx.doi.org/10.1109/bdcloud.2018.00068.
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Grau Grau, Alfredo Juan, and Inmaculada Bel Oms. "Big Data in Corporate Governance decision." In CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics. Valencia: Universitat Politècnica de València, 2020. http://dx.doi.org/10.4995/carma2020.2020.11600.
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Progress in Big Data in recent years has grown exponentially, which hasallowed the detection and processing of a large amount of data. Until recently,this fact was unattainable by the lack of mechanization of the corporategovernance reports. This paper investigates the relationship betweencorporate governance decisions affect the indebtedness policies of 1,956industrial companies listed in Europe and the USA over the period 2016–2018(5,868 observations). To measure corporate governance decisions, we usedetailed information on the expertise of audit committees, the proportion ofindependent directors, board structures and women's presence on corporateboards. Our findings, which are based on a static panel data analysis, showthat there is a strong negative relationship between Audit Committeesexpertise and indebtedness level in European and North American companies.There are also evidence that European and American companies with a one-tier board structure and Audit Committees expertise are less likely to havelower level of indebtedness. Our results shed new light on corporategovernance in relation to the experience of audit committees and the influenceof their characteristics on indebtedness policy.
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Ramos Bacalhau, João Marcus, and Jussara F. Fardin. "Data Analysis and Preprocessing Method of Medium Voltage Distribution Network Feeders." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.968.
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The investment in the energy sector aims to ensure a continuous, reliable, and quality supply of electrical energy imposed by the electricity regulatory agency with maximum economic-financial balance. This paper discusses the challenges of processing data from medium voltage distribution feeders to use on the distribution network planning. The analysis of missing data and outliers is made on the three-phase voltage, current, and power factor of 459 time series of real feeders. Furthermore, it is proposed a method of preprocessing, and missing data imputation using the unbalanced characteristic between phases, interpolation, and the normalized scaled standard weekday curve. The results show that most missing data are three-phase, however, with a significant amount of single and dual-phase loss that can be filled by the proportion between phases. Hence, the challenge is to fill multiple weeks of missing three-phase data, and for that, it is proposed the use of the standard curve for each day of the week. The method proposed is a promising alternative for data imputation in medium-voltage feeders. The technique is tested using real feeder data degraded by its missing data probability function, and compared with the Naïve approach.
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Qi, Huimin. "Analysis on Integration Path of Urban and Rural Industries Based on Economic Data Model. A Case Study of Strategy Planning of Taiyuan Rural Revitalization." In 55th ISOCARP World Planning Congress, Beyond Metropolis, Jakarta-Bogor, Indonesia. ISOCARP, 2019. http://dx.doi.org/10.47472/jubr5968.
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In the background of ongoing urbanization in China and prominent “dualistic” contradiction between urban and rural areas, rural revitalization is extremely urgent. Currently, common problems concerning industry, ecology and humanities exist in rural areas. This paper attempts to figure out the causes for differences in industrial development in rural areas on the basis of macro data analysis and industrial spatial distribution. Given the lack of quantitative analysis of the relationship between urban and rural development and industrial structure, this paper adopts SPSS statistical software to conduct regression analysis on the statistical data of Taiyuan City in the past ten years. Based on the relationship between industrial proportion and urban-rural income ratio, this paper proposes how the adjustment of urban industrial structure promotes the industrial development in surrounding rural areas and the narrowing of urban-rural income gap. From the perspective of rural industry undertaking or complementation with urban industry, this paper then puts forward the idea of undertaking the transfer industry within the scope of ensuring the aggregation effect of the city center and the carrying capacity of the ecological environment, proposing an industrial development path from agriculture to processing industry and then to culture, tourism and recreation industry for the villages in Taiyuan.
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Némethová, Jana, and Filip Krajči. "Vinohradníctvo v Nitrianskom kraji." In XXIV. mezinárodního kolokvia o regionálních vědách. Brno: Masaryk University Press, 2021. http://dx.doi.org/10.5817/cz.muni.p210-9896-2021-72.
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Viniculture in the Nitra Region has a long-term tradition and represents a certain benefit for the economic development of the region. More than 45% of the area of Slovakia’s vineyards is located in the Nitra Region. The region is characterized by the highest number of viniculture municipalities, which represents more than 37% of the total number of viniculture municipalities of Slovakia. The aim of the paper was based on selected indicators (vineyard area, grape production and the proportion of vineyard area from agricultural land) to analyse the viniculture in the Nitra Region. We used several methods in processing the observed issues, such as method of analysis, historical-geographical, comparative, statistical and mathematical method. We interpreted the obtained statistical data graphically and cartographically. The territory of the Nitra Region intervenes 3 viniculture region - Nitra (Nitrianska), South-Slovakian (Južnoslovenská) and Central-Slovakian (Stredoslovenská). More than 65% is occupied by the Nitra wine region. Out of the total number of 354 municipalities in the Nitra Region, there are 271 viniculture municipalities, which belong to 18 viniculture districts. In the observed period of 2008-2019, the total area of vineyards decreased by about 30%, the area of nascent vineyards by more than 20% and grape production by about 17%. The highest share of vineyards from agricultural land, more than 6%, is achieved by viniculture municipalities in the south of the Nitra Region, in the southern part of the Nové Zámky district and in the south-eastern part of the Komárno district.
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Ali, Samr, and Nizar Bouguila. "On Maximum A Posteriori Approximation of Hidden Markov Models for Proportional Data." In 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP). IEEE, 2020. http://dx.doi.org/10.1109/mmsp48831.2020.9287112.
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Masoudimansour, Walid, and Nizar Bouguila. "Dirichlet Mixture Matching Projection for supervised linear dimensionality reduction of proportional data." In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. http://dx.doi.org/10.1109/icassp.2017.7952668.
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Masoudimansour, Walid, and Nizar Bouguila. "Generalized dirichlet mixture matching projection for supervised linear dimensionality reduction of proportional data." In 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP). IEEE, 2016. http://dx.doi.org/10.1109/mmsp.2016.7813403.
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Celemín, Alejandro, Diego A. Estupiñan, and Ricardo Nieto. "Model Comparison for Esp Run-Life Prediction: Classic Statistics Vs. Machine Learning." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206028-ms.
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Abstract Electrical Submersible Pumps reliability and run-life analysis has been extensively studied since its development. Current machine learning algorithms allow to correlate operational conditions to ESP run-life in order to generate predictions for active and new wells. Four machine learning models are compared to a linear proportional hazards model, used as a baseline for comparison purposes. Proper accuracy metrics for survival analysis problems are calculated on run-life predictions vs. actual values over training and validation data subsets. Results demonstrate that the baseline model is able to produce more consistent predictions with a slight reduction in its accuracy, compared to current machine learning models for small datasets. This study demonstrates that the quality of the date and it pre-processing supports the current shift from model-centric to data-centric approach to machine and deep learning problems.
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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." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-61376.
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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 towards bigger and more sophisticated systems. The other is towards 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 component and system levels in state-of-the-art information processing systems. The energy efficiency characteristics of computer-based information technologies are also compared to estimates of the energy efficiency of biological information processing in brains of mammals. Energy efficiencies of processors and systems are quantified in terms of the ratio of MIPS to exergy input rate. Available data suggest that for recent generations of processors, this ratio has been increasing proportional to the square root of processor speed. Despite this increase, the energy efficiency of computer-based systems is currently substantially below the estimated efficiency of biological systems. The data also suggest that unless processor energy efficiencies are greatly increased, the development of information processing systems that match human brain performance will be hindered by the need for large power supplies and high-capacity heat rejection systems.