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Process performance metrics
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The rest of this paper is organized as follows. Section II presents the proposed model the data pre-processing and model architecture. In Section III, we describe our experimental setup, the utilized performance metrics, our experimental results, and the comparison of our work with the change of the proposed protocol hyperparameters. Finally, in Section IV, we present our conclusion and future work.
7p
vispacex
16-11-2023
5
2
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Part 1 of ebook "Manager’s guide to operations management" provides readers with contents including: operations management - combining art, science, and good shoes; product design and process development - build it right and they will come; improving production processes - the best keeps getting better; quality and operations management - the journey without end; lean thinking (and doing); operations management as a system - supply chain—the tie that binds and creates value;...
130p
hanlinhchi
29-08-2023
5
4
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This paper presents a design of the two-stage op-amps (OPA) using 90nm process with functional verification and gain calculations. In order to improve stability, the compensation technique is added to OPA to improve performance metrics. According to simulation results, the designed OPA obtains a gain of 131dB with 60 degrees phase margin.
5p
vifalcon
16-05-2023
6
2
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This paper describes an approach for augmenting the traditional defense-in-depth (DID) qualitative approach with quantitative risk information from a plant-specific probabilistic risk assessment (PRA) in a way that is structured, can be applied on a consistent basis, and allows for clear acceptance criteria.
9p
vironald
15-12-2022
9
3
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Advanced Computer Networks: Lecture 2. This lecture will cover the following: multiplexing and statistical multiplexing; inter-process communication; IPC abstractions; abstract channel functionality; performance metrics; bandwidth versus latency; bandwidth requirements; protocol interfaces;...
26p
haoasakura
30-05-2022
12
3
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Advanced Computer Networks: Lecture 25. This lecture will cover the following: switched networks; switching strategies; statistical multiplexing; inter-process communication; performance metrics; network architecture; protocol graph – network architecture; protocol machinery;...
264p
haoasakura
30-05-2022
14
4
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Obtaining RNA-seq measurements involves a complex data analytical process with a large number of competing algorithms as options. There is much debate about which of these methods provides the best approach. Unfortunately, it is currently difficult to evaluate their performance due in part to a lack of sensitive assessment metrics.
12p
viaristotle
29-01-2022
5
0
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Single-cell RNA-sequencing (scRNAseq) and the set of attached analysis methods are evolving fast, with more than 560 software tools available to the community, roughly half of which are dedicated to tasks related to data processing such as clustering, ordering, dimension reduction, or normalization.
28p
viarchimedes
26-01-2022
10
0
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The Pima Indian diabetes database (PIDD) was obtained from the UCI repository used for analysis. In this research, three machine learning classification algorithms, correspondingly Logistic Regression, Decision Tree and Random Forest have been accomplished. The performances of all three algorithms are estimated on various metrics. The final process has shown that Random Forest has the most perceptible results out of three algorithms when all the attributes were applied.
9p
huyetthienthan
23-11-2021
10
0
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The potential utility of microRNA as biomarkers for early detection of cancer and other diseases is being investigated with genome-scale profiling of differentially expressed microRNA. Processes for measurement assurance are critical components of genome-scale measurements. Here, we evaluated the utility of a set of total RNA samples, designed with between-sample differences in the relative abundance of miRNAs, as process controls.
16p
vibeauty
23-10-2021
7
1
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This paper proposes a method of artifact reduction in compressed videos using dynamic texture map together with artifact maps and 3D - fuzzy filters. To preserve better details during filtering process, the authors introduce a novel method to construct a texture map for video sequences called dynamic texture map. Then, temporal arifacts such as flicker artifacts and mosquito artifacts are also estimated by advanced flicker maps and mosquito maps. These maps combined with fuzzy filters are applied to intraframe and interframe pixels to enhance compressed videos.
10p
trinhthamhodang9
10-12-2020
8
0
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This paper addresses the problem of blocking artifact characterization that is introduced when using low bit-rate JPEG compression. Specifically, a novel blocking metric is presented to characterize the distortion of JPEG blocking artifact when applied to document content. Furthermore, the proposed metric is directly processed in the transform domain without the need of fully decompressing the images, making its computation very time-efficient. Correlation of the proposed metric to OCR performance is validated through our experiments.
11p
cothumenhmong8
05-11-2020
22
2
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The response surface methodology is utilized as a common approximation model to fit the relationship between responses and design variables in the worst-case scenario of uncertainties. The target mean ratio ߙ is applied to ensure the quality of the process by providing the robustness for all types of quality characteristics and with a trade-off between variability and deviance from the ideal point. The Lp metric method is used to integrate all objectives in one overall function.
16p
toritori
11-05-2020
15
3
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This paper qualifies what a true termrecognition systems would have to recognize. The exact bracketing of the maximal termform is then proposed as an achieveable goal upon which current system performance should be measured. How recall and precision metrics are best adapted for measuring term recognition is suggested. derlying premises should be made clear. Firstly, the automatic system is designed to recognize segments of text that, conventionally, have been manually identified by a terminologist, indexer, lexicographer or other trained individual.
6p
buncha_1
08-05-2013
35
1
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It is not always clear how the differences in intrinsic evaluation metrics for a parser or classifier will affect the performance of the system that uses it. We investigate the relationship between the intrinsic evaluation scores of an interpretation component in a tutorial dialogue system and the learning outcomes in an experiment with human users. Following the PARADISE methodology, we use multiple linear regression to build predictive models of learning gain, an important objective outcome metric in tutorial dialogue.
11p
bunthai_1
06-05-2013
43
2
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Natural language generation (NLG) systems are notoriously hard to evaluate. On the one hand, simply comparing system outputs to a gold standard is not appropriate because there can be multiple generated outputs that are equally good, and finding metrics that account for this variability and produce results consistent with human judgments and task performance measures is difficult (Belz and Gatt, 2008; Stent et al., 2005; Foster, 2008). On the other hand, lab-based evaluations with human subjects to assess each aspect of the system’s functionality are expensive and time-consuming. ...
4p
bunthai_1
06-05-2013
55
2
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This paper addresses the problem of extracting the most important facts from a news article. Our approach uses syntactic, semantic, and general statistical features to identify the most important sentences in a document. The importance of the individual features is estimated using generalized iterative scaling methods trained on an annotated newswire corpus.
9p
bunthai_1
06-05-2013
29
1
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The relevance of context in disambiguating natural language input has been widely acknowledged in the literature. However, most attempts at formalising the intuitive notion of context tend to treat the word and its context symmetrically. We demonstrate here that traditional measures such as mutual information score are likely to overlook a significant fraction of all co-occurrence phenomena in natural language. We also propose metrics for measuring directed lexical influence and compare performances.
3p
bunmoc_1
20-04-2013
32
2
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When failures occur, the fail over process moves processing performed by the failed component to the backup component. This process remasters systemwide resources, recovers partial or failed transactions, and restores the system to normal, preferably within a matter of microseconds. The more transparent that fail over is to users, the higher the availability of the system. Oracle has a number of products and features that provide high availability in cases of unplanned downtime or planned downtime.
294p
nhacsihuytuan
13-04-2013
76
5
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These results have implications for investors that integrate environmental and social data in their investment decision making process. Given recent evidence that investors across both buy-side (e.g., money managers, hedge funds, insurance companies, pension funds) and sell-side companies are paying attention to environmental and social performance metrics and disclosure (Eccles, Krzus, and Serafeim, 2011), evidence about the performance consequences of a culture of sustainability are particularly relevant. The remainder of the paper is as follows.
73p
bi_ve_sau
05-02-2013
41
4
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