scholarly journals STUDY ON PREDICTION METHOD OF HEAVY-TYPE FLOOR IMPACT SOUND BY DIFFUSION INDEX METHOD : Part 1 Improvement of estimation accuracy on diffusion index

2003 ◽  
Vol 68 (571) ◽  
pp. 9-15 ◽  
Author(s):  
Norihisa HASIHMOTO
Keyword(s):  
Prediction Method ◽  
Estimation Accuracy ◽  
Index Method ◽  
Diffusion Index

scholarly journals Novel Practical Life Cycle Prediction Method by Entropy Estimation of Li-Ion Battery

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 487
Author(s):  
Tae-Kue Kim ◽  
Sung-Chun Moon
Keyword(s):  
Lithium Ion Batteries ◽  
Prediction Method ◽  
Lithium Ion ◽  
Estimation Accuracy ◽  
Battery Life ◽  
Energy Storage Devices ◽  
Storage Devices ◽  
Basic Law ◽  
Life Problems ◽  
Li Ion

The growth of the lithium-ion battery market is accelerating. Although they are widely used in various fields, ranging from mobile devices to large-capacity energy storage devices, stability has always been a problem, which is a critical disadvantage of lithium-ion batteries. If the battery is unstable, which usually occurs at the end of its life, problems such as overheating and overcurrent during charge-discharge increase. In this paper, we propose a method to accurately predict battery life in order to secure battery stability. Unlike the existing methods, we propose a method of assessing the life of a battery by estimating the irreversible energy from the basic law of entropy using voltage, current, and time in a realistic dimension. The life estimation accuracy using the proposed method was at least 91.6%, and the accuracy was higher than 94% when considering the actual used range. The experimental results proved that the proposed method is a practical and effective method for estimating the life of lithium-ion batteries.

The Annual Balance of North Cascade Glaciers, Washington, U.S.A., Measured and Predicted Using An Activity-Index Method

1988 ◽  
Vol 34 (117) ◽  
pp. 194-199 ◽  
Author(s):  
Mauri S. Pelto
Keyword(s):  
Mass Balance ◽  
Activity Index ◽  
Prediction Method ◽  
Climatic Conditions ◽  
Area Ratio ◽  
Index Method ◽  
The North ◽  
Snow Line ◽  
Accumulation Area Ratio ◽  
Annual Balance

AbstractThe annual balance has been measured for ten North Cascade glaciers in 1983–84, 1984–85, 1985–86, and 1986–87 (1984, 1985, 1986, and 1987). Based on these data, an annual balance prediction method was designed and tested. Comparison of measured versus predicted annual balances indicates an accuracy of ±0.22–0.30 m. The method is based on annual measurement of the accumulation area ratio (AAR), and determination of the perennially constant activity index and area-altitude distribution on each glacier. The accumulation area ratio is determined from aerial and ground photographs at the end of the ablation season. The activity index is identified from observation of the rise of the snow line with time, compared to measured snow depths above the snow line. The AAR-activity index method was used to calculate the annual balance of 47 North Cascade glaciers in 1984, 1985, 1986, and 1987. The mean balance during the 4 year period was —0.33 m.From the mass-balance records, it is apparent that North Cascade glaciers can be divided into six climatic sensitivity groups. Each glacier type responds differently to specific climatic conditions. The mass-balance variation for glaciers of the same type is small.Since 1977, warmer, drier climatic conditions have prevailed in the North Cascades, resulting in the retreat of 42 of the 47 glaciers examined.

scholarly journals Improving Performance Estimation for Design Space Exploration for Convolutional Neural Network Accelerators

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 520
Author(s):  
Martin Ferianc ◽  
Hongxiang Fan ◽  
Divyansh Manocha ◽  
Hongyu Zhou ◽  
Shuanglong Liu ◽  
...  
Keyword(s):  
Neural Networks ◽  
Language Processing ◽  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Prediction Method ◽  
Gaussian Process Regression ◽  
Performance Estimation ◽  
Estimation Accuracy ◽  
Accurate Estimation

Contemporary advances in neural networks (NNs) have demonstrated their potential in different applications such as in image classification, object detection or natural language processing. In particular, reconfigurable accelerators have been widely used for the acceleration of NNs due to their reconfigurability and efficiency in specific application instances. To determine the configuration of the accelerator, it is necessary to conduct design space exploration to optimize the performance. However, the process of design space exploration is time consuming because of the slow performance evaluation for different configurations. Therefore, there is a demand for an accurate and fast performance prediction method to speed up design space exploration. This work introduces a novel method for fast and accurate estimation of different metrics that are of importance when performing design space exploration. The method is based on a Gaussian process regression model parametrised by the features of the accelerator and the target NN to be accelerated. We evaluate the proposed method together with other popular machine learning based methods in estimating the latency and energy consumption of our implemented accelerator on two different hardware platforms targeting convolutional neural networks. We demonstrate improvements in estimation accuracy, without the need for significant implementation effort or tuning.

scholarly journals The Annual Balance of North Cascade Glaciers, Washington, U.S.A., Measured and Predicted Using An Activity-Index Method

1988 ◽  
Vol 34 (117) ◽  
pp. 194-199 ◽  
Author(s):  
Mauri S. Pelto
Keyword(s):  
Mass Balance ◽  
Activity Index ◽  
Prediction Method ◽  
Climatic Conditions ◽  
Area Ratio ◽  
Index Method ◽  
The North ◽  
Snow Line ◽  
Accumulation Area Ratio ◽  
Annual Balance

AbstractThe annual balance has been measured for ten North Cascade glaciers in 1983–84, 1984–85, 1985–86, and 1986–87 (1984, 1985, 1986, and 1987). Based on these data, an annual balance prediction method was designed and tested. Comparison of measured versus predicted annual balances indicates an accuracy of ±0.22–0.30 m. The method is based on annual measurement of the accumulation area ratio (AAR), and determination of the perennially constant activity index and area-altitude distribution on each glacier. The accumulation area ratio is determined from aerial and ground photographs at the end of the ablation season. The activity index is identified from observation of the rise of the snow line with time, compared to measured snow depths above the snow line. The AAR-activity index method was used to calculate the annual balance of 47 North Cascade glaciers in 1984, 1985, 1986, and 1987. The mean balance during the 4 year period was —0.33 m.From the mass-balance records, it is apparent that North Cascade glaciers can be divided into six climatic sensitivity groups. Each glacier type responds differently to specific climatic conditions. The mass-balance variation for glaciers of the same type is small.Since 1977, warmer, drier climatic conditions have prevailed in the North Cascades, resulting in the retreat of 42 of the 47 glaciers examined.

scholarly journals A New Method of Flutter Boundary Prediction for Progressive Variable Speed Based on EM-KS Algorithm

2019 ◽  
Vol 37 (6) ◽  
pp. 1231-1237
Author(s):  
Junhao Liu ◽  
Hua Zheng ◽  
Shiqiang Duan ◽  
Chengming Pei
Keyword(s):  
Expectation Maximization ◽  
Prediction Method ◽  
Measured Data ◽  
New Method ◽  
Estimation Accuracy ◽  
Time Varying ◽  
Variable Speed ◽  
Smoothing Filter ◽  
Time Varying Parameter ◽  
Flutter Boundary

The flutter test with progression variable speed is actively explored in recent years. This paper proposes an improved Kalman smoothing filter (EM-KS) algorithm based on expectation maximization for the non-stationary characteristics of the signal in this type of experiment, which can effectively improve the estimation accuracy of time-varying parameter modeling. Combining with the flutter time domain criterion, a new method for flutter boundary prediction of flutter test with progression variable speed that can be recursively implemented is given. Finally, the reliability and engineering applicability of this method are validated by numerical simulation and measured data. The results show that the flutter boundary prediction method based on EM-KS does not depend on the assumption of stationary stochastic process, and the accuracy can meet the actual engineering needs.

scholarly journals Quality Index Method for Freshness Assessment of Chilled Japanese Flying Squid (Todarodes pacificus)

2021 ◽  
pp. 110-121
Author(s):  
Nga T. T. Mai
Keyword(s):  
Shelf Life ◽  
Low Temperatures ◽  
Quality Index ◽  
Storage Time ◽  
Partial Least Square ◽  
Least Square ◽  
Estimation Accuracy ◽  
Control Methods ◽  
Index Method ◽  
Todarodes Pacificus

Aims: To develop and apply a quality index method (QIM) scheme for evaluating the freshness and estimating the shelf life of raw whole Japanese flying squid (Todarodes pacificus) stored at low temperatures. Study design: A QIM scheme was developed through pre-observation and formation of a preliminary scheme, finalization of the protocol and training of judges. The scheme was then applied to evaluate the freshness of squid in comparison with control methods, which were quantitative descriptive analysis (QDA), Torry scoring, and total viable count (TVC) determination. Place and duration of study: Nha Trang University, Vietnam, between February and June 2012; and from November 2019 to January 2020. Methodology: A total of 399 Japanese flying squids (Todarodes pacificus) of 50-70 g stored at 0-2°C were used in the study. Seven judges engaged in the QIM establishment and application. Control methods were QDA, Torry and TVC check. Principle component analysis (PCA) was used for studying the dataset main variance. Partial least square regression (PLS-R) was carried out to evaluate the possibility to predict storage time of the developed QIM scheme. Results: The formulated QIM scheme for Japanese flying squid stored at low temperatures composed of 8 parameters, which are odour, eyes, skin pigment, skin elasticity, body shape, body texture, ink sac integrity, and head-body connection, forming a quality index (QI) range of 0-15. The PLS-R showed that the developed QIM protocol could give a shelf life estimation accuracy of ± 1.0 day if 7 squids from each batch were evaluated. The PCA showed that QDA parameters clustered into good and bad attribute groups, which characterised flesh and old/spoilt squid, respectively. QDA, Torry and TVC results revealed a maximal squid shelf life of 12 days at 0-2 °C. Conclusion: The QIM scheme for chilled Japanese flying squid (Todarodes pacificus) could be used to estimate the remaining shelf life of the product with the precision of ± 1.0 day, using at least 7 squids of the same storage time for assessment. Squid exhibited a shelf life of 12 days at 0-2 °C.

Detecting Random Responses in a Personality Scale Using IRT-Based Person-Fit Indices

2019 ◽  
Vol 35 (1) ◽  
pp. 126-136 ◽  
Author(s):  
Tour Liu ◽  
Tian Lan ◽  
Tao Xin
Keyword(s):  
Experimental System ◽  
Real Data ◽  
Fit Indices ◽  
Random Response ◽  
Person Fit ◽  
Index Method ◽  
Single Person ◽  
Person Fit Index ◽  
Random Responses ◽  
Response Behaviors

Abstract. Random response is a very common aberrant response behavior in personality tests and may negatively affect the reliability, validity, or other analytical aspects of psychological assessment. Typically, researchers use a single person-fit index to identify random responses. This study recommends a three-step person-fit analysis procedure. Unlike the typical single person-fit methods, the three-step procedure identifies both global misfit and local misfit individuals using different person-fit indices. This procedure was able to identify more local misfit individuals than single-index method, and a graphical method was used to visualize those particular items in which random response behaviors appear. This method may be useful to researchers in that it will provide them with more information about response behaviors, allowing better evaluation of scale administration and development of more plausible explanations. Real data were used in this study instead of simulation data. In order to create real random responses, an experimental test administration was designed. Four different random response samples were produced using this experimental system.

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