A MEMS random error analysis method fused with genetic algorithm

2018 ◽  
Author(s):  
Duanyang Gao ◽  
An Li ◽  
Jun Fu ◽  
Ruichen Zhang
Keyword(s):  
Genetic Algorithm ◽  
Error Analysis ◽  
Random Error ◽  
Analysis Method

scholarly journals Random Error Reduction Scheme for Combinational Stochastic Circuit

2017 ◽  
Vol 2017 ◽  
pp. 1-14
Author(s):  
Ye Cheng ◽  
Jianhao Hu
Keyword(s):  
Error Analysis ◽  
Case Studies ◽  
Random Error ◽  
Error Reduction ◽  
Analysis Method ◽  
Reduction Scheme ◽  
Computational Accuracy ◽  
Simulation Results ◽  
Stochastic Circuits

In conventional stochastic computation, all the input streams are Bernoulli sequences (BSs), which may result in large random error. To reduce random error and improve computational accuracy, some other sequences have been reported as alternatives to BSs. However, these sequences only apply to the specific stochastic circuits, have difficulties in hardware generation, or have length constraints. To this end, new sequences without these disadvantages should be considered. This paper proposes the random error analysis method for stochastic computation based on autocorrelation sequence (AS), which is more general than the conventional one based on BS. The analysis results show that we can use the proper ASs as input streams of stochastic circuits to reduce random error. On the basis of that conclusion, we propose the random error reduction scheme based on maximal concentrated autocorrelation sequence (MCAS) and BS, both of which are ASs. MCAS and BS are applicable to any combinational stochastic circuit, are easily generated by hardware, and have no length constraints, which avoid the disadvantages of sequences in the previous work. Moreover, we apply the proposed random error reduction scheme into several typical stochastic circuits as case studies. The simulation results confirm the effectiveness of the proposed scheme.

Evaluation of WISC Similarities Responses According to Cognitive Style and Error Analysis: A Comparative Study

1970 ◽  
Vol 26 (1) ◽  
pp. 175-180 ◽  
Author(s):  
Leon P. Hall ◽  
M. La Verne La Driere
Keyword(s):  
Error Analysis ◽  
Cognitive Style ◽  
Emotionally Disturbed ◽  
School Setting ◽  
Chronological Age ◽  
Matched Pairs ◽  
Analysis Method ◽  
Neurologically Impaired ◽  
Diagnostic Power ◽  
Definition Of

80 emotionally disturbed and 80 neurologically impaired boys in a public school setting were matched for WISC Full Scale IQ and chronological age. An analysis was made of the Similarities subtest responses utilizing both the error-analysis method of Spence and the cognitive style procedure of Sigel for purposes of comparison. The Wilcoxon matched-pairs signed-ranks technique was used in analyzing the data. The results were as follows: (1) the error analysis approach provided the greater potential for differential diagnosis between the two groups under consideration; (2) use of the cognitive style scores permitted improved definition of the dynamic implications of the error-analysis categories, inadequate abstracting and narrative-descriptive responses; (3) diagnostic power was not increased when all responses as opposed to errors alone were considered.

scholarly journals Validation of Sea Surface Temperature from GCOM-C Satellite Using iQuam Datasets and MUR-SST in Indonesian Waters

2021 ◽  
Vol 53 (1) ◽  
Author(s):  
Bambang Sukresno ◽  
Dinarika Jatisworo ◽  
Rizki Hanintyo
Keyword(s):  
High Resolution ◽  
Error Analysis ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Important Variable ◽  
Sea Surface ◽  
Analysis Method ◽  
Validation Process ◽  
Indonesian Seas

Sea surface temperature (SST) is an important variable in oceanography. One of the SST data can be obtained from the Global Observation Mission-Climate (GCOM-C) satellite. Therefore, this data needs to be validated before being applied in various fields. This study aimed to validate SST data from the GCOM-C satellite in the Indonesian Seas. Validation was performed using the data of Multi-sensor Ultra-high Resolution sea surface temperature (MUR-SST) and in situ sea surface temperature Quality Monitor (iQuam). The data used are the daily GCOM-C SST dataset from January to December 2018, as well as the daily dataset from MUR-SST and iQuam in the same period. The validation process was carried out using the three-way error analysis method. The results showed that the accuracy of the GCOM-C SST was 0.37oC.

scholarly journals ANALISIS KESALAHAN PENGGUNAAN KATA BANTU 的 [DE] DAN 得 [DÉ] DALAM PEMBELAJARAN BAHASA MANDARIN KELAS XI SMA ISLAM ATHIRAH 1 MAKASSAR

2020 ◽  
Vol 1 (2) ◽  
pp. 159
Author(s):  
Elmira Elmira ◽  
Misnawaty Usman ◽  
Burhanuddin Burhanuddin
Keyword(s):  
Data Analysis ◽  
Error Analysis ◽  
Analytical Method ◽  
Analysis Method

Abstract. This study aims to classify the types of errors made by students of class X1 SMA Islam Athirah 1 Makassar in the use of的 [de] (belonging/that) and得[dé] (adverb) auxiliary words in Mandarin. The analytical method  is  used the error analysis method proposed by Ellis in Tarigan (1984). The results of the data analysis showed that there were 170 errors in the students' use of 的 [de] (belonging / that)  and  得[dé] (adverb) auxiliary words. There were 111 errors in the use of the的 [de] (belonging / that)   auxiliary words (65.29%), which were in the sufficient error category and the error in the use of the得[dé] (adverb)  auxiliary word, namely as many as 59 errors  (34.71%) which were in the level of error in the category less The error in using the auxiliary的 [de] (belonging / that) which / belongs is in the sufficient with 111 errors (65.29% ). The error in using the auxiliary word 得 [dé] (adverb) is in the less with  59 errors (34.71%).

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