Improving Data and Model Quality in Crowdsourcing using Co-Training-based Noise Correction

Abstract: The quality of madrasah education needs to get serious attention both from process aspect and its result. The quality of madrasah education is also influenced by the family and community environment. This brings with it the need for a review and mapping of the quality management model of education in Madrasah Ibtidaiyah. The Madrasah Ibtidaiyah of Purwokerto and MI Ma'arif Pageraji Purwokerto were chosen to be the subject of this study with the consideration that the school has a good quality management system. This study aims to find the typology of quality management education in MI that is effective so that it can be replicated. Based on the findings of the data, it can be concluded as follows: (1) Quality planning conducted in MIN and MI Ma’arif pageraji Purwokerto through (a) improvement of teacher competence, through OJT activity (on the job trainning), (b) teacher. (c) Development of natural competence matrix. (d) Parent and community cooperation in establishing some madrasah programs. (2) Quality control system conducted in MIN and MI Ma’arif pageraji Purwokerto done through supervision activities. (3) Quality assurance conducted in MIN and MI Ma’arif pageraji Purwokerto done internally by madrasah and audited through accreditation activities run by the accreditation bodies of madrasah or other institutions externally. Keywords: Management model, quality of madrasah.

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Estimation and Analysis of Higher-Order Harmonics in Advanced Integrated Circuits to Implement Noise-Free Future-Generation Micro- and Nanoelectromechanical Systems

Micromachines ◽

10.3390/mi12050541 ◽

2021 ◽

Vol 12 (5) ◽

pp. 541

Author(s):

Muhammad Imran Khan ◽

Ahmed S. Alshammari ◽

Badr M. Alshammari ◽

Ahmed A. Alzamil

Keyword(s):

Integrated Circuits ◽

Frequency Band ◽

Future Generation ◽

Higher Order ◽

Nanoelectromechanical Systems ◽

Model Quality ◽

Flip Flop ◽

Transistor Model ◽

Spectrum Generation ◽

Time Fall

This work deals with the analysis of spectrum generation from advanced integrated circuits in order to better understand how to suppress the generation of high harmonics, especially in a given frequency band, to design and implement noise-free systems. At higher frequencies, the spectral components of signals with sharp edges contain more energy. However, current closed-form expressions have become increasingly unwieldy to compute higher-order harmonics. The study of spectrum generation provides an insight into suppressing higher-order harmonics (10th order and above), especially in a given frequency band. In this work, we discussed the influence of transistor model quality and input signal on estimates of the harmonic contents of switching waveforms. Accurate estimates of harmonic contents are essential in the design of highly integrated micro- and nanoelectromechanical systems. This paper provides a comparative analysis of various flip-flop/latch topologies on different process technologies, i.e., 130 and 65 nm. An FFT plot of the simulated results signifies that the steeper the spectrum roll-off, the lesser the content of higher-order harmonics. Furthermore, the results of the comparison illustrate the improvement in the rise time, fall time, clock-Q delay and spectrum roll-off on the better selection of slow-changing input signals and more accurate transistor models.

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Terpenoid Biosynthesis Dominates among Secondary Metabolite Clusters in Mucoromycotina Genomes

Journal of Fungi ◽

10.3390/jof7040285 ◽

2021 ◽

Vol 7 (4) ◽

pp. 285

Author(s):

Grzegorz Koczyk ◽

Julia Pawłowska ◽

Anna Muszewska

Keyword(s):

Secondary Metabolites ◽

Growth Promotion ◽

Iron Chelation ◽

Biological Traits ◽

Terpenoid Biosynthesis ◽

Gene Model ◽

Model Quality ◽

The Core ◽

Domain Composition ◽

Peptide Synthetase

Early-diverging fungi harbour unprecedented diversity in terms of living forms, biological traits and genome architecture. Before the sequencing era, non-Dikarya fungi were considered unable to produce secondary metabolites (SM); however, this perspective is changing. The main classes of secondary metabolites in fungi include polyketides, nonribosomal peptides, terpenoids and siderophores that serve different biological roles, including iron chelation and plant growth promotion. The same classes of SM are reported for representatives of early-diverging fungal lineages. Encouraged by the advancement in the field, we carried out a systematic survey of SM in Mucoromycotina and corroborated the presence of various SM clusters (SMCs) within the phylum. Among the core findings, considerable representation of terpene and nonribosomal peptide synthetase (NRPS)-like candidate SMCs was found. Terpene clusters with diverse domain composition and potentially highly variable products dominated the landscape of candidate SMCs. A uniform low-copy distribution of siderophore clusters was observed among most assemblies. Mortierellomycotina are highlighted as the most potent SMC producers among the Mucoromycota and as a source of novel peptide products. SMC identification is dependent on gene model quality and can be successfully performed on a batch scale with genomes of different quality and completeness.

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Embedding non-linear filtering in autonomous underwater vehicle dynamics via the Kolmogorov backward equation

Transactions of the Institute of Measurement and Control ◽

10.1177/01423312211019662 ◽

2021 ◽

pp. 014233122110196

Author(s):

Ravish H. Hirpara ◽

Shambhu N. Sharma

Keyword(s):

State Vector ◽

Autonomous Underwater Vehicle ◽

Underwater Vehicle ◽

Linear Filtering ◽

Homogeneous Markov Process ◽

Non Linear ◽

Backward Equation ◽

Noise Correction ◽

Ito Process ◽

Correction Terms

This paper revisits the state vector of an autonomous underwater vehicle (AUV) dynamics coupled with the underwater Markovian stochasticity in the ‘non-linear filtering’ context. The underwater stochasticity is attributed to atmospheric turbulence, planetary interactions, sea surface conditions and astronomical phenomena. In this paper, we adopt the Itô process, a homogeneous Markov process, to describe the AUV state vector evolution equation. This paper accounts for the process noise as well as observation noise correction terms by considering the underwater filtering model. The non-linear filtering of the paper is achieved using the Kolmogorov backward equation and the evolution of the conditional characteristic function. The non-linear filtering equation is the cornerstone formalism of stochastic optimal control systems. Most notably, this paper introduces the non-linear filtering theory into an underwater vehicle stochastic system by constructing a lemma and a theorem for the underwater vehicle stochastic differential equation that were not available in the literature.

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Correlations between deep neural network model coverage criteria and model quality

Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering ◽

10.1145/3368089.3409671 ◽

2020 ◽

Author(s):

Shenao Yan ◽

Guanhong Tao ◽

Xuwei Liu ◽

Juan Zhai ◽

Shiqing Ma ◽

...

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Deep Neural Network ◽

Model Quality ◽

Coverage Criteria

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A COMPARISON OF STRUCTURED LIGHT SCANNING AND PHOTOGRAMMETRY FOR THE DIGITISATION OF PHYSICAL PROTOTYPES

Proceedings of the Design Society ◽

10.1017/pds.2021.2 ◽

2021 ◽

Vol 1 ◽

pp. 11-20

Author(s):

Owen Freeman Gebler ◽

Mark Goudswaard ◽

Ben Hicks ◽

David Jones ◽

Aydin Nassehi ◽

...

Keyword(s):

Early Stage ◽

Structured Light ◽

Superior Performance ◽

Specific Design ◽

Model Quality ◽

Stage Design ◽

Design Changes ◽

Structured Light Scanning ◽

Early Stage Design

AbstractPhysical prototyping during early stage design typically represents an iterative process. Commonly, a single prototype will be used throughout the process, with its form being modified as the design evolves. If the form of the prototype is not captured as each iteration occurs understanding how specific design changes impact upon the satisfaction of requirements is challenging, particularly retrospectively.In this paper two different systems for digitising physical artefacts, structured light scanning (SLS) and photogrammetry (PG), are investigated as means for capturing iterations of physical prototypes. First, a series of test artefacts are presented and procedures for operating each system are developed. Next, artefacts are digitised using both SLS and PG and resulting models are compared against a master model of each artefact. Results indicate that both systems are able to reconstruct the majority of each artefact's geometry within 0.1mm of the master, however, overall SLS demonstrated superior performance, both in terms of completion time and model quality. Additionally, the quality of PG models was far more influenced by the effort and expertise of the user compared to SLS.

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