A new method for tutorial gap identification towards students modeling

Das, Atanu; Deb, Kaustuv; Bajerjee, Sonali; Bag, Rajib

doi:10.18280/mmep.040203

Cited by 4 publications

(3 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The level-by-level frame identification is used to build N-tree to eliminate the free timeslot and improve the tag identification precision of the RFID system. [26] (2) The results from simulation experiments show that the proposed algorithm has minor ESR and TRD and features large throughput rate (87%), low label recognition delay and minimum timeslots, hence to be well applied in a large-scale logistics and other fields with fast information recognition involved.…”

Section: Discussionmentioning

confidence: 99%

RFID Anti-Collision Detection Algorithm Based on Improved Adaptive N-Tree

Zhou

2018

Int. J. Onl. Eng.

View full text Add to dashboard Cite

<p style="margin: 1em 0px;"><span style="font-family: Times New Roman; font-size: medium;">This paper proposes a type of improved adaptive N-tree anti-collision algorithm based on the traditional one for RFID system by combination with maximum likelihood estimation and probe pre-detection. This algorithm inherits some features from Alpha- and tree-based anti-collision algorithms and effectively restrain the star-vation of the two algorithms. It has also filled in the gaps of tag collision with higher probability. The study turns out that the improved adaptive N-tree anti-collision algorithm as proposed can feature adaptive choice of the value N of the tree, length breaks of free timeslots, restraints on defects such as more tag classification and higher collision probability just as what the traditional tree-based algorithm has. N-tree built by level-to-level frame identification eliminates the free timeslots, and improves the tag identification precision for the RFID system. The results from simulation experiment reveal that the algorithm proposed in this paper has lower Error Sampling Reckon (ESR) and Throughput Rate Deviation (TRD), and features large throughput rate (87%), low delay of tag recognition and minimum timeslots, and etc. hence to be better applied in large-scale logistics and other fields where fast information recognition is involved.</span></p>

show abstract

Section: Discussionmentioning

confidence: 99%

RFID Anti-Collision Detection Algorithm Based on Improved Adaptive N-Tree

Zhou

2018

Int. J. Onl. Eng.

View full text Add to dashboard Cite

show abstract

“…The most proper model should be selected against the flow physics, accuracy requirement, computing resources and simulation time. Since the RC DTH hammer drill bit was design with multiple ejectors, it is worthwhile to refer to the previous CFD simulations of ejector flow fields [18][19][20][21][22][23] before selecting the turbulence model. After long deliberation, the author selected the realisable k-ε model for the simulation.…”

Section: Solver Settingsmentioning

confidence: 99%

Effect of suction nozzle structure on reverse circulation performance of down-the-hole hammer drill bit

Zhao¹,

Li²,

Yin³

et al. 2017

IJHT

View full text Add to dashboard Cite

This paper aims to disclose the effect of suction nozzle structure on the RC suction capacity of DTH drill bit. For this purpose, three different types of suction nozzles were developed for the DTH drill bit. Then, the CFD software was adopted to simulate the fluid movement in a hole and the DTH drill bit. The results show that type three ranked first in terms of RC suction capacity, while type two came at the bottom. Then, the entrainment ratio was introduced to quantify the RC capacity. The results show that the RC capacity of type three is about 6 times of that of the other two types of nozzles. Our research opens up a new direction for future engineering practices.

show abstract

“…Tutorial gap (Das et al, 2017) measurement is done by using traditional way of numeric calculations.Inthistraditionalmethod,tutorialgapiscalculated,fromthescoreobtainedbyastudent intheevaluationprocess,byusingsomemathematicalformula.Thistraditionalwayoffindingtutorial gapproducesrigidnumericvalues,whichoftenmaybeunrealistic.Thisisbecauseonlynumerically calculatedvaluesdonotreflecttheactualscenariocorrectlyalways.Thisinappropriatemeasurement canberectifiedandblendedwiththerealisticandflexibleapproachprovidedbyfuzzylogic (Zadeh, 1965;Bose&Das,2015;Mitra&Das,2015).Thispaperfocusesontheapplicationoffuzzylogic tofindthetutorialgapbytakingtheadvantagesoffuzzylogicoverconventionalmethod.…”

Section: Introductionmentioning

confidence: 99%

Tutorial Gap Identification Towards Student Modeling Using Fuzzy Logic

Deb¹,

Banerjee²,

Das

et al. 2019

International Journal of Information and Communication Technology Education

Self Cite

View full text Add to dashboard Cite

Tutorial requirements of student modeling are traditionally identified by human tutors through crisp mental calculations, and the accuracy of this identification enhances with the experience of the tutor. These identifications become challenging when the mode of delivery is through e-learning. Automatic identification of tutorial requirements must be included in e-learning through ITS where some intelligent computational paradigms can help in automatic identification of the said requirements. This article proposes some fuzzy logic-based techniques toward the said purpose of automatic tutorial gap identification where analysis of the learner's responses to purposefully designed modular MCQ tests and verbal explanations are taken in to consideration as inputs for the purpose. Variation of the fuzzy logics was taken in to account to justify the usefulness of methods under consideration and to provide a realistic and adaptable approach. The experimental results show that the proposed methods are successful and efficient towards the said purpose.

show abstract

A new method for tutorial gap identification towards students modeling

Cited by 4 publications

References 4 publications

RFID Anti-Collision Detection Algorithm Based on Improved Adaptive N-Tree

RFID Anti-Collision Detection Algorithm Based on Improved Adaptive N-Tree

Effect of suction nozzle structure on reverse circulation performance of down-the-hole hammer drill bit

Tutorial Gap Identification Towards Student Modeling Using Fuzzy Logic

Contact Info

Product

Resources

About