Strategy of Fuzzy Approaches for Data Alignment

Singh, Shashi Pal; Kumar, Ajai; Singh, Lenali; Mishra, Apoorva; Sharma, Sanjeev

doi:10.1007/978-981-16-3802-2_25

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…It Functions by receiving signals from respected workstations which require materials for processing [9]. Tua Agutinus Tamba and her team developed an autonomous vehicle utilizing a vision-based sensors, laser range finder and sonar for navigation which functions by analyzing the kinematic equations for spin turn mechanism and providing a time varying feedback control to the system [10]. Pradnya T. Chauhan developed an unmanned autonomous forklift which uses LPC 2138, LCD, motor to operate and RF transceiver and different sensors such as position sensors and ultrasonic sensors for navigation [11].…”

Section: IImentioning

confidence: 99%

Design and Fabrication of Autonomous Forklift

Bhuvaneswari¹

2023

IJRASET

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Material handling is an important activity in factories that will be performed at a lower cost. The use of autonomous robots has the potential to reduce costs while also relieving humans of the physically demanding task of driving forklifts. This paper proposes a mechatronics design and implementation of an autonomous forklift.This paper takes a new look at autonomous forklifts in industrial settings. The proposed system employs advanced perception and control algorithms to enable unmanned operation in dynamic environments. The system employs a combination of sensors and motors to provide accurate situational awareness and obstacle avoidance. The proposed solution aims to increase work efficiency, enhance safety, and minimize the need for human intervention. The experimental results demonstrate that the system is capable of performing complex tasks such as pallet loading and unloading with precision and dependability. By increasing productivity, lowering costs, and improving workplace safety, the proposed model has the potential to have a significant impact on the material handling industry.

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Section: IImentioning

confidence: 99%

Design and Fabrication of Autonomous Forklift

Bhuvaneswari¹

2023

IJRASET

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Hybrid topic modeling method based on dirichlet multinomial mixture and fuzzy match algorithm for short text clustering

Alsmadi,

Alzaqebah,

Jawarneh

et al. 2024

J Big Data

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Topic modeling methods proved to be effective for inferring latent topics from short texts. Dealing with short texts is challenging yet helpful for many real-world applications, due to the sparse terms in the text and the high dimensionality representation. Most of the topic modeling methods require the number of topics to be defined earlier. Similarly, methods based on Dirichlet Multinomial Mixture (DMM) involve the maximum possible number of topics before execution which is hard to determine due to topic uncertainty, and many noises exist in the dataset. Hence, a new approach called the Topic Clustering algorithm based on Levenshtein Distance (TCLD) is introduced in this paper, TCLD combines DMM models and the Fuzzy matching algorithm to address two key challenges in topic modeling: (a) The outlier problem in topic modeling methods. (b) The problem of determining the optimal number of topics. TCLD uses the initial clustered topics generated by DMM models and then evaluates the semantic relationships between documents using Levenshtein Distance. Subsequently, it determines whether to keep the document in the same cluster, relocate it to another cluster, or mark it as an outlier. The results demonstrate the efficiency of the proposed approach across six English benchmark datasets, in comparison to seven topic modeling approaches, with 83% improvement in purity and 67% enhancement in Normalized Mutual Information (NMI) across all datasets. The proposed method was also applied to a collected Arabic tweet and the results showed that only 12% of the Arabic short texts were incorrectly clustered, according to human inspection.

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Strategy of Fuzzy Approaches for Data Alignment

Cited by 2 publications

References 3 publications

Design and Fabrication of Autonomous Forklift

Design and Fabrication of Autonomous Forklift

Hybrid topic modeling method based on dirichlet multinomial mixture and fuzzy match algorithm for short text clustering

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