JADETraderPal – JADE mobile agent embedded with flexible negotiation strategies for dynamic e-commerce environments

Haleema, P.K.; Iyengar, N. Ch. S. N.

doi:10.1016/j.jksuci.2017.11.006

Cited by 3 publications

(1 citation statement)

References 25 publications

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“…The difficulty of allocating and reusing software due to the absence of unified knowledge excellence is one of the main factors in completing these kinds of tasks [32]. It has been suggested in [33][34][35] that MAS provides an efficient approach for handling temporal tasks with minimal human intervention.…”

Section: Related Workmentioning

confidence: 99%

Prioritization of Exigency Services in Multi-Agent Transportation Systems

Fakhir,

Qasim,

Hussain

et al. 2023

VFAST trans. softw. eng.

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Multi-agent system helps in achieving a single global goal by working on different tasks in a distributed environment. This research presents a new framework for handling the prioritization of exigency services in an urban transportation system. Prioritization in exigency services needs to be handled for vehicles like Ambulance, Police Mobile, Fire Brigade, Bomb Disposal Squads, Search and Rescue vehicles, Turntable Ladder, and other similar vehicles. In the proposed framework a single ARTIS agent with four In-agents is deployed at each signal node. In-Agents at different nodes share information about the exigency with the ARTIS Agent that analyses the input data and determines the types of conflict that might cause delays in emergency services provision. We operate the signal based on their priorities for exigency vehicles with different priorities. In case they have the same priorities then we use the lane congestion and vehicle wait time to operate a signal. We demonstrate the application of our proposed approach using different cases of a traffic case study.

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Section: Related Workmentioning

confidence: 99%

Prioritization of Exigency Services in Multi-Agent Transportation Systems

Fakhir,

Qasim,

Hussain

et al. 2023

VFAST trans. softw. eng.

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A complex contract negotiation model based on hybrid intelligent algorithm

et al. 2018

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Enhancement over DBSCAN Satellite Spatial Data Clustering

Al-Batah,

Al-Kwaldeh,

Wahed

et al. 2024

Journal of Electrical and Computer Engineering

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Image processing is a promising technique for enhancing images or extracting useful information from them. One commonly used density‐based clustering algorithm is DBSCAN (Density‐Based Spatial Clustering of Applications with Noise). However, DBSCAN struggles with satellite images due to their large sizes, often resulting in excessively long computation times. This research proposes an improved version of DBSCAN called “Enhanced DBSCAN‐based Histogram” (EDBSCAN‐H) to address these issues. EDBSCAN‐H enhances DBSCAN by incorporating a histogram‐based approach to better manage large datasets and reduce computation time. The key improvement lies in using the histogram of the input image and measuring the distance between data objects and histogram points to determine whether a region is dense or sparse, thereby selecting suitable parameters. EDBSCAN‐H introduces an additional parameter, ε2, alongside the original DBSCAN parameters ε₁ and MinPts. This enhancement allows EDBSCAN‐H to achieve improved performance across various metrics for clustering spatial data images.

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JADETraderPal – JADE mobile agent embedded with flexible negotiation strategies for dynamic e-commerce environments

Cited by 3 publications

References 25 publications

Prioritization of Exigency Services in Multi-Agent Transportation Systems

Prioritization of Exigency Services in Multi-Agent Transportation Systems

A complex contract negotiation model based on hybrid intelligent algorithm

Enhancement over DBSCAN Satellite Spatial Data Clustering

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