Search Results - (( java implementation path algorithm ) OR ( using analytical cloud algorithm ))
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Development of heuristic task scheduling algorithm in cloud computing
Published 2016“…Index Terms— Big Data Analytics, Cloud Computing, Heuristic, Scheduling, Static.…”
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Proceeding Paper -
2
Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer
Published 2017“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment
Published 2021“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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Article -
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Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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6
An efficient VM scheduling algorithm to minimize the makespan and maximize the profit
Published 2019“…The second process is hyper analytical task scheduling algorithm, and based on the scheduled task, the policy based profit maximization algorithm was proposed in final process. …”
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Enhanced replication strategy with balanced quorum technique and data center selection method in cloud environment
Published 2022“…Thorough experiments were conducted using the ‘CloudSim’ simulation tool. The dataset generated by CloudSim was in random structured master files in various sizes. …”
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8
Lightweight authentication technique for secure communication of edge/fog data-centers
Published 2020“…Edge computing has significantly enhanced the capabilities of cloud computing. Edge data-centres are used for storing data of the end-user devices. …”
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Article -
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Cloud-Mobi Framework using hybrid AHP-ACO method for Social Interaction and Travel Planning
Published 2013“…The first level calculates interest score for places and events of interest based on user preference, business description and community review with Analytical Hierarchy Process (AHP). Second level generates the optimum travelling path using the Ant Colony Optimization (ACO) method of our past research. …”
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Conference or Workshop Item -
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Revolutionizing video analytics: a review of action recognition using 3D
Published 2024“…It also addresses the practicalities of implementing action recognition algorithms in real-world situations, which include tools like deep learning frameworks, pre-trained models, open-source libraries, cloud services, GPU acceleration, and evaluation metrics. …”
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Job Matching Mobile Application using Fuzzy Analytic Hierarchy Process (FAHP) / Mohammad Ashraf Jefrizin
Published 2017“…Findings of this project is portrayed as conceptual framework that consists the structure of job matching mobile application using FAHP algorithm. Evaluation is conducted using accuracy test where the result of this application is compared to the manual method using a survey. …”
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Student Project -
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SGM: Strategic Game Model for resisting node misbehaviour in IoT-Cloud ecosystem
Published 2022“…At the same time, a unique role is given to a node for restoring resources during communication or security operations. Adopting an analytical research methodology, the proposed model uses public and private cloud systems for integrating quality service delivery with secure agreements using a Global Trust Controller and core node selection controller to select an intermediate node for data propagation. …”
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Development of a wearable human fall detection system
Published 2022“…In this study, an accelerometer and gyroscope sensors were installed in a wearable fall detector. A fall detection algorithm was developed using MATLAB. This algorithm will extract features from the signal sent by the sensors and conduct a series of decision-making and classification process to determine whether a fall has actually occurred. …”
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SGM : Strategic game model for resisting node misbehaviour in IoT-cloud ecosystem
Published 2022“…At the same time, a unique role is given to a node for restoring resources during communication or security operations. Adopting an analytical research methodology, the proposed model uses public and private cloud systems for integrating quality service delivery with secure agreements using a Global Trust Controller and core node selection controller to select an intermediate node for data propagation. …”
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Proposed conceptual Iot-based patient monitoring sensor for predicting and controlling dengue
Published 2023“…The growing development of wearable Internet of Things (IoT), cloud computing, analytical approaches provide better alternative for dengue prediction and control. …”
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The Parallel Fuzzy C-Median Clustering Algorithm Using Spark for the Big Data
Published 2024“…Apache Spark is one of the most widely used large-scale data processing engines due to its speed, low latency in-memory computing, and powerful analytics. …”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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Enhanced Adaptive Neuro-Fuzzy Inference System Classification Method for Intrusion Detection
Published 2024“…Nowadays, the rapid advancement of technologies such as e-commerce, mobile payments, cloud computing, big data and analytics, IoT, AI, machine learning, and social media has greatly contributed to economic growth. …”
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