Search Results - (( iot implementation level algorithm ) OR ( java data visualization algorithm ))

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  1. 1

    TDMA scheduling analysis of energy consumption for iot wireless sensor network by Islam, Md Ashikul

    Published 2019
    “…The algorithm use time division multiplexing algorithm together with hello message to allocate the neighbors and their energy level to find the best way to communicate and reduce packet drop, less signal interference and increase throughput. …”
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    Thesis
  2. 2

    Enhanced bibliographic data retrieval and visualization using query optimization and spectral centrality measure by Ramasamy, Chitra, Zolkepli, Maslina

    Published 2019
    “…This study proposing an enhance bibliographic data retrieval and visualization using hybrid clustering method consists of K-harmonic mean (KHM) and Spectral Algorithm and eigenvector centrality measure. …”
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    Article
  3. 3

    Web-based RIG performance reporting system using interactive visualization techniques / Amir Hambaly Nasaruddin by Nasaruddin, Amir Hambaly

    Published 2019
    “…The result of this project is all algorithm for visualizing data is functioning and the output produced from the system is correct and effective. …”
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    Thesis
  4. 4

    Dynamic force-directed graph with weighted nodes for scholar network visualization by Mohd. Aris, Khalid Al-Walid, Ramasamy, Chitra, Mohd Aris, Teh Noranis, Zolkepli, Maslina

    Published 2022
    “…The approach is realized by creating a web-based interface using D3 JavaScript algorithm that allows the visualization to focus on how data are connected to each other more accurately than the conventional lines of data seen in traditional data representation. …”
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    Article
  5. 5

    Design Of Robot Motion Planning Algorithm For Wall Following Robot by Ali Hassan, Muhamad Khairul

    Published 2006
    “…Computer A will be sent the data to computer B through the internet/LAN using JAVA program. …”
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    Monograph
  6. 6

    Trust-aware authentication and authorization for IoT: a federated machine learning approach by Ahmed, Kazi Istiaque, Tahir, Mohammad, Lau, Sian Lun, Habaebi, Mohamed Hadi, Ahad, Abdul, Mughees, Amna

    Published 2024
    “…Using real-world data collected from Zigbee Zolertia Z1 devices, a Federated Machine Learning model was developed that utilizes Physical Layer properties such as Received Signal Strength Indicator (RSSI), Link Quality Indicator (LQI), device Internal Temperature, device Battery Level, and device MAC address. The proposed solution for AA IoT utilizes a trust calculation algorithm based on Federated Learning (FL), which is suitable for IoT environments and enables data privacy and scalability. …”
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    Article
  7. 7

    Smart IoT energy optimisation and localisation monitoring for e-bike sharing by Mohamed, Mawada Ahmed, Toha, Siti Fauziah, Rahman, Md Ataur, Khairudin, Moh.

    Published 2025
    “…To address these challenges, this project developed a Smart IoT Energy Optimization and Localization Monitoring System that integrates multi-sensor data, IoT connectivity, and advanced data analytics to monitor real-time usage patterns, battery levels, and the location of e-bikes. …”
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    Article
  8. 8

    A Decentralized Multi-Factor User Authentication Scheme For The Internet Of Things System by Chiadighikaobi, Ikenna Rene

    Published 2024
    “…However, the limitations of IoT devices have led to computation cost challenges and the need for a lightweight authentication scheme. …”
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    Thesis
  9. 9

    Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform by Alias, Norma, Satam, Noriza, Abd. Ghaffar, Zarith Safiza, Darwis, Roziha, Hamzah, Norhafiza, Islam, Md. Rajibul

    Published 2009
    “…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
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    Conference or Workshop Item
  10. 10

    Development of a smart sensing unit for LoRaWAN-based IoT flood monitoring and warning system in catchment areas by Muhammad Aizzat, Zakaria, Jabbar, Waheb A., Noorazliza, Sulaiman

    Published 2023
    “…The innovative, cost-effective, and user-friendly FMWS employs an HC-SR04 ultrasonic sensor with an Arduino microcontroller to measure flood levels and determine their status. Real-time data regarding flood levels and associated risk levels (safe, alert, cautious, or dangerous) are updated on The Things Network and integrated into TagoIO and ThingSpeak IoT platforms through a custom-built LoRaWAN gateway. …”
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    Article
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    Development of a smart sensing unit for LoRaWAN-based IoT flood monitoring and warning system in catchment areas by Muhammad Aizzat, Zakaria, Jabbar, Waheb A., Noorazliza, Sulaiman

    Published 2023
    “…The innovative, cost-effective, and user-friendly FMWS employs an HC-SR04 ultrasonic sensor with an Arduino microcontroller to measure flood levels and determine their status. Real-time data regarding flood levels and associated risk levels (safe, alert, cautious, or dangerous) are updated on The Things Network and integrated into TagoIO and ThingSpeak IoT platforms through a custom-built LoRaWAN gateway. …”
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    Article
  13. 13

    Automatic nutrient mixer and pH Level for hydroponic application / Hariz Akmal Azizan by Azizan, Hariz Akmal

    Published 2024
    “…Future work could involve integrating advanced machine learning algorithms to optimize nutrient dosing and implement self-harvesting mechanisms, thereby enhancing plant production and contributing to the development of more efficient and sustainable hydroponic systems for agricultural practices.…”
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    Student Project
  14. 14

    Smart grid system / Abdul Rahman Musrael by Musrael, Abdul Rahman

    Published 2024
    “…Balancing supply and demand in real-time and maintaining stability in frequency and voltage levels. The objective of this final year project is to modernize the existing grid system by implementing a smart grid that utilizes microcontrollers for efficient energy management and continuous monitoring. …”
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    Student Project
  15. 15

    A method for preserving battery life in wireless sensor nodes for LoRa based IOT flood monitoring by Mohd Yazid, Mohd Aizat, Haja Mohideen, Ahmad Jazlan, Rodzi, Mohd Zuhaili Mohd, Husman, Muhammad Afif, Afif, Abdul Rahman

    Published 2022
    “…A common challenge in the implementation of Internet of Things (IOT) Wireless Sensor Networks (WSN) is that the sensor nodes are known to be power hungry devices. …”
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    Article
  16. 16

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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    Monograph
  17. 17

    Tacit knowledge for business intelligence framework using cognitive-based approach by Surbakti, Herison

    Published 2022
    “…The framework was tested on 23 librarians from several university libraries in West Java and Yogyakarta, Indonesia. The algorithm starts with a content targeted interview to identify the list of problems faced by librarians. …”
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    Thesis
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    Smart energy meter based on a long-range wide-area network for a stand-alone photovoltaic system by Jabbar, Waheb A., Annathurai, Sanmathy, Tajul Ariffin, A. Rahim, M. Fitri, Mohd Fauzi

    Published 2022
    “…The AllThingsTalkMaker IoT server is integrated into the TTN to be accessed using Web/mobile application interfaces. …”
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    An intelligent DDoS attack detection tree-based model using Gini index feature selection method by Bouke, Mohamed Aly, Abdullah, Azizol, ALshatebi, Sameer Hamoud, Abdullah, Mohd Taufik, Atigh, Hayate El

    Published 2023
    “…Preventing DoS at the network or infrastructure level typically depends on implementing an IDS. This paper proposes a novel intelligent DDoS attack detection model based on a Decision Tee (DT) algorithm and an enhanced Gini index feature selection method. …”
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    Article