Search Results - "Karyono, Kanisius"

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  1. 1

    The adaptive thermal comfort review from the 1920s, the present, and the future by Karyono, Kanisius, Abdullah, Badr M., Cotgrave, Alison J., Bras, Ana

    Published in Developments in the built environment (01-11-2020)
    “…The typical method for comfort analysis is the Predicted Mean Vote and Predicted Percentage Dissatisfied (PMV-PPD). However, they present limitations in…”
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    Journal Article
  2. 2

    Field studies of the Artificial Intelligence model for defining indoor thermal comfort to acknowledge the adaptive aspect by Karyono, Kanisius, Abdullah, Badr M., Cotgrave, Alison, Bras, Ana, Cullen, Jeff

    “…Numerous Artificial Intelligence (AI) solutions are available for achieving thermal comfort. They were either trained with limited datasets or using…”
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    Journal Article
  3. 3

    The role of hygrothermal modelling for different housing typologies by estimating indoor relative humidity, energy usage and anticipation of fuel poverty by Karyono, Kanisius, Romano, Abbie, Abdullah, Badr M., Cullen, Jeff, Bras, Ana

    Published in Building and environment (01-01-2022)
    “…The nature of deem-to-satisfy standards in building energy performance results in a lack of insight over their consequences. As a result, there is a huge gap…”
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    Journal Article
  4. 4

    Audio detection (Audition): Android based sound detection application for hearing-impaired using AdaBoostM1 classifier with REPTree weaklearner by Ayu, Ayu Indah Shekar Melati, Karyono, Kanisius Karyono

    “…AudiTion is an application that will help the hearing-impaired people to detect sound around them and to recognize the sound. The algorithms used in this…”
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    Conference Proceeding
  5. 5

    Developing a Reliable Shallow Supervised Learning for Thermal Comfort Using Multiple ASHRAE Databases by Karyono, Kanisius, Abdullah, Badr M., Cotgrave, Alison J., Bras, Ana, Cullen, Jeff

    “…The artificial intelligence (AI) system faces the challenge of insufficient training datasets and the risk of an uncomfortable user experience during the data…”
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    Journal Article
  6. 6

    THE FRAMEWORK FOR THE SUPPLIER QUALIFICATION SYSTEM FOR THE WORLD LEADER HOME APPLIANCES INDUSTRY by Graczyk-Tarasiuk, Joanna, Karyono, Kanisius

    “…The aim of this study is to analyze and evaluate the supplier qualification system used in production plants of the world leader in the household appliances…”
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    Journal Article
  7. 7

    Smart dog feeder design using wireless communication, MQTT and Android client by Vania, Karyono, Kanisius, Nugroho, I. Hargyo Tri

    “…Regular feeding is one of the problems in dog's maintenance. Owners often forget to feed their pets because of their work. Smart Dog Feeder is the answer to…”
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    Conference Proceeding
  8. 8

    Smart fridge design using NodeMCU and home server based on Raspberry Pi 3 by Edward, Matthew, Karyono, Kanisius, Meidia, H.

    “…Smart Refrigerator is an appliance which converts an ordinary refrigerator into a smart refrigerator. Various features offered by this refrigerator include the…”
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    Conference Proceeding
  9. 9

    Developing the Reliable Shallow Supervised Learning for Thermal Comfort using ASHRAE RP-884 and ASHRAE Global Thermal Comfort Database II by Karyono, Kanisius, Abdullah, Badr M, Cotgrave, Alison J, Bras, Ana, Cullen, Jeff

    Published 03-03-2023
    “…2024, Aug Vol 1 The artificial intelligence (AI) system designer for thermal comfort faces insufficient data recorded from the current user or overfitting due…”
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    Journal Article
  10. 10

    ZLeAp: Application for Wireless Sensor Network (ZigBee) learning tool by Samuel, Alexander, Karyono, Kanisius

    “…ZLeAp is a Wireless Sensor Network (WSN) learning aid application based on ZigBee. This application is intended to assists academics in the study of ZigBee…”
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    Conference Proceeding
  11. 11

    The Comparison Between Geo-magnetism and WiFi for Indoor Positioning System for Public Places by Haryanto, Dhanny Kurniawan, Karyono, Kanisius, Hutagalung, Samuel

    “…The Indoor Positioning Systems (IPS) can be built based on several methods. This work compares two IPS methods which are Geo-magnetism and WiFi. This work…”
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    Conference Proceeding
  12. 12

    DROWTION: Driver drowsiness detection software using MINDWAVE by Giovanni, Suprihadi, Topo, Karyono, Kanisius

    “…A Significant numbers of road accidents are caused by drowsy driver. This factor can be reduced if the drowsy condition of the driver can be identified and…”
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    Conference Proceeding
  13. 13

    ApplianceHub: A wireless communication system for smart devices (case study: Smart Rice Cooker) by Sutiono, Michael, Nugroho, Hargyo, Karyono, Kanisius

    “…In this paper, authors develop a wireless communication system named ApplianceHub for connecting smart devices. There are three main components of this system,…”
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    Conference Proceeding
  14. 14

    Computational load analysis of Dijkstra, A, and Floyd-Warshall algorithms in mesh network by Djojo, Michael Alexander, Karyono, Kanisius

    “…The exchange of information requires the shortest path route to optimize data transmission process. The complexity of the shortest path algorithm becomes…”
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    Conference Proceeding
  15. 15

    A Smart Adaptive Lighting System for a Multifunctional Room by Karyono, Kanisius, Abdullah, Badr M., Cotgrave, Alison J., Bras, Ana Armada

    “…Young professionals and millennials who live alone or are living in small groups and seek practicality, trigger the trend of smaller, modular and micro houses…”
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    Conference Proceeding
  16. 16

    Small-World Network in OMNeT by Winata, F., Martoyo, I., Handojo, L., Junita, Karyono, K.

    “…The small-world phenomenon describes the behavior of very large networks with a relatively small number of hops between any two nodes. The main characteristics…”
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    Conference Proceeding