Khawne, Amnach

Loading...
Thumbnail Image
Preferred name
Khawne, Amnach
Main Affiliation
Email
amnach.kh@kmitl.ac.th

Settings

Now showing 1 - 7 of 7
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Color descriptor for image retrieval in wavelet domain
    (2006-01-01)
    Utenpattanant, Ariya
    ;
    Chitsobhuk, Orachat
    ;
    Khawne, Amnach
    This paper presents an approach to manage a large database using a compact color descriptor and a statistical method for accurately pruning the database. A compact color descriptor adopted in the proposed content-based image retrieval system is 63-bit binary Haar color histogram, which is very compact and can be effectively used for fast image search. In addition to fast searching using this compact descriptor, we further improve retrieval time by applying pruning technique, which looks for the candidate images similar to the query image from the database and ignore the rest that are not likely to the query image. The descriptors of the candidate images are then matched with that of the query. The most similar images will be retrieved and ordered according to their distance to the query. The proposed retrieval system can efficiently retrieve the most similar images from the database while can help reducing the retrieval time and the storage space.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    New spread spectrum technique by using orthogonal carrier frequencies
    (2000-12-01)
    Kamuang, Settakorn
    ;
    Khawne, Amnach
    ;
    Wongrujira, Krit
    ;
    Noppanakeepong, Suthicahi
    This paper proposes multicarrier spread spectrum, which uses few carriers, but provides high processing gain. Normally, multicarrier spread spectrum will apply in multicarrier CDMA system that must use many orthogonal carrier frequencies, which complicate and complex to the system. So, we should apply m-sequence that has high speed for reducing the number of carrier frequency. This paper will show that this system can also be spreading spectrum.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Improving Water Salinity Forecasting in Bang Pakong River with Attention Mechanism
    (2024-12-02)
    Saksopit, Thongthai
    ;
    Khawne, Amnach
    Seawater intrusion in the Bang Pakong River estuary poses a significant threat to freshwater resources used for agriculture, municipal consumption, and industrial applications. Accurate prediction of salinity fluctuations is crucial for effective water management strategies. This study proposes an enhanced univariate salinity prediction method utilizing a Long Short-Term Memory (LSTM) model augmented with an Attention Mechanism. The Attention Mechanism empowers the LSTM to selectively focus on crucial information within extended historical salinity data sequences. The optimal input sequence length for the model is determined through a training process, aiming for the most accurate predictions. Here, the model forecasts salinity values 24 hours ahead and is evaluated against actual measurements. Performance metrics demonstrate that the Attention-LSTM model achieves the lowest error (MAE: 0.007834, MSE: 0.000094, RMSE: 0.009697, MAPE: 0.048736) and the highest accuracy (R<sup>2</sup>: 0.782927) at an input sequence length of 504 hours. These findings highlight the potential of the Attention-LSTM model for improved salinity prediction in the Bang Pakong River estuary, aiding water resource management strategies.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Blockchain as a Notarization System for Military Data Sharing
    (2025-01-01)
    Chamnikul, Chatchawan
    ;
    Khawne, Amnach
    This paper presents a blockchain-based notarization system designed to secure and authenticate military data sharing. In the context of national defense, where the integrity and confidentiality of sensitive military data are paramount, traditional centralized systems often fail to meet the required security standards. Our proposed system leverages a permissioned blockchain platform, specifically Hyperledger Fabric, combined with smart contracts to create an immutable and transparent ledger. This ensures that once military data is recorded, it cannot be altered or tampered with, thereby enhancing data integrity and auditability. The system is further integrated with existing military information infrastructures through secure APIs and middleware, enabling seamless data exchange. Experimental evaluations conducted in a simulated environment demonstrate that the system achieves high transaction throughput, low latency, and robust error management. Although challenges remain in scalability and fine-grained access control, the results confirm that blockchain technology has the potential to significantly improve the security and transparency of military data sharing. Future work will focus on addressing these challenges and refining the system for real-world deployment in defense operations.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    A quick scene search with constructed mapped charts for TV sport programs
    (2006-12-01)
    Fuangrod, Todsaporn
    ;
    Khawne, Amnach
    This paper presents the fast scene search algorithm using fixed-image regions of the superimposed-text in a video. Our scheme focuses on the fixed-image region of the superimposed-text which is often an intuitive clue for an end-user for specifying a certain frame in a sport video. The video scene, consisting of superimposed-text detection using MFI algorithm, and Mapped Chart (MC) which constructed the index of a pattern matching, will be searched by the user. Our method found that the searching method with MC was faster (reduced the time consuming more than 50%) and more robust. ©2006 IEEE.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    A study of using L1-norm with image watermarking on SVD domain
    (2007-12-01)
    Khawne, Amnach
    ;
    Chitsobhuk, Orachat
    ;
    Nakamiya, Toshiyuki
    This paper presents a study of image watermarking using robust singular value decomposition in LI-norm subspace. The watermarked image attacked by noise is greatly degraded. This results in the effects of transparency and robustness of the watermarked image. Although the water-marking in SVD domain is sensitive to noise and outliers, incorporating L1-norm regression to the watermarking algorithm can help handling the missing data caused by noise and help increasing the robustness of the proposed algorithm. Experimental results show that the proposed algorithm can not only excellently reduce the bit error rates of the recovered watermark but also retain the transparency property of the watermarked image.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    The implementation of spectrum sensing and spectrum allocation on cognitive radio
    (2017-03-29)
    Rungsawang, Pitcha
    ;
    Khawne, Amnach
    Cognitive Radio is a system designed to use radio spectrum in the most efficient way possible - as demands for radio spectrum have been heavily increased nowadays. The system works by allowing unlicensed users to use radio channel on the licensed users' spectrum without interfering with the licensed users. The system needs spectrum sensing to verify the usage of each specific spectrum and in ever-shifting environment, Reinforcement Learning is also used for establishing spectrum allocation as well.