Pavarangkoon, Praphan

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School of Information Technology

praphan.pa@kmitl.ac.th

Now showing 1 - 10 of 13

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Cache Node Placement Scheme Considering Maximum Traffic in Content-Centric Networks
(2023-01-01)
Pavarangkoon, Praphan
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Nakajima, Shohei
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Kitsuwan, Nattapong
This paper proposes a cache node placement scheme considering the maximum traffic in content-centric networks (CCNs). The cache node placement problem is considered to satisfy the user's requirement in CCNs. Traffic utilization is one of the most common requirements. Reduced traffic allows more additional traffic on links. In this paper, a scheme to minimize the maximum traffic and the number of hops is proposed. The mathematical model for the cache node placement problem is formulated. The dynamic routing is considered in this model. Numerical result shows that the proposed scheme outperforms the conventional scheme. It suggests that the proposed scheme provides reference values to support the implementation of heuristic algorithms for the cache node placement problem.
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Impact of Rhythm, Tempo, and Rest Variations on Pitch Detection in Deep Learning-Based Piano Transcription Models
(2024-01-01)
Pangwapee, Priyakorn
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Mekkoktanphira, Juthakan
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Dilokthanakul, Nat
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Lochanachit, Sirasit
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Kanungsukkasem, Nont
This paper investigates the impact of rhythm, tempo, and rest variations on pitch detection in deep learning-based models for piano transcription. We conducted a series of experiments using GRU and Transformer architectures, manipulating note lengths, rhythmic patterns, and rest intervals to assess their effect on pitch transcription accuracy. Our findings indicate that model performance is significantly influenced by these musical factors. The experiment with GRU shows notable sensitivity to rhythmic and rest changes. However, the Transformer model handles varied conditions more robustly. These findings help refine our approach to music transcription software, particularly in improving pitch recognition across varied rhythmic patterns, tempos and rests.
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Routing algorithms with adaptive weight function based on total wavelengths and expected available wavelengths in optical WDM networks
(2005-01-01)
Pavarangkoon, Praphan
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Maneerat, Noppadol
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Varakulsiripunth, Ruttikorn
This paper studies routing and wavelength assignment in wavelength-routed (WR) optical WDM networks which are circuit-switched in nature. When a session request is given, (be hard task of routing and wavelength assignment (RWA) is to calculate the satisfiable path between two nodes, and also to assign an available set of wavelengths along this path. Therefore, we have proposed a new routing and wavelength assignment algorithm, called Total wavelengths and Expected available wavelengths (TEW) algorithm in order to achieve the effective routing and wavelength assignment that can guarantee the service for user's requirement. The link weight function is considered as the main factor for route selection in TEW algorithm. This function is calculated by using a determination factor of the number of wavelengths that are being used currently and are supposed to be available after a certain time. The session requests from users will be routed on the links that has the least number of link weights by using Dijkstra's shortest path algorithm. This means that the selected lightpath will have the minimum utilization and maximum expected available wavelengths. The impact of proposed link weight computing function on the blocking probability is investigated by means of computer simulation and comparing with the traditional mechanism. The results show that the proposed TEW algorithm can achieve better performance in terms of the blocking probability.
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Scale-Based Slicer Placement in Elastic Optical Networks
(2023-01-01)
Kitsuwan, Nattapong
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Pavarangkoon, Praphan
This paper proposes a scale-based slicer placement scheme to reduce bandwidth blocking rate (BBR) in elastic optical networks (EONs). In EONs, a slicing-stitching technology is adopted to overcome a spectrum slot allocation rule that the spectrum slots of the same request must be consecutive on the same link. This technology is done by slicers to split a spectrum band into multiple sub-spectrum components. In EONs with limited slicers, determining equally the number of slicers on every node may not result in a low BBR since the traffic volume on each node is not the same. We investigate and determine the number of slicers needed for each node as a scale-based policy. The simulation results show that our scheme achieves a BBR reduction of 91%, compared to the conventional scheme.
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An Image Stabilization Technique for Long-durational Outdoor Footages Obtained by Visual IoT Systems
(2021-01-01)
Murakami, Yuki
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Murata, Ken T.
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Kikuta, Kazutaka
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Niimi, Michiharu
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Kawanabe, Tomohiro
Disaster mitigation is a significant issue where modern wireless network systems are expected to play a crucial role. It is believed that Visual IoT is one of the key techniques because of its monitoring abilities of urban and rural areas. The outdoor Visual IoT systems generally transfer a large number of footage every day. To detect information from large-size footage datasets, automatic time subtractions between frames are effective. However, to extract even tiny difference between frames, camera shake causes a serious damage. In this study we first survey long-durational footage transmitted from outdoor cameras installed in a city to examine that the stabilization techniques based on feature keypoints are effective to camera shake. Based on this survey we define a matching index to judge if the stabilization is of use or not for every couple of frames. The index is implemented with help of a camera calibration library in OpenCV using AKAZE feature. We then propose a method to stabilize footage continuously obtained by outdoor Visual IoT systems. Using the matching index, we examine one-day footage to find that stabilization is occasionally not applicable in case when the matching index is relatively larger or smaller than 1 (when matching is complete) or the number of matching pairs using AKAZE keypoints are too few. According to the results we set a threshold value of the matching index. We finally perform this technique to footage recorded on a couple of strongly windy days. The efficiency is numerically and visually confirmed on each footage successfully.
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Elastic optical network for fragmented bandwidth allocation with limited slicers
(2021-01-01)
Akaki, Kaito
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Pavarangkoon, Praphan
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Kitsuwan, Nattapong
A fragmentation problem increases bandwidth blocking in an elastic optical network (EON). A technique to reduce bandwidth fragmentation is important. The routing and spectrum allocation (RSA) approach is one of the techniques to reduce bandwidth fragmentation. A slicing-and-stitching technology is adopted in EON to relax a consecutive slot constraint for the spectrum allocation process. A slicer is used to split a signal of a spectrum band into several spectrum components, as a slicing process. The split spectrum components are transmitted to the destination before recovering the original signal at the destination, as a stitching process. An RSA algorithm for EON with this technology is applied. As a result, the request blocking is reduced. Slicers are applied to all nodes in the network. The implementation cost is high. Reducing the number of slicers in the network degrades the performance in terms of bandwidth blocking. This paper investigates bandwidth blocking when the number of slicers is limited. Some nodes in the network are selected to place slicers. A betweenness centrality (BC) value is used to select the nodes to place the slicers. The result from a simulation shows that placing a small number of slicers per node for a large number of nodes has better performance than placing a large number of slicers per node for a small number of nodes.
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Automatic Smoke/Forest Fire Detecting System based on Visual IoT
(2025-01-01)
Tungpimolrut, Kanokvate
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Karnjana, Jessada
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Chatpoj, Montri
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Kitbutrawat, Nathavuth
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Pavarangkoon, Praphan
In this paper, a visual IoT system or IP camera system for early detection of smoke/forest fire has been investigated. The overall system implementation including hardware and software as well as system installation in targeted areas in Chiangmai, Thailand have been also described. The dataset construction, the preliminary model development and testing have been conducted based on YOLOv5. The model improvement based on Fast Segment Anything Model with YOLOv11 has been proposed to improve False Positive. The results show good performance of Mean Square Error.
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Large L-shape Fit Spectrum Allocation for Elastic Optical Network with Spectrum Slicing
(2021-01-13)
Akaki, Kaito
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Pavarangkoon, Praphan
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Kitsuwan, Nattapong
A slicing and stitching technology has been invented to relax the consecutive constraint of spectrum slot allocation in elastic optical network (EON). This technology splits a spectrum band into several signal bands, called optical components, by making a copy of the original spectrum band and filtering out an unwanted signal on each spectrum band. The remaining optical components are injected into a transmission channel. At the destination, the optical components are recovered by using phase preserving wavelength conversion. Therefore, a request is able to allocate to dis-consecutive groups of slots. A conventional spectrum allocation scheme with this technology adopts slicing devices, called spectrum slicers, at only a source node. There is a problem of allocation patterns due to lack of flexibility since slicing at intermediate nodes is not considered. In this paper, we propose a spectrum allocation scheme considering slicers at both source node and intermediate nodes. Performance of the proposed scheme is evaluated by a computer simulation. The results show that the proposed scheme with 20 slicers reduces 45% of request blocking probability compared to the conventional scheme in COST239 topology when the traffic is 300 Erlang.
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Performance Evaluation of High-Performance and Flexible Protocol on Data Mover Challenge
(2020-10-21)
Pavarangkoon, Praphan
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Murata, Ken T.
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Yamamoto, Kazunori
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Fujita, Naoyuki
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Ohkawa, Hirofumi
Data mover challenge (DMC) for Supercomputing Asia organized by the National Supercomputing Centre (NSCC), Singapore is a competition for data transfer node (DTN) architecture. This challenge invites experts from academia and industry to test their software and products on advanced 100G research and education networks. The theme for DMC20 is data for science, which focuses on moving the large amounts of data between multiple sites with DTNs and between high performance computing (HPC) centers around the world. In this paper, we present performance evaluation of data transfer protocol, called high-performance and flexible protocol (HpFP), on DMC20. The data transfer tests are done using high-performance copy (HCP), which is an enhanced HpFP-based file transfer tool. The results show that the HpFP outperforms the traditional protocol on scenario with high packet loss. Tuning parameters and problems are discussed to improve the performance of our file transfer tool as well.
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International Deployment of Visual IoT for Disaster Mitigation
(2023-01-01)
Murata, Ken T.
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Kikuta, Kazutaka
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Nagatsuma, Tsutomu
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Imanaka, Hideo
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Pavarangkoon, Praphan
This paper proposes a novel methodology that utilizes a newly developed visual Internet of Things (IoT) system for resilient natural disaster mitigation. This system enables the detection of disasters through remote control functions integrated with visual IoT sensors and artificial intelligence (AI)-based image processing of images captured by these sensors. The system is designed using commercial off-the-shelf (COTS) components to reduce installation costs, making it feasible for deployment worldwide, including in developing countries. In 2023, the proposal for this system was presented to the ITUD with the aim of widespread implementation in developing nations. The paper introduces innovative methodologies for visual IoT in international disaster mitigation, accompanied by use cases and detailed technological insights.

Pavarangkoon, Praphan

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