Sinchai, Ananta

Preferred name

Sinchai, Ananta

Main Affiliation

Integrated Innovative Technology

ananta.sin@kmitl.ac.th

Now showing 1 - 6 of 6

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A check-in system supporting multiple attendees check-in at a time by proximity-based methods
(2021-05-19)
Sae-Lim, Nopparut
;
Sinchai, Ananta
;
Yiangsupapaanontr, Nathan
;
Tuwanut, Panwit
Every year, tons of events are held. One essential problem of each event is a check-in process. The check-in process wastes plenty of time because each check-in unit is able to check only single participant at a time. Diverse approaches using proximity-based methods have been developed to lessen the check-in processing time. To improve the check-in processing time, these methods are surveyed in this paper. The survey has found that most proximity-based schemes still verify attendees in the same manner but consume lesser time. In addition to the survey, a solution that offers a check-in system that is capable of checking in multiple attendees at a time is proposed. The proposed solution employs beacon technology which is already installed on most mobile devices to provide a unique electronic ticket for each device. With this presented solution, each participant already having the unique electronic ticket on his/her device registered is automatically checked in when walking into an event venue. This significantly helps reduce time consumed in the check-in process.
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Using of an Arithmetic Sequence to Estimate Undetected Existing Circle Choice Locations
(2022-01-01)
Sinchai, Ananta
;
Tuwanut, Panwit
Handling an optical mark recognition (OMR) answer sheet faces a problem of shape detection due to defections of color, resolution and shape. A typical method of shape detection thus creates false detection. The false detecting problem is that the general detecting approach fails to detect the locations of the filled shape or detects only the previous detected locations. For this work focuses on a circle choice shape. To solve such problem, an arithmetic sequence is proposed to estimate the existing circle-shaped locations undetected by the common detecting scheme. The proposed technique is verified by experimenting the OMR answer sheet having thirteen options per item. Two conditions are experimented. The first condition arbitrarily fills a circle in each item and the other one leaves the circle in each item unfilled. The experimental results have revealed that the average success rate of the proposed approach in locating the undetected existing circle shapes is 100% for both conditions.
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A Practical Circuit of Cyclic Chirp Spread Spectrum Modulation for Long Range Communication
(2022-01-01)
Sinchai, Ananta
;
Saelim, Nopparut
;
Pornavalai, Chotipat
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Wardkein, Paramote
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Tuwanut, Panwit
Various technologies have been utilized in long range communication to satisfy increasing usage of the internet of things in a wide large area. Recently, a modulating technique called cyclic chirp spread spectrum (CSS) modulation has attracted attention due to its low power usage and long-range coverage. However, a cyclic CSS circuit is complex to build. Hence, the objective of the work is to propose a practical circuit of cyclic CSS modulation. The proposed circuit is designed to complicated-free creation. To prove that the presented circuit is pragmatic, a simulation test is performed. The simulation results have illustrated that the designed circuit well generates a chirp modulating signal. Also, the proposed circuit is flexibly configurable.
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An Image Resizing Function Embedded in an Inverse Discrete Cosine Transform
(2022-01-01)
Sinchai, Ananta
;
Tuwanut, Panwit
Image resizing is an everyday activity and can be done in either a spatial domain or a transform domain. This work realizes that an image is commonly stored in the transform domain and the transformed image must be converted back to the spatial domain to display. This work hence proposes embedding an image resizing function based on a scaled frequency (SF) in a matrix operation of inverse discrete cosine transform (IDCT) for the sake of convenience. By adopting the proposed technique called as the SF-IDCT is not only capable of resizing the transformed image to a given resolution, but also acquiring the IDCT as a by-product. Image data can be shortened or lengthened in proportion to their frequencies by varying the frequencies of the DCT basis functions. Besides, the effects of modifying the pattern of the image data are also studied. The experimental results indicate that the SF-IDCT functions well. The proposed technique reconstructs an upsized image of equal or better visual quality than those produced by existing methods. For a downsized image, the performance of the presented approach is competitive with other available methods.
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A real-time web-based application of healthcare monitoring and notification system using IoT technology
(2023-09-22)
Sinchai, Ananta
;
Thippakdee, Chanatip
;
Theeranukul, Chalesuan
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Sri-Utaiwong, Chissanupong
;
Phasujit, Torkiat
Since the aging society has come, the number of elderly people seeking healthcare services from a hospital has increased. Most cases of senile patients including immobile patients are necessary to be admitted to the hospital, and are bedridden, but the quantity of beds is insufficient for them. With this reason, plenty of them is unavoidable to cure at home, known as home care. However, for home care, no nurse always takes care, and no suitable medical device is fully equipped to monitor like in the hospital. This is problematic because some patients might not show any seen physical symptoms and not get immediate help leading to serious conditions or even death. To provide instant help to the bedridden patients, a real-time web-based health multimedia monitoring and notification system utilizing IoT technology is proposed. The presented approach uses two vital sign indicators, oxygen saturation (SpO2) and pulse rate (PR) as criteria to notify both medical personnel and a caregiver. The experimental results have shown that the proposed system can create a notification alert at once through different media with the accuracy of 100%. By applying the proposed system, emergency care can be delivered to the bedridden patients in time.
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Enhanced Fire Detection Using Deep Learning and Heat Signatures
(2024-01-01)
Sinchai, Ananta
;
Pumanee, Ploychattra
;
Lomwong, Rattaphum
This study presents an innovative fire alarm system that integrates deep learning with thermal camera technology to tackle the urgent problem of slow fire detection, which often leads to considerable harm to individuals and extensive property damage. The system excels in identifying heat signatures prior to the full development of a fire, enabling timely notifications and thus mitigating potential damages and risks associated with fire incidents. Compared to traditional smoke detectors, this system operates at a considerably faster pace and offers a more flexible installation process by leveraging thermal cameras, which eliminates the need for ceiling-mounted detectors. Experimental evaluations demonstrate the efficacy of the proposed system, achieving up to 97% accuracy in fire detection. Simulations of various fire scenarios, ranging from initial heat detection to severe fire conditions, were used to train the system using a deep learning platform and a model of you only look once version 4 tiny (YOLOv4-Tiny). The results underscore the system's capability to detect early heat buildup swiftly, facilitating prompt alerts and enhancing overall fire safety.

Sinchai, Ananta

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