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A Vapor Sensor Based on a Porous Silicon Microcavity for the Determination of Solvent Solutions
Huy Bui,Thuy Van Nguyen,The Anh Nguyen,Thanh Binh Pham,Quoc Trung Dang,Thuy Chi Do,Quang Minh Ngo,Roberto Coisson,Van Hoi Pham 한국광학회 2014 Current Optics and Photonics Vol.18 No.4
A porous silicon microcavity (PSMC) sensor has been made for vapors of solvent solutions, and a method has been developed in order to obtain simultaneous determination of two volatile substances with different concentrations. In our work, the temperature of the solution and the velocity of the air stream flowing through the solution have been used to control the response of the sensor for ethanol and acetone solutions. We study the dependence of the cavity-resonant wavelength shift on solvent concentration, velocity of the airflow and solution temperature. The wavelength shift depends linearly on concentration and increases with solution temperature and velocity of the airflow. The dependence of the wavelength shift on the solution temperature in the measurement contains properties of the temperature dependence of the solvent vapor pressure, which characterizes each solvent. As a result, the dependence of the wavelength shift on the solution temperature discriminates between solutions of ethanol and acetone with different concentrations. This suggests a possibility for the simultaneous determination of the volatile substances and their concentrations.
The Algorithm Improves Performance of The Integrated Optical Path and Optical Packet Switch
Dang-Quang BUI,Khanh-Huy NGUYEN,Hiroaki HARAI,Won-Joo HWANG 한국멀티미디어학회 2010 한국멀티미디어학회 학술발표논문집 Vol.2010 No.1
In New Generation Networks, integration of optical paths and packets in a switch is one of key techniques to support ultra-high-speed traffic. However, the wavelength allocation for optical packets and optical paths has not been efficiently resolved yet. In this paper, from modeling the operation of the integrated switch as a system of two servers, one for optical paths and the other for optical packets, we utilize Newton method to find an optimal policy for sharing of wavelength resources. Then, we propose an algorithm to dynamically allocate wavelength resources in an integrated switch. Finally, we evaluate performance of that algorithm.
Dynamic Wavelength Allocation for Integrated Optical Path and Optical Packet Switch
Khanh-Huy Nguyen,Dang-Quang Bui,Hiroaki Harai,Won-Joo Hwang 한국멀티미디어학회 2010 한국멀티미디어학회 국제학술대회 Vol.2010 No.-
This paper models the operation of the integrated optical path and optical packet switch as a system of two servers, one for optical paths and the other for optical packets. From the model, we utilize Newton method to find an optimal policy for sharing of wavelength resources. Afterwards, we propose an algorithm to dynamically allocate wavelength resources in an integrated switch. Finally, we evaluate performance of the algorithm.
A Modified YoloV4 Network with Medium-Scale Challenging Benchmark for Efficient Animal Detection
Habib Khan,Bui Quang Huy,Zain Ul Abidin,Juhee Yoo,Minho Lee,Kyeong Wook Seo,Dong Yun Hwang,Mi Young Lee,Jae Kyu Suhr 한국차세대컴퓨팅학회 2023 한국차세대컴퓨팅학회 학술대회 Vol.2023 No.06
Animal detection and classification are crucial for effective wildlife management (WM) and reducing risks associated with animals related road accidents and attacks. Previous attempts trained the models using imbalanced data with fewer representative features and baseline models without improvement. This paper presents a new dataset of five animal classes captured in various poses, lighting conditions, and intraclass variations. The standard coupled detection head of the YoloV4 algorithm faces limitations when performing simultaneous classification and localization due to shared parameters and inputs. To address this issue, we propose a decoupled detection head (DDH) that handles these tasks separately, improving performance. We conducted extensive experiments using the proposed dataset. We found that the optimal backbone features marginally improve the performance of the modified network compared to state-of-the-art (SOTA) works in the subject domain. Our work contributes by addressing the limitations of the standard YoloV4 algorithm and proposing a new dataset for researchers to use in future studies.