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International Conference on Control, Automation and systems ( ICCAS)

作者： Boeun Lee Nak Yong Ko Hong Gi Yeom Department of Electronic Engineering Interdisciplinary Program in IT-Bio Convergence SystemGraduate School Chosun University Gwangju Korea Department of Electronic Engineering Interdisciplinary Program in IT-Bio Convergence System Chosun University Gwangju Korea

In this paper, an application of visual inertial odometry is described. Details of the implementation including the calibration are also described. The method uses visual data from two cameras and the measurements from inertial measurement unit. Previous researches usually used only front view image, whereas this study uses three different visual data from different view angles: front view, floor view, and ceiling view. The results are compared and the effect according to different view angles is analyzed. The comparison shows that the number of detectable features affects the performance of the visual odometry.

关键词： Visualization Estimation error Measurement units Robot vision systems Pose estimation Feature extraction Cameras

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Comparison of Geographically Weighted Regression (GWR) and Mixed Geographically Weighted Regression (MGWR) Models on the Poverty Levels in Central Java in 2023

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IAENG International Journal of Applied Mathematics 2024年第12期54卷 2746-2757页

作者： Alya, Najma Attaqiya Almaulidiyah, Qothrotunnidha Farouk, Bailey Reshad Rantini, Dwi Ramadan, Arip Othman, Fazidah Engineering Department Data Science Technology Study Program Universitas Airlangga Indonesia Engineering Department Data Science Technology Study Program Faculty of Advanced Technology and Multi-discipline Universitas Airlangga Indonesia Information System Study Program Department of Industrial and System Engineering Telkom University Surabaya Campus Indonesia Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Malaysia

Poverty is considered a serious global issue that must be immediately eradicated by Sustainable Development Goals (SDGs) 1, namely ending poverty anywhere and in any form. As a developing country, poverty is a complex issue faced by Indonesia. Tackling poverty in Indonesia has become a key focus of the government’s strategic priorities. This issue of poverty is experienced by all provinces in Indonesia, including Central Java. The poverty rate in Central Java stands at 10.77% or 3.79 million people. The causes of poverty are explained by several factors. Using these various factors, a mapping model can be conducted to determine the number of poor populations in Central Java. This research employs Geographically Weighted Regression (GWR) and Mixed Geographically Weighted Regression (MGWR) approaches to compare the effectiveness of these models in analyzing the number of poor populations in Central Java in 2023. The kernel function weighting used in this study is Fixed Gaussian. The results showed that the MGWR model outperformed both the OLS regression and GWR models, achieving an Akaike Information Criterion (AIC) of 62.766, an R2 of 82.3%, and a Mean Squared Error (MSE) of 0.177. Consequently, it can be inferred that the MGWR model was more suitable for explaining the poverty levels in Central Java. © (2024), (International Association of Engineers). All Rights Reserved.

关键词： Logistic regression

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Synthesis and raman response of multiwalled-carbon nanotubes decorated with gold nanobowls prepared via galvanic replacement of silver nanoparticles

Synthesis and raman response of multiwalled-carbon nanotubes...

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6th IEEE International Conference on Nano/Micro Engineered and Molecular systems, NEMS 2011

作者： Obliosca, Judy M. Wang, Pen-Cheng Tseng, Fan-Gang Department of Engineering and System Science National Tsing Hua University Hsinchu 30013 Taiwan Taiwan International Graduate Program Institute of Physics Academia Sinica 128 Academia Rd. Nankang 115 Taiwan

ISBN: (纸本)9781612847757

Gold nanobowls (AuNBs) of ∼5 nm in diameter grown on multiwalled carbon nanotubes (MWCNT) were successfully synthesized via galvanic replacement of silver nanoparticles (AgNPs). A 3-fold Raman signal enhancement of MWCNT was observed when Au replacement with Ag approached to completion. Moreover, AuNBs can be readily released from CNT surface via sonication with 1-octanethiol (OT). Our current method demonstrates a novel technique on producing smallest dimension of AuNBs so far simply achieved in wet chemical process. © 2011 IEEE.

关键词： Silver nanoparticles

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An optimization-based approach to software development process tailoring

An optimization-based approach to software development proce...

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2nd International Symposium on Search Based Software engineering, SSBSE 2010

作者： Magdaleno, Andréa Magalhães COPPE/PESC System Engineering and Computer Science Program UFRJ Rio de Janeiro Brazil NP2Tec Research and Practice Group in Information Technology UNIRIO Rio de Janeiro Brazil

ISBN: (纸本)9780769541952

A major activity performed by the manager before starting a software project is tailoring its development process. Such activity requires information about the context under which the project will be executed, including organizational, project, and team characteristics. In addition, it also requires pondering many factors and evaluating all existing constraints. In this scenario, we claim that a balance between collaboration and discipline can be the drivers to tailor software development processes in order to meet project and organization needs. With the purpose of facilitating this balancing, it is possible to automate some of the steps to solve the problem, reducing the effort required to execute this task and improving the obtained process. Therefore, this work presents an optimization-based approach where the balancing in process tailoring is defined, modeled and briefly analyzed. This approach uses collaboration and discipline as utility functions to select the most appropriate process for a software development project, considering its current context. © 2010 IEEE.

关键词： Constraint satisfaction problems

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Vessel Location Tracking by Using Unscented Kalman Filter Implemented in Nonlinear Attitude Space

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Journal of Institute of Control, Robotics and systems 2023年第4期29卷 347-354页

作者： Jeong, Da Bin Ko, Nak Yong Choi, Hyun-Taek Department of Electronic Engineering Interdisciplinary Program in IT-Bio Convergence System Chosun University Korea Republic of Korea Republic of

In this study, Lie group theory was used for implementing the unscented Kalman filter (UKF). The UKF was used to track an unmanned surface vehicle (USV) by using radar measurements and the data recorded by the automatic identification system. The attitude of the USV was represented using unit quaternions constituting a Lie group called the 3-sphere space (S3). The increment and difference in the attitudes in S3 constitute a Lie algebra. The correspondence between the Lie group component and the Lie algebra component was used by the exponential and logarithm functions of the UKF. Simulation studies verify that the Lie group based UKF results in better convergence property in Kalman gain, measurement innovation, and covariance, as well as better tracking accuracy than the traditional UKF. © ICROS 2023.

关键词： Lie groups

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Multi-Functional Brain-Computer Interface Using Convolutional Neural Networks

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Journal of Institute of Control, Robotics and systems 2023年第1期29卷 29-34页

作者： Choi, Woo-Sung Yeom, Hong Gi Department of Electronics Engineering Chosun University Korea Republic of Interdisciplinary Program in IT-Bio Convergence System Korea Republic of

The Brain-computer interface (BCI) is a technology that measures and analyzes electroencephalogram (EEG) signals to control robots or machines according to the user's intention. The BCI is a beneficial technology that helps people who can not move their body because of paralysis or amputation so that they can control various electronic devices or express their intentions just by thinking. However, previous BCI technologies have a limitation that they can not have been unable to predict multiple intentions. To use the BCI system in daily life, BCI should be able to predict various intentions such as movement, communication, and robot control. In this study, we developed a BCI technology that can predict multiple intentions simultaneously using a convolutional neural network (CNN). We evaluated the proposed BCI model with EEG signals measured from 10 subjects participants during completing Sensory-Motor Rhythm (SMR) and Steady-State Visual Evoked Potential (SSVEP) tasks. The evaluation showed that the proposed BCI model could predict multiple intentions. The average accuracy averaged by all subjects was 62.8±13.7%. This result implies that BCI users can simultaneously perform various tasks, such as typing and moving. We expect that our study will promote the development of the practical applications of BCI. in daily life. © ICROS 2023.

关键词： Brain computer interface

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Dry-season sources of riverine sediment from the tropical mixed urban-agricultural watershed of the Mun River Basin in northeastern Thailand

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International Journal of Sediment Research 2023年第2期38卷 240-252页

作者： Arika Bridhikitti Thayukorn Prabamroong Gaohuan Liu Environmental Engineering and Disaster Management Program School of Interdisciplinary Studies Mahidol University Kanchanaburi Campus Earth Science Research Center Mahidol University Kanchanaburi Campus Faculty of Environment and Resource Studies Mahasarakham University State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences

Northeastern(NE) Thailand is well recognized as the land for rice cropping and consequently, it is potentially contaminated with chemicals from soil fertilization, pest/weed control, and urban *** Mun River basin in NE Thailand principally is comprised of rice paddies and sedimentation in the river has been pronounced, but the studies on sediment source identification are limited. The current study aims to identify sediment sources in the Mun River basin and discuss possible impacts on ecosystems attributed to exposure to polluted sediment. The assessment relies upon physicochemical properties and heavy metal contents(iron(Fe), manganese(Mn), copper(Cu), chromium(Cr), nickel(Ni),and Zinc(Zn)) in the fine-grained sediment(<63 μm) taken from the Mun River basin and the Chi River in the dry season of 2020-2021. The findings revealed that the heavy metals in the sediment had not accumulated to levels of concern. Most sediment was from natural sources, including Fe-and Mn-rich sediment, Cr-dominant sediment, and Ni-and Cu-rich sediment. Fe-and Zn-rich sediment was, however, found in the urban watershed of Lam Ta Klong, and it could originate from mixed urban sources. Ferich sediment was predominant in the Mun River basin, which and could be a significant sink and source of toxic elements from agricultural and urban discharges. It is suggested that the toxic compounds in the sediment should be consistently monitored, whereas ecological and health risk assessment should be focused on the mobile forms.

关键词： Sediment Heavy metals Mun River Lower Mekong River Agriculture

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Bartolomeo micro-g disturbance control at payloads 69

Bartolomeo micro-g disturbance control at payloads

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69th International Astronautical Congress: #InvolvingEveryone, IAC 2018

作者： Sgobbo, Riccardo Abdoly, Kiyoumars Steimle, Per-Christian Airbus Defence and Space GmbH Mechanical Engineering Airbus Allee1 Bremen28199 Germany System Architecture Expert for Structural Dynamics and Mechanics United States Bartolomeo Program Manager United States

The European external platform "Bartolomeo" is an enhancement of the European International Space Station (ISS) module "Columbus". Its infrastructure is motivated by the shortage in availability of ISS external sites and the need to improve capabilities to keep the station attractive for new upcoming space missions. Designed to user requirements from the commercial and institutional sector, Bartolomeo is a new ext ernal payload hosting facility which is mechanically attached to the ram-facing primary and secondary trunnions on the ram side of Columbus. Thermal and dynamic stability of the payloads are the primary missions of Bartolomeo environment. Micro -g disturbances control is vital for the operation of the payloads outside the International Space Station. Therefore Bartolomeo is designed to provide a smooth dynamic environment towards on -orbit random vibration levels from low to high frequency. For each payload an isolation device will be developed by Airbus Defence and Space in Bremen in order to provide a guaranteed payload comfort. In order to determine the efficiency of insulation a preliminary analysis is necessary to investigate the sensitivity of payloads with respect to their position, mass, Center of Gravity (CoG) towards frequency range. The insulation device shall reduce the resonance of the amplification for certain frequencies without shifting the effect to other frequency ranges. The possible mode cou pling of Bartolomeo payloads and the platform itself to the Columbus Module is also investigated in this paper. The effect of soft - mounted attachments between Bartolomeo and Columbus is included in this investigation. A modal survey test and random vibration tests will be used for the external correlation of the mathematical model of Bartolomeo and in addition they will support this analysis. Existing spectra for other payloads platform mounted on the ISS (ELC, ExPress Logistic Carrier) are taken as reference, modifying the excitation to start fro

关键词： Gravitation

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An Executable system Architecture Approach to Discrete Events system Modeling Using SysML in Conjunction with Colored Petri Net

An Executable System Architecture Approach to Discrete Event...

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2nd Annual IEEE Internatioal systems Conference

作者： Renzhong Wang Cihan H. Dagli System Engineering Graduate Program Missouri University of Science and Technology Rolla MO USA

This paper proposes an executable system architecting paradigm for discrete event system modeling and analysis through integration of a set of architecting tools, executable modeling tools, analytical tools, and visualization tools. The essential step is translating SysML-based specifications into Colored Petri Nets (CPNs) which enables rigorous static and dynamic system analysis as well as formal verification of the behavior and functionality of the SysML-based design. A set of tools have been studied and integrated that enable a structured architecture design process. Some basic principles of executable system architecture for discrete event system modeling that guide the process of executable architecture specification and analysis are discussed. This paradigm is aimed at general system design. Its feasibility was demonstrated with a C4-type network centric system as an example. The simulation results was used to check the overall integrity and internal consistency of the architecture models, refine the architecture design, and, finally, verify the behavior and functionality of the system being modeled.

关键词： Discrete-event system SysML CPN Modeling Executable Architecture

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Scaling Limitations of Line TFETs at Sub-8-nm Technology Node

Scaling Limitations of Line TFETs at Sub-8-nm Technology Nod...

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2020 International Symposium on VLSI Technology, systems and Applications, VLSI-TSA 2020

作者： Thoti, Narasimhulu Li, Yiming Kola, Sekhar Reddy Parallel and Scientific Computing Laboratory Eecs International Graduate Program Institute of Communications Engineering Department of Electrical and Computer Engineering Center for MmWave Smart Radar System and Technologies National Chiao Tung University 1001 Ta-Hsueh Rd Hsinchu300 Taiwan

ISBN: (纸本)9781728142326

The scope of the work is to investigate limitations in device scaling by identifying various parameters of short channel effects (SCEs) in current challenging geometries of the line tunnel field effect transistors (TFETs). Key factors of the considered device, such as the doping and the thickness (tn) of n-epitaxial region, and source-to-drain length (LSDeff) scaling cannot be tuned anymore to boost the device characteristics for the sub-8-nm technology node. The main results of this study indicates that the engineering acceptable performance are achieved at a low doping of 5 1018 cm-3, an optimal tn as low (about 0.5 nm), and a LSDeff greater than 12.5 nm. Hence, the line TFETs below sub-8-nm faces serious bottleneck of scaling and cannot be further scaled with the conventional scaling rule at all. © 2020 IEEE.

关键词： Tunnel field effect transistors

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