Miracle-dz/UniFAR-FTUs huggingface dataset:
ACCOUNTING FOR SERIAL CORRELATION IN COUNT MODELS OF TRAFFIC SAFETY

This research explores the impact of inflated variances on statistical significance and identification of variables correlated with median crossover accident frequencies. In roadway and accident data that is comprised of cross-sectional panels, serial-correlation effects across time arise due to shared unobserved effects through random error terms. We use an empirical technique to adjust for downward bias in standard errors in count models of traffic accidents, so that proper identification of variables is ensured. The identified model structures reflect the impact of inflated significance values, and provide specifications that include truly significant geometric, traffic and environmental effects contributing to median crossover accidents. It should be noted that the results from this study are localized and hence limited to inferences from the median crossover context in Washington State in the United States. Further study is required to ensure the transferability of these findings to other contexts.
Topology Analysis of a Metabolic Functional Gene Transcriptional Regulatory Network of Escherichia Coli

Under the perspectives of network science and systems biology, the characterizations of transcriptional regulatory networks (TRNs) beyond the context of model organisms have been studied extensively. However, little is still known about the structure and functionality of TRNs that control metabolic physiological processes. In this study, we present a newly version of the TRN of E.coli controlling metabolism based on functional annotations from GeneProtEC and Gene Ontology (GO). We also present an exhaustive topological analysis of the metabolic transcriptional regulatory network (MTRN), focusing on the main statistical characterization describing the topological structure and the comparison with TRN. From the results in this paper we infer that TRN and MTRN have very similar characteristic distribution.
Sensor Noise Assessment Approach in a Patterned Region

In this paper, we propose a simple noise assessment approach for sensors. We assume the input signal is contaminated by white additive and zero mean Gaussian noise which. To measure the noise level, we the intensity-homogeneous blocks are found first, and then we evaluate the noise variance in the blocks. To determined intensity-homogeneous blocks, we use high pass filter. Experimental results show that the presented method provides good performance for natural and artificial images over a large range of noise levels.
Analysis on Financial Support Efficiency of Strategic Emerging Industries Based on DEA - Tobit Model

Cultivating and developing strategic emerging industries is very important for promoting the rapid transformation of economic development mode, and adjusting and optimizing the economic structure. Financial support plays the role of guidance and support in the development process of strategic emerging industries. Based on the measurement results for financial support of strategic emerging industries in Guangdong, the paper constructs Tobit model analyzing factors which influence efficiency. The empirical results indicate that the reason why the average value of comprehensive efficiency of financial support for strategic emerging industries in Guangdong is lower scale efficiency. Financial subsidy, tax preference and government procurement is good for improving the efficiency of financial support, and financial subsidy has the most evident effect. Therefore, we should use the means of marketization operation to improve the availability efficiency of financial fund, realize recycle of financial funds, and takes different financial support measures in different development stages of strategic emerging industries.
Music Genre Classification System Using Decorrelated Filter Bank

Music recordings have been digitalized such that huge size of music database is available to the public. Thus, the automatic classification system of music genres is required to effectively manage the growing music database. Mel-Frequency Cepstral Coefficient (MFCC) is a popular feature vector for genre classification. In this paper, the combined super-vector with Decorrelated Filter Bank (DFB) and Octave-based Spectral Contrast (OSC) using texture windows is processed by Support Vector Machine (SVM) for genre classification. Even with the lower order of the feature vector, the proposed super-vector produces 4.2 % improved classification accuracy compared with the conventional Marsyas system.
Preliminary Design Review: GMTI Processing for the PCA Integrated Radar-Tracker Application

Abstract : This report describes ground moving target indicator (GMTI) processing to be done for the PCA (polymorphous computing architecture) integrated radar-tracker application. GMTI processing of the raw radar data is done to extract targets; target reports are passed on to the tracker part of the integrated radar-tracker application. The GMTI processing described in this report is used to minimize the effects of interference patterns and ground clutter and to recognize and extract targets on the ground. The radar is presumed to be using a wideband signal for improved resolution. This signal is decomposed via subband filtering into many narrowband signals for easier processing. Each of these subbanded data sets must then be processed as a distinct radar data cube. For each data set, adaptive processing is used to null interference patterns and ground clutter noise. These operations incur a high computational cost. Subband filtering requires many parallel modulators and filters, while adaptive processing requires the calculation of an adaptive filter (involving a QR decomposition and forward/backsolving) at run time for each subband data cube.
Seismic Response Evaluation of Actively Controlled Structures

An optimal control force of elastoplastic hysteretic structural seismic response is derived and the possible simplification of this force is examined. Based on this simplification, a velocity-feedback type of control force with saturation is considered in order to examine the influence of an insufficient control force on elastoplastic structural seismic response. The seismic response is estimated based on the probabilistic approach, where the equivalent linearization is valid for both nonlinear hysteretic characteristics of the restoring force and nonlinear saturation characteristics of the control force. Numerical examples are given for bilinear hysteretic systems with single degrees of freedom.
Unsteady aerodynamics of a flapped airfoil in subsonic flow by indicial concepts

An approach based on indicial concepts is described to model the unsteady airloads on a thin airfoil in subsonic compressible flow caused by the arbitrary motion of a trailing-edge flap. Exact indicial aerodynamic responses at small values of time as a result of flap deflection and angular deflection rate about the flap hinge are obtained from linear unsteady subsonic theory in conjunction with the aerodynamic reverse flow theorems. Using the known exact initial (piston theory) and asymptotic values of the airloads, along with an assumed analytic form for the indicial functions, these exact results are used to help obtain complete approximations for the respective indicial responses. The airloads from arbitrary flap motion in subsonic flow are subsequently obtained in state - space form. Validation of the method is conducted with experimental data for time-dependent flap motions.
Decision-Making Chains in Electrical Safety for Construction Workers

AbstractElectrocution is one of the four leading causes of worker deaths in the construction sector, and thus it is paramount to identify its mechanisms. This work interprets the mechanisms of an electrical accident as a chain of decision mistakes throughout the entire task process. The objective of this paper is to visualize the decision-making chains in workplace electrical safety for construction workers. Because of construction’s “one-off” nature, the researchers narrow the decision-making chain for specific “features of work” (FOW), a group of distinct activities possessing higher occupational safety and health (OSH) risks and requiring particular attention. By analyzing National Institute of Occupational Safety and Health (NIOSH) electrocution reports, the authors identify five features of work and illustrate their decision-making chains. This work promotes electrical safety and injury prevention through the decision-making lens and contributes to the scholarly body of knowledge by introducing a com.
Towards a better future for biodiversity and people: modelling Nature Futures

The expert group on scenarios and models of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services initiated the development of the Nature Futures Framework for developing scenarios of positive futures for nature, to help inform assessments of policy options. This new scenarios and modelling Framework seeks to open up diversity and plurality of perspectives by differentiating three main value perspectives on nature – Nature for Nature (intrinsic values of nature), Nature for Society (instrumental values) and Nature as Culture (relational values). This paper describes how the Nature Futures Framework can be applied in modelling to support policy processes by identifying key interventions for change in realizing a diversity of desirable futures. First, the paper introduces and elaborates on key building blocks of the framework for developing qualitative scenarios and translating them into quantitative scenarios: i) multiple value perspectives on nature and the Nature Futures frontier representing diverse preferences, ii) incorporating mutual and key feedbacks of social-ecological systems in Nature Futures scenarios, and iii) indicators describing the evolution of social-ecological systems with complementary knowledge and data. This paper then presents three possible application approaches to modelling Nature Futures scenarios to support the i) review, ii) implementation and iii) design phases of policy processes. The main objective of this paper is to facilitate the integration of the relational values of nature in models, through improved indicators and other forms of evidence, and to strengthen modelled linkages across biodiversity, ecosystems, nature’s contributions to people, and quality of life to identify science- and knowledge-based interventions and to enhance ecological understanding for achieving sustainable futures. The paper aims at stimulating the development of new scenarios and models based on this new framework by a wide community of modelers, and the testing and possible further development of the framework, particularly in the context of future IPBES assessments.
Adaptive combined space-filling and D-optimal designs

In the beginning of sequential experimentation, space-filling designs are more appropriate for exploring process behaviour since they do not require any assumptions about the underlying model. In the latter stages of sequential experimentation, however, when data are collected and more knowledge about the process behaviour is gathered, model-based optimal designs may be more appropriate. This article proposes an adaptive combined design (ACD) balancing the characteristics of both design criteria at different stages of the sequential experiments. The tuning parameter associated with the ACD adaptively gauges the amount of process knowledge gain, which is used to improve the estimation of model parameters while still allowing for the exploration of model uncertainties. Rather than employing the weighted-sum method, an -constraint method is proposed to balance the two design criteria. Property investigation shows that the ACD provides better estimation of parameters over the space-filling design, and yet is more robust against model misspecification when compared to optimal designs. Simulated and real-life nanofabrication examples illustrate the needs of the ACD and the interesting features of the tuning parameter in searching for the process optimum.
The best practices of port sustainable development: a case study in Korea

ABSTRACT This paper aims to examine the main practices that shape sustainable port development in the context of Korean ports and generalize a typology of port–stakeholder decision framework for sustainable port development. First, the main practices of sustainable port development were examined through a comprehensive literature review and a holistic conceptual framework underpinned by sustainable development and stakeholder management theories. Semi-structured interviews were then conducted with 67 port managers in Korea. Lastly, FAHP was performed based on inputs from 18 port managers to analyze the priorities of the proposed sustainable port development practices. It was found that all proposed practices should be used for evaluating sustainable port development. It was also indicated that Optimized Operation Planning is the most important factor while Internal Environment Management is the least important factor perceived by Korean port managers. A typology of port–stakeholder framework for sustainable development was also generalized to assist port managers in making phased investment decisions. This research contributes to theory building by empirically identifying and validating the sustainable port development practices considering all three aspects of sustainability. It has also generalized a typology of port–stakeholder framework for sustainable development which can be used as a guideline for sustainable development decisions.
Effect of Masks on Cardiopulmonary Exercise Test and Lower Limb Muscle Performance for Evaluating the Safety of Wearing Surgical Masks During Aerobic Exercise in Normal Subjects: Study Protocol for A Randomized Cross-Over Trial

Background: Face masks are an important mitigation strategy against respiratory virus contact and community transmission. Sometimes, people must wear surgical mask at rest or during exercise to minimize the risk of cross-infection, but it is unclear whether wearing a surgical mask during exercise can impact cardiopulmonary health. Thus, we designed this study using the cardiopulmonary exercise test (CPET) with simultaneous surface electromyography (EMG) to objectively evaluate the impact of mask-wearing on ventilation, exercise intolerance, and aerobic functional capacity.Methods: Healthy young subjects without professional sports experience will be recruited in this randomized cross-over clinical study. The recruited subjects will be randomly allocated into two groups: Group 1 will first receive an intervention protocol (CPET wearing surgical mask) followed by 2-7days of washout. This will be followed by a control protocol (CPET without wearing surgical mask). Group 2 will receive the opposite sequence of interventions. The surface EMG data will be simultaneously collected. The primary outcome is the maximum oxygen uptake (VO2max) between the two CPETs (with or without a mask). The secondary outcomes are peak oxygen consumption (VO2), volume of carbon dioxide released (VCO2), tidal volume (VT), and EMG parameters including root mean square (RMS), and median frequency (MF). An ANOVA with a two-stage crossover will be used. Three factors will be considered for the experimental effect: the type of intervention (wearing masks or not wearing masks), the experimental periods (period I and period II), and individual differences in subjects. The paired t-test will be used to compare the differences of CPET parameters and surface EMG values between subjects with and without a mask. Discussion: This study offers insight on the use of surgical mask during aerobic exercise by CPET in the normal subjects. The data expand on the use of CPET with surface EMG for insight into the pathophysiological relationship between cardiopulmonary function and muscular motor performance.Trial registration: Chinese Clinical Trial Registry, ID: ChiCTR2000033449. Data of registration: June 1, 2020.
Development of Grid Observation Model for Particle Filter-based Mobile Robot Localization using Sonar Grid Map

This paper proposes an observation model for a particle filter-based localization using a sonar grid map. The proposed model estimates a predicted observation by considering the properties of a sonar sensor which has a large angular uncertainty. The proposed model searches a grid which has the highest probability to reflect a sonar beam using the following procedures; (1) the reliable area of a single sonar data is determined using the footprint association model; (2) the detection probability of each grid cell in a sonar beam coverage in estimated. The proposed model was applied to the particle filter based localization, and was verified by experiments in indoor environments.
Batik Classification using Deep Learning

Batik is one of the Indonesian cultural heritages that has been recognized by the global community. Indonesian batik has a vast diversity in motifs that illustrate the philosophy of life, the ancestral heritage and also reflects the origin of batik itself. Because of the manybatik motifs, problems arise in determining the type of batik itself. Therefore, we need a classification method that can classify various batik motifs automatically based on the batik images. The technique of image classification that is used widely now is deep learning method. This technique has been proven of its capacity in identifying images in high accuracy. Architecture that is widely used for the image data analysis is Convolutional Neural Network (CNN) because this architecture is able to detect and recognize objects in an image. This workproposes to use the method of CNN and VGG architecture that have been modified to overcome the problems of classification of the batik motifs. Experiments of using 2.448 batik images from 5 classes of batik motifs showed that the proposed model has successfully achieved an accuracy of 96.30%.
Spatial optical modulator (SOM): high-density diffractive laser projection display

A new type of diffractive spatial optical modulators, named SOM, has been developed by Samsung Electro-Mechanics for laser projection display. It exhibit inherent advantages of fast response time and high-performance light modulation, suitable for high quality embedded laser projection displays. The calculated efficiency and contrast ratio are 75 % and 800:1 respectively in case of 0th order, 67 % and 1000:1 respectively in case of ±1st order. The response time is as fast as 0.7 &mgr;s. Also we get the displacement of 400 nm enough to display full color with single panel in VGA format, as being 10 V driven. Optical module with VGA was successfully demonstrated for its potential applications in mobile laser projection display such as cellular phone, digital still camera and note PC product. Electrical power consumption is less than 2 W, volume is less than 13 cc. Brightness is enough to watch TV and movie in the open air, being variable up to 6 lm. Even if it's optimal diagonal image size is 10 inch, image quality does not deteriorate in the range of 5 to 50 inch because of the merit of focus-free. Due to 100 % fill factor, the image is seamless so as to be unpleasant to see the every pixel's partition. High speed of response time can make full color display with 24-bit gray scale and cause no scan line artifact, better than any other devices.
Design and implementation of high-speed digital CMOS camera driving control timing and data interface

High-speed digital cameras are progressing rapidly with the development of CMOS image sensor in these few years. In order to develop a high-speed CMOS industrial digital camera, the CMOS image sensor MI-MV13 is used. The sensor drive pulse and control timing based on Xilinx Virtex-II Pro FPGA is designed. A novel format of digital image transporting based on Camera Link data port is defined in this paper. It is implemented 1280 (H) × 1024 (V) SXGA resolution digital image transported at a high frame rate of 300 fps (frames-per-second) with 5 Pixels 10 bit compatible Camera Link Medium Configuration. In addition, these functions that adjustments of exposure beginning time, integral time, AOI (Area of Interest) output and so on, are realized in a FPGA chip. All of the function modules are embedded in a SOPC (System on a Programmable Chip), and further functions can be easily added to the chip at the second time development. Experimental results show that the design of driving control timing and data interface in FPGA is suitable for high-frame rate, low power, intelligent and miniaturization digital video camera.
Development of Real-Time Control Software for Autonomous Mobile Robot

In this paper, we introduce software development process for autonomous mobile robot with LEGO RCX. The software is designed from course analysis and a series of software design processes are applied for the development. Various control methods are devised to identify robot’s location and to optimize the running strategy. To assure realtime property and reliability of the software, we adopted software engineering processes during the development. In this paper, we report the detailed software design processes and the implementation result that we have experienced with our practical LEGO robot platform.
Development and Calibration of an Optical Magnetic Twisting Cytometry for Studying Nano-Dynamics of Living Cells

We report the development and calibration of a built optical magnetic twisting cytometry (OMTC) system. The development includes hardware assembly and software integration. The system has been calibrated in terms of its noise characteristics. The results demonstrated that in current experimental condition the system performed satisfactorily with negligible noise level. The ASM cell also exhibited stiffening in response to mechanical stimulation due to continuous twisting of beads on the cell surface, providing a useful technique for studying the role of ASM cell mechanics in pathogenesis of respiratory disease such as asthma.
Spectral band selection for color machine vision used for plant identification

A monochrome video camera and a set of narrow bandpass optical filters were used to capture images in 13 spectral bands from 400 nm to 1000 nm. Images of 4 plant species were captured. Pixel data was extracted from the images in user defined areas on the plant leaves. Attempts were made to classify the plants based on the spectral information in the extracted data.
Breast cancer treatment using Gold nanoparticles and gamma-ray photons With energy 12 Mev

Gold nanoparticles are characterised by their small size to volume ratio and extensive thermal stability. Gold nanoparticles (AuNPs) are an obvious choice in medical application due to their amenability of synthesis and functionalization, less toxicity and ease of detection. The present paper focuses on treatment of the breast cancer by high energy photons of gamma ray (12MeV.) and gold nanoparticles while preserving the shape of the breast and prevents the risk of recurrence of breast cancer. This of course in a minimum dose given for patient i.e. enhancing the radiotherapy that is used in breast cancer treatment due to pair production phenomena.
Development of a 10-Gbit/s optical soliton source

In this work we demonstrated the feasibility of a 10 Gbit/s optical soliton source based on direct modulation of a semiconductor laser. We also show that it is possible to reduce substantially the frequency chirp, induced by the direct modulation process, with a narrow optical filter. A peak power greater than 100 mW is achieved with an optical signal-to-noise ratio (OSNR) better than 39 dB. We measured the output timing jitter of the source and we show that its main contribution is due to the laser noise. We successfully test our source in a 45-km 5-channel WDM system. The stability and easy assembly of this type of source make them attractive for upgrading single or multichannel chromatic dispersion limited optical communication systems.