Digital Commons Network^™

Optimized Linear Adrc Control For A Class Of Fractional-Order Chaotic Systems, Huang Yu, Xie Tian, Wu Rui

Journal of System Simulation

Abstract: Linear active disturbance rejection control has many parameters and it is difficult to obtain appropriate parameters. Therefore, a quantum-behaved particle swarm optimization algorithm based on cosine decreasing function is proposed in this article for searching optimal LADRC parameters. In this algorithm, cosine decreasing function and updated equation of quantum-behaved particle swarm optimization algorithm are combined. By using the variable characteristic of cosine decreasing function with the increase of iteration times, the original global optimization ability of quantum particle swarm optimization is retained and its poor local optimization ability is overcome. And the simulation results show that the LADRC optimized …

Gcps Adaptive Scheduling Model Based On Cooperative Executor, Zhang Jing, Chen Yao, Sun Jun, Hongbo Fan

Journal of System Simulation

Abstract: Aiming at the problem that the uncertainty of grid cyber physical systems leads to chain failure, an adaptive GCPS dispatching model based on co-actuator is established. First, the constraint conditions of the system are analyzed. A model constraints of GCPS system is presented to describe the constraint conditions of the power system, and it is proved that it meets the consistency of the measure and representing methods. Second, the optimal value of approximation error is solved by PILOT, and the framework of CA-SADM is described. Finally, the performance index, output power accuracy and the influence of fault on the …

Analysis On The Mission Reliability For Auv Based On Monte Carlo Method, Li Juan, Kunyu Zhang, Haibo Li, Lijuan Yang, Mengdi Wang

Journal of System Simulation

Abstract: The high reliability of AUV is the necessary condition for it to complete the task satisfactorily and efficiently within the specified time. Traditional fault tree is very convenient for describing the reliability model of the system, but for large and complex system, this will significantly increase the computation of reliability parameters, thus the calculation is difficult. Because it to calculate the reliability parameters of complex systems by the traditional fault tree, this paper adopts the method of combining the minimum cut set of fault tree and Monte Carlo method to establish the reliability model for Underwater Autonomous Unmanned Vehicle …

Dynamic Inventory Routing Optimization Based On Deep Reinforcement Learning, Jianpin Zhou, Shuliu Zhang

Journal of System Simulation

Abstract: Aiming at the dynamic stochastic inventory routing problem with periodic fluctuation of demand, a novel simulation optimization approach based on deep reinforcement learning is proposed to achieving periodic steady strategy. Firstly a dynamic combinatorial optimization model is constructed. Then, by deep reinforcement learning and setting heuristic rules, the replenishment nodes set selection and the replenishment batch allocation weights in each period are determined. The simulation experimental results show that the proposed method can improve the average profit of a cycle by about 2.7% and 3.9% in low fluctuating demand case and by about 8.2% and 7.1% in high fluctuating …

Corner Localization In Digital Images Based On Radon Transform, Xuguang Wang, Zhang Qin, Su Jie

Journal of System Simulation

Abstract: Location accuracy is one of the key indexes of measuring the performance of feature point.. High location accuracy feature point detection has important implications for the applications such as 3D reconstruction, motion estimation, target tracking and recognition, image registration, etc. A corner location algorithm based on Radon transform is proposed.Edge binary images are obtained with traditional method first, ideal straight lines and curves are extracted then, potential corner locations are calculated next, fake corners are rejected finally. Experimental results on both simulation and real images show that, this method performs better than the existing methods on interest point localization …

Development Of Correlation And Regression Models Of Electric Energy Indicators Of The Equipment With Continuous Nature Of Production, I.U. Rakhmonov, N.N. Niyozov, К. Ли

Technical science and innovation

The article presents an analysis of the use of correlation-regression analysis, which is based on the methods of mathematical statistics and probability theory in the study of the power consumption of enterprises with equipment of continuous production. On the basis of the annual power consumption schedule of the electric steel-smelting shop in a monthly time section, mathematical models have been developed for the power consumption parameters. And also, on the basis of statistical data with the use of a mathematical method, mathematical expressions were obtained for the electric power consumption and the specific consumption for the main equipment of the …

Chemical Constituent And Antimalarial Activity Based On Inhibition Of Heme Polymerization From Water Extract Of Yellow Root (Arcangelisia Flava L. Merr), Yatri Hapsari, Partomuan Simanjuntak, Wien Kusharyoto, Sumi Hudiyono

Chimica et Natura Acta

In developing countries, malaria remains a disease that can spread easily and caused death. Malaria is an infectious disease caused by Plasmodium sp involving female anopheles masquitos during its transmission. Arcangelisia flava L. Merr has been investigated earlier that it can inhibited P. falciparum growth. Method of antimalarial activity based on inhibition of heme polymerization can confirm one of the mechanism of antimalarial drugs. The aim of this research to study further antimalarial activity and IC50 based on inhibition of heme polymerization and determine the chemical constituent from water extract of A. flava L. Merr. This research was conducted through …

University Of Northern Iowa Secondary Teacher Education Senate Meeting Minutes, December 12, 2019, University Of Northern Iowa. Secondary Teacher Education Senate.

Documents - Secondary Senate

Meeting minutes from the Secondary Teacher Education Senate of the University of Northern Iowa.

Relationships Between Cognitive Engagement And Self-Efficacy For High School Students Who Participate In Service-Learning, Ceola Ross Baber, Paula E. Faulkner, Dana Lyles

Journal of Research Initiatives

The purpose of this explanatory quantitative case study was to examine the relationship between service-learning, cognitive engagement, and self-efficacy for high school students. The study was conducted at a high school located in North Carolina. Fifty-one students in grades 10 to 12 participated in the study. All students in the study had participated in at least one service-learning activity prior to the study. Data was collected using the Service-Learning, Cognitive Engagement, and Self-Efficacy Questionnaire (SLCESEQ) which included items from (a) the Control and Relevance of Schoolwork subscale of the Student Engagement Instrument to measure cognitive engagement and (b) the General …

Low-Rank Multivariate General Linear Model With Relationship Between Brain Regions And Time Points, Ge Song

Theses

The human brain is hard to study and analysis, not because of the complexity of the brain structure, such as neurons and neurons connections, but also because of the complexity of the brain activities. Since in different scales, for example, different time series, different physical senses, the measurements of the human brain activities can be varied. Tring to measure the brain regions relationships in person, the Functional Magnetic Resonance Imaging (fMRI) is one of the methods. The focus of this paper is on analyzing human brain regions relationships in different time domains and different scans of fMRI by using low-rank …

Stellar Chromospheric Activity And Age Relation From Open Clusters In The Lamost Survey, Jiajun Zhang, Terry Oswalt, Jingkun Zhao, Xiangsong Fang, Gang Zhao, Xilong Liang, Xianhao Ye, Jing Zhong

Publications

No abstract provided.

Influencing Factors On The Velocity And Temperature Of Propagating Fronts In Acrylate Composites, Samuel Morris Bynum

LSU Doctoral Dissertations

Thermal frontal polymerization is a type of polymerization in which a localized reaction zone propagates through an unstirred system. It is incumbent upon the production and transport of heat produced as a result of the exothermic reaction associated with free-radical polymerization. First discovered in the 1970s, frontal polymerization has been since utilized to produce a variety of different materials, utilizing a variety of different chemistries. The temperature of the propagating front and the velocity at which it propagates can be influenced via chemical or physical means. We show that through careful selection of monomers and control of the concentration of …

Evaluating Data Quality Of Newborn Hearing Screening, Maria C. Sanchez Gomez, Kelly Dundon, Xidong Deng

Journal of Early Hearing Detection and Intervention

Scope

Jurisdictional-based Early Hearing Detection and Intervention Information Systems (EHDI-IS) collect data on the hearing screening and follow-up status of infants across the United States. These systems serve as tools that assist EHDI programs’ staff and partners in their tracking activities and provide a variety of data reports to help ensure that all children who are deaf/hard of hearing (D/HH) are identified early and receive recommended intervention services. The quality and timeliness of the data collected with these systems are crucial to effectively meeting these goals.

Methodology

Forty-eight EHDI programs, funded by the Centers for Disease Control and Prevention (CDC), …

Closely Held Corporations: An Analysis Of Subchapter S, Charles G. Kepler

Wyoming Law Journal

No abstract provided.

Demonstrative Evidence, Melvin M. Belli, Sr.

Wyoming Law Journal

No abstract provided.

Reducing Costs By Applying Activity-Based Costing System And The Possibility Of The Application In The Banking Sector:An Empirical Study On The Housing Bank For Trade Andfinance, Hasan Jameel Al- Saffar, Ahmad Yousef Areiqat

Al-Balqa Journal for Research and Studies البلقاء للبحوث والدراسات

This study aims at exploring the possibility of applying the Activity-Based Costing in the banks through a Case study of the Housing Bank for Trade and Finance. The related data was collected from the relevant literature, and the annual report of the Housing Bank for the year 2013. The researchers relied on the Bank’s income statement analysis for the year 2013, which showed that the bank allocates all the operation costs to the income summary account according to the traditional costing system. The results showed that the Bank is still applying the traditional costing system, notwithstanding the fact that the …

Modeling Growth Characteristics Of Meat-Type Guinea Fowl, Samuel N. Nahashon, Sammy E. Aggrey, Nathaniel Adefope, Abravi Amenyenu

Agricultural and Environmental Sciences Faculty Research

This study was conducted to describe the growth pattern of the French guinea fowl, a meat-type variety. Using BW data from hatch to 9 wk, 2 nonlinear mathematical functions (Gompertz and logistic) were used to estimate growth patterns of the French guinea fowl. The French guinea fowl did not exhibit sexual dimorphism for growth characteristics. From the Gompertz model, the asymptotic BW, growth rate, and age at maximum growth were 2.05 kg, 0.25 kg/wk, and 5.74 wk in males, respectively, and 2.03 kg, 0.25 kg/wk, and 5.72 wk in females, respectively. The ages at maximum growth were 5.75 and 5.74 …

Growth Characteristics Of Pearl Gray Guinea Fowl As Predicted By The Richards, Gompertz, And Logistic Models, Samuel N. Nahashon, Sammy E. Aggrey, Nathaniel Adefope, Abravi Amenyenu, D. Wright

Agricultural and Environmental Sciences Faculty Research

This study was undertaken to describe the growth pattern of the pearl gray Guinea fowl. Using BW data from hatch to 22 wk, 3 nonlinear mathematical functions (Richards, Gompertz, and logistic) were used to estimate growth patterns of the pearl gray guinea fowl. The logistic and Gompertz models are a special case of the Richards model, which has a variable point of inflection defined by the shape or growth trajectory parameter, m. The shape parameter m was 1.08 and 0.98 in males and females, respectively, suggesting that the growth pattern of the pearl gray female guinea fowl is Gompertz. The …

Precise Mass Determination Of Spt-Cl J2106-5844, The Most Massive Cluster At Z > 1, Jinhyub Kim, M. James Jee, Saul Perlmutter, Brian Hayden, David Rubin, Xiaosheng Huang, Greg Aldering, Jongwan Ko

Physics and Astronomy

We present a detailed high-resolution weak-lensing study of SPT-CL J2106-5844 at z = 1.132, claimed to be the most massive system discovered at z > 1 in the South Pole Telescope Sunyaev–Zel'dovich survey. Based on the deep imaging data from the Advanced Camera for Surveys and Wide Field Camera 3 on board the Hubble Space Telescope, we find that the cluster mass distribution is asymmetric, composed of a main clump and a subclump ~640 kpc west thereof. The central clump is further resolved into two smaller northwestern and southeastern substructures separated by ~150 kpc. We show that this rather complex …

My Search For The Meaning Behind My Teaching, Jennifer Giangrego

Master of Arts in English Plan II Graduate Projects

This portfolio addresses one instructor's journey in aligning theory with practice in the composition classroom.

Founding The Domain Of Ai Forensics, Ibrahim Baggili, Vahid Behzadan

Electrical & Computer Engineering and Computer Science Faculty Publications

With the widespread integration of AI in everyday and critical technologies, it seems inevitable to witness increasing instances of failure in AI systems. In such cases, there arises a need for technical investigations that produce legally acceptable and scientifically indisputable findings and conclusions on the causes of such failures. Inspired by the domain of cyber forensics, this paper introduces the need for the establishment of AI Forensics as a new discipline under AI safety. Furthermore, we propose a taxonomy of the subfields under this discipline, and present a discussion on the foundational challenges that lay ahead of this new research …

Building Mof Nanocomposites With Oxidized Graphitic Carbon Nitride Nanospheres: The Effect Of Framework Geometry On The Structural Heterogeneity, Dimitrios A. Giannakoudakis, Teresa J. Bandosz

Publications and Research

Composite of two MOFs, copper-based Cu-BTC (HKUST-1) and zirconium-based Zr-BDC (UiO-66), with oxidized graphitic carbon nitride nanospheres were synthesized. For comparison, pure MOFs were also obtained. The surface features were analyzed using x-ray diffraction (XRD), sorption of nitrogen, thermal analysis, and scanning electron microscopy (SEM). The incorporation of oxidized g-C3N4 to the Cu-BTC framework caused the formation of a heterogeneous material of a hierarchical pores structure, but a decreased surface area when compared to that of the parent MOF. In the case of UiO-66, functionalized nanospheres were acting as seeds around which the crystals grew. Even though the MOF phases …

Alumni News | Denbow Uses Expertise As Senior Planner In Kentucky, Ohio University College Of Arts & Sciences

All Forum Articles

No abstract provided.

A Three-Layered Robustness Analysis Of Cybersecurity: Attacks And Insights, David Schweitzer

Theses and Dissertations

Cybersecurity has become an increasingly important concern for both military and civilian infrastructure globally. Because of the complexity that comes with wireless networks, adversaries have many means of infiltration and disruption of wireless networks. While there is much research done in defending these networks, understanding the robustness of these networks is tantamount for both designing new networks and examining possible security deficiencies in preexisting networks. This dissertation proposes to examine the robustness of wireless networks on three major fronts: the physical layer, the data-link layer, and the network layer. At the physical layer, denial-of-service jamming attacks are considered, and both …

The Epsilon-Skew Rayleigh Distribution, By John Greene, John M. Greene

Theses and Dissertations

In this dissertation, a new family of skew distributions is introduced and developed, the Epsilon Skew Rayleigh. The members of this family are bimodal skewed distributions with location, scale and skewness parameters. There exist two unimodal parameter cases. The distribution can be skewed or symmetric. This distribution family has many applications including population demographics, signal dynamics, ocean wave heights and hardware failure rates. The effects of the parameters are described and developed. We derive the moment generating and maximum likelihood functions, as well as the expected value, median, modes, variance, skewness and kurtosis. The properties of a random variable with …

1/Fnoise Modelling And Characterization For Cmos Quanta Image Sensors, Wei Deng, Eric R. Fossum

Dartmouth Scholarship

This work fits the measured in-pixel source-follower noise in a CMOS Quanta Image Sensor (QIS) prototype chip using physics-based 1/f noise models, rather than the widely-used fitting model for analog designers. This paper discusses the different origins of 1/f noise in QIS devices and includes correlated double sampling (CDS). The modelling results based on the Hooge mobility fluctuation, which uses one adjustable parameter, match the experimental measurements, including the variation in noise from room temperature to –70 °C. This work provides useful information for the implementation of QIS in scientific applications and suggests that even lower read noise is attainable …

Pengaruh Bahan Organik Berbasis Gulma Paitan Dan Pupuk Npk Terhadap Sifat Kimia Tanah, Pertumbuhan, Dan Hasil Tomat Pada Ultisols, Intan Abas Nur Khairunnisa, Anung Slamet Dwi, Sapto Nugroho Hadi

Jurnal Kultivasi

Penelitian ini bertujuan untuk mengetahui pengaruh bahan organik gulma paitan dan pupuk NPK terhadap sifat kimia tanah (C organik, N, dan P total), serta pertumbuhan dan hasil tomat pada Ultisols. Penelitian dilaksanakan di screen house Fakultas Pertanian, Universitas Jenderal Soedirman, Purwokerto, pada bulan Juni sampai September 2018. Penelitian ini menggunakan rancangan perlakuan faktorial 3x3. Faktor pertama adalah bahan organik tumbuhan paitan, terdiri atas 3 taraf, yaitu 0, 125, dan 250 g/tanaman. Faktor kedua adalah dosis NPK, terdiri atas 3 taraf, yaitu 0; 3,61; dan 5,42 g/tanaman. Seluruh kombinasi perlakuan dialokasikan ke dalam unit percobaan dengan menggunakan Rancangan Acak Kelompok yang …

A Climatology Of Snowpack In The Southern Rocky Mountains And Snow To Liquid Ratio Forecasting Techniques Using Model Generated Soundings From The Rapid Refresh Model, Carson Jones

Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research

Mountainous snowpack represents up to 70% of the total water resources for areas in the western United States. Temperature and precipitation control the accumulation and ablation of the snowpack throughout the cold season, both of which are subject to a changing climate. This study will use a network of snow telemetry (SNOTEL) stations to investigate changes in the snowpack season, snow water equivalent (SWE), and temperature in the southern Rocky Mountain region. Additionally, this study will use model generated soundings from the Rapid Refresh (RAP) model to establish relationships between the depth and cloud proportion of ice crystal growth layers, …

The Influence Of Depression And Anxiety On Working Memory In Children With Adhd, Angel David

Doctor of Psychology (PsyD)

Attention Deficit-Hyperactivity Disorder (ADHD) is one of the most common disorders diagnosed in children (Feldman & Reiff, 2014). ADHD is known to impact a child’s working memory, with deficits ranging from mild to severe (Bedard et al., 2014). Research has explored the performance of working memory in children with ADHD and individual co-occurring disorders, finding that internalizing disorders such as depression and anxiety, both independently negatively impact working memory performance (Kofler et al., 2011; Saarinen et al., 2015; Skogan et al., 2013). However, there is limited research on how multiple co-occurring diagnoses in children with ADHD impact working memory. More …

Using Machine Learning Classification Methods To Detect The Presence Of Heart Disease, Nestor Pereira

Dissertations

Cardiovascular disease (CVD) is the most common cause of death in Ireland, and probably, worldwide. According to the Health Service Executive (HSE) cardiovascular disease accounting for 36% of all deaths, and one important fact, 22% of premature deaths (under age 65) are from CVD.

Using data from the Heart Disease UCI Data Set (UCI Machine Learning), we use machine learning techniques to detect the presence or absence of heart disease in the patient according to 14 features provide for this dataset. The different results are compared based on accuracy performance, confusion matrix and area under the Receiver Operating Characteristics (ROC) …