Digital Commons Network^™

Assessing Computer Vision Based Conflict Detection In Uas Traffic Monitoring Under Secure Communication Constraints, Fadjimata Issoufou Anaroua

Doctoral Dissertations and Master's Theses

The rapid growth of Unmanned Aircraft Systems (UAS) and Advanced Air Mobility (AAM) is creating a new low-altitude airspace ecosystem where drones, air taxis, service suppliers, communication networks, sensors, and ground-based monitoring systems must work together safely. Within this ecosystem, UAS Traffic Management (UTM) is expected to provide a digital framework for coordinating operations beyond traditional air traffic control. However, reliable integration also requires resilient monitoring methods that can detect non-cooperative aircraft, protect communication links, and maintain timely situational awareness under real-world constraints.

This dissertation examines how computer vision can support cooperative monitoring systems such as Remote ID and ADS-B …

Scraping The Earth: Testing Ndvi As An Indicator Of Military Ground Maneuver Within The Israeli Invasion Of The Gaza Strip, Thomas A. Bergeron

LSU Master's Theses

The advancement of open-source (OSINT) and geospatial intelligence (GEOINT) has allowed independent researchers to study human conflict in new ways, with tools that were previously reserved only for state intelligence agencies. In order to advance methodologies, researchers must continue to evaluate new tools to study war.  Valued for its accessibility and moderate spatial resolution, the Normalized Difference Vegetation Index (NDVI) is one such tool that has not been widely systematically tested for its use in an open-source GEOINT investigation of modern conflict. This study tests NDVI as an indicator of military maneuver by leveraging a mixed-method approach against open-source kinetic …

Trustworthy Artificial Intelligence For Real-Time Quality Assurance In Additive Manufacturing, Md Shafikul Islam

LSU Master's Theses

Additive manufacturing requires quality assurance methods capable of detecting process anomalies before defects propagate across subsequent layers. This thesis develops a trustworthy artificial intelligence framework for real-time surface anomaly detection in Fused Deposition Modeling (FDM) using laser-derived depth maps and Vision Transformers (ViTs). Conventional convolutional models aggregate global context gradually through stacked local kernels, which can limit their sensitivity to spatially distributed surface deviations. The proposed approach instead tokenizes depth-map patches and applies global self-attention to classify four process conditions: normal printing, under-extrusion, over-extrusion, and empty or void regions. The framework combines token-level attention visualization, vanilla saliency, Integrated Gradients, and …

The Effects Of Differential Exposure To Learning Trials On Maintenance Of Behavior Analytic Terminology, Kara Adams

Doctoral Dissertations - College of Arts and Sciences

Previous research has demonstrated the efficacy of continued practice of a task beyond one correct instance on maintenance of a variety of tasks, including vocabulary, city-country pairs, and mazes. Overlearning refers to the improved maintenance of performance on a task as a result of continued practice beyond one errorless trial. The current study established behavioranalytic term definitions and evaluated the effects of differential exposure to learning trials beyond mastery on maintenance of term definitions across substantially longer intervals than previously studied. Six individuals enrolled in a graduate program in applied behavior analysis participated in this study. We systematically manipulated the …

The Strategic Role Of Frontline Sales Personnel In Semiconductor Manufacturing Markets, Daisuke Yahiro

Jesselton Journal of Educators and Scholars

This study examines the strategic role of frontline sales personnel within semiconductor manufacturing environments characterized by technological volatility, operational interdependence, and evolving customer demands. Drawing upon emergent strategy, strategy-as-practice, and organizational sensemaking perspectives, the study explores how frontline personnel contribute to organizational responsiveness and strategy formation beyond conventional execution-oriented roles. A qualitative interpretive research design grounded in pragmatism and symbolic interactionism was adopted. Data were collected through semi-structured interviews involving 12 participants engaged in semiconductor manufacturing sales, customer coordination, and managerial activities in Japan. The findings reveal that frontline personnel function as strategically embedded organizational actors who contribute to operational …

Language Learner To Author: Ai-Assisted Children's Book And Theme Song Creation For Community Outreach, Hea Young Chun

Generative AI Teaching Activities

Students will use AI tools to create original children's storybooks, complete with accompanying theme songs, and subsequently present their finished works to students at local schools.

Prediction Model Of Green Grape Water Loss Rate Based On Multi-Model Soft Voting Fusion, Fan Gai, Jing Min, Ji Feng, Ma Maosen, Yao Xiaomin

Food and Machinery

[Objective] This study aims to achieve rapid and non-destructive detection of the water loss rate in green grapes, control losses, and ensure quality. Based on an LED-induced fluorescence spectroscopy system, a prediction method combining collected spectral data with a multi-model soft voting fusion approach was proposed for green grape water loss rate estimation. [Methods] Spectral data from 100 green grape samples were collected. Preprocessing was performed using multivariate scatter correction (MSC), standard normal variate transformation (SNV), normalization, and Savitzky–Golay (SG) filtering. Feature wavelength selection was carried out using the successive projections algorithm. Based on this, prediction models for the green …

Screening Of Weizmannia Coagulans With High Stress Tolerance, Xiao Xue, Yu Wendi, Hu Yuanliang, Zhang Xicai, Yu Xiang

Food and Machinery

[Objective] To isolate and screen novel Weizmannia coagulans strains with high stress tolerance. [Methods] Using commercially fermented pickle brine as the sample, W. coagulans strains were isolated, purified, and identified by selective culture medium methods, morphological observation, physiological and biochemical characterization, and 16S rDNA sequencing. Taking survival rate as the evaluation index, the stress tolerance of the isolated strains and three laboratory-preserved W. coagulans strains was determined under high-temperature (80–100 ℃), acidic (pH 2.0–3.0), and bile salt (0.1%–0.5%) conditions. Principal component analysis (PCA) was applied to comprehensively assess the stress tolerance of the tested strains. [Results] Two W. coagulans strains, …

Effect Of Extraction Methods On Emulsifying Properties Of Corn Fiber Gum, Wu Chenglong, Ren Ying, Li Xingguo, Tang Leiming, Sun Xiaohong

Food and Machinery

[Objective] To investigate the influence of three extraction methods (alkaline, enzymatic, and acidic) on the emulsification characteristics of corn fiber gum (CFG). [Methods] Corn bran was used as the raw material, and CFG was extracted using sodium hydroxide, xylanase, and formic–acetic acid–water solutions. The changes in particle size, zeta potential, rheological properties, creaming index, appearance, and microstructure of CFG emulsions were measured. [Results] All three CFG emulsions exhibited shear-thinning behavior, with viscosities decreasing as the shear rate increased. The enzymatically extracted CFG emulsion had the highest viscosity, best gel properties, smallest particle size [(751.6 ± 22.5) nm], highest absolute zeta …

Evaluation And Improvement Of Method For Uncertainty In The Determination Of Lead In Tea By Icp-Ms, Sun Yingze

Food and Machinery

[Objective] To evaluate the uncertainty in the determination of lead in tea by inductively coupled plasma–mass spectrometry (ICP-MS) and to improve the method so as to enhance the quality of the analytical results. [Methods] Based on the mathematical model and the experimental procedure, the sources of uncertainty components were analyzed and combined. [Results] When the lead content in tea was 0.346 mg/kg, the expanded uncertainty was 0.026 mg/kg at a 95% confidence level (k = 2). After method improvement, the combined relative standard uncertainty decreased from 0.038 to 0.019, and the expanded uncertainty decreased from 0.026 mg/kg to 0.013 mg/kg. …

Quantitative Analysis Of Sorghum Starch Using Machine Learning And Near-Infrared Spectroscopy, Li Ke, Ouyang Runkun, Dai Yijie, Li Jie, Hou Aixiang, Yang Yu, Li Zongjun

Food and Machinery

[Objective] To establish a model for the rapid quantification of sorghum starch based on near-infrared spectroscopy and machine learning algorithms. [Methods] Brewing sorghum was used as the raw material. Near-infrared diffuse reflectance spectra were collected using a near-infrared spectrometer. The Isolation Forest algorithm was employed to remove outlier samples and optimize the dataset. Subsequently, multiple preprocessing methods and regression models were compared using various modeling software to analyze and establish a quantitative model for sorghum starch. [Results] After preprocessing with the Isolation Forest algorithm, the partial least squares regression (PLSR) model exhibited the best performance, with a coefficient of determination …

An Ai-Driven Safety Traceability And Monitoring System For Food Cold Chain, Zeng Xiaoqing, Zhang Yuyue, Xie Wenqing, Zhou Jianhua

Food and Machinery

Targeting the three major obstacles—information fragmentation, delayed risk response, and ambiguous accountability—in food cold chain safety governance, this study constructs an integrated cold chain safety traceability and monitoring system centered on artificial intelligence technology and incorporating the Internet of Things and blockchain. On the basis of a comprehensive risk analysis of the entire food cold chain process, and drawing on theoretical frameworks including supply chain resilience theory, information asymmetry theory, HACCP, and ISO 22000 food safety standards, this study designs a system architecture organized around five functional modules: multi-source data collection and traceability, dynamic food quality assessment, risk prediction and …

Terminal Control Method Of Parallel Food Sorting Robot With Multi-Algorithm Fusion, He Qing, Wu Tianfeng, Zhao Yini

Food and Machinery

[Objective] To address the problems of low trajectory tracking accuracy, delayed dynamic response, poor adaptability to external disturbances, and difficulty in meeting the requirements of high-speed and high-precision food sorting in the existing end-effector control of parallel food sorting robots. [Methods] A food sorting system based on a DELTA parallel robot was developed, and an end-effector control strategy integrating an improved whale optimization algorithm, adaptive fuzzy control, and nonsingular fast terminal sliding mode control was designed. Adaptive fuzzy control was used to adjust the output gain in real time to enhance controller tracking accuracy. The improved whale optimization algorithm was …

Effect Of Double-Bin Plansifter Motion Parameters On Sieving Efficiency, Li Shuang, Wang Fengcheng, Deng Xiangzhi, Li Xinze, Zhang Baowei, Fu Yunfeng, Xue Chunzhi

Food and Machinery

[Objective] The aim is to explore the effect of double-bin plansifter motion parameters on the material sieving efficiency of different systems after wheat milling. [Methods] The milled materials produced by the break system, tailing roll, and scratch system, obtained from a typical milling production line, were selected as raw materials. The double-bin plansifter was used to sieve different materials to investigate the variations in residence time inside the sieve body and in sieving performance under different motion parameters of milled materials in each system. The motion parameters with the optimal sieving performance for the milled materials from each system were …

Preparation Of Cellulose Nanocrystals From The Shells Of Camellia Oleifera Abel And Their Effect On The Stability Of Camellia Oil Pickering Emulsions, Jin Sheng, Xie Shuting, Xiao Zhihong, Li Changzhu, Wang Jianhui

Food and Machinery

[Objective] To prepare cellulose nanocrystals from the shells of Camellia oleifera Abel (SCOA–CNCs) for stabilizing camellia oil Pickering emulsions, and to investigate the storage stability and environmental stability of the resulting emulsions. [Methods] Cellulose is extracted from SCOA through bleaching and alkali treatment, and SCOA–CNCs are prepared by sulfuric acid hydrolysis and characterized by scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FT-IR), and X-ray diffraction (XRD). The SCOA–CNCs are employed to stabilize camellia oil Pickering emulsions; the effects of the oil-to-water ratio and particle concentration on the emulsions are examined, and the stability of the emulsions under different environmental …

A Multi-Defect Detection System Based On Improved Yolov 8s And Morphological Features For Fragrant Pear Grading, Wang Jinkai, Wu Chenchen, Cheng Rouxin, Wu Rentao

Food and Machinery

[Objective] To address the high missed detection rate of defective fruits and poor grading accuracy in current post-harvest fragrant pear sorting. [Methods] On the basis of an existing visual inspection system for fragrant pears, a machine vision detection system integrating an improved YOLOv8s algorithm and multi-dimensional morphological features is designed. An ECA attention module is introduced to enhance the model sensitivity to subtle defects, enabling fast and precise localization and segmentation of pears. Conventional morphological feature extraction is employed to conduct multi-dimensional shape analysis for identifying and rejecting defective fruits. Pressure-sensitive sensors are then used to grade the remaining qualified …

Ameliorative Effects And Mechanisms Of Crocetin On Insulin Resistance In High-Fat Diet-Induced Diabetic Mice, Wen Jing, Qin Si, Lyu Chenghao

Food and Machinery

[Objective] To investigate the hypoglycemic, lipid-lowering, anti-inflammatory, and antioxidant effects of crocetin in high-fat diet (HFD)-induced diabetic mice, and to preliminarily explore its regulatory effects on hepatic insulin signaling pathways and protein S-nitrosylation levels. [Methods] An insulin resistance model was established in C57BL/6J mice by HFD feeding. Mice were administered low (5 mg/kg), medium (10 mg/kg), or high (20 mg/kg) doses of crocetin for 8 weeks, with metformin (200 mg/kg) used as a positive control. Fasting blood glucose, oral glucose tolerance, serum insulin, lipid profiles, hepatic oxidative stress, and inflammatory cytokines were measured. Western blot was used to detect phosphorylation …

Study On Structural Characteristics And Immunomodulatory Activity Of Flammulina Velutipes Crude Polysaccharide, Wang Xinnuo, Peng Chujun, Jin Yumeng, Zhang Molan, You Lijun

Food and Machinery

[Objective] To prepare Flammulina velutipes crude polysaccharide (FVP) and evaluate its structural characteristics and immunomodulatory activity. [Methods] FVP was prepared from Flammulina velutipes using hot-water extraction and ethanol precipitation, and its structural characteristics were characterized by combining Fourier transform infrared spectroscopy (FTIR) and high-performance size-exclusion chromatography–multi-angle laser light scattering–refractive index detection (HPSEC–MALLS–RI). The immunomodulatory activity of FVP was evaluated using RAW 264.7 macrophages and a cyclophosphamide-induced immunosuppressed mouse model. [Results] The total sugar content of FVP is (51.39 ± 1.36) g/100 g. Structural characterization results show that FVP has characteristic features of a β-type pyranose ring and exhibits a multi-component …

Comparative Analysis Of Beef Quality From Bashan Region, Wan Xiaohui, Yao Pingbo, Zhang Duoduo, Ma Xiaowen, Tang Youxue, Liu Yongfeng

Food and Machinery

[Objective] To clarify the unique quality of beef from the Bashan region. [Methods] Xizhen cattle beef from the eastern, southern, south-central, central, and northern regions of Zhenba County, Shaanxi Province, is taken as the material to investigate the differences in nutritional quality (moisture, protein, fat, and minerals) and eating quality (color, texture, and flavor). [Results] Zhenba beef has unique qualities, such as high protein and total mineral content, compared with the nutrient composition of beef in the food nutrient composition database published by the National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention. For nutritional quality, …

Comparison And Optimization Of Glycoprotein Extraction Processes For Six Panax Medicinal Herbs Using Ultra-High Pressure Extraction Technology, Chang Fangyu, Zang Hao, Cheng Liye, Han Lusheng, Du Lianyun, Wang Enpeng

Food and Machinery

[Objective] To comprehensively compare and screen glycoprotein preparation processes for six representative medicinal materials from the genus Panax. [Methods] Glycoprotein yield, DPPH radical scavenging capacity, hydroxyl radical scavenging capacity, and Fe2+ chelation inhibition rate were used as evaluation indicators. Glycoprotein extraction rates and antioxidant activities of six medicinal materials, including P. ginseng, P. notoginseng, P. quinquefolius, P. japonicus (T. Nees) C. A. Mey., P. stipuleanatus H. T. Tsai & K. M. Feng, and P. bipinnatifidus Seem, were compared using traditional thermal extraction and ultra-high pressure processing (UHPP). The Box–Behnken response surface method was employed to optimize UHPP parameters for P. …

Optimization Of Probiotic Fermentation Process And Effects Of Drying Methods On The Quality Of Sea Buckthorn Leaves, Dong Xiaoyue, Yun Xueyan, Zhang Lu, Dong Tongliga, Zhao Chenxi, Te Jinwei, Wang Xiukuan, Hao Qian, Miao Meishu, Su Ke

Food and Machinery

[Objective] To investigate the effects of probiotic fermentation conditions and drying methods on the quality of fermented sea buckthorn leaf products. [Methods] Lactiplantibacillus plantarum is used for fermentation. The fermentation process of sea buckthorn leaves is optimized through single-factor experiments combined with response surface methodology. Fermented sea buckthorn leaf extract is prepared under the optimal fermentation conditions and subsequently processed into freeze-dried powder by direct freeze-drying and spray freeze-drying, with or without low-voltage electrostatic field assistance. The effects of different treatments on viable cell counts, flavonoid and polyphenol retention rates, water activity, and in vitro digestion characteristics are evaluated. [Results] …

Extraction Process Optimization Of Camellia Sinensis Flavonoids And Their Antioxidant Activity, Tu Jianqiu, Xu Danhe, Chen Long, Wang Yaxin, Xu Jiahui, Jing Lixiang, Li Jianfang

Food and Machinery

[Objective] To optimize the extraction process of flavonoids from Xinyang Camellia sinensis and to compare the in vitro antioxidant activities of total flavonoids before and after purification. [Methods] Using Xinyang C. sinensis as raw material, a one-factor test is conducted to investigate the effects of ethanol volume fraction, ultrasonic time, ultrasonic power, and material–liquid ratio on the yield of flavonoids. Subsequently, a three-factor, three-level optimization model is established based on the Box–Behnken experimental design. Additionally, a macroporous adsorption resin is utilized for the purification of flavonoid crude extracts. Finally, the in vitro antioxidant activity of the total flavonoids is evaluated …

Research Progress On Tubular Chain Conveyors And Their Applications In The Grain, Oil And Food Industry, Wu Weiwei, Xia Chaoyong, Sui Sai

Food and Machinery

Tubular chain conveyors have become core equipment in modern bulk material handling by virtue of their significant advantages, including highly efficient conveying, fully enclosed operation, and three-dimensional flexible spatial layout. This paper systematically reviews the current status and progress of research on tubular chain conveyors both domestically and internationally, and provides an in-depth analysis of their technological evolution, core theoretical framework, and industrial adaptability. Emphasis is placed on reviewing their engineering applications in the grain, oil, and food industry. In view of the remaining deficiencies in current research concerning adaptability to extreme operating conditions, multi-physics coupling mechanism modeling, large-scale implementation …

Research Progress In Production Process And Flavor Modulation Mechanisms Of Cooking Wine, An Nan, Liu Gongliang, Bai Weidong, Tong Xing, Wang Hong

Food and Machinery

As a core condiment in traditional Chinese cuisine, the flavor modulation mechanisms of cooking wine are closely related to its production processes. This review systematically organizes the three major production systems of cooking wine, i.e., brewed, blended, and seasoned, comparing their differences in base-wine origin, flavor-formation pathways, and product stability. By integrating the latest developments in flavoromics, molecular interactions, and intelligent fermentation, it provides a systematic analysis of the relationship between production process differences and flavor formation mechanisms. The paper clarifies the multi-stage “dissolution–modification–suppression” mechanism for off-flavor removal and proposes a metabolic flux-directed process optimization pathway. Additionally, it explores the …

Progress On The Nutrient Components, Functional Activities, And Utilization Of Dictyophora Rubrovalvata, Zhang Lunqing, Wang Xianxing, Li Qiaoqiao, Xu Cunbin, Wang Yu

Food and Machinery

Dictyophora rubrovalvata, a valuable edible fungus in China, is rich in active components such as polysaccharides, proteins, amino acids, and vitamins, exhibiting significant efficacy in antioxidant, anti-fatigue, antitumor, immunomodulatory, hepatoprotective, and anti-inflammatory activities. This paper systematically reviews recent research progress on the nutritional components, functional activities, and utilization status of D. rubrovalvata, both in China and elsewhere, with an outlook on its future development directions and application prospects.

Sustainable Design Strategies For Regional Food Packaging Based On The Dual Circulation Of Matter And Culture, Jin Yuhan, Wang Chao, Hou Zhigang

Food and Machinery

In response to the current focus on material circulation in regional food packaging research and the lack of mechanisms for the dissemination of regional culture, this study explores a sustainable design pathway for the coordinated development of cultural and material circulation in the context of new retail. Taking a high-end apple gift box as a practice-based validation object, a dual-circulation packaging system integrating material and cultural circulation was constructed and validated from four aspects, i.e., material selection, structural innovation, visual narrative, and interactive experience, based on the triple bottom line (TBL) and cradle-to-cradle (C2C) theories. The use of locally sourced …

Using “You” As A Subject In Biology Assessment Questions: Examining Student Preferences For Second-Person Framing, Noelle Clark, Kate Hill, Jeremy L. Hsu

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

In college biology courses, exams and quizzes are often used to assess students’ knowledge and performance. Since assessments are a crucial part of biology classes, there has been a wide range of work examining how assessment questions are written, revealing that small changes in how such questions are worded may have large impacts on students’ reading comprehension and performance. One aspect that instructors consider when writing a question is subject framing, i.e., which individual, if any, is being placed as the focal point of the question. In this study, we focus on the following subject framings, an authentic scientist, a …

Staff Education On Improving Abnormal Involuntary Movement Scale (Aims) Documentation And Monitoring For Adult Psychiatric Patients Prescribed Antipsychotic Medications In An Outpatient Clinic, Simisola M. Asekun

Walden Dissertations and Doctoral Studies

In outpatient psychiatric settings, inconsistent recordkeeping and a lack of systematic monitoring continue despite the availability of established tools like Abnormal Involuntary Movement Scale (AIMS). The goal of this Doctor of Nursing Practice project was to enhance the documentation and quality improvement through staff education and monitoring of AIMS in adult mental patients receiving antipsychotic medications. Tardive dyskinesia (TD) is still a serious, frequently misdiagnosed side effect of long-term antipsychotic therapy that significantly affects functional outcomes and patient quality of life. This project was guided by the following practice-focused question: How does implementing standardized AIMS documentation and electronic health record …

Human-Driven, Autonomous, Or Hybrid? The Optimal Fleet Configurations For Ride-Hailing Platforms, Wenjing Li, Yali Zhang, Jun Sun, Zhaojun Yang

Information Systems Faculty Publications

The growing commercialization of autonomous vehicles (AVs) is reshaping consumer service preferences and prompting ride-hailing platforms to redesign fleet structures that accommodate the coexistence of human-driven vehicles (HVs) and AVs. This article develops a queueing game framework that incorporates vehicle heterogeneity and consumer preference differences to systematically compare three fleet configuration strategies: the pure HV (PHV) strategy (HVs only), the pure AV (PAV) strategy (AVs only), and the hybrid strategy (both HVs and AVs). The analysis highlights how consumer mismatch losses, AV operating costs, and service rates jointly shape equilibrium outcomes. Results show that when consumer mismatch losses are moderate, …

Barry Conservation Camp Family Guide, Andy Schafermeyer

UNH Cooperative Extension

No abstract provided.