Digital Commons Network^™

Evaluation Of The Performance Of Enrofloxacin In The Detection Of Egg By Quantum Dot Microsphere Immunochromatography Strip, Zhang Fusheng, Wang Yuchen, Lu Lisheng, Deng Jiajun, Chen Junsong, Yang Linfen, Guo Jing, Wu Renwei, Lai Weihua

Food and Machinery

Objective: This study aimed to realize rapid on-site screening of enrofloxacin in eggs. Methods: According to the requirements of the “Maximum residue limit of 41 veterinary drugs in the national food safety standard” and the “Opinions on regulating the use of rapid food testing” issued by the State Market Supervision and Administration in January 2023, the spiked samples at three concentration levels of enrofloxacin were prepared. Fifty blank samples and fifty spiked samples at a concentration level of 0.5 time the standard limit requirement (5 μg/kg) were used to evaluate the false positive rate of the rapid detection method. Fifty …

Determination Of Zn2+ Cd2+ Pb2+ In Food Base On Bi-Co-Btc Electrochemical Sensor, Ding Kewu, Dai Lili, Huang Dihui, Sun Zhongwei, Ye Ruihong

Food and Machinery

Objective: This study focused on the preparation of a new electrochemical sensor for detection of heavy metal content in food. Methods: In this study, a new type of bismuth-based metal-organic framework was prepared by hydrothermal method. 1,3,5-benzenetricarboxylic acid （H₃BTC） was used as a ligand, which supplemented by bismuth nitrate pentahydrate [Bi（NO₃）₃ 5H₂O] and cobalt nitrate hexahydrate [Co（NO₃）₂·6H₂O] metal salts to prepare novel bismuth-based metal-organic frameworks. Bi-based metal-organic framework composites supported by multi-walled carbon nanotubes were prepared by ultrasonic self-assembly. The surface of glassy carbon electrode （GCE） was …

Prediction Method Of Fragrant Pear Weight Based On Kinect Camera, Zhang Runzhi, Zhang Xiao, Wu Gang

Food and Machinery

Objective: Aiming to obtain the weight of fragrant pear quickly to provide a basis for developing the fragrant pear grading device. Methods: This method acquired RGB-D images of fragrant pear by Kinect camera and converted them into point cloud data. The point cloud data was pre-processed and interpolated to generate a fragrant pear model. Then calculated the size parameter of the fragrant pear model. Finally, using the fragrant pear's volume predicted its weight. Results: Experimental results showed that the average relative error of the volume was 2.8%. Then the volume of fragrant pears was calculated by the error-compensated measurement method …

Fruit Classification System Based On The Pressure Sensor Coupled With Support Vector Machine, Wang Feifei, Liu Peng, Sun Fengwei, Zhou Qiong

Food and Machinery

Objective: To improve fruit classification accuracy while considering low computational cost and low sensor cost. Methods: A fruit classification system based on capacitive pressure sensor was proposed. The system used support vector machine algorithm with a Gaussian kernel function (GKF-SVM) to classify fruits. The capacitive pressure sensors used were made of thin copper sheets and a layer of vinyl acetate, and these sensors were fixed to the thumb and index finger of a polyamide spandex glove that simulates a robotic hand. The obtained capacitance value was expressed in the form of digital level, and the data was extracted by data …

Identification Method Of Canned Food For Production Line Sorting Robot Based On Improved Pso-Svm, Gao Haiyan, Gao Jinyang, Wang Weicheng

Food and Machinery

Objective: To solve the problems of poor accuracy and low efficiency in target recognition methods for existing sorting robots in food production lines. Methods: On the basis of the analysis of the binocular vision food sorting system, a combination of improved particle swarm optimization algorithm and support vector machine was proposed for target recognition of food sorting robots. By improving the particle swarm optimization algorithm to optimize support vector machine parameters, an optimized support vector machine classification model was obtained. The classifier was trained for both global and local features, and feature weight coefficients were dynamically assigned to obtain the …

Design Of Spherical Fruit Packing Machine Based On Ahp/Ad/Triz, Zuo Bin, Wang Renzhong, Wang Min

Food and Machinery

Objective： The paper aims to solve the large amount of packing for spherical fruit packing with unstable and unshapen with foam. Methods： A product design method based on AHP, AD and TRIZ integration was proposed in view of user demands. The weight and ranking of customer demands was obtained through AHP, the high-weights of design elements was converted to functional requirement. Then, the mapping between functional domain and physical domain of design elements was completed by means of AD axiomatic design. The design parameter sets of bevel gear packaging mechanism, spiral auxiliary mechanism, cutter mechanism and tension control mechanism were …

Research On Intelligent Real-Time Identification System Of Traffic Signs Based On Improved Recurrent Neural Network Algorithm, Wang Shaoying

Food and Machinery

Objective： In order to meet the needs of the edge computing of the Internet of Things, a recurrent neural network algorithm was introduced for the first time in this paper, and an intelligent real-time classification and recognition system was constructed to conduct research on food packaging images. Methods： To build a simulation experiment test model, firstly preprocessed the image data set, de-redundantize, grayscale, and normalized the two-dimensional image, and finally input the time-sequential data in parallel. Using a typical memristor as the research object of realizing hardware RNN, the nonlinear function of memristor was used to construct the mapping layer …

Food Freshness Recognition Method Based On Improved Resnet Model, Wan Wei, Pu Yingxue, Wang Xiang, Li Chao

Food and Machinery

Objective: Solve the problems of low detection efficiency and poor accuracy in existing food freshness recognition methods. Methods: Based on the food production line image acquisition system, an improved residual neural network model was proposed for food freshness recognition on the production line. The improved LRELU activation function was introduced to improve the recognition performance of the model, the batch normalization layer was introduced to improve the training efficiency of the model, and the Dropout layer was introduced to discard a certain proportion of neurons to reduce the impact of over fitting. Results: Compared with conventional food freshness recognition methods, …

Traditional Packaging Design For Local Food Based On The Intangible Cultural Heritage Of Shang-Jin Jun Kiln In Henan Province, Bai Mei

Food and Machinery

Focusing on the Intangible Cultural Heritage project of Shenhou Jun Porcelain in Yuzhou, this study employs methods such as literature review, archaeological findings, and field research to analyze the historical culture, appearance, connotations, and craftsmanship of Shenhou Jun Porcelain. The study summarizes the distinctive features, methods, and patterns of Shenhou Jun Porcelain, and condenses its unique cultural characteristics. It further proposes packaging design strategies that integrate intangible cultural heritage with local food products in Henan, employing techniques such as logo design, graphic design, form design, artistic design, and dynamic design.

Research On Tomato Maturity Detection Method Based On Improved Yolov4 Model, Lu Jinrui, Fu Yan, Ni Meiyu, Cao Weigang, Du Zitao

Food and Machinery

Objective: To solve the problems of low detection accuracy and large number of model parameters in existing tomato maturity detection methods. Methods: Based on the tomato image acquisition system, an improved YOLOv4 model was proposed for automatic detection of tomato maturity. Introducing the lightweight network MobileNetv3 network into the model to replace the CSPParkNet53 network, reducing model complexity. Using average pooling instead of maximum pooling in the SPP module improved the algorithm's detection accuracy for small targets. Introduced attention mechanism CBAM in the upsampling process to enhance the fusion ability of deep and shallow features, and verified the feasibility of …

Protective Effects Of Procambarus Clarkii Shell Bioactive Peptides On Oxidative Stress Injury Of Zebrafish （Danio Rerio）, He Shuwen, Zhu Haojie, Han Pengwei, Yang Saijie, Cui Bo, Cheng Yunhui, Li Honghui, Wen Li

Food and Machinery

Objective: Explore the protective effect of Procambarus clarkii shell bioactive peptides （PCSBP） on oxidative stress injury in the organism. Methods: This study using alkaline protease hydrolysis method to prepare bioactive peptides and measured their antioxidant activity in vitro. Subsequently, the protective effects of PCSBP on oxidative stress injury in zebrafish under fasting stress was analyzed. Results: The PCSBP showed potential antioxidant capacity in vitro, with scavenging rates of DPPH radicals and hydroxyl radicals at （46.35±1.32）% and （75.22±2.18）%. The final body weight, body length and muscle amino acid content of zebrafish were decreased under fasting stress, but the growth …

Process Study On Mixed Bacterial Solid-State Fermentation Of Rice Bran For The Preparation Of Oryzanol And Evaluation Of Its Antioxidant Activity, Xia Xinxin, Lin Hai, Yang Guliang, Peng Xia, He Xinle

Food and Machinery

Objective: In order to improve the yield of oryzanol of rice bran. Methods: Rice bran was selected as the research subject, and Saccharomyces cerevisiae and Bacillus subtilis were selected as solid-state fermentation strains through single-factor experiments. The mixed bacterial solid-state fermentation process was optimized by Box-Behnken response surface method combined with the single factor experiments, based on the content of oryzanol. The antioxidant activity of the fermentation extracts was evaluated using DPPH and ABTS free radical scavenging assays. Scanning electron microscopy （SEM） was used to analyze the principle of oryzanol enrichment in mixed bacterial solid-state fermentation. Results: Under the of …

Research On Brewing Technology Of Bran Sauce Baijiu And Trace Composition Analysis, Li Mingzhu, Li Yuanjie, Hou Xiaolin, Feng Jinxiao

Food and Machinery

Objective: The brewing process and product characteristics of bran sauce Baijiu starters was studied by replacing part of Daqu with bran koji. Methods: Taking sensory score value and alcohol content of wine as evaluation indexes, the effects of wheat ratio, yeast addition and amount of bran koji addition on the quality of bran sauce Baijiu were studied by univariate experiment. The brewing process of bran sauce Baijiu was optimized by response surface optimization experiment, and the trace components of liquor were analyzed by liquid chromatography. Results: The ratio of wheat in feeding quantity was 16.0%, the addition amount of sorghum …

Research Progress On The Flow Characteristics Of Secondary Refrigerants And Application Progress In Aquatic Products Storage And Preservation System, Xu Xia, Xu Mengyi, Yu Zhou, Zhou Xuxia, Ding Yuting

Food and Machinery

The secondary refrigerant is an intermediate medium for transferring cold capacity, which can improved refrigeration efficiency. In this paper, the classification and characteristics of secondary refrigerants are introduced, and discusses the flow characteristics of secondary refrigerants and the apparent viscosity changes and flow resistance characteristics during the flow of secondary refrigerants. In addition, the application of different types of secondary refrigerants in aquatic product preservation and storage system is also discussed, among which non-phase change secondary refrigerant is mainly used in food impregnation and freezing. The phase change material refrigerant is mainly used in cold storage and refrigerating truck of …

Research Progress On The Effect Of Whole Grain Components On Flour Product Qualities And Processing Characteristics, Shao Yulan, Sun Chenghang, Hu Bingbing

Food and Machinery

In this review, the effects of starch, protein, oil, polyphenols and other components in whole grains on the processing characteristics of dough and the quality of flour products were introduced, and problems and improvement measures of whole grain flour products were analyzed, in order to provide references for the research of whole grain flour products.

Multichannel Low-Cost Sensor For Iaq Monitoring: Implementation And Guidelines, Isaac Ntiamoah

LSU Master's Theses

Indoor air quality (IAQ) is adversely affected by both indoor and outdoor environments, and rental homes occupied by low-income families suffer the most. Poor indoor air can be detrimental to the health of occupants, especially for susceptible populations like those with respiratory diseases such as asthma. Although IAQ monitoring is necessary, it is a challenging, costly, and time-intensive task. Moreover, the protocol for assessing IAQ in residential settings varies, and additional research is needed to establish a standard operating procedure that incorporates new monitoring technologies, such as low-cost air sensors. However, there is a dearth of comprehensive, evidence-based protocols for …

Utc Semi-Annual Progress Report, Ali Karimoddini Ph.D.

Reports

No abstract provided.

Infrostructure(S): Administering Information, Kali Murray

Buffalo Law Review

This Article, Infrostructure(s): Administering Information, considers how authoritative entities generate, manage, and produce informational structures, facilities, and architectures that support market creation and creative economy decision-making between private parties and entities. The term infrostructure, as opposed to other terms, such as infostructure and infosphere, suggests that infrostructures play vital roles in modern democratic life including producing new information resources, facilitating private transactions between private parties, and building the administrative state.

This Article is divided into two parts. Part I discusses how information regulation is mediated through information forms and information systems with a focus on the materialities of information forms …

Broadband Quantum Enhancement Of The Ligo Detectors With Frequency-Dependent Squeezing, D. Ganapathy, W. Jia, M. Nakano, V. Xu, N. Aritomi, T. Cullen, N. Kijbunchoo, S. E. Dwyer, Francisco Llamas, Volker Quetschke

Physics & Astronomy Faculty Publications

Quantum noise imposes a fundamental limitation on the sensitivity of interferometric gravitational-wave detectors like LIGO, manifesting as shot noise and quantum radiation pressure noise. Here, we present the first realization of frequency-dependent squeezing in full-scale gravitational-wave detectors, resulting in the reduction of both shot noise and quantum radiation pressure noise, with broadband detector enhancement from tens of hertz to several kilohertz. In the LIGO Hanford detector, squeezing reduced the detector noise amplitude by a factor of 1.6 (4.0 dB) near 1 kHz; in the Livingston detector, the noise reduction was a factor of 1.9 (5.8 dB). These improvements directly impact …

Invading Nonnative Frogs Use Different Microhabitats And Change Physiology Along An Elevation Gradient, Jack R. Marchetti, Susannah S. French, Emily E. Virgin, Erin L. Lewis, Kwanho C. Ki, Layne O. Sermersheim, George A. Brusch Iv, Karen H. Beard

Wildland Resources Faculty Publications

The coqui frog (Eleutherodactylus coqui) was introduced to the island of Hawai'i in the 1980s, and has spread across much of the island. There is concern they will invade higher elevation areas where negative impacts on native species are expected. It is not known if coqui change behavior and baseline physiology in ways that allow them to invade higher elevations. We investigated where coqui are found across the island and whether that includes recent invasion into higher elevations. We also investigated whether elevation is related to coqui's microhabitat use, including substrate use and height off the forest floor, …

Μconadapter: Reinforcement Learning-Based Fast Concurrency Adaptation For Microservices In Cloud, Jianshu Liu, Shungeng Zhang, Qingyang Wang

Faculty Publications

Modern web-facing applications such as e-commerce comprise tens or hundreds of distributed and loosely coupled microservices that promise to facilitate high scalability. While hardware resource scaling approaches [28] have been proposed to address response time fluctuations in critical microservices, little attention has been given to the scaling of soft resources (e.g., threads or database connections), which control hardware resource concurrency. This paper demonstrates that optimal soft resource allocation for critical microservices significantly impacts overall system performance, particularly response time. This suggests the need for fast and intelligent runtime reallocation of soft resources as part of microservices scaling management. We introduce …

10.30.2023 Orsp Connect, Liz Williamson

ORED Newsletter

No abstract provided.

Demo-Abstract: A Dtn System For Tracking Miners Using Gae-Lstm And Contact Graph Routing In An Underground Mine, Abhay Goyal, Sanjay Kumar Madria, Samuel Frimpong

Computer Science Faculty Research & Creative Works

Localization and prediction of movement of miners in underground mines have been a constant problem more so during a mine disaster. Due to the unavailability of GPS signals, the pillars are used as a method to locate these miners, and thus, location prediction is also carried out with reference to these pillars. In this work, we demon- strate a Delay-tolerant Network (DTN) system called Miner-Finder that leverages Machine Learning (ML) framework (GAE-LSTM) that works on edge devices (e.g., mobile phones, tablets) to predict the location of miners in an underground mine. The information such as speed, angle, time, nearest pillar …

A Precise Attention Tracking System Based On Computer Vision, Jiyuan Liu, Hanwen Qi, Zhicheng Liu, Minrui Fei, Kun Zhang

Journal of System Simulation

Abstract: A precise attention tracking system based on machine vision is designed to address the difficulty in studying students' attention allocation. The system includes an image capture device and an accurate attention tracking algorithm. The image capture device can capture the clearer ocular images. The pupil center localization algorithm replaces VGG16 with lightweight MobileNetv3 and uses twostage feature fusion and center keypoint prediction techniques to improve the speed and accuracy. The algorithm achieves a speed of up to 36 frames/s and 97.42% accuracy. The gaze tracking algorithm compensates for the head movements to achieve the meticulous gaze tracking. An interactive …

Reliability Evaluation Method Of Radar Simulation Model Based On Air Combat Mechanism, Chenguang Wang, Jinpeng Bai, Tingting Li, Lifeng Miao, Kaifeng Wang

Journal of System Simulation

Abstract: In modern air combat simulation, the reliability of radar simulation model is very important. Based on simulation model VV&A theory, a cropped and suitable for engineering applications simulation model reliability evaluation method is proposed. Based on the analysis of radar use mechanism in medium and long range air combat and short range air combat is analyzed,, the requirement of radar model in air combat simulation system, the evaluation index system is established, and the reliability quantification method based on JS dispersion is proposed, which further enriches the base of basic method. The test case is designed, the simulation test …

A Fuzzy Group Decision-Making-Based Method For Green Supplier Selection And Order Allocation, Lu Liu, Wenxin Li, Xiao Song, Bingli Sun, Guanghong Gong

Journal of System Simulation

Abstract: With the intensity of market competitiveness, the worsening of the global environment, and the improvement of public concern about environmental protection, the issue of green purchasing has received considerable attention. The vast majority of existing studies on green purchasing have concentrated on supplier selection with green criteria, so as to realize sustainable operations, whereas it is more feasible and economical for businesses to obtain the proper products from adaptable and suitable suppliers at the right times, rates, and volumes, which is referred to as supplier selection and order allocation. To resolve the aforementioned two crucial challenges, we propose a …

A Hybrid Empirical Method For Fast Modeling Of Ship Manoeuvring Motion, Peng Wu, Zongmo Yang, Qianfeng Jing, Yulin Li

Journal of System Simulation

Abstract: Simulation testing is an important means to verify the functions of intelligent ships. Ship maneuvering motion modeling and simulation is the key theoretical basis for the intelligent collision avoidance of multiple vessels in complex sea areas. To address the problem that the calculation of the hydrodynamic coefficients required for ship maneuvering modeling is complex and difficult to obtain, a hybrid empirical method is proposed, a combination method of the existing regression methods is established, the comprehensive performance indicators are constructed, the optimal hydrodynamic coefficients groups are selected by simulated maneuvering experiments, and a rapid modeling program code is developed …

Modeling And Analysis On Scattering Characteristics Automatic Driving Radar Bands In Rainy Environment, Mengfan Zou, Xiaoyu He

Journal of System Simulation

Abstract: The operating frequency band of modern communication and radar systems has extended to millimeter wave and terahertz frequency band, and the analysis on propagation characteristics of electromagnetic signals in rainy environment is important. A calculation model through Mie scattering theory is built to simulate the attenuation and the scattering of electromagnetic signals in rainy environments. Different types of raindrop size distribution function are adopted to analyze the propagation attenuation under different rainfall of frequencies spanning from 1 GHz to 1 THz. Experimental results are compared with international telecommunication union (ITU) half-empirical model to verify the validation of the model. …

Integrated Scheduling Simulation Based On Improved Moth Flame Optimizer, Tianrui Zhang, Huiyuan Niu, Wei Xie

Journal of System Simulation

Abstract: Aiming at the rising cost of manufacturing enterprises, a mathematical programming model of integrated scheduling of production and transportation is established, and a double adaptive weights for moth flame optimizer(DAWMFO) is proposed. A double adaptive weight mechanism is proposed. The spiral function is used to update the population, which improves the convergence speed and accuracy of the algorithm. The benchmark function is tested by the improved algorithm. The results show that the improved algorithm can converge quickly and not easily fall into local optimum. Compared with other algorithms, the optimization ability is also improved. Through the simulation experiment on …

Simulation And Research Of Manipulator Motion Strategy Based On Adaptive Dynamic Programming, Ming Li, Qun Xu, Yan Wang, Zhicheng Ji

Journal of System Simulation

Abstract: Aiming at the difficulty of manipulator to realize high-precision motion tracking in complex and harsh environment, a strategy method based on the combination of adaptive dynamic programming (ADP) and sliding mode admittance control is proposed. The unknown environment is modeled as a linear model and based on quasi, a sliding mode admittance controller is derived to resist disturbance interference. An optimal control method that combines ADP with sliding mode admittance controller is proposed, in which the definition of R-matrix in value function is optimized and improved to further improve the tracking accuracy. The neural network based on ADP is …