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2020

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Articles 1021 - 1050 of 1941

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Virtual-Point-Light Sampling Algorithm Based On Indirect Illumination Clustering Of Visible Scene Region, Chen Sheng, Chunyi Chen, Qiwei Xing, Chaozhi Yang Jun 2020

Virtual-Point-Light Sampling Algorithm Based On Indirect Illumination Clustering Of Visible Scene Region, Chen Sheng, Chunyi Chen, Qiwei Xing, Chaozhi Yang

Journal of System Simulation

Abstract: Focusing on the accuracy of indirect illumination calculation, an improved view-sensitive virtual point light (VPL) sampling method is proposed. The visible shading points are clustered according to the positions and normal vectors. The product of the contribution of VPLs on the representative visible shading points and the number of VPLs belonging to the same class is calculated, and the sum of the products is treated as the estimation of the indirect illumination which constructs the cumulative distribution function (CDF). On the basis of the CDF, the VPLs of calculating the indirect illumination on every visible shading point are selected. …


Augmented Reality Interactive Media System For Ancient Buildings Based On Servomotor, Xingquan Cai, Zhe Yang, He Xin, Chen Chao Jun 2020

Augmented Reality Interactive Media System For Ancient Buildings Based On Servomotor, Xingquan Cai, Zhe Yang, He Xin, Chen Chao

Journal of System Simulation

Abstract: Augmented reality is usually limited to the screen devices, and is difficult to realize the stereoscopic dynamic interaction of multiplayer. A large screen interactive display method based on the servo motor is prsented. The serial communication program to control the scanning reciprocating mode of the servo is designed. By using the edge detection methods and deep normal texture processing, the line draft of the ancient buildings is rendered. By combining the hardware and presentation application modules, the user interaction capabilities and seasonal effects is added to the showcase application modules. The experimental results show that the interactive media system …


Adaptive Differential Crisscross Optimization Algorithm For Dynamic Economic Emission Dispatch Considering Wind Power, Panpan Mei, Lianghong Wu, Hongqiang Zhang, Huiying Wang Jun 2020

Adaptive Differential Crisscross Optimization Algorithm For Dynamic Economic Emission Dispatch Considering Wind Power, Panpan Mei, Lianghong Wu, Hongqiang Zhang, Huiying Wang

Journal of System Simulation

Abstract: Because of the randomness and fluctuation of the wind power, the large scale wind power integration makes the economic emission dispatch of power systems more complicated. By fusing the advantages of the differential evolution algorithm with the parameter self-adaption and crisscross optimization, a hybrid intelligent optimization algorithm called ADE-CSO is proposed to solve the dynamic economic emission dispatch considering wind power integration. A constraint handling technology is introduced to satisfy the feasibility of the power balance and ramp limits. To demonstrate the effectiveness of the proposed algorithm, a typical test case of five generator bus system is conducted and …


Classification Of Chest X-Ray Disease Based On Convolutional Neural Network, Huang Xin, Fang Yu, Mengdan Gu Jun 2020

Classification Of Chest X-Ray Disease Based On Convolutional Neural Network, Huang Xin, Fang Yu, Mengdan Gu

Journal of System Simulation

Abstract: The artificial intelligence technology can effectively assist the chest X-ray diagnosis. On the basis of the analysis of Chinese reports of chest X-rays, a labeling method of the thoracic disease classification for the chest abnormal parts is proposed and a dataset of the thoracic disease classification labels is complied. The thoracic disease classification is evaluated through four kinds of convolutional neural networks, AlexNet, VGGNet, ResNet and DenseNet and through three kinds of training methods, direct training, ImageNet pre-training and Chest X-14 pre-training. The result shows that the more complicated convolutional neural network with the more parameters, the better performance …


Study On Evacuation Cellular Automaton Model Considering Avoidance Behavior, Yinghua Song, Zhang Yu, Feizhou Huo, Lü Wei, Yaping Ma Jun 2020

Study On Evacuation Cellular Automaton Model Considering Avoidance Behavior, Yinghua Song, Zhang Yu, Feizhou Huo, Lü Wei, Yaping Ma

Journal of System Simulation

Abstract: To study the avoidance behavior in the evacuation process, a cellular automaton model considering avoidance behavior is established. The model divides the evacuees into avoiders and transferees, and reflects the avoidance behavior by changing the selected probability of evacuees. The impact of the avoidance behavior on the efficiency and evacuation process in different personnel ratios and different initial positions is analyzed. The results show that the avoidance behavior can optimize the evacuation sequence, improve the evacuation efficiency and reduce the risk of evacuation process. The evacuation time is significantly reduced when the probability of avoidance exceeds the thread value, …


Crowd Evacuation Model Based On Improved Pso Algorithm, Changhua Li, Chenggong Bi, Zhijie Li Jun 2020

Crowd Evacuation Model Based On Improved Pso Algorithm, Changhua Li, Chenggong Bi, Zhijie Li

Journal of System Simulation

Abstract: Aiming at the poor local optimization ability and easy premature convergence of the particle swarm optimization (PSO) algorithm in evacuation simulation, a crowd evacuation model based on the improved PSO algorithm is proposed. On the basis of the original model, factors such as the forward driving force, exclusion driving force and panic degree of evacuees are introduced. According to the environmental factors and crowd movement, evacuees' direction is dynamically adjusted, and tends to the ideal exit under the optimal exit selection mechanism. The parametric simulation experiment of evacuation efficiency is carried out for the physical factors such as the …


Research On Modeling Technology For Hard Cutting Process, Caixu Yue, Liu Xin, Jiang Nan, Xianli Liu, Genghuang He, Lingxiang Li Jun 2020

Research On Modeling Technology For Hard Cutting Process, Caixu Yue, Liu Xin, Jiang Nan, Xianli Liu, Genghuang He, Lingxiang Li

Journal of System Simulation

Abstract: The hard cutting has the features of the high maching flexibility, economical efficiency and environmental friendliness, and is widely used in automobile industry, bearing industry, hydraulic industry, etc. The simulation modeling not only plays an important role in predicting the performance of the hard machining and optimizing machining parameters, but also better reflects the nature of the machining and provides the theoretical guidance to the actual machining. The simulation modeling methods of the hard cutting at home and abroad are introduced, and the chip formation, cutting force, cutting temperature, tool wear and machined surface quality are summarized, and the …


Spatiotemporal Saliency Detection Of Infrared Videos Based On Gestalt-Guided Optimization, Wang Xin, Chunyan Zhang, Ning Chen Jun 2020

Spatiotemporal Saliency Detection Of Infrared Videos Based On Gestalt-Guided Optimization, Wang Xin, Chunyan Zhang, Ning Chen

Journal of System Simulation

Abstract: A spatiotemporal saliency detection method based on Gestalt optimization is proposed. A method based on the multi-scale local sparse representation and local contrast measure is proposed to compute the spatial saliency in the infrared videos. A multi-frame symmetric difference approach is adopted to detect the temporal saliency. To get the initial spatiotemporal saliency map, a scheme based on the mutual-consistency is designed to fuse the spatial and temporal saliency maps adaptively. A Gestalt-guided optimization method is designed to calculate the final spatiotemporal saliency map. Experimental results show that the proposed method can effectively detect the spatiotemporal saliency of infrared …


A Discrete Krill Herd Algorithm For The No-Wait Flow Shop Scheduling Problem, Changping Liu, Zhenfu Jian, Wenhan Fu Jun 2020

A Discrete Krill Herd Algorithm For The No-Wait Flow Shop Scheduling Problem, Changping Liu, Zhenfu Jian, Wenhan Fu

Journal of System Simulation

Abstract: A discrete krill herd algorithm (DKH) is proposed to solve the no-wait flow shop scheduling problem (NWFSP) with the makespan criterion. Based on the characteristics of the optimization mechanism, the notion of “virtual food” in krill herd algorithm and the influenced crossover rules between krill individuals are defined. The concept and calculation method of the individual distance are redefined to measure the neighborhood range to realize the information exchange. The local search strategies of random swap, inverse and insert operator are employed to enhance the local search ability of DKH, and the multiple initialization strategies are redesigned to promote …


3d Reconstruction Of Uav Sequence Image Based On Motion Structure Graph, Yuhao Wu, Xuefeng Cao, Jinchao Peng, Lianrui Xu Jun 2020

3d Reconstruction Of Uav Sequence Image Based On Motion Structure Graph, Yuhao Wu, Xuefeng Cao, Jinchao Peng, Lianrui Xu

Journal of System Simulation

Abstract: UAV sequence image has the characteristics of high overlap and strong topological connection. Aiming at the inefficient and unstable in processing the large-scale UAV images of the existing incremental 3D reconstruction algorithm, a 3D reconstruction method based on motion structure graph is proposed. The image matching index is established by using the geolocation information and IMU data to improve the image matching efficiency, and the random motion consistency algorithm is used to calculate the relative motion; motion structure graph is used to represent the "association" between images, and closed-loop detection algorithm is used to eliminate the false edges. Under …


Intelligent Evaluation Of Simulation Training For Aerial Ammunition Technical Support, Xu Gang, Zhang Lei, Tian Lei Jun 2020

Intelligent Evaluation Of Simulation Training For Aerial Ammunition Technical Support, Xu Gang, Zhang Lei, Tian Lei

Journal of System Simulation

Abstract: Quantitative evaluation is an important part of the simulation training of the Aviation Ammunition technical support. In order to realize the automatic evaluation of the simulation training, intelligent evaluation technology is introduced, and a prediction model based on Sigmoid regression is proposed. On the basis of analyzing the linear relationship of the sample data of the performance indicators, a subset of the characteristic indicators is selected as the input of the prediction mathematical model. In order to avoid the gradient descent method falling into the local solution problem, the gradient descent + PSO algorithm is presented. After testing the …


Modeling And Simulation Of Quadrotor Uav With Vector Thrust Based On Backstepping, Zhou Nan, Wang Liang, Jianliang Ai Jun 2020

Modeling And Simulation Of Quadrotor Uav With Vector Thrust Based On Backstepping, Zhou Nan, Wang Liang, Jianliang Ai

Journal of System Simulation

Abstract: Combined with characteristics of the traditional quadrotor and the quad tilt-wing UAV, a quadrotor UAV with the vector thrust (VTQ) is proposed. This UAV has the ability of vertical take-off and landing and hovering, as well as the high maneuverability of the traditional quad tilt-wing UAV. It has the ability of completing the diversified tasks by being specified the desired yaw angle and pitch angle. Control system adopts the method of the layered design. The upper layer is the position control system, the lower layer is the attitude control system, and the control laws are both designed by the …


Dynamics Modeling And Simulation Of Gait Rehabilitation Robot Based On Lie Groups And Lie Algebras Theory, Bingjing Guo, Jianhai Han, Xiangpan Li, Yan Lin Jun 2020

Dynamics Modeling And Simulation Of Gait Rehabilitation Robot Based On Lie Groups And Lie Algebras Theory, Bingjing Guo, Jianhai Han, Xiangpan Li, Yan Lin

Journal of System Simulation

Abstract: A pneumatic-driven gait rehabilitation robot based on rigid mechanism and flexible driver is designed. To explore the dynamic characteristics of the human-robot harmony system constructed by patients and the exoskeleton robot, the dynamic models of human, robot and human-robot system in different gait phases are established based on Lie group and Lie algebra theory. The driving and energy characteristics of three rehabilitation training modes of passive, active assistance and resistance are analyzed. The robot joint driven moment and the human active moment are simulated to verify the Lie group and Lie algebraic modeling method and the dynamic model. It …


Simulation Optimization Of Initial Fire Evacuation Schemes For Vertical Ship Lift, Chen Shu, Xi Yan, Jianping Wang, Menghan Shang, Li Zhi Jun 2020

Simulation Optimization Of Initial Fire Evacuation Schemes For Vertical Ship Lift, Chen Shu, Xi Yan, Jianping Wang, Menghan Shang, Li Zhi

Journal of System Simulation

Abstract: In order to improve the efficiency of fire evacuation in the initial stage of the vertical ship lift and reduce the evacuation time, the structure and evacuation channel of the vertical ship lift are analyzed to identity the vertical evacuation path. The vertical evacuation time is determined by comparing the evacuation time of stairs and elevator based on the docking rules of cargos. Aiming at the shortest vertical evacuation time the evacuation time of the different docking elevations is simulated to obtain the optimal evacuation plan. The results show that, when the distance between the docking elevation and the …


Attribute Proxy Re-Encryption For Ciphertext Storage Sharing Scheme On Blockchain, Xiaohong Zhang, Lanlan Sun Jun 2020

Attribute Proxy Re-Encryption For Ciphertext Storage Sharing Scheme On Blockchain, Xiaohong Zhang, Lanlan Sun

Journal of System Simulation

Abstract: In order to implement the information storage sharing service safely and efficiently, a blockchain storage sharing scheme supporting the attribute proxy re-encryption and keyword retrieval is proposed. By the nodes classification and ciphertext storage separation, the anti-collusion attack is better implemented. The smart contract design of the information transaction is introduced and the information sharing parties can communicate spontaneously without the participation of the central organization. By the attribute-based proxy re-encryption algorithm, the information owner can share the information with other users without re-encrypting, uploading, and downloading information, and relieves the burden of the high-frequency access of the cloud …


Study Of Parallelized Graph Clustering Algorithm Based On Spark, Dongjiang Liu, Jianhui Li Jun 2020

Study Of Parallelized Graph Clustering Algorithm Based On Spark, Dongjiang Liu, Jianhui Li

Journal of System Simulation

Abstract: The parallelized graph clustering algorithm is researched. A new parallelized graph clustering algorithm is proposed based on Spark. As the top operation of Spark occupies a lot of memory space, a new algorithm which is used to substitute the top operation is proposed to reduce the memory consumption. By improving bottom up hierarchical clustering algorithm, the speed of the proposed algorithm is improved. A new data filtering method based on the feature of graph data is proposed. By the method, the running time and memory space comsuption is reduced greatly. The reason of the high efficiency of this filtering …


A Multi-Strategy Differential Evolution Algorithm Combined With Neighborhood Search, Can Sun, Xinyu Zhou, Mingwen Wang Jun 2020

A Multi-Strategy Differential Evolution Algorithm Combined With Neighborhood Search, Can Sun, Xinyu Zhou, Mingwen Wang

Journal of System Simulation

Abstract: The difficulties of designing a multi-strategy differential evolution (DE) algorithm are how to select the mutation strategies and allocate these strategies. A multi-strategy DE algorithm combined with the neighborhood search operator is proposed. The population is divided into three subpopulations according to the fitness values, and each subpopulation employs a different mutation strategy and parameter settings to complement the search ability, to balance the exploration and exploitation ability of the whole population. The subpopulation with the best fitness values employs the neighborhood search operator to exploit possible benefit information to guide the search. Extensive experiments are carried out on …


Cae Modeling And Fault Simulation For Instantaneous Action Mechanism With High Power And Heavy Load, Teng Lin, Tang Tang, Qiaojie Li, Chen Ming Jun 2020

Cae Modeling And Fault Simulation For Instantaneous Action Mechanism With High Power And Heavy Load, Teng Lin, Tang Tang, Qiaojie Li, Chen Ming

Journal of System Simulation

Abstract: A FEM simulation of a high voltage circuit breaker under actual conditions is proposed to solve the high-frequency vibration and mechanical failure problems caused by the realistic factors such as the clearance and structural elasticity of the breaker. Its operating characteristic under the high power pulse load is analyzed and the influence of the spring stiffness and dimension error on the breaker’s motion characteristics was predicted. On the basis of the dependency of the breaker’s mechanical characteristics on potential faults, critical parameters and design defects are established. The new FEM of the a high-voltage circuit breaker will replace the …


Holiday Highway Traffic Flow Prediction Method Based On Deep Learning, Xiaofeng Ji, Yicheng Ge Jun 2020

Holiday Highway Traffic Flow Prediction Method Based On Deep Learning, Xiaofeng Ji, Yicheng Ge

Journal of System Simulation

Abstract: Accurately predicting highway traffic holiday flow can provide important data for the emergency management of highway. The LSTM-SVR prediction model is established by using the theoretical framework of deep learning. The BP neural network is used to process the sample data, and the data features captured by LSTM are input into the SVR regression layer to realize the traffic flow prediction. Before and after the “Eleventh” Golden Week, the LSTM-SVR model was verified by using the traffic monitoring data of the intermodulation station in Lijiang City and the prediction results were compared with the others. It is found that …


Work In Progress: Students' Perception Of Collaborative Online International Learning, Philip Appiah-Kubi, Jennifer Nichwitz Jun 2020

Work In Progress: Students' Perception Of Collaborative Online International Learning, Philip Appiah-Kubi, Jennifer Nichwitz

Engineering Management and Systems Faculty Publications

Teaching and learning in the digital age harness the opportunities created by internet technologies to distribute and learn various information all over the world. This is commonly referred to as connectivism, and it values the impact of stakeholder information appraisal skills, virtual and personal communication skills [1], and the sense of cultural awareness. Collaborative Online International Learning (COIL), a type of connectivism, typically involves instructors and students from at least two geographically and culturally distinct areas who collaborate virtually on a common project for four or more weeks.

The objective is to create a culturally diverse virtual environment where students …


Embedding Computer Simulation Based Classroom Activities To Enhance The Learning Experience For Manufacturing Systems, Tzu-Liang Bill Tseng, Md Fashiar Rahman, Richard Chiou, Ivan Arturo Renteria-Marquez, Aditya Akundi, Amit J. Lopes, Jeevarathinam Senthilkumar Jun 2020

Embedding Computer Simulation Based Classroom Activities To Enhance The Learning Experience For Manufacturing Systems, Tzu-Liang Bill Tseng, Md Fashiar Rahman, Richard Chiou, Ivan Arturo Renteria-Marquez, Aditya Akundi, Amit J. Lopes, Jeevarathinam Senthilkumar

Manufacturing & Industrial Engineering Faculty Publications

In recent time, manufacturing environment are bracing higher end technologies to achieve high productivity, efficiency and effectiveness. Due to the adoption of the sophisticated technologies, the system is becoming very complex and stochastic. Moreover, the manufacturing system is interconnected among its different subsystems and components, which cannot be described only through the theoretical explanation. Here, computer simulation can be integrated to design and visualize the stochastic and complex system. This paper uses the advantage of simulation to describe a series classroom activity using SIMIO software, which are deployed in industrial systems simulation course in the University of Texas at El …


Investigation Of The Process Of Self-Discharge Acid Batteries, Asilbek Kiryigitovich Mamatkulov, Eldor Ikromovich Ruzmatov, Gulniso Yulchievna Zhumaeva, Furkat Ilyasovich Erkabaev Jun 2020

Investigation Of The Process Of Self-Discharge Acid Batteries, Asilbek Kiryigitovich Mamatkulov, Eldor Ikromovich Ruzmatov, Gulniso Yulchievna Zhumaeva, Furkat Ilyasovich Erkabaev

Chemical Technology, Control and Management

In this study, investigations were conducted on the process of self-discharge of acidic car batteries. The dependence of battery discharge on environmental temperature has been studied. It was found that the self-discharge of batteries increases by up to 60% over 12 months when the temperature rises from +100C to +400С. Replacing the tin in the electrode alloy with a more electronegative metal has been shown to reduce the self-discharge process by up to 2% per month. Because, the self-discharge of electrode batteries made of lead-calcium alloy is relatively low, the consumption of working fluid is relatively …


Using Of Parametric Nonlinear Lc-Circuits In Stabilized Transducers Of The Number Of Phases, Ivan Mikhaylovich Bedritsky, Kamila Komilovna Jurayeva, Laziz Kholboboyevich Bozorov Jun 2020

Using Of Parametric Nonlinear Lc-Circuits In Stabilized Transducers Of The Number Of Phases, Ivan Mikhaylovich Bedritsky, Kamila Komilovna Jurayeva, Laziz Kholboboyevich Bozorov

Chemical Technology, Control and Management

The use of nonlinear circuits of an autoparametric nature with inductive and capacitive elements for obtaining the necessary phase shifts in single-phase-three-phase converters is considered. The amplitude-phase relations between the stresses of windings located on different rods of a three-core core are obtained. The conditions under which it is possible to stabilize the stresses of the artificial phases of the Converter, as well as the phase shifts between them, are shown.


Application Of A Convolutional Neural Networks For Images Recognition, Avazjon Rakhimovich Marakhimov, Lyudmila Petrovna Varlamova Jun 2020

Application Of A Convolutional Neural Networks For Images Recognition, Avazjon Rakhimovich Marakhimov, Lyudmila Petrovna Varlamova

Chemical Technology, Control and Management

In the problems of image recognition, various approaches used when the image is noisy and there is a small sample of observations. The paper discusses nonparametric recognition methods and methods based on deep neural networks. This neural network allows you to collapse images, to perform downsampling as many times as necessary. Moreover, the image recognition speed is quite high, and the data dimension is reduced by using convolutional layers. One of the most important elements of the application of convolutional neural networks is training. The article gives the results of work on the application of convolutional neural networks. The work …


Remote Measurement Of Plant Biomass By Picosecond Laser Radiation, Abdushukur Abdugafurovich Mukhamedov, Abdirashid Saribaevich Rysbaev, Shamsiddin Norchaevich Ernazarov Jun 2020

Remote Measurement Of Plant Biomass By Picosecond Laser Radiation, Abdushukur Abdugafurovich Mukhamedov, Abdirashid Saribaevich Rysbaev, Shamsiddin Norchaevich Ernazarov

Chemical Technology, Control and Management

A description is given of a high-speed optical recording system that uses a solid-state yttrium-aluminum garnet Nd3+ laser that generates a train of picosecond laser pulses. It is shown that by registering and temporarily scanning the secondary fluorescence radiation excited by a sequence of picosecond pulses, it is possible to remotely determine the biomass of plants based on a prematurely created bank of laboratory data.


International Higher Education Cooperation Under Conditions Of Fuzzy Terminology: Intellectual Mobility Vector, Ulugbek Vasikovich Mannanov, Igor Ivanovich Gancherenok Jun 2020

International Higher Education Cooperation Under Conditions Of Fuzzy Terminology: Intellectual Mobility Vector, Ulugbek Vasikovich Mannanov, Igor Ivanovich Gancherenok

Chemical Technology, Control and Management

Terminology analysis of higher education internationalization process concerning joint educational programs is fulfilled. Fuzziness of used terminology is demonstrated. Joint higher education establishments development in the framework of fractal model is suggested as a strategic direction of higher education internationalization, enhancement of its quality and a concept of effective intellectual mobility.


Synergetic Control Of Nonlinear Dynamic Objects, Isomiddin Siddikov, Komil Usmanov, Noilakhon Yakubova Jun 2020

Synergetic Control Of Nonlinear Dynamic Objects, Isomiddin Siddikov, Komil Usmanov, Noilakhon Yakubova

Chemical Technology, Control and Management

Considers the synthesis of effective control algorithms for a chemical reactor, which is the main one in the production of butyl alcohol. The method based on synergetic approach for transferring the apparatus from one capacity to another (specified) maintaining the required quality of the target component is proposed in order to ensure the stabilization of the concentration of target component at the outlet of the reactor under the conditions of uncertain disturbances affecting to an object. A mathematical model of the process based on a stoichiometric matrix taking into account the physicochemical properties of the process is developed. The control …


Research Properties Of Solving Problems Of Parametric Optimization, Dilnoz Tulkunovna Muhamediyeva Jun 2020

Research Properties Of Solving Problems Of Parametric Optimization, Dilnoz Tulkunovna Muhamediyeva

Chemical Technology, Control and Management

A model of parametric optimization with fuzzy initial information is constructed. The conditions and areas of application of the main methods of the theory of fuzzy sets in studies of parametric optimization are determined. A connection is established between the stability of parametric optimization problems and fuzzy optimization problems. An algorithm for solving problems by the method of parametric programming is developed for fuzzy given initial information. The admissible region of the parametric programming problem and the value of its objective function at each point of this region depend on the parameter t. A description of the method for solving …


Development Of A Control Device And Algorithm For Autonomous-Moving Systems, Farhod Qosimov, Ru Jiang, Dong Zhang, Mirkhalil Ismailov Jun 2020

Development Of A Control Device And Algorithm For Autonomous-Moving Systems, Farhod Qosimov, Ru Jiang, Dong Zhang, Mirkhalil Ismailov

Chemical Technology, Control and Management

The article is devoted to improving the control and algorithm for Autonomous moving systems. The function of the controller is to provide communication between the control computer and the actuator. The ATmega2560 microcontroller is selected as the main processor. The electrical diagram of additional devices of the microcontroller is formed. Printed circuit boards consisting of separate blocks are made on the basis of the electrical circuit. To exchange information with external systems and process the received data, a special algorithm for the microcontroller has been created. The microcontroller is programmed based on this algorithm. The analysis of the functioning of …


Extraction Of Chitosan From Died Honey Bee Apis Mellifera, Gulnora Akmalovna Ixtiyarova, Dilshoda Azamovna Hazratova, Bobur Nosir O’G’Li Umarov, Oksana Muratbayevna Seytnazarova Jun 2020

Extraction Of Chitosan From Died Honey Bee Apis Mellifera, Gulnora Akmalovna Ixtiyarova, Dilshoda Azamovna Hazratova, Bobur Nosir O’G’Li Umarov, Oksana Muratbayevna Seytnazarova

Chemical Technology, Control and Management

This article presents the results of obtaining biopolymers of chitin and chitosan from a new promising source- died honey bee apis mellifera. To obtain chitin, at the first stage, the protein (deproteination) and mineral (demineralization) constituents of subpestilence, i.e. put them in soluble state and removed. Demineralization was carried out with 2 M hudrochloric acid for 5 hours at room temperature. The process of deproteination is carried out by processing the crushed raw materials with 1 N sodium hudroxide solution for 1 hour at a temperature of 800С. Each process was accompanied by washing the raw materials to …