International Journal of Engineering and Manufacturing @ijem
Статьи журнала - International Journal of Engineering and Manufacturing
Все статьи: 550
Operational Risk Research on Social Pooling Fund Under Diseases Score Settlement System
Статья научная
Objectives: To find out the inner outer risks and its influence on social pooling fund under diseases score settlement (DSS).Methods: To Use step multiple linear regression analysis, the risk factors of the fund have been screened out. The selected risk factors have been taken into BP artificial neural network (BPANN). Results: In 12,724 insured inpatients, chronic diseases accounted for 24.89%.The average medical expense per inpatient was 11,950.88RMB and per hospitalization expenditure of social pooling fund was 7,665.81RMB. The 10 variables such as age, sex, unit type, hospital level, individual pays,medicine fee, medical fee, operation fee, nurse expense, bed fee and other expense were statistically significant. Conclusion: The growing aging population, changes in disease spectrum, increasing medical costs are all risks of non-controllable running outside the system. Moral hazard and the defective design of the system belong to the system controllable risks. The results from BPANN were compatible with multiple linear regression analysis. The payment system plays an important role in health insurance [1]. Good payment can control the hospitalization expenditures in a reasonable scope, while an imperfect one can throw a monkey-wrench into the system.The diseases score settlement (DSS) is payment system of Huai’an in China. This article develops two simple models (step multiple linear regression analysis and back-propagation artificial neural network(BPANN)) to illustrate the risks both inside and outside DSS and explore the risk control function of DSS. BPANN are the most widely used networks and are considered to be the workhorse of ANNs because of its simplicity and its power to extract useful information from samples [2].Due to its strong learning ability and generalization capability, BP networks have been successfully used in forecasting some financial problems, for example, predicting stock market returns [3], loan risk warning [4] and forecasting bankruptcy firms [5].
Бесплатно
Статья научная
Optimal installation of electrical distribution transformers has always been a challenging task for distribution operator (DSO)s due to load variations, particularly for seasonal loads. Depending on the quality of distribution systems in different regions and countries, a considerable number of installed transformers may be oversized or have capacity lower than critical standard. In this study, IEC 60076-7 is used to calculate the temperature limitations for distribution transformer capacities and determine optimal transformer capacity for an electrical distribution substation based on the critical values and limitations given in the standard. A data logger is installed on the substation and the load data is recorded for one year. Additionally, the impact of different parameters like ambient temperature is investigated for optimal determination of transformer capacity.
Бесплатно
Optimal Controller Design for the System of Ball-on-sphere: The Linear Quadratic Gaussian (LQG) Case
Статья научная
Control system plays a critical function as one of the essential bedrocks of contemporary social development. Differential equations are time-based equations. The analysis of these equations according to time-domain, is what the theory of modern control is based on. It uses a state-space method which allows direct design in the time-domain. With the state-space method, many controllers can be designed optimally. LQG is one of these controllers. This controller is covered much in the literature. Despite this, not many works cover the ball-on-sphere system. Therefore, the research designed an optimal LQG controller for the system of ball-on-sphere. System dynamics were first investigated and the mathematical model was derived. After that, the system was linearized and then the state-space representation was obtained. Using this representation, the controller was designed and applied to the system for control. The control was done based on the specified desired system performance. Finally, the controller's performance was analyzed. Results obtained showed that the controller met the desired system performance. The controller satisfied the at least 80% performance requirement with θ_x is 82.35% and θ_y is 82.95% less than their respective unregulated settling times. It was also observed that minimizing the total control energy leads to maximizing the total transient energy. Another finding was that all states played role in regulating the controller to the desired system performance. Unfortunately, a settling time (of the ball's angles) of less than 1.00 sec could not be realized. The realized performance is 2.35% and 2.95% more than the desired performance in x and y directions, respectively, for the ball’s angles settling time. This research is significant because it is the first to design an LQG controller for the ball-on-sphere system. Therefore, bridging the existing gap in the literature is the value of this research.
Бесплатно
Статья научная
The objective for this research is to assess the optimal measurement model for cell adhesion force. The Human Umbilical Vein Endothelial Cell Line (ECV304) was cultured on a type of biomedical material, polydimethylsiloxane (PDMS). The research also studied the parameters such as alternatives of working solution, styles of PDMS substrate, driving frequency and collagen smearing etc. The result showed the cells cultured on the large area substrate with 2 mm structural spacing and the small area substrate with 100μm structural spacing have better adhesive force. It was also clear to find that large area substrates also showed faster cell growth and expansion. They are more suitable as culture substrates for the measurement of cell adhesion force. As for work solution, 2% glucose solution that has relative low conductivity and concentration has the best measurement that effectively obtained cell adhesion force.
Бесплатно
Optimal Segmentation Framework for Detection of Brain Anomalies
Статья научная
This work presents an enhancement in accuracy for brain disorder detection using optimal unification. The strategy for detection of segments and brain regions causing medical conditions are described. This work demonstrates the application of multilateral filter and applied watershed method with EM-GM method. The most popular existing techniques of brain tumor detection are not optimal compared to this combination of Watershed and EM-GM technique with the proposed optimal unification technique. The result is optimally unified and achieved high accuracy. The multilateral filter enhances the image edges for better segmentation using signal amplitude moderation of the pixel. In the unification process, the optimal sets of segments are divided and finest merged results are considered with the brain regions detected with anomalies. Henceforth the number of possible medical investigations will be reduced.
Бесплатно
Статья научная
This work comprehensively analyses the device physics of a charged plasma-doped InGaAs5.86GaAs5.65 Tunnel field effect transistor (TFET) biosensor featuring a dual metal gate configuration. The device is simulated using Silvaco Atlas TCAD, with HfO2 employed as the gate dielectric alongside a nanocavity to enhance biosensing performance. The investigation focuses on crucial device parameters, including energy band profiles, potential distribution, electric field variations in both lateral and vertical directions, and electron concentration dynamics. Outcomes indicate that the biosensor keeps a superior response in the ambipolar region, with a drain current (ID) or an on current (ION) of ~10-4, due to the amalgam of the dual metal gate and InGaAs/GaAs heterostructure. This configuration also assists in supervising the flow of the carriers and, therefore, improves biosensing sensitivity and specificity. The results emphasize the advantage of this TFET configuration for next-generation biosensing technologies.
Бесплатно
Option Pricing Under Stochastic Interest Rates
Статья научная
This paper reviews the research history of option pricing, then our model assumes that the interest rate subject to a given Vasicek stochastic differential equations, using option pricing by martingale method to study the stochastic interest rate model of European option pricing and obtain the pricing formula. Finally, we compare the differences between the standard European option pricing formulas and European option pricing formula under stochastic interest rate.
Бесплатно
Oscillatory Behavior of a Class of Second-order Nonlinear Dynamic Equations on Time Scales
Статья научная
The paper is devoted to the oscillation of a class of second-order nonlinear dynamic equations on time scales. By developing a generalized Riccati transformation technique, we establish some oscillation criteria for all solutions of the equations. Our results improve and extend some known results in the literature.
Бесплатно
PID Temperature Controller Design for Shell and Tube Heat Exchanger
Статья научная
Heat exchangers are one of the most important thermal devices. Shell and tube heat exchangers are the common types of heat exchangers and sustained a wide range of operating temperature and pressure. Modeling and controlling heat exchanger system is a difficult assignment because of its nonlinearity. As the flow rates changes, the gain, time delay and time constant varies, hence causing system nonlinearity. The solution for such problems is finding acceptable mathematical model and design a controller which provides better performance indices. In this paper mathematical model (experimental or empirical based) to represent the real system and design suitable controller which remove the offset and settle fast with minimum steady state error has been proposed. To this end, system model design the Proportional-Integral-Derivative controller for shell and tube heat exchanger using Ziegler Nichols method, Cohen-coon method and Chein et al. method. Since two opposing dynamic effects are existing in the system and has a problem of dynamics of inverse response and large overshoot. Therefore, Chein et al. tuning method have better performance than that of the others. In case of Chein et al. the overshoot of 2.577 % and settling time of 63.1 s.
Бесплатно
PID control design for second order systems
Статья научная
The Proportional Integral Derivative (PID) controllers are most commonly used in industries to compensate several numbers of practical industrial processes by the virtue of their simplicity and robustness. Several tuning methods exist for parameter tuning of PID controller. In this paper PID control design for second order system has been done with various methods. The effectiveness of tuning methods has been compared based up on time response specifications.
Бесплатно
Pain Expression Recognition Based on SLPP and MKSVM
Статья научная
In this paper, a novel approach is proposed for recognizing pain expression. First of all, supervised locality preserving projections (SLPP) is adopted for extracting feature of pain expression, which can solve the problem that LPP ignores the within-class local structure using adopting prior class label information, and then multiple kernels support vector machines (MKSVM) is employed for recognizing pain expression, Compared to SVM, which can improve the interpretability of decision function and classifier performance. Experimental results are shown to demonstrate the effectiveness of the proposed method.
Бесплатно
Parallelization of Needleman-Wunsch Algorithm Based on Software Pipelining
Статья научная
Sequence alignment is one of the most important algorithms that analyzing massive biological information. In modern bioinformatics, it plays an important role in field of serching for similar sequences, predicting sequence information of unkown sequence, looking for specific position of sequence, predicting protein structure and so on. Needleman-Wunsch algorithm is the earliest global alignment algorithm, it gets widely application with its accuracy, however, it has a high time complexity and its speed is slower. This paper adopts software pipelining technique to optimize Needleman-Wunsch algorithm with parallelization, and OpenMP which is the industrialized standard of shared memory programming is used to parallelize it. The performance of Needlelman-Wunsch algorithm can get a great improvement with the optimization.
Бесплатно
Parametric Optimization of Drilling Parameters in Aluminum 6061T6 Plate to Minimize the Burr
Статья научная
In the manufacturing, process a burr has been observed during the drilling through a hole in an aluminum bar. From the view of the life of a product, minimization of the burr should be significant. So in this research main aim is to identify how input parameters: drill diameter, point angle & spindle speed influenced output parameters burr height & thickness. To execute this operation a total of 27 examinations on an Aluminum 6061T6 plate is taken. Overall research performed into two stages. In first stage, Surface response methodology is used to design two objective functions for burr height & thickness with the help of input parameters and then these two objective functions combined to construct a single objective function. In next stage improved version of elephant swarm optimization (ESWSA) algorithm is applied to get the optimum input parameters. The predicted output variable after the optimization techniques (Test 2 & Test 3) further checked with experimental result to determine the accuracy of the proposed model. In a conclusion section it is seen that the average error of drill diameter, drill point angle & spindle speed are 1.72%, 3.84% & 3.89% respectively with average RMSE is 2.56 *10^-6. For further validation of effectiveness of proposed model is also compared with the state of art techniques in the field burr minimization.
Бесплатно
Parametric optimization of Liquid Flow Process by ANOVA Optimized DE, PSO & GA Algorithms
Статья научная
Control of liquid level & flow are the most interest domain in process control industry. Generally process parameter of the liquid flow system is varied frequently during the operation. So the selection of the level of process parameters i.e. input variables seems to be important for achieving the optimum flow rate. In the present work focus is given on the identification of the proper combination of the input parameters in liquid flow rate process. Flow sensor output, pipe diameter, liquid conductivity & viscosity have been taken as input parameter; flow rate obtained from test is taken as response parameter. Till now several researchers have been performed various optimization methods for optimized the parameters of the process plant. But still computational time & convergence speed of the applied optimization techniques for the modelling of the nonlinear process system is still an open challenge for the modern research. In this research we proposed three evolutionary algorithms are used to optimize the process parameters of the nonlinear model implemented by ANOVA to mitigate the unbalance, convergence speed and reduce the total computational time. Overall research performed into three stage, in first phase nonlinear equation ANOVA has been used for mathematical model for the process, In second stage three evolutionary algorithms: GA, PSO & DE are applied for parametric optimization of liquid flow process to maximize the response parameter & in last phase comparative study performed on simulated results based on confirmed test & validated our proposed methodology.
Бесплатно
Particle Swarm Optimization With Adaptive Parameters and Boundary Constraints
Статья научная
The core idea of PSO is that each particle searches the best solution of optimization problems according to “information sharing” between surrounding particles and itself. PSO has fast convergence speed and high global search capability. For low accuracy and divergent results of elementary PSO, this paper proposes a kind of PSO with adaptive parameters and boundary constraints. Inertia weight and learning factors increase or decrease linearly with iterative process, in order that the particles search the global space in early period of the algorithm and converge towards the global optimum later. At the same time, the author sets particle boundary constraints to ensure the optimization accuracy. Theoretical analysis and numerical simulation results show the efficiency and high optimization accuracy of the designed method.
Бесплатно
Performance Analysis of Image Processing Algorithms using Matlab for Biomedical Applications
Статья научная
Image processing is used in every sphere of life such as agriculture, remote sensing, wireless, medical etc. Bi-omedical imaging plays a vital role in the detection of diseases. Without image processing, it is not possible to detect diseases such as cancer, tumors etc. Medical equipment such as ultrasound, MRI, CT scan machine is totally dependent on image processing algorithms. Radiologists utilize these image processing algorithms to detect diseases and abnormalities. Matlab is a proprietary tool which is used by image architects in order to design these algorithms. Image processing algorithms designed using Matlab provides efficiency, accuracy, flexibility and timing constraints. The present paper addresses various image processing algorithms designed using Matlab. The performance of these algorithms is also analyzed visually as well as statistically in order to check the quality of images.
Бесплатно
Статья научная
This paper proposes a new MATLAB built-in function, mathematical and simulink models, all to be simultaneously simple, user–friendly and to be used to face the two top challenges in developing mechatronic motion control systems, particularly, the early identifying system level problems and ensuring that all design requirements are met, as well as, to simplify and accelerate Mechatronics motion control design process including; performance analysis and verification of a given electric DC system, proper controller selection and verification for desired output speed or angle. The proposed models and function are intended for research purposes, application in educational process, and to be used by the mechatronics students and engineers for selection, design and verification purposes.
Бесплатно
Performance Study on the System of Real-Time VBR Service with Shared Cache
Статья научная
In this paper, we study a system that adopts complete sharing admission policy to multiple broadband real-time variable bit rate (VBR) service sharing a common buffer or cache. Under joint connection-level and packet-level analysis, we utilize shared cache queue model with multiple ON-OFF sources to analyze the probability distribution of the number of packets and then obtain the formulas of calculating packet loss rate and average delay. Through numerical calculation, the results compared with the non-caching system indicate that the packet loss rate has decreased, but the average delay has increased. Taking into account the delay sensitive nature of real-time VBR service, this paper puts forward a call admission control (CAC) algorithm that gives consideration to both packet-level performance parameters and connection-level performance parameters. The algorithm optimizes the average delay of the system with constraints on call blocking probabilities for each kind of VBR service and a common packet loss rate for all services. Numerical examples exhibit the nature of such systems.
Бесплатно
Performance optimization of codec in VOIP using Raspberry Pi
Статья научная
This paper aims in design and implementation of Voice over Internet Protocol (VoIP) system with a high compression rate. The system uses a Raspberry Pi B+ ARM 11 microcontroller which is faster in processing the audio signal by means of CODEC2 software. An Audio Adapter (CM-108 or 109) is interfaced with the Raspberry Pi, which acts as a bridge in providing the processed voice signal to Raspberry Pi in its required PCM format. The setup is implemented in Local Area Network (LAN) in which the data transmission occurs. During the transmission of the data, the wireshark software was used to analyze the data in the network. A detailed analysis of the comparison results of different CODECs for compression rate and the estimated frame sizes are given. From the results, it is proved that the use of CODEC2 is an efficient system for VoIP. For secure communication, the AES encryption protocol with static private key was implemented. The 3.2Kbps compression technique is suitable for VoIP system as it has high compression rate and less delay compared to the other systems.
Бесплатно
Perspective directions of development of innovative structures on the basis of modern technologies
Статья научная
The article analyzes the need to create innovative manufacturing enterprises in modern conditions, and justifies their role in the development of society. The principles, priorities and strategic requirements to the innovative manufacturing enterprises in the process of economic development are analyzed. International, regional and local recommendations for the formation of innovative enterprises structures are generalized. Perspective applications of components of the fourth industrial revolution are considered. Ways of improving the innovation infrastructure and environment are examined from the scientific and theoretical and methodological point of view. Priorities, mechanisms, elements of communication, the parameters and criteria for the management of innovative manufacturing enterprises structures are identified.
Бесплатно
