HEAT CONDUCTION EQUATION Introduction Steady versus Transient Heat Transfer Multidimensional Heat Transfer Heat Generation heat-and-mass-transfer-fundamentals-and-applications-5th-edition-cengel- solution-manual. Pages·· Heat Transfer; A Practical Approach. Request PDF on ResearchGate | Heat Transfer: A Practical Approach / Y.A. Çengel. | Contenido: Elementos de transferencia de calor; Ecuación de conducción.
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Heat Transfer: A Practical Approach with EES CD. Home · Heat Heat and Mass Transfer: A Practical Approach 3rd - SOLUTIONS MANUAL · Read more. MASS TRANSFER Introduction Analogy between Heat and Mass .. Chapter 7 deals with the practical analysis of external convection while . Complete Solution Manual to Accompany HEAT TRANSFER SECOND EDITION A Practical Approach YUNUS A. CENGEL Preface This manual is prepared as.
Wells , and Ann C. Scott D. Bembenek , Hariharan Venkatesan , Hillary M. Peltier , Mark D. Rosen , Terrance D. Barrett , Kimon C. Kanelakis , Heather L. Palomino , Theresa I. Brondstetter , Taraneh Mirzadegan , and Michael H. Analysis and Prevention of Microplastics Pollution in Water: Current Perspectives and Future Directions. April 12, Perspective.
Simon Larsen , Laura J. Teat , and Abhik Ghosh. Sharu Bhagavathi Kandy , George P. April 11, Article. Real bodies emit and absorb less radiation than a blackbody at the same temperature. Such a definition will imply that doubling the thickness will double the heat transfer rate. Therefore, heat transfer through the brick wall will be larger despite its higher thickness. The thermal conductivity of most liquids, however, decreases with increasing temperature, with water being a notable exception.
Radiation heat transfer between two surfaces is inversely proportional to the number of sheets used and thus heat loss by radiation will be very low by using this highly reflective sheets.
At the same time, evacuating the space between the layers forms a vacuum under 0. Heat transfer through such insulations is by conduction through the solid material, and conduction or convection through the air space as well as radiation. Such systems are characterized by apparent thermal conductivity instead of the ordinary thermal conductivity in order to incorporate these convection and radiation effects.
The rate of heat transfer through the wall is to be determined. Fold structure and fault exist in fully mechanized mining face of seam in Bu'ertai coal mine. During the mining process, the two sides of the roadway are deformed greatly by the influence of geological conditions, and the phenomenon of roof and floor breaking is very serious. Combined with the above problems, this paper analyzes the rationality of length design of coal seam working face. The length parameters of the working face are calculated by fitting the control theory of the rock stratum and the measured data, and the following conclusions are obtained.
The reasonable working face length of coal seam in Bu'ertai coal mine is more reasonable to take meters, and the width of roadway pillar is designed to be 20 m. In view of the rapid increase of data volume in large-scale intelligent connected vehicle scene, this paper proposes a local dynamic map LDM construction method based on the mobile edge computing MEC architecture.
On this basis, we select key nodes from a large number of vehicles to upload data, reducing system computing pressure, data redundancy and system delay. Moreover, the intelligent connected vehicle simulation tool is used to simulate the intersection with large numbers of intelligent connected vehicles, to verify the advantages of the selective local dynamic map construction method.
An multi-parameter equation to predict the effects of seafloor sediment on sound velocity is established by means of principal component analysis.
The empirical equations in previous reports are analyzed and studied, and calculation errors are also analyzed. The principal component regression model is established based on the data of seafloor sediment of the continental slope in the Southern South China Sea.
Theoretical research is performed on the method to eliminate interrelated parameters among the physical parameters affecting the sound velocity and select a f ew independent physical parameters with significant impact on the sound velocity.
A three-parameter acoustic speed prediction formula is established with the selected physical parameters, i. Study results show that the minimum relative error of predicted value is From the perspective of social capital, this paper studies the income acquisition mechanism of water conservancy project resettlement.. According to forced immigration data of L village in Danjiangkou Reservoir, the ordinary least squares model is used for empirical analysis in this paper.
The results show that the scale of support network has a significant negative correlation with income; the frequency of neighborhood communication is not significant; and the frequency of communication and income of residents outside the community is obvious.
However, the "isolated information island" and "split data lake" are formed due to poor connectivity of government data among departments. By online researching and analyzing the the current situation and development bottleneck of China's e-government, the authors designed the e-government cloud platform system framework from the perspectives of big data and value co-creation, and then put forward a series of suggestions, such as establishing data-oriented value co-creation mechanism, developing the system which realizes real-time visualization of public demands and so on, thus to provide references for meet "the people's growing need for a better life" proposed by President Xi in the reports of the 19th National Congress of the Communist Party of China.
Multiple detonation structure based on elementary cells of the diagonal, rectangular and spinning mode in square tubes are obtained by numerical cases with different aspect ratios of cross-section. By means of visualizing its detailed structure, the formation mechanism of 3-D multiple cellular patterns is preliminarily discussed.
As the cross-sectional aspect ratio increases, new multiple cellular patterns are observed. This paper proposes an indoor positioning algorithm based on kernel function, aiming at the problem that error of indoor positioning is large. Gaussian kernel function can capture the nonlinear correlation of received signal strength RSS between reference point fingerprint and the test point, and has a better matching effect than the KNN algorithm. At the end of the article, measurement uncertainty is analyzed to describe the reliability of the measurement results.
This paper aims to solve the problem that most rehabilitation robots lack to integrate their physiological functions and psychological states into closed controlling loop in rehabilitation training of stroke patients. The application of fusion technology of multi-electromechanical sensor signal and DSmT signal is used to achieve patients' comfort judgement.
Mean value and variance are used to extract physiological information such as heart rate, temperature and skin resistance. Sensor information of fusion technology of rehabilitation robot based on classical DSmT theory can realize on-line diagnosis of multi-comfort degree of patients' coupling.
LVC combines the advantages of the actual training, the virtual simulation and the deduction simulation, and this training system. In this paper, the construction requirement of the smart equipment operation test and evaluation system of the distributed joint operation test is analyzed, on the based of which the application view of the public operational test system is established.
The rapid construction program and the test scheme of the multi-dimensional war field environment combined is designed with the future smart equipment operation mode. Secondly, the design of public operational test framework based on LVC distributed joint operation is built. At last, the unified management and control method of digital joint operation simulation experiment based on LVC virtual reality training is proposed. In order to solve the problem of continuous tension in production from low driving efficiency of coal mine and excessive mining.
Daliuta coal mine put forward the idea of using the rapid drivage system for roadway tunneling innovatively. The system optimized the excavation process and used remote control to alpine bolter miner to cut coal. It used straddle type anchor to support the roof and used belt reloader to carry coal.
The parallel operation of digging and supporting and one time forming of top support is realized. Thus, the safety of operation and drivage efficiency are greatly improved. It is effective to relieve the difficulty of the tension of coal mines.
It came up a lot of problems in the application process of speedy drivage system. But through continuous optimization and improvement, the advantages of speedy drivage system get better play. Since the speedy drivage system used in Daliuta coal mine, it created world's record of the maximum daily footage of m, the maximum monthly footage of m, per capita ergonomics reached 1.
A novel consensus control protocol for multi-agent nonholonomic systems has been proposed in this paper. With the aid of non-smooth analysis and algebraic graph theory, the proposed linear protocol can ensure leader-follower results and three flocking rules without position measurement.
Besides, it is proved that there exist a range of control gain to preserve the connectedness of the communication network and realize consensus. Finally, some numerical simulations are given to validate the above theoretical results.
The bank telemarketing dataset was collected by a Portuguese retail bank when selling a bank long-term deposits product.
In order to predict the success of bank telemarketing, an more accurate approach was proposed. Firstly, the dataset was analyzed and processed. The features value of the dataset could be divided into two kinds: The two kinds of variable had been processed with different methods. The continuous variables were transformed to discrete features and then were normalized. The categorical variables were coded with two different methods according to whether they were belong to the ordered categories.
The missing value of features had to been processed with two different methods depending on the examples number of the missing value. Secondly, the three data mining models which were support vector machine, neural network and decision trees were adopted to predict the result of the processed bank telemarketing dataset. The classification and regression trees algorithm was adopted in the decision trees model.
The BFGS algorithm had been used when the neural network model was programming. The simple sequential minimal optimization SMO algorithm was adopted in the support vector machine model. All the three models were executed using python 2.
The results of three models were analyzed and compared. The decision trees presented the best results and cost the least time, and its accuracy, precision, recall value and AUC area of the were all equal to 1.
The accuracy, recall value and AUC area of the neural network were better than those obtained by the support vector machine improvement of 1. It showed that not only choosing the data mining models but also processing datasets in advance played a key role in obtaining better prediction results when datasets needed classifying. Aiming at the difficulty of noise estimation and outlier estimation in data fusion, a fuzzy theory data fusion algorithm based on confidence distance is proposed and its application in sensor monitoring is studied.
Firstly, according to the characteristics of sensor monitoring values, the characteristics of traditional fuzzy theory data fusion methods are analyzed. Secondly, the confidence distance is used to describe the fuzzy proximity between the data, and the erroneous data is eliminated. Finally, the data is merged by proximity to get the result of the fusion. Experiments show that the difference of the fusion value based on the confidence distance is small, and the fusion result is close to the actual state of the measured object.
This paper designs a communication network simulation system for system protection services. It describes the system from both functional architecture and software architecture and analyzes the system protection business requirements, including the bandwidth requirements and the delay requirements based on existing communication technologies.
This paper analyzes the mechanism, namely, the human capital and the government's policy, on the migrant family's equivalent per capita income. Based on the survey data of rural resettlements, this paper makes an empirical analysis by using linear regression model. The results show that the length of education has no significant effect; the family upbringing coefficient has a negative effect; the average age of labor force has a V-shaped relationship with income; there is a significant positive correlation between immigration policy and government subsidy, but the other policy variables have no significant impact on income.
Access control is an indispensable part of the OA system. Reasonable access control can fundamentally guarantee data security.
With the expansion of enterprise business scale and the adjustment of organizational structure, there will be more and more system users.
Due to the sensitivity and privacy of business data, it is necessary to manage the authority of users in this system. In order to solve the problem of large granularity of permission management and strong coupling between access control code and business code, this paper compares the implementation scheme of existing access control system, realizes a fine-grained access control method based on improved RBAC model and achieves good results in practical system application.
This paper uses input-output model to calculate direct consumption coefficient, total distribution coefficient, direct consumption coefficient and total consumption coefficient of five energy industries.
We analyze the related industries of the energy industry. The results show that the Electricity industry has the largest consumption coefficient and distribution coefficient, and the Electricity industry is an important part of the economy.
The consumption coefficient and distribution coefficient of the coal industry are relatively large. Terrorism is a common threat to mankind. Combating terrorism is also the responsibility that every country should assume. In the face of the development trend of terrorism, in-depth quantitative analysis of data related to terrorist attacks will help deepen people's understanding of terrorism and provide valuable information support for counter-terrorism, and effectively improve the pertinence and efficiency of the anti-terrorism struggle.
This paper designs a risk assessment and prediction system for terrorist attacks. The mathematical model calculates the relative risk index of each type of target by factor analysis. The evaluation indicators include three factors: Mathematical model uses neural network to evaluate and predict risk index. However, because the BP neural network is easy to fall into the local best, it is difficult to jump out.
Therefore, the genetic algorithm GA optimizes the initial weight threshold of the BP neural network to enhance the prediction accuracy. Finally, the simulation experiments of 21 main targets are carried out to verify the effectiveness of the model, so as to carry out accurate strategy analysis.
The content management system is an indispensable part of enterprise information construction. With the rise of the concept of front and rear separation and the maturity of related technologies, it is a better choice to create a multi-functional front-end web application in complex large-sized or medium-sized projects, which sits on top of a microservices-based architecture.
As the business grows, the single front end becomes more and more bloated, resulting in a single page application that is not well scaled and deployed, and difficult to maintain. Based on the analysis of above problems, combined with the corresponding front-end technology, this paper applies the microservice concept to the development of front-end and proposes a design scheme of content management system based on micro frontends. Besides, the key issues in practice process, such as micro frontends design concept and implementation methods are described in detail.
This paper has debated Fuzzy Model in the context of default and prepayment behaviour, through theoretical and empirical analysis, this paper shows the law of default and repayment and the main factors affecting the risk of default and repayment.
On this basis, it chooses appropriate measurement tools to control the risk, and provides some basic information for the default risk of housing mortgage loan. At the same time, it also provides commercial banks with evasion of personal housing mortgage. The default and repayment risks faced by loans provide further quantitative information. Based on the monitoring data of patients with hepatobiliary disease, we classified and selected four biomarkers: A quaternary logistic regression model was established and the model was tested for likelihood ratio and accuracy.
Based on the test results, we further optimized the model and established a ternary ungrouped logistic model, and conducted a series of tests of saliency and accuracy. Secondly, according to the data collected from a hospital's real medical examination, the ternary logistic model was used to give predictions for the prevalence. Because the ternary logistic model factors were selected and fixed, the sickness Status were integrated, and a binary ungrouped logistic regression model was established.
Based on the ROC curve evaluation method, the performance of the model was verified: The model is highly reliable for negative results and has certain reliability for positive results.
This large savings in monetary costs, to some extent reduce the risk of disease. Finally, we qualitatively analyze the two established models and draw their own advantages and disadvantages: The prediction effect of this ternary logistic regression model is great, besides, it has satisfactory accuracy and strong robustness, but the elasticity of the selected factors is small; the binary ungrouped Logistic regression model has a good prognostic effect, the elasticity of selection factors is large and the scope of application is wide.
Both models have good performance in the preliminary judgment of hepatobiliary diseases.
At present, the legal risk of artificial intelligence is mainly manifested by the three risks of weak artificial intelligence: The criminal law should properly eliminate the principle of technology neutrality and expand the application of criminal law to solve legal risk of weak artificial intelligence. In view of the poor management of tea gardens in our country, this article designs a wireless transmission technology-based tea garden monitoring system.
The test and inspection results show that the system can irrigate a tea garden of 60m2 within just 4 minutes, it provides a highly efficient and accurate wireless monitoring system for the tea garden and provides the technical guarantee for improving tea garden's management level. Since Chinese government implemented interest rate liberalization reform, the level of interest rate has aroused widespread concern from all walks of life.
In this paper, we divide the state of China's real interest rate into three different regimes: Then we apply three regimes Markov-switching Model to explore the operating situation of China's real interest rate.
The result of empirical research indicates that low level interest rate and high level interest rate are not significant in our country and medium level interest rate is significant and has a long period of duration. With the rapid development of Internet and big data, "Internet government service" has been valued by People of Republic China governments at all levels.
Since , Foshan City has begun to build an "administrative approval electronic network integration system", which has achieved remarkable results. However, in terms of data sharing and standardization, there are rooms of improvement.
This paper takes the Foshan Natural Person Administrative Approval Form as an example for analysis and research, in order to highlight insight for standardization, and demonstrate standardized results by examples.
It is expected to promote the digitization of e-forms and the sharing of e-government information in Foshan City. The antibacterial, anti-mosquitoes and anti-mites functional viscose fiber was prepared by wet spinning method by adding aqueous solution of Radix Isatidis extract with antibacterial function, aqueous solution of Pelargonium roseum Ait extract with anti-mosquitoes function and Peppermint essential oil microcapsule with anti-mites function. Then its mechanical properties, antibacterial activity, anti-mosquitoes properties and anti-mites activity were measured.
Compared with the mechanical properties of ordinary viscose fibers, its mechanical properties decreased slightly. When this kind of fiber was not washed, the inhibitory rates of the fiber against Staphylococcus aureus, Escherichia coli and Candida albicans were Three functions of antibacterial, anti-mosquitoes and anti-mites exceeded national standards. To study on relationship between dynamic shear modulus and damping ratio with shear strain, a new dynamic-triaxial test is performed on sandy silt in Beijing area.