• 공업화학
• /
• 제7권2호
• /
• pp.221-227
• /
• 1996

N-아실 아미노산계 음이온성계면활성제 중 sodium N-acyl-N-methyl-${\beta}$-alaninate, sodium N-acyl sarcosinate 그리고 sodium N-acyl-N-methyl taurate 유도체 12종을 선택하여 묽은 수용액내에서 임계미셀농도와 미셀화 영역을 결정하는 새로운 방법으로서 컴퓨터프로그래밍에 의한 표면장력 곡선의 최대화를 제안하였다. 임계미셀농도와 미셀화 영역은 몇몇 실험치를 직접 프로그램에 대입함으로써 곡선의 최대화에 의해서 이론적으로 산정할 수 있다. 이론적으로 구한 임계미셀농도값들은 실측치와 거의 일치함을 알 수 있다.

• 한국응용과학기술학회지
• /
• 제14권3호
• /
• pp.63-69
• /
• 1997

폴리올류 비이온성 계면활성제인 sucrose monolaurate, sucrose monomyristate, sucrose monopalmitate, sucrose monostearate 그리고 sucrose monooleate와 같은 5종의 sucrose monoester 유도체들을 선택하여 묽은 수용액내에서 임계미셀 농도와 미셀화 영역을 결정하는 방법으로서 컴퓨터 프로그래밍에 의한 표면장력 곡선의 최대화를 제안하였다. 임계미셀 농도와 미셀화 영역은 몇몇 실험치를 직접 프로그램에 대입함으로써 곡선의 최대화에 의해서 이론적으로 산정할 수 있다. 이론적으로 구한 임계미셀 농도값들은 실측치와 거의 일치함을 알 수 있다.

• Structural Engineering and Mechanics
• /
• 제70권5호
• /
• pp.639-647
• /
• 2019

The performance of precast concrete structures is greatly influenced by the behaviour of beam-to-column connections. A single connection may be required to transfer several loads simultaneously so each one of those loads must be considered in the design. A good connection combines practicality and economy, which requires an understanding of several factors; including strength, serviceability, erection and economics. This research work focuses on the performance aspect of a specific type of beam-to-column connection using partly hidden corbel in precast concrete structures. In this study, the results of experimental assessment of the proposed beam-to-column connection in precast concrete frames was used. The purpose of this research is to develop and apply the Extreme Learning Machine (ELM) for moment-rotation prediction of precast beam-to-column connections. The ELM results are compared with genetic programming (GP) and artificial neural network (ANN). The reliability of the computational models was accessed based on simulation results and using several statistical indicators.

• Steel and Composite Structures
• /
• 제31권5호
• /
• pp.427-435
• /
• 2019

The estimation of moment and rotation in steel rack connections could be significantly helpful parameters for designers and constructors in the initial designing and construction phases. Accordingly, Extreme Learning Machine (ELM) has been optimized to estimate the moment and rotation in steel rack connection based on variable input characteristics as beam depth, column thickness, connector depth, moment and loading. The prediction and estimating of ELM has been juxtaposed with genetic programming (GP) and artificial neural networks (ANNs) methods. Test outcomes have indicated a surpass in accuracy predicting and the capability of generalization in ELM approach than GP or ANN. Therefore, the application of ELM has been basically promised as an alternative way to estimate the moment and rotation of steel rack connection. Further particulars are presented in details in results and discussion.

• 한국경영과학회지
• /
• 제19권2호
• /
• pp.119-128
• /
• 1994

There are three important regions im Multiple Objective Linear Programming (MOLP). One is the region of efficient solutions, another is the region of weight to be used for finding efficient solutions, the third is the region of efficient (nondominated) objective values. In this paper, first, we find the condition of extreme point in the region of efficient objective values. Second, we find that the sum of the dimension of the weight region and the dimension of efficient objective values region is constant. Using the above, it is shown that we find the shape and dimension of weight region corresponding to the given region or efficient objective values and vice versa.

• 산업경영시스템학회지
• /
• 제22권50호
• /
• pp.373-380
• /
• 1999

This paper summerizes the former 5 papers that studied computer programming for the estimation of the Weibull, Extreme value, Hazard, Normal and Log-normal parameters which have a close relation with the reliability of the various kinds of industrial products. Probability paper is very commonly used in estimating the parameters, however, it is very hard to neglect the errors in plotting the data, and especially in drawing the regression line. The main purpose of this paper is to reduce these errors and to help the engineers to use the parameters in improving the reliability of their prod- ucts. The following parts are included in the computer programming with the em- phases on significant digits and rounding of numerical values : $\bullet$ data input part for various cases $\bullet$ parameter estimation part $\bullet$ printing part for input data $\bullet$ printing part for the results $\bullet$ printing part for the graphic(probability paper). And the running results(monitor displays) of the program for a fictitious example of Weibull distribution is given for the interested ones.

• Structural Engineering and Mechanics
• /
• 제11권1호
• /
• pp.1-16
• /
• 2001

This paper discusses the elastic stability of unbraced frames under non-proportional loading based on the concept of storey-based buckling. Unlike the case of proportional loading, in which the load pattern is predefined, load patterns for non-proportional loading are unknown, and there may be various load patterns that will correspond to different critical buckling loads of the frame. The problem of determining elastic critical loads of unbraced frames under non-proportional loading is expressed as the minimization and maximization problem with subject to stability constraints and is solved by a linear programming method. The minimum and maximum loads represent the lower and upper bounds of critical loads for unbraced frames and provide realistic estimation of stability capacities of the frame under extreme load cases. The proposed approach of evaluating the stability of unbraced frames under non-proportional loading has taken into account the variability of magnitudes and patterns of loads, therefore, it is recommended for the design practice.

• Computers and Concrete
• /
• 제30권3호
• /
• pp.225-236
• /
• 2022

In this article, Multi-Gene Genetic Programming (MGGP) is proposed for the estimation of the compressive strength of concrete. MGGP is known to be a powerful algorithm able to find a relationship between certain input space features and a desired output vector. With respect to most conventional machine learning algorithms, which are often used as "black boxes" that do not provide a mathematical formulation of the output-input relationship, MGGP is able to identify a closed-form formula for the input-output relationship. In the study presented in this article, MGPP was used to predict the compressive strength of plain concrete, concrete with fly ash, and concrete with furnace slag. A formula was extracted for each mixture and the performance and the accuracy of the predictions were compared to the results of Artificial Neural Network (ANN) and Extreme Learning Machine (ELM) algorithms, which are conventional and well-established machine learning techniques. The results of the study showed that MGGP can achieve a desirable performance, as the coefficients of determination for plain concrete, concrete with ash, and concrete with slag from the testing phase were equal to 0.928, 0.906, 0.890, respectively. In addition, it was found that MGGP outperforms ELM in all cases and its' accuracy is slightly less than ANN's accuracy. However, MGGP models are practical and easy-to-use since they extract closed-form formulas that may be implemented and used for the prediction of compressive strength.

• International Journal of Computer Science & Network Security
• /
• 제24권5호
• /
• pp.103-110
• /
• 2024

In the quickly developing world, the idea of the conventional advancement needs to advance[1]. When applied to the advanced work environment, the conventional strategies give as much damage as they do great. Tragically, an absence of versatility in the customary techniques has prompted an inflexible work structure that is truly not viable with the present business. The Agile technique is, subsequently, a more adequate practice, in view of creating programming at a faster speed, while as yet looking after proficiency. The coordinated programming improvement strategies are concentrated in this paper. As per study results, Agile software development group needs solid client association; great light-footed task the executives' measures; item proprietor expands business esteem conveyed by group and need and draw in partners; great deft designing procedures or practices; and great advancements and advancement apparatuses[2]. This examination has suggestions for positive social change since associations that comprehend the basic components might have the option to improve project the executives' systems and money saving advantages prompting higher effectiveness, productivity, and efficiency hence profiting the board, representatives, and client. This survey paper incorporates various methodologies of Agile and their analysis.

• International Journal of Computer Science & Network Security
• /
• 제21권6호
• /
• pp.143-150
• /
• 2021

Process model is an integral part of software industry. Different process models are used now a days in the industry for different software projects. Process models need to be tailored to address some specific project needs. Agile models are considered as the most widely used process models nowadays. They have distinctive features and the ability to address the dynamic needs of today's software development. Extreme programming (XP) is one of the extensively used agile process model especially for small projects. Many researchers have tried to mold XP to overcome its shortcomings and for better working in specific scenarios. Therefore, many customized versions of XP process model are available today. In this paper, we are going to analyze the latest customizations of XP. For this purpose, a systematic literature review is conducted on studies published from 2012 till 2018 in renowned online search libraries. This comprehensive review highlights the purpose of customizations, along with the areas in which customizations are made, and phases & practices which are being customized. This work will serve the researchers to discover the modern versions of XP process model as well as will provide a baseline for future directions for customizations.