Information

914 KiB

Open AccessArticle

Applying TRIZ and Fuzzy AHP Based on Lean Production to Develop an Innovative Design of a New Shape for Machine Tools

by Ho-Nien Hsieh, Jeng-Fung Chen and Quang Hung Do

Information 2015, 6(1), 89-110; https://doi.org/10.3390/info6010089 - 13 Mar 2015

Cited by 8 | Viewed by 7431

Companies are facing cut throat competition and are forced to continuously perform better than their competitors. In order to enhance their position in the competitive world, organizations are improving at a faster pace. Industrial organizations must be used to the new ideals, such [...] Read more.

Companies are facing cut throat competition and are forced to continuously perform better than their competitors. In order to enhance their position in the competitive world, organizations are improving at a faster pace. Industrial organizations must be used to the new ideals, such as innovation. Today, innovative design in the development of new products has become a core value in most companies, while innovation is recognized as the main driving force in the market. This work applies the Russian theory of inventive problem-solving, TRIZ and the fuzzy analytical hierarchy process (FAHP) to design a new shape for machine tools. TRIZ offers several concepts and tools to facilitate concept creation and problem-solving, while FAHP is employed as a decision support tool that can adequately represent qualitative and subjective assessments under the multiple criteria decision-making environment. In the machine tools industry, this is the first study to develop an innovative design under the concept of lean production. We used TRIZ to propose the relevant principles to the shape’s design with the innovative design consideration and also used FAHP to evaluate and select the best feasible alternative from independent factors based on a multiple criteria decision-making environment. To develop a scientific method based on the lean production concept in order to design a new product and improve the old designing process is the contribution of this research. Full article

(This article belongs to the Section Information Applications)

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878 KiB

Open AccessArticle

Urban Saturated Power Load Analysis Based on a Novel Combined Forecasting Model

by Huiru Zhao, Sen Guo and Wanlei Xue

Information 2015, 6(1), 69-88; https://doi.org/10.3390/info6010069 - 10 Mar 2015

Cited by 12 | Viewed by 6883

Abstract

Analysis of urban saturated power loads is helpful to coordinate urban power grid construction and economic social development. There are two different kinds of forecasting models: the logistic curve model focuses on the growth law of the data itself, while the multi-dimensional forecasting [...] Read more.

Analysis of urban saturated power loads is helpful to coordinate urban power grid construction and economic social development. There are two different kinds of forecasting models: the logistic curve model focuses on the growth law of the data itself, while the multi-dimensional forecasting model considers several influencing factors as the input variables. To improve forecasting performance, a novel combined forecasting model for saturated power load analysis was proposed in this paper, which combined the above two models. Meanwhile, the weights of these two models in the combined forecasting model were optimized by employing a fruit fly optimization algorithm. Using Hubei Province as the example, the effectiveness of the proposed combined forecasting model was verified, demonstrating a higher forecasting accuracy. The analysis result shows that the power load of Hubei Province will reach saturation in 2039, and the annual maximum power load will reach about 78,630 MW. The results obtained from this proposed hybrid urban saturated power load analysis model can serve as a reference for sustainable development for urban power grids, regional economies, and society at large. Full article

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1428 KiB

Open AccessArticle

Rough Set-Probabilistic Neural Networks Fault Diagnosis Method of Polymerization Kettle Equipment Based on Shuffled Frog Leaping Algorithm

by Jie-Sheng Wang, Jiang-Di Song and Jie Gao

Information 2015, 6(1), 49-68; https://doi.org/10.3390/info6010049 - 27 Feb 2015

Cited by 6 | Viewed by 7859

Abstract

In order to realize the fault diagnosis of the polyvinyl chloride (PVC) polymerization kettle reactor, a rough set (RS)–probabilistic neural networks (PNN) fault diagnosis strategy is proposed. Firstly, through analysing the technique of the PVC polymerization reactor, the mapping between the polymerization process [...] Read more.

In order to realize the fault diagnosis of the polyvinyl chloride (PVC) polymerization kettle reactor, a rough set (RS)–probabilistic neural networks (PNN) fault diagnosis strategy is proposed. Firstly, through analysing the technique of the PVC polymerization reactor, the mapping between the polymerization process data and the fault modes is established. Then, the rough set theory is used to tackle the input vector of PNN so as to reduce the network dimensionality and improve the training speed of PNN. Shuffled frog leaping algorithm (SFLA) is adopted to optimize the smoothing factor of PNN. The fault pattern classification of polymerization kettle equipment is to realize the nonlinear mapping from symptom set to fault set according to the given symptom set. Finally, the fault diagnosis simulation experiments are conducted by combining with the industrial on-site historical datum of polymerization kettle, and the results show that the RS–PNN fault diagnosis strategy is effective. Full article

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953 KiB

Open AccessArticle

Measures of Information

by Paul Walton

Information 2015, 6(1), 23-48; https://doi.org/10.3390/info6010023 - 27 Jan 2015

Cited by 10 | Viewed by 5581

Abstract

This paper builds an integrated framework of measures of information based on the Model for Information (MfI) developed by the author. Since truth is expressed using information, an analysis of truth depends on the nature of information and its limitations. These limitations include [...] Read more.

This paper builds an integrated framework of measures of information based on the Model for Information (MfI) developed by the author. Since truth is expressed using information, an analysis of truth depends on the nature of information and its limitations. These limitations include those implied by the geometry of information and those implied by the relativity of information. This paper proposes an approach to truth and truthlikeness that takes these limitations into account by incorporating measures of the quality of information. Another measure of information is the amount of information. This has played a role in two important theoretical difficulties—the Bar-Hillel Carnap paradox and the “scandal of deduction”. This paper further provides an analysis of the amount of information, based on MfI, and shows how the MfI approach can resolve these difficulties. Full article

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954 KiB

Open AccessArticle

Modeling of Experimental Adsorption Isotherm Data

by Xunjun Chen

Information 2015, 6(1), 14-22; https://doi.org/10.3390/info6010014 - 22 Jan 2015

Cited by 392 | Viewed by 30521

Abstract

Adsorption is considered to be one of the most effective technologies widely used in global environmental protection areas. Modeling of experimental adsorption isotherm data is an essential way for predicting the mechanisms of adsorption, which will lead to an improvement in the area [...] Read more.

Adsorption is considered to be one of the most effective technologies widely used in global environmental protection areas. Modeling of experimental adsorption isotherm data is an essential way for predicting the mechanisms of adsorption, which will lead to an improvement in the area of adsorption science. In this paper, we employed three isotherm models, namely: Langmuir, Freundlich, and Dubinin-Radushkevich to correlate four sets of experimental adsorption isotherm data, which were obtained by batch tests in lab. The linearized and non-linearized isotherm models were compared and discussed. In order to determine the best fit isotherm model, the correlation coefficient (r²) and standard errors (S.E.) for each parameter were used to evaluate the data. The modeling results showed that non-linear Langmuir model could fit the data better than others, with relatively higher r² values and smaller S.E. The linear Langmuir model had the highest value of r², however, the maximum adsorption capacities estimated from linear Langmuir model were deviated from the experimental data. Full article

(This article belongs to the Special Issue Intelligent Data Analysis)

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979 KiB

Open AccessArticle

The Kalman Filtering Blind Adaptive Multi-user Detector Based on Tracking Algorithm of Signal Subspace

by Liqing Zhou, Henry Leung, Peng Xu, Guobao Ru, Quansheng Zhao and Da Xu

Information 2015, 6(1), 3-13; https://doi.org/10.3390/info6010003 - 20 Jan 2015

Cited by 5 | Viewed by 5813

Abstract

Multi-user detection is an effective method to reduce multiple access interference in code division multiple access (CDMA) systems. This paper discusses a signal subspace based blind adaptive multiuser detector and a Kalman filtering blind adaptive multiuser detector. Combining them together, a new Kalman [...] Read more.

Multi-user detection is an effective method to reduce multiple access interference in code division multiple access (CDMA) systems. This paper discusses a signal subspace based blind adaptive multiuser detector and a Kalman filtering blind adaptive multiuser detector. Combining them together, a new Kalman filtering blind adaptive multiuser detector based on a tracking algorithm of the signal subspace is proposed. Analysis and simulation show that the proposed blind multiuser detector achieves better suppression of multiple access interference and has a higher convergence rate. Full article

(This article belongs to the Section Information and Communications Technology)

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600 KiB

Open AccessEditorial

Acknowledgement to Reviewers of Information in 2014

by Information Editorial Office

Information 2015, 6(1), 1-2; https://doi.org/10.3390/info6010001 - 7 Jan 2015

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Abstract

The editors of Information would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2014:[...] Full article

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Information, Volume 6, Issue 1 (March 2015) – 7 articles , Pages 1-110

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