Intraurban industrial location model design and implementation

In an earlier paper, the unified theoretical framework was applied to a broad range of alternative approaches to industrial location modelling. These explorations are used in this paper to construct a more general industrial location model from which many of the models can be derived as special cases.

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SMOTE-BD: An Exact and Scalable Oversampling Method for Imbalanced Classification in Big Data

Journal of Computer Science and Technology ◽

10.24215/16666038.18.e23 ◽

2018 ◽

Vol 18 (03) ◽

pp. e23 ◽

Cited By ~ 7

Author(s):

María José Basgall ◽

Waldo Hasperué ◽

Marcelo Naiouf ◽

Alberto Fernández ◽

Francisco Herrera

Keyword(s):

Big Data ◽

Data Analytics ◽

Big Data Analytics ◽

Model Design ◽

Minority Class ◽

Imbalanced Classification ◽

Design And Implementation ◽

Learning Issues ◽

Intelligent Model

The volume of data in today's applications has meant a change in the way Machine Learning issues are addressed. Indeed, the Big Data scenario involves scalability constraints that can only be achieved through intelligent model design and the use of distributed technologies. In this context, solutions based on the Spark platform have established themselves as a de facto standard. In this contribution, we focus on a very important framework within Big Data Analytics, namely classification with imbalanced datasets. The main characteristic of this problem is that one of the classes is underrepresented, and therefore it is usually more complex to find a model that identifies it correctly. For this reason, it is common to apply preprocessing techniques such as oversampling to balance the distribution of examples in classes. In this work we present SMOTE-BD, a fully scalable preprocessing approach for imbalanced classification in Big Data. It is based on one of the most widespread preprocessing solutions for imbalanced classification, namely the SMOTE algorithm, which creates new synthetic instances according to the neighborhood of each example of the minority class. Our novel development is made to be independent of the number of partitions or processes created to achieve a higher degree of efficiency. Experiments conducted on different standard and Big Data datasets show the quality of the proposed design and implementation.

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An Ontological Model, Design, and Implementation of CSPF for Healthcare

Ontology‐Based Information Retrieval for Healthcare Systems ◽

10.1002/9781119641391.ch6 ◽

2020 ◽

pp. 117-142

Author(s):

Pooja Mohan

Keyword(s):

Model Design ◽

Design And Implementation ◽

Ontological Model

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Design and implementation of an onscreen keyboard for Yoruba language

Journal of Computer Science and Its Application ◽

10.4314/jcsia.v26i1.5 ◽

2020 ◽

Vol 26 (1) ◽

Author(s):

T.O. Olorunfemi ◽

O.L. Azubuike ◽

O.E. Ojo

Keyword(s):

Operating Systems ◽

English Language ◽

Learning Experience ◽

Model Design ◽

Modelling Language ◽

User Input ◽

Colonial Legacy ◽

Design And Implementation ◽

Unified Modelling Language ◽

Yoruba Language

Language is essential for human existence; it enhances understanding between individuals whilst aiding communication. The Yorùbá language is one of the major Nigerian languages, that is gradually being eroded due to different reasons such as westernization, colonial legacy, modernization and economic development, advancement of technology amongst other reasons, it is therefore necessary for Africans especially of Yorùbá descent to save Yorùbá language. In this paper, an Onscreen Keyboard model is presented with an attempt to save Yorùbá language by prolonging its’ use through technology as it evolves. Data was collected on Yorùbá alphabets and a computational model was formulated (using unified modelling language) based on the output of the collected data. The On screen keyboard’s model was implemented using visual C#, and the system was evaluated to test its effectiveness. The model allows user input into the computer using Yorùbá language whilst predicting text as the user types thereby enhancing easy typing and learning experience. Although, the model was tested on Windows operating system, the model design can easily be adapted to other operating systems environments. In this study, we have successfully localized the typical English Language keyboard to allow input in Yorùbá language.Keywords: Language, Yorùbá, Endangered, Onscreen keyboardVol. 26 No 1, June 2019

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Social business model design and implementation in developing countries

Journal of Management Development ◽

10.1108/jmd-03-2015-0041 ◽

2017 ◽

Vol 36 (1) ◽

pp. 48-57 ◽

Cited By ~ 8

Author(s):

Valerie Sabatier ◽

Ignace Medah ◽

Peter Augsdorfer ◽

Anthony Maduekwe

Keyword(s):

Developing Countries ◽

Business Model ◽

Business Models ◽

Model Design ◽

Social Business ◽

Value Capture ◽

Content Type ◽

Design And Implementation ◽

The Social ◽

Business Model Design

Purpose The purpose of this paper is to contribute to the emergent research on social business models by revealing challenges encountered by the design and implementation of such business models. Design/methodology/approach Case study of the development of FACA, an affordable medicine used to treat sickle cell disease, from traditional medicine to market in Burkina Faso. Findings Social business models present important challenges in terms of value capture for all stakeholders. The social profit equation and the profit equation suggested by Yunus et al. are difficult to apply in practice, and therefore, social business model design should consider the social and profit equations jointly. Originality/value Developing countries are seeking different approaches to innovation and healthcare. Social business models appear as one of the potential solutions to bring value to society, organizations, and individuals. The identification of challenges raised by social business models can help policymakers and executives in the design and implementation of these social business models.

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