Internet of Things (IoT): The Technology, Architecture and Applications – Prospects in Nigeria
Issue:
Volume 8, Issue 4, December 2020
Pages:
41-45
Received:
9 June 2020
Accepted:
16 July 2020
Published:
28 December 2020
Abstract: There is presently a technological revolution in the world and our way of life has started changing at a fast forward pace. Thanks to Information and Communication Technology (ICT) and the Internet. The Internet is a global inter-connection of systems over a Wide Area Network (WAN). The Things in the Internet of Things could be described as intelligent objects capable of connecting to the Internet while the objects are software or electronically embedded. Internet of Things (IOT) is an enhanced technology that allows connectivity between physical objects wirelessly through the internet and enables information sharing with other networks for the purpose of processing such for the users; an interaction between the physical and digital worlds through a loose assemblage of sensors and actuators without human intervention. IoT is the new platform for network communication. Infrastructure, Communication, Interfaces, Protocols and standard are some of the fundamental issues involve in the development of Internet of Things. IoT applications are developed software embedded with objects such as the sensors to drive the Air-Conditioners in homes, Cars, home and street lightening systems, Micro waves transportation and the automotive industries. This paper discusses the IoT as one of the emerging concepts of the ICT revolution - the technology, architecture and applications. Finally, a brief elicitation of the benefits of this great concept (IoT) and its applications to Nigeria and Nigerians is presented.
Abstract: There is presently a technological revolution in the world and our way of life has started changing at a fast forward pace. Thanks to Information and Communication Technology (ICT) and the Internet. The Internet is a global inter-connection of systems over a Wide Area Network (WAN). The Things in the Internet of Things could be described as intelli...
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Predicting Daily Closing Prices of Selected Shares of Dhaka Stock Exchange (DSE) Using Support Vector Machines
Md. Farhad Hossain,
Sharmin Islam,
Partha Chakraborty,
Ajit Kumar Majumder
Issue:
Volume 8, Issue 4, December 2020
Pages:
46-51
Received:
26 August 2020
Accepted:
23 December 2020
Published:
31 December 2020
Abstract: Support Vector Machines (SVM) has been a naval research field in scientific research for forecasting. This study deals with the application of SVM in financial time series predicting. This paper suggests a model of stock market prediction based on SVMs with appropriate parameter values. A data set of daily closing prices of five selected companies such as Alhaj Textiles Limited, Apex Tannery Limited, Jamuna Bank Limited, Padma Oil Company, and Square Pharmaceuticals Limited of the Dhaka Stock Exchange (DSE) from 01 January 2017 to 13 August 2019 was selected and uses these data to train the model and checks the predictive power of the model. The obtained results show that all the companies closing stock prices are non-stationary. Also the number of support vectors and mean square error is decreasing pattern with the increase of kernel parameter. It is also found that original data and predicted data are very much identical. The result shows that in all the cases SVM model has some predictive power it can be used to forecast financial time series. Several methods, such as SVM, ARIMA, single exponential smoothing, and double exponential smoothing, were performed to predict Bangladesh's stock market. Amazingly, the outcome shows the most efficient method to be Support Vector Machine because of its lowest forecasting errors.
Abstract: Support Vector Machines (SVM) has been a naval research field in scientific research for forecasting. This study deals with the application of SVM in financial time series predicting. This paper suggests a model of stock market prediction based on SVMs with appropriate parameter values. A data set of daily closing prices of five selected companies ...
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Research on Block Chain Product Evaluation System
Issue:
Volume 8, Issue 4, December 2020
Pages:
52-59
Received:
11 November 2020
Published:
12 January 2021
Abstract: Block chain technology has occupied a very important position in today's society. This emerging technology has been successfully explored and developed in many fields and scenarios. However, due to the fact that block chain technology is still in the exploratory stage, there is no rigid specification and index for block chain products, Integrating the research results of block chain technology architecture and security risk assessment, this paper designs a set of evaluation indicators for block chain products. The indicators are divided into six aspects, including P2P network technology evaluation index, distributed ledger technology evaluation index, asymmetric encryption technology evaluation index, smart contract evaluation index, consensus mechanism evaluation index and other security technologies Evaluation indicators, each big evaluation index is subdivided into several more in-depth evaluation indicators, and each of the specific analysis and explanation. Finally, based on the previous analysis and design work, a block chain product evaluation software is developed, which provides users with the function of comprehensive evaluation of block chain products. The design and software implementation of the block chain product evaluation system can effectively improve the efficiency in the development of block chain products and the quality of the products themselves, which is conducive to the further development of the block chain field.
Abstract: Block chain technology has occupied a very important position in today's society. This emerging technology has been successfully explored and developed in many fields and scenarios. However, due to the fact that block chain technology is still in the exploratory stage, there is no rigid specification and index for block chain products, Integrating ...
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