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Digital Language Mining Platform for Nigerian Languages (DLMP)
Emejulu Augustine Obiajulu,
Okpala Izunna Udebuana,
Nwakanma Ifeanyi Cosmas
Issue:
Volume 5, Issue 1, March 2019
Pages:
1-7
Received:
1 March 2019
Accepted:
8 April 2019
Published:
15 May 2019
Abstract: Effective communication occurs when the receiver and sender both understand and synchronize the flow of information across board. The utility of language extends beyond human to human interaction and includes also, the use of syntactically formed programming languages to interact with digital systems. Nigeria has an estimate of over 450 languages, which makes it cumbersome to harmonize and put all into a single large repository for data mining. The goal of this paper is to firmly establish the importance of Information Technology in galvanizing Nigerian Languages and Mining scientific data thereof. The purpose of applying Information and Communication Technology (ICT) is to codify the process of extracting various underlying meanings in a language, processing the various idioms, proverbs and quaint statements in such language with the view of bringing out the creativity behind them. The authors explore the developmental stages and techniques of applying an artificial Intelligence system that scans through a given indigenous linguistic system to bring out the hidden facts therein. It is recommended that stakeholders in the ‘digital humanities’ adopt such mining platforms which helps in achieving greater insight into the diverse cultures and languages, in turn, promoting easy learning experience for indigenous languages.
Abstract: Effective communication occurs when the receiver and sender both understand and synchronize the flow of information across board. The utility of language extends beyond human to human interaction and includes also, the use of syntactically formed programming languages to interact with digital systems. Nigeria has an estimate of over 450 languages, ...
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Assessing the Benefits and Challenges of Distributed Generation in Nigeria Power Distribution Network
Stephen Adole Benson,
Evans Chinemezu Ashigwuike,
Jacob Kehinde Ogunjuyigbe
Issue:
Volume 5, Issue 1, March 2019
Pages:
8-13
Received:
7 March 2019
Accepted:
12 April 2019
Published:
20 May 2019
Abstract: The growing concern for the need to reduce the gap between power generated and power consumed in Nigeria is on the increase. Many measures and policy have been geared by Nigeria Electricity Regulatory Commission and Ministry of Power to revamp the generation aspect of the country power sector but the impact is yet to be felt as the amount of power still generated is far below par compared to other countries. Nigeria average power generation stands at an average of 5800MW. With the call to see the need of exploring Distributed generation in augmenting the power generated, this paper reviews the benefits and challenges of integrating Distributed generation into the present power system distribution network may pose.
Abstract: The growing concern for the need to reduce the gap between power generated and power consumed in Nigeria is on the increase. Many measures and policy have been geared by Nigeria Electricity Regulatory Commission and Ministry of Power to revamp the generation aspect of the country power sector but the impact is yet to be felt as the amount of power ...
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Predictive Vehicle Route Optimization in Intelligent Transportation Systems
Mohamad Abdul-Hak,
Nizar Al-Holou,
Youssef Bazzi,
Malok Alamir Tamer
Issue:
Volume 5, Issue 1, March 2019
Pages:
14-28
Received:
7 March 2019
Accepted:
26 April 2019
Published:
20 May 2019
Abstract: Through the adoption of dedicated short-range communication (DSRC) wireless communication technology, intelligent transportation systems (ITS) will spur a new revolution in the U.S. transportation system. This paper is structured around providing drivers with the least-congested transportation route choices enabled by the ITS-envisioned vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and infrastructure-to-vehicle (I2V) communication platforms. Recent research in vehicle navigation systems has proposed energy consumption and emission optimized routing methodologies using historical traffic data modeling. More than 50% of congestion in U.S. cities is nonrecurring congestion. Nonrecurring congestion reduces the availability of the traffic network, thus rendering historical traffic data-based systems insufficient in more than 50% of the cases. Real-time traffic data modeling provides an enhanced performance in traffic congestion assessment; however, greater performance is expected with a predictive traffic congestion model with increased certainty. This paper compares the conventional shortest path and fastest path vehicle routing methodologies and establish the improvement for environmentally friendly routing in a dynamic and predictive cost dependent traffic network based on Petri Net Modeling. The proposed routing algorithm is validated using a computer-based tool of choice.
Abstract: Through the adoption of dedicated short-range communication (DSRC) wireless communication technology, intelligent transportation systems (ITS) will spur a new revolution in the U.S. transportation system. This paper is structured around providing drivers with the least-congested transportation route choices enabled by the ITS-envisioned vehicle-to-...
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Fluctuation Analysis to Sequence of Ore-forming Element Based on Fractal-Jump Model
Lai Simin,
Wan Li,
Zeng Xiangjian
Issue:
Volume 5, Issue 1, March 2019
Pages:
29-34
Received:
12 April 2019
Published:
23 May 2019
Abstract: The self-similarity of ore-forming elements is caused by long-term, multi-period characteristics and the abnormal fluctuation induced by emergency in geological process. In this study, the fractal jump model referred as a combination of fractional Brownian motion and Poisson distributed jumps was built to depict the fluctuation pattern of ore-forming elements and simulate the distribution of Au sequence for three different mineralization intensities in Dayingezhuang gold deposit in the Jiaodong gold province, China. By calculating the fitting error and drawing the comparison diagram between the simulated data and the actual data, the applicability and advantages of the model were verified. The results showed that the fractal jump model can be considered as a reliable and computationally efficient method through the comparison of the statistical characteristics between simulated and real data. In addition, this model can well depict the change of the Au element content sequence, and better simulation was achieved when the intensity of mineralization was higher. The present work provides a new insight on the prediction of mineralized levels in concealed orebody.
Abstract: The self-similarity of ore-forming elements is caused by long-term, multi-period characteristics and the abnormal fluctuation induced by emergency in geological process. In this study, the fractal jump model referred as a combination of fractional Brownian motion and Poisson distributed jumps was built to depict the fluctuation pattern of ore-formi...
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Digital Differential Current Protection Scheme of Transformer Using an Arduino UNO Microcontroller
Emmanuel Ighodalo Okhueleigbe,
Joseph Ailenokhuoria Ogbekhiule
Issue:
Volume 5, Issue 1, March 2019
Pages:
35-39
Received:
28 February 2019
Accepted:
17 April 2019
Published:
4 June 2019
Abstract: Transformers are the key equipment in electrical power transmission. So the use of transformers protection in electric power systems is very crucial and critical as they are required for efficient transportation of electricity to consumers for long term. This paper is concerned with the differential current protection scheme of transformer using a differential relay technique with arduino Uno microcontroller as a differential relay responsible for comparing the differential current values and sends trip signal to the relay (acting as circuit breaker) to open the circuit when there is fault in the protected zone as a result of imbalance in the differential current values. The system is efficient in transformer protection, gives better isolation, has accurate fault detection and quick response time to clearing faults
Abstract: Transformers are the key equipment in electrical power transmission. So the use of transformers protection in electric power systems is very crucial and critical as they are required for efficient transportation of electricity to consumers for long term. This paper is concerned with the differential current protection scheme of transformer using a ...
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