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Publisher: Research Plus Journals   (Total: 4 journals)   [Sort by number of followers]

Showing 1 - 4 of 4 Journals sorted alphabetically
Intl. J. of Advanced Research in Engineering     Open Access  
Intl. J. of Business Administration and Management Research     Open Access  
Intl. J. of Research in Science     Open Access   (Followers: 1)
Intl. Research J. of Electronics & Computer Engineering     Open Access   (Followers: 1)
Journal Cover International Research Journal of Electronics & Computer Engineering
  [1 followers]  Follow
  This is an Open Access Journal Open Access journal
   ISSN (Online) 2412-4370
   Published by Research Plus Journals Homepage  [4 journals]
  • Development of IoT-Based Sensor Tag for Smart Factory

    • Authors: Young Sik Moon; Hyung Rim Choi, Jae Joong Kim, Dong Wan Kim, Jae Hee Cho, Jun Woo Kim, Jun Woo Jeong
      Abstract: To reduce the rate of defective products and ensure the health of employees, it has become increasingly necessary to improve air quality in factories. To do so, it is important to accurately determine the air quality in the factory first. However, currently available industry-grade sensors require complex and often separate construction processes, making them difficult to use in complicated industrial sites. In order to solve such an issue, this study developed an IoT-based sensor that can collect data such as factory temperature, humidity, CO2 levels, dust, and stench. This study has also developed software to manage the IoT-based sensors, which can transmit the data via RF communication. Sensor tags were tested for basic environmental durability, including waterproof, dustproof, and vibration standards. The sensors can be connected via USB to a computer to configure its settings and access the stored data within the sensors. Unlike other existing environmental sensors, these can be easily installed anywhere as they transmit data via wireless communication. These sensors can also be installed in the factory to check the factory’s internal pollution level in real time. The application of this sensor will enable the real-time monitoring of air pollution in factories. By locating the polluted areas accurately, it will be possible to exercise distributed control over ventilation devices to prevent further spread of pollutants, while also pushing out the polluted air to maintain an optimal working environment. Future studies should develop a simulation model for determining the ideal installation location for the sensors. There also needs to be further studies in developing a distributed-controlled air-conditioning system to run empirical tests.
      PubDate: Sun, 31 Dec 2017 00:00:00 -060
  • Affecting Factors Titanium Oxide of Nanoparticles for the Electrical
           Effect on Insulation Resistance of the Transformer Oil

    • Authors: Sobhy. S. Dessouky; Saad A. Mohamed Abdelwahab, Mohammed Shaban
      Abstract: In most cases, The electrical insulation of the transformer oil will be exposed to different internal problems, such as short circuit , over voltage, over load, over excitation and etcetera. The insulation of transformer will be sever decreased into minimum value. This requires some treatments of oil liquid ,such as refining or replacing the damaged oil with a new, which is a very expensive process. In this paper, the Insulation Resistance (IR) of transformer oil will be enhanced by using nanoparticles NPs. Titanium oxide (TiO2) one of them, which will be used in this experiment. The (NPs) improve the insulation, physical and chemical properties of transformer oil. The breakdown voltage will be tested for pure oil and after the addition (TiO2) according to IEC standard methods. The results of this study indicated that addition of TiO2 in certain quantities of pure oils can be affected the Insulation Resistance (IR) and electrical breakdown voltage. A comparative study was conducted to identify the effects of using nanoparticles in pure transformer oils to ensure their effect on electrical Insulation Resistance (IR). The results are indicated an increasing in the breakdown voltage and the dissipation factor of the transformer oil, thus results using nanoparticles oil higher than pure oil.
      PubDate: Fri, 29 Dec 2017 09:41:12 -060
  • Largely Scalable Wireless Network Formation Architectures for Internet of

    • Authors: Orhan Orhan; Huseyin Goren
      Abstract: As number of mobile devices increases with Internet of Things (IoT) capability and power consumption is important in multi hop communication, there is need of considering network formation architectures inIoT networks.In this work power levels of nodes, urgency of messages to be transmitted are not taken into consideration, a general approach considered with all nodes with same power levels and no priority for messages to be sent.Another assumption is all nodes are on the same 2D plane.  Multi hop wireless network architectures studied and scalable, best performing architecture which is hypercubic network architecture is highlighted for IoT networks. Especially for large number of nodes needs to be considered hypercubic architecture performs much better than mesh, tree and ring kind of architectures in terms of dilation and number of connections. The simulation results are based on a simulator developed on C++ program. The results are showed that Hypercubic architecture with logarithmic dilation is much better than other network types. Cube Connected Cycles (CCC)based network architecture (which is derivative of Hypercube) can be preferred, especially when a constant degree is needed, in communication technologies such as Bluetooth. As a future work, a network architecture study can be made which takes energy levels and urgency of messages to be sent.
      PubDate: Fri, 29 Dec 2017 09:25:17 -060
  • Enhancing Teaching and Learning at the University of Venda Utilising
           Digital Mobile Devices

    • Authors: Ratchel Chikurunhe; Armstrong Kadyamatimba
      Abstract: The University of Venda(Univen) distributed tablets to students for facilitating and enhancing their studies. However, the provision of tablet PCs to students may not be a panacea for quality learning, especially to technological disadvantaged rural student  population. The aim of study was to investigate the use of digital mobile devices for enhancing teaching and learning at the Univen. The research questions focused on determining the current level of use of mobile devices, how they can be used effectively for teaching and learning. Mixed methods approach was applied with data being solicited from a convenient sample of students, lecturers and an IT technician. The results of the study indicated that many students and lecturers are active and have higher perceptions of mobile devices usage. The results of the study are to be used to explicate and advance the integration of the mobile devices for promoting learning and teaching accomplishments. The findings clearly showed that mobile devices have a positive impact on the academic experience. The results also indicate that there is a gradual acceptance of the Learners Management Systems (Blackboard) by both academics and students. The digital mobile devices are eventually enhancing teaching and learning at Univen.
      PubDate: Fri, 29 Dec 2017 09:12:48 -060
  • Hybrid Genetic Algorithm and Kalman Filter Approach to Estimate the
           Clamping Force of Electro-Mechanical Brake

    • Authors: Junhyung Bae; Sangjune Eum, Seonghun Lee
      Abstract: In thispaper, a hybrid genetic algorithm (GA) and Kalman filter approach to combining motor encoder and current sensor models is presented to accurate estimate the clamping force of an electro-mechanical brake (EMB). Elimination of the clamping force sensor and measurement cables results in lower cost and increased reliability of an EMB system, including its electric motor.A Kalman filter is a special kind of observer that provides optimal filtering of the measurement noise and inside the system if the covariances of these noises are known. The proposed combined estimator is based on Kalman filter optimized by GA in which the motor encoder is used in a dynamic stiffness model and the motor current sensor is used to give measurement updates in a torque balance model. A real-coded GA is used to optimize the noise matrices and improve the performance of the Kalman filter. Experimental results show that, by using the proposed estimator, the virtual clamping force sensor can handle highly dynamic situations, making it suitable for possible use in sensorless fault-tolerant control. It is shown that the proposed combined estimator improves the root mean square error (RMSE) performance. The developed estimator can be used in real vehicle environments because it can adapt to parameter variations.
      PubDate: Fri, 29 Dec 2017 08:52:14 -060
  • Perceptions of Female Drivers Using Mobile Driving- Aided Applications in
           Saudi Arabia

    • Authors: Ikhlas Zamzami
      Abstract: Although is highly inadvisable for drivers to use their smartphone while driving, certain mobile applications provide driving assistance. These apps may come in the form of intelligent surrounding awareness apps that can alert the driver of anything amiss, for example by way of detecting potential hazards and providing collision warnings. Such apps are particularly useful for new and unexperienced drivers, as applicable to most women in Saudi Arabia where the ban on driving has just been lifted. The views and perceptions on the use of this kind of application provides valuable insight into its potential value and efficiency. Regrettably, there is a lack of studies on the user perception of mobile driving-aided applications in general and that of Saudi Arabian women drivers in particular. As a result, this study undertakes an exploratory survey to investigate the readiness of Saudi Arabian women to use mobile driving-aided applications and their perceptions. 329 respondents participated in the survey. The result indicates that a considerable number of respondents welcome the use of mobile driving-aided applications.
      PubDate: Fri, 29 Dec 2017 08:27:58 -060
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Tel: +00 44 (0)131 4513762
Fax: +00 44 (0)131 4513327
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