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Development of a Remote Controlled Alert System for Automobile Access into Premises
Daniyan Ilesanmi,
Adeodu Adefemi,
Kayode Joseph,
Asibe Justice,
Aderoba Adeyemi
Issue:
Volume 5, Issue 5, October 2017
Pages:
61-66
Received:
22 April 2017
Accepted:
23 August 2017
Published:
22 September 2017
Abstract: There have been various developments of security system such as computer security systems which prevent unauthorized access to personal files, but there is more to this. Security ensures that there is no damage to your data and that only authorized users can read your files. This work focuses on the dimension of remote controlled alert system for automobile access using password credential. This remote control alert was done by research on how remote controlled systems and automatic gates work and the transfer of frequency signals through transmitters to receiver module to be used at homes, schools, industries and companies. The remote alert system was developed by combining major systems: the power generation system or power source, transmission system, reception system (the alert system, the actuation system and the display system. Results showed that at smaller distance of 15 cm, the response time was 0.12s while at a longer distance of 100 cm; the response time was 15.91s. A valid signal was received on the receiver output display for automobile access into a premise; therefore TLP 315MHz RF transmitter and the RLP 315 MHz RF receiver can be used for a shorter distance.
Abstract: There have been various developments of security system such as computer security systems which prevent unauthorized access to personal files, but there is more to this. Security ensures that there is no damage to your data and that only authorized users can read your files. This work focuses on the dimension of remote controlled alert system for a...
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An Integrated Power Grid Equipment Operation and Maintenance Solution Based on Big Data, Cloud Computing, the Internet of Things and Mobile Internet
Liang Dong,
Su Yirong,
Liu Zhiwei,
Liu Shen
Issue:
Volume 5, Issue 5, October 2017
Pages:
67-72
Received:
25 October 2017
Published:
31 October 2017
Abstract: The traditional operation and maintenance methods cannot meet the new demands of current grid operation and maintenance as it grows in both scale and complexity. Based on the analysis of the shortcomings of the existing methods, an integrated solution based on big data, cloud computing, the Internet of Things and mobile Internet is proposed in this paper. Internet of Things technologies such as RFID and wireless transmission are adopted to acquire and sense information of field equipment. Big data and cloud computing technologies are used to standardize field work management and supervise standard field work operation. Besides, a data exchange channel is built between maintenance site and control center via intelligent operation and maintenance terminals to enable data upload and interaction between maintenance site and control center.
Abstract: The traditional operation and maintenance methods cannot meet the new demands of current grid operation and maintenance as it grows in both scale and complexity. Based on the analysis of the shortcomings of the existing methods, an integrated solution based on big data, cloud computing, the Internet of Things and mobile Internet is proposed in this...
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Fuzzy C-means Clustering Applied to the Classification of Glycyrrhiza uralensis Communities in North China
Issue:
Volume 5, Issue 5, October 2017
Pages:
73-77
Received:
16 November 2017
Published:
20 November 2017
Abstract: Fuzzy C-means clustering is a soft technique and has some advantages in ecological studies. Glycyrrhiza uralensis is an endangered medicinal plant species and mainly distributed in North China. Species data of 100 plots of 5 m x 5 m from semi-arid and arid regions in North China were analyzed by fuzzy C-means clustering. A hundred plots were classified into 12 vegetation formations by fuzzy C-means clustering. These formations were main communities dominated by Glycyrrhiza uralensis in North China. Each formation has its own composition, structure, distribution range and environment, and all of them should be protected effectively. The results suggest that fuzzy C-means clustering is an useful technique for classification of plant community.
Abstract: Fuzzy C-means clustering is a soft technique and has some advantages in ecological studies. Glycyrrhiza uralensis is an endangered medicinal plant species and mainly distributed in North China. Species data of 100 plots of 5 m x 5 m from semi-arid and arid regions in North China were analyzed by fuzzy C-means clustering. A hundred plots were classi...
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Wear and Reliability Life of Large Modulus Gear Rack
Wang Decheng,
Chen Li,
Cheng Peng,
Liu Hongqi,
Shao Chenxi
Issue:
Volume 5, Issue 5, October 2017
Pages:
78-82
Received:
16 November 2017
Published:
20 November 2017
Abstract: In this paper, based on the Archard wear theory, numerical simulation method and Hertz contact theory, the numerical simulation model of gear rack wear is established under the influence factor of load and hardness for the wear condition of large modulus gear rack. The simulation calculation of its wear process and wear life is realized through the Matlab software. Results show: Along the tooth profile, wear rate of tooth root is greater than the crown. Maximum wear position is decided by comprehensive influence of contact stress and slip distance. The analysis calculation of large module gear rack’s wear process and life can be solved through the method of combining experiment and numerical simulation for good engineering application.
Abstract: In this paper, based on the Archard wear theory, numerical simulation method and Hertz contact theory, the numerical simulation model of gear rack wear is established under the influence factor of load and hardness for the wear condition of large modulus gear rack. The simulation calculation of its wear process and wear life is realized through the...
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