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Cyber Security and Computational Laws in Nigerian Banking System
Issue:
Volume 7, Issue 2, December 2019
Pages:
16-20
Received:
12 October 2019
Accepted:
8 November 2019
Published:
15 November 2019
DOI:
10.11648/j.net.20190702.11
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Abstract: Banking system is central nervous system of any nation and cyber security and computational law is a major problem of banking system. The main aim of this research work is to examine the efficiency of cyber security and computational laws in Nigerian banking system, in this survey research method were used both primary and secondary data were used which includes; questionnaire, interview and internet were used in this work the data were analyzed using correlation and regression technique and Chi-square were used to test the hypothesis. From the Chi-square (x2) distribution table, the degree of freedom 3 under the level of significance (0.05) = 7.8 15. Since the x2 calculated is greater than x2 statistical value i.e. 9.389>7.815, the null hypothesis is rejected and the alternative hypothesis is accepted. This means there is an efficiency of cyber security law in the Nigerian banking system.
Abstract: Banking system is central nervous system of any nation and cyber security and computational law is a major problem of banking system. The main aim of this research work is to examine the efficiency of cyber security and computational laws in Nigerian banking system, in this survey research method were used both primary and secondary data were used ...
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A Smart Semi-Automated Multifarious Surveillance Bot for Outdoor Security Using Thermal Image Processing
Mehedi Hasan,
Ashik Zafar Dipto,
Moumita Sadia Islam,
Afran Sorwar,
Shihabul Alam
Issue:
Volume 7, Issue 2, December 2019
Pages:
21-28
Received:
13 October 2019
Accepted:
12 November 2019
Published:
19 November 2019
DOI:
10.11648/j.net.20190702.12
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Abstract: Unauthorized entry in restricted areas represents an obvious security issue. Therefore, strict monitoring is highly required in order to ensure security. This research presents a smart surveillance bot for highly restricted areas with (1) automatic surveillance of an area specified by the user and obstacle detection and avoidance using Ultrasonic Sensor (2) human detection using Infrared (IR) thermal camera and identification of friend or foe (IFF) using RFID tags (3) live video surveillance using camera and manual remote control mode. The bot has the ability to detect human presence in an area using thermal image processing. If the bot detects and human presence while operating in surveillance mode, it confirms whether the person is a friend or foe by reading RFID. If the bot identifies the person as foe, it automatically sends the user a notification of intrusion and turns on live video streaming. The user would be able to take total control of the bot remotely in order to verify and judge on the situation using live video streaming. It also exhibits warning message in its display and points a toy gun at the intruder. In real life cases, the toy gun can be replaced with actual ones. The user bears the authority to decide whether to shoot or not. Due to having tank rover chassis, the robot has the ability to maneuver in rough terrains which enhances its versatility and usability.
Abstract: Unauthorized entry in restricted areas represents an obvious security issue. Therefore, strict monitoring is highly required in order to ensure security. This research presents a smart surveillance bot for highly restricted areas with (1) automatic surveillance of an area specified by the user and obstacle detection and avoidance using Ultrasonic S...
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Minimization of Total Operation Cost and the Risk of Shedding in Microgrids
Issue:
Volume 7, Issue 2, December 2019
Pages:
29-36
Received:
20 October 2019
Accepted:
13 November 2019
Published:
20 November 2019
DOI:
10.11648/j.net.20190702.13
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Abstract: The objective of this paper is to determine and minimizes the total operation cost and the risk of load shedding in a microgrid (μG) composed of two areas: a generation center and a load center. The system operation is formulated as an optimization problem, where the objective function minimizes the costs of the system operation and the risk of load shedding. The constraints secure the balance between generation and load. Also generation and transmission may not exceed the available capacity. Monte Carlo simulation (MCS) is used for the solution of the optimization problem giving two main outputs: loss of load occasion (LOLO) and total operation cost (TOC). A variance reduction technique is used to reduce the variance of MCS. One other objective of the paper is to study how much the simulation efficiency can be improved by introducing variance reduction techniques. Simulation results shows that, (i) the formulated optimization problem, objective function, and constraints is capable to achieve the study target, and (ii), with even a quite straightforward and simple model the proposed MCS methods show considerable variance reductions compared to Simple sampling in this model of the μG.
Abstract: The objective of this paper is to determine and minimizes the total operation cost and the risk of load shedding in a microgrid (μG) composed of two areas: a generation center and a load center. The system operation is formulated as an optimization problem, where the objective function minimizes the costs of the system operation and the risk of loa...
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Technical Innovation of Contactor Applications (TICA)
Samuel Llewellyn Davies,
Samuel Olusegun Alase
Issue:
Volume 7, Issue 2, December 2019
Pages:
37-44
Received:
21 October 2019
Accepted:
21 November 2019
Published:
26 November 2019
DOI:
10.11648/j.net.20190702.14
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Abstract: The idea here is slightly different from the general applications of contactor to electrical circuits, the said device is commonly used to make and to break electrical circuits automatically, it works for both single Phase and three Phase circuits, the difference between circuit breakers and contactors is that circuit breaker could only break automatically but cannot make until it is manually controlled, while contactors could. The technical innovation is the uncommon application of electrical contractors which are the switching off of generator when mains arrived and the ability to display indicators belonging to mains, generator and the load. Technical connectivities between the mains, generator and the load of contactor. The advantage of the connectivity is that the user will not need to get up to put off generator and to change over manually. All of that has been taken care of by the set up. The Prototype of the setup has been designed and constructed for result. Contactors are useful in commercial and industrial applications for controlling large lighting loads, for controlling motors, for fast changing over between electrical power sources and for Interconnectivity in power plants. Users of contactors will not have to move about to switch off generator and to change over power to mains when it is available, there will be no need for manual changeover device, working electrical and electronic devices would not be interrupted and one of their hallmarks is reliability. Contactor does not simply wear out from normal use. It prevents user from electric shock and there is no earthing.
Abstract: The idea here is slightly different from the general applications of contactor to electrical circuits, the said device is commonly used to make and to break electrical circuits automatically, it works for both single Phase and three Phase circuits, the difference between circuit breakers and contactors is that circuit breaker could only break autom...
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Fuzzy Models Applied to Medical Diagnosis: A Systematic Review
Labiga Laban Thomas,
Ibrahim Goni,
Gideon Daniel Emeje
Issue:
Volume 7, Issue 2, December 2019
Pages:
45-50
Received:
20 October 2019
Accepted:
21 November 2019
Published:
27 November 2019
DOI:
10.11648/j.net.20190702.15
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Abstract: Fuzzy logic lies in the ability to process nonlinear relationships. Because of the clinical complexity and pathologic heterogeneity of various diseases, correct identification of patients with active disease likely depends on the presence of a single defining feature. Hence, it is not surprising that standard linear statistical methodologies are relatively inadequate for medical diagnosis. In the medical field, dealing with diagnosis error and several levels of uncertainties and imprecision in the diagnoses of diseases had been a great challenge. To solve such problems, artificial intelligence gives a solution through expert system. Fuzzy Logic handles uncertainties, imprecisions and obscurity in decision making. Fuzzy logic is been preferred by Researchers because of its flexible structure and use of intuitive methods instead of specific algorithm. It deals with the degree of membership as it refers to the extent to which an event occurred or can occur. Fuzzy set uses the continuum of logical values between 0 and 1. Different Fuzzy models were reviewed. These systems diagnose many diseases such as: Malaria born infectious disease, Heart related diseases or cardiovascular diseases (like Atherosclerosis), cancer, Asthma, Lungs cancer, Cold and Flu, Hepatitis, Osteomyelitis and Meningitis. In the near future, medical service delivery will be more accessible and more efficient due to availability of Medical Diagnostic Systems.
Abstract: Fuzzy logic lies in the ability to process nonlinear relationships. Because of the clinical complexity and pathologic heterogeneity of various diseases, correct identification of patients with active disease likely depends on the presence of a single defining feature. Hence, it is not surprising that standard linear statistical methodologies are re...
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GA Technique to Solve the Load Frequency and Tie-Line Power Problem of Thermal Generating Unit
Ashish Dhamanda,
Gajendra Singh Rawat
Issue:
Volume 7, Issue 2, December 2019
Pages:
51-58
Received:
19 October 2019
Accepted:
20 November 2019
Published:
2 December 2019
DOI:
10.11648/j.net.20190702.16
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Abstract: For a wide role of a electric power system, Automatic Generation Control (AGC) is responsible to area load changes and abnormal imprecise system operating parameters essentially means very fast minimization of area frequency changes and mutual tie line power flow changes of the areas for satisfactory and stable operation of the system. Some technique gives the good results in normal operation but in abnormal condition, it take large time to settle down the load disturbance, which is harmful for the system. Genetic Algorithm (GA) Technique) provides better control performance over frequency deviations and tie line power flow deviations due to a normal and abnormal operating condition of sudden load changes. In this paper six area model of thermal generating units has been developed and simulated in MATLAB Simulink software. Response of the developed model has been obtained by GA technique and compared with the other technique like; fuzzy, PID. Tabulated result shows that the GA technique give the better performance over the other technique due to settling down the frequency and tie line power flow changing in less time and maintenance the system constancy with the litmits.
Abstract: For a wide role of a electric power system, Automatic Generation Control (AGC) is responsible to area load changes and abnormal imprecise system operating parameters essentially means very fast minimization of area frequency changes and mutual tie line power flow changes of the areas for satisfactory and stable operation of the system. Some techniq...
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