Agent-Based Modeling: Methods and Techniques for Scheduling Industrial Machine Operation

Owing to its impact on the industrial economy, job shop scheduler and controller are vital algorithms for modern manufacturing processes. Hence a production scheduling and control that performs reactive (not deterministic) scheduling and can make decision on which job to process next based solely on its partial (not central) view of the plant becomes necessary. This requirement puts the problem in the class of agent based model (ABM). Hence this work adopts an alternative view on job-shop scheduling problem where each resource is equipped with adaptive agent that, independent of other agents makes job dispatching decision based on its local view of the plant. 

A combination of Markov Chain instruments and agent oriented analysis is used in the analysis of the proposed agent based model (ABM) for the job shop scheduling problem. The Markov Chain approach allows a rigorous analysis of the ABM. It provides a general framework of aggregation in agent-based and related computational models by making use of Markov Chain aggregation and lumpability theory in order to link the micro and the macro level of observation. Simulated annealing technique is used for carrying out the optimization modeling for the ABM. 

By Chiagunye Tochukwu | Inyiama Hyacinth | Aguodoh Patrick C."Agent-Based Modeling: Methods and Techniques for Scheduling Industrial Machine Operation" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017, 

Paper URL: http://www.ijtsrd.com/papers/ijtsrd7018.pdf  

Direct URL: http://www.ijtsrd.com/engineering/computer-engineering/7018/agent-based-modeling-methods-and-techniques-for--scheduling-industrial-machine-operation/chiagunye-tochukwu

open access journal of engineering, ugc approved journals for engineering, special issue publication

Route Optimization of Municipal Solid Waste Collection in Jabalpur City using ARC GIS

Uncontrolled growth of the urban population in developing countries in recent years has made solid waste management an important issue, so the system for collection of solid waste thus constitutes an important component of an effective solid waste management system.Waste collection become more complex in developed countries in terms of logistic, fuel , labor cost and air pollutants emission. In this study, solid waste collection routes optimization using Geographical Information System (GIS Arc View) was investigated.

The present route were optimized to reduce the length of the routes and consequently the time taken to complete the collection. The problem of waste collection in Jabalpur city has been considered where sources are dispersed by varied way. In this work, the waste transportation problem for time and cost effective waste management system design has been carried out.

The work proposed a route upgrading associated with the current routes taken by the solid waste collection trucks in the Rampur area (Jabalpur); and shows a better performance in terms of fuel consumption, emissions from the trucks and less operational costs, making it a solution to urban environmental management.

BY Sandeep Kumar Gupta | Prof. R. K. Bhatia"Route Optimization of Municipal Solid Waste Collection in Jabalpur City using ARC GIS"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017,

Paper URL: http://www.ijtsrd.com/papers/ijtsrd7000.pdf 

Direct URL: http://www.ijtsrd.com/engineering/civil-engineering/7000/route-optimization-of-municipal-solid-waste-collection-in-jabalpur-city-using-arc-gis/sandeep-kumar-gupta

UGC Approved Journal, Engineering Journal

Improving Frequency Stabilization in Power System Network using Optimization Method

The new concept of Integrated Power Network Controls transcending Generation, transmission, Distribution and even Local Consumption, have been found to leverage on the reliability of the composite system unit controls if the robustness of the entire system to faults and interruptions would be optimized. This paper presents an improvement to frequency stabilization in power system network by developing an optimization network - the controller network or the optimization network controller using matlab code adjuster to get the desired stable frequency of 50Hz. The optimization network thus implements a widely acceptable and a global control scheme applicable to varied environments and situations.

By Aguodoh Patrick C. | Udeani Henrietta U."Improving Frequency Stabilization in Power System Network using Optimization Method"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017,

Paper URL: http://www.ijtsrd.com/papers/ijtsrd7017.pdf 

Direct URL: http://www.ijtsrd.com/engineering/computer-engineering/7017/improving-frequency-stabilization-in-power-system--network-using-optimization-method/aguodoh--patrick-c

Open Access Journal, Engineering Journal

Modeling a Multivariable Process Control System using PID Optimization

Many process control model have been observed to have unsatisfactory output variables, such as pressure, composition, temperature, at specified values, giving rise to overshoot and unbounded responses. A lot of methods have been adopted to curb this undesirable effect, starting from the use of different configurations of controllers. This paper presents the model of a multivariable process control using labview proportional, integral and derivation controllers (PID).

Modeling and control of multivariable process using optimization can be effectively achieved by optimization of proportional, integral, derivative volume of liquid L coupled with using appropriate transfer functions and accurate labview controllers for the modeling to achieve the controlling of the volume of cold and hot water to be in the proportion of 3:1.

By Aguodoh Patrick C. | Chiagunye Tochukwu T."Modeling a Multivariable Process Control System using PID Optimization"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017,

Paper URL: http://www.ijtsrd.com/papers/ijtsrd7016.pdf 

Direct URL: http://www.ijtsrd.com/engineering/computer-engineering/7016/modeling-a-multivariable-process-control--system-using-pid-optimization/aguodoh--patrick-c

Paper Publication, Engineering Journal

Enhancing the Channel Capacity of a Cellular Mobile System using Frequency Diversity

Communication industries have been encountering a lot of problems in their communication links some of such difficulties or problems are Interference, fading, overhanging, attenuation and congestion. Transmitted signals with different frequencies are affected in different ways in frequency domain. The fact is an advantage in frequency diversity technique. Multiple replicas of information signal are sent over several affected frequency band in this diversity.

In a sufficient wide signal bandwidth, multipath components can resolve. This paper presents the technique that can enhance the channel capacity of a cellular mobile system. Error control coding and interleaving using frequency diversity was used to combat time selective or fast fading in communication link.

In the result, it is possible to obtain different independently fading signal. The number of resolvable multipath equation is used to approximate the maximum achievable diversity order for multipath diversity.

By Aguodoh Patrick C. | Chineke Hyacinth A."Enhancing the Channel Capacity of a Cellular Mobile System using Frequency Diversity"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017,

Paper URL: http://www.ijtsrd.com/papers/ijtsrd7015.pdf 

Direct URL: http://www.ijtsrd.com/engineering/computer-engineering/7015/enhancing-the-channel-capacity-of-a-cellular--mobile-system-using-frequency-diversity/aguodoh--patrick-c

International Journal, Engineering Journal

Analyzing Titanic Disaster using Machine Learning Algorithms

Titanic disaster occurred 100 years ago on April 15, 1912, killing about 1500 passengers and crew members. The fateful incidents still compel the researchers and analysts to understand what could have led to the survival of some passengers and demise of the others. With the use of machine learning methods and a dataset consisting of 891 rows in the train set and 418 rows in the test set, we attempt to determine the correlation between factors such as age, sex, passenger class, fare etc. to the chance of survival of the passengers. These factors may or may not have impacted the survival rates of the passengers.

In this research paper, we use various machine learning algorithms namely Logistic Regression, Naïve Bayes, Decision Tree, Random Forest to predict the survival of passengers. In particular, we attempt to compare these algorithms.

By Dr. Prabha Shreeraj Nair"Analyzing Titanic Disaster using Machine Learning Algorithms"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017,

Paper URL: http://www.ijtsrd.com/papers/ijtsrd7003.pdf 

Direct URL: http://www.ijtsrd.com/engineering/computer-engineering/7003/analyzing-titanic-disaster-using-machine-learning-algorithms/dr-prabha-shreeraj-nair

International Journal, Engineering Journal

Traffic light Controller for the Congested Urban Route using PLC & Ambulance Detection using RF Transmitter & Receiver with Lab VIEW

Traffic signals are the most convenient method of controlling traffic in a busy junction. Present traffic Signals fail to control the traffic effectively when a particular lane has got more traffic than the other lanes. In this paperan intelligent traffic control system using PLC is proposed. System measures the traffic density on each road bycounting the number of vehicles and then takes the decision. Programming is done using ladder diagram.

Seimens S7-1200 PLC is have been used for the system implementation. Traffic management on the road has become a severe problem of today's society because of growth of the urbanization. This leads to traffic jam at the traffic junctions which in turn causes delay to ambulances. In order to overcome this problem, this paper presents a simple ambulance controlled traffic system.

The main objective of this system is that to control the traffic, allowing an ambulance to arrive at a particular location without it having to stop anywhere until the destination is reached. This system includes RF Transmitter & Receiver technology and Lab VIEW software.

By Mamatha R "Traffic light Controller for the Congested Urban Route using PLC & Ambulance Detection using RF Transmitter & Receiver with Lab VIEW"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017,

Paper URL: http://www.ijtsrd.com/papers/ijtsrd5954.pdf 

Direct URL: http://www.ijtsrd.com/engineering/automotive-engineering/5954/traffic-light-controller-for-the-congested-urban-route-using-plc-and-ambulance-detection-using-rf-transmitter-and-receiver-with-lab-view/mamatha-r-

Indexed Journal, Engineering Journal