Designing a Machine Learning – Based Framework for Enhancing Performance of Livestock Mobile Application System

Wanga, Herbert Peter

doi:10.11648/j.ajsea.20150403.13

Cited by 6 publications

(3 citation statements)

References 2 publications

(1 reference statement)

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“…The recent advances in technology have enabled the use of electronic gadgets in everyday life [10]. Everything is getting automatic and smarter with the passing of days.…”

Section: Problem Statementmentioning

confidence: 99%

War against Coronavirus (COVID – 19) in Tanzania: Designing a Low Cost Automatic Water Tap

Wanga¹,

Joseph²,

Chuma³

2020

IJCATR

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In December 2019, an outbreak of severe acute respiratory syndrome coronavirus 2 (SARSCoV-2) infection occurred in Wuhan, Hubei Province, China and spread across China and beyond. On February 12, 2020, WHO officially named the disease caused by the novel coronavirus as Coronavirus Disease 2019 (COVID-19). On January 30, 2020, WHO declared COVID-19 as the sixth public health emergency of international concern. One of the major preventions is frequent hand washing. An attempt has been made to design a low-cost automatic water tap as a measure to fight the spread of Coronavirus (Covid-19). The designed system uses simple, easy to get and low cost instruments. The system does not require a user to touch the water tap. It uses microcontroller to implement intelligence. The solar panel is used as a source of power. The system design uses green solution based automatic water tap. The system will be used in gatherings to avoid Coronavirus spreading. Such gathering places include hospitals, markets, bus stops, public transports, churches, mosques, and restaurants.

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“…The recent advances in technology have enabled the use of electronic gadgets in everyday life [10]. Everything is getting automatic and smarter with the passing of days.…”

Section: Problem Statementmentioning

confidence: 99%

War against Coronavirus (COVID – 19) in Tanzania: Designing a Low Cost Automatic Water Tap

Wanga¹,

Joseph²,

Chuma³

2020

IJCATR

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“…Most devices developed today are developed to be automatic and smarter. According to [10], automatic water faucets (taps) have become a staple in public places of developed nations. They are convenient, energy efficient, hygienic, and water efficient.…”

Section: Introductionmentioning

confidence: 99%

Low Cost Sensor Based Hand Washing Solution for COVID-19 Prevention

Yadessa

Salau

2021

2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)

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One of the most effective solutions in the preventive endeavors for infectious diseases such as the COVID-19 pandemic is the application of frequent hand washing. In developing countries, there are several low cost touch-free hand washing solutions involving the use of foot operated mechanisms. However, the use of embedded processors in the design of automatic electronic systems to provide convenience and smarter solutions has in recent times gained unique attention globally. In this paper, we employed an Arduino based microcontroller as processor and ultrasonic based distance sensors to implement a touch-free hand washing mechanism. The microcontroller processes received sensor signals and sends desired command signals to operate two DC motors. A DC pump and servo motor are used to facilitate simple yet effective dispensation of water and soap respectively without any physical contact with the user. The simulation of the developed system was performed with Proteus. The system is also experimentally verified to meet the desired design requirements.

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“…Hence there is a need to enhance performance of livestock mobile application systems., i.e., it is crucial for livestock keepers to be able to make an accurate prediction of the upcoming livestock price so they can make appropriate moves in order to either minimize their losses or maximize their profits. As [5] and [6] argued, livestock keepers have many requirements, one of them being knowing future prices.…”

Section: Introductionmentioning

confidence: 99%

On the Development of Machine Learning – Based Application Framework for Enhancing Performance of Livestock Mobile Application Systems in Poor Internet Service Areas

Wanga¹,

Ghani²,

Kalegele³

2017

IJCA

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In this paper, authors developed an intelligent subsystem which manages training set, finds high accuracy models, selects best model to be used, computes prediction, stores in the database, and sends to the user interface through internet during online mode, and in offline mode through developed log file and filtering method. The intelligent subsystem is one of solutions which support mobile phone systems to be executed offline, on mobile device. Prediction results can be locally stored in the database and log file while in presence of a fairly good connection environment. Thereafter, offline predictions are made available when a poor quality in connection comes. System development covers intelligent subsystem, MySQL database development, log file, filtering of information, and Android application. Apart from viewing predictions basing on ElasticNet algorithm, the system allows a user to register, login, and access livestock market, information portal, information request, information responses, and submit daily records.The filtering techniques are used to select part of information from the log file. The log file created on the last online activity is used to serve all the offline operations as follows: -1) Once the user has selected the offline option in the app's interface, he/she is directed to select the breed, sex and grade. 2) Upon submission of his/her input i.e. breed, sex and grade, the system reads the log and through the filtering algorithm, the predicted price is captured and displayed to the user.Overall, this paper makes the following six key contributions; (1) Creating a mechanism to select a subset of information between livestock keeper and server. The subset of information is used when internet fails. (2) To design and implement machine learning based sub-system that is able to select frequently asked requests and make them available to livestock keepers during the offline mode. (3) To develop a subsystem, this is ad hoc and performs model selection. (4) Model creation that evaluates more than one algorithm in our setting or context. Others compared algorithms in their settings. (5) Introduction of a smaller database that replicates information, which smallholder farmers requests online and stores them to be available during offline state. (6) Using database of the phone to store vital information.

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Designing a Machine Learning – Based Framework for Enhancing Performance of Livestock Mobile Application System

Cited by 6 publications

References 2 publications

War against Coronavirus (COVID – 19) in Tanzania: Designing a Low Cost Automatic Water Tap

War against Coronavirus (COVID – 19) in Tanzania: Designing a Low Cost Automatic Water Tap

Low Cost Sensor Based Hand Washing Solution for COVID-19 Prevention

On the Development of Machine Learning – Based Application Framework for Enhancing Performance of Livestock Mobile Application Systems in Poor Internet Service Areas

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