A System for Payroll Management

Gautam,

doi:10.3844/jcssp.2010.1531.1534

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…The SDO uses the GIMS mobile application to scan the bags. Once the bags are scanned the officer then uploads the information onto the cloud-based database (Gautam et al, 2010). This is done in real time (Nasr and Elbooz, 2018); this information can be viewed by anyone who has authorization from any location.…”

Section: Alignment Patternmentioning

confidence: 99%

Real-Time Data Capture Model for Accelerated Payment of Small-Scale Farmers

Mwansa¹,

Phiri²

2018

American Journal of Engineering and Applied Sciences

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Most developing countries especially in Africa face a number of challenges in the area of food security. These challenges include proliferation, theft, poor inventory system, poor transport and communication network. Zambia is one of the countries with these challenges and has been losing millions of dollars each year due to various challenges in managing the inventory system. In this paper, we are proposing a model for the inventory system based on Quick Response (QR) and cloud computing for real-time capture of grain bags brought in by farmers at the satellite depot. The government supplies farming input to local farmers and buys the grain back from the farmers. This study is looking at part of the buying process which requires the movement of grain from the local farmer to the government. The grain forms part of the national food storage reserve. The proposed system first requires tagging the grain bags then capture the details of the farmer and attach to the grain bags. Our proposed model based on cloud technologies is integrated with the mobile application used to read the QR code attached to the grain bags. These details are then linked to the details of the farmer in the database. These captured data regarding the farmer and grain bags supplied at the satellite depot are made available to the decision makers in real-time. Out results show that the proposed model will helps to address a number of challenges that the current system has been facing. These include accelerated process of paying the local farmers supplying grain to the government which used to take months. It will also help to give the grain stock statistics in real time per region and the country at large. This model will be very useful for most developing countries in managing their grain.

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Section: Alignment Patternmentioning

confidence: 99%

Real-Time Data Capture Model for Accelerated Payment of Small-Scale Farmers

Mwansa¹,

Phiri²

2018

American Journal of Engineering and Applied Sciences

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“…"Forexample:{bread} =>{eggs}.Herebreadistheantecedentandeggistheconsequent.Antecedentistheitemthatis foundinthedatabase,andconsequentistheitemthatisfoundincombinationwiththefirst. Gautam & Pardasani (2010) presented an efficient version of Apriori algorithm for mining multilevel associationrulesinlargedatabasesforfindingmaximumfrequentitem-setatlowerlevelofabstraction. Therearetwoimportantbasicmeasuresforassociationrules,supportandconfidence.Supportofan associationruleisdefinedasthepercentageofrecordsthatcontainitemsA ∪ Btothetotalnumber ofrecordsinthedatabase.Confidenceofanassociationruleisdefinedasthepercentageofthe numberoftransactionsthatcontainitemsA ∪ BtothetotalnumberofrecordsthatcontainitemA.…”

Section: Introductionmentioning

confidence: 99%

Opportunity Cost Estimation Using Clustering and Association Rule Mining

Agarwal

2019

International Journal of Knowledge-Based Organizations

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Information mining strategies are most appropriate for the classification, useful patterns extraction and predications which are imperative for business support and decision making. However, an efficient method for evaluating the penalty cost has not been proposed. In this article, considering the cross-selling effect, a quantitative approach to estimate the opportunity cost based on association rules in each cluster is proposed. This article helps in better decision making for improving sales, services and quality, which is useful mechanism for business support, investment, and surveillance. A numerical illustration is utilized to clarify the new approach. Further, to understand the effect of above approach in the real scenario, experiments are conducted on a real-world dataset.

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