scholarly journals Mobile Applications and Discrete Event Systems:Low Cost Technology to Assist Stock Management in an Orthopedic Clinic

2020 ◽  
Author(s):  
Daniela Trindade Batista
Keyword(s):  
Mobile Applications ◽  
Discrete Event ◽  
Stock Management

Mobile applications for client use: Ethical and legal considerations.

2019 ◽  
Vol 16 (2) ◽  
pp. 281-285 ◽  
Author(s):  
Amanda Edwards-Stewart ◽  
Cynthia Alexander ◽  
Christina M. Armstrong ◽  
Tim Hoyt ◽  
William O'Donohue
Keyword(s):  
Mobile Applications ◽  
Ethical And Legal Considerations

Usability and communication of mobile applications for risk management: the experience of MAppERS

2018 ◽  
Vol 46 ◽  
pp. 101-106
Author(s):  
Chiara Bianchizza ◽  
Simone Frigerio ◽  
Luca Schenato ◽  
Daniele Del Bianco
Keyword(s):  
Risk Management ◽  
Mobile Applications

Pemanfaatan Metode K-Means Dalam Penentuan Persediaan Barang

2018 ◽  
Vol 6 (1) ◽  
pp. 41-48
Author(s):  
Santoso Setiawan
Keyword(s):  
Data Mining ◽  
Stock Management ◽  
Transaction Data ◽  
Business People ◽  
Cluster Data ◽  
Data Clusters ◽  
Inventory Strategy ◽  
Transactional Data

Abstract   Inaccurate stock management will lead to high and uneconomical storage costs, as there may be a void or surplus of certain products. This will certainly be very dangerous for all business people. The K-Means method is one of the techniques that can be used to assist in designing an effective inventory strategy by utilizing the sales transaction data that is already available in the company. The K-Means algorithm will group the products sold into several large transactional data clusters, so it is expected to help entrepreneurs in designing stock inventory strategies.   Keywords: inventory, k-means, product transaction data, rapidminer, data mining   Abstrak   Manajemen stok yang tidak akurat akan menyebabkan biaya penyimpanan yang tinggi dan tidak ekonomis, karena kemungkinan terjadinya kekosongan atau kelebihan produk tertentu. Hal ini sangat berbahaya bagi para pelaku bisnis. Metode K-Means adalah salah satu teknik yang dapat digunakan untuk membantu dalam merancang strategi persediaan yang efektif dengan memanfaatkan data transaksi penjualan yang telah tersedia di perusahaan. Algoritma K-Means akan mengelompokkan produk yang dijual ke beberapa cluster data transaksi yang umumnya besar, sehingga diharapkan dapat membantu pengusaha dalam merancang strategi persediaan stok.   Kata kunci: data transaksi produk, k-means, persediaan, rapidminer, data mining.

INTENSIVE MEAT AND WOOL PRODUCTION IN THE HIGHER RAINFALL AREAS OF OTAGO AND SOUTHLAND

1970 ◽  
pp. 181-190
Author(s):  
M.A. Monteath
Keyword(s):  
Stock Management ◽  
Wool Production

Details are given of intensive sheep farming on improved pastures in the #higher rainfall areas of Otago and Southland. The main features of pasture a,nd stock management used to achieve high levels of meat and wool production are described, and an outline is given of an all-grass, heavy stocking, farmlet study

PASTURE ESTABLISHMENT ON EAST COAST NORTH ISLAND HILL COUNTRY

1984 ◽  
pp. 216-218
Author(s):  
B.J. Arnst ◽  
O.L. Park
Keyword(s):  
White Clover ◽  
Carrying Capacity ◽  
Return On Investment ◽  
East Coast ◽  
Close Association ◽  
Development Programme ◽  
Low Fertility ◽  
Stock Management ◽  
Hill Country

Large areas of North Island hill country are producing below potential as a result of low fertility and poor pasture composition. Removal of undesirable species and replacement with a higher producing pasture is essential for increased productivity but is difficult to achieve. A development programme is described where the use of glyphosate in close association with oversowing and stock management has allowed rapid pasture establishment, marked increase in carrying capacity and a quick return on investment. Keywords: Pasture establishment, glyphosate, oversowing, white clover, subdivision, productivity.

Enhanced Brady-Tachy Heart Automotive (BT-Heartomotive) Device for Heart Rate Monitoring during Driving

2020 ◽  
Vol 17 (1) ◽  
pp. 7599-7606
Author(s):  
M. A. H. Mohd Adib ◽  
N. H. M. Hasni
Keyword(s):  
Heart Rate ◽  
Mobile Applications ◽  
Good Accuracy ◽  
Rate Measurement ◽  
Road Accidents ◽  
Heart Rate Monitoring ◽  
Physical Conditions ◽  
Car Accidents ◽  
Heart Rate Level ◽  
Main Components

Driving with brady-tachy syndrome is one of the main causes of car accidents. In order to prevent drivers from brady-tachy driving, there is a strong demand for driver monitoring systems. Other than problems in driving attitudes and skills, road accidents are also caused by uncontrollable factors such as medical conditions and drowsiness. These factors can be avoided by having early detection. Therefore, the brady-tachy heart automotive so-called BT-Heartomotive device is developed. This BT-Heartomotive device can detect early signs of drowsiness and health problems by measuring the heart rate of the drivers during driving. The device also could use the data to send an alert to the passengers that they’re in precaution. The device shows a good accuracy in the detection of the heart rate level. The device comprised three main components; wristband, monitor and integrated mobile applications. Heart rate measurement can reveal a lot about the physical conditions of an individual. The BT-Heartomotive device is simple, easy to use and automated.

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