scholarly journals Managing food security through food waste and loss: Small data to big data

2018 ◽  
Vol 98 ◽  
pp. 367-383 ◽  
Author(s):  
Zahir Irani ◽  
Amir M. Sharif ◽  
Habin Lee ◽  
Emel Aktas ◽  
Zeynep Topaloğlu ◽  
...  
Keyword(s):  
Big Data ◽  
Food Security ◽  
Food Waste ◽  
Small Data

scholarly journals Big Data Versus Small Data: The Case of ‘Gripe’ (Flu) in Spanish

2015 ◽  
Vol 198 ◽  
pp. 339-343 ◽  
Author(s):  
Antonio Moreno-Sandoval ◽  
Esteban Moro
Keyword(s):  
Big Data ◽  
Small Data

scholarly journals Big Data in Science and Healthcare: A Review of Recent Literature and Perspectives

2014 ◽  
Vol 23 (01) ◽  
pp. 21-26 ◽  
Author(s):  
T. Miron-Shatz ◽  
A. Y. S. Lau ◽  
C. Paton ◽  
M. M. Hansen
Keyword(s):  
Health Care ◽  
Big Data ◽  
Health Care Providers ◽  
Data Privacy ◽  
Recent Literature ◽  
Unstructured Data ◽  
Small Scale ◽  
Small Data ◽  
Quantified Self ◽  
Care Providers

Summary Objectives: As technology continues to evolve and rise in various industries, such as healthcare, science, education, and gaming, a sophisticated concept known as Big Data is surfacing. The concept of analytics aims to understand data. We set out to portray and discuss perspectives of the evolving use of Big Data in science and healthcare and, to examine some of the opportunities and challenges. Methods: A literature review was conducted to highlight the implications associated with the use of Big Data in scientific research and healthcare innovations, both on a large and small scale. Results: Scientists and health-care providers may learn from one another when it comes to understanding the value of Big Data and analytics. Small data, derived by patients and consumers, also requires analytics to become actionable. Connectivism provides a framework for the use of Big Data and analytics in the areas of science and healthcare. This theory assists individuals to recognize and synthesize how human connections are driving the increase in data. Despite the volume and velocity of Big Data, it is truly about technology connecting humans and assisting them to construct knowledge in new ways. Concluding Thoughts: The concept of Big Data and associated analytics are to be taken seriously when approaching the use of vast volumes of both structured and unstructured data in science and health-care. Future exploration of issues surrounding data privacy, confidentiality, and education are needed. A greater focus on data from social media, the quantified self-movement, and the application of analytics to “small data” would also be useful.

scholarly journals Abnormal Detection to Big Data Using Deep Neural Networks

2021 ◽  
Vol 2068 (1) ◽  
pp. 012025
Author(s):  
Jian Zheng ◽  
Zhaoni Li ◽  
Jiang Li ◽  
Hongling Liu
Keyword(s):  
Neural Network ◽  
Big Data ◽  
Risk Model ◽  
Small Sample ◽  
Small Samples ◽  
Small Data ◽  
Data Segmentation ◽  
Sample Data ◽  
Segmentation Algorithms ◽  
The Common

Abstract It is difficult to detect the anomalies in big data using traditional methods due to big data has the characteristics of mass and disorder. For the common methods, they divide big data into several small samples, then analyze these divided small samples. However, this manner increases the complexity of segmentation algorithms, moreover, it is difficult to control the risk of data segmentation. To address this, here proposes a neural network approch based on Vapnik risk model. Firstly, the sample data is randomly divided into small data blocks. Then, a neural network learns these divided small sample data blocks. To reduce the risks in the process of data segmentation, the Vapnik risk model is used to supervise data segmentation. Finally, the proposed method is verify on the historical electricity price data of Mountain View, California. The results show that our method is effectiveness.

China will push for greater self-reliance in food

2022 ◽  
Keyword(s):  
Food Security ◽  
Natural Disasters ◽  
Food Waste ◽  
Animal Feed ◽  
Labour Force ◽  
Arable Land ◽  
Xi Jinping ◽  
Content Type ◽  
Environmental Threats ◽  
Self Reliance

Significance President Xi Jinping last year called for "a sense of crisis about food security”. Behind such statements lies an awareness of environmental threats and natural disasters, a shrinking and ageing farm labour force, shortages of water and arable land, and food waste on an enormous scale. Impacts China cannot avoid dependence on imports of animal feed as its population's demand for meat rises further. Beijing will make greater efforts to diversify foreign sources of feed imports. China is immutably locked into overseas dependence for soybeans, and potentially maize and barley, too.

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