A Tale of Two...Vending Machines?

2009 ◽  
Author(s):  
John Weaver
Keyword(s):  
Vending Machines

scholarly journals Correspondence Learning for Deep Multi-Modal Recognition and Fraud Detection

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 800
Author(s):  
Jongchan Park ◽  
Min-Hyun Kim ◽  
Dong-Geol Choi
Keyword(s):  
Deep Learning ◽  
Simple Technique ◽  
Detection Method ◽  
Fraud Detection ◽  
Complementary Information ◽  
Multiple Modalities ◽  
Vending Machines ◽  
Emotion Intensity ◽  
The Relationship ◽  
Extract Information

Deep learning-based methods have achieved good performance in various recognition benchmarks mostly by utilizing single modalities. As different modalities contain complementary information to each other, multi-modal based methods are proposed to implicitly utilize them. In this paper, we propose a simple technique, called correspondence learning (CL), which explicitly learns the relationship among multiple modalities. The multiple modalities in the data samples are randomly mixed among different samples. If the modalities are from the same sample (not mixed), then they have positive correspondence, and vice versa. CL is an auxiliary task for the model to predict the correspondence among modalities. The model is expected to extract information from each modality to check correspondence and achieve better representations in multi-modal recognition tasks. In this work, we first validate the proposed method in various multi-modal benchmarks including CMU Multimodal Opinion-Level Sentiment Intensity (CMU-MOSI) and CMU Multimodal Opinion Sentiment and Emotion Intensity (CMU-MOSEI) sentiment analysis datasets. In addition, we propose a fraud detection method using the learned correspondence among modalities. To validate this additional usage, we collect a multi-modal dataset for fraud detection using real-world samples for reverse vending machines.

Anti-Raider ATM System Using Mobilenetv2

2022 ◽  
Vol 9 (1) ◽  
pp. 0-0
Keyword(s):  
Computer Vision ◽  
Research Work ◽  
Computation Time ◽  
Vending Machines ◽  
Google Drive ◽  
Crime Counts

Cash vending machines are ubiquitous and although their technology vouches for its security, they are erratically stormed by the raiders. Albeit the escalating crime counts, the raiders are fleeing from the justice by virtue of evidence lacking. This research work proposes a computer vision based Anti-Raider ATM system. The proposed approach models the image, acquired from the CCTVs against the raider images based on the computer vision and deduces the fact from the MobileNetv2 architecture. Once the model identifies the raider, the image is uploaded to the Google Drive, which serves as evidence for the judicial department. The proposed research is modeled against several optimizers and the result concludes that, among them Adam optimizer has excelled in both computation time and accuracy.

scholarly journals The school environment and sugar-sweetened beverage consumption among Guatemalan adolescents

2017 ◽  
Vol 20 (16) ◽  
pp. 2980-2987 ◽  
Author(s):  
Katelyn M Godin ◽  
Violeta Chacón ◽  
Joaquin Barnoya ◽  
Scott T Leatherdale
Keyword(s):  
Public Schools ◽  
Built Environment ◽  
School Environment ◽  
School Type ◽  
School Food ◽  
Sugar Sweetened Beverage ◽  
Individual Level ◽  
Vending Machines ◽  
Sweetened Beverages ◽  
Behavioural Characteristics

AbstractObjectiveThe current study sought to examine Guatemalan adolescents’ consumption of sugar-sweetened beverages (SSB), identify which individual-level characteristics are associated with SSB consumption and describe school characteristics that may influence students’ SSB consumption.DesignWithin this observational pilot study, a questionnaire was used to assess students’ consumption of three varieties of SSB (soft drinks, energy drinks, sweetened coffees/teas), as well as a variety of sociodemographic and behavioural characteristics. We collected built environment data to examine aspects of the school food environment. We developed Poisson regression models for each SSB variety and used descriptive analyses to characterize the sample.SettingGuatemala City, Guatemala.SubjectsGuatemalan adolescents (n1042) from four (two public, two private) secondary schools.ResultsBuilt environment data revealed that students from the two public schools lacked access to water fountains/coolers. The SSB industry had a presence in the schools through advertisements, sponsored food kiosks and products available for sale. Common correlates of SSB consumption included school type, sedentary behaviour, frequency of purchasing lunch in the cafeteria, and frequency of purchasing snacks from vending machines in school and off school property.ConclusionsGuatemalan adolescents frequently consume SSB, which may be encouraged by aspects of the school environment. Schools represent a viable setting for equitable population health interventions designed to reduce SSB consumption, including increasing access to clean drinking-water, reducing access to SSB, restricting SSB marketing and greater enforcement of existing food policies.

Youth Speak Out on School Food Environments

2018 ◽  
Vol 36 (3) ◽  
pp. 193-202
Author(s):  
Kelsey Gangemi ◽  
Roxanne Dupuis ◽  
Elizabeth FitzGerald ◽  
Rosemary Frasso ◽  
Sara Solomon ◽  
...  
Keyword(s):  
Food Environment ◽  
Food Choice ◽  
Eating Behaviors ◽  
School Personnel ◽  
School Nurses ◽  
Photo Elicitation ◽  
Food Environments ◽  
School Food ◽  
Vending Machines ◽  
Student Input

In Philadelphia, over 40% of youth are overweight or obese. The objective in this assessment was to learn about urban residents’ perspectives regarding the local food environment and its impact on eating behaviors. Using photo-elicitation, 20 adolescents reflected on their food environments through photographs and corresponding interviews. Without specific prompting from interviewers, every participant raised concerns about their school food environments, which they commonly found to be unhealthy and unappealing. Participants’ responses reflected four themes: (1) mixed reviews regarding the healthfulness of school vending machines, (2) lunch from home versus lunch from school, (3) factors that influenced food choice at school, and (4) critiques of school food environments. Students embraced the photo-elicitation approach as a way to convey their concerns and to suggest opportunities for improvements. School nurses, who are trusted by students and school personnel, are well-positioned to solicit student input and advocate for healthier school food environments.

scholarly journals Study of acrylamide level in food from vending machines

2016 ◽  
Vol 5 (4) ◽  
Author(s):  
Naceur Haouet ◽  
Simona Pistolese ◽  
Raffaella Branciari ◽  
David Ranucci ◽  
Maria Serena Altissimi
Keyword(s):  
Human Exposure ◽  
High Performance ◽  
High Variability ◽  
Potato Chips ◽  
The Other ◽  
Bakery Products ◽  
Vending Machines ◽  
Public Areas ◽  
Protein Rich ◽  
The City

Acrylamide is a byproduct of the Maillard reaction and is potentially carcinogenic to humans. It is found in a number of foods with higher concentrations in carbohydrate-rich foods and moderate levels of protein-rich foods such as meat, fish and seafood. Acrylamide levels in food distributed in vending machines placed in public areas of the city of Perugia were analyzed by high-performance liquid chromatography. Samples included five different categories, depending on the characteristics of the products: 1) potato chips; 2) salted bakery products; 3) biscuits and wafers; 4) sweet bakery products; 5) sandwiches. A high variability in acrylamide level among different foods and within the same category was detected. Potato chips showed the highest amount of acrylamide (1781±637 μg/kg) followed by salted bakery products (211±245 μg/kg), biscuits and wafers (184±254 μg/kg), sweet bakery products (100±72 μg/kg) and sandwiches (42±10 μg/kg). In the potato chips and sandwiches categories, all of the samples revealed the presence of acrylamide while different prevalence was registered in the other foods considered. The data of this study highlight the presence of acrylamide in different foods sold in vending machines and this data could be useful to understand the contribution of this type of consumption to human exposure to this compound.

scholarly journals Electronic vending machines for dispensing rapid HIV self-testing kits: A case study

AIDS Care ◽  
2013 ◽  
Vol 26 (2) ◽  
pp. 267-269 ◽  
Author(s):  
Sean D. Young ◽  
Jeffrey Klausner ◽  
Risa Fynn ◽  
Robert Bolan
Keyword(s):  
Vending Machines ◽  
Self Testing
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