scholarly journals Contactless Payment & SMS based Coffee Machine

2020 ◽  
Vol 8 (9) ◽  
pp. 549-556
Author(s):  
Rohit S. Patil
Keyword(s):  
Coffee Machine

scholarly journals Two deaths due to explosion of cylinders of liquid petroleum gas

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nagendra Singh Sonwani ◽  
Navneet Ateriya ◽  
Arvind Kumar ◽  
Anil Kohli
Keyword(s):  
Blast Injuries ◽  
Air Conditioner ◽  
Liquefied Petroleum Gas ◽  
Case Presentation ◽  
Gas Cylinder ◽  
Liquid Petroleum Gas ◽  
Life Threatening ◽  
System Life ◽  
High Pressure Equipment ◽  
Coffee Machine

Abstract Background Cylinder blasts can inflict multi-system life-threatening injuries to one or many persons simultaneously if they are nearby. The explosion in high-pressure equipment produces injuries due to its varied effects. Cases have been reported where the blast occurred in balloon gas cylinder, oxyacetylene gas cylinder, oxygen cylinder, coffee machine, and compressor of a split air conditioner (AC). Most of the cases are accidental. The investigation into the blast circumstances is of utmost importance to find out the manner and device involved. Case presentation Here, we present a report of two cases where victims suffered blast injuries at the same location due to the explosion of two different capacity liquefied petroleum gas (LPG) domestic cylinder and died on the spot. Conclusion The investigation into the blast circumstances is of utmost importance to find out the manner and device involved. Malpractice involving use of cylinder to fill another one might be dangerous for the person involved and present in the vicinity. This practice should be discouraged by lay person.

scholarly journals Reducing Energy Waste through Eco-Aware Everyday Things

2014 ◽  
Vol 10 (1) ◽  
pp. 79-103 ◽  
Author(s):  
Juan López-de-Armentia ◽  
Diego Casado-Mansilla ◽  
Sergio López-Pérez ◽  
Diego López-de-Ipiña
Keyword(s):  
Machine Learning ◽  
Research Laboratory ◽  
Operating Mode ◽  
Public Spaces ◽  
Learning Approaches ◽  
Usage Pattern ◽  
Electrical Devices ◽  
Wasted Energy ◽  
Reducing Energy ◽  
Coffee Machine

Society wastes much more energy than it should. This produces tons of unnecessary CO2emissions. This is partly due to the inadequate use of electrical devices given the intangible and invisible nature of energy. This misuse of devices and energy unawareness is particularly relevant in public spaces (offices, schools, hospitals and so on), where people use electrical appliances, but they do not directly pay the invoice to energy providers. Embedding intelligence within public, shared appliances, transforming them into Eco-aware things, is valuable to reduce a proportion of the unnecessarily consumed energy. To this end, we present a twofold approach for better energy efficiency in public spaces: (1) informing persuasively to concerned users about the misuse of electronic appliances; (2) Customizing the operating mode of this everyday electrical appliances as a function of their real usage pattern. To back this approach, a capsule-based coffee machine placed in a research laboratory has been augmented. This device is able to continuously collect its usage pattern to offer feedback to coffee consumers about the energy wasting and also, to intelligently adapt its operation to reduce wasted energy. To this aim, several machine learning approaches are compared and evaluated to forecast the next-day device usage.

scholarly journals Cold Brew Coffee: Consumer Acceptability and Characterization Using the Check-All-That-Apply (CATA) Method

Foods ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 344 ◽  
Author(s):  
JeongAe Heo ◽  
Kap Seong Choi ◽  
Shangci Wang ◽  
Koushik Adhikari ◽  
Jeehyun Lee
Keyword(s):  
Chlorogenic Acid ◽  
Volatile Compounds ◽  
Correspondence Analysis ◽  
Sensory Attributes ◽  
Consumer Acceptability ◽  
Coffee Shop ◽  
Sensory Data ◽  
The Relationship ◽  
Coffee Machine ◽  
Sensory Liking

The aim of this study was to investigate consumers’ acceptability and perceived sensory attributes of cold brew coffee, which is increasing in popularity. A total of 120 consumers evaluated liking of 13 cold brew coffee samples and checked sensory attributes they perceived using the check-all-that-apply (CATA) method. Correspondence analysis identified characteristics of each cold brew sample and brewing methods, namely cold brew, coffee machine brewed but served cold, ready-to-drink, and purchased from a coffee shop. In addition, a reduced number of terms were reviewed for common-to-all cold brew samples (17 terms) and specific to each sample (48 terms), which also discriminated among samples. Furthermore, data on consumers’ liking were not influenced by caffeine contents and most of the volatile compounds, but chlorogenic acid and trigonelline contents were negatively related with sensory data. This study specifies the characteristics of cold brew coffee using the CATA method, shows consumers’ segmentation using acceptability, and investigates the relationship between sensory liking data and non-volatile, volatile compounds of coffee.

scholarly journals Correlating Espresso Quality with Coffee-Machine Parameters by Means of Association Rule Mining

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 100
Author(s):  
Daniele Apiletti ◽  
Eliana Pastor
Keyword(s):  
Real World ◽  
Association Rule ◽  
Association Rule Mining ◽  
Data Driven ◽  
Rule Mining ◽  
Electronic Noses ◽  
Data Driven Approach ◽  
The Many ◽  
Coffee Machine

Coffee is among the most popular beverages in many cities all over the world, being both at the core of the busiest shops and a long-standing tradition of recreational and social value for many people. Among the many coffee variants, espresso attracts the interest of different stakeholders: from citizens consuming espresso around the city, to local business activities, coffee-machine vendors and international coffee industries. The quality of espresso is one of the most discussed and investigated issues. So far, it has been addressed by means of human experts, electronic noses, and chemical approaches. The current work, instead, proposes a data-driven approach exploiting association rule mining. We analyze a real-world dataset of espresso brewing by professional coffee-making machines, and extract all correlations among external quality-influencing variables and actual metrics determining the quality of the espresso. Thanks to the application of association rule mining, a powerful data-driven exhaustive and explainable approach, results are expressed in the form of human-readable rules combining the variables of interest, such as the grinder settings, the extraction time, and the dose amount. Novel insights from real-world coffee extractions collected on the field are presented, together with a data-driven approach, able to uncover insights into the espresso quality and its impact on both the life of consumers and the choices of coffee-making industries.

Dual Heating Method of Direct Inject Water for Drip-Coffee Machine

2019 ◽  
Vol 17 (11) ◽  
pp. 37-42
Author(s):  
Chi-Young Jung ◽  
Seung-Mok Lee ◽  
Young-Hyung Kim
Keyword(s):  
Heating Method ◽  
Direct Inject ◽  
Coffee Machine

scholarly journals Design and Developmentof Mini Tea and Coffee Machine

2016 ◽  
Vol V5 (03) ◽  
Author(s):  
Aditya Parulekar ◽  
Akshay Shinde ◽  
Swaroop Rath, Priyank Shriyan ◽  
Tushar Raut, A. V. Bhonsale ◽  
Keyword(s):  
Coffee Machine

scholarly journals Importance of Espresso Coffee Machine Parameters on the Extraction of Chlorogenic Acids in a Certified Italian Espresso by Using SPE-HPLC-DAD

2013 ◽  
Vol 2 (3) ◽  
pp. 55 ◽  
Author(s):  
Giovanni Caprioli ◽  
Manuela Cortese ◽  
Luigi Odello ◽  
Massimo Ricciutelli ◽  
Gianni Sagratini ◽  
...  
Keyword(s):  
High Performance ◽  
Array Detector ◽  
Diode Array ◽  
Chlorogenic Acids ◽  
Diode Array Detector ◽  
Caffeoylquinic Acid ◽  
Espresso Coffee ◽  
Phenolic Acid Derivatives ◽  
Coffee Machine

<p>Chlorogenic acids (CGA) are a group of phenolic acid derivatives, which are commonly found in coffee at concentrations reaching 0.1-0.2%. A method based on high performance liquid chromatography-diode array detector (HPLC-DAD) is proposed for the simultaneous determination of three chlorogenic acids, i.e. 3-<em>O</em>-caffeoylquinic acid (3-CQA), 5-<em>O</em>-caffeoylquinic acid (5-CQA) and 3,5-di-O-caffeoylquinic acid (3,5-diCQA), in time portions of espresso coffee. Two different espresso coffee machines working with different pressure and temperature curves, and two different blends (i.e. Arabica and Robusta) were used. The method presents good linearities (correlation coefficient greater than 0.99) and recoveries (in the range 67-99%) for the 3 chlorogenic acids. The concentration of total CGAs in a cup of Certified Italian Espresso ranged from 1522.5 to 2223.4 mg kg<sup>-1</sup> and CGA isomer contents were, in decreasing order, 5-CQA &gt; 3-CQA &gt; 3,5-diCQA.</p> <p>The concentration of total chlorogenic acids was higher in Espresso coffee (EC) prepared with Aurelia machine rather than with Leva; Arabica blend possessed higher level ot total chlorogenic acids than Robusta samples. <strong></strong></p>

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