Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
1. 1.0 70
/,
08· 56
/420..6 [;J ! 'r:f.f{- ./ }
/ I
04 28
/' I<",,"'
~#'V,-/t7
14
"...",
0.2 ,,>P' ~ '"
(I
""0.0
4.6 9.2 13.8 18.4 23.00.0 9.2
W
13.8 1804 23,0 0.0 V
PIO·IO (a)
Iso,ocrene +. Hydrogcn --? isCH)Ctanc
A -t. B
Discrirninarion of mcdds:
Assume 'fA ;: k C1 q q:
For runs 2 and J, 0 < a: < 1 ; 2 and 4, 0 < f) < 1 ; and 2 and 5 , ·1 < r < O. From
Perry's handbook, 5th cd". p. 4-8; the reaction is probably surface reaction rate con'Q'"olling.
Mechanism I (H. Alvord):
A+S+!A.S
B2+2S ~ 2B·S
A·S,2B·S;:! C·S+2S
C·S ;:! C+S
Hence.
Hence,
k fp;.. PB - PcfKuJ-rA, "'" _._.,..•,..._.'--,•..,_.,-""-,...._-,._..
[1 +'KAP;..+KfPft+ KcPcP
Mechanism II (S. L Mullick):
A+S +! A.S
B+S ~ B.S
A·S+B·S f:!: C·S+S
C·S ~ C+,S
, _ k[PA Ps - Pc/l<.,qJ"1;.. - ...."._..._,...•"...•_...,••.•.- ." •.._ ......_ ••..., ..,....•.
[1 ,. K... FA t· KB Ps -+- Kc PcP
10·22
2. From runs 2. 9 11. 12. P A:::: PB =Pc "" P. a plot of ~rA vs. P shows a parabollic
behavior. therefore we Mil drop the second term in the denominator for easy linearization.
Tne readers can calculate ~ value by Gibbs free energy change 4'1 this equation (up to 650
K. the reverse reaction is negligible)
Tne linearized regression model is:
Using given 12 data pointS to solve for these four unknowns:
y :::: 3.0 -+ 1.42 PA .;. 0.97 Pa -t. 1.42 Pc
The tinal results are:
0..1113 PA Fg-fA:: ...- ....".._._-,,--,,-,,_.- _ ..............._ ...._"
(1 + 0.475 PAt 0322 PB .;. 0..414 Pcr
The comparison of the pen:emage error between the model and the experimental data are:
r
(~A.!:lit .5
r
Run PA Pa Pc (exp.) (calc.) % elmrexpo
1 1 0 0..0362 :'5.26 0.0345 -4.8
2 1 1 1 0..0.239 647 0.0227 -4.7
3 1 :3 1 0..0390 8.77 0..0410 +5.0
4 3 1 1 o...Q351 9.25 0.0334 A.a
5 1 1 3 O.D114 9.37 0.0120 +5..7
6 I 10 0 0.0534 13,,69 0..0.505 -5.4
7 10 1 0 0..0310 17.96 0.0302 -2.6
8 1 1 10. 0.0033 lo.Al 0.00315 -4.5
9 2- 2 2 0..0380 10.26 0.0380 0
10. 0.2 0.2 0.2 0.0032 3.54 0.00288 ·9.8
11 0.1 0.1 0.1 0..0008 3.54 0.00089 +10.7
12 5 5 5 0.0566 21.02 0.0599 ....:.1:2 _
Isuml =59.2
avg. =4.9
PIO-IO (b)
Discussion: The readers may check the validity ofmechanism L To reduce the
accumulation of error in calculations, the readers should have used ail data points and
solved all unblowns simultaneously. To get the maximum informacion of complex kinetics
of a reaction from the least runs, it is advantageous to do planned experiments such as
factOrial design.. (W. G.. Humer. and A. C. Atkinson. Olem1cai Engin~~rin!!, p.. 159. June
6. 1966).
A paper discussing chemical reaction rare equations from experimental data is in:
C. n. Vare 11., Summer Compmer Simulation Conference. Proceedings. 1975, Pa.."t 1. p..
368.
10-23
3. PIO-IO (c)
0.2223 C~o (RTr {l-Xr / (l-O.SXY··rA =.-....- - -..--.--.--.-.--................--.-~.-.--'J-
r1 + CAOO ~T {(0.475 + 0..322 (I-X)} + OA14x}1-
l 1- .)x .
0..1 113 (RT CAot (l·.xF I {l-O.5Xr
-r! = ----.~------..--.--.------..
. r1 + c.:..o RT fO 797 • 0383 x'j2.. 1-0.SX . , . ' !
FAO::: 2.5 =:::i50 I~l
CSTR:
w;;;;;; 21.380 g ::::: 21.4 kg
x
w::; 1501
o 2:1l13J1.5J:i!·X(LL0.5 x)Z
~ 1 ..,..
11+' _...........,..2............ {O.797- 0..383 X)I~
l. 1 - 0...5 X 'j
10-24
4. w=...- ....J~Q 1x
G (X}dX
0.1113 x 2.25 0
where
[
. 1..5 (0..797'- 0..383 Xl]2
1 + -.-----------. (1 - 0.5 xjZ
G(X):= ...-.. L.:Q~.X___..__.._._....._..........._.....
(1- xf
x G{X)
0. 4.82 ~l
0..1 5.38 ~t
0.2 6.13
:10..3 7.16 COO
OA 8.66
05 11.00
0.6 IS.03 0
I) a.l 0':'
0.7 23.15
0..8 44..62
Using Simpson s rule.
area. under the curve ~ i 0
w:;: ..._____.J2!1_____.__ x. 10:;: 6000 g "" 6 kg
0.1113 x. 2.25
PIO-IO (d)
Consider the differential section between L and L +dL
In - Out + Generation"" Accumulation
r)C4 ,L)Ar Pc-H······ t/J)dL == -.dl{"1·Arv{L)CJL)]
But: A1
v(L)C4 (L):= N)L).:::: f~ll(I ... X)
:. FAD f·::TA pdl .. $) rA {Pd
Relating the expression fA to X and L :
;; lFo (l·X)
2
:;: }Fo (l-X)
Fc=FAOX == tFox
PA == PA ... 1:.:X.Pr Pc=-X-Pr
2·X 2-X
LetP=Pr,
1
R =-(2······ X), 2
FIXP __...:1.. _ ..........._•.
l-Pr
-2·..·X
10-25
c..J 0.4 as cu. 0:: lUI
"