An overview of embedded systems in automobiles(With instructional videos)Louise Antonio
This presentation on the applications of embedded systems in automobiles focusses on the two most prevalent and sought about technologies- ABS and ACC with collison avoidance, the biggest motivation being that these technologies save lives.
Securing Electric Utility InfrastructureDragos, Inc.
A Case Study on Asset Baselining, Threat Detection, and Response - presented by Tim Watkins, Schweitzer Engineering Laboratories, and Matt Cowell, Dragos.
The webinar – now available on-demand at https://selinc.com/events/on-demand-webinar/126340/ – provides insights on baselining your operation, building cyber defense, and streamlining ongoing management. SEL and Dragos also shared a case study based on a recent joint effort to address key cybersecurity challenges at a mid-sized US electric utility.
Learn more about Dragos at https://dragos.com or follow us at https://twitter.com/dragosinc
Learn more about SEL cybersecurity at https://selinc.com/solutions/security-for-critical-infrastructure/ or follow us at https://twitter.com/SEL_news
CAN vs CAN FD with its higher piece rate (upto 5 Mbps) and bigger payload limit (64 Bytes) is a commendable successor to established CAN. Know other striking contrasts and advantages of CAN FD and its association with Bootloader.
https://www.embitel.com/blog/embedded-blog/classical-can-vs-can-fd-decoding-their-data-transfer-capabilities-and-compatibility-with-the-bootloader-software
UDS Vehicle Diagnostics: This blog encourages you comprehend the AUTOSAR software standard consistence for car applications. Here we share with you the points of interest of the usage of UDS based Vehicle Diagnostics in AUTOSAR Base Software module.
An overview of embedded systems in automobiles(With instructional videos)Louise Antonio
This presentation on the applications of embedded systems in automobiles focusses on the two most prevalent and sought about technologies- ABS and ACC with collison avoidance, the biggest motivation being that these technologies save lives.
Securing Electric Utility InfrastructureDragos, Inc.
A Case Study on Asset Baselining, Threat Detection, and Response - presented by Tim Watkins, Schweitzer Engineering Laboratories, and Matt Cowell, Dragos.
The webinar – now available on-demand at https://selinc.com/events/on-demand-webinar/126340/ – provides insights on baselining your operation, building cyber defense, and streamlining ongoing management. SEL and Dragos also shared a case study based on a recent joint effort to address key cybersecurity challenges at a mid-sized US electric utility.
Learn more about Dragos at https://dragos.com or follow us at https://twitter.com/dragosinc
Learn more about SEL cybersecurity at https://selinc.com/solutions/security-for-critical-infrastructure/ or follow us at https://twitter.com/SEL_news
CAN vs CAN FD with its higher piece rate (upto 5 Mbps) and bigger payload limit (64 Bytes) is a commendable successor to established CAN. Know other striking contrasts and advantages of CAN FD and its association with Bootloader.
https://www.embitel.com/blog/embedded-blog/classical-can-vs-can-fd-decoding-their-data-transfer-capabilities-and-compatibility-with-the-bootloader-software
UDS Vehicle Diagnostics: This blog encourages you comprehend the AUTOSAR software standard consistence for car applications. Here we share with you the points of interest of the usage of UDS based Vehicle Diagnostics in AUTOSAR Base Software module.
Original Mosfet 047N08 FDP047N08 47N08 75V TO-220 New FairchildAUTHELECTRONIC
Original Mosfet 047N08 FDP047N08 47N08 75V TO-220 New Fairchild
https://authelectronic.com/original-mosfet-047n08-fdp047n08-47n08-75v-to-220-new-fairchild
Original N Channel Mosfet FQPF12N60 12N60 12A 600V New FairchildAUTHELECTRONIC
Original N Channel Mosfet FQPF12N60 12N60 12A 600V New Fairchild
https://authelectronic.com/original-n-channel-mosfet-fqpf12n60-12n60-12a-600v-new-fairchild
Original Power MOSFET IRFP460PBF IRFP460 460 500V 20A TO-247 New Vishay Silic...AUTHELECTRONIC
Original Power MOSFET IRFP460PBF IRFP460 460 500V 20A TO-247 New Vishay Siliconix
https://authelectronic.com/original-power-mosfet-irfp460pbf-irfp460-460-500v-20a-to-247-new-vishay-siliconix
Original Mosfet 047N08 FDP047N08 47N08 75V TO-220 New FairchildAUTHELECTRONIC
Original Mosfet 047N08 FDP047N08 47N08 75V TO-220 New Fairchild
https://authelectronic.com/original-mosfet-047n08-fdp047n08-47n08-75v-to-220-new-fairchild
Original N Channel Mosfet FQPF12N60 12N60 12A 600V New FairchildAUTHELECTRONIC
Original N Channel Mosfet FQPF12N60 12N60 12A 600V New Fairchild
https://authelectronic.com/original-n-channel-mosfet-fqpf12n60-12n60-12a-600v-new-fairchild
Original Power MOSFET IRFP460PBF IRFP460 460 500V 20A TO-247 New Vishay Silic...AUTHELECTRONIC
Original Power MOSFET IRFP460PBF IRFP460 460 500V 20A TO-247 New Vishay Siliconix
https://authelectronic.com/original-power-mosfet-irfp460pbf-irfp460-460-500v-20a-to-247-new-vishay-siliconix
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
An Approach to Detecting Writing Styles Based on Clustering Techniquesambekarshweta25
An Approach to Detecting Writing Styles Based on Clustering Techniques
Authors:
-Devkinandan Jagtap
-Shweta Ambekar
-Harshit Singh
-Nakul Sharma (Assistant Professor)
Institution:
VIIT Pune, India
Abstract:
This paper proposes a system to differentiate between human-generated and AI-generated texts using stylometric analysis. The system analyzes text files and classifies writing styles by employing various clustering algorithms, such as k-means, k-means++, hierarchical, and DBSCAN. The effectiveness of these algorithms is measured using silhouette scores. The system successfully identifies distinct writing styles within documents, demonstrating its potential for plagiarism detection.
Introduction:
Stylometry, the study of linguistic and structural features in texts, is used for tasks like plagiarism detection, genre separation, and author verification. This paper leverages stylometric analysis to identify different writing styles and improve plagiarism detection methods.
Methodology:
The system includes data collection, preprocessing, feature extraction, dimensional reduction, machine learning models for clustering, and performance comparison using silhouette scores. Feature extraction focuses on lexical features, vocabulary richness, and readability scores. The study uses a small dataset of texts from various authors and employs algorithms like k-means, k-means++, hierarchical clustering, and DBSCAN for clustering.
Results:
Experiments show that the system effectively identifies writing styles, with silhouette scores indicating reasonable to strong clustering when k=2. As the number of clusters increases, the silhouette scores decrease, indicating a drop in accuracy. K-means and k-means++ perform similarly, while hierarchical clustering is less optimized.
Conclusion and Future Work:
The system works well for distinguishing writing styles with two clusters but becomes less accurate as the number of clusters increases. Future research could focus on adding more parameters and optimizing the methodology to improve accuracy with higher cluster values. This system can enhance existing plagiarism detection tools, especially in academic settings.
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.
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.
Online aptitude test management system project report.pdfKamal Acharya
The purpose of on-line aptitude test system is to take online test in an efficient manner and no time wasting for checking the paper. The main objective of on-line aptitude test system is to efficiently evaluate the candidate thoroughly through a fully automated system that not only saves lot of time but also gives fast results. For students they give papers according to their convenience and time and there is no need of using extra thing like paper, pen etc. This can be used in educational institutions as well as in corporate world. Can be used anywhere any time as it is a web based application (user Location doesn’t matter). No restriction that examiner has to be present when the candidate takes the test.
Every time when lecturers/professors need to conduct examinations they have to sit down think about the questions and then create a whole new set of questions for each and every exam. In some cases the professor may want to give an open book online exam that is the student can take the exam any time anywhere, but the student might have to answer the questions in a limited time period. The professor may want to change the sequence of questions for every student. The problem that a student has is whenever a date for the exam is declared the student has to take it and there is no way he can take it at some other time. This project will create an interface for the examiner to create and store questions in a repository. It will also create an interface for the student to take examinations at his convenience and the questions and/or exams may be timed. Thereby creating an application which can be used by examiners and examinee’s simultaneously.
Examination System is very useful for Teachers/Professors. As in the teaching profession, you are responsible for writing question papers. In the conventional method, you write the question paper on paper, keep question papers separate from answers and all this information you have to keep in a locker to avoid unauthorized access. Using the Examination System you can create a question paper and everything will be written to a single exam file in encrypted format. You can set the General and Administrator password to avoid unauthorized access to your question paper. Every time you start the examination, the program shuffles all the questions and selects them randomly from the database, which reduces the chances of memorizing the questions.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
2. 2 www.fairchildsemi.com
FCD7N60/FCU7N60600VN-ChannelMOSFET
FCD7N60/FCU7N60 Rev. A0
Package Marking and Ordering Information
Device Marking Device Package Reel Size Tape Width Quantity
FCD7N60 FCD7N60TM D-PAK 380mm 16mm 2500
FCD7N60 FCD7N60TF D-PAK 380mm 16mm 2000
FCU7N60 FCU7N60 I-PAK - - 70
Electrical Characteristics TC = 25°C unless otherwise noted
Symbol Parameter Conditions Min Typ Max Units
Off Characteristics
BVDSS Drain-Source Breakdown Voltage VGS = 0V, ID = 250µA, TJ = 25°C 600 -- -- V
VGS = 0V, ID = 250µA, TJ = 150°C -- 650 -- V
∆BVDSS
/ ∆TJ
Breakdown Voltage Temperature
Coefficient
ID = 250µA, Referenced to 25°C -- 0.6 -- V/°C
BVDS Drain-Source Avalanche Breakdown
Voltage
VGS = 0V, ID = 7A
-- 700 -- V
IDSS Zero Gate Voltage Drain Current VDS = 600V, VGS = 0V
VDS = 480V, TC = 125°C
--
--
--
--
1
10
µA
µA
IGSSF Gate-Body Leakage Current, Forward VGS = 30V, VDS = 0V -- -- 100 nA
IGSSR Gate-Body Leakage Current, Reverse VGS = -30V, VDS = 0V -- -- -100 nA
On Characteristics
VGS(th) Gate Threshold Voltage VDS = VGS, ID = 250µA 3.0 -- 5.0 V
RDS(on) Static Drain-Source
On-Resistance
VGS = 10V, ID = 3.5A -- 0.53 0.6 Ω
gFS Forward Transconductance VDS = 40V, ID = 3.5A (Note 4) -- 6 -- S
Dynamic Characteristics
Ciss Input Capacitance VDS = 25V, VGS = 0V,
f = 1.0MHz
-- 710 920 pF
Coss Output Capacitance -- 380 500 pF
Crss Reverse Transfer Capacitance -- 34 -- pF
Coss Output Capacitance VDS = 480V, VGS = 0V, f = 1.0MHz -- 22 29 pF
Coss eff. Effective Output Capacitance VDS = 0V to 400V, VGS = 0V -- 60 -- pF
Switching Characteristics
td(on) Turn-On Delay Time VDD = 300V, ID = 7A
RG = 25Ω
(Note 4, 5)
-- 35 80 ns
tr Turn-On Rise Time -- 55 120 ns
td(off) Turn-Off Delay Time -- 75 160 ns
tf Turn-Off Fall Time -- 32 75 ns
Qg Total Gate Charge VDS = 480V, ID = 7A
VGS = 10V
(Note 4, 5)
-- 23 30 nC
Qgs Gate-Source Charge -- 4.2 5.5 nC
Qgd Gate-Drain Charge -- 11.5 -- nC
Drain-Source Diode Characteristics and Maximum Ratings
IS Maximum Continuous Drain-Source Diode Forward Current -- -- 7 A
ISM Maximum Pulsed Drain-Source Diode Forward Current -- -- 21 A
VSD Drain-Source Diode Forward Voltage VGS = 0V, IS = 7A -- -- 1.4 V
trr Reverse Recovery Time VGS = 0V, IS = 7A
dIF/dt =100A/µs (Note 4)
-- 360 -- ns
Qrr Reverse Recovery Charge -- 4.5 -- µC
NOTES:
1. Repetitive Rating: Pulse width limited by maximum junction temperature
2. IAS = 3.5A, VDD = 50V, RG = 25Ω, Starting TJ = 25°C
3. ISD ≤ 7A, di/dt ≤ 1200A/µs, VDD ≤ BVDSS, Starting TJ = 25°C
4. Pulse Test: Pulse width ≤ 300µs, Duty Cycle ≤ 2%
5. Essentially Independent of Operating Temperature
3. 3 www.fairchildsemi.com
FCD7N60/FCU7N60600VN-ChannelMOSFET
FCD7N60/FCU7N60 Rev. A0
Typical Performance Characteristics
Figure 1. On-Region Characteristics Figure 2. Transfer Characteristics
10
-1
10
0
10
1
10
-1
10
0
10
1
VGS
Top : 15.0 V
10.0 V
8.0 V
7.0 V
6.5 V
6.0 V
Bottom : 5.5 V
* Notes :
1. 250µs Pulse Test
2. TC
= 25
o
C
ID
,DrainCurrent[A]
VDS
, Drain-Source Voltage [V]
2 4 6 8 10
10
-1
10
0
10
1
* Note
1. VDS
= 40V
2. 250µs Pulse Test
-55
o
C
150
o
C
25
o
C
ID
,DrainCurrent[A]
VGS
, Gate-Source Voltage [V]
Figure 3. On-Resistance Variation vs. Figure 4. Body Diode Forward Voltage
Drain Current and Gate Voltage Variation vs. Source Current
and Temperatue
0 5 10 15 20
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
VGS
= 20V
VGS
= 10V
* Note : TJ
= 25
o
C
RDS(ON)
[Ω],
Drain-SourceOn-Resistance
ID
, Drain Current [A]
0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6
10
-1
10
0
10
1
25
o
C150
o
C
* Notes :
1. VGS
= 0V
2. 250µs Pulse Test
IDR
,ReverseDrainCurrent[A]
VSD
, Source-Drain Voltage [V]
Figure 5. Capacitance Characteristics Figure 6. Gate Charge Characteristics
10
-1
10
0
10
1
0
1000
2000
3000
Ciss
= Cgs
+ Cgd
(Cds
= shorted)
Coss
= Cds
+ Cgd
Crss
= Cgd
* Notes :
1. VGS
= 0 V
2. f = 1 MHz
Crss
Coss
Ciss
Capacitance[pF]
VDS
, Drain-Source Voltage [V]
0 5 10 15 20 25
0
2
4
6
8
10
12
VDS
= 250V
VDS
= 100V
VDS
= 400V
* Note : ID
= 7A
VGS
,Gate-SourceVoltage[V]
QG
, Total Gate Charge [
o
C]
4. 4 www.fairchildsemi.com
FCD7N60/FCU7N60600VN-ChannelMOSFET
FCD7N60/FCU7N60 Rev. A0
Typical Performance Characteristics (Continued)
Figure 7. Breakdown Voltage Variation Figure 8. On-Resistance Variation
vs. Temperature vs. Temperature
-100 -50 0 50 100 150 200
0.8
0.9
1.0
1.1
1.2
* Notes :
1. VGS
= 0V
2. ID
= 250µA
BVDSS
,(Normalized)
Drain-SourceBreakdownVoltage
TJ
, Junction Temperature [
o
C]
-100 -50 0 50 100 150 200
0.0
0.5
1.0
1.5
2.0
2.5
3.0
* Notes :
1. VGS
= 10 V
2. ID
= 3.5 A
RDS(ON)
,(Normalized)
Drain-SourceOn-Resistance
TJ
, Junction Temperature [
o
C]
Figure 9. Maximum Safe Operating Area Figure 10. Maximum Drain Current
vs. Case Temperature
10
0
10
1
10
2
10
3
10
-2
10
-1
10
0
10
1
10
2
Operation in This Area
is Limited by R DS(on)
DC
10 ms
1 ms
100 µs
* Notes :
1. TC
= 25
o
C
2. TJ
= 150
o
C
3. Single Pulse
ID
,DrainCurrent[A]
VDS
, Drain-Source Voltage [V]
25 50 75 100 125 150
0.0
2.5
5.0
7.5
10.0
ID
,DrainCurrent[A]
TC
, Case Temperature [
o
C]
Figure 11. Transient Thermal Response Curve
10
-5
10
-4
10
-3
10
-2
10
-1
10
0
10
1
10
-2
10
-1
10
0
* N otes :
1. ZθJC
(t) = 1.5
o
C /W M ax.
2. D uty F actor, D =t1
/t2
3. TJM
- TC
= PD M
* Z θ JC
(t)
single pulse
D =0.5
0.02
0.2
0.05
0.1
0.01
ZθJC
(t),ThermalResponse
t1
, S quare W ave P ulse D uration [sec]
t1
PDM
t2
9. 9 www.fairchildsemi.com
FCD7N60/FCU7N60600VN-ChannelMOSFET
FCD7N60/FCU7N60 Rev. A0
TRADEMARKS
The following are registered and unregistered trademarks Fairchild Semiconductor owns or is authorized to use and is not
intended to be an exhaustive list of all such trademarks.
DISCLAIMER
FAIRCHILD SEMICONDUCTOR RESERVES THE RIGHT TO MAKE CHANGES WITHOUT FURTHER NOTICE TO ANY PRODUCTS HEREIN TO
IMPROVE RELIABILITY, FUNCTION OR DESIGN. FAIRCHILD DOES NOT ASSUME ANY LIABILITY ARISING OUT OF THE APPLICATION OR USE
OF ANY PRODUCT OR CIRCUIT DESCRIBED HEREIN; NEITHER DOES IT CONVEY ANY LICENSE UNDER ITS PATENT RIGHTS, NOR THE
RIGHTS OF OTHERS. THESE SPECIFICATIONS DO NOT EXPAND THE TERMS OF FAIRCHILD’S WORLDWIDE TERMS AND CONDITIONS,
SPECIFICALLY THE WARRANTY THEREIN, WHICH COVERS THESE PRODUCTS.
LIFE SUPPORT POLICY
FAIRCHILD’S PRODUCTS ARE NOT AUTHORIZED FOR USE AS CRITICAL COMPONENTS IN LIFE SUPPORT DEVICES OR SYSTEMS WITHOUT
THE EXPRESS WRITTEN APPROVAL OF FAIRCHILD SEMICONDUCTOR CORPORATION.
As used herein:
1. Life support devices or systems are devices or systems which,
(a) are intended for surgical implant into the body, or (b) support
or sustain life, or (c) whose failure to perform when properly used
in accordance with instructions for use provided in the labeling,
can be reasonably expected to result in significant injury to the
user.
2. A critical component is any component of a life support device
or system whose failure to perform can be reasonably expected
to cause the failure of the life support device or system, or to
affect its safety or effectiveness.
PRODUCT STATUS DEFINITIONS
Definition of Terms
ACEx™
ActiveArray™
Bottomless™
Build it Now™
CoolFET™
CROSSVOLT™
DOME™
EcoSPARK™
E2
CMOS™
EnSigna™
FACT™
FAST®
FASTr™
FPS™
FRFET™
FACT Quiet Series™
GlobalOptoisolator™
GTO™
HiSeC™
I2C™
i-Lo™
ImpliedDisconnect™
IntelliMAX™
ISOPLANAR™
LittleFET™
MICROCOUPLER™
MicroFET™
MicroPak™
MICROWIRE™
MSX™
MSXPro™
OCX™
OCXPro™
OPTOLOGIC®
OPTOPLANAR™
PACMAN™
POP™
Power247™
PowerEdge™
PowerSaver™
PowerTrench®
QFET®
QS™
QT Optoelectronics™
Quiet Series™
RapidConfigure™
RapidConnect™
µSerDes™
ScalarPump™
SILENT SWITCHER®
SMART START™
SPM™
Stealth™
SuperFET™
SuperSOT™-3
SuperSOT™-6
SuperSOT™-8
SyncFET™
TCM™
TinyBoost™
TinyBuck™
TinyPWM™
TinyPower™
TinyLogic®
TINYOPTO™
TruTranslation™
UHC™
UniFET™
UltraFET®
VCX™
Wire™
Across the board. Around the world.™
The Power Franchise®
Programmable Active Droop™
Datasheet Identification Product Status Definition
Advance Information Formative or In
Design
This datasheet contains the design specifications for
product development. Specifications may change in
any manner without notice.
Preliminary First Production This datasheet contains preliminary data, and
supplementary data will be published at a later date.
Fairchild Semiconductor reserves the right to make
changes at any time without notice in order to improve
design.
No Identification Needed Full Production This datasheet contains final specifications. Fairchild
Semiconductor reserves the right to make changes at
any time without notice in order to improve design.
Obsolete Not In Production This datasheet contains specifications on a product
that has been discontinued by Fairchild semiconductor.
The datasheet is printed for reference information only.
Rev. I20