This document provides details about the HR master data, personnel actions, organizational structure, payroll structure, and time management configuration for an enterprise. It describes the key HR objects like company codes, PAs, PSAs, cost centers, employee groups, and payroll areas. It also explains various personnel actions like hiring, transfer, promotion etc. and how they are configured. Finally, it discusses the time management schema, attendance, overtime calculation, and various time management related objects and operations.
On the stability of clustering financial time seriesGautier Marti
Talk at IEEE ICMLA 2015 Miami
In this presentation, we suggest some data perturbations that can help to validate or reject a clustering methodology besides yielding insights on the time series at hand. We show in this study that Pearson correlation is not that relevant for clustering these time series since it yields unstable clusters; prefer a more robust measure such as Spearman correlation based on rank statistics.
On the stability of clustering financial time seriesGautier Marti
Talk at IEEE ICMLA 2015 Miami
In this presentation, we suggest some data perturbations that can help to validate or reject a clustering methodology besides yielding insights on the time series at hand. We show in this study that Pearson correlation is not that relevant for clustering these time series since it yields unstable clusters; prefer a more robust measure such as Spearman correlation based on rank statistics.
Clustering CDS: algorithms, distances, stability and convergence ratesGautier Marti
Talk given at CMStatistics 2016 (http://cmstatistics.org/CMStatistics2016/).
The standard methodology for clustering financial time series is quite brittle to outliers / heavy-tails for many reasons: Single Linkage / MST suffers from the chaining phenomenon; Pearson correlation coefficient is relevant for Gaussian distributions which is usually not the case for financial returns (especially for credit derivatives). At Hellebore Capital Ltd, we strive to improve the methodology and to ground it. We think that stability is a paramount property to verify, which is closely linked to statistical convergence rates of the methodologies (combination of clustering algorithms and dependence estimators). This gives us a model selection criterion: The best clustering methodology is the methodology that can reach a given 'accuracy' with the minimum sample size.
CIS2005 Principles of Information Security - Assignment 2 Pract.docxMARRY7
CIS2005 Principles of Information Security - Assignment 2 Practical SAP Report
Description
Marks out of
Weighting
Due date
Assignment 2 – Practical report using SAP
50
5%
4th September 2014
Task 1 Specifications – Analyze SAP Security Audit Log Data.
You are provided with a data file – Userdata.xls.
Userdata.xls is a summarized record of user activity on a client’s SAP system. Each record contains the following fields:
USERID
YYYYMM
TCODE
TEXT
TCODESTAT
TCD
TSTATUS
TCOUNT
TTEXT
YYYYMM describes when the user action took place. YYYYMM is useful for summarising user activity by month. TCODE refers to the transaction (option on the menu) performed by the user. TEXT describes the outcome of the action, including its success or failure. Some tcodes are blank. Accordingly, TCODESTAT is an invented transaction code for each action indicating whether the action was successful (-0) or failed (-1). TCD is the same as TCODESTAT, except there is no -0 or -1. TSTATUS indicates whether the action was successful or not (0/1). TCOUNT is the number of times the user has performed this action, with this outcome, in the month YYYYMM. TTEXT is the narrative description of the TCODE.
Task 1 Requirements
You can use software of your choice (spreadsheet, database, statistical package etc) to analyze the provided SAP security audit log data (Userdata.xls), generate appropriate reports and provide an analysis of your findings (hint this assignment 2 task 1 can be done using excel pivot tables or Microsoft Access database SQL queries). Of particular interest are the following reports:
1. Alphabetic list of all actions and their frequency by any selected user, e.g. USER-040.
2. List of users performing unsuccessful activities.
3. List of transaction codes performed, with their frequency by each user.
4. List of users engaging in security-related actions.
5. Top 10 users in terms of frequency of activity.
6. List of users who are dormant – in the range USER-001 to USER-050.
7. You should also produce at least 3 reports/charts/plots based on any of the above previous reports that summarise activity over time using YYYYMM.
Note: Submission of your assignment report documents (an excel spreadsheet for task 1 if you use a spreadsheet for task1 or an Access database if you use a database for task 1) will be via Ease Assignment 2 submission link
PAGE
1
SAP_Security_LoguseridyyyymmftexttcodestattcdtstatustcountttextUSER-001201403SU10Transaction SU10 StartedSU10-0SU1001Mass Changes to User Master RecordsUSER-001201403SESSPassword changed for user USER-001 in client 400pwdc-0pwdc01USER-001201403Logon Successful (Type=A)logn-0logn01USER-001201403SESSLogon Successful (Type=A)logn-0logn01USER-001201403User Logoffloff-0loff01USER-001201403SESSLogon Failed (Reason = 3, Type = A)logn-1logn13USER-001201403SA38User Logoffloff-0loff01USER-001201403SESSLogon Failed (Reason = 1, Type = A)logn-1logn19USER-001201403SU03Transaction SU03 StartedSU03-0SU0301Maintain Aut ...
Clustering CDS: algorithms, distances, stability and convergence ratesGautier Marti
Talk given at CMStatistics 2016 (http://cmstatistics.org/CMStatistics2016/).
The standard methodology for clustering financial time series is quite brittle to outliers / heavy-tails for many reasons: Single Linkage / MST suffers from the chaining phenomenon; Pearson correlation coefficient is relevant for Gaussian distributions which is usually not the case for financial returns (especially for credit derivatives). At Hellebore Capital Ltd, we strive to improve the methodology and to ground it. We think that stability is a paramount property to verify, which is closely linked to statistical convergence rates of the methodologies (combination of clustering algorithms and dependence estimators). This gives us a model selection criterion: The best clustering methodology is the methodology that can reach a given 'accuracy' with the minimum sample size.
CIS2005 Principles of Information Security - Assignment 2 Pract.docxMARRY7
CIS2005 Principles of Information Security - Assignment 2 Practical SAP Report
Description
Marks out of
Weighting
Due date
Assignment 2 – Practical report using SAP
50
5%
4th September 2014
Task 1 Specifications – Analyze SAP Security Audit Log Data.
You are provided with a data file – Userdata.xls.
Userdata.xls is a summarized record of user activity on a client’s SAP system. Each record contains the following fields:
USERID
YYYYMM
TCODE
TEXT
TCODESTAT
TCD
TSTATUS
TCOUNT
TTEXT
YYYYMM describes when the user action took place. YYYYMM is useful for summarising user activity by month. TCODE refers to the transaction (option on the menu) performed by the user. TEXT describes the outcome of the action, including its success or failure. Some tcodes are blank. Accordingly, TCODESTAT is an invented transaction code for each action indicating whether the action was successful (-0) or failed (-1). TCD is the same as TCODESTAT, except there is no -0 or -1. TSTATUS indicates whether the action was successful or not (0/1). TCOUNT is the number of times the user has performed this action, with this outcome, in the month YYYYMM. TTEXT is the narrative description of the TCODE.
Task 1 Requirements
You can use software of your choice (spreadsheet, database, statistical package etc) to analyze the provided SAP security audit log data (Userdata.xls), generate appropriate reports and provide an analysis of your findings (hint this assignment 2 task 1 can be done using excel pivot tables or Microsoft Access database SQL queries). Of particular interest are the following reports:
1. Alphabetic list of all actions and their frequency by any selected user, e.g. USER-040.
2. List of users performing unsuccessful activities.
3. List of transaction codes performed, with their frequency by each user.
4. List of users engaging in security-related actions.
5. Top 10 users in terms of frequency of activity.
6. List of users who are dormant – in the range USER-001 to USER-050.
7. You should also produce at least 3 reports/charts/plots based on any of the above previous reports that summarise activity over time using YYYYMM.
Note: Submission of your assignment report documents (an excel spreadsheet for task 1 if you use a spreadsheet for task1 or an Access database if you use a database for task 1) will be via Ease Assignment 2 submission link
PAGE
1
SAP_Security_LoguseridyyyymmftexttcodestattcdtstatustcountttextUSER-001201403SU10Transaction SU10 StartedSU10-0SU1001Mass Changes to User Master RecordsUSER-001201403SESSPassword changed for user USER-001 in client 400pwdc-0pwdc01USER-001201403Logon Successful (Type=A)logn-0logn01USER-001201403SESSLogon Successful (Type=A)logn-0logn01USER-001201403User Logoffloff-0loff01USER-001201403SESSLogon Failed (Reason = 3, Type = A)logn-1logn13USER-001201403SA38User Logoffloff-0loff01USER-001201403SESSLogon Failed (Reason = 1, Type = A)logn-1logn19USER-001201403SU03Transaction SU03 StartedSU03-0SU0301Maintain Aut ...
An overview presentation of the basic functions of SAP EAM Planned Maintenance scheduling using Maintenance Plans, Maintenance Strategies & Maintenance Scheduling
Chapter 30 - Records, Minimum Wage, and Payment of Wages - Field Operations H...SwartzSwidler
The Field Operations Handbook (FOH) is an operations manual that provides Wage and Hour Division (WHD) investigators and staff with interpretations of statutory provisions, procedures for conducting investigations, and general administrative guidance. The FOH was developed by the WHD under the general authority to administer laws that the agency is charged with enforcing. The FOH reflects policies established through changes in legislation, regulations, significant court decisions, and the decisions and opinions of the WHD Administrator. It is not used as a device for establishing interpretative policy.
Lecture given by M.Nageswara Rao, SSO(A)/south central railway, secunderabad on the subject of "Railway classification of expenditure or Railway Allocation rules on 10th September, 2011 at ESTC/Lallaguda, Secunderabad.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Securing your Kubernetes cluster_ a step-by-step guide to success !
Cv bank pa
1. PA
ENTERPRISE STRUCTE: CLIENT(MANDT,V_T000),COMPANY
CODE(BUKRS,V_T001),PA(WERKS,V_T500P),PSA(BTRTL,V_T001P),ORG KEY,COST
CENTRE(KS01),PY AREA
COMPANY CODES: 1 & 2
PA: 6 (maharasstra, chenai, karnataka delhi utherpradesh ap)
PSA:HR,FIN,ADMN,MANF,MRKTG,PURCHASE,LOGISTICS,
COST C: AT POSITION LEVEL & ORG UNIT...BUT WE MAINTAINED AT POSITION LEVEL
MASTER CST C: PERSON
PERSONAL STURCTURE(): EE GRP(PERSK,V_00),EE SGRP(PERSG)
EEG:REG,TEMP,CONTRACT,TRAINEES
EESG: L9 - L1
payroll area: weekly,monthly(US) monthly(india) 7 to 8 payroll areas based on
psa or employee groups
PA30- Maintain HR Master
PA40- Personnel Actions
PA20- Display Actions
PA40- fast entry actions
PA70- Fast Entry Actions for PY
PA71- Fast Entry Actions for Time Management
Actions:hiring (0001,0002,0006,0009,0016,0019,0022,0023,0028) for perm ee....
probation(0000,0001,0016,0019)
conformation(0000,0001,0019)
deputation(0000,0001,0006,0007,0008,0009,0016,0019)
transfer(0001,0002,006,0007,0009)
promotion(0000,0001,0007)
Long Term Leave(0000/0001/0002)we'll change emp status to 'inactive'
return from Long Term Leave(0000/0001/0002)we'll change emp status to 'active'
Re-Hire( )--->msn21 - rehire
seperation(0000,0001,0006,0007,0009,0016,0019)--->msn20 - check ooption
emp attributes:
Activity Status:
1-Active
2-retiree
3-early retiree
4-part-time work
9-other
emp status:
1-industrial worker/hourly paid wrkr
2-salaried ee
3-civil servant
9-other
training status:
1-trainee/apparaintese
2-trained
9-other
FC(functional character) values:
1-direct hiring
7-hiring through e-recruitment module
8-country transfer(home to host country)
9-country transfer(host to home country)
2. 0-other
employment status:
0-withdrawn
1-inactive
2-retiree
3-active
special payment status:
0-no payment
1-std payment(all regular employees)
2-special payment(ceo,director..etc)
organizational key(VDSK1)
role authorization
structural authorization(field)
Q: diff b/w transfer deputation?
A:transefer is shifting the employee parmanetly to other locations of
client/company
deputation is shifting the employee for the specific short period of time
FC functional character of step
00-for indipendent of the current function carried out
02-change
04-create
06change+ create
08-delete
10 change and delete
12-create and delete
Dynamic Actions: maintained at IT, Sub type and field level.(table T588z)
step indicator:
P- check condition
I- maintain Infotype record
W- set default values when creating a new record
v- ref to other step
F- call routine
m- send mail
Screen Modification (feature p&IT)
Module pool Mp000100 Variabe key
Scenario:0021 should tigger after as soon as employee update his status like
(marriage, children)
marrital status in infotype 0002 then his spouse or children details should be
mandaterly
mentain because we need that info for dependent coverage...
S2: As soon as we run Deputation, probation actions:
0041 date specification infotype should be triggered so tat the start date of
the employee should be changed to deputation start date
IT0016 should be maintained in hiring action so tat to....after the 6 months of
deputation/probation completed,then he should be transfered prmanently to his
current deputed location,then 0019 will b triggered,so tat a custom field should
be maintained to trigger a notification 4 the end-user through
0128IT(notifications)
with the help of abaper,we have to write dynamic action which include call
3. routine prog as well as we maintain step indicator & concerned person's user id
in tat.
for conformation action: we need to maintain IT0000/01/02/16/19/41...for this,
we need to maintain it16/19/41 in intial hiring action of CONTRACT EMPLOYEES
mandatarily
NUMKR: ON THE basis eeg level...number ranges: reg: temp: contract:more
trainees:
abkrs:i dont maintain this...as we hav both perm & contract in every ee
grp...we'll maintain in 0001 wen we hire an ee
pinch:pa/time/payroll...assigned to emp groups and otherwise...blank(us)....will
b assigned to company code(india)
TIME MAGT
ways of creation of holidays:
with fixed date 4(Jan 26th, Aug 15th OCt 2nd. Dec 25th) July 4th for US
with a fixed day frm date (Good firiday) Colombus day Thanks Giving day for us
Boxingday
distance from easter
easter sunday
floating public holiday (Sankranthri
PH Class
0-not a public holiday
1-public holiday
2- Halif day PH
3 -9 Custom Specific PH
Work Schedule: Clarifies a particular emp going to work in a day for how many
working hours break schedules PWS.
DWS confirms weather a day is working day for day off, and working hours and
breaks.(5 ind)
Break Schedule: (4 breaks)
Fixed
Flexible
Dynamic
DWS Class Clarifies weather a particular day is working day or day off
DWS CLass 0- Day Off
DWS Class 1-9 Working Day
What r the parameters to define work schedule rule
Ans: ES grouping. Holiday Calender ID and PS grouping.
SCHKZ feature which is going to default the WsR iN IT 0007
DWS:
General shift(GDWS) -> 09:00 - 18:00
BREAKS -> 10:30-10:45, 13:30-14:00, 15:30-15-45
Morning Shift(MDWS) -> 06:00 - 14:00
BREAKS -> 07:30-07:45, 10:30-14:00, 15:30-15:45
Afternoon Shift(ADWS) -> 14:00 - 22:00
BREAKS -> 15:30-15:45, 18:00-18:30, 20:00-20:15
4. Night Shift(NDWS) -> 22:00 - 06:00
BREAKS -> 23:30-23:45, 01:30-02:00, 04:00-04:15
Day off(ODWS) -> 0
PWS:
General Shift
Rotation Shift1:WK1:MRNG
WK2:AFTN
WK3:NGNT
Rotation Shift2:WK1:AFTN
WK2:NGNT
WK3:MRNG
Rotation shift3:WK1:NGNT
WK2:MRNG
WK3:AFTN
Work Schedules rules:
GSWSR
MSWSR
ASWSR
NSWSR
DAY TYPES
0-WORK/PAID
1-NO WORK/NO PAY
2-NO WORK/PAY
3-CUSTOMER SPECIFIC
A)COMPANY ANNIVERSARY DAY,ORPHANAGE CHARITY VISIT, AUDIT TRAIL FOR EVERY THREE
MONTHS
PS GRPNGS:01
ES GRPNGS:01(MANF STAFF) 02(OTHER STAFF)
ABSENCE QUOTAS:
ANNUAL LEAVE: 12 DAYS
SICK LEAVE: 10 DAYS
CASUAL LEAVES: 10 - (INDIA ONLY
sCHEMA INFOTYPES CLUSTER
TMSTA
WITH OUT TE: PRTQTA00 -- -- 0
WITH TE
+VE: TM00, TM01 0050, 2011 B2 1 OR 7
RPTIME00
-VE: TM04 2001 B2 9
PROCESSING TYPES: PAIR TYPES:
S - PLANNED WORKING HRS 0- not worked not recorded
M - OVER TIME 1- worked/ recorded
P - WORKING HRS 2- absence with approval
K - BREAKS 3- worked @external
A - ABSENCE
TIME TYPES:
5. T555Z
T555Y
0090
0094
TIME WAGE TYPE FOR PAYROLL INTEGREATION(M007, M008)
T.CODE:
SCHEMA/ SUB SCHEMA - PE01
PCR - PE02
OPERATIONS/ FUNCTIONS - PE04
FEATURE - PE03
ATTENDANCE:
OVER TIME: TM04(SCHBSCHEMA), TW15(SUB SCHEMA), TO01(PCR FOR CALCULATE OT HRS),
TO02(pcr FOR STORE OT HRS)
COMP-OFF:
PCR- TR11
SCHEMA- TM04
TABLES: T555A/Y/Z
The importent operation in to01 pcr:
Hrs operation:this operation can be used to store the number of working hours
and
it can be used to compare other values
Varst:this operation can be used to query/retrive general status field from the
bankend tables
under varst sub oprations:dayty-daytype
holcl:holiday class
free:daily work schedule off
daypg:daily work schedule
Curmo: current time evalution period
curyr:current year
Reday:relative day ofthe time evalution period
ADDDB operation: this operation add number of hours to time type
The importent operation in to02 pcr:
outtp operation:this operation will process time pair
imp sub operations:ptype-pair tipe
vtype-processing type
abtype-absence type
prtype-attendence type
for possitve time mgt operations:
brtype-time event type at start time of time pair
ertype-time event type at end time of time pair
bterm-begin terminal id
eterm-end terminal id
Colop operation:this oeration transfer the data from tip to top table whenever
i dont wantcaliculation then i will to tip to tip entry
6. Gentp operation:seperating time pair data
Fillp operation: enter the status and time data for time pair
eg:v-processing type
m:overtime
7. Gentp operation:seperating time pair data
Fillp operation: enter the status and time data for time pair
eg:v-processing type
m:overtime