Tamilnadu 7th Pay Matrix Table Pdf Download !!TOP!!

Tamil Nadu revised Pay Rules 2017 prescribed Pay Matrix for all Grade Pays in Pay Band wise. Four Pay Matrix Table has been provided in the Tamil Nadu (RP) Rules 2017 for all the four Pay bands. The following definitions will help to understand the structure of the Pay matrix issued for Tamil Nadu government Employees to revise the pay as per 7th CPC Recommendation

In each commission session, stakeholders present their demands regarding the change required in the pay structure. Later the commission decides the changes that need to be incorporated. The pay commission set by the Indian Government uses a pay matrix during the meeting to discuss and review the change in pay structure.

Tamilnadu 7th Pay Matrix Table Pdf Download

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Employees can check their present pay level and future growth throughout their careers through this matrix. The latest matrix present is the 7th Pay matrix which is being followed to decide the pay level of any employee under the central Government. A 23.35% hike has been seen in the basic pay and allowances given to government employees since the 7th Pay matrix was introduced.

The 7 Pay matrix table was designed by the 7th pay commission of India in 2016 that depicts a rational chart to show the salary structure per the pay levels. After a complete discussion of the 7th pay commission and the stakeholders to bring more transparency in the salary structure and the same pay level for entry-level employees, the 7 Pay matrix table was introduced as a simple chart. The standard pay for employees at the entry-level, transparent pay structure, and standard treatment of similar cadres are a few of the demands considered in the purview of the 7th pay commission pay matrix.

Transparency in pay structure, rationalization of pay structure as per the grade, enhancement in the Modified Assured Career Progression frequency, and many more factors are incorporated in the new pay matrix.

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Pay Matrix Level 17 is for a category of central government employees that correspond to very senior administrative positions or top executives in the government sector. The exact salary for Level 17 in the pay matrix depends on various factors, such as the nature of the job, the place of posting, and the specific responsibilities attached to the role, etc.

An underwriter is a person who assesses and evaluates the risk of insurance in his or her field like mortgage, loan, health policy, investment, and so on and so forth. The underwriter career path does involve risks as analysing the risks means finding out if there is a way for the insurance underwriter jobs to recover the money from its clients. If the risk turns out to be too much for the company then in the future it is an underwriter who will be held accountable for it. Therefore, one must carry out his or her job with a lot of attention and diligence.

Job is quite challenging for a physiotherapist but is profitable too. Moreover, they are qualified to perform a physical examination and conduct assessments to detect a diagnosis process. Students can pursue Physiotherapy courses to become physiotherapists. Individuals who opt for a career as a physiotherapist can also have their own clinic or they could attend to their patients by visiting them at their residence.

Automation has been growing in recent years for the manufacturing industries to increase productivity. Multiple robotic arms are used to handle materials for lifting in flexible directions. The vertical rotation of a 360 degree single arm is considered in this research on a position servo drive with brushless DC motor. The load torque of an arm varies depending upon the angular displacement due to gravity, so it requires four-quadrant operation of the drive with a robust feedback controller. This paper deals with the design and performance comparison of a conventional PID feedback controller with a fuzzy-based PID controller and suggests the most suitable controller. The design was implemented in real time through the dSPACE DS1104 controller environment to verify the dynamic behaviors of the arm.

Brushless direct current (BLDC) motorsare widely used in position servo drive applications. They have less moment ofinertia, so are more suitable for quick start and stop operations. In recentyears, BLDC motors have been available in different milli-wattage tokilo-wattages as per position servo drive requirements, for example in theautomotive, aerospace, consumer and medical fields, for industrial automation roboticarms (Hernandez, Santibanez, & Campa, 2008). Especially industrialautomation requires more robust position control in different operatingenvironments and this requires four-quadrant operation, which allowsbidirectional speed control with regenerative braking capabilities (Manoharaprasad & Raja,2014). The single arm of the robot moves vertically or horizontally with onedegree of freedom (DOF) around 360. During its horizontalmotion, there is no change in the torque of the payload because gravitationalforce acts on the center of the arm at a constant magnitude. But duringvertical motion, the payload torque varies depending on its position due to thegravitational force in the centric load (Klafter, Chmeliewski, & Negin,2009). A varying load torque in nature is required to maintain constant speedto attain the desired position without delay, so the designs of feedbackcontrollers are an important consideration in this respect. The conventionalPID feedback controller depends on the accuracy of the mathematical model ofthe system and the expected performance is not met due to the loaddisturbances. Fuzzy logic is a technique to embody human-like thinking into acontrol system. The fuzzy-based PID controller gives better dynamic performanceas well as error reduction. This paper discusses the position control drive ofa vertical rotating single arm using conventional PID and fuzzy-based PIDcontrollers (Rodriguez & Emadi, 2007).

Thefeedback controller is the heart of the servo driver. The design of thefeedback controller requires two feedback closed loops, of which one is theinner loop current controller to limit the maximum current for protection ofthe motor and the second one is the position controller in the outer loop tomaintain the arm at the set desired position. In common industries,conventional PID controllers are used for the feedback system due to theirsimplicity and easy operation. But the conventional PID controller shows poor performanceduring load disturbance and during changes of command. Also, the design of thecontrol gain requires more mathematical modeling. To overcome these drawbacks, researchers have been using fuzzy-based PIDcontrollers in recent years. Fuzzy PID does not require complex mathematicalmodeling and is more suitable in all working environments (Hongli, Duan, Cai,& Jia, 2008). It also reduces the error and the responses are faster.

Mamdani-typeinference is used for the inference engine and the center of gravity method isused for defuzzification. The linguistic variables are divided into sevengroups, which are nl - negative large, nm - negative medium, ns - negativesmall, z- zero, ps- positive small, pm - positive medium and pl - positivelarge. The inference engine works based on rules shown in Table 3, where 7 7 = 49 rules are possible in the matrix.

Data of correlation coefficient matrix of water quality parametersis shown in Table 4. The good correlation (>0.7) amongst the water qualityparameters was indicated in bold coefficient values in table 4. In general,pH had fair correlation ( the correlation coefficients are negative for allparameters except for F ). TDS reported very good correlation with[Na.sup.+], [K.sup.+], S[O.sub.4.sup.-] and [Cl.sup.-] and good correlationwith [Ca.sup.2+], [Mg.sup.2+] and HC[O.sup.3-]. [Na.sup.+] reported very goodcorrelation with S[O.sub.4.sup.-], Cl and good correlation with [K.sup.+].[Ca.sup.2+] shows good correlation with [Mg.sup.2+] and HC[O.sub.3.sup.-].Very good correlation is observed between [K.sup.+] and [Cl.sup.-] and goodcorrelation with HC[O.sub.3.sup.-] and S[O.sub.4.sup.-]. Very goodcorrelation is observed between Mg2+ and HCO3-. The parametersHC[O.sub.3.sup.-] and S[O.sub.4.sup.-] correlated good with [Cl.sup.-].

In Principal Factor analysis, factor was extracted by principalcomponent method from the correlation matrix with Eigen values greater thanone (Davis 2002). Varimax rotation was completed in 5 iterations and rotationwas normalised. Data in Table 5 shows the rotated correlation coefficient forthe first three factors with bold values of greater coefficient values. Inthis study , the first gigen value is 1.49 and explains 62.4% of totalvariance, second is 1.48 which explains 12.32% of total variance, third is1.01 explains 8.9% and so on. The first three components accounts for a 84%of the total variance.

Sodium percentage up to 60% (Table 11) is acceptable for theirrigational use. Above 60% sodium, alkalization steadily increases and soilwill support little or no plant growth (Chandu et al. 1995). In the presentstudy 110 samples (76%) are useful for irrigation. 33 samples (23%) aredoubtful for irrigation and 1 sample (1%) not suitable for irrigation.

The U.S salinity laboratory classification (Fig. 9) of groundwaterand its summary (Table 12 )indicate the majority of water samples (about 57%)fall under [C.sub.3]-[S.sub.1] category. The high salinity water ([C.sub.4])should not be used on the soils with restricted drainage. In addition, thevery high salinity water ([C.sub.5]) is not suitable for irrigation underordinary conditions, but may be used occasionally under very specialcircumstances in order to ensure adequate drainage and good permeability ofsoils (USSL Staff 1954). ff782bc1db