Skip to main content

Kerala PSC Notification| recruitment for the post of Assistant Professor

   Extra  Ordinary Gazette  Date    :       11.12.2019                                           Last Date                  :       15.01.2020           Category No.  283/2019 – 304/2019 1. Applications  are  invited  online  only  through  ONE  TIME  REGISTRATION    from  qualified candidates   for appointment  in  the  under  mentioned posts  in Kerala   Government  Service. Department : 2. Name  of Post : Kerala  Collegiate  Education Assistant  Professor (in the  following various  subjects) 1. History    -  Category No. 283/2019 2. Urdu  -    Category  No.  284/2019 3. Hindi   -   Category  No.  285/2019 4. Tamil   -  Category No.  286/2019 5. English -  Category  No. 287/2019 6. Arabic  -  Category  No.  288/2019 7. Malayalam             - 8. Kannada                 - Category  No. 289/2019 Category  No. 290/2019       9. Travel  &  Tourism  -  Category  No. 291/2019 10. Islamic  History    -  Category No.  292/2019 11. Chemistry            -  Category No.  293/2019 12. Geography           -  Category No.  294/2019 13. Zoology                - 14. Mathematics         - Category  No.  295/2019 Category  No.  296/2019 15. Political  Science   -  Category No.  297/2019 16. Commerce    -  Category  No.  298/2019 17. Psychology  -  Category No.  299/2019 18. Sociology     -  Category  No.   300/2019 19. Music           - Category No.   301/2019 20. Philosophy  -  Category No.   302/2019 21. Physics          - Category  No. 303/2019  22. Home  Science  (Food &  Nutrition)-Category  No.304/2019 3. 4. Scale  of pay Number  of vacancy : : UGC Scale History – 1 (One) Subjects  other than History –  Anticipated vacancies The  above  vacancy  is  now  in  existence.    The  Ranked  list  published  by  the  Commission  in  response to  this  notification  shall  remain  in  force  for  a  minimum  period  of  one  year  provided  that  the  said  list will  continue  to  be  in  force  till  the  publication  of  a  new  list  after  the  expiry  of  the  minimum  period  of one  year  or  till  the  expiry  of  three  years  whichever  is  earlier.    Candidates  will  be  advised  from  the  said list  against  the  vacancies  reported to  the  Commission in writing during the  period  of currency of the  list Note  :  3%  of  the  vacancies  for  the  post  shall  be  reserved  for   Differently  Abled  candidates  with Locomotor  Disability  /  Cerebral  Palsy,  Low  Vision,  Blindness  and  Hearing  impairment  as  per  G.O  (P) No.61/12/SWD  Dated  17/10/2012.

Comments

Post a Comment

Popular posts from this blog

History of GIS

1. 1832 - Early Spatial Analysis in Epidemiology:    - Charles Picquet creates a map in Paris detailing cholera deaths per 1,000 inhabitants.    - Utilizes halftone color gradients for visual representation. 2. 1854 - John Snow's Cholera Outbreak Analysis:    - Epidemiologist John Snow identifies cholera outbreak source in London using spatial analysis.    - Maps casualties' residences and nearby water sources to pinpoint the outbreak's origin. 3. Early 20th Century - Photozincography and Layered Mapping:    - Photozincography development allows maps to be split into layers for vegetation, water, etc.    - Introduction of layers, later a key feature in GIS, for separate printing plates. 4. Mid-20th Century - Computer Facilitation of Cartography:    - Waldo Tobler's 1959 publication details using computers for cartography.    - Computer hardware development, driven by nuclear weapon research, leads to broader mapping applications by early 1960s. 5. 1960 - Canada Geograph...
Post a Comment
Read more

Spectral Signature vs. Spectral Reflectance Curve

Spectral Signature  A spectral signature is the unique pattern in which an object: absorbs energy reflects energy emits energy across different wavelengths of the electromagnetic spectrum. ✔ Key Points Every natural and man-made object on Earth interacts with sunlight differently. These interactions produce a distinct pattern , just like a "fingerprint". Sensors on satellites record these patterns as digital numbers (DN values) . These patterns help to identify and differentiate objects such as vegetation, soil, water, snow, buildings, minerals, etc. ✔ Examples of Spectral Signatures Healthy vegetation → High reflectance in NIR , strong absorption in red Water → Strong absorption in NIR and SWIR , low reflectance Dry soil → Gradual increase in reflectance from visible to NIR Snow → High reflectance in visible , low in SWIR ✔ Why Spectral Signature Matters It allows: Land cover classification Chan...
Post a Comment
Read more

Platforms in Remote Sensing

In remote sensing, a platform is the physical structure or vehicle that carries a sensor (camera, scanner, radar, etc.) to observe and collect information about the Earth's surface. Platforms are classified mainly by their altitude and mobility : Ground-Based Platforms Definition : Sensors mounted on the Earth's surface or very close to it. Examples : Tripods, towers, ground vehicles, handheld instruments. Applications : Calibration and validation of satellite data Detailed local studies (e.g., soil properties, vegetation health, air quality) Strength : High spatial detail but limited coverage. Airborne Platforms Definition : Sensors carried by aircraft, balloons, or drones (UAVs). Altitude : A few hundred meters to ~20 km. Examples : Airplanes with multispectral scanners UAVs with high-resolution cameras or LiDAR High-altitude balloons (stratospheric platforms) Applications : Local-to-regional mapping ...
Post a Comment
Read more

Model GIS object attribute entity

These concepts explain different ways of organizing, storing, and representing geographic information in a Geographic Information System (GIS) . They include database design models (ER model), data structure models (Object and Attribute models), and spatio-temporal representations that integrate location, entities, and time . Together, they help GIS manage both spatial data (where things are) and descriptive information (what they are and how they change over time) . 1. Object-Based Model (Object-Oriented Data Model) The Object-Based Model treats geographic features as independent objects that combine spatial geometry and descriptive attributes within a single structure. Core Concept: Each geographic feature (such as a building, road, or river ) is represented as a self-contained object that stores both: Geometry – location and shape (point, line, polygon) Attributes – descriptive properties (name, type, length, capacity) Unlike older georelational models , which stored spatial ...
Post a Comment
Read more

GIS data continuous discrete ordinal interval ratio

In Geographic Information Systems (GIS) , data is categorized based on its nature (discrete or continuous) and its measurement scale (nominal, ordinal, interval, or ratio). These distinctions influence how the data is collected, analyzed, and visualized. Let's break down these categories with concepts, terminologies, and examples: 1. Discrete Data Discrete data is obtained by counting distinct items or entities. Values are finite and cannot be infinitely subdivided. Characteristics : Represent distinct objects or occurrences. Commonly represented as vector data (points, lines, polygons). Values within a range are whole numbers or categories. Examples : Number of People : Counting individuals on a train or in a hospital. Building Types : Categorizing buildings as residential, commercial, or industrial. Tree Count : Number of trees in a specific area. 2. Continuous Data Continuous data is obtained by measuring phenomena that can take any value within a range...
Post a Comment
Read more