-4d90550d17f4602e089-77ea 20220308060409416 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 03 30 2022 11 4 Master of Technology in Structural Engineering, Department of Civil Engineering, Brindavan Institute of Technology and Science, Kurnool, Affiliated to Jawaharlal Nehru Technological University (JNTU), Anantapur and approved by AICTE Andhra Pradesh, India. Shaik Anchala Mohammad Ghouse PG Coordinator & Assistant Professor in Department of Civil Engineering, Brindavan Institute of Technology and Science, Kurnool, affiliated to Jawaharlal Nehru Technological University (JNTU), Anantapur and approved by AICTE Andhra Pradesh, India. Maddikera Lokanath Reddy For designing of an earthquake-resistant structure we follow Indian Seismic design codes are exclusive to a particular country or region. Moreover these seismic codes considered all the criteria such as building typologies, accepted level of seismic risk, local seismology. IS 1893 is an Indian seismic code that provides the seismic zone map and specifies seismic design force. The Bureau of Indian Standard (IS: 1893 (Part-1) 2002) classified India into 4 seismic zones (i.e. Zone II, Zone III, Zone IV & Zone V) and the code allocates 4 levels of seismic intensities as zone factors. But this code does not provide any information regarding how much of required percentage of steel-reinforcement has been increased from zone to zone. The main objective for presenting this project is to obtain the increment in the required percentage of steel-reinforcement for various zones by analyzing a multistory Apartment Building with Stilt + G + 3 Floors as per Indian Standard Codes IS 456 : 2000 and IS 1893 (Part – 1) 2002 using STAAD-Pro Software. 03 30 2022 37 44 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9801.0311422 https://www.ijitee.org/portfolio-item/c98010311422/ Assistant Professor, Department of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram, India. Dr. D Thamaraiselvi Shanmukha Sai Ganesh Sripada B.E student, Department of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram, India. Pisupati Srinivasa Pranav B.E student, Department of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram, India. Inventory is the array of finished goods, spares, raw materials, and other substances required in the production of the finished goods and it is a major asset to a typical manufacturing company. When utilized properly, it can yield great profits for an organization and when not managed in an optimized way, it can incur big losses. There are various methods for inventory control, some of them being JIT (just in time inventory), cross-docking, and cycle counting. But these methods never yielded dividends to companies in getting control over their inventories. Therefore the need for proper inventory models to help maintain optimal stock keeping in mind the specific constraints of each company/organization is essential, say the least. This paper presents a generic version of an inventory model for raw materials, finished goods, and spares in a stock-keeping unit (SKU) where the overall stock is considered as a dependent variable and it is expressed as a function of various parameters or independent variables such as seasonality, demand and lead times ( to name a few). The model allows the prediction of inventory levels of raw materials, finished goods, and spare parts of the machinery with a very high degree of accuracy and can subject the predictive model to various sensitivity and scenario analyses thus being able to gauge the opportunities and risks involved. As a result, there will be all-around improvements in vendor performance, procurement of raw material, handling the finished goods, and spare stocks resulting in an optimized environment in the inventory. 03 30 2022 45 48 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9802.0311422 https://www.ijitee.org/portfolio-item/c98020311422/ Assistant Professor, Department of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram (Tamil Nadu), India. Dr. D Thamaraiselvi R A V S R Vamsi Krishna B.E Student, Department of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram (Tamil Nadu), India. Segu Hemateja B.E Student, Department of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram (Tamil Nadu), India. Nowadays, one can observe the arrival of several mechanical techniques in the agricultural sector. To make the technology accessible to everyone at an affordable cost and to diminish workload for farmers by making it easier to control and understandable, there should be the presence of new technology and it is IoT, which is elaborated as Internet of Things. Usually, Internet of Things is defined as the number of gadgets are connected through wireless networks such as Wi-Fi, SIM networks, etc. IoT technology in the agricultural sector might create wonders by reducing the burden for farmers in a great way. Using IoT (Internet of Things), modern wireless devices can be constructed at an affordable cost to farmers across the country. Therefore, farmers could gain high productivity as the tasks are getting easier as well as being completed within a short period. This paper centers around the job of the Internet of Things in agribusiness that prompts brilliant cultivating. The modern technology named IoT not only shows the impact in the agricultural field but also provides several functionalities in other fields. The point of this undertaking is to propose IOT based Smart and Automated Agricultural Management System that records the data of moisture, temperature, humidity, heat index, and water level. In Smart and Automated Agricultural Management System, soil moisture sensor, DHT11 sensor, water-level sensor, and Arduino technology are utilized to simplify tasks by controlling the parameters of crop moisture content, environmental temperatures at appropriate times through the mobile application called Blynk with secured working. 03 30 2022 49 55 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9803.0311422 https://www.ijitee.org/portfolio-item/c98030311422/ Assistant Professor, Department of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram (Tamil Nadu), India. N Kumaran Purandhar Sri Sai B.E Student, Department of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram (Tamil Nadu), India. Lokesh Manikanta B.E Student, Department of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram (Tamil Nadu), India. A web service is one of the most important Internet communications software services. Using fraudulent methods to get personal information is becoming increasingly widespread these days. However, it makes our lives easier, it leads to numerous security vulnerabilities to the Internet’s private structure. Web phishing is just one of the many security risks that web services face. Phishing assaults are usually detected by experienced users however, security is a primary concern for system users who are unaware of such situations. Phishing is the act of portraying malicious web runners as genuine web runners to obtain sensitive information from the end-user. Phishing is currently regarded as one of the most dangerous threats to web security. Vicious Web sites significantly encourage Internet criminal activity and inhibit the growth of Web services. As a result, there has been a tremendous push to build a comprehensive solution to prevent users from accessing such websites. We suggest a literacy-based strategy to categorize Web sites into three categories: benign, spam, and malicious. Our technology merely examines the Uniform Resource Locator (URL) itself, not the content of Web pages. As a result, it removes run-time stillness and the risk of drug users being exposed to cyber surfer-based vulnerabilities. When compared to a blacklisting service, our approach performs better on generality and content since it uses learning techniques. 03 30 2022 56 59 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9804.0311422 https://www.ijitee.org/portfolio-item/c98040311422/