Aptitude & technical Learning
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IPS Academy Indore provides an application to help students improve their aptitude and technical skills. The application allows students to check their performance by taking tests in aptitude and technical areas. It also allows administrators to access student data and track skill development. The goal is to reduce manual tracking of student information and provide a way for students to learn and evaluate their skills in an easy-to-use system. The application is built using technologies like HTML, JSP, SQL, and runs on a basic hardware configuration with a focus on good user interface and easy navigation.
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referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
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Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
Understanding Inductive Bias in Machine Learning
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
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Aptitude & technical Learning
- 1. IPS ACADEMY INDORE IPS ACADEMY,INDORE
- 2. APTITUDE & TECHNICAL LEARNING
- 3. Ankesh Singh Kushwah Dharmendra Mawle Harish Rathor Mohini Yadav
- 4. In the world of aptitude and technical learning, impact measuring program is a frequent discussion topic. Everyone seems to be searching for the perfect measurement system and application to increase thier capabilities, performance and check yourself..thats why we are making this application for the students,whereby they check their mind through aptitude and improve their technical skill by technical knowledge we provides here.
- 5. The main objective of the project is to manage the details of the students aptitude and technical skills by which students easily check their performance and learns something. the purpose of the project is to build an application program to reduce the manual work and it tracks all the details about the student,technical and aptitude skill.the project is totally built at administrative and students end where admin can access all the data and students can check their skills profile.
- 6. Aptitude and technical knowledge is necessary for the selection of the technical personnel is very common these day .typically this where the first elimination begins.so that’s we provide solution of apititude and technical knowledge.
- 7. It satisfies user requirement. Easy to operate. Have good user interface We easily navigate. The system generate types of information that can be used various purpose.
- 8. Requirements- Hardware- 32 & 64 bit OS Processor-intel core i3-5005U cpu Software –netbeans 8.2,mysql,adobedream viewer , Techniques-HTML,JSP,SQL Architecture- The architecture based on the java/JSP/MYSQL.
- 9. With the help of this web application we provides feasible study to the user . for example if any student wants to learn technical skill then through our web application he can easily learn and also check their skill through taking test and through the aptitude he can easily check their mind strength.
- 25. Thank you