Efficiency norms
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The document discusses efficiency norms in India to improve fuel efficiency in vehicles. By 2021, all vehicles in India must improve mileage by 10% compared to current levels. From 2022 onward, the target is a 30% improvement in fuel efficiency. Various methods are discussed to boost efficiency, such as reducing friction, weight, and air resistance. The Bureau of Energy Efficiency has implemented several programs, including fuel efficiency standards for passenger cars and heavy vehicles, labeling schemes, and standards for electric vehicles.
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Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
The Python for beginners. This is an advance computer language.
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Comparative analysis between traditional aquaponics and reconstructed aquapon...
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
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留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
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BRAIN TUMOR DETECTION for seminar ppt.pdf
BRAIN TUMOR DETECTION
AND CLASSIFICATION USING
ARTIFICIAL INTELLIGENCE
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.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
CalArts毕业证学历书【微信95270640】CalArts毕业证’圣力嘉学院毕业证《Q微信95270640》办理CalArts毕业证√文凭学历制作{CalArts文凭}购买学历学位证书本科硕士,CalArts毕业证学历学位证【实体公司】办毕业证、成绩单、学历认证、学位证、文凭认证、办留信网认证、（网上可查，实体公司，专业可靠）
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Efficiency norms
- 1. Efficiency Norms- Fuel to Wheel
- 4. • Under the new norms, the automotive industry will have to ensure that the mileage of cars on Indian roads improves by 10% by 2021. • The second phase, for which the government did not specify a deadline, will begin from 2022 and targets a fuel efficiency improvement by 30%.
- 5. In order to increase the mileage, • reduce the friction • increase combustion or • reduce the inertia of the vehicle. • Better fuel efficiency could also be achieved reducing the weight and air resistance
- 6. BEE Activities 1.Fuel Efficiency Standards for passenger cars 2.Fuel Efficiency standards for Heavy duty vehicle 3.Labeling of cars 4. Fuel Economy norms for 2 wheelers 5.Fuel Efficiency Standards for Tractors and subsequent labeling 6.Electric vehicles (EV) and charging infrastructure for EVs
- 7. Fuel Efficiency standards for Heavy duty vehicle • Defines constant speed fuel Consumption Standard for Heavy Duty Vehicles (HDVs), in diesel fuel consumption value (liter per 100 kilometer) derived from the equations given in the notification S.O.2670(E) notified on 16th August,2017 and effective from 1 st April,2018. • Specifies the standard, for testing & determination of the Fuel Consumption of a Heavy Duty Vehicles. • Specifies Enforcing body to regulate the notified fuel consumption standards
- 8. • On and from 1st April, 2018, diesel vehicles of category M3 and N3 with gross vehicle weight of twelve tonnes and above, complying with BS-IV emission norms, shall be tested for constant speed fuel consumption as specified by the Ministry of Road Transport and Highways, till the time Bureau of Indian Standards notify corresponding standards. • M3 : Vehicles used for the carriage of passengers, comprising more than eight seats in addition to the driver's seat, and having a maximum mass exceeding 5 tonnes. (Bus) • N3: Vehicles used for the carriage of goods and having a maximum mass exceeding 12 tonnes. (Commercial Truck)
- 13. Labelling Program • Specifies the fuel efficiency labeling requirements for passenger cars under M1 category of motor vehicles covered under Central Motor Vehicle Rules (CMVR) 1989 being manufactured, sold and purchased in India. • The test procedure, parameters and test conditions for the Type Approval and Conformity of Production testing of motor vehicles shall be as per the procedures given under MoRTH/CMVR/TAP115/116. • Star Rating performance indicator in terms of India Fuel Economy Rating (IFER – I). • Indicate the fuel consumption, measured in terms of the fuel on which the vehicle will run M1 Vehicles used for carriage of passengers, comprising not more than eight seats in addition to the driver's = 9.( Larger Than Standard Car eg: London Cab / E7 Type Vehicle 8 seat + Driver.)
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- 19. • UN ECE Regulation No. 117, or UNECE R117. • The regulation, first passed in 2005, introduced requirements on the maximum rolling sound emissions of tyres. • The maximum RR limits were introduced with separate limit values specified for class C1 tyres (passenger car tyres), class C2 tyres (light commercial vehicle tyres) and classC3tyres(truckandbustyres).