Common_Verniers.pptx
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This document discusses Vernier scales and how they are used to increase the precision of measurements in physics labs. It explains that Vernier scales use a primary scale for the base measurement and a secondary Vernier scale to add one or two additional significant figures. Three common devices that use Vernier scales in physics labs are calipers, torsion lathes, and spectrometers. Examples are given of how to take measurements using the Vernier scales on each of these devices.
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The document discusses different forms of business organizations including sole proprietorship, partnership, joint stock company, cooperative society, and government sector. It provides details on their characteristics, advantages, disadvantages, types and examples. Sole proprietorship is owned and controlled by one individual while partnership consists of two or more individuals. A joint stock company is formed by registering under the Companies Act and has shareholders with limited liability. A cooperative society is formed voluntarily for economic or social goals. Public sector enterprises are owned and managed by the government.
material man,.pdf
This document discusses materials management in a hospital setting. It covers the key functions and processes involved, including purchase policies, receiving goods, inventory processes, distribution, and equipment management. Maintaining proper materials management is important to prevent issues like shortages, expiries, wastage, and pilferage. The main functions outlined are materials planning, purchasing, inventory control, storekeeping, standardization, transportation, quality control, and cost reduction. Purchase principles focus on obtaining the right quality, quantity, price, source and timing. Inventory control systems indicate when and how much to order to maintain optimum stock levels. Distribution involves moving materials from storage to end users as needed.
orgnisational man,.pdf
The document discusses different types of organizational structures. It begins by explaining line or military organization, where each department is self-contained and headed by someone with full control. It then explains functional organization, where work is divided by specialized functions. Next, it covers line and staff organization, where line officers make decisions and are advised by staff specialists. It provides advantages and disadvantages of each type of organization.
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The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
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6th International Conference on Machine Learning & Applications (CMLA 2024)
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Modelagem em função de transferencia. CSTR não-linear.
Embedded machine learning-based road conditions and driving behavior monitoring
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.
International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
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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.
Low power architecture of logic gates using adiabatic techniques
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
DfMAy 2024 - key insights and contributions
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
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本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
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CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
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Common_Verniers.pptx
- 1. Physics Reading Vernier Scales MS&T Physics 1135 and 2135 Labs
- 2. Physics Vernier Scales: Background Invented in 1631 by Pierre Vernier, Vernier scales allow very accurate measurement of lengths and angles through the use of two scales. One scale (the primary or data scale) provides the base measurement, with the other (the secondary, indicating, or Vernier scale) increasing precision. The reading on the Vernier scale is added to the reading on the primary scale to increase the precision. A typical Vernier adds one or two significant figures to a given measurement. In Physics 1135 and 2135 labs, we use three main devices with Vernier scales: calipers, torsion lathes, and spectrometers. Each is covered in turn in the following slides. MS&T Physics 1135 and 2135 Labs: Reading Vernier Scales Slide 2/6
- 3. Physics Measurement Basics: the Meterstick A typical meterstick with divisions spaced 1 mm apart is accurate give or take a millimeter. In this example, x = 33 ± 1 mm To increase precision, we could add more lines, which would be very difficult to read. Next, we’ll measure the same object with calipers to see how Vernier scales circumvent this obstacle. MS&T Physics 1135 and 2135 Labs: Reading Vernier Scales Slide 3/6
- 4. Physics Vernier Calipers The base measurement is given by the primary marking just left of the zero on the Vernier (green arrow): 3.3 cm, or 33 mm Next, find the Vernier marking that best aligns with a primary marking (red arrow): the 9th division. Our measurement is 33 + 9*0.02 mm, or 33.18 mm This is accurate give or take one division: x = 33.18 ± 0.02 mm MS&T Physics 1135 and 2135 Labs: Reading Vernier Scales Slide 4/6
- 5. Physics Vernier Scale on a Torsion Lathe Our torsion lathes use a Vernier to measure angles. The outer rim is marked in degrees, and there are ten divisions on the Vernier. Thus, this device is accurate to ±0.1° The reading shown is 9.2 ± 0.1° MS&T Physics 1135 and 2135 Labs: Reading Vernier Scales Slide 5/6
- 6. Physics Vernier Scale on a Spectrometer Our spectrometers also use a Vernier to measure angles. The outer ring is marked in half- degrees, and there are 30 divisions on the Vernier. This divides 1° into 60 increments, so this device is accurate to ±(1/60)°, or ±1 minute of arc. The reading shown is 245.5 + 12/60° or 245.7° MS&T Physics 1135 and 2135 Labs: Reading Vernier Scales Slide 6/6