Cloud Crafters.pptx
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The document describes an IoT-based agricultural system developed by Bauer et al. to assess leaf area index (LAI) in-situ. The system uses a wireless sensor network with ground and reference sensors to measure LAI, a parameter important for crop growth. Hardware components like TelosB motes equipped with sensors, and Raspberry Pis as cluster heads are used to collect, transmit and analyze LAI data. The data is sent to an IoT gateway and cloud using protocols like MQTT for visualization and farm management. The system aims to optimize crop productivity and sustainability using IoT technology for agriculture.
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Abstract
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A servey on wireless mesh networking module
Abstract
There is a rapid development in sensor devices as well as increase in communication range with various low power wireless radio
transmitter and receiver using wireless mesh network. Wireless mesh networking is useful to collect the information from different
sensors that are widely distributed over a large area. In this survey, we mainly focus on open source module that is shown by
various authors. For this purpose many authors use Zigbee module for the development of sensor systems with capability of mesh
networking. In this survey, we mainly focus on wireless mesh networking, for that we studied different wireless sensors to transmit
and receive the data from them and can monitor the output at regular interval on our screen. WSN consist of different sensors that
are distributed with the capabilities of computing, processing and communication can continuouslysense the data in terms of
packets and transmit that data at regular interval. They design such model in which integrates the various functions such as type
of network, data routing and scheduled of transmission data. Also design wireless mesh network structure for various monitoring
application such as industrial, agricultural, medical and so many with a good average packet delivery ratio upto 93%. This
proposed system has the advantage of low cost combined with high reliable information of transmitter without complications of
wireless mesh networking. And finally we conclude from that study of WMN, the range of communication can be increased by
Using Pro-Zigbee module (up to 1.6Km) as well as we can monitor that, if one of the node is fail to transmit a data ,then their
data will automatically stored in neighboring node as backup.
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This document describes a smart garbage collection and monitoring system for cities that uses sensors, a microcontroller, GPS, and GSM technology. The system aims to efficiently collect garbage by informing municipal officials when garbage bins reach their full capacity. Sensors placed in bins will detect when garbage levels exceed a threshold, triggering the microcontroller to send an SMS alert with the bin's location coordinates to workers. This real-time monitoring is intended to improve garbage collection and reduce health issues from overflowing bins. The system was developed using an AT89S52 microcontroller, ultrasonic sensors to detect fill levels, a GSM module for SMS alerts, and a GPS module to pinpoint bin locations.
Analysis of Water observation Organization Based on GSM and Wireless Sensor T...
The idea of ‘Wireless Sensor Network’ (WSN) is the basic building block of a water quality monitoring using wireless sensor network (WSN) technology. To monitor water quality over different sites as a real-time application, an excellent system architecture constituted by distributing sensor nodes and a base station is suggested. The nodes and base station are connected using WSN technology like Zigbee. Base stations are connected via Ethernet. Design and implementation of a prototype model using WSN technology are the challenging work. Data collected by various sensors on the node side such as pH, turbidity and oxygen level is sent via WSN to the base station. Data collected from the remote site can be displayed in visual format as well as it can be analyzed using different simulation tools at the base station. This novel system has advantages such as no carbon emission, low power consumption, more flexible to deploy at remote sites and so on.
A servey on wireless mesh networking module
Abstract
There is a rapid development in sensor devices as well as increase in communication range with various low power wireless radio
transmitter and receiver using wireless mesh network. Wireless mesh networking is useful to collect the information from different
sensors that are widely distributed over a large area. In this survey, we mainly focus on open source module that is shown by
various authors. For this purpose many authors use Zigbee module for the development of sensor systems with capability of mesh
networking. In this survey, we mainly focus on wireless mesh networking, for that we studied different wireless sensors to transmit
and receive the data from them and can monitor the output at regular interval on our screen. WSN consist of different sensors that
are distributed with the capabilities of computing, processing and communication can continuouslysense the data in terms of
packets and transmit that data at regular interval. They design such model in which integrates the various functions such as type
of network, data routing and scheduled of transmission data. Also design wireless mesh network structure for various monitoring
application such as industrial, agricultural, medical and so many with a good average packet delivery ratio upto 93%. This
proposed system has the advantage of low cost combined with high reliable information of transmitter without complications of
wireless mesh networking. And finally we conclude from that study of WMN, the range of communication can be increased by
Using Pro-Zigbee module (up to 1.6Km) as well as we can monitor that, if one of the node is fail to transmit a data ,then their
data will automatically stored in neighboring node as backup.
Keywords: Wireless Sensor Network, Wireless Mesh Network, Different Sensors, Zigbee Module.
IRJET- Earthquake Early Warning System for Android
This document describes the development of an earthquake early warning system for Android devices. The system uses sensors in smartphones to detect earthquake vibrations and differentiate them from human motion. When an earthquake is detected, a warning is sent to other smartphones via a network. The system aims to enhance current warning systems by leveraging rising mobile and sensor technologies. It discusses developing smartphone software to capture sensor data and perform analytics to identify earthquakes. Evaluation shows smartphones can accurately detect earthquakes and create a new type of seismic network. This would improve safety for communities vulnerable to earthquakes worldwide.
Remote temperature and humidity monitoring system using wireless sensor networks
Abstract Today’s world has become very advanced with smart appliances and devices like laptops, tablets, televisions. smart phones with different features and their usage has been enormously increasing in our day-to-day life. The technology advancement in Digital Electronics and Micro Electro Mechanical Systems. In this scenario the most important role is played by Wireless Sensor Networks and its development and usage in heterogeneous fields and several contexts. the home automation field and process control systems and health control systems widely uses wireless sensor networks. Moreover with WSN we can monitor environments and its conditions also. We are designing a protocol to monitor the environmental temperature and humidity at different conditions. The architecture is simple to construct and ease to implement and also has an advantage of low power consumption. The aim of our paper to describe and show how to create a simple protocol for environment monitoring using a wireless development kit. we are using advanced technology of crossbow motes and NESC Language Programming. Keywords: Motes, WSN, sensor, TinyOS, Nesc.
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Modelagem de um CSTR com reação endotermica.pdf
Modelagem em função de transferencia. CSTR não-linear.
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
IIT毕业证原版定制【微信：176555708】【伊利诺伊理工大学毕业证成绩单-学位证】【微信：176555708】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
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
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
学历顾问：微信：176555708
bank management system in java and mysql report1.pdf
truth is high but higher still is truth full living
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
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.
A review on techniques and modelling methodologies used for checking electrom...
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
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Hierarchical Digital Twin of a Naval Power System
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
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一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单专业办理
UMich毕业证原版定制【微信：176555708】【密歇根大学|安娜堡分校毕业证成绩单-学位证】【微信：176555708】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
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
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
学历顾问：微信：176555708
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%.
6th International Conference on Machine Learning & Applications (CMLA 2024)
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Advanced control scheme of doubly fed induction generator for wind turbine us...
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
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.
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bank management system in java and mysql report1.pdf
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6th International Conference on Machine Learning & Applications (CMLA 2024)
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Cloud Crafters.pptx
- 2. SAMARTH BIDARKAR ADHARSH.R MOHITH.B SAICHARAN.G PAVAN M VIJETH.K.R NIRANJAN.N.S SIMRAN TASMIYA SHREYA.K.S MONIKA.K.S ANUSHA.R CHAITRA.P.S
- 4. ●INTRODUCTION- An IoT-based agricultural system developed by Baueret al. The authors focus on the in-situ assessment of the leaf area index (LAI),which is considered as an essential parameter for the growth of most crops. LAI is a dimensionless quantity which indicates the total leaf area per unit ground area. For determining the canopy (the portion of the plant, which is above the ground) light,LAI plays an essential role.
- 5. ●ARCHITECTURE- Hardware and Software components were implementated in order to develop the IoT-based agricultural system for LAI assessment. One of the important components in this system is the wireless sensor network (WSN), which is used as the LAI assessment unit. Two Types were used in LAI:- 1. GROUND LEVEL SENSOR(G) 2. REFERENCE SENSOR()
- 6. ●HARDWARE- For sensing and transmitting the data from the deployment fields to a centralized unit, such as a server and a cloud, different hardware components are used in the system. The commercial off-the-shelf (COTS) TelosB platform is used in the system. The TelosB motes are equipped with three types of sensors: temperature, humidity, and light sensors. With the help of an optical filter and diffuser accessory on the light sensors, the PAR is calculated to estimate the LAI. The system is based on the cluster concept. A Raspberry-Pi is used as a cluster head, which connects with four ground sensor motes. The Raspberry-Pi is a tiny single board, which works as a computer and is used to perform different operations in IoT. Humidity and wet plants intermittently cause attenuation to the system, which is minimized with the help of forward error coding (FEC) technique.
- 8. ●HARDWARE- The real deployment of the LAI assessment system involves various environmental and wild-life challenges. Therefore, for reliable data delivery, the authors take the redundant approach of using both wired and wireless connectivity. In the first deployment generation, USB power supply is used to power-up the sensors motes. Additionally, the USB is used for configuring the sensor board and accessing the failure as per requirement. In this setup, a mechanical timer is used to switch off the sensor nodes during the night. In the second deployment generation, the cluster is formed with wireless connectivity. The ground sensor motes consist of external antennas, which help to communicate with the cluster head. A Raspberry-Pi with long-term evolution (LTE) is used as a gateway in this system.
- 9. ●COMMUNICATION- The LAI system consists of multiple components, such as WSN, IoT gateway, and IoT-based network. All of these components are connected through wired or wireless links. The public land mobile network (PLMN) is used to establish connectivity between external IoT networks and the gateway. The data are analyzed and visualized with the help of a farm management information system (FMIS), which resides in the IoT-based infrastructure. A prevalent data transport protocol: MQTT, is used in the system. MQTT is a very light-weight, publish/subscribe messaging protocol, which is widely used for different IoT applications. The wireless LAN is used for connecting the cluster head with a gateway. The TelosB motes are based on the IEEE 802.15.4 wireless protocol.
- 10. ●SOFTWARE- Software is an essential part of the system by which different operations of the system are executed. TinyOS, an open-source, low-power operating system, is used to operate the TelosB motes. The data acquired from the sensor node is stored with a timestamp and sequence number (SN). The TinyOS is capable of activating low-power listening modes of a mote, which is used for switching a mote into low-power mode during its idle state. In the ground sensor, TelosB motes broadcast the data frame, and the cluster head (Raspberry-Pi) receives it. This received data is transmitted to the gateway. Besides acquiring ground sensor data, the Raspberry Pi works as a cluster head. In this system, the cluster head can re-boot any affected ground sensor node automatically.
- 11. ●IOT ARCHITECTURE- The MQTT broker runs in the Internet server of the system. This broker is responsible for receiving the data from the WSN. In the system, the graphical user interface (GUI) is built using an Apache server. The visualization of the data is performed at the server itself. Further, when a sensor fails, the server informs the users. The server can provide different system-related information to the smartphone of the registered user.
- 12. ●CONCLUSION- In conclusion, leveraging lot for LAI analysis in agriculture offers unprecedented potential to optimize crop productivity, enhance sustainability, and revolutionize farming practices. Embracing this technology can pave the way for a more efficient and resilient agricultural sector.