PPL DL9W Oldham Caplamp 1

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James Wood (4000+ Connections in Nigeria)

Process and Plant Sales represent Denchi Oldham Caplamps in West Africa - email james.wood@processandplant.co.uk Ghana, Mali, Burkina Faso, Mauritania, Senegal, Togo, Cote D'Ivoire, Sierra Leone, Liberia

Engineering

Process & Plant Sales Limited Tel: +44 1902 495 913
Email: james.wood@processandplant.co.uk

Malion New Materials Co., Ltd is a manufacturer of white polyethylene masterbatch located in Shantou, Guangdong Province, China. WHITE W1039 is their white masterbatch product containing 70% rutile titanium dioxide pigment. It can be directly mixed with plastics like LDPE, HDPE, PP, and ethylene copolymers to produce high opacity co-extruded films for applications such as courier and gift bags. WHITE W1039 pellets are packaged in 25kg bags.

MASTERBATCH BLANCO DE12230 TDS

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EMS Griltech brochure

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EMS-GRILTECH manufactures and sells technical fibers, bonding agents, hot melt adhesives, crosslinkers, and reactive diluents. Their products are used in applications such as paper machine clothing, automotive, packaging, clothing, powder coatings, and civil engineering. EMS-GRILTECH has production facilities in Switzerland, Germany, and the US and sells their products worldwide through sales offices and agents. They focus on developing new products and applications to create value for customers.

Heavy Duty Conveyor Optimization

James Wood (4000+ Connections in Nigeria)

This document provides information on Flexco's Bolt Solid Plate fastener system for heavy-duty belt conveyor applications. It summarizes the key features and benefits of the Bolt Solid Plate fastener system, including its superior strength from compression of plates mounted above and below belts, deep belt carcass penetration without damage, and piloted bolts for easy installation. Installation guidelines and a selection guide are provided to help customers choose the appropriate fastener size and splice pattern for their conveyor belts and pulley diameters. Ordering information and installation tools are also listed.

Flexco Belt Conveyor Product Overview

James Wood (4000+ Connections in Nigeria)

Les rondelles-freins Nord-Lock sécurisent les assemblages vissés avec la tension au lieu de la friction. Il s’agit d’un produit haut de gamme qui remporte depuis longtemps déjà un grand succès dans de nombreuses industries à travers le monde. Les rondelles de sécurité Nord-Lock ont été rigoureusement testées et approuvées aussi bien par des instituts indépendants que par des autorités de certification. Elles sont utilisées dans de nombreuses industries telles que la production d’énergie, les transports en commun, la production offshore, l’exploitation des mines et carrières, la construction, l’agriculture et l’exploitation forestière, les poids lourds et les équipements militaires. Nos rondelles freins sont approuvées par plusieurs normes spécifiques aux industries et spécifiées par de nombreuses entreprises internationales. Durant toute la vie d’un produit, les rondelles par effet de coin Nord-Lock améliorent la fiabilité des assemblages vissés et réduisent les coûts de maintenance tout en diminuant de manière significative les risques d’arrêt de production, d’accidents et de recours en garantie.

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James Wood (4000+ Connections in Nigeria)

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James Wood (4000+ Connections in Nigeria)

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James Wood (4000+ Connections in Nigeria)

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James Wood (4000+ Connections in Nigeria)

PPS DL9W Oldham Caplamp 2

James Wood (4000+ Connections in Nigeria)

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James Wood (4000+ Connections in Nigeria)

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James Wood (4000+ Connections in Nigeria)

Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...

IJECEIAES

Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to precisely delineate tumor boundaries from magnetic resonance imaging (MRI) scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The model is rigorously trained and evaluated, exhibiting remarkable performance metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical image analysis and enhance healthcare outcomes. This research paves the way for future exploration and optimization of advanced CNN models in medical imaging, emphasizing addressing false positives and resource efficiency.

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ACEP Magazine edition 4th launched on 05.06.2024

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This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.

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Comparative analysis between traditional aquaponics and reconstructed aquapon...

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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.

Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...

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Slides from talk presenting: Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking. Presentation at IcETRAN 2024 session: "Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation" IEEE Slovenia GRSS IEEE Serbia and Montenegro MTT-S IEEE Slovenia CIS 11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING 3-6 June 2024, Niš, Serbia

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学校原版美国波士顿大学毕业证学历学位证书原版一模一样

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原版一模一样【微信：741003700 】【美国波士顿大学毕业证学历学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。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，包您满意。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 1:1完美还原海外各大学毕业材料上的工艺：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、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700 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 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

New techniques for characterising damage in rock slopes.pdf

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Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt

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Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications. Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.

Generative AI leverages algorithms to create various forms of content

Hitesh Mohapatra

Embedded machine learning-based road conditions and driving behavior monitoring

IJECEIAES

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.

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A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS

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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.

Harnessing WebAssembly for Real-time Stateless Streaming Pipelines

Christina Lin

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.

Advanced control scheme of doubly fed induction generator for wind turbine us...

IJECEIAES

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.

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