The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Hello my friends
Unfortunately, if you want any of these files, please contact me by email and mention any reference you find, to give it to you.
My email: molham.shoriss@outlook.com
LTE
LTE Introduction
LTE Fundamental
LTE RNP Introduction
LTE Principles (Huawei eRAN 3.0)
LTE Access Fault Diagnosis
LTE Access Transport Network Dimensioning
LTE Air Interface ISSUE 1.05
LTE Cell Planning ISSUE1.10
LTE eRAN 3.0 Scheduling - Feature Parameter Description
LTE eRAN3.0 Idle Mode Behavior
LTE eRAN3.0 KPI Introduction
LTE eRAN3.0 - Mobility Management in Connected Mode - Feature Parameters Description
LTE Handover Fault Diagnosis
LTE Network Tuning ISSUE 1.00
LTE Protocols and Procedure
LTE Radio Network Capacity Dimensioning
LTE Radio Network Coverage Dimensioning
LTE Radio Resource Management Overview
LTE Scheduling
LTE (Eicsson)
01.LTE SAE System Overview
LTE 10A Air Interface
LTE L10A Access Transport Network
LTE L10A Radio Network Design
LTE L12 Initial Tuning
LTE L14 Radio Network Functionality LTE
LTE Protocols and Procedures
LTE System Techniques
LTE Throughput Troubleshooting Techniques
LTE Radio Access Radio Interface Dimensioning and Planning
MIMO in WCDMA and LTE
LTE L14 Radio Network Functionality LTE
LTE Huawei
LTE System Overview
LTE Air Interface
LTE Protocols and Signaling Procedures
LTE Network Performance Management (KPIs)
LTE Radio Network Coverage Dimensioning
LTE Cell Planning
LTE Access Fault Diagnosis
LTE Handover Fault Diagnosis
LTE Call Drop Diagnosis
LTE Traffic Fault Diagnosis
LTE Interference Troubleshooting Guide
LTE Optimization
LTE Troubleshooting Access Failures
Features 1. Idle Mode
Features 2. Intra Rat Handover
Features 3. Power Control
Features 4. Scheduling
Features 5. CS Fallback
Features 6. Physical Channel Resource Management
HedEx for LTE
eRAN_eRAN13.0_02_en_GEG09124
5G
5G System Design (Wiley)
HedEx for 5G
(For Engineer) 5G RAN2.0 Solution Technical Guideline
Hello my friends
Unfortunately, if you want any of these files, please contact me by email and mention any reference you find, to give it to you.
My email: molham.shoriss@outlook.com
Hello my friends
Unfortunately, if you want any of these files, please contact me by email and mention any reference you find, to give it to you.
My email: molham.shoriss@outlook.com
LTE
LTE Introduction
LTE Fundamental
LTE RNP Introduction
LTE Principles (Huawei eRAN 3.0)
LTE Access Fault Diagnosis
LTE Access Transport Network Dimensioning
LTE Air Interface ISSUE 1.05
LTE Cell Planning ISSUE1.10
LTE eRAN 3.0 Scheduling - Feature Parameter Description
LTE eRAN3.0 Idle Mode Behavior
LTE eRAN3.0 KPI Introduction
LTE eRAN3.0 - Mobility Management in Connected Mode - Feature Parameters Description
LTE Handover Fault Diagnosis
LTE Network Tuning ISSUE 1.00
LTE Protocols and Procedure
LTE Radio Network Capacity Dimensioning
LTE Radio Network Coverage Dimensioning
LTE Radio Resource Management Overview
LTE Scheduling
LTE (Eicsson)
01.LTE SAE System Overview
LTE 10A Air Interface
LTE L10A Access Transport Network
LTE L10A Radio Network Design
LTE L12 Initial Tuning
LTE L14 Radio Network Functionality LTE
LTE Protocols and Procedures
LTE System Techniques
LTE Throughput Troubleshooting Techniques
LTE Radio Access Radio Interface Dimensioning and Planning
MIMO in WCDMA and LTE
LTE L14 Radio Network Functionality LTE
LTE Huawei
LTE System Overview
LTE Air Interface
LTE Protocols and Signaling Procedures
LTE Network Performance Management (KPIs)
LTE Radio Network Coverage Dimensioning
LTE Cell Planning
LTE Access Fault Diagnosis
LTE Handover Fault Diagnosis
LTE Call Drop Diagnosis
LTE Traffic Fault Diagnosis
LTE Interference Troubleshooting Guide
LTE Optimization
LTE Troubleshooting Access Failures
Features 1. Idle Mode
Features 2. Intra Rat Handover
Features 3. Power Control
Features 4. Scheduling
Features 5. CS Fallback
Features 6. Physical Channel Resource Management
HedEx for LTE
eRAN_eRAN13.0_02_en_GEG09124
5G
5G System Design (Wiley)
HedEx for 5G
(For Engineer) 5G RAN2.0 Solution Technical Guideline
Hello my friends
Unfortunately, if you want any of these files, please contact me by email and mention any reference you find, to give it to you.
My email: molham.shoriss@outlook.com
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
