The document contains sections from a course on logic and logical operators like biconditional, disjunction, conjunction and negation. It includes truth tables to define logical expressions, examples of applying logical operators, and exercises to practice logical equivalence and applications of logical laws.
The document summarizes seismic acquisition and processing parameters for a marine seismic survey conducted off the coast of Newfoundland, Canada between July and October 2015. The survey covered 14,599 km using a 24-bit streamer towed behind the vessel Atlantic Explorer. Initial processing was done by PGS and included noise attenuation, wavefield separation, and extrapolation. Further processing will be done by Arcis to produce outputs such as pre-stack migrated gathers, raw and processed migrations, velocities, and angle stacks.
This document contains 7 logic expressions in propositional logic with their truth tables. Each expression uses propositional variables p, q, r, s and logical operators such as negation, disjunction, conjunction and conditionals. The truth tables show the truth value of each subexpression and the main expression for all possible combinations of truth value assignments to the propositional variables.
Move a position reference frame to the work deck. Presentation by Nicolàs de Hilster (Starmountain Survey and Consultancy) en Erich Gaickhorst (GeoVisie).
The document outlines different types of purchase orders and the accounting entries made during goods receipt and invoice receipt for each. Standard POs involve debiting stock and clearing accounts and crediting the vendor during GR and IR. Subcontracting POs involve additional debit/credit of component and change in stock accounts. Consignment POs do not generate entries on GR but do on transfer to own stock, GI from consignment, and IR to clear liability. Pipeline transactions only generate entries on GI to clear liability. Asset POs debit capital WIP and credit clearing on GR and IR. Service POs debit service expense and credit clearing on SES, then debit tax accounts and credit vendor on IR.
NOTAMs provide information on aviation hazards and include up to 8 items identified by letters. This NOTAM describes airspace restrictions over Turkey that are in effect from March 23-27 and March 31-April 22 from 0530-1430 daily. The restricted airspace is within a 5nm radius of coordinates 4123N 03137E at altitudes between 4500ft and 6000ft above sea level.
This document appears to be from a structural analysis software called ETABS. It references a file called "PART C" that was last modified on January 9, 2017 at 9:22. The document view is a 3-D view displaying results in kgf-m units.
This document is a manufacturing quality plan for distribution transformers for a customer. It outlines 8 key components/operations to be checked including: 1) Raw materials verification, 2) Transformer oil testing, 3) Bought out item verification, 4) Assembly testing including vacuum and pressure tests, 5) Routine testing, 6) Oil sampling, 7) Paint testing, and 8) Final inspection and completeness check. For each item, it specifies the acceptance standards, type of check (e.g. test, verification), responsibility (manufacturer, contractor, customer), and review level (e.g. sample, 100%).
Tandem connectionist anomaly detection: Use of faulty vibration signals in fe...pcl-lab
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This document proposes a method called tandem connectionist anomaly detection that uses faulty vibration data from non-target machines to improve anomaly detection performance on a target machine. The method uses a deep neural network trained on both normal and faulty non-target data to learn discriminative features, which are then used as input to a Gaussian mixture model anomaly detector trained on normal target data. Experiments show this method significantly improves anomaly detection compared to using hand-crafted features or transferring just the detector. It demonstrates the ability to transfer the system between machines of both the same type and different types.
Adaptive training of vibration-based anomaly detector for wind turbine condit...pcl-lab
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Takanori Hasegawa, Jun Ogata, Masahiro Murakawa, Tetsunori Kobayashi, Tetsuji Ogawa, ``Adaptive training of vibration-based anomaly detector for wind turbine condition monitoring,’’ Proc. Annual Conference on PHM Society, pp.177-184, Oct. 2017.
The Uni-Bell PVC Pipe Association (PVCPA) has published the first North American industry-wide environmental product declaration (EPD) for water and sewer piping, and it has been verified by NSF Sustainability, a division of global public health organization NSF International.
INVESTIGATION OF PUEA IN COGNITIVE RADIO NETWORKS USING ENERGY DETECTION IN D...csijjournal
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Primary User Emulation Attack (PUEA) is one of the major threats to the spectrum sensing in cognitive
radio networks. This paper studies the PUEA using energy detection that is based on the energy of the
received signal. It discusses the impact of increasing the number of attackers on the performance of
secondary user. Moreover, studying how the malicious user can emulate the Primary User (PU) signal is
made. This is the first analytical method to study PUEA under a different number of attackers. The
detection of the PUEA increases with increasing the number of attackers and decreases when changing the
channel from lognormal to Rayleigh fading.
Tandem connectionist anomaly detection: Use of faulty vibration signals in fe...pcl-lab
?
This document proposes a method called tandem connectionist anomaly detection that uses faulty vibration data from non-target machines to improve anomaly detection performance on a target machine. The method uses a deep neural network trained on both normal and faulty non-target data to learn discriminative features, which are then used as input to a Gaussian mixture model anomaly detector trained on normal target data. Experiments show this method significantly improves anomaly detection compared to using hand-crafted features or transferring just the detector. It demonstrates the ability to transfer the system between machines of both the same type and different types.
Adaptive training of vibration-based anomaly detector for wind turbine condit...pcl-lab
?
Takanori Hasegawa, Jun Ogata, Masahiro Murakawa, Tetsunori Kobayashi, Tetsuji Ogawa, ``Adaptive training of vibration-based anomaly detector for wind turbine condition monitoring,’’ Proc. Annual Conference on PHM Society, pp.177-184, Oct. 2017.
The Uni-Bell PVC Pipe Association (PVCPA) has published the first North American industry-wide environmental product declaration (EPD) for water and sewer piping, and it has been verified by NSF Sustainability, a division of global public health organization NSF International.
INVESTIGATION OF PUEA IN COGNITIVE RADIO NETWORKS USING ENERGY DETECTION IN D...csijjournal
?
Primary User Emulation Attack (PUEA) is one of the major threats to the spectrum sensing in cognitive
radio networks. This paper studies the PUEA using energy detection that is based on the energy of the
received signal. It discusses the impact of increasing the number of attackers on the performance of
secondary user. Moreover, studying how the malicious user can emulate the Primary User (PU) signal is
made. This is the first analytical method to study PUEA under a different number of attackers. The
detection of the PUEA increases with increasing the number of attackers and decreases when changing the
channel from lognormal to Rayleigh fading.
Algorithm design techniques include:
Brute Force
Greedy Algorithms
Divide-and-Conquer
Dynamic Programming
Reduction / Transform-and-Conquer
Backtracking and Branch-and-Bound
Randomization
Approximation
Recursive Approach
What is an algorithm?
An Algorithm is a procedure to solve a particular problem in a finite number of steps for a finite-sized input.
The algorithms can be classified in various ways. They are:
Implementation Method
Design Method
Design Approaches
Other Classifications
In this article, the different algorithms in each classification method are discussed.
The classification of algorithms is important for several reasons:
Organization: Algorithms can be very complex and by classifying them, it becomes easier to organize, understand, and compare different algorithms.
Problem Solving: Different problems require different algorithms, and by having a classification, it can help identify the best algorithm for a particular problem.
Performance Comparison: By classifying algorithms, it is possible to compare their performance in terms of time and space complexity, making it easier to choose the best algorithm for a particular use case.
Reusability: By classifying algorithms, it becomes easier to re-use existing algorithms for similar problems, thereby reducing development time and improving efficiency.
Research: Classifying algorithms is essential for research and development in computer science, as it helps to identify new algorithms and improve existing ones.
Overall, the classification of algorithms plays a crucial role in computer science and helps to improve the efficiency and effectiveness of solving problems.
Classification by Implementation Method: There are primarily three main categories into which an algorithm can be named in this type of classification. They are:
Recursion or Iteration: A recursive algorithm is an algorithm which calls itself again and again until a base condition is achieved whereas iterative algorithms use loops and/or data structures like stacks, queues to solve any problem. Every recursive solution can be implemented as an iterative solution and vice versa.
Example: The Tower of Hanoi is implemented in a recursive fashion while Stock Span problem is implemented iteratively.
Exact or Approximate: Algorithms that are capable of finding an optimal solution for any problem are known as the exact algorithm. For all those problems, where it is not possible to find the most optimized solution, an approximation algorithm is used. Approximate algorithms are the type of algorithms that find the result as an average outcome of sub outcomes to a problem.
Example: For NP-Hard Problems, approximation algorithms are used. Sorting algorithms are the exact algorithms.
Serial or Parallel or Distributed Algorithms: In serial algorithms, one instruction is executed at a time while parallel algorithms are those in which we divide the problem into subproblems and execute them on different processors.
Indian Soil Classification System in Geotechnical EngineeringRajani Vyawahare
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This PowerPoint presentation provides a comprehensive overview of the Indian Soil Classification System, widely used in geotechnical engineering for identifying and categorizing soils based on their properties. It covers essential aspects such as particle size distribution, sieve analysis, and Atterberg consistency limits, which play a crucial role in determining soil behavior for construction and foundation design. The presentation explains the classification of soil based on particle size, including gravel, sand, silt, and clay, and details the sieve analysis experiment used to determine grain size distribution. Additionally, it explores the Atterberg consistency limits, such as the liquid limit, plastic limit, and shrinkage limit, along with a plasticity chart to assess soil plasticity and its impact on engineering applications. Furthermore, it discusses the Indian Standard Soil Classification (IS 1498:1970) and its significance in construction, along with a comparison to the Unified Soil Classification System (USCS). With detailed explanations, graphs, charts, and practical applications, this presentation serves as a valuable resource for students, civil engineers, and researchers in the field of geotechnical engineering.
The Golden Gate Bridge a structural marvel inspired by mother nature.pptxAkankshaRawat75
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The Golden Gate Bridge is a 6 lane suspension bridge spans the Golden Gate Strait, connecting the city of San Francisco to Marin County, California.
It provides a vital transportation link between the Pacific Ocean and the San Francisco Bay.