The document discusses a region-based memetic algorithm (RMA-LSCh-CMA) for real-parameter single objective optimization. It compares RMA-LSCh-CMA to a memetic algorithm without regions (MA-LSCh-CMA) on 30 benchmark functions. The results show that RMA-LSCh-CMA has better computational complexity and obtains better results than MA-LSCh-CMA, especially for higher dimensions. For a dimension of 100, RMA-LSCh-CMA is statistically significantly better than MA-LSCh-CMA.
Improving time to-collision estimation by IMM based Kalman filterYixin Chen
The document describes a method for improving time-to-collision (TTC) estimation in collision avoidance systems. It uses an interacting multiple model (IMM) Kalman filter that dynamically combines the outputs of two Kalman filters, one based on a constant velocity motion model and the other based on a constant acceleration model. The IMM estimates the probability of each model and mixes the filter outputs accordingly. It then calculates TTC based on the distance and velocity estimates from the IMM filter. Experimental results on both simulated and real data show the proposed method improves the accuracy of distance and TTC estimation compared to using a single model filter.
CFD Best Practices and Troubleshooting - with speaker notesHashan Mendis
CFD Best Practices and Troubleshooting for FSAE - with speaker notes.
Let me know if you need me to clarify anything, due to work commitments my reply may be slow, email: hashan.mendis@leapaust.com.au
CFD troubleshooting guide, if you having issues on a simulation run through these dot points.
Also check out other articles I wrote on the topic :
Modern CFD tips, tricks and best practices, from someone who sees engineers fall into the same old traps : https://www.linkedin.com/pulse/modern-cfd-tips-tricks-best-practices-from-someone-who-hashan-mendis/
Better meshing using ANSYS Fluent Meshing? : https://www.linkedin.com/pulse/better-meshing-using-ansys-fluent-hashan-mendis/
This document provides a summary of research on solving the simple assembly line balancing problem (SALBP). It begins with an introduction to assembly lines and defining the SALBP. The SALBP involves assigning tasks with precedence constraints and processing times to stations along an assembly line to maximize efficiency. The document then discusses different versions of the SALBP which involve minimizing stations (SALBP-1), minimizing cycle time (SALBP-2), or maximizing efficiency (SALBP-E). It provides an example problem and feasible solution. The remainder of the document surveys solution methods for the different SALBP versions.
This document summarizes a presentation on analyzing the performance of maximal ratio combining (MRC) receivers in κ-μ fading channels with channel estimation error. It introduces κ-μ fading channels and MRC receivers. It then discusses the system model considered which involves MRC reception over L branches experiencing κ-μ fading with MMSE channel estimation. It derives an expression for the effective output signal-to-noise ratio (SNR) of the MRC receiver under channel estimation imperfections. It obtains the moment generating function of the effective SNR using the κ-μ distribution and derives an expression to evaluate the bit error probability of MPSK modulations using a half-plane decision method.
Recent developments in the field of reduced order modeling - and in particular, active subspace construction - have made it possible to efficiently approximate complex models by constructing low-order response surfaces based upon a small subspace of the original high dimensional parameter space. These methods rely upon the fact that the response tends to vary more prominently in a few dominant directions defined by linear combinations of the original inputs, allowing for a rotation of the coordinate axis and a consequent transformation of the parameters. In this talk, we discuss a gradient free active subspace algorithm that is feasible for high dimensional parameter spaces where finite-difference techniques are impractical. We illustrate an initialized gradient-free active subspace algorithm for a neutronics example implemented with SCALE6.1.
This document discusses the design of machine tool gearboxes to provide multiple spindle speeds. It begins with an introduction and overview of how multi-speeds are provided on the spindle shaft through gearing arrangements. The key considerations in gearbox design like selecting optimum speed steps and progressions are explained. Arithmatic and geometric progressions for speed steps are described, with geometric progression being preferred. Methods to determine speed ratios, range ratios, transmission ratios and structural formulae for multi-stage gearboxes are provided. The document aims to provide fundamental concepts and approaches for machine tool gearbox design to achieve multiple spindle speeds.
Improving time to-collision estimation by IMM based Kalman filterYixin Chen
The document describes a method for improving time-to-collision (TTC) estimation in collision avoidance systems. It uses an interacting multiple model (IMM) Kalman filter that dynamically combines the outputs of two Kalman filters, one based on a constant velocity motion model and the other based on a constant acceleration model. The IMM estimates the probability of each model and mixes the filter outputs accordingly. It then calculates TTC based on the distance and velocity estimates from the IMM filter. Experimental results on both simulated and real data show the proposed method improves the accuracy of distance and TTC estimation compared to using a single model filter.
CFD Best Practices and Troubleshooting - with speaker notesHashan Mendis
CFD Best Practices and Troubleshooting for FSAE - with speaker notes.
Let me know if you need me to clarify anything, due to work commitments my reply may be slow, email: hashan.mendis@leapaust.com.au
CFD troubleshooting guide, if you having issues on a simulation run through these dot points.
Also check out other articles I wrote on the topic :
Modern CFD tips, tricks and best practices, from someone who sees engineers fall into the same old traps : https://www.linkedin.com/pulse/modern-cfd-tips-tricks-best-practices-from-someone-who-hashan-mendis/
Better meshing using ANSYS Fluent Meshing? : https://www.linkedin.com/pulse/better-meshing-using-ansys-fluent-hashan-mendis/
This document provides a summary of research on solving the simple assembly line balancing problem (SALBP). It begins with an introduction to assembly lines and defining the SALBP. The SALBP involves assigning tasks with precedence constraints and processing times to stations along an assembly line to maximize efficiency. The document then discusses different versions of the SALBP which involve minimizing stations (SALBP-1), minimizing cycle time (SALBP-2), or maximizing efficiency (SALBP-E). It provides an example problem and feasible solution. The remainder of the document surveys solution methods for the different SALBP versions.
This document summarizes a presentation on analyzing the performance of maximal ratio combining (MRC) receivers in κ-μ fading channels with channel estimation error. It introduces κ-μ fading channels and MRC receivers. It then discusses the system model considered which involves MRC reception over L branches experiencing κ-μ fading with MMSE channel estimation. It derives an expression for the effective output signal-to-noise ratio (SNR) of the MRC receiver under channel estimation imperfections. It obtains the moment generating function of the effective SNR using the κ-μ distribution and derives an expression to evaluate the bit error probability of MPSK modulations using a half-plane decision method.
Recent developments in the field of reduced order modeling - and in particular, active subspace construction - have made it possible to efficiently approximate complex models by constructing low-order response surfaces based upon a small subspace of the original high dimensional parameter space. These methods rely upon the fact that the response tends to vary more prominently in a few dominant directions defined by linear combinations of the original inputs, allowing for a rotation of the coordinate axis and a consequent transformation of the parameters. In this talk, we discuss a gradient free active subspace algorithm that is feasible for high dimensional parameter spaces where finite-difference techniques are impractical. We illustrate an initialized gradient-free active subspace algorithm for a neutronics example implemented with SCALE6.1.
This document discusses the design of machine tool gearboxes to provide multiple spindle speeds. It begins with an introduction and overview of how multi-speeds are provided on the spindle shaft through gearing arrangements. The key considerations in gearbox design like selecting optimum speed steps and progressions are explained. Arithmatic and geometric progressions for speed steps are described, with geometric progression being preferred. Methods to determine speed ratios, range ratios, transmission ratios and structural formulae for multi-stage gearboxes are provided. The document aims to provide fundamental concepts and approaches for machine tool gearbox design to achieve multiple spindle speeds.
Management accounting is a recent term that was coined in the 1950s to describe accounting as an effective management tool. [1] It involves techniques like budgeting, standard costing, and analyzing performance to provide information to assist management with planning, control, and decision making. [2] The objectives of management accounting are to compile plans and budgets, allocate responsibilities, analyze transactions, and present up-to-date financial information to help management evaluate performance and plan for the future. [3] Its scope encompasses financial accounting, cost accounting, budgeting, cost control, statistical analysis, and other areas that provide tools to help managers increase productivity.
Service taxes india and SAP Configuration (TAXINN)Irfan Shokat
This document describes the SAP configuration required to calculate service taxes in India including service tax, education cess, and secondary education cess. The key steps are:
1. Create new condition types for the taxes and maintain tax procedure TAXINN to use the new types.
2. Create account determination procedures and assign G/L accounts for the taxes.
3. Maintain tax rates for the new condition types by linking them to the existing "ST" tax code in FV11.
4. Create a new "S1" tax code to select on invoices so postings show only the "ST" code as configured in FV11.
This allows invoices to correctly calculate total taxes
This document provides instructions for configuring VAT in SAP for an organization called TAXINN. It involves 12 steps to configure the customer master, define new condition types, define accounts, include tables, change pricing procedures, create new document types, number ranges, and billing types. It also provides 8 steps for MM configuration, including creating condition types, transaction keys, defining accounts, and changing tax procedures. Finally, it discusses customizing related to migrating from business place to section code for extended withholding tax in SAP.
This document appears to be related to an SAP query with the number 321. It includes the name of the person who raised the query, Guntupalli Hari Krishna, and references several other SAP queries and components.
Chiquita Brands International is a Cincinnati-based company that is the successor to the United Fruit Company. It produces and distributes bananas and other fresh fruits. The company has been involved in controversies including payment to paramilitary groups in Colombia for protection, bribing officials, and ongoing violations of workers' rights. It was found guilty of paying $1.7 million to paramilitary groups from 1989-2004 and was fined $25 million. The company also bribed officials in Colombia and had to pay a $100,000 penalty. It has been accused of endangering workers' health through pesticide exposure and using militias to intimidate unionizing efforts.
This document provides an overview of topics related to accounting and finance for bankers, including partnership accounts, company accounts, balance sheet equations, and accounting in a computerized environment. It discusses key concepts such as types of partnerships, methods of calculating goodwill, final accounts for banking companies, asset classification, and the basics of computerized accounting systems.
The document is a training session on using SAP for material masters and purchase requisitions. It introduces material masters and how they are used to identify materials, discusses how to create, change and display material master records, and covers how to create, change and display purchase requisitions to request materials not currently in stock. The training provides transaction codes for key tasks.
The supply chain is defined as the network of organizations involved in processes and activities that produce value for the ultimate customer. Supply chain management (SCM) involves flows of materials, money, and information through procurement, manufacturing, distribution, and customer processes. Effective SCM can provide benefits like reduced costs, improved service levels, business growth opportunities, and preferred supplier status. Key elements of SCM include inventory management, warehousing, and transportation.
Scenarios define which fields are updated in ledgers during a posting from other application components. The standard SAP scenarios update fields like cost center, consolidation information, business area, profit center, and segment. Scenarios must be assigned to ledgers to determine which fields are updated when posting documents to that ledger.
The document provides information about the Certified Management Accountant (CMA) certification. The CMA credential demonstrates command of critical accounting and financial management skills demanded by businesses. It is designed specifically for accounting and financial professionals. The advantages of obtaining a CMA include worldwide recognition, career opportunities, higher salaries, and pride in a highly acclaimed certification. EMERGE Management Training Center offers CMA exam preparation courses in Dubai and discusses the benefits of their program, including interactive lectures and study materials.
The document discusses SAP's Joint Venture Accounting (JVA) software for tracking expenditures in joint ventures in the oil and gas industry. It states that SAP JVA allows users to track expenditures on a venture-by-venture and partner-by-partner basis in real-time. It is fully integrated with SAP modules like FI, CO, AM, MM, PP, and PS. Key features include detailed data capture, cash calls, partner billing, overhead calculations, and multi-currency support. The software also supports equity changes, farm-ins/farm-outs, and real-time gross/net venture reporting.
Strategic Management Accounting for Business and Career SuccessKen Witt
Identifies the skills and competencies that accountants need in order to contribute to the strategic success of their employer in a complex, global business environment.
This document provides procedures for materials management and procurement processes. It contains sections on procurement of local and imported stock materials, including creating purchase requisitions and orders, receiving goods, invoice verification, returns, and reversals. The document includes prerequisites, steps, and examples for each major process.
This document appears to be a record of transactions for commodities and stocks made between November 6th and 27th. It includes details of the script/stock, transaction date, buy/sell indicator, buy and sell rates, profits/losses for each transaction, and running totals of profits. The transactions resulted in a total profit of Rs. 138,850 over the period according to the document.
The Controlling module in SAP provides management with supporting information for planning, reporting, and monitoring business operations. It includes components like cost element accounting, cost center accounting, internal orders, activity-based costing, product cost controlling, profitability analysis, and profit center accounting. Maintaining controlling areas and number ranges are important setup steps in the Controlling module configuration. A controlling area can include one or multiple company codes that use the same chart of accounts. Number ranges need to be defined for controlling documents like cost centers, internal orders, and product cost estimates.
PAÍS VERSIÓN INDIA, PAYS VERSION INDE, 国家版印度
CIN Domain Basic concepts
FI consultant steps in CIN configuration
CIN VS Service Tax
CIN VS TDS
CIN MM Configuration Steps
CIN SD Configuration Steps
J1I9 CIN Number range objects
Master Data for CIN
MM CYCLES
DEPOT PLANTS
CIN TABLES
CIN Forms
CIN NOTES
CIN ACCOUNTING ENTRIES
UTILIZATION
CIN/VAT/TDS/SERVICE -TAX List of Reports
TAXINN VS TAXINJ
CAPITAL Procurement in SAP
SD CYCLES
Miscellaneous Topics
The document provides an overview of SAP FICO interview questions and answers related to enterprise structure, the general ledger, accounts receivable, accounts payable, and invoice verification. Key points include how company codes, controlling areas, and fiscal years are configured, the purpose of document types and financial statement versions, and the process for invoice verification from goods receipt to invoice posting. It encourages visiting sap-topjobs.com for additional SAP consulting resources and training.
15 - Introduction to Optimization Tools Rev A.pptMohamedShabana37
This document provides an overview of TEMS Investigation and TEMS Visualization, two optimization tools from Ericsson. TEMS Investigation allows users to collect, analyze, and post-process network data to verify and optimize UMTS, GSM, GPRS, and EDGE networks. It helps troubleshoot issues like dropped calls, coverage imbalance, pilot pollution and missing neighbors. TEMS Visualization analyzes statistics from Ericsson's OSS to identify problems like missing neighbors, pilot polluters and call issues using a call event analyzer and other features. The document describes the capabilities and interface of both tools.
1) Timing closure is becoming increasingly challenging due to rising complexity in chip designs including more process variations, operational modes, and timing scenarios.
2) Traditional multi-machine signoff approaches are inefficient for advanced nodes below 28nm. A new single-machine timing closure approach enables concurrent multi-mode multi-corner analysis and layout-aware ECO optimization.
3) Tight integration of placement and routing, statistical timing analysis, and extraction allows for faster turnaround times, more accurate signoff, and reduced design margins and ECO cycles.
Management accounting is a recent term that was coined in the 1950s to describe accounting as an effective management tool. [1] It involves techniques like budgeting, standard costing, and analyzing performance to provide information to assist management with planning, control, and decision making. [2] The objectives of management accounting are to compile plans and budgets, allocate responsibilities, analyze transactions, and present up-to-date financial information to help management evaluate performance and plan for the future. [3] Its scope encompasses financial accounting, cost accounting, budgeting, cost control, statistical analysis, and other areas that provide tools to help managers increase productivity.
Service taxes india and SAP Configuration (TAXINN)Irfan Shokat
This document describes the SAP configuration required to calculate service taxes in India including service tax, education cess, and secondary education cess. The key steps are:
1. Create new condition types for the taxes and maintain tax procedure TAXINN to use the new types.
2. Create account determination procedures and assign G/L accounts for the taxes.
3. Maintain tax rates for the new condition types by linking them to the existing "ST" tax code in FV11.
4. Create a new "S1" tax code to select on invoices so postings show only the "ST" code as configured in FV11.
This allows invoices to correctly calculate total taxes
This document provides instructions for configuring VAT in SAP for an organization called TAXINN. It involves 12 steps to configure the customer master, define new condition types, define accounts, include tables, change pricing procedures, create new document types, number ranges, and billing types. It also provides 8 steps for MM configuration, including creating condition types, transaction keys, defining accounts, and changing tax procedures. Finally, it discusses customizing related to migrating from business place to section code for extended withholding tax in SAP.
This document appears to be related to an SAP query with the number 321. It includes the name of the person who raised the query, Guntupalli Hari Krishna, and references several other SAP queries and components.
Chiquita Brands International is a Cincinnati-based company that is the successor to the United Fruit Company. It produces and distributes bananas and other fresh fruits. The company has been involved in controversies including payment to paramilitary groups in Colombia for protection, bribing officials, and ongoing violations of workers' rights. It was found guilty of paying $1.7 million to paramilitary groups from 1989-2004 and was fined $25 million. The company also bribed officials in Colombia and had to pay a $100,000 penalty. It has been accused of endangering workers' health through pesticide exposure and using militias to intimidate unionizing efforts.
This document provides an overview of topics related to accounting and finance for bankers, including partnership accounts, company accounts, balance sheet equations, and accounting in a computerized environment. It discusses key concepts such as types of partnerships, methods of calculating goodwill, final accounts for banking companies, asset classification, and the basics of computerized accounting systems.
The document is a training session on using SAP for material masters and purchase requisitions. It introduces material masters and how they are used to identify materials, discusses how to create, change and display material master records, and covers how to create, change and display purchase requisitions to request materials not currently in stock. The training provides transaction codes for key tasks.
The supply chain is defined as the network of organizations involved in processes and activities that produce value for the ultimate customer. Supply chain management (SCM) involves flows of materials, money, and information through procurement, manufacturing, distribution, and customer processes. Effective SCM can provide benefits like reduced costs, improved service levels, business growth opportunities, and preferred supplier status. Key elements of SCM include inventory management, warehousing, and transportation.
Scenarios define which fields are updated in ledgers during a posting from other application components. The standard SAP scenarios update fields like cost center, consolidation information, business area, profit center, and segment. Scenarios must be assigned to ledgers to determine which fields are updated when posting documents to that ledger.
The document provides information about the Certified Management Accountant (CMA) certification. The CMA credential demonstrates command of critical accounting and financial management skills demanded by businesses. It is designed specifically for accounting and financial professionals. The advantages of obtaining a CMA include worldwide recognition, career opportunities, higher salaries, and pride in a highly acclaimed certification. EMERGE Management Training Center offers CMA exam preparation courses in Dubai and discusses the benefits of their program, including interactive lectures and study materials.
The document discusses SAP's Joint Venture Accounting (JVA) software for tracking expenditures in joint ventures in the oil and gas industry. It states that SAP JVA allows users to track expenditures on a venture-by-venture and partner-by-partner basis in real-time. It is fully integrated with SAP modules like FI, CO, AM, MM, PP, and PS. Key features include detailed data capture, cash calls, partner billing, overhead calculations, and multi-currency support. The software also supports equity changes, farm-ins/farm-outs, and real-time gross/net venture reporting.
Strategic Management Accounting for Business and Career SuccessKen Witt
Identifies the skills and competencies that accountants need in order to contribute to the strategic success of their employer in a complex, global business environment.
This document provides procedures for materials management and procurement processes. It contains sections on procurement of local and imported stock materials, including creating purchase requisitions and orders, receiving goods, invoice verification, returns, and reversals. The document includes prerequisites, steps, and examples for each major process.
This document appears to be a record of transactions for commodities and stocks made between November 6th and 27th. It includes details of the script/stock, transaction date, buy/sell indicator, buy and sell rates, profits/losses for each transaction, and running totals of profits. The transactions resulted in a total profit of Rs. 138,850 over the period according to the document.
The Controlling module in SAP provides management with supporting information for planning, reporting, and monitoring business operations. It includes components like cost element accounting, cost center accounting, internal orders, activity-based costing, product cost controlling, profitability analysis, and profit center accounting. Maintaining controlling areas and number ranges are important setup steps in the Controlling module configuration. A controlling area can include one or multiple company codes that use the same chart of accounts. Number ranges need to be defined for controlling documents like cost centers, internal orders, and product cost estimates.
PAÍS VERSIÓN INDIA, PAYS VERSION INDE, 国家版印度
CIN Domain Basic concepts
FI consultant steps in CIN configuration
CIN VS Service Tax
CIN VS TDS
CIN MM Configuration Steps
CIN SD Configuration Steps
J1I9 CIN Number range objects
Master Data for CIN
MM CYCLES
DEPOT PLANTS
CIN TABLES
CIN Forms
CIN NOTES
CIN ACCOUNTING ENTRIES
UTILIZATION
CIN/VAT/TDS/SERVICE -TAX List of Reports
TAXINN VS TAXINJ
CAPITAL Procurement in SAP
SD CYCLES
Miscellaneous Topics
The document provides an overview of SAP FICO interview questions and answers related to enterprise structure, the general ledger, accounts receivable, accounts payable, and invoice verification. Key points include how company codes, controlling areas, and fiscal years are configured, the purpose of document types and financial statement versions, and the process for invoice verification from goods receipt to invoice posting. It encourages visiting sap-topjobs.com for additional SAP consulting resources and training.
15 - Introduction to Optimization Tools Rev A.pptMohamedShabana37
This document provides an overview of TEMS Investigation and TEMS Visualization, two optimization tools from Ericsson. TEMS Investigation allows users to collect, analyze, and post-process network data to verify and optimize UMTS, GSM, GPRS, and EDGE networks. It helps troubleshoot issues like dropped calls, coverage imbalance, pilot pollution and missing neighbors. TEMS Visualization analyzes statistics from Ericsson's OSS to identify problems like missing neighbors, pilot polluters and call issues using a call event analyzer and other features. The document describes the capabilities and interface of both tools.
1) Timing closure is becoming increasingly challenging due to rising complexity in chip designs including more process variations, operational modes, and timing scenarios.
2) Traditional multi-machine signoff approaches are inefficient for advanced nodes below 28nm. A new single-machine timing closure approach enables concurrent multi-mode multi-corner analysis and layout-aware ECO optimization.
3) Tight integration of placement and routing, statistical timing analysis, and extraction allows for faster turnaround times, more accurate signoff, and reduced design margins and ECO cycles.
The document summarizes an intern's work on an EMS engineering internship. It discusses their tasks analyzing transformer tap positions and voltage/VAR performance across different utility areas, identifying issues affecting state estimator residuals. Notable findings included improved residuals from setting transformer taps to nominal values and enabling tap estimation. However, tap estimation worsened residuals for some utilities with low observability. The intern highlighted areas for further model and measurement improvements and automated their analysis for future use.
LVTS - Image Resolution Monitor for Litho-MetrologyVladislav Kaplan
Significant challenges for various Critical Dimension (CD) measurement matching procedures are reaching a comparable complexity as result of negative effects of roughness on the features. Due to the constant trend of integrated circuit in features reduction, impact of roughness start to be more destructive for various sets of measurement algorithms. Commonly used attempts to increase magnification for pattern recognition in measurement mode could in turn detect higher deviation from predefined patterns and thus initiate shift in placement of measurement gate. The purpose of this paper is to discuss how to reduce measurement gate (MG) placement variation impact and filter acquired data using edge correlation approach. The essence of listed above approach is to create set of width correlation function represents particular feature under test and compare it to “golden” one as a mean of detection of uncorrelated scans, which in turn should be excluded from overall computation of matching results. We describe general approach for algorithm stepping and various techniques for judgment of measurement comparison validity. Presented approach also has particular interest in determination of specified tool performance for predefined pattern recognition feature as well as for pattern recognition algorithm robustness study - direct interest for manufacturer. Precise matching estimation as part of Round Robin (RR) routines creating possibility to work with restricted amount of data and perform quick reliable qualification procedures. This paper concentrated on practical approach and used both simulation and actual data measurements data before and after proposed optimization taken by various generation tools by Hitachi (S-8840, S-9300, S-9380) in production environment
This document discusses how to calculate channel element (CE) utilization in an Ericsson radio base station. It defines CEs and provides the CE ladder for different hardware. It explains how HSDPA/HSUPA uses CEs and provides methods to calculate utilization using TrigAcc/TrigScan counters by measuring CE usage or using the pmUlCredits/pmDlCredits pdf counters to calculate the mean utilization. The document also compares the measurement methods and analyzes CE utilization in relation to call setup failures due to lack of hardware resources.
Low cost high-performance vlsi architecture for montgomery modular multiplica...jpstudcorner
The document proposes a low-cost and high-performance Montgomery modular multiplication algorithm and VLSI architecture. It uses a single-level carry-save adder to perform additions, reducing carry propagation and improving speed but requiring extra clock cycles. To address this, it introduces a configurable carry-save adder that can reduce the extra clock cycles by half. It also detects unnecessary additions to further improve throughput while maintaining short critical path delays. Experimental results show improved performance and area-time efficiency over previous designs.
This document appears to be an assignment on link adaptation and adaptive modulation and coding. It contains chapters on coding gain and BER, modulation gain and BER, adapting energy per bit, adapting coding technique, and adapting modulation technique. It also includes algorithms and flow charts for adapting energy per bit and coding/modulation techniques. The goal is to dynamically select modulation, coding, and transmission power based on changing channel conditions to optimize throughput while maintaining a target BER.
Dynamic Music Emotion Recognition Using State-Space Modelsmultimediaeval
This document describes research on dynamic music emotion recognition using state-space models. It focuses on two subtasks: feature development for static affect prediction and new modeling approaches for dynamic affect prediction. The researchers extract audio features from music clips and use Kalman filters and Gaussian process state-space models to model the affect trajectories over time. They train and evaluate the models on development and test datasets, finding that clustering the training data improves results and that Kalman filters and Gaussian process models perform similarly, with Gaussian processes slightly better for valence estimation. Baseline audio features also perform relatively well compared to other features.
The document provides an overview of a tutorial on using the GROMACS-CP2K interface for QM/MM simulations. It outlines the key components covered in the tutorial, including a recap of Quickstep and GEEP methods, an overview of the GROMACS-CP2K interface, how to set up a QM/MM calculation using the interface, details on CP2K input and output files, and examples of applications and features. The tutorial will guide participants through exercises using the interface to perform a QM/MM calculation and umbrella sampling simulation of stilbene isomerization.
This document outlines a Lean Six Sigma project to reduce variation in man-hour rates for tenders submitted by Consolidated Contractors Company's electromechanical estimation department. The project utilized Six Sigma tools like SIPOC, process mapping, FMEA, and process capability analysis to analyze current performance and identify sources of variation. Improvements like establishing a shared man-hour rate database reduced variation and improved consistency and cost-effectiveness. Standardizing processes and continuously updating the database will sustain gains.
This document is a thesis submitted by Mohammed Abuibaid to Kocaeli University regarding adaptive beam-forming. It discusses various beam-forming techniques including switched array antennas, DSP-based phase manipulation, and beamforming by precoding. It also covers adaptive beamforming algorithms such as LMS, NLMS, RLS, and CM. Various beam patterns generated by these algorithms are presented. The document motivates the need for adaptive beamforming and 3D beamforming to improve energy efficiency in wireless networks.
1) The document presents frameworks for optimal adaptation in autonomic web processes that have inter-service dependencies. It describes two approaches: M-MDP which uses a centralized Markov decision process and MDP-COM which uses a decentralized approach with local Markov decision processes and a coordination mechanism.
2) The supply chain example involves ordering computer parts from suppliers, with the goal of minimizing costs and response times while maintaining compatibility between parts. External events like delivery delays require adaptation.
3) The approaches were tested on a supply chain process implemented in METEOR-S, comparing performance under different horizons, event probabilities, and numbers of service managers. A hybrid model combining aspects of both approaches was also explored.
An accurate retrieval through R-MAC+ descriptors for landmark recognitionFederico Magliani
The landmark recognition problem is far from being solved, but with the use of features extracted from intermediate layers of Convolutional Neural Networks (CNNs), excellent results have been obtained. In this work, we propose some improvements on the creation of R-MAC descriptors in order to make the newly-proposed R-MAC+ descriptors more representative than the previous ones. However, the main contribution of this paper is a novel retrieval technique, that exploits the fine representativeness of the MAC descriptors of the database images. Using this descriptors called "db regions" during the retrieval stage, the performance is greatly improved. The proposed method is tested on different public datasets: Oxford5k, Paris6k and Holidays. It outperforms the state-of-the- art results on Holidays and reached excellent results on Oxford5k and Paris6k, overcame only by approaches based on fine-tuning strategies.
Sample-by-sample and block-adaptive robust constant modulus-based algorithmsDr. Ayman Elnashar, PhD
In this study, a robust sample-by-sample linearly constrained constant modulus algorithm (LCCMA) and a robust adaptive block-Shanno constant modulus algorithm (BSCMA) are developed. The well-established quadratic inequality constraint approach is exploited to add robustness to the developed algorithms. The LCCMA algorithm is implemented using a fast steepest descent adaptive algorithm, whereas the BSCMA algorithm is realised using a modified Newton’s algorithm without the inverse of Hessian matrix estimation. The developed algorithms are exercised to cancel the multiple access interference in a loaded direct sequence code division multiple access (DS/CDMA) system. Simulations are presented in a rich multipath environment with a severe near-far effect to evaluate the robustness of the proposed DS/CDMA detectors. Finally, a comprehensive comparative analysis between the sample-by-sample and block-adaptive constant modulus-based detectors is presented. It has been demonstrated that the developed robust BSCMA detector offers rapid convergence speed and very low computational complexity, whereas the developed robust LCCMA detector engenders about 5 dB improvement in the output signal-to-interference-plus-noise ratio over the BSCMA detector.
- Six Sigma is a quality methodology that aims for near perfection with 3.4 defects per million opportunities. It was developed by Motorola in 1987.
- Key concepts include process capability index (Cp), process variation, and specification limits. A Cp of 2.0 or higher is needed to achieve Six Sigma quality.
- The DMAIC methodology is used for improving existing processes and focuses on defining problems, measuring processes, analyzing causes, improving processes, and controlling future performance. DFSS designs new processes at Six Sigma quality levels using approaches like DMADV.
Javier Garcia - Verdugo Sanchez - Six Sigma Training - W1 Process CapabilityJ. García - Verdugo
The document discusses process capability analysis and metrics. It provides information on calculating and interpreting process capability ratios Cp and Cpk using Minitab. Key steps in building a capability study include identifying rational subgroups, collecting a short-term dataset of 30-50 points, and analyzing the data to determine if the process is stable and normally distributed. Process capability can be estimated using pooled standard deviation for potential capability or overall standard deviation for true process capability.
A Projection Method Based Fast Transient Solver for Incompressible Turbulent ...Applied CCM Pty Ltd
We present a fast transient solver suitable for the simulation of transient turbulent flows. The main characteristic of the solver is that it is based on the projection method and requires only one pressure and the momentum solve per time step. Furthermore, using the projection method has the additional advantage that
the formulation of the pressure equation is particularly efficient because the Laplacian term depends only on geometric quantities. This improves the parallel scalability of the Algebraic Multigrid Method (AMG) because the coarse agglomeration levels can be cached if the grid is not changing and are consistent throughout each time step. The fractional step error near the boundaries is removed by utilising the incremental version of the algorithm. The solver is implemented for the freely available Caelus computational mechanics library. Accuracy and performance of the solver was investigated through several validation cases. The results indicate the solver is both accurate and has excellent computational efficiency.
IRJET- The RTL Model of a Reconfigurable Pipelined MCMIRJET Journal
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RMA-LSCh-CMA, presentation for WCCI'2014 (IEEE CEC'2014)
1. Inuence of regions on the memetic
algorithm
on Real-Parameter Single Objective Optimisation
Daniel Molina1 Benjamin Lacroix2 Francisco Herrera2
1Computer Science, University of Cádiz
2CCIA Deparment, University of Granada
CEC'2014, 9 July 2014
http://sci2s.ugr.es
2. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
Outline
1 Introduction
2 Niching technique: Regions
3 MA-LSCh-CMA
4 RMA-LSCh-CMA
5 Comparisons and results
3. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
Real-parameter single optimisation
Optimisation problems
Global Optima f (x∗
) ≤ f (x)∀x ∈ Domain
Real-parameter Optimisation Domain ⊆ D,
x∗
= [x1, x2, · · · , xD]
Single objective optimisation
An objective/tness function to optimise.
Interested in obtaining only one optimum.
4. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
Memetic Algorithms
Memetic Algorithms for continuous optimisation
Algorithm responsible of the Global Search, exploration.
Local Search Method that renes solutions obtained for
accuracy.
+
8. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
MAs and diversity
To improve the search
LS method should explore in nearly area.
GS algorithm should be focused in exploration.
10. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
Niching technique: Clearing
Problems related with clearing
Expensive (Euclidean distance).
Very sensitive to the niche radio.
11. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
Niching Technique: Regions
Proposal
Divide the domain search in hypercubes, regions.
Only one solution (best) is accepted in one hypercube.
Euclidean distance niches Regions
12. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
Advantages Regions
Region vs distance niching
Simple and quick (no euclidean distance).
13. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
Advantages Regions
Region vs distance niching
Simple and quick (no euclidean distance).
Easy to divide them in smaller hypercubes.
14. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
Region Based Algorithm
Global Search
Only best solution for each region is accepted.
Local Search
Initial LS depth in function the region size.
To explore mainly inside the region.
Regions size
Size of regions is getting smaller during the search.
15. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
In this work
Multimodal optimisation: obtain many optima
RMA-LSCh-CMA, a MA based on regions.
Good results in niching competition (CEC'2013).
Questions for simple optimisation: only one optimum
Improve results for simple optimisation?
Improvement in computer time?
16. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
In this work
Multimodal optimisation: obtain many optima
RMA-LSCh-CMA, a MA based on regions.
Good results in niching competition (CEC'2013).
Questions for simple optimisation: only one optimum
Improve results for simple optimisation?
Improvement in computer time?
MA-LSCh-CMA vs RMA-LSCh-CMA
CEC'2014 benchmark with RMA-LSCh-CMA.
Compare RMA-LSCh-CMA vs MA-LSCh-CMA (no
regions).
17. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
MA-LSCh-CMA
MA-LSCh-CMA
Adapt the LS depth for each solution.
Good results in continuous optimisation.
Features
An Genetic Algorithm as Global Search algorithm.
CMA-ES as Local Search algorithm.
It can apply the LS several times on the same solution.
More promising solutions ⇒ plus LS runs ⇒
⇒ Greater LS depth.
Reference
D. Molina, M. Lozano, C. García-Martínez, F. Herrera. Memetic Algorithms for Continuous Optimization
Based on Local Search Chains. Evolutionary Computation, 18(1), 27-63, 2010.
18. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
MA-LSCh-CMA
A promising solution
It is maintained more time in population.
It can be improved by LS more times.
19. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
MA-LSCh-CMA
LS Chaining
LS continues (LS parameters values) ⇒ more LS depth.
20. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
RMA-LSCh-CMA: Global Search algorithm
Apply crossover
and mutation
Select two
Parents
Ioff
Add Current
Population
New Random
Solution
¿Stopping
Criterion?
¿loff better
than worst?
Replace worst
individual
-
Stop
No
No
Yes
New Random
Solution
Region
Occuped?
No
No
Improve
previous?
Replace worst
individual
Yes
Yes
Mute new
solution
Ioff
Ioff
Ioff
Region
Occuped?
Region
Occuped?
21. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
RMA-LSCh-CMA: LS Application
Original Model
LS Intensity in function of the solution.
Improvement solutions always replaces previous one.
Region model
LS Intensity in function of the solution.
If LS result in one region, maintain only the best solution.
A randomly new solution is generated.
22. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
RMA-LSCh-CMA: Regions division
Region division
Each dimension is divided in ND regions.
After each 25% evaluations, ND = 2 · ND.
23. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
RMA-LSCh-CMA: Regions division
Region division
Each dimension is divided in ND regions.
After each 25% evaluations, ND = 2 · ND.
24. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
RMA-LSCh-CMA: Regions division
Region division
Each dimension is divided in ND regions.
After each 25% evaluations, ND = 2 · ND.
25. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
Experimentation
Experimental test suite
Used the proposed benchmark in CEC'2014, 30 functions.
Tree unimodal function (f1-3).
Thirteen simple multimodal functionS: f4 − f16.
Six hybrid functions: f17 − f22.
Seven composition functions: f23 − f30.
Dimensions 10, 30, 50, 100.
Two stopping criterions:
Error lower than 10-8.
when MAXFEs is achieved. MaxFEs = 100000 · D.
26. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
Experimentation
Experimental test suite
Used the proposed benchmark in CEC'2014, 30 functions.
Tree unimodal function (f1-3).
Thirteen simple multimodal functionS: f4 − f16.
Six hybrid functions: f17 − f22.
Seven composition functions: f23 − f30.
Dimensions 10, 30, 50, 100.
Two stopping criterions:
Error lower than 10-8.
when MAXFEs is achieved. MaxFEs = 100000 · D.
Computational complexity Error obtained
27. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
Parameters
Parameters values in common
Parameter Name Value
Population size 100
Crossover Operator BLX − 0.5
NNAM 3
Istep 100
δLS 10−8
Parameter values for RMA-LSCh-MA
Parameter Name Value
Initial division number (ND) 10
Number of divisions update 4
Multiplier for each update 2
38. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
RMA-LSCh-CMA: results for dimension 100 (II)
Function Mean Median Std
23 3.483111e+02 3.483129e+02 1.373773e-02
24 3.592935e+02 3.590149e+02 7.535504e+00
25 2.341050e+02 2.368728e+02 1.413945e+01
26 2.000780e+02 2.000692e+02 2.536428e-02
27 9.033352e+02 9.112618e+02 1.235201e+02
28 3.179931e+03 3.288493e+03 5.832432e+02
29 3.275740e+03 3.165691e+03 7.553812e+02
30 9.383213e+03 9.247364e+03 9.434189e+02
39. Introduction Regions MA-LSCh-CMA RMA-LSCh-CMA Results
Conclusions
Conclusions
Based Memetic Algorithm improves results also with only
one global optima.
Improvement in time and errors increases with
dimensionality.
Good results in CEC'2014 benchmark?