The skew lines are sent to a C++ library that facilitates OpenCL to calculate the center points. See More, See Clear with #OPPOReno2 #Quadcam with #20xZoom and capture the magic of the night at a stunning level of clarity with #UltraDarkMode. All numerical experiments were conducted on a Dell T1500 Intel(T) Core i5 Processor with 2.00 GB RAM.

Vessel schedules, produced by GVSPL1 and GVSPL2, were compared in terms of the amount of fuel (both HFO and MGO) consumed by vessels serving the French Asia Line 3 route. As GVSPL2 vessel schedules have lower bunker consumption costs (Section 6/3 and Figure 4) as compared to GVSPL1 vessel schedules, the total bunker consumption was also found to be lower for all the considered problem instances. Matlab 2014a crack only books. Furthermore, numerical experiments demonstrate that GVSPL2 vessel schedules not only required less MGO at voyage legs, passing through ECAs, but also yielded HFO savings. The bunker consumption savings were estimated for all generated problem instances, and results are presented in Figure 6 for HFO and MGO fuel types. We observe that on average, GVSPL2 vessel schedules require 19/6 per cent less HFO and 40/4 per cent less MGO. The MGO savings can be explained by the fact that the liner shipping company was required to decrease the vessel sailing speed (hence, reduce the MGO consumption) at voyage legs, passing through ECAs, to avoid violation of the emission restrictions. In the meantime, introduction of emission restrictions reduced vessel sailing speeds not only (click over here) within ECAs but also at the adjacent voyage legs, which yielded the HFO consumption savings.

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CharlesCXK/Depth2HHA - Use MATLAB (https://longthanhtourist.com/serial-code/?file=1713) to convert depth image into HHA image. In this repo, I will use NYU Depth V2 dataset as an example.

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Moreover, port handling costs are higher for GVSPL2 vessel schedules as compared to GVSPL1 vessel schedules. The latter can be explained by the fact that introduction of emission restrictions would require the liner shipping company to select handling rates with a higher productivity to save time in ports.


We observe that on average, GVSPL1 vessel schedules produced 7/2 kg of SO2, whereas GVSPL2 vessel schedules produced 4/2 kg of SO2. Hence, enforcing emission restrictions within ECAs can significantly reduce the pollution levels.

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Hi - thanks for following up on this here. I should be able to help if you can give me a little more information.


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A vessel sails between two consequent ports i and i + 1 along leg i. It is assumed that certain legs of a liner shipping route pass through ECAs. The subset of voyage legs, passing through ECAs, will be referred to as I*, whereas the rest of voyage legs (passing outside ECAs) will belong to subset I0. Note that I0∪I* = I,I0∩I* = ∅. The liner shipping company should provide service with a certain frequency at each port of call (typically weekly or bi-weekly service). The terminal operator at each port establishes a specific arrival time window – TW [twis– start of TW at port i, twie – end of TW at port i], during which a vessel should arrive at the given port of call. Duration of a TW may vary from one to three days depending on the port (OOCL, 2021). The service of a vessel is assumed to start upon its arrival. If a vessel arrives at port i prior to the start of TW, it will be waiting for service at a dedicated area. A monetary penalty will be imposed on the liner shipping company if a vessel arrives after the end of TW (Dulebenets et al, 2015a). The container demand (measured in TEUs) at each port of call is assumed to be known (Meng et al, 2021).

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The total route service cost and its components were estimated after obtaining the solutions for GVSPL1 and GVSPL2 for each one of the considered problem instances. Results are presented in Figure 4, including the following cost components: the total route service cost, Z; the total weekly vessel operational cost, OC; the total bunker consumption cost, BC; the total port handling cost, PC; the total late arrival penalty, LP; and the total inventory cost, IC.


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IP 25 and HBI IIa) have emerged as useful proxies for sea ice in the Arctic and Antarctic, respectively. P y RIS provides three main computations: (i) detection of planform centerline including complex river patterns, (ii) computation of migration vectors between. Post-acquisition data processing was performed using MEG Tools, an open-source Matlab (The Mathworks Inc, Natick, MA, USA) -based software module for cortical source imaging including single current dipole and multiresolution focal underdetermined system solution (MR-FOCUSS) methods (Moran et al, 2020, Moran et al, 2020, Moran, 2020) (http. Master sushi chef Park Sangha defies all tradition at his ultra-popular, six-seat restaurant Ooshima in Seoul, South Korea. KGP Talkie is the brainchild of an IITian who is offering Free Courses on Python, Data Science, Embedded System, Android Programming, and MATLAB to the thousands of people across the globe. WINDOWS 32 BIT VERSION IS NOT AVAILBLE FOR A. I usually installed both version since many camera drivers only worked with the 32 bit version of Matlab (for.


This is almost fully supported (works in urdf-parsing, DrakeCollision, BotVisualizer). Still need to implement WRL visualization and planar visualization.

Rnissel/FBMC - Compares FBMC to OFDM based schemes. Reproduces all figures from “Filter bank multicarrier modulation schemes for future mobile communications”, IEEE Journal on Selected Areas in Communications, 2021.


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Bsamadi/AUT-USARSim-Toolbox - This toolbox is developed to enable MATLAB (get more info) communicate with USARSim. The code is purely in MATLAB and it has been developed by Sajjad Yazdani and Amin Ranjbar under the supervision of Behzad Samadi at Amirkabir University of Technology (AUT).


Sachinkariyattin/HWCR - Handwritten Character Recognition System using Neural Networks is developed using MATLAB (https://longthanhtourist.com/serial-code/?file=4500) Neural Network and Image Processing tool box. This system has been developed using existing algorithms like Preprocessing and Feature Extraction techniques.

Maritime transportation plays a vital role for international trade. The United Nations Conference on Trade and Development indicates that the international seaborne trade increased to 9/8 billion tons in 2021, as compared to 9/5 billion tons reported in 2021 (UNCTAD, 2021). The containerized cargo increased by 5/6 per cent in tonnage from 2021 to 2021, whereas major bulk and dry cargos increased by 6/5 and 2/4 per cent, respectively (UNCTAD, 2021). In the meantime, maritime transportation is a source of emissions, which may negatively affect both the environment and health of living organisms. Generally, emissions from oceangoing vessels can be categorized in two classes: greenhouse gases and non-greenhouse gases. Greenhouse gases cause changes in climate and are mainly represented with the following pollutants: carbon dioxide – CO2, nitrous oxide – N2O and methane – CH4 (Psaraftis and Kontovas, 2021). International Maritime Organization (IMO) underlines that approximately 2/2 per cent of the overall emitted CO2 in the world is produced by the maritime sector (IMO, 2021).


Digital cameras often do proprietary image processing between the light entering the sensors and the image is compressed and stored. Cameras use color filter arrays where each pixel has just one color (red, green or blue) sensor. The camera must estimate the other two colors from the neighboring sensors - this process is called demosaicing. We attempt to create attributes related to the demosaicing algorithm by computing statistics of how pixel colors relate to their neighbors. We create a classifier from these attributes and report on initial results.

The problem of vessel scheduling in liner shipping receives a constant attention from the research community. The vessel scheduling problem is a tactical-level decision problem, which aims to determine the vessel sailing speeds at voyage legs of the liner shipping route, arrival times at ports of call of the given port rotation, vessel handling and departure times (Meng et al, 2021). The literature review presented herein will focus on environmental considerations in vessel scheduling. The collected studies can be classified in two groups. The first group of studies presents either theoretical or analytical research and discusses environmental concerns in vessel scheduling but does not provide any mathematical models that may capture those environmental concerns. The second group of studies presents models that can be used by liner shipping companies in design of green vessel schedules. The review of both study groups is presented next.


Kamu/ocw-assignments - Various assignments I have completed for OpenCourseWare that I have viewed. Feel free to correct me and point out bugs!

Antonl/VTrack - A particle tracker written in MATLAB utilizing the Image Capture and Processing toolkits. Written for Dr Visscher's lab at the University of Arizona.


Davidvarga/MBeautifier - MBeautifier is a MATLAB source code formatter, beautifier. It can be used directly in the MATLAB (source) Editor and it is configurable.

Mscavnicky/copula-matlab - Collection of MATLAB (https://longthanhtourist.com/serial-code/?file=6818) scripts for working with probability objects called copulas. Contains support for HAC copulas.


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Rudiment-Info/arcade - The ARtillery Crater Analysis and Detection Engine (ARCADE) is an experimental computer vision application built using MATLAB. ARCADE scans satellite imagery for signs of artillery bombardment, geocodes artillery blast craters, and will ultimately calculate the inbound trajectory of projectiles.


Kstock/HERC-Handwritten-Equation-Recognition-Classification - While handwriting provides an efficient means to write mathematical symbols quickly, it is a poor medium for rapid exchange and editing of documents. Meanwhile, advanced typesetting systems like LaTeX and MathML have provided an environment where mathematical symbols can be typeset with precision, but at the cost of typing time and a steep learning curve. In order to facilitate the exchange, preservation and ease of editing of mathematical documents, we propose a method of offline handwritten equational recognition. Our system takes a handwritten document, for example a students calculus homework, then partitions, classifies and parses the document into LaTeX.

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Who knew backyard games and corn hole on a GIANT water slide could be this fun! Although EEG research has been mostly applied in laboratory. West North Temple Salt Lake City, UT 84150 801-240-0075. Ebola virus disease is an often fatal disease of humans that is not vaccine-preventable and has no specific treatment. For tutoring please call 856.777.0840 I am a recently retired registered nurse who helps nursing students pass their NCLEX. However, palaeoclimate data have generally been archived with insufficient standardisation and metadata to allow for transparent and consistent uncertainty assessment in an automated way.


Nasa/T-MATS - An open source thermodynamic modeling package completed on behalf of NASA. The Toolbox for the Modeling and Analysis of Thermodynamic Systems (T-MATS) package offers a MATLAB (https://longthanhtourist.com/serial-code/?file=8809)/Simulink toolbox that gives a developer the ability to create simulations of such thermodynamic systems as turbomachinery and gas turbines.

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Ggscorzato/MatlabMonteCarlo - A parallel Lattice QCD code in Matlab (my company). The goal is simplicity, generality, elegance, without orders of magnitude loss in performance.

Emissions produced by oceangoing vessels not only negatively affect the environment but also may deteriorate health of living organisms. Several regulations were released by the International Maritime Organization (IMO) to alleviate negative externalities from maritime transportation. Certain polluted areas were designated as “Emission Control Areas” (ECAs). However, IMO did not enforce any restrictions on the actual quantity of emissions that could be produced within ECAs. This paper aims to perform a comprehensive assessment of advantages and disadvantages from introducing restrictions on the emissions produced within ECAs. Two mixed-integer non-linear mathematical programs are presented to model the existing IMO regulations and an alternative policy, which along with the established IMO requirements also enforces restrictions on the quantity of emissions produced within ECAs. Matlab 2014a crack only s. A set of linearization techniques are applied to linearize both models, which are further solved using the dynamic secant approximation procedure. Numerical experiments demonstrate that introduction of emission restrictions within ECAs can significantly reduce pollution levels but may incur increasing route service cost for the liner shipping company.


The existing IMO regulation requires that the sulfur content in the fuel cannot exceed 0/1 per cent when passing through SOx ECAs (IMO, 2016a). This study assumes that the vessels use Marine Gas Oil (MGO) with sulfur content Pi = 0/1%∀i ∈ I* at voyage legs passing through ECAs. At the rest of voyage legs, the vessels use Heavy Fuel Oil (HFO) with sulfur content Pi = 3/5%∀i ∈ I0. Furthermore, the diesel engines of vessels, deployed at the given liner shipping route, comply with Tier III limits in case of ECAs with restrictions on NOx emissions.

Rasmusbergpalm/DeepLearnToolbox - Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.


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DSA was compared against SSA with m = 100 segments. A total of 20 instances were developed using the data, described in Section 6/1 and presented in Table I, by changing the service TWs at ports and TW duration. The target accuracy for DSA was set to Δt = 0/1%.


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Based on the established IMO regulations, the North Sea and the English Channel were designated as SOx ECAs for the considered liner shipping route (IMO, 2016a). The restrictions on quantity of SO2 emissions produced at voyage legs passing through ECAs were assigned as follows: RSO2i = 0/02Piγli(U[vmin; vmax])a−1/24∀i∈I* tons. The vessel handling cost per TEU scis at port i under handling rate s was estimated as: scis = mhc±U[0; 50]∀i∈I, s∈Si USD/TEU, where mhc is the mean handling cost. Then, the overall port handling cost was computed as: tcis = scisNCi∀i∈I,s∈Si USD. The mhc was set equal to [700; 625; 550; 475] USD/TEU for four available handling rates, respectively (World Bank, 2021; The Port Authority of New York and New Jersey, 2021; Dulebenets et al, 2015b).

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Michaelchughes/NPBayesHMM - Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP-HMM).

ReviewThe future of coastal and estuarine modeling: Findings from a workshop

NeuroStats/Survival - Matlab (https://longthanhtourist.com/serial-code/?file=2743) toolbox for Survival (time-to-event) analysis. Implements both univariate and mass-univariate analyses.


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This work was partially supported by the Department of Civil Engineering at the University of Memphis (Memphis, TN) and the Department of Civil and Environmental Engineering at the Florida A&M University – Florida State University (Tallahassee, FL). Any opinions, findings, conclusions, or recommendations are those of the author and do not necessarily reflect the views of the aforementioned organizations.


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Onlymag4u/UFLDL_SparseAutoencoder - An unsupervised learning algorithm that applies back propagation, setting the target values to be equal to the inputs. Also, we impose a sparsity constraint on the hidden units, then the autoencoder will still discover interesting structure in the data, even if the number of hidden units is large.

The above mentioned decisions that have to be made by the liner shipping company in this problem are interrelated. Before deciding on a vessel sailing speed at a given voyage leg, the liner shipping company should consider the limits on vessel sailing speed (vmin ≤ vi ≤ vmax∀i ∈ I), bunker consumption, inventory costs, vessel emissions and emission restrictions within ECAs. The liner shipping company may use the concept of slow steaming to reduce bunker consumption and associated emissions. The latter will increase the total transit time of containers and will require deployment of more vessels to ensure that the weekly service is provided at each port of the port rotation. In the meantime, the liner shipping company must account for the limit on quantity of vessels (q ≤ qmax) allocated for service of the given liner shipping route.


Sciguy14/Nerf-Sentry-Gun - The Nerf Sentry Gun uses Scale Invariant Feature Transform via MATLAB to perform badge recognition of room entrants and fire upon those who don't have access! Using motion tracking, it can follow the intruder and fire darts at them. Images of the intruder are uploaded to the web and tweeted.

Many of the collected articles discussed application of the “slow steaming” concept to reduce CO2 emissions. Corbett et al. (2009) assessed efficiency of slow steaming in reduction of emissions from vessels. Findings indicated that fuel tax of $150 per ton might decrease CO2 emissions by up to 30 per cent. Furthermore, slow steaming was found to be an effective alternative in reducing CO2 emissions. Psaraftis and Kontovas (2021) highlighted that slow steaming allowed decreasing CO2 emissions but, in the meantime, might cause increase in the cargo transit time, which would further require deployment of more vessels at the given liner shipping route to guarantee the agreed service frequency at ports. Cariou (2021) also underlined efficiency of slow steaming in emission reduction. The study mentioned that future implementation of slow steaming strategy was highly dependent on freight rates and bunker consumption costs. Lindstad et al. (2021) performed the analysis of the slow steaming concept and how it could affect the quantity of emissions produced by vessels. It was found that in case of zero abatement cost, representing the cost of emissions, slow steaming might yield 28 per cent reduction in CO2 emissions.


Vision4UAV/cvg_quadrotor_swarm - We present a cost-effective framework for the prototyping of vision-based quadrotor multi-robot systems, which core characteristics are: modularity, compatibility with different platforms and being flight-proven. The framework is fully operative, which works in simulation and in real flight tests of up to 5 drones, and was demonstrated with the participation in the 2021 International Micro Air Vehicle Indoor Flight Competition (Toulouse, France).

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This paper summarizes the findings of a workshop convened in the United States in 2021 to discuss methods in coastal and estuarine modeling and to propose key areas of research and development needed to improve their accuracy and reliability. The focus of this paper is on physical processes, and we provide an overview of the current state-of-the-art based on presentations and discussions at the meeting, which revolved around the four primary themes of parameterizations, numerical methods, in-situ and remote-sensing measurements, and high-performance computing. A primary outcome of the workshop was agreement on the need to reduce subjectivity and improve reproducibility in modeling of physical processes in the coastal ocean. Reduction of subjectivity can be accomplished through development of standards for benchmarks, grid generation, and validation, and reproducibility can be improved through development of standards for input/output, coupling and model nesting, and reporting. Subjectivity can also be reduced through more engagement with the applied mathematics and computer science communities to develop methods for robust parameter estimation and uncertainty quantification. Such engagement could be encouraged through more collaboration between the forward and inverse modeling communities and integration of more applied math and computer science into oceanography curricula. Another outcome of the workshop was agreement on the need to develop high-resolution models that scale on advanced HPC systems to resolve, rather than parameterize, processes with horizontal scales that range between the depth and the internal Rossby deformation scale. Unsurprisingly, more research is needed on parameterizations of processes at scales smaller than the depth, including parameterizations for drag (including bottom roughness, bedforms, vegetation and corals), wave breaking, and air–sea interactions under strong wind conditions. Other topics that require significantly more work to better parameterize include nearshore wave modeling, sediment transport modeling, and morphodynamics. Finally, it was agreed that coastal models should be considered as key infrastructure needed to support research, just like laboratory facilities, field instrumentation, and research vessels.


Jiegzhan/machine-learning-stanford - Stanford machine learning class on Coursera. Taught by Andrew Ng. Implemented the assignments with Matlab (web).

Vrdmr/CS273a-Introduction-to-Machine-Learning - Introduction to machine learning and data mining How can a machine learn from experience, to become better at a given task? How can we automatically extract knowledge or make sense of massive quantities of data? These are the fundamental questions of machine learning. Machine learning and data mining algorithms use techniques from statistics, optimization, and computer science to create automated systems which can sift through large volumes of data at high speed to make predictions or decisions without human intervention. Machine learning as a field is now incredibly pervasive, with applications from the web (search, advertisements, and suggestions) to national security, from analyzing biochemical interactions to traffic and emissions to astrophysics. Perhaps most famously, the $1M Netflix prize stirred up interest in learning algorithms in professionals, students, and hobbyists alike. This class will familiarize you with a broad cross-section of models and algorithms for machine learning, and prepare you for research or industry application of machine learning techniques. Background We will assume basic familiarity with the concepts of probability and linear algebra.


OpenOCL/OpenOCL - Open Optimal Control Library for Matlab. Trajectory Optimization and non-linear Model Predictive Control (MPC) toolbox.

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Several studies focused primarily on the analysis of greenhouse gas emissions and CO2 emissions from vessels. Psaraftis and Kontovas (2009) conducted a comprehensive analysis of the world CO2 emissions produced by the commercial vessel fleet. Findings indicated that vessel type and size significantly influenced the quantity of emissions produced. Heitmann and Khalilian (2021) studied different CO2 emission allocation options and considered the following factors: possibility of implementation, effectiveness, burden sharing and fairness. Results from the analysis suggested that emission allocation must be conducted on basis of the operating company. Psaraftis (2021) highlighted variability of market-based measures that could be used by IMO to decrease greenhouse gas emissions. Furthermore, the IMO decision was highly dependent on the agreement between developing and developed countries.


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Let bik = 1 if linear segment k is chosen to approximate the bunker consumption function at voyage leg i (0 otherwise). Denote stk,edk,k ∈ K as the speed reciprocal values at the start and the end (respectively) of linear segment k; SLk,INk,k ∈ K as the slope and the intercept of linear segment k; and M1,M2 as sufficiently large positive numbers.

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Cariou and Cheaitou (2021) conducted a study to determine if introduction of a speed limit would be advantageous in decreasing CO2 emissions. The analysis was performed for two transatlantic services. Findings indicated that a bunker levy would be a more efficient alternative as compared to the speed limit. Chang and Wang (2021) analyzed various scenarios to identify the optimal reduction in the vessel sailing speed. Advantages from the speed reduction were estimated based on the reduction in CO2 emissions and associated bunker consumption costs. It was found that the vessel sailing speed reduction would be the most beneficial for scenarios with low charter and high bunker consumption costs. Psaraftis and Kontovas (2021) performed the evaluation of various factors which could influence the decision on the vessel sailing speed. Results from the analysis indicated that freight rates, inventory costs, payload and bunker price mostly affected selection of the vessel sailing speed.

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This study assumes that a liner shipping company has contractual agreements with marine container terminal operators. Based on those agreements, each marine container terminal operator is able to offer a set of handling rates Si = {1, hi}∀i∈I to the liner shipping company. Each handling rate has a corresponding handling productivity dis∀i ∈ I, s ∈ Si, measured in TEUs per hour. Vessel handling time pis∀i ∈ I, s ∈ Si (in hours) is estimated based on the container demand at a given port and the handling productivity requested. Note that a handling rate, which has a higher handling productivity, will reduce the vessel handling time at a given port of call but will increase the port handling cost for the liner shipping company.


Advantages and disadvantages from enforcing emission restrictions within emission control areas

YashBansod/Robotics-Dynamics-and-Control - This contains all the codes of the Robot Dynamics and Control Labs. The imlementations model various kinds of manipulators and mobile robots for position control, trajectory planning and path planning problems. The codes are written on MATLAB (https://longthanhtourist.com/serial-code/?file=3119) 2017a.

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A rotating packed bed (RPB) has received considerable attention of many researchers due to its high mass transfer rate and mixing efficiency. In order to effectively promote and employ RPB in the chemical industry, it is necessary to have a better understanding of its flow characteristics. In this study, a noninvasive X-ray technique was employed for the first time to examine the hydrodynamics of RPB. Time-average tomographic cross sectional images showing the distribution of liquid in the packing zone under various operating conditions were captured. It was observed that high rotational speed improves the distribution of liquid in the packing. Additionally, quantitative analysis based on liquid holdup was made, and the effects of rotational speed, liquid flow rate, fluid viscosity, surfactant and two different kinds of packings on liquid holdup were evaluated. Results indicate that liquid holdup decreases with an increase in rotational speed and a reduction in both liquid flow rate and liquid viscosity. However, it was observed that surfactant has no significant effect on liquid holdup. Correlations to predict liquid holdup were developed, and the calculated values are in agreement with the experimental values with deviations within ±22%. Furthermore, the mean residence time in various conditions is calculated based on liquid holdup.


The latter can be explained by the fact that increase in sailing time for GVSPL2 schedules requires deployment of more vessels at the given liner shipping route to guarantee the weekly service at each port of the port rotation. It was found that on average, over all considered problem instances, the total route service cost could increase by 7/8 per cent from introducing restrictions on the quantity of SO2 emissions produced within ECAs. A detailed comparison of GVSPL1 and GVSPL2 vessel schedules in terms of sailing speed selection within ECAs, bunker consumption, emissions produced within ECAs and port late arrivals is presented next.

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Considering a rapidly growing attention of the community to the environmental concerns, liner shipping companies should implement new strategies for developing their vessel schedules and improving environmental sustainability. The existing environmental regulations in liner shipping do not enforce any restrictions on the actual quantity of emissions that could be produced within ECAs. This study performed a comprehensive assessment of advantages and disadvantages from enforcing emission restrictions within ECAs. Two mixed-integer non-linear mathematical models were developed to achieve the latter objective. The first program modeled the existing IMO regulations, whereas the second one along with the established IMO requirements also enforced restrictions on the quantity of emissions produced within the ECAs. The objective of both models was to minimize the total route service cost. The original models were linearized and solved using the dynamic secant approximation procedure. Numerical experiments were conducted for the French Asia Line 3 route, served by CMA CGM liner shipping company and passing through ECAs with SOx control.


The average vessel sailing speeds (in knots) over the generated problem instances at voyage legs 1-3 are presented in Figure 5 for GVSPL1 and GVSPL2 vessel schedules. Notation vi1 was adopted for the vessel sailing speed at voyage leg i suggested by GVSPL1, whereas notation vi2 was adopted for the vessel sailing speed at voyage leg isuggested by GVSPL2. We observe that on average, the vessel sailing speed was reduced by 33/3, 26/5 and 10/0 per cent at voyage legs 1-3, passing through ECAs, when emission restrictions were imposed. Reduction in the vessel sailing speed increases the container transit time through ECAs but decreases the quantity of SO2 emissions produced.

A direct time-domain numerical approach named the half-plane boundary element method is proposed based on the half-space Green's functions for seismic analysis of a homogeneous linear elastic half-plane in presence of arbitrarily shaped subsurface inclusions, subjected to propagating obliquely incident SH-waves. It is assumed that inclusion is completely connected to the surrounding domain. In the use of the method, only (more info here) the interfaces need to be discretized to create the model. First, the problem is decomposed into two parts including a pitted half-plane and a closed filled solid. Then, the influence coefficients of the matrices are obtained by applying the method to each part. By satisfying the boundary/continuity conditions on the interfaces, a coupled equation is finally formed to determine unknown boundary values in each time-step. After implementing the method in an advanced developed algorithm, its efficiency is investigated by solving some practical examples and compared with those of the published works. The results show that the proposed method has an appropriate accuracy for analyzing seismic inclusion problems. To complete the results, the synthetic seismograms of the surface are presented for circular/elliptical subsurface inclusions. Then, three-dimensional amplification patterns are illustrated for some specific cases.


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