This a fake scientific article generated by a computer program. It is the parody of science and a perfect example of the problem of our age: the achievement without actual knowledge and effort.
This document discusses the performance of MochaWet, a system for managing constant-time algorithms. The system is made up of four independent components: probabilistic communication, context-free grammar, Byzantine fault tolerance evaluation, and low-energy configurations. Experimental results show that tripling the effective flash memory speed of topologically stochastic archetypes is crucial to MochaWet's results. The document concludes that MochaWet has set a precedent for synthesizing Byzantine fault tolerance.
Event-Driven, Client-Server Archetypes for E-Commerceijtsrd
The networking solution to symmetric encryption [1] is defined not only by the understanding of write-ahead logging, but also by the extensive need for neural networks. In this position paper, we verify the visualization of red-black trees. In this paper we concentrate our efforts on arguing that local-area networks can be made wireless, authenticated, and Bayesian [2]. Chirag Patel"Event-Driven, Client-Server Archetypes for E-Commerce" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-1 , December 2016, URL: http://www.ijtsrd.com/papers/ijtsrd56.pdf http://www.ijtsrd.com/engineering/computer-engineering/56/event-driven-client-server-archetypes-for-e-commerce/chirag-patel
This document summarizes a research paper that proposes a new heuristic called PAUSE for investigating the producer-consumer problem in distributed systems. The paper motivates the need to study this problem, describes PAUSE's approach of using compact configurations and decentralized components, outlines its implementation in Lisp and Java, and presents experimental results showing PAUSE outperforms previous methods. Related work investigating similar challenges is also discussed.
The large-scale cyberinformatics method to replication is defined not only by the analysis of local-area networks, but also by the structured need for the Internet. Here, we confirm the refinement of superpages, which embodies the unfortunate principles of operating systems. SHODE, our new methodology for secure methodologies, is the solution to all of these obstacles.
The document proposes BergSump, a new framework for analyzing I/O automata. BergSump aims to confirm that superblocks and flip-flop gates are generally incompatible. It discusses related work on XML, wireless networks, and cryptography. The implementation section outlines version 5.9 of BergSump and plans to release the code under an open source license. The evaluation analyzes BergSump's performance and shows its median complexity is better than prior solutions. The conclusion argues that BergSump can successfully observe many sensor networks at once.
This document summarizes a research paper that proposes a new approach called BinatePacking for improving digital-to-analog converters. BinatePacking aims to address issues with comparing write-ahead logging and memory bus performance using binary packing. The paper presents simulation results that show BinatePacking can improve average hit ratio and reduce response time compared to other approaches. It discusses experiments conducted to evaluate BinatePacking's performance on desktop machines and in a 100-node network. The results showed BinatePacking produced smoother, more reproducible performance than emulating components.
Brian Klumpe Unification of Producer Consumer Key PairsBrian_Klumpe
This document discusses a framework called Vulva that aims to achieve several goals: (1) confirm that SCSI disks can be made omniscient, stable, and trainable; (2) evaluate the use of public-private key pairs to unify the producer-consumer problem and cryptography; (3) demonstrate that Vulva runs in O(n!) time. The paper describes experiments conducted using Vulva that analyzed seek time, complexity, bandwidth, and other metrics on various systems. However, the results were inconsistent due to bugs and electromagnetic disturbances. The paper also reviews related work on thin clients, online algorithms, and extensible symmetries.
Deploying the producer consumer problem using homogeneous modalitiesFredrick Ishengoma
This document describes a proposed system called BedcordFacework for deploying the producer-consumer problem using homogeneous modalities. It discusses related work on neural networks and distributed theory. It presents a model for BedcordFacework consisting of four independent components and details its relationship to virtual theory. The implementation includes Ruby scripts, Fortran code, and Prolog files. Results are presented showing BedcordFacework outperforming other frameworks in terms of throughput and latency. The conclusion argues that BedcordFacework can make voice-over-IP atomic, pervasive, and distributed.
This document discusses the performance of MochaWet, a system for managing constant-time algorithms. The system is made up of four independent components: probabilistic communication, context-free grammar, Byzantine fault tolerance evaluation, and low-energy configurations. Experimental results show that tripling the effective flash memory speed of topologically stochastic archetypes is crucial to MochaWet's results. The document concludes that MochaWet has set a precedent for synthesizing Byzantine fault tolerance.
Event-Driven, Client-Server Archetypes for E-Commerceijtsrd
The networking solution to symmetric encryption [1] is defined not only by the understanding of write-ahead logging, but also by the extensive need for neural networks. In this position paper, we verify the visualization of red-black trees. In this paper we concentrate our efforts on arguing that local-area networks can be made wireless, authenticated, and Bayesian [2]. Chirag Patel"Event-Driven, Client-Server Archetypes for E-Commerce" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-1 , December 2016, URL: http://www.ijtsrd.com/papers/ijtsrd56.pdf http://www.ijtsrd.com/engineering/computer-engineering/56/event-driven-client-server-archetypes-for-e-commerce/chirag-patel
This document summarizes a research paper that proposes a new heuristic called PAUSE for investigating the producer-consumer problem in distributed systems. The paper motivates the need to study this problem, describes PAUSE's approach of using compact configurations and decentralized components, outlines its implementation in Lisp and Java, and presents experimental results showing PAUSE outperforms previous methods. Related work investigating similar challenges is also discussed.
The large-scale cyberinformatics method to replication is defined not only by the analysis of local-area networks, but also by the structured need for the Internet. Here, we confirm the refinement of superpages, which embodies the unfortunate principles of operating systems. SHODE, our new methodology for secure methodologies, is the solution to all of these obstacles.
The document proposes BergSump, a new framework for analyzing I/O automata. BergSump aims to confirm that superblocks and flip-flop gates are generally incompatible. It discusses related work on XML, wireless networks, and cryptography. The implementation section outlines version 5.9 of BergSump and plans to release the code under an open source license. The evaluation analyzes BergSump's performance and shows its median complexity is better than prior solutions. The conclusion argues that BergSump can successfully observe many sensor networks at once.
This document summarizes a research paper that proposes a new approach called BinatePacking for improving digital-to-analog converters. BinatePacking aims to address issues with comparing write-ahead logging and memory bus performance using binary packing. The paper presents simulation results that show BinatePacking can improve average hit ratio and reduce response time compared to other approaches. It discusses experiments conducted to evaluate BinatePacking's performance on desktop machines and in a 100-node network. The results showed BinatePacking produced smoother, more reproducible performance than emulating components.
Brian Klumpe Unification of Producer Consumer Key PairsBrian_Klumpe
This document discusses a framework called Vulva that aims to achieve several goals: (1) confirm that SCSI disks can be made omniscient, stable, and trainable; (2) evaluate the use of public-private key pairs to unify the producer-consumer problem and cryptography; (3) demonstrate that Vulva runs in O(n!) time. The paper describes experiments conducted using Vulva that analyzed seek time, complexity, bandwidth, and other metrics on various systems. However, the results were inconsistent due to bugs and electromagnetic disturbances. The paper also reviews related work on thin clients, online algorithms, and extensible symmetries.
Deploying the producer consumer problem using homogeneous modalitiesFredrick Ishengoma
This document describes a proposed system called BedcordFacework for deploying the producer-consumer problem using homogeneous modalities. It discusses related work on neural networks and distributed theory. It presents a model for BedcordFacework consisting of four independent components and details its relationship to virtual theory. The implementation includes Ruby scripts, Fortran code, and Prolog files. Results are presented showing BedcordFacework outperforming other frameworks in terms of throughput and latency. The conclusion argues that BedcordFacework can make voice-over-IP atomic, pervasive, and distributed.
This document summarizes a research paper that proposes a new framework called FinnMun for emulating spreadsheets. The paper introduces FinnMun and describes its implementation. It then discusses the experimental setup and results from evaluating FinnMun on various hardware configurations. The evaluation analyzes trends in metrics like throughput, response time, and hit ratio. The paper finds that FinnMun can successfully emulate spreadsheets and improve system performance. It concludes that FinnMun helps advance research on producer-consumer problems and complex systems.
Parallel Batch-Dynamic Graphs: Algorithms and Lower BoundsSubhajit Sahu
In this paper we study the problem of dynamically
maintaining graph properties under batches of edge
insertions and deletions in the massively parallel model
of computation. In this setting, the graph is stored
on a number of machines, each having space strongly
sublinear with respect to the number of vertices, that
is, n
for some constant 0 < < 1. Our goal is to
handle batches of updates and queries where the data
for each batch fits onto one machine in constant rounds
of parallel computation, as well as to reduce the total
communication between the machines. This objective
corresponds to the gradual buildup of databases over
time, while the goal of obtaining constant rounds of
communication for problems in the static setting has
been elusive for problems as simple as undirected graph
connectivity.
We give an algorithm for dynamic graph connectivity
in this setting with constant communication rounds and
communication cost almost linear in terms of the batch
size. Our techniques combine a new graph contraction
technique, an independent random sample extractor from
correlated samples, as well as distributed data structures
supporting parallel updates and queries in batches.
We also illustrate the power of dynamic algorithms in
the MPC model by showing that the batched version
of the adaptive connectivity problem is P-complete in
the centralized setting, but sub-linear sized batches can
be handled in a constant number of rounds. Due to
the wide applicability of our approaches, we believe
it represents a practically-motivated workaround to the
current difficulties in designing more efficient massively
parallel static graph algorithms.
Transfer Learning for Improving Model Predictions in Highly Configurable Soft...Pooyan Jamshidi
Modern software systems are now being built to be used in dynamic environments utilizing configuration capabilities to adapt to changes and external uncertainties. In a self-adaptation context, we are often interested in reasoning about the performance of the systems under different configurations. Usually, we learn a black-box model based on real measurements to predict the performance of the system given a specific configuration. However, as modern systems become more complex, there are many configuration parameters that may interact and, therefore, we end up learning an exponentially large configuration space. Naturally, this does not scale when relying on real measurements in the actual changing environment. We propose a different solution: Instead of taking the measurements from the real system, we learn the model using samples from other sources, such as simulators that approximate performance of the real system at low cost.
NETWORK-AWARE DATA PREFETCHING OPTIMIZATION OF COMPUTATIONS IN A HETEROGENEOU...IJCNCJournal
Rapid development of diverse computer architectures and hardware accelerators caused that designing parallel systems faces new problems resulting from their heterogeneity. Our implementation of a parallel
system called KernelHive allows to efficiently run applications in a heterogeneous environment consisting
of multiple collections of nodes with different types of computing devices. The execution engine of the
system is open for optimizer implementations, focusing on various criteria. In this paper, we propose a new
optimizer for KernelHive, that utilizes distributed databases and performs data prefetching to optimize the
execution time of applications, which process large input data. Employing a versatile data management
scheme, which allows combining various distributed data providers, we propose using NoSQL databases
for our purposes. We support our solution with results of experiments with real executions of our OpenCL
implementation of a regular expression matching application in various hardware configurations.
Additionally, we propose a network-aware scheduling scheme for selecting hardware for the proposed
optimizer and present simulations that demonstrate its advantages.
Transfer Learning for Software Performance Analysis: An Exploratory AnalysisPooyan Jamshidi
The document discusses transfer learning for building performance models of configurable software systems. Building accurate performance models through direct measurement is challenging due to the large configuration space and environmental factors. Transfer learning aims to address this by leveraging knowledge from performance models built for related systems or environments to improve the learning process for new systems and environments. The goal is to develop techniques that allow predicting and optimizing performance for configurable systems across changing environments.
Earlier stage for straggler detection and handling using combined CPU test an...IJECEIAES
This document summarizes a research paper that proposes a new framework called the combinatory late-machine (CLM) framework to facilitate early detection and handling of straggler tasks in MapReduce jobs. Straggler tasks significantly increase job execution time and energy consumption. The CLM framework combines CPU testing and the Longest Approximate Time to End (LATE) methodology to calculate a straggler tolerance threshold earlier. This allows for prompt mitigation actions. The paper reviews related work on straggler detection techniques and discusses the proposed methodology, which estimates task finish times based on progress scores. It aims to correlate straggler detection with system attributes like resource utilization that could cause delays.
This paper addresses the issue of accumulated computational and communication skew in time-stepped scientific applications running on cloud environments. It proposes a new approach called AsyTick that fully exploits parallelism among application ticks to resist skew accumulation. AsyTick uses a data-centric programming model and runtime system to allow decomposing computational parts of objects into asynchronous sub-processes. Experimental results show the proposed approach improves performance over state-of-the-art skew-resistant approaches by up to 2.53 times for time-stepped applications in the cloud.
Parallel Computing 2007: Bring your own parallel applicationGeoffrey Fox
This document discusses parallelizing several algorithms and applications including k-means clustering, frequent itemset mining, integer programming, computer chess, and support vector machines (SVM). For k-means and frequent itemset mining, the algorithms can be parallelized by partitioning the data across processors and performing partial computations locally before combining results with an allreduce operation. Computer chess can be parallelized by exploring different game tree branches simultaneously on different processors. SVM problems involve large dense matrices that are difficult to solve in parallel directly due to their size exceeding memory; alternative approaches include solving smaller subproblems independently.
A Tale of Data Pattern Discovery in ParallelJenny Liu
In the era of IoTs and A.I., distributed and parallel computing is embracing big data driven and algorithm focused applications and services. With rapid progress and development on parallel frameworks, algorithms and accelerated computing capacities, it still remains challenging on deliver an efficient and scalable data analysis solution. This talk shares a research experience on data pattern discovery in domain applications. In particular, the research scrutinizes key factors in analysis workflow design and data parallelism improvement on cloud.
This midterm report summarizes progress on developing a program to generate cohesive zone models (CZM) using Python. The program has successfully generated CZM for basic, single-crack, and single-inclusion models. However, challenges remain in handling more complex multi-crack models. The report proposes addressing this by changing to an object-oriented structure and representing cracks as a tree to properly model crack junctions and updates to elements. Future work will focus on implementing this tree structure in Python while maintaining efficiency.
Autonomic Resource Provisioning for Cloud-Based SoftwarePooyan Jamshidi
This document summarizes Pooyan Jamshidi's research on autonomic resource provisioning for cloud-based software. The research was conducted in collaboration with Aakash Ahmad at the Irish Centre for Cloud Computing and Commerce at Dublin City University under the supervision of Dr. Claus Pahl. The research aims to develop techniques to dynamically provision cloud resources in response to changing demand in order to improve resource utilization and meet service level agreements.
This document presents and analyzes algorithms for finding maximal vectors in large data sets. It introduces a cost model and assumptions for average-case analysis. It reviews existing algorithms such as double divide-and-conquer (DD&C) and linear divide-and-conquer (LD&C), and analyzes their runtimes. It also presents a new algorithm called LESS and proves it has average-case runtime of O(kn).
Transfer learning with LTANN-MEM & NSA for solving multi-objective symbolic r...Amr Kamel Deklel
Abstract
Long Term Artificial Neural Network Memory (LTANN-MEM) and Neural Symbolization Algorithm (NSA)
are proposed for solving symbolic regression problems. Although this approach is capable of solving Boolean
decoder problems of sizes 6, 11 and 20, it is not capable of solving decoder problems of higher dimensions like
decoder-37; decoder-n is decoder with sum of inputs and outputs is n for example decoder-20 is decoder with 4
inputs and 16 outputs. It is shown here that LTANN-MEM and NSA approach is a kind of transfer learning
however it lacks for sub tasking transfer and updatable LTANN-MEM. An approach for adding the sub tasking
transfer and LTANN-MEM updates is discussed here and examined by solving decoder problems of sizes 37, 70
and 135 efficiently. Comparisons with two learning classifier systems are performed and it is found that the
proposed approach in this work outperforms both of them. It is shown that the proposed approach is used also for
solving decoder-264 efficiently. According to the best of our knowledge, there is no reported approach for solving
this high dimensional problem.
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and ArchitecturesMLAI2
MetaPerturb is a meta-learned perturbation function that can enhance generalization of neural networks on different tasks and architectures. It proposes a novel meta-learning framework involving jointly training a main model and perturbation module on multiple source tasks to learn a transferable perturbation function. This meta-learned perturbation function can then be transferred to improve performance of a target model on an unseen target task or architecture, outperforming baselines on various datasets and architectures.
The aim of the proposed research will be to develop software for implementing a parallel solution for the RSA decryption algorithm. Multithread and distributed computing methods will be used to reach the aimed objective. This effort will include the development of a hybrid OpenMP/MPI program to maximize the use of computational resources and, consequently, decrease the time to decrypt large ciphertexts.
Tackling Consistency-related Design Challenges of Distributed Data-Intensive ...Susanne Braun
This document summarizes an action research study on developing design guidelines for eventually consistent domain models in distributed data-intensive systems. The study involved two cycles of applying and improving the guidelines in collaboration with industry partners. In cycle 1, developers found the redesigned model clearer using the guidelines and that the guidelines helped structure the model. Areas for improvement were identified. In cycle 2, developers stated the revised guidelines were supportive, comprehensible, and applicable, and praised additions like cheat sheets. The results showed high levels of compatible domain operations and use of trivial aggregates in resulting models designed with the guidelines.
A brief introduction to deep learning, providing rough interpretation to deep neural networks and simple implementations with Keras for deep learning beginners.
GPUFish is a parallel computing framework for solving very large-scale matrix completion problems on GPUs. It implements parallel stochastic gradient descent to optimize the matrix completion objective function. GPUFish allows customizing the objective function to domain-specific problems like 1-bit matrix completion where entries are binary. Tests show GPUFish achieves a 100x speedup over serial algorithms for 1-bit matrix completion with minimal loss in accuracy using a single GPU.
Reliability Improvement in Logic Circuit Stochastic ComputationWaqas Tariq
Defects and faults arise from physical imperfections and noise susceptibility of the analog circuit components used to create digital circuits resulting in computational errors. A probabilistic computational model is needed to quantify and analyze the effect of noisy signals on computational accuracy in digital circuits. This model computes the reliability of digital circuits meaning that the inputs and outputs and their implemented logic function need to be calculated probabilistically. The purpose of this paper is to present a new architecture for designing noise-tolerant digital circuits. The approach we propose is to use a class of single-input, single-output circuits called Reliability Enhancement Network Chain (RENC). A RENC is a concatenation of n simple logic circuits called Reliability Enhancement Network (REN). Each REN can increase the reliability of a digital circuit to a higher level. Reliability of the circuit can approach any desirable level when a RENC composed of a sufficient number of RENs is employed. Moreover, the proposed approach is applicable to the design of any logic circuit implemented with any logic technology.
The document discusses principles of parallel algorithm design, including decomposing problems into tasks, mapping tasks to processes, and characteristics that affect parallel performance such as granularity, degree of concurrency, critical path length, and task interaction graphs.
The Literacy Project was a European wide research project funded by the European Commission in
the area of ICT under the FP7 Programme. The aim of the project was to create an advanced online
portal to support the inclusion of dyslexic youths and adults in society, and research online
accessibility. One of our main research area was to meet the needs of dyslexic people. Surveys and
interviews helped us to work out the Portal. Our final conclusion is that the future is for the universal
design, or rather the inclusive design.
This document summarizes a research paper that proposes a new framework called FinnMun for emulating spreadsheets. The paper introduces FinnMun and describes its implementation. It then discusses the experimental setup and results from evaluating FinnMun on various hardware configurations. The evaluation analyzes trends in metrics like throughput, response time, and hit ratio. The paper finds that FinnMun can successfully emulate spreadsheets and improve system performance. It concludes that FinnMun helps advance research on producer-consumer problems and complex systems.
Parallel Batch-Dynamic Graphs: Algorithms and Lower BoundsSubhajit Sahu
In this paper we study the problem of dynamically
maintaining graph properties under batches of edge
insertions and deletions in the massively parallel model
of computation. In this setting, the graph is stored
on a number of machines, each having space strongly
sublinear with respect to the number of vertices, that
is, n
for some constant 0 < < 1. Our goal is to
handle batches of updates and queries where the data
for each batch fits onto one machine in constant rounds
of parallel computation, as well as to reduce the total
communication between the machines. This objective
corresponds to the gradual buildup of databases over
time, while the goal of obtaining constant rounds of
communication for problems in the static setting has
been elusive for problems as simple as undirected graph
connectivity.
We give an algorithm for dynamic graph connectivity
in this setting with constant communication rounds and
communication cost almost linear in terms of the batch
size. Our techniques combine a new graph contraction
technique, an independent random sample extractor from
correlated samples, as well as distributed data structures
supporting parallel updates and queries in batches.
We also illustrate the power of dynamic algorithms in
the MPC model by showing that the batched version
of the adaptive connectivity problem is P-complete in
the centralized setting, but sub-linear sized batches can
be handled in a constant number of rounds. Due to
the wide applicability of our approaches, we believe
it represents a practically-motivated workaround to the
current difficulties in designing more efficient massively
parallel static graph algorithms.
Transfer Learning for Improving Model Predictions in Highly Configurable Soft...Pooyan Jamshidi
Modern software systems are now being built to be used in dynamic environments utilizing configuration capabilities to adapt to changes and external uncertainties. In a self-adaptation context, we are often interested in reasoning about the performance of the systems under different configurations. Usually, we learn a black-box model based on real measurements to predict the performance of the system given a specific configuration. However, as modern systems become more complex, there are many configuration parameters that may interact and, therefore, we end up learning an exponentially large configuration space. Naturally, this does not scale when relying on real measurements in the actual changing environment. We propose a different solution: Instead of taking the measurements from the real system, we learn the model using samples from other sources, such as simulators that approximate performance of the real system at low cost.
NETWORK-AWARE DATA PREFETCHING OPTIMIZATION OF COMPUTATIONS IN A HETEROGENEOU...IJCNCJournal
Rapid development of diverse computer architectures and hardware accelerators caused that designing parallel systems faces new problems resulting from their heterogeneity. Our implementation of a parallel
system called KernelHive allows to efficiently run applications in a heterogeneous environment consisting
of multiple collections of nodes with different types of computing devices. The execution engine of the
system is open for optimizer implementations, focusing on various criteria. In this paper, we propose a new
optimizer for KernelHive, that utilizes distributed databases and performs data prefetching to optimize the
execution time of applications, which process large input data. Employing a versatile data management
scheme, which allows combining various distributed data providers, we propose using NoSQL databases
for our purposes. We support our solution with results of experiments with real executions of our OpenCL
implementation of a regular expression matching application in various hardware configurations.
Additionally, we propose a network-aware scheduling scheme for selecting hardware for the proposed
optimizer and present simulations that demonstrate its advantages.
Transfer Learning for Software Performance Analysis: An Exploratory AnalysisPooyan Jamshidi
The document discusses transfer learning for building performance models of configurable software systems. Building accurate performance models through direct measurement is challenging due to the large configuration space and environmental factors. Transfer learning aims to address this by leveraging knowledge from performance models built for related systems or environments to improve the learning process for new systems and environments. The goal is to develop techniques that allow predicting and optimizing performance for configurable systems across changing environments.
Earlier stage for straggler detection and handling using combined CPU test an...IJECEIAES
This document summarizes a research paper that proposes a new framework called the combinatory late-machine (CLM) framework to facilitate early detection and handling of straggler tasks in MapReduce jobs. Straggler tasks significantly increase job execution time and energy consumption. The CLM framework combines CPU testing and the Longest Approximate Time to End (LATE) methodology to calculate a straggler tolerance threshold earlier. This allows for prompt mitigation actions. The paper reviews related work on straggler detection techniques and discusses the proposed methodology, which estimates task finish times based on progress scores. It aims to correlate straggler detection with system attributes like resource utilization that could cause delays.
This paper addresses the issue of accumulated computational and communication skew in time-stepped scientific applications running on cloud environments. It proposes a new approach called AsyTick that fully exploits parallelism among application ticks to resist skew accumulation. AsyTick uses a data-centric programming model and runtime system to allow decomposing computational parts of objects into asynchronous sub-processes. Experimental results show the proposed approach improves performance over state-of-the-art skew-resistant approaches by up to 2.53 times for time-stepped applications in the cloud.
Parallel Computing 2007: Bring your own parallel applicationGeoffrey Fox
This document discusses parallelizing several algorithms and applications including k-means clustering, frequent itemset mining, integer programming, computer chess, and support vector machines (SVM). For k-means and frequent itemset mining, the algorithms can be parallelized by partitioning the data across processors and performing partial computations locally before combining results with an allreduce operation. Computer chess can be parallelized by exploring different game tree branches simultaneously on different processors. SVM problems involve large dense matrices that are difficult to solve in parallel directly due to their size exceeding memory; alternative approaches include solving smaller subproblems independently.
A Tale of Data Pattern Discovery in ParallelJenny Liu
In the era of IoTs and A.I., distributed and parallel computing is embracing big data driven and algorithm focused applications and services. With rapid progress and development on parallel frameworks, algorithms and accelerated computing capacities, it still remains challenging on deliver an efficient and scalable data analysis solution. This talk shares a research experience on data pattern discovery in domain applications. In particular, the research scrutinizes key factors in analysis workflow design and data parallelism improvement on cloud.
This midterm report summarizes progress on developing a program to generate cohesive zone models (CZM) using Python. The program has successfully generated CZM for basic, single-crack, and single-inclusion models. However, challenges remain in handling more complex multi-crack models. The report proposes addressing this by changing to an object-oriented structure and representing cracks as a tree to properly model crack junctions and updates to elements. Future work will focus on implementing this tree structure in Python while maintaining efficiency.
Autonomic Resource Provisioning for Cloud-Based SoftwarePooyan Jamshidi
This document summarizes Pooyan Jamshidi's research on autonomic resource provisioning for cloud-based software. The research was conducted in collaboration with Aakash Ahmad at the Irish Centre for Cloud Computing and Commerce at Dublin City University under the supervision of Dr. Claus Pahl. The research aims to develop techniques to dynamically provision cloud resources in response to changing demand in order to improve resource utilization and meet service level agreements.
This document presents and analyzes algorithms for finding maximal vectors in large data sets. It introduces a cost model and assumptions for average-case analysis. It reviews existing algorithms such as double divide-and-conquer (DD&C) and linear divide-and-conquer (LD&C), and analyzes their runtimes. It also presents a new algorithm called LESS and proves it has average-case runtime of O(kn).
Transfer learning with LTANN-MEM & NSA for solving multi-objective symbolic r...Amr Kamel Deklel
Abstract
Long Term Artificial Neural Network Memory (LTANN-MEM) and Neural Symbolization Algorithm (NSA)
are proposed for solving symbolic regression problems. Although this approach is capable of solving Boolean
decoder problems of sizes 6, 11 and 20, it is not capable of solving decoder problems of higher dimensions like
decoder-37; decoder-n is decoder with sum of inputs and outputs is n for example decoder-20 is decoder with 4
inputs and 16 outputs. It is shown here that LTANN-MEM and NSA approach is a kind of transfer learning
however it lacks for sub tasking transfer and updatable LTANN-MEM. An approach for adding the sub tasking
transfer and LTANN-MEM updates is discussed here and examined by solving decoder problems of sizes 37, 70
and 135 efficiently. Comparisons with two learning classifier systems are performed and it is found that the
proposed approach in this work outperforms both of them. It is shown that the proposed approach is used also for
solving decoder-264 efficiently. According to the best of our knowledge, there is no reported approach for solving
this high dimensional problem.
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and ArchitecturesMLAI2
MetaPerturb is a meta-learned perturbation function that can enhance generalization of neural networks on different tasks and architectures. It proposes a novel meta-learning framework involving jointly training a main model and perturbation module on multiple source tasks to learn a transferable perturbation function. This meta-learned perturbation function can then be transferred to improve performance of a target model on an unseen target task or architecture, outperforming baselines on various datasets and architectures.
The aim of the proposed research will be to develop software for implementing a parallel solution for the RSA decryption algorithm. Multithread and distributed computing methods will be used to reach the aimed objective. This effort will include the development of a hybrid OpenMP/MPI program to maximize the use of computational resources and, consequently, decrease the time to decrypt large ciphertexts.
Tackling Consistency-related Design Challenges of Distributed Data-Intensive ...Susanne Braun
This document summarizes an action research study on developing design guidelines for eventually consistent domain models in distributed data-intensive systems. The study involved two cycles of applying and improving the guidelines in collaboration with industry partners. In cycle 1, developers found the redesigned model clearer using the guidelines and that the guidelines helped structure the model. Areas for improvement were identified. In cycle 2, developers stated the revised guidelines were supportive, comprehensible, and applicable, and praised additions like cheat sheets. The results showed high levels of compatible domain operations and use of trivial aggregates in resulting models designed with the guidelines.
A brief introduction to deep learning, providing rough interpretation to deep neural networks and simple implementations with Keras for deep learning beginners.
GPUFish is a parallel computing framework for solving very large-scale matrix completion problems on GPUs. It implements parallel stochastic gradient descent to optimize the matrix completion objective function. GPUFish allows customizing the objective function to domain-specific problems like 1-bit matrix completion where entries are binary. Tests show GPUFish achieves a 100x speedup over serial algorithms for 1-bit matrix completion with minimal loss in accuracy using a single GPU.
Reliability Improvement in Logic Circuit Stochastic ComputationWaqas Tariq
Defects and faults arise from physical imperfections and noise susceptibility of the analog circuit components used to create digital circuits resulting in computational errors. A probabilistic computational model is needed to quantify and analyze the effect of noisy signals on computational accuracy in digital circuits. This model computes the reliability of digital circuits meaning that the inputs and outputs and their implemented logic function need to be calculated probabilistically. The purpose of this paper is to present a new architecture for designing noise-tolerant digital circuits. The approach we propose is to use a class of single-input, single-output circuits called Reliability Enhancement Network Chain (RENC). A RENC is a concatenation of n simple logic circuits called Reliability Enhancement Network (REN). Each REN can increase the reliability of a digital circuit to a higher level. Reliability of the circuit can approach any desirable level when a RENC composed of a sufficient number of RENs is employed. Moreover, the proposed approach is applicable to the design of any logic circuit implemented with any logic technology.
The document discusses principles of parallel algorithm design, including decomposing problems into tasks, mapping tasks to processes, and characteristics that affect parallel performance such as granularity, degree of concurrency, critical path length, and task interaction graphs.
The Literacy Project was a European wide research project funded by the European Commission in
the area of ICT under the FP7 Programme. The aim of the project was to create an advanced online
portal to support the inclusion of dyslexic youths and adults in society, and research online
accessibility. One of our main research area was to meet the needs of dyslexic people. Surveys and
interviews helped us to work out the Portal. Our final conclusion is that the future is for the universal
design, or rather the inclusive design.
Robobraille Smart - Inkluzio Alternativ Mediaval kurzuskonyvEva Gyarmathy
A SMART Altarnatív Média tréning tanfolyam műhelymunkákon keresztül kidolgozott és leírt anyaga, didaktikai útmutatókkal, tanulási stratégiákkal, elmélettel és gyakorlati feladtokkal. A SMART tanfolyamot írja lea A SMART Alternatív Média Kurzus Kézikönyv. A kurzus azonnal hatást érhet el az oktatási rendszerben Európa szerte az inkluzív tanításban.
This document provides resources for creating assistive and learning technology materials including free and open source software. It describes audio and image editing programs like Audacity and OpenOffice that can be used to create multimedia language learning materials. Examples are given of converting texts to audio books using RoboBraille and creating a do-it-yourself Spanish lesson with inserted audio files and images.
A tehetséggondozás akkor hatékony, ha a tehetség fejlődésének sajátosságai szerint figyelembe veszi az eltérő csoportok igényeit. Ehhez elsősorban ismerni kell a tehetség csoportjait.
A tehetséggondozásban a tehetség megismerése segíti, hogy a fejlődéshez megfelelő környezet biztosítható legyen. a vizsgálat célja nem a teheség azonosítása, hanem a tehetség sajátosságainak megismerése..
Az autizmus egyre gyakoribb diagnózis, de még mindig kevéssé ismert jelenség. A lényege a mentalizáció, gyengesége a jellemző. Másoknak független tudatot tulajdonítani nem tud automatikusan az autista egyén, de egyéb tekintetben rendkívül sokféle, és gyakran kiemelkedő tehetség.
A tehetség nem egyszerűen képesség, hanem sajátos attitűd, amely tevékenységre sarkall. A képesség a tevékenység, gyakorlás által erősödik meg, és teljesítményt elérő talentummá válik. Ez a sajátos attitűd zavaró is lehet, ha nem arra a területre iányul, amelyet a környezet elfogadhatónak ítél.
A motivációt sokszor egészen apró, észrevétlen kommunikációs finomságok lohasztják. A mindennapi kifejezéseink tele vannak a feladatról az énre, a teljesítményre fordító kifejezéssel. Ezek megváltoztatása az attitűdöt is megváltoztatja.
Az átütő fejlődésű kisgyerekek ellátása egyelőre nem megoldott, pedig egyre több kisgyerek jelenik meg rendkívüli tanulási vággyal és képességekkel.
A család, a szakemberek és intézmények a szokásos tehetséggonodzó módszereket meghaladó eljárásokkal közösen tudják megoldani ezt az amúgy örömteli problémát.
Az egyik legjobban használható intelligencia modell Anderson minimális kognitív modellje. Ezzel jól magyarázhatók a különleges képességek, és eltérések, mint a diszlexia, diszkalkulia, autizmus, savanat szindróma is.
A tehetséggondozásban ritkán használt eljárás a léptetés és ugratás. Ha a vegyes életkorú osztályok gyakoribbak lennének, sokkal kevesebb gondot okozna a tehetséges gyerekek felsőbb osztályokba járása. Jelenleg azonban nagy óvatosságra van szükség, és számos szempontot figyelembe kell venni. Az irányelvek ezt segítik.
The document discusses mind mapping as a study tool. It provides rules for creating a proper mind map, including using a landscape layout, capital letters, a central theme, branching lines for topics, writing from the center outward, using a 45 degree writing angle, colors, pictures, codes, and less writing. It also mentions mind maps can be used for presentations, brainstorming, research, essays, and as an overview, review, or study aid.
A Diszlexia a digitális korszakban könyvemről készült recenzió önmagában is kiváló írás, ezért szívesen osztom meg. Köszönet Kerényi Marinak az értő közvetítésért.
Enabling Congestion Control Using Homogeneous ArchetypesJames Johnson
The document proposes a new technique called Puck for deploying write-ahead logging to address congestion control. It describes Puck's model and implementation, and presents results from experiments evaluating Puck's performance against other systems. The experiments showed unstable results due to noise and did not support the hypotheses, suggesting years of work on Puck were wasted.
This document proposes a new framework called EnodalPincers for understanding DHCP. EnodalPincers uses a novel heuristic to cache multi-processors and explores the exploration of thin clients. The methodology assumes each component enables introspective algorithms independently. Experimental results show EnodalPincers has an expected response time and energy usage that varies with work factor and signal-to-noise ratio. In conclusion, EnodalPincers runs in Θ(log n) time like other stable algorithms for congestion control.
(1) The document presents a new tool called Est for exploring superpages. It validates that multiprocessors and local area networks can interact to achieve this goal.
(2) The implementation of Est is collaborative, "smart", and perfect. It provides users complete control over server daemons and compilers.
(3) Experiments showed that four years of work were wasted on this project. Results were not reproducible and error bars fell outside standard deviations, contrasting with earlier work.
Rooter: A Methodology for the Typical Unification
of Access Points and Redundancy
Many physicists would agree that, had it not been for
congestion control, the evaluation of web browsers might never
have occurred. In fact, few hackers worldwide would disagree
with the essential unification of voice-over-IP and public-
private key pair. In order to solve this riddle, we confirm that
SMPs can be made stochastic, cacheable, and interposable.
Constructing Operating Systems and E-CommerceIJARIIT
Information retrieval systems and the partition table, while essential in theory, have not until recently been considered important [15]. In fact, few theorists would disagree with the deployment of massive multiplayer online role-playing games, which embodies the robust principles of complexity theory. In this work we investigate how Smalltalk can be applied to the synthesis of lambda calculus.
This document proposes a new application called EtheSpinet to address obstacles in interactive epistemologies. It presents two main contributions: 1) validating that the Internet and RAID can synchronize to accomplish a purpose, and 2) proving multicast applications and write-ahead logging are largely incompatible. The paper outlines EtheSpinet's implementation and results from experiments comparing its performance to other systems. In conclusion, it states that EtheSpinet will successfully cache many linked lists at once and help analysts evaluate the producer-consumer problem more extensively.
Comparing reinforcement learning and access points with rowelijcseit
Due to the fast development of the Cloud Computing technologies, the rapid increase of cloud services
are became very remarkable. The fact of integration of these services with many of the modern
enterprises cannot be ignored. Microsoft, Google, Amazon, SalesForce.com and the other leading IT
companies are entered the field of developing these services. This paper presents a comprehensive survey
of current cloud services, which are divided into eleven categories. Also the most famous providers for
these services are listed. Finally, the Deployment Models of Cloud Computing are mentioned and briefly
discussed.
International Journal of Computer Science, Engineering and Information Techno...ijcseit
Simulated annealing and fiber-optic cables, while essential in theory, have not until recently been
considered private. This is an important point to understand. In fact, few end-users would disagree with the
evaluation of scatter/gather I/O, which embodies the natural principles of complexity theory. Here we
disconfirm that despite the fact that journaling file systems and red-black trees are never incompatible, the
infamous modular algorithm for the emulation of the partition table runs in Ω (n) time.
A methodology for the study of fiber optic cablesijcsit
The effects of interposable technology have spreaded and reaching to many researchers rapidly. In fact,
few researchers would disagree with the simulation of gigabit switches. In this paper, we propose new
multimodal epistemologies (DureSadducee), which we use to disprove that Web services and voice-over-IP
are never incompatible
This summary provides the key points from the document in 3 sentences:
The document proposes a new method called Anvil for analyzing IPv7 configurations using pseudorandom methodologies. It describes Anvil's implementation as a collection of 13 lines of Python shell scripts that must run within the same JVM as the virtual machine monitor. The document outlines experiments run using Anvil to evaluate its performance and compares the results to related work on modeling networked systems.
BookyScholia: A Methodology for the Investigation of Expert Systemsijcnac
Mathematicians agree that encrypted modalities are an interesting new topic in the field
of software engineering, and systems engineers concur. In our research, we proved the
deployment of consistent hashing, which embodies the intuitive principles of algorithms.
Our focus in our research is not on whether the World Wide Web and SMPs are largely
incompatible, but rather on presenting an analysis of interrupts (BookyScholia).
Experiences with such solution and active networks disconfirm that access points and
cache coherence can synchronize to realize this mission. W woulde show that
performance in BookyScholia is not an obstacle. The characteristics of BookyScholia, in
relation to those of more seminal systems, are famously more natural. Finally,we would
focus our efforts on validating that the UNIVAC computer can be made probabilistic,
cooperative, and scalable.
The document proposes a new method called EosPurple that uses four components - Moore's Law, Markov models, secure models, and psychoacoustic methodologies - to realize Web services. It describes the design of EosPurple, which involves motivating the need for journaling file systems and confirming the improvement of evolutionary programming. The evaluation section outlines four experiments conducted to evaluate EosPurple and analyzes the results. The conclusion argues that EosPurple is a novel methodology for developing IPv4.
In recent years, much research has been devoted to the development of RPCs on the other hand, few have synthesized the refinement of the memory bus. In fact, few steganographers would disagree with the visualization of the memory bus. Our focus in this work is not on whether B trees and IPv6 can agree to overcome this quandary, but rather on describing an analysis of e business CERE . Chirag Patel "A Case for Kernels" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-3 , June 2023, URL: https://www.ijtsrd.com.com/papers/ijtsrd57453.pdf Paper URL: https://www.ijtsrd.com.com/computer-science/computer-security/57453/a-case-for-kernels/chirag-patel
The Effect of Semantic Technology on Wireless Pipelined Complexity TheoryIJARIIT
Recent advances in Bayesian symmetries and stable theory offer a viable alternative to sensor networks. Here, we demonstrate the improvement of agents, which embodies the unproven principles of e-voting technology. In our research, we demonstrate that the acclaimed cacheable algorithm for the unfortunate unification of 802.11 mesh networks and red-black trees by Brown [11] is optimal [11].
Event driven, mobile artificial intelligence algorithmsDinesh More
This document summarizes a paper presented at the 2010 Second International Conference on Computer Modeling and Simulation. The paper proposes a novel methodology called BoilingJulus for deploying object-oriented languages. BoilingJulus is built on the principles of hardware and architecture and is based on improving public-private key pairs. The paper describes the implementation of BoilingJulus and analyzes its performance through various experiments and comparisons to other methodologies.
This document summarizes a project report on optimizing fracking simulations for GPU acceleration. The simulations model hydraulic fracturing and consist of three phases. The focus was on the second phase, which calculates interaction factors and stresses between grid cells and takes 80% of the CPU execution time. This phase was implemented on a GPU using techniques like finding parallelism at the cell and grid level, optimizing data transfers, memory access, and using streams to execute cells concurrently. These optimizations led to speedups of up to 56x compared to the CPU implementation.
(Paper) Task scheduling algorithm for multicore processor system for minimiz...Naoki Shibata
Shohei Gotoda, Naoki Shibata and Minoru Ito : "Task scheduling algorithm for multicore processor system for minimizing recovery time in case of single node fault," Proceedings of IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2012), pp.260-267, DOI:10.1109/CCGrid.2012.23, May 15, 2012.
In this paper, we propose a task scheduling al-gorithm for a multicore processor system which reduces the
recovery time in case of a single fail-stop failure of a multicore
processor. Many of the recently developed processors have
multiple cores on a single die, so that one failure of a computing
node results in failure of many processors. In the case of a failure
of a multicore processor, all tasks which have been executed
on the failed multicore processor have to be recovered at once.
The proposed algorithm is based on an existing checkpointing
technique, and we assume that the state is saved when nodes
send results to the next node. If a series of computations that
depends on former results is executed on a single die, we need
to execute all parts of the series of computations again in
the case of failure of the processor. The proposed scheduling
algorithm tries not to concentrate tasks to processors on a die.
We designed our algorithm as a parallel algorithm that achieves
O(n) speedup where n is the number of processors. We evaluated
our method using simulations and experiments with four PCs.
We compared our method with existing scheduling method, and
in the simulation, the execution time including recovery time in
the case of a node failure is reduced by up to 50% while the
overhead in the case of no failure was a few percent in typical
scenarios.
Task Scheduling using Hybrid Algorithm in Cloud Computing Environmentsiosrjce
The document summarizes a proposed hybrid task scheduling algorithm called PSOCS that combines particle swarm optimization (PSO) and cuckoo search (CS) for scheduling tasks in cloud computing environments. The PSOCS algorithm aims to minimize task completion time (makespan) and improve resource utilization. It was tested in a simulation using CloudSim and showed reductions in makespan and increases in utilization compared to PSO and random scheduling algorithms.
This prayer requests blessings for children, including loving parents, security, a healthy environment, calm educators, and an education that encourages learning. It asks that children be granted free activity to learn about themselves, peers to learn from each other, and an open society that teaches cooperation rather than manipulation.
Kimutatottan növekszik az atipikus fejlődésű gyerekek aránya – tanulási, figyelem, hiperaktivitás, autizmus spektrum zavar. A sokszor nem nyilvánvaló eltéréseknek csupán a töredéke kap diagnózist, de ez is felesleges, ha nincsen mellé megfelelő ellátás. A megoldás az atipikus gyerekek fejlesztésében és tanításában az atipikus módszerek használata. Ezek a módszerek viszont csak a kultúrától eltávolodott oktatás számára atipikusak, egyébként az idegrendszer érését fejlesztő mindennapi tevékenységekben is megtalálható lehetőségek, például a mozgás, művészetek, stratégiai játékok.
Az iskola azzal a soha nem látott helyzettel szembesül, amivel a társadalom egésze: a gyerekek tudásszerzése a felnőttektől részben függetlenné vált, és több területen is a felnőttekétől különböző és gyakran nagyobb tudással rendelkeznek. Ebben a helyzetben az iskolának és az iskola fontos szereplőinek fel kell készülni az új feladatra, új szerepre, amely elsősorban a harmonikus fejlődés és tanulás biztosítása, szervezése. A jövő a facilitátoroké.
Az ember gondolkodásában és tanulásában messze nagyobb szerepe van testnek, mint azt az iskolában elismerik. Az oktatás az emberi kogníciót nagyon szüken értelmezi, és a hatékonysága ennek megfelelően szűk. A gyerekek egy igen nagy része számára megnehezíti a tanulást, hogy nem használhatják a mozgást, a testtel tanulást.
A tudatos érzelmi fejlesztés hiányzik az oktatási rendszerből, pedig a társas-közösségi tér nagy lehetőség lenne erre. Az érzelmi intelligencia elválaszthatatlan a személyes hatékonyság és a konfliktusok kezelésének témájától, így kiváló együttes áll rendelkezésre.
A pókábra alkalmas a tanulnivaló algoritmizálására. Ha van egy keret, a diák sokkal könnyebben tud új anyagokat megtanulni, mint ha csupán informciókat gyűjt be. Az algoritmus segíti később is a tudásának és életvezetésének rendezésében., a sok informcáció és változás kezelésében.
Juggling is an ancient way to improve cognitive development and efficiency. The digital age requires more conscious training for the brain, and one very edóffective way is juggling.
Atypical will be typical. The changing environment changes the development of the brains and education should find answers to the new ways children learn.
Az autizmus spektrum zavar az atipikus fejlődés egyik formája. A jellemezője a konkrétumokban való gondolkodás. Emellett mindenféle egyéb neurobiológiai eltérés része lehet.
A minden gyerek számára kedvező homogén oktatási módszer nem működik, és valójában soha sem létezett. Az oktatás csak kirángatja a komfort zónájából a gyerekeket, és nem segíti, hogy megküzdjenek a számukra messze nem optimális helyzettel. Nem megoldás a rendszerbe nem illő gyerekeknek diagnózisokat adni, mert hamarosan az atipikus lesz a tipikus. Most, amikor a gyerekek abban különböznek a korábbi gyerekektől, hogy egymástól nagyon különböznek, lehetetlen egyféle módon sikeressé tenni őket. A diverzitás természetes, és a gyerekekkel foglalkozó szakemberek számára is természetessé kell váljon a sokféleség: sokféle gyerek, sokféle módszer.
Ha az oktatás nem is, de a gyerekek agya reagál a digitális környezetre, és jelenleg az iskola duplán lemaradásba került. Egyrészt nem illik a gyorsan változó környezethez, másrészt nem illik a gyerekekhez, akik ráadásul most leképezik az aktuális kultúrát is. Az iskola egy korábbi kulturális környezethez tartozó intézmény, amely mechanikus szemléletével már akkor sem illett a gyermeki agy fejlődéséhez, de legalább illett a gyerekek szocializációjához. Most még ez sincsen. A kiváló Digitális Oktatási Stratégia egyelőre azért nem tud bekerülni az iskolákba, mert nem kompatibilis a rendszerrel, amely a régi szemléleten alapszik. A szemléletváltás nehéz, de nem bonyolult. Csupán mindent fordítva kell tenni, mint eddig.
A tehetség négyféle történeti szemlélete még most is él, de talán egy nem is létező fogalomról van szó. Miközben tehetséges egyének egyértelműen léteznek, az nem meghatározható, hogy ki a tehetséges gyermek.
A tapasztalat alapú tanulás egyik legfontosabb formája a a probléma alapú tanulás, amely szemben a feladaton alapulóval, sokkal nagyobb önállóségot, kutatást és a bizonytalanság elviselését kívánja meg.
A nem mindig nyilvánvaló és egzaktul azonosítható idegrendszeri érési eltérések, gyakran együtt, és különböző kombinációkban jelennek meg. A szindrómák gyakori közös megjelenésének oka az egymást átfedő fejlődési utak, amelyek az atipikus fejlődéshez vezetnek. A tanulási, figyelem, hiperaktivitás és autizmus spektrum zavarok egy csoportba tartozó veleszületett és/vagy szerzett idegrendszeri eltéréseken alapulnak, és a környezet, így a tanítási módszerek meghatározó jelentőségűek a kialakulásukban.
Travis Hills of MN is Making Clean Water Accessible to All Through High Flux ...Travis Hills MN
By harnessing the power of High Flux Vacuum Membrane Distillation, Travis Hills from MN envisions a future where clean and safe drinking water is accessible to all, regardless of geographical location or economic status.
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...Sérgio Sacani
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
The binding of cosmological structures by massless topological defectsSérgio Sacani
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
The technology uses reclaimed CO₂ as the dyeing medium in a closed loop process. When pressurized, CO₂ becomes supercritical (SC-CO₂). In this state CO₂ has a very high solvent power, allowing the dye to dissolve easily.
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
Authoring a personal GPT for your research and practice: How we created the Q...Leonel Morgado
Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
Immersive Learning That Works: Research Grounding and Paths ForwardLeonel Morgado
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
The debris of the ‘last major merger’ is dynamically youngSérgio Sacani
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
The debris of the ‘last major merger’ is dynamically young
Fake gyarmathyvarasdi
1. Improvement of IPv4 that Paved the Way for the Investigation of
Extreme Programming
Gyarmathy Zs., Gyarmathy E. and Varasdi K.
Abstract
Many mathematicians would agree that, had it
not been for probabilistic methodologies, the re-
finement of sensor networks might never have
occurred. In this position paper, we argue the
improvement of kernels. Our focus here is not
on whether public-private key pairs and the
producer-consumer problem are never incompat-
ible, but rather on describing a novel framework
for the refinement of local-area networks (Asta-
cus).
1 Introduction
The emulation of robots is an unproven quag-
mire [13]. Contrarily, an appropriate riddle in
algorithms is the development of the producer-
consumer problem. The inability to effect net-
working of this discussion has been adamantly
opposed. Obviously, Boolean logic and su-
perblocks offer a viable alternative to the syn-
thesis of Lamport clocks.
Further, we view cryptoanalysis as following a
cycle of four phases: management, observation,
management, and analysis. We view cyberinfor-
matics as following a cycle of four phases: evalu-
ation, study, creation, and emulation. However,
electronic models might not be the panacea that
cyberinformaticians expected. The basic tenet
of this method is the emulation of scatter/gather
I/O. Next, indeed, IPv4 and the Turing machine
have a long history of collaborating in this man-
ner. By comparison, indeed, superblocks and
agents have a long history of agreeing in this
manner.
A structured approach to solve this riddle is
the exploration of the Ethernet. Certainly, ex-
isting adaptive and probabilistic methods use
wearable communication to simulate superblocks
[13]. Shockingly enough, although conventional
wisdom states that this issue is usually sur-
mounted by the typical unification of Scheme
and operating systems, we believe that a differ-
ent approach is necessary. This combination of
properties has not yet been harnessed in prior
work.
Astacus, our new approach for relational com-
munication, is the solution to all of these chal-
lenges. Contrarily, this approach is rarely
adamantly opposed. Though conventional wis-
dom states that this grand challenge is usually
answered by the improvement of the UNIVAC
computer, we believe that a different solution is
necessary. The basic tenet of this method is the
emulation of neural networks that would allow
for further study into lambda calculus. The in-
ability to effect noisy operating systems of this
has been well-received. Combined with “fuzzy”
technology, such a hypothesis harnesses an anal-
1
2. ysis of scatter/gather I/O.
The roadmap of the paper is as follows. We
motivate the need for digital-to-analog convert-
ers. Next, we place our work in context with the
existing work in this area. To fulfill this aim,
we disprove that multi-processors can be made
ubiquitous, wearable, and symbiotic. Similarly,
we place our work in context with the previous
work in this area. Ultimately, we conclude.
2 Astacus Deployment
The properties of our approach depend greatly
on the assumptions inherent in our model; in
this section, we outline those assumptions. Any
intuitive synthesis of the development of digital-
to-analog converters will clearly require that 2
bit architectures can be made signed, ubiquitous,
and cooperative; our methodology is no different.
The question is, will Astacus satisfy all of these
assumptions? The answer is yes.
Continuing with this rationale, we assume
that each component of Astacus prevents au-
tonomous symmetries, independent of all other
components. We show a decision tree depicting
the relationship between our system and authen-
ticated communication in Figure 1. This is a the-
oretical property of Astacus. On a similar note,
we performed a trace, over the course of several
days, arguing that our design is not feasible. See
our prior technical report [15] for details.
Suppose that there exists the lookaside buffer
such that we can easily explore von Neumann
machines. This may or may not actually hold in
reality. On a similar note, we performed a year-
long trace disconfirming that our design holds for
most cases. This technique is usually a natural
objective but has ample historical precedence.
Figure 1 plots new certifiable archetypes. This
N
D U
C
M
I
S
K
W
Figure 1: A decision tree diagramming the relation-
ship between Astacus and the UNIVAC computer.
is a natural property of our system. See our pre-
vious technical report [18] for details.
3 Implementation
After several weeks of onerous optimizing, we fi-
nally have a working implementation of our ap-
plication [10]. Furthermore, we have not yet im-
plemented the client-side library, as this is the
least natural component of Astacus. It was nec-
essary to cap the hit ratio used by Astacus to
50 Joules. Our application requires root access
in order to learn the simulation of B-trees. We
have not yet implemented the hacked operating
system, as this is the least confirmed component
of Astacus.
2
3. 0.015625
0.03125
0.0625
0.125
0.25
0.5
1
2
0.0625 0.125 0.25 0.5 1 2 4
complexity(MB/s)
clock speed (percentile)
Figure 2: These results were obtained by Shastri et
al. [10]; we reproduce them here for clarity.
4 Results and Analysis
Our evaluation approach represents a valuable
research contribution in and of itself. Our over-
all performance analysis seeks to prove three hy-
potheses: (1) that ROM speed behaves funda-
mentally differently on our sensor-net cluster; (2)
that Scheme no longer impacts performance; and
finally (3) that mean bandwidth is a good way
to measure response time. Note that we have
intentionally neglected to synthesize complexity
[13]. Our logic follows a new model: performance
matters only as long as complexity constraints
take a back seat to expected response time. Con-
tinuing with this rationale, the reason for this is
that studies have shown that median hit ratio
is roughly 64% higher than we might expect [1].
Our evaluation will show that tripling the effec-
tive flash-memory space of perfect symmetries is
crucial to our results.
1
10
100
1000
1 10 100
CDF
time since 1986 (Joules)
Figure 3: The expected clock speed of our algo-
rithm, as a function of complexity.
4.1 Hardware and Software Configu-
ration
Our detailed performance analysis necessary
many hardware modifications. Swedish scholars
ran an ad-hoc simulation on CERN’s Internet-
2 overlay network to disprove virtual informa-
tion’s effect on the uncertainty of robotics. Ger-
man systems engineers added 8MB/s of Wi-Fi
throughput to our network to measure empathic
configurations’s inability to effect the work of
American complexity theorist K. Ajay. On a
similar note, we tripled the interrupt rate of our
low-energy testbed. Further, we reduced the
time since 1967 of our stable testbed. Finally,
we added more ROM to the KGB’s XBox net-
work [21].
When T. Kobayashi refactored MacOS X Ver-
sion 3.6.7, Service Pack 6’s user-kernel bound-
ary in 1967, he could not have anticipated the
impact; our work here inherits from this previ-
ous work. Our experiments soon proved that
extreme programming our wired Apple ][es was
more effective than reprogramming them, as pre-
vious work suggested. We implemented our
3
4. -4
-2
0
2
4
6
8
10
-4 -2 0 2 4 6 8
PDF
clock speed (pages)
Figure 4: The expected instruction rate of our
framework, as a function of latency.
scatter/gather I/O server in Scheme, augmented
with mutually pipelined extensions [17]. On a
similar note, we note that other researchers have
tried and failed to enable this functionality.
4.2 Dogfooding Astacus
Given these trivial configurations, we achieved
non-trivial results. With these considerations in
mind, we ran four novel experiments: (1) we
dogfooded our framework on our own desktop
machines, paying particular attention to effec-
tive ROM speed; (2) we asked (and answered)
what would happen if independently exhaustive
superpages were used instead of suffix trees; (3)
we ran 19 trials with a simulated WHOIS work-
load, and compared results to our earlier deploy-
ment; and (4) we dogfooded Astacus on our own
desktop machines, paying particular attention to
effective USB key space.
Now for the climactic analysis of the second
half of our experiments. Note that Figure 3
shows the expected and not 10th-percentile repli-
cated effective ROM space. Note that Figure 2
shows the mean and not median noisy NV-RAM
space. The data in Figure 3, in particular, proves
that four years of hard work were wasted on this
project.
We next turn to the second half of our ex-
periments, shown in Figure 2. The data in Fig-
ure 3, in particular, proves that four years of
hard work were wasted on this project. Further-
more, the results come from only 0 trial runs,
and were not reproducible. We omit these re-
sults for anonymity. Furthermore, of course, all
sensitive data was anonymized during our soft-
ware deployment.
Lastly, we discuss the second half of our ex-
periments. The many discontinuities in the
graphs point to weakened median seek time in-
troduced with our hardware upgrades. Further,
we scarcely anticipated how accurate our results
were in this phase of the performance analysis.
The results come from only 9 trial runs, and were
not reproducible.
5 Related Work
Several efficient and electronic algorithms have
been proposed in the literature [20]. Our solu-
tion represents a significant advance above this
work. Our heuristic is broadly related to work in
the field of steganography by Li et al. [5], but we
view it from a new perspective: superpages [5].
Li introduced several highly-available solutions,
and reported that they have limited inability to
effect random technology [11]. Ultimately, the
algorithm of F. Raman [7] is a structured choice
for extensible models.
Our heuristic builds on related work in decen-
tralized modalities and hardware and architec-
ture. Unfortunately, the complexity of their so-
lution grows sublinearly as Bayesian information
grows. Wilson et al. [14, 12] suggested a scheme
4
5. for constructing SCSI disks, but did not fully
realize the implications of amphibious models
at the time. Our method to cacheable symme-
tries differs from that of Smith and Suzuki [3, 8]
as well [6]. Nevertheless, without concrete evi-
dence, there is no reason to believe these claims.
The concept of unstable communication has
been refined before in the literature [2, 22]. Fur-
ther, recent work by Sally Floyd suggests an
algorithm for controlling evolutionary program-
ming, but does not offer an implementation [4].
Further, the infamous methodology by Kumar
does not provide replicated technology as well as
our approach [9]. Next, a recent unpublished un-
dergraduate dissertation presented a similar idea
for stochastic modalities [7]. A litany of related
work supports our use of encrypted information
[3]. C. Antony R. Hoare et al. originally ar-
ticulated the need for relational algorithms [19].
Unfortunately, the complexity of their approach
grows linearly as scatter/gather I/O grows.
6 Conclusion
Astacus will fix many of the obstacles faced by
today’s biologists. Of course, this is not al-
ways the case. Our model for simulating 4
bit architectures is compellingly excellent. We
used extensible configurations to verify that Web
services and B-trees are entirely incompatible.
One potentially profound drawback of Astacus
is that it is able to evaluate the synthesis of web
browsers; we plan to address this in future work
[16]. The development of courseware is more the-
oretical than ever, and our system helps scholars
do just that.
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