E-Business Interoperability and Collaboration

2011 ◽  
pp. 153-184
Author(s):  
Alexander Kipp ◽  
Lutz Schubert
Keyword(s):  
Seamless Integration ◽  
Distributed Workflow ◽  
Distributed Processes ◽  
Resource Virtualization ◽  
Business Entities ◽  
Business Interoperability ◽  
High Level ◽  
Computational Resources

Current e-business frameworks lack the capability of abstracting the underlying resource infrastructures in order to allow for seamless integration and thus smooth interaction between business entities. Mainly, such frameworks are unable to abstract human, as well as computing resources in a fashion that allows seamless integration into high-level distributed workflow descriptions. Usually, workflows or distributed processes are defined by managers with little background in IT specifications and platforms. Ideally, this should not be necessary at all; however, current solutions do not provide such abstraction support. In this chapter an approach is presented that will overcome this issue allowing for a high-level resource virtualization approach, in particular enabling the integration of human as well as computational resources within high-level workflow descriptions in a SOA fashion.

E-Business Interoperability and Collaboration

2011 ◽  
pp. 1306-1337
Author(s):  
Alexander Kipp ◽  
Lutz Schubert
Keyword(s):  
Seamless Integration ◽  
Distributed Workflow ◽  
Distributed Processes ◽  
Resource Virtualization ◽  
Business Entities ◽  
Business Interoperability ◽  
High Level ◽  
Computational Resources

Current e-business frameworks lack the capability of abstracting the underlying resource infrastructures in order to allow for seamless integration and thus smooth interaction between business entities. Mainly, such frameworks are unable to abstract human, as well as computing resources in a fashion that allows seamless integration into high-level distributed workflow descriptions. Usually, workflows or distributed processes are defined by managers with little background in IT specifications and platforms. Ideally, this should not be necessary at all; however, current solutions do not provide such abstraction support. In this chapter an approach is presented that will overcome this issue allowing for a high-level resource virtualization approach, in particular enabling the integration of human as well as computational resources within high-level workflow descriptions in a SOA fashion.

scholarly journals Rational metareasoning and the plasticity of cognitive control

2017 ◽  
Author(s):  
Falk Lieder ◽  
Amitai Shenhav ◽  
Sebastian Musslick ◽  
Tom Griffiths
Keyword(s):  
Cognitive Control ◽  
Self Control ◽  
Neural Pathways ◽  
Interference Control ◽  
Learning Mechanisms ◽  
Control Failure ◽  
Stimulus Features ◽  
High Level ◽  
Computational Resources ◽  
And Behavior

The human brain has the impressive capacity to adapt how it processes information to high-level goals. While it is known that these cognitive control skills are malleable and can be improved through training, the underlying plasticity mechanisms are not well understood. Here, we develop and evaluate a model of how people learn when to exert cognitive control, which controlled process to use, and how much effort to exert. We derive this model from a general theory according to which the function of cognitive control is to select and configure neural pathways so as to make optimal use of finite time and limited computational resources. The central idea of our Learned Value of Control model is that people use reinforcement learning to predict the value of candidate control signals of different types and intensities based on stimulus features. This model correctly predicts the learning and transfer effects underlying the adaptive control-demanding behavior observed in an experiment on visual attention and four experiments on interference control in Stroop and Flanker paradigms. Moreover, our model explained these findings significantly better than an associative learning model and a Win-Stay Lose-Shift model. Our findings elucidate how learning and experience might shape people’s ability and propensity to adaptively control their minds and behavior. We conclude by predicting under which circumstances these learning mechanisms might lead to self-control failure.

scholarly journals scAIDE: clustering of large-scale single-cell RNA-seq data reveals putative and rare cell types

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Kaikun Xie ◽  
Yu Huang ◽  
Feng Zeng ◽  
Zehua Liu ◽  
Ting Chen
Keyword(s):  
Single Cell ◽  
Large Scale ◽  
Developmental Trajectories ◽  
Cell Types ◽  
Random Projection ◽  
Good Representation ◽  
Rna Seq ◽  
Unsupervised Deep Learning ◽  
High Level ◽  
Computational Resources

Abstract Recent advancements in both single-cell RNA-sequencing technology and computational resources facilitate the study of cell types on global populations. Up to millions of cells can now be sequenced in one experiment; thus, accurate and efficient computational methods are needed to provide clustering and post-analysis of assigning putative and rare cell types. Here, we present a novel unsupervised deep learning clustering framework that is robust and highly scalable. To overcome the high level of noise, scAIDE first incorporates an autoencoder-imputation network with a distance-preserved embedding network (AIDE) to learn a good representation of data, and then applies a random projection hashing based k-means algorithm to accommodate the detection of rare cell types. We analyzed a 1.3 million neural cell dataset within 30 min, obtaining 64 clusters which were mapped to 19 putative cell types. In particular, we further identified three different neural stem cell developmental trajectories in these clusters. We also classified two subpopulations of malignant cells in a small glioblastoma dataset using scAIDE. We anticipate that scAIDE would provide a more in-depth understanding of cell development and diseases.

A Sensor-Driven Approach to Distributed Shop Floor Planning and Control

2003 ◽  
Author(s):  
Lihui Wang ◽  
Weiming Shen ◽  
Xiaoqian Li ◽  
Sherman Lang
Keyword(s):  
Shop Floor ◽  
Seamless Integration ◽  
Intelligent Sensor ◽  
Planning And Control ◽  
Intelligent Sensors ◽  
System A ◽  
Floor Planning ◽  
High Level ◽  
And Control ◽  
Made In

The objective of this research is to develop methodology and framework for distributed shop floor planning, real-time monitoring, and remote device control supported by intelligent sensors. An intelligent sensor serves runtime data from bottom up to facilitate high-level decision-making. It assures that correct decisions are made in a timely manner, if compared with the best estimations of engineers. Being an adaptive system, a so-designed framework will improve the flexibility and dynamism of shop floor operations, and provide a seamless integration among process planning, resource scheduling, job execution, process monitoring, and device control. This paper presents principles of the methodology, details in architecture design, module interactions, information flow, and a proof-of-concept prototype implementation.

scholarly journals Transportable open-source application program interface and user interface for generic humanoids: TOUGH

2020 ◽  
Vol 17 (3) ◽  
pp. 172988142092160
Author(s):  
Vinayak Jagtap ◽  
Shlok Agarwal ◽  
Ameya Wagh ◽  
Michael Gennert
Keyword(s):  
User Interface ◽  
Open Source ◽  
Humanoid Robots ◽  
Application Program Interface ◽  
Sensors And Actuators ◽  
Seamless Integration ◽  
Application Program ◽  
Diverse Field ◽  
High Level ◽  
Program Interface

Humanoid robotics is a complex and highly diverse field. Humanoid robots may have dozens of sensors and actuators that together realize complicated behaviors. Adding to the complexity is that each type of humanoid has unique application program interfaces, thus software written for one humanoid does not easily transport to others. This article introduces the transportable open-source application program interface and user interface for generic humanoids, a set of application program interfaces that simplifies the programming and operation of diverse humanoid robots. These application program interfaces allow for quick implementation of complex tasks and high-level controllers. Transportable open-source application program interface and user interface for generic humanoids has been developed for, and tested on, Boston Dynamics’ Atlas V5 and NASA’s Valkyrie R5 robots. It has proved successful for experiments on both robots in simulation and hardware, demonstrating the seamless integration of manipulation, perception, and task planning. To encourage the rapid adoption of transportable open-source application program interface and user interface for generic humanoids for education and research, the software is available as Docker images, which enable quick setup of multiuser simulation environments.

PROGRAM DEVELOPMENT FOR COMPUTATIONAL GRIDS USING SKELETONS AND PERFORMANCE PREDICTION

2002 ◽  
Vol 12 (02) ◽  
pp. 157-174 ◽  
Author(s):  
MARTIN ALT ◽  
HOLGER BISCHOF ◽  
SERGEI GORLATCH
Keyword(s):  
Performance Prediction ◽  
Computational Grid ◽  
Computational Grids ◽  
Programming System ◽  
Challenging Problem ◽  
Predicting Performance ◽  
Grid Applications ◽  
And Performance ◽  
High Level ◽  
Computational Resources

We address the challenging problem of algorithm and program design for the Computational Grid by providing the application user with a set of high-level, parameterised components called skeletons. We descrile a Java-based Grid programming system in which algorithmns are composed of skeletons and the computational resources for executing individual skeletons are chosen using performance prediction. The advantage of our approach is that skeletons are reusable for different applications and that skeletons' implementation can be tuned to particular machines. The focus of this paper is on predicting performance for Grid applications constructed using skeletons.

scholarly journals High-level networking with mobile code and first order AND-continuations

2001 ◽  
Vol 1 (3) ◽  
pp. 359-380 ◽  
Author(s):  
PAUL TARAU ◽  
VERONICA DAHL
Keyword(s):  
Data Structure ◽  
Mobile Agents ◽  
Network Code ◽  
Mobile Code ◽  
Remote Site ◽  
First Order ◽  
Programming Framework ◽  
Distributed Processes ◽  
Code Migration ◽  
High Level

We describe a scheme for moving living code between a set of distributed processes coordinated with unification based Linda operations, and its application to building a comprehensive Logic programming based Internet programming framework. Mobile threads are implemented by capturing first order continuations in a compact data structure sent over the network. Code is fetched lazily from its original base turned into a server as the continuation executes at the remote site. Our code migration techniques, in combination with a dynamic recompilation scheme, ensure that heavily used code moves up smoothly on a speed hierarchy while volatile dynamic code is kept in a quickly updatable form. Among the examples, we describe how to build programmable client and server components (Web servers, in particular) and mobile agents.

scholarly journals Ways to improve administrative and legal mechanism for ensuring the rights of business entities in the field of taxation

2020 ◽  
Vol 77 (2) ◽  
pp. 46-80
Author(s):  
А. М. Чорна
Keyword(s):  
Legal Regulation ◽  
The State ◽  
Public Authorities ◽  
The Public ◽  
Low Level ◽  
State Tax ◽  
Business Entities ◽  
High Level ◽  
Legal Mechanism ◽  
Constructive Interaction

The author of the article, based on the analysis of scientific views of scholars and current legislation of Ukraine, elaborates the ways to improve administrative and legal mechanism for ensuring the rights of business entities in the field of taxation. It is substantiated that the objective prerequisites for improving administrative and legal mechanism for ensuring the rights of business entities in the field of taxation are: 1) low level of trust of entrepreneurs in the tax service; 2) high level of corruption in the agencies of the State Tax Service; 3) imperfect mechanism of legal regulation of tax advice; 4) low level of quality and efficiency of functioning of administrative and legal mechanism of ensuring the rights and lawful interests of business entities as taxpayers, etc. It was stated that the first step towards improving administrative and legal mechanism for ensuring the rights of business entities in the field of taxation should be the improvement of the relevant administrative legislation. The expediency of improving the organizational structure of the State Tax Service is substantiated. Emphasis was placed on the need to improve the interaction of the State Tax Service with other public authorities and the public on ensuring the rights of business entities in the field of taxation. It is noted that the deep and constructive interaction of the State Tax Service of Ukraine with other public authorities and the public is undoubtedly an important guarantee of high quality and efficiency for ensuring the rights of business entities.

scholarly journals ROBOTIZATION IN MODERN CONDITIONS OF HUMAN RESOURCE MANAGEMENT

2020 ◽  
Vol 8 (2) ◽  
pp. 90-94
Author(s):  
S. Kuznecov ◽  
M. Kaschenko
Keyword(s):  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Large Scale ◽  
New Technologies ◽  
Control Practice ◽  
Economic Entity ◽  
Black Boxes ◽  
Business Entities ◽  
High Level

The study of the implementation of robotization in modern conditions of human resource management is becoming more and more relevant in our rapidly developing world. There are numerous discussions on the digitalization of the economy and humanity, large-scale and local trends in the use of advanced technologies and IT solutions by business entities are considered. The field of application of robots is rapidly expanding, and their actions are hidden for users, and in this sense HR-bots are "black boxes". Proceeding from this, scientists are faced with the task of thoroughly analyzing the structure, functions, etiquette and actions of robots on the efficiency of an economic entity. Researchers around the world are focusing on the transition to a human resource management model based on IT developments, opening up the ability to use big data for HR analysts. As for Russia, we can clearly see that new technologies are being introduced very progressively and the involvement of staff in the automation process within the organization is at a high level, but if we look much deeper, we will notice that in Russia automation is more focused on a separate business process rather than replacing the human unit with a robot. The purpose of this article is to study the development of robotization in modern conditions of human resource management, as well as to study the problems faced by business entities in connection with the implementation of robots in control practice.

scholarly journals PhosPiR: An automated phospho-proteomic pipeline in R

2021 ◽  
Author(s):  
Ye Hong ◽  
Dani Flinkman ◽  
Tomi Suomi ◽  
Sami Pietilä ◽  
Peter James ◽  
...  
Keyword(s):  
Large Scale ◽  
Differential Expression Analysis ◽  
Analysis Data ◽  
Statistical Testing ◽  
Pathophysiological Mechanism ◽  
Seamless Integration ◽  
Knowledge Resources ◽  
Data Output ◽  
Programming Knowledge ◽  
High Level

ABSTRACTLarge-scale phospho-proteome profiling using mass spectrometry (MS) provides functional insight that is crucial for disease biology and drug discovery. However, extracting biological understanding from this data is an arduous task requiring multiple analysis platforms that are not adapted for automated high-dimensional data analysis. Here, we introduce an integrated pipeline that combines several R packages to extract high-level biological understanding from largescale phosphoproteomic data by seamless integration with existing databases and knowledge resources. In a single run, PhosPiR provides data clean-up, fast data overview, multiple statistical testing, differential expression analysis, phospho-site annotation and translation across species, multi-level enrichment analyses, proteome-wide kinase activity and substrate mapping and network hub analysis. Data output includes graphical formats such as heatmap, box-, volcano- and circos-plots. This resource is designed to assist proteome-wide data mining of pathophysiological mechanism without a need for programming knowledge.

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