Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

Data Mining Practical Machine Learning Tools and Techniques

A Product-Service System (PSS) is an integrated combination of products and services. This Western concept embraces a service-led competitive strategy, environmental sustainability, and the basis to differentiate from competitors who simply offer lower priced products. This paper aims to report the state-of-the-art of PSS research by presenting a clinical review of literature currently available on this topic. The literature is classified and the major outcomes of each study are addressed and analysed. On this basis, this paper defines the PSS concept, reports on its origin and features, gives examples of applications along with potential benefits and barriers to adoption, summarizes available tools and methodologies, and identifies future research challenges.

/pdf/state-of-the-art-in-product-service-systems-rhv5mr09t0.pdf

State-of-the-art in product-service systems

https://bibliotecadigital.ipb.pt/bitstream/10198/1536/4/Agent-based%20distributed%20manufacturing%20control.pdf

Agent-based distributed manufacturing control: A state-of-the-art survey

Multiagent Systems is the title of a collection of papers dedicated to surveying specific themes of Multiagent Systems (MAS) and Distributed Artificial Intelligence (DAI). All of them authored by leading researchers of this dynamic multidisciplinary field.

/pdf/multiagent-systems-a-modern-approach-to-distributed-5fon0donq1.pdf

Multiagent systems: a modern approach to distributed artificial intelligence

This paper reports on industrial deployment of multi-agent systems and agent technology. It provides an overview of several application domains and an in-depth presentation of four specific case studies. The presented applications and deployment domains have been analyzed. The analysis indicates that despite strong industrial involvement in this field, the full potential of the agent technology has not been fully utilized yet and that not all of the developed agent concepts and agent techniques have been completely exploited in industrial practice. In the paper, the key obstacles for wider deployments are listed and potential future challenges are discussed.

Industrial deployment of multi-agent technologies: review and selected case studies

Holonic and multi-agent systems for manufacturing

Industrial applications of agent technologies

This position paper briefly gathers together the recent trends in the related aras of holonic systems and multi-agent systems with the main goal to present the Holonic Manufacturing Systems area to the MAS community. The vision of a Holonic Factory is very near to being realized, and draws a number of its concepts from the world of multi-agent systems. That is why many similarities can be identified between these two areas, and many opportunities exist for the crossover of research results. The IEC 61499 standard for real-time function-block oriented holonic control was completed recently. It has been recognized by the holonic manufacturing system community that this standard is able to help in solving low-level control tasks only. That is, where the time horizon of decisions made by holons (e.g. concerning stopping the physical movement of robots, or executing safety-critical tasks) is in the range of microseconds to seconds. Yet this standard does not address all the topics needed to construct an intelligent agile factory. The MAS area can significantly help to avoid the current deadlocks in HMS research. In terms of mutual impacts, holonic systems are based on pragmatic manufacturing control requirements, and so they can offer a wealth of attractive opportunities for deploying agent-based ideas into real industrial settings. And vice versa, the application of agents into manufacturing domains, connected with physical production, should motivate a MAS community that has (until now) concentrated on just information agents.

Holons & Agents: Recent Developments and Mutual Impacts

Analysis of gait features provides important information during the treatment of neurological disorders, including Parkinson’s disease. It is also used to observe the effects of medication and rehabilitation. The methodology presented in this paper enables the detection of selected gait attributes by Microsoft (MS) Kinect image and depth sensors to track movements in three-dimensional space. The experimental part of the paper is devoted to the study of three sets of individuals: 18 patients with Parkinson’s disease, 18 healthy aged-matched individuals, and 15 students. The methodological part of the paper includes the use of digital signal-processing methods for rejecting gross data-acquisition errors, segmenting video frames, and extracting gait features. The proposed algorithm describes methods for estimating the leg length, normalised average stride length (SL), and gait velocity (GV) of the individuals in the given sets using MS Kinect data. The main objective of this work involves the recognition of selected gait disorders in both the clinical and everyday settings. The results obtained include an evaluation of leg lengths, with a mean difference of 0.004 m in the complete set of 51 individuals studied, and of the gait features of patients with Parkinson’s disease (SL: 0.38 m, GV: 0.61 m/s) and an age-matched reference set (SL: 0.54 m, GV: 0.81 m/s). Combining both features allowed for the use of neural networks to classify and evaluate the selectivity, specificity, and accuracy. The achieved accuracy was 97.2 %, which suggests the potential use of MS Kinect image and depth sensors for these applications. Discussion points include the possibility of using the MS Kinect sensors as inexpensive replacements for complex multi-camera systems and treadmill walking in gait-feature detection for the recognition of selected gait disorders.

/pdf/motion-tracking-and-gait-feature-estimation-for-recognising-30ktsqyc1z.pdf

Vladimír Mařík

Papers

Industrial deployment of multi-agent technologies: review and selected case studies

Holonic and multi-agent systems for manufacturing

Industrial applications of agent technologies

Holons & Agents: Recent Developments and Mutual Impacts

Motion tracking and gait feature estimation for recognising Parkinson’s disease using MS Kinect