scholarly journals Dependency Graph Based on User Taxonomy and Related Parameters for more Efficient Collaborative Work

2017 ◽  
Vol 869 ◽  
pp. 195-211 ◽  
Author(s):  
Franca Alexandra Rupprecht ◽  
François M. Torner ◽  
Jörg Seewig ◽  
Achim Ebert
Keyword(s):  
State Of The Art ◽  
Collaborative Work ◽  
Dependency Graph ◽  
User Centered Design ◽  
Dependency Graphs ◽  
Software Products ◽  
Network State ◽  
Complex Process ◽  
Collaboration Process

Collaboration, performed by a large group of experts of diverse fields and competences, is a time-demanding and complex process. It is crucial to provide tools to facilitate the identification and manipulation of interdependencies as well as the active collaboration process. Dependency graphs of the participants can help to improve processes, to plan tasks, and to identify potential for more efficient cooperation. Such a dependency graph comprises clear defined entities, which are linked with each other based on defined relationships [1]. In the course of this work, a taxonomy of users in industrial corporations will be introduced, which is needed to define the entities and relationships of the dependency graph and is easily adaptable to specific corporations. Such a taxonomy cannot be found in the literature, but is important for the design and development of software products under the rules of user centered design [2]. However, there is still the big challenge to display a meaningful relation between those entities and to give an easy understandable overview of the whole relationship with the goal to solve complex tasks and to improve a groups’ performance. Therefore, a set of parameters will be introduced, which help to find out how good tasks and work packages are distributed within the network. State-of-the-art techniques are used to visualize and recognize interdependencies and information flow. Based on a case study, the findings of this work are embedded and combined in an interactive and intuitive user interface that facilitates planners to recognize and explore complex multi-dimensional networks.

Generating Predictable and Adaptive Dialog Policies in Single- and Multi-domain Goal-oriented Dialog Systems

2021 ◽  
Vol 15 (04) ◽  
pp. 419-439
Author(s):  
Nhat Le ◽  
A. B. Siddique ◽  
Fuad Jamour ◽  
Samet Oymak ◽  
Vagelis Hristidis
Keyword(s):  
State Of The Art ◽  
Directed Graphs ◽  
Dependency Graph ◽  
The Other ◽  
Middle Ground ◽  
User Characteristics ◽  
Dialog Systems ◽  
Dependency Graphs ◽  
Novel Structure ◽  
Art Research

Most existing commercial goal-oriented chatbots are diagram-based; i.e. they follow a rigid dialog flow to fill the slot values needed to achieve a user’s goal. Diagram-based chatbots are predictable, thus their adoption in commercial settings; however, their lack of flexibility may cause many users to leave the conversation before achieving their goal. On the other hand, state-of-the-art research chatbots use Reinforcement Learning (RL) to generate flexible dialog policies. However, such chatbots can be unpredictable, may violate the intended business constraints, and require large training datasets to produce a mature policy. We propose a framework that achieves a middle ground between the diagram-based and RL-based chatbots: we constrain the space of possible chatbot responses using a novel structure, the chatbot dependency graph, and use RL to dynamically select the best valid responses. Dependency graphs are directed graphs that conveniently express a chatbot’s logic by defining the dependencies among slots: all valid dialog flows are encapsulated in one dependency graph. Our experiments in both single-domain and multi-domain settings show that our framework quickly adapts to user characteristics and achieves up to 23.77% improved success rate compared to a state-of-the-art RL model.

scholarly journals Conservation of the Built Heritage: Pilot Site Approach to Design a Sustainable Process

Heritage ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 797-812 ◽  
Author(s):  
Davide Gulotta ◽  
Lucia Toniolo
Keyword(s):  
Collaborative Work ◽  
Scale Up ◽  
Real Data ◽  
Complex Surface ◽  
Pilot Site ◽  
Built Heritage ◽  
Conservation Project ◽  
Complex Process ◽  
Three Phase

The conservation project of built heritage is a complex process, dealing with an extremely heterogeneous range of elements and different substrates with a large variety of conservation conditions. In recent years, its sustainability has become a relevant issue, due to the general limitation of resources and unique features of cultural heritage assets. The conservation project, therefore, requires a thorough knowledge of the specific characteristics of the site, a reliable evaluation of the treatment’s efficacy and durability, and efficient control of procedures and timing of the site during the conservation activities. A suitable approach to design the intervention is the implementation of a pilot site for the knowledge of surfaces and structures, and for the testing of different operative procedures. This approach needs the collaborative work of a multidisciplinary team coordinated by the project manager. This paper reports on the design of the conservation project of the Renaissance façade of the Monza cathedral, with the development of a pilot site as a relevant example of a complex surface. The three-phase process—preliminary knowledge, testing and implementation of the treatment methodologies, and scale-up to the general conservation project—is described and discussed with significant reference to real data from the case study.

scholarly journals 3D IMAGE BASED GEOMETRIC DOCUMENTATION OF A MEDIEVAL FORTRESS

2019 ◽  
Vol XLII-2/W9 ◽  
pp. 699-705
Author(s):  
S. Tapinaki ◽  
M. Skamantzari ◽  
R. Chliverou ◽  
V. Evgenikou ◽  
A. M. Konidi ◽  
...  
Keyword(s):  
Laser Scanning ◽  
State Of The Art ◽  
Terrestrial Laser Scanning ◽  
3D Image ◽  
The Public ◽  
Complex Process ◽  
Close Range ◽  
Combination Of Methods ◽  
Topographic Surveys

<p><strong>Abstract.</strong> The detailed and thorough documentation of monuments is a rather complex process that requires the application of the best available state of the art techniques in order to preserve, restore, promote and make cultural heritage accessible to the public. This paper presents the 3D Geometric Documentation of a part of the medieval fortress of Chios, focussing in particular on the practical challenges which the object presented. The case study is a part of the fortified construction, consisting of a bastion, a watch tower on top of this bastion and a significant part of its walls with a surface of about 1053<span class="thinspace"></span>m<sup>2</sup> in total. The goal of the survey was to produce an accurate 3D detailed textured model and a series of coloured orthophotos and 2D vector drawings. The documentation methods employed included close-range automated photogrammetry and image-based modelling, terrestrial laser scanning and topographic surveys, an ideal combination of methods.</p>

Elle

2020 ◽  
Vol 14 (3) ◽  
pp. 268-280
Author(s):  
Kyle Kingsbury ◽  
Peter Alvaro
Keyword(s):  
State Of The Art ◽  
Distributed Databases ◽  
False Positives ◽  
Dependency Graph ◽  
Current State ◽  
Data Store

Users who care about their data store it in databases, which (at least in principle) guarantee some form of transactional isolation. However, experience shows that many databases do not provide the isolation guarantees they claim. With the recent proliferation of new distributed databases, demand has grown for checkers that can, by generating client workloads and injecting faults, produce anomalies that witness a violation of a stated guarantee. An ideal checker would be sound (no false positives), efficient (polynomial in history length and concurrency), effective (finding violations in real databases), general (analyzing many patterns of transactions), and informative (justifying the presence of an anomaly with understandable counterexamples). Sadly, we are aware of no checkers that satisfy these goals. We present Elle: a novel checker which infers an Adya-style dependency graph between client-observed transactions. It does so by carefully selecting database objects and operations when generating histories, so as to ensure that the results of database reads reveal information about their version history. Elle can detect every anomaly in Adya et al's formalism (except for predicates), discriminate between them, and provide concise explanations of each. This paper makes the following contributions: we present Elle, demonstrate its soundness over specific datatypes, measure its efficiency against the current state of the art, and give evidence of its effectiveness via a case study of four real databases.

Centrality Measures

2018 ◽  
Author(s):  
Ginestra Bianconi
Keyword(s):  
State Of The Art ◽  
Centrality Measures ◽  
Eigenvector Centrality ◽  
Multilayer Networks ◽  
Comprehensive Description ◽  
Multilayer Network ◽  
Suitable Definition ◽  
Katz Centrality ◽  
Pagerank Centrality

Defining the centrality of nodes and layers in multilayer networks is of fundamental importance for a variety of applications from sociology to biology and finance. This chapter presents the state-of-the-art centrality measures able to characterize the centrality of nodes, the influences of layers or the centrality of replica nodes in multilayer and multiplex networks. These centrality measures include modifications of the eigenvector centrality, Katz centrality, PageRank centrality and Communicability to the multilayer network scenario. The chapter provides a comprehensive description of the research of the field and discusses the main advantages and limitations of the different definitions, allowing the readers that wish to apply these techniques to choose the most suitable definition for his or her case study.

scholarly journals Photovoltaics Enabling Sustainable Energy Communities: Technological Drivers and Emerging Markets

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1862
Author(s):  
Alexandros-Georgios Chronis ◽  
Foivos Palaiogiannis ◽  
Iasonas Kouveliotis-Lysikatos ◽  
Panos Kotsampopoulos ◽  
Nikos Hatziargyriou
Keyword(s):  
State Of The Art ◽  
Research Question ◽  
Economic Benefits ◽  
Energy Market ◽  
Small Scale ◽  
Local Energy ◽  
Community Members ◽  
Open Research ◽  
Energy Community

In this paper, we investigate the economic benefits of an energy community investing in small-scale photovoltaics (PVs) when local energy trading is operated amongst the community members. The motivation stems from the open research question on whether a community-operated local energy market can enhance the investment feasibility of behind-the-meter small-scale PVs installed by energy community members. Firstly, a review of the models, mechanisms and concepts required for framing the relevant concepts is conducted, while a clarification of nuances at important terms is attempted. Next, a tool for the investigation of the economic benefits of operating a local energy market in the context of an energy community is developed. We design the local energy market using state-of-the-art formulations, modified according to the requirements of the case study. The model is applied to an energy community that is currently under formation in a Greek municipality. From the various simulations that were conducted, a series of generalizable conclusions are extracted.

scholarly journals Optimization of Low Head Axial-Flow Turbines for an Overtopping BReakwater for Energy Conversion: A Case Study

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4618
Author(s):  
Antonio Mariani ◽  
Gaetano Crispino ◽  
Pasquale Contestabile ◽  
Furio Cascetta ◽  
Corrado Gisonni ◽  
...  
Keyword(s):  
Energy Conversion ◽  
Control Strategy ◽  
Energy Production ◽  
San Antonio ◽  
Axial Flow ◽  
Complex Process ◽  
Low Head ◽  
Wave Power Conversion ◽  
And Control

Overtopping-type wave power conversion devices represent one of the most promising technology to combine reliability and competitively priced electricity supplies from waves. While satisfactory hydraulic and structural performance have been achieved, the selection of the hydraulic turbines and their regulation is a complex process due to the very low head and a variable flow rate in the overtopping breakwater set-ups. Based on the experience acquired on the first Overtopping BReakwater for Energy Conversion (OBREC) prototype, operating since 2016, an activity has been carried out to select the most appropriate turbine dimension and control strategy for such applications. An example of this multivariable approach is provided and illustrated through a case study in the San Antonio Port, along the central coast of Chile. In this site the deployment of a breakwater equipped with OBREC modules is specifically investigated. Axial-flow turbines of different runner diameter are compared, proposing the optimal ramp height and turbine control strategy for maximizing system energy production. The energy production ranges from 20.5 MWh/y for the smallest runner diameter to a maximum of 34.8 MWh/y for the largest runner diameter.

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