scholarly journals Cooperative Loitering Munition Swarm Online Patrolling Route Planning with Nonlinear Seeker Measurement

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Haifeng Ling ◽  
Hongchuan Luo ◽  
Linyuan Bai ◽  
Tao Zhu ◽  
Qing Wang ◽  
...  
Keyword(s):  
Decision Making ◽  
Cooperative Control ◽  
Information Quality ◽  
Autonomous Systems ◽  
Route Planning ◽  
Nonlinear Property ◽  
Airborne Radar ◽  
Autonomous Decision ◽  
Non Gaussian

With the development of autonomous systems, the operational use of loitering munition is shifting from the following of a preplanned fixed route without communication to smart decision-making and collaborative cooperation with sharing information. In this paper, we study the autonomous decision-making and cooperative control strategy of online patrolling for a swarm of loitering munitions using communication to coordinate their route based on maximizing the information they gathered in the operation region. Taking the non-Gaussian nonlinear property of airborne radar seeker into account, we utilized a particle filter-based method to evaluate or to predict the information quality of each action candidate. We also implemented a coordinate descent scheme to enable a distributed and scalable swarm decision-making. Simulation results show that the proposed method provides a better estimation than baselines without the need for external or centralized decision agent.

scholarly journals Do multidisciplinary cancer care teams suffer decision-making fatigue: an observational, longitudinal team improvement study

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e027303 ◽  
Author(s):  
Tayana Soukup ◽  
Tasha A K Gandamihardja ◽  
Sue McInerney ◽  
James S A Green ◽  
Nick Sevdalis
Keyword(s):  
Decision Making ◽  
Cancer Care ◽  
Information Quality ◽  
Primary Outcome ◽  
Audit And Feedback ◽  
Case Review ◽  
Quality Of Information ◽  
High Workload ◽  
Assess Quality

ObjectiveThe objective of this study was to examine effectiveness of codesigned quality-improving interventions with a multidisciplinary team (MDT) with high workload and prolonged meetings to ascertain: (1) presence and impact of decision-making (DM) fatigue on team performance in the weekly MDT meeting and (2) impact of a short meeting break as a countermeasure of DM fatigue.Design and interventionsThis is a longitudinal multiphase study with a codesigned intervention bundle assessed within team audit and feedback cycles. The interventions comprised short meeting breaks, as well as change of room layout and appointing a meeting chair.Setting and participantsA breast cancer MDT with 15 members was recruited between 2013 and 2015 from a teaching hospital of the London (UK) metropolitan area.MeasuresA validated observational tool (Metric for the Observation of Decision-making) was used by trained raters to assess quality of DM during 1335 patient reviews. The tool scores quality of information and team contributions to reviews by individual disciplines (Likert-based scores), which represent our two primary outcome measures.ResultsData were analysed using multivariate analysis of variance. DM fatigue was present in the MDT meetings: quality of information (M=16.36 to M=15.10) and contribution scores (M=27.67 to M=21.52) declined from first to second half of meetings at baseline. Of the improvement bundle, we found breaks reduced the effect of fatigue: following introduction of breaks (but not other interventions) information quality remained stable between first and second half of meetings (M=16.00 to M=15.94), and contributions to team DM improved overall (M=17.66 to M=19.85).ConclusionQuality of cancer team DM is affected by fatigue due to sequential case review over often prolonged periods of time. This detrimental effect can be reversed by introducing a break in the middle of the meeting. The study offers a methodology based on ‘team audit and feedback’ principle for codesigning interventions to improve teamwork in cancer care.

High Performance Work Systems and Organizational Outcomes: The Mediating Role of Information Quality

ILR Review ◽  
2003 ◽  
Vol 56 (4) ◽  
pp. 590-605 ◽  
Author(s):  
Gil A. Preuss
Keyword(s):  
Decision Making ◽  
High Performance ◽  
Information Quality ◽  
Knowledge Work ◽  
Care Hospital ◽  
Quality Of Information ◽  
Work Systems ◽  
High Performance Work Systems ◽  
Performance Quality

Using data on registered nurses and nursing assistants in 50 acute-care hospital units, the author explores the relationships among high performance work systems, information quality, and performance quality within a context shaped by equivocal information—information that can be interpreted in multiple and sometimes conflicting ways. He finds that the quality of information available for decision-making, which largely depends on the interpretative skills of the workers who are exposed to important equivocal information, partially mediates how employee knowledge, work design, and total quality management systems affect organizational performance (which is measured as the inverse of medication error incidence). Providing employees with extensive relevant knowledge and enabling them to use their skills during even seemingly routine tasks improves the effective quality of information they bring to decision-making, and thereby promotes high performance quality.

scholarly journals KUALITAS SUBYEKTIF SIPUS V3 DAN INFORMASI KELUARANNYA SEBAGAI PENDUKUNG KEPUTUSAN

2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Maryono Maryono ◽  
Tri Septiyantono
Keyword(s):  
Decision Making ◽  
Software Quality ◽  
Information Quality ◽  
Statistical Information ◽  
Subjective Quality ◽  
Time Behavior ◽  
Library Automation ◽  
Planning Policy ◽  
Indicator Score

This research entitled "The Subjective Quality of Sipus V3 software and its Information Output as a Support for Decision Making" was motivated by several problems happening during two years in the application of the software. Such automation software is expected to be able to support the success of library services and to produce statistical information for a decision making. The research aims to find out the quality of Sipus V3 software and its statistical information output, and the use of the output for supporting decision making. The research describes the subjective quality of Sipus V3 software, its statistical information output, and the use of the output in decision making process. The research employs a questionnaire method to collect data and its respondents are 44 librarians involving in Sipus V3 and 26 persons working at the information management department responsible for the statistic output of Sipus V3. By using a mean method for each indicator value, the result of the research shows that the high indicator score of Sipus V3 software quality as follows: usability-operability 3,75; efficiency of resources 3,75; efficiency of time behavior 3,68; usability-understandability 3,64; functionality-suitability 3,55; maintainability-stability for the rules of lending period and the number of items borrowed 3,43; reliabilityrecoverability 3,30; and maintainability-stability for holiday/closing days 3,20. In contrast, the low indicator score can be seen in the following: functionality-accuracy 2,84; and reliability-maturity 2,68. Furthermore the indicator score of Sipus V3 statistical information which is high is timeliness 3,31; conciseness 3,23; relevancy 3,15; and completeness 3,15. Whereas the low indicator score is accuracy 2,92. The use of Sipus V3 statistical information is very low, i.e. planning policy of circulation services 2,96; planning policy of collection development 2,88; library planning 2,69; and staffing for circulation staff 2,65. Keywords : library automation, software quality, information quality, decision support system

scholarly journals The Framework of 6G Self-Evolving Networks and the Decision-Making Scheme for Massive IoT

2021 ◽  
Vol 11 (19) ◽  
pp. 9353
Author(s):  
Bei Liu ◽  
Jie Luo ◽  
Xin Su
Keyword(s):  
Decision Making ◽  
Network Resource ◽  
Evolving Networks ◽  
Distributed Decision Making ◽  
Fifth Generation ◽  
Autonomous Decision ◽  
Sixth Generation ◽  
Smart Traffic ◽  
The Internet Of Things

The increasingly huge amount of device connections will transform the Internet of Things (IoT) into the massive IoT. The use cases of massive IoT consist of the smart city, digital agriculture, smart traffic, etc., in which the service requirements are different and even constantly changing. To fulfill the different requirements, the networks must be able to automatically adjust the network configuration, architectures, resource allocations, and other network parameters according to the different scenarios to match the different service requirements in massive IoT, which are beyond the abilities of the fifth generation (5G) networks. Moreover, the sixth generation (6G) networks are expected to have endogenous intelligence, which can well support the massive IoT application scenarios. In this paper, we first propose the framework of the 6G self-evolving networks, in which the autonomous decision-making is one of the vital parts. Then, we introduce the autonomous decision-making methods and analyze the characteristics of the different methods and mechanisms for 6G networks. To prove the effectiveness of the proposed framework, we consider one of the typical scenarios of massive IoT and propose an artificial intelligence (AI)-based distributed decision-making algorithm to solve the problem of the offloading policy and the network resource allocation. Simulation results show that the proposed decision-making algorithm with the self-evolving networks can improve the quality of experience (QoE) compared with the lower training.

scholarly journals Penentuan Prioritas Faktor Yang Mempengaruhi Kualitas Website Unika De La Salle Manado Dengan Metode Analytical Hierarchy Process

2018 ◽  
Author(s):  
Junaidy Budi Sanger
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Teaching And Learning ◽  
Information Quality ◽  
Human Perception ◽  
Internet Technology ◽  
System Quality ◽  
Eigen Values ◽  
Hierarchy Process

Unika De La Salle Manado is one of the university in Indonesia who have been using internet technology to support variety of activities such as teaching and learning, administration and other supporting activities. One of service that was established by this university is the university’s website. The quality of website assessed by human perception which is very subjective because it involves many variables in the process of decision making. Evaluation of the level of interest of these factors are important to understand. Analytical Hierarchy Process (AHP) is a method to evaluate various attributes in the decision. The objectives of this study was to determine factors that affect Unika De La Salle Manado website users using AHP method. The result showed there were four main criteria ranked by priority such as system quality, information quality, service quality, and attractiveness with each eigen values of 0.3665, 0.2323, 0.2054, and 0.1958. Overall on the alternative choice enjoyment got the highest eigen values of 0.5049 and the lowest is an alternative currency with eigen values of 0.0942. This research is expected to provide an overview on the factors of the quality of the website in order to increase the quality of Unika De La Salle Manado website and can be made for decision making to related parties.

scholarly journals Decision making in the context of business intelligence and data quality

2009 ◽  
Vol 11 (2) ◽  
Author(s):  
L. Marshall ◽  
R. De la Harpe
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Business Intelligence ◽  
Information Quality ◽  
Poor Quality ◽  
Quality Of Data ◽  
Literature Study ◽  
Business Confidence ◽  
The Right

[email protected] Making decisions in a business intelligence (BI) environment can become extremely challenging and sometimes even impossible if the data on which the decisions are based are of poor quality. It is only possible to utilise data effectively when it is accurate, up-to-date, complete and available when needed. The BI decision makers and users are in the best position to determine the quality of the data available to them. It is important to ask the right questions of them; therefore the issues of information quality in the BI environment were established through a literature study. Information-related problems may cause supplier relationships to deteriorate, reduce internal productivity and the business' confidence in IT. Ultimately it can have implications for an organisation's ability to perform and remain competitive. The purpose of this article is aimed at identifying the underlying factors that prevent information from being easily and effectively utilised and understanding how these factors can influence the decision-making process, particularly within a BI environment. An exploratory investigation was conducted at a large retail organisation in South Africa to collect empirical data from BI users through unstructured interviews. Some of the main findings indicate specific causes that impact the decisions of BI users, including accuracy, inconsistency, understandability and availability of information. Key performance measures that are directly impacted by the quality of data on decision-making include waste, availability, sales and supplier fulfilment. The time spent on investigating and resolving data quality issues has a major impact on productivity. The importance of documentation was highlighted as an important issue that requires further investigation. The initial results indicate the value of

scholarly journals A Collaborative Stakeholder Decision-Making Approach for Sustainable Urban Logistics

2019 ◽  
Vol 11 (1) ◽  
pp. 234 ◽  
Author(s):  
Ivana Semanjski ◽  
Sidharta Gautama
Keyword(s):  
Decision Making ◽  
Real Life ◽  
Route Planning ◽  
Traffic Sign ◽  
Suggested Approach ◽  
Local Contexts ◽  
Local Stakeholders ◽  
Points Of View ◽  
High Level

Cities strongly rely on efficient urban logistics to ensure their attractiveness, quality of life, and economic development. In the same time, they strive to ensure livable and safe environments around its road network, where the increased presence of light and heavy goods vehicles raises questions of regarding safety and environmental impacts. Recent literature has well-recognized the need to consider different stakeholders’ perspectives on these issues, in order to achieve desired outcomes. In this paper, we introduce a collaborative stakeholders’ decision-making approach for sustainable urban logistics, and demonstrate its applicability on a real-life example. The suggested approach extends existing route planning approaches by considering route sustainability as a part of an arc’s traversal cost. The integration of route sustainability is based on the adoption of a multi-criterial decision-making approach, with the possibility of including different stakeholders’ points of view, and evaluating the sustainability cost concerning the route’s spatial context. To demonstrate the applicability of the suggested approach, we extract the route sustainability cost from the traffic sign database, and implement the findings on a real-life example. Furthermore, the suggested approach exhibits a high level of transferability to various local contexts, where local stakeholders might have a different view on the route sustainability than is the case in our example.

Quality of information measures for autonomous decision-making

2004 ◽  
Author(s):  
R. Prasanth ◽  
J. Cabrera ◽  
J. Amin ◽  
R. Mehra ◽  
R. Purtell ◽  
...  
Keyword(s):  
Decision Making ◽  
Quality Of Information ◽  
Information Measures ◽  
Autonomous Decision

scholarly journals Do multidisciplinary cancer care teams suffer decision-making fatigue? An observational, longitudinal team improvement study

2019 ◽  
Author(s):  
Tayana Soukup ◽  
Tasha Gandamihardja ◽  
Nick Sevdalis ◽  
James Green
Keyword(s):  
Decision Making ◽  
Cancer Care ◽  
Information Quality ◽  
Primary Outcome ◽  
Audit And Feedback ◽  
Case Review ◽  
Quality Of Information ◽  
High Workload ◽  
Assess Quality

Objective: The objective of this study was to examine effectiveness of co-designed quality-improving interventions with a multidisciplinary team (MDT) with high workload and prolonged meetings to ascertain: (1) presence and impact of decision-making (DM) fatigue on team performance in the weekly MDT meeting, and (2) impact of a short meeting break as a countermeasure of DM fatigue.Design and interventions: This is a longitudinal multiphase study with a co-designed intervention bundle assessed within team audit and feedback cycles. The interventions comprised short meeting breaks, as well as change of room layout and appointing a meeting chair.Setting and participants: A breast cancer MDT with 15 members was recruited between 2013 and 2015 from a teaching hospital of the London (UK) metropolitan area. Measures: A validated observational tool (Metric for the Observation of Decision-making, MDT-MODe) was used by trained raters to assess quality of DM during 1,335 patient-reviews. The tool scores quality of information and team contributions to reviews by individual disciplines (Likert-based scores), which represent our two primary outcome measures. Results: Data were analysed using multivariate analysis of variance. DM fatigue was present in the MDT meetings: quality of information (M=16.36 to M=15.10) and contribution scores (M=27.67 to M=21.52) declined from 1st to 2nd half of meetings at baseline. Of the improvement bundle, we found breaks reduced the effect of fatigue: following introduction of breaks (but not other interventions) information quality remained stable between 1st and 2nd half of meetings (M=16.00 to M=15.94), and contributions to team DM improved overall (M=17.66 to M=19.85). Conclusion: Quality of cancer team DM is affected by fatigue due to sequential case-review over often prolonged periods of time. This detrimental effect can be reversed by introducing a break in the middle of the meeting. The study offers a methodology based on ‘team audit and feedback’ principle for co-designing interventions to improve teamwork in cancer care.

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