Nomination

2021 ◽  
pp. 48-69
Author(s):  
Ralf Müller ◽  
Nathalie Drouin ◽  
Shankar Sankaran
Keyword(s):  
Research Study ◽  
Project Managers ◽  
Influence Tactics ◽  
Team Members ◽  
Different Types ◽  
Selection Of

This chapter discusses how teams are nominated in projects. As teams are also used in organizations, the chapter points out the differences between the characteristics of teams in organizations and those in projects. Projects use different types of teams at different times; the types of teams used in projects and the sequence in which they are acquired are explained. The selection of appropriate team members is critical to the success of projects. Hence, the processes used in selecting them in practice are described. However, project managers may find it difficult to recruit the team members they need as they lack authority over resources in organizations. To overcome this, project managers should understand the role that influence plays in organizations and how influence can be used to secure resources for projects. A research study is summarized that illustrates some influence tactics that project managers use in practice in nominating team members to their projects.

scholarly journals La rappresentazione delle diversità nei materiali glottodidattici Un’indagine comparativa sui manuali di inglese americano e d’italiano per stranieri

2021 ◽  
Author(s):  
Michele Daloiso ◽  
Barbara D’Annunzio
Keyword(s):  
Foreign Language ◽  
Cultural Diversity ◽  
Research Study ◽  
Visual Representations ◽  
A Value ◽  
Different Types ◽  
Lgbt Community ◽  
Textbook Design ◽  
Selection Of

This chapter presents the results of a research study on the photographs used in a sample of foreign language coursebooks (FLC). The study aimed to determine to what extent the pictures are representative of the different types of diversity that constitute our societies. A corpus of 699 pictures taken from a selection of FLC of English and Italian was created. On the whole, the analysis showed that, while cultural diversity is widely present in the FLC, other types of diversity, such as disability or the LGBT community, are mostly neglected. The results of the study are relevant for researchers and publishers interested in inclusive textbook design, as it highlights the relevance of pictures in FLC not only as an aesthetic and pedagogical support, but also as visual representations of diversity as a value in our society.

Different Types of Materials Used for Stone Column

2013 ◽  
Vol 405-408 ◽  
pp. 155-157
Author(s):  
Mohd Ashraf Mohamad Ismail ◽  
Lye Khong Ng ◽  
Hooi Min Yee
Keyword(s):  
Research Study ◽  
Soft Soil ◽  
Stone Column ◽  
Consolidation Process ◽  
Column Material ◽  
Different Types ◽  
Materials Used ◽  
Selection Of

The degree of improvement of a soft soil by stone column is due to the inclusion of a stiffer column material and the densification of the surrounding soft soil during the installation of the vibrocompacted stone column itself and the subsequent consolidation process occurring in the soft soil before the final loading of improved soil. Research study on different materials for stone column has not attracted much attention. A systematic verification of the effectiveness of different materials for stone column need to be carried out. It is an important output to be presented as a general guidelines for the selection of proper stone column material which can be used effectively and economically.

PROMETHEE-based ranking of project managers based on the five personality traits

Kybernetes ◽  
2019 ◽  
Vol 49 (4) ◽  
pp. 1083-1102
Author(s):  
Georgios N. Aretoulis ◽  
Jason Papathanasiou ◽  
Fani Antoniou
Keyword(s):  
Personality Traits ◽  
Questionnaire Survey ◽  
Multicriteria Decision Making ◽  
Project Managers ◽  
Preference Ranking ◽  
Infrastructure Projects ◽  
Public Infrastructure ◽  
Content Type ◽  
The One ◽  
Selection Of

Purpose This paper aims to rank and identify the most efficient project managers (PMs) based on personality traits, using Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE) methodology. Design/methodology/approach The proposed methodology relies on the five personality traits. These were used as the selection criteria. A questionnaire survey among 82 experienced engineers was used to estimate the required weights per personality trait. A second two-part questionnaire survey aimed at recording the PMs profile and assess the performance of personality traits per PM. PMs with the most years of experience are selected to be ranked through Visual PROMETHEE. Findings The findings suggest that a competent PM is the one that scores low on the “Neuroticism” trait and high especially on the “Conscientiousness” trait. Research limitations/implications The research applied a psychometric test specifically designed for Greek people. Furthermore, the proposed methodology is based on the personality characteristics to rank the PMs and does not consider the technical skills. Furthermore, the type of project is not considered in the process of ranking PMs. Practical implications The findings could contribute in the selection of the best PM that maximizes the project team’s performance. Social implications Improved project team communication and collaboration leading to improved project performance through better communication and collaboration. This is an additional benefit for the society, especially in the delivery of public infrastructure projects. A lot of public infrastructure projects deviate largely as far as cost and schedule is concerned and this is an additional burden for public and society. Proper project management through efficient PMs would save people’s money and time. Originality/value Identification of the best PMbased on a combination of multicriteria decision-making and psychometric tests, which focus on personality traits.

scholarly journals Multi-Criteria Selection of Additives in Porous Asphalt Mixtures Using Mechanical, Hydraulic, Economic, and Environmental Indicators

2021 ◽  
Vol 13 (4) ◽  
pp. 2146
Author(s):  
Anik Gupta ◽  
Carlos J. Slebi-Acevedo ◽  
Esther Lizasoain-Arteaga ◽  
Jorge Rodriguez-Hernandez ◽  
Daniel Castro-Fresno
Keyword(s):  
Cellulose Fiber ◽  
Environmental Indicators ◽  
Asphalt Mixtures ◽  
Environmental Benefits ◽  
Modified Bitumen ◽  
Porous Asphalt ◽  
Different Types ◽  
Product Assessment ◽  
Polymer Modified Bitumen ◽  
Selection Of

Porous asphalt (PA) mixtures are more environmentally friendly but have lower durability than dense-graded mixtures. Additives can be incorporated into PA mixtures to enhance their mechanical strength; however, they may compromise the hydraulic characteristics, increase the total cost of pavement, and negatively affect the environment. In this paper, PA mixtures were produced with 5 different types of additives including 4 fibers and 1 filler. Their performances were compared with the reference mixtures containing virgin bitumen and polymer-modified bitumen. The performance of all mixes was assessed using: mechanical, hydraulic, economic, and environmental indicators. Then, the Delphi method was applied to compute the relative weights for the parameters in multi-criteria decision-making methods. Evaluation based on distance from average solution (EDAS), technique for order of the preference by similarity to ideal solution (TOPSIS), and weighted aggregated sum product assessment (WASPAS) were employed to rank the additives. According to the results obtained, aramid pulp displayed comparable and, for some parameters such as abrasion resistance, even better performance than polymer-modified bitumen, whereas cellulose fiber demonstrated the best performance regarding sustainability, due to economic and environmental benefits.

scholarly journals A Survey on Robotic Technologies for Forest Firefighting: Applying Drone Swarms to Improve Firefighters’ Efficiency and Safety

2021 ◽  
Vol 11 (1) ◽  
pp. 363
Author(s):  
Juan Jesús Roldán-Gómez ◽  
Eduardo González-Gironda ◽  
Antonio Barrientos
Keyword(s):  
Augmented Reality ◽  
Access To Information ◽  
Team Leaders ◽  
Team Members ◽  
Multiple Tasks ◽  
Different Types ◽  
Complete Survey ◽  
Virtual And Augmented Reality ◽  
Robotic Technologies

Forest firefighting missions encompass multiple tasks related to prevention, surveillance, and extinguishing. This work presents a complete survey of firefighters on the current problems in their work and the potential technological solutions. Additionally, it reviews the efforts performed by the academy and industry to apply different types of robots in the context of firefighting missions. Finally, all this information is used to propose a concept of operation for the comprehensive application of drone swarms in firefighting. The proposed system is a fleet of quadcopters that individually are only able to visit waypoints and use payloads, but collectively can perform tasks of surveillance, mapping, monitoring, etc. Three operator roles are defined, each one with different access to information and functions in the mission: mission commander, team leaders, and team members. These operators take advantage of virtual and augmented reality interfaces to intuitively get the information of the scenario and, in the case of the mission commander, control the drone swarm.

scholarly journals Methods for Preventing Visual Attacks in Convolutional Neural Networks Based on Data Discard and Dimensionality Reduction

2021 ◽  
Vol 11 (11) ◽  
pp. 5235
Author(s):  
Nikita Andriyanov
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Network Inference ◽  
Recognition Accuracy ◽  
Network Architectures ◽  
Reduced Dimensions ◽  
Different Types ◽  
Rectangular Area ◽  
Noise Impulse ◽  
Selection Of

The article is devoted to the study of convolutional neural network inference in the task of image processing under the influence of visual attacks. Attacks of four different types were considered: simple, involving the addition of white Gaussian noise, impulse action on one pixel of an image, and attacks that change brightness values within a rectangular area. MNIST and Kaggle dogs vs. cats datasets were chosen. Recognition characteristics were obtained for the accuracy, depending on the number of images subjected to attacks and the types of attacks used in the training. The study was based on well-known convolutional neural network architectures used in pattern recognition tasks, such as VGG-16 and Inception_v3. The dependencies of the recognition accuracy on the parameters of visual attacks were obtained. Original methods were proposed to prevent visual attacks. Such methods are based on the selection of “incomprehensible” classes for the recognizer, and their subsequent correction based on neural network inference with reduced image sizes. As a result of applying these methods, gains in the accuracy metric by a factor of 1.3 were obtained after iteration by discarding incomprehensible images, and reducing the amount of uncertainty by 4–5% after iteration by applying the integration of the results of image analyses in reduced dimensions.

An algebraic approach to N-soft sets with application in decision-making using TOPSIS

2021 ◽  
pp. 1-21
Author(s):  
Muhammad Shabir ◽  
Rimsha Mushtaq ◽  
Munazza Naz
Keyword(s):  
Decision Making ◽  
Mathematical Models ◽  
Real World ◽  
Algebraic Approach ◽  
Multi Criteria Decision Making ◽  
Commutative Monoids ◽  
Soft Sets ◽  
Algebraic Properties ◽  
Different Types ◽  
Selection Of

In this paper, we focus on two main objectives. Firstly, we define some binary and unary operations on N-soft sets and study their algebraic properties. In unary operations, three different types of complements are studied. We prove De Morgan’s laws concerning top complements and for bottom complements for N-soft sets where N is fixed and provide a counterexample to show that De Morgan’s laws do not hold if we take different N. Then, we study different collections of N-soft sets which become idempotent commutative monoids and consequently show, that, these monoids give rise to hemirings of N-soft sets. Some of these hemirings are turned out as lattices. Finally, we show that the collection of all N-soft sets with full parameter set E and collection of all N-soft sets with parameter subset A are Stone Algebras. The second objective is to integrate the well-known technique of TOPSIS and N-soft set-based mathematical models from the real world. We discuss a hybrid model of multi-criteria decision-making combining the TOPSIS and N-soft sets and present an algorithm with implementation on the selection of the best model of laptop.

scholarly journals Outlier Detection at the Parcel-Level in Wheat and Rapeseed Crops Using Multispectral and SAR Time Series

2021 ◽  
Vol 13 (5) ◽  
pp. 956
Author(s):  
Florian Mouret ◽  
Mohanad Albughdadi ◽  
Sylvie Duthoit ◽  
Denis Kouamé ◽  
Guillaume Rieu ◽  
...  
Keyword(s):  
Outlier Detection ◽  
Experimental Validation ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Multispectral Images ◽  
Vegetation Indexes ◽  
Crop Development ◽  
Different Types ◽  
Selection Of ◽  
Sentinel 2

This paper studies the detection of anomalous crop development at the parcel-level based on an unsupervised outlier detection technique. The experimental validation is conducted on rapeseed and wheat parcels located in Beauce (France). The proposed methodology consists of four sequential steps: (1) preprocessing of synthetic aperture radar (SAR) and multispectral images acquired using Sentinel-1 and Sentinel-2 satellites, (2) extraction of SAR and multispectral pixel-level features, (3) computation of parcel-level features using zonal statistics and (4) outlier detection. The different types of anomalies that can affect the studied crops are analyzed and described. The different factors that can influence the outlier detection results are investigated with a particular attention devoted to the synergy between Sentinel-1 and Sentinel-2 data. Overall, the best performance is obtained when using jointly a selection of Sentinel-1 and Sentinel-2 features with the isolation forest algorithm. The selected features are co-polarized (VV) and cross-polarized (VH) backscattering coefficients for Sentinel-1 and five Vegetation Indexes for Sentinel-2 (among us, the Normalized Difference Vegetation Index and two variants of the Normalized Difference Water). When using these features with an outlier ratio of 10%, the percentage of detected true positives (i.e., crop anomalies) is equal to 94.1% for rapeseed parcels and 95.5% for wheat parcels.

scholarly journals Heterogeneity of mesenchymal stem cells in cartilage regeneration: from characterization to application

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Kangkang Zha ◽  
Xu Li ◽  
Zhen Yang ◽  
Guangzhao Tian ◽  
Zhiqiang Sun ◽  
...  
Keyword(s):  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
Articular Cartilage ◽  
Cartilage Repair ◽  
Cartilage Damage ◽  
Cartilage Regeneration ◽  
Great Promise ◽  
Traditional Treatment ◽  
Different Types ◽  
Selection Of

AbstractArticular cartilage is susceptible to damage but hard to self-repair due to its avascular nature. Traditional treatment methods are not able to produce satisfactory effects. Mesenchymal stem cells (MSCs) have shown great promise in cartilage repair. However, the therapeutic effect of MSCs is often unstable partly due to their heterogeneity. Understanding the heterogeneity of MSCs and the potential of different types of MSCs for cartilage regeneration will facilitate the selection of superior MSCs for treating cartilage damage. This review provides an overview of the heterogeneity of MSCs at the donor, tissue source and cell immunophenotype levels, including their cytological properties, such as their ability for proliferation, chondrogenic differentiation and immunoregulation, as well as their current applications in cartilage regeneration. This information will improve the precision of MSC-based therapeutic strategies, thus maximizing the efficiency of articular cartilage repair.

How project managers can encourage and develop positive emotions in project teams

2014 ◽  
Vol 7 (3) ◽  
pp. 449-472 ◽  
Author(s):  
Morten Emil Berg ◽  
Jan Terje Karlsen
Keyword(s):  
Empirical Data ◽  
Positive Emotions ◽  
Project Managers ◽  
Engineering Industry ◽  
Project Teams ◽  
Future Research ◽  
Content Type ◽  
Team Members ◽  
Signature Strengths ◽  
Positive Meaning

Purpose – This study provides insight into how project managers can use leadership tools to encourage and develop positive emotions among the project team members toward greater overall project success. The purpose of this paper is to provide the engineering industry with a closer look at how positive emotions can create good team member relations, reduce stress, develop clearer roles, creativity and joy at the workplace. Design/methodology/approach – The empirical data were obtained using in-depth interviews of three experienced project managers. Findings – The empirical data give insight as to how project managers can use their signature strengths. Additionally, the data also show how they can evolve and draw on positive meaning, positive emotions and positive relations. Various examples of positive meaning, positive emotions, positive relations and signature strengths have been identified and discussed. Research limitations/implications – Future research should apply a more comprehensive research design, for example a survey using a larger sample, so that these findings may be generalized. Practical implications – The paper contributes to portray and analyze positive psychology in a project management setting. Additionally, the paper assists understanding the connections among positive meaning, positive emotions, positive relations and signature strengths by presenting and discussing a model. Originality/value – This research extends current understanding of how project managers use their signature strengths to encourage and develop positive emotions in project teams.

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