scholarly journals Analytic Rubric in Evaluating the Continuous Assessment in Projects of Civil Engineering Undergraduate Students in Dynamics Subject

2021 ◽  
Vol 17 (4) ◽  
pp. 352
Author(s):  
Nurbaiah Muhammad Noh ◽  
Mohd Raizamzamani Md Zain ◽  
Yazmin Sahol Hamid ◽  
Ilyani Akmar Abu Bakar ◽  
Mazlina Mohamad
Keyword(s):  
Undergraduate Students ◽  
Civil Engineering ◽  
Evaluation Criteria ◽  
Real Life ◽  
Performance Criteria ◽  
Continuous Assessment ◽  
Program Outcomes ◽  
Learning Instruction ◽  
And Control ◽  
Proper Interpretation

Abstract: This paper presents the assessment of a continuous assessment in a project for the Dynamics subject using an analytic rubric. Dynamics subject should improve the ability of students to evaluate and solve problems using well-understood basic concepts implemented in a simple logical manner. It focuses on the proper interpretation and application of the concepts of mechanics to the solution of engineering problems. To achieve the objective of being able to examine the issue of mechanics, students were asked to prepare a poster that must consist of the real-life application of dynamics, which they must incorporate in the sense of their poster the definition plus the use of basic fundamental principles. An analytic rubric was used as a scaffold in the evaluation of the continuous assessment of undergraduate students of civil engineering in the Dynamics subject. The continuous assessment referred to was the evaluation of a project called 'Poster Dynamics in Life.' Using analytic rubrics, lecturers in this engineering subject (Dynamics) may specifically list evaluation criteria to improve the synchronization of learning, instruction, and assessment. Besides, students may then use the rubric to organize their assigned project,  describe goals,  define and concentrate efforts where appropriate,  identify concerns relevant to the project, and  control the process in an attempt to construct a high-quality project. The results from this assessment show that most of the students achieved all the performance criteria at an acceptable level. Keywords: Undergraduates, Program outcomes, Dynamics subject, Assessment, Rubrics

scholarly journals Attainment of Program Outcomes under Psychomotor Domain for Civil Engineering Undergraduate Students

2019 ◽  
Vol 9 (13) ◽  
Author(s):  
Che Maznah Mat Isa ◽  
Estelle Octavia Joseph ◽  
Hamidah Mohd Saman ◽  
Janmaizatulriah Jan ◽  
Wardah Tahir ◽  
...  
Keyword(s):  
Undergraduate Students ◽  
Civil Engineering ◽  
Program Outcomes ◽  
Psychomotor Domain

scholarly journals Drone Deep Reinforcement Learning: A Review

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 999
Author(s):  
Ahmad Taher Azar ◽  
Anis Koubaa ◽  
Nada Ali Mohamed ◽  
Habiba A. Ibrahim ◽  
Zahra Fathy Ibrahim ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
State Of The Art ◽  
Real Life ◽  
Environment Monitoring ◽  
Simulated Environments ◽  
Infrastructure Inspection ◽  
Remote Sensing Mapping ◽  
And Control ◽  
The Military ◽  
Uav Navigation

Unmanned Aerial Vehicles (UAVs) are increasingly being used in many challenging and diversified applications. These applications belong to the civilian and the military fields. To name a few; infrastructure inspection, traffic patrolling, remote sensing, mapping, surveillance, rescuing humans and animals, environment monitoring, and Intelligence, Surveillance, Target Acquisition, and Reconnaissance (ISTAR) operations. However, the use of UAVs in these applications needs a substantial level of autonomy. In other words, UAVs should have the ability to accomplish planned missions in unexpected situations without requiring human intervention. To ensure this level of autonomy, many artificial intelligence algorithms were designed. These algorithms targeted the guidance, navigation, and control (GNC) of UAVs. In this paper, we described the state of the art of one subset of these algorithms: the deep reinforcement learning (DRL) techniques. We made a detailed description of them, and we deduced the current limitations in this area. We noted that most of these DRL methods were designed to ensure stable and smooth UAV navigation by training computer-simulated environments. We realized that further research efforts are needed to address the challenges that restrain their deployment in real-life scenarios.

scholarly journals Evaluation and Selection of Integrated Energy System Construction Scheme Equipped with Smart Energy Management and Control Platform Using Single-Valued Neutrosophic Numbers

2021 ◽  
Vol 13 (5) ◽  
pp. 2615
Author(s):  
Junqing Wang ◽  
Wenhui Zhao ◽  
Lu Qiu ◽  
Puyu Yuan
Keyword(s):  
Energy Management ◽  
Evaluation Criteria ◽  
Energy System ◽  
System Construction ◽  
Interval Numbers ◽  
Construction Scheme ◽  
Smart Energy Management ◽  
Integrated Energy System ◽  
And Control ◽  
Selection Of

Since application of integrated energy systems (IESs) has formed a markedly increasing trend recently, selecting an appropriate integrated energy system construction scheme becomes essential to the energy supplier. This paper aims to develop a multi-criteria decision-making model for the evaluation and selection of an IES construction scheme equipped with smart energy management and control platform. Firstly, a comprehensive evaluation criteria system including economy, energy, environment, technology and service is established. The evaluation criteria system is divided into quantitative criteria denoted by interval numbers and qualitative criteria. Secondly, single-valued neutrosophic numbers are adopted to denote the qualitative criteria in the evaluation criteria system. Thirdly, in order to accommodate mixed data types consisting of both interval numbers and single-valued neutrosophic numbers, the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method is extended into a three-stage technique by introducing a fusion coefficient μ. Then, a real case in China is evaluated through applying the proposed method. Furthermore, a comprehensive discussion is made to analyze the evaluation result and verify the reliability and stability of the method. In short, this study provides a useful tool for the energy supplier to evaluate and select a preferred IES construction scheme.

scholarly journals Characterization of Airborne Bacteria at an Underground Subway Station

2012 ◽  
Vol 78 (6) ◽  
pp. 1917-1929 ◽  
Author(s):  
Marius Dybwad ◽  
Per Einar Granum ◽  
Per Bruheim ◽  
Janet Martha Blatny
Keyword(s):  
Real Life ◽  
Performance Criteria ◽  
Anthropogenic Sources ◽  
Subway Station ◽  
Airborne Bacteria ◽  
Surveillance Systems ◽  
Operational Environment ◽  
Biological Detection ◽  
Content Type ◽  
Subway Stations

ABSTRACTThe reliable detection of airborne biological threat agents depends on several factors, including the performance criteria of the detector and its operational environment. One step in improving the detector's performance is to increase our knowledge of the biological aerosol background in potential operational environments. Subway stations are enclosed public environments, which may be regarded as potential targets for incidents involving biological threat agents. In this study, the airborne bacterial community at a subway station in Norway was characterized (concentration level, diversity, and virulence- and survival-associated properties). In addition, a SASS 3100 high-volume air sampler and a matrix-assisted laser desorption ionization–time of flight mass spectrometry-based isolate screening procedure was used for these studies. The daytime level of airborne bacteria at the station was higher than the nighttime and outdoor levels, and the relative bacterial spore number was higher in outdoor air than at the station. The bacterial content, particle concentration, and size distribution were stable within each environment throughout the study (May to September 2010). The majority of the airborne bacteria belonged to the generaBacillus,Micrococcus, andStaphylococcus, but a total of 37 different genera were identified in the air. These results suggest that anthropogenic sources are major contributors to airborne bacteria at subway stations and that such airborne communities could harbor virulence- and survival-associated properties of potential relevance for biological detection and surveillance, as well as for public health. Our findings also contribute to the development of realistic testing and evaluation schemes for biological detection/surveillance systems by providing information that can be used to mimic real-life operational airborne environments in controlled aerosol test chambers.

Using metavisualization to revise an explanatory model regarding a chemical reaction between ions

2021 ◽  
Author(s):  
Solange Wagner Locatelli ◽  
Bette Davidowitz
Keyword(s):  
Undergraduate Students ◽  
Chemical Reaction ◽  
Chemistry Education ◽  
Self Regulation ◽  
Real Life ◽  
Explanatory Models ◽  
Explanatory Model ◽  
Future Application ◽  
Correct Figure ◽  
Real Life Situation

The objective of this work was to evaluate the implementation of a metavisual strategy for students to revise and self-regulate concepts arising in a study of a chemical reaction between ions. For this purpose, two chemistry education undergraduate students at a Brazilian public university carried out an investigative activity, involving metavisual steps, to revise explanatory models at the submicro level. Students were given a problem, namely a reaction between ions drawn from a real-life situation and were provided with clay to construct an explanatory model of the submicro level for the initial and final stages of the reaction. The students were asked to compare their clay model with an example of a scientifically correct figure of the submicro level of the reaction generated by the researchers. At this stage students were given the option to reconstruct their model. Data were captured via photographs of the clay models and students’ verbal discussions as they proceeded through the activity. The findings reveal evidence of self-regulation of mental models at the submicro level, from the interaction of prior knowledge, chemical diagrams and discussions and reflections by the pair of students. Difficulties regarding chemical formulae were also observed in relation to the symbolic level. Finally, there are implications for teaching chemistry, since teachers in training need to experience metavisual strategies for future application in their classrooms.

Removing NOx Pollution by Photocatalytic Building Materials in Real-Life: Evaluation of Existing Field Studies

2021 ◽  
Vol 02 ◽  
Author(s):  
Pernille D. Pedersen ◽  
Nina Lock ◽  
Henrik Jensen
Keyword(s):  
Air Pollutants ◽  
Building Materials ◽  
Evaluation Criteria ◽  
Real Life ◽  
Ambient Air ◽  
Well Being ◽  
Good Health ◽  
Objective Evaluation ◽  
Field Studies ◽  
Hazardous Air Pollutants

: The NOx gasses (NO and NO2) are among the most important air pollutants, due to the toxicity of NO2, as well as the role of NOx in the tropospheric oxidation of Volatile Organic Carbons (VOCs), contributing to the formation of other hazardous air pollutants. Air pollution is one of the biggest health threats world-wide, hence reducing NOx levels is an important objective of the UN sustainable development goals, e.g. #3, “Good health and well-being” and #11 “Sustainable cities and communities”. Photocatalysis using TiO2 and light is a promising technique for removing NOx along with other pollutants, as demonstrated on laboratory scale. Furthermore, a long range of real-life test studies of varying scales have been conducted during the past two decades. The results of these studies have been conflicting, with some studies reporting no effect on the ambient air quality and others reporting significant reductions of NOx level. However, the studies are very difficult to compare and assess due to the very different approaches used, which consequently vary in quality. In this review, we aim to develop a set of objective evaluation criteria to assess the quality of the individual studies in order to simplify the interpretation and comparison of the existing studies. Moreover, we propose some guidelines for future test-studies. Furthermore, the approaches and main conclusions from 23 studies are independently assessed and discussed herein.

scholarly journals Use of Time- and Frequency-Domain Approaches for Damage Detection in Civil Engineering Structures

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
V. H. Nguyen ◽  
J. Mahowald ◽  
S. Maas ◽  
J.-C. Golinval
Keyword(s):  
Damage Detection ◽  
Frequency Domain ◽  
Prestressed Concrete ◽  
Civil Engineering ◽  
Damage Identification ◽  
Real Life ◽  
Hankel Matrix ◽  
Principal Component ◽  
Engineering Structures ◽  
Civil Engineering Structures

The aim of this paper is to apply both time- and frequency-domain-based approaches on real-life civil engineering structures and to assess their capability for damage detection. The methodology is based on Principal Component Analysis of the Hankel matrix built from output-only measurements and of Frequency Response Functions. Damage detection is performed using the concept of subspace angles between a current (possibly damaged state) and a reference (undamaged) state. The first structure is the Champangshiehl Bridge located in Luxembourg. Several damage levels were intentionally created by cutting a growing number of prestressed tendons and vibration data were acquired by the University of Luxembourg for each damaged state. The second example consists in reinforced and prestressed concrete panels. Successive damages were introduced in the panels by loading heavy weights and by cutting steel wires. The illustrations show different consequences in damage identification by the considered techniques.

Surface bypass as a means of protecting downstream-migrating fish: lack of standardised evaluation criteria complicates evaluation of efficacy

2018 ◽  
Vol 69 (12) ◽  
pp. 1882 ◽  
Author(s):  
Elena-Maria Klopries ◽  
Zhiqun Daniel Deng ◽  
Theresa U. Lachmann ◽  
Holger Schüttrumpf ◽  
Bradly A. Trumbo
Keyword(s):  
Performance Studies ◽  
Pearson Correlation ◽  
Evaluation Criteria ◽  
Fish Passage ◽  
Performance Criteria ◽  
Design Criteria ◽  
Good Surface ◽  
Wide Range ◽  
Student’S T ◽  
Meta Analyses

Surface bypasses are downstream migration structures that can help reduce hydropower-induced damage to migrating fish. However, no comprehensive design concept that facilitates good surface bypass performance for a wide range of sites and species is available. This is why fish-passage efficiencies at recently built bypass structures vary widely between 0% and up to 97%. We reviewed 50 surface bypass performance studies and existing guidelines for salmonids, eels and potamodromous species to identify crucial design criteria for surface bypasses employed in North America, Europe and Australia. Two-tailed Pearson correlation of bypass efficiency and bypass design criteria shows that bypass entrance area (r=0.3300, P=0.0036) and proportion of inflow to the bypass (r=0.3741, P=0.0032) are the most influential parameters on bypass efficiency. However, other parameters such as guiding structures (P=0.2181, ordinary Student’s t-test) and trash-rack spacing (r=–0.1483, P=0.3951, Spearman correlation), although not statistically significant, have been shown to have an effect on efficiency in some studies. The use of different performance criteria and efficiency definitions for bypass evaluation hampers direct comparison of studies and, therefore, deduction of design criteria. To enable meta-analyses and improve bypass design considerations, we suggest a list of standardised performance parameters for bypasses that should be considered in future bypass-performance studies.

scholarly journals Role Play Activities: An Innovative Approach to Teaching Speaking Skills in an ESL Classroom

2020 ◽  
Vol 7 (2) ◽  
pp. 19-36
Author(s):  
Nurhamimi Togimin ◽  
Haliza Jaafar
Keyword(s):  
Undergraduate Students ◽  
Role Play ◽  
Real Life ◽  
Target Language ◽  
Innovative Approach ◽  
Positive Effects ◽  
Real Life Situation ◽  
English Speaking ◽  
Esl Classroom ◽  
Speaking Skills

Encouraging students to speak during classroom activities is an effective strategy to improve their acquisition of the target language. Activities related to real life situation such as role play, debate and simulation provide substantial rehearsal and practice and they allow students to not just learn phrases, but also learn how to communicate in various circumstances. Recent studies have revealed that students who are exposed to learning using role play activities improve significantly in speaking competency. Hence, the aim of this study is to investigate how role play activities in an ESL classroom can be an innovative approach in improving students’ speaking skill. A total of nine undergraduate students from the Faculty of Computing in a public university in the Southern region of Malaysia were involved in this study. The main purpose for choosing the students as participants of the study was due to their low English proficiency based on their MUET results. The instruments used in this study were observation checklist and questionnaire. All the findings were tabulated and analysed qualitatively (observation checklist) as well as quantitatively (questionnaire). From the analysis carried out, it was evident that the students made positive improvement particularly in fluency, comprehension, context, and interactive communication. Besides that, the students felt that role play activities had brought positive effects on their English-speaking skills as obtained from the results of the questionnaire. Thus, it can be deduced that role play activities do have positive effects on students’ English-speaking skills.

scholarly journals An Integrated Approach to Product Delivery Planning and Scheduling

2011 ◽  
Vol 45 (1) ◽  
pp. 97-103 ◽  
Author(s):  
Galina Merkuryeva ◽  
Vitaly Bolshakov ◽  
Maksims Kornevs
Keyword(s):  
Cluster Analysis ◽  
Clustering Algorithm ◽  
Expert Knowledge ◽  
Real Life ◽  
Integrated Approach ◽  
Classification Model ◽  
Performance Criteria ◽  
Planning And Scheduling ◽  
Delivery Planning ◽  
Product Delivery

An Integrated Approach to Product Delivery Planning and SchedulingProduct delivery planning and scheduling is a task of high priority in transport logistics. In distribution centres this task is related to deliveries of various types of goods in predefined time windows. In real-life applications the problem has different stochastic performance criteria and conditions. Optimisation of schedules itself is time consuming and requires an expert knowledge. In this paper an integrated approach to product delivery planning and scheduling is proposed. It is based on a cluster analysis of demand data of stores to identify typical dynamic demand patterns and product delivery tactical plans, and simulation optimisation to find optimal parameters of transportation or vehicle schedules. Here, a cluster analysis of the demand data by using the K-means clustering algorithm and silhouette plots mean values is performed, and an NBTree-based classification model is built. In order to find an optimal grouping of stores into regions based on their geographical locations and the total demand uniformly distributed over regions, a multiobjective optimisation problem is formulated and solved with the NSGA II algorithm.

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