THE EVALUATION AND JUSTIFICATION OF THE EFFECTIVENESS OF 4D CAD USING MULTI-CRITERIA ANALYSIS

2014 ◽  
Vol 20 (6) ◽  
pp. 884-892 ◽  
Author(s):  
Marius Reizgevicius ◽  
Leonas Ustinovichius ◽  
Ruta Simanaviciene ◽  
Romas Rasiulis ◽  
Mykolas Peliksa

The article presents the results of the analysis focused on the effectiveness of 4D CAD the phenomenon of which has been analysed by foreign scientists considering a number of different aspects. The conducted research differs from prior literature as the objective, in our case, was to evaluate effectiveness and justify results using multi-criteria analysis. Effectiveness has been investigated through the construction experiment observing group performances applying two different types of information – 2D CAD and 4D CAD drawings. Research findings have proved that the efficiency of using the 4D model has been doubled given the same time constraints when the evaluating the completeness of the construction object. Research results have also showed that the use of the 4D model helped with completing the construction of the object much faster. A comparison of the results of the participants of two groups has revealed that the use of the 4D CAD model has twice reduced the occurrence of mistakes in the construction process and helped the participants with faster detecting and fixing the errors they made. TOPSIS, SAW and CORPAS multifunctional solution making methods were employed for 2D and 4D ranking during the experiment on 4D efficiency. The findings confirm that the 4D model is more rational, more convenient and efficient than the 2D model regarding all results of statistical and multi criteria analysis.

2020 ◽  
Author(s):  
John J Shaw ◽  
Zhisen Urgolites ◽  
Padraic Monaghan

Visual long-term memory has a large and detailed storage capacity for individual scenes, objects, and actions. However, memory for combinations of actions and scenes is poorer, suggesting difficulty in binding this information together. Sleep can enhance declarative memory of information, but whether sleep can also boost memory for binding information and whether the effect is general across different types of information is not yet known. Experiments 1 to 3 tested effects of sleep on binding actions and scenes, and Experiments 4 and 5 tested binding of objects and scenes. Participants viewed composites and were tested 12-hours later after a delay consisting of sleep (9pm-9am) or wake (9am-9pm), on an alternative forced choice recognition task. For action-scene composites, memory was relatively poor with no significant effect of sleep. For object-scene composites sleep did improve memory. Sleep can promote binding in memory, depending on the type of information to be combined.


Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 741
Author(s):  
Yuseok Ban ◽  
Kyungjae Lee

Many researchers have suggested improving the retention of a user in the digital platform using a recommender system. Recent studies show that there are many potential ways to assist users to find interesting items, other than high-precision rating predictions. In this paper, we study how the diverse types of information suggested to a user can influence their behavior. The types have been divided into visual information, evaluative information, categorial information, and narrational information. Based on our experimental results, we analyze how different types of supplementary information affect the performance of a recommender in terms of encouraging users to click more items or spend more time in the digital platform.


2020 ◽  
Vol 38 (1) ◽  
pp. 1-28 ◽  
Author(s):  
Bogeum Choi ◽  
Austin Ward ◽  
Yuan Li ◽  
Jaime Arguello ◽  
Robert Capra

2014 ◽  
Vol 935 ◽  
pp. 151-154 ◽  
Author(s):  
Sivakumar Naganathan ◽  
Charan Singh Jasbir Singh ◽  
Yim Wil Shen ◽  
Peng Eng Kiat ◽  
Sivadass Thiruchelvam

Nanotechnology can be used for design and construction processes in many areas since nanotechnology generated products have many unique characteristics. These characteristics can significantly fix current construction problems, and may change the requirement and organization of the construction process. This paper reviews the basic concept of nanotechnology, different types of nanomaterial and their manufacturing process as well as the applications of nanotechnology in different fields such as concrete, pavement engineering, construction materials. Use of nanotechnology is found to offer high performing and efficient materials. Specific application areas include water and waste water treatment, construction materials etc. The use of nanotechnology in civil engineering is still in infancy stage. The production methods, pollutions caused to human health, manufacturing difficulties, performance are the issues to be addressed in order to use the nanotechnology in civil engineering.


2013 ◽  
Vol 57 ◽  
pp. 945-951 ◽  
Author(s):  
Marius Reizgevičius ◽  
Leonas Ustinovičius ◽  
Romas Rasiulis

Author(s):  
Carlo Cialdai ◽  
Dario Vangi ◽  
Antonio Virga

This paper presents an analysis of the situation in which a two-wheeler (i.e. a motorcycle, where the term motorcycles includes scooters) falls over to the side and then successively slides; this typically occurs in road accidents involving this type of vehicle. Knowing the deceleration rate of the sliding phase allows the kinetic energy dissipated and the speed of the motorcycle just before the fall to the ground to be calculated. These parameters are very important in the analysis and reconstruction of accidents. The work presented in this paper was developed in two experimental test sessions on fully faired motorcycles which are mainly of the scooter type and widely used in urban areas. In the first session, sliding tests were carried out, with the speed in the range 10–50 km/h, on three different types of road surface. Analysis of the evidence allowed the dissipative main phases of motion of the motorcycle (the impact with the ground, the rebounds and the stabilized swiping) to be identified and some factors affecting the phenomenon to be studied. The coefficient of average deceleration was calculated using two typical equations. The second test session consisted of drag tests. In these tests, the motorcycle, which had previously laid on its side, was dragged for a few metres at a constant speed of about 20 km/h, while the drag force was measured. A comparison of the results obtained in these tests with those obtained in the sliding tests yielded very good agreement in the coefficients of deceleration.


2021 ◽  
pp. 1-12
Author(s):  
Lauro Reyes-Cocoletzi ◽  
Ivan Olmos-Pineda ◽  
J. Arturo Olvera-Lopez

The cornerstone to achieve the development of autonomous ground driving with the lowest possible risk of collision in real traffic environments is the movement estimation obstacle. Predicting trajectories of multiple obstacles in dynamic traffic scenarios is a major challenge, especially when different types of obstacles such as vehicles and pedestrians are involved. According to the issues mentioned, in this work a novel method based on Bayesian dynamic networks is proposed to infer the paths of interest objects (IO). Environmental information is obtained through stereo video, the direction vectors of multiple obstacles are computed and the trajectories with the highest probability of occurrence and the possibility of collision are highlighted. The proposed approach was evaluated using test environments considering different road layouts and multiple obstacles in real-world traffic scenarios. A comparison of the results obtained against the ground truth of the paths taken by each detected IO is performed. According to experimental results, the proposed method obtains a prediction rate of 75% for the change of direction taking into consideration the risk of collision. The importance of the proposal is that it does not obviate the risk of collision in contrast with related work.


2021 ◽  
Author(s):  
◽  
Lauren Vinnell

<p>To increase earthquake preparation, it is beneficial to understand the effects of different types of information used in risk communications. This thesis adapts methods that have been used with other hazards or in hypothetical situations and applies them to increasing support for current earthquake-strengthening legislation in Wellington, New Zealand (NZ). Study 1 examined valence and numerical format framing. Expressing the number of buildings affected by the legislation as a negatively-valenced frequency was found to be most effective at increasing earthquake-related judgments¹. Study 2 examined descriptive and injunctive norms and found that a range of subject factors such as age and previous knowledge of the legislation influenced the effects of norms. Study 3 used the same manipulation and included a sample from Palmerston North, where earthquake risk perceptions are lower. This study showed several clear norm effects, with the combination of both descriptive and injunctive norms the most effective at increasing support for the earthquake legislation. All three studies showed that belief in the effectiveness of strengthening earthquake-prone buildings predicted support for the legislation and lower earthquake-risk tolerance, suggesting that this could be a key perception to target in communications. Overall, these studies suggest that certain messages are more effective at increasing support for the governmental legislation, but also that framing and social norm effects on real-world issues interact with other variables such as age and knowledge which ought to be examined further to increase the usefulness of psychological research to risk communication.  ¹ The results of this study have been accepted for publication as a peer-reviewed journal article: Vinnell, L. J., McClure, J., & Milfont, T. L. (in press). Do framing messages increase support for earthquake legislation? Disaster Prevention and Management, 26(1).</p>


2016 ◽  
Vol 13 (2) ◽  
pp. 21-36 ◽  
Author(s):  
Bixia Xu ◽  
Zhulin Huang

ABSTRACT Search engines are among the most important information technology (IT) applications and platforms on which to conduct information search. This study contributes by investigating whether and how the search engine-enabled information search is related to accounting information effectiveness. We develop the concept of information traffic to conceptualize investor IT-enabled information search activities and to explore whether the searches captured by this concept provide any insights for understanding and enhancing accounting information effectiveness. Building upon the input-process-output model (Maines and McDaniel 2000) and with a sample of 59 accounting information items, we report that information items with higher information traffic have greater ability to explain and predict firm market value (i.e., higher information effectiveness). The impact of information traffic on information effectiveness is higher for economic upturns than for economic downturns and differs among different types of information. We propose a conceptual measure that integrates both information traffic and information effectiveness to capture information relative importance and to suggest empirically an order in importance of the ten types of information we investigate. Our dynamic analysis of information traffic reveals a significant increase of investor IT-enabled information search in the post-financial-crisis period. It also shows higher search increases for accounting items that received previously scant investor attention.


Author(s):  
Li Yu ◽  
Sang-Binge Tsai ◽  
Dakai Li ◽  
Limei Teng ◽  
Guodong Li

As the online purchasing is becoming prevalent, more and more corporates started to show their CSR information in the processes of online retail. For example: some CSR information could be showed in the “COMMODITY DETAILS”. Could this kind of information affect consumer behavior? By recognizing three types of embedded CSRC information, according to the consumer behavior experiments, this paper will show CSR's influences on the consumer behavior such as evaluation of the company, purchasing intention, and purchasing intention. By the comparison of the results after three types' CSR communication, we found that CSR information could significantly affect consumer behavior and the consumer response will differ from different types of CSR information embedded.


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