scholarly journals Implementation of the digital training concept in the basic flight training in the Serbian Military Academy

2022 ◽  
Vol 70 (1) ◽  
pp. 87-108
Author(s):  
Slaviša Vlačić ◽  
Aleksandar Knežević ◽  
Vladimir Grbović ◽  
Panos Vitsas ◽  
Mihajlo Mihajlovic

Introduction/purpose: The paper provides a review of recent research in the field of digital training applied in the Serbian Military Academy flight training. Flight training represents the foundation of successful education of military pilots. Its division is based on the environment and a phase of realization. The main part and the core of successful flight training is basic flight training. This training phase has experienced significant changes with the introduction of the Technically Advanced aircraft (TAA) which is characterized by a high degree of digitalization not only of the cockpit but also of other aircraft systems. Consequently, a different methodological approach to training is needed, including a digital training concept. The paper shows the achievements and certain solutions based on some elements of digital training concepts used in the basic flight training at the Serbian Military Academy. Methods: The scientific approach is used in the evaluation of aircraft cockpit digitalization and in the implementation of a new training concept in the basic flight training in the Serbian Military Academy. Results: Based on the methodological analysis used, the importance and the values of the digital training concept in basic flight training are shown. Conclusion: Although the digital training concept is not mandatory in the existing flight training model in the Serbian Military Academy, it proves to be a valuable asset. Its potential is significant and, to a certain extent, it can change the nature of basic flight training. Due to digital training, cadets can fly more safely and their flying skills are acquired faster. In accordance with new modern aircraft acquisition in the Serbian Air Force, every aspect of the digital training concept has to be carefully considered, especially in the basic flight training phase, including conversion to new aircraft types.

2020 ◽  
Vol 47 (2) ◽  
pp. 202-214
Author(s):  
Joao Soliman-Junior ◽  
Carlos T. Formoso ◽  
Patricia Tzortzopoulos

Healthcare projects are known for having a high degree of complexity. Furthermore, the design of healthcare facilities is highly constrained by regulations containing a wide range of requirements. Using BIM for automated rule checking has been pointed out as an opportunity to improve requirements management in these projects. However, most existing research is focused on hard-coded approaches or on limited sets of requirements. The aim of this investigation is to propose a semantic-based framework for automated rule checking in the context of healthcare design. An empirical study was conducted in the redevelopment of a university hospital, using Design Science Research as a methodological approach. Results indicate that the nature of regulations and the subjectivity of requirements have a major impact on the possibility of their translation into logical rules, which is needed to enable automated checking. The main theoretical contribution is a taxonomy for automated rule checking and information transformation.


2020 ◽  
Vol 9 (3) ◽  
pp. 988-995
Author(s):  
Muayed S. AL-Huseiny ◽  
Noor Khudhair Abbas ◽  
Ahmed S. Sajit

Arrhythmia is the prime indicator of serious heart issues, and, hence, it is essential to be detected properly for early phase treatment. This article presents an approach for the diagnosis of cardiac disorders via the recognition of 17 types of arrhythmia. The proposed approach includes building a convolution neural network (2D-CNN) which is trained by using images of Electrocardiograph (ECG) signals collected from the MIH-BIH database. The ECGs are first converted into images. This step serves twofold: first, CNN is best suited for classifying image data and thus reduces preprocessing, and second, most ECG recordings are still being produced on thermal paper which can then be captured as image. Next, 2D-CNN is trained and validated. Test results show that the proposed method achieves classification accuracy of 96.67% and error of 0.004%. in addition to the superior accuracy achieved by this method compared to the previous literature, this approach enjoys reduced processing time and complexity apart from the training phase, also by dealing with images this method offers high degree of versatility and can be integrated as utility within other applications or wearables.


Author(s):  
Yan Xu

The first chapter introduces the history of the Whampoa Military Academy by relaying how it began, the intentions behind its foundation, and how cadets were taught civic education. Xu notes how the academy regularly delved into cadets’ personal lives by reading their correspondence and eavesdropping on conversations. Xu continues by examining the speeches and lectures to the cadets of the academy as well as the commandant Chiang Kai-shek’s efforts to build additional branch campuses during the Second Sino-Japanese War. Much of Chiang’s efforts to increase morale within the cadets’ ranks celebrated physical sacrifice as heroic and dutiful, therefore, corroborating in the creation of a specific soldier figure during this time. The memoirs of Whampoa graduates reveal that Chiang’s intentions were not fully achieved since the discourse of the soldier figure constructed by Chiang was confronted or resisted by some Whampoa cadets and provincial warlords


2021 ◽  
Vol 19 (1) ◽  
pp. 53-58
Author(s):  
Cristian MANOLACHI ◽  

The establishment of the Military Aviation 110 years ago, a historical event with reference to the audacious flight made by the engineer Aurel Vlaicu, on the Cotroceni land, with the Vlaicu airplane no. 1 on June the 17th, 1910, the founding of the first Civil Pilot Schools and, later on, of the first Military Flight Training School, specialized aeronautical institutions that will initiate the training of military pilots, represents the starting point that will generate major debates in the leadership and political factors of the Armed Forces, regarding the theoretical and practical methods for the development of this new reality at the beginning of the twentieth century, the selection of the human resource excellently trained and motivated to carry out fearlessly and courageously dangerous activities in the field of air weapons, but also the taking of some measures to regulate the status, the obligations and rights of the aeronautical personnel, aspects that will find their solution by developing innovative legal instruments, adapted to the requirements of the times, which will decisively influence modern developments in the fundamental area of Air Law.


2018 ◽  
Vol 1 (2(14)) ◽  
pp. 147-153
Author(s):  
Igor Mykhailovych Posokhov ◽  
Nadezhda Oleksiivna Horenko ◽  
Viktor Volodymyrovych Chelak

Urgency of the research. Every day, scientists solve problems in economics. To find, which action leads to the expected result with the smallest losses and risks, it’s necessary to predict the further development of events. Target setting. The most widespread problem is the allocation of resources. To make proper calculations and right decisions of distribution, the science of economic theory exists. Actual scientific researches and issues analysis. The studies of Khaikin S. and Callan R. are the most famous among the studies of foreign authors. Yakhyaeva G. E. investigated the theory of neural networks. Matviychuk A. V. suggested a methodical approach to forecasting financial time series with the use of neural networks. Uninvestigated parts of general matters defining. At the moment about 200 methods of estimation are being used, but in practice only a few of them are used. The research objective. The study of each criterion takes a lot of time on preparation of data for the study and careful verification of the original data. For this, it is necessary to choose the correct methodology for developing a forecast to identify the problems to be solved. The statement of basic materials. In this article, the stages of research and prediction are considered of wholesale prices for petroleum products, a methodological approach is proposed in order to evaluate the accuracy of forecasting using neural networks, based on an algorithm with linear partial descriptions of the method of group accounting of the argument. Conclusions. The proposed methodological approach to estimating the accuracy of forecasting using neural networks shows that neural networks allow us to obtain reliable predictions. However, the data on which the training took place had a high degree of similarity among itself, therefore the proposed methodological approach on the one hand does not pretend to be "universal" in forecasting for different sectors of the Ukrainian economy, since different industries have their own characteristics. On the other hand, it can become universal and will allow us to obtain reliable forecasts when taking into account modern features of the development of the Ukrainian economy.


2018 ◽  
Vol 1 (3) ◽  
Author(s):  
Na Zhu ◽  
Qiang Tang ◽  
Xiuyun Li

Objective The ultimate goal of athletic training is to perform the optimum competitive states in the competitions. The research has shown that one of the key factors to achieve the goal is effective and appropriate Tapering in preparing period. By systematically and completely tracing and summarizing the Tapering in endurance events with altitude training at the entire training period which could provide a better guidance for the training and bring into an furthest effects, providing a real reference cases for achieving competitive targets and scientific training. Methods Have Selected 20 players and 10 games from annual competitions (National Championships, the National Games, World Games, Olympic qualifiers etc.) from 2011 to 2017, which involved 9 players who are the international master athletes and 11 players who are the National master athletes with 4-10 years of training. According to entire preparing period schedule and training targets to analyze the intensity, volume and rhythm of training, recording the athletes whose Hb(hemoglobin) number in different circulatory sports and concluding the athlete’s Tapering mode and effects. Results 1. The systematical time of preparing for competition was 65±5 days; 2. The entire training arrangements comprised of four stages: the plain training preparation phase, the altitude training phase, the plain training, pre-competition training phase; 3. Applied single peak and single cycle training model, the training structure was cycling 12 to 15 to 10 to 15 to 26kms, and the maximum training interval was 5-7 days after highest intensity training. 4. The tapering was engaged in the first week before the altitude training phase and 10-12days before competition; 5. The training load decreased 10-15%,the training intensity decreased by 25%-30% and the training volume was maintained to 90-105% during the first Tapering which mainly decrease training intensity; 6. During the second Tapering, the training load decreased by 40-60%, the training intensity was 90%-95% and at the key class, training intensity was more than 100% which mainly decrease training volume; 7. The training frequency was kept at 95-105% at two Tapering training phases; 8. Athletes’ Hb number was maintained at  132.04 ±6.53IU. The whole adjustments varied with the Tapering training arrangements. Conclusions 1. There were two Tapering training models with altitude training characteristics before the preparing competition period; 2. The one Tapering was decreasing training volume passively at the beginning of the altitude training, and the another Tapering was decreasing volume initiatively before the competition. 3. The first Tapering was to reduce the intensity of training, and the second Tapering was to reduce the volume of training; 4. The first Tapering is last 5 to 7days, and the second Tapering last 10 to 12days; 5. The entire preparing preformed as hyperbolic mode. The first tapering was the exponential tapering(slow decay), and the second tapering was the exponential tapering(fast decay); 6. The athletics’ function capacity changes vary with the changes of Tapering. When the ability of adaption was quicker, the competitive states improved.


2021 ◽  
Vol 43 ◽  
pp. e51335
Author(s):  
Juliano Prado Stradioto ◽  
Ariel Orlei Michaloski

The economic growth of a country is directly linked to the growth of several sectors, in which the construction sector is prominent. The objective was to investigate by means of ergonomic analysis the external coating activity performed on building façades, due to its high degree of difficulty. The methodological approach was composed by a review of the literature and quantitative research using the OCRA checklist method, highlighting the biomechanical overload risk analysis of the external coating activity in mortar based on International Standard ISO 11228-3: 2009. The data collection took place in construction sites in Brazil in the cities of Ponta Grossa-PR and Porto Alegre-RS applying the mentioned method. The results of demand illustrate the concepts presented in the review, as well as the confirmation of the incidence of pain and lesions in the upper limbs and the repetitiveness in the analyzed activities. The results indicate that: a) the analysis of the chosen activity resulted in a high level of risk applying the immediate intervention, with improvements; b) proof by calculating the risk of biomechanical overload to implement improvements in the company; c) evidence that the improvements resulted in a reduction of ergonomic risks by more than 50%, with improvement in posture and strength requirements. In turn, the relevance of this work is highlighted, as it enables the development of public and private policies in the area of ergonomics with the purpose of developing the sector. In the end, the work opens up possibilities for the continuity of the research on the addressed topic.  


2020 ◽  
Vol 12 (4) ◽  
pp. 1414
Author(s):  
Duygu Erten ◽  
Zekâi Şen

This paper aims at presenting an innovative methodological approach to identify the heat storage and heat conductivity coefficients of a smart house. For this purpose, an experimental room is selected and heated to a high degree and then left for cooling, during which the reduction in the room temperature is measured with time. The time–temperature record provides the basis for determining the heat storage and heat conductivity coefficients through an objective standard curve matching procedure as the main context. These coefficients help to calculate the heat performance of a single room and, accordingly, the whole building, depending on its surrounding environment, construction material, volume and meteorological conditions. The proposed methodology depends on the one-dimensional heat flow event assuming that the construction material is homogeneous and isotropic and that the heat scatters uniformly in the room. The novelty in the paper is the standard curve for time–temperature decrease record evaluation, which can be used in a smart building planning procedure for decisions on heat storage and transfer.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Linh Huyen Pham ◽  
Winai Wongsurawat

PurposeThe aim of this paper is to develop a new analysis method, named dynamic extreme bounds analysis (DEBA), and to determine decisive determinants of foreign direct investment (FDI) by using this new method.Design/methodology/approachIn econometrics, the extreme bounds analysis (EBA) method is a convincing way of examining the strength of independent variables. However, the results obtained when using the EBA method contain little information, since each variable is only either strong or fragile, and some strong variables may be omitted because their significance could be undermined by just one unreasonable regression. Therefore, in order to overcome these limitations, this paper proposes DEBA, a new analysis method.FindingsThe authors employ the DEBA method to determine the factors which impact FDI in 86 countries. The authors note that in developing countries, the level of previous FDI, a high degree of openness, large market size and development of infrastructure help to attract FDI, whereas the development of domestic industry deters it. In developed countries, FDI is lured by the level of previous FDI stock, a high degree of openness, large market size, macroeconomic instability and availability of energy.Research limitations/implicationsAlthough this study is expected to contribute a new methodological approach and define the strong determinants of FDI, the study is not without limitations, such as the unavailability of data. Further studies should improve the DEBA method by developing DEBA packages for use in popular statistical software, enhancing methods for other types of data and more accurately determining the estimation order of variables. In addition, further research should expand the study's FDI model, providing more potential variables for an in-depth overview of this model.Originality/valueThis study is to contribute a new methodological approach (DEBA method) for data analysis and defining of strong determinants of FDI. The study findings are useful for governments, policy-makers and economists in formulating more attractive FDI policies.


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