Articles de revues sur le sujet « Radar – Innovation »
Pour voir les autres types de publications sur ce sujet consultez le lien suivant : Radar – Innovation.
Créez une référence correcte selon les styles APA, MLA, Chicago, Harvard et plusieurs autres
Consultez les 50 meilleurs articles de revues pour votre recherche sur le sujet « Radar – Innovation ».
À côté de chaque source dans la liste de références il y a un bouton « Ajouter à la bibliographie ». Cliquez sur ce bouton, et nous générerons automatiquement la référence bibliographique pour la source choisie selon votre style de citation préféré : APA, MLA, Harvard, Vancouver, Chicago, etc.
Vous pouvez aussi télécharger le texte intégral de la publication scolaire au format pdf et consulter son résumé en ligne lorsque ces informations sont inclues dans les métadonnées.
Parcourez les articles de revues sur diverses disciplines et organisez correctement votre bibliographie.
1
Abegg Ceolin, Michelli Julhian, Fernando Damke, Elizandra Da Silva, Ronaldo Bulhões et Marcelo Roger Meneghatti. « Inovação em tempos de pandemia : o caso de uma indústria de transformação da construção civil ». International Journal of Innovation 11, no 1 (13 mars 2023) : e21862. http://dx.doi.org/10.5585/2023.21862.
Texte intégralRésumé :
Objective of the study: Highlight the innovations achieved in the pandemic period by a transformation industry that supplies products for civil construction.Originality/Relevance: Qualitatively describes how innovations are carried out based on the innovation radar in an industry at an adverse time of a pandemic.Methodology/Approach: It is characterized as a technical, descriptive, qualitative report through content analysis.Main results: The results showed that the industry was directly affected by the lack of raw material during the pandemic period, and found solutions by innovating, mainly in the dimensions supply, solutions, value addition, organization, supply chain, and processes.Contribution: As contributions of the study, information related to the business environment aimed at innovation in times of crisis and in the covid-19 world pandemic was pointed out, and the advance in measuring business innovations in a qualitative way using the innovation radar tool.
2
Valença, Marilia Nunes, Marcos Felipe Falcão Sobral, Telma Lúcia de Andrade Lima et Daniela de Moura Pavão Farias. « Innovation radar in hospitality : a new procedure to evaluate the innovation in hotels ». Journal of Hospitality and Tourism Technology 11, no 2 (28 mai 2020) : 313–26. http://dx.doi.org/10.1108/jhtt-10-2017-0119.
Texte intégralRésumé :
Purpose This study aims to propose a new procedure called innovation radar in hospitality (IRH), which was specifically designed to measure the innovations in hotels. Design/methodology/approach Based on a systematic review, a structured questionnaire was developed with 31 questions. The questions covered 12 dimensions related to hospitality: offer, platform, solutions, customer, customer experience, value capture, processes, organization, supply chain, presence, network and brand. The developed IRH instrument allowed to identify five ordered stages of innovation in the hospitality industry: basic operational, advanced operational, basic innovator, intermediate innovator and advanced innovator. The IRH was tested in real environment in Brazilian Hotels. Findings The procedure proved to be stable and able to rank hotels by innovation. The IRH allocated hotels consistently into one of the five stages. By analyzing each survey hotel individually, the procedure showed no discrepancies between the individual rates and the allocated stage by IRH. Practical implications The IRH can be an automated and structured instrument to measure innovation by consumers, platforms, agencies, research studies and governments. Originality/value To the best of authors’ knowledge, this is the first structured and quantitative procedure to measure innovation in hotels. The radar was able to detect specific actions aimed at innovation that serve as a good prediction mechanism for innovation in the hospitality sector. In this context, the radar emerges as an important tool for innovation metrics in the tourism sector, offering analysis mechanisms and a way to evaluate and monitor companies.
3
Wang, Li, Xiongbin Wu et Weihua Ai. « A Scheme for Credibility of Surface Currents Derived From High Frequency Radars ». Journal of Physics : Conference Series 2718, no 1 (1 mars 2024) : 012009. http://dx.doi.org/10.1088/1742-6596/2718/1/012009.
Texte intégralRésumé :
Abstract Large amount of real-time ocean currents measured by HF radar have been included into the ocean observation database in many countries and regions, in support of applications for various marine activities such as marine research, Oil spill detection, tsunami warning, search and rescue. However, due to the performance of inversion algorithms and radar antennas, and other reasons, there are differences in the credibility of ocean current results at different times and locations, which brings on difficulties to applications of ocean currents. This letter proposes a method for developing a credibility model of ocean current results, mainly for all-digital multi-input and multi-output (MIMO) HF radar. By comparing the model with field experimental results, it is confirmed that the method is feasible. It will be very beneficial for radar users to select and use ocean current results, greatly reducing the work of verification of newly installed radars, and will be an innovation in the application technology of over-the-horizon marine radars.
4
GOLOVATCHEV, JULIUS, OLIVER BUDDE et DANIEL KELLMEREIT. « TECHNOLOGY AND INNOVATION RADARS : EFFECTIVE INSTRUMENTS FOR THE DEVELOPMENT OF A SUSTAINABLE INNOVATION STRATEGY AND SUCCESSFUL PRODUCT LAUNCHES ». International Journal of Innovation and Technology Management 07, no 03 (septembre 2010) : 229–36. http://dx.doi.org/10.1142/s0219877010002008.
Texte intégralRésumé :
This paper summarizes many years of experience in process design and methodology implementation for sustainable innovation development as carried out by the authors within several innovation projects in different industries (e.g. fixed and mobile telecommunications, high tech, logistics). We have developed a research innovation approach which provide effective innovation intelligence and scouting through the use of technology and innovation radars. These instruments enable the identification and evaluation of emerging business and technology trends, provide an overview of the relative maturity and assess their relevance to the company. A rating mechanism helps companies to decide when to adopt an innovation and to develop new products and services. Furthermore, the technology and innovation radars are good strategic tools for early stage identification and prioritization in order to give an approximate value judgment without detailed return-on-investment justifications. In later stages of the planning process, the radar tools can be used as a high-level summary of an underlying prioritization process.
5
Paredes, Breno José Burgos, et Guilherme Alves de Santana. « A evolução do grau de inovação de indústrias de transformação da região metropolitana do Recife ». RDBCI : Revista Digital de Biblioteconomia e Ciência da Informação 13, no 3 (25 septembre 2015) : 594. http://dx.doi.org/10.20396/rdbci.v13i3.2126.
Texte intégralRésumé :
Alguns fenômenos vêm influenciando de forma marcante as atividades econômicas do estado de Pernambuco, como a globalização e a recente alocação de grandes indústrias. Neste cenário, às Micro e Pequenas Empresas localizadas na região exercem papel fundamental no desenvolvimento local, devido sua representatividade no fomento à economia. Partindo da necessidade de avaliar o cenário inovativo industrial pernambucano, este estudo mensura a evolução do grau de inovação organizacional de indústrias de transformação localizadas em Recife/PE. Para tanto, aplicou-se o diagnóstico Radar da Inovação em 30 Empresas de Pequeno Porte do setor. Os resultados apontaram que o setor apresenta um comportamento inovador ocasional, obtendo um Grau Médio de Inovação (GMI) inferior a 3,0. Dimensões voltadas a relacionamento, processos e ambiência inovadora se destacaram de forma positiva por causa do número de inovações realizadas e da evolução do grau médio de inovação.Abstract: Some phenomena have influenced markedly the economic activities of the state of Pernambuco, as globalization and the recent allocation of large industries. In this scenario, the Micro and Small Enterprises located in the region play a key role in local development, because their representation in stimulating the economy. Starting from the need to evaluate the Pernambuco innovative industrial setting, this study measures the evolution of the degree of organizational innovation in manufacturing industries located in Recife / PE. To this end, we applied the Innovation Radar diagnosis in 30 Small Businesses of the sector. The results showed that the sector presents an innovative casual behavior, providing a Middle Degree of Innovation (GMI) below 3.0. Dimensions focused on relationships, processes and innovative ambience stood out positively because of the number of innovations made and the evolution of the average degree of innovation.Keywords: Innovation; Industrial innovation; Industry of Pernambuco; Innovation Radar.
6
Fekri, Majid, et M. K. Yau. « A Study of Rain Forecast Error Structure Based on Radar Observations over a Continental-Scale Spatial Domain ». Monthly Weather Review 144, no 8 (25 juillet 2016) : 2871–87. http://dx.doi.org/10.1175/mwr-d-15-0191.1.
Texte intégralRésumé :
Abstract This study examines the univariate error covariances of hourly rainfall accumulations using two different NWP models and a mosaic of radar reflectivity over a continental-scale domain. The study focuses on two main areas. The focus of the first part of the paper is on the ensemble-based and the innovation-based error variance and correlation estimations. An ensemble of forecasts and a set of observations provide the basis for estimating the errors in two different ways. The results indicate that both ensemble- and innovation-based methods lead to comparable variance estimations, while the local error correlation estimates have larger differences due to the sensitivity of calculations to the gradient of the variance field. The second part of the paper uses innovations for identifying the errors. The focus of this part is on a prognostic method for estimating the error statistics from the background based on the Bayesian inference technique. The case study shows that the predictive model produces a similar result regarding the magnitude and the dispersion of variance in comparison with the innovation and ensemble-based variances. This study represents a step toward estimating local error variances and local error correlations to construct a nonhomogeneous and precipitation-dependent error covariance matrix of rainfall. These results will be used in a future paper in the design of a 2D-VAR Assimilation Method for Blending Extrapolated Radars (AMBER) with NWP precipitation forecast to form a precipitation nowcasting model.
7
Macedo, Aline Mariano, Maria Eugênia Porém et Roseane Andrelo. « Organizational communication and innovation in micro and small companies : a study on the application of the “Innovation Radar” ». Comunicação e Sociedade 26 (28 décembre 2014) : 136–61. http://dx.doi.org/10.17231/comsoc.26(2014).2030.
Texte intégralRésumé :
This paper is a study on corporate communication and the ability to innovate in small businesses. The guiding question seeks to respond whether organizational communication is able to make progress and / or support innovation in micro and small companies, and the main objective is to analyze the relationship between innovation and organizational communication. It was applied the case study method and document research for interpreting a diagnosis instru- ment called “Innovation Radar” in a small business company located in the countryside of São Paulo state. The diagnosis is made based on assessment dimensions aimed at checking the maturity and the degree of innovation in micro and small companies. By evaluating these di- mensions it was possible to build analytical frameworks and highlight the influence of corporate communication in promoting innovation. The results indicate that every dimension of the “In- novation Radar” can improve their performance by means of corporate communication.
8
Trim, R. M. « Blumlein and radar ». Engineering Science and Education Journal 2, no 3 (1993) : 133. http://dx.doi.org/10.1049/esej:19930041.
Texte intégral
9
Bell, Alistair, Pauline Martinet, Olivier Caumont, Benoît Vié, Julien Delanoë, Jean-Charles Dupont et Mary Borderies. « W-band radar observations for fog forecast improvement : an analysis of model and forward operator errors ». Atmospheric Measurement Techniques 14, no 7 (14 juillet 2021) : 4929–46. http://dx.doi.org/10.5194/amt-14-4929-2021.
Texte intégralRésumé :
Abstract. The development of ground-based cloud radars offers a new capability to continuously monitor fog structure. Retrievals of fog microphysics are key for future process studies, data assimilation, or model evaluation and can be performed using a variational method. Both the one-dimensional variational retrieval method (1D-Var) or direct 3D/4D-Var data assimilation techniques rely on the combination of cloud radar measurements and a background profile weighted by their corresponding uncertainties to obtain the optimal solution for the atmospheric state. In order to prepare for the use of ground-based cloud radar measurements for future applications based on variational approaches, the different sources of uncertainty due to instrumental, background, and forward operator errors need to be properly treated and accounted for. This paper aims at preparing 1D-Var retrievals by analysing the errors associated with a background profile and a forward operator during fog conditions. For this, the background was provided by a high-resolution numerical weather prediction model and the forward operator by a radar simulator. Firstly, an instrumental dataset was taken from the SIRTA observatory near Paris, France, for winter 2018–2019 during which 31 fog events were observed. Statistics were calculated comparing cloud radar observations to those simulated. It was found that the accuracy of simulations could be drastically improved by correcting for significant spatio-temporal background errors. This was achieved by implementing a most resembling profile method in which an optimal model background profile is selected from a domain and time window around the observation location and time. After selecting the background profiles with the best agreement with the observations, the standard deviation of innovations (observations–simulations) was found to decrease significantly. Moreover, innovation statistics were found to satisfy the conditions needed for future 1D-Var retrievals (un-biased and normally distributed).
10
Fabry, Frédéric, et Véronique Meunier. « Why Are Radar Data so Difficult to Assimilate Skillfully ? » Monthly Weather Review 148, no 7 (24 juin 2020) : 2819–36. http://dx.doi.org/10.1175/mwr-d-19-0374.1.
Texte intégralRésumé :
Abstract Although radar is our most useful tool for monitoring severe weather, the benefits of assimilating its data are often short lived. To understand why, we documented the assimilation requirements, the data characteristics, and the common practices that could hinder optimum data assimilation by traditional approaches. Within storms, radars provide dense measurements of a few highly variable storm outcomes (precipitation and wind) in atmospherically unstable conditions. However, statistical relationships between errors of observed and unobserved quantities often become nonlinear because the errors in these areas tend to become large rapidly. Beyond precipitating areas lie large regions for which radars provide limited new information, yet whose properties will soon shape the outcome of future storms. For those areas, any innovation must consequently be projected from sometimes distant precipitating areas. Thus, radar data assimilation must contend with a double need at odds with many traditional assimilation implementations: correcting in-storm properties with complex errors while projecting information at unusually far distances outside precipitating areas. To further complicate the issue, other data properties and practices, such as assimilating reflectivity in logarithmic units, are not optimal to correct all state variables. Therefore, many characteristics of radar measurements and common practices of their assimilation are incompatible with necessary conditions for successful data assimilation. Facing these dataset-specific challenges may force us to consider new approaches that use the available information differently.
11
Bobotová, Gabriela, Zbyněk Sokol, Jana Popová, Ondřej Fišer et Petr Zacharov. « Analysis of Two Convective Storms Using Polarimetric X-Band Radar and Satellite Data ». Remote Sensing 14, no 10 (10 mai 2022) : 2294. http://dx.doi.org/10.3390/rs14102294.
Texte intégralRésumé :
We analyzed two convective storms that passed over or near the Milešovka meteorological observatory. The observatory is located at the top of a hill and has been recently equipped with a Doppler polarimetric X-band radar FURUNO WR2120 for cloud investigations. Our analysis was based mainly on Doppler polarimetric radar data measured in vertical cross-sections (RHI-Range-Height Indicator). Radar data was also used for classifying hydrometeors by a newly developed XCLASS (X-band radar CLASSification) algorithm. We also used rapid scan data measured by the geostationary satellite Meteosat Second Generation to validate radar measurements at the upper parts of storms. Although an attenuation correction was applied to the reflectivity and differential reflectivity measurements, the attenuation typical of X-band radars was noticeable. It was mainly manifested in the differential reflectivity, co-polar correlation coefficient and specific differential phase. Nevertheless, radar measurements can be used to analyze the internal cloud structure of severe convective storms. The XCLASS classification was developed by major innovation of a previously published algorithm. The XCLASS algorithm identifies seven types of hydrometeors: light rain, rain, wet snow, dry snow, ice, graupel, and hail. It uses measured horizontal and vertical radar reflectivity, specific differential phase, co-polar correlation coefficient, and temperature, and applies fuzzy logic to determine the type of hydrometeor. The new algorithm practically eliminates unrealistic results around and below the melting layer provided by the original algorithm. It identifies wet snow in more cases, and areas with individual hydrometeors have more realistic shapes compared to the original algorithm. The XCLASS algorithm shows reasonable results for the classification of hydrometeors and can be used to study the structure of convective storms.
12
Schleiss, Marc. « A Geostatistical Framework for Quantifying the Temporal Evolution and Predictability of Rainfall Fields ». Journal of Hydrometeorology 17, no 3 (1 mars 2016) : 915–29. http://dx.doi.org/10.1175/jhm-d-15-0137.1.
Texte intégralRésumé :
Abstract A geostatistical framework for quantifying the temporal evolution and predictability of rainfall fields for time lags between 5 min and 3 h is proposed. The method is based on the computation of experimental space–time variogram maps of radar reflectivity fields. Two new metrics for quantifying temporal innovation and predictability based on minimum semivariance values at different time lags are proposed. The method is applied to high-resolution composite radar reflectivity maps over the United States to study the evolution of 25 convective and 25 stratiform events during the warm season of 2014. Results show that the temporal innovation can be modeled as the sum of two exponential functions of time lag, with approximately 50% of the total innovation occurring over the first 60 min. The median predictable scales for convective events are on the order of 1.6 km at 5 min, 5 km at 15 min, and 12.7 km at 1 h. Furthermore, the optimal time lag for predicting future innovation, taking into account measurement uncertainty and natural variability, appears to be between 30 and 60 min.
13
Rudresh, Sunil, et Chandra Sekhar Seelamantula. « Finite-Rate-of-Innovation-Sampling-Based Super-Resolution Radar Imaging ». IEEE Transactions on Signal Processing 65, no 19 (1 octobre 2017) : 5021–33. http://dx.doi.org/10.1109/tsp.2017.2721917.
Texte intégral
14
Petersen, Nicolaj Hannesbo, Sascha Fuerst et Lasse Torkkeli. « Sustainable Entrepreneurship Management and Digitalization : A Green Digital Innovation Radar ». Sustainability 15, no 19 (24 septembre 2023) : 14120. http://dx.doi.org/10.3390/su151914120.
Texte intégral
15
Pandeirada, João, Miguel Bergano, João Neves, Paulo Marques, Domingos Barbosa, Bruno Coelho et Valério Ribeiro. « Development of the First Portuguese Radar Tracking Sensor for Space Debris ». Signals 2, no 1 (9 mars 2021) : 122–37. http://dx.doi.org/10.3390/signals2010011.
Texte intégralRésumé :
Currently, space debris represents a threat for satellites and space-based operations, both in-orbit and during the launching process. The yearly increase in space debris represents a serious concern to major space agencies leading to the development of dedicated space programs to deal with this issue. Ground-based radars can detect Earth orbiting debris down to a few square centimeters and therefore constitute a major building block of a space debris monitoring system. New radar sensors are required in Europe to enhance capabilities and availability of its small radar network capable of tracking and surveying space objects and to respond to the debris increase expected from the New Space economy activities. This article presents ATLAS, a new tracking radar system for debris detection located in Portugal. It starts by an extensive technical description of all the system components followed by a study that estimates its future performance. A section dedicated to waveform design is also presented, since the system allows the usage of several types of pulse modulation schemes such as LFM and phase coded modulations while enabling the development and testing of more advanced ones. By presenting an architecture that is highly modular with fully digital signal processing, ATLAS establishes a platform for fast and easy development, research, and innovation. The system follows the use of Commercial-Off-The-Shelf technologies and Open Systems which is unique among current radar systems.
16
Garello, R. « Radar imaging of the oceans ». Engineering Science & ; Education Journal 8, no 5 (1 octobre 1999) : 209–14. http://dx.doi.org/10.1049/esej:19990506.
Texte intégral
17
Cruz Junior, Antonio Carlos de Oliveira, Rogério Augusto Profeta et Valquíria Miwa Hanai-Yoshida. « Relação entre cultura organizacional e inovação empresarial em micro e pequenas empresas ». International Journal of Innovation 10, no 4 (11 octobre 2022) : 579–609. http://dx.doi.org/10.5585/iji.v10i4.21166.
Texte intégralRésumé :
Objective of the study: To analyze the relationship between predominant organizational culture and business innovation capacity in Micro and Small Enterprises (MSEs).Methodology: Thirty MSEs were selected for this study. The organizational cultural model was identified through the OCAI questionnaire, and the modified innovation radar classified the degree of innovation. The D'Agostinho test (p0.01) and the Spearman correlation were used to evaluate normality and identify the relationship between the variables, respectively.Originality/Relevance: The OCAI questionnaire and the innovation radar are research tools that have not yet been used together in studies related to the context of MSEs, according to the narrative review of the literature conducted.Results: The organizational culture models predominant in the thirty companies participating in this work were identified as clan, hierarchical, and market types using the OCAI questionnaire. The results obtained indicate that the predominant organizational culture is complemented by characteristics of other cultures to a greater or lesser extent. Furthermore, most companies showed a low degree of innovation. We found a strong and positive relationship between the variables, i.e., the degree of innovation increases with the improvement of the organizational culture, prevailing in the context of the thirty MSEs studied.Theoretical/methodological contributions: This study's data collection and treatment structure can be replicated in other cities or regions.Social/Management Contributions: This study provides a framework for assessing the relationship between organizational culture and the degree of innovation in MSEs.
18
Liu, Yun Feng, Ji Dong Suo, Xiao Ming Liu et Bo Li. « Adaptive Radar Sensitivity Time Control Based on Linear Prediction Sea Clutter ». Applied Mechanics and Materials 701-702 (décembre 2014) : 279–82. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.279.
Texte intégralRésumé :
Sea clutter is interference background in radar target processing. It is difficult to detect long-range weak target in sea clutter. Sea clutter signal changes complex, with high intensity. For close signal, radar receiver will overload and reach saturation point. We are interested in the most dynamic range for displaying target echo and fast changing component of clutter. By analyzing spatial and temporal correlation of sea clutter, slow changing component can be minus from sea clutter. The innovation of this paper is to propose a linear prediction error method for sea clutter to increase dynamic range of radar receiver. It prevents overloading and reaching saturation point at close range.
19
Hirth, B. D., J. L. Schroeder et J. G. Guynes. « An Onshore Deployment of Advanced Dual-Doppler Radar for Wind Energy Applications ». Journal of Physics : Conference Series 2745, no 1 (1 avril 2024) : 012013. http://dx.doi.org/10.1088/1742-6596/2745/1/012013.
Texte intégralRésumé :
Abstract Two advanced X-band radars have been developed and deployed by Texas Tech University to provide continuous wind measurements serving project AWAKEN, including the construction of near real-time dual-Doppler synthesized wind fields covering a large 35 km x 35 km analysis domain. This deployment represents the first overland long duration utilization of the technology, which was configured to document a wide range of wind energy relevant flows spanning turbine inflow/wake flow to regional wind flows and wind plant interactions. The overland environment coupled with technology innovation has led to very high data availability yielding a growing archive of measurements documenting diverse atmospheric phenomena including numerous instances of wind plant interaction. Through the first few project months, data availability greater than 90%, 80% and 70% has been assessed at the ranges of 8 km, 16 km, and 25 km, respectively. Robust data availability coupled with fast radar scan speeds and high along beam measurement resolution position advanced Doppler radar technology to broadly contribute to diverse wind energy measurement applications covering domains sizes that far exceed existing industry standard measurement systems.
20
Ilham, Bahrul Ulum. « Penerapan Business Check Up Untuk Pemetaan Umkm ». Syntax Idea 4, no 12 (21 décembre 2022) : 1731. http://dx.doi.org/10.36418/syntax-idea.v4i12.2061.
Texte intégralRésumé :
The problem in this research is how to map MSMEs assisted by the Center of Integrated Services (CIS) SMESCo South Sulawesi using a business check-up. The use of business check-ups to determine the health condition of the business, and identify problems and sources of problems in the business. This research is a quantitative descriptive study using radar analysis. Radar charting is a graphical method for displaying multivariable data in the form of a two-dimensional chart of three or more quantitative variables represented on an axis starting from the same point. A total of 50 MSMEs filled out a business check-up which refers to the development of 8 MSME business aspects which include aspects of independence, aspects of innovation, aspects of courage to take risks, aspects of proactively capturing opportunities and markets, marketing aspects, and operational aspects., financial aspects, and HR aspects. The conclusion from the application of radar analysis in mapping MSMEs assisted by the SMESCo Center of Integrated Services (CIS) South Sulawesi shows that 8 aspects of MSME business check-ups are in a good category (radar 3-4), unless the financial aspect is in the sufficient category (radar 2-3). The highest aspect is the innovation aspect with a value of 3.67 and the lowest is the financial aspect with a value of 2.74. Based on these results, it is recommended to improve the performance of MSMEs assisted by the Center of Integrated Services (CIS) SMESCo South Sulawesi in the financial aspect.
21
Ilham, Bahrul Ulum. « Penerapan Business Check Up Untuk Pemetaan Umkm ». Syntax Idea 4, no 12 (21 décembre 2022) : 1731–41. http://dx.doi.org/10.46799/syntax-idea.v4i12.2061.
Texte intégralRésumé :
The problem in this research is how to map MSMEs assisted by the Center of Integrated Services (CIS) SMESCo South Sulawesi using a business check-up. The use of business check-ups to determine the health condition of the business, and identify problems and sources of problems in the business. This research is a quantitative descriptive study using radar analysis. Radar charting is a graphical method for displaying multivariable data in the form of a two-dimensional chart of three or more quantitative variables represented on an axis starting from the same point. A total of 50 MSMEs filled out a business check-up which refers to the development of 8 MSME business aspects which include aspects of independence, aspects of innovation, aspects of courage to take risks, aspects of proactively capturing opportunities and markets, marketing aspects, and operational aspects., financial aspects, and HR aspects. The conclusion from the application of radar analysis in mapping MSMEs assisted by the SMESCo Center of Integrated Services (CIS) South Sulawesi shows that 8 aspects of MSME business check-ups are in a good category (radar 3-4), unless the financial aspect is in the sufficient category (radar 2-3). The highest aspect is the innovation aspect with a value of 3.67 and the lowest is the financial aspect with a value of 2.74. Based on these results, it is recommended to improve the performance of MSMEs assisted by the Center of Integrated Services (CIS) SMESCo South Sulawesi in the financial aspect.
22
Pun, Sirjana. « How Radar Technology Changed the Course of the World after World War II - Science and Technology ». Unity Journal 2 (11 août 2021) : 243–50. http://dx.doi.org/10.3126/unityj.v2i0.38847.
Texte intégralRésumé :
After the independent invention of radar in the early 1930s, the development of radar went rapidly during World War II (1939-1945) when both Axis and Allied forces relied on the system to get an edge over the other. Ever since the war, radar technology has substantially increased in its innovation and capability throughout the years. This paper examines the progress of radar technology following World War II (1939-1945) with an aim to provide a landscape of the prevalent radar system during the war which was mono-pulse tracking radar systems and moving-target indication (MTI) system. After a thorough background study of the past radar system, the paper highlights application of the newer developed Phased Array Radar System which was formulated out through the implementation of the improved capabilities of both prevalent systems. Moreover, the paper provides a brief overview of the modular system and formulates a time frame relating to the development of radar research. Thus, the paper, later on, foresees the prominent future where phased array systems could be expanded to civilian and non-civilian technological research by providing thorough research and comparative analysis. Phased array systems are found to a prominent possible cheaper alternative for the civilian and non-civilian system. It shows prominence to be an effective useful tool for radar systems.
23
Mention, Anne-Laure, João José Pinto Ferreira et Marko Torkkeli. « Stay True, But Innovate ! » Journal of Innovation Management 6, no 1 (8 mai 2018) : 1–4. http://dx.doi.org/10.24840/2183-0606_006.001_0001.
Texte intégralRésumé :
Were you ever asked by a manager to ‘do what you want’, where you felt free to innovate? Did it feel like freedom? Maybe you felt encouraged since you could now experiment your idea, but did it mean that your performance was now on the radar? Could you then stay true to your vision or did you feel the need to compromise so that the ‘numbers lined up’? Either way, you should know that you are not alone. Arguably, we are in an age of paradox1 where simultaneous contradic- tions are all too common. Innovation paradox arises when “the aggressive pursuit of operational excellence and incremental innovation crowds out the possibility of creating ground-breaking innovations” (Davila & Epstein, 2014, p.2). Often these contradictions are meaningful on their own merit but when interdependent on each other, they create tensions in economic, social, environmental and ethical decision-making. In previous editorials, we have shared how digital innovations and societal disparity across the world are influencing strategic decision-making and shifting the innovation mindset. We now stretch the boundaries by suggesting that paradigms relying on economic trade-offs and shared-value that have shaped conventional organisational strategies are no longer sufficient to guide paradoxical tensions in decision-making. (...)
24
Nurhasanah, Sitiana, et Jufri Alkatiri. « Strategi Surat Kabar Radar Depok Dalam Mengantisipasi Media Online ». CoverAge : Journal of Strategic Communication 9, no 2 (18 mars 2019) : 43–51. http://dx.doi.org/10.35814/coverage.v9i2.1126.
Texte intégralRésumé :
The purpose of this study is to determine the efforts of the Depok Radar newspaper that can maintain its existence and anticipate competition in the media industry, especially in the current online media era. The concept studies used are mass media strategies and mass media (newspapers, online media). The research paradigm is post-positivist, the research approach is qualitative. The unit of analysis is individuals namely managing editor Radar Depok, and senior journalists. Data collection techniques using in-depth interviews, non-participant observation and documentation, as well as the validity of the data using source triangulation techniques. The results of this study indicate that for Radar Depok online media is not a big threat because according to him Radar Depok already has its own market. The strategy at Radar Depok is to do visual innovation, load the latest rubrics with specific moments, and have online media. For Radar Depok, the strategy efforts undertaken are aimed at maintaining its customers so as not to decrease, and the strategies that have been carried out are all expected to attract the attention of new readers of the Radar Depok newspaper.
25
Abad Miguélez, Begoña, et Sandra González. « From compass to radar : An innovative methodological strategy for researching cultural innovation ». European Public & ; Social Innovation Review 7, no 2 (29 décembre 2022) : 14–26. http://dx.doi.org/10.31637/epsir.22-2.2.
Texte intégralRésumé :
In response to the absence of a deep reflection on methodological innovation, this article sets out to approach the most appropriate strategy for investigating cultural innovation. In this regard, underlying this article there is a conceptual revision of two key terms: culture and innovation. The former is expanded towards more open and creative visions, and the latter is redefined from a linear and accumulative conceptualisation to an open and creative process. In order to build a new methodological approach based on this revision, we focus on presenting an onto-epistemological turn that implies a move from a research process in a linear progression, to an innovative cultural research process understood as an event that is processual, relational, and performative. By way of conclusion, the article proposes a creative and innovative research device that is open to the multiple configurations in which individuals and groups inhabit, build and experience culture in innovative ways.
26
Clark, Norman, et Joanna Chataway. « Below the radar : a fresh approach to innovation and development policy ». International Journal of Technology Management & ; Sustainable Development 8, no 3 (1 décembre 2009) : 171–75. http://dx.doi.org/10.1386/ijtm.8.3.171/2.
Texte intégral
27
Powell, Claud. « Letter to the Editor : Radar history ». Engineering Science and Education Journal 1, no 3 (1992) : 152. http://dx.doi.org/10.1049/esej:19920029.
Texte intégral
28
Hewitt, F. J. « Letter to the Editor : Radar history ». Engineering Science and Education Journal 1, no 6 (1992) : 272. http://dx.doi.org/10.1049/esej:19920056.
Texte intégral
29
Shipton, H. W. « Airborne radar systems of the 1940s ». Engineering Science and Education Journal 2, no 6 (1993) : 247. http://dx.doi.org/10.1049/esej:19930073.
Texte intégral
30
Gomes de Souza, André Luiz, et Gabriel Francisco Da Silva. « Contextualisation Method for Measuring the Degree of Innovation in Micro and Small Enterprises ». International Journal for Innovation Education and Research 8, no 11 (1 novembre 2020) : 536–54. http://dx.doi.org/10.31686/ijier.vol8.iss11.2782.
Texte intégralRésumé :
The methodologies proposed for measuring the degree of corporate innovation require a relevant selection of indicators. Nowadays, there is a growing number of indicators that can be used to describe innovation management and measure the degree of innovation. However, these indicators only provide a partial outlook of the degree of innovation, being often incomplete. Therefore, it is important to create compound indexes comprising different indicators, weighting factors and coefficients able to contextualise the conditions and characteristics of the elements analysed. This enables an assessment of the importance of contextualising indicators for measuring the degree of innovation based on the influence of different weighting factors and coefficients directly related to the context analysed. In this regard, the present work was aimed at contextualising the tool used for measuring the impact of innovation – INOVA-tec – and draw a comparison with the Innovation Radar for measuring the degree of innovation of a Micro and Small Enterprise (MSE). In addition, the present work developed a new methodological approach focused on contextualising the process for measuring the degree of innovation of business organisations based on the analysis of two MSEs. Both methodologies were applied for the measurement of the degree of innovation of 2 different retail companies from the textile and clothing sector. The results obtained concluded that the adapted version of INOVA-tec allows to contextualise the process of measuring the degree of innovation in MSEs by considering different perspectives and particularities taking into account the context of the companies analysed and the innovation actions implemented. Moreover, it enabled to assess the relevance of the indicators with regards to the value chain or type of service provided, considering different time frames and geographical scopes of the actions and their respective impacts. The adapted version of INOVA-tec also provides a greater range of analysis of the results, with a wider scope of categories which are directly proportional to the weighting criteria, weight ranges and correction factors adopted in the indicators considered. The Innovation Radar, which provided a contextualisation of the indicators analysed, showed an overlap of the degree of innovation between the different profiles of business innovation.
31
Mittal, Sanchita, et Vallikannu R. « Microwave Photonics Advancements in Radar Application ». International Journal of Recent Technology and Engineering (IJRTE) 11, no 3 (30 septembre 2022) : 35–40. http://dx.doi.org/10.35940/ijrte.c7227.0911322.
Texte intégralRésumé :
Microwave photonics (MWP) Technology brings Microwave and optical domains together. Due to its extraordinary capabilities and solution especially towards generation, transmission and processing of Microwave signals, the MWP field has potential to break barrier, which was not possible with RF technology alone. MWP technologies provide new opportunities in many areas like 5G networks, Advanced Radar and Internet of things. As demand for multi-functionality and reduced size is growing in every field, Radar is no exception. Radar systems capabilities in terms of functionality, precision, response time have significantly improved in past decades. MWP technologies are one of the key factors in that. With Modern photonics technologies Radar performance in terms of Speed, resolution, coverage, precise target identification has improved drastically. To understand the photonics technologies in detail, this paper is designed, which highlights the important features of Microwave photonics techniques applied in Radar and its subsystems
32
McKinney, John B. « Radar : a case history of an invention (the evolution of an innovation) ». IEEE Aerospace and Electronic Systems Magazine 21, no 8 (août 2006) : i. http://dx.doi.org/10.1109/maes.2006.1703249.
Texte intégral
33
Abad, Begoña, et Sandra González. « From compass to radar : An innovative methodological strategy for researching cultural innovation ». European Public & ; Social Innovation Review 7, no 2 (29 décembre 2022) : 14–26. http://dx.doi.org/10.31637/epsir-2022-201.
Texte intégralRésumé :
Ante la falta de una reflexión profunda sobre innovación metodológica, este artículo se propone abordar la estrategia más adecuada para investigar la innovación cultural. En este sentido, subyace en este artículo una revisión conceptual de dos términos clave: cultura e innovación. El primero se expande hacia visiones más abiertas y creativas, y el segundo, se redefine desde una conceptualización lineal y acumulativa hacia un proceso abierto y creativo. Para construir un nuevo enfoque metodológico a partir de esta revisión, presentamos un giro onto-epistemológico que implica pasar de un proceso de investigación en progresión lineal, a un proceso de investigación cultural innovador entendido como un evento procesual, relacional y performativo. A modo de conclusión, el artículo propone un dispositivo de investigación creativo e innovador, abierto a las múltiples configuraciones en las que individuos y grupos habitan, construyen y experimentan la cultura de forma innovadora.
34
Montmerle, Thibaut, et Claudia Faccani. « Mesoscale Assimilation of Radial Velocities from Doppler Radars in a Preoperational Framework ». Monthly Weather Review 137, no 6 (1 juin 2009) : 1939–53. http://dx.doi.org/10.1175/2008mwr2725.1.
Texte intégralRésumé :
Abstract This paper presents the results of a preoperational assimilation of radial velocities from Doppler radars of the French Application Radar la Météorologie InfraSynoptique (ARAMIS) network in the nonhydrostatic model, the Application of Research to Operations at Mesoscale (AROME). For this purpose, an observation operator, which allows the simulation of radial winds from the model variables, is included in the three-dimensional variational data assimilation (3DVAR) system. Several data preprocessing procedures are applied to avoid as much as possible erroneous measurements (e.g., due to dealiasing failures) from entering the minimization process. Quality checks and other screening procedures are discussed. Daily monitoring diagnostics are developed to check the status and the quality of the observations against their simulated counterparts. Innovation biases in amplitude and in direction are studied by comparing observed and simulated velocity–azimuth display (VAD) profiles. Experiments over 1 month are performed. Positive impacts on the analyses and on precipitation forecasts are found. Scores against conventional data show mostly neutral results because of the much-localized impact of radial velocities in space and in time. Significant improvements of low-level divergence analysis and on the resulting forecast are found when specific sampling conditions are met: the closeness of convective systems to radars and the orientation of the low-level horizontal wind gradient with respect to the radar beam. Focus on a frontal rainband case study is performed to illustrate this point.
35
Berne, Davi França, Roberto Coda, Patricia Krakauer et Denis Donaire. « The innovation challenge in micro and small enterprises (MSE) ». Innovation & ; Management Review 16, no 3 (28 août 2019) : 235–52. http://dx.doi.org/10.1108/inmr-03-2019-0031.
Texte intégralRésumé :
Purpose This study aims to measure the degree of innovation of micro and small industrial companies in the West and Southwest metropolitan regions of the city of São Paulo, through a survey with 203 firms in the metallurgy sector. Design/methodology/approach The research had a quantitative and descriptive focus and used as methodology the validated and international approach known as Innovation Radar. Findings The degree of innovation in these micro and small companies is low; thus, the authors could not characterize them as systemic innovators. Most of them are little innovative, although some were classified as occasional innovators. The dimensions organization, processes, presence, supply chain and added value were the least developed. Research limitations/implications To carry out similar studies in other Brazilian regions, to compare results and draw new conclusions, or even check if the degree of innovation present in micro-firms of these regions would not be even lower; to monitor the evolution of companies through a longitudinal study, to detect improvements in the degree of innovation; and to conduct a qualitative research that can deepen questions on the results of our study, such as the reasons why this type of company does not adopt innovative practices, or even the real suitability of the Innovation Radar model for micro and small enterprises (MSEs). We observed that some dimensions proved to be too sophisticated for these companies, such as R&D investments and the adoption of technological advances. Practical implications The study shows that the degree of innovation measured by the Innovation Radar is a useful and initial measure to check an innovative attitude in micro and small companies. It can also drive the actions that should be prioritized to stimulate the culture of innovation in SME. However, it does not allow to answer why this type of organization does not adopt innovative practices as a management attitude. Regarding its contribution, the authors expect that the paper may bring an awareness of managers and owners of micro and small companies for the need to foster innovative practices that can help increase the competitiveness and survival of this type of organization. Social implications In Brazil, despite the fact that MSEs represent 98 per cent of the existing companies, and are mainly responsible for job creation, their leaders have a low concern for innovative practices. Originality/value The study contributes to identify the degree of innovation of these firms, which comprise a representative and strategic segment of the city’s economy, by checking to what extent an innovative attitude is effectively present in this sector. The theoretical contribution of this study regards the appropriateness of mechanisms or methodologies created to measure the degree of innovation in large organizations. Dimensions such as technological platform, brand, innovative ambience, degree of organization or systematization of processes, which are frequently considered for companies in general, and especially for large ones, are not sufficient or, instead, too sophisticated to allow an effective measurement of the degree of innovation in MSE. Thus, this study provides information for designing more effective ways to evaluate the degree of innovation that take into account MSE’s specificities, which can be considered innovation efforts, such as simple process improvements, professional development of teams, and actions to seize ideas and opportunities, among others.
36
Bitsios, Ioannis, Fabrizio Martone, Riccardo Ricci et Audrey Arfi. « The innovative dimension of the research training programmes under H2020-MSCA-ITN : a methodological approach to track, measure and analyse innovative aspects and provide policy-feedback conclusions. » F1000Research 12 (26 octobre 2023) : 1020. http://dx.doi.org/10.12688/f1000research.138482.2.
Texte intégralRésumé :
Innovative research training programmes funded by the European Union are essential for the forging of highly skilled researchers to tackle, via breakthrough ideas and solutions, the challenges of our society. Being able to track, measure and analyse innovative aspects of the Marie Sklodowska-Curie Actions, Innovative Training Networks under the Horizon2020 funding scheme enables the impact assessment of such programmes, while filtering best practices and the generated knowledge that could ultimately breed and create further innovation. In parallel, it helps the identification of areas for improvement, the understanding of new needs to be accommodated and the co-design and implementation of EU funding policy activities to further promote innovation and excellence for researchers across Europe and beyond. In this study, a novel methodological approach is proposed for tracking and analysing innovation, using a representative sample of projects. Basic innovation indicators are examined and considered from the existing literature and from the applicable Multi-Annual Framework Programme Horizon2020. Additional ones are defined, complemented by questionnaires/surveys findings, to capture innovative aspects for which the standard indicators do not apply. Data mining and data visualization tools are used for the collection and processing of data. Innovation Radar 2 (IR) reports and HorizonResultsBooster 3 services are also engaged for the cross-validation of the identified innovative aspects. The study provides first-level input for policy-feedback activities, by identifying scientific domains and EU countries that may potentially require more attention for innovation generation. It highlights domains that are front-runners and can be used as examples or best practices for under-represented domains in terms of innovative outputs. Collaboration with organisations, defined as medium/high innovators, can increase innovation generation and success in future projects. Best practices are collected to serve as references for designing impactful future training programmes. The excellence of the H2020-MSCA-ITN actions is confirmed via the generated innovations.
37
Grazioli, J., D. Tuia et A. Berne. « Hydrometeor classification from polarimetric radar measurements : a clustering approach ». Atmospheric Measurement Techniques 8, no 1 (9 janvier 2015) : 149–70. http://dx.doi.org/10.5194/amt-8-149-2015.
Texte intégralRésumé :
Abstract. A data-driven approach to the classification of hydrometeors from measurements collected with polarimetric weather radars is proposed. In a first step, the optimal number of hydrometeor classes (nopt) that can be reliably identified from a large set of polarimetric data is determined. This is done by means of an unsupervised clustering technique guided by criteria related both to data similarity and to spatial smoothness of the classified images. In a second step, the nopt clusters are assigned to the appropriate hydrometeor class by means of human interpretation and comparisons with the output of other classification techniques. The main innovation in the proposed method is the unsupervised part: the hydrometeor classes are not defined a priori, but they are learned from data. The approach is applied to data collected by an X-band polarimetric weather radar during two field campaigns (from which about 50 precipitation events are used in the present study). Seven hydrometeor classes (nopt = 7) have been found in the data set, and they have been identified as light rain (LR), rain (RN), heavy rain (HR), melting snow (MS), ice crystals/small aggregates (CR), aggregates (AG), and rimed-ice particles (RI).
38
Grazioli, J., D. Tuia et A. Berne. « Hydrometeor classification from polarimetric radar measurements : a clustering approach ». Atmospheric Measurement Techniques Discussions 7, no 8 (19 août 2014) : 8465–519. http://dx.doi.org/10.5194/amtd-7-8465-2014.
Texte intégralRésumé :
Abstract. A data-driven approach to the classification of hydrometeors from measurements collected with polarimetric weather radars is proposed. In a first step, the optimal number nopt of hydrometeor classes that can be reliably identified from a large set of polarimetric data is determined. This is done by means of an unsupervised clustering technique guided by criteria related both to data similarity and to spatial smoothness of the classified images. In a second step, the nopt clusters are assigned to the appropriate hydrometeor class by means of human interpretation and comparisons with the output of other classification techniques. The main innovation in the proposed method is the unsupervised part: the hydrometeor classes are not defined a-priori, but they are learned from data. The proposed approach is applied to data collected by an X-band polarimetric weather radar during two field campaigns (totalling about 3000 h of precipitation). Seven hydrometeor classes have been found in the data set and they have been associated to drizzle (DZ), light rain (LR), heavy rain (HR), melting snow (MS), ice crystals/small aggregates (CR), aggregates (AG), rimed particles (RI).
39
Yoo, Kyungwoo, et Seung-Hyun Kong. « Application and Analysis of 1D FRI (Finite Rate of Innovation) Super-resolution Technique in FMCW Radar ». Transactions of the Korean Society of Automotive Engineers 22, no 7 (1 novembre 2014) : 31–39. http://dx.doi.org/10.7467/ksae.2014.22.7.031.
Texte intégral
40
Chen, Tsung-Yi. « Exploring the Systematic Business Model Innovation ». International Journal of e-Collaboration 13, no 2 (avril 2017) : 45–63. http://dx.doi.org/10.4018/ijec.2017040103.
Texte intégralRésumé :
An electronic-based business model (BM) is the new paradigm in business model innovation (BMI). In order to adapt to an ever-changing and extremely volatile Internet environment, an enterprise needs a systematic approach and tools to improve its existing business model or create a new one. This study analyzes the issues and system requirements for collaborative business model innovation relating to (1) BM design, (2) BM innovative system design, and (3) moral and intellectual property. Focusing on level (1) BM design, this study develops a systematic business model innovation approach based on the business model canvas (BMC) with nine building blocks and integrates the innovation radar (IR) with twelve key dimensions. Based on level (2), the study proposes a suitable collaborative BMI environment to enable the planning of a BM innovative design support system through virtual innovation teams (VITs), and to understand the system's functional requirements. Using the designed environment, this study develops the architecture of a BM knowledge support service environment based on cloud technology. To verify the proposed method, a bookstore is used as a case study. This study engages in innovative research in order to design a conceptual and systematic BMI approach.
41
Toledo, Felipe, Julien Delanoë, Martial Haeffelin, Jean-Charles Dupont, Susana Jorquera et Christophe Le Gac. « Absolute calibration method for frequency-modulated continuous wave (FMCW) cloud radars based on corner reflectors ». Atmospheric Measurement Techniques 13, no 12 (16 décembre 2020) : 6853–75. http://dx.doi.org/10.5194/amt-13-6853-2020.
Texte intégralRésumé :
Abstract. This article presents a new cloud radar calibration methodology using solid reference reflectors mounted on masts, developed during two field experiments held in 2018 and 2019 at the Site Instrumental de Recherche par Télédétection Atmosphérique (SIRTA) atmospheric observatory, located in Palaiseau, France, in the framework of the Aerosol Clouds Trace gases Research InfraStructure version 2 (ACTRIS-2) research and innovation program. The experimental setup includes 10 and 20 cm triangular trihedral targets installed at the top of 10 and 20 m masts, respectively. The 10 cm target is mounted on a pan-tilt motor at the top of the 10 m mast to precisely align its boresight with the radar beam. Sources of calibration bias and uncertainty are identified and quantified. Specifically, this work assesses the impact of receiver compression, temperature variations inside the radar, frequency-dependent losses in the receiver's intermediate frequency (IF), clutter and experimental setup misalignment. Setup misalignment is a source of bias, previously undocumented in the literature, that can have an impact of the order of tenths of a decibel in calibration retrievals of W-band radars. A detailed analysis enabled the quantification of the importance of each uncertainty source to the final cloud radar calibration uncertainty. The dominant uncertainty source comes from the uncharacterized reference target which reached 2 dB. Additionally, the analysis revealed that our 20 m mast setup with an approximate alignment approach is preferred to the 10 m mast setup with the motor-driven alignment system. The calibration uncertainty associated with signal-to-clutter ratio of the former is 10 times smaller than for the latter. Following the proposed methodology, it is possible to reduce the added contribution from all uncertainty terms, excluding the target characterization, down to 0.4 dB. Therefore, this procedure should enable the achievement of calibration uncertainties under 1 dB when characterized reflectors are available. Cloud radar calibration results are found to be repeatable when comparing results from a total of 18 independent tests. Once calibrated, the cloud radar provides valid reflectivity values when sampling midtropospheric clouds. Thus, we conclude that the method is repeatable and robust, and that the uncertainties are precisely characterized. The method can be implemented under different configurations as long as the proposed principles are respected. It could be extended to reference reflectors held by other lifting devices such as tethered balloons or unmanned aerial vehicles.
42
Snook, Nathan, Ming Xue et Youngsun Jung. « Analysis of a Tornadic Mesoscale Convective Vortex Based on Ensemble Kalman Filter Assimilation of CASA X-Band and WSR-88D Radar Data ». Monthly Weather Review 139, no 11 (1 novembre 2011) : 3446–68. http://dx.doi.org/10.1175/mwr-d-10-05053.1.
Texte intégralRésumé :
Abstract One of the goals of the National Science Foundation Engineering Research Center (ERC) for Collaborative Adaptive Sensing of the Atmosphere (CASA) is to improve storm-scale numerical weather prediction (NWP) by collecting data with a dense X-band radar network that provides high-resolution low-level coverage, and by assimilating such data into NWP models. During the first spring storm season after the deployment of four radars in the CASA Integrated Project-1 (IP-1) network in southwest Oklahoma, a tornadic mesoscale convective system (MCS) was captured by CASA and surrounding Weather Surveillance Radars-1988 Doppler (WSR-88Ds) on 8–9 May 2007. The MCS moved across northwest Texas and western and central Oklahoma; two tornadoes rated as category 1 on the enhanced Fujita scale (EF-1) and one tornado of EF-0 intensity were reported during the event, just to the north of the IP-1 network. This was the first tornadic convective system observed by CASA. To quantify the impacts of CASA radar data in storm-scale NWP, a set of data assimilation experiments were performed using the Advanced Regional Prediction System (ARPS) ensemble Kalman filter (EnKF) system configured with full model physics and high-resolution terrain. Data from four CASA IP-1 radars and five WSR-88Ds were assimilated in some of the experiments. The ensemble contained 40 members, and radar data were assimilated every 5 min for 1 h. While the assimilation of WSR-88D data alone was able to produce a reasonably accurate analysis of the convective system, assimilating CASA data in addition to WSR-88D data is found to improve the representation of storm-scale circulations, particularly in the lowest few kilometers of the atmosphere, as evidenced by analyses of gust front position and comparison of simulated Vr with observations. Assimilating CASA data decreased RMS innovation of the resulting ensemble mean analyses of Z, particularly in early assimilation cycles, suggesting that the addition of CASA data allowed the EnKF system to more quickly achieve a good result. Use of multiple microphysics schemes in the forecast ensemble was found to alleviate underdispersion by increasing the ensemble spread. This work is the first assimilating real CASA data into an NWP model using EnKF.
43
Li, Mingyuan, Lung-Yu Lin, Kuen-Suan Chen et Ting-Hsin Hsu. « Novel Service Efficiency Evaluation and Management Model ». Applied Sciences 11, no 20 (10 octobre 2021) : 9395. http://dx.doi.org/10.3390/app11209395.
Texte intégralRésumé :
Numerous scholars have invested in the research of service innovation management, hoping to find a more objective and scientific service efficiency evaluation and management model so as to stride forward towards the goal of smart innovation management. In the service operating system, the multi-workstation service operation is one of the common service operation models. Some studies have pointed out: apart from a good service attitude, the service operation time of each workstation is a key factor which measures the performance of the workstation’s service operation. Therefore, this paper proposed a standardized concept with a service operation efficiency evaluation index. This index is not only convenient and easy-to-use, but it also has a one-to-one mathematical relationship with the performance achievement rate. Next, the radar evaluation chart was employed to evaluate the service efficiency of each workstation. First, according to the upper confidence limit and the required value of the index, the minimum value (MV) of the index estimator was derived and marked on each radar line; at the same time, all MVs were connected to form a control block. When the point estimate of the index does not fall into the control block of the radar chart, it represents that the service operation efficiency of the workstation has not reached the required level, so it needs to be improved. Because this model can directly compare the point estimate of the index with the MV, it can judge whether the service operation efficiency reaches the required level. In this way, the advantage of simple and easy-to-use point estimate can be maintained, and the risk of misjudgment caused by sampling errors can be reduced as well, which is helpful for the service industry to move towards the goal of intelligent innovation management. This method is not only applied to the performance evaluation of the multi-workstation service operation process but also applicable to the performance evaluations of other service operations.
44
Austin, B. A. « Radar in World War II : The South African contribution ». Engineering Science and Education Journal 1, no 3 (1992) : 121. http://dx.doi.org/10.1049/esej:19920024.
Texte intégral
45
Xiong, Wei, Yuan Lu, Jie Song et Xiaolong Chen. « A Two-Stage Track-before-Detect Method for Non-Cooperative Bistatic Radar Based on Deep Learning ». Remote Sensing 15, no 15 (28 juillet 2023) : 3757. http://dx.doi.org/10.3390/rs15153757.
Texte intégralRésumé :
Compared with traditional active detection radar, non-cooperative bistatic radar has a series of advantages, such as a low cost and low detectability. However, in real-life scenarios, it is limited by the non-cooperation of the radiation source and the bistatic geometric model, resulting in a low target signal-to-noise ratio (SNR) and unstable detection between frames in the radar scanning cycle. The traditional detect-before-track (DBT) method fails to exploit adequately the target information and is incapable of achieving consistent and effective tracking. Therefore, in this paper, we propose a two-stage track-before-detect (TBD) method based on deep learning. This method employs a low-threshold detection network to identify the target initially, followed by utilizing the model method to ascertain potential tracks. Subsequently, a diverse range of network structures are employed to extract and integrate position information, innovation score, and target structural information from the track in order to obtain the target track. Experimental results demonstrate the method’s ability to achieve multi-target tracking in highly cluttered environments, where the higher the number of frames processed, the better the target tracking effect. Moreover, the method exhibits real-time processing capabilities. Hence, this method provides an effective solution for target tracking in non-cooperative bistatic radar systems.
46
Guo, Jing, Yi Luo, Yun Feng Sui, Dan Qing Yan et Qi Zhong. « Airport Runway FOD Detection from LFMCW Radar and Image Data ». Applied Mechanics and Materials 719-720 (janvier 2015) : 1124–31. http://dx.doi.org/10.4028/www.scientific.net/amm.719-720.1124.
Texte intégralRésumé :
Airport runway Foreign Object Debris (FOD) jeopardizes flight safety and leads to a large amount of financial cost on flight maintenance constantly. Several FOD detection systems based on a variety of detection techniques and architectures have been developed. This paper gives a brief introduction of our FOD detection system, in comparison with FOD detection systems currently in the international market. What distinguish our system from all the others is that, our detection approach is based on both linear frequency modulated continuous wave (LFMCW) radar signal and image data. This innovation combines the advantages of radar in shape detection and image in appearance detection. As a result, it increases the FOD detection rate and reduces the false alarming rate. Experiments following Federal Aviation Administration (FAA) advisory indicate that our system has reached the FAA requirements.
47
Chanifah, Joko Triastono, Arif Susila, R. Heru Praptana, Sodiq Jauhari et Sri Murtiati. « The Effectiveness of The Dissemination Method on Soybean Technology Innovation ». E3S Web of Conferences 361 (2022) : 03010. http://dx.doi.org/10.1051/e3sconf/202236103010.
Texte intégralRésumé :
The study aims to analyze the increase in farmers' knowledge and attitudes to technological innovations in soybean production using the dissemination method. The study was carried out from October 2020 to January 2021 by combining the dissemination of meetings information and technology demonstrations in the Grobogan Regency. Data collection used a survey before (pre-test) and after (post-test) evaluation in the dissemination implementation. Respondents were determined using purposive sampling, 35 cooperative farmers in disseminating soybean technology innovation activities. The data were descriptively analyzed using the average value, percentage, and paired sample t-test. The enhancement of farmers' knowledge is analyzed based on the percentage of correct answers by farmers. Changes in farmers' attitude-response are implemented into a radar graph. The study results showed that after attending meetings information and technology demonstrations, the farmers' knowledge of soybean production technology increased by 21.1%. The pre-test results showed that farmers already had a positive attitude and response to soybean production technology, with an average score of 2.64. The post-test results showed that farmers' positive attitudes and responses increased, with an average score of 2.84.
48
Flores-Luna, Rosa Itzel, Jesús Manuel Dorador-González et Adrian Espinosa-Bautista. « Prosthesis Analysis Based on TRIZ ». Key Engineering Materials 572 (septembre 2013) : 135–38. http://dx.doi.org/10.4028/www.scientific.net/kem.572.135.
Texte intégralRésumé :
The Mechanical and Technological Innovation Centre (CDMIT) of the National Autonomous University of Mexico has a research area focused on the design of upper limb prosthesis. A large number of prosthesis have been developed and tested. This paper presents the analysis made to different proposals of myoelectric hands based on TRIZ. Two TRIZ tools were applied: The Innovation Situation Questionnaire (ISQ) and the Radar of Evolution. The analysis was made in terms of time, space and the user interface. The ISQ helps to better define the scope of the problem through six basic questions; each question provides a different view of the problem. The radar of evolution helps to make a selection of trends of evolution depending on the product or system, as an analogy of a benchmark. The analysis was made considering the state-of-the-art hand prosthesis: i-limb, be-bionic, Michelangelo and Myohand against the prosthesis prototypes developed by the CDMIT. The result of this tool is a diagram that reveals the level and opportunities of evolution. These opportunities imply a strengthening of research areas not only in the CDMIT but around the world. The conclusion achieved is that different design paradigms linked to bio-mimics criteria are needed to design more innovative user-friendly prosthesis.
49
Feng, Jianing, Yihong Duan, Qilin Wan, Hao Hu et Zhaoxia Pu. « Improved Prediction of Landfalling Tropical Cyclone in China Based on Assimilation of Radar Radial Winds with New Super-Observation Processing ». Weather and Forecasting 35, no 6 (décembre 2020) : 2523–39. http://dx.doi.org/10.1175/waf-d-20-0002.1.
Texte intégralRésumé :
AbstractThis work explores the impact of assimilating radial winds from the Chinese coastal Doppler radar on track, intensity, and quantitative precipitation forecasts (QPF) of landfalling tropical cyclones (TCs) in a numerical weather prediction model, focusing mainly on two aspects: 1) developing a new coastal radar super-observation (SO) processing method, namely, an evenly spaced thinning method (ESTM) that is fit for landfalling TCs, and 2) evaluating the performance of the radar radial wind data assimilation in QPFs of landfalling TCs with multiple TC cases. Compared to a previous method of generating SOs (i.e., the radially spaced thinning method), in which the density of SOs is equal within the radial space of a radar scanning volume, the SOs created by ESTM are almost evenly distributed in the horizontal grids of the model background, resulting in more observations located in the TC inner-core region being involved in SOs. The use of SOs from ESTM leads to more cyclonic wind innovation, and larger analysis increments of height and horizontal wind in the lower level in an ensemble Kalman filter data assimilation experiment with TC Mujigae (2015). Overall, forecasts of a TC’s landfalling position, intensity, and QPF are improved by radar data assimilation for all cases, including Mujigae and the other eight TCs that made landfall on the Chinese mainland in 2017. Specifically, through assimilation, TC landing position error and intensity error are reduced by 33% and 25%, respectively. The mean equitable threat score of extreme rainfall [>80 mm (3 h)−1] forecasts is doubled on average over all cases.
50
Schleiss, Marc, et James Smith. « A Method to Estimate the 3D–Time Structure of the Raindrop Size Distribution Using Radar and Disdrometer Data* ». Journal of Hydrometeorology 16, no 3 (27 mai 2015) : 1222–42. http://dx.doi.org/10.1175/jhm-d-14-0182.1.
Texte intégralRésumé :
Abstract A geostatistical method to quantify the small-scale 3D–time structure of the drop size distribution (DSD) from the ground level up to the melting layer using radar and disdrometer data is presented. First, 3D–time radar reflectivity fields are used to estimate the large-scale properties of a rain event, such as the apparent motion, spatial anisotropy, and temporal innovation. The retrieved quantities are then combined with independent disdrometer time series to estimate the 3D–time variogram of each DSD parameter. A key point in the procedure is the use of a new metric for measuring distances in moving anisotropic rainfall fields. This metric has the property of being invariant with respect to the specific rainfall parameter being considered, that is, it is identical for the radar reflectivity, rain rate, mean drop diameter, drop concentration, or any other weighted moment of the DSD. Evidence is shown of this fact and some illustrations for a stratiform event in southern France and a convective case in the midwestern United States are provided. The proposed framework offers a series of new and interesting applications, including the possibility to compare the space–time structure of different rain events, to interpolate radar reflectivity fields in space–time and to simulate 3D–time DSD fields at high spatial and temporal resolutions.