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1
Murata, Yoshinori, Shingo Sakurai, Efendi Mabruri, Toshiyuki Koyama, and Masahiko Morinaga. "Cross Interdiffusion Coefficients in Nickel- and Iron-Based Ternary Alloys." Defect and Diffusion Forum 273-276 (February 2008): 419–24. http://dx.doi.org/10.4028/www.scientific.net/ddf.273-276.419.
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It is known that two main interdiffusion coefficients, ık Dii and ık Djj , as well as two cross interdiffusion coefficients, ık Dij and ık Dji , are necessary for understanding the atomic diffusion for ternary system. Here, k is the host element of ternary system, and i and j are solute elements. These four interdiffusion coefficients are obtained from a series of experiments using two kinds of ternary diffusion couples. In general, it is believed that ık Dij and ık Dji indicate the same sign to each other, but there are a lot of experimental data showing that ık Dij and ık Dji indicate opposite sign [1]. In such a case, the physical meaning of the cross interdiffusion coefficient has not always been understood thoroughly. The purposes of this study are to measure the interdiffusion coefficients by a series of experiments and to elucidate the physical meaning of the two cross interdiffusion coefficients on the basis of the consideration about the relationship between the thermodynamic functions and the cross interdiffusion coefficients. It is concluded that ık Dij exhibits the opposite sign to ık Dji without contradicting the Onsarger’s reciprocity theorem when the ( 2 2 ) c j ∂ G ∂c shows the opposite sign to ( 2 2 ) c i ∂ G ∂c . Here, c G is Gibbs free energy of the ternary system.
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Peristiowati, Yuly, Novita Ana Anggraeni, Aladdin Eko Purkuncoro, and Hariyono Hariyono. "DJI phantom frame quadcopter for aerial monitoring of objects." International journal of health sciences 6, no. 3 (2022): 1565–78. http://dx.doi.org/10.53730/ijhs.v6n3.13265.
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Quadcopter is an unmanned aircraft driven by four motors and can be controlled remotely, making it usable for detecting an object. Current adaptation of the technology is incredibly effectively used for the public interests, especially for monitoring the safety of victims during natural disasters. The purpose of the present study was to design a quadcopter using the DJI Phantom Frame as an initial test for detecting objects at several heights. The present study used the experimental method, in which the quadcopter was designed first and subsequently several tests were performed. In terms of specifications, the designed quadcopter had an X configuration with 2 rotors at the front and 2 rotors at the rear. It used 2-blade propellers of 9 inch in diameter, Inav FC, Dji Phantom Frame, Esc Blheli_s 30a, DJI 920-kv motor, Phantom 4s battery, DJI gimbal, DJI Phantom camera, DJI Phantom remote control, Ublox m8n GPS, 9-inch propellers, Inav software and DJI GO. The quadcopter was subjected to the following tests: the Li-po (lithium polymer) battery power tests; quadcopter remote control test, Global Position System (GPS) test, and radio telemetry test.
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Rauschenbach, Thomas, Svendy Wittmann, and Felix Berth. "Das Deutsche Jugendinstitut (DJI)." Erziehungswissenschaft 30, no. 59 (2-2019) (2019): 55–61. http://dx.doi.org/10.3224/ezw.v30i2.07.
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Huang, Chia-Hsing, and Liang-Chun Ho. "The relationship between the bio-energy concept stocks in Taiwan and the international stock markets." Corporate Ownership and Control 5, no. 4 (2008): 437–43. http://dx.doi.org/10.22495/cocv5i4c5p3.
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This research explores the relationship among the bio-energy company stock index in Taiwan, TAIEX, DJI, Nikkei 225 and SSE composite index for a period from January 1, 2005 to March 11, 2008. Test results indicate two things are noteworthy: 1. Granger causality tests show that the interaction between the bio-energy company stock index in Taiwan and TAIEX is one-way only; however, that between the bio-energy company stock index in Taiwan and DJI is two-way. 2. According to the results of variance decompositions, though TAIEX has the highest explanation power; nevertheless, the explanation strength tends to decrease. On the contrary, DJI and Nikkei 225 manifest constantly increasing strength in explanation. Accordingly, the influence of DJI upon the bio-energy company stock index in Taiwan keeps rising and can’t be ignored.
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Mills, J. P., M. V. Peppa, A. Alma'Amari, L. Davidson, J. Goodyear, and N. T. Penna. "THE EUROSDR RPAS BENCHMARK: OPEN DATASET DESCRIPTION AND SUMMARY OF KEY RESULTS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W3-2023 (October 19, 2023): 107–14. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w3-2023-107-2023.
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Abstract. In 2021 EuroSDR initiated a benchmark study with the aim to evaluate the geometric quality of real-world survey data generated from state-of-practice commercial Remotely Piloted Aircraft System (RPAS) photogrammetry (including DJI P4 RTK and DJI P1) and lidar (including DJI L1 and Riegl MiniVUX). The particular benchmark focus was on achievable data quality from real-world network configurations in the absence of ground control, on-the-fly Real Time Kinematic (RTK) corrections, and/or local GNSS base station information. Successive custom datasets were released to registered benchmark participants who submitted individual outputs that were independently evaluated against reference surveys. Without the inclusion of any supporting ground information, DJI P4 RTK and DJI P1 RPAS solutions were found to deliver m- and dm-level accuracies, respectively, in both plan and height. RTK solutions were found to provide cm-level precisions and accuracies, with some outliers. The introduction of ground control points resulted in similar planimetric accuracy to the RTK solutions, but with slight improvements in height. In terms of lidar datasets, the Riegl MiniVUX solution, using corrections from a local base station, was found to provide smaller discrepancies than the DJI L1 RTK solution, when independently compared against terrestrial laser scanning surveys. This paper provides various quality statistics and demonstrates multiple ways of assessing the geometric quality of RPAS data. The EuroSDR RPAS benchmark datasets are now openly available online in order to support and facilitate further investigation by the community.
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N., M. Salma, and Osman Khairuddin. "Modelling and PID control system integration for quadcopter DJIF450 attitude stabilization." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 19, no. 3 (2020): 1235–44. https://doi.org/10.11591/ijeecs.v19.i3.pp1235-1244.
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In this paper we focus on the overall overview of the mathematical modelling of the DJI F450 UAV quadcopter, the hardware and software system integration based on PID control system for the attitude feedback. The parameter specification of the DJI F450 is fed into the mathematical model and implement a basic PID for the system. Future research using the DJI F450 model can benefit from this observation by implementing the modelling and tune in their own variable that varies, such as the overall of their weight. The data of PID control system simulation using the quadcopter frame model type DJI F450 parameter. The mathematical model for the quadcopter modelled DJI F450 is developed using Newton-Euler method. Altitude data for the control system is obtain from the analysis data of the Simulink simulation. The simulation is done using the Simulink toolbox inside the MATLAB software. From this paper, we can more understand the step involves in making a full control system of a quadcopter. The mathematical model for other type of quadcopter model can be implemented using the steps with their own parameter and achieve fast development.
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Fahmizal, Danis Afidah, Swadexi Istiqphara, and Nur Syuhadah Abu. "Interface Design of DJI Tello Quadcopter Flight Control." Journal of Fuzzy Systems and Control 1, no. 2 (2023): 49–54. http://dx.doi.org/10.59247/jfsc.v1i2.35.
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Quadcopter is an unmanned, remote-controlled aircraft. This quadcopter has various types, in this study, the DJI Tello is used. The aim is to create a DJI Tello quadcopter flying control interface with Processing IDE, where the DJI Tello quadcopter will be controlled via a keyboard, joystick, and Graphical User Interface (GUI). Programmed through the Processing IDE, so the quadcopter can be controlled via the keyboard. The functions of some keys on the keyboard and joystick will be used to control the quadcopter's flying. To control these flying, several libraries available in the Processing IDE are required, while the GUI will function to read how the conditions of the quadcopter when the quadcopter and processing IDE are connected. The testing results show that the GUI can display the same position as the actual DJI Tello based on the data communication.
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Bojor, Laviniu, and Laurențiu Grigore. "Implementing Small Commercial Drones in Land Forces Operations: Considerations for Optimizing ISR (Intelligence, Surveillance, and Reconnaissance)." International conference KNOWLEDGE-BASED ORGANIZATION 30, no. 1 (2024): 1–11. http://dx.doi.org/10.2478/kbo-2024-0004.
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Abstract This study explores the use of small commercial drones in tactical-level military actions, with a particular focus on optimizing ISR (Intelligence, Surveillance, and Reconnaissance) capabilities. During a 3-day tactical exercise, we analyzed the performance of 9 commercial drones, including DJI Mini 3, DJI Avata, DJI Mini 4, and DJI Mavic. The study demonstrated that these drones provide essential capabilities for real-time information gathering, facilitating rapid decision-making and improving the efficiency of military operations. Significant challenges were also identified, such as limited battery autonomy and vulnerability to adverse weather conditions. The results highlight the need for specialized training programs and an integrated approach that combines advanced technology with military tactics. Our findings suggest that commercial drones can significantly enhance the efficiency of military operations, but increased attention is required to understand the challenges that may arise due to the technological limitations of small commercial drones.
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Salma, N. M., and Khairuddin Osman. "Modelling and PID control system integration for quadcopter DJI F450 attitude stabilization." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 3 (2020): 1235. http://dx.doi.org/10.11591/ijeecs.v19.i3.pp1235-1244.
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<p><span style="font-family: Times New Roman;">In this paper we focus on the overall overview of the mathematical modelling of the DJI F450 UAV quadcopter, the hardware and software system integration based on PID control system for the attitude feedback. The parameter specification of the DJI F450 is fed into the mathematical model and implement a basic PID for the system. Future research using the DJI F450 model can benefit from this observation by implementing the modelling and tune in their own variable that varies, such as the overall of their weight. The data of PID control system simulation using the quadcopter frame model type DJI F450 parameter. The mathematical model for the quadcopter modelled DJI F450 is developed using Newton-Euler method. Altitude data for the control system is obtain from the analysis data of the Simulink simulation. The simulation is done using the Simulink toolbox inside the MATLAB software. From this paper, we can more understand the step involves in making a full control system of a quadcopter. The mathematical model for other type of quadcopter model can be implemented using the steps with their own parameter and achieve fast development.</span></p>
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Hamidah, Lilik. "Analisa Iklan Dji Sam Soe." Jurnal Ilmu Komunikasi 1, no. 2 (2011): 235–64. http://dx.doi.org/10.15642/jik.2011.1.2.235-264.
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Schröpfer, Jana. "DJI-Studie: Elternsicht auf Medienerziehung." merz | medien + erziehung 60, no. 5 (2016): 2. https://doi.org/10.21240/merz/2016.5.1.
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Beinahe alle deutschen Mütter und Väter fordern verschärfte Maßnahmen des Kinder- und Jugendmedienschutzes, während gut die Hälfte sehr restriktive Medienerziehungsmaßnahmen wie technische Filter ablehnt. Diese und weitere Ergebnisse hat das Deutsche Jugendinstitut (DJI) in einem Studien-Abschlussbericht zusammengetragen. Medienerfahrungen und -bildungsprozesse werden zuallererst im Kreise der Familie gesammelt. Die elterliche Medienerziehung hat damit eine herausragende Bedeutung. Das DJI interessierte sich deshalb in der Studie Digitale Medien: Beratungs-, Handlungs-, und Regulierungsbedarf aus Elternperspektive für die medienerzieherischen Sichtweisen deutscher Eltern. Dazu wurden seit 2013 im Rahmen eines Zusatzmoduls im quantitativen DJI-Survey Aufwachsen in Deutschland: Alltagswelten (AID:A II) 4.690 Mütter und 3.089 Väter von ein- bis 15-jährigen Kindern in insgesamt 4.800 Haushalten zu ihren Ansichten befragt. Fast 90 Prozent der befragten Mütter und rund 80 Prozent der Väter fordern eine verschärfte Durchsetzung des Kinder- und Jugendmedienschutzes. Sie sorgen sich vor allem um Internetgefahren, die von Werbung ausgehen (21 %), um verstörende und beängstigende Inhalte, versteckte Kosten und Betrug sowie beleidigende bzw. verletzende Aussagen gegenüber ihren Kindern (zu jeweils etwa 10 %). Dennoch verhalten sich viele Eltern hinsichtlich technischer Schutzmaßnahmen zögerlich: Nur 54 Prozent verwenden Programme oder Geräteeinstellungen, um ihre Kinder vor Internetgefahren zu schützen. Dabei werden Schutzvorkehrungen mit zunehmendem Alter der Kinder häufiger ergriffen, während Akademiker-Haushalte signifikant seltener solche Einstellungen verwenden. Während schulische Medienerziehung weitgehend begrüßt wird, herrschen unter den Eltern große Zurückhaltung und reichlich Bedenken über Medienerziehung in Kindertageseinrichtungen oder in der Tagespflege. Vor allem das Erlernen des Internetumgangs und das Kennenlernen neuer Medien werden in diesen Kontexten kritisch beäugt. Die DJIStudie ermöglicht daher auch Implikationen für politische Entscheidungen im Rahmen einer Digitalisierung von Kindergärten und Kitas. www.dji.de
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Van den Hurk, Arie, and Annelies Jorna. "De DJI en de wetenschap." PROCES 95, no. 5 (2016): 41–56. http://dx.doi.org/10.5553/proces/016500762016095005006.
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Lisa Kustina, Samsul Anwar, and Imas Mawar. "PENGARUH BURSA SAHAM GLOBAL TERHADAP INDEKS HARGA SAHAM GABUNGAN DI BURSA EFEK INDONESIA." Jurnal Investasi 4, no. 1 (2018): 1–10. http://dx.doi.org/10.31943/investasi.v4i1.32.
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Tujuan Penelitian ini adalah untuk mengetahui pengaruh bursa saham global terhadap indeks harga saham gabungan di Bursa Efek Indonesia. Bursa saham global yang digunakan dalam penelitian ini adalah Dow Jones Index (DJI), Korea Stock Price Composite Index (KOSPI), Tokyo Stock Exchange (Nikkei heikin kabuki / Nikkei 225), dan Australian Securities Exchange (ASX). Sampel yang diteliti dalam penelitian ini adalah periode 2015 hingga 2017. Penelitian ini menggunakan regresi linear berganda untuk mengolah data penelitian. Hasil Penelitian ini menunjukkan bahwa Dow Jones Index (DJI), Korea Stock Price Composite Index (KOSPI), Tokyo Stock Exchange (Nikkei heikin kabuki / Nikkei 225), dan Australian Securities Exchange (ASX) secara parsial berpengaruh terhadap Indek Harga Saham Gabungan diIndonesia. Dow Jones Index (DJI), Korea Stock Price Composite Index (KOSPI), dan Australian Securities Exchange (ASX) berpengaruh signifikan pada tingkat signifikansi 0.000 sedangkan Tokyo Stock Exchange (Nikkei 225) pada tingkat signifikansi 0.001.
 The purpose of this study was to determine the effect of global stock exchanges on the composite stock price index on the Indonesia Stock Exchange. The global stock exchanges used in this study are the Dow Jones Index (DJI), the Korea Stock Price Composite Index (KOSPI), the Tokyo Stock Exchange (Nikkei Heikin Kabuki / Nikkei 225), and the Australian Securities Exchange (ASX). The sample examined in this study is the period 2015 to 2017. This study uses multiple linear regression to process research data. The results of this study indicate that the Dow Jones Index (DJI), the Korea Stock Price Composite Index (KOSPI), the Tokyo Stock Exchange (Nikkei Heikin Kabuki / Nikkei 225), and the Australian Securities Exchange (ASX) partially affect the Composite Stock Price Index in Indonesia. The Dow Jones Index (DJI), the Korea Stock Price Composite Index (KOSPI), and the Australian Securities Exchange (ASX) have a significant effect on the significance level of 0,000 while the Tokyo Stock Exchange (Nikkei 225) is at a significance level of 0.001.
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Liu, Zongyue. "From Technological Innovation to Brand Ecosystem: DJI's Marketing Secrets and Insights." Advances in Economics, Management and Political Sciences 153, no. 1 (2025): 1–9. https://doi.org/10.54254/2754-1169/2024.19466.
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With the rapid expansion of the global UAV market, DJI has solidified its position as a leader primarily through technological innovation. However, as competition intensifies, questions arise about whether technological superiority alone can sustain DJI's market dominance. This study addresses this issue by examining how DJI leverages brand marketing and ecosystem development to enhance its technological advantage, using a case study approach with process tracing. Findings demonstrate that DJI strategically builds brand influence through active social media engagement, offline events, and cross-industry collaborations. These efforts contribute to a robust brand ecosystem that not only strengthens user engagement but also fosters deep customer loyalty. Additionally, this research introduces an interactive model"technological innovationbrand marketingbrand ecosystem"to illustrate the dynamic relationship between these factors. This framework provides valuable insights into how technology-driven firms like DJI can achieve long-term market competitiveness by combining technological advancements with comprehensive brand and ecosystem strategies. Ultimately, the study underscores the importance of an integrated approach that extends beyond technological prowess to include active brand building and ecosystem development for sustained market leadership.
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Kherrazi, Soufiane, and Christophe Roquilly. "Le SI dans la fonction juridique : exploration des pratiques d’alignement stratégique." Systèmes d'information & management Volume 28, no. 4 (2024): 43–70. http://dx.doi.org/10.3917/sim.234.0043.
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Cette recherche se propose d’examiner la question de l’adoption du SI et des outils IT dans le contexte juridique, en particulier dans le cas de la Direction Juridique innovante (DJI). Il s’agit d’étudier le déploiement de ces outils ainsi que les pratiques favorisant leur alignement stratégique au sein de la DJI. Cette recherche s’appuie sur une étude de cas pionnier, complétée par des données secondaires. Les résultats mettent en évidence le développement interne à la DJI comme mode de déploiement des outils SI/IT dans laquelle les pratiques assurant l’alignement stratégique favorisent le développement de compétences internes (équipe dédiée), la proximité du top management (Comex) et des clients internes (méthode agile) ainsi qu’une culture orientée vers la créativité et la création de valeur. Ces résultats viennent relativiser en grande partie le schéma traditionnel d’adoption des outils SI/IT dans les directions supports. Ces résultats sont, ensuite, mis en perspective pour souligner les implications de ce mode de déploiement sur la finalité des outils SI/IT ainsi que la nature de leur alignement stratégique dans une DJI.
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Yuvi, Putri Septiana, Izaz Al Atsari Muhammad, and Ria Retnasih Nora. "Comparative Analysis of Economic Forces and Stock Market Movements: The U.S. and Indonesia." Journal of Economics, Finance And Management Studies 07, no. 09 (2024): 6081–100. https://doi.org/10.5281/zenodo.13879608.
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The economies of many developed and developing countries are experiencing instability, characterized by a decline in economic performance. In a macroeconomic context, global instability affects several key indicators such as production indices, exchange rates, interest rates, and inflation rates. The occurrence of shocks to macroeconomic indicators certainly increases the volatility of a country's capital markets. This quantitative research examines the correlation of shocks to each key indicator of capital market performance in Indonesia and the United States. This research uses the VECM method. The research shows that the influence of macroeconomic indicators tends to fluctuate in the short term and is stable in the long term. Where the production and inflation indices have a positive and significant effect on the IDX Composite and the DJI, this is different from interest rates, which negatively impact the IDX Composite and DJI. Meanwhile, the exchange rate indicator has no significant effect on IDX Composite or DJI. The research also found that the IDX Composite was predominantly influenced by exchange rates and inflation, while the DJI was predominantly influenced by production index indicators, inflation, and interest rates.
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Barbosa, P. C., D. C. Fargas Jr., and G. A. M. Narciso. "COMPARATIVE ANALYSIS OF LOW-COST CONSUMER-GRADE AND COMMERCIAL-GRADE DRONES FOR LAND SURVEYING APPLICATIONS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W8-2023 (April 24, 2024): 31–37. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w8-2023-31-2024.
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Abstract. This study investigates the feasibility of using low-cost consumer drones, specifically the DJI Mini 2, for land surveys compared to commercial-grade drones like the DJI Phantom 4 Pro V2. The research, conducted within the University of the Philippines - Diliman campus, evaluates the horizontal accuracy of resulting ortho-images and explores the advantages and disadvantages of each platform. Initiated by the recognition of aerial drones' transformative impact on land surveying, particularly acknowledged by the Land Management Bureau in the Philippines, the study addresses concerns about the use of consumer-grade drones for surveying. While some advocate for commercial-grade drones, citing concerns about accuracy, a prior study in India demonstrated the suitability of consumer-grade drones for geomatics applications. The methodology involves creating a flight plan with specified parameters for both drones, establishing Ground Control Points (GCPs), and conducting two flights. The results, processed using UAS Mapping Workflow, indicate comparable errors between the consumer-grade DJI Mini 2 and commercial-grade DJI Phantom 4 Pro V2. Despite slight differences, both drones meet the accuracy standards for land surveys. The study contributes to the discourse on affordable means of secure land tenure, envisioning consumer-grade drones as viable alternatives for cost-effective land surveys. The DJI Mini 2, at a fraction of the cost, demonstrates the capability to achieve accuracy levels comparable to its commercial counterpart. While acknowledging the need for further testing and optimization, the findings suggest the potential of consumer-grade drones in advancing sustainable urban development and poverty reduction through accessible land survey methods.
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Taddia, Yuri, Francesco Stecchi, and Alberto Pellegrinelli. "Coastal Mapping Using DJI Phantom 4 RTK in Post-Processing Kinematic Mode." Drones 4, no. 2 (2020): 9. http://dx.doi.org/10.3390/drones4020009.
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Topographic and geomorphological surveys of coastal areas usually require the aerial mapping of long and narrow sections of littoral. The georeferencing of photogrammetric models is generally based on the signalization and survey of Ground Control Points (GCPs), which are very time-consuming tasks. Direct georeferencing with high camera location accuracy due to on-board multi-frequency GNSS receivers can limit the need for GCPs. Recently, DJI has made available the Phantom 4 Real-Time Kinematic (RTK) (DJI-P4RTK), which combines the versatility and the ease of use of previous DJI Phantom models with the advantages of a multi-frequency on-board GNSS receiver. In this paper, we investigated the accuracy of both photogrammetric models and Digital Terrain Models (DTMs) generated in Agisoft Metashape from two different image datasets (nadiral and oblique) acquired by a DJI-P4RTK. Camera locations were computed with the Post-Processing Kinematic (PPK) of the Receiver Independent Exchange Format (RINEX) file recorded by the aircraft during flight missions. A Continuously Operating Reference Station (CORS) located at a 15 km distance from the site was used for this task. The results highlighted that the oblique dataset produced very similar results, with GCPs (3D RMSE = 0.025 m) and without (3D RMSE = 0.028 m), while the nadiral dataset was affected more by the position and number of the GCPs (3D RMSE from 0.034 to 0.075 m). The introduction of a few oblique images into the nadiral dataset without any GCP improved the vertical accuracy of the model (Up RMSE from 0.052 to 0.025 m) and can represent a solution to speed up the image acquisition of nadiral datasets for PPK with the DJI-P4RTK and no GCPs. Moreover, the results of this research are compared to those obtained in RTK mode for the same datasets. The novelty of this research is the combination of a multitude of aspects regarding the DJI Phantom 4 RTK aircraft and the subsequent data processing strategies for assessing the quality of photogrammetric models, DTMs, and cross-section profiles.
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Doğan, Taylan Taner. "AMERİKAN MENKUL KIYMETLER BORSASININ TÜRKİYE MENKUL KIYMETLER BORSASI ÜZERİNDEKİ KISA VE UZUN DÖNEM ETKİSİ: ARDL SINIR TESTİ YAKLAŞIMI." Journal of Economics and Research 6, no. 1 (2025): 1–17. https://doi.org/10.53280/jer.1640504.
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Bu çalışma, Amerikan Menkul Kıymetler Borsası getirileri ve oynaklığının Türkiye Menkul Kıymetler Borsası üzerindeki kısa ve uzun dönem etkilerini analiz etmeyi amaçlamaktadır. Amerikan Menkul Kıymetler Borsasını temsilen Dow Jones Industrial (DJI) endeksi ve Türkiye Menkul Kıymetler Borsasını temsilen ise Bist30 endeksi kullanılmaktadır. Veri seti, 1 Temmuz 2021 ile 27 Eylül 2024 tarihleri arasındaki günlük getirileri içermektedir. Model tahminleri için Otoregresif Dağıtılmış Gecikme (ARDL) modeli ve Genelleştirilmiş Otoregresif Koşullu Varyans (GARCH) tabanlı oynaklık değişkenleri kullanılmıştır. Bai-Perron testi, dört farklı yapısal kırılma tespit etmiş ve bu kırılmalar modele dahil edilmiştir. Sonuçlar, DJI getirilerinin kısa dönemde BIST 30 üzerinde hiçbir bir etkisinin olmadığını, ancak uzun dönemde pozitif ve anlamlı bir ilişkiye işaret ettiğini göstermektedir. Buna karşın, DJI oynaklığı Türkiye Borsası getirileri üzerinde kısa dönemde anlamlı ve değişken / karışık etkiler yaratmaktadır. Bulgular, küresel finansal piyasaların entegrasyonu ve oynaklık faktörünün yerel borsa performansı üzerindeki etkisini vurgulamaktadır.
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Andonov, Vasil, and Yordan Shterev. "IDENTIFYING AND ANALYZING DJI DRONE SIGNALS." ENVIRONMENT. TECHNOLOGY. RESOURCES. Proceedings of the International Scientific and Practical Conference 5 (June 8, 2025): 43–49. https://doi.org/10.17770/etr2025vol5.8486.
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The widespread use of drones in commercial, industrial, military and security applications has led to a growing need for techniques to analyse their signals. Understanding the communication signals of drones is essential for applications such as airspace monitoring, counter-unmanned aerial vehicles technologies and electronic warfare. This defines the topicality of the topic. That is why the purpose of the study focuses on the identification and analysis of DJI drone signals using software defined radio. The research aims to find their frequencies usage, look for the drone activities in spectrogram, record them and characterize modulation types of drones, specifically the DJI Air 3 and Phantom 4. The working methods are based on using HackRF One software defined radio alongside the DragonOS operating system and HackRF Spectral Analyzer, SDR++ and Inspectrum software. Signal identification is performed in controlled urban and non-urban environments, allowing for the examination of telemetry signal. Different signal processing techniques are used including spectral analysis and modulation classification are applied to identify DJI drone ID. By analysing frequency bands, bandwidth requirements, and transmission structures, the study indicates how both drones communicate and adapt to environmental factors such as interference. Main conclusions from this paper are revealing that DJI drones use frequency hopping, orthogonal frequency division multiplexing modulation adapting itself with quadrature phase shift keying, 16 and 64 quadrature amplitude modulation depending on the enviroment. They also use Zadoff-Chu sequencies for synchronizing their drone ID packets. Having in mind this, the signal width and strength also chages based on the urban or no-urban environments that the drone is.
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Çakır, Abdülkadir, and Seyit Akpancar. "ROS-Based Control of the DJI Matrice 100 Robot with QR Images Obtained from DJI Guidance." International Journal of Engineering Trends and Technology 68, no. 1 (2020): 45–50. http://dx.doi.org/10.14445/22315381/ijett-v68i1p206.
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Wisniewski, Mariusz, Zeeshan A. Rana, and Ivan Petrunin. "Drone Model Classification Using Convolutional Neural Network Trained on Synthetic Data." Journal of Imaging 8, no. 8 (2022): 218. http://dx.doi.org/10.3390/jimaging8080218.
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We present a convolutional neural network (CNN) that identifies drone models in real-life videos. The neural network is trained on synthetic images and tested on a real-life dataset of drone videos. To create the training and validation datasets, we show a method of generating synthetic drone images. Domain randomization is used to vary the simulation parameters such as model textures, background images, and orientation. Three common drone models are classified: DJI Phantom, DJI Mavic, and DJI Inspire. To test the performance of the neural network model, Anti-UAV, a real-life dataset of flying drones is used. The proposed method reduces the time-cost associated with manually labelling drones, and we prove that it is transferable to real-life videos. The CNN achieves an overall accuracy of 92.4%, a precision of 88.8%, a recall of 88.6%, and an f1 score of 88.7% when tested on the real-life dataset.
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Mariani, Maria C., William Kubin, Peter K. Asante, and Osei K. Tweneboah. "Volatility Analysis of Financial Time Series Using the Multifractal Conditional Diffusion Entropy Method." Fractal and Fractional 8, no. 5 (2024): 274. http://dx.doi.org/10.3390/fractalfract8050274.
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In this article, we introduce the multifractal conditional diffusion entropy method for analyzing the volatility of financial time series. This method utilizes a q-order diffusion entropy based on a q-weighted time lag scale. The technique of conditional diffusion entropy proves valuable for examining bull and bear behaviors in stock markets across various time scales. Empirical findings from analyzing the Dow Jones Industrial Average (DJI) indicate that employing multi-time lag scales offers greater insight into the complex dynamics of highly fluctuating time series, often characterized by multifractal behavior. A smaller time scale like t=2 to t=256 coincides more with the state of the DJI index than larger time scales like t=256 to t=1024. We observe extreme fluctuations in the conditional diffusion entropy for DJI for a short time lag, while smoother or averaged fluctuations occur over larger time lags.
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Tao, Sangtianyu. "Case Study Analysis of Integrated Marketing for DJI OSMO Pocket 3." Proceedings of Business and Economic Studies 8, no. 2 (2025): 55–61. https://doi.org/10.26689/pbes.v8i2.10272.
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With the rapid development of technology and fierce competition in the digital industry, integrated marketing plays a vital role in product promotion and sales. This article focuses on DJI OSMO Pocket 3, revealing the reasons for its fiery “out of the circle” and the problems and challenges it faces by analyzing its marketing environment and marketing strategies, to provide useful references for DJI and similar brands to expand their brand awareness and enhance their market competitiveness in the future.
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Suroso, Indreswari. "The Analysis of Dry Weather Aerial Photography in Sermo Kulonprogo Reservoir using DJI Spark Drone." IOP Conference Series: Earth and Environmental Science 884, no. 1 (2021): 012045. http://dx.doi.org/10.1088/1755-1315/884/1/012045.
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Abstract Drones are a very important medium in the world of aerial photography to map military operations, agricultural areas, plantations, mining, urban planning, disaster mitigation, and outreach to remote areas and two types have been identified which are the winged and quadcopter. This research was conducted to map the drought-prone areas during the dry season in the Sermo Reservoir area, Kokap, Kulon Progo Regency between 14-15 August 2019. This involved the use of the DJI Spark quadcopter due to its more stability and wind resistance. The process involved connecting the DJI Spark drone remote controller to a smartphone, opening of DJI Go application, DJI Spark drone activation, smartphone installation on the remote controller holder, propeller installation, GPS settings in a locked position, drone flight and position adjustment, and capturing of the images on the smartphone screen. The results showed the water flow of the Sermo Reservoir has decreased by approximately 4 meters due to the dry season. This was evident in the changes from its original position of136.6 meters above sea level to 132.6 meters and this limits the quantity of water available to irrigate rice fields. The reservoir still has the capability to supply 800 liters per second in Pengasih District but the results of the aerial photographs showed the existence of drought and a decrease in the water discharge.
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Kiss, Barnabas, Aron Ballagi, and Miklos Kuczmann. "An Efficiency Examination of the DJI Mavic 2 Pro’s Precision Landings." International Journal of Media and Networks 2, no. 9 (2024): 01–13. https://doi.org/10.33140/ijmn.02.09.03.
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This paper reports on the results of multicast latency and round trip time measurements for a particular deployment of nodes In recent times, the application areas of unmanned aerial vehicles (UAVs) are expanding, and autonomous functions are becoming increasingly prominent, eliminating the need for remote pilot control. Certain applications require the drone to use a docking station autonomously, even for wireless charging. This involves performing autonomous takeoff and landing, where high precision is demanded. These maneuvers can be significantly influenced by environmental factors. The effectiveness of the precision landing function of the DJI Mavic 2 Pro UAV in strong winds is investigated in this article based on experimental measurements conducted outdoors. New findings on the precision landing capabilities of the DJI Mavic 2 Pro UAV are presented in this paper, particularly under windy conditions. The efficiency of precision landing is compared in cases when the precision landing function is enabled versus when it is disabled. It is investigated whether there is a statistically significant difference between the two landing modes in strong winds and it is examined whether the DJI Mavic 2 Pro can perform precision landing on a surface of a specific size in windy conditions. This helps to predict the suitability of the DJI Mavic 2 Pro for precise landing and wireless charging at a docking station in strong winds and high gusts.
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Calderon, Rafael de Azevedo, and Claudene Menezes Atayde Calderon. "AVALIAÇÃO DA MEDIÇÃO VOLUMÉTRICA DE PILHAS DE AREIA UTILIZANDO DRONES." Revista ft 29, no. 141 (2024): 13–14. https://doi.org/10.69849/revistaft/ni10202412061413.
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Este estudo avalia a confiabilidade do uso de drones para a medição volumétrica de pilhas de areia sem o uso de pontos de apoio. Foram comparados os resultados obtidos com três diferentes modelos de drones (DJI Mavic Mini, DJI Mavic Air e DJI Air 2S). O experimento foi conduzido no pátio de estocagem de areia da empresa Asa Branca, utilizando barras de escala para verificar a acurácia das medições lineares e volumétricas dos modelos digitais gerados. Foram realizados voos a uma altura de 50 metros, com taxas de sobreposição de 85% (frontal) e 75% (lateral), e os dados foram processados no software Agisoft Metashape Pro. Os resultados indicaram que, sem calibração, os erros de medição variaram abaixo de 5%, sendo reduzidos para menos de 0,3% com a correção de escala. A análise de variância revelou que as diferenças entre drones e métodos de processamento não são significativas. Conclui-se que o mapeamento com drones pode fornecer resultados confiáveis para aplicações práticas.
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Liu, Xin. "DJIs Internationalization Path and Strategies Facing Challenges from the Perspective of Economics." Advances in Economics, Management and Political Sciences 162, no. 1 (2025): 84–89. https://doi.org/10.54254/2754-1169/2025.20070.
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With the acceleration of globalization, cross-border trade is becoming more and more important, and the overseas market expansion of technology enterprises has attracted much attention. As a representative of Chinese technology enterprises, Shenzhen DJI Sciences and Technologies Ltd (DJI) has performed outstandingly in the field of drones and successfully gone international from domestic market. As an emerging technology product, drones have broad application prospects and growing demand. DJI faces market competition and challenges in cross-border trade, such as political risks, technical barriers, and trade frictions. However, it actively responds through innovation and optimization. While developing new technologies, it is also constantly improving the security system for users. This study analyzes DJIs internationalization path and its strategy to deal with the pressure of the United States from an economic perspective. It has played a good role in the overseas development of Chinese science and technology enterprises. Its successful experience is of referencing significance for the overseas expansion of other technology enterprises.
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Jarahizadeh, Sina, and Bahram Salehi. "A Comparative Analysis of UAV Photogrammetric Software Performance for Forest 3D Modeling: A Case Study Using AgiSoft Photoscan, PIX4DMapper, and DJI Terra." Sensors 24, no. 1 (2024): 286. http://dx.doi.org/10.3390/s24010286.
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Three-dimensional (3D) modeling of trees has many applications in various areas, such as forest and urban planning, forest health monitoring, and carbon sequestration, to name a few. Unmanned Aerial Vehicle (UAV) photogrammetry has recently emerged as a low cost, rapid, and accurate method for 3D modeling of urban and forest trees replacing the costly traditional methods such as plot measurements and surveying. There are numerous commercial and open-source software programs available, each processing UAV data differently to generate forest 3D modeling and photogrammetric products, including point clouds, Digital Surface Models (DSMs), Canopy Height Models (CHMs), and orthophotos in forest areas. The objective of this study is to compare the three widely-used commercial software packages, namely, AgiSoft Photoscan (Metashape) V 1.7.3, PIX4DMapper (Pix4D) V 4.4.12, and DJI Terra V 3.7.6 for processing UAV data over forest areas from three perspectives: point cloud density and reconstruction quality, computational time, DSM assessment for height accuracy (z) and ability of tree detection on DSM. Three datasets, captured by UAVs on the same day at three different flight altitudes, were used in this study. The first, second, and third datasets were collected at altitudes of 60 m, 100 m, and 120 m, respectively over a forested area in Tully, New York. While the first and third datasets were taken horizontally, the second dataset was taken 20 degrees off-nadir to investigate the impact of oblique images. Results show that Pix4D and AgiSoft generate 2.5 times denser point clouds than DJI Terra. However, reconstruction quality evaluation using the Iterative Closest Point method (ICP) shows DJI Terra has fewer gaps in the point cloud and performed better than AgiSoft and Pix4D in generating a point cloud of trees, power lines and poles despite producing a fewer number of points. In other words, the outperformance in key points detection and an improved matching algorithm are key factors in generating improved final products. The computational time comparison demonstrates that the processing time for AgiSoft and DJI Terra is roughly half that of Pix4D. Furthermore, DSM elevation profiles demonstrate that the estimated height variations between the three software range from 0.5 m to 2.5 m. DJI Terra’s estimated heights are generally greater than those of AgiSoft and Pix4D. Furthermore, DJI Terra outperforms AgiSoft and Pix4D for modeling the height contour of trees, buildings, and power lines and poles, followed by AgiSoft and Pix4D. Finally, in terms of the ability of tree detection, DJI Terra outperforms AgiSoft and Pix4D in generating a comprehensive DSM as a result of fewer gaps in the point cloud. Consequently, it stands out as the preferred choice for tree detection applications. The results of this paper can help 3D model users to have confidence in the reliability of the generated 3D models by comprehending the accuracy of the employed software.
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Bauer, Péter, and Mihály Nagy. "Flight-Data-Based High-Fidelity System Identification of DJI M600 Pro Hexacopter." Aerospace 11, no. 1 (2024): 79. http://dx.doi.org/10.3390/aerospace11010079.
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Research and industrial application can require custom high-level controllers for industrial drones. Thus, this paper presents the high-fidelity dynamic and control model identification of the DJI M600 Pro hexacopter. This is a widely used multicopter in the research and industrial community due to its high payload capability and reliability. To support these communities, the focus of control model identification was on the exploration and implementation of DJI Onboard Software Development Kit (OSDK) functionalities, also including some unconventional special modes. Thus, the resulting model can be controlled with the same OSDK functionalities as the real drone, making control development and application time effective. First, the hardware and software structure of the additional DJI M600 onboard system are introduced. Then, the postulated dynamic and control system models are shown. Next, real flight test campaigns generating data for system identification are presented. Then, the mass and inertial properties are estimated for TB47S and TB48S battery sets and the custom Forerunner UAV payload. Dynamic system model identification includes the aerodynamic effects and considers hover, vertical, and horizontal forces together with static horizontal wind components and finally the rotational moments and dynamics. The control system components were identified following the structure of OSDK, including vertical, horizontal, and yaw loops. After identification, the model was validated and refined based on an unused flight test and software-in-the-loop simulation data. The simulation is provided by DJI and was also compared to real flight results. This comparison showed that the DJI simulation covers the dynamics of the real drone well, but it requires being connected to the drone and needs the controllers onboard to be implemented in advance, which limits applicability and increases development time. This was another motivation to introduce a standalone simulation in Matlab Simulink, which covers all the important modes of OSDK control and can be run solely in Matlab without any hardware support. The constructed model will be published for the benefit of the research and industrial community.
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Haleeva, Antonina, Vasyl Hruban, Maxim Horbunov, and Marek Ruzhniak. "Improving the process of plant protection mechanisation in grape growing." Ukrainian Black Sea Region Agrarian Science 28, no. 4 (2024): 85–95. https://doi.org/10.56407/bs.agrarian/4.2024.85.
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The study aimed to investigate the impact of modern vineyard cultivation technologies on reducing pesticide consumption and increasing yields. The study evaluated the effectiveness of using AgriSpray 5000 sprayers and DJI Agras T30 drones in agronomy, particularly in viticulture. The research methodology included an analysis of pesticide consumption and grape yields before and after the introduction of these technologies. For this purpose, a comparative analysis was carried out with traditional methods of processing, in particular by hand. The use of AgriSpray 5000 sprayers and DJI Agras T30 drones has reduced pesticide consumption by 30 and 25%, respectively, thanks to the precise distribution of solutions and the automation of field processing. The main results of the study showed that AgriSpray 5000 sprayers reduced the number of diseased grape plants by 40%, which led to a 15% increase in yield. At the same time, DJI Agras T30 drones reduced the number of diseased plants by 35% and increased yields by 12%. The integration of new technologies has reduced the overall cost of vineyard cultivation by 20%, in particular, due to lower pesticide and labour costs. The study findings show that the introduction of modern sprayers and drones significantly optimises vineyard processing, reduces costs and increases yields. The AgriSpray 5000 and DJI Agras T30 technologies provide a high level of precision in the application of agrochemicals, which has a positive impact on the environment and economic results. The results confirm the effectiveness of the latest technologies as an important tool for increasing the competitiveness of Ukrainian vineyards and improving product quality
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Kurbanov, R. K. "Algorithm for Calculating the Flight Time of an Unmanned Aerial Vehicle for Aerial Photography." Agricultural Machinery and Technologies 17, no. 1 (2023): 35–40. http://dx.doi.org/10.22314/2073-7599-2023-17-1-35-40.
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The paper shows the possibility of using unmanned aerial vehicles with additional outboard equipment for aerial photography. It is noted that some parameters of the drone and additional suspension equipment are not taken into account by the software when calculating the drone flight time for one battery charge. (Research purpose) To develop an algorithm for calculating the flight time of an unmanned aerial vehicle with installed outboard equipment. (Materials and methods) The technical characteristics of DJI Phantom 4 pro and DJI Matrice 200v2 were studied, as well as the specifications of Parrot Sequoia, MicaSense Altum multispectral cameras mounted on the drone. The existing research results are used to calculate the flight mission time depending on the route length and the battery capacity. (Results and discussion) It is found that the maximum flight time of a drone with additional outboard equipment is reduced due to the additional equipment mass, increased power consumption, the preflight preparation time, the need to return to the take-off point and the necessity to preserve the battery life and save the flight load. The maximum flight time calculated for DJI Phantom 4 pro and DJI Matrice 200v2 with multispectral cameras Parrot Sequoia, MicaSense Altum is 8 minutes and 18 minutes, respectively, with a minimum flight load. A method for calculating the number of batteries for aerial photography with additional outboard equipment is determined. (Conclusions) An algorithm for calculating the flight time of an unmanned aerial vehicle with additional outboard equipment is developed, the parameters ignored by the standard software in the flight time calculation are taken into account.
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Junaidi, Junaidi, and Diva Syandriaji. "Photogrammetry Technology by Using DJI Phantom 4 RTK in Batang Mahat, Lima Puluh Kota Regency West Sumatera." Jurnal Ilmiah Rekayasa Sipil 20, no. 1 (2023): 61–70. http://dx.doi.org/10.30630/jirs.v20i1.1055.
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Technological developments in the field of engineering have increased rapidly. The use of geospatial information becomes one of the bases for decision-making related to planning, managing, and evaluating a field, especially in engineering, which includes the field of measurement and making topographic maps or Digital Elevation Model (DEM). High-resolution geospatial information can create a high-resolution Digital Elevation Model (DEM) map that can be very useful in making models or maps of flood-affected areas. This research will use the photogrammetry technology with DJI Phantom 4 RTK to create the DEM data of Batang Mahat located in Lima Puluh Kota Regency, West Sumatra Province. 28 flights at predetermined points had carried out to measure the area of about 9 km2. All the results of photos captured by the drone will be imported to Agisoft Metashape 1.8.2 software to create the DEM data. The DEM was then compared with DEM data from DEMNAS and the measurement data of Batang Mahat by the SDABK office. The result shows that photogrammetry technology using DJI Phantom 4 RTK compared to measurement data and DEMNAS have a similar ground elevation but different river elevation. This is because the photogrammetry by using DJI Phantom 4 RTK is not equipped with LiDAR. An alternative to solve the problem is by combining the DEM data by DJI Phantom 4 RTK with data from terrestrial surveys. However, this method is quite expensive and ineffective in analyzing flood inundation compared to DEM data (8 m resolution) from DEMNAS.
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Ramirez Rejas, Ruth de Jesus, Ricardo Linares Juarez, Hugo Manuel Barraza Vizcarra, and Edgar Taya Acosta. "Social Distancing Detection By Drone Exploration." TECHNO REVIEW. International Technology, Science and Society Review /Revista Internacional de Tecnología, Ciencia y Sociedad 11, no. 2 (2022): 159–73. http://dx.doi.org/10.37467/revtechno.v11.3323.
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Facing the criticality of the COVID 19 pandemic, we propose an artificial intelligence system with a modern approach detecting people and their social distancing in crowded places using thermal images obtained from the DJI Mavic 2 Enterprise Dual drone. We implement an algorithm that analyzes two types of images: color and thermal, to measure the distance between people. We used the Fast R-CNN neural network; the images with videos were extracted from the DJI Pilot application. The objective is to identify the distance between people. The results obtained show that the proposed algorithm is suitable for monitoring the city.
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Struckmeyer, Kati. "Eine App muss auch herausfordern." merz | medien + erziehung 58, no. 3 (2014): 53–56. http://dx.doi.org/10.21240/merz/2014.3.19.
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Im März 2014 ging die Datenbank des Deutschen Jugendinstituts (DJI) www.datenbank-apps-fuer-kinder.de online, in der Apps für Kinder besprochen und bewertet werden. Die Rezensionen von über 150 Apps haben zum Ziel, Eltern und pädagogisches Fachpersonal über die Vielfalt und Qualität der Angebote zu informieren. Die Datenbank wird im DJI-Projekt „Digitale Medien in der Lebenswelt von Klein- und Vorschulkindern“ in Kooperation mit dem Blickwechsel e. V., klick-tipps.net und der Stiftung Lesen erstellt und kontinuierlich erweitert. Im Interview beantwortete Dr. Christine Feil, Projektleiterin der Datenbank, verschiedene Fragen zum Hintergrund des Projekts und Apps im Allgemeinen.
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Stanković, Miloš, Mohammad Meraj Mirza, and Umit Karabiyik. "UAV Forensics: DJI Mini 2 Case Study." Drones 5, no. 2 (2021): 49. http://dx.doi.org/10.3390/drones5020049.
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Rapid technology advancements, especially in the past decade, have allowed off-the-shelf unmanned aerial vehicles (UAVs) that weigh less than 250 g to become available for recreational use by the general population. Many well-known manufacturers (e.g., DJI) are now focusing on this segment of UAVs, and the new DJI Mini 2 drone is one of many that falls under this category, which enables easy access to be purchased and used without any Part 107 certification and Remote ID registration. The versatility of drones and drone models is appealing for customers, but they pose many challenges to forensic tools and digital forensics investigators due to numerous hardware and software variations. In addition, different devices can be associated and used for controlling these drones (e.g., Android and iOS smartphones). Moreover, according to the Federal Aviation Administration (FAA), the adoption of Remote ID is not going to be required for people without the 107 certifications for this segment at least until 2023, which creates finding personally identifiable information a necessity in these types of investigations. In this research, we conducted a comprehensive investigation of DJI Mini 2 and its data stored across multiple devices (e.g., SD cards and mobile devices) that are associated with the drone. The aim of this paper is to (1) create several criminal-like scenarios, (2) acquire and analyze the created scenarios using leading forensics software (e.g., Cellebrite and Magnet Axiom) that are commonly used by law enforcement agencies, (3) and present findings associated with potential criminal activities.
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Setianingrum, Pristina Hermastuti, and Doddi Prastuti. "Analisis Korelasi dan Kointegrasi Indeks Pasar Saham Utama Dunia dan IDX Tahun 2013 - 2019." Jurnal Akuntansi dan Manajemen 19, no. 01 (2022): 22–48. http://dx.doi.org/10.36406/jam.v19i01.531.
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The Indonesia Stock Exchange (IDX) is one of the fastest growing capital markets. The relatively large proportion of foreign investment in the IDX is expected to cause a high frequency of inflows and outflows of funds from the IDX. There is a possibility that the inflows and outflows of the IDX will move to the stock exchanges of other countries which provide better profit opportunities. This study is to find out how big the correlation and cointegration of the world's major stock market indices, namely the European stock market represented by the London stock market (FTSE-100), the American stock market represented by the New York stock market (DJI), the Asian stock market represented by stock market in Singapore (STI) and Hong Kong (HKEX) against the composite stock price index on the Indonesia Stock Exchange (IDX). The conclusions obtained are (i) there is a positive (weak to moderate) and significant correlation between FTSE-100 with IDX, DJI with IDX, STI with IDX and HKEX with IDX, (ii) there is cointegration between FTSE-100 with IDX, DJI with IDX , STI with IDX and HKEX with IDX. Cointegration between the IDX composite stock price index and the stock market index in four other countries minimizes the possibility for investors to gain arbitrage profits by investing in foreign exchanges. (iii) FTSE-100, DJI, STI, HKEX and IDX do not have a unit root test, this means that the data in period t-1 does not affect the data in period t. This also means that the stock market in this study is a random walk
 Keywords: correlation, cointegration, arbitrage profit, Indonesian stock exchange, world's major stock market, random walk
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Nur Anisa, Medina, Rokhmatuloh, and Revi Hernina. "UAV application to estimate oil palm trees health using Visible Atmospherically Resistant Index (VARI) (Case study of Cikabayan Research Farm, Bogor City)." E3S Web of Conferences 211 (2020): 05001. http://dx.doi.org/10.1051/e3sconf/202021105001.
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This article describes the making of an oil palm tree health map using aerial photos extracted from UAV DJI Phantom 4. A DJI Phantom 4 was flown at 100 meters height at the Cikabayan Research Farm, Bogor City. Raw aerial photos from DJI Phantom 4 were processed using Agisoft Photoscan software to generate dense point clouds. These points were computed to produce a digital surface model (DSM) and orthophotos with a spatial resolution of 2.73 cm/pixel. Red, green, and blue bands of the photos were computed to provide the Visible Atmospherically Resistant Index (VARI). Also, orthophotos containing oil palm trees were digitized to create points in vector form. VARI pixel values were added to each point and classified into four classes: Needs Inspection, Declining Health, Moderately health, and Healthy. Resulted oil palm tree health map reveals that most of the oil palm trees in the study location are classified as Declining Health and Needs Inspection. Profitably, plantation workers can directly inspect oil palm trees whose health are declining, based on information derived from oil palm tree health map. The information that comes from this study will significantly save time and effort in monitoring oil palm trees’ healthiness.
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Howell, Lachlan G., Blake M. Allan, Don A. Driscoll, Daniel Ierodiaconou, Todd A. Doran, and Michael A. Weston. "Attenuation of Responses of Waterbirds to Repeat Drone Surveys Involving a Sequence of Altitudes and Drone Types: A Case Study." Drones 7, no. 8 (2023): 497. http://dx.doi.org/10.3390/drones7080497.
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Remotely piloted aircraft systems (RPAS, or ‘drones’ hereafter) have potential for surveying waterbird species and habitats, but there is a risk that the disturbance from drones could compromise count accuracy and bird welfare. We examined the response of 16 waterbird species to repeated up-and-back overhead drone flights (n = 50 flights) at multiple flight heights (80, 60, 40 and 20 m) using three common drone platforms (DJI Matrice 300, DJI Mavic 2 Enterprise Advanced and DJI Phantom 4). A ground observer scored the species’ responses to overhead drone flights, which ranged from no response (no change to initial behavior), vigilance (head turning and tracking), movement within the site (swimming, diving, flight into or on the water) and substantial flight resulting in departure from the pond (fleeing). A total of 280 waterbird encounters with overhead drones were observed. The most common response across all flights was no response (70.7%), followed by vigilance (27.5%), whereas more intense responses were comparatively rare (1.8%). The responses were of higher intensity during earlier overhead drone flights, before moderating substantially during later flights. Thus, our case study provides the first unambiguous evidence of the attenuation of responses of bird species to drones.
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Khajar, Ibnu. "BURSA EFEK GLOBAL DAN PENGARUHNYA TERHADAP BURSA EFEK INDNESIA PASCA KRISIS KEUANGAN 2008." Jurnal Ekonomi dan Bisnis 12, no. 2 (2011): 153. http://dx.doi.org/10.30659/ekobis.12.2.153-167.
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The global financial crisis has negatip effect on global capital markets include Indonesian Capital market (IDX). This aims of this research are, first, to, to knowing effect of global stock market to Indonesian Capital Maket. Second, to analyze how performance of each Global Capital Marketcompare with each others, than analyze wich are the best and worst market. The types of this research were descriptive and explanatory research and the research method with used seconder data and purposive sampling technique. The samples in this research are indexes of global capital markets, like as: DJI, NIKKEI, KOSPI, HSI, FTSE, ASX and JKSE (IHSG). Thedata collection technique is the literature study and documentation, while the data analysis technique is with Eviews. The results of this research indicated that (1) There are significantly simultan relationship between global capital markets (DJI, NIKKEI, KOSPI, HSI, FTSE and ASX) to Indonesian capital market (IHSG), and three global capital markets (DJI, FTSE and HSSI)has significant partial impact to IHSG. (2) There isn’t defference significance performance between each capital market in the global capital market. And (3) Indonesian capital market has highest average market return.Keywords: Global financial crisis, indexes of global capital, market return
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P, Vishva, Nivethitha P V, Sowndarya Lakshmi V, Vithun S S, and Manavaalan G. "Android Application to Control Commercial UAV." March 2023 5, no. 1 (2023): 83–95. http://dx.doi.org/10.36548/jucct.2023.1.006.
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Unmanned Aerial Vehicles (UAVs) have been used in many industries because they can fly out of sight, maximize production, reduce costs and risks, while ensuring visual security and safety for human workers during pandemics. A commercial drone is typically controlled and navigated using a remote control and a mobile application. Mobile apps are used to visualize the drone's coordinates on a map. There is no direct mobile app for controlling a developer drone like the DJI Matrice 100. This research presents a mobile application for controlling a DJI drone as well as a sensor system for providing information about obstacles encountered during the flight.
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Walper, Sabine, and Marion Horn. "Jungsein in unsicheren Zeiten." ZSE Zeitschrift für Soziologie der Erziehung und Sozialisation, no. 2 (May 2, 2024): 229–31. http://dx.doi.org/10.3262/zse2402229.
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Przybilla, H. J., M. Bäumker, T. Luhmann, H. Hastedt, and M. Eilers. "INTERACTION BETWEEN DIRECT GEOREFERENCING, CONTROL POINT CONFIGURATION AND CAMERA SELF-CALIBRATION FOR RTK-BASED UAV PHOTOGRAMMETRY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2020 (August 6, 2020): 485–92. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2020-485-2020.
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Abstract. Unmanned Aerial Vehicles (UAV) are enjoying increasing popularity in the photogrammetric community. The Chinese supplier DJI is the market leader with about 70% of the global consumer UAV market. The Phantom model has been available for more than 10 years and its current version "RTK" is equipped with a 2-frequency GNSS receiver, as a basis for direct georeferencing of image flights, using RTK or PPK technologies.In the context of the paper, different case studies are investigated, which allow statements on the geometric accuracy of UAV image flights as well as on the self-calibration of the camera systems.In the first example, four DJI Phantom 4 RTK systems are examined, which were flown in a cross flight pattern configuration on the area of the UAV test field "Zeche Zollern" in Dortmund, Germany. The second example analyses the results of an open moorland area where the establishment of GCPs is extremely difficult and expensive, hence direct georeferencing offers a promising way to evaluate deformations, soil movements or mass calculations. In this example a DJI Matrice 210 v2 RTK drone has been used and the results of two different software packages (Agisoft Metashape and RealityCapture) are analysed. The third example presents a reference building that has been established by the Lower Saxony administration for geoinformation in order to evaluate UAV photogrammetry for cadastral purposes. Here again a DJI Phantom 4 RTK has been tested in a variety of flight configurations and a large number of high precision ground control and check points.The case studies show that the RTK option leads to sufficient results if at least 1 GCP is introduced. Flights without any GCPs lead to a significant height error in the order of up to 30 GSD.
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HLOTOV, V., and I. PETRYSHYN. "Investigation of the accuracy of determination of coordinates of location points by VLP-16 laser scanner installed on DJI S1000 UAV." Modern achievements of geodesic science and industry 1, no. 43 (2022): 101–10. http://dx.doi.org/10.33841/1819-1339-1-43-101-110.
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Goal. The aim of the work is to study the accuracy of determining the coordinates using a laser scanner laser scanner VLP-16 mounted on an octocopter DJI S1000. The authors implemented the technological scheme of installation of the VLP-16 laser scanner on the DJI S1000 octocopter and the method of studying the accuracy of determining the spatial coordinates of the points of objects with a laser scanner. The Department of Photogrammetry and Geoinformatics has developed a high-tech integrated complex of UAVs helicopter type DJI S1000 with air laser scanner Velodyne Lidar VLP- 16. As a result of creation of a complex the completely unified system without additional manufacturing of precision details and knots is received. For the S1000 helicopter-type UAV, test flights were performed to determine the accuracy of the obtained spatial coordinates using a scanner mounted on the body of the octocopter, the results were respectively: mX = 0.04 m, mY = 0.03 m, mZ = 0.04 m. The obtained results should be applied to the complex for various topographic and applied problems. Results. The proposed complex was tested at the appropriate control points obtained during aeroscanning with UAVs at control points, which made it possible to justify the effectiveness of the proposed method. Scientific novelty. For the first time, a compact, active VLP-16 laser scanner was tested on an DJI S1000 octocopter UAV. Practical significance. The obtained data from laser scanning can be used to solve various engineering problems. Namely, the creation of 3D-models of architectural structures, determining the volume of quarries, creating digital models of engineering and transport infrastructure: power lines, infrastructure of roads and railways, reconstruction of architectural monuments, research of channel processes, quantitative determination indicators in forest assessment.
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Gülci, S., M. Akgül, A. E. Akay, and İ. Taş. "USING READY-TO-USE DRONE IMAGES in FORESTRY ACTIVITIES: CASE STUDY OF ÇINARPINAR in KAHRAMANMARAS, TURKEY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W6 (November 13, 2017): 51–53. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w6-51-2017.
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This short paper aims to present pros and cons of current usage of ready-to-use drone images in the field of forestry also considering flight planning and photogrammetric processes. The capabilities of DJI Phantom 4, which is the low cost drone producing by Dji company, was evaluated through sample flights in Cinarpinar Forest Enterprise Chief in Kahramanmaras in Turkey. In addition, the photogrammetric workflow of obtained images and automated flight were presented with respect to capabilities of available software. The flight plans were created by using Pix4DCapture software with android based cell phone. The results indicated that high-resolution imagery obtained by drone can provide significant data for assessment of forest resources, forest roads, and stream channels.
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Перлін, C. І., та С. М. Лозова. "ДЕЯКІ НАПРЯМИ ВИКОРИСТАННЯ БЕЗПІЛОТНИХ ЛІТАЛЬНИХ АПАРАТІВ У СЛІДЧІЙ ТА ЕКСПЕРТНІЙ ПРАКТИЦІ". Науково-теоретичний журнал «Вісник Луганського державного університету внутрішніх справ імені Е.О. Дідоренка» 1, № 89 (2020): 269–79. http://dx.doi.org/10.33766/2524-0323.89.269-279.
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У статті розглянуто сучасний стан використання безпілотних літальних апаратів у криміналістичної діяльності. Проаналізовано нові засоби і методи, які можуть бути вико-ристані в криміналістичній діяльності, пов'язаній із фіксацією слідчих (розшукових) дій, а також у процесі проведення та оформлення результатів експертних досліджень на прикладі квадрокоптера DJI Mavic 2 Pro, який використовується в практичній діяльності Харківського науково-дослідного експертно-криміналістичного центру Міністерства внутрішніх справ України. Надано визначення поняття «безпілотний літальний апарат». Запропоновано кри-міналістичну класифікацію безпілотних літальних апаратів, що заснована на загальних підходах до систематизації техніко-криміналістичних засобів. Розглянуто основні технічні ха-рактеристики квадрокоптера DJI Mavic 2 Pro і його корисні функції. Сформульовано пропо-зиції щодо впровадження в слідчу та експертну практику безпілотних літальних апаратів.
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Dani, Andrea Tri Rian, and Fachrian Bimantoro Putra. "Time Series Modeling with Intervention Analysis to Evaluate of COVID-19 Impact on the Stock Markets in Indonesia and Global." Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi 13, no. 1 (2025): 113–26. https://doi.org/10.37905/euler.v13i1.31081.
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The COVID-19 pandemic began in December 2019 and led to significant disruptions in global financial markets. This study investigates the impact of the pandemic on stock indices in Indonesia (IHSG), the United States (DJI), and South Korea (KOSPI) using intervention analysis with a step function, which is designed to model permanent shifts in time series data following external shocks. Unlike traditional models such as ARIMA that assume data continuity, intervention models, particularly those using step functions, are highly suitable for assessing long-term economic disruptions and structural breaks caused by pandemics. This research uses daily stock price index data from January 10, 2019, to May 8, 2020, obtained from Yahoo Finance. The step function identifies the point of sustained change triggered by the initial COVID-19 outbreak and subsequent market reactions. The analysis shows that the pandemic caused significant and persistent declines across all observed indices. IHSG recorded its sharpest drop on March 26, 2020, while DJI and KOSPI experienced similar downward trends from March to April 2020. The forecasting performance of the intervention model was excellent, with Mean Absolute Percentage Error (MAPE) values of 0.72% for IHSG, 0.87% for DJI, and 0.82% for KOSPI, demonstrating high accuracy in modeling stock market behavior during crisis conditions.
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Rogers, Stephanie R., Ian Manning, and William Livingstone. "Comparing the Spatial Accuracy of Digital Surface Models from Four Unoccupied Aerial Systems: Photogrammetry Versus LiDAR." Remote Sensing 12, no. 17 (2020): 2806. http://dx.doi.org/10.3390/rs12172806.
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The technological growth and accessibility of Unoccupied Aerial Systems (UAS) have revolutionized the way geographic data are collected. Digital Surface Models (DSMs) are an integral component of geospatial analyses and are now easily produced at a high resolution from UAS images and photogrammetric software. Systematic testing is required to understand the strengths and weaknesses of DSMs produced from various UAS. Thus, in this study, we used photogrammetry to create DSMs using four UAS (DJI Inspire 1, DJI Phantom 4 Pro, DJI Mavic Pro, and DJI Matrice 210) to test the overall accuracy of DSM outputs across a mixed land cover study area. The accuracy and spatial variability of these DSMs were determined by comparing them to (1) 12 high-precision GPS targets (checkpoints) in the field, and (2) a DSM created from Light Detection and Ranging (LiDAR) (Velodyne VLP-16 Puck Lite) on a fifth UAS, a DJI Matrice 600 Pro. Data were collected on July 20, 2018 over a site with mixed land cover near Middleton, NS, Canada. The study site comprised an area of eight hectares (~20 acres) with land cover types including forest, vines, dirt road, bare soil, long grass, and mowed grass. The LiDAR point cloud was used to create a 0.10 m DSM which had an overall Root Mean Square Error (RMSE) accuracy of ±0.04 m compared to 12 checkpoints spread throughout the study area. UAS were flown three times each and DSMs were created with the use of Ground Control Points (GCPs), also at 0.10 m resolution. The overall RMSE values of UAS DSMs ranged from ±0.03 to ±0.06 m compared to 12 checkpoints. Next, DSMs of Difference (DoDs) compared UAS DSMs to the LiDAR DSM, with results ranging from ±1.97 m to ±2.09 m overall. Upon further investigation over respective land covers, high discrepancies occurred over vegetated terrain and in areas outside the extent of GCPs. This indicated LiDAR’s superiority in mapping complex vegetation surfaces and stressed the importance of a complete GCP network spanning the entirety of the study area. While UAS DSMs and LiDAR DSM were of comparable high quality when evaluated based on checkpoints, further examination of the DoDs exposed critical discrepancies across the study site, namely in vegetated areas. Each of the four test UAS performed consistently well, with P4P as the clear front runner in overall ranking.
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Sattarova, Vita Viktorovna, Vitaly Petrovich Fralenko, Mikhail Vyacheslavovich Khachumov, and Nikolai Sergeevich Abramov. "Gesture control of small unmanned aerial vehicle flight." Program Systems: Theory and Applications 15, no. 2 (2024): 21–36. http://dx.doi.org/10.25209/2079-3316-2024-15-2-21-36.
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Рассмотрена задача построения жестовых команд для управления малым беспилотным летательным аппаратом, таким как квадрокоптер. Получаемые видеокамерой команды идентифицируются классификатором на основе сверточной нейронной сети, а мультимодальный интерфейс управления, оснащенный интеллектуальным решателем, преобразует их в команды управления квадрокоптером. Нейронные сети из библиотеки моделей нейронных сетей Ultralytics позволяют выделять целевые объекты в кадре в режиме реального времени. Команды управления квадрокоптером поступают в специализированную программу на смартфоне, разработанную на базе симулятора полетов DJI SDK, которая посылает команды по радиоканалу дистанционного управления. Исследовано качество распознавания разработанных жестовых команд для квадрокоптеров DJI Phantom 3 standard edition. Представлено краткое руководство в виде сценариев работы оператора с беспилотными транспортными средствами. Раскрыты перспективы жестового управления несколькими транспортными средствами в экстремальных условиях с учётом сложностей безопасности совместного полета и взаимодействия летательных аппаратов в ограниченном пространстве.
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Forte, Janina Dos Santos. "Lang dji Pota-Iela: a Língua dos Pota." Revista Brasileira de Línguas Indígenas 2, no. 1 (2020): 29. http://dx.doi.org/10.18468/rbli.2019v2n1.p29-44.
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O presente trabalho trata de conhecimentos e práticas culturais indígenas do povo Karipuna que vive na Terra Indígena do Uaçá, no Estado do Amapá. O pota é uma prática cultural que envolve a cura e a causa de algumas doenças muitas vezes provocadas por seres sobrenaturais. O pota é reza, canto utilizado para proporcionar alívio ou até mesmo a cura dessas doenças, ele é realizado por pessoas especialistas, não necessariamente um pajé, podendo ser cantado, assobiado ou murmurado, muitas vezes, assoprado. Não se sabe ao certo a origem dessa prática, ela é muito utilizada por vários povos indígenas da região do Uaçá, por isso, o pota apresenta em sua constituição diferentes palavras de diferentes línguas da família Karib e Aruák além da língua Kheuol Karipuna. Neste trabalho, o meu objetivo é descrever as estruturas do pota identificando palavras das diferentes línguas utilizadas nas composições das rezas/canto utilizando meus conhecimentos empíricos e linguísticos. Além de descrever as estruturas do pota, registrei, através de áudio, 33 pota. Como pertencente ao povo Karipuna, sei da importância de resguardar esses saberes que fazem parte da nossa identidade.