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  • Authors: Tumlisan, G.;  Advisor: -;  Participants: - (2018)

  • The authors of this article tested the usability of UAS RGB images for estimating crop heights and biomass. The assessment was done at eight growth stages to provide timely and reliable spatial information. Studying growth of crops throughout the growing season is a prerequisite for informed farming, decision-making and estimating yield production. Field-based data acquisition is able to give accurate results but is costly and time-consuming which can lead to under-sampling and thus compromise accuracy. Added to this, data acquisition in the field causes damage to the vegetation due to trampling. Therefore, non-destructive methods of measuring changes in crop height over time at high ...

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  • Authors: Ramadhani, Sheilla;  Advisor: -;  Participants: - (2016)

  • In recent decades, imagery-based methods have gained legitimacy in the domain of cadastral data creation. Contemporary experiences from Rwanda, Ethiopia and Lesotho, along with older activities from Thailand, already demonstrate the potential of conventional aerial imagery and high-resolution satellite imagery. More recently, unmanned aerial systems (UASs) have received increasing interest in the field of land administration. Already documented trials and demonstrations are evident for Albania, Namibia and Rwanda. The exploratory work continues; results from trials undertaken in Indonesia are presented here with a view to identifying the opportunities and challenges for embedding the ...

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  • Authors: Liu, Yuan;  Advisor: -;  Participants: Xiong, Ke; Ni, Qiang; Fan, Pingyi; Letaief, Khaled Ben (2019)

  • This paper investigates the UAV-enabled wireless powered cooperative mobile edge computing (MEC) system, where a UAV installed with an energy transmitter (ET) and an MEC server provides both energy and computing services to sensor devices (SDs). The active SDs desire to complete their computing tasks with the assistance of the UAV and their neighboring idle SDs that have no computing task. An optimization problem is formulated to minimize the total required energy of UAV by jointly optimizing the CPU frequencies, the offloading amount, the transmit power and the UAV’s trajectory. To tackle the non-convex problem, a successive convex approximation (SCA)- based algorithm is designed. Si...

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  • Authors: Galarreta, J. Fernandez;  Advisor: -;  Participants: - (2015)

  • Structural damage assessment is critical after disasters but remains a challenge. Many studies have explored the potential of remote sensing data, but limitations of vertical data persist. Oblique imagery has been identified as more useful, though the multi-angle imagery also adds a new dimension of complexity. This paper addresses damage assessment based on multi-perspective, overlapping, very high resolution oblique images obtained with unmanned aerial vehicles (UAVs). 3-D point-cloud assessment for the entire building is combined with detailed object-based image analysis (OBIA) of façades and roofs. This research focuses not on automatic damage assessment, but on creating a methodo...

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  • Authors: Lyu, Y.;  Advisor: -;  Participants: Vosselman, G.; Xia, G.; Yilmaz, A.; Yang, M. Y. (2018)

  • Semantic segmentation has been one of the leading research interests in computer vision recently. It serves as a perception foundation for many fields, such as robotics and autonomous driving. The fast development of semantic segmentation attributes enormously to the large scale datasets, especially for the deep learning related methods. There already exist several semantic segmentation datasets for comparison among semantic segmentation methods in complex urban scenes, such as the Cityscapes and CamVid datasets, where the side views of the objects are captured with a camera mounted on the driving car. There also exist semantic labeling datasets for the airborne images and the satelli...

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  • Authors: Mohapatra, Manisha;  Advisor: -;  Participants: Basak, Uday Chand (2022)

  • Crude Yield The crude yield of embelin in case of A. corniculatum was found to be in a range of 0.12–2.74% dry wt. (Table 4). The fruit part showed the highest yield of crude embelin followed by the root parts followed by stem bark and then finally by the leaf parts. When the solvent systems were considered, the methanol solvent system was prevailed to be eminent to that of chloroform solvent system. All data were analyzed statistically at 99.9% confidence interval of difference through one-way RM ANOVA along with Holm–Sidak's multiple comparisons test. In the multiple comparison analysis, the row factors, i.e., the plant parts extracted through different processes with various solve...

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  • Authors: Ackermann, H.;  Advisor: -;  Participants: - (2017)

  • Sparse subspace clustering (SSC) is an elegant approach for unsupervisedsegmentationifthedatapointsofeachclusterare located in linear subspaces. This model applies, for instance, in motion segmentation if some restrictions on the camera model hold. SSC requires that problems based on the l1-norm are solved to infer which points belong to the same subspace. If these unknown subspaces are well-separated this algorithm is guaranteed to succeed. The algorithm rests upon the assumption that points on the same subspace are well spread. The question what happens if this condition is violated has not yet been investigated. In this work, the effect of particular distributions on the same subsp...

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  • Authors: Pratomo, J.;  Advisor: -;  Participants: - (2016)

  • The Generic Slum Ontology (GSO) was developed to assist the detection of slums using Geographic Object-Based Image Analysis (GEOBIA). When applying the GSO locally, uncertainties exist in slum detection and transferability. Slums often have fuzzy boundaries and different ways to conceptualise. This study focuses on inherent uncertainties when analysing the transferability of the GSO across space, time and conceptualizations in the city of Jakarta, Indonesia. To measure the transferability of the GSO, we developed quantitative and qualitative indicators in multi-temporal Pleiades imagery (2012-2015) of two purposely-selected subsets. This framework allows assessing whether the develope...

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  • Authors: Pratomo, J.;  Advisor: -;  Participants: - (2016)

  • The Generic Slum Ontology (GSO) was developed to assist the detection of slums using Geographic Object-Based Image Analysis (GEOBIA). When applying the GSO locally, uncertainties exist in slum detection and transferability. Slums often have fuzzy boundaries and different ways to conceptualise. This study focuses on inherent uncertainties when analysing the transferability of the GSO across space, time and conceptualizations in the city of Jakarta, Indonesia. To measure the transferability of the GSO, we developed quantitative and qualitative indicators in multi-temporal Pleiades imagery (2012-2015) of two purposely-selected subsets. This framework allows assessing whether the develope...

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  • Authors: Raj, Rahul;  Advisor: -;  Participants: - (2016)

  • Gross primary production (GPP) can be separated from flux tower measurements of net ecosystem exchange (NEE) of CO2. This is used increasingly to validate processbased simulators and remote-sensing-derived estimates of simulated GPP at various time steps. Proper validation includes the uncertainty associated with this separation. In this study, uncertainty assessment was done in a Bayesian framework. It was applied to data from the Speulderbos forest site, The Netherlands. We estimated the uncertainty in GPP at half-hourly time steps, using a non-rectangular hyperbola (NRH) model for its separation from the flux tower measurements. The NRH model provides a robust empirical relationshi...

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  • Authors: Yun, Unil;  Advisor: -;  Participants: Baek, Yoonji; Yoon, Eunchul; Fournier-Viger, Philippe (2019)

  • Products in manufacturing plants are not always manufactured without defects. The probability that commodities are produced without defects is uncertain. Uncertainty based pattern mining can discover information about a set of goods by considering the possibilities. Besides, products have different importance due to diverse characteristics of goods. Therefore, we propose a list-based pattern mining method over uncertain data considering an importance condition in this paper. The proposed method extracts commodities with large values that take into account importance of merchandise and probability that can be as non-defective products. A list structure is efficient to be created and st...

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  • Authors: Hurtado, S. De Gregorio;  Advisor: -;  Participants: - (2015)

  • Cities significantly contribute to climate change and at the same time have governance capacity to act efficiently in the fields of mitigation and adaptation. Their capacity is being increasingly recognized by international institutions and has been pointed out as crucial in the multi-level government scenario of the European Union (EU). Addressing the challenges of climate change at urban level is a complex issue which requires a holistic approach to strategic urban planning. Understanding why and how cities start action can help to identify the barriers they face when addressing climate change, and how national governments, regions and international bodies can support local authorit...

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  • Authors: Gara, Tawanda W.;  Advisor: -;  Participants: - (2016)

  • Understanding factors affecting the distribution of the African elephant is important for its conservation in increasingly human‐dominated savannah landscapes. However, understanding how landscape fragmentation and vegetation productivity affect elephant habitat utilization remains poorly understood. In this study, we tested whether landscape fragmentation and vegetation productivity explain elephant habitat utilization in the Amboseli ecosystem in Kenya. We used GPS (Global Positioning System) telemetry data from five elephants to quantify elephant habitat utilization. Habitat utilization was determined by calculating the time elephants spent within a unit area. We then used generali...

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  • Authors: Oh, T.W.;  Advisor: -;  Participants: Vanapalli, S. (2018)

  • In geotechnical engineering practice, many projects such as stability analysis of slopes or trenches and pavement design involve soils in vadose zones at shallow depths, where soils are under unsaturated conditions. For these types of projects, undrained shear strength test results obtained under zero or low confining pressure can be effectively used to analyze the behaviors of unsaturated soils. Experimental procedures to determine the undrained shear strength for different soil suction values, however, is time consuming even under low confining pressure. For this reason, we attempted to develop a semi‐empirical model to predict the undrained shear strength of unsaturated soils at a ...

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  • Authors: Đặng Thị Minh Huệ;  Advisor: -;  Participants: - (2021)

  • Contents: Chapter 3 : Motion in one dimension; Chapter 4 : Acceleration; Motion along an inclined plane; Chapter 5: Inertia and Collision; Inertia; Chapter 6 :Energy; Chapter 7: Moving Reference Frame; Chapter 8: Interactions; Chapter 9: Force and Newton’s Law; Chapter 10: Work; Chapter 11: Motion in a Plane; Chapter 12: Circular motion and rotational motion ; Chapter 13: Dynamics of rotational motion; Chapter 14 : Gravitation; Periodic Motion, Wave and Thermodynamics

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  • Authors: Conaway, C.H.;  Advisor: -;  Participants: Walvoord, M.A.; Thomas, R.B.; Green, C.T.; Baker, R.J.; Thordsen, J.J.; Stonestrom, D.A.; Andraski, B.J. (2018)

  • Graphical analysis of the results indicates mixing of CO2 characteristic of the root zone (δ13C −18 to −19‰), deep soil gas of the capillary fringe (−13 to −15‰), and CO2 produced by microbial respiration of organic matter disposed in the LLRW trenches (−22 to −25‰). Distribution of CH4 overall reflects atmospheric sources and production in anaerobic microzones in the LLRW area and methanotrophy in the undisturbed shallow subsurface outside the LLRW area. Although xCH4 reflecting lateral transport from the LLRW area is decreasing with time in the deep profiles, deep unsaturated zone xCO2 has changed little in recent decades. The results imply that CH4 and δ13C‐CO2 may serve as good tr...