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Authors: Rahmani, K.; Advisor: -; Participants: - (2017) - In this paper we present a bottom-up approach for the semantic segmentation of building facades. Facades have a predefined topology, contain specific objects such as doors and windows and follow architectural rules. Our goal is to create homogeneous segments for facade objects. To this end, we have created a pixelwise labeling method using a Structured Random Forest. According to the evaluation of results for two datasets with the classifier we have achieved the above goal producing a nearly noise-free labeling image and perform on par or even slightly better than the classifier-only stages of state-of-the-art approaches. This is due to the encoding of the local topological structure ...
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Authors: Alonso‑Dos‑Santos, M.; Advisor: -; Participants: Jiménez, M. Alguacil; Carvajal‑Trujillo, E. (2019) - -
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Authors: Kraak, M.J.; Dobraja, I.; Advisor: -; Participants: - (2017) - To ensure that users will receive the information they are interested in, it is important to provide a graphical data representation environment where exploration to gain insights are possible not on ly in the overall level but at sub-levels as well. A dashboard would be a solution the representation of spatio-temporal movement. It provides an overview and helps to unravel the complexity of data by spliting data in multiple data representation views. The adaptability of dashboard will help to reveal the information which cannot be seen in the overview.
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Authors: Elshafei, Hanaa A.; Advisor: -; Participants: Jahangir, Tamanna M. (2020) - Examination of the responses of the students to various plagiarism situations showed misunderstandings and misconceptions about many forms of plagiarism. Our study emphasizes that the problem in our society is that students or budding innovators are being pressured to get involved in academic dishonesty in order to perform better. To have a safe environment, the amount of academic misconduct, theft, and plagiarism must definitely be reduced to a minimum.
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Authors: Tanyas, H.; Advisor: -; Participants: van Westen, C. J.; Allstadt, K. E.; Jibson, R. W. (2018) - This study examines the FADs of 45 earthquake‐induced landslide inventories from around the world in the context of the proposed explanations. We show that each inventory probably involves some combination of the proposed explanations, though not all explanations contribute to each case. We propose an alternative explanation to understand the reason for the divergence from a power‐law. We suggest that the geometry of a landslide at the time of mapping reflects not just one single movement but many, including the propagation of numerous smaller landslides before and after the main failure. Because only the resulting combination of these landslides can be observed due to a lack of tempo...
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Authors: Rahman, S. M. Towhidur; Advisor: -; Participants: Kabir, Ahsanul (2019) - This study aims to identify the location and cluster pattern of manufacturing SMEs in Khulna City and the reasons behind such pattern since localisation of SMEs has significant impact on the economic development of cities and regions. A walking survey was conducted to identify the SME location pattern and a semi-structured personal interview was conducted to collect data from manufacturing SME entrepreneurs to find why such patterns exist. A cross section qualitative multiple case study design and pattern matching technique was applied to answer the
research questions. The finding of the study shows SME location choice was influenced by a combination of location specific, personal, a...
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Authors: Adeniran, Adetayo Olaniyi; Advisor: -; Participants: Akinsehinwa, Feyisola Olajire; Olorunfemi, Samuel Oluwaseyi (2022) - In the global world that is technologically driven, efficiency and productivity of businesses that have decided to embrace technology are achieved by e-commerce logistics (ECL). E-commerce logistics has received momentous attention in the developed countries but less attention in the developing countries. There have been some elements of uncertainty regarding the relevance of e-commerce logistics especially in the developing countries. To fill this gap, this study explored the factor influencing the acceptance and patronage of e-commerce logistics in Nigeria.
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Authors: Qiao, J.; Advisor: -; Participants: Zhu, Y.; Jia, X.; Huang, L.; Shao, M. (2018) - The results showed that the SWC variations at the five sampling sites tended to become weak as the depth increased. The mean SWC of all sampling sites exhibited a decreasing trend from south to north, with a significant difference (P < 0.01). Stepwise multiple regression analysis and state‐space modeling showed that the BD was an important factor that affected the variations in the SWC in the deep soil layer. The trend of vertical distribution of the SWS was similar to that of the SWC. The results of this study deepen our understanding of the water conditions in deep soil layers, as well as the evaluation of SWS on the Loess Plateau in China.
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Authors: Loran, T.M.; Advisor: -; Participants: - (2015) - This lecture presents: Faculty ITC - mission and mandate; Activities in Indonesia; Developments in cooperation; NGCBP : national geothermal capacity building program; GEOCAP : geothermal capacity building program; Trilateral collaboration.
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Authors: E. A. Ewetola,; Advisor: -; Participants: Fanifosi, G. E.; Ezekiel, A. A.; Adetona, A. A.; Oyewole, F. M.; Onatoye, N. M.; Idowu, I. T.; Akinniku, A. K. (2021) - A multistage sampling technique was used to select the respondents for this study, and descriptive and inferential statistics were adopted to determine the farmers’ perception of the awareness, adoption and use of vetiver grass technology in controlling erosion in the study area. A total of four hundred valid questionnaires were subjected to analysis and the result shows that most of the farmers (29%) were between the ages of 41 and 50 years and the average age of the respondents stood at 45.5 years, implying that the farmers were in their productive and active age. Most of the respondents were male and married with an average household size of 5.2. Large number (76%) of the responden...
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Authors: Duan, J.; Advisor: -; Participants: Ou, Y.; Hu, J.; Wang, Z.; Jin, S.; Xu, C. (2019) - Abstract—The approach of dynamical system (DS) is promising for modeling robot motion, and provides a flexible means of realizing robot learning and control. Accuracy, stability, and learning speed are the three main factors to be considered when learning robot movements from human demonstrations with DS. Some
approaches yield stable dynamical systems, but these may result in a poor reproduction performance, while some approaches yield good reproduction performance but are quite complex and timeconsuming. In this paper, we address the accuracy-stability-speed issues simultaneously. We present a learning method named the
fast and stable modeling for dynamical systems, which is based o...
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Authors: Yan, Donghui; Advisor: -; Participants: Wang, Yingjie; Wang, Jin; Wu, Guodong; Wang, Honggang (2019) - The last decades have seen a surge of interests in distributed computing thanks to advances in clustered computing and big data technology. Existing distributed algorithms typically assume all the data are already in one place, and divide the data and conquer on multiple machines. However, it is increasingly often that the data are located at a number of distributed sites, and one wishes to compute over all the data with low communication overhead. For spectral clustering, we propose a novel framework that enables its computation over such distributed data, with “minimal” communications while a major speedup in computation. The loss in accuracy is negligible compared to the non-distri...
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Authors: Fayed, Ahmed; Advisor: -; Participants: Soliman, Ahmed; Badr, Mohamed; Abdelmoniem, Mohamed; Drwesh, Hesham; Fakher, Mohamed; Soliman, Mahmoud Salem (2020) - In the current study, we find that there is statistically significant higher fasting insulin levels and higher levels Homa IR in patients with AKI than patients without AKI. These results signify that patients with AKI had insulin resistance. In our study, the Homa IR showed non-significant correlation with APACHE and SOFA score. While fasting insulin level shows significant correlation only with SOFA score after 96 h.
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Authors: Liu, J.; Xiang, C.; Advisor: -; Participants: - (2017) - Based on the irrigational water demand of cassava in an area in Guangxi Province, China, this study compared the supply capacity of hybrid wind/solar power water pumping and that of photovoltaic (PV) water pumping through experiments and calculation. Results show that, the hybrid pumping system supported by a 22kW solar panel and wind turbines of 44kW can fully satisfy cassava’s water demand for irrigation in a 26.66 ha field with surplus energy, so shutdown of wind turbines in the initial stages of cassava growth is suggested. The 22kW photovoltaic water pump alone is not sufficient for a 26.66 ha field, but a 1.5-time larger solar panel (33kW) with an enhanced pump should be able to...
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Authors: Lühr Daniel; Advisor: -; Participants: Adams Martin; Houshiar Hamidreza; Borrmann Dorit; Nüchter Andreas (2019) - The detection of markers or reflectors within point cloud data (PCD) is often used for 3-D scan registration, mapping, and 3-D environmental modeling. However, the reliable detection of such artifacts is diminished when PCD is sparse and corrupted by detection and spatial errors, for example, when the sensing environment is contaminated by high dust levels, such as in mines. In the radar literature, constant false alarm rate (CFAR) processors provide solutions for extracting features within noisy data; however, their direct application to sparse, 3-D PCD is limited due to the difficulty in defining a suitable noise window. Therefore, in this article, CFAR detectors are derived, which ...
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Authors: Amiri N.; Advisor: -; Participants: Heurich M.; Krzystek P.; Skidmore A.K. (2018.) - Our study is conducted using 586 ground measured single trees from 20 sample plots in the Bavarian Forest National Park, in Germany. Due to lack of reference data for some rare species, we focused on four classes of species. The results show an improvement between 4-10 pp for the tree species classification by using MLS data in comparison to a single wavelength based approach. A cross validated (15-fold) accuracy of 0.75 can be achieved when all feature sets from three different spectral channels are used. Our results cleary indicates that the use of MLS point clouds has great potential to improve detailed forest species mapping.
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Authors: Sheng, Hao; Advisor: -; Participants: Kong, Linghe; Liu, Xiao-Yang; Zeng, Peng; Chen, Guihai (2019) - In a vertical industry alliance, Internet of Things (IoT) deployed in different smart factories are similar. For example, most automobile manufacturers have the similar assembly lines and IoT surveillance systems. It is common to observe the industrial knowledge using deep learning and data mining methods based on the IoT data. However, some knowledge is not easy to be mined from only one factory’s data because the samples are still few. If multiple factories within an alliance can gather their data together, more knowledge could be mined. However, the key concern of these factories is the data security. Existing matrix based methods can guarantee the data security inside a factory bu...
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Authors: -; Advisor: -; Participants: - (2017) - Navigation locks are the keystones of any waterway network. Design of modern locks and upgrade of existing ones rely on detailed hydraulic investigations. Besides numerical and physical modeling, field measurement is a must for existing lock diagnosis; new lock commissioning; and data collection for models validation. Such investigations necessitate specific methods considering the required accuracy of the measurements collected with non-permanent equipment in a harsh environment, while attempting to minimize traffic disturbance.
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Authors: Groen, T.A.; van Langevelde, F.; Advisor: -; Participants: - (2016) - Rapid increase in woody cover in many savannas; What mechanism can cause rapid woody increase ?; Feedbacks between fire and patches of woody vegetation; Simple model; Effect of fire; Kruger National Park: burning plots; Clustering: measuring distances between trees.
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Authors: Groen, T.A.; van Langevelde, F.; Advisor: -; Participants: - (2016) - This lecture presents: Rapid increase in woody cover in many savannas; What mechanism can cause rapid woody increase ?; Feedbacks between fire and patches of woody vegetation; Simple model; Effect of fire; Feedbacks between fire and patches of woody vegetation; Kruger National Park: burning plots; Clustering: measuring distances between trees.
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