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Journal articles on the topic 'Capteur « low cost »'

Author: Grafiati

Published: 25 May 2024

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1

Chatzitofis, Anargyros, Dimitrios Zarpalas, Petros Daras, and Stefanos Kollias. "DeMoCap: Low-Cost Marker-Based Motion Capture." International Journal of Computer Vision 129, no. 12 (October 15, 2021): 3338–66. http://dx.doi.org/10.1007/s11263-021-01526-z.

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Hansen, Clint, Jean-Louis Honeine, David Gibas, Nasser Rezzoug, Philippe Gorce, and Brice Isableu. "Low-cost motion capture systems in practice." Computer Methods in Biomechanics and Biomedical Engineering 15, sup1 (September 2012): 253–55. http://dx.doi.org/10.1080/10255842.2012.713661.

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3

Tollefson, Jeff. "Low-cost carbon-capture project sparks interest." Nature 469, no. 7330 (January 2011): 276–77. http://dx.doi.org/10.1038/469276a.

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4

Matzen, Kevin, Michael F. Cohen, Bryce Evans, Johannes Kopf, and Richard Szeliski. "Low-cost 360 stereo photography and video capture." ACM Transactions on Graphics 36, no. 4 (July 20, 2017): 1–12. http://dx.doi.org/10.1145/3072959.3073645.

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Putro, Muhamad Dwisnanto, Jane Litouw, and Vecky Canisius Poekoel. "Low-resolution facial emotion recognition on low-cost devices." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 2 (June 1, 2024): 2201. http://dx.doi.org/10.11591/ijai.v13.i2.pp2201-2211.

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The low-resolution input image is a crucial challenge for applying facial emotion recognition in real-world scenarios. The critical problem is that valuable object features are relatively lost in the extraction process due to their small size. On the other hand, this vision system is required by a machine to run smoothly on low-cost devices. Facial emotion recognition using a lightweight feature extractor is proposed in this study to effectively capture crucial facial components in a low-resolution image. To compromise the running speed, this work offers an efficient feature convolution to discriminate specific facial features. In addition, the system is embedded with an attentive module to capture important features and correlate them. Our model performance is evaluated on low-resolution public datasets achieving the accuracy of 97.34\%, 81.10\%, and 80.12\% on KDEF, RFDB, and FER-plus, respectively. The practical application demands that the deep learning model can operate fast on inexpensive devices. Consequently, the model achieved a speed of 290 FPS on a CPU device.

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de Carvalho, Luciene Santos, Etemistocles Silva, José Carlos Andrade, José Alberto Silva, Maritza Urbina, Paula Fabiane Nascimento, Fabiola Carvalho, and Juan Alberto Ruiz. "Low-cost mesoporous adsorbents amines-impregnated for CO2 capture." Adsorption 21, no. 8 (November 2015): 597–609. http://dx.doi.org/10.1007/s10450-015-9710-8.

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Grant, Tim, David Morgan, Andrea Poe, Jason Valenstein, Richard Lawrence, and James Simpson. "Which Reservoir for Low Cost Capture, Transportation, and Storage?" Energy Procedia 63 (2014): 2663–82. http://dx.doi.org/10.1016/j.egypro.2014.11.289.

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8

Barcelo-Ordinas, Jose M., Pau Ferrer-Cid, Jorge Garcia-Vidal, Anna Ripoll, and Mar Viana. "Distributed Multi-Scale Calibration of Low-Cost Ozone Sensors in Wireless Sensor Networks." Sensors 19, no. 11 (May 31, 2019): 2503. http://dx.doi.org/10.3390/s19112503.

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New advances in sensor technologies and communications in wireless sensor networks have favored the introduction of low-cost sensors for monitoring air quality applications. In this article, we present the results of the European project H2020 CAPTOR, where three testbeds with sensors were deployed to capture tropospheric ozone concentrations. One of the biggest challenges was the calibration of the sensors, as the manufacturer provides them without calibrating. Throughout the paper, we show how short-term calibration using multiple linear regression produces good calibrated data, but instead produces biases in the calculated long-term concentrations. To mitigate the bias, we propose a linear correction based on Kriging estimation of the mean and standard deviation of the long-term ozone concentrations, thus correcting the bias presented by the sensors.

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Farella, Elisabetta, Luca Benini, Bruno Riccò, and Andrea Acquaviva. "MOCA: A Low-Power, Low-Cost Motion Capture System Based on Integrated Accelerometers." Advances in Multimedia 2007 (2007): 1–11. http://dx.doi.org/10.1155/2007/82638.

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Human-computer interaction (HCI) and virtual reality applications pose the challenge of enabling real-time interfaces for natural interaction. Gesture recognition based on body-mounted accelerometers has been proposed as a viable solution to translate patterns of movements that are associated with user commands, thus substituting point-and-click methods or other cumbersome input devices. On the other hand, cost and power constraints make the implementation of a natural and efficient interface suitable for consumer applications a critical task. Even though several gesture recognition solutions exist, their use in HCI context has been poorly characterized. For this reason, in this paper, we consider a low-cost/low-power wearable motion tracking system based on integrated accelerometers called motion capture with accelerometers (MOCA) that we evaluated for navigation in virtual spaces. Recognition is based on a geometric algorithm that enables efficient and robust detection of rotational movements. Our objective is to demonstrate that such a low-cost and a low-power implementation is suitable for HCI applications. To this purpose, we characterized the system from both a quantitative point of view and a qualitative point of view. First, we performed static and dynamic assessment of movement recognition accuracy. Second, we evaluated the effectiveness of user experience using a 3D game application as a test bed.

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Oladoja, N. A., A. L. Ahmad, O. A. Adesina, and R. O. A. Adelagun. "Low-cost biogenic waste for phosphate capture from aqueous system." Chemical Engineering Journal 209 (October 2012): 170–79. http://dx.doi.org/10.1016/j.cej.2012.07.125.

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11

Egerton and Wan. "Low‐cost image‐capture system for a scanning electron microscope." Journal of Microscopy 191, no. 2 (August 1998): 113–15. http://dx.doi.org/10.1046/j.1365-2818.1998.00395.x.

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12

ASSABUMRUNGRAT, Rawin, Ranulfo BEZERRA, Iuri BARROS, Shotaro KOJIMA, Yoshito OKADA, Masashi KONYO, Kazunori OHNO, and Satoshi TADOKORO. "Low-cost Robot Motion Capture System Based on ArUco Markers." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2023 (2023): 2P1—G24. http://dx.doi.org/10.1299/jsmermd.2023.2p1-g24.

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13

Wilson, Scott, Johan Potgieter, and Khalid Mahmood Arif. "Robot-Assisted Floor Surface Profiling Using Low-Cost Sensors." Remote Sensing 11, no. 22 (November 10, 2019): 2626. http://dx.doi.org/10.3390/rs11222626.

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Low cost and accurate 3D surface profiling can help in numerous industry applications including inspection tasks, cleaning, minimizing bumps in navigation of non-uniform terrain, aid navigation, and road/pavement condition analysis. However, most of the available systems are costly or inaccessible for widespread use. This research presents investigation into the capability of cheap and accessible sensors to capture the floor surface profile information. A differential drive robotic platform has been developed to perform testing and conduct the research. 2D localization methods are extrapolated into 3D for the floor capturing process. Two different types of sensors, a 2D laser scanner and an RGB-D camera, are used for comparison of the floor profile capture ability. The robotic system is able to successfully capture the floor surface profile of a number of different type floors such as carpet, asphalt, and a coated floor. A key finding is that the surface itself is a significant factor on the measured profile, i.e. dirt or differing materials can cause false height measurements. Overall the methodology has proved a successful real time solution for creating a point cloud of the floor surface.

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Vasconcelos, Gustavo José Querino, Gabriel Schubert Ruiz Costa, Thiago Vallin Spina, and Helio Pedrini. "Low-Cost Robot for Agricultural Image Data Acquisition." Agriculture 13, no. 2 (February 10, 2023): 413. http://dx.doi.org/10.3390/agriculture13020413.

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More sustainable technologies in agriculture are important not only for increasing crop yields, but also for reducing the use of agrochemicals and improving energy efficiency. Recent advances rely on computer vision systems that differentiate between crops, weeds, and soil. However, manual dataset capture and annotation is labor-intensive, expensive, and time-consuming. Agricultural robots provide many benefits in effectively performing repetitive tasks faster and more accurately than humans, and despite the many advantages of using robots in agriculture, the solutions are still often expensive. In this work, we designed and built a low-cost autonomous robot (DARob) in order to facilitate image acquisition in agricultural fields. The total cost to build the robot was estimated to be around $850. A low-cost robot to capture datasets in agriculture offers advantages such as affordability, efficiency, accuracy, security, and access to remote areas. Furthermore, we created a new dataset for the segmentation of plants and weeds in bean crops. In total, 228 RGB images with a resolution of 704 × 480 pixels were annotated containing 75.10% soil area, 17.30% crop area and 7.58% weed area. The benchmark results were provided by training the dataset using four different deep learning segmentation models.

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Salicone, Simona, Simone Corbellini, Harsha Vardhana Jetti, and Sina Ronaghi. "Low-cost real-time motion capturing system using inertial measurement units." ACTA IMEKO 11, no. 3 (September 28, 2022): 1. http://dx.doi.org/10.21014/acta_imeko.v11i3.1290.

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<p>Human movement modeling - also referred to as motion-capture - is a rapidly expanding field of interest for medical rehabilitation, sports training, and entertainment. Motion capture devices are used to provide a virtual 3-dimensional reconstruction of human physical activities - employing either optical or inertial sensors. Utilizing inertial measurement units and digital signal processing techniques offers a better alternative in terms of portability and immunity to visual perturbations when compared to conventional optical solutions.<br />In this paper, a cable-free, low-cost motion-capture solution based on inertial measurement units is proposed. The goal of the proposed solution is to apply motion capture to the fields that, because of cost problems, did not take enough benefit of such technology. An example, for instance, could be a gym. According to this goal, the necessary requirement for the proposed system is to be low-cost. Therefore, all the considerations and all the solutions provided in this work have been done according to this main requirement.</p>

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16

Seneviratne, H. Revata, Cedric Charpenteau, Anthe George, Marcos Millan, Denis R. Dugwell, and Rafael Kandiyoti. "Ranking Low Cost Sorbents for Mercury Capture from Simulated Flue Gases." Energy & Fuels 21, no. 6 (November 2007): 3249–58. http://dx.doi.org/10.1021/ef070028x.

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17

Gaspar, João, Renato Ferreira, Pedro Sebastião, and Nuno Souto. "Capture of UAVs Through GPS Spoofing Using Low-Cost SDR Platforms." Wireless Personal Communications 115, no. 4 (March 12, 2020): 2729–54. http://dx.doi.org/10.1007/s11277-020-07211-7.

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18

Ma, Chunyan, Shokat Sarmad, Jyri-Pekka Mikkola, and Xiaoyan Ji. "Development of Low-Cost Deep Eutectic Solvents for CO 2 Capture." Energy Procedia 142 (December 2017): 3320–25. http://dx.doi.org/10.1016/j.egypro.2017.12.464.

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19

Liu, Libin, Hongbo Chen, Elenica Shiko, Xianfeng Fan, Yefeng Zhou, Gang Zhang, Xiao Luo, and Xiayi (Eric) Hu. "Low-cost DETA impregnation of acid-activated sepiolite for CO2 capture." Chemical Engineering Journal 353 (December 2018): 940–48. http://dx.doi.org/10.1016/j.cej.2018.07.086.

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20

Rashidi, Nor A., Suzana Yusup, and Azry Borhan. "Development of Novel Low-Cost Activated Carbon for Carbon Dioxide Capture." International Journal of Chemical Engineering and Applications 5, no. 2 (April 2014): 90–94. http://dx.doi.org/10.7763/ijcea.2014.v5.357.

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21

Pepper, Jon-Paul, Ryan P. Jackson, Roger L. Crumley, and Brian J. F. Wong. "Design of a Low-Cost, USB-Compatible, Otoscope Image-Capture System." Laryngoscope 116, no. 12 (December 2006): 2224–26. http://dx.doi.org/10.1097/01.mlg.0000244152.27018.e2.

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22

Zhu, Wenjuan, Anup M. Vader, Abhinav Chadda, Ming C. Leu, Xiaoqing F. Liu, and Jonathan B. Vance. "Wii remote–based low-cost motion capture for automated assembly simulation." Virtual Reality 17, no. 2 (December 23, 2011): 125–36. http://dx.doi.org/10.1007/s10055-011-0204-z.

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23

Plaza, M. G., C. Pevida, B. Arias, J. Fermoso, M. D. Casal, C. F. Martín, F. Rubiera, and J. J. Pis. "Development of low-cost biomass-based adsorbents for postcombustion CO2 capture." Fuel 88, no. 12 (December 2009): 2442–47. http://dx.doi.org/10.1016/j.fuel.2009.02.025.

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24

Parshetti, Ganesh K., Shamik Chowdhury, and Rajasekhar Balasubramanian. "Biomass derived low-cost microporous adsorbents for efficient CO 2 capture." Fuel 148 (May 2015): 246–54. http://dx.doi.org/10.1016/j.fuel.2015.01.032.

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25

Hills, Thomas P., Mark Sceats, Daniel Rennie, and Paul Fennell. "LEILAC: Low Cost CO2 Capture for the Cement and Lime Industries." Energy Procedia 114 (July 2017): 6166–70. http://dx.doi.org/10.1016/j.egypro.2017.03.1753.

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26

Lively, Ryan P., William J. Koros, and J. R. Johnson. "Enhanced cryogenic CO2 capture using dynamically operated low-cost fiber beds." Chemical Engineering Science 71 (March 2012): 97–103. http://dx.doi.org/10.1016/j.ces.2011.11.042.

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27

Lin, Chi, Guowei Wu, Tie Qiu, and Jing Deng. "A low-cost node capture attack algorithm for wireless sensor networks." International Journal of Communication Systems 29, no. 7 (December 17, 2015): 1251–68. http://dx.doi.org/10.1002/dac.3097.

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28

Wang, Ke, Hongyan Shang, Lin Li, Xinlong Yan, Zifeng Yan, Chenguang Liu, and Qingfang Zha. "Efficient CO2 capture on low-cost silica gel modified by polyethyleneimine." Journal of Natural Gas Chemistry 21, no. 3 (May 2012): 319–23. http://dx.doi.org/10.1016/s1003-9953(11)60371-x.

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29

McGlade, James, Luke Wallace, Karin Reinke, and Simon Jones. "The Potential of Low-Cost 3D Imaging Technologies for Forestry Applications: Setting a Research Agenda for Low-Cost Remote Sensing Inventory Tasks." Forests 13, no. 2 (January 28, 2022): 204. http://dx.doi.org/10.3390/f13020204.

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Limitations with benchmark light detection and ranging (LiDAR) technologies in forestry have prompted the exploration of handheld or wearable low-cost 3D sensors (<2000 USD). These sensors are now being integrated into consumer devices, such as the Apple iPad Pro 2020. This study was aimed at determining future research recommendations to promote the adoption of terrestrial low-cost technologies within forest measurement tasks. We reviewed the current literature surrounding the application of low-cost 3D remote sensing (RS) technologies. We also surveyed forestry professionals to determine what inventory metrics were considered important and/or difficult to capture using conventional methods. The current research focus regarding inventory metrics captured by low-cost sensors aligns with the metrics identified as important by survey respondents. Based on the literature review and survey, a suite of research directions are proposed to democratise the access to and development of low-cost 3D for forestry: (1) the development of methods for integrating standalone colour and depth (RGB-D) sensors into handheld or wearable devices; (2) the development of a sensor-agnostic method for determining the optimal capture procedures with low-cost RS technologies in forestry settings; (3) the development of simultaneous localisation and mapping (SLAM) algorithms designed for forestry environments; and (4) the exploration of plot-scale forestry captures that utilise low-cost devices at both terrestrial and airborne scales.

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Durán-Jiménez, Gabriela, Emily T. Kostas, Lee A. Stevens, Will Meredith, Maria Erans, Virginia Hernández-Montoya, Adam Buttress, Clement N. Uguna, and Eleanor Binner. "Green and simple approach for low-cost bioproducts preparation and CO2 capture." Chemosphere 279 (September 2021): 130512. http://dx.doi.org/10.1016/j.chemosphere.2021.130512.

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31

Bernard, Franciele L., Daniela M. Rodrigues, Barbara B. Polesso, Augusto J. Donato, Marcus Seferin, Vitaly V. Chaban, Felipe Dalla Vecchia, and Sandra Einloft. "New cellulose based ionic compounds as low-cost sorbents for CO2 capture." Fuel Processing Technology 149 (August 2016): 131–38. http://dx.doi.org/10.1016/j.fuproc.2016.04.014.

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32

Chen, Chao, Dong-Wha Park, and Wha-Seung Ahn. "Surface modification of a low cost bentonite for post-combustion CO2 capture." Applied Surface Science 283 (October 2013): 699–704. http://dx.doi.org/10.1016/j.apsusc.2013.07.005.

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Li, Guofeng, Chuanyu Yan, Bobo Cao, Jingyun Jiang, Wancheng Zhao, Jinfang Wang, and Tiancheng Mu. "Highly efficient I2 capture by simple and low-cost deep eutectic solvents." Green Chemistry 18, no. 8 (2016): 2522–27. http://dx.doi.org/10.1039/c5gc02691a.

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Wang, Tao, Jie Huang, Xin He, Jiayang Wu, Mengxiang Fang, and Jun Cheng. "CO2 Fertilization System Integrated with a Low-cost Direct Air Capture Technology." Energy Procedia 63 (2014): 6842–51. http://dx.doi.org/10.1016/j.egypro.2014.11.718.

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35

Ho, Minh T., Guy W. Allinson, and Dianne E. Wiley. "Comparison of MEA capture cost for low CO2 emissions sources in Australia." International Journal of Greenhouse Gas Control 5, no. 1 (January 2011): 49–60. http://dx.doi.org/10.1016/j.ijggc.2010.06.004.

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36

McGroarty, M., S. Giblin, D. Meldrum, and F. Wetterling. "ACCURACY OF A LOW-COST NOVEL COMPUTER-VISION DYNAMIC MOVEMENT ASSESSMENT: POTENTIAL LIMITATIONS AND FUTURE DIRECTIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-5/W8 (April 7, 2016): 1–5. http://dx.doi.org/10.5194/isprs-archives-xl-5-w8-1-2016.

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The aim of the study was to perform a preliminary validation of a low cost markerless motion capture system (CAPTURE) against an industry gold standard (Vicon). Measurements of knee valgus and flexion during the performance of a countermovement jump (CMJ) between CAPTURE and Vicon were compared. After correction algorithms were applied to the raw CAPTURE data acceptable levels of accuracy and precision were achieved. The knee flexion angle measured for three trials using Capture deviated by −3.8° ± 3° (left) and 1.7° ± 2.8° (right) compared to Vicon. The findings suggest that low-cost markerless motion capture has potential to provide an objective method for assessing lower limb jump and landing mechanics in an applied sports setting. Furthermore, the outcome of the study warrants the need for future research to examine more fully the potential implications of the use of low-cost markerless motion capture in the evaluation of dynamic movement for injury prevention.

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Budde, Matthias, Simon Leiner, Marcel Köpke, Johannes Riesterer, Till Riedel, and Michael Beigl. "FeinPhone: Low-cost Smartphone Camera-based 2D Particulate Matter Sensor." Sensors 19, no. 3 (February 12, 2019): 749. http://dx.doi.org/10.3390/s19030749.

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Precise, location-specific fine dust measurement is central for the assessment of urban air quality. Classic measurement approaches require dedicated hardware, of which professional equipment is still prohibitively expensive (>10k$) for dense measurements, and inexpensive sensors do not meet accuracy demands. As a step towards filling this gap, we propose FeinPhone, a phone-based fine dust measurement system that uses camera and flashlight functions that are readily available on today’s off-the-shelf smart phones. We introduce a cost-effective passive hardware add-on together with a novel counting approach based on light-scattering particle sensors. Since our approach features a 2D sensor (the camera) instead of a single photodiode, we can employ it to capture the scatter traces from individual particles rather than just retaining a light intensity sum signal as in simple photometers. This is a more direct way of assessing the particle count, it is robust against side effects, e.g., from camera image compression, and enables gaining information on the size spectrum of the particles. Our proof-of-concept evaluation comparing several FeinPhone sensors with data from a high-quality APS/SMPS (Aerodynamic Particle Sizer/Scanning Mobility Particle Sizer) reference device at the World Calibration Center for Aerosol Physics shows that the collected data shows excellent correlation with the inhalable coarse fraction of fine dust particles (r > 0.9) and can successfully capture its levels under realistic conditions.

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Ibn Dahou Idrissi, Amine, Aziz Abouabdillah, Mohamed Chikhaoui, and Rachid Bouabid. "Low-cost IoT-based monitoring system for precision agriculture." E3S Web of Conferences 492 (2024): 01003. http://dx.doi.org/10.1051/e3sconf/202449201003.

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The increasing impact of climate change on agriculture necessitates advanced monitoring and management of environmental conditions to ensure sustainable agricultural productivity. This paper introduces a cost-effective, Internet of Things (IoT)-based smart monitoring system designed to provide real-time insights into soil moisture levels and weather conditions across various segments of a single agricultural plot. The system comprises autonomous wireless sensor nodes, a comprehensive weather station, and a centralized base station that collectively capture, process, and relay environmental data to a user-friendly mobile application. Our empirical results demonstrate that this system not only facilitates efficient environmental data monitoring and analysis but also empowers farmers with actionable intelligence for timely decision-making. The proposed model showcases a promising avenue for enhancing agricultural resilience and productivity through technology-driven precision farming.

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Dietz, Henry, and Paul Eberhart. "An Ultra-Low-Cost Large-Format Wireless IoT Camera." Electronic Imaging 2021, no. 7 (January 18, 2021): 70–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.7.iss-070.

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This paper documents the design, construction, and experimental evaluation of an ultra-low-cost large-format digital camera. Used lenses that cover formats up to 4x5 can be surprisingly inexpensive, but large-format image sensors are not. By combining 3D printing with cheap components developed for use in IoT (Internet of Things) devices, especially the sub-$10 ESP32-CAM, a digital scanning large-format camera capable of over 2GP resolution can be constructed at very low cost. Despite the large image area, Lafodis160 is literally a wireless IoT device, fully remote controllable via Bluetooth and WiFi. This camera was originally intended to serve as a testbed for novel ways to improve capture quality for scenes that are not completely static during the scan interval, and a brief overview is given of methods employing unusual scan orderings that will be evaluated using it.

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Pechlivani, Eleftheria Maria, Athanasios Papadimitriou, Sotirios Pemas, Nikolaos Giakoumoglou, and Dimitrios Tzovaras. "Low-Cost Hyperspectral Imaging Device for Portable Remote Sensing." Instruments 7, no. 4 (October 19, 2023): 32. http://dx.doi.org/10.3390/instruments7040032.

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Hyperspectral imaging has revolutionized various scientific fields by enabling a detailed analysis of objects and materials based on their spectral signatures. However, the high cost and complexity of commercial hyperspectral camera systems limit their accessibility to researchers and professionals. In this paper, a do-it-yourself (DIY) hyperspectral camera device that offers a cost-effective and user-friendly alternative to hyperspectral imaging is presented. The proposed device leverages off-the-shelf components, commercially available hardware parts, open-source software, and novel calibration techniques to capture and process hyperspectral imaging data. The design considerations, hardware components, and construction process are discussed, providing a comprehensive guide for building the device. Furthermore, the performance of the DIY hyperspectral camera is investigated through experimental evaluations with a multi-color 3D-printed box in order to validate its sensitivities to red, green, blue, orange and white colors.

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Berstad, David, Geir Skaugen, Simon Roussanaly, Rahul Anantharaman, Petter Nekså, Kristin Jordal, Stian Trædal, and Truls Gundersen. "CO2 Capture from IGCC by Low-Temperature Synthesis Gas Separation." Energies 15, no. 2 (January 12, 2022): 515. http://dx.doi.org/10.3390/en15020515.

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Capture conditions for CO2 vary substantially between industrial point sources. Depending on CO2 fraction and pressure level, different capture technologies will be required for cost- and energy-efficient decarbonisation. For decarbonisation of shifted synthesis gas from coal gasification, several studies have identified low-temperature CO2 capture by condensation and phase separation as an energy- and cost-efficient option. In the present work, a process design is proposed for low-temperature CO2 capture from an Integrated Gasification Combined Cycle (IGCC) power plant. Steady-state simulations were carried out and the performance of the overall process, as well as major process components, were investigated. For the baseline capture unit layout, delivering high-pressure CO2 at 150 bar, the net specific power requirement was estimated to 273 kJe/kgCO2, and an 85% CO2 capture ratio was obtained. The impact of 12 different process parameters was studied in a sensitivity analysis, the results of which show that compressor and expander efficiencies, as well as synthesis gas separation temperature, have the highest impact on power requirements. Modifying the process to producing cold liquid CO2 for ship transport resulted in 16% increase in net power requirements and is well suited for capturing CO2 for ship transport.

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42

Danish, Mohd, Vijay Parthasarthy, and Mohammed K. Al Mesfer. "CO2 Capture by Low-Cost Date Pits-Based Activated Carbon and Silica Gel." Materials 14, no. 14 (July 12, 2021): 3885. http://dx.doi.org/10.3390/ma14143885.

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The rising levels of CO2 in the atmosphere are causing escalating average global temperatures. The capture of CO2 by adsorption has been carried out using silica gel type III and prepared activated carbon. The date pits-based activated carbon was synthesized using a tubular furnace by physical activation. The temperature of the sample was increased at 10 °C/min and the biomass was carbonized under N2 flow maintained continuously for 2 h at 600 °C. The activation was performed with the CO2 flow maintained constantly for 2 h at 600 °C. The temperature, feed flow and adsorbate volume were the parameters considered for CO2 adsorption. The success of CO2 capture was analyzed by CO2 uptake, efficiency based on column capacity, utilization factors and the mass transfer zone. The massively steep profiles of the breakthrough response of the AC demonstrate the satisfactory exploitation of CO2 uptake under the conditions of the breakthrough. The SG contributed to a maximal CO2 uptake of 8.61 mg/g at 298 K and Co = 5% with F = 5 lpm. The enhanced CO2 uptake of 73.1 mg/g was achieved with a column efficiency of 0.94 for the activated carbon produced from date pits at 298 K. The AC demonstrated an improved performance with a decreased mass transfer zone of 1.20 cm with an enhanced utilization factor f = 0.97 at 298 K. This finding suggests that a date pits-based activated carbon is suitable for CO2 separation by adsorption from the feed mixture.

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Xia, J., C. Z. Zhou, Y. G. Li, X. Chen, and Z. H. Peng. "Development of a low-cost magnetic microfluidic chip for circulating tumour cell capture." IET Nanobiotechnology 5, no. 4 (December 1, 2011): 114–20. http://dx.doi.org/10.1049/iet-nbt.2011.0024.

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Charpenteau, Cedric, Revata Seneviratne, Anthe George, Marcos Millan, Denis R. Dugwell, and Rafael Kandiyoti. "Screening of Low Cost Sorbents for Arsenic and Mercury Capture in Gasification Systems." Energy & Fuels 21, no. 5 (September 2007): 2746–50. http://dx.doi.org/10.1021/ef070026c.

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Lee, Yeonkyung, and Hoon Yoo. "Low-cost 3D motion capture system using passive optical markers and monocular vision." Optik 130 (February 2017): 1397–407. http://dx.doi.org/10.1016/j.ijleo.2016.11.174.

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Reinhardt, Ronny. "A Systematic Review on Low-cost Innovation Value Creation and Value Capture Capabilities." Academy of Management Proceedings 2015, no. 1 (January 2015): 13191. http://dx.doi.org/10.5465/ambpp.2015.13191abstract.

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Li, Kaimin, Jianguo Jiang, Sicong Tian, Feng Yan, and Xuejing Chen. "Polyethyleneimine–nano silica composites: a low-cost and promising adsorbent for CO2 capture." Journal of Materials Chemistry A 3, no. 5 (2015): 2166–75. http://dx.doi.org/10.1039/c4ta04275a.

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Song, Chunfeng, Yasuki Kansha, Masanori Ishizuka, Qian Fu, and Atsushi Tsutsumi. "Design of a Low-cost CO2 Capture Process Based on Heat Integration Technology." Energy Procedia 61 (2014): 365–68. http://dx.doi.org/10.1016/j.egypro.2014.11.1126.

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Romeo, Luis M., J. Carlos Abanades, Jesús M. Escosa, Jara Paño, Antonio Giménez, Andrés Sánchez-Biezma, and Juan C. Ballesteros. "Oxyfuel carbonation/calcination cycle for low cost CO2 capture in existing power plants." Energy Conversion and Management 49, no. 10 (October 2008): 2809–14. http://dx.doi.org/10.1016/j.enconman.2008.03.022.

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Jafri, Syed Riaz un Nabi, Tariq Rehman, Asif Ahmed, Muhammad Shahzad Siddiqi, Asad Hayat, and Tehniyat Saeed. "Slum Terrain Mapping Using Low-Cost 2D Laser Scanners." Elektronika ir Elektrotechnika 29, no. 2 (April 24, 2023): 19–27. http://dx.doi.org/10.5755/j02.eie.33884.

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Abstract:

This paper presents a motorbike-based custom made scanning and mapping system for surveying slums and highly populated urban regions. These vicinities are difficult to reach through standard vehicular scanning systems and require a compact solution as presented in this paper. The system consists of two small range 2D Hokuyo laser scanners mounted in right angle orientations to capture the environment. In addition, the global positioning system, the wheel encoder, the inertial measurement unit, and cameras have been integrated with the system to estimate the pose and visual information. Sensorial information has been used to localise the system using Kalman Filtering. Later, by applying the standard transformations, the 3D point cloud map of the surveyed vicinity has been developed. The scanning system has been tested at various locations including densely populated and slum regions. Precise and detailed 3D mapping results have been obtained, which are further extensively analysed to understand the built structure and the road furniture. The working of the system is found to be quite economical and faster than that of local urban surveying systems.

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