Дисертації з теми "Bid Optimizer"
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Bhandare, Ashray Sadashiv. "Bio-inspired Algorithms for Evolving the Architecture of Convolutional Neural Networks." University of Toledo / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1513273210921513.
Повний текст джерелаCorrell, David. "Optimized landscape plans for bio-oil production." [Ames, Iowa : Iowa State University], 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1464191.
Повний текст джерелаSchamberger, Stefan. "Shape optimized graph partitioning." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=983282455.
Повний текст джерелаMazzotti, Matilde <1986>. "Physiological studies to optimize algal biomass production in phytoremediation processes." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/6934/1/tesi_Matilde_Mazzotti.pdf.
Повний текст джерелаMazzotti, Matilde <1986>. "Physiological studies to optimize algal biomass production in phytoremediation processes." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/6934/.
Повний текст джерелаVanden, Berg Andrew M. "Optimization-simulation framework to optimize hospital bed allocation in academic medical centers." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120223.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 99-100).
Congestion, overcrowding, and increasing patient wait times are major challenges that many large, academic centers currently face. To address these challenges, hospitals must effectively utilize available beds through proper strategic bed allocation and robust operational day-to-day bed assignment policies. Since patient daily demand for beds is highly variable, it is frequent that the physical capacity allocated to a given clinical service is not sufficient to accommodate all of the patients who belong to that service. This situation could lead to extensive wait time of patients in various locations in the hospital (e.g., the emergency department), as well as clinically and operationally undesirable misplacements of patients in hospital floors/beds that are managed by other clinical services than the ones to which the patients belong. In this thesis, we develop an optimization-simulation framework to optimize the bed allocation at Mass General Hospital. Detailed, data-driven simulation suggests that the newly proposed bed allocation would lead to significant reduction in patient intra-day wait time in the emergency department and other hospital locations, as well as a major reduction in the misplacements of patients in the Medicine service, which is the largest service in the hospital. We employ a two-pronged approach. First, we developed a detailed simulation setting of the entire hospital that could be used to assess the effectiveness of day-to-day operational bed assignment policies given a specific bed allocation. However, the simulation does not allow tractable optimization that seeks to find the best bed allocation among all possible allocations. This motivates the development of a network-flow/network design inspired mixed integer program that approximates the operational performance of bed allocations and allows us to effectively search for approximately the best allocation. The mixed integer program can be solved via a scenario sampling approach to provide candidate bed allocations. These are then tested and evaluated via the simulation setting. These tools facilitate expert discussions on how to modify the existing bed allocation at MGH to improve the day-to-day performance of the bed assignment process.
by Andrew M. Vanden Berg.
S.M.
Thelen, Andrea. "Optimized surface extraction from holographic data." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=980418798.
Повний текст джерелаBär, Werner. "Optimized delivery of intensity modulated radiotherapy." [S.l.] : [s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=965610934.
Повний текст джерелаAbbruzzese, Vito. "Using bio-manipulation to optimise nutrient management within intensive farm systems." Thesis, Lancaster University, 2017. http://eprints.lancs.ac.uk/86607/.
Повний текст джерела陳從輝 and Chung-fai Chan. "MOS parameter extraction globally optimized with genetic algorithm." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B31212785.
Повний текст джерелаPeters, Mathias. "Scheduling workflows to optimize for execution time." Thesis, Uppsala universitet, Institutionen för informatik och media, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-354464.
Повний текст джерелаChirinos, Santander Lizett Rosario, and Llacta Julio Cesar Pecho. "Implementación de la metodología BIM en la construcción del proyecto multifamiliar DUPLO para optimizar el costo establecido." Master's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2019. http://hdl.handle.net/10757/626030.
Повний текст джерелаThe world of construction is changing, always looking for continuous improvement and optimization of processes. Due to this, there is a need to use new methodologies applied in other countries where construction processes are being industrialized. Within these methodologies we have: • Information and Communication Technologies, where the correct way to manage a construction project stands out. • Lean Project Delivery System, introduced by Ballard (2000). • Virtual Design and Construction (VDC). • BIM Execution Plan (BEP). The BEP being the BIM implementation plan for a project. We chose to use the BIM methodology in the DUPLO Multifamily project located in the district of Breña, it has 28 floors and has 05 basements. The term for execution granted under the contract was 12 months. The purpose of applying the BIM methodology is to be able to control the cost of the project according to the allocated budget. With the BIM application we intend to avoid: • Downtime due to consultations with the designers during construction. • Term extensions due to undefined or unresolved RFIs. • The cost of extending the term (higher overhead costs, cost of renting equipment, machines and tools, labor). The application of the BIM methodology to the Duplo project will serve to identify all the interferences of the various specialties before the execution in the field. Conducting collaborative meetings and / or ICE SESSIONS led by a BIM Manager can identify and resolve incompatibilities, each participant knows the role it plays. At the end of the project, the results will be evaluated with the application of the BIM methodology, in our case the result was favorable. Keyword: BIM Methodology reduces incompatibilities in a project; This optimizes and controls the cost established in the budget.
Trabajo de investigación
Hartunians, Jordan. "High temperature H2 bio-production in Thermococcales models : setting up bases optimized high pressure solutions." Thesis, Brest, 2020. http://www.theses.fr/2020BRES0033.
Повний текст джерелаH2, a promising energetic vector, can be synthesized by Thermococcales. High pressure (HP) could influence the associated metabolism, but was not practically considered. After having screened isolates for assets in substrate degradation and H2 yields, T. barophilus MPT, growing optimally at 40 MPa, was chosen as a model and its metabolism was characterized in an applied context. Methods for HP culture were optimized for H2 studies. Our HP bioreactor for continuous culture underwent major improvements. This 400 mL container, able to maintain corrosive fluids at hydrostatic (up to 120 MPa) and gas (up to 40 MPa) pressures, at up to 150 °C, served to assess H2 production of our strain at high gas pressure. We also created a compressible device for discontinuous leak-free gas-phase incubations, allowing to measure T. barophilus HP H2 production (hydrostatic). HP adaptations of T. barophilus were observed thanks to previous deletions of key genes (mbh, mbs, co-mbh, shI, shII).We refined the roles of each concerned enzyme by assessing growths, end-products (H2, H2S, acetate), and gene expressions of the mutants, at 0.1 and 40 MPa. Additionally, we enhanced H2 tolerance in our model by adaptive laboratory evolution. “Evol”, the ensuing strain acclimatized to H2-saturating conditions for 76 generations, grew in 10% H2, contrarily to the parent strain. To understand such adaptation, we compared both strains’ end-products (H2, H2S, acetate), transcriptomes, and genomes.119 mutations were detected and the H2 metabolism was changed in the new variant. This work underlines the interest of Thermococcales’ piezophily for H2 bio-production and permits to propose optimization strategies
Hildebrand, Matthias. "Optimized network access in heterogeneous wireless networks." Kassel : Kassel Univ. Press, 2005. http://deposit.d-nb.de/cgi-bin/dokserv?idn=977677540.
Повний текст джерелаPoon, Tung-chung Jensen, and 潘冬松. "Laparoscopic colorectal resection: the impacton clinical outcomes & strategies to further optimize its results." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45205711.
Повний текст джерелаFobel, Oliver. "Auditory brainstem and middle latency responses with optimized stimuli experiments and models /." [S.l.] : [s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=967608074.
Повний текст джерелаSerfontein, Dawid Eduard. "Deep burn strategy for the optimized incineration of reactor waste plutonium in pebble bed high temperature gas–cooled reactors / Serfontein D.E." Thesis, North-West University, 2013. http://hdl.handle.net/10394/8069.
Повний текст джерелаThesis (PhD (Nuclear Engineering))--North-West University, Potchefstroom Campus, 2012.
Brockmeier, Ulf. "New strategies to optimize the secretion capacity for heterologous proteins in Bacillus subtilis." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=980650771.
Повний текст джерелаSedaghat, Maman Reza. "Fault emulation reconfigurable hardware based fault simulation using logic emulation systems with optimized mapping /." [S.l. : s.n.], 1999. http://deposit.ddb.de/cgi-bin/dokserv?idn=95853893X.
Повний текст джерелаHuapaya, Vásquez José Alberto. "Integración de entorno big data en la gestión financiera de un sistema bancario para optimizar productos, servicios internos y toma de decisiones." Bachelor's thesis, Universidad Nacional Mayor de San Marcos, 2021. https://hdl.handle.net/20.500.12672/17040.
Повний текст джерелаZhang, Jingdong, and 張敬東. "Development of optimized deconvoluted coincidence doppler broadening spectroscopy and deep level transient spectroscopies with applicationsto various semiconductor materials." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B38279010.
Повний текст джерелаStroka, Jörg. "Determination of aflatoxins in food and feed with simple and optimised methods." [S.l. : s.n.], 2000. http://deposit.ddb.de/cgi-bin/dokserv?idn=963266624.
Повний текст джерелаHokam, Essam Mohamed. "Computer based expert system to optimize the water supply for modern irrigation systems in selected regions in Egypt." [S.l. : s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=964676680.
Повний текст джерелаUrbanovsky, Joshua C. "Computational Methods to Optimize High-Consequence Variants of the Vehicle Routing Problem for Relief Networks in Humanitarian Logistics." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1248473/.
Повний текст джерелаRivas, Montenegro Alfredo, and Lévano Jose María Paredes. "Solución tecnológica para optimizar el proceso de identificación y atención de accidentes de tránsito en Lima Metropolitana utilizando Smart Traffic." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2020. http://hdl.handle.net/10757/653688.
Повний текст джерелаCurrently, Peru has the highest mortality rate in the region regarding traffic accidents, reaching more than 50,000 vehicle accidents in Lima and more than 500 deaths per year, according to Policía Nacional del Perú. This is mainly due to the recklessness of drivers and / or pedestrians, but also to the delay in attention due to the current traffic conditions in the city, which increases the rate of fatalities. Local entities in charge are developing projects to improve traffic, however, it has been identified that current solutions do not have sufficient characteristics to cover the problems presented. The main objective of this project is to implement a technological solution based on Smart Traffic to optimize the identification and attention of traffic accidents in Lima Metropolitana, using road infrastructure, technology and analytical solutions. This solution consists of data capture through various devices, data processing and analysis through an analytics engine, the execution of actions in real time for the detection and attention of traffic accidents, and the presentation of results. and reports, all supported by the existing road infrastructure and by technologies such as Internet of Things, Big Data & Analytics and Cloud Computing. Also, the proposed model has been validated based on test scenarios with existing metrics, and a continuity plan has been drawn up to ensure the viability and high availability of the proposal.
Tesis
Rukskul, Pataravit. "Analysis of different respiratory and blood gas parameters to optimize brain tissue oxygen tension (PtiO2) in patients with acute subarachnoid hemorrhage." [S.l.] : [s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=970018304.
Повний текст джерелаDebellemanière, Eden. "Optimiser le sommeil lent profond par des méthodes innovantes et non-invasives : mise au point technique, applicabilité et conséquences chez le sujet sain en restriction chronique de sommeil." Thesis, Sorbonne Paris Cité, 2018. https://wo.app.u-paris.fr/cgi-bin/WebObjects/TheseWeb.woa/wa/show?t=2369&f=17185.
Повний текст джерелаNo abstract
Kannan, Ramakrishnan. "A Nash Bargaining Based Bid Optimizer for Sponsored Search Auctions." Thesis, 2008. https://etd.iisc.ac.in/handle/2005/4609.
Повний текст джерелаΡήγα, Γεωργία. "Βελτιστοποίηση ερωτημάτων με πολλαπλά κριτήρια σε βάσεις δεδομένων". Thesis, 2006. http://nemertes.lis.upatras.gr/jspui/handle/10889/531.
Повний текст джерелаThe optimization of queries in distributed database systems is known to be subject to delicate trade-offs. For example, the Mariposa database system allows users to specify a desired delay-cost tradeoff (that is to supply a decreasing function u(d) specifying how much the user is willing to pay in order to receive the query results within time d) Mariposa divides a query graph into orizontal strides analyzes each stride, and uses a greedy heuristic to find the best plan for all strides.
Liu, Hsin-Liang, and 劉信良. "Discussion Possibilities to Optimize Water as Bio-Battery Source." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/rfxmy6.
Повний текст джерела國立屏東科技大學
車輛工程系所
106
In this study, we used the “self-designed copper-zinc electrode” photoreactive Bio-Battery device, the bioelectrical electricity came form chlorella, Spirogyra. and Grammitidaceae. We contributed different artificial environments as the research objects and changed the light wavelength and illuminance for the light source. The electrode type was added different concentrations of TiO2 nanoparticles, domestic sewage, and other experimental methods, the measurement of various research projects such as voltage, current. The bioelectric data had calculated the power of the bio-battery. The pros and cons were assessed of different projects for bio-batteries and it was possibile be used. The experimental results show that chlorella performance is better than that of spirogyra and the intensity and a wavelength of light have a direct impact on current. To improve the performance of bio-battery, the electrode material and electrode area can be improved. The best performing bio-battery was chlorella exposed to a solar irradiance of 87500 Lux, the average maximum voltage is 0.813 V, the current is 0.898 mA and power is 0.73 mW. The experimental items in the data are required accuracy, through precise control of the experiment in a variety of reasons, to ensure that the experimental standard deviation of less than 5%. We are confirmed that two groups of bio-batteries can drive a single red LED lamp bead in tandem. However, the volume power density still differs by 107 times from that of the solar panel sold by the market due to the volume power density calculation. Although the bio-battery feasibility, there is still considerable improvement in performance.
TU, MENG-JIA, and 凃孟佳. "Kalman filter optimized by bio-inspired computation for underwater glider localization." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/cejrvm.
Повний текст джерела國立高雄應用科技大學
電子工程系
106
Ocean data sampling is an important technique for observing weather and managing fishery resources in Taiwan. Underwater glider is a kind of unmanned water vehicle that can be endowed with long-term and dangerous underwater detection tasks, to save labor cost, to intelligently gather and to effectively record marine data. In order to cruise in sea for a long time and complete the task of collecting marine information, the navigation system and path planning in sea are significant issues because the oceanic environment has quite a lot of variability, which makes the difficulty of positioning and path planning to affect the task completion. If there is no qualified positioning system, it will be not able to complete the mission requirements, even the underwater glider could be lost or damaged. Thus, a good positioning system of the underwater unmanned glider is a key to slove the problems of the path planning, underwater working time and energy consumption of the glider. Therefore, to improve the traditional positioning method, in this paper, a Kalman filter with Genetic Algorithm is proposed to estimate the glider position and mitigate the positioning error. The random search of genetic algorithm is helpful to discover the optimal solution of Kalman filter to enable the proposed system quickly adapting to various environmental variability problems. The research results show that the average error of the proposed approach with Kalman filter is reduced by 27%. When the genetic algorithm is introduced to work with Kalman filter, the average error is reduced by 33%. The contribution of this work has presented a milestone and is helpful to develop a position technology of underwater vehicles.
Hounsell, Mathew Francis. "Using Big Data from TOTOR ETS to optimise public transport operations." Thesis, 2020. http://hdl.handle.net/10453/144073.
Повний текст джерелаThis thesis contributes to development of the trans-disciplinary field of Transport Analytics that aims to better target customer preferences and needs while optimising public transport operations. It demonstrates how use of empirical data acquired from Electronic Ticketing Systems (ETS) such as the Opal card system in Sydney, can provide more accurate and unexpected insights into demand patterns for public transport services. Systems that record every Tap-On and Tap-Off (TOTOR) pair, such as Opal, effectively provide a census of passenger responses to the services delivered, potentially increasing certainty and consensus on key aspects of operations such as required capacity, appropriate frequency and interchanging. Previously, the lack of detailed empirical data led public transport service providers to rely on top-down system-level models of macro-behaviour. The availability of high resolution TOTOR datasets provides an opportunity to develop bottom-up human-level models of micro-behaviour that can then be used to construct more accurate macroscopic system models. As will be shown, this difference in approach can lead to significantly different conclusions about patronage and appropriate service levels. The thesis approaches this new data and analytical opportunities in two ways. Firstly, by acknowledging and addressing concerns about privacy through development of a method to construct privacy-safe datasets; and secondly through new analytical methods to take advantage of the TOTOR data. The travel histories of individual customers contained within TOTOR datasets provide detailed biographical information; and so, to protect the privacy of individuals, access to these datasets has been highly restricted. In response, this thesis describes the methodological barrier created by the need for privacy protection, proposing a method to overcome this. The thesis provides several example case studies undertaken using analytics developed for activity datasets to improve public transport operations. These leverage inherent aspects of the data that were not available in previous data forms. The methods proposed leverages the ability to transform biographical-datasets into privacy-safe activity-datasets through deidentification, disassociation, aggregation and elimination. The method proposes three stages of transformation to create three levels of activity datasets with increasing privacy that can be distributed and shared appropriately between service providers and coordination agencies, to collaborators (such as researchers), and then to the general public. At all times, the research has been carried out within a customer-centric (customer service) approach to public transport service delivery. In the case studies, improved analytics has been shown to assist service partners in analysing and interpreting passenger behaviour in transport operations.
Yang, Bin [Verfasser]. "Modified particle swarm optimizers and their application to robust design and structural optimization / Bin Yang." 2009. http://d-nb.info/99460453X/34.
Повний текст джерелаLin, Bo-Wei, and 林柏維. "Improvement of Deep Learning Optimizer Based on Metaheuristic Using Batch Update." Thesis, 2019. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5394029%22.&searchmode=basic.
Повний текст джерела國立中興大學
資訊科學與工程學系所
107
Deep learning is able to find the hidden rule of given problem, so it is often applied to several research field such as classification, prediction, image recognition, etc. To fullfill this strong function of deep learning, it adjusts weight and bias continuously to train a model to simluate a function similar to the rule of original problem. Because the effect and efficiency of adjusting these parameter depends on the machanism of optimizer, the selection of optimizer determine the strategy of the simulated function. One of the optimizers used commonly is backpropagation. In addition to the original backpropagation, there is also a hybrid method by combining backpropagation and metaheuristic algorithm. Metaheuristic is a series of search algorithm to find the optimal solution in solution space. Becasue of the feature of metaheuristic, it is better than backpropagation in global search. Comparing metaheuristic to backpropagation in deep learning, metaheuristic is able to find a best solution in global search, and backpropagation perform well in local search. By combining these two methds, the hybrid metaheuristic-backpropagation is better than only metaheuristic and only backpropagation in global search and local search. However, the training time of metaheuristic-backpropagation optimizer is too long. This paper reduces training time by batch size update in regression problem. Finally, batch update get better result than original in complicated problem. Batch update enhance a little accuracy, and training time is reduced to 87.74% time cost.
Javidsharifi, M., T. Niknam, J. Aghaei, and Geev Mokryani. "Multi-objective short-term scheduling of a renewable-based microgrid in the presence of tidal resources and storage devices." 2017. http://hdl.handle.net/10454/15243.
Повний текст джерелаDaily increasing use of tidal power generation proves its outstanding features as a renewable source. Due to environmental concerns, tidal current energy which has no greenhouse emission attracted researchers’ attention in the last decade. Additionally, the significant potential of tidal technologies to economically benefit the utility in long-term periods is substantial. Tidal energy can be highly forecasted based on short-time given data and hence it will be a reliable renewable resource which can be fitted into power systems. In this paper, investigations of effects of a practical stream tidal turbine in Lake Saroma in the eastern area of Hokkaido, Japan, allocated in a real microgrid (MG), is considered in order to solve an environmental/economic bi-objective optimization problem. For this purpose, an intelligent evolutionary multi-objective modified bird mating optimizer (MMOBMO) algorithm is proposed. Additionally, a detailed economic model of storage devices is considered in the problem. Results show the efficiency of the suggested algorithm in satisfying economic/environmental objectives. The effectiveness of the proposed approach is validated by making comparison with original BMO and PSO on a practical MG.
Iran National Science Foundation; Royal Academy of Engineering Distinguished Visiting Fellowship under Grant DVF1617\6\45
Wadia, Anosh Porus. "Developing Biomimetic Design Principles for the Highly Optimized and Robust Design of Products and Their Components." Thesis, 2011. http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9832.
Повний текст джерелаChen, Chao-Pin, and 陳肇斌. "Optical Design and Optimized Rapid Prototyping Process for Automotive Thick-wall Lens." Thesis, 2019. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5693017%22.&searchmode=basic.
Повний текст джерела國立中興大學
精密工程學系所
107
This paper is mainly used to improve the manufacturing process of thick-wall lens in the automotive industry. The thick-wall lens is optically designed under the limitation of the size of the headlight and comply with the vehicle regulations. However, the current forming time of thick-wall lens more than 600 seconds, resulting in lower production efficiency. Therefore, this paper is aimed to the structural design (geometry/curvature), optical simulation (light pattern/light intensity), heat source calculation of mold, plastic flow analysis of the thick-wall len (mold temperature uniformity control/cooling rate/deformation/cooling time), structure design of the mold rapid turbulent flow cooling module, design and manufacture of the mold, verification of the test on the plastic injection machine and the inspection of the finished product characteristics. According to the optical design, mold cooling design, mold flow analysis and mold production verification, it can effectively reduce the injection molding process time of 35% of thick-wall lens without affecting the optical properties in the finished product. The productivity and quality of the thick-wall lens can be improved by reducing defects or dimensional tolerance caused by uneven mold temperature distribution. It can reduce production costs effectively, increase production value, and meet the optical requirements of the automotive industry.
Peng, Huai-Chien, and 彭淮謙. "Multiobjective Optimized Hybrid Neural Networks for Hexapod Robot Gait Generation and Navigation." Thesis, 2019. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5441088%22.&searchmode=basic.
Повний текст джерела國立中興大學
電機工程學系所
107
This thesis proposes an evolutionary control approach to realize the navigation of a hexapod robot in unknown environments. The control approach consists of three controllers. The first one is a sixteen-node fully connected recurrent neural network (FCRNN). The FCRNN is responsible for generating the basic walking gait of the robot. The FCNNN sends six signals to control the six hip joints of the robot with the two control objectives of fast walking speed and straightness in forward walking. The second is a fuzzy neural network (FNN) controller that controls the robot to execute obstacle boundary-following (OBF) behavior with the objectives of fast walking speed and maintaining a proper distance to an obstacle. The inputs of the FNN are the distance sensors on the robot, where the sensors are used to measure the distance between the robot and obstacles. The FNN sends two control outputs to adjust the hip joint swing amplitudes on the left and right sides of the robot. The last one is also an FNN controller that controls the robot to execute the target searching (TS) behavior. The FNN controller also adjusts the hip joint swing amplitudes according to the error between the orientation of the robot and the target and the change of errors. All of the above three controllers are optimized using the non-dominated sorting gene algorithms (NSGAII) and their own designed objective functions in simulations. In the navigation application, this thesis uses Stargazer to localize the position and orientation of the robot according to the labels on the ceiling to achieve navigation in unknown environments. In addition to simulations, experiments on a real robot are performed to verify the effectiveness and feasibility of the proposed method.
Liu, En Fu, and 劉恩福. "Optimized study of Compton camera with prompt gamma imaging for proton range verification." Thesis, 2019. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107CGU05770010%22.&searchmode=basic.
Повний текст джерелаMuwawa, Jean Nestor Dahj. "Data mining and predictive analytics application on cellular networks to monitor and optimize quality of service and customer experience." Diss., 2018. http://hdl.handle.net/10500/25875.
Повний текст джерелаCellular networks have evolved and are still evolving, from traditional GSM (Global System for Mobile Communication) Circuit switched which only supported voice services and extremely low data rate, to LTE all Packet networks accommodating high speed data used for various service applications such as video streaming, video conferencing, heavy torrent download; and for say in a near future the roll-out of the Fifth generation (5G) cellular networks, intended to support complex technologies such as IoT (Internet of Things), High Definition video streaming and projected to cater massive amount of data. With high demand on network services and easy access to mobile phones, billions of transactions are performed by subscribers. The transactions appear in the form of SMSs, Handovers, voice calls, web browsing activities, video and audio streaming, heavy downloads and uploads. Nevertheless, the stormy growth in data traffic and the high requirements of new services introduce bigger challenges to Mobile Network Operators (NMOs) in analysing the big data traffic flowing in the network. Therefore, Quality of Service (QoS) and Quality of Experience (QoE) turn in to a challenge. Inefficiency in mining, analysing data and applying predictive intelligence on network traffic can produce high rate of unhappy customers or subscribers, loss on revenue and negative services’ perspective. Researchers and Service Providers are investing in Data mining, Machine Learning and AI (Artificial Intelligence) methods to manage services and experience. This research study focuses on the application models of Data Mining and Machine Learning covering network traffic, in the objective to arm Mobile Network Operators with full view of performance branches (Services, Device, Subscribers). The purpose is to optimize and minimize the time to detect service and subscriber patterns behaviour. Different data mining techniques and predictive algorithms will be applied on cellular network datasets to uncover different data usage patterns using specific Key Performance Indicators (KPIs) and Key Quality Indicators (KQI). The following tools will be used to develop the concept: R-Studio for Machine Learning, Apache Spark, SparkSQL for data processing and clicData for Visualization.
Electrical and Mining Engineering
M. Tech (Electrical Engineering)
Abd-Rabbo, Diala. "Beyond hairballs: depicting complexity of a kinase-phosphatase network in the budding yeast." Thèse, 2017. http://hdl.handle.net/1866/19318.
Повний текст джерела