Relevant bibliographies by topics / Graph Gateway

Academic literature on the topic 'Graph Gateway'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Graph Gateway"

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Maruyama, Koji, Daniel Burgarth, Akihito Ishizaki, Takeji Takui, and K. Birgitta Whaley. "Application of indirect Hamiltonian tomography to complex systems with short coherence times." Quantum Information and Computation 12, no. 9&10 (September 2012): 763–74. http://dx.doi.org/10.26421/qic12.9-10-3.

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The identification of parameters in the Hamiltonian that describes complex many-body quantum systems is generally a very hard task. Recent attention has focused on such problems of Hamiltonian tomography for networks constructed with two-level systems. For open quantum systems, the fact that injected signals are likely to decay before they accumulate sufficient information for parameter estimation poses additional challenges. In this paper, we consider use of the gateway approach to Hamiltonian tomography \cite{Burgarth2009,Burgarth2009a} to complex quantum systems with a limited set of state preparation and measurement probes. We classify graph properties of networks for which the Hamiltonian may be estimated under equivalent conditions on state preparation and measurement. We then examine the extent to which the gateway approach may be applied to estimation of Hamiltonian parameters for network graphs with non-trivial topologies mimicking biomolecular systems.
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Papadopoulos, Stavros, Konstantinos Moustakas, Anastasios Drosou, and Dimitrios Tzovaras. "Border gateway protocol graph: detecting and visualising internet routing anomalies." IET Information Security 10, no. 3 (May 1, 2016): 125–33. http://dx.doi.org/10.1049/iet-ifs.2014.0525.

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Gonzalez, Hector, Jiawei Han, Hong Cheng, Xiaolei Li, Diego Klabjan, and Tianyi Wu. "Modeling Massive RFID Data Sets: A Gateway-Based Movement Graph Approach." IEEE Transactions on Knowledge and Data Engineering 22, no. 1 (January 2010): 90–104. http://dx.doi.org/10.1109/tkde.2009.61.

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Liu, Gang, Zhaobin Liu, Victor S. Sheng, Liang Zhang, and Yuanfeng Yang. "A Novel Energy-Efficient, Static Scenario-Oriented Routing Method of Wireless Sensor Network Based on Edge Computing." Wireless Communications and Mobile Computing 2022 (January 15, 2022): 1–25. http://dx.doi.org/10.1155/2022/3450361.

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In wireless sensor network (WSN), the energy of sensor nodes is limited. Designing efficient routing method for reducing energy consumption and extending the WSN’s lifetime is important. This paper proposes a novel energy-efficient, static scenario-oriented routing method of WSN based on edge computing named the NEER, in which WSN is divided into several areas according to the coverage of gateway (or base station), and each of the areas is regarded as an edge area network (EAN). Each edge area network is abstracted into a weighted undirected graph model combined with the residual energy of the sensor nodes. The base station (or a gateway) calculates the optimal energy consumption path for all sensor nodes within its coverage, and the nodes then perform data transmission through their suggested optimal paths. The proposed method is verified by the simulations, and the results show that the proposed method may consume about 37% less energy compared with the conventional WSN routing protocol and can also effectively extend the lifetime of WSN.
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Wei, Ling, Hong-Xuan Luo, Shao-Lei Zhai, Bo-Yang Huang, and Ye Chen. "GCN based virtual resource allocation scheme for power internet of things." Journal of Computational Methods in Sciences and Engineering 22, no. 2 (March 28, 2022): 635–48. http://dx.doi.org/10.3233/jcm-215864.

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With the construction of smart grid, increasing number of smart devices will be connected to the power communication network. Therefore, how to allocate the resources of access devices has become an urgent problem to be solved in smart grid. However, due to the diversity and time-variability of access devices at the edge of the power grid, such dynamic changes may lead to untimely and unbalanced resource allocation of the power grid and additional system overhead, resulting in reducing the efficiency of power grid operation, unbalanced workload and other problems. In this paper, a grid resource allocation scheme based on Gauss optimization is proposed. The grid virtualization application resources are managed through three main steps: decomposition, combination and exchange, so as to realize the reasonable allocation of grid resources. Considering the time-variability of the grid topology and the diversity of the access device, the computational complexity of the traditional data analysis model is too high to be suitable for time-sensitive power network structure. This paper proposes an MPNN framework combined with the Graph Convolutional Network (GCN) to enhance the calculation efficiency and realize the rapid allocation of network resources. Since the smart gateway connected by the grid terminal has certain computation ability, the cloud computing used in distribution model in deep learning to find the optimal solution can be distributed in the cloud and edge computing gateway. In this way, The entire electricity network can efficiently manage and orchestrate virtual services to maximize the utility of grid virtual resources. Furthermore, this paper also adopt the GG-NN (Gated Graph Neural Network) which is based on the MPNN framework in the training. Finally, we carry out simulation for the Gauss optimization scheme and the MPNN-based scheme to verify that the convolutional diagram neural network is suitable for virtual resource allocating in multi-access power Internet-of –Things (IoTs).
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Tehseen, Aqsa, Nazir Ahmad Zafar, Tariq Ali, Fatima Jameel, and Eman H. Alkhammash. "Formal Modeling of IoT and Drone-Based Forest Fire Detection and Counteraction System." Electronics 11, no. 1 (December 31, 2021): 128. http://dx.doi.org/10.3390/electronics11010128.

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Forests are an enduring component of the natural world and perform a vital role in protecting the environment. Forests are valuable resources to control global warming and provide oxygen for the survival of human life, including wood for households. Forest fires have recently emerged as a major threat to biological processes and the ecosystem. Unfortunately, almost every year, fire damages millions of hectares of forest land due to late and inefficient detection of fire. However, it is important to identify the forest fire at the initial level before it spreads to vast areas and destroys natural resources. In this paper, a formal model of the Internet of Things (IoT) and drone-based forest fire detection and counteraction system is presented. The proposed system comprises network maintenance. Sensor deployment is on trees, the ground, and animals in the form of subnets to transmit sensed data to the control room. All subnets are connected to the control room through gateway nodes. Alarms are being used to alert human beings and animals to save their lives, which will help to initially protect them from fire. The embedded sensors collect the information and transfer it to the gateways. Drones are being used for real-time visualization of fire-affected areas and to perform actions to control fires because they play a vital role in disasters. Graph theory is used to construct an efficient model and to show the connectivity of the network. To identify failures and develop recovery procedures, the algorithm is designed through the graph-based model. The model is developed by the Vienna Development Method-Specification Language (VDM-SL), and the correctness of the model is ensured using various VDM-SL toolbox facilities.
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Kanayama, Gen, Harrison G. Pope, and James I. Hudson. "Associations of anabolic-androgenic steroid use with other behavioral disorders: an analysis using directed acyclic graphs." Psychological Medicine 48, no. 15 (March 1, 2018): 2601–8. http://dx.doi.org/10.1017/s0033291718000508.

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AbstractBackgroundAnabolic-androgenic steroid (AAS) use is known to be associated with other psychiatric disorders, such as body image disorders, conduct disorder/sociopathy, and other substance use disorders (SUD) – but the causal pathways among these conditions remain poorly delineated.MethodsWe created a directed acyclic graph to diagram hypothesized relationships among AAS use and dependence, body image disorder (BID), conduct disorder/sociopathy, and other SUD. Using proportional hazards models, we then assessed potentially causal relationships among these variables, using a dataset of 233 male weightlifters, of whom 102 had used AAS.ResultsBID and conduct disorder/sociopathy both strongly contributed to the development of AAS use, but did not appear to contribute further to the progression from AAS use to AAS dependence. Other SUD beginning prior to first AAS use – whether broadly defined or restricted only to opioids – failed to show an effect on AAS use or progression to AAS dependence. Conversely, AAS use contributed significantly to the subsequent first-time development of opioid use disorders but did not significantly increase the risk for first-time development of non-opioid SUD, taken as a whole.ConclusionsOur analysis suggests that AAS use and other SUD are mutually attributable to underlying conduct disorder/sociopathy. SUD do not appear to represent a ‘gateway’ to subsequent AAS use. AAS use may represent a gateway to subsequent opioid use disorder, but probably not to other SUD.
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Alharbi, Nouf, Lewis Mackenzie, and Dimitrios Pezaros. "Enhancing Graph Routing Algorithm of Industrial Wireless Sensor Networks Using the Covariance-Matrix Adaptation Evolution Strategy." Sensors 22, no. 19 (October 1, 2022): 7462. http://dx.doi.org/10.3390/s22197462.

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The emergence of the Industrial Internet of Things (IIoT) has accelerated the adoption of Industrial Wireless Sensor Networks (IWSNs) for numerous applications. Effective communication in such applications requires reduced end-to-end transmission time, balanced energy consumption and increased communication reliability. Graph routing, the main routing method in IWSNs, has a significant impact on achieving effective communication in terms of satisfying these requirements. Graph routing algorithms involve applying the first-path available approach and using path redundancy to transmit data packets from a source sensor node to the gateway. However, this approach can affect end-to-end transmission time by creating conflicts among transmissions involving a common sensor node and promoting imbalanced energy consumption due to centralised management. The characteristics and requirements of these networks encounter further complications due to the need to find the best path on the basis of the requirements of IWSNs to overcome these challenges rather than using the available first-path. Such a requirement affects the network performance and prolongs the network lifetime. To address this problem, we adopt a Covariance-Matrix Adaptation Evolution Strategy (CMA-ES) to create and select the graph paths. Firstly, this article proposes three best single-objective graph routing paths according to the IWSN requirements that this research focused on. The sensor nodes select best paths based on three objective functions of CMA-ES: the best Path based on Distance (PODis), the best Path based on residual Energy (POEng) and the best Path based on End-to-End transmission time (POE2E). Secondly, to enhance energy consumption balance and achieve a balance among IWSN requirements, we adapt the CMA-ES to select the best path with multiple-objectives, otherwise known as the Best Path of Graph Routing with a CMA-ES (BPGR-ES). A simulation using MATALB with different configurations and parameters is applied to evaluate the enhanced graph routing algorithms. Furthermore, the performance of PODis, POEng, POE2E and BPGR-ES is compared with existing state-of-the-art graph routing algorithms. The simulation results reveal that the BPGR-ES algorithm achieved 87.53% more balanced energy consumption among sensor nodes in the network compared to other algorithms, and the delivery of data packets of BPGR-ES reached 99.86%, indicating more reliable communication.
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Davis, Alexandra. "A-292 Graph Theoretical Analysis of Brain Functional Connectivity in Initiation and Inhibition Tasks." Archives of Clinical Neuropsychology 37, no. 6 (August 17, 2022): 1443–46. http://dx.doi.org/10.1093/arclin/acac060.292.

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Abstract Objective: Using graph theoretical analysis, the current study explores network properties of highly associated brain areas during initiation and inhibition. Method: The current study utilized a publicly available dataset of functional connectivity matrices generated during initiation and inhibition (go/nogo paradigm) in 144 healthy adults between the age of 20 and 86 who were recruited from the greater Toronto area (Jenny R Rieck et. al, 2021). The researcher selected brain areas (ROIs) that showed high correlation (>0.75) from each participant's matrices and input high incidents of functional connectivity among all participants into an incidental matrix which was used to generate a network graph for each task. ROIs are presented as nodes (vertices) while their connections are edges. Core measures, such as degree distribution, mean distance, within module degree z score, and gateway coefficient, were analyzed. Results: The analysis showed a disconnected network across several brain regions and several common connections among somatomotor, default A, and peripheral visual networks. For the initiation task, the medial prefrontal cortex on both hemispheres are more frequently activated. A high betweenness was found in different brain areas for the inhibition and initiation across visual and default networks. Further analysis showed the extra-striate cortex appears to be the “hub” for initiation while the extra-striate superior cortex appears to be the “hub” for inhibition. Conclusion(s): The present study showed several common brain areas that are activated during both initiation and inhibition, highlighted differences in activation between the two tasks and explored several areas that could be a “hub” during each task.
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França, Alex Bacadini, Adam Lee Gordon, Rajvinder Samra, Evelise Saia Rodolpho Duarte, and Alessandro Ferrari Jacinto. "Symptoms of mood disorders in family carers of older people with dementia who experience caregiver burden: a network approach." Age and Ageing 49, no. 4 (February 24, 2020): 628–33. http://dx.doi.org/10.1093/ageing/afaa008.

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Abstract Background informal carers of people with dementia are at greater risk of anxiety and depressive disorders if they find caregiving to be a burden. The aim of this study was to use a network analysis of cross-sectional data to investigate the relationships between anxiety and depressive symptoms in family carers of older people with dementia who experience burden. Methods sixty family carers exhibiting high levels of burden using the Zarit Burden Interview were included in the study. Participants completed the Hospital Anxiety and Depression Scale. The network analysis identified the depression and anxiety symptom network using features including a topological graph, network centrality metrics and community analysis. The network was estimated through the graphical LASSO technique in combination with a walktrap algorithm to obtain the clusters within the network and the connections between the nodes (symptoms). A directed acyclic graph was generated to model symptom interactions. Results the resulting network architecture shows important bridges between depression and anxiety symptoms. Lack of pleasure and loss of enjoyment were identified as potential gateway symptoms to other anxiety and depression symptoms and represent possible therapeutic targets for psychosocial interventions. Fear and loss of optimism were highly central symptoms, indicating their importance as warning signs of more generalised anxiety and depression. Conclusions this network analysis of depressive and anxiety symptoms in overburdened family carers provides important insights as to what symptoms may be the most important targets for behavioural interventions.
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Dissertations / Theses on the topic "Graph Gateway"

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Zhuang, Yinfang. "Measuring Effectiveness of Address Schemes for AS-level Graphs." UKnowledge, 2012. http://uknowledge.uky.edu/cs_etds/8.

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This dissertation presents measures of efficiency and locality for Internet addressing schemes. Historically speaking, many issues, faced by the Internet, have been solved just in time, to make the Internet just work~\cite{justWork}. Consensus, however, has been reached that today's Internet routing and addressing system is facing serious scaling problems: multi-homing which causes finer granularity of routing policies and finer control to realize various traffic engineering requirements, an increased demand for provider-independent prefix allocations which injects unaggregatable prefixes into the Default Free Zone (DFZ) routing table, and ever-increasing Internet user population and mobile edge devices. As a result, the DFZ routing table is again growing at an exponential rate. Hierarchical, topology-based addressing has long been considered crucial to routing and forwarding scalability. Recently, however, a number of research efforts are considering alternatives to this traditional approach. With the goal of informing such research, we investigated the efficiency of address assignment in the existing (IPv4) Internet. In particular, we ask the question: ``how can we measure the locality of an address scheme given an input AS-level graph?'' To do so, we first define a notion of efficiency or locality based on the average number of bit-hops required to advertize all prefixes in the Internet. In order to quantify how far from ``optimal" the current Internet is, we assign prefixes to ASes ``from scratch" in a manner that preserves observed semantics, using three increasingly strict definitions of equivalence. Next we propose another metric that in some sense quantifies the ``efficiency" of the labeling and is independent of forwarding/routing mechanisms. We validate the effectiveness of the metric by applying it to a series of address schemes with increasing randomness given an input AS-level graph. After that we apply the metric to the current Internet address scheme across years and compare the results with those of compact routing schemes.
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Σπύρου, Παναγιώτης. "Εφαρμογή της θεωρίας των γράφων στους αλγόριθμους δρομολόγησης των σύγχρονων τηλεπικοινωνιακών δικτύων." Thesis, 2015. http://hdl.handle.net/10889/8807.

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Στην εργασία αυτή, μελετήθηκε η δομή του σύγχρονου ίντερνετ από την σκοπιά του δικτύου και κατέστη σαφές το πως διασυνδέονται οι πάροχοι υπηρεσιών και οι τερματική χρήστες, πως γίνεται η δρομολόγηση και ποιοί αλγόριθμοι χρησιμοποιούνται για τιν επίτευξη της.
This diploma thesis focus on how modern networks connect together in order to create the internet and which algorithms used for the routing of informations that traverse through them.
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Book chapters on the topic "Graph Gateway"

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Tang, Maolin, and Chien-An Chen. "Wireless Network Gateway Placement by Evolutionary Graph Clustering." In Neural Information Processing, 894–902. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70090-8_91.

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Tong, Hanghang, Spiros Papadimitriou, Christos Faloutsos, Philip S. Yu, and Tina Eliassi-Rad. "BASSET: Scalable Gateway Finder in Large Graphs." In Advances in Knowledge Discovery and Data Mining, 449–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13672-6_43.

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Gonzalez, Hector, Jiawei Han, Hong Cheng, and Tianyi Wu. "Warehousing RFID and Location-Based Sensor Data." In Intelligent Techniques for Warehousing and Mining Sensor Network Data, 50–71. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-328-9.ch003.

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Massive Radio Frequency Identification (RFID) datasets are expected to become commonplace in supply-chain management systems. Warehousing and mining this data is an essential problem with great potential benefits for inventory management, object tracking, and product procurement processes. Since RFID tags can be used to identify each individual item, enormous amounts of location-tracking data are generated. Furthermore, RFID tags can record sensor information such as temperature or humidity. With such data, object movements can be modeled by movement graphs, where nodes correspond to locations, and edges record the history of item transitions between locations and sensor readings recorded during the transition. This chapter shows the benefits of the movement graph model in terms of compact representation, complete recording of spatio-temporal and item level information, and its role in facilitating multidimensional analysis. Compression power and efficiency in query processing are gained by organizing the model around the concept of gateway nodes, which serve as bridges connecting different regions of graph, and provide a natural partition of item trajectories. Multi-dimensional analysis is provided by a graph-based object movement data cube that is constructed by merging and collapsing nodes and edges according to an application-oriented topological structure.
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Teo, Yong Meng, Verdi March, and Marian Mihailescu. "Hierarchical Structured Peer-to-Peer Networks." In Handbook of Research on Scalable Computing Technologies, 140–62. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-661-7.ch007.

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Structured peer-to-peer networks are scalable overlay network infrastructures that support Internet-scale network applications. A globally consistent peer-to-peer protocol maintains the structural properties of the network with peers dynamically joining, leaving and failing in the network. In this chapter, the authors discuss hierarchical distributed hash tables (DHT) as an approach to reduce the overhead of maintaining the overlay network. In a two-level hierarchical DHT, the top-level overlay consists of groups of nodes where each group is distinguished by a unique group identifier. In each group, one or more nodes are designated as supernodes and act as gateways to nodes at the second level. Collisions of groups occur when concurrent node joins result in the creation of multiple groups with the same group identifier. This has the adverse effects of increasing the lookup path length due to a larger top-level overlay, and the overhead of overlay network maintenance. We discuss two main approaches to address the group collision problem: collision detection-and-resolution, and collision avoidance. As an example, they describe an implementation of hierarchical DHT by extending Chord as the underlying overlay graph.
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Lovejoy, Shaun. "New worlds versus scaling: From van Leeuwenhoek to Mandelbrot." In Weather, Macroweather, and the Climate. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190864217.003.0006.

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We just took a voyage through scales, noticing structures in cloud photographs and wiggles on graphs. Collectively, they spanned ranges of scale over factors of billions in space and billions of billions in time. We are immediately confronted with the question: How can we conceptualize and model such fantastic variation? Two extreme approaches have developed. For the moment, I call the domi­nant one the new worlds view, after Antoni van Leeuwenhoek (1632– 1723), who developed a powerful early microscope. The other is the self- similar (scaling) view by Benoit Mandelbrot which I discuss in the next section. My own view— scaling but with the notion of scale itself an emergent property— is discussed in Chapter 3. When van Leeuwenhoek peered through his microscope, in his amazement he is said to have discovered a “new world in a drop of water”: “animalcules,” the first microorganisms (Fig. 2.1). Since then, the idea that zooming reveals something completely new has become second nature. In the twenty- first cen­tury, atom- imaging microscopes are developed precisely because of the promise of such new worlds. The scale- by- scale “newness” idea was graphically illustrated by K. Boeke’s highly influential book Cosmic View, which starts with a photograph of a girl holding a cat, first zooming away to show the surrounding vast reaches of outer space, and then zooming in until reaching the nucleus of an atom. The book was incredibly successful. It was included in Hutchins and Adler’s Gateway to the Great Books, a ten- volume series featuring works by Aristotle, Shakespeare, Einstein, and others. In 1968, two films were based on Boeke’s book— Cosmic Zoom and Powers of Ten (1968, re- released in 1977), encouraging the idea that nearly every power of ten in scale hosts different phenomena. More recently (2012), there’s even the interactive Cosmic Eye app for the iPad, iPhone, or iPod, not to mention a lavish update: the “Zoomable Universe.”
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Conference papers on the topic "Graph Gateway"

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Oliveira, Daniel, Carlos Magno Abreu, Eduardo Ogasawara, Eduardo Bezerra, and Leonardo De Lima. "A Science Gateway to Support Research in Spectral Graph Theory." In XXXIV Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sbbd.2019.8826.

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Describing classes of graphs that optimize a function of the eigenvalues subject to some constraints is one of the topics addressed by Spectral Graph Theory (SGT). In this paper, we propose RioGraphX, a science gateway developed on top of Apache Spark, which aims to obtain all graphs that optimize a given mathematical function of the eigenvalues of a graph. Initial experiments involving small graphs have pointed out optimal graphs in a reasonable computational time, and also have shown that leveraging parallel processing is a promising approach to handle larger graphs.
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Loh, Frank, Noah Mehling, Stefan Geisler, and Tobias Hosfeld. "Graph-Based Gateway Placement for Better Performance in LoRaWAN Deployments." In 2022 20th Mediterranean Communication and Computer Networking Conference (MedComNet). IEEE, 2022. http://dx.doi.org/10.1109/medcomnet55087.2022.9810404.

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Guo, Chengxin, Taoshen Li, and Zhihui Ge. "Gateway deployment optimization in wireless mesh backbone networks using directional antenna based on delaunay graph." In International conference on Management Innovation and Information Technology. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/miit130411.

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Obert, James, and Adrian Chavez. "Graph-Based Event Classification in Grid Security Gateways." In 2019 Second International Conference on Artificial Intelligence for Industries (AI4I). IEEE, 2019. http://dx.doi.org/10.1109/ai4i46381.2019.00023.

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Fonseca, Saulo, Lucas Penedo, Breno Antunes, Sérgio Lifschitz, Maria Luiza Machado Campos, and Ana Carolina Almeida. "DW-ENEM: a Data Warehouse for Analytics Exploration of National High School Exams Results." In Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/sbbd_estendido.2022.21840.

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The National High School Exam (ENEM) aims to assess the quality of high school education and serve as a gateway for students to public and private universities (national or foreign). Although these data are open, it is difficult to interpret because of the available format. This paper aims to structure and analyze ENEM data at a multidimensional level. We propose a multidimensional model of the data warehouse and present some graphs resulting from analyzes requested by coordinators of Brazilian schools. Such analyzes include information on people with special needs and data on socio-economic issues.
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Engelhardt, Nina, and Hayden Kwok-Hay So. "Towards Flexible Automatic Generation of Graph Processing Gateware." In HEART2017: The 8th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3120895.3120896.

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Fuehne, Joseph. "A New, Gateway Class Emphasizing Metrology." In NCSL International Workshop & Symposium. NCSL International, 2017. http://dx.doi.org/10.51843/wsproceedings.2017.05.

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The Purdue Polytechnic Institute is one of ten colleges on the campus of Purdue University in West Lafayette, Indiana. Also included in the Institute is an outreach effort that includes ten locations spread throughout the state of Indiana to engage local communities and industries and to provide an alternative to the main campus for traditional and non-traditional students in those geographic areas. One of those areas is Columbus, Indiana, about an hour south of Indianapolis, and this paper relates experiences from that location. The Purdue Polytechnic Institute is using modernized teaching methods that are "research-proven, state-of-the-art teaching methods that are different, fun, challenging and more effective." One element of this is to bring these methods to a first-semester class so that the newest students can experience these methods and understand what to expect over their time with the Polytechnic Institute. Purdue Polytechnic Columbus is unique among the outreach locations due to a partnership with diesel-engine manufacturer Cummins Inc. that has led to an environmentally-controlled metrology lab located within the university facility. The lab contains a calibrated coordinate measuring machine, calibrated tensile tester, a surface finish instrument, a roundness tester and a plethora of donated hand tools including calipers, micrometers, height gauges, bore gauges, PI tapes, sine blocks, and several sets of gauge blocks. This new class attempts to integrate nearly all facets of the metrology lab into the learn-by-doing activities to provide a fun, unparalleled experience for the first-time students. Activities described in the paper include micrometer calibration using gauge blocks, a study of springs using a height gauge and mass standards, pressure and force measurements of footballs, load-displacement characteristics of various bandages, and calculation of volume and surface area of various objects using calipers, micrometers, and rulers. In all cases, students are required to summarize data by developing graphs and tables using spreadsheet software.
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Lopez Ruiz, Yeniffer, Nidia Rocio Cardenas, Gary Nelson Tagarot, Julia Marlene Carrera, Gian Marcio Gey, Fernando Fuquene, Annalyn Josefina Azancot, and Angélica María Vargas. "A Digital Transformation Journey for a Mature using Production Technologies and Innovation Principles." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211796-ms.

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Abstract A novel solution was proposed in Ecuador to transition from reactive to a proactive way of working into a collaborative environment. This new workflow is supported by a portfolio of three production technologies that integrates live and historical information by combining the edge intelligence strength (for each production element connected to IoT platform) and the cloud insight to enhance the field operational efficiency. Technology that reduces carbon footprint and increases people’s efficiency through automation of repetitive tasks. The main challenge that required an integrated and smart solution was the existence of silos, meaning that all production chain elements were disconnected. The solution consisted of a portfolio of three technologies. First, connecting all production chain elements to one unique gateway and Edge platform: all data were consolidated to perform asset surveillance, monitoring, and controlling of electrical submersible pump (ESP) parameters from any vendor. Second, creation of an autonomous system aiming to avoid gas blockage on ESPs. Third, deployment of Production Engineering Orchestrator, fully completed and in continuous improvement, easing collaborative, day-to-day analysis for production, operations, and exploitation engineers We achieved remarkable results with Internet of Things (IoT) and cloud insights implementation; for instance, travel reduction of 18%, personnel efficiency increase (production operations 7% and surveillance engineers 25%), 47% events detection increase, 32% well uptime increase, and 2.14 t carbon dioxide emissions reduction (22.6%). Because of the outstanding results achieved from IoT adoption, new applications were deployed in other projects. With automated annular gas handling, production challenges related to high gas/oil ratio wells were solved. Solution consisted in delivering an automated ESP gas-handling process by using a securely connected, solar-powered skid to optimize well performance, production was increased by 12%, field visits reduced by 94%, and valves manipulation decreased by 97%. Other applications are also running in parallel, to expand the concept of intelligent asset solution. For the production engineering workflows orchestrator, the native implementation is completed, where the highest business impact workflows are included, such as smart production surveillance, waterflooding optimization and ESP surveillance. Insights are shown in "production overview". It is also possible to follow up oil and water producing wells, task modules, customized maps and graphs, sanity check processes, and well model calibration (including the paraffin curves). The integration of these three digital production technologies to improve artificial lift surveillance, production surveillance, and waterflooding optimization workflows is already deployed and showing tangible benefits. Currently, a mature field project is currently working in a collaborative environment, promoting a new proactive operational philosophy that avoids early pump failures, reduces downtime, field trips, personnel exposure due to the COVID-19 pandemic and supports the environmental commitment towards the carbon footprint reduction
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