Relevant bibliographies by topics / Degree Discipline: Network Engineering

Academic literature on the topic 'Degree Discipline: Network Engineering'

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

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Journal articles on the topic "Degree Discipline: Network Engineering"

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Koam, Ali N. A., Ali Ahmad, and Yasir Ahmad. "Computation of reverse degree-based topological indices of hex-derived networks." AIMS Mathematics 6, no. 10 (2021): 11330–45. http://dx.doi.org/10.3934/math.2021658.

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<abstract><p>Network theory gives an approach to show huge and complex frameworks through a complete arrangement of logical devices. A network is made is made of vertices and edges, where the degree of a vertex refers to the number of joined edges. The degree appropriation of a network represents the likelihood of every vertex having a particular degree and shows significant worldwide network properties. Network theory has applications in many disciplines like basic sciences, computer science, engineering, medical, business, public health and sociology. There are some important networks like logistical networks, gene regulatory networks, metabolic networks, social networks, derived networks. Topological index is a numerical number assigned to the molecular structure/netwrok which is used for correlation analysis in physical, theoretical and environmental chemistry. The hex-derived networks are created by hexagonal networks of dimension $ t $, these networks have an assortment of valuable applications in computer science, medical science and engineering. In this paper we discuss the reverse degree-based topological for third type of hex-derived networks.</p></abstract>
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Hu, Jiming, and Yin Zhang. "Measuring the interdisciplinarity of Big Data research: a longitudinal study." Online Information Review 42, no. 5 (September 10, 2018): 681–96. http://dx.doi.org/10.1108/oir-12-2016-0361.

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Purpose The purpose of this paper is to measure the degree of interdisciplinary collaboration in Big Data research based on the co-occurrences of subject categories using Stirling’s diversity index and specialization index. Design/methodology/approach Interdisciplinarity was measured utilizing the descriptive statistics of disciplines, network indicators showing relationships between disciplines and within individual disciplines, interdisciplinary communities, Stirling’s diversity index and specialization index, and a strategic diagram revealing the development status and trends of discipline communities. Findings Comprehensively considering all results, the degree of interdisciplinarity of Big Data research is increasing over time, particularly, after 2013. There is a high level of interdisciplinarity in Big Data research involving a large number of disciplines, but it is unbalanced in distribution. The interdisciplinary collaborations are not intensive on the whole; most disciplines are aggregated into a few distinct communities with computer science, business and economics, mathematics, and biotechnology and applied microbiology as the core. Four major discipline communities in Big Data research represent different directions with different development statuses and trends. Community 1, with computer science as the core, is the most mature and central to the whole interdisciplinary network. Accounting for all network indicators, computer science, engineering, business and economics, social sciences, and mathematics are the most important disciplines in Big Data research. Originality/value This study deepens our understanding of the degree and trend of interdisciplinary collaboration in Big Data research through a longitudinal study and quantitative measures based on two indexes. It has practical implications to study and reveal the interdisciplinary phenomenon and characteristics of related developments of a specific research area, or to conduct comparative studies between different research areas.
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Yin, Yong, Yu Li, Wei Guo Lin, and Er Shi Hua. "Directed-Weighted Modeling of Resource Node in Manufacturing Grid and Its Application Analysis." Advanced Materials Research 472-475 (February 2012): 2626–31. http://dx.doi.org/10.4028/www.scientific.net/amr.472-475.2626.

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Complex network has penetrated into numerous fields including mathematics and sciences, life science and engineering discipline, with strong interdisciplinary features. This paper applies the complex network theory into Manufacturing Grid field by abstracting multi-node network in Manufacturing Grid into complex network. Firstly, the characteristics of the direction and weight of the resource node in Manufacturing Grid are analyzed. Then, complex network modeling of resource nodes in Manufacturing Grid is launched. Some possible application such as node degree, shortest path between two nodes and role of node are discussed. Finally, typical examples of complex network, for example, the distribution of resource node degree and the shortest path between manufacturing subtasks are provided. The work of the paper supplies a new sight and approach to the research and study on Manufacturing Grid.
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Baaqeel, Hanan M., Sara F. Aloufi, and Tariq Elyas. "Exploring Interdisciplinary Relationships Among King Abdulaziz University Departments via ResearchGate: Network Analysis and Visualizations." Journal of Management and Strategy 11, no. 3 (August 4, 2020): 55. http://dx.doi.org/10.5430/jms.v11n3p55.

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Because all disciplines are connected, interdisciplinary studies are one of the most significant discussions in the education sector. It involves the merging of two or more academic disciplines into one activity. The aim of this research paper is to explore the relationship of interdisciplinary research and network among all departments at King Abdulaziz University (KAU) in ResearchGate (RG) by using the statistical network analysis of undirected social networks. In our academic network, the departments of the university represent the vertices and their academic relationships. We will detect the communities between the departments in RG network by using statistical analysis of the network for each community. Finally, we will compare the academic social network at KAU to some random graph models, and investigate some random graph characteristics, such as power-law, small-world, and scale-free models. In our research, we found that the Department of Chemistry has the highest degree for the academic social network at KAU in RG, and the highest eigenvector centrality as well. In terms of vertex centrality, the Department of Electrical and Computer Engineering has the highest value in closeness and betweenness centrality. Also, we found that the most two connected departments are the Department of Computer Science and Department of Physics through the edge weight equals 248. By using community detection, we found there are seven communities. We conclude that the degree distribution of the academic social network of KAU in RG is different from the degree distribution of random graph models, but it is slightly close to small world model. This study , in turn, can participate to achieve one of the goals of Vision 2030 by shedding some light into how to improve research networks in the education sector and research among Saudi universities.
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Lepadatu, Daniel, Loredana Judele, Gabriel Sandulache, and Viorica Mocreac. "Civil Engineering and Building Service Topographic Permanent Landmarks Network. Spatial Coordinate Optimization." Present Environment and Sustainable Development 10, no. 1 (June 1, 2016): 171–78. http://dx.doi.org/10.1515/pesd-2016-0015.

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Abstract Sustainable development is a modern concept of adaptation conditions for achieving objectives that respond simultaneously to at least three major requirements: economic, social and environmental. Achieving sustainable development cannot be accomplished without a change of mentality of people and without communities able to use resources rationally and efficiently. For an efficient application programs surveying topography discipline the students have imagined and created a network of local topographic permanent terminals required for reporting the rectangular coordinates of applications. In order to obtain more accurate values of these coordinates we have made several types of measurements that will be presented in detail in this work. The aim of this paper is to optimize the locating terminals coordinates of the points of our faculty, initially determined using GPS technology. Additional measurements were performed in an interval of one year using a total station. Considering that four previously determined terminal network points were placed between the relatively tall buildings, it was decided that it could be better to determine their spatial coordinates using the classical planimetric surveying method. To this end, the coordinates of the two reference points were located and determined near this network with the help of GPS technology in an area with good visibility. In order to determine the coordinates of the two reference points GNSS Permanent Stations National Network was used through the RTK method: RTCM (Radio Technical Commission for Maritime Services). The measurements were using GPS SOUTH S82T, whose field book has the implemented software transcomputation real-time geographic coordinates in STEREO-70 coordinate system. The network of permanent GNSS stations used the fixed station IASI_2.3 and the virtual station RO_MAC_3.1_GG. The solutions for the new determined points were fixed, the determination’s accuracy ranging between 0.034-0.010 meters. Following these two rounds of measurements of the locating terminals coordinates of the network points of the faculty using GPS technology combined with the classical planimetric surveying method, we got a new set of coordinates with a higher degree of determination accuracy after averaging the results.
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Songer, Anthony D., and Karen R. Breitkreuz. "Interdisciplinary, Collaborative International Service Learning: Developing Engineering Students as Global Citizens." International Journal for Service Learning in Engineering, Humanitarian Engineering and Social Entrepreneurship 9, no. 2 (September 30, 2014): 157–70. http://dx.doi.org/10.24908/ijsle.v9i2.5621.

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Recent calls to reform engineering education place emphasis on applied math and science within the broader context of globalization, economics, the environment, and society. This broad and complex challenge necessitates the investigation of new interdisciplinary education approaches for engineering education. This paper presents a formal approach for developing engineering students as global citizens. The 360 Degree Model for Educating Socially Responsible Global Citizens (360 Global Ed model) presented herein includes a framework for foundational theory, educational environment, academic coursework, and outcomes. At the core of the emerging model is an international service learning experience called the Village Network. The Village Network provides an interdisciplinary educational program that combines classroom learning with authentic international field experiences. The program responds to the demands for integrating technical and social domains in a multi-disciplined, globally sensitive paradigm. The multi-disciplined team approached addresses both internal outcomes of self mastery and motivation that propel individuals to engage as socially responsible global citizens and external outcomes of technical and social knowledge and skills to include sustainability, teaming, and leadership. This paper establishes the need for a global imperative for engineering education and provides a background on globalization, social responsibility and service learning. It describes the 360 degree model for educating socially responsible global citizens and provides pilot assessment results through a mixed methods approach.
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Si, Huihui. "Research and Implementation of Chinese Automatic Word Segmentation System Based on Complex Network Features." Wireless Communications and Mobile Computing 2022 (February 9, 2022): 1–10. http://dx.doi.org/10.1155/2022/3812643.

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In the field of Chinese information processing, automatic word segmentation is a fundamental concept. Complex networks are widely used in modeling and analysis of complex systems across a wide range of disciplines, prompting an increase in interest in the structure of complex networks and the relationship between structure and function among academics. In contrast to Western countries, while there is a syllabic change in spoken Chinese that has formed a degree of boundary, it appears in writing as continuous Chinese character strings with no obvious word segmentation marks and no morphological segmentation marks. In summary, an in-depth study of network news information processing through complex networks can provide effective means to purify the network environment and reduce massive waste of communication resources and users’ time, which is of significant research importance. The characteristics of complex networks are used to study the Chinese automatic word segmentation system in this paper. A new interdisciplinary subject, complex networks and complex systems, has emerged. Researchers from various disciplines are attempting to study complex systems through the lens of system complexity theory and complex network theory in order to better understand the mechanism of network fault diffusion.
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Li, Ming, and Chen Zhai Luzi. "Influence of Ideological and Political Integration of Curriculum Based on Deep Learning on the Teaching Design of Sports Aerobics." Mathematical Problems in Engineering 2022 (May 26, 2022): 1–9. http://dx.doi.org/10.1155/2022/8018962.

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Course ideology and politics (CIAP) have been proposed in recent years, and the concept is relatively new. Therefore, there are few studies related to aerobics in this field, and the related system is not perfect. On the one hand, the research is conducive to broadening the vision of ideological and political education research and promoting the development and reform of CIAP into the physical education discipline. In recent years, the development of deep learning has been rapid. Among them, artificial neural networks (ANNs) have a high degree of nonlinear learning ability, and ANN algorithms have been widely used in data mining applications. Therefore, this paper proposes a method for evaluating the impact of deep learning-based CIAP integration into the sports aerobics teaching design.
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Cheng, Tao, and Bing Zhang. "Application & Research of Multi-Media Network Technology in Chemistry Experimental Course." Advanced Materials Research 183-185 (January 2011): 1302–6. http://dx.doi.org/10.4028/www.scientific.net/amr.183-185.1302.

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The rapid emergence of multi-media technology and internet technology is one of the typical characteristics during the information era, and their combination enables the carrier and transmission mode of modern knowledge and information to realize the leap in quality. The chemistry is one of the four fundamental courses of teaching system in the institutions of higher learning, but the chemical experiment is where the soul of chemical teaching lies. It is not merely the important means of making the students acquire the chemical knowledge, know the chemical rule, form the chemical concept and improve all sorts of capabilities, besides, the cultivation of the student’s creative spirit and ability in this process can not be replaced by other disciplines. However, in today’s chemical experimental class, the teaching effect of chemical experimental course is not perfect, because of the influence of experimental conditions, lab surroundings, time and other factors. By the design, the development and the utilization of multi-media network technology, the multimedia library, the video technology and the simulation technology, the teaching effect of chemical experimental course can be promoted to a large degree.
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Shah, Jay, Joshua Nwokeji, Tejas Veeraganti Manjunath, and Tajmilur Rahman. "Analysis of Engineering Students Acceptance and Usage of 5G Technology: A Case Study of Gannon University." Computer and Information Science 15, no. 4 (September 13, 2022): 57. http://dx.doi.org/10.5539/cis.v15n4p57.

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It has been around 20-25 years since the internet was first developed for public use, and since then the number of users has been increasing exponentially. In a recent report, there are around 313 million internet users, out of which 276.8 million are mobile internet users and internet penetration is 90.3% (Johnson, 2021). With the development of wireless telecommunication technology and mobile devices, use of the internet access has been increasing. From the first generation (1G) of cellular networks to the current 5th Generation (5G), there has been a huge improvement in the data rate, coverage, and security that made it possible to have the internet on mobile phones. The internet in mobile devices has existed since 2G and was used for checking emails and browsing the web (Yamauchi et al., 2005). It is important that users should accept new technology. In this study, acceptance, and usage of the 5G technology that was investigated in a survey of students from the engineering discipline of Gannon University. This work describes the usage of a statistical technique called the technology acceptance model to determine the engineering students perception of the degree to which the 5G technology is accepted and useful. It aims to answer the research questions of whether perceived usefulness and perceived ease of use a ect the actual usage of 5G technology among engineering students, as they tend to bend towards new technology because of the high involvement of technology in engineering studies. This work aims to answer, to what extent perceived usefulness and perceived ease of use determine the usage of 5G technology among the selected group of participants.
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Dissertations / Theses on the topic "Degree Discipline: Network Engineering"

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Zatloukal, Kevin C. (Kevin Chaffee). "A degree-optimal, ordered peer-to-peer overlay network." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34117.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (leaves 93-96).
Peer-to-peer overlay networks are structures for organizing nodes, routing traffic, and searching for data in a distributed system. Two of the most important theoretical advancements in this area were the development of degree-optimal and ordered networks. Prior to this work, it was not known whether both properties could be achieved simultaneously. This thesis presents Family Trees, the first peer-to-peer overlay network that is both degree-optimal and ordered. We develop Family Trees theoretically, proving correctness and bounds on their performance. We also describe how Family Trees can be optimized to improve latency and discuss the results of an experimental study showing that Family Trees provide good performance in practice.
by Kevin C. Zatloukal.
S.M.
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Virk, M. (Muhammad). "Design and implementation of a multi-purpose Wireless Body Area Network." Master's thesis, University of Oulu, 2013. http://urn.fi/URN:NBN:fi:oulu-201306061569.

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A wireless body area network (WBAN) is a collection of miniaturized and energy efficient wireless sensor nodes which monitor human body functions and its surroundings. It has been observed that WBANs perform single application per network, computation and storage capacities are scarce and there is no or limited mobility support. Technically complex WBAN application solutions today, find refuge in processing computationally complex data external to WBANs, i.e., processing sensor data on a conventional PC which is impractical and clumsy. There is a strong need for WBAN platforms which can perform computationally complex tasks on their own having enough resources in terms of computation and memory but still consuming as low power as possible in order to prolong network uptime. In this thesis work, an improved WBAN named multipurpose-BodyNet (MPBodyNet) is implemented. It has enough computational and memory resources and compact software solutions to achieve high performance and fidelity. MPBodyNet is a self-configuring, multipurpose WBAN which can perform multiple applications and user can switch between applications by a mere push of button. It supports mobility and it acts like an agent network to other networks. MP-BodyNet forms a hierarchy where low-capability networks are supported by higher-capacity networks. Hardware used for MP-BodyNet has been designed by WSN-Team at Centre for Wireless Communications, University of Oulu and this thesis proposes two application scenarios. Senior citizen protection mode (SPM) deals with a very hot health care issue for elderly people and patients. An algorithm is proposed and implemented that can detect falls or if the subject/patient has fainted. In SPM, MP-BodyNet can generate alarms in case of emergency and events can be seen on a central server as well as a special alarm is generated to the user’s phone (android app.) which can in turn establish an emergency call automatically. Algorithmic efficiency achieved is 100%. Silent communication mode (SCM) deals with a military hand signal/gesture recognition application. A quite complex pattern recognition algorithm has been proposed with two novelties in it i.e., a sampling process is introduced in the algorithm and the whole algorithmic processing is supposed to be done on the sensor node itself, no processing is supposed to be happening external to the WBAN. Algorithm for SCM is only presented here conceptually after rigorous research about the subject at disposal. It is not implemented in this thesis due to lack of time and is saved for future development. After a gesture would be recognized, an audio message mapped to the gesture will be heard over a headphone.
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Kovacevic, I. (Ivana). "Congestion control and spectrum sharing in multi-operator multi-hop wireless network." Master's thesis, University of Oulu, 2015. http://urn.fi/URN:NBN:fi:oulu-201503111139.

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Emergence of dramatic increase in applications provided by smart devices, such as smart phones, is no longer supported by traditional telecommunications systems such as wireless cellular systems. Arising challenges are ever increasing traffic demand, shortage of available spectrum and congestion over wireless systems. On the other hand, network resources such as spectrum and computational capability, are severely under-utilized. With regard to efficient use the available resources, promising trend is to develop heterogeneous networks (HetNets) such that different operators can share their excess capacities among themselves with the previous agreement. The most research done in spectrum sharing is focused only on the network access point. In this thesis work we extend the modelling of the spectrum sharing problem to include all links on the route for a given session. While this problem might have been analyzed from the point of view of route availability our control system is focused on queue management across the network that maintains predetermined spectra sharing rules at the session level of each operator. Addressing an issue of congestion over wireless system different congestion control mechanisms are presented and analyzed enabling a variety of options for managing traffic across the spectra sharing network. These models are generalized to include different pricing mechanisms. Two approaches are taken for analyzing pricing models with congestion control mechanism. First, network nodes are modeled as two-dimensional Markov processes. Since memoryless nature of Markov process imposes restrictions on analyzed system, in order to generalize analysis, averaged non-Markov models are introduced. Performance metric used for assessing different models is average packet dropping rate.
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Ghazanfari, A. (Amin). "Coordinated beamforming and power control for network controlled Device-to-Device (D2D) communication." Master's thesis, University of Oulu, 2014. http://urn.fi/URN:NBN:fi:oulu-201401111003.

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Since the integration of data services into cellular communications, cellular operators are struggling to harness the overwhelming data traffic on their networks. Underlay Device-to-Device (D2D) communication is a new and promising paradigm which allows proximate mobile users to have direct communication over the cellular spectrum that may be reused by other cellular users in the same cell. This new paradigm is proposed to assist the cellular operators to deal with the booming demand of mobile users. Recent studies have shown that underlay D2D communication significantly increases the cellular network capacity, and enables cellular operators to support rich multimedia services. However, reusing cellular resources for both D2D and cellular communication introduces interference issues. In such systems, interference management is of utmost importance because improper interference coordination may lead to a self-destructive network. Power control and beamforming appears to be viable techniques for interference management which can also be used to enhance the energy efficiency of the system. Network coordinated sum power optimization schemes for D2D communications underlaying uplink and downlink cellular spectrum is considered in this thesis. In particular, the system optimization target is to minimize the sum transmission power while guaranteeing the user specific rate constraints. Novel algorithms are proposed to solve the power minimization problem optimally. For the uplink, the problem is solved using joint transmit power control and receive beamforming algorithm. The downlink problem is reformulated as a second-order cone program (SOCP), and thus, it can be solved efficiently via standard SOCP solvers. Moreover, a decentralized algorithm is proposed that reduces the amount of control information exchange in comparison to the centralized approach. The performance of the proposed algorithms is compared with the conventional cellular scheme. Simulation results demonstrate that the proposed underlay D2D communication approach is capable of achieving significant performance gains over the conventional cellular scheme. Results also illustrate that the power consumption of the system is highly affected by the location of the interfering cellular user and whether the resources are shared in uplink or downlink. Therefore, four different resource sharing areas are defined for D2D communications. These areas specify the type of resources (i.e., downlink and uplink) suitable for D2D communication.
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Ramezanipour, I. (Iran). "Decision error probability in a two-stage communication network for smart grids with imperfect sensing and data links." Master's thesis, University of Oulu, 2016. http://urn.fi/URN:NBN:fi:oulu-201602031115.

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This thesis analyzes a scenario where the distribution system operator needs to estimate whether the average power demand in a given period is above a predetermined threshold using a 1-bit memoryless scheme. Specifically, individual smart-meters periodically monitor the average power demand of their respective households to inform the system operator if it is above a predetermined level using only a 1-bit signal. The communication link between the meters and the operator occurs in two hops and is modeled as binary symmetric channels. The first hop connects individual smart meters to their corresponding aggregator, while the second connects different aggregators to the system operator. In the first set of analysis, the decision making only happens by the network operator in the second hop and aggregators in the first hop only work as relay nodes which only forward the information it has received from the smart meters. AND and OR decision rules are studied in this scenario. Moreover, in the second set of analysis, the decision about the power demand happens in two stages based on the received information bit. Meaning that the decision making happens both by the aggregators in the first hop and network operator in the second hop. We consider here three decision rules in the second scenario: AND, OR and MAJORITY. Our analytical results indicate the circumstances (i.e. how frequent the meters experience the consumption above the defined threshold) and the design setting (i.e. decision rules) that a low error probability can be attained. We illustrate our approach with both theoretical and numerical results from actual daily consumptions from 12 households and 3 aggregators. Also, we derive closed-form equations for the average decision error probability as a function of the system parameters (e.g. number of sensors, communication error, sensing error) and the input signal characterization. The first set of simulations are done in Matlab. Since the second set of data are provided in Excel; thus, the simulations are done using Visual Basic.
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Urtasun, López Marc. "Analysis of Autonomous Buses impact on transportation between Stockholm’s universities." Thesis, KTH, Transportplanering, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-256474.

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The city of Stockholm is developing fast and its population is strongly growing,new solutions for urban mobility must be found. Implementations in the publictransport network are needed and the use of automated buses is a present topicfor efficient and sustainable transportation. The Vetenskapsstaden area has threeof the main university campus coexisting, this leads to a generation of campusto-campus trips which creates an impact in the Stockholm’s public transport.The unique environment and singular users arise the aim to execute a potentialsolution to release ridership from the public transport network. This thesisanalyzes and evaluates whether a new automated bus line is needed or not inthe studied area. A cost model will study the proposed solutions through therated decision variables: frequency and capacity, commercial speed and differentrates of demand. The relative efficiency of the proposed implementations isstudied compared with the costs of the current public transport modes used inthe area. Numerical analysis and results are given for two different scenarios:implementing one bus line connecting the three campuses or three lines betweencampuses. The former scenario shows to be more sensitive to the studied variablesand presents higher costs whereas the second-option costs have a robust responseand lower overall price evaluation. For both infrastructure models, the rateof demand is crucial to evaluate the advantages of a potential solution. Theestablished method and criteria contributes to a better understanding of theimpact of autonomous buses to low-demand analytic models.
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Yuan, Wenpeng. "Performance Evaluation of a Network-Based Shape Analysis Approach." 2009. https://scholarworks.umass.edu/theses/333.

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In the field of image analysis in pattern recognition, shape is an important attribute to characterize graphical objects. It provides important information about an image. In the thesis, I proposed a new descriptor for image identification and classification, named Average Degree Descriptor. We did some experiments and compared its performance with Degree Descriptor. We also analyzed the Average Degree Descriptor theoretically, by comparing the data of distorted shapes and shapes of Kiki/Bouba. Since we also need to classify or identify some 3-dimension shapes in practical application, we proposed an approach to transform 3-dimension shapes to 2-dimension shapes. Moreover, we also studied the robustness of the proposed Average Degree Descriptor in random degradation. Results show that the proposed Average Degree Descriptor has good performance in image identification, even with random degradation.
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Samad, S. S. "An analysis of the impact of sea level rise on Lake Ellesmere-Te Waihora and the L2 drainage network, New Zealand : a thesis submitted in partial fulfilment of the requirements for the degree of Master of Engineering in Civil Engineering in the University of Canterbury /." 2007. http://library.canterbury.ac.nz/etd/adt-NZCU20070912.142027.

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Books on the topic "Degree Discipline: Network Engineering"

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Astrahancevaa, Irina, Sergey Bobkov, Vadim Mizonov, and Sergey Boykov. Modeling of systems. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1831624.

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The textbook discusses general issues of system modeling, analytical, empirical and simulation approaches to modeling. Typical mathematical schemes used in the analytical approach, methods and tools of simulation modeling of systems are given. Attention is also paid to network and agent-based alternative approaches to modeling. Meets the requirements of the federal state educational standards of higher education of the latest generation. It is intended for undergraduate students studying in the direction of 09.03.02 "Information systems and technologies", whose working curricula include the discipline "Systems Modeling". It is assumed that the training plans also include training courses "Discrete Mathematics", "Mathematical logic and theory of algorithms", "System analysis". The manual will also be useful for master's degree students studying in the direction 09.04.02 "Information systems and technologies" (discipline "Models of information processes and systems").
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Lobanov, Aleksey. Medical and biological bases of safety. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1439619.

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The textbook considers the subject and tasks of the discipline, highlights the medical and biological foundations of ensuring human security in the conditions of natural, man-made and biological-social emergencies, as well as when using modern weapons of destruction by a probable enemy. Briefly, but quite informative, the structure of the human body and the basics of its functioning are described. The specificity and mechanism of the toxic effect of harmful substances on a person, the energy effect and the combined effect of the main damaging factors of the sources of emergency situations of peacetime and wartime are shown. The article highlights the medical and biological aspects of ensuring the safe life of people in adverse environmental conditions, including in regions with hot and cold climates (the Arctic). The methods of forecasting and assessing the medical situation in emergency zones and lesions are presented. The means and methods of medical and biological protection and first aid to the affected are shown. The main tasks and organizational structure of formations and institutions of the medical rescue service of the GO, the All-Russian Service of Disaster Medicine and medical formations of the EMERCOM of Russia are considered. Organizational issues of medical and biological protection in emergency situations are highlighted. The features of the organization of medical support for those affected by terrorist attacks are considered. It is intended for students and cadets of educational institutions of higher education studying under the bachelor's degree program in the following areas of training: "Technosphere security", "Infocommunication technologies and communication systems", "Information systems and technologies", "State and municipal management", "Economics", "Mechatronics and robotics", "Operation of transport and technological machines and complexes", "Informatics and computer engineering", "Air Navigation", "System analysis and management". It can also be useful for researchers and a wide range of specialists engaged in practical work on planning and organizing medical and biological protection of the population.
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Mura, Anna, and Tony J. Prescott. A sketch of the education landscape in biomimetic and biohybrid systems. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0064.

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The Living Machines approach, which can be seen as an exemplar methodology for a wider initiative towards “convergent science,” implies and requires a transdisciplinary understanding that bridges from between science and engineering and to the social sciences, arts, and humanities. In addition, it emphasizes a mix of basic and applied approaches whilst also requiring an awareness of the societal context in which modern research and innovation activities are conducted. This chapter explores the education landscape for postgraduate programs related to the concept of Living Machines, highlighting some challenges that should be addressed and providing suggestions for future course development and policy making. The chapter also reviews some of the within-discipline and across-discipline programs that currently exist, particularly within Europe and the US, and outlines an exemplar degree program that could provide the multi-faceted training needed to pursue research and innovation in Living Machines.
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Olsson, Gustaf. Water Interactions – A Systemic View. IWA Publishing, 2022. http://dx.doi.org/10.2166/9781789062908.

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Abstract During the last two decades, the interrelationship between water and energy has become recognized. Likewise, the couplings to food and agriculture are getting increasingly obvious and alarming. In the last year, a record number of extreme weather events have been reported from most parts of the world. This is a visible demonstration how consequences of climate change must be understood and alleviated. The impacts of economics, lifestyle, and alarming inequalities are becoming increasingly recognisable. If the wealthy part of the world is not willing not make radical changes it does not matter what the less wealthy half of the global population will do to meet the climate and resource crisis. The purpose of the book is to demonstrate and describe how climate change, water, energy, food, and lifestyle are closely depending on each other. It is not sufficient to handle one discipline isolated from the others. This is the traditional “component view”. The book defines and describes a systems view. The communications and relationships between the “components” have to be described and recognized. Consequently, the development of one discipline must be approached from a systems perspective. At the same time, the success of the systems perspective depends on the degree of knowledge of the individual parts or disciplines. The catchphrase of systems thinking has been caught in the phrase, “The whole is more than the sum of its parts”. The idea is not new: the origin of this phrase is to be found already in Aristotle's Metaphysics more than 2300 years ago. The text may serve as an academic text (in engineering, economics, and environmental science) to introduce senior undergraduate and graduate students into systems thinking. Too often education encourages a “silo” thinking. Current global challenges can't be solved in isolation; they depend on each other. For example, water professionals should have a basic understanding of energy issues. Energy professionals ought to understand the dependency on water. Economic students should learn more how economy depends on natural resources like energy and water. Economics must include the environmental impact and ecological ceiling of economic activities. ISBN: 9781789062892 (print) ISBN: 9781789062908 (eBook) ISBN: 9781789062915 (ePUB)
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Book chapters on the topic "Degree Discipline: Network Engineering"

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Dai, H. K., and M. Toulouse. "Relating Network-Diameter and Network-Minimum-Degree for Distributed Function Computation." In Future Data and Security Engineering, 134–50. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63924-2_8.

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Ke, Jianhong, and Xiaoshuang Chen. "Degree Distribution of a Two-Component Growing Network." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 1838–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02469-6_60.

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Qin, Jingyao, and Xuan Wang. "Congestion Link Reasoning Algorithm Based on Contribution Degree in Network Slicing Environment." In Lecture Notes in Electrical Engineering, 181–87. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6901-0_20.

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Liu, Yong, Fan Jia, and Wei Cao. "A Degree-Based Method to Solve Cold-Start Problem in Network-Based Recommendation." In Lecture Notes in Electrical Engineering, 897–904. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7262-5_102.

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Liu, Yanxia, Wenjun Xiao, and Jianqing Xi. "The Characteristic and Verification of Length of Vertex-Degree Sequence in Scale-Free Network." In Lecture Notes in Electrical Engineering, 1281–88. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01766-2_145.

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Zhang, Songli, Yanfei Kong, Xiaohui Peng, and Xiaogao Wang. "Study on the Aerial Target’s Threat Degree Ordering Model Based on BP Neural Network." In Lecture Notes in Electrical Engineering, 219–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48224-7_27.

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Chi, Yan, Ji-chao Li, Ke-wei Yang, and Yue-jin Tan. "An Equipment Offering Degree Evaluation Method for Weapon System-of-Systems Combat Network Based on Operation Loop." In Proceedings of the 22nd International Conference on Industrial Engineering and Engineering Management 2015, 477–88. Paris: Atlantis Press, 2016. http://dx.doi.org/10.2991/978-94-6239-180-2_46.

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Drabowski, Mieczyslaw. "Modification of Neural Network Tsang-Wang in Algorithm for CAD of Complex Systems with Higher Degree of Dependability." In Dependability Engineering and Complex Systems, 121–33. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39639-2_11.

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Zanda, Andrea, Ernestina Menasalvas, and Santiago Eibe. "Dynamic Clustering Process to Calculate Affinity Degree of Users as Basis of a Social Network Recommender." In Web Information Systems Engineering – WISE 2011 and 2012 Workshops, 215–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38333-5_22.

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Xie, Rong, Yuchen Wang, and Mengting Jiang. "An Approach to the Synchronization of Dynamic Complex Network Combining Degree Distribution and Eigenvector Criteria." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 290–308. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-24383-7_16.

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Conference papers on the topic "Degree Discipline: Network Engineering"

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Li, C. James, and T. Y. Huang. "Automatic Structure and Parameter Training Methods for Modeling of Mechanical System by Recurrent Neural Networks." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-0402.

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Abstract Automatic nonlinear-system identification is very useful for various disciplines including, e.g., automatic control, mechanical diagnostics, and financial market prediction. This paper describes a fully automatic structural and weight learning method for recurrent neural networks (RNN). The basic idea is training with residuals, i.e., a single hidden neuron RNN is trained to track the residuals of an existing network before it is augmented to the existing network to form a larger and better network. The network continues to grow until either a desired level of accuracy or a preset maximal number of neurons is reached. The method requires neither guess of initial weight values nor the number of neurons in the hidden layer from users. This new structural and weight learning algorithm is used to find RNN models for a two-degree-of-freedom planar robot, a Van der Pol oscillator and a Mackey-Glass equation using their simulated responses to excitations. In addition, a RNN model is obtained for a real robot using its input and output measurements. The algorithm is effective in all four cases and RNN models were shown to be superior to linear models and hybrid models wherever the comparison was made.
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Wang, Bin, Bingtao Hu, Zhifeng Zhang, Yixiong Feng, and Jianrong Tan. "A Knowledge Retrieval Method for Layout Design of Nuclear Power Reactor Coolant System Based on Hypernetwork and Deep Structured Semantic Model." In 2022 29th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/icone29-91827.

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Abstract The layout design of nuclear power reactor coolant system requires a large amount of knowledge that satisfies many disciplines, which will waste designers a lot of time retrieving relevant knowledge in the design process. In order to obtain the knowledge efficiently and accurately, a knowledge retrieval method based on hypernetwork and deep structured semantic model (DSSM) was proposed. The knowledge hypernetwork model consisted of a designer sub-network, a design task subnetwork, and a design knowledge resource sub-network. Nodes in each sub-network and between different sub-networks were connected through special edges, which represented correlation degree information. Then an improved DSSM model was used to evaluate relevance at the semantic level between user query information and knowledge elements in hypernetwork. Correlation scores will be obtained based on relevance at the semantic level, and knowledge elements with lower scores will be removed during the process. Finally, the Bayesian method was used to calculate the knowledge recommendation probability to obtain the most relevant knowledge retrieval results. The knowledge retrieval results were sorted from high to low according to the calculated probability. A case study conducted in this work showed that the proposed approach was effective in capturing relevance at the semantic level and supporting efficient and accurate knowledge retrieval services.
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Tarca, Radu, Mihai Cornea, Ioan Tarca, and Tiberiu Vesselenyi. "Designing a Networked Telerobotic System Using Internet." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82883.

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Experimentation is a very important part of education in engineering including mechatronics engineering, which is a relatively new field, combining three engineering disciplines: mechanical engineering, electrical engineering and software engineering. The equipments needed for experiments in mechatronics are usually expensive. A solution to make these expensive equipments achievable is to share them with other universities or research centers from different locations in the world. The goal of our team is to build a networked telerobot system so that the Internet users, especially researchers and students, can be able to control an autonomous robot able to explore a dynamic environment remotely from their home and share the robot system with the department. The particularity of the environment, in this case, is that the experiment uses grid lines painted on the floor, for robot navigation purpose. The system which is still under development will be able to increase the number of robots. The communication software technologies are based on PHP. A specific protocol over IP was designed for communication between the server and clients. The aim of this project is oriented toward providing a telerobot system with a high degree of local intelligence in order to overcome restricted bandwidth and transmission delay of the network.
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Elrod, Cassandra C., Katie Grantham Lough, and Kevin Adams. "Assessing the Viability of an Interdisciplinary Design Engineering Program via a Branding Method." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87527.

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This paper presents the brand status of the Interdisciplinary Engineering (IDE) degree program at Missouri University of Science and Technology (Missouri S&T), formerly the University of Missouri-Rolla (UMR). The IDE degree was founded in 2005 at UMR to meet the emerging need to provide considerable flexibility to students allowing them to construct programs of study in areas of interest while maintaining a solid and rigorous foundation in mechanics, thermal science, electrical networks and linear systems. Students are able to pursue studying the latest technological fields through a collection of “tracks” enabled by the flexibility of the curriculum. This modern degree program houses energetic motivated students interested in a variety of disciplines from product design and amusement park fundamentals to industrial automation and control. The first students graduated the IDE program in December 2007. This facilitated the evaluation of IDE’s current brand status, preparation of its future marketing plans, and sharing these findings with other universities interested in increasing student retention and broadening their demographic of engineering students. This paper presents the brand status of the IDE BS degree among prospective and current students, academic faculty, and industry and weighs it against the original implementation plan proposed in 2005 at the inception of the program at Missouri S&T. This brand management study provides the current perception of the new degree program and suggestions improving the perception IDE has as a field of engineering.
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"DISCIPLINE AND INFRASTRUCTURES OF CONSTRUCTING SERVICE OVERLAY NETWORK." In Special Session on Service Science and Engineering. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003589605710575.

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Lozano Albalate, María Teresa, Ana Isabel Allueva-Pinilla, José Luis Alejandre-Marco,, Raquel Trillo-Lado, Sergio Ilarri-Artigas, Carlos Sánchez-Azqueta, Lorena Fuentes-Broto, Susana Bayarri-Fernández, and Concepción Aldea-Chagoyen. "Projects to encourage female students in STEM areas." In Fifth International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2019. http://dx.doi.org/10.4995/head19.2019.9474.

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Today, the number of female students that enrol in degrees related to Science, Technology, Engineering and Mathematics (STEM) areas is quite low. So, numerous initiatives have arisen to promote these degrees and encourage female students in these areas. In this context, the EuLES Network (u-Learning Environments in Higher Education), an interdisciplinary network created in 2010 at the University of Zaragoza (Spain) to foster research, interaction, cooperation and transfer of knowledge and technologies related to learning and open education, has developed two projects oriented to High School Students: “WikinformáticA! en Aragon” and “Women in STEM by EuLES”. WikinformáticA! en Aragón is a competition for student groups in which they develop a wiki on prominent women in the history of Information and Communication Technology (ICT). The objective is the visibility of women involved in technology. The purpose of the Women in STEM project is to offer testimonies of women in Science, Technology, Engineering and Mathematics to encourage scientific vocations, especially in young people and girls. The project consists of conducting video interviews of women who work or study in these disciplines. All the videos, along with a short biography, are posted on the web.
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Ashour, Marwan, and Iman Amer Hameed Dahhan. "Curve fitting optimization for French electricity exports using recurrent neural networks." In 8th International Conference on Human Interaction and Emerging Technologies. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002736.

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The recent upsurge in research activities into artificial neural networks (ANNs) has proven that neural networks have powerful pattern classification and prediction capabilities. ANNs have been successfully used for a variety of tasks in many fields of business, industry, and science. researchers and practitioners. Interest in neural networks is evident from the growth in the number of papers published in journals of diverse scientific disciplines. A search of several major databases can easily result in hundreds or even thousands of “neural networks” articles published in one year.One of the major application areas of ANNs is forecasting. There is an increasing interest in forecasting using ANNs in recent years. Forecasting has a long history, and the importance of this old subject is reflected by the diversity of its applications in different disciplines ranging from business to engineering. The ability to accurately predict the future is fundamental to many decision processes in planning, scheduling, purchasing, strategy formulation, policymaking, and supply chain operations. As such, forecasting is an area where a lot of effort has been invested in the past. Yet, it is still an important and active field of human activity at present and will continue to be in the future. Forecasting has been dominated by linear methods for many decades. Linear methods are easy to develop and implement and they are also relatively simple to understand and interpret. However, linear models have serious limitations in that they are not able to capture any nonlinear relationships in the data. The approximation of linear models to complicated nonlinear relationships is not always satisfactory. In the early 1980s, Makridakis (1982) organized a large-scale forecasting competition (often called M-competition) where a majority of commonly used linear methods were tested with more than 1,000 real-time series. The mixed results show that no single linear model is globally the best, which may be interpreted as the failure of linear modeling in accounting for a varying degree of nonlinearity that is common in real-world problems.ANNs provide a promising alternative tool for forecasters. The inherently nonlinear structure of neural networks is particularly useful for capturing the complex underlying relationship in many real-world problems. Neural networks are perhaps more versatile methods for forecasting applications in that not only can they find nonlinear structures in a problem, they can also model linear processes. For example, the capability of neural networks in modeling linear time series has been studied and confirmed by several researchers.Research efforts on neural networks as forecasting models are considerable and applications of ANNs for forecasting have been reported in many studies. Although some theoretical and empirical issues remain unsolved, the field of neural network forecasting has surely made significant progress during the last decade. It will not be surprising to see even greater advancement and success in the next decade.The purpose of this paper is to use recurrent neural networks to curve the fitting of France electricity exports annually. It is recommended that further research be undertaken in the following areas Intelligent forecasting methods are being used as an alternative to traditional forecasting methods.
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Lijing Cai, Caowei Chen, and Shuangjiang Li. "Development of discipline-oriented information resource service platform based on campus network." In 2012 7th International Conference on System of Systems Engineering (SoSE). IEEE, 2012. http://dx.doi.org/10.1109/sysose.2012.6333575.

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Li, Tingyi, Jinlin Wang, and Jiali You. "Using Degree-Based Strategy for Network Coding in Content Distribution Network." In 2008 International Conference on Computer and Electrical Engineering (ICCEE). IEEE, 2008. http://dx.doi.org/10.1109/iccee.2008.20.

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Bing Ye and Zhizhong Yang. "The degree distribution and degree correlations of the network with both preferential and random attachments." In 2010 International Conference on Future Information Technology and Management Engineering (FITME). IEEE, 2010. http://dx.doi.org/10.1109/fitme.2010.5654873.

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Reports on the topic "Degree Discipline: Network Engineering"

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Brokert, V. V., and O. N. Nazarova. Electronic tests for the current control of knowledge in the discipline "Applied Geometry and Engineering Graphics" (training direction: 160000 Aviation and rocket and space technology, the level of higher education - specialty, bachelor's degree). Science and Innovation Center Publishing House, January 2017. http://dx.doi.org/10.12731/brokertnazarova17012017.22528.

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