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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Daneshkhah, Alireza, Amin Hosseinian-Far, Omid Chatrabgoun, Tabassom Sedighi, and Maryam Farsi. "Probabilistic Modeling of Financial Uncertainties." International Journal of Organizational and Collective Intelligence 8, no. 2 (April 2018): 1–11. http://dx.doi.org/10.4018/ijoci.2018040101.
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Since the global financial crash, one of the main trends in the financial engineering discipline has been to enhance the efficiency and flexibility of financial probabilistic risk assessments. Creditors could immensely benefit from such improvements in analysis hoping to minimise potential monetary losses. Analysis of real world financial scenarios require modeling of multiple uncertain quantities with a view to present more accurate, near future probabilistic predictions. Such predictions are essential for an informed decision making. In this article, the authors extend Bayesian Networks Pair-Copula Construction (BN-PCC) further using the minimum information vine model which results in a more flexible and efficient approach in modeling multivariate dependencies of heavy-tailed distribution and tail dependence as observed in the financial data. The authors demonstrate that the extended model based on minimum information Pair-Copula Construction (PCC) can approximate any non-Gaussian BN to any degree of approximation. The proposed method has been applied to the portfolio data derived from a Brazilian case study. The results show that the fitting of the multivariate distribution approximated using the proposed model has been improved compared to other previously published approaches.
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Xenophontos, Stavroulla, Margarita Zachariou, Pavlos Polycarpou, Elena Ioannidou, Vera Kazandjian, Maria Lagou, Anna Michaelidou, George M. Spyrou, Marios A. Cariolou, and Leonidas Phylactou. "The Cyprus Institute of Neurology and Genetics, an emerging paradigm of a gender egalitarian organisation." PLOS ONE 17, no. 9 (September 15, 2022): e0274356. http://dx.doi.org/10.1371/journal.pone.0274356.
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Females are underrepresented in the science, technology, engineering, mathematics and medicine (STEMM) disciplines globally and although progress has been made, the gender gap persists. Our aim was to explore gender parity in the context of gender representation and internal collaboration at the Cyprus Institute of Neurology and Genetics (CING), a leading national biomedical organisation accredited as an equal opportunity employer. Towards this aim we (1) explored trends in gender parity within the different departments, positions and qualifications and in student representation in the CING’s postgraduate school and, (2) investigated the degree of collaboration between male and female researchers within the Institute and the degree of influence within its co-authorship network. We recorded an over-representation of females both in the CING employees and the postgraduate students. The observed female over-representation in pooled CING employees was consistent with a similar over-representation in less senior positions and was contrasted with an observed male over-representation in only one middle rank and culminated in gender equality in the top rank in employee hierarchy. In terms of collaboration, both males and females tended to collaborate with each other without any significant preference to either inter-group or intra-group collaboration. Further comparison of the two groups with respect to their influence in the network in terms of occupying the positions of highest centrality scores, indicated that both gender and seniority level (head vs non-head) were significant in shaping the authors’ influence, with no significant difference in those belonging in the same seniority level with respect to their gender. To conclude, our study has validated the formal recognition of the CING’s policies and procedures pertinent to its egalitarian culture through the majority of the metrics of gender equality assessed in this study and has provided an extendable paradigm for evaluating gender parity in academic organizations.
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CINI, ALESSANDRO, and ANDREA GUAZZINI. "HUMAN VIRTUAL COMMUNITIES: AFFINITY AND COMMUNICATION DYNAMICS." Advances in Complex Systems 16, no. 07 (October 2013): 1350034. http://dx.doi.org/10.1142/s0219525913500343.
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The modeling of small group dynamics represents a hard challenge despite the effort of disciplines such as sociophysics and social psychology. The interaction between the complex topology of human social structures/communities and the cognitive processes characterizing humans at the microscopic level, are the focus of the classical social cognition paradigm, and it has been deeply researched in the last century. In the present study we used a web based Chat room as an experimental environment for the study of social interactions within a small group of people. The target of the present study is to explore the relations between the affinity among individual and their communication dynamics. We designed three different experimental tasks (social problem), with a crescent degree of social complexity, in order to test the impact of different social constraints on the evolution of the affinity network, as well as on the dynamics of communication. Our aim is to define the "cognitive recipes" used by the subjects to solve the required social problems. Our results show that the complexity of the social problem affects the relation between affinity and communication networks, influencing at the same time both affinity and opinion. We use the sociophysics and social cognitive models in order to interpret the results, showing the limits of the most diffused sociophysics models when aiming at forecasting the dynamics of a small group.
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Thompson, Christopher, Joseph Sanchez, Michael Smith, Judy Costello, Amrita Madabushi, Natasha Schuh-Nuhfer, Rommel Miranda, et al. "Improving Undergraduate Life Science Education for the Biosciences Workforce: Overcoming the Disconnect between Educators and Industry." CBE—Life Sciences Education 17, no. 3 (September 2018): es12. http://dx.doi.org/10.1187/cbe.18-03-0047.
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The BioHealth Capital Region (Maryland, Virginia, and Washington, DC; BHCR) is flush with colleges and universities training students in science, technology, engineering, and mathematics disciplines and has one of the most highly educated workforces in the United States. However, current educational approaches and business recruitment tactics are not drawing sufficient talent to sustain the bioscience workforce pipeline. Surveys conducted by the Mid-Atlantic Biology Research and Career Network identified a disconnect between stakeholders who are key to educating, training, and hiring college and university graduates, resulting in several impediments to workforce development in the BHCR: 1) students are underinformed or unaware of bioscience opportunities before entering college and remain so at graduation; 2) students are not job ready at the time of graduation; 3) students are mentored to pursue education beyond what is needed and are therefore overqualified (by degree) for most of the available jobs in the region; 4) undergraduate programs generally lack any focus on workforce development; and 5) few industry–academic partnerships with undergraduate institutions exist in the region. The reality is that these issues are neither surprising nor restricted to the BHCR. Recommendations are presented to facilitate improvement in the preparation of graduates for today’s bioscience industries throughout the United States.
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Eekhoff, Jeremy D., and Spencer P. Lake. "Three-dimensional computation of fibre orientation, diameter and branching in segmented image stacks of fibrous networks." Journal of The Royal Society Interface 17, no. 169 (August 2020): 20200371. http://dx.doi.org/10.1098/rsif.2020.0371.
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Fibre topography of the extracellular matrix governs local mechanical properties and cellular behaviour including migration and gene expression. While quantifying properties of the fibrous network provides valuable data that could be used across a breadth of biomedical disciplines, most available techniques are limited to two dimensions and, therefore, do not fully capture the architecture of three-dimensional (3D) tissue. The currently available 3D techniques have limited accuracy and applicability and many are restricted to a specific imaging modality. To address this need, we developed a novel fibre analysis algorithm capable of determining fibre orientation, fibre diameter and fibre branching on a voxel-wise basis in image stacks with distinct fibre populations. The accuracy of the technique is demonstrated on computer-generated phantom image stacks spanning a range of features and complexities, as well as on two-photon microscopy image stacks of elastic fibres in bovine tendon and dermis. Additionally, we propose a measure of axial spherical variance which can be used to define the degree of fibre alignment in a distribution of 3D orientations. This method provides a useful tool to quantify orientation distributions and variance on image stacks with distinguishable fibres or fibre-like structures.
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Shan, Wei, Chen Liu, and Jing Yu. "FEATURES OF THE DISCIPLINE KNOWLEDGE NETWORK: EVIDENCE FROM CHINA." Technological and Economic Development of Economy 20, no. 1 (January 28, 2014): 45–64. http://dx.doi.org/10.3846/20294913.2014.825460.
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Interdisciplinary knowledge exchange constitutes a network with discipline nodes and knowledge flow edges. Using data on Chinese academic literature, the current paper establishes a discipline knowledge network and analyses its structural features. Citation analysis is first used to measure the flow of knowledge between disciplines to build a discipline knowledge network. Subsequently, the features of the network, such as degree distribution, degree correlation, knowledge flow mode and other structure properties, are then analysed based on complex networks and social network theory. The tail of the degree distribution of this discipline knowledge network is in concordance with exponential distribution. The network has also a distinct hierarchical structure. Moreover, the knowledge flow between disciplines is directional. It flows from certain basic and academic disciplines to the applied disciplines.
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Rus-Casas, Catalina, Dolores Eliche-Quesada, Juan D. Aguilar-Peña, Gabino Jiménez-Castillo, and M. Dolores La Rubia. "The Impact of the Entrepreneurship Promotion Programs and the Social Networks on the Sustainability Entrepreneurial Motivation of Engineering Students." Sustainability 12, no. 12 (June 17, 2020): 4935. http://dx.doi.org/10.3390/su12124935.
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This paper presents the results of three academic courses in which Entrepreneurship Promotion Programs (EPP) have been developed for engineering students at the University of Jaén. This study describes the activities and how they have been promoted using the social networks Facebook and Twitter. Grytics for Analytics software was used for monitoring Facebook activity. The use of these tools has also allowed the collaborative development of the Engineering degree competencies related to sustainability and entrepreneurship through the Materials Science disciplines. The study is based on questionnaires before and after the EPP which involved a sample of 459 engineering students. The Kaiser–Meyer–Olkin test, Kolmogorov–Smirnov test and Pearson’s correlation were used. The questionnaires show which factors have the strongest influence on the intention to undertake entrepreneurial activity. Motivation (MO), personal requirements (PR), perception of the environment (PE) and the background requirements (BR) were the factors considered. The statistical study shows that PE and PR have a strong influence on MO. Finally, through the study before and after the EPP, the success of the activities and the use of social networks have been demonstrated. The results indicate that the activities of the EPP influence the perception of the environment and the motivation of the engineering students. However, the personal requirements are not affected by the activities.
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Bush, H. Francis, Vonda Walsh, Jay Sullivan, and James Squire. "The Difference In The Effects Of Longitudinal Effects Of Network Latency On STEM And Non-STEM Students." Journal of Service Science (JSS) 9, no. 1 (November 1, 2016): 1–14. http://dx.doi.org/10.19030/jss.v9i1.9829.
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As enrollment in online courses increases faster than the overall enrollments in higher education, the differences in learning styles and academic disciplines need to be identified. Further, the focus on the demand for students pursuing degrees in the sciences, technology, engineering and mathematics (STEM) has gained prominence in the past decade. An experiment was conducted to study the interaction of objective learning and subjective learning, objective learning and enjoyment, and subjective learning and enjoyment on the longitudinal effects of network latency on students who were classified as STEM majors or non-STEM majors (humanities and social sciences). The findings indicate that students from different majors responded differently by the time students have progressed to their senior year in reference to their learning styles and sensitivity to network delays than it was when they were freshmen. The study suggests that the accumulation of experience and choice of major are important factors in mitigating the effects of network delay on learning.
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Van Sumeren, Hans, Liesl Hotaling, Ed Bailey, and Jason Slade. "Ocean Technology Field Academy—Empowering Ocean Stakeholders for a Sustainable Future." Marine Technology Society Journal 55, no. 3 (May 1, 2021): 100–101. http://dx.doi.org/10.4031/mtsj.55.3.36.
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Abstract Data generated from ocean observing, or ocean-atmosphere coupled observing, permeates every facet of ocean research, ocean sustainability efforts, and the blue economy and offers workforce opportunities for all education levels. The Decade of Ocean Science for Sustainable Development and the Seabed 2030 effort will capitalize on the data availability and place a spotlight on the increased need for a workforce capable of analyzing and applying these data to generate solutions for sustainable ocean uses.Although most jobs will not require advanced degrees in engineering or science, the preparation of the 21st century ocean technology workforce demands an understanding of marine science and other disciplines, an ability to resolve complex environmental issues, and the ability to communicate complex ideas to a broad audience. Fostering these critical abilities will require a new set of learning opportunities. Developing and maintaining such a workforce will rely on innovative and flexible educational programs that break through the traditional “siloed” approach to education, while offering multiple and rapid pathways for degree and certification attainment.In response, we propose a program to prepare a workforce with the ability to utilize sensors, sensor platforms, sensor networks, crewed and uncrewed surface/underwater vehicles, sonar systems, and data processing capabilities.
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Kocaoglu, Dundar F. "Engineering Management." Industry and Higher Education 10, no. 6 (December 1996): 332–36. http://dx.doi.org/10.1177/095042229601000603.
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The number of degree-granting educational programmes under titles such as ‘Engineering Management’ and ‘Management of Technology’ is rapidly increasing throughout the world. The objective of such courses is to prepare engineers and scientists to move toward management responsibilities while maintaining identity in their technical fields. This strong growth pattern has been the key to the emergence of ‘Engineering Management’ as a discipline. It has triggered and reinforced the growth of research, publications and professional societies supporting the new discipline. This paper summarizes the results of a study conducted among the educational institutions offering degree programmes in ‘Engineering and Technology Management’ (ETM) and updates previous findings. Critical dimensions and strategic directions of engineering management education are discussed, and observations are made about the emerging research areas.
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Zhu, Wen Qing, and Liang Chen. "Multidisciplinary Collaborative Product Modeling in Distributed Network Environment." Advanced Materials Research 97-101 (March 2010): 3708–13. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.3708.
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Based on the analysis of product model characteristics of multidisciplinary collaborative design (MCD), multiple views model expressed by an extended object-oriented method is introduced to satisfy the requirements of different discipline designers for product information interaction and share. A product modeling system for multidisciplinary collaborative design is proposed, and the modeling method of discipline view model under the network environment is given, which can effectively support the evolution of product model and improve the flexibility of product modeling. The clutch is illustrated to validate the proposed methods.
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Sun, Wenyao, Youwen Tian, and Jiannan Li. "Network Coordination, Self-Regulation Mode, and Autonomous Control Space Planning of Microgrid." Mathematical Problems in Engineering 2020 (November 16, 2020): 1–16. http://dx.doi.org/10.1155/2020/9165690.
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This paper investigates the network coordination, self-regulation mode, and autonomous control spatial planning of microgrid. To do this, the cooperative self-discipline model of multi-microgrid intelligent distribution network is constructed. Based on combing the power control of multi-microgrid with high penetration situation, the concept and characteristics of distribution network and self-regulation mode are defined according to the new requirements, and the basic framework and decision-making process of self-regulation mode are put forward. Further, the formulation method of autonomous spatial planning for multi-micronetworks is described. By constructing cooperative self-discipline space scheme and its reward and punishment mechanism, the network operation behavior is restrained and guided, and the control dimension of the distribution network is reduced. Finally, a typical case is given to illustrate the effectiveness of cooperative self-discipline supervision mode in reducing the space-time dimension of distribution network supervision.
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Xiong, Xiaokun. "Representation and Construction of Discipline Knowledge Systems Based on Cognitive Sequence Relationship." International Journal of Emerging Technologies in Learning (iJET) 17, no. 24 (December 20, 2022): 174–89. http://dx.doi.org/10.3991/ijet.v17i24.35947.
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For students, it’s an important but difficult thing to form a discipline knowledge system based on the sequence of cognition, and they would need teachers’ assistance for that. Therefore, how to arrange the scattered knowledge points in a sequence that conforms to the law of cognition, construct a complete discipline knowledge system, and help students attain, familiarize, absorb, and internalize the new knowledge in a scientific way are urgent issues to be solved for educationalists. To attempt to solve these questions, in a research background that the smart education has been applied and promoted widely, this paper took the finance discipline as an example to study the representation and construction of discipline knowledge system based on cognitive sequence. At first, this paper took a Back Propagation Neural Network (BPNN) based on complex rules as the Cognitive Sequence Relationship (CSR) construction algorithm for correcting contradictions in the CSR of knowledge points in the finance discipline knowledge system, gave the structure of the model for inferring the CSR of knowledge points in the finance discipline knowledge system, and adjusted the existing logical inference rules. Then, when building the CSR for the target discipline, this paper introduced a momentum factor σ into the network model to solve problems such as network oscillation and slow convergence. After that, the established finance discipline knowledge system was corrected to ensure that the old and new knowledge in the system could keep balance, and a fragment in the finance discipline knowledge dataset was introduced as an example. At last, the effectiveness of the proposed algorithm was verified by the experimental results.
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Wang, Shudong, Xinzeng Wang, Qifang Song, and Yuanyuan Zhang. "High-Order Degree and Combined Degree in Complex Networks." Mathematical Problems in Engineering 2018 (June 27, 2018): 1–12. http://dx.doi.org/10.1155/2018/4925841.
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We define several novel centrality metrics: the high-order degree and combined degree of undirected network, the high-order out-degree and in-degree and combined out out-degree and in-degree of directed network. Those are the measurement of node importance with respect to the number of the node neighbors. We also explore those centrality metrics in the context of several best-known networks. We prove that both the degree centrality and eigenvector centrality are the special cases of the high-order degree of undirected network, and both the in-degree and PageRank algorithm without damping factor are the special cases of the high-order in-degree of directed network. Finally, we also discuss the significance of high-order out-degree of directed network. Our centrality metrics work better in distinguishing nodes than degree and reduce the computation load compared with either eigenvector centrality or PageRank algorithm.
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Altman, Eltan, and Uri Yechiali. "Polling in a Closed Network." Probability in the Engineering and Informational Sciences 8, no. 3 (July 1994): 327–43. http://dx.doi.org/10.1017/s0269964800003442.
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We consider a closed queueing network with a fixed number of customers, where a single server moves cyclically between N stations, rending service in each station according to some given discipline (Gated, Exhaustive, or the Globally Gated regime). When service of a customer (message) ends in station j, it is routed to station k with probability Pjk. We derive explicit expressions for the probability generating function and the moments of the number of customers at the various queues at polling instants and calculate the mean cycle duration and throughput for each service discipline. We then obtain the first moments of the queues' length at an arbitrary point in time. A few examples are given to illustrate the analysis. Finally, we address the problem of optimal dynamic control of the order of stations to be served.
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Wang, Hao, Xin Ning Su, and San Hong Deng. "Study on Hotspots Detection Based on CSSCI Academic Resource Ontology." Advanced Materials Research 171-172 (December 2010): 19–26. http://dx.doi.org/10.4028/www.scientific.net/amr.171-172.19.
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Cross relation and its blending degree among academic resource would be revealed through association analysis of academic resource from CSSCI. So, this paper tries to change the traditional analysis mode that using association rule mining to gain the subject relationship based on single standard, and introduces the ontology mechanism with semantic description capabilities into the knowledge organization of CSSCI academic resource for organizing all kinds of academic concepts by object-oriented approach, so that to establishes CSSCI Academic Resource Networks Model based on Ontology. On this basis, knowledge mining technique will also be adopted to detect the research hotspots of disciplines from the perspectives of high-frequency themes and themes from influential entity in disciplines, to discover the interdisciplinary hotspots so as to promote the exchange of interdisciplinary and to clear the specific direction of interdisciplinary cooperation. Upon that, all kinds of analysis conclusions and scientific laws which have academic value and could generate academic influence would be obtained to support the decision for scientific evaluation.
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Watson, Don, Manfred Krug, and Claus-Christian Carbon. "The relationship between citations and the linguistic traits of specific academic discourse communities identified by using social network analysis." Scientometrics 127, no. 4 (February 21, 2022): 1755–81. http://dx.doi.org/10.1007/s11192-022-04287-9.
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AbstractFor a research article (RA) to be accepted, not only for publication, but also by its readers, it must display proficiency in the content, methodologies and discourse conventions of its specific discipline. While numerous studies have investigated the linguistic characteristics of different research disciplines, none have utilised Social Network Analysis techniques to identify communities prior to analysing their language use. This study aims to investigate the language use of three highly specific research communities in the fields of Psychology, Physics and Sports Medicine. We were interested in how these language features are related to the total number of citations, the eigencentrality within the community and the intra-network citations of the individual RAs. Applying Biber’s Multidimensional Analysis approach, a total of 771 RA abstracts published between 2010 and 2019 were analysed. We evaluated correlations between one of three network characteristics (citations, eigencentrality and in-degree), the corpora’s dimensions and 72 individual language features. The pattern of correlations suggest that features cited by other RAs within the discourse community network are in almost all cases different from those that are cited by RAs from outside the network. This finding highlights the challenges of writing for both a discipline-specific and a wider audience.
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Merceron, Agathe, Jean-Michel Adam, Heike Ripphausen-Lipa, Petra Sauer, and Daniel Bardou. "Enhancing and integrating employability of students for IT." Contemporary Educational Researches Journal 8, no. 1 (March 12, 2018): 01–07. http://dx.doi.org/10.18844/cerj.v8i1.3227.
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The Master of ‘informatics as a second competence’ (ISC) has been created at the University of Grenoble Alpes in 1985 to teach informatics to students who have already passed a bachelor’s degree in another discipline. The challenge of such a Master’s programme is to train versatile people who will combine the skills acquired in their first discipline (acquired during their bachelor studies) with theoretical and technical skills in computer science, enabling them to create, develop and implement tomorrow’s software tools. The purpose of the PROfessional network of Master’s degrees ISC European Tempus project is to disseminate the experience of the Master programme at Grenoble and to create a network of ISC Master’s programmes in Central Asia. In this contribution, we will explain the rationale of the project and describe measures that enhance the employability of students by integrating practice in the teaching.
Keywords: Informatics as a second competence, tempus project, employability, active learning, peer instruction, reverse teaching.
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Vertrees, Daniel R. "Aednet: A single-discipline network in a multi-national setting." Journal of Technology Transfer 14, no. 3-4 (June 1989): 37–42. http://dx.doi.org/10.1007/bf02371378.
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Radulescu, Irina, and Alexandru Radulescu. "Case study concerning successful Romanian SMEs development by students education and entrepreneurial training." Journal of Research and Innovation for Sustainable Society 3, no. 1 (March 24, 2021): 18–24. http://dx.doi.org/10.33727/jriss.2021.1.3:18-24.
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The European Commission has published in 2020 the SMEs Strategy for a Sustainable and Digital Europe that aims to increase the number of SMEs engaged in sustainable business practices, as well as the SMEs number that use digital technologies. Important opportunities for SMEs can be provided by digitization, to improve the production processes efficiency and the ability to innovate products and business models, by using advanced disruptive technologies. Good management is needed for a successful SME, education and entrepreneurship training have the role of consolidating business knowledge and skills. Educational activities and skills upgrading are essential for all SMEs managers and employees. Romania is on the last place in EU, regarding SMEs number and it ranks 11th place out of 28, in terms of connectivity. Regarding the digital maturity of Romanian SMEs, the White Papers on Romanian SMEs presents their main working elements: computer, e-mail applications, internet, intranet, social networks, the company's own website, online sales / purchases transactions. The objectives of the Bachelor's degree specialization of Economic Engineering in Mechanical field and Industrial Entrepreneurship Master are students training and education, in order to be able to sustain digitization and sustainable technologies. The university curriculum and the educational disciplines offered by the Economic Engineering in Mechanical field specialization and Industrial Entrepreneurship Master is connected to the society requirements and must follow the economic trend, by educating, training and getting good specialists. Keywords: SMEs development, education, entrepreneurship
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Aveklouris, Angelos, Maria Vlasiou, Jiheng Zhang, and Bert Zwart. "Heavy-traffic approximations for a layered network with limited resources." Probability and Mathematical Statistics 37, no. 2 (May 14, 2018): 498–532. http://dx.doi.org/10.19195/0208-4147.37.2.15.
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HEAVY-TRAFFIC APPROXIMATIONS FOR A LAYERED NETWORK WITH LIMITED RESOURCESMotivated by a web-server model, we present a queueing network consisting of two layers. The first layer incorporates the arrival of customers at a network of two single-server nodes. We assume that the interarrival and the service times have general distributions. Customers are served according to their arrival order at each node and after finishing their service they can re-enter at nodes several times for another service. At the second layer, active servers act as jobs that are served by a single server working at speed one in a processor-sharing fashion. We further assume that the degree of resource sharing is limited by choice, leading to a limited processor-sharing discipline. Our main result is a diffusion approximation for the process describing the number of customers in the system. Assuming a single bottleneck node and studying the system as it approaches heavy traffic, we prove a state-space collapse property.
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Kuznia, Kevin D. "To a Higher Degree." Mechanical Engineering 130, no. 03 (March 1, 2008): 36–39. http://dx.doi.org/10.1115/1.2008-mar-4.
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This paper focuses on ways to decide which advanced course of study is the best option for the career. The paper highlights that unlike the latitude offered to MBA students, the same variety of programs will not be found in engineering. There are very few accelerated master level engineering programs, but typically, one will have the advantage of not having to take prerequisites to start the program. However, unlike an MBA, which may require engineers to take prerequisite business classes before they start the actual degree program, in a master’s program in engineering, engineers will typically be allowed to take master’s level classes immediately. The MSE is marketable, but in a unique way from an MBA. However, many individuals outside the engineering discipline will have scant knowledge of just how this degree contributes to the organization. The MBA, on the other hand, is a widely recognized degree, and many people within and outside of engineering understand how an MBA contributes to an organization’s success. Both degrees can contribute to career advancement. It is important to let others know how this advanced education contributes to the goals of the organization. Deciding to obtain an advanced degree, whether it is in engineering or business, requires a commitment of time, effort, and expense. However, more important, the right degree can make an enormous difference in career opportunities.
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Franco, Claudio, and Antonio Giustozzi. "Revolution in the Counter-Revolution: Efforts to Centralize the Taliban’s Military Leadership." Central Asian Affairs 3, no. 3 (June 28, 2016): 249–86. http://dx.doi.org/10.1163/22142290-00303003.
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Interviews with Taliban cadres and commanders challenge conventional views about the inherently fragmented character of the Taliban insurgency and about the role of the Quetta Taliban leadership in running the military organization of the Taliban. The so-called Haqqani network operated as a largely autonomous force from 2007 until 2015, as did the Peshawar Shura from 2009 onward. However, both the Haqqanis and the Peshawar Shura were able to impose a much greater degree of coherence and discipline among its ranks than the Quetta Shura was able to, at least until 2015.
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Ivanov, N. N. "The Degree of Parallelism in Generalized Stochastic Network." Automation and Remote Control 80, no. 9 (September 2019): 1694–703. http://dx.doi.org/10.1134/s0005117919090108.
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Antipova, E. S., and S. A. Rashkovskiy. "Autoassociative Hamming Neural Network." Nelineinaya Dinamika 17, no. 2 (2021): 175–93. http://dx.doi.org/10.20537/nd210204.
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An autoassociative neural network is suggested which is based on the calculation of Hamming distances, while the principle of its operation is similar to that of the Hopfield neural network. Using standard patterns as an example, we compare the efficiency of pattern recognition for the autoassociative Hamming network and the Hopfield network. It is shown that the autoassociative Hamming network successfully recognizes standard patterns with a degree of distortion up to $40\%$ and more than $60\%$, while the Hopfield network ceases to recognize the same patterns with a degree of distortion of more than $25\%$ and less than $75\%$. A scheme of the autoassociative Hamming neural network based on McCulloch – Pitts formal neurons is proposed. It is shown that the autoassociative Hamming network can be considered as a dynamical system which has attractors that correspond to the reference patterns. The Lyapunov function of this dynamical system is found and the equations of its evolution are derived.
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Ronda-Pupo, Guillermo Armando. "Knowledge map of Latin American research on management: Trends and future advancement." Social Science Information 55, no. 1 (October 26, 2015): 3–27. http://dx.doi.org/10.1177/0539018415610225.
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The objective of this article is to determine the dynamics of the evolution of management as an academic research discipline in Latin America and the Caribbean (LAC) in the past 25 years. The methodology used in the research comprises a combination of co-word analysis with Social Networks Analysis organized in a six-step procedure. First, the data retrieval was carried out; second, a list of key words related to the management discipline was created; third, a key word co-occurrence matrix and its normalization using Salton’s Cosine was done; fourth, each key word was assigned to the research line it represents, taking into consideration the 25 divisions that make up the Academy of Management Society; fifth, the internal cohesion was calculated for each research line using the density of the words network that makes it up and each line’s centrality degree; and, sixth, a strategic diagram was created representing the stage of development of each research line. The results show how the research lines Strategic Management Process and Innovation & Technology Management have formed the backbone of the development of management as an academic discipline in LAC. We also present how research lines that are necessary for the economic and social development of the region such as Entrepreneurship, Cooperative Strategy and Public Sector Management appear as peripheral underdeveloped lines. Finally, we address possible strategies for future development of the management discipline in LAC.
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Panfilova, Ekaterina V. "Skill Oriented Online Master’s Course “Neural Network Modeling of Complex Technical Systems”." ITM Web of Conferences 35 (2020): 01011. http://dx.doi.org/10.1051/itmconf/20203501011.
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In this paper we consider the application of online course “Neural Network modeling of Complex Technical Systems” in the Master’s degree programs in the field of nanotechnology and nanoengineering in Bauman Moscow State Technical University. The course has rather practical than theoretical nature. The aim of this course is skill oriented learning. Nowadays neural network models have become a powerful tool of scientific research for engineers and students. The methods studied during the study of the discipline can be applied to estimation, modeling, classification, clustering, forecasting and more. The neural networks modeling plays a significant role in Master’s education and student’s research work. Neural Networks models are successfully presented in graduation theses. Thanks to online educations students can practice at their own pace and study modern neural networks software products, methods of data preparing, designing and training neural network and then apply these algorithms in practice. According to the steps of neural network modeling algorithm the course consists of three main parts and conclusive one. In this paper course structure and study results are presented.
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Wang, Li Jun, and Lei Wen. "Model Construction and Degree Distribution of Industrial Cluster Complex Network." Advanced Materials Research 765-767 (September 2013): 1498–501. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.1498.
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Industrial cluster is a complex network composed of different enterprises in the industry chain. Based on BA and LC network, this paper designs a cluster complex network model, and analyzes its distribution characteristics. The result shows that the industrial cluster network degree obeys power-law distribution, while the size of the industrial clusters initial node can influence the degree distribution.
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Sun, Shao Hua, Zhen Dong Zhao, and Lin Hui Yang. "Disjoint Network Reliability Index Algorithm in the Application of the Power Communication Network." Advanced Materials Research 684 (April 2013): 575–78. http://dx.doi.org/10.4028/www.scientific.net/amr.684.575.
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In order to more fully and objective evaluate the reliability of the communications network, through two disjoint network reliability algorithm analysis, pointed out that the way to resolve the problem and achieve a certain degree of practical. Example to verify the correctness of algorithm, and the calculation process of the algorithm described in detail.
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Sun, Chuang, A. Khalid, H. M. Usman, A. Ahmad, M. K. Siddiqui, and S. A. Fufa. "On Neighborhood Degree-Based Topological Analysis of Polyphenylene Network." Mathematical Problems in Engineering 2022 (February 21, 2022): 1–14. http://dx.doi.org/10.1155/2022/1951226.
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Organic compounds such as polyphenylene are very important and useful for the synthesis of many new organic compounds due to their physio-chemical properties. To ascertain these properties, one can use QSPR/QSAR methods which necessitate the computation of topological indices. The topological indices based on two newly introduced abstract notions of ev-degree and ve-degree are in practice to model numerous chemical properties as well as physical properties of organic, inorganic, hybrid, and biological compounds. In this study, we computed a certain number of topological indices for the chemical graph of polyphenylene network which will help to model some of its physio-chemical properties.
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Betzel, Richard F., and Danielle S. Bassett. "Generative models for network neuroscience: prospects and promise." Journal of The Royal Society Interface 14, no. 136 (November 2017): 20170623. http://dx.doi.org/10.1098/rsif.2017.0623.
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Network neuroscience is the emerging discipline concerned with investigating the complex patterns of interconnections found in neural systems, and identifying principles with which to understand them. Within this discipline, one particularly powerful approach is network generative modelling, in which wiring rules are algorithmically implemented to produce synthetic network architectures with the same properties as observed in empirical network data. Successful models can highlight the principles by which a network is organized and potentially uncover the mechanisms by which it grows and develops. Here, we review the prospects and promise of generative models for network neuroscience. We begin with a primer on network generative models, with a discussion of compressibility and predictability, and utility in intuiting mechanisms, followed by a short history on their use in network science, broadly. We then discuss generative models in practice and application, paying particular attention to the critical need for cross-validation. Next, we review generative models of biological neural networks, both at the cellular and large-scale level, and across a variety of species including Caenorhabditis elegans , Drosophila , mouse, rat, cat, macaque and human. We offer a careful treatment of a few relevant distinctions, including differences between generative models and null models, sufficiency and redundancy, inferring and claiming mechanism, and functional and structural connectivity. We close with a discussion of future directions, outlining exciting frontiers both in empirical data collection efforts as well as in method and theory development that, together, further the utility of the generative network modelling approach for network neuroscience.
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Cohen, Erez. "Utilization Trends of the Israeli Higher Education System by Generation Z from 2015-2020." International Journal of Higher Education 11, no. 4 (January 25, 2022): 18. http://dx.doi.org/10.5430/ijhe.v11n4p18.
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This study focuses on members of Generation Z, born from the mid-1990s until the end of the first decade of the current century into a world of technology, social networks, and a culture of immediate messaging. The study seeks to examine the effect of this generation’s pragmatic outlook both in general and in the context of acquiring a higher education, on trends involving registration for undergraduate studies. The Israeli system of higher education was chosen as a case study since the rate of Israelis with a higher education is among the highest in the world. Academic studies are perceived in Israel as a crucial milestone and an essential developmental stage in the life course of many young people. Data on the distribution of students among the different disciplines shall be analyzed by correlational examination of changes in these trends in the various degree levels from 2015-2020. The research findings show that from the mid-2010s a drop is evident in the number of undergraduate students. Moreover, a conspicuous increase is evident in the number of students in the fields of medicine and allied health professions, science and mathematics, engineering and architecture, which are considered applied fields, while a decline is evident in the social sciences, the humanities, law, and business administration. These findings point to the tendency of Generation Z to practical and technological studies more than fields considered less practical. The research conclusions call for implementing several regulatory steps in order to adapt the system of higher education to the characteristics and needs of Generation Z, such as expanding the professional training program in less practical disciplines, shortening the duration of studies in technological vocational departments, increasing the use of online teaching, and others.
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Elmezain, Mahmoud, Ebtesam A. Othman, and Hani M. Ibrahim. "Temporal Degree-Degree and Closeness-Closeness: A New Centrality Metrics for Social Network Analysis." Mathematics 9, no. 22 (November 10, 2021): 2850. http://dx.doi.org/10.3390/math9222850.
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In the area of network analysis, centrality metrics play an important role in defining the “most important” actors in a social network. However, nowadays, most types of networks are dynamic, meaning their topology changes over time. The connection weights and the strengths of social links between nodes are an important concept in a social network. The new centrality measures are proposed for weighted networks, which relies on a time-ordered weighted graph model, generalized temporal degree and closeness centrality. Furthermore, two measures—Temporal Degree-Degree and Temporal Closeness-Closeness—are employed to better understand the significance of nodes in weighted dynamic networks. Our study is caried out according to real dynamic weighted networks dataset of a university-based karate club. Through extensive experiments and discussions of the proposed metrics, our analysis proves that there is an effectiveness on the impact of each node throughout social networks.
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Cui, Hongyan, Shaohua Tang, Fangfang Sun, Yue Xu, and Xiaoli Yang. "Topological Embedding Feature Based Resource Allocation in Network Virtualization." Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/271493.
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Virtualization provides a powerful way to run multiple virtual networks on a shared substrate network, which needs accurate and efficient mathematical models. Virtual network embedding is a challenge in network virtualization. In this paper, considering the degree of convergence when mapping a virtual network onto substrate network, we propose a new embedding algorithm based on topology mapping convergence-degree. Convergence-degree means the adjacent degree of virtual network’s nodes when they are mapped onto a substrate network. The contributions of our method are as below. Firstly, we map virtual nodes onto the substrate nodes with the maximum convergence-degree. The simulation results show that our proposed algorithm largely enhances the network utilization efficiency and decreases the complexity of the embedding problem. Secondly, we define the load balance rate to reflect the load balance of substrate links. The simulation results show our proposed algorithm achieves better load balance. Finally, based on the feature of star topology, we further improve our embedding algorithm and make it suitable for application in the star topology. The test result shows it gets better performance than previous works.
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CHEN, GUIHAI, and FRANCIS C. M. LAU. "SHUFFLE-RING: A NEW CONSTANT-DEGREE NETWORK." International Journal of Foundations of Computer Science 09, no. 01 (March 1998): 77–98. http://dx.doi.org/10.1142/s0129054198000088.
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The hypercube as a parallel interconnection network has been of academic and engineering concern for tens of year due to its many merits. However, its increasing node degree is an obvious weakness. Some networks such as the cube-connected cycles (CCC) and the de Bruijn network have been proposed to overcome the increasing degree of the hypercube. In this paper, we present a new cost-effective network which outperforms the cube network. It can overcome the increasing degree of cube networks while keeping the advantages of the cube network such as logarithmic diameter, easy routing, optimal fault tolerance, and suitability for the ASCEND/DESCEND class of parallel problems. Furthermore, the proposed network achieves the logarithmic diameter with a very small constant node degree, 3 or 4.
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Attrah, Nibras Habeeb, Ghassan H. Abdul-Majeed, and Mahmood Zaki Abdullah. "IMPLEMENTATION OF CHORDAL RING NETWORK TOPOLOGY TO ENHANCE THE PERFORMANCE OF WIRELESS BROADBAND NETWORK." EUREKA: Physics and Engineering, no. 2 (March 29, 2021): 11–18. http://dx.doi.org/10.21303/2461-4262.2021.001734.
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The expansion of networks involved higher jump on the users utilizing the networks resources, which may require extra higher bandwidth. Due to the development of technology especially those folded under the Internet of Things (IoT), the new demand of higher data rate is been witnesses among the users. In order to feed the demand of users with high data rate, broadband networks are required where high data rate can be ensured for each user. Broadband networks can be established using optical network that carries the data through wide broadband. Areas such as rural and forests sides which are witnessing plenty of natural obstacles such as mountains, trees, seas, etc. are forming big challenge for propagating a cable (wire) or optical network.
Due to the limitations of the wire network, World Interoperability for Microwave Access (WiMAX) technology has been introduced as substitution for the broadband network. Such kind of alternative can be deployed through any geographical area without concerning on the wire paths. WiMAX preserved large coverage area and hence it may not suffer from the signal hand-off as in the case of another wireless network. In this project, Chordal Ring network topology is implemented to enhance the performance of wireless broadband network. With different routing protocols such as Destination Sequenced Distance Vector Protocol (DSDV) and Ad hoc On Demand Distance Vector (AODV), the network performance was examined for various Chordal Ring degree (e.g. fourth degree and fifth degree). Performance metrics such as number of transmitted packets, number of received packers, delivered packet rate (PDR), total number of drop packers (DP) and average queuing delay (been measured). Finally, the obtained results had been shown that fifth-degree Chordal Ring network is outperforming through DSDV routing protocol
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Onus, Melih, and Andréa W. Richa. "Minimum Maximum-Degree Publish–Subscribe Overlay Network Design." IEEE/ACM Transactions on Networking 19, no. 5 (October 2011): 1331–43. http://dx.doi.org/10.1109/tnet.2011.2144999.
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Zheng, Yi, Yongsong Wei, and Shaoyuan Li. "Coupling Degree Clustering-Based Distributed Model Predictive Control Network Design." IEEE Transactions on Automation Science and Engineering 15, no. 4 (October 2018): 1749–58. http://dx.doi.org/10.1109/tase.2017.2780444.
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Gao, He, and Zhi Yong Zhang. "Research on Planning Method of Frontier Regional Road Network." Advanced Materials Research 243-249 (May 2011): 4339–46. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.4339.
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The research on planning method of the frontier regional road network can be a good method to solve the pressure of border highway network, which comes from the transportation demand of combat readiness. Based on the traditional traffic demand forecasting method of "the four stages", combined with the characteristics of the frontier regional traffic demand, this paper establishes the forecasting models for tactical and strategic traffic demand. According to the militarization of the frontier regional road network, the concept of military importance degree is proposed, and the node importance degree model of highway network is improved. Moreover, the best-scale method and gradual-adjustment method are selected as the optimization of the frontier regional road network planning. Finally, the traffic demand forecast, the node important degree calculation and the optimization of road network layout are studied, which are based on the simulation of the frontier regional road network, and the planning model’s validity of the frontier regional road network is examined.
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Zhang, Jia Jia, Chang Long Du, Song Yong Liu, and Hao Jiang. "Study on the Distribution Law of the Crashed Coal Fragmentation." Advanced Materials Research 189-193 (February 2011): 1834–39. http://dx.doi.org/10.4028/www.scientific.net/amr.189-193.1834.
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In order to find the distribution law of coal fragmentation, mathematic model of size distribution was built according to fractal theory. Based on this, the experiments of impactive crash were carried out under different impact rate and different Protodikonov's hardness. The comparison between Weibull distribution and fractal distribution was done so as to find the relationship between the influence parameters and the coal fragmentation characteristic index, the coal fragmentation degree coefficient and the fractal dimension. The results indicate that both two types of distribution functions are suitable for the distribution discipline of coal fragmentation, but the relationship of the coal fragmentation degree and impact parameter is not reacted correctly by the coal fragmentation characteristic index and coal fragmentation degree coefficient in the Weibull distribution while the coal fragmentation degree could be expressed by the fractal dimension in fractal distribution. The relationships between the fractal dimension and the rate, the Protodikonov's hardness of coal are linear.