scholarly journals Capturing the interplay of dynamics and networks through parameterizations of Laplacian operators

2016 ◽  
Vol 2 ◽  
pp. e57 ◽  
Author(s):  
Xiaoran Yan ◽  
Shang-hua Teng ◽  
Kristina Lerman ◽  
Rumi Ghosh

We study the interplay between a dynamical process and the structure of the network on which it unfolds using the parameterized Laplacian framework. This framework allows for defining and characterizing an ensemble of dynamical processes on a network beyond what the traditional Laplacian is capable of modeling. This, in turn, allows for studying the impact of the interaction between dynamics and network topology on the quality-measure of network clusters and centrality, in order to effectively identify important vertices and communities in the network. Specifically, for each dynamical process in this framework, we define a centrality measure that captures a vertex’s participation in the dynamical process on a given network and also define a function that measures the quality of every subset of vertices as a potential cluster (or community) with respect to this process. We show that the subset-quality function generalizes the traditional conductance measure for graph partitioning. We partially justify our choice of the quality function by showing that the classic Cheeger’s inequality, which relates the conductance of the best cluster in a network with a spectral quantity of its Laplacian matrix, can be extended to the parameterized Laplacian. The parameterized Laplacian framework brings under the same umbrella a surprising variety of dynamical processes and allows us to systematically compare the different perspectives they create on network structure.

2017 ◽  
Vol 21 (2) ◽  
pp. 53-61 ◽  
Author(s):  
Yunfeng Hu ◽  
Jinjin Wei ◽  
Yuanyuan Chen

AbstractThe purpose is to analyze the concentration-response relationship of salt on the rheological properties, cooking characteristic and microstructure of fresh noodle and investigate the influence rules of salt on rheological characteristics, cooking characteristics and microstructure of fresh noodle. The change rules of rheological parameters, cooking characteristics and microstructure were analyzed using the refined wheat flour as the experimental material, adding different proportion of salt (0 up to 5% weight on flour basis), making fresh noodles. Results showed that the dough formation time, stability time, the maximum tensile force and tensile range increased gradually, weakening degree and the best cooking time decreased gradually, in addition, the internal network structure was fine-meshed with the increase of salt content. But the tensile distance began to decline, the network structure became loose and the hole enlarged when adding amount surpassed 3%. Taken together, adding 3% of the salt can improve the quality of fresh noodle. Research conclusions: the right amount of salt can improve the opaque quality index and tensile properties, reduce water absorption and optimum cooking time, enhance the internal network structure; but excessive salt will reduce the tensile properties of noodles and cooking characteristics, black or even destroy the production of internal network structure.


Author(s):  
Ali Davoudian ◽  
Liu Chen ◽  
Hongwei Tu ◽  
Mengchi Liu

AbstractStreaming graph partitioning methods have recently gained attention due to their ability to scale to very large graphs with limited resources. However, many such methods do not consider workload and graph characteristics. This may degrade the performance of queries by increasing inter-node communication and computational load imbalance. Moreover, existing workload-aware methods cannot consistently provide good performance as they do not consider dynamic workloads that keep emerging in graph applications. We address these issues by proposing a novel workload-adaptive streaming partitioner named WASP, that aims to achieve low-latency and high-throughput online graph queries. As each workload typically contains frequent query patterns, WASP exploits the existing workload to capture active vertices and edges which are frequently visited and traversed, respectively. This information is used to heuristically improve the quality of partitions either by avoiding the concentration of active vertices in a few partitions proportional to their visit frequencies or by reducing the probability of the cut of active edges proportional to their traversal frequencies. In order to assess the impact of WASP on a graph store and to show how easily the approach can be plugged on top of the system, we exploit it in a distributed graph-based RDF store. Our experiments over three synthetic and real-world graph datasets and the corresponding static and dynamic query workloads show that WASP achieves a better query performance against state-of-the-art graph partitioners, especially in dynamic query workloads.


2014 ◽  
Vol 687-691 ◽  
pp. 2379-2382
Author(s):  
Chong Hui Ren ◽  
De Qiang He

The industrial Ethernet technology has been gradually applied to the high-speed train. However, different network topologies can have big impact on the quality of communication. The real-time and reliability performances of the high-speed train to which three kinds of network topology structures of the linear, the ring and the ladder are applied based on industrial Ethernet are analyzed in theory according to IEC61375(2009). Four kinds of application data are built to modify the data transmission in this paper. The three structures are simulated with the OPNET modeler. Afterwards, the network performances are compared in the simulation. At last, a conclusion that the performance of the ladder network structure is superior to that of the linear and the ring network structure is drew. The results of the study could provide the reference value of the construction and majorization of the network topology structure based on the industrial Ethernet.


2018 ◽  
Vol 3 (5) ◽  
Author(s):  
Diana Khairani Sofyan ◽  
Amri Amri

CV. Rapi Kana is a furniture company in Ule Reuleng North Aceh, the company produces cabinets, study chairs, tables, study tables and more. The chair and lecture desk is one of the most closely related factors in improving the quality of student learning. Discomfort in learning to make students less focused and tend to get tired quickly in doing tasks and lecture activities. The main cause lies on the desk used. The lesson used is less suitable for the student body size. Dissociation between study desk and student body size is one of the obstacles in the effort to improve the quality human resources. The impact of desks that arenot in accordance with body size can lead to many students experiencing fatigue. Nonconformity of the desk leads to feelings of discomfort (restlessness), lack of concentration, drowsiness, and so forth. In this case will be done research related to the design of the mini desk, where the study table produced by the company will be analyzed its shortcomings and advantages, followed by redesign for the desk. The design is adapted to the posture of the human body. The method used to start with the determination of product characteristics with Quality Function Deployment (QFD) method and also from the calculation of antropometry data so that the result of mini table design in accordance with consumer desire that is comfortable, effective and efficient.Keywords: Quality Function Deployment (QFD) method, Anthropomentry, Mini tabledesign


Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1147
Author(s):  
Ernest Jeczmionek ◽  
Piotr A. Kowalski

The rapid growth of performance in the field of neural networks has also increased their sizes. Pruning methods are getting more and more attention in order to overcome the problem of non-impactful parameters and overgrowth of neurons. In this article, the application of Global Sensitivity Analysis (GSA) methods demonstrates the impact of input variables on the model’s output variables. GSA gives the ability to mark out the least meaningful arguments and build reduction algorithms on these. Using several popular datasets, the study shows how different levels of pruning correlate to network accuracy and how levels of reduction negligibly impact accuracy. In doing so, pre- and post-reduction sizes of neural networks are compared. This paper shows how Sobol and FAST methods with common norms can largely decrease the size of a network, while keeping accuracy relatively high. On the basis of the obtained results, it is possible to create a thesis about the asymmetry between the elements removed from the network topology and the quality of the neural network.


Author(s):  
Н.А. ЧИСТОВА ◽  
А.И. ПАРАМОНОВ ◽  
А.Е. КУЧЕРЯВЫЙ

Приводятся результаты анализа влияния требований к качеству обслуживания (QoS) услуг и трафика на структуру сетей связи пятого и последующих поколений. С учетом определяющей роли сети в построении эффективной цифровой экономики вводится понятие цифрового кластера (ЦК) сети. Предложена модель, позволяющая выбрать размер ЦК сети с учетом требований к QoS абонентского трафика и распределения пользователей по территории. Модель позволяет формировать структуру сети ЦК, учитывающую различные требования и трафик пользователей. Рассмотрен метод расположения точек предоставления услуги, использующий модель для выбора размеров ЦК. Полученные результаты могут быть использованы в задачах моделирования и планирования сетей связи пятого и последующих поколений. The paper presents the results of the analysis of the impact quality of service (QoS) requirements on the structure of the communication networks of the fifth and subsequent generations. The concept of a network digital cluster is introduced. It is proposed a model that allows you to choose the size of a network digital cluster, taking into account the requirements for QoS of subscriber traffic and territory distribution of users. The model allows you to create a network structure of digital clusters, taking into account various requirements and user traffic. A method for the location of service delivery points, using the proposed model to select the sizes of digital clusters is considered. The results can be used in modeling and planning of communication networks of the fifth and subsequent generations.


2020 ◽  
Vol 29 (4) ◽  
pp. 2097-2108
Author(s):  
Robyn L. Croft ◽  
Courtney T. Byrd

Purpose The purpose of this study was to identify levels of self-compassion in adults who do and do not stutter and to determine whether self-compassion predicts the impact of stuttering on quality of life in adults who stutter. Method Participants included 140 adults who do and do not stutter matched for age and gender. All participants completed the Self-Compassion Scale. Adults who stutter also completed the Overall Assessment of the Speaker's Experience of Stuttering. Data were analyzed for self-compassion differences between and within adults who do and do not stutter and to predict self-compassion on quality of life in adults who stutter. Results Adults who do and do not stutter exhibited no significant differences in total self-compassion, regardless of participant gender. A simple linear regression of the total self-compassion score and total Overall Assessment of the Speaker's Experience of Stuttering score showed a significant, negative linear relationship of self-compassion predicting the impact of stuttering on quality of life. Conclusions Data suggest that higher levels of self-kindness, mindfulness, and social connectedness (i.e., self-compassion) are related to reduced negative reactions to stuttering, an increased participation in daily communication situations, and an improved overall quality of life. Future research should replicate current findings and identify moderators of the self-compassion–quality of life relationship.


2016 ◽  
Vol 1 (13) ◽  
pp. 162-168
Author(s):  
Pippa Hales ◽  
Corinne Mossey-Gaston

Lung cancer is one of the most commonly diagnosed cancers across Northern America and Europe. Treatment options offered are dependent on the type of cancer, the location of the tumor, the staging, and the overall health of the person. When surgery for lung cancer is offered, difficulty swallowing is a potential complication that can have several influencing factors. Surgical interaction with the recurrent laryngeal nerve (RLN) can lead to unilateral vocal cord palsy, altering swallow function and safety. Understanding whether the RLN has been preserved, damaged, or sacrificed is integral to understanding the effect on the swallow and the subsequent treatment options available. There is also the risk of post-surgical reduction of physiological reserve, which can reduce the strength and function of the swallow in addition to any surgery specific complications. As lung cancer has a limited prognosis, the clinician must also factor in the palliative phase, as this can further increase the burden of an already compromised swallow. By understanding the surgery and the implications this may have for the swallow, there is the potential to reduce the impact of post-surgical complications and so improve quality of life (QOL) for people with lung cancer.


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