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proceedings of the 45th international conference on Very Large Data Bases, VLDB April 2019

Proceedings of the 45th International Conference on Very Lar...

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45th international conference on Very Large Data Bases, VLDB 2019

this proceedings contains 8 papers. the VLDB 2019 conference covers issues in data management, database and information systems research. the conference focus on the topics on data management, such as s-t reliability search over uncertain graphs, parallel graph computing, graph partition and write-back policy design for data store management. this issue also covers on advanced data analytics, including fact checking in knowledge graphs, sequence outlier pattern detection and comparison study on orderrevealing encryption schemes and secure range-query protocols. the key terms of this proceedings include augmented data stores, fact checking, parallel graph computations, dynamic scaling, TopoX, graph partitioning, query protocols, evaluation of write-back policy, s-t reliability algorithms, sequence outlier patterns. © 2018, VLDB Endowment.

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Experimental analysis of MPTCp congestion control algorithms;Lia, olia and Balia 4

Experimental analysis of MPTCp congestion control algorithms...

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4th international conference on Big Data Analytics, Data Mining and Computational Intelligence 2019, BigDaCI 2019 and the 8th international conference on theory and Practice in Modern computing 2019, TPMC 2019

作者： Kato, Toshihiko Diwakar, Adhikari Yamamoto, Ryo Ohzahata, Satoshi Suzuki, Nobuo University of Electro-Communications 1-5-1 Chofugaoka Chofu Tokyo182-8585 Japan Advanced Telecommunication Research Institute International 2-2-2 Hikaridai Seika-cho Sorakugun Kyoto619-0288 Japan Kindai University 11-6 Kashiwa-no-mori Iizuka Fukuoka820-0011 Japan

ISBN: (纸本)9789898533920

In Multipath TCP (MPTCP), the congestion control is realized by individual subflows (conventional TCP connections). However, there is some concern that the total data sending rate becomes too high compared with other single path TCPs if the associated subflows increase their own congestion windows independently. So, a coupled increase scheme of congestion windows, called Linked Increase Adaptation (LIA), is adopted as a standard congestion control algorithm for subflows comprising a MPTCP connection. But this algorithm supposes that TCP connections use Additive Increase and Multiplicative Decrease (AIMD) based congestion control, and if high speed algorithms such as CUBIC TCP are used, the throughput of MPTCP connections might be decreased. In order to increase the throughput of MPTCP connection, two modified congestion control algorithms, Opportunistic Linked-Increase Algorithm (OLIA) and Balanced Linked Adaptation (BALIA) are also introduced. However, they are still based on AIMD and there is some concern that they are weaker than high speed algorithms. this paper analyzes the performance of MPTCP congestion control algorithms through experiments. Specifically, this paper examines to compare LIA, OLIA or BALIA based MPTCP flow and a single TCP flow with TCP Reno or CUBIC TCP. these experiments show that LIA is weaker than both Reno and CUBIC, and OLIA and BALIA are weaker than CUBIC. © Multi conference on Computer Science and Information systems, MCCSIS 2019. All rights reserved.

关键词： Transmission control protocol

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2018 7th international Energy and Sustainability conference, IESC 2018

2018 7th International Energy and Sustainability Conference,...

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7th international Energy and Sustainability conference, IESC 2018

ISBN: (纸本)9781538654972

the proceedings contain 29 papers. the topics discussed include: modeling and simulation of a phasor measurement unit to analyse the grid reliability of a 110 kV grid;riding through the experience curve for solar photovoltaics systems in Germany;multi-area economic dispatch considering generation uncertainty;optimization of silicon nitride antireflective nanostructures for silicon solar cells;1 kWp-solar-home-system - a self-optimizing low-cost back-up and voltage stabilizing system for emerging countries based on photovoltaics and a battery storage;economic analysis of CHP plants in the landlord-to-tenant electricity;holistic day-ahead scheduling approach for inhomogeneous pools considering common German compensation and cost structures;combined DC/AC supply on a single distribution cable;a new web based cross energy optimization and simulation environment;spectral characterisation of high temperature solar absorber coatings;grid control with LED lamps;effects of using green waste compost as a biological pre-treatment of lignocellulosic biomass to produce bioenergy;future economic efficiency of gas distribution grids;smart home field test investigation of heating energy savings in residential buildings;and solar photovoltaic panels failures causing power losses: a review.

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Neural network information management model for a large educational complex 10

Neural network information management model for a large educ...

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Workshop on Information Technology and Scientific computing in the Framework of the 10th international conference Information and Telecommunication Technologies and Mathematical Modeling of High-Tech systems, ITTMM 2020

作者： Ponomareva, Ludmila A. Romashkova, Oxana N. Gaidamaka, Yuliya V. Department of applied Informatics Moscow City University 4 Vtoroy Selskohoziajstvenny Moscow129226 Russia Department of international information security Institute of information sciences Moscow State Linguistic University 38 Ostozhenka St. Moscow119034 Russia Department of Applied Probability and Informatics Peoples' Friendship University of Russia 6 Miklukho-Maklaya St. Moscow117198 Russia

Effective management of the national educational system is a strategically important direction for further development of the entire state [1]. Management of educational processes is the most difficult direction in the theory and practice of management because of their multiplicity and formalization [2]. In connection with the reorganization of the Russian educational system, large educational complexes (LEC) have appeared [3], which are a new structural unit in the national education system. the object of this article is the system connections and processes of functioning of a large educational complex. the subject of the research is algorithms, methods and models of rating evaluation of LEC activities for managing its effectiveness. the practical significance of the work is as follows: - new criteria for evaluating the quality of education in LEC ' individual educational programs of students are proposed;- an information model of rating evaluation of the LEC activity based on the method of integral assessment of the quality of education is proposed, which allows for reliable ranking of the main indicators not by expert means, but by calculating the value of its entropy;- the project of an information system for forming the LEC rating is proposed, which allows the management bodies to monitor the effectiveness of the educational system, carry out operational, tactical and strategic planning, and apply control actions in a timely manner to improve the efficiency of the main activity;- a neural network model is proposed for selecting the control effect on the LEC. Practical use. the obtained scientific results are of applied nature, and their application is confirmed by the results of work in Management of education of administration of Sosnovsky municipal district of the Chelyabinsk region in public-professional Association ' on the Board of Directors of the educational organizations of the city of Moscow No. 10 and GBOU School No. 1389. © 2020 Copyright for this pa

关键词： Efficiency

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7th international conference on Biomimetic and Biohybrid systems, 2018

7th International Conference on Biomimetic and Biohybrid Sys...

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7th international conference on Biomimetic and Biohybrid systems, 2018

ISBN: (纸本)9783319959719

the proceedings contain 58 papers. the special focus in this conference is on Biomimetic and Biohybrid systems. the topics include: the impact of nature inspired algorithms on biomimetic approach in architectural and urban design;spiders’ ballooning flight as a model for the exploration of hazardous atmospheric weather conditions;insect-inspired elementary motion detection embracing resistive memory and spiking neural networks;understanding interstate competitiveness and international security in european dual-use research;Neuromechanical model of rat hind limb walking with two layer CPGs and muscle synergies;a hexapod walking robot mimicking navigation strategies of desert ants cataglyphis;development and characterization of a novel biomimetic peristaltic pumping system with flexible silicone-based soft robotic ring actuators;artificial system inspired by climbing mechanism of galium aparine fabricated via 3D laser lithography;modeling the opponent’s action using control-based reinforcement learning;a nitinol-actuated worm robot bends for turning and climbing obstacles;estimating body pitch from distributed proprioception in a hexapod;emulating balance control observed in human test subjects with a neural network;active collision free closed-loop control of a biohybrid fly-robot interface;cognitive architectures on discourse;slip detection on natural objects with a biomimetic tactile sensor;distributed sensing for soft worm robot reduces slip for locomotion in confined environments;snake-like robot that can generate versatile gait patterns by using Tegotae-based control;observation of calcium wave on physical stimulus for realizing cell tactile sensor;active touch with a biomimetic 3D-printed whiskered robot;implementation of deep deterministic policy gradients for controlling dynamic bipedal walking;are brains computers, emulators or simulators?.

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Heart Disease Prediction Algorithm Based on Ensemble Learning

Heart Disease Prediction Algorithm Based on Ensemble Learnin...

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international conference on Dependable systems and their Applications (DSA)

作者： Ke Yuan Longwei Yang Yabing Huang Zheng Li School of Computer and Information Engineering Henan University International Joint Research Laboratory for Cooperative Vehicular Networks of Henan School of Computer and Information Engineering Henan University

ISBN: (数字)9780738124223

ISBN: (纸本)9781665419536

Nowadays, heart disease is one of the important causes of human deaths. According to statistics, deaths caused by heart disease account for about one-third of all deaths in the world. With further research, the use of machine learning to predict heart disease has become an essential method to prevent and treat heart disease. In recent years, machine learning based on big data analysis has been widely used in various software applications, but it has not been used on a large scale in disease prediction. In this article, we propose a new algorithm named hybrid gradient boosting decision tree with logistic regression (HGBDTLR) based on ensemble learning to improve the accuracy of machine learning in heart disease prediction. the actual results prove that the prediction accuracy of HGBDTLR algorithm can reach 91.8% in the Cleveland heart disease data set.

关键词： Heart Training Machine learning algorithms Software algorithms Big Data Prediction algorithms Diseases

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10th international conference on Advanced computing and Communication Technologies, ICACCT 2016

10th International Conference on Advanced Computing and Comm...

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10th international conference on Advanced computing and Communication Technologies, ICACCT 2016

ISBN: (纸本)9789811046025

the proceedings contain 31 papers. the special focus in this conference is on Advanced computing and Communication Technologies. the topics include: Discovering optimal patterns for forensic pattern warehouse;comparative study of scheduling algorithms in heterogeneous distributed computing systems;Knowledge reasoning for decision support (KRDS) in healthcare environment;object detection from video sequences using deep learning: An overview;A framework for improved cooperative learning algorithms with expertness (ICLAE);Bicubic interpolation based audio authentication (BIAA);hierarchical metadata-based secure data retrieval technique for healthcare application;intelligent multiple watermarking schemes for the authentication and tamper recovery of information in document image;research of access optimization of small files on basis of B + tree on hadoop;a hybrid of fireworks and harmony search algorithm for multilevel image thresholding;english to Bodo phrase-based statistical machine translation;modelling sustainable procurement: A case of Indian manufacturing firm;key author analysis in research professionals’ collaboration network based on collaborative index;localization in wireless sensor networks using invasive weed optimization based on fuzzy logic system;genetic algorithm-based heuristic for solving target coverage problem in wireless sensor networks;target coverage heuristics in wireless sensor networks;Effect of black hole attack on MANET reliability in DSR routing protocol;Noise performance and design optimization of a piezoresistive MEMS accelerometer used in a strapdown medical diagnostic system;Current mode universal filter realization employing CCIII and OTA-A minimal realization;on the design of hexagon-slotted circular fractal antenna for C band applications;An efficient single-layer crossing based 4-bit shift register using QCA.

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7th international conference on Advanced Materials and systems, ICAMS 2018

7th International Conference on Advanced Materials and Syste...

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7th international conference on Advanced Materials and systems, ICAMS 2018

the proceedings contain 95 papers. the special focus in this conference is on Advanced Materials and systems. the topics include: Investigation of the antiviral activity of ficus carica l. Latex against hsv-2;the influence of alkaline hydrolysis of wool by-products on the characteristics of keratin hydrolysates;postoperative peritoneal adhesions prophylaxy using collagen-based biomaterials;application of gamma irradiation for the functionalization of textile materials;functional finishing of textiles using bioactive agents based on natural products;tissue engineering-collagen sponge dressing for chronic wounds;antimicrobial composition for the protection of leather, furs and leather articles;diclofenac spongious matrices based on collagen and alginate for relieving injury pains;antifungal activity of origanum syriacum l. Essential oils against candida spp.;synergistic activities of hypericum perforatum l. And glabridin against drug resistant h. pylori isolates;composite scaffolds for bone regeneration made of collagen/hydroxyapatite/eucalyptus essential oil;study on the functionalized graphene modified waterborne polyurethane materials;the status of leather supply chain in egypt: An exploratory study for the innolea project;novel myco-composite material obtained with fusarium oxysporum;graphene oxide and metal particles nanocomposites for inhibition of pathogenic bacteria strains;study of wound-dressing materials based on collagen, sodium carboxymethylcellulose and silver nanoparticles used for their antibacterial activity in burn injuries;influence of the formulation and preparation technique on the flufenamic acid release from different collagenic supports designed for wound healing;new compositions with crosslinked and uncrosslinked collagen polydispersions for systemic treatments in agriculture;study regarding the development of the functional textiles with antimicrobial properties.

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2019 7th international Forum on Industrial Design

2019 7th International Forum on Industrial Design

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2019 7th international Forum on Industrial Design, IFID 2019

the proceedings contain 115 papers. the topics discussed include: a study of formal model of interactive behavior in the whole system for implicit action and context;exploring museum service experience using gamification-based personas with distinct motivations;a concept innovation on urban personal mobility;emotional experience evaluation method of interaction task based on EEG technology;discussion on the aesthetic concept of Chinese traditional culture in modern furniture design;application and research of plant landscape elements in catering space;optimal design of product culture image modeling based on FNN model and PSO algorithms;research on ideological and political teaching of product design course for industrial design major;and research and practice of express transportation service based on ecological thinking.

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Agent-based simulation model of consumer behaviour for end-of-life product flow analysis (ILS2018 international conference) 7

Agent-based simulation model of consumer behaviour for end-o...

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7th international conference on Information systems, Logistics and Supply Chain, ILS 2018

作者： Labelle, Alexandre Frayret, Jean-Marc École Polytechnique de Montréal Département de mathématiques et génie industriel Montréal Canada

this paper presents a brief overview of an agent-based simulation model for end-of-life product flow analysis in recuperation and recycling supply networks that focuses on individual consumer behaviors. the simulation results of six different scenarios are presented and compared with empirical data. Results show that the use of agent-based modeling combined with the theory of Planned Behavior can produce modular behavior models, that are intuitive and simple, to give insights on consumer-behavior-driven supply chains. Such models can be used to give insights to decision-makers and policy makers about the potential performance of end-of-life product flows strategies and further facilitate the emergence of Circular Economy. © ILS 2018 - Information systems, Logistics and Supply Chain, proceedings. All rights reserved.

关键词： Consumer behavior

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