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35th International conference on Software Engineering and Knowledge Engineering, SEKE 2023

作者： Wang, Li-E Zeng, Huachang Li, Shenghan Li, Xianxian Zhuo, Shengda Xie, Jiahua Qu, Bin Sun, Zhigang Liu, Tianran School of Computer Science and Engineering Guangxi Normal University Guilin China Guangxi Key Lab of Multi-source Information Mining Security Guangxi Normal University Guilin China Key Lab of Education Blockchain and Intelligent Technology Ministry of Education Guangxi Normal University Guilin China College of Cyber Security of Jinan University Jinan University Guangzhou China School of Information Science and Engineering Yunnan University Kunming China

Knowledge graph (KG) as auxiliary information can solve the cold-start and data sparsity problems of recommender systems. However, most existing KG-based recommendation methods focus on how to effectively encode items with that users have interacted into entities and propagate them explicitly, but neglect the relation-level and context-level modeling of collaborative signals. Therefore, it is inevitable to incorporate some unrelated entities while utilizing a propagation strategy, which may weaken part of the recommendation performance. To address this problem, we propose a novel method named Collaborative Relation Context Consistency (CRCC). Compared with other KG-based methods, we model the relation-level and context-level of collaborative signals in a fine-grained manner. Specifically, we segment the user’s collaborative knowledge graph to learn related entity information separately to enrich the embedding of users. Moreover, CRCC links the consistency score between the items that users and neighbors have interacted with as the fusion basis, and then we consider the inherent popularity of items while incorporating consistent entities to enhance the embedding representation of items. Extensive experiments on three real-world datasets show that CRCC outperforms several compelling baselines in both CTR prediction and top-K recommendation. © 2023 Knowledge Systems Institute Graduate School. All rights reserved.

关键词： Recommender systems

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Labor in post-industrial society: A reading of drucker and de masi theories 24

Labor in post-industrial society: A reading of drucker and d...

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24th International Association for Management of technology conference: technology, innovation and Management for Sustainable Growth, IAMOT 2015

作者： Picinin, Claudia Tania De Fátima Stankowitz, Rosângela Proni, Marcelo Weishaupt Pedroso, Bruno Rasoto, Vanessa Ishikawa Federal University of Technology - Paraná Department of Production Engineering Brazil State University of Campinas - São Paulo Institute of Economics Brazil State University of Ponta Grossa Department of Physical Education Paraná Brazil Federal University of Technology - Paraná Rectory Office Brazil

ISBN: (纸本)9781775921110

The post-industrial society (for De Masi, 1999) refers to the period in which the dissemination of knowledge was essential for competitiveness in organizations. The aim of the paper is to compare the work of post-industrial society through the theories of Drucker and De Masi. The research is descriptive analytical approach, justified by the published literature. There was a systematic review to compare the works of Drucker (1999a) "The post-capitalist society" and De Masi (1999) "The future of work: fatigue and leisure in post-industrial society" to establish the similarities and differences. Drucker and De Masi formulated their theories about the same time (in the late twentieth century). Works converge as in the description of the knowledge society, both deal with the transition from capitalist society is stimulated for a new configuration in the production of knowledge. Drucker (1999a) describes the historical evolution of the events changed significantly as relations of production and capitalist work a decentralized production, specialization of labor and government coercion. Already, De Masi (1999) emphasizes the science and technology engines of development of knowledge society, and the knowledge revolution, the revolution of the scientific method. At this stage, there is a concern with the nature of organizations and the social. We conclude that, despite addressing the same social event, De Masi and Drucker differ as to work in the post-industrial society. Drucker emphasizes the evolution of industrial society to post-industrial society based on the despotism of capital (predominance of skilled labor) and knowledge as a main driver of change. The economy is based on government restructuring and permanent supply of skilled labor to follow technical and organizational innovations. For De Masi, the same transition was driven by the evolution of technology and the free time to technical progress, inducing workers to produce creatively to meet the market demand dr

关键词： Competition

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1st Chinese conference on computer Vision, CCCV 2015

1st Chinese Conference on Computer Vision, CCCV 2015

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1st Chinese conference on computer Vision, CCCV 2015

ISBN: (纸本)9783662485699

The proceedings contain 44 papers. The special focus in this conference is on computer Vision. The topics include: Directional segmentation based on shear transform and shape features for road centerlines extraction from high resolution images;sparse representation with regularization term for face recognition;salient region detection by region color contrast and connectivity prior;simultaneously retargeting and super-resolution for stereoscopic video;local variation joint representation for face recognition with single sample per person;multi-view sparse embedding analysis based image feature extraction and classification;automatic image semantic annotation based on the tourism domain ontological knowledge base;triple online boosting training for fast object detection;structured regularized robust coding for face recognition;research and application of moving target tracking based on multi-innovation kalman filter algorithm;visual tracking via structure rearrangement and multi-scale block appearance model;convolutional neural networks for clothes categories;multi-object segmentation for abdominal CT image based on visual patch classification;improved 3D local feature descriptor based on rotational projection statistics and depth information;pedestrian tracking in infrared image sequence based on spatio-temporal slice trajectory analysis;exploring deep gradient information for face recognition;a novel dynamic character grouping approach based on the consistency constraints;a digital video stabilization system based on reliable SIFT feature matching and adaptive low-pass filtering;a tree-structured feature matching algorithm;crack detection in tread area based on analysis of multi-scale singular area and multiple scaled person re-identification framework for HD video surveillance application.

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Image compression based on genetic algorithm and deep neural network 11th

Image compression based on genetic algorithm and deep neural...

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11th International conference on Bio-inspired Computing – Theories and Applications, BIC-TA 2016

作者： Deng, Haisheng Liu, Hongying Wang, Feixiang Wang, Zhi Wang, Yikai Xijing University Xi’an710123 China Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xidian University Xi’an710071 China Shaanxi Electrical Apparatus Research Institute Xi’an710025 China

ISBN: (纸本)9789811036101

In conventional image compression algorithms, a high compression ratio can be obtained but at the cost of loss of details. In this paper, a new image compression algorithm is proposed. It is based on recently established deep learning model: deep auto encoder (DAE). We adopt the genetic algorithm to find optimal initial network weights to construct a DAE with multiple hidden layers for image compression. With the optimized network, the essential information from the input image can be extracted and represented. Experiments on typical images show that the proposed algorithm obtains higher Peak Signal to Noise Ratio (PSNR), and superior image quality is preserved at both low and high compression ratio compared with the existing algorithms. © Springer Nature Singapore Pte Ltd. 2016.

关键词： Deep neural networks

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3rd International conference on E-Learning, E-education, and Online Training, eLEOT 2016

3rd International Conference on E-Learning, E-Education, and...

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3rd International conference on E-Learning, E-education, and Online Training, eLEOT 2016

ISBN: (纸本)9783319496245

The proceedings contain 25 papers. The special focus in this conference is on General Track, Online Track and Student Track. The topics include: A social metric approach to e learning evaluation in education;active learning and ICT in upper secondary school;an approach to development of practical exercises of MOOCs based on standard design forms and technologies;creating inspiring learning environments by means of digital technologies;a case study of the effectiveness of whatsapp in music education;digital competence and capability frameworks in the context of learning, self-development and he pedagogy;holographic signing avatars for deaf education;how to apply gamification techniques to design a gaming environment for algebra concepts;intelligent tutoring systems;online distance education materials and accessibility: case study of university college of estate management;blends of technology beyond the university to support social interaction and social participation in learning;teaching syllogistics using e learning tools;the effective of learning by augmented reality on android platform;the use of physical artefacts in undergraduate computer science teaching;validation of course ontology elements for automatic question generation;fostering collective creativity;e-learning authoring tool for reusing web multimedia resources;private cloud with e-learning for resources sharing in university environment;research and trends in the studies of collective intelligence from 2012 to 2015;comparative study of the mobile learning architectures and social microlearning motivates learners to pursue higher-level cognitive objectives.

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Temporal Pattern-Aware QoS Prediction with Privacy-Preserving via Federated Learning Based on Latent Factorization of Tensors

Temporal Pattern-Aware QoS Prediction with Privacy-Preservin...

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2024 IEEE International conference on Systems, Man, and Cybernetics, SMC 2024

作者： Zhong, Shuai Tang, Zetong Wu, Di The College of Computer and Information Science Southwest University Chongqing400715 China

ISBN: (纸本)9781665410205

In applications related to big data and service computing, dynamic connections tend to be encountered, especially the dynamic data of user-perspective quality-of-service (QoS) in Web services. They are transformed into high-dimensional and incomplete (HDI) tensors which include abundant temporal pattern information. Latent factorization of tensors (LFT) is an extremely efficient and typical approach for extracting such patterns from an HDI tensor. However, current LFT models require the QoS data to be maintained in a central place (e.g., a central server), which is impossible for increasingly privacy-sensitive users. To address this problem, this article creatively designs a federated learning based on latent factorization of tensors (FL-LFT). It builds a data-density-oriented federated learning model to enable isolated users to collaboratively train a global LFT model while protecting users' privacy. Extensive experiments on a QoS dataset collected from the real world verify that FL-LFT shows a remarkable increase in prediction accuracy when compared to state-of-the-art federated learning (FL) approaches. © 2024 IEEE.

关键词： Differential privacy

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Moisture sorption isotherm and thermodynamic property of Litopenaeus vannamei 3rd

Moisture sorption isotherm and thermodynamic property of Lit...

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3rd Annual International conference on Material science and Engineering, ICMSE 2015

作者： Cao, W.H. Tian, S. Zhang, C.H. Guangdong Provincial Key Laboratory of Aquatic Product Processing and Safety ZhanjiangGuangdong Province China Key Laboratory of Advanced Processing of Aquatic Products of Guangdong Higher Education Institution ZhanjiangGuangdong Province China College of Food Science and Technology Guangdong Ocean University ZhanjiangGuangdong Province China

ISBN: (纸本)9781138029361

Moisture contents, water activity, freezing point and heat melting enthalpy were determined to research the relationship between the frozen water and unfrozen water of Litopenaeus vannamei. Modeling of the isotherms was done using the GAB (Guggenheim-Anderson-de Boer) model and the BET (Brunauer-Emmett-Teller) model. The results showed that the GAB model had a better fit quality than the BET model in the whole period. The determination coefficient was 0.98 and 0.90 when the water activity was observed between 0.40 and 0.90, respectively. The monolayer moisture contents calculated by the BET model and the GAB model were 0.0532 and 0.0868 g g−1 on the dry basis, respectively. There was a linear relationship between the frozen water and the melting enthalpy. When the moisture content was 74.8%, the freezing point was −4.49°C. A linear relationship between the unfrozen moisture content and the hot melting enthalpy was also observed. The unfrozen moisture content was 11.1% in L. vannamei when the melting enthalpy was zero. © 2016 Taylor & Francis Group, London.

关键词： Moisture

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Unconditional Secure Topology-hiding Broadcast Via Shamir's Secret Sharing 9

Unconditional Secure Topology-hiding Broadcast Via Shamir's ...

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9th IEEE Data Driven Control and Learning Systems conference, DDCLS 2020

作者： Mi, Bo Wu, Bingqing Kuang, Fengtian Darong, Huang Wu, Shijie Lin, Mengting Chongqing Jiaotong University Academy of Information Science and Engineering Chongqing400074 China Unit 78156 Chinese People's Liberation Army China

ISBN: (纸本)9781728159225

Secure Multi-Party Computation is a hot topic in recent years. However, though Secure Multi-Party Computation allows each participant to calculate without making their information known to other nodes, the underlying topology of their network is prone to exposure. Inspired by Tal Moran, Bo Mi et al. designed a broadcast protocol based on NTRUEcrypt, which realized topology-hiding but relying on a third party. In view of this shortcoming, we proposed a topology-hiding broadcast protocol based on Shamir's Secret Sharing scheme with self-adaptive paradigm. Security and performance analyses demonstrated that our scheme is unconditional secure and computationally light-weighted. © 2020 IEEE.

关键词： Topology

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CloudMPL: A domain specific language for describing management policies for an autonomic cloud infrastructure 5

CloudMPL: A domain specific language for describing manageme...

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5th International conference on Cloud Computing and Services science, CLOSER 2015

作者： Alansari, Marwah M. Almeida, Andre Bencomo, Nelly Bordbar, Behzad School of Computer Science University of Birmingham Birmingham United Kingdom Federal Institute of Science of Education Science and Technology Parnamirim Brazil School of Computer Science Aston University Birmingham United Kingdom

ISBN: (纸本)9789897581045

To benefit from the advantages that Cloud Computing brings to the IT industry, management policies must be implemented as a part of the operation of the Cloud. Among others, for example, the specification of policies can be used for the management of energy to reduce the cost of running the IT system or also for security policies while handling privacy issues of users. As cloud platforms are large, manual enforcement of policies is not scalable. Hence, autonomic approaches for management policies have recently received a considerable attention. These approaches allow specification of rules that are executed via rule-engines. The process of rules creation starts by the interpretation of the policies drafted by high-rank managers. Then, technical IT staff translate such policies to operational activities to implement them. Such process can start from a textual declarative description and after numerous steps terminates in a set of rules to be executed on a rule engine. To simplify the steps and to bridge the considerable gap between the declarative policies and executable rules, we propose a domain-specific language called CloudMPL. We also design a method of automated transformation of the rules captured in CloudMPL to the popular rule-engine Drools. As the policies are changed over time, code generation will reduce the time required for the implementation of the policies. In addition, using a declarative language for writing the specifications is expected to make the authoring of rules easier. We demonstrate the use of the CloudMPL language into a running example extracted from a management energy consumption case study.

关键词： Energy utilization

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Distributed algorithms visualization for educational purposes

Poceedings of the Conference on Integrating Technology into ...

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Poceedings of the conference on Integrating technology into computer science education, ITiCSE 1999年 103-106页

作者： Koldehofe, Boris Papatriantafilou, Marina Tsigas, Philippas Universitaet des Saarlandes Saarbruecken Germany

We present our work on building interactive continuous visualizations of distributed algorithms for educational purposes. The animations are comprised by a set of visualization windows. The visualization windows are designed so that the demonstrate i) the different behaviours of the algorithms while running in different systems, ii) the different behaviours that the algorithms exhibit under different timing and workload of the system iii) the time and space complexities of the algorithms and iv) the `key ideas' of the functionality of the algorithms. Visualizations have been written for a set of 10 algorithms that are tought in a Distributed Algorithms advanced undergraduate course.

关键词： computer aided instruction

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