CCF推荐 | SCI期刊专刊信息6条

图形学与多媒体

Computer Aided Geometric Design

Call for Papers on Special Issue “Generalized Barycentric Coordinates”

全文截稿: 2019-03-15

影响因子: 1.522

CCF分类: B类

中科院JCR分区:

  • 大类 : 工程技术 - 4区

  • 小类 : 计算机：软件工程 - 3区

  • 小类 : 应用数学 - 3区

网址: http://www.journals.elsevier.com/computer-aided-geometric-design

Theme 

Interpolating discrete data with continuous functions in one or more variables is a fundamental problem in diverse fields of science and engineering. Barycentric coordinates, which were introduced by Möbius in 1827, provide a convenient way to linearly interpolate data prescribed at the vertices of ann-dimensional simplex. This kind of barycentric interpola­tion is widely used, for example, in computer graphics, and the interpolating barycentric basis functions can be adopted as trial and test functions in finite and boundary element methods. The ideas of barycentric coordinates and barycen­tric interpolation have been extended in recent years to gen­eralized barycentric coordinates for arbitrary polygons in the plane and general polytopes in higher dimensions, which in turn has led to novel solutions in applications like mesh par­ametrization, image warping, mesh deformation, as well as solving PDEs with finite and boundary element methods. 

Topics 

This special issue is dedicated to recent developments of generalized barycentric coordinates, covering new construc­tions, theoretic insights, and applications in the context of geometric design and processing, computer graphics, com­putational mechanics, and related research fields. The list of suggested topics includes, but is not limited to: 

theoretical and numerical analysis 

barycentric and transfinite interpolation 

barycentric mappings 

discrete differential geometry 

mesh parameterization 

shape deformation and free-form modeling 

finite element and boundary element methods on polytopal meshes 

meshfree coordinates 

applications in computer graphics and geometry processing 

applications in computational geometry 

applications in computational solid and fluid mechanics

信息安全及密码学

Computer Law & Security Review

Platform Values: Conflicting Rights, Artificial Intelligence and Tax Avoidance

全文截稿: 2019-04-10

影响因子: 0.0

CCF分类: C类

网址: http://www.journals.elsevier.com/computer-law-and-security-review/

Purpose: 

The purpose of this call is to gather a diverse range of analytical perspectives on the multiform notion of platform values. The special issue resulting from this call will be presented in a dedicated workshop at the IGF 2019, hosted by the Government of Germany in Berlin from 25 to 29 November 2019. To guarantee that authors receive the most extensive feedback on their contributions, an additional workshop for feedback and paper discussion will be hosted at FGV Law School, in Rio de Janeiro, Brazil, on 27 July 2019 (see the timeframe at the bottom of this call). The authors of the papers selected after the first round of reviews will be invited to come – at their own expenses – to present their draft papers at the workshop. 

Description: 

Platform regulations are having enormous impact on the lives of several billion individuals, and this impact is poised to increase over the next decade. This special issue aims at exploring three of the most crucial points of contention with regard to values underlying the operation of digital platforms: the dispute resolution mechanisms they design and the ways such mechanisms are structured to deal with conflicting rights and principles; the values that can or should be baked into platforms’ automated decision-making and the rights of appropriation in relation to the development of artificial intelligent systems; and the tax avoidance strategies that are frequently pursued by tech giants to minimise their fiscal responsibility across the multiple jurisdictions in which they provide their services. 

This Call for Papers celebrates five years of activities of the UN IGF Coalition on Platform Responsibility1. Over the first years of activity, the Coalition has explored the role of digital platforms as gateways to speech, innovation and value creation; it has highlighted that their ascendance as central elements of our society, economy, and public sphere is redefining the concepts of “private” and “public”, and challenging conventional approaches to regulation and governance. Along those lines, this Call for Papers starts from the consideration that, to guarantee the balance and sustainability of governance systems, the exercise of power should be constrained. To do so, a deliberative process over the aims, mechanisms and boundaries of regulation is needed. Accordingly, when private entities rise to the level of quasi-sovereigns or private regulators, it is natural to expect discussion, shared understanding and scrutiny of the choices and trade-offs embedded in their private ordering. Yet, there is little discussion of the ways in which platforms are generating, shaping and championing values in an increasingly intermediated society. 

More work is needed to question and enquire what counts as value and how value judgment ought to be made in these hybrid spaces, exploring the elements that should underpin legal and policy-making initiatives, and the risks that may occur when decision-making remains in the sole province of contractual and self-regulation. Contributions to this work should enquire whether it is appropriate for deliberations over platform values and user rights to be exclusively driven by the economic imperatives of shareholders, and whether they should not also take into account the broader set of concerns and expectations of the stakeholders affected by platform regulations. 

In this perspective, we call for papers providing analyses and putting forward concrete solutions and policy proposals with regard to platform values. This call is therefore aimed at papers analysing conflicting rights, artificial intelligence systems and tax avoidance strategies with regard to digital platforms. Particularly, the call targets analyses regarding: 

1. Conflicting rights. 

The first set of governance questions pertain to the intersection of conflicting rights and values: should platforms prioritise certain rights or principles over others? Are they best-placed to identify which rights should be privileged when - privately - regulating social interactions? How should such balancing be conducted between conflicting rights of the same nature, for example between conflicting economic freedoms or conflicting fundamental human rights? What is the relevance of the sources of those rights, for instance in conflicts between rights enshrined in terms of service and diverging conceptions of those rights under the “law of the land”? Should principles, community guidelines and rules of practice (including internal precedents) be weighed any differently as part of balancing? Should balancing be ruled out for certain conflicts? 

2. Artificial intelligence. 

This second set of questions can be seen as twofold. On the one hand, it relates to value appropriation, in particular in the scramble for data and insights that can be extracted from it to power a new breed of artificial intelligence applications. Since data is a key input for the improvement of algorithms, profiling, and the elaboration of new cognitive services, should data subjects and other players in the platform ecosystems share in the value generated by their marginal input? Should platforms be the only beneficiaries of this learning process, or should the law constrain their ability to exclude others (including consumers, workers, competitors and complementors) from sharing in the benefits generated by the platform ecosystem? On the other hand, the development and implementation of artificial intelligence systems to automatise decision-making functions calls into question the values that should be “baked” into such systems in order to minimise negative consequences and strive towards the design and development of ethical automated systems. In this respect, what are the fundamental values that should orientate the design, development and deployment of artificial intelligence within platforms? How can those values be appropriately incorporated into artificial intelligence solutions implemented within platforms? Are the principles of transparency, non-discrimination and due process sufficient to prevent unfair value extraction, or do we need stronger intervention? 

3. Tax avoidance. 

Finally, it is necessary to appreciate whether platforms provide long-term value with their functionalities (for example, bringing together different sides) or rather primarily engage in value extraction (for instance, limiting choice and deriving advantages in favouring certain kinds of behaviors or business models) and regulatory arbitrage. Defining how and where the value is created is crucial in determining the tax regime that is applicable to their activities, and in identifying unfair or fraudulent transfers of wealth. How should value be constructed for tax purposes, and how should regulators around the world deal with global tech giants? Are recent legislative initiatives on digital VAT marking the beginning of an inevitable race to the bottom to attract investment by global platforms, or do they set the foundations for interstate cooperation? Are existing reflections, such as the OECD’s works on transfer pricing and Base Erosion and Profit-Shifting sufficiently mature to be implemented by states? And, most importantly, are states willing and able to implement existing proposals?Is a national or local tax on intermediaries for data collection and aggregation a viable way to account for the transfer of value that takes place between users and platforms?

图形学与多媒体

Computers & Graphics

Special Computers Graphics Section of the SIBGRAPI 2019 – Conference on Graphics, Patterns and Images

全文截稿: 2019-04-15

影响因子: 1.2

CCF分类: C类

中科院JCR分区:

  • 大类 : 工程技术 - 4区

  • 小类 : 计算机：软件工程 - 4区

网址: http://www.journals.elsevier.com/computers-and-graphics

SIBGRAPI 2019 – Conference on Graphics, Patterns and Images – is the 32nd edition of this conference annually promoted by the Brazilian Computer Society (SBC) through its special interest group on Graphics and Image Processing (CEGRAPI). The conference started in 1988 as a small symposium and has grown in importance each year. 

This year, SIBGRAPI has an alternative track for paper submission to a special section of the Elsevier Computers & Graphics Journal, with its own set of deadlines. We invite technical paper contributions to this SIBGRAPI 2019 C&G Journal Track for papers related to research and applications of computer graphics techniques. All papers accepted in this track are scheduled for oral presentation at the event. 

数据库管理与信息检索

Information Sciences

Special Issue on Secure Data Science and Big Knowledge

全文截稿: 2019-05-01

影响因子: 4.305

CCF分类: B类

中科院JCR分区:

  • 大类 : 工程技术 - 2区

  • 小类 : 计算机：信息系统 - 1区

网址: http://www.journals.elsevier.com/information-sciences/

1. Significance and Description 

Massive growths in data storage, communication, and processing technologies have ushered in the era of big data. Big data sources, such as smart vehicles, IoT devices, and sensor networks, differ from traditional data sources in both output volume and variety. It is therefore a non-trivial task to integrate these fragmented data into useful knowledge. Big Knowledge has emerged as a systematic approach to extract knowledge and value from big data. It aims to discover complex and evolving relationships among data entities. Although Big Knowledge has received considerable attention from researchers in recent years, many fundamental issues are still not fully understood. One aspect that urgently needs resolving is data security. Security is a multifaceted problem that has different meaning for different entities. Users who generate data wish to protect their privacy, and data servers need to defend themselves against data forgery, tampering, and leakage. While Big Knowledge is a promising method to translate big data into value, we must overcome these challenges to make it better serve us. 

This special issue aims to gather recent advances in Big Knowledge and its security problems. We welcome researchers to discuss various aspects of big data privacy, integrity, and knowledge extraction. We encourage researchers to innovate new solutions to the key problems in this emerging field. In general, we do not accept survey papers. 

2. Topics 

Topics include but are not limited to: 

Applications of machine learning in big data processing 

Real time Big Knowledge extraction and updating methods 

Applications of Big Knowledge 

Privacy preserving methods in Big Knowledge mining 

Novel protocols for secure big data communication 

Privacy-aware data collection and storage methods 

Side-channel attacks to big data servers 

Big data integrity verification with blockchain and other techniques 

Secure big data computing based on homomorphic encryption and other emerging cryptography techniques

计算机体系结构,并行与分布式计算

Integration, the VLSI Journal

Special Issue on 2019 China Semiconductor Technology International Conference (CSTIC) Symposium on Design and Automation of Circuits and Systems

全文截稿: 2019-05-01

影响因子: 0.906

CCF分类: C类

中科院JCR分区:

  • 大类 : 工程技术 - 4区

  • 小类 : 计算机：硬件 - 4区

  • 小类 : 工程：电子与电气 - 4区

网址: https://www.journals.elsevier.com/integration

Introduction:The 2019 China Semiconductor Technology International Conference (CSTIC’2019) will take place on Mar. 18-19, 2019, in Shanghai, China, in conjunction with SEMICON China 2019. CSTIC is one of the largest and the most comprehensive annual semiconductor technology conferences in China and the world since 2000. It is organized by SEMI and IEEE-EDS and co-organized by IMEC and ICMTIA (The Integrated Circuit Materials Industry Technology Innovation Alliance). The proceedings of CSTIC 2019 will be published by IEEE.CSTIC 2019 Symposium IX “Design and Automation of Circuits and Systems” focuses on topics such as electronic design automation (EDA), AI chip design, FPGA, emerging technologies, etc. This special issue aims at publishing extended versions of top ranked papers in Symposium IX of CSTIC 2019. 

Scope:The traditional scope of this symposium has mainly been about and around the circuit, system, and integration optimized for highest performance at lowest power consumption. However, meanwhile, with the wide application of AI technologies, self-driving cars, etc, edge computing and learning capability have become extremely important. AI applications and 5G communication infrastructures have become a major driving force of local and global economies. However, existing hardware solutions and EDA techniques can merely address the many challenges emerged in this trend. It is imperative to think beyond current solutions and provide novel insight into topics including but not limited to: 

EDA techniques for nanometer IC design 

Design automation of circuits and systems 

Design and technology co-optimization 

Emerging technologies for post-Moore’s law ICs 

Computing-in-memory technologies and design automation 

Circuits and systems for AI and edge computing

计算机体系结构,并行与分布式计算

Journal of Parallel and Distributed Computing

Advances in Parallel Programming: Languages, Models and Algorithms

全文截稿: 2019-05-01

影响因子: 1.815

CCF分类: B类

中科院JCR分区:

  • 大类 : 工程技术 - 3区

  • 小类 : 计算机：理论方法 - 3区

网址: http://www.journals.elsevier.com/journal-of-parallel-and-distributed-computing/

Parallelism becomes ubiquitous. It is available in many ways, including multicore processors, GPUs, co-processors, and many-core processors. These hardware emerging trends impose demanding challenges on modern parallel programming languages, models and algorithms. Hence, there is a need for high-level parallel programming paradigms that address all these forms of hardware parallelism in a manner that is abstract enough, user-friendly, ease of learning, scalable and performance portable. This special issue aims to present new developments in programming homogenous and heterogeneous parallel systems. It focuses on language-based parallel programming such as OpenMP, Python, Microsoft .NET parallel extensions (TPL and PPL), Java parallel extensions, PGAS languages, and GPGPU language-based programming models such as CUDA, OpenCL and OpenACC. Contributions on other high-level programming models and supportive environments for parallel and distributed systems are equally welcome. 

This special issue seeks high quality contributions in the field of High-level Parallel Programming. The authors of the best articles of PPAM-WLPP 2019 workshop selected by the program committee and the guest editors will be invited to submit extended versions of their work to this special issue. The submission should contain at least 30% of new content. Papers not presented at the workshop but that contribute to the High-level Parallel Programming area are also welcome. Submissions will be reviewed by the program committee members of the PPAM-WLPP 2019 workshop and other reviewers. 

Topics of interests include: 

Language and library implementations 

Proposals for, and evaluation of, language extensions 

Applications and algorithms development experiences 

Comparisons between programming models 

Benchmark suites and performance studies 

Debuggers and performance analysis tools 

Compiler implementation and optimization 

Optimization techniques 

Performance portability 

Hybrid models (OpenMP-MPI etc.) 

Parallel languages and models for heterogeneous systems 

Parallel programming in core CS courses

下载Call4Papers App，获取更多详细内容！