工学 | 顶级SCI期刊专刊/国际会议信息5条

工学

ICSCE 2019

International Conference on Structural and Civil Engineering

全文截稿: 2019-05-05

开会时间: 2019-09-25

会议难度: ★★

会议地点: Lisbon, Portugal

网址：http://www.icsce.org/

Human beings have gone through millions of years of long road, building updated from burrowing, nesting, and palace to high-rises today, leaving a classic and long history of architectural culture. With the rapid development of science and technology, energy depletion, environmental degradation, opportunities and challenges both arise, the grim reality for us go deeply into what we need to build? What is the future of architecture and civil engineering?
2019 3rd International Conference on Structural and Civil Engineering (ICSCE 2019) will be held in NOVA University of Lisbon, Portugal during September 25-27, 2019. ICSCE 2019 will focus on green architecture, intelligent architecture, design of practicality and artistic. We sincerely welcome researchers, engineers, academicians as well as industrial professionals from all over the world to present research results and development activities in structural and civil engineering. ICSCE 2019 is held after ICSCE 2018 which held successfully in University of Lisbon, Portugal during September 26-28, 2018 and ICSCE 2017 which was successfully held in Lyon, France during September 21-23, 2017.

工学

EMSICC 2019

International Workshop on Energy Management for Sustainable Internet-of-Things and Cloud Computing

全文截稿: 2019-05-10

开会时间: 2019-08-26

会议难度: ★★

会议地点: Istanbul, Turkey

网址：http://cedric.cnam.fr/workshops/emsicc19/index.html

Prospective authors are invited to submit original, previously unpublished work, reporting on novel and significant research contributions, on-going research projects, experimental results and recent developments related to, but not limited to, the following topics:
Energy-aware/energy harvesting scheduling algorithms using intelligence
Adaptive middleware for energy-efficient computing
Instrumentation and measurement of energy-efficient computing and networking
Enhanced performance and QoS in energy-efficient systems
Resource management in large infrastructures (such as data centres) and in power/energy constrained systems
Data management in energy-efficient systems
Sensing, monitoring, control, and management of energy systems
Modelling, control, and architectures for renewable energy generation resources
Privacy and security in energy-aware platforms
Metrics, benchmarks, interfaces, and tools to consider energy dimension
Energy-aware hardware platforms
Specifications and validation of energy-aware platforms
Energy efficiency and virtualization in Cloud of Things
Energy services for smart cities
Intelligent optimisation and computational intelligence for IoT devices
Machine learning approaches for energy management
Learning of patterns of energy deployment in smart applications
Prediction of anticipated energy consumption.

工学

ICCEA 2019

International Conference of Civil Engineering and Architecture

全文截稿: 2019-05-15

开会时间: 2019-09-21

会议难度: ★

会议地点: Seoul, South Korea

网址：http://www.iccea.org/

2019 2nd International Conference on Civil Engineering and Architecture (ICCEA 2019) will be taken place in Seoul, South Korea during September 21-23, 2019, which is sponsored by Seoul National University. It is the premier forum for the presentation of new advances and research results in the fields of theoretical, experimental, and practical civil engineering and architecture. The conference will bring together leading researchers, engineers and architects in the domain of interest from around the world.

工学

Transportation Research Part C: Emerging Technologies

Call for papers for the special issue: Modeling and managing mixed traffic with human-driven and automated vehicles

全文截稿: 2019-05-31

影响因子: 3.968

中科院JCR分区:

  • 大类 : 工程技术 - 2区

  • 小类 : 运输科技 - 2区

网址: https://www.journals.elsevier.com/transportation-research-part-c-emerging-technologies

Introduction

Traffic models and theories, as well as traffic control, management and evaluation approaches for conventional traffic have been intensively investigated for several decades. Both, their advantages and limitations are well recognized in the traffic field. However, with the increasing development of connected and automated vehicle (CAV) technologies, new traffic models considering the CAV environment must be developed. In particular, in the coming 20-30 years the vehicle fleet will most likely be made up of a mixture of human-driven vehicles and CAVs. This complex traffic environment presents challenges to traffic modelling, control and management, especially when considering stochastic driving characteristics of humans and the uncertainty associated with the interaction between human driven vehicles and CAVs.

Although the emergence of connected and automated vehicles provides abundant data and opportunities in the new era of traffic modelling, control, management and evaluation, some issues still to be solved. Below are a few sample questions that still remain largely unexplored.

(1) Are existing traffic models able to capture the traffic flow characteristics of a mixed traffic environment where human-driven and CAV vehicles interact? If not, how can we model such environment?

(2) How can we leverage CAV data provided at low penetration rates for improving the understanding of prevailing/emerging traffic phenomena?

(3) How can we efficiently utilize CAV data for traffic control and management?

(4) How can traffic evaluation approaches be improved, and policy making be supported by incorporating CAV data?

Scope of the special issue

The focus of this special issue is on innovative approaches, models and algorithms for traffic control, management and evaluation of mixed traffic flow conditions (i.e., with human-driven vehicles and CAVs). Potential topics of interest include but are not limited to:

Innovative traffic models/theories for mixed traffic conditions

Connected and automated vehicle data-based traffic estimation and prediction approaches (e.g., based on trajectory data)

Traffic control approaches and algorithms for mixed traffic conditions

Performance evaluation of mixed traffic systems via simulation approaches or field experiments

Traffic monitoring and evaluation based on the CAV data in mixed traffic conditions

工学

International Journal of Production Economics

Call for paper: Exploring supply chain structural dynamics: new disruptive technologies and disruption risks

全文截稿: 2019-09-30

影响因子: 4.407

中科院JCR分区:

  • 大类 : 工程技术 - 2区

  • 小类 : 工程：工业 - 1区

  • 小类 : 工程：制造 - 2区

  • 小类 : 运筹学与管理科学 - 1区

网址: https://www.journals.elsevier.com/international-journal-of-production-economics

Supply chains are complex, dynamic network systems that evolve over time and change their structures (Gross et al. 2018). Supply chain structural dynamics theory studies changes in network design and topology and develops methods to manage and optimize the supply chain processes when experiencing structural changes (Ivanov et al. 2010, Ivanov 2018). Supply chain structural dynamics can be considered in light of both positive and negative changes, such as new disruptive technologies (e.g., blockchain) or disruption risks (e.g., natural disasters and the ripple effect (Dolgui et al. 2018)), respectively. For example, Industry 4.0 and additive manufacturing are driving changes in supply chain structural designs, i.e., the structures of supply chains are be adapted to new technology. Severe natural disasters may result in the temporary unavailability of some suppliers, or even of large supplier clusters. In such a case, the structural design of the supply chain is forced to change. In addition, sharing and circular economies are changing value chain structures. Thus both strategic structural transformations and operative, event-driven structural reconfigurations are being encountered more frequently. The management and optimization of structural dynamics plays a crucial role in determining a firm’s competitiveness in the markets.

This Special Issue seeks to attract new research in supply chain structural dynamics, considering disruptions in supply chains from both positive and negative perspectives. Examples of positive disruptive technologies and paradigms include:

Blockchain and supply chain structural dynamics

Industry 4.0 and supply chain structural dynamics

Sharing and circular economy and supply chain structural dynamics

Firm’s organizational transformation (e.g., mergers&acquisitions, industrial symbioses) and supply chain structural dynamics

Digital technology innovation (e.g., cloud manufacturing platforms or supply chain visibility) and supply chain structural dynamics

Sustainability and supply chain structural dynamics.

On the other hand, disruption risks cause negative changes in supply chain structural dynamics:

Capacity disruptions and supply chain structural dynamics

Disruption propagation (i.e., the ripple effect) and supply chain structural dynamics

Resilience and supply chain structural dynamics

Recovery and supply chain structural dynamics

Proactive control and supply chain structural dynamics.

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