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ES 2018: International Conference on Enterprise Systems

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ES
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투고 마감일:
2018-06-18 Extended
통보일:
2018-07-23
개최일:
2018-10-08
개최지:
Limassol, Cyprus
개최 횟수:
6
조회: 12215   팔로우: 1   참가: 0

회반 지수 (CP-I)

43.2 / 100
전체 5,682개 중 3,673위 · 상위 65%

정보 시스템·웹 분야 253개 중 158위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
52
커뮤니티 관심도 (10%)
15
공개 자료 충실도 (15%)
25

사용한 입력: 확인되는 개최 횟수: 6 · 회반에서 팔로우 중인 연구자: 1명 · 지난 24개월 동안 이 페이지를 연 연구자: 2명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-17

논문 모집

ES 2018 (International Conference on Enterprise Systems) is an academic conference held in Limassol, Cyprus on 2018-10-08. The paper submission deadline is 2018-06-18 (extended). Acceptance notifications are sent on 2018-07-23.

Publication We welcome both survey and original articles. Accepted papers will be submitted for inclusion into the IEEE Xplore Database which is indexed by EI. Authors of selected papers will be invited to submit an extended version to top international journals in these areas. Given the fact that technology advancement in these areas is so fast, we also welcome 4-page short papers to present valuable and latest progresses of ongoing projects. Note, all manuscripts shall be written in English, using the IEEE conference template (double column, size 10). The limits of length for different type of papers are: 8 pages for long paper aiming for journal publication, 6 pages for full paper, and 4 pages for work-in-progress papers. Scope We welcome original and survey articles about the latest advances of technology. The f results can be state-of-the-art, requirements, fundamental theories, models, frameworks, algorithms, methodologies, platforms, protocols, prototypes, testbeds, field trials, case studies/stories, field experiences, standardization efforts, regulatory activities, education and training innovations, etc. The application areas include aeronautics and astronautics, agriculture, automotive, building, construction, energy, finance, healthcare, logistics, manufacturing, process industry, power, transportation, etc. The topics of interest include but are not limited to: Topic 1: Enterprise Systems for Industry 4.0 Business-IT Alignment and IT Agility Enterprise Modelling & Integration Decision Support Systems Enterprise Knowledge Engineering and Knowledge Management Enterprise Systems for Business Process Management Enterprise Systems for Case Management Information integration and interoperability Cross-organizational collaboration and virtual enterprise Integration of (legacy) enterprise applications and information Information Governance Enterprise Architecture & Engineering Service Oriented Architecture (SOA) Topic 2: Cyber Physical Systems for Industry 4.0 Artificial intelligence and autonomous systems Smart agents and systems Cloud computing techniques for industrial systems Cloud robotics Cloud-based automation and control systems Model based development for CPS Semantic technologies for CPS Formal methods for industrial and enterprise applications Smart logistics for complex services Intelligent Transportation Systems E-Health Systems Smart Grid Systems Smart Homes, Buildings, Communities, and Cities Topic 3: Internet of Things for Industry 4.0 Internet of Things, Services, and People Industrial internet and tactile internet Wireless sensor and actuator network Automation networks, field buses, and Time Sensitive Networks Green communications and computing Ultra-reliable and ultra-low latency networks Super dense networks Automotive networks and Internet-of-Vehicles New PHY/MAC design and signal processing techniques Next generation networks e.g. 5G for industries IP-fication and interoperability of communication technologies Topic 4: Big Data for Industry 4.0 Innovative approaches for data collection (e.g., sensor-based wearable devices, location-based mobile devices) Data analysis (e.g., new econometrics, machine learning, decision science models) of big data New methods to extract business intelligence from structured and unstructured business data (e.g. data in the form of text, video, audio, link structure, etc.) New methods for the creation, sharing and reuse of big data Tools and technologies for deploying and managing big data Cloud-based data storage and exchange New approaches to combine multiple methods of research on big data New methods introduced from reference disciplines (e.g. statistics, biology, medical science, computer science, physics, etc.) for the business analysis of big data Topic 5: Security and Privacy Protection for Industry 4.0 Security in industrial networks Smart device information leaks Trusted and trustworthy computing and cloud services Security in cloud-based enterprise infrastructure Cloud and cyber security Privacy preservation in data release Cryptography, key distribution, and security management Asymmetric encryption for low capacity devices Privacy and data governance Topic 6: System Engineering and Human Factors for Industry 4.0 System-of-systems methodology and practices Social networks and social computing Service design and engineering Management of innovation in complex enterprise environment Human-in-the-loop automation, control, operation, and optimization Advanced human-machine/computer/robot/facility-interaction Wearable technologies and human centric sensing User centric design of industrial and enterprise systems Collaboration between human workers and robots Social-industry information exchange Enablers, drivers, and use cases of the Social Sensing Topic 7: IoT-enabled Smart Manufacturing Cloud based innovation of business models and manufacturing eco-systems Cloud manufacturing, mass-customization, and flexible manufacturing Networked manufacturing infrastructure and services Flexible and rapid recombination and reconfiguration of workshop floors Task modelling, decomposition, and composition Sharing of distributed manufacturing facilities and fine grain scheduling Holistic optimization of manufacturing efficiency Interaction and integration of Cyber Factory and Physical Factory Evolution and integration of Manufacturing Execution Systems Product life cycle management Manufacturing Facility-as-a-Service
최종 수정: Dou Sun ()

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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Enterprise Information Systems3.9Taylor & Francis1751-7575
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

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