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ISSNIP 2015: International Conference on Intelligent Sensors, Sensor Networks and Information Processing

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투고 마감일:
2014-12-01
통보일:
2015-01-10
개최일:
2015-04-07
개최지:
Singapore
개최 횟수:
10
조회: 16941   팔로우: 1   참가: 0

회반 지수 (CP-I)

45.7 / 100
전체 5,680개 중 2,623위 · 상위 47%

전기·전자공학 분야 509개 중 199위 네트워크·통신 분야 864개 중 402위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산
개최 횟수 (20%)
65
커뮤니티 관심도 (10%)
15
공개 자료 충실도 (15%)
25

사용한 입력: 확인되는 개최 횟수: 10 · 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 2026-09-11

논문 모집

ISSNIP 2015 (International Conference on Intelligent Sensors, Sensor Networks and Information Processing) is an academic conference held in Singapore on 2015-04-07. The paper submission deadline is 2014-12-01. Acceptance notifications are sent on 2015-01-10.

The massive data streams and diverse modalities of digital information sources being captured at incredible rates have enriched the confluence of intelligent sensors, ubiquitous computing, networking technologies, wireless sensor networks, data mining, machine learning, and data visualization. The emerging technology also has boosted many promising applications in environmental sensing, urban mobility, transportation, emergency response, social networks, healthcare, security, IT infrastructure, and smart-city applications. However, the technical challenges involved in these emerging applications lie in the intersection of multiple disciplines. Thus, IEEE ISSNIP 2015 will include three technical tracks, intelligent sensors, sensor networks, and information processing, to focus on different topics in sensor research. The track on Intelligent Sensors aims at attracting major advances and breakthroughs in sensor technologies, design of circuits and systems, energy sources, packaging technologies, and microsystem integration. The intelligent sensor ideally offers sensing and actuating capabilities combined with on-node computation and communication functions, while implemented in extremely miniaturized form factor and operating in an energy-autonomous manner. The need for intelligent sensors opens up many technical challenges and opportunities. The track on Sensor Networks is designed to attract diverse participation from researchers and practitioners working at the leading edge of wireless and wired sensor network development. As sensor networks can now provide a rich and varied source of data streams, the need for reliable sensor information, as well as for sensing infrastructure and analytical sense-making tools that are able to make informed decisions, creates many new challenges. The track on Information Processing focuses on techniques for the analysis and interpretation of data that is generated by sensor networks, as well as the use of such techniques in practical application domains. Sensor networks can provide a rich and varied source of data streams, ranging from simple periodic measurements to complex video and multimedia streams. These data streams need to be processed by the resource constraints of sensing platforms, which may involve real-time, distributed and in-network processing. These processing tasks are creating new challenges in the fields of signal processing, machine learning, computational intelligence and data analytics. Original contributions on all topics related to intelligent sensors, sensor networks, and information processing in sensor networks are welcomed. Areas of interest include, but are not limited to, the following: Internet of Things (IoT) Cloud Computing and Data Management Big Data Analytics and Spatio-Temporal Analysis Participatory Sensing and Crowd Sourcing Network Scheduling and Optimization Sustainable and Energy-Aware Networking Protocols and Standards in Internet of Things Fault Tolerance and Reliability Security, Privacy, and Trust Middleware for Sensor Systems Sensor Network Management and Control Sensor Fusion, Tracking, and Localization Data Mining, Pattern Recognition, and Machine Intelligence Smart Sensors: Optical, Nano Sensor Networks and IoT Applications Smart Grids, Smart Cities, and Smart Environments Submission Guidelines Submitted papers must be written in English, and be in standard IEEE conference paper format (double-column, 10-point font), not exceeding six pages total (including figures and appendices). However, one additional page is allowed at a charge -- an overlength page charge is payable by the authors for each accepted paper that requires a 7th page in the final camera-ready manuscript. Standard IEEE conference paper templates in LaTeX and Microsoft Word formats can be found at http://www.ieee.org/conferences_events/conferences/publishing/templates.html. Either the A4 or the US Letter paper size may be used. Authors should adhere closely to the formatting style of the templates. Papers with a non-compliant format will be summarily rejected without handling by the peer-review process. Papers must be submitted through EDAS for peer-review. Accepted papers will be scheduled presentations at the conference. Due to the limited number of rooms at the conference venue, a portion of the accepted papers will be presented as posters. The IEEE ISSNIP 2015 Technical Program Committee will decide which papers will be presented in oral (lecture type) sessions and which papers as posters, and the decisions will be announced to the authors. Choice between oral and poster presentations will be totally independent of the review scores and of the paper quality. Instructions on the preparation and submission of papers can be found on the "Authors" page of the conference website.
최종 수정: Dou Sun ()

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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Sensors3.5MDPI1424-8220
Measurement: SensorsElsevier2665-9174
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

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