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How to Write a Research Paper
Writing a research paper is a bit more difficult that a standard high school essay. You need to site sources, use academic data and show scientific examples. Before beginning, you’ll need guidelines for how to write a research paper.
Start the Research Process
Before you begin writing the research paper, you must do your research. It is important that you understand the subject matter, formulate the ideas of your paper, create your thesis statement and learn how to speak about your given topic in an authoritative manner. You’ll be looking through online databases, encyclopedias, almanacs, periodicals, books, newspapers, government publications, reports, guides and scholarly resources. Take notes as you discover new information about your given topic. Also keep track of the references you use so you can build your bibliography later and cite your resources.
Develop Your Thesis Statement
When organizing your research paper, the thesis statement is where you explain to your readers what they can expect, present your claims, answer any questions that you were asked or explain your interpretation of the subject matter you’re researching. Therefore, the thesis statement must be strong and easy to understand. Your thesis statement must also be precise. It should answer the question you were assigned, and there should be an opportunity for your position to be opposed or disputed. The body of your manuscript should support your thesis, and it should be more than a generic fact.
Create an Outline
Many professors require outlines during the research paper writing process. You’ll find that they want outlines set up with a title page, abstract, introduction, research paper body and reference section. The title page is typically made up of the student’s name, the name of the college, the name of the class and the date of the paper. The abstract is a summary of the paper. An introduction typically consists of one or two pages and comments on the subject matter of the research paper. In the body of the research paper, you’ll be breaking it down into materials and methods, results and discussions. Your references are in your bibliography. Use a research paper example to help you with your outline if necessary.
Organize Your Notes
When writing your first draft, you’re going to have to work on organizing your notes first. During this process, you’ll be deciding which references you’ll be putting in your bibliography and which will work best as in-text citations. You’ll be working on this more as you develop your working drafts and look at more white paper examples to help guide you through the process.
Write Your Final Draft
After you’ve written a first and second draft and received corrections from your professor, it’s time to write your final copy. By now, you should have seen an example of a research paper layout and know how to put your paper together. You’ll have your title page, abstract, introduction, thesis statement, in-text citations, footnotes and bibliography complete. Be sure to check with your professor to ensure if you’re writing in APA style, or if you’re using another style guide.
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Important dates, full paper submission deadline – extended, notification of acceptance (if initial paper was submitted by june 1), notification of acceptance (if initial paper is submitted by july 10), final full paper submission & author registration deadline, call for papers, the 2021 ieee international conference on imaging systems and techniques is the premier forum for the presentation of technological advances and research results and will take place jointly with the ieee international school of imaging virtually on august 24-26 2021..
The scope of the IEEE IST is to explore, advance, and generate new knowledge on:
- Quantum computing and cognitive vision systems Internet-of-Things (IoT) and Computer Vision
- Multifaceted imaging design principles, systems, and techniques, with applications in medical imaging, genomics and artificial intelligence, aimed at the exploring of novel pathophysiology and metabolic mechanisms and measure therapeutic efficacy
- Machine learning, deep learning, and data mining solutions utilizing medical imaging to assist clinicians and healthcare providers to bring big data to personalized medicine
- Imaging and cognitive machine vision systems, imaging informatics, image processing, cloud computing, computer vision, and mobile platforms, cybersecurity, aerospace, robotic vision systems, with applications in Industry 4, healthcare, intelligent autonomous driving and navigation, Internet of Things (IoT), Space and Resources exploration
- Emerging imaging trends that would lead ultimately to novel systems and technologies, standards and metrology, and systems with unsurpassable image quality, scalability, and miniaturization capabilities.
The 2021 IEEE International Conference on Imaging Systems and Techniques, is the premier conference of imaging aimed to provide a forum for prestigious specialists and scholars to share their experiences and demonstrate frontier research results in all respects of imaging technologies, systems, and techniques.
Engineers, and scientists from industry, government, academia, and healthcare who want to report novel scientific results, technological and clinical advances in the multidisciplinary areas of imaging systems, are invited to attend the IST Conference and interact with major worldwide experts.
IST 2021 Objectives
» Quantum Cognitive Imaging & Neural Networks » Augmented Intelligence & Computer Vision » Image processing & pattern recognition » Big Data & Machine Learning » Deep Learning & Cognitive Vision » Data Mining » Integration of Imaging Informatics & Bioinformatics » Neuromorphic Engineering & Vision Systems
» Machine vision, inspection and artificial intelligence » Cognitive vision systems » Bioinspired robotic vision systems » 2-d, 3-d and 4-d imaging » Light Illumination architectures » Medical surgical robotics » Block chain & distributed robotic vision sensing » Human visual system-based Imaging » Mobile Robotic Vision » Logistics & e-commerce
» Big Data Analysis & imaging » Immunohistochemical digital imaging » Translational imaging & theranostics » Molecular imaging & biology, Omics, biomarkers and metabolites » Virtual pathology » Pharmaco-imaging in drugs & medicine, drug characterization » Omics instrumentation & imaging » Multifusion Modalities
» Optical polarimetric reflectance spectroscopy » Optical multispectral imaging » Narrow band imaging » Laser Acoustics » Raman scattering & laser acoustics » High magnification bronchovideoscopy » Fluorescence & autofluorescence » Optical coherence tomography (OCT) » MRI, PET, SPECT, CT » Surgical guidance imaging
» Image sensors for 3D imaging » Bio-inspired image sensor
» Image processing and pattern recognition » Big Data Analytics » Machine Learning » Deep Learning » Data Mining » Integration of Imaging Informatics and Bioinformatics
» Image analysis » Wavelets & fractals » Big Data » Deep learning » Image registration » Image Segmentation » Pattern Recognition » Feature Extraction » Texture Analysis » Applications of medical image processing » Exploratory data analysis & big data » ET, MRI, CT, SPECT, PET and microscopy » Optical coherence tomography (OCT)
» Internet of Things (IoT) & Imaging » Imaging sensors & detectors » Cameras, microscopy, spectroscopy, displays and device miniaturization » Computer graphics & imaging » Imaging, machine learning and GPU processors » Tomographic Scanners: ECT, Inverse scattering and Industrial Scanners » Image processing & pattern recognition » Emerging imaging trends » Web-based remote diagnosis » Cloud Computing, Imaging and mobile Platforms » Cybersecurity & Imaging
» High speed » Large format » Ultra low power » Ultra low noise » Very high dynamic range » On-chip processing for smarter sensors
» Web-based remote diagnosis » Internet of the Things (IoT) & Imaging » Cloud Computing, Imaging, and mobile Platforms » Cybersecurity & Imaging » Smart Cities & Imaging » Aerial & Underwater Drones
» Hyperspectral image sensors or camera » Image sensors for computational imaging » Image sensors for automotive applications » Image sensors used in integrated networks (internet of things) » Image sensors for drones and autonomous vehicles » Sensor fusion
» Cognition & Robotic Vision » Bioinspired robotic vision systems » Remote sensing, ladars, and lidars » Autonomous aerial & underwater imaging systems » Advanced space instruments & satellite imaging » Sensors for aerospace applications » Image processing & Actificial Intelligence » Spectral registration » High dimensional data reduction in spectral bands » Nanosatellietes & Imaging
» Texture Analysis » Image quality Assessment » Image restoration » Super-resolution Imaging » Human visual system based Imaging » Compressive sensing for imaging » Image enhancement
» Beyond-5G/6G Mission-Critical Applications » Embedded imaging, mobile and communication applications » Web-based remote diagnosis » Exploration of Space
» Content-based retrieval in hyper/multi-spectral domain » Summarization tools in hyper/multi-spectral domain » Relevance feedback techniques to assist experts in taking complex decisions » Behavioral analysis and actions recognition for complex engineering applications » 4D/5D image reconstruction » Semantic representation and content enrichment
» Homeland security, surveillance, inspection and monitoring » Industrial Inspection & material characterization » Semiconductor wafers, solar cells, nanomaterials, biomaterials and composites » Pharmaceutical & food processing vision inspection system » Urban planning, civil engineering monitoring & transportation » Environmental monitoring & early detection of natural hazards » Cultural heritage applications » TeraHertz Imaging
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Attention to presenters:
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The IEEE International Conference on Signal and Image Processing Applications (ICSIPA), organized by the IEEE Signal Processing Society Malaysia Chapter provides a forum for local and international researchers and engineers from academia and industry to present and discuss the latest technological advances and research results in the fields of theoretical, experimental and applied signal, image and video processing. IEEE ICSIPA 2021 is seeking original high-quality submissions addressing innovative research in the broad field of signal, image and video processing.
Past ICSIPA conferences are indexed in Scopus , ISI Web of Science and IEEE Xplore ( 2009 , 2011 , 2013 , 2015 , 2017 and 2019 ). Papers presented in this conference will also be submitted for inclusion in IEEE Xplore.
Keynote Speakers
Professor Dong Xu, University of Sydney, Australia
Title: Visual Domain Adaptation
Professor Jing-Ming Guo, National Taiwan University of Science and Technology
Title: Overview on Semantic Segmentation and Its Extension to Document Segmentation
Mr. Tan Pei-Seng, ViTrox Corporation Berhad, Malaysia
Title: Current Industrial Challenges of Deep Learning Implementation on Automated Machine Vision Inspection Solution for Quality Control
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Title: Signal Processing in Industries
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TOPICS OF INTEREST
IEEE ICSIPA 2021 is seeking original high quality submissions addressing innovative research in the broad field of signal, image and video processing. Papers are solicited on, but not limited to:
Acquisition, Storage, Retrieval and Display:
sensors; acquisition systems; sampling, scanning; quantization; signal reproduction; rendering; signal representation; signal quality; storage & retrieval; multimedia databases & indexing; content-based retrieval; automatic image & video annotation; compression.
Computer Vision Processing and Analysis:
filtering; enhancement and restoration; segmentation; registration; stereoscopic & 3-D processing; video processing; morphological processing; image understanding; pattern recognition; classification; motion analysis & object tracking; object, event & scene recognition.
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forensic signal processing; cryptography, steganography & watermarking; video surveillance; face recognition in the wild; crowd analytics; gait analysis; other biometrics recognition.
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signal processing for communications; radar & array processing; seismic signal processing; speech & music processing; smart grid applications; information theory; mobile signal processing.
Trending Technologies in Signal and Image Processing:
Covid-19 and Imaging; Big Data; IoT; deep learning; autonomous vehicles; digital home; wearable device; immersive computing; social & cloud signal processing; green signal processing; M2M; open source tools; Web 3.0.
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Non author participant registration deadline: 13/9/2021
CONFERENCE COMMITTEE
General Chair: Hezerul Abdul Karim (MMU)
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Mohd Norzali Hj Mohd (UTHM)
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Technical Chair:
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Sponsorship& Exhibition Chair:
Syed Abd Rahman (UTM)
Publications Chair:
M Faizal A Fauzi (MMU)
Plenary Chair:
Nor’aini Abd Jalil (Wavesmiles)
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Wong Kok Sheik (Monash)
John See ( Heriot-Watt )
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TIP Volume 32 | 2023
- Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images
As an important yet challenging task in Earth observation, change detection (CD) is undergoing a technological revolution, given the broadening application of deep learning. Nevertheless, existing deep learning-based CD methods still suffer from two salient issues: 1) incomplete temporal modeling, and 2) space-time coupling. In view of these issues, we propose a more explicit and sophisticated modeling of time and accordingly establish a pair-to-video change detection (P2V-CD) framework. First, a pseudo transition video that carries rich temporal information is constructed from the input image pair, interpreting CD as a problem of video understanding.
- State-Aware Compositional Learning Toward Unbiased Training for Scene Graph Generation
How to avoid biased predictions is an important and active research question in scene graph generation (SGG). Current state-of-the-art methods employ debiasing techniques such as resampling and causality analysis. However, the role of intrinsic cues in the features causing biased training has remained under-explored. In this paper, for the first time, we make the surprising observation that object identity information, in the form of object label embeddings (e.g. GLOVE), is principally responsible for biased predictions.
- Rethinking Sampling Strategies for Unsupervised Person Re-Identification
Unsupervised person re-identification (re-ID) remains a challenging task. While extensive research has focused on the framework design and loss function, this paper shows that sampling strategy plays an equally important role. We analyze the reasons for the performance differences between various sampling strategies under the same framework and loss function. We suggest that deteriorated over-fitting is an important factor causing poor performance, and enhancing statistical stability can rectify this problem.
- Sequential Order-Aware Coding-Based Robust Subspace Clustering for Human Action Recognition in Untrimmed Videos
Human action recognition (HAR) is one of most important tasks in video analysis. Since video clips distributed on networks are usually untrimmed, it is required to accurately segment a given untrimmed video into a set of action segments for HAR. As an unsupervised temporal segmentation technology, subspace clustering learns the codes from each video to construct an affinity graph, and then cuts the affinity graph to cluster the video into a set of action segments.
- Fuzzy Semantics for Arbitrary-Shaped Scene Text Detection
To robustly detect arbitrary-shaped scene texts, bottom-up methods are widely explored for their flexibility. Due to the highly homogeneous texture and cluttered distribution of scene texts, it is nontrivial for segmentation-based methods to discover the separatrixes between adjacent instances. To effectively separate nearby texts, many methods adopt the seed expansion strategy that segments shrunken text regions as seed areas, and then iteratively expands the seed areas into intact text regions.
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- Join us for a new webinar in the Biomedical Imaging for Signal Processing Webinar Series! On 14 March, Prof. Alejan… https://t.co/nuiI3dCa0n
- CALL FOR PAPERS: The IEEE Journal of Selected Topics in Signal Processing is now accepting articles for a Special S… https://t.co/pvfuApxNzo
- New SPS Webinar: On 9 March, join Mr. Sayantan Dutta when he presents "Novel Prospects of Image Restoration Inspire… https://t.co/YKP1j2uF0N
- We said that 2023 would be an exciting year for SPS! Announcing the NEW SPS Scholarship Program, awarding students… https://t.co/lVdI8SmLhc
- The SPS Webinar Series continues on 13 March when Dr. Donald Williamson presents "Utilizing Full Signal Reconstruct… https://t.co/pySh0ZCUqC
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While extensive research has focused on the framework design and loss function, this paper shows that sampling strategy plays an equally important role.