research paper on web development ieee

Web Development

The differences, similarities and in-betweens

• Conference paper
• Cite this conference paper

• Karlheinz Kautz 5 &
• Sabine Madsen 5  

305 Accesses

The IS literature reveals considerable effort concerning the development of web-based systems. Particularly the differences and similarities between traditional systems development and web development and the applicability of traditional development methods are widely and controversially discussed. However, the discussions are still primarily based on normative arguments and lack support of empirical evidence (Eriksen, 2000).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save.

• Get 10 units per month
• Download Article/Chapter or eBook
• 1 Unit = 1 Article or 1 Chapter
• Cancel anytime
• Available as PDF
• Read on any device
• Instant download
• Own it forever
• Compact, lightweight edition
• Dispatched in 3 to 5 business days
• Free shipping worldwide - see info
• Durable hardcover edition

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Unable to display preview.  Download preview PDF.

Similar content being viewed by others

The Rise of Disappearing Frameworks in Web Development

Return of the Great Spaghetti Monster: Learnings from a Twelve-Year Adventure in Web Software Development

Product or Service? An Interpretive Case Study of Web Development

Bansler J. and K. Becker, 1993, A Reappraisal of Structured Analysis: Design in an Organizational Context, ACM Transactions on Information Systems , 11 (2), 165–193.

Article   Google Scholar  

Barry C. and M. Lang, 2001, A Survey of Multimedia and Web Development Techniques and Methodology Usage, IEEE MultiMedia , 8 (2), 52–60.

Baskerville R. and J. Pries-Heje, 2001, Racing the E-Bomb: how the Internet is redefining Information Systems Development, Proceedings of the IFIP TC8/WG8. 2 Working Conference, July, Idaho, USA.

Google Scholar  

Braa K., Sorensen C. and B. Dahlbom, 2000, Changes — From Big Calculator to Global Network, in: Planet Internet , Studenterlitteratur, pp. 13–39.

Budde R., Kautz K., Kuhlenkamp K. and H. Züllighoven, 1992, What is Prototyping?, Information , Technology and People , vol. 6, no. 2+3, Northwind, Oregon, USA.

Carstensen P. and L. Vogelsang, 2001, Design of Web-Based Information Systems — New Challenges for Systems Development?, Proceedings of the European Conference on Information Systems (ECIS).

Chen L., Sherrell L.B. and C. Hsu, 1999, A Development Methodology for Corporate Web Sites, First ICSE Workshop on Web Engineering (WebE-99), Los Angeles, USA.

Curtis, B., H. Krasner and N. Iscoe, 1998, A Field Study of the Software Design Process for Large Systems, Communications of the ACVM , vol 31, no. 11, 1268–1287.

DeMarco T. and T. Lister, 1987, Peopleware — Productive Projects and Teams, Dorset House Publishing, New York, NY, USA.

Eriksen L. B., 2000, Limitations and Opportunities of System Development Methods in Web Information System Design, Proceedings of the IFIP TC8/WG 8. 2 Working Conference, Boston, USA, 473–486.

Floyd C., 1984, A Systematic Look at Prototyping, in: Approaches to Prototyping , Budde R. et al. eds., Springer Verlag, Berlin, Germany.

Greenbaum J. and D. Stuedahl, 2000, Deadlines and work practices in New Media Development, Proceedings of the 23rd IRIS conference, University of Trollhättan Uddevalla, 537–546.

Grudin J., 1991, Interactive Systems: Bridging the Gap between developers and users, IEEE Computer , April, pp. 59–69.

Hoick J., 2003,4 Perspectives on Web Information Systems, Proceedings of the 36th HICSS conference.

Howcroft D. and J. Carroll, 2000, A Proposed Methodology for Web Development, Proceedings of the 8th European Conference on Information Systems ( ECIS ), Vienna, July.

Järvinen P., 2001, On Research Methods, Opinpajan Kirja.

Kautz K. and S. Madsen, 2002, Applying System Development Methods in Practice — The RUP example, in:, Information Systems Development: Advances in Methodologies , Components and Management , Grundspenkis J. et al., eds., Kluwer Press, pp. 267–278.

Kautz K. and J. Pries-Heje, 2000, Systems Development Education and Methodology Adoption, Journal of Computer Personnel , Vol. 20, No. 3.

Lyytinen K., Gregory R. and R. Welke, 1998, The Brave New World of Development in the Intemetwork Computing Architecture (InterNCA): or how distributed Computing Platforms will change Systems Development, Information Systems Journal , Vol. 8, 241–253.

Murugesan S. and Y. Deshpande, 2001, Web Engineering: A new Discipline for Development of web-based systems, in: Web Engineering - Managing Diversity and Complexity of Web Application Development , Springer-Verlag.

Pape T. and K. Thoresen, 1987, Development of Common Systems by Prototyping, in: Computers and Democracy — A Scandinavian Challenge , Bjerknes et al., eds., Aldershot, Brookfield, USA, pp. 297–311.

Pressman R. S., 1998, Can Internet-Based Applications be Engineered?, IEEE Software , September/October, 104–110.

Roos D. T. and K. E. Schoman, 1977, Structured Analysis for Requirements Definition, IEEE Transactions on Software Engineering , SE-3, pp. 6–15.

Trues D., Baskerville R. and J. Travis, 2000, A methodical systems development: the deferred meaning of systems development methods, Accounting Management and Information Technologies , 10(1), 53–79.

Vidgen R., 2002, WISDM: Constructing a Web Information System Development Methodology, Information Systems Journal , 12 (3), 247–261.

Vidgen R., Avison D., Wood J. and A. Wood-Harper, 2002, Developing Web Information Systems ,Butterworth Heinemann.

Walsham G., 1993, Interpreting Information Systems in Organizations ,John Wiley & Sons.

Download references

Author information

Authors and affiliations.

Department of Informatics, Copenhagen Business School, Howitzvej 60, DK-2000, Frederiksberg, Denmark

Karlheinz Kautz & Sabine Madsen

You can also search for this author in PubMed   Google Scholar

Editor information

Editors and affiliations.

Monash University, Melbourne, Australia

Henry Linger  & Julie Fisher  & 

Boise State University, Boise, Idaho, USA

Wita Wojtkowski  & W. Gregory Wojtkowski  & 

University of Maribor, Kranj, Slovenia

Jože Zupančič

Swinburne University of Technology, Melbourne, Australia

Kitty Vigo  & Josie Arnold  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer Science+Business Media New York

About this paper

Cite this paper.

Kautz, K., Madsen, S. (2004). Web Development. In: Linger, H., et al. Constructing the Infrastructure for the Knowledge Economy. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-4852-9_37

Download citation

DOI : https://doi.org/10.1007/978-1-4757-4852-9_37

Publisher Name : Springer, Boston, MA

Print ISBN : 978-1-4419-3459-8

Online ISBN : 978-1-4757-4852-9

eBook Packages : Springer Book Archive

Share this paper

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Publish with us

Policies and ethics

• Find a journal
• Track your research

Subscribe to the PwC Newsletter

Join the community, search results for author: ieee, found 73 papers, 12 papers with code, multimodal emotion recognition based on facial expressions, speech, and eeg.

no code implementations • IEEE Open Journal of Engineering in Medicine and Biology 2024 • JiaHui Pan , Member , Weijie Fang , Zhihang Zhang , Bingzhi Chen* , Zheng Zhang , Shuihua Wang , Senior Member , IEEE

Method: In this paper, we propose a deep learning-based multimodal emotion recognition (MER) called

Variational Neuron Shifting for Few-Shot Image Classification Across Domains

no code implementations • journal 2024 • Liyun Zuo , Baoyan Wang , Lei Zhang , Jun Xu , Member , IEEE , and Xiantong Zhen

Existing meta-learning models learn the ability of learning good representation or model parameters, in order to adapt to new tasks with a few training samples.

Event-Triggered Tracking Control for Nonlinear Systems With Prescribed Performance

no code implementations • IEEE TRANSACTIONS ON SYSTEMS 2024 • Ruihang Ji , Shuzhi Sam Ge , Kai Zhao , Member , and Haizhou Li , Fellow , IEEE

Abstract—This article addresses the entry capture problem (ECP) of uncertain nonlinear systems under asymmetric performance constraints.

Instance Paradigm Contrastive Learning for Domain Generalization

no code implementations • IEEE Transactions on Circuits and Systems for Video Technology 2024 • Zining Chen , Weiqiu Wang , Zhicheng Zhao , Fei Su , Member , IEEE , Aidong Men , and Yuan Dong

In this paper, we propose an instance paradigm contrastive learning framework, introducing contrast between original features and novel paradigms to alleviate domain-specific distractions.

An Ultralightweight Hybrid CNN Based on Redundancy Removal for Hyperspectral Image Classification

no code implementations • IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024 • Xiaohu Ma , Wuli Wang , Member , IEEE

Simultaneously, for PW-Conv, we design a spectral convolution with redundancy removal (R2Spectral-Conv).

Meta Reinforcement Learning for Multi-Task Offloading in Vehicular Edge Computing

no code implementations • TMC 2024 • Penglin Dai , Yaorong Huang , Kaiwen Hu , Xiao Wu , Huanlai Xing , and Zhaofei Yu , Member , IEEE

The objective is to design a unified solution to minimize task execution time under different MTO scenarios.

Ultra-Robust Real-Time Estimation of Gait Phase

no code implementations • IEEE Transactions on Neural Systems and Rehabilitation Engineering 2023 • Mohammad Shushtari , Hannah Dinovitzer , Jiacheng Weng , and Arash Arami , Member , IEEE

The estimator is finally tested on a participant walking with an active exoskeleton, demonstrating the robustness of D67 in interaction with an exoskeleton without being trained on any data from the test subject with or without an exoskeleton.

Interaction-Aware Planning With Deep Inverse Reinforcement Learning for Human-Like Autonomous Driving in Merge Scenarios

1 code implementation • journal 2023 • Jiangfeng Nan , Weiwen Deng , Member , IEEE , Ruzheng Zhang , Ying Wang , Rui Zhao , Juan Ding

To consider the interaction factor, the reward function for planning is utilized to evaluate the joint trajectories of the autonomous driving vehicle (ADV) and traffic vehicles.

Seismic Random Noise Attenuation Based on Non-IID Pixel-Wise Gaussian Noise Modeling

1 code implementation • IEEE Transactions on Geoscience and Remote Sensing 2023 • Chuangji Meng , Jinghuai Gao , Member , IEEE , Yajun Tian , Zhiqiang Wang

Thus, our proposed framework called VI-Non-IID inclines to have better noise characterization and generalization capabilities, which brings better performance on seismic field NA.

A Line Complex-Based Evolutionary Algorithm for Many-Objective Optimization

no code implementations • IEEE/CAA Journal of Automatica Sinica 2023 • Liang Zhang , Qi Kang , Qi Deng , Luyuan Xu , and Qidi Wu , Senior Member , IEEE

The proposed algorithm is compared with the state of the art on widely used benchmark problems with up to 15 objectives.

Spoof Trace Disentanglement for generic face antispoofing

no code implementations • journal 2023 • Yaojie Liu and Xiaoming Liu , Member , IEEE

Yet, it is a challenging task due to the diversity of spoof attacks and the lack of ground truth for spoof traces.

Bio-Inspired Feature Selection in Brain Disease Detection via an Improved Sparrow Search Algorithm

no code implementations • IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022 • Wenyu Yu , Hui Kang , Geng Sun , Member , Shuang Liang , and Jiahui Li , Student Member , IEEE

Finally, the proposed ISSA is utilized to solve the objective function.

VCI-LSTM: Vector Choquet Integral-based Long Short-Term Memory

no code implementations • IEEE 2022 • Mikel Ferrero-Jaurrieta , Zdenko Taka ́cˇ , Javier Ferna ́ndez , Member , IEEE , Lˇubom ́ıra Horanska ́ , Grac ̧aliz Pereira Dimuro , Susana Montes , Irene D ́ıaz and Humberto Bustince , Fellow , IEEE.

Choquet integral is a widely used aggregation oper- ator on one-dimensional and interval-valued information, since it is able to take into account the possible interaction among data.

Lightweight Deep Neural Network for Joint Learning of Underwater Object Detection and Color Conversion

no code implementations • journal 2022 • Chia-Hung Yeh , Chu-Han Lin , Li-Wei Kang , Member , Chih-Hsiang Huang , Min-Hui Lin , Chuan-Yu Chang , and Chua-Chin Wang , Senior Member , IEEE

Li-Wei Kang is with the Department of Electrical Engineering, National Taiwan Normal University, Taipei 106, Taiwan (e-mail: lwkang@ntnu. edu. tw).

Topology Change Aware Data-Driven Probabilistic Distribution State Estimation Based on Gaussian Process

no code implementations • IEEE Transactions on Smart Grid 2022 • Di Cao , Member , Junbo Zhao , Weihao Hu , Senior Member , Qishu Liao , Qi Huang , Zhe Chen , Fellow , IEEE

Abstract—This paper addresses the distribution system state estimation (DSSE) with unknown topology change.

STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network

no code implementations • IEEE Transactions on Industrial Informatics 2022 • Ryan Wen Liu , Maohan Liang , Jiangtian Nie , Yanli Yuan , Zehui Xiong , Member , IEEE , Han Yu

—The revolutionary advances in machine learning and data mining techniques have contributed greatly to the rapid developments of maritime Internet of Things (IoT).

Coverage Control Algorithm for DSNs Based on Improved Gravitational Search

no code implementations • IEEE Sensors Journal 2022 • Yindi Yao , Huanmin Liao , Xiong Li , Student Member , IEEE , Feng Zhao , Xuan Yang , and Shanshan Hu

—In directional sensor networks (DSNs), coverage control is an important way to ensure efficient communication and reliable data transmission.

Context-Aware Semantically Extensible Searchable Symmetric Encryption for Encrypted Cloud Data

no code implementations • journal 2022 • Lanxiang Chen , Yujie Xue , Yi Mu , Senior Member , Lingfang Zeng , Fatemeh Rezaeibagha , Member , and Robert H. Deng , Fellow , IEEE

To address this problem, a new context-aware semantically extensible searchable symmetric encryption based on Word2vec model (CASE-SSE) is proposed to achieve context-aware semantic extension in this article.

High-order Correlation Preserved Incomplete Multi-view Subspace Clustering

3 code implementations • IEEE Transactions on Image Processing 2022 • Zhenglai Li , Chang Tang , Xiao Zheng , Xinwang Liu , Senior Member , Wei zhang , Member , IEEE , and En Zhu

Specifically, multiple affinity matrices constructed from the incomplete multi-view data are treated as a thirdorder low rank tensor with a tensor factorization regularization which preserves the high-order view correlation and sample correlation.

A GAN-Based Short-Term Link Traffic Prediction Approach for Urban Road Networks Under a Parallel Learning Framework

no code implementations • IEEE Transactions on Intelligent Transportation Systems 2022 • Junchen Jin , Member , IEEE , Dingding Rong , Tong Zhang , Qingyuan Ji , Haifeng Guo , Yisheng Lv , Xiaoliang Ma , and Fei-Yue Wang

This paper proposes a short-term traffic speed prediction approach, called PL-WGAN, for urban road networks, which is considered an important part of a novel parallel learning framework for traffic control and operation.

Shallow Network Based on Depthwise Over-Parameterized Convolution for Hyperspectral Image Classification

no code implementations • 1 Dec 2021 • Hongmin Gao , Member , Zhonghao Chen , Student Member , IEEE , Chenming Li

Therefore, this letter proposes a shallow model for HSIC, which is called depthwise over-parameterized convolutional neural network (DOCNN).

Distributed Differential Evolution Based on Adaptive Mergence and Split for Large-Scale Optimization

1 code implementation • IEEE Transactions on Evolutionary Computation 2021 • Yinglan Feng , Liang Feng , Senior Member , Sam Kwong , and Kay Chen Tan , Fellow , IEEE

In this way, the number of subpopulations is adaptively adjusted and better performing subpopulations obtain more individuals.

Double Deep Q-learning Based Real-Time Optimization Strategy for Microgrids

no code implementations • 27 Jul 2021 • Hang Shuai , Xiaomeng Ai , Jiakun Fang , Wei Yao , Senior Member , Jinyu Wen , Member , IEEE

It is challenging to solve this kind of stochastic nonlinear optimization problem.

A Novel Deep Learning Method for Thermal to Annotated Thermal-Optical Fused Images

no code implementations • 13 Jul 2021 • Suranjan Goswami , IEEE Student Member , Satish Kumar Singh , Senior Member , Bidyut B. Chaudhuri , Life Fellow , IEEE

As a part of this work, we also present a new and unique database for obtaining the region of interest in thermal images based on an existing thermal visual paired database, containing the Region of Interest on 5 different classes of data.

Deep Learning Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving

no code implementations • IEEE Transactions on Intelligent Transportation Systems 2021 • Liangtian Wan , Yuchen Sun , Lu Sun , Member , Zhaolong Ning , Senior Member , and Joel J. P. C. Rodrigues , Fellow , IEEE

Abstract— In this paper, a novel system architecture including a massive multi-input multi-output (MIMO) or a reconfigurable intelligent surface (RIS) and multiple autonomous vehicles is considered in vehicle location systems.

Content-Preserving Image Stitching with Piecewise Rectangular Boundary Constraints

no code implementations • IEEE Transactions on Visualization and Computer Graphics 2021 • Yun Zhang , Yu-Kun Lai , and Fang-Lue Zhang , Member , IEEE

By analyzing the irregular boundary, we construct a piecewise rectangular boundary.

Deep Reinforcement Learning Based Optimization for IRS Based UAV-NOMA Downlink Networks

no code implementations • 17 Jun 2021 • Shiyu Jiao , Ximing Xie , Zhiguo Ding , Fellow , IEEE

This paper investigates the application of deep deterministic policy gradient (DDPG) to intelligent reflecting surface (IRS) based unmanned aerial vehicles (UAV) assisted non-orthogonal multiple access (NOMA) downlink networks.

Detailed Primary and Secondary Distribution System Model Enhancement Using AMI Data

no code implementations • 29 May 2021 • Karen Montano-Martinez , Sushrut Thakar , Shanshan Ma , Zahra Soltani , Student Member , Vijay Vittal , Life Fellow , Mojdeh Khorsand , Raja Ayyanar , Senior Member , Cynthia Rojas , Member , IEEE

Reliable and accurate distribution system modeling, including the secondary network, is essential in examining distribution system performance with high penetration of distributed energy resources (DERs).

Context-aware taxi dispatching at city-scale using deep reinforcement learning

no code implementations • IEEE Transactions on Intelligent Transportation Systems 2021 • Zhidan Liu , Jiangzhou Li , and Kaishun Wu , Member , IEEE

Abstract— Proactive taxi dispatching is of great importance to balance taxi demand-supply gaps among different locations in a city.

Low-Complexity Symbol Detection and Interference Cancellation for OTFS System

no code implementations • 期刊 2021 • Huiyang Qu , Guanghui Liu , Lei Zhang , Shan Wen , Graduate Student Member , and Muhammad Ali Imran , Senior Member , IEEE

Orthogonal time frequency space (OTFS) is a two-dimensional modulation scheme realized in the delay- Doppler domain, which targets the robust wireless transmissions in high-mobility environments.

Multi-Scale and Multi-Direction GAN for CNN-Based Single Palm-V ein Identification

no code implementations • IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 2021 • Huafeng Qin , Mounim A. El-Y acoubi , Y a n t a o L i , Member , IEEE , and Chongwen Liu

Despite recent advances of deep neural networks in hand vein identification, the existing solutions assume the availability of a large and rich set of training image samples.

Joint Trajectory and Power Allocation Design for Secure Artificial Noise Aided UAV Communications

no code implementations • journals 2021 • Milad Tatar Mamaghani , Graduate Student Member , and Yi Hong , Senior Member , IEEE

This paper investigates an average secrecy rate (ASR) maximization problem for an unmanned aerial vehicle (UAV) enabled wireless communication system, wherein a UAV is employed to deliver confidential information to a ground destination in the presence of a terrestrial passive eavesdropper.

A 510-nW Wake-Up Keyword-Spotting Chip Using Serial-FFT-Based MFCC and Binarized Depthwise Separable CNN in 28-nm CMOS

no code implementations • journal 2021 • Weiwei Shan , Minhao Yang , Tao Wang , Yicheng Lu , Hao Cai , Lixuan Zhu , Jiaming Xu , Chengjun Wu , Longxing Shi , Senior Member , and Jun Yang , Member , IEEE

We propose a sub-µW always-ON keyword spotting (µKWS) chip for audio wake-up systems.

Data-Driven Assisted Chance-Constrained Energy and Reserve Scheduling with Wind Curtailment

no code implementations • 2 Nov 2020 • Xingyu Lei , Student Member , Zhifang Yang , Member , Junbo Zhao , Juan Yu , Senior Member , IEEE

Case studies performed on the PJM 5-bus and IEEE 118-bus systems demonstrate that the proposed method is capable of accurately accounting the influence of wind curtailment dispatch in CCO.

Systems and Control Systems and Control

CRPN-SFNet: A High-Performance Object Detector on Large-Scale Remote Sensing Images

no code implementations • 28 Oct 2020 • QiFeng Lin , Jianhui Zhao , Gang Fu , and Zhiyong Yuan , Member , IEEE

Extensive experiments on the public Dataset for Object deTection in Aerial images data set indicate that our CRPN can help our detector deal the larger image faster with the limited GPU memory; meanwhile, the SFNet is beneficial to achieve more accurate detection of geospatial objects with wide-scale range.

Frame-wise Cross-modal Matching for Video Moment Retrieval

1 code implementation • 22 Sep 2020 • Haoyu Tang , Jihua Zhu , Meng Liu , Member , IEEE , Zan Gao , Zhiyong Cheng

Another contribution is that we propose an additional predictor to utilize the internal frames in the model training to improve the localization accuracy.

Attention Transfer Network for Nature Image Matting

1 code implementation • IEEE Transactions on Circuits and Systems for Video Technology 2020 • Fenfen Zhou , Yingjie Tian , Member , IEEE , and Zhiquan Qi

Then, we introduce a scale transfer block to magnify the feature maps without adding extra information.

A New Multiple Source Domain Adaptation Fault Diagnosis Method between Different Rotating Machines

no code implementations • TRANSACTIONS ON INDUSTRIAL INFORMA TICS 2020 • un Zhu , Nan Chen , Member , IEEE , and Changqing Shen

To solve this issue, transfer learning is proposed by leveraging knowl- edge learned from source domain to target domain.

Learning Person Re-identification Models from Videos with Weak Supervision

no code implementations • 21 Jul 2020 • Xueping Wang , Sujoy Paul , Dripta S. Raychaudhuri , Min Liu , Yaonan Wang , Amit K. Roy-Chowdhury , Fellow , IEEE

In order to cope with this issue, we introduce the problem of learning person re-identification models from videos with weak supervision.

Obstacle Avoidance and Tracking Control of Redundant Robotic Manipulator: An RNN-Based Metaheuristic Approach

no code implementations • IEEE Transactions on Industrial Informatics 2020 • Ameer Hamza Khan , Student Member , Shuai Li , and Xin Luo , Senior Member , IEEE

In this article, we present a metaheuristic-based control framework, called beetle antennae olfactory recurrent neural network, for simultaneous tracking control and obstacle avoidance of a redundant manipulator.

Edge server deployment scheme of blockchain in IoVs

no code implementations • 16 Jun 2020 • Liya Xu , Mingzhu Ge , Weili Wu , Member , IEEE

In fact, the application of blockchain in IoVs can be implemented by employing edge computing.

Service Provisioning Framework for RAN Slicing: User Admissibility, Slice Association and Bandwidth Allocation

no code implementations • IEEE Transactions on Mobile Computing 2020 • Yao Sun , Shuang Qin , Member , Gang Feng , Lei Zhang , and Muhammad Ali Imran , SeniorMember , IEEE

Network slicing (NS) has been identified as one of the most promising architectural technologies for future mobile network systems to meet the extremely diversified service requirements of users.

A Simplified 2D-3D CNN Architecture for Hyperspectral Image Classification Based on Spatial–Spectral Fusion

no code implementations • 5 Jun 2020 • Chunyan Yu , Rui Han , Meiping Song , Caiyu Liu , and Chein-I Chang , Life Fellow , IEEE

Abstract—Convolutional neural networks (CNN) have led to a successful breakthrough for hyperspectral image classification (HSIC).

Decision Fusion in Space-Time Spreading aided Distributed MIMO WSNs

no code implementations • 16 May 2020 • I. Dey , H. Joshi , Member , N. Marchetti , Senior Member , IEEE

In this letter, we propose space-time spreading (STS) of local sensor decisions before reporting them over a wireless multiple access channel (MAC), in order to achieve flexible balance between diversity and multiplexing gain as well as eliminate any chance of intrinsic interference inherent in MAC scenarios.

Energy-Efficient Over-the-Air Computation Scheme for Densely Deployed IoT Networks

no code implementations • IEEE 2020 • Semiha Tedik Basaran , Student Member , Gunes Karabulut Kurt , and Periklis Chatzimisios , Senior Member , IEEE

The proposed MMSE estimator provides a signif- icant mean squared error improvement with reducing en- ergy consumption compared to the conventional estimator.

A Lightweight and Privacy-Preserving Authentication Protocol for Mobile Edge Computing

no code implementations • 27 Feb 2020 • Kuljeet Kaur∗ , Sahil Garg∗ , Georges Kaddoum∗ , Member , Mohsen Guizani† , Fellow , IEEE , and Dushantha Nalin K. Jayakody‡ , Senior Member , IEEE.

With the advent of the Internet-of-Things (IoT), vehicular networks and cyber-physical systems, the need for realtime data processing and analysis has emerged as an essential pre-requite for customers’ satisfaction.

Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning

1 code implementation • 24 Feb 2020 • Chongwen Huang , Member , IEEE , Ronghong Mo , Chau Yuen , Senior Member

In this paper, we investigate the joint design of transmit beamforming matrix at the base station and the phase shift matrix at the RIS, by leveraging recent advances in deep reinforcement learning (DRL).

Reinforcement Learning Tracking Control for Robotic Manipulator With Kernel-Based Dynamic Model

no code implementations • TRANSACTION 2020 • Yazhou Hu , Wenxue Wang , Hao liu , and Lianqing Liu , Member , IEEE

In this algorithm, a reward function is defined according to the features of tracking control in order to speed up the learning process, and then an RL tracking controller with a kernel-based transition dynamic model is proposed.

Broad Learning System Based on Maximum Correntropy Criterion

no code implementations • 24 Dec 2019 • Yunfei Zheng , Badong Chen , Shiyuan Wang , Senior Member , Weiqun Wang , Member , IEEE

As an effective and efficient discriminative learning method, Broad Learning System (BLS) has received increasing attention due to its outstanding performance in various regression and classification problems.

Localization and Clustering Based on Swarm Intelligence in UAV Networks for Emergency Communications

no code implementations • IEEE Internet of Things Journal 2019 • Muhammad Yeasir Arafat , Sangman Moh , Member , IEEE

Second, we propose an energy-efficient swarm-intelligence-based clustering (SIC) algorithm based on PSO, in which the particle fitness function is exploited for inter-cluster distance, intra-cluster distance, residual energy, and geographic location.

VSSA-NET: Vertical Spatial Sequence Attention Network for Traffic Sign Detection

no code implementations • 5 May 2019 • Yuan Yuan , Zhitong Xiong , Student Member , Qi. Wang , Senior Member , IEEE

Our contributions are as follows: 1) We propose a multi-resolution feature fusion network architecture which exploits densely connected deconvolution layers with skip connections, and can learn more effective features for the small size object; 2) We frame the traffic sign detection as a spatial sequence classification and regression task, and propose a vertical spatial sequence attention (VSSA) module to gain more context information for better detection performance.

GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection

1 code implementation • 5 May 2019 • Qi. Wang , Senior Member , Zhenghang Yuan , Qian Du , Xuelong. Li , Fellow , IEEE

In order to better handle high dimension problem and explore abundance information, this paper presents a General End-to-end Two-dimensional CNN (GETNET) framework for hyperspectral image change detection (HSI-CD).

Discrete-Time Impulsive Adaptive Dynamic Programming

no code implementations • IEEE Transactions on Cybernetics 2019 • Qinglai Wei , Ruizhuo Song , Member , IEEE , Zehua Liao , Benkai Li , and Frank L. Lewis

Abstract—In this paper, a new iterative adaptive dynamic programming (ADP) algorithm is developed to solve optimal impulsive control problems for infinite horizon discrete-time nonlinear systems.

Generalization of the Dark Channel Prior for Single Image Restoration

no code implementations • IEEE Transactions on Image Processing 2019 • Yan-Tsung Peng , Keming Cao , and Pamela C. Cosman , Fellow , IEEE

Abstract— Images degraded by light scattering and absorption, such as hazy, sandstorm, and underwater images, often suffer color distortion and low contrast because of light traveling through turbid media.

A MIP Model for Risk Constrained Switch Placement in Distribution Networks

no code implementations • IEEE 2019 • Milad Izadi , Student Member , IEEE and Amir Safdarian , Member , IEEE

The model is applied to the RBTS-Bus4 and a real distribution network.

PEA265: Perceptual Assessment of Video Compression Artifacts

no code implementations • 1 Mar 2019 • Liqun Lin , Shiqi Yu , Tiesong Zhao , Member , Zhou Wang , Fellow , IEEE

To monitor and improve visual QoE, it is crucial to develop subjective and objective measures that can identify and quantify various types of PEAs.

A Provably Secure and Efficient Identity-Based Anonymous Authentication Scheme for Mobile Edge Computing

no code implementations • 22 Feb 2019 • Xiaoying Jia，Debiao He , Neeraj Kumar , and Kim-Kwang Raymond Choo , Senior Member , IEEE

Mobile edge computing (MEC) allows one to overcome a number of limitations inherent in cloud computing, although achieving the broad range of security requirements in MEC settings remains challenging.

Location-Centered House Price Prediction: A Multi-Task Learning Approach

no code implementations • 7 Jan 2019 • Guangliang Gao , Zhifeng Bao , Jie Cao , A. K. Qin , Timos Sellis , Fellow , IEEE , Zhiang Wu

Regarding the choice of prediction model, we observe that a variety of approaches either consider the entire house data for modeling, or split the entire data and model each partition independently.

DATS: Dispersive Stable Task Scheduling in Heterogeneous Fog Networks

no code implementations • Conference 2018 • Zening Liu , Xiumei Yang , Yang Yang , Kunlun Wang , and Guoqiang Mao , Fellow , IEEE

Abstract—Fog computing has risen as a promising architecture for future Internet of Things (IoT), 5G and embedded artificial intelligence (AI) applications with stringent service delay requirements along the cloud to things continuum.

Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks

no code implementations • IEEE INTERNET OF THINGS JOURNAL, VOL. 6, NO. 3 2018 • Jiawen Kang , Rong Y u , Xumin Huang , Maoqiang Wu , Sabita Maharjan , Member , Shengli Xie , and Y an Zhang , Senior Member , IEEE

Due to limited resources with vehicles, vehicular edge computing and networks (VECONs) i. e., the integration of mobile edge computing and vehicular networks, can provide powerful computing and massive storage resources.

Optimal Training for Residual Self-Interference for Full-Duplex One-Way Relays

no code implementations • 13 Aug 2018 • Xiaofeng Li , Cihan Tepedelenlio˘glu , and Habib ¸Senol , Member , IEEE

For the former, we propose a training scheme to estimate the overall channel, and for the latter the CRB and the optimal number of relays are derived when the distance between the source and the destination is fixed.

Medical Image Synthesis with Deep Convolutional Adversarial Networks

1 code implementation • IEEE Transactions on Biomedical Engineering 2018 • Dong Nie , Roger Trullo , Jun Lian , Li Wang , Caroline Petitjean , Su Ruan , Qian Wang , and Dinggang Shen , Fellow , IEEE

To better model a nonlinear mapping from source to target and to produce more realistic target images, we propose to use the adversarial learning strategy to better model the FCN.

Single Image Dehazing Using Color Ellipsoid Prior

1 code implementation • IEEE Transactions on Image Processing 2018 • Trung Minh Bui , Student Member , and Wonha Kim , Senior Member , IEEE

The proposed method constructs color ellipsoids that are statistically fitted to haze pixel clusters in RGB space and then calculates the transmission values through color ellipsoid geometry.

Significantly Fast and Robust Fuzzy C-MeansClustering Algorithm Based on MorphologicalReconstruction and Membership Filtering

no code implementations • IEEE 2018 • Tao Lei , Xiaohong Jia , Yanning Zhang , Lifeng He , Hongy-ing Meng , Senior Member , and Asoke K. Nandi , Fellow , IEEE

However, the introduction oflocal spatial information often leads to a high computationalcomplexity, arising out of an iterative calculation of the distancebetween pixels within local spatial neighbors and clusteringcenters.

An Integrated Platform for Live 3D Human Reconstruction and Motion Capturing

no code implementations • 8 Dec 2017 • Dimitrios S. Alexiadis , Anargyros Chatzitofis , Nikolaos Zioulis , Olga Zoidi , Georgios Louizis , Dimitrios Zarpalas , Petros Daras , Senior Member , IEEE

The latest developments in 3D capturing, processing, and rendering provide means to unlock novel 3D application pathways.

Robust Single Image Super-Resolution via Deep Networks With Sparse Prior

1 code implementation • journals 2016 • Ding Liu , Zhaowen Wang , Bihan Wen , Student Member , Jianchao Yang , Member , Wei Han , and Thomas S. Huang , Fellow , IEEE

We demonstrate that a sparse coding model particularly designed for SR can be incarnated as a neural network with the merit of end-to-end optimization over training data.

A Decentralized Cooperative Control Scheme With Obstacle Avoidance for a Team of Mobile Robots

no code implementations • journal 2013 • Hamed Rezaee , Student Member , and Farzaneh Abdollahi , Member , IEEE

The problem of formation control of a team of mobile robots based on the virtual and behavioral structures is considered in this paper.

A Grid-Based Evolutionary Algorithm for Many-Objective Optimization

1 code implementation • IEEE Transactions on Evolutionary Computation 2013 • Shengxiang Yang , Member , IEEE , Miqing Li , Xiaohui Liu , and Jinhua Zheng

Balancing convergence and diversity plays a key role in evolutionary multiobjective optimization (EMO).

Physiological Parameter Monitoring from Optical Recordings with a Mobile Phone

no code implementations • 29 Jul 2011 • Christopher G. Scully , Student Member , Jinseok Lee , Joseph Meyer , Alexander M. Gorbach , Domhnull Granquist-Fraser , Yitzhak Mendelson , Member , and Ki H. Chon , Senior Member , IEEE

We show that a mobile phone can serve as an accurate monitor for several physiological variables, based on its ability to record and analyze the varying color signals of a fingertip placed in contact with its optical sensor.

Performance Analysis of Two Hop Amplify-and-Forward Systems with Interference at the Relay

no code implementations • journal 2010 • Himal A. Suraweera , Member , HariK.Garg , and A. Nallanathan , Senior Member , IEEE

Abstract—We analyze the performance of a two hop channel state information (CSI)-assisted amplify-and-forward system, with co-channel interference at the relay.

Efficiently Indexing Large Sparse Graphs for Similarity Search

no code implementations • 18 Feb 2010 • Guoren Wang , Bin Wang , Xiaochun Yang , IEEE Computer Society , and Ge Yu , Member , IEEE

Abstract—The graph structure is a very important means to model schemaless data with complicated structures, such as protein- protein interaction networks, chemical compounds, knowledge query inferring systems, and road networks.

ANALYSIS OF CALIBRATED SEA CLUTTER AND BOAT REFLECTIVITY DATA AT C- AND X-BAND IN SOUTH AFRICAN COASTAL WATERS

no code implementations • IEEE 2007 • Ron Rubinstein , Member , Tomer Peleg , Student Member , and Michael Elad , Fellow , IEEE

Abstract—The synthesis-based sparse representation model for signals has drawn considerable interest in the past decade.

Parameter-free Geometric Document Layout Analysis

no code implementations • IEEE Transactions on Pattern Analysis and Machine Intelligence 2001 • Seong-Whan Lee , Senior Member , IEEE , and Dae-Seok Ryu

Based on the proposed periodicity measure, multiscale analysis, and confirmation procedure, we could develop a robust method for geometric document layout analysis independent of character font sizes, text line spacing, and document layout structures.

The Trusted Solution for Open Access Publishing

Fully Open Access Topical Journals

IEEE offers over 30 technically focused gold fully open access journals spanning a wide range of fields.

Hybrid Open Access Journals

IEEE offers 180+ hybrid journals that support open access, including many of the top-cited titles in the field.

IEEE Access

The multidisciplinary, gold fully open access journal of the IEEE, publishing high quality research across all of IEEE’s fields of interest.

About IEEE Open

Many authors in today’s publishing environment want to make access to research freely available to all reader communities. To help authors gain maximum exposure for their groundbreaking research, IEEE provides a variety of open access options to meet the needs of authors and institutions.

Call for Papers

Browse our fully open access topical journals and submit a paper.

News & Events

IEEE Announces 6 New Fully Open Access Journals and 6 Hybrid Journals Coming in 2024

New Tools in the IEEE Author Center

Author Guidelines for Artificial Intelligence (AI)-Generated Text

New IEEE Open Access Journals Receive First Impact Factors in 2024

IEEE Access, a Multidisciplinary, Open Access Journal

IEEE Access is a multidisciplinary, online-only, gold fully open access journal, continuously presenting the results of original research or development across all IEEE fields of interest. Supported by article processing charges (APCs), its hallmarks are rapid peer review, a submission-to-publication time of 4 to 6 weeks, and articles that are freely available to all readers.

Now On-Demand

How to publish open access with ieee.

This newly published on-demand webinar will provide authors with best practices in preparing a manuscript, navigating the journal submission process, and important tips to help an author get published. It will also review the opportunities authors and academic institutions have to enhance the visibility and impact of their research by publishing in the many open access options available from IEEE.

Register Now

IEEE Publications Dominate Latest Citation Rankings

Each year, the Journal Citation Reports® (JCR) from Web of Science Group examines the influence and impact of scholarly research journals. JCR reveals the relationship between citing and cited journals, offering a systematic, objective means to evaluate the world’s leading journals. The 2022 JCR study, released in June 2023, reveals that IEEE journals continue to maintain rankings at the top of their fields.

is Mainsite

• Search all IEEE websites
• Mission and vision
• IEEE at a glance
• IEEE Strategic Plan
• Organization of IEEE
• Diversity, Equity, & Inclusion
• Organizational Ethics
• Annual Report
• History of IEEE
• Volunteer resources
• IEEE Corporate Awards Program
• Financials and Statistics
• IEEE Future Directions
• IEEE for Industry (Corporations, Government, Individuals)
• IEEE Climate Change
• Humanitarian and Philanthropic Opportunities
• Select an option
• Get the latest news
• Access volunteer resources (Code of Ethics, financial forms, tools and templates, and more)
• Find IEEE locations
• Get help from the IEEE Support Center
• Recover your IEEE Account username and password
• Learn about the IEEE Awards program and submit nomination
• View IEEE's organizational structure and leadership
• Apply for jobs at IEEE
• See the history of IEEE
• Learn more about Diversity, Equity & Inclusion at IEEE
• Join an IEEE Society
• Renew your membership
• Member benefits
• IEEE Contact Center
• Connect locally
• Memberships and Subscriptions Catalog
• Member insurance and discounts
• Member Grade Elevation
• Get your company engaged
• Access your Account
• Learn about membership dues
• Learn about Women in Engineering (WIE)
• Access IEEE member email
• Find information on IEEE Fellows
• Access the IEEE member directory
• Learn about the Member-Get-a-Member program
• Learn about IEEE Potentials magazine
• Learn about Student membership
• Affinity groups
• IEEE Societies
• Technical Councils
• Technical Communities
• Geographic Activities
• Working groups
• IEEE Regions
• IEEE Collabratec®
• IEEE Resource Centers
• IEEE DataPort
• See the IEEE Regions
• View the MGA Operations Manual
• Find information on IEEE Technical Activities
• Get IEEE Chapter resources
• Find IEEE Sections, Chapters, Student Branches, and other communities
• Learn how to create an IEEE Student Chapter
• Upcoming conferences
• IEEE Conferences, Events & Experiences (CEE)
• IEEE Conference Application
• See benefits of authoring a conference paper
• Search for 2025 conferences
• Search for 2024 conferences
• Find conference organizer resources
• Register a conference
• Publish conference papers
• Manage conference finances
• Learn about IEEE Conferences, Events & Experiences (CEE)
• Visit the IEEE SA site
• Become a member of the IEEE SA
• Find information on the IEEE Registration Authority
• Obtain a MAC, OUI, or Ethernet address
• Access the IEEE 802.11™ WLAN standard
• Purchase standards
• Get free select IEEE standards
• Purchase standards subscriptions on IEEE Xplore®
• Get involved with standards development
• Find a working group
• Find information on IEEE 802.11™
• Access the National Electrical Safety Code® (NESC®)
• Find MAC, OUI, and Ethernet addresses from Registration Authority (regauth)
• Get free IEEE standards
• Learn more about the IEEE Standards Association
• View Software and Systems Engineering Standards
• IEEE Xplore® Digital Library
• Subscription options
• IEEE Spectrum
• The Institute
• Proceedings of the IEEE
• IEEE Access®
• Author resources
• Get an IEEE Xplore digital library trial for IEEE members
• Review impact factors of IEEE journals
• Request access to the IEEE Thesaurus and Taxonomy
• Access the IEEE copyright form
• Find article templates in Word and LaTeX formats
• Get author education resources
• Visit the IEEE Xplore digital library
• Find Author Digital Tools for IEEE paper submission
• Review the IEEE plagiarism policy
• Get information about all stages of publishing with IEEE
• IEEE Learning Network (ILN)
• IEEE Credentialing Program
• Pre-university
• IEEE-Eta Kappa Nu
• Accreditation
• Access continuing education courses on the IEEE Learning Network
• Find STEM education resources on TryEngineering.org
• Learn about the TryEngineering Summer Institute for high school students
• Explore university education program resources
• Access pre-university STEM education resources
• Learn about IEEE certificates and how to offer them
• Find information about the IEEE-Eta Kappa Nu honor society
• Learn about resources for final-year engineering projects
• Access career resources

New Technology Connections: Future Directions

New Technology Connections is your resource to emerging technologies within IEEE. The IEEE Future Directions Committee has identified the technologies on this page as primary focus areas and has established them as formal initiatives to engage IEEE. For each initiative, you will find a wealth of knowledge, resources, and opportunities to participate.

Visit each featured portal to access upcoming events, news articles, technical publications, related standards, and academic programs. To learn more, contact Future Directions at [email protected] .

Subscribe to the IEEE Future Directions Newsletter.

New initiatives

Ieee future directions events, technology megatrends, ieee future tech forum, ieee future directions newsletter, ieee future directions podcasts, ieee future directions committee, ieee technology roadmaps committee, ieee global semiconductors, ieee future directions resource center, graduated initiatives, new technology proposal list.

Get involved in the current IEEE Future Directions Initiatives:

View the list of initiative chairs (PDF, 90 KB)

• IEEE Digital Privacy Workshop , 7 October 2024, Pittsburgh, Pennsylvania, USA
• 2024 IEEE International Symposium on Emerging Metaverse (ISEMV) , 21 October 2024, Bellevue, Washington, USA
• 2024 IEEE Online Forum on Climate Change Technologies (OFCCT) , 4-7 November & 2-5 December 2024, Virtual
• 2024 IEEE Conference on Telepresence , 16-17 November 2024, Pasadena, California, USA

Learn more about Technology Megatrends

Visit the IEEE Future Tech Forum website to learn more, register for upcoming sessions, and access previous sessions on-demand.

Learn more about IEEE Future Tech Forum

Subscribe to the IEEE Future Directions Newsletter

IEEE Future Directions considers the reflection of technology through the lens of social implications a key tenant of its work as it incubates and promotes technologies. IEEE Technology Policy & Ethics features timely technical, policy, ethical, social, and governmental, but not political, commentary related to emerging technologies and advancements. Read these articles in the IEEE Future Directions Newsletter.

• August (PDF, 851 KB)
• June (PDF, 836 KB)
• April (PDF, 833 KB)
• February (PDF, 2 MB)
• December (PDF, 1 MB)
• October (PDF, 729 KB)
• August (PDF, 1 MB)
• June (PDF, 724 KB)
• April (PDF, 660 KB)
• February (PDF, 953 KB)
• December (PDF, 906 KB)
• October (PDF, 1 MB)
• August (PDF, 897 KB)
• June (PDF, 1 MB)
• April (PDF, 1 MB)
• January (PDF, 792 KB)
• December (PDF, 961 KB)
• October (PDF, 928 KB)
• August (PDF, 976 KB)
• May (PDF, 650 KB)
• March (PDF, 617 KB)
• January (PDF, 810 KB)
• November (PDF, 832 KB)
• September (PDF, 2 MB)
• July (PDF, 2 MB)
• May (PDF, 1 MB)
• March (PDF, 2 MB)
• January (PDF, 2 MB)
• December (PDF, 2 MB)
• September (PDF, 1 MB)
• July (PDF, 673 KB)
• May (PDF, 403 KB)
• March (PDF, 302 KB)
• January (PDF, 285 KB)
• November (PDF, 312 KB)
• September (PDF, 182 KB)
• July (PDF, 330 KB)
• May (PDF, 155 KB)
• March (PDF, 125 KB)
• January (PDF, 121 KB)
• November (PDF, 116 KB)
• September (PDF, 140 KB)
• July (PDF, 142 KB)
• May (PDF, 118 KB)
• March (PDF, 121 KB)
• January (PDF, 144 KB)
• November (PDF, 114 KB)
• September (PDF, 110 KB)
• August (PDF, 106 KB)
• April (PDF, 103 KB)

IEEE Future Directions interviews top subject-matter experts in the field through its Q&A podcast series.

The primary working objectives of the IEEE Future Directions Committee:

• Incubates emerging technologies and new applications of current technologies
• Identifies opportunities to engage the engineering community and the general public
• Works with IEEE members and staff to focus on emerging technologies through technical, professional, and educational activities
• Serves as a catalyst for new conferences, publications, standards, educational products, forums, white papers, grants, and projects to support new technologies

View the IEEE Future Directions Committee Roster

The growing interest in technology roadmaps spans a wide range of IEEE organizational units. IRC seeks to enable the success of IEEE’s technology roadmap activities by leveraging the expertise of experienced roadmap developers to create tools and templates while documenting a high-level roadmap development process to assist new roadmaps.

Learn more about IRC

Learn more about IEEE Global Semiconductors

The IEEE Future Directions Resource Center offers a selection of products for sale, including newsletters, videos, webinars, and white papers. IEEE members and technical community subscribers receive discounts on all products. Through the Resource Center, you will get a glimpse into the various Future Directions initiatives and their wide range of offerings.

Visit the IEEE Future Directions Resource Center

These initiatives had their start within IEEE Future Directions and have graduated. Some have continued as self-managed communities, and others have taken a different path.

Let's stay connected.

Download today

In honor and tribute to Roberto Saracco, we encourage you to read his past blog posts.

• Read the blog

IEEE Future Directions offers a comprehensive collection of learning opportunities on a variety of groundbreaking, cutting-edge technologies through webinars, podcasts, courses, and more.

Access IEEE Future Directions education offerings

Access IEEE Future Directions webinars

Visit the IEEE Technology Navigator

The General Data Protection Regulation (GDPR) is a regulation by European Union (EU) authorities to strengthen and unify data protection for EU citizens and individuals within the European Union. The primary aim of GDPR is to give EU citizens and residents control over their personal data. GDPR went into effect 25 May 2018.

For more information, visit the IEEE GDPR page .

Structure Your Paper

Learn how to structure your paper for publication. IEEE has put together some tips and best practices for what should be included in your conference paper.

Your paper title should be specific, concise, and descriptive. Avoid using unnecessary words such as “new” or “novel”. Include keywords that will help a reader find your paper.

Provide a concise summary of the research conducted. Include the conclusions reached and the potential implications of those conclusions. Your abstract should also:

• consist of a single paragraph up to 250 words, with correct grammar and unambiguous terminology;
• be self-contained with no abbreviations, footnotes, references, or mathematical equations;
• highlight what is unique in your work;
• include 3-5 keywords or phrases that describe the research, with any abbreviations clearly defined,  to help readers find your paper.

First Footnote

Funding footnote.

If the research reported in your paper was supported by a funding source, include the funder’s name and grant information in a footnote on the first page of the paper.

Human and animal research statements

For papers reporting on research involving human subjects or animals, complete and include one of the following human/animal research statements in a footnote on the first page of the paper:

• Papers That Are Reporting on Human/Animal Research and Have Review Board Approval:   This work involved human subjects or animals in its research. Approval of all ethical and experimental procedures and protocols was granted by (Name of Review Board or Committee) (if provided under Application No. xx, and performed in line with the (Name of Specific Declaration (if applicable/provided)).
• Papers That Are Reporting on Human/Animal Research and Are Exempt From Review Board Approval: This work involved human subjects or animals in its research. The author(s) confirm(s) that all human/animal subject research procedures and protocols are exempt from review board approval.

Refer to the IEEE’s policy on Research on Human and Animal Subjects .

Introduction

Help the reader understand why your research is important and what it is contributing to the field.

• Start by giving the reader a brief overview of the current state of research in your subject area.
• Progress to more detailed information on the specific topic of your research.
• End with a description of the exact question or hypothesis that your paper will address.

Also state your motivation for doing your research and what it will contribute to the field.

Formulate your research question. It should include:

• a detailed description of the question;
• the methods you used to address the question;
• the definitions of any relevant terminology;
• any equations that contributed to your work.

The methods section should be described in enough detail for someone to replicate your work.

Results and Discussion

Show the results that you achieved in your work and offer an interpretation of those results. Acknowledge any limitations of your work and avoid exaggerating the importance of the results.

Summarize your key findings. Include important conclusions that can be drawn and further implications for the field. Discuss benefits or shortcomings of your work and suggest future areas for research.

Acknowledgments

You can recognize individuals who provided assistance with your work, but who do not meet the definition of authorship . The acknowledgments section is optional.

Provide citation information for all the previous publications referred to in your paper. Cite only those references that directly support your work.

Georgia Tech Conference Center Atlanta, GA --> October 18 - 20, 2022 Georgia Tech Hotel and Conference Center Atlanta, GA

Sponsored by the ieee computer society technical committee on security and privacy.

  Register

2022 papers

We solicit research papers on a broad range of topics relating to secure systems development. Examples of topics that are in scope include: development libraries, tools, or processes to produce systems resilient to certain attacks; formal foundations that underpin a language, tool, or testing strategy that improves security; techniques that drastically improve the scalability of security solutions for practical deployment; and experience, designs, or applications showing how to apply cryptographic techniques effectively to secure systems.

​SecDev also ​seeks hands-on​ ​and​ ​interactive​ ​tutorials​ ​on​ ​processes,​ ​frameworks,​ ​languages,​ ​and​ ​tools​ ​for​ ​building security​ ​in.​ ​The​ ​goal​ ​is​ ​to​ ​share​ ​knowledge​ ​on​ ​the​ ​art​ ​and​ ​science​ ​of​ ​secure​ ​systems development.​

SecDev also has calls for other types of contributions such as posters and tool demos, and abstracts from practitioners.

• Call for Practitioner Session: https://secdev.ieee.org/2022/practitioners/
• Security/resiliency-focused​ ​system​ ​designs​ ​(HW/SW/architecture)
• Tools​ ​and​ ​methodology​ ​for​ ​secure​ ​code​ ​development
• Risk​ ​management​ ​and​ ​testing​ ​strategies​ ​to​ ​improve​ ​security
• Security​ ​engineering​ ​processes,​ ​from​ ​requirements​ ​to​ ​maintenance
• Security benchmarks
• Comparative experimental evaluation
• From research to practice – gaps and transitions
• Programming​ ​languages,​ ​development​ ​tools,​ ​and​ ​ecosystems​ ​supporting​ ​security
• Static​ ​program​ ​analysis​ ​for​ ​software​ ​security
• Dynamic​ ​analysis​ ​and​ ​runtime​ ​approaches​ ​for​ ​software​ ​security
• Automation​ ​of​ ​programming,​ ​deployment,​ ​and​ ​maintenance​ ​tasks​ ​for​ ​security
• Distributed​ ​systems​ ​design​ ​and​ ​implementation​ ​for​ ​security
• Privacy by design
• Human-centered​ ​design​ ​for​ ​systems​ ​security
• Formal​ ​verification​ ​and​ ​other​ ​high-assurance​ ​methods​ ​for​ ​security
• Code​ ​reviews,​ ​red​ ​teams,​ ​and​ ​other​ ​human-centered​ ​assurance

Submission​ ​Details

• The website for submissions:

https://secdev2022.hotcrp.com/

• Submissions must use the two-column IEEE Proceedings style:

Submissions​ ​must​ ​be​ ​one​ ​of​ ​two ​categories:

At least one author of each accepted paper and tutorial must register for the conference and present the paper/tutorial. We​ ​are​ ​devoted​ ​to​ ​seeking​ ​broad​ ​representation​ ​in​ ​the​ ​program​ ​and​ ​may​ ​take​ ​this​ ​into​ ​account when​ ​reviewing​ ​multiple​ ​submissions​ ​from​ ​the​ ​same​ ​authors.​

If​ ​you​ ​have​ ​any​ ​questions​,​ please​ ​email​ ​​ [email protected] .

Important​ ​Dates

• Research paper and tutorial​ ​submission deadline: June 13, 2022, 23:59:59 AoE (extended)
• Author​ ​notification: August 5, 2022
• Camera-ready​: September 9, 2022
• Conference: October​ ​18-20,​ 2022

IEEE Account

• Change Username/Password
• Update Address

Purchase Details

• Payment Options
• Order History
• View Purchased Documents

Profile Information

• Communications Preferences
• Profession and Education
• Technical Interests
• US & Canada: +1 800 678 4333
• Worldwide: +1 732 981 0060
• Contact & Support
• About IEEE Xplore
• Accessibility
• Terms of Use
• Nondiscrimination Policy
• Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. © Copyright 2024 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

WEB DESIGN IEEE PAPERS-2020

Free ieee paper and projects, ieee projects 2022, seminar reports, free ieee projects ieee papers.