# IEEE Access

## Filter Results

Displaying Results 1 - 25 of 274
• ### Data-Based Predictive Control for Wastewater Treatment Process

Publication Year: 2018, Page(s):1498 - 1512
| |PDF (6087 KB)

Wastewater treatment process (WWTP) has long been a challenging industrial issue due to its built-in uncertainties and discontinuous measurement of system states. To solve this problem, in this paper, a data-based predictive control (DPC) strategy, based on the available sensing measurements, is proposed to control the dissolved oxygen (DO) concentration in WWTP. First, a self-organizing fuzzy neu... View full abstract»

• ### An Introduction to Dew Computing: Definition, Concept and Implications

Publication Year: 2018, Page(s):723 - 737
| |PDF (5579 KB)

Since the end of the 1990s, the world has witnessed a tremendous growth in the area of information and communication technology (ICT), starting with grid computing, cloud computing (CC), and fog computing to recently introduced edge computing. Although, these technologies are still in very good shape, they do heavily rely on connectivity, i.e., Internet. To address this challenge, this paper propo... View full abstract»

• ### The Influence of Acute Stress on Brain Dynamics During Task Switching Activities

Publication Year: 2018, Page(s):3249 - 3255
| |PDF (1378 KB) | HTML

Task switching is a common method to investigate executive functions such as working memory and attention. This paper investigates the effect of acute stress on brain activity using task switching. Surprisingly few studies have been conducted in this area. There is behavioral and physiological evidence to indicate that acute stress makes the participants more tense which results in a better perfor... View full abstract»

• ### Palmprint Identification Using an Ensemble of Sparse Representations

Publication Year: 2018, Page(s):3241 - 3248
| |PDF (4927 KB) | HTML

Among various palmprint identification methods proposed in the literature, sparse representation for classification (SRC) is very attractive offering high accuracy. Although SRC has good discriminative ability, its performance strongly depends on the quality of the training data. In particular, SRC suffers from two major problems: lack of training samples per class and large intra-class variations... View full abstract»

• ### Research on Robust Model Predictive Control for Electro-Hydraulic Servo Active Suspension Systems

Publication Year: 2018, Page(s):3231 - 3240
| |PDF (5378 KB) | HTML

The suspension system is an important component of any vehicle as it transmits the force and torque between the wheel and the frame, satisfying the requirements of ride comfort and handling stability. To solve the problem of active suspension control, a seven-degree-of-freedom active suspension system model with electrohydraulic actuators is established. Through the approximate expansion in the ro... View full abstract»

• ### Massive MIMO Uplink Scheme Design and System-Level Performance Analysis

Publication Year: 2018, Page(s):3212 - 3230
| |PDF (5430 KB) | HTML

The intercell interference in massive multiple-input-multiple-output uplink consists of both correlated and uncorrelated components, where the former is due to pilot contamination and the latter is usually neglected in most of the existing literature. In this paper, we show that the uncorrelated intercell interference is actually not negligible for reasonably many antennas at the base station. Hen... View full abstract»

• ### Optimal Variable Transmission for Distributed Local Fault Detection Incorporating RA and Evolutionary Optimization

Publication Year: 2018, Page(s):3201 - 3211
| |PDF (9580 KB) | HTML

Determining the variable transmission structure is the key step in designing a distributed monitoring scheme for multiunit processes. This paper proposes randomized algorithm (RA) integrated with evolutionary optimization-based data-driven distributed local fault detection scheme to achieve efficient monitoring of multiunit chemical processes. First, the RA is employed to generate faulty validatio... View full abstract»

• ### Pneumatic Actuation in Haptic-Enabled Medical Simulators: A Review

Publication Year: 2018, Page(s):3184 - 3200
| |PDF (2134 KB) | HTML

Haptic feedback is essential for achieving virtual and augmented reality (VR/AR) systems with high fidelity and realism. Haptic-enabled VR/AR systems offer a proficient environment in which to enhance the skills of medical practitioners. While pneumatic actuation is traditionally used in heavy automation industries, haptics researchers have utilized pneumatic techniques to produce various haptic e... View full abstract»

• ### Structural Attack on Reduced-Round Skipjack

Publication Year: 2018, Page(s):3176 - 3183
| |PDF (4305 KB) | HTML

In this paper, we present a new structure-recovery cryptanalysis against 16-round Skipjack-like structure in which all the inner transformations are unknown. Our attack is divided into three phases. In the first phase, we use yoyo game to recover the outermost round functions. In the second phase, we use integral attack to achieve the round functions in round 2/3/4/13/14/15. A series of equations ... View full abstract»

• ### Design of RBFN Controller Based Boost Type Vienna Rectifier for Grid-Tied Wind Energy Conversion System

Publication Year: 2018, Page(s):3167 - 3175
| |PDF (6250 KB) | HTML

This paper presents a radial basis function network (RBFN) controller-based three-phase boost-type Vienna rectifier for a grid-tied wind energy conversion system. Boost-type Vienna rectifier is an ac/dc converter characterized by high power density and improved power factor in addition to maintaining a sinusoidal current with low total harmonic distortion at the input side. Such converter systems ... View full abstract»

• ### A Protection Scheme for Multi-Terminal VSC-HVDC Transmission Systems

Publication Year: 2018, Page(s):3159 - 3166
| |PDF (6320 KB) | HTML

High-voltage direct-current (HVDC) power transmission is becoming increasingly important due to steadily rising need for bulk power delivery and interconnected power transmission and distribution systems. DC grids are vulnerable to dc faults, which lead to a rapid rise in dc fault currents. The dc faults must be cleared within the timeframe of milliseconds to avoid the collapse of the HVDC system.... View full abstract»

• ### Classification of Methods in the SINS/CNS Integration Navigation System

Publication Year: 2018, Page(s):3149 - 3158
| |PDF (4442 KB) | HTML

The known methods used for strapdown inertial navigation system (SINS)/celestial navigation system (CNS) integration are classified based on two categories of measurement in this paper. One category is called the “attitude observation method,” in which the measurement is derived by the difference between the optimal attitude information of the star sensor and the SINS. The other cate... View full abstract»

• ### Experiences and Lessons Learned From Making IoT Sensing Platforms for Large-Scale Deployments

Publication Year: 2018, Page(s):3140 - 3148
| |PDF (11197 KB) | HTML

This paper shares experiences and lessons learned from designing and developing the bespoke Internet of Things (IoT) sensing platforms of a sensor platform for healthcare in a residential environment (SPHERE). These IoT platforms, which include a wrist-worn wearable sensor, a room-level environmental sensor, and a dual-radio gateway, constitute integral parts of the SPHERE system that is currently... View full abstract»

• ### Dual PHY Layer for Non-Orthogonal Multiple Access Transceiver in 5G Networks

Publication Year: 2018, Page(s):3130 - 3139
| |PDF (4372 KB) | HTML

Non-orthogonal multiple access (NOMA) is a promising multiple access technique, proposed in literature for the fifth generation (5G) mobile networks. The NOMA system model consists of the conventional orthogonal frequency division multiplexing (OFDM), as a pulse shaping technique in conjunction with a variable power domain for various users, allocated in proportion to each user’s channel ga... View full abstract»

• ### Fatigue Damage Mechanism-Based Dependent Modeling With Stochastic Degradation and Random Shocks

Publication Year: 2018, Page(s):3120 - 3129
| |PDF (6084 KB) | HTML

This paper proposes a dependent modeling method for reliability estimation of metal structures under constant amplitude loading and random shocks considering the nonlinear damage accumulation mechanism. It is well known that a large monotonic plastic zone ahead of a crack tip caused by a spike overload will retard subsequent fatigue crack growth. However, most existing degradation-and-shock depend... View full abstract»

• ### Query-Focused Personalized Citation Recommendation With Mutually Reinforced Ranking

Publication Year: 2018, Page(s):3107 - 3119
| |PDF (5387 KB) | HTML

Many state-of-the-art citation recommendation methods have been proposed for finding a list of reference papers for a given manuscript, among which the graph-based method has gained particular attention, due to its flexibility for incorporating various information that embodies user’s preferences. To achieve a more synthetic, accurate, and personalized recommendation result than the previou... View full abstract»

• ### Cascaded Regional Spatio-Temporal Feature-Routing Networks for Video Object Detection

Publication Year: 2018, Page(s):3096 - 3106
| |PDF (3888 KB) | HTML

This paper presents a cascaded regional spatiotemporal feature-routing networks for video object detection. Region proposal networks in faster region-based convolutional neural network (CNN) generate spatial proposals, whereas neglecting the temporal property of the videos. We incorporate the correlation filter tracking on the convolutional feature maps to explore an efficient and effective spatio... View full abstract»

• ### Linear Space-Time Interference Alignment for $K$ -User MIMO Interference Channels

Publication Year: 2018, Page(s):3085 - 3095
| |PDF (2340 KB) | HTML

Interference is believed to be the most significant bottleneck for the next-generation wireless networks to achieve high throughout. Interference alignment (IA), as a novel interference management scheme to break through the traditional interference cancelation, not only makes the complete mitigation of interference possible but also achieves a theoretical breakthrough in promoting the wireless ne... View full abstract»

• ### Performance Analysis of Wireless Energy Harvesting Multihop Cluster-Based Networks Over Nakagami- ${m}$ Fading Channels

Publication Year: 2018, Page(s):3068 - 3084
| |PDF (7920 KB) | HTML

This paper studies the performance analysis of wireless energy harvesting (EH) cluster-based multi-hop networks, where all communication nodes harvest energy from the radiated signals transmitted by multiple power beacons (PBs) to support the information transmission. To this end, we propose three relay selection schemes. The first scheme tries to select the relay harvesting the largest energy to ... View full abstract»

• ### Decentralized PID Control Design for Magnetic Levitation Systems Using Extremum Seeking

Publication Year: 2018, Page(s):3059 - 3067
| |PDF (2273 KB) | HTML

A decentralized proportional–integral–differential (PID) control structure has been always the first option for magnetic levitation systems due to its model-free nature as well as the simplicity. It is very challenging to tune PID parameters for each suspension point to ensure that the closed-loop system is less sensitive to uncertainties/disturbances. Even though, by a large number ... View full abstract»

• ### Differential Probe Fed Liquid Crystal-Based Frequency Tunable Circular Ring Patch Antenna

Publication Year: 2018, Page(s):3051 - 3058
| |PDF (5669 KB) | HTML

A differential probe-fed liquid crystal (LC)-based frequency tunable circular-ring patch antenna is presented. Besides, cavity model is extended to analyze the LC-based antenna for the differential operation. According to the cavity model, the permittivity and loss tangent of the LC are extracted from the measured differential reflection coefficients. Acceptable agreements among the measurement, s... View full abstract»

• ### Ontology-Based Finite Satisfiability of UML Class Model

Publication Year: 2018, Page(s):3040 - 3050
| |PDF (6071 KB) | HTML

Software models are core artifacts in model driven engineering (MDE) and processable by computer. They are automatically transformed into other models and in MDE, programming code is also produced by the models. The automatic transformation provides a systematic reuse of existing artifacts. However, sometimes models are developed with defects and the defects can implicitly shift into the code, whi... View full abstract»

• ### Dimension Reduction of Channel Correlation Matrix Using CUR-Decomposition Technique for 3-D Massive Antenna System

Publication Year: 2018, Page(s):3031 - 3039
| |PDF (3523 KB) | HTML

Millimeter wave (mm-Wave) communications are emerging to meet the increasing demand for high transmission data rate in high user density areas. Meanwhile, the mm-Wave base station (BS) needs to employ a large number of antenna elements to increase the gain as well as serve a huge number of users. However, a vast number of antenna elements causes dimensionality problem in channel correlation matrix... View full abstract»

• ### SERGE: Successive Event Recommendation Based on Graph Entropy for Event-Based Social Networks

Publication Year: 2018, Page(s):3020 - 3030
| |PDF (1625 KB) | HTML

With the fast development of many event-based social networks (EBSNs), event recommendation, which is to recommend a list of upcoming events to a user according to his preference, has attracted a lot of attentions in both academia and industry. In this paper, we propose a successive event recommendation based on graph entropy (SERGE) to deal with the new event col... View full abstract»

• ### Design and Performance Analysis of a Novel Distributed Queue Access Protocol for Cellular-Based Massive M2M Communications

Publication Year: 2018, Page(s):3008 - 3019
| |PDF (7075 KB) | HTML

This paper proposes a novel access protocol based on the distributed queue (DQ) mechanism to effectively tackle the massive access issue in the cellular-based machine-to-machine (M2M) communications. To fully take the advantage of the DQ mechanism, we newly propose a method to avoid the DQ’s inherent over-division problem by letting the base station first roughly probes the number of collid... View full abstract»

## Aims & Scope

IEEE Access® is a multidisciplinary, applications-oriented, all-electronic archival journal that continuously presents the results of original research or development across all of IEEE's fields of interest. Supported by author publication fees, its hallmarks are a rapid peer review and publication process with open access to all readers.

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## Meet Our Editors

Editor-in-Chief

Michael Pecht, Ph.D.
Professor and Director
CALCE
University of Maryland
ieeeaccess@ieee.org