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Total 1395 results found since Jan 2013.

Sensors, Vol. 18, Pages 119: A Novel Residual Frequency Estimation Method for GNSS Receivers
ng Ta In Global Navigation Satellite System (GNSS) receivers, residual frequency estimation methods are traditionally applied in the synchronization block to reduce the transient time from acquisition to tracking, or they are used within the frequency estimator to improve its accuracy in open-loop architectures. There are several disadvantages in the current estimation methods, including sensitivity to noise and wide search space size. This paper proposes a new residual frequency estimation method depending on differential processing. Although the complexity of the proposed method is higher than the one of traditional ...
Source: Sensors - January 4, 2018 Category: Biotechnology Authors: Tu Nguyen Vinh La Tung Ta Tags: Article Source Type: research

Sensors, Vol. 18, Pages 561: Force Modeling, Identification, and Feedback Control of Robot-Assisted Needle Insertion: A Survey of the Literature
ong Sun Robot-assisted surgery is of growing interest in the surgical and engineering communities. The use of robots allows surgery to be performed with precision using smaller instruments and incisions, resulting in shorter healing times. However, using current technology, an operator cannot directly feel the operation because the surgeon-instrument and instrument-tissue interaction force feedbacks are lost during needle insertion. Advancements in force feedback and control not only help reduce tissue deformation and needle deflection but also provide the surgeon with better control over the surgical instruments. The ...
Source: Sensors - February 12, 2018 Category: Biotechnology Authors: Chongjun Yang Yu Xie Shuang Liu Dong Sun Tags: Review Source Type: research

Sensors, Vol. 18, Pages 1123: Signal Quality Improvement Algorithms for MEMS Gyroscope-Based Human Motion Analysis Systems: A Systematic Review
dén Motion sensors such as MEMS gyroscopes and accelerometers are characterized by a small size, light weight, high sensitivity, and low cost. They are used in an increasing number of applications. However, they are easily influenced by environmental effects such as temperature change, shock, and vibration. Thus, signal processing is essential for minimizing errors and improving signal quality and system stability. The aim of this work is to investigate and present a systematic review of different signal error reduction algorithms that are used for MEMS gyroscope-based motion analysis systems for human motion analysis...
Source: Sensors - April 6, 2018 Category: Biotechnology Authors: Jiaying Du Christer Gerdtman Maria Lind én Tags: Review Source Type: research

Sensors, Vol. 18, Pages 1741: Two-Dimensional Direction-of-Arrival Fast Estimation of Multiple Signals with Matrix Completion Theory in Coprime Planar Array
angzhi Li In estimating the two-dimensional (2D) direction-of-arrival (DOA) using a coprime planar array, the main issues are the high complexity of spectral peak search and the limited degree of freedom imposed by the number of sensors. In this paper, we present an algorithm based on the matrix completion theory in coprime planar array that reduces the computational complexity and obtains a high degree of freedom. The algorithm first analyzes the covariance matrix of received signals to estimate the covariance matrix of a virtual uniform rectangular array, which has the same aperture as the coprime planar array. Matri...
Source: Sensors - May 28, 2018 Category: Biotechnology Authors: Haiyun Xu Yankui Zhang Bin Ba Daming Wang Xiangzhi Li Tags: Article Source Type: research

Sensors, Vol. 18, Pages 2240: Improved ABC Algorithm Optimizing the Bridge Sensor Placement
eng Inspired by sensor coverage density and matching & preserving strategy, this paper proposes an Improved Artificial Bee Colony (IABC) algorithm which is designed to optimize bridge sensor placement. We use dynamic random coverage coding method to initialize colony to ensure the diversity and effectiveness. In addition, we randomly select the factors with lower trust value to search and evolve after food source being matched in order that the relatively high trust point factor is retained in the exploitation of food sources, which reduces the blindness of searching and improves the efficiency of convergen...
Source: Sensors - July 11, 2018 Category: Biotechnology Authors: Jianhui Yang Zhenrui Peng Tags: Article Source Type: research

Sensors, Vol. 18, Pages 2705: Smart Data-Driven Optimization of Powered Prosthetic Ankles Using Surface Electromyography
In this study, a novel evidence-based tuning method was presented using multi-channel electromyogram data from the residual limb, and a model for muscle activity was built. Tuning using this model requires an exhaustive search over all the possible combinations of parameters, leading to computationally inefficient system. Various data-driven optimization methods were investigated and a modified Nelder–Mead algorithm using a Latin Hypercube Sampling method was introduced to tune the powered prosthetic. The results of the modified Nelder–Mead optimization were compared to the Exhaustive search, Ge...
Source: Sensors - August 17, 2018 Category: Biotechnology Authors: Roozbeh Atri J. Sebastian Marquez Connie Leung Masudur R. Siddiquee Douglas P. Murphy Ashraf S. Gorgey William T. Lovegreen Ding-Yu Fei Ou Bai Tags: Article Source Type: research

Sensors, Vol. 18, Pages 2852: An Intelligent Computing Method for Contact Plan Design in the Multi-Layer Spatial Node-Based Internet of Things
i Guo Computational Intelligence (CI) has been addressed as a great challenge in recent years, particularly the aspects of routing, task scheduling, and other high-complexity issues. Especially for the Contact Plan Design (CPD) that schedules contacts in dynamic and resource-constrained networks, a suitable CI algorithm can be exchanged for a high-quality Contact Plan (CP) with the appropriate computational overhead. Previous works on CPD mainly focused on the optimization of satellite network connectivity, but most of them ignored network topology characteristics. In this paper, we study the CPD issue in the spatial n...
Source: Sensors - August 29, 2018 Category: Biotechnology Authors: Cui-Qin Dai Qingyang Song Lei Guo Tags: Article Source Type: research

Sensors, Vol. 18, Pages 3791: Multitarget Tracking Algorithm Based on Adaptive Network Graph Segmentation in the Presence of Measurement Origin Uncertainty
ru Song To deal with the problem of multitarget tracking with measurement origin uncertainty, the paper presents a multitarget tracking algorithm based on Adaptive Network Graph Segmentation (ANGS). The multitarget tracking is firstly formulated as an Integer Programming problem for finding the maximum a posterior probability in a cost flow network. Then, a network structure is partitioned using an Adaptive Spectral Clustering algorithm based on the Nyström Method. In order to obtain the global optimal solution, the parallel A* search algorithm is used to process each sub-network. Moreover, the trajectory ...
Source: Sensors - November 6, 2018 Category: Biotechnology Authors: Tianli Ma Song Gao Chaobo Chen Xiaoru Song Tags: Article Source Type: research

Sensors, Vol. 19, Pages 251: Optimal Resource Management and Binary Power Control in Network-Assisted D2D Communications for Higher Frequency Reuse Factor
hin Device-to-device (D2D) communications can be adopted as a promising solution to attain high quality of service (QoS) for a network. However, D2D communications generates harmful interference when available resources are shared with traditional cellular users (CUs). In this paper, network architecture for the uplink resource management issue for D2D communications underlaying uplink cellular networks is proposed. We develop a fractional frequency reuse (FFR) technique to mitigate interference induced by D2D pairs (DPs) to CUs and mutual interference among DPs in a cell. Then, we formulate a sum throughput optimizati...
Source: Sensors - January 10, 2019 Category: Biotechnology Authors: Devarani Devi Ningombam Seokjoo Shin Tags: Article Source Type: research

Sensors, Vol. 19, Pages 311: Dynamic Load Balancing of Software-Defined Networking Based on Genetic-Ant Colony Optimization
Youn Load Balancing (LB) is one of the most important tasks required to maximize network performance, scalability and robustness. Nowadays, with the emergence of Software-Defined Networking (SDN), LB for SDN has become a very important issue. SDN decouples the control plane from the data forwarding plane to implement centralized control of the whole network. LB assigns the network traffic to the resources in such a way that no one resource is overloaded and therefore the overall performance is maximized. The Ant Colony Optimization (ACO) algorithm has been recognized to be effective for LB of SDN among several existin...
Source: Sensors - January 14, 2019 Category: Biotechnology Authors: Hai Xue Kyung Tae Kim Hee Yong Youn Tags: Article Source Type: research

Sensors, Vol. 19, Pages 448: Indexing Multivariate Mobile Data through Spatio-Temporal Event Detection and Clustering
Pazzani Mobile and wearable devices are capable of quantifying user behaviors based on their contextual sensor data. However, few indexing and annotation mechanisms are available, due to difficulties inherent in raw multivariate data types and the relative sparsity of sensor data. These issues have slowed the development of higher level human-centric searching and querying mechanisms. Here, we propose a pipeline of three algorithms. First, we introduce a spatio-temporal event detection algorithm. Then, we introduce a clustering algorithm based on mobile contextual data. Our spatio-temporal clustering approach can be us...
Source: Sensors - January 22, 2019 Category: Biotechnology Authors: Reza Rawassizadeh Chelsea Dobbins Mohammad Akbari Michael Pazzani Tags: Article Source Type: research

Sensors, Vol. 19, Pages 677: Toward a Robust Multi-Objective Metaheuristic for Solving the Relay Node Placement Problem in Wireless Sensor Networks
o Soto During the last decade, Wireless sensor networks (WSNs) have attracted interest due to the excellent monitoring capabilities offered. However, WSNs present shortcomings, such as energy cost and reliability, which hinder real-world applications. As a solution, Relay Node (RN) deployment strategies could help to improve WSNs. This fact is known as the Relay Node Placement Problem (RNPP), which is an NP-hard optimization problem. This paper proposes to address two Multi-Objective (MO) formulations of the RNPP. The first one optimizes average energy cost and average sensitivity area. The second one optimizes the two...
Source: Sensors - February 7, 2019 Category: Biotechnology Authors: Jos é M. Lanza-Gutiérrez Nuria Caball é Juan A. G ómez-Pulido Broderick Crawford Ricardo Soto Tags: Article Source Type: research

Sensors, Vol. 19, Pages 1327: Dimension Reduction for Hyperspectral Remote Sensor Data Based on Multi-Objective Particle Swarm Optimization Algorithm and Game Theory
Yang Wang Information entropy and interclass separability are adopted as the evaluation criteria of dimension reduction for hyperspectral remote sensor data. However, it is rather single-faceted to simply use either information entropy or interclass separability as evaluation criteria, and will lead to a single-target problem. In this case, the chosen optimal band combination may be unfavorable for the improvement of follow-up classification accuracy. Thus, in this work, inter-band correlation is considered as the premise, and information entropy and interclass separability are synthesized as the evaluation criterio...
Source: Sensors - March 15, 2019 Category: Biotechnology Authors: Gao Yang Zhang Li Yang Wang Tags: Article Source Type: research

Sensors, Vol. 19, Pages 2007: An Advanced Algorithm for Higher Network Navigation in Social Internet of Things Using Small-World Networks
ng Choi The Internet of Things (IoT) is a recent evolutionary technology that has been the primary focus of researchers for the last two decades. In the IoT, an enormous number of objects are connected together using diverse communications protocols. As a result of this massive object connectivity, a search for the exact service from an object is difficult, and hence the issue of scalability arises. In order to resolve this issue, the idea of integrating the social networking concept into the IoT, generally referred as the Social Internet of Things (SIoT) was introduced. The SIoT is gaining popularity and attracting th...
Source: Sensors - April 28, 2019 Category: Biotechnology Authors: Farhan Amin Rashid Abbasi Abdul Rehman Gyu Sang Choi Tags: Article Source Type: research

Sensors, Vol. 19, Pages 2154: Joint Optimization of Interference Coordination Parameters and Base-Station Density for Energy-Efficient Heterogeneous Networks
Shugong Xu Heterogeneous networks (HetNets), consisting of macro-cells and overlaying pico-cells, have been recognized as a promising paradigm to support the exponential growth of data traffic demands and high network energy efficiency (EE). However, for two-tier heterogeneous architecture deployment of HetNets, the inter-tier interference will be challenging. Time domain further-enhanced inter-cell interference coordination (FeICIC) proposed in 3GPP Release-11 becomes necessary to mitigate the inter-tier interference by applying low power almost blank subframe (ABS) scheme. Therefore, for HetNets deployment in real...
Source: Sensors - May 8, 2019 Category: Biotechnology Authors: Yanzan Sun Han Xu Shunqing Zhang Yating Wu Tao Wang Yong Fang Shugong Xu Tags: Article Source Type: research