scholarly journals Trajectory Design for UAV-Based Data Collection Using Clustering Model in Smart Farming

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 37
Author(s):  
Tariq Qayyum ◽  
Zouheir Trabelsi ◽  
Asad Malik ◽  
Kadhim Hayawi
Keyword(s):  
Data Collection ◽  
Base Station ◽  
Second Phase ◽  
Trajectory Design ◽  
Delay Sensitive ◽  
Clustering Model ◽  
Proposed Model ◽  
Smart Farming ◽  
Two Phases ◽  
Collection Phase

Unmanned aerial vehicles (UAVs) play an important role in facilitating data collection in remote areas due to their remote mobility. The collected data require processing close to the end-user to support delay-sensitive applications. In this paper, we proposed a data collection scheme and scheduling framework for smart farms. We categorized the proposed model into two phases: data collection and data scheduling. In the data collection phase, the IoT sensors are deployed randomly to form a cluster based on their RSSI. The UAV calculates an optimum trajectory in order to gather data from all clusters. The UAV offloads the data to the nearest base station. In the second phase, the BS finds the optimally available fog node based on efficiency, response rate, and availability to send workload for processing. The proposed framework is implemented in OMNeT++ and compared with existing work in terms of energy and network delay.

scholarly journals SWIPT in mMIMO system with non-linear energy-harvesting terminals: protocol design and performance optimization

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Kui Xu ◽  
Ming Zhang ◽  
Jie Liu ◽  
Nan Sha ◽  
Wei Xie ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Performance Optimization ◽  
Power Transmission ◽  
Base Station ◽  
Second Phase ◽  
Wireless Power ◽  
Half Duplex ◽  
Non Linear ◽  
Two Phases ◽  
And Performance

Abstract In this paper, we design the simultaneous wireless information and power transfer (SWIPT) protocol for massive multi-input multi-output (mMIMO) system with non-linear energy-harvesting (EH) terminals. In this system, the base station (BS) serves a set of uplink fixed half-duplex (HD) terminals with non-linear energy harvester. Considering the non-linearity of practical energy-harvesting circuits, we adopt the realistic non-linear EH model rather than the idealistic linear EH model. The proposed SWIPT protocol can be divided into two phases. The first phase is designed for terminals EH and downlink training. A beam domain energy beamforming method is employed for the wireless power transmission. In the second phase, the BS forms the two-layer receive beamformers for the reception of signals transmitted by terminals. In order to improve the spectral efficiency (SE) of the system, the BS transmit power- and time-switching ratios are optimized. Simulation results show the superiority of the proposed beam-domain SWIPT protocol on SE performance compared with the conventional mMIMO SWIPT protocols.

scholarly journals Estudio de la enseñanza de ecosistemas amazónicos a través de la metodología de aprendizaje basada en la resolución de problemas (ABRP)

2018 ◽  
Vol 22 ◽  
pp. 9
Author(s):  
Carlos Henrique Nascimento ◽  
Ires Paula de Andrade Miranda
Keyword(s):  
Problem Solving ◽  
Data Collection ◽  
Primary School ◽  
School Environment ◽  
Problem Based Learning ◽  
Problem Formulation ◽  
Teaching Methodology ◽  
Second Phase ◽  
Two Phases ◽  
Selection Of

The purpose was to analyze the Problem-based learning (PBL) as a methodological alternative for primary school that favor learning about Amazonian ecosystems. This research is descriptive with a qualitative-quantitative approach. The study was carried out with students from the 9th year of primary school. The teaching methodology based on the PBL was applied in two phases: In the first phase, a test of previous conceptions was carried out in order to know the perception of the students on topics related to some units of landscapes of the Amazonian ecosystems. The second phase consisted of the implementation of the learning methodology in the school environment. Four different phases were established in the application: i) selection of topics; ii) problem formulation; iii) problem solving; iv) synthesis and evaluation. The data collection instruments used were: preconceptions test and skills chart. The results showed that after the application of the ABRP methodology, the cognitive recognition of the Amazonian ecosystems can be perceived in the students, reaching additional goals that the PCN establish.

Multi-Vehicle Trajectory Design During Cooperative Adaptive Cruise Control Platoon Formation

2020 ◽  
Vol 2674 (4) ◽  
pp. 30-41 ◽  
Author(s):  
Qinzheng Wang ◽  
Xianfeng (Terry) Yang ◽  
Zhitong Huang ◽  
Yun Yuan
Keyword(s):  
Fuel Consumption ◽  
Adaptive Cruise Control ◽  
Second Phase ◽  
Trajectory Design ◽  
Cruise Control ◽  
Basic Scenario ◽  
Vehicle Trajectories ◽  
Cooperative Adaptive Cruise Control ◽  
Proposed Model ◽  
Study Results

Cooperative adaptive cruise control (CACC) organizes connected and automated vehicles (CAVs) in platoons to improve traffic flow and reduce fuel consumption. Platoon formation involves a very complex process, however, because lateral and longitudinal misbehavior of CAVs results in greater fuel consumption and risk of collision. This study aims to design optimal vehicle trajectories of CAVs during CACC platoon formation. First, a basic scenario and a destination-based protocol are described to determine vehicle sequence in the platoon. A space-time lattice based model is then formulated to construct vehicle trajectories considering boundary conditions of kinematic limits, vehicle-following safety, and lane-changing rules. The objective is to optimize the vehicle sequence and fuel consumption simultaneously. A two-phase algorithm is proposed to solve this model, where the first phase is a heuristic algorithm that determines vehicle sequence and in the second phase dynamic programming is adapted to optimize fuel consumption based on the determined sequence. To evaluate the effectiveness of the proposed model in designing CAV trajectories, extensive experimental tests have been conducted in this study. Results show that the proposed model and algorithm can effectively optimize CAV sequence in the platoon based on their destinations. After optimization, CAV fuel consumption was reduced by 42%, 46%, and 43%, respectively, in three different tested scenarios.

scholarly journals On Throughput for UAV Relay Assisted for Use in Disaster Communications

2021 ◽  
Author(s):  
Van Vo Nhan ◽  
Dang Ngoc Cuong ◽  
Tran Ban Thach ◽  
Hung Tran
Keyword(s):  
System Performance ◽  
Multiple Access ◽  
Base Station ◽  
Closed Form Expression ◽  
Second Phase ◽  
Form Expression ◽  
Decode And Forward ◽  
Disaster Communications ◽  
Aerial Vehicle ◽  
Two Phases

In this paper, the system performance of an energy harvesting (EH) unmanned aerial vehicle (UAV) system for use in disasters was investigated. The communication protocol was divided into two phases. In the first phase, a UAV relay (UR) harvested energy from a power beacon (PB). In the second phase, a base station (BS) transmitted the signal to the UR using non-orthogonal multiple access (NOMA); then, the UR used its harvested energy from the first phase to transfer the signal to two sensor clusters, i.e., low-priority and high-priority clusters, via the decode-and-forward (DF) technique. A closed-form expression for the throughput of the cluster heads of these clusters was derived to analyze the system performance. Monte Carlo simulations were employed to verify our approach.

scholarly journals CITYGML MODELLING FOR SINGAPORE 3D NATIONAL MAPPING

2017 ◽  
Vol XLII-4/W7 ◽  
pp. 37-42 ◽  
Author(s):  
K. H. Soon ◽  
V. H. S. Khoo
Keyword(s):  
Data Collection ◽  
3D Models ◽  
Second Phase ◽  
3D Mapping ◽  
Scanning Technique ◽  
Land Survey ◽  
Open Geospatial Consortium ◽  
Mobile Imaging ◽  
Two Phases

Since 2014, the Land Survey Division of Singapore Land Authority (SLA) has spearheaded a Whole-of-Government (WOG) 3D mapping project to create and maintain a 3D national map for Singapore. The implementation of the project is divided into two phases. The first phase of the project, which was based on airborne data collection, has produced 3D models for Relief, Building, Vegetation and Waterbody. This part of the work was completed in 2016. To complement the first phase, the second phase used mobile imaging and scanning technique. This phase is targeted to be completed by the mid of 2017 and is creating 3D models for Transportation, CityFurniture, Bridge and Tunnel. The project has extensively adopted the Open Geospatial Consortium (OGC)'s CityGML standard. Out of 10 currently supported thematic modules in CityGML 2.0, the project has implemented 8. The paper describes the adoption of CityGML in the project, and discusses challenges, data validations and management of the models.

scholarly journals Automatic Academic Paper Rating Based on Convolutional Neural Network

2019 ◽  
pp. 569-574
Author(s):  
Mubeena A. K ◽  
Shahad P.
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Word Embedding ◽  
Second Phase ◽  
Personal Factors ◽  
Rating Score ◽  
Academic Paper ◽  
Proposed Model ◽  
Two Phases ◽  
Source Paper

As an ever increasing number of academic papers are being submitted to journals and conferences, assessing every one of these papers by experts is tedious and can cause imbalance because of the personal factors of the reviewers. In this system, in order to help professionals in assessing academic papers, here propose a task: Automatic Academic Paper Rating (AAPR), which automatically determine whether to accept academic papers. We build a convolutional neural network (CNN) model to achieve automatic academic paper rating task. It has two phases, first phase is identifying abstract part of source paper and generate rating score using CNN model and second phase is taking decision based on the score to accept or decline papers. This model takes word embedding of the abstracts as the input and learns useful features. The word embedding used for training the model is a semantically enriched set of Word2Vec word embedding. After the training phase, the proposed model will be able to generate the score of a new abstract. And find that the title and abstract parts have the most influence on whether the source paper quality when setting aside the other part of source papers. The proposed system outperforms the state-of-art technique.

ACO_NB-Based Hybrid Prediction Model for Medical Disease Diagnosis

2021 ◽  
pp. 526-536
Author(s):  
Amit Kumar ◽  
Manish Kumar ◽  
Nidhya R.
Keyword(s):  
Prediction Model ◽  
Disease Diagnosis ◽  
Second Phase ◽  
Data Sets ◽  
Feature Subset ◽  
Hybrid Prediction ◽  
Related Data ◽  
Medical Disease ◽  
Proposed Model ◽  
Two Phases

In recent years, a huge increase in the demand of medically related data is reported. Due to this, research in medical disease diagnosis has emerged as one of the most demanding research domains. The research reported in this chapter is based on developing an ACO (ant colony optimization)-based Bayesian hybrid prediction model for medical disease diagnosis. The proposed model is presented in two phases. In the first phase, the authors deal with feature selection by using the application of a nature-inspired algorithm known as ACO. In the second phase, they use the obtained feature subset as input for the naïve Bayes (NB) classifier for enhancing the classification performances over medical domain data sets. They have considered 12 datasets from different organizations for experimental purpose. The experimental analysis advocates the superiority of the presented model in dealing with medical data for disease prediction and diagnosis.

scholarly journals Patient attitudes toward physicians

2019 ◽  
Vol 26 (1) ◽  
pp. 19-47 ◽  
Author(s):  
Mahmud Akhter Shareef ◽  
Yogesh K. Dwivedi ◽  
Norm Archer ◽  
Mohammad Mahboob Rahman
Keyword(s):  
Empirical Study ◽  
Healthcare Services ◽  
Medical Services ◽  
Second Phase ◽  
Patient Attitudes ◽  
Content Type ◽  
Proposed Model ◽  
Personal Physician ◽  
Two Phases ◽  
Research Structure

PurposeStakeholders affiliated with healthcare services should understand patient attitudes and criteria that are involved in selecting a personal physician. The purpose of this paper is to identify the factors that are significant to patients in selecting or deselecting physicians as providers of healthcare services.Design/methodology/approachThe research structure was set to theorize the physician selection criteria (PSC) model into two phases. The first phase developed a conceptual model as revealed from healthcare consumer perceptions. The second phase was designed to test and validate the model through cause–effect statistical analysis underpinned by theoretical explanations through an empirical study.FindingsThrough an empirical study of benchmarking perceptions of people from 15 different countries, qualitative PSC were gathered and used to formulate an initial PSC model. Based on the proposed model, a validity test was conducted, and finally, the PSC model was developed, resulting in several interesting and self-explanatory outcomes.Research limitations/implicationsThe model was tested in only one (relatively cosmopolitan) city. For proper generalization, it should be tested in countries with differing healthcare service systems.Practical implicationsThe results of this study are interesting, important and have potential values to academics and medical professionals. The study provides strong evidence that a physician’s external approach to patients is the most significant issue for patients seeking medical services. This does not refer to basic medical services, but rather the treatment process, where the physician’s behavior and positive attitude has the strongest effect on the patient’s decision to choose one physician over others.Originality/valueFinal PSC model has identified some significant theoretical explanations for academics and professional justifications for practitioners.

scholarly journals System Performance Analysis for an Energy Harvesting IoT System Using a DF/AF UAV-Enabled Relay with Downlink NOMA under Nakagami-m Fading

Sensors ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 285
Author(s):  
Anh-Nhat Nguyen ◽  
Van Nhan Vo ◽  
Chakchai So-In ◽  
Dac-Binh Ha
Keyword(s):  
Energy Harvesting ◽  
System Performance ◽  
Base Station ◽  
Second Phase ◽  
Power Splitting ◽  
Amplify And Forward ◽  
Decode And Forward ◽  
Adaptive Power ◽  
Outage Probabilities ◽  
Two Phases

This paper investigates system performance in the Internet of Things (IoT) with an energy harvesting (EH) unmanned aerial vehicle (UAV)-enabled relay under Nakagami-m fading, where the time switching (TS) and adaptive power splitting (APS) protocols are applied for the UAV. Our proposed system model consists of a base station (BS), two IoT device (ID) clusters (i.e., a far cluster and a near cluster), and a multiantenna UAV-enabled relay (UR). We adopt a UR-aided TS and APS (U-TSAPS) protocol, in which the UR can dynamically optimize the respective power splitting ratio (PSR) according to the channel conditions. To improve the throughput, the nonorthogonal multiple access (NOMA) technique is applied in the transmission of both hops (i.e., from the BS to the UR and from the UR to the ID clusters). The U-TSAPS protocol is divided into two phases. In the first phase, the BS transmits a signal to the UR. The UR then splits the received signal into two streams for information processing and EH using the APS scheme. In the second phase, the selected antenna of the UR forwards the received signal to the best far ID (BFID) in the far cluster and the best near ID (BNID) in the near cluster using the decode-and-forward (DF) or amplify-and-forward (AF) NOMA scheme. We derive closed-form expressions for the outage probabilities (OPs) at the BFID and BNID with the APS ratio under imperfect channel state information (ICSI) to evaluate the system performance. Based on these derivations, the throughputs of the considered system are also evaluated. Moreover, we propose an algorithm for determining the nearly optimal EH time for the system to minimize the OP. In addition, Monte Carlo simulation results are presented to confirm the accuracy of our analysis based on simulations of the system performance under various system parameters, such as the EH time, the height and position of the UR, the number of UR antennas, and the number of IDs in each cluster.

scholarly journals Comparative analysis of the assortment structure of poplar clones I-214 and Pannonia

2020 ◽  
pp. 31-46
Author(s):  
Milorad Danilovic ◽  
Dragan Rakovic ◽  
Dusan Isajev ◽  
Slavica Antonic
Keyword(s):  
Data Collection ◽  
Second Phase ◽  
Detailed Measurement ◽  
Populus Euramericana ◽  
Poplar Clone ◽  
Poplar Clones ◽  
Poplar Trees ◽  
Significant Difference ◽  
Two Phases

Poplars occupy about 31.4 million ha in the world, while in Serbia poplars spread over the area of 48.000 ha. The subject of this research are artificially raised poplar plantations, consisting of poplar clone I-214 (Populus?euramericana (Dode) Guinier cl. I-214) and poplar clone Pannonia (Populus?euramericana (Dode) Guinier cl. Pannonia). Field activities of collecting data required for this research were conducted in two phases. The first phase of data collection included measurement of tree diameter. Also, the numbering, marking and recording of poplar rows, as well as each poplar in the row, was conducted. The second phase of data collection was conducted after the felling of trees that were selected for detailed measurement of the elements required for theoretical cross cutting. In accordance with the general principles of cross cutting, as well as the principles of maximum financial effect, the qualitative partition of trunks into several variants was performed. The classification of wood assortments was performed on the basis of SRPS wood standards. The share of technical wood for veneer (F and L class) in the analyzed poplar trees clone I-214 is 47.54% of the total volume of wood assortments. When it comes to the clone Pannonia, logs for cutting (quality class II), have the greatest share in total volume of wood assortments with 44.08. There is no statistically significant difference between the total volume and the value of the assortments of the two analyzed poplar clones, except when it comes to assortments for chemical exploitation where statistical differences exist.

Sign in / Sign up

Export Citation Format

Share Document