Design of Autonomous Unmanned System for Aerial Operations From Underwater Platforms

2021 ◽  
Author(s):  
Vindhya Devalla ◽  
Cris Thomas ◽  
Adthithiyan Neduncheran ◽  
Shiv Capoor ◽  
Amit Kumar Mondal
Keyword(s):  
Aerial Survey ◽  
Key Factors ◽  
Efficient Manner ◽  
Military Tactics ◽  
Land Mass ◽  
Open Land ◽  
Novel Method ◽  
Unmanned System ◽  
Design Options ◽  
Mass Surveillance

Abstract Surveillance and reconnaissance play a very important role in military and civil aspects. They are the key factors in military tactics and in the event of civilian calamities. In case of naval warfare, the submarines which are operating under deep water are required to carry out open land mass surveillance in an efficient manner without reaching to the water surface nor revealing their presence and position. This research paper proposes the conceptualized design to develop an autonomous unmanned octocopter system which is capable of being launched from an underwater platform such as submarines, with the help of a tethered launching mechanism known as octopod, to carry out surveillance, reconnaissance and payload delivery. In this paper, we present a novel method for development of UAV with special application on aerial survey from underwater platforms. A variety of design options which are investigated from various trade studies to evaluate the performance along with design configuration to satisfy the specific requirements are also presented in this paper.

scholarly journals CHANGE DETECTION AND DEFORMATION ANALYSIS BASED ON MOBILE LASER SCANNING DATA OF URBAN AREAS

2020 ◽  
Vol V-2-2020 ◽  
pp. 703-710
Author(s):  
J. Gehrung ◽  
M. Hebel ◽  
M. Arens ◽  
U. Stilla
Keyword(s):  
Change Detection ◽  
Urban Areas ◽  
Laser Scanning ◽  
State Of The Art ◽  
Point Clouds ◽  
Deformation Analysis ◽  
Lidar Data ◽  
Efficient Manner ◽  
Incomplete Observations ◽  
Novel Method

Abstract. Change detection is an important tool for processing multiple epochs of mobile LiDAR data in an efficient manner, since it allows to cope with an otherwise time-consuming operation by focusing on regions of interest. State-of-the-art approaches usually either do not handle the case of incomplete observations or are computationally expensive. We present a novel method based on a combination of point clouds and voxels that is able to handle said case, thereby being computationally less expensive than comparable approaches. Furthermore, our method is able to identify special classes of changes such as partially moved, fully moved and deformed objects in addition to the appeared and disappeared objects recognized by conventional approaches. The performance of our method is evaluated using the publicly available TUM City Campus datasets, showing an overall accuracy of 88 %.

scholarly journals PRICE DEMAND MODEL FOR A CLOUD CACHE

2010 ◽  
pp. 246-249
Author(s):  
SHAIK MOHAMMED GOUSE ◽  
G. PRAKASH BABU
Keyword(s):  
User Satisfaction ◽  
Dynamic Pricing ◽  
Optimal Pricing ◽  
Demand Model ◽  
Efficient Manner ◽  
Cloud Data ◽  
Pricing Scheme ◽  
Novel Method ◽  
Time Changes ◽  
Price Demand

Cloud applications that offer data management services are emerging. Such clouds support caching of data in order to provide quality query services. The users can query the cloud data, paying the price for the infrastructure they use. Cloud management necessitates an economy that manages the service of multiple users in an efficient, but also, resource economic way that allows for cloud profit. Naturally, the maximization of cloud profit given some guarantees for user satisfaction presumes an appropriate price-demand model that enables optimal pricing of query services. The model should be plausible in that it reflects the correlation of cache structures involved in the queries. Optimal pricing is achieved based on a dynamic pricing scheme that adapts to time changes. This paper proposes a novel price-demand model designed for a cloud cache and a dynamic pricing scheme for queries executed in the cloud cache. The pricing solution employs a novel method that estimates the correlations of the cache services in an time-efficient manner. The experimental study shows the efficiency of the solution.

An Improvement on Deep Time Growing Neural Network on Biological Signals: Review

2018 ◽  
Vol 8 (5) ◽  
pp. 21
Author(s):  
Manpreet Kaur ◽  
Jashanpreet Kaur
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Research Papers ◽  
Efficient Manner ◽  
Deep Time ◽  
Novel Method ◽  
Cyclic Time ◽  
Stochastic Time Series ◽  
Stochastic Time ◽  
Multiple Class

A novel method for learning the cyclic contents of stochastic time series: the deep time-growing neural network (DTGNN). The DTGNN combines supervised and unsupervised methods in different levels of learning for an enhanced performance. It was employed by a multiscale learning structure to classify cyclic time series (CTS), in which the dynamic contents of the time series are preserved in an efficient manner. This paper suggests a systematic procedure for finding the design parameter of the classification method for a one versus-multiple class application. In this paper different authors research papers are reviewed and different problems are stored and now these problems are resolved.

Towards Efficient Trust Aware E-Marketplace Frameworks

2010 ◽  
pp. 273-283
Author(s):  
Malamati Louta ◽  
Angelos Michalas
Keyword(s):  
Service Providers ◽  
Quality Level ◽  
Service Provisioning ◽  
Key Factors ◽  
Efficient Manner ◽  
Time Period ◽  
Service Operation ◽  
Cost Efficient ◽  
Posted Offer

In the liberalized and deregulated e-marketplace some key factors for service providers’ success are the following. First, the efficiency with which services will be developed. Second, the quality level, in relation with the corresponding cost, of new services. Third, service providers’ reliability with respect to service provisioning. Fourth, the efficiency with which the services will be operated (controlled, maintained, administered, etc.). The aim of this paper is, in accordance with efficient service operation objectives, to propose enhancements to the sophistication of the negotiation functionality that can be offered by e-commerce systems in open competitive communications environments. In the highly competitive and dynamic emarketplaces, Service/Product Requestors (SPRs) should be provided with mechanisms that enable them to find and associate with the most appropriate Service/Product Providers (SPPs), i.e., those offering the desirable quality of service / product at a certain time period, in a cost efficient manner. Such mechanisms may entail a wide variety of negotiation mechanisms, including auctions, bilateral (1 to 1) and/or multilateral (M to N) negotiation models and strategies, as well as posted offer schemes (i.e., a nonnegotiable, take-it-or-leave-it offer) in order to establish the ‘best’ possible contract terms and conditions with respect to service / product access and provision.

A Review on the Application of In Vitro and In Vivo Models of Cancerous Tumors for the Study of the Hyperthermia Effect

2019 ◽  
Author(s):  
Zahra Zahedi-Tabar ◽  
Shadab Bagheri-Khoulenjani ◽  
Saeid Amanpour ◽  
Hamid Mirzadeh
Keyword(s):  
Animal Models ◽  
Cancer Site ◽  
Key Factors ◽  
In Vivo Models ◽  
Factors Affecting ◽  
Nanoparticle Distribution ◽  
Diffusion Media ◽  
Novel Method

Hyperthermia is a novel method for cancer therapy. To have the best control when heating tissues in hyperthermia, the use of magnetic nanoparticles is suggested. The local control of heat is very important in this technique, to prevent the damage of healthy tissues around the tumor, and therefore it is necessary to measure changes in temperature to determine the optimum conditions in which hyperthermia can create the desired results. The type and concentration of nanoparticles and nanoparticle distribution within the cancerous tissue are key factors affecting temperature distribution throughout the hyperthermia process. One of the main factors influencing nanoparticle distribution is the characteristics of the diffusion media, such as chemical composition, morphological and mechanical features, all of which affect the diffusion of nanoparticles at the cancer site. In this review, the most common in vitro and in vivo media and their influence on the results of hyperthermia are discussed. We also mention in silico as a computational model. Buffer solutions, cell cultures, microfluids, dead tissues and animal models are some of the in vitro media that are discussed in this review paper. In addition, some of the animal models used for hyperthermia will be mentioned.

scholarly journals Concept and proof for an all-silicon MEMS micro speaker utilizing air chambers

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Bert Kaiser ◽  
Sergiu Langa ◽  
Lutz Ehrig ◽  
Michael Stolz ◽  
Hermann Schenk ◽  
...  
Keyword(s):  
Sound Pressure ◽  
Harmonic Distortion ◽  
Smart Devices ◽  
Mems Devices ◽  
Key Factors ◽  
Unit Costs ◽  
Linearity Improvement ◽  
Design Options ◽  
High Sound ◽  
Chip Volume

Abstract MEMS-based micro speakers are attractive candidates as sound transducers for smart devices, particularly wearables and hearables. For such devices, high sound pressure levels, low harmonic distortion and low power consumption are required for industrial, consumer and medical applications. The ability to integrate with microelectronic circuitry, as well as scalable batch production to enable low unit costs, are the key factors benchmarking a technology. The Nanoscopic Electrostatic Drive based, novel micro speaker concept presented in this work essentially comprises in-plane, electrostatic bending actuators, and uses the chip volume rather than the its surface for sound generation. We describe the principle, design, fabrication, and first characterization results. Various design options and governing equations are given and discussed. In a standard acoustical test setup (ear simulator), a MEMS micro speaker generated a sound pressure level of 69 dB at 500 Hz with a total harmonic distortion of 4.4%, thus proving the concept. Further potential on sound pressure as well as linearity improvement is outlined. We expect that the described methods can be used to enhance and design other MEMS devices and foster modeling and simulation approaches.

scholarly journals Data Trustworthiness Evaluation in Mobile Crowdsensing Systems with Users’ Trust Dispositions’ Consideration

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1326 ◽  
Author(s):  
Eva Zupančič ◽  
Borut Žalik
Keyword(s):  
Smart Devices ◽  
Accurate Information ◽  
Key Factors ◽  
Gompertz Function ◽  
Subjective Data ◽  
Mobile Crowdsensing ◽  
Novel Method ◽  
Data Trustworthiness ◽  
Willingness To Contribute ◽  
Analyze Data

Mobile crowdsensing is a powerful paradigm that exploits the advanced sensing capabilities and ubiquity of smartphones in order to collect and analyze data on a scale that is impossible with fixed sensor networks. Mobile crowdsensing systems incorporate people and rely on their participation and willingness to contribute up-to-date and accurate information, meaning that such systems are prone to malicious and erroneous data. Therefore, trust and reputation are key factors that need to be addressed in order to ensure sustainability of mobile crowdsensing systems. The objective of this work is to define the conceptual trust framework that considers human involvement in mobile crowdsensing systems and takes into account that users contribute their opinions and other subjective data besides the raw sensing data generated by their smart devices. We propose a novel method to evaluate the trustworthiness of data contributed by users that also considers the subjectivity in the contributed data. The method is based on a comparison of users’ trust attitudes and applies nonparametric statistic methods. We have evaluated the performance of our method with extensive simulations and compared it to the method proposed by Huang that adopts Gompertz function for rating the contributions. The simulation results showed that our method outperforms Huang’s method by 28.6% on average and the method without data trustworthiness calculation by 33.6% on average in different simulation settings.

scholarly journals Beyond Il-5: Metabolic Reprogramming and Stromal Support Are Prerequisite for Generation and Survival of Long-Lived Eosinophil

Cells ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 815
Author(s):  
Mackenzie E. Coden ◽  
Matthew T. Walker ◽  
Brian M. Jeong ◽  
Andrew R. Connelly ◽  
Reina Nagasaka ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Ex Vivo ◽  
Metabolic Reprogramming ◽  
Metabolic Adaptation ◽  
Key Factors ◽  
Large Numbers ◽  
Stromal Support ◽  
Health And Disease ◽  
Novel Method

Eosinophils play surprisingly diverse roles in health and disease. Accordingly, we have now begun to appreciate the scope of the functional and phenotypic heterogeneity and plasticity of these cells. Along with tissue-recruited subsets during inflammation, there are tissue resident eosinophil phenotypes with potentially longer life spans and less dependency on IL-5 for survival. Current models to study murine eosinophils ex vivo rely on IL-5-sustained expansion of eosinophils from bone marrow hematopoietic progenitors. Although it does generate eosinophils (bmEos) in high purity, such systems are short-lived (14 days on average) and depend on IL-5. In this report, we present a novel method of differentiating large numbers of pure bone marrow-derived eosinophils with a long-lived phenotype (llEos) (40 days on average) that require IL-5 for initial differentiation, but not for subsequent survival. We identified two key factors in the development of llEos: metabolic adaptation and reprogramming induced by suppressed nutrient intake during active differentiation (from Day 7 of culture), and interaction with IL-5-primed stromal cells for the remainder of the protocol. This regimen results in a higher yield and viability of mature eosinophils. Phenotypically, llEos develop as Siglec-F(+)Ly6G(+) cells transitioning to Siglec-F(+) only, and exhibit typical eosinophil features with red eosin granular staining, as well as the ability to chemotax to eotaxin Ccl11 and process fibrinogen. This culture system requires less reagent input and allows us to study eosinophils long-term, which is a significant improvement over IL-5-driven differentiation protocols. Moreover, it provides important insights into factors governing eosinophil plasticity and the ability to assume long-lived IL-5-independent phenotypes.

Preparation and Characterization of Cerium Hydrate Fiber

2007 ◽  
Vol 336-338 ◽  
pp. 2182-2185
Author(s):  
Jia Ming Sung ◽  
Sung En Lin ◽  
Wen Cheng J. Wei
Keyword(s):  
Aspect Ratio ◽  
Ph Value ◽  
Ambient Pressure ◽  
Key Factors ◽  
Aging Period ◽  
Starting Solution ◽  
Sodium Hydrate ◽  
Heating Treatment ◽  
Novel Method

Cerium hydrate fiber (CHF), which showed an aspect ratio greater than 100, was synthesized by a novel method, which used the mixing of cerium nitrate (Ce(NO3)3), sodium hydrate (NaOH) and citric acid (C6H8O7) synthesized at a relative low temperature and ambient pressure. The precipitates were characterized by XRD, SEM and TEM. The results showed that in addition to fibers, two morphologies could be obtained depending on the synthesizing conditions. Aging time and formulation were two key factors for the control of the aspect ratio of the precipitates. By a heating treatment at 600oC for 2 h, the homogenous and well-crystallized cerium dioxide (CeO2) fiber can be fabricated. The effects of synthesis parameters, such as the concentration of the starting solution, aging period, and pH value were reported and discussed.

scholarly journals CRISPR/Cas12a-Based Assay for the Rapid and High-Sensitivity Detection of Streptococcus Agalactiae Colonization in Pregnant Women with Premature Rupture of Membrane

2021 ◽  
Author(s):  
Donghong Yu ◽  
Bin Liang ◽  
Haipo Xu ◽  
Zhoujie Ye ◽  
Zhihui Wu ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Streptococcus Agalactiae ◽  
Limit Of Detection ◽  
High Sensitivity ◽  
Cross Reactivity ◽  
Premature Rupture ◽  
Efficient Manner ◽  
Novel Method ◽  
High Sensitivity Detection ◽  
Sensitivity Detection

Abstract Background Streptococcus agalactiae or group B Streptococcus (GBS) is a leading infectious cause of neonatal morbidity and mortality. This study aims to establish a novel method, termed as the CRISPR-GBS assay, for the rapid and sensitive detection of GBS that is based on the clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated protein (Cas) system. Results The CRISPR-GBS assay detected GBS in the samples within 35 min. The limit of detection was as low as 5 copies/µL and showed no cross-reactivity with other microorganisms. The clinical performance was assessed using vaginal or cervical swab samples that were collected from 179 pregnant women with premature rupture of membrane. Compared with the culture-based matrix-assisted laser desorption ionization time-of-flight mass spectrometry method, the CRISPR-GBS assay demonstrated a sensitivity of 96.64% (144/149, 95% confidence interval [CI] = 92.39–98.56%) and a specificity of 100% (30/30, 95% CI = 88.65–100%). It also had a high concordance rate of 98.88% with the real-time fluorescence polymerase chain reaction assay. Conclusions The CRISPR-GBS assay can be used for rapid and high-sensitivity detection of GBS in a simple and cost-efficient manner; thus, it offers a novel method for intrapartum screening.

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