Integrating side-scan sonar and acoustic telemetry to estimate the annual spawning run size of Atlantic sturgeon in the Hudson River

2020 ◽  
Vol 77 (6) ◽  
pp. 1038-1048 ◽  
Author(s):  
David C. Kazyak ◽  
Amy M. Flowers ◽  
Nathan J. Hostetter ◽  
John A. Madsen ◽  
Matthew Breece ◽  
...  
Keyword(s):  
Acoustic Telemetry ◽  
Hudson River ◽  
Large River ◽  
Atlantic Sturgeon ◽  
Side Scan Sonar ◽  
Novel Approach ◽  
The Status ◽  
Acoustic Tags ◽  
Spawning Run ◽  
Traditional Approaches

There is considerable interest in evaluating the status and trends of sturgeon populations, yet many traditional approaches to estimating the abundance of fishes are intractable due to their biology and rarity. Side-scan sonar has recently emerged as an effective tool for censusing sturgeon in rivers, yet challenges remain for censusing open populations that may visit specific habitats over periods of time (e.g., spawning runs). We use a hierarchical model to integrate side-scan sonar with acoustic telemetry, to estimate the proportion of a spawning run fitted with acoustic tags (12%; 95% CrI = 8%–16%) and extrapolate to the total run size in 2014. Our investigation represents a novel approach to generating run size estimates in a large river and provides the first estimate of Atlantic sturgeon (Acipenser oxyrinchus oxyrinchus) spawning run size for the Hudson River ([Formula: see text] = 466; 95% CrI = 310–745) since the fishery moratorium in the 1990s. Our estimate suggests that the Hudson River holds one of the largest contemporary populations of Atlantic sturgeon, but also indicates that it remains sharply depleted relative to virgin conditions.

Deep AI Enabled Ubiquitous Wireless Sensing

2021 ◽  
Vol 54 (2) ◽  
pp. 1-35
Author(s):  
Chenning Li ◽  
Zhichao Cao ◽  
Yunhao Liu
Keyword(s):  
Great Success ◽  
Wireless Sensing ◽  
Ubiquitous Sensing ◽  
Sensing Systems ◽  
The Status ◽  
Sensing Model ◽  
High Level ◽  
Traditional Approaches ◽  
The Internet Of Things ◽  
High Level Feature

With the development of the Internet of Things (IoT), many kinds of wireless signals (e.g., Wi-Fi, LoRa, RFID) are filling our living and working spaces nowadays. Beyond communication, wireless signals can sense the status of surrounding objects, known as wireless sensing , with their reflection, scattering, and refraction while propagating in space. In the last decade, many sophisticated wireless sensing techniques and systems were widely studied for various applications (e.g., gesture recognition, localization, and object imaging). Recently, deep Artificial Intelligence (AI), also known as Deep Learning (DL), has shown great success in computer vision. And some works have initially proved that deep AI can benefit wireless sensing as well, leading to a brand-new step toward ubiquitous sensing. In this survey, we focus on the evolution of wireless sensing enhanced by deep AI techniques. We first present a general workflow of Wireless Sensing Systems (WSSs) which consists of signal pre-processing, high-level feature, and sensing model formulation. For each module, existing deep AI-based techniques are summarized, further compared with traditional approaches. Then, we provide a view of issues and challenges induced by combining deep AI and wireless sensing together. Finally, we discuss the future trends of deep AI to enable ubiquitous wireless sensing.

scholarly journals A new methodology for monitoring P. oceanica meadows in Tavolara Punta Coda Cavallo MPA using GIS

2015 ◽  
Author(s):  
Pieraugusto Panzalis ◽  
Andrea Deiana ◽  
Sarah Caronni ◽  
Augusto Navone
Keyword(s):  
Scale Up ◽  
Continuous Mapping ◽  
Detailed Knowledge ◽  
Regular Grid ◽  
Side Scan Sonar ◽  
Sea Bottom ◽  
The Status ◽  
Square Cells ◽  
Set Up ◽  
The Many

Marine Protected Areas (MPAs) are acknowledged globally as effective tools for the protection and management of the marine environment; however, to get effective results it is necessary to set up a proper and continuous mapping of the marine territory, in order to gain detailed knowledge of its different aspects. Therefore, the implementation and maintenance of a modern GIS (Geographic Information System) has become an indispensable task for the MPA of Tavolara - Punta Coda Cavallo to collect, aggregate, classify, and track the conducted mapping activities. Between 2011 and 2012 the sea bottom of the MPA was surveyed using different methods: by means of a multi-beam echo sounder and of a side scan sonar, as well as conducting fast scientific scuba divings with re-breathers and underwater position system technologies. High resolution geodatasets, characterized by a significantly high quality in representing and describing the sea bottom and its habitats, were produced in both feature (scale up to 1:1.250) and raster formats (up to 30cm/pixel for sonar images and 1m/pixel for bathymetry) and they currently constitute the basis of the MPA's GIS, including its 3D applications and its web map services for desktop and mobile devices (iPhone & Android). To update the above described geodatasets during time, acquiring new data on the conservation targets considered in monitoring activities, among which the status of P. oceanica meadows is of the most important ones, a long term mapping plan was realized on the basis of an innovative methodology elaborated by the MPA considering both the wideness of the area and the limited funds available at present. The whole MPA was divided in territorial units by means of a regular grid of square cells having a 100m side with the logic of starting the mapping activities from the mainly important areas and then to spread the surveys up to fill the whole mosaic. All the new data acquired with this methodology could then be mixed, compared and indexed within the same cell and/or in the many already available geodatases, starting from those dated 2006 having a regular grid with square cells of 500m per side.

scholarly journals Pills or Sleep Deprivation? Sleep-Deprivation as a Therapeutic Option Intervention in Psychiatry

2020 ◽  
pp. 16-32
Author(s):  
Andrey Viktorovich Antsyborov ◽  
Irina Vladimirovna Dubatova ◽  
Anna Valerievna Kalinchuk
Keyword(s):  
Sleep Deprivation ◽  
Therapeutic Option ◽  
Brain Regions ◽  
Clinical Effects ◽  
Data Set ◽  
Close Supervision ◽  
The Status ◽  
Clinical Conditions ◽  
Traditional Approaches

In recent decades, sleep deprivation has evolved from a single experimental data set to the status of an effective and affordable therapeutic intervention used in daily clinical practice. The mechanism of action of this method is aimed at the same neurotransmitter systems and brain regions as antidepressants. As in the case of pharmacotherapy for sleep deprivation, it should be used under close supervision of a physician. Clinical effects with sleep deprivation are achieved much faster than with psychopharmacotherapy, but they are not long-term in nature. It is possible to improve the results using a combination of pharmacotherapy and sleep deprivation. The use of sleep deprivation in clinical conditions is aimed primarily at preventing depression and its recurrence, as well as in cases resistant to pharmacotherapy. In modern conditions, the method of sleep deprivation is a significant alternative to traditional approaches to therapy of depression.

scholarly journals Adaptive Bacteria Colony Picking in Unstructured Environments Using Intensity Histogram and Unascertained LS-SVM Classifier

2014 ◽  
Vol 2014 ◽  
pp. 1-10
Author(s):  
Kun Zhang ◽  
Minrui Fei ◽  
Xin Li ◽  
Huiyu Zhou
Keyword(s):  
Support Vector Machine ◽  
Mean Shift ◽  
Least Square ◽  
Support Vector ◽  
Svm Classifier ◽  
Least Square Estimation ◽  
Unstructured Environments ◽  
Novel Approach ◽  
Traditional Approaches ◽  
Improved Support Vector Machine

Features analysis is an important task which can significantly affect the performance of automatic bacteria colony picking. Unstructured environments also affect the automatic colony screening. This paper presents a novel approach for adaptive colony segmentation in unstructured environments by treating the detected peaks of intensity histograms as a morphological feature of images. In order to avoid disturbing peaks, an entropy based mean shift filter is introduced to smooth images as a preprocessing step. The relevance and importance of these features can be determined in an improved support vector machine classifier using unascertained least square estimation. Experimental results show that the proposed unascertained least square support vector machine (ULSSVM) has better recognition accuracy than the other state-of-the-art techniques, and its training process takes less time than most of the traditional approaches presented in this paper.

Mining Domain Terminologies Using Search Engine's Query Log

2021 ◽  
Vol 20 (6) ◽  
pp. 1-32
Author(s):  
Weijian Ni ◽  
Tong Liu ◽  
Qingtian Zeng ◽  
Nengfu Xie
Keyword(s):  
Language Processing ◽  
Heterogeneous Network ◽  
Transductive Learning ◽  
Query Log ◽  
Domain Specific ◽  
Novel Approach ◽  
Commercial Search Engine ◽  
Domain Expertise ◽  
Traditional Approaches ◽  
Domain Independent

Domain terminologies are a basic resource for various natural language processing tasks. To automatically discover terminologies for a domain of interest, most traditional approaches mostly rely on a domain-specific corpus given in advance; thus, the performance of traditional approaches can only be guaranteed when collecting a high-quality domain-specific corpus, which requires extensive human involvement and domain expertise. In this article, we propose a novel approach that is capable of automatically mining domain terminologies using search engine's query log—a type of domain-independent corpus of higher availability, coverage, and timeliness than a manually collected domain-specific corpus. In particular, we represent query log as a heterogeneous network and formulate the task of mining domain terminology as transductive learning on the heterogeneous network. In the proposed approach, the manifold structure of domain-specificity inherent in query log is captured by using a novel network embedding algorithm and further exploited to reduce the need for the manual annotation efforts for domain terminology classification. We select Agriculture and Healthcare as the target domains and experiment using a real query log from a commercial search engine. Experimental results show that the proposed approach outperforms several state-of-the-art approaches.

Historical Changes in Large River Fish Assemblages of the Americas

2005 ◽  
Keyword(s):  
Alien Species ◽  
Environmental Changes ◽  
Fish Assemblages ◽  
Fish Fauna ◽  
Large River ◽  
Gold Rush ◽  
Physical Habitat ◽  
San Joaquin River ◽  
The Status ◽  
Native Fishes

<em>Abstract.</em>—In this paper, we review information regarding the status of the native fishes of the combined Sacramento River and San Joaquin River drainages (hereinafter the “Sacramento–San Joaquin drainage”) and the factors associated with their declines. The Sacramento–San Joaquin drainage is the center of fish evolution in California, giving rise to 17 endemic species of a total native fish fauna of 28 species. Rapid changes in land use and water use beginning with the Gold Rush in the 1850s and continuing to the present have resulted in the extinction, extirpation, and reduction in range and abundance of the native fishes. Multiple factors are associated with the declines of native fishes, including habitat alteration and loss, water storage and diversion, flow alteration, water quality, and invasions of alien species. Although native fishes can be quite tolerant of stressful physical conditions, in some rivers of the drainage the physical habitat has been altered to the extent that it is now more suited for alien species. This interaction of environmental changes and invasions of alien species makes it difficult to predict the benefits of restoration efforts to native fishes. Possible effects of climate change on California’s aquatic habitats add additional complexity to restoration of native fishes. Unless protection and restoration of native fishes is explicitly considered in future water management decisions, declines are likely to continue.

Biology, Management, and Protection of North American Sturgeon

2002 ◽  
Keyword(s):  
New York ◽  
South Carolina ◽  
Chesapeake Bay ◽  
Hudson River ◽  
Delaware Bay ◽  
Late Nineteenth Century ◽  
Atlantic Sturgeon ◽  
Preparation Methods ◽  
Abundance Estimate ◽  
Abundance Estimates

<em>Abstract.</em>—This paper analyzes historical abundances of spawning stocks of Atlantic sturgeon <em>Acipenser oxyrinchus</em> during the late nineteenth century, when peak United States harvest of Atlantic sturgeon occurred (3,200 metric tons in 1888). The advent of preparation methods for caviar, transportation networks that allowed export of caviar to Europe, improvements in fishing technology, and development of a domestic smoked sturgeon market caused rapid emergence of an Atlantic sturgeon industry after the Civil War. The industry originated and was centered in the Delaware Bay, which supported the most abundant population on the U.S. East Coast. Important fisheries also developed in the Chesapeake Bay, the Carolinas, and Georgia. Caviar was the principal marketable product of the fishery and large females were targeted, resulting in fisheries collapse at the turn of the century. No substantial resurgence of Atlantic sturgeon landings has occurred in the twentieth century. A previous analysis of U.S. Fish Commission catch and effort records for the Delaware Bay fishery provided an estimate of 180,000 females prior to 1890. The Delaware Bay abundance estimate was extrapolated to other states by calculating the mean level of each state’s contribution to U.S. yields during the period 1880–1901. This approach led to abundance estimates of 29,000 for the Southern States (North Carolina, South Carolina, Georgia, Florida), 20,000 for the Chesapeake Bay (Maryland, Virginia), 180,000 for the Delaware Bay, and 6,000 for the Hudson River (New York). Although the approaches used to estimate historical biomass and abundance contain untested assumptions and biases, the dominance of the Delaware Bay population in comparison to others is in part confirmed by the industry that developed there. Given the uncertainty in abundance estimates, conservative benchmarks are proposed of 10,000 females each, for systems that previously supported important fisheries.

Growth and Survival of Hatchery-Produced Atlantic Sturgeon Released as Young-of-Year into the Hudson River, New York

2012 ◽  
Vol 3 (1) ◽  
pp. 23-32 ◽  
Author(s):  
Jerre W. Mohler ◽  
John A. Sweka ◽  
Andrew Kahnle ◽  
Kathryn Hattala ◽  
Amanda Higgs ◽  
...  
Keyword(s):  
New York ◽  
Atlantic Coast ◽  
Hudson River ◽  
Atlantic Sturgeon ◽  
Growth And Survival ◽  
New York Bight ◽  
Hatchery Fish ◽  
Pectoral Spine ◽  
Acipenser Oxyrinchus ◽  
Pelvic Fin

Abstract In 2007, a team of U.S. scientists performed a status review of Atlantic sturgeon Acipenser oxyrinchus oxyrinchus and concluded that the species would likely become endangered (U.S. Endangered Species Act 1973, as amended) in the foreseeable future over much of its range, including populations of the New York Bight, which is comprised of the Hudson and Delaware rivers. Therefore, we evaluated an experimental release of hatchery-produced Atlantic sturgeon that took place in 1994 to determine the value of using stocked fish as a population recovery tool. We obtained recapture data on hatchery fish (identified by presence of pelvic fin removal) from the Atlantic Coast Sturgeon Tagging Database. Our evaluation of retention for a pelvic fin removal mark on hatchery fish showed that 36% of clipped individuals retained a clean fin clip after 49 d. The minimum survival rate for hatchery fish to age 5 was estimated to be in the range of 0.49–0.66% using documented recaptures (N  =  24), known number of fish stocked, and results of the pelvic fin removal evaluation. Length and weight-at-age for recaptured hatchery fish at known ages 5–17 were within the range of values reported for wild fish whose ages were estimated by pectoral spine analysis. We also report that one ripe male hatchery fish at age 15 was captured along with other spermiating males at its parental spawning area in the Hudson River in 2009.

scholarly journals Optimal Coordination of Overcurrent Relays in Microgrids Considering a Non-Standard Characteristic

Energies ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 922 ◽  
Author(s):  
Sergio Danilo Saldarriaga-Zuluaga ◽  
Jesús María López-Lezama ◽  
Nicolás Muñoz-Galeano
Keyword(s):  
Distribution Networks ◽  
Modern Distribution ◽  
Novel Approach ◽  
Standard Characteristic ◽  
Fixed Parameter ◽  
Reliable Performance ◽  
Overcurrent Relays ◽  
Optimal Coordination ◽  
Traditional Approaches ◽  
Operational Modes

The optimal coordination of overcurrent relays (OCRs) has recently become a major challenge owing to the ever-increasing participation of distributed generation (DG) and the multi-looped structure of modern distribution networks (DNs). Furthermore, the changeable operational topologies of microgrids has increased the complexity and computational burden to obtain the optimal settings of OCRs. In this context, classical approaches to OCR coordination might no longer be sufficient to provide a reliable performance of microgrids both in the islanded and grid-connected operational modes. This paper proposes a novel approach for optimal coordination of directional OCRs in microgrids. This approach consists of considering the upper limit of the plug setting multiplier (PSM) as a variable instead of a fixed parameter as usually done in traditional approaches for OCRs coordination. A genetic algorithm (GA) was implemented to optimize the limits of the maximum PSM for the OCRs coordination. Several tests were performed with an IEC microgrid benchmark network considering several operational modes. Results showed the applicability and effectiveness of the proposed approach. A comparison with other studies reported in the specialized literature is provided showing the advantages of the proposed approach.

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