A stock survey technique using the time to capture individual fish on longlines

1995 ◽  
Vol 52 (2) ◽  
pp. 260-267 ◽  
Author(s):  
David A. Somerton ◽  
Bert S. Kikkawa
Keyword(s):  
Interspecific Competition ◽  
Relative Abundance ◽  
Fish Abundance ◽  
Fish Populations ◽  
Small Fish ◽  
Target Species ◽  
Time Data ◽  
New Approach ◽  
Survey Technique ◽  
Nontarget Species

Longline catches per unit of effort (CPUE) from research surveys are often assumed to vary in proportion to fish abundance. This assumption, however, may be invalid if the abundance of the target species is high enough to saturate the gear or if the abundance of nontarget species is high enough to exclude the target species from capture. We examine a new approach to surveying fish populations with longlines that is based on time-to-capture data measured with small, fish-activated timing devices attached to every hook. A new measure of relative abundance, λ, is developed that is immune to the effects of gear saturation and interspecific competition for hooks. Two estimators of λ are compared by using capture-time data collected during summer 1987–1991 for pelagic armorhead (Pseudopentaceros wheeleri). Both estimators are shown to be unbiased if the underlying assumptions are true and fairly robust to the observed departures from these assumptions.

scholarly journals New approach for localization and smart data transmission inside underground mine environment

2021 ◽  
Vol 3 (6) ◽  
Author(s):  
Ankita RayChowdhury ◽  
Ankita Pramanik ◽  
Gopal Chandra Roy
Keyword(s):  
Data Transmission ◽  
Signal To Noise Ratio ◽  
Visible Light Communication ◽  
Underground Mine ◽  
Control Room ◽  
Time Data ◽  
New Approach ◽  
Mine Environment ◽  
Surface Control ◽  
Smart Data

AbstractThis paper presents an approach to access real time data from underground mine. Two advance technologies are presented that can improve the adverse environmental effect of underground mine. Visible light communication (VLC) technology is incorporated to estimate the location of miners inside the mine. The distribution of signal to noise ratio (SNR) for VLC system is also studied. In the second part of the paper, long range (LoRa) technology is introduced for transmitting underground information to above the surface control room. This paper also includes details of the LoRa technology, and presents comparison of ranges with existing above the surface technologies.

Food availability and initial relative abundance determine the outcome of interspecific competition between two different-sized cladocerans

2016 ◽  
Vol 101 (3-4) ◽  
pp. 105-112 ◽  
Author(s):  
Rui Chen ◽  
Hengxing Tang ◽  
Feixi Zhao ◽  
Yingyuan Wu ◽  
Yuan Huang ◽  
...  
Keyword(s):  
Interspecific Competition ◽  
Food Availability ◽  
Relative Abundance

A method for analysis of pulmonary arterial and venous occlusion data

1992 ◽  
Vol 73 (3) ◽  
pp. 1190-1195 ◽  
Author(s):  
S. H. Audi ◽  
C. A. Dawson ◽  
J. H. Linehan
Keyword(s):  
Compartmental Model ◽  
Venous Occlusion ◽  
Time Data ◽  
Equilibrium Pressure ◽  
New Approach ◽  
Lung Lobe ◽  
C Distribution ◽  
Average Slope ◽  
Arterial Inflow ◽  
Pulmonary Arterial

Recently, we presented a compartmental model of the pulmonary vascular resistance (R) and compliance (C) distribution with the configuration C1R1C2R2C3 (J. Appl. Physiol. 70: 2126–2136, 1991). This model was used to interpret the pressure vs. time data obtained after the sudden occlusion of the arterial inflow (AO), venous outflow (VO), or both inflow and outflow (DO) from an isolated dog lung lobe. In the present study, we present a new approach to the data analysis in terms of this model that is relatively simple to carry out and more robust. The data used to estimate the R′s and C′s are the steady-state arterial [Pa(0)] and venous [Pv(0)] pressures, the flow rate (Q), the area (A2) encompassed by Pa(t) after AO and the equilibrium pressure (Pd) after DO, and the average slope (m) of the Pa(t) and Pv(t) curves after VO. The following formulas can then be used to calculate the 2 R′s and 3 C′s: [Pa(0) - Pv(0)]/Q = R1 + R2 = RT, R1C1 congruent to to A2/[Pa(0) - Pd], R1 congruent to [Pa(0) - Pd]/Q, Q/m = C1 + C2 + C3 = CT, and C2 = CT - (RTC1/R2).

scholarly journals Overcoming the challenges of measuring the abundance of a cryptic macropod: is a qualitative approach good enough?

2014 ◽  
Vol 41 (1) ◽  
pp. 84 ◽  
Author(s):  
Karlene Bain ◽  
Adrian Wayne ◽  
Roberta Bencini
Keyword(s):  
Population Size ◽  
Relative Abundance ◽  
Spatial Scales ◽  
Faecal Pellet ◽  
Survey Method ◽  
Population Abundance ◽  
Mark Recapture ◽  
Survey Technique ◽  
Threatened Taxa ◽  
Activity Indices

Context An understanding of population size and status is necessary for the implementation of appropriate conservation measures to recover threatened taxa. Mark–recapture studies at large spatial scales are impractical and expensive and a rapid survey technique is an attractive option to provide a measure of relative abundance for cryptic species, using indicators of activity. Aims The aim of our study was to use conventional methods for population estimation to calibrate a rapid survey technique for the quokka (Setonix brachyurus) in the southern forests of Western Australia, with a view to providing quantitative outcomes from this widely adopted monitoring approach. Methods We evaluated the accuracy of relative abundances obtained from the rapid survey technique by comparing them with abundance estimates obtained through established methods for the estimation of populations, including web-based mark–recapture and transect-based counts of activity indicators and sightings. Key results The rapid survey technique was effective at determining presence of quokkas but resulted in an over-estimation of population size because of inaccurate assumptions about occupancy and relative abundance of animals. An alternative survey method based on counts of fresh faecal-pellet groups was found to provide a more reliable and practical estimation of population abundance (R2 = 0.97). Conclusions Activity indices can be used to quantify population abundance, but only for indicators of activity that can be detected readily and for which freshness of activity can be determined. Implications Our findings suggest that a rapid survey based on activity indices can be used to evaluate quantitatively the population size of a species that is rare and potentially mobile at a landscape scale. The attraction of these techniques is that they provide a rapid and inexpensive survey option that is potentially applicable to any cryptic and/or threatened species and is practical for resource-constrained land managers.

Nowcasting: Identifying German Cyclical Turning Points

2017 ◽  
Vol 237 (4) ◽  
pp. 329-341
Author(s):  
Kevin Kovacs ◽  
Bryan Boulier ◽  
Herman Stekler
Keyword(s):  
Real Time ◽  
Turning Points ◽  
Growth Path ◽  
Time Data ◽  
New Approach ◽  
Economic News ◽  
Real Time Data ◽  
Dynamic Growth ◽  
German Data

Abstract Historically, forecasters have failed to predict cyclical turning points and the forecasting record in this regard has not improved. This suggests that we should focus on what should be an easier task, recognizing recessions as they occur. We present a new approach that will enable us to determine in real-time when there is a significant deviation from an economy’s dynamic growth path. This approach uses a CUSUM-like methodology and requires us to construct an index,that we call the Economic News Index, from real-time data that shows how the economy is functioning. We apply this approach to German data to nowcast the recessions that began in 2008 and 2012.

scholarly journals The revolution of personalized psychiatry: will technology make it happen sooner?

2017 ◽  
Vol 48 (5) ◽  
pp. 705-713 ◽  
Author(s):  
G. Perna ◽  
M. Grassi ◽  
D. Caldirola ◽  
C. B. Nemeroff
Keyword(s):  
Clinical Decision Making ◽  
Clinical Decision ◽  
Machine Learning Techniques ◽  
Proof Of Concept ◽  
Time Data ◽  
New Approach ◽  
Technological Advances ◽  
Learning Techniques ◽  
Personalized Psychiatry ◽  
Smart Wearable

Personalized medicine (PM) aims to establish a new approach in clinical decision-making, based upon a patient's individual profile in order to tailor treatment to each patient's characteristics. Although this has become a focus of the discussion also in the psychiatric field, with evidence of its high potential coming from several proof-of-concept studies, nearly no tools have been developed by now that are ready to be applied in clinical practice. In this paper, we discuss recent technological advances that can make a shift toward a clinical application of the PM paradigm. We focus specifically on those technologies that allow both the collection of massive as much as real-time data, i.e., electronic medical records and smart wearable devices, and to achieve relevant predictions using these data, i.e. the application of machine learning techniques.

Evaluation of three relative abundance indices for assessing dingo populations

1996 ◽  
Vol 23 (2) ◽  
pp. 197 ◽  
Author(s):  
L Allen ◽  
R Engeman ◽  
H Krupa
Keyword(s):  
Relative Abundance ◽  
Canis Lupus ◽  
Activity Index ◽  
Correlation Coefficients ◽  
Target Species ◽  
Wild Canids ◽  
Population Reduction ◽  
Abundance Indices ◽  
High Level ◽  
Level Of Agreement

Three methods of assessing relative abundance of wild canids were evaluated on a population of dingoes, Canis lupus dingo (Corbett), on a cattle station in south-westem Queensland. The tested indices relied on measurements of activity based on spoor. Two of the techniques attracted the target species to tracking stations through the use of a novel (fatty acid scent) or food-based (buried meat) attractant. The third index (activity) measured the number of dingo tracks crossing tracking stations placed at 1-km intervals along a road transect. All three indices had a high level of agreement for detecting differences in relative abundance, with correlation coefficients exceeding 0.85. When the stations were analysed in 1-km segments, the activity index proved the most sensitive, producing proportionally more positive responses than either of the other two indices irrespective of whether the tracking stations were assessed at 1-, 2-, 3- or 4-day intervals. Inconsistencies between indices existed, with the derived abundance indices not showing the anticipated reduction following population reduction. The effect of season and the interaction between dingo activity and index methodology are discussed.

Design of a Fault Diagnosis Model for Power System with Based on Multi-Source Information Fusion

2014 ◽  
Vol 681 ◽  
pp. 136-140
Author(s):  
Jing Dong Wang
Keyword(s):  
Expert System ◽  
Knowledge Acquisition ◽  
Information Fusion ◽  
Source Information ◽  
Time Data ◽  
New Approach ◽  
Electric Quantity ◽  
Reasoning Mechanism ◽  
Reasoning Algorithm ◽  
Wave Recorder

In view of inherent insufficiency of traditional power grid fault diagnoses expert system inthe aspect of knowledge acquisition,together with the characteristics of decision tree algorithm andexpert system, this paper puts forward a new power gird fault diagnoses expert system model basedon multi-source information fusion with SCADA switch, fault wave recorder electric quantity andWAMS system of electric quantity.On this foundation,we discuss the reasoning mechanism forpower gird, the reasoning algorithm, and the method of knowledge acquisition of the model. Thepractice results show that this proposed new approach improves the diagnostic accuracy comparedwith the conventional way based merely on switching-time data,and has practical value and goodapplication prospects.

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