scholarly journals Determine the impact on fisheries by predicting the migration of fish near Scotland

2021 ◽  
Vol 631 (1) ◽  
pp. 012041
Author(s):  
Dongpeng Hou
Keyword(s):  
Seawater Temperature ◽  
Minimum Cost ◽  
Relative Distance ◽  
Fish Migration ◽  
Migration Speed ◽  
Fishing Vessel ◽  
Fresh Fish ◽  
Maximum Range ◽  
Speed Range ◽  
The Impact

Abstract As global warming getting more severe in recent decades, the seawater temperature has also increased dramatically, which leads Atlantic fish heading north, so are two important economic fish spcies in Scotland, Scottish herring and mackerel. This paper discusses the impact of temperature change on the two species, and offer improvement methods for the small Scotland-based fishing companies. According the history temperature data in Scotland and the surrounding waters, we use a time series algorithm to predict the temperature range over next 50 years. Then establish a cost equation with parameters based on the relative distance and temperature. We obtain minimum cost from the predicted temperature and the relative distance from shoals. The result shows that in the next 50 years, a portion of the Scottish herring will move first northeast and then north, and the mackerel will move near the coast of Norway. The speed range of fish is obtained from previous model. Furthermore, maximum range of fishing time is obtained under different fish migration speed and fishing vessel speed. The best, worst and most likely case for fishing companies are defined and found. Which are they can fish before 2033 at lowest fish migration speed, they can not fish at the highest speed after 2051, and can not sell fresh fish anymore at 2040 respectively.

scholarly journals Studying the Dietary Habits of Seafood Consumption among Saudis and Residents in the Province of Delam at Prince Sattam bin Abdulaziz University: دراسة العادات الغذائية لاستهلاك الأسماك بين السعوديين والمقيمين بمحافظة الدلم بجامعة الأمير سطام بن عبد العزيز

2019 ◽  
Vol 3 (3) ◽  
Author(s):  
Maalem Haasan Al- Moaleem
Keyword(s):  
Public Health ◽  
Saudi Arabia ◽  
Dietary Habits ◽  
University Education ◽  
Seafood Consumption ◽  
Fresh Fish ◽  
Fish Meat ◽  
Side Dish ◽  
The Impact ◽  
Fried Potatoes

  This study was conducted in order to identify the dietary habits of fish consumption in the province of Delam in Saudi Arabia where four hundred and fifty questionnaire were distributed to the employees of Prince Sattam bin Abdulaziz University during the month of Rabee I until Rajab 1440H. The results of the analysis in three hundred answered questionnaire showed that the sample of Saudis was (84.7%) and the percentage of university education (68.7%). The study showed that fish meat ranked third in the preference for meat types and that the fresh fish is preferred in the purchase followed by canned fish. The preferred types of fish are shrimp, grouper, kennad, net, poetic, nagel, and white. Moreover, the study confirmed that (46.3%) of individuals prefer to eat it once a week, cooked at home, and grilled. Furthermore, preferred side dish with fish was fried potatoes. The study indicates that the percentage of fish consumed by non- Saudis is higher which was twice in the week for non- Saudis and once a week for Saudis. This may be due to different dietary habits among individuals or the impact of prices, consumption habits, or distance from the coast. The study concluded the need for further studies to educate individuals about the benefits of fish and the importance of Public Health.  

scholarly journals Analysis of Minimum Cost of Supply Chain Emergencies Based on Diffusion Path Processing

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yan Cao ◽  
Tian Tian ◽  
Wanyu Wei ◽  
Liang Huang ◽  
Yujia Wu
Keyword(s):  
Supply Chain ◽  
Clustering Algorithm ◽  
Minimum Cost ◽  
Diffusion Path ◽  
Critical Event ◽  
Design Structure ◽  
Perform Cluster Analysis ◽  
The Impact ◽  
The Relationship ◽  
Case Data

In view of the complexity and severity of the impact of supply chain emergencies on enterprise economy, this paper proposes modular processing to improve the design structure matrix (DMS), and the designed clustering algorithm is used to perform cluster analysis of the improved DMS, to predict the possible diffusion path of emergencies, and to establish the critical event diffusion path planning model by designing the critical event diffusion path storage method. As in the case data of a certain type of servo motor of the H Company, after data screening, the diffusion path is classified and stored by analyzing the relationship between each member of the supply chain network. Secondly, the same group of data is put into the method of this paper and other scholars’ to calculate the minimum cost of emergency response in time.

scholarly journals Heatwaves during low tide are critical for the physiological performance of intertidal macroalgae under global warming scenarios

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Marta Román ◽  
Salvador Román ◽  
Elsa Vázquez ◽  
Jesús Troncoso ◽  
Celia Olabarria
Keyword(s):  
Global Warming ◽  
Iberian Peninsula ◽  
Air Temperature ◽  
Sublethal Effects ◽  
Seawater Temperature ◽  
Critical Factor ◽  
Physiological Performance ◽  
Air Temperatures ◽  
Cystoseira Tamariscifolia ◽  
The Impact

AbstractThe abundance and distribution of intertidal canopy-forming macroalgae are threatened by the increase in sea surface temperature and in the frequency and intensity of heatwaves caused by global warming. This study evaluated the physiological response of predominant intertidal macroalgae in the NW Iberian Peninsula (Bifurcaria bifurcata, Cystoseira tamariscifolia and Codium tomentosum) to increased seawater temperature during immersion and increased air temperatures during consecutive emersion cycles. We combined field mensuration and laboratory experiments in which we measured mortality, growth, maximum quantum yield and C:N content of the macroalgae. Air temperature was a critical factor in determining physiological responses and survivorship of all species, whereas high seawater temperature had sublethal effects. Cystoseira tamariscifolia suffered the greatest decreases in Fv/Fm, growth and the highest mortality under higher air temperatures, whereas C. tomentosum was the most resistant and resilient species. Two consecutive cycles of emersion under atmospheric heatwaves caused cumulative stress in all three macroalgae, affecting the physiological performance and increasing the mortality. The potential expansion of the warm-temperate species B. bifurcata, C. tamariscifolia and C. tomentosum in the NW Iberian Peninsula in response to increasing seawater temperature may be affected by the impact of increased air temperature, especially in a region where the incidence of atmospheric heatwaves is expected to increase.

Dial-a-Ride Problem with Users’ Accept/Reject Decisions Based on Service Utilities

2020 ◽  
Vol 2674 (10) ◽  
pp. 55-67
Author(s):  
Xiaotong Dong ◽  
David Rey ◽  
S. Travis Waller
Keyword(s):  
Minimum Cost ◽  
Collective Choice ◽  
Profit Margin ◽  
User Preference ◽  
Computational Time ◽  
Optimal Solutions ◽  
Mobility Service ◽  
Shared Mobility ◽  
Computationally Expensive ◽  
The Impact

The classic dial-a-ride problem (DARP) aims at designing the minimum-cost routing that accommodates all requests under a set of constraints. However, several modeling and computational challenges have hindered the successful deployment of dial-a-ride solutions. This work proposes incorporating user preference decisions within a rich DARP formulation. Specifically, it is considered that two travel modes are available: a shared mobility (DARP) service and a private travel option. Utility functions for each travel mode are integrated and it is assumed that the utility of the shared mobility service depends on the collective choice of travelers whereas the utility of private travel is fixed. Assuming that travelers are rational and seek to maximize their trip utility, extra variables and constraints are added to ensure that all requests are served by the mode with the higher utility. The behavior of the proposed integrated DARP with formulation of user preference constraints is examined by comparing the optimal solutions and computational time of this model with its classic DARP counterpart. Furthermore, the impact of various formulations of fare and the tolerance of the integrated DARP model is explored. Results show that user-personalized fare formulation improves model tolerance and profit margin, albeit it is rather computationally expensive.

scholarly journals Research on Absolute Positioning Sensor Based on Eddy Current Reflection for High-Speed Maglev Train

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5167
Author(s):  
Xiaobo Hong ◽  
Jun Wu ◽  
Yunzhou Zhang ◽  
Yongxiang He
Keyword(s):  
Eddy Current ◽  
High Speed ◽  
The Novel ◽  
Maglev Train ◽  
Compact Structure ◽  
Absolute Positioning ◽  
Eddy Current Effect ◽  
Speed Range ◽  
The Impact ◽  
Detection Coil

A novel absolute positioning sensor for high-speed maglev train based on eddy current effect is studied in this paper. The sensor is designed with photoelectric switch and four groups of unilateral coplanar code-reading detection coil combination. The photoelectric switch realizes the positioning of the marker plate, and the four groups of detection coils read the mileage code of the mileage sign plate to obtain the absolute mileage information of the vehicle, which effectively reduces the quality and volume of the sensor, and reduces the impact of ice and snow. At the same time, the code-reading reliability and speed adaptability index are proposed. The code-reading reliability of the sensor is analyzed and tested under the fluctuation of levitation guidance, and the positioning error under the speed range of 0–600 km/h is calculated and analyzed. The results show that the novel sensor has the advantages of simple and compact structure. It still satisfies the system’s requirements for absolute vehicle mileage information under the conditions of vehicle operating attitude fluctuations and changes in the full operating speed range.

Bus Optimization for Low Power in High-Level Synthesis

2003 ◽  
Vol 12 (01) ◽  
pp. 1-17
Author(s):  
Sungpack Hong ◽  
Taewhan Kim
Keyword(s):  
Optimal Solution ◽  
Minimum Cost ◽  
Maximum Flow ◽  
High Level Synthesis ◽  
Benchmark Problems ◽  
Timing Constraints ◽  
Power Efficient ◽  
High Level ◽  
The Impact ◽  
Operation Scheduling

Sub-micron feature sizes have resulted in a considerable portion of power to be dissipated on the buses, causing an increased attention on savings for power at the behavioral level and the RT level of design. This paper addresses the problem of minimizing power dissipated in the switching of the buses in the high-level synthesis of data-dominated behavioral descriptions. Unlike the previous approaches in which the minimization of the power consumed in buses has not been considered until operation scheduling is completed, our approach integrates the bus binding problem into scheduling to exploit the impact of scheduling on the reduction of power dissipated on the buses more fully and effectively. We accomplish this by formulating the problem into a flow problem in a network, and devising an efficient algorithm which iteratively finds the maximum flow of minimum cost solutions in the network. Experimental results on a number of benchmark problems show that given resource and global timing constraints our designs are 19.8% power-efficient over the designs produced by a random-move based solution, and 15.5% power-efficient over the designs by a clock-step based optimal solution.

Limited static and dynamic delivering capacity allocations in scale-free networks

2017 ◽  
Vol 28 (11) ◽  
pp. 1750140 ◽  
Author(s):  
N. Ben Haddou ◽  
H. Ez-Zahraouy ◽  
A. Rachadi
Keyword(s):  
Dynamic Properties ◽  
Minimum Cost ◽  
Network Capacity ◽  
Capacity Allocation ◽  
Traffic Information ◽  
Node Degree ◽  
Scale Free ◽  
Routing Strategy ◽  
The Impact ◽  
Allocation Strategies

In traffic networks, it is quite important to assign proper packet delivering capacities to the routers with minimum cost. In this respect, many allocation models based on static and dynamic properties have been proposed. In this paper, we are interested in the impact of limiting the packet delivering capacities already allocated to the routers; each node is assigned a packet delivering capacity limited by the maximal capacity [Formula: see text] of the routers. To study the limitation effect, we use two basic delivering capacity allocation models; static delivering capacity allocation (SDCA) and dynamic delivering capacity allocation (DDCA). In the SDCA, the capacity allocated is proportional to the node degree, and for DDCA, it is proportional to its queue length. We have studied and compared the limitation of both allocation models under the shortest path (SP) routing strategy as well as the efficient path (EP) routing protocol. In the SP case, we noted a similarity in the results; the network capacity increases with increasing [Formula: see text]. For the EP scheme, the network capacity stops increasing for relatively small packet delivering capability limit [Formula: see text] for both allocation strategies. However, it reaches high values under the limited DDCA before the saturation. We also find that in the DDCA case, the network capacity remains constant when the traffic information available to each router was updated after long period times [Formula: see text].

A Replacement Model for Multi-Tool Transfer Lines

1990 ◽  
Vol 112 (3) ◽  
pp. 253-259 ◽  
Author(s):  
S. B. Billatos ◽  
L. A. Kendall
Keyword(s):  
Minimum Cost ◽  
Renewal Function ◽  
Production Time ◽  
Tool Failure ◽  
Transfer Lines ◽  
Premature Failure ◽  
Reliability Level ◽  
Transfer Line ◽  
Tool Replacement ◽  
The Impact

Transfer lines have long been used for machining a single product at high production rates. This study deals with the transfer line, in particular, estimating the production time per part and the effect of using probability models in describing tool and machine lives. The production time is estimated using three major causes of line stoppage. An aspiration level criterion is used to establish a scheduled tool replacement interval. The aspiration decision parameter is system reliability. It is shown how a scheduled tool replacement interval could be established to obtain this reliability level. A methodology for selecting the replacement interval for a group of tools is developed and the impact of changing this interval on tool changing costs and tool failure costs is discussed. In this study, only a single premature tool failure is assumed to occur; however, the results are compared with multiple tool failures using the renewal function. It is shown that this single premature failure analysis is equivalent to the renewal function approach for machining systems having a reliability greater than 50 percent and tool failure variabilities having a coefficient of variation less than 1.0. Using the model developed in this paper, an example problem is presented. For this problem, electromechanical equipment failure and tool wear failures are modeled using the exponential and the Weibull probability distributions, respectively. Scheduled tool replacement intervals are developed for a range of target reliabilities. The part cycle time and operating cost for the transfer line based on these reliabilities are computed. These results are compared to the minimum cost reliability level. The minimum cost operating condition is dependent on the ratio of the scheduled replacement costs over the failure replacement costs. For the example presented, the reliability level at minimum cost is much lower than the desired target value of .9. This result illustrates the importance of conducting a careful analysis and using the results to help guide operating practices toward more efficient tool change practices and maintenance policies.

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