Static Location Research Articles

Compo-Sable Virtual Memory Conspire For Dynamic Binding & Relocation of Utilizations

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ANALISIS POTENSI DAERAH DALAM PENGEMBANGAN KOMODITI UNGGULAN KABUPATEN BOJONEGORO TAHUN 2014-2018

The object of this study is an analysis of the potential of the region in developing superior commodities in Bojonegoro Regency data obtained from the Central Statistics Agency for Bojonegoro Regency and East Java Province. This study uses Static Location Quetien (SLQ) analysis, Dynamic Location Quetien (DLQ), Location Quetien (combination of SLQ and DLQ), Classic Shift Share, and Klassen Typology. The base sector in Bojonegoro Regency is. Agriculture, forestry and fisheries sector; mining and excavation sector; information and communication sector; government administration, defense and mandatory social security sectors. From the results of the Classical Shift Share analysis it is known that the results of the growth rate of the mining and quarrying sector in Bojonegoro Regency have the highest value among the other sectors which is 32,678,357. Sectors included in the fast-forward and fast-growing category in Bojonegoro Regency are the wholesale and retail trade sectors; provision of accommodation and food and drink; real estate sector; and the company's service sector.

Predicting Saccadic Eye Movements in Free Viewing of Webpages

Attention modeling for webpages has emerged as a new research direction in computer vision. Despite an amount of research effort, most studies have focused on estimating webpage saliency to reveal the static location of human fixations. Without temporal information, existing models cannot interpret the dynamic properties of the actual attention process in free-viewing webpages. To solve this problem, we propose a webpage-based saccadic model in this study to model dynamic visual search behaviors of humans when they view webpages. In the first stage, we utilize the support vector machine to learn the mapping from multilevel saliency features to an initial probability of being fixated. In the second stage, we combine the mechanisms of spatial bias and inhibition of return with the estimation of the initial probability to iteratively predict a sequence of successive fixations for each webpage image. Experimental results on a benchmark eye-tracking data set for webpages have demonstrated that the proposed model outperforms the state-of-the-art saccadic methods.

Using hydrodynamic testing to assess the performance of fouling control coatings

Static immersion studies are commonly used to assess the performance of fouling control coatings. While these tests provide valuable data, it is also of importance to understand the drag forces associated with the accrued fouling communities and the velocities required for fouling removal. Replicates of five commercially available coatings were deployed at two test sites located along the east coast of Florida. After four months of immersion, the coatings were subjected to known water velocities in a high-speed boat modified for hydrodynamic testing. Hard fouling adhesion measurements were taken to determine the attachment strength of organisms which remained on the panels. The type and extant of fouling varied based on static immersion location, this in turn influenced the fouling removal and the associated drag. While fouling removal was observed on all coatings, the percent removal was related to the coating type and the overall community structure. Those organisms which have a higher profile were easily removed. Lower form foulers, especially those with hard structures, had a minimum removal even at some of the top speeds. The data collected from this series of tests, enabled the fouling control and fouling release properties of each coating to be characterized.

The cost-effectiveness of an HCV outreach intervention for at-risk populations in London, UK.

BackgroundHCV disproportionately affects marginalized communities such as homeless populations and people who inject drugs (PWID), posing a challenge to traditional health services. The HepFriend initiative in London is a model of care utilizing HCV outreach screening and peer support to link vulnerable individuals to HCV treatment in secondary care.ObjectivesTo assess the cost-effectiveness of the HepFriend initiative from a healthcare provider perspective, compared with standard-of-care pathways (consisting of testing in primary care and other static locations, including drug treatment centres, and linkage to secondary care).MethodsCost-effectiveness analysis using a dynamic HCV transmission and disease progression model among PWID and those who have ceased injecting, including housing status and drug treatment service contact. The model was parameterized using London-specific surveillance and survey data, and primary intervention cost and effectiveness data (September 2015 to June 2018). Out of 461 individuals screened, 197 were identified as HCV RNA positive, 180 attended secondary care and 89 have commenced treatment to date. The incremental cost-effectiveness ratio (ICER) was determined using a 50 year time horizon.ResultsFor a willingness-to-pay threshold of £20000 per QALY gained, the HepFriend initiative is cost-effective, with a mean ICER of £9408/QALY, and would become cost saving at 27% (£10525 per treatment) of the current drug list price. Results are robust to variations in intervention costs and model assumptions, and if treatment rates are doubled the intervention becomes more cost-effective (£8853/QALY).ConclusionsNew models of care that undertake active case-finding with enhanced peer support to improve testing and treatment uptake amongst marginalized and vulnerable groups could be highly cost-effective and possibly cost saving.

Object Search System in the Image

The topic of the article relates to the direction of digital image processing. The main topic of the article is the method between the frame difference. The task is to get acquainted with the basic principles of constructing monitoring systems that are used to detect objects of various kinds by analyzing images. Under the analysis of images in this paper, one should understand the pixel subtraction of two images. In this paper, describe the typical problems that concern a system of this kind. Also, features of the use of other methods that can be used for analysis in such systems are described.The purpose of this method is to analyze the methods of processing images that need to be taken into account in order to implement one of the methods of such a system in practice. To implement it in practice, the method of segmentation is selected, later on. Terms of work with hardware solutions, the data they work with and the data that are used by the user after processing can vary greatly. For example, if you are dealing with a binary black and white image, you need to historically simplify it compared to the random, when the input across all-round raster with paid cross-colors from one to the other. The image can be enlarged with a static camera location, so all the frames will have each other background with possible differences in lighting level. On the other hand, the camera located on the moving object may be different with respect to it. The noise level can vary greatly. Natural phenomena, such as rain, snow, fog, wind, can make a noticeable element in the primary real estate. Please describe what manipulations can be made with one or more frames that should be in this case.Most single-dimensional signal processing methods (for example, a median filter) are applied to two-dimensional signals that are an image. Some of these one-dimensional methods are considerably complicated with the transition to a two-dimensional signal. Signal processing is widely used for Fourier transforms, as well as wavelet transform and Gabor filter. Image processing is divided into processing in the spatial region (brightness transformation, gamma correction, etc.) and frequency (Fourier transform, etc.)This article is an overview on the topic of image processing, which deals with the topic of searching for moving and static objects through image analysis. It mentions typical tasks for image processing, editing and retouching, compensation for loss of sharpness, text recognition, computer vision and methods for processing them: gradation, spatial, arithmetic logic. One of the arithmetic-logical methods, the method of segmentation was described more widely. Those signs that must be taken into account when constructing a processing system based on it: texture, shape, motion, brightness.The next stage in the study of this topic will be the construction of a mathematical model in the high-level MATLAB mathematical calculations system.Ref. 4, fig. 1.

Cognitive UAV Communication via Joint Maneuver and Power Control

This paper investigates a new scenario of spectrum sharing between unmanned aerial vehicle (UAV) and terrestrial wireless communication, in which a cognitive/secondary UAV transmitter communicates with a ground secondary receiver (SR), in the presence of a number of primary terrestrial communication links that operate over the same frequency band. We exploit the UAV's mobility in three-dimensional (3D) space to improve its cognitive communication performance while controlling the co-channel interference at the primary receivers (PRs), such that the received interference power at each PR is below a prescribed threshold termed as interference temperature (IT). First, we consider the quasi-stationary UAV scenario, where the UAV is placed at a static location during each communication period of interest. In this case, we jointly optimize the UAV's 3D placement and power control to maximize the SR's achievable rate, subject to the UAV's altitude and transmit power constraints, as well as a set of IT constraints at the PRs to protect their communications. Next, we consider the mobile UAV scenario, in which the UAV is dispatched to fly from an initial location to a final location within a given task period. We propose an efficient algorithm to maximize the SR's average achievable rate over this period by jointly optimizing the UAV's 3D trajectory and power control, subject to the additional constraints on UAV's maximum flying speed and initial/final locations. Finally, numerical results are provided to evaluate the performance of the proposed designs for different scenarios, as compared to various benchmark schemes. It is shown that in the quasi-stationary scenario the UAV should be placed at its minimum altitude while in the mobile scenario the UAV should adjust its altitude along with horizontal trajectory, so as to maximize the SR's achievable rate in both scenarios.

ANALISIS SEKTOR EKONOMI UNGGULAN DAN PERGESERAN STRUKTUR PEREKONOMIAN KOTA BATU TAHUN 2012-2016

Economic development must include economic growth, where economic development greatly encourages economic growth and economic growth facilitates the process of economic development. With this to know the leading economic sectors in the economy in Batu City in 2012-2016. By using analysis tools Merging Static Location Quotient (SLQ) and Dynamic Location Quotient (DLQ), Klassen Typologies and Shift-Share.The research results obtained that in Batu City based on the analysis of the Merger of Static Location Quotient (SLQ) and Dynamic Location Quotient (DLQ) belonging to the superior economic sector is the economic sector of Construction. The Klassen Typology analysis, which is classified as a fast-developing and fast-growing sector, is the Construction, Large and Retail Trade sector; Reparas for Cars and Motorbikes, Provision of Accommodation and Food Drinking, Information and Communication, and Other Services. While, the Shift-Share analysis which is classified as capable of competing or competitive is the sector of Large Trade and Retail; Repair of Cars and Motorbikes, Provision of Accommodation and Food Drinking, and Construction.

Predicting Human Saccadic Scanpaths Based on Iterative Representation Learning.

Visual attention is a dynamic process of scene exploration and information acquisition. However, existing research on attention modeling has concentrated on estimating static salient locations. In contrast, dynamic attributes presented by saccade have not been well explored in previous attention models. In this paper, we address the problem of saccadic scanpath prediction by introducing an iterative representation learning framework. Within the framework, saccade can be interpreted as an iterative process of predicting one fixation according to the current representation and updating the representation based on the gaze shift. In the predicting phase, we propose a Bayesian definition of saccade to combine the influence of perceptual residual and spatial location on the selection of fixations. In implementation, we compute the representation error of an autoencoder-based network to measure perceptual residuals of each area. Simultaneously, we integrate saccade amplitude and center-weighted mechanism to model the influence of spatial location. Based on estimating the influence of two parts, the final fixation is defined as the point with the largest posterior probability of gaze shift. In the updating phase, we update the representation pattern for the subsequent calculation by retraining the network with samples extracted around the current fixation. In the experiments, the proposed model can replicate the fundamental properties of psychophysics in visual search. In addition, it can achieve superior performance on several benchmark eye-tracking data sets.

Modelling support to citizen observatories for strategic Danube Delta planning: Sontea-Fortuna case study

Recent research developments indicate that citizens’ observatories, a novel approach for data collection, management and governance, can provide valuable contributions to strategic delta planning processes. Most citizen observatories are limited in spatial coverage during data collection, according to the citizens’ availability and static locations. However, there are times in which citizens participate as trained volunteers during data collection field campaigns. In this later scenario, an important aspect in organising and maintaining citizen observatories is having a clear plan for data gathering activities, including determination of routes to be followed by these citizens. This article addresses the issue of determining such routes (called pathways) related to the specific problem of gathering data in deltaic areas, which are composed of intricate canals and wetlands. Data collection activities consist of citizens acquiring images and videos with mobile phones at predetermined locations (Points of Interest) that are only accessible by boats. A pathway selection approach is presented, supported by a hydrodynamic model, developed to capture the specific processes of the delta. The aim of the approach is to define: where to send the citizens to fulfil stakeholders’ interest and planning goals, how to reach these points and which pathways should be selected (prioritised based on such interests), considering possible flood patterns. The developed methodology is part of an ongoing H2020 funded research. The proof of concept is carried out in the Sontea-Fortuna area, of the Danube Delta, which, similar to many wetlands, contains a large variety of unique, endemic species. With the developed approach, pathways to be followed by citizens during data collection campaigns were generated and scored considering local interests. Analysis of the boat’s accessibility into the delta during different hydrological scenarios showed that the wetland is more accessible than expected, hence the proposed pathway approach was useful in prioritizing some canals over others. The determined pathways will be applied in field campaigns. The approach can be applied to other delta regions with different environmental problems, such as water quality or ecosystem assessment, contributing to the organisation of effective active citizen data collection.

Location-based fatigue damage assessment on an FPSO by the spectral analysis method

Floating production storage and offloading ships (FPSOs) are offshore platforms positioned at a location and operating at different loading conditions and corresponding draughts. Due to their static location, they get subjected to continuous fluctuating loads due to the sea environment. For these reasons the fatigue damage prediction of an FPSO is essential. The emphasis of this study is on the effect of fatigue damage at critical joints of critical structural members under the influence of vertical and horizontal bending in isolation and combination. The method considers an FPSO of 320m length for a case study, selecting a total of fourteen such structural member locations along the periphery at its midship section. The analysis considers two necessary loading conditions namely, fully loaded and ballast condition. The study uses spectral fatigue analysis method wherein the bending moment transfer function generates the stress transfer function, which in turn helps to generate the power spectral density function. Combining the spectral moments with Palmgren-Miner rule gives the cumulative fatigue damage of the FPSO. The results provide an insight into the variation in fatigue damage concerning the location of the structural member under the influence of vertical and horizontal bending moments.

TIPS: Mining Top-K Locations to Minimize User-Inconvenience for Trajectory-Aware Services

Facility location problems aim to identify the best locations to set up new services. The majority of the existing works typically assume that the users are static . However, there exists a wide array of services such as fuel stations, ATMs, food joints, etc., that are widely accessed by mobile users besides the static ones. Such trajectory-aware services should, therefore, factor in the trajectories of its users rather than simply their static locations. In this work, we introduce the problem of optimal placement of facility locations for such trajectory-aware services that minimize the user inconvenience . The inconvenience of a user is the extra distance traveled by her from her regular path to avail a service. We call this the TIPS problem (Trajectory-aware Inconvenience-minimizing Placement of Services) and consider two variants of it. The goal of the first variant, MAX-TIPS, is to minimize the maximum inconvenience faced by any user, while that of the second, AVG-TIPS, is to minimize the average inconvenience over all the users. We show that both these problems are NP-hard, and propose multiple efficient heuristics to solve them. Empirical evaluation on real urban-scale road networks validate the efficiency and effectiveness of the proposed heuristics.

Joint Maneuver and Beamwidth Optimization for UAV-Enabled Multicasting

Unmanned aerial vehicles (UAVs)-assisted communications have been an essential complement of conventional wireless networks. In this paper, we consider a UAV-enabled multicasting system, where a UAV with a directional antenna of adjustable beamwidth is employed to disseminate a common file to a group of ground users. By minimizing the mission completion time, we investigate how beamwidth control would affect the UAV's three-dimensional (3D) location/trajectory. First, we consider the quasi-stationary UAV scenario, where the UAV is deployed at a static location. In this case, we jointly optimize the 3D UAV location and antenna beamwidth under the practical constraints on the UAV's altitude and beamwidth, while ensuring that all users are covered by the main lobe of the UAV antenna. Although this problem is nonconvex, its global optimality can be obtained by using a two-step algorithm, where semi-closed solutions of the 3D location and beamwidth are derived. Next, in the mobile UAV scenario, a joint 3D UAV trajectory and beamwidth design is proposed, additionally constrained by the horizontal and vertical speed. To tackle this nonconvex problem, we develop an iterative optimization algorithm based on successive convex approximation techniques, which updates the 3D trajectory and beamwidth simultaneously in each iteration. Numerical results demonstrate the effectiveness of the proposed design as compared to benchmark schemes.

Comparison of static ambulance location models

Over the years, several ambulance location models have been discussed in the literature. Most of these models have been further developed to take more complicated situations into account. However, ...

Comparison of static ambulance location models

Over the years, several ambulance location models have been discussed in the literature. Most of these models have been further developed to take more complicated situations into account. However, the existing standard models that are often used in case studies have never been compared computationally according to the criteria used in practice. In this paper, we compare several ambulance location models on coverage and response time criteria. In addition to four standard ambulance location models from the literature, we also present two models that focus on average and expected response times. The computational results show that the maximum expected covering location problem (MEXCLP) and the expected response time model (ERTM) perform the best over all considered criteria. However, as the computation times for ERTM are long, the average response time model (ARTM) could be a good alternative. Based on these results, we also propose four alternative models that combine the good coverage provided by MEXCLP and the quick response times provided by ARTM. All four considered models provide balanced solutions in terms of coverage and response times. However, the multiple response times target model (MRTTM) outperforms the other models based on computation time.

Agglomeration on Food and Beverage Industry : Case study in the Province of East Java

The aim of this research is to calculate and analyze the regions in East Java province that is superior in their food and beverage industries during the period of 2012-2015. The methods used in this research are Static Location Quotient (SLQ), Dynamic Location Quotient (DLQ), and Shift Share. The result of this research shows that : (1) food and beverage industries nowadays are starting to become the basis sector in almost all regencies/ Cities in East Java province, (2) ) sub-sector of food and beverage is becoming the leading industries inPacitan regency, Ponorogo regency, Tulungagung regency, Blitar Regency, Kediri regency, Malang regency, Jember regency, Bondowoso regency, Situbondo regency, Sidoarjo regency, Jombang regency, Nganjuk regency, Madiun regency, Magetan Regency, Ngawi Regency, Lamongan regency, Pamekasan regency, Sumenep regency,Blitar city, and Surabaya city, (3) Ccommodity industries of food and beverage have some competitive advantages in Ponorogo regency, Tulung agung regency, Jember regency, Banyuwangi regency,Bondowoso regency, Situbondo regency,Probolinggo regency,Pasuruan regency,Jombang regency,Bojonegoro regency,Tuban regency,Lamongan regency,Bangkalan regency,Sampang regency, Pamekasan regency, Sumenep regency,Blitar city,Surabaya city, and Batu city.

Transnational Contract Work and the Remaking of Class among Polish Workers in Construction and Shipyards: Between Collective Subjugation and Stratified Empowerment

In late capitalism, class is increasingly made on the move, not in static locations, as different forms of mobility resonate with the making of class in different ways. Poles are the leading European nation who move abroad. However, what the transnationalization of class means for the Polish workforce in the context of diversified employment and mobility regimes has remained underexplored to date. In this article transnational mobility is seen as enacted under the employment umbrella of transnational subcontractors and staffing agencies for short-term contracts abroad. The author focuses on Poles who work in the construction industry and shipyards and explores how transnational contract work conditions workers’class relations and experiences, with the aim of grasping the collective and individual experience of working and living “on a contract” and how this affects their situation in Poland. The article shows that what in most research appears as a working-class mobility populated by low-skilled and vulnerable Polish migrants emerges on the ground as far more heterogeneous and dynamic, marked by a common transnational subjugation as well as inner class hierarchies and antagonism. The argumentation draws on a multi-sited fieldwork conducted in Finland, Denmark, Norway and Poland in 2014–2017.

Evaluation of Partially Submerged Sticky Traps On Lake Spillways For Adult Black Fly (Diptera: Simuliidae) Surveillance and Arbovirus Detection

Sentinel surveillance systems demonstrate an improved ability to supplement monitoring data and anticipate arbovirus outbreaks (i.e., sentinel avian species). Management complications can arise during unpredictable or unseasonal disease detections, especially in rural areas where resident distribution is patchy. Using spillways near residential lake communities as static surveillance locations, we tested a novel partially submerged sticky trapping technique and screened wild populations of adult female black flies (Diptera: Simuliidae) for West Nile virus (WNV) and eastern equine encephalitis virus (EEEV). Trap site selection criteria considered the density of immature black fly colonization on spillway surfaces and the number of positive detections of arboviral targets in nearby Culex mosquito populations. On average (±standard error), sticky traps captured 134 (±33) adult black flies over a 24-h period, with 1 trap capturing as many as 735 individuals. Although we detected positive cases of WNV from 20 Culex mosquito trapping sites within 16 km (approx. flight radius) of the selected lake spillways, mixed pools of adult female Simulium vittatum complex and Simulium decorum were all negative for both arboviruses. This study yielded an application for partially submerged sticky traps to collect adult female black flies. Its potential uses for monitoring the infection rates of more well-documented Simulium parasites are discussed.

A hand-eye calibration method for augmented reality applied to computer-assisted orthopedic surgery

Purpose Recent technology advances in Augmented Reality (AR) is creating an opportunity for a paradigm shift in the field of Computer Assisted Surgery (CAS). Despite having the potential of being a promising technology in clinical applications, its accuracy, robustness, and performances under specific environmental conditions have not been fully investigated and evaluated. In an attempt to address the limitations and uncertainties that arise from using computer vision, we propose a Hand-Eye (HE) based approach to determine an invariant mapping between the HoloLens headset (i.e., rigid body defined by a unique set of passive markers) and the OHMDs virtual camera. Methods In order to achieve the required precision for using the Microsoft HoloLens in a surgical application, an invariant mapping was estimated. First, a set of non-collinear retroreflective markers were rigidly attached to the Microsoft HoloLens headset. Consequently, the OHMDs's intrinsic parameters, as well as their radial and tangential lenses distortion coefficients, were determined by solving simultaneously a set of homogeneous system of equations by using nonlinear optimization techniques. The accuracy of the proposed HE based method has been evaluated by using a retro-projection error estimation method. Results Initially, a surgical frame has been anchored to the organ of interest. After loading the patient-specific dataset, a hologram of the organ of interest appears in front of the user's initial position. Correspondences between the hologram and the fiducial markers can then be established by using the tracked surgical pointer and then be mapped with respect to the surgical frame. After finishing this process, an orthonormal basis is created in the physical space, which has its counterpart in the image space and, therefore, a transformation can be determined to map the hologram with respect to the surgical frame. Conclusions OHMDs may be able to create an opportunity for a paradigm shift in the field of CAS, since all this detailed information could easily be displayed on virtual and interactive screens in operating rooms on the same time and in real time. A very important aspect of using such OHMDs is that it can be very intuitive, especially among inexperienced surgeon, since surgical instruments and maneuvers motions are represented with respect to the surgeon's visual system and, therefore, attention disruptions are more likely to be reduced in terms of the surgeon's gaze, considering that the surgeon would not need to be searching for a conventional display located at static location in the operating room.

MULTI-AGENT LEARNING FRAMEWORK FOR ENVIRONMENT REDUNDANCY IDENTIFICATION FOR MOBILE SENSORS IN AN IOT CONTEXT

Abstract. From an IoT point of view, the continuous growth of cheap and versatile sensor technologies has generated a massive data flow in communication networks, which most of the time carries unnecessary or redundant information that requires larger storage centers and more time to process and analyze data. Most of this redundancy is due to fact that network nodes are unable to identify environmental cues showing measurement changes to be considered and instead remain at a static location getting the same data. In this work we propose a multi-agent learning framework based on two theoretical tools. Firstly, we use Gaussian Process Regression (GPR) to make each node capable of getting information from the environment based on its current measurement and the measurements taken by its neighbors. Secondly, we use the rate distortion function to define a boundary where the information coming from the environment is neither redundant nor misunderstood. Finally, we show how the framework is applied in a mobile sensor network in which sensors decide to be more or less exploratory by means of the parameter s of the Blahut-Arimoto algorithm, and how it affects the measurement coverage in a spatial area being sensed.