scholarly journals An IoT-Based Participatory Antitheft System for Public Safety Enhancement in Smart Cities

Smart Cities ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 919-937
Author(s):  
Nikos Papadakis ◽  
Nikos Koukoulas ◽  
Ioannis Christakis ◽  
Ilias Stavrakas ◽  
Dionisis Kandris
Keyword(s):  
Smart Cities ◽  
Low Cost ◽  
Negative Influence ◽  
Asset Tracking ◽  
Tracking Tasks ◽  
Tracking Process ◽  
The Impact ◽  
Operation Center ◽  
Safety Enhancement ◽  
Selection Of

The risk of theft of goods is certainly an important source of negative influence in human psychology. This article focuses on the development of a scheme that, despite its low cost, acts as a smart antitheft system that achieves small property detection. Specifically, an Internet of Things (IoT)-based participatory platform was developed in order to allow asset-tracking tasks to be crowd-sourced to a community. Stolen objects are traced by using a prototype Bluetooth Low Energy (BLE)-based system, which sends signals, thus becoming a beacon. Once such an item (e.g., a bicycle) is stolen, the owner informs the authorities, which, in turn, broadcast an alert signal to activate the BLE sensor. To trace the asset with the antitheft tag, participants use their GPS-enabled smart phones to scan BLE tags through a specific smartphone client application and report the location of the asset to an operation center so that owners can locate their assets. A stolen item tracking simulator was created to support and optimize the aforementioned tracking process and to produce the best possible outcome, evaluating the impact of different parameters and strategies regarding the selection of how many and which users to activate when searching for a stolen item within a given area.

scholarly journals Sustainable Design of a NanoSatellite Structure TypeCubeSat as a Modular Platform for Tests

2020 ◽  
Vol 15 (1) ◽  
pp. 108-134
Author(s):  
German Wedge Rodriguez Pirateque ◽  
Nelson Arzola de la Peña ◽  
Ernesto David Cortes Garcia
Keyword(s):  
Quality Function Deployment ◽  
Sustainable Design ◽  
Low Cost ◽  
Small Scale ◽  
Experimental Development ◽  
Satellite Systems ◽  
Modular Platform ◽  
Definition Of ◽  
The Impact ◽  
Selection Of

This article is intended to contribute to the development of proprietary technologies and the evaluation and selection of integrated technologies in the study of the aerospace concept necessary for the processes of technological appropriation. The problem addressed lies in the lack of modular platforms and lowcost test systems for experimental development and simulations of satellite systems. Therefore, compare to this the proposal of a scalable modular platform of the 1U CubeSat standard is presented as the main results. The design and characterization process presented from the concept of sustainability, contributes to the use and development of low-cost equipment that minimizes the impact on the environment and, in turn, is practical for its implementation in activities of groups and research centers that promote the diffusion of space technologies in Colombia. The methodology of sustainable design, the definition of design principles and conceptual design, which is materialized with the application of quality function deployment method (QFD), the theory of inventive problem solving (TRIZ)), the manufacturability-oriented design (DfM), assemblability (DfA), environmental impact (DfE), reliability (DfR), and safety assessment, are relevant for compliance with the CubeSat operating standards described in cds. Finally, several constructive modes of the low cost test platforms are proposed with different materials such as 3D prototyping in paper, abs, mdf wood and aluminum. All of them are small-scale satellite structures designed and constructed at low-cost. These designs result in the materialization to test on-board systems and integration resistance in assembly and materials, in laboratories as vibration test-bench, for research groups or companies interested in promoting the development of space technologies.

Nudging Urban Food Pantry Users in Utah Toward Healthier Choices

2020 ◽  
pp. 152483992090468
Author(s):  
Casey Coombs ◽  
Mateja R. Savoie-Roskos ◽  
Heidi LeBlanc ◽  
Julie Gast ◽  
Jackie Hendrickson
Keyword(s):  
Low Cost ◽  
Dietary Quality ◽  
Healthy Foods ◽  
Chi Square ◽  
Convenience Sample ◽  
Food Pantry ◽  
Nutrition Programs ◽  
The Impact ◽  
Selection Of

Purpose. To evaluate the impact of a nudge program on food pantry clients’ self-reported selection and use of healthy foods. Method. A convenience sample of clients of six urban food pantries in Utah were surveyed about their experience with the Thumbs Up for Healthy Choices nudge program. Chi-square tests were used to identify associations between demographic characteristics and self-reported program impact. Results. Ninety-four percent (n = 158) of respondents agreed that the program made it easier to make healthy choices. Sixty-five percent reported healthier diets since its implementation. Additionally, Hispanic respondents were more likely to report positive impacts than non-Hispanic respondents. Conclusions and Implications. Nudge programs are effective in increasing the selection of healthy foods among pantry clients in Utah. Impacts seemed to be particularly positive for Hispanic pantry users in Utah. Nutrition programs should consider implementing these low-cost strategies to improve dietary quality of pantry users.

Influence of Facade Colour on Yearly Energy Need

2013 ◽  
Vol 855 ◽  
pp. 57-61
Author(s):  
Dušan Jurík ◽  
Ivan Chmúrny
Keyword(s):  
Low Cost ◽  
Point Of View ◽  
Main Trend ◽  
Energy Costs ◽  
Energy Prices ◽  
Zero Energy ◽  
Heating And Cooling ◽  
Energy Needs ◽  
The Impact ◽  
Selection Of

Energy prices are constantly rising and that ́s why people are always looking for new ways to reduce energy costs. The main trend is to eliminate heat losses to the maximum extent. The demands for more sophisticated outer insulation for building still envelope (roofs, floors, walls, doors, and windows) are growing. Increased demands are evident also in the standards used in this area. Buildings with nearly zero energy (nZEB) become not only a vision but reality. Several ways for reduction of the energy needs are offered. The application of various colour adjustments of the building facade is one of the options. The impact of colour on the demand for heating and cooling at different thermal insulation capability is analyzed from the thermo - technical point of view. However, the question is whether it is possible to influence the annual costs for heating and cooling through the selection of facade colour (respectively through the absorption of solar radiation). We can say that today's architecture tries to use the structure of the building as some kind of thermal radiation (or rather solar energy) accumulator. In such a way we can characterize the majority of the structural designs for energy low cost buildings, where the main aim of such a solution is to reduce the energy need for heating and cooling.

scholarly journals Low-Cost Eye Tracking Calibration: A Knowledge-Based Study

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5109
Author(s):  
Gonzalo Garde ◽  
Andoni Larumbe-Bergera ◽  
Benoît Bossavit ◽  
Sonia Porta ◽  
Rafael Cabeza ◽  
...  
Keyword(s):  
Eye Tracking ◽  
High Performance ◽  
Low Cost ◽  
Image Features ◽  
Gaze Estimation ◽  
Low Resolution ◽  
Knowledge Based ◽  
Fully Connected ◽  
The Impact ◽  
Selection Of

Subject calibration has been demonstrated to improve the accuracy in high-performance eye trackers. However, the true weight of calibration in off-the-shelf eye tracking solutions is still not addressed. In this work, a theoretical framework to measure the effects of calibration in deep learning-based gaze estimation is proposed for low-resolution systems. To this end, features extracted from the synthetic U2Eyes dataset are used in a fully connected network in order to isolate the effect of specific user’s features, such as kappa angles. Then, the impact of system calibration in a real setup employing I2Head dataset images is studied. The obtained results show accuracy improvements over 50%, probing that calibration is a key process also in low-resolution gaze estimation scenarios. Furthermore, we show that after calibration accuracy values close to those obtained by high-resolution systems, in the range of 0.7∘, could be theoretically obtained if a careful selection of image features was performed, demonstrating significant room for improvement for off-the-shelf eye tracking systems.

scholarly journals Evaluating the Impact of Drone Signaling in Crosswalk Scenario

2020 ◽  
Vol 11 (1) ◽  
pp. 157
Author(s):  
Sana Bouassida ◽  
Najett Neji ◽  
Lydie Nouvelière ◽  
Jamel Neji
Keyword(s):  
Intelligent Transportation Systems ◽  
Emergency Services ◽  
Data Dissemination ◽  
Smart Cities ◽  
Low Cost ◽  
Well Being ◽  
Transportation Systems ◽  
Traffic Efficiency ◽  
Braking Distance ◽  
The Impact

The characteristic pillars of a city are its economy, its mobility, its environment, its inhabitants, its way of life, and its organization. Since 1980, the concept of smart city generally consists of optimizing costs, organization, and the well-being of inhabitants. The idea is to develop means and solutions capable of meeting the needs of the population, while preserving resources and the environment. Owing to their little size, their flexibility, and their low cost, Unmanned Aerial Vehicles (UAV) are today used in a huge number of daily life applications. UAV use cases can be classified into three categories: data covering (like surveillance and event covering), data relaying (like delivery and emergency services), and data dissemination (like cartography and precise agriculture). In addition, the interest to Cooperative Intelligent Transportation Systems (C-ITS) has risen in these recent years, especially in the context of smart cities. In such systems, both drivers and traffic managers share the information and cooperate to coordinate their actions to ensure safety, traffic efficiency, and environment preservation. In this work, we aimed at introducing a UAV in a use case that is likely to happen in C-ITS. A conflict is considered involving a car and a pedestrian. A UAV observes from the top of the scene and will play the role of the situation controller, the information collector, and the assignment of the instructions to the car driver in case of a harmful situation to avoid car-pedestrian collision. To this end, we highlight interactions between the UAV and the car vehicle (U2V communication), as well as between the UAV and infrastructure (U2I communication). Hence, the benefit of using UAV is emphasized to reduce accident gravity rate, braking distance, energy consumption, and occasional visibility reduction.

Methods for Restricting Maximum Exposure Rate in Computerized Adaptative Testing

Methodology ◽  
2007 ◽  
Vol 3 (1) ◽  
pp. 14-23 ◽  
Author(s):  
Juan Ramon Barrada ◽  
Julio Olea ◽  
Vicente Ponsoda
Keyword(s):  
Measurement Accuracy ◽  
Computerized Adaptive Testing ◽  
Computation Time ◽  
Adaptive Testing ◽  
Exposure Rate ◽  
Control Parameters ◽  
The Impact ◽  
Two Alternatives ◽  
Selection Of ◽  
Maximum Exposure

Abstract. The Sympson-Hetter (1985) method provides a means of controlling maximum exposure rate of items in Computerized Adaptive Testing. Through a series of simulations, control parameters are set that mark the probability of administration of an item on being selected. This method presents two main problems: it requires a long computation time for calculating the parameters and the maximum exposure rate is slightly above the fixed limit. Van der Linden (2003) presented two alternatives which appear to solve both of the problems. The impact of these methods in the measurement accuracy has not been tested yet. We show how these methods over-restrict the exposure of some highly discriminating items and, thus, the accuracy is decreased. It also shown that, when the desired maximum exposure rate is near the minimum possible value, these methods offer an empirical maximum exposure rate clearly above the goal. A new method, based on the initial estimation of the probability of administration and the probability of selection of the items with the restricted method ( Revuelta & Ponsoda, 1998 ), is presented in this paper. It can be used with the Sympson-Hetter method and with the two van der Linden's methods. This option, when used with Sympson-Hetter, speeds the convergence of the control parameters without decreasing the accuracy.

Computer simulation study about the dependence of amorphous silicon photonic waveguides efficiency on the material quality

2020 ◽  
Vol 90 (3) ◽  
pp. 30502
Author(s):  
Alessandro Fantoni ◽  
João Costa ◽  
Paulo Lourenço ◽  
Manuela Vieira
Keyword(s):  
Amorphous Silicon ◽  
High Throughput Screening ◽  
Simulation Analysis ◽  
Low Cost ◽  
Deposition Process ◽  
Large Area ◽  
Sidewall Roughness ◽  
Sensing Applications ◽  
Fabrication Defects ◽  
The Impact

Amorphous silicon PECVD photonic integrated devices are promising candidates for low cost sensing applications. This manuscript reports a simulation analysis about the impact on the overall efficiency caused by the lithography imperfections in the deposition process. The tolerance to the fabrication defects of a photonic sensor based on surface plasmonic resonance is analysed. The simulations are performed with FDTD and BPM algorithms. The device is a plasmonic interferometer composed by an a-Si:H waveguide covered by a thin gold layer. The sensing analysis is performed by equally splitting the input light into two arms, allowing the sensor to be calibrated by its reference arm. Two different 1 × 2 power splitter configurations are presented: a directional coupler and a multimode interference splitter. The waveguide sidewall roughness is considered as the major negative effect caused by deposition imperfections. The simulation results show that plasmonic effects can be excited in the interferometric waveguide structure, allowing a sensing device with enough sensitivity to support the functioning of a bio sensor for high throughput screening. In addition, the good tolerance to the waveguide wall roughness, points out the PECVD deposition technique as reliable method for the overall sensor system to be produced in a low-cost system. The large area deposition of photonics structures, allowed by the PECVD method, can be explored to design a multiplexed system for analysis of multiple biomarkers to further increase the tolerance to fabrication defects.

Advancing dairy farming profitability through research

2001 ◽  
pp. 17-22
Author(s):  
J.R. Caradus ◽  
D.A. Clark
Keyword(s):  
Research And Development ◽  
Dairy Cow ◽  
Low Cost ◽  
Pasture Management ◽  
Nitrogen Fertiliser ◽  
Grass Endophyte ◽  
Forage Species ◽  
Development Outcomes ◽  
Dairy Cow Nutrition ◽  
The Impact

The New Zealand dairy industry recognises that to remain competitive it must continue to invest in research and development. Outcomes from research have ensured year-round provision of low-cost feed from pasture while improving productivity. Some of these advances, discussed in this paper, include the use of white clover in pasture, understanding the impacts of grass endophyte, improved dairy cow nutrition, the use of alternative forage species and nitrogen fertiliser to improve productivity, demonstration of the impact of days-in-milk on profitability, and the use of feed budgeting and appropriate pasture management. Keywords: dairy, profitability, research and development

Public space of the trustworthiness of sociological knowledge: The case of electoral research

2020 ◽  
pp. 13-22
Author(s):  
OLEKSANDR STEGNII
Keyword(s):  
Public Space ◽  
Research Process ◽  
Negative Influence ◽  
Election Campaign ◽  
Sociological Research ◽  
Good Tool ◽  
Sociological Knowledge ◽  
The Public ◽  
Approval Ratings ◽  
The Impact

The paper analyses specific features of sociological data circulation in a public space during an election campaign. The basic components of this kind of space with regard to sociological research are political actors (who put themselves up for the election), voters and agents. The latter refer to professional groups whose corporate interests are directly related to the impact on the election process. Sociologists can also be seen as agents of the electoral process when experts in the field of electoral sociology are becoming intermingled with manipulators without a proper professional background and publications in this field. In a public space where an electoral race is unfolding, empirical sociological research becomes the main form of obtaining sociological knowledge, and it is primarily conducted to measure approval ratings. Electoral research serves as an example of combining the theoretical and empirical components of sociological knowledge, as well as its professional and public dimensions. Provided that sociologists meet all the professional requirements, electoral research can be used as a good tool for evaluating the trustworthiness of results reflecting the people’s expression of will. Being producers of sociological knowledge, sociologists act in two different capacities during an election campaign: as analysts and as pollsters. Therefore, it is essential that the duties and areas of responsibility for professional sociologists should be separated from those of pollsters. Another thing that needs to be noted is the negative influence that political strategists exert on the trustworthiness of survey findings which are going to be released to the public. Using the case of approval ratings as an illustration, the author analyses the most common techniques aimed at misrepresenting and distorting sociological data in the public space. Particular attention is given to the markers that can detect bogus polling companies, systemic violations during the research process and data falsification.

Spatial Autocorrelation in the Study of Neighbourhoods towards Smart Cities: Empirical Evidence from Kerman, Iran

2012 ◽  
Vol 9 (2) ◽  
pp. 1
Author(s):  
Asra Hosseini
Keyword(s):  
Spatial Autocorrelation ◽  
Urban Areas ◽  
Smart Cities ◽  
Moran’S I ◽  
Moran's I ◽  
Urban Planner ◽  
Universal Feature ◽  
Autocorrelation Method ◽  
Selection Of

From earliest cities to the present, spatial division into residential zones and neighbourhoods is the universal feature of urban areas. This study explored issue of measuring neighbourhoods through spatial autocorrelation method based on Moran's I index in respect of achieving to best neighbourhoods' model for forming cities smarter. The research carried out by selection of 35 neighbourhoods only within central part of traditional city of Kerman in Iran. The results illustrate, 75% of neighbourhoods' area in the inner city of Kerman had clustered pattern, and it shows reduction in Moran's index is associated with disproportional distribution of density and increasing in Moran's I and Z-score have monotonic relation with more dense areas and clustered pattern. It may be more efficient for urban planner to focus on spatial autocorrelation to foster neighbourhood cohesion rather than emphasis on suburban area. It is recommended characteristics of historic neighbourhoods can be successfully linked to redevelopment plans toward making city smarter, and also people's quality of life can be related to the way that neighbourhoods' patterns are defined. 

Sign in / Sign up

Export Citation Format

Share Document