Global Positioning Research Articles

Prior Protection Of Designs: A Hyper Technical Research On The Designs Act, 2000

The Designs Act, 2000, plays a pivotal role in protecting industrial designs in India by offering exclusive rights to creators over their products with respect to the visual prospect being in abundance. However, the Act's provisions raise complex technical and legal perspectives, particularly around the issue of ‘prior protection’. This research paper provides a hyper-technical analysis of the Act, focusing on the intricate requirements that designs must meet to qualify for protection. The need for novelty and speciality of each creator has a need for protection with a prior note to it. The research critically explores the legal thresholds of what constitutes a "new or original" design. Prior disclosure of a design before formal registration can result in loss of protection or theft without agreed consent. This issue is unauthenticated and questionable, as it raises unauthenticated concerns about the protection of a creator's work. Legal provisions are crucial to ensure the protection of prior disclosure and rights. Judicial interpretations and case law surrounding prior protection under the Designs Act are scrutinized to highlight the vagueness and inconsistencies in the legal provisions to envisage the needs of a creator. The study also considers the role of international frameworks, such as the Paris Convention, and their influence on India's design protection regime, particularly in the context of cross-border disputes and multi-jurisdictional filings in the global arena. The policy, regulated legislatively and institutionally, aims to promote Indian designs through a comprehensive policy framework, fostering innovation and global positioning - The Designs Act, 2000 provides a clearer understanding of the legal structure and the challenges faced by designers. It emphasizes the importance of recognizing talent and strengthening prior protection to ensure a more reliable system for enforcing design rights.

Aqua Quadcopter an Engineering Solution for Water Sample Collection

An “Aqua Quadcopter” designed for water sample collection is a specialized quadcopter capable of flying over water bodies and collecting water samples for analysis. This type of drone combines aerial mobility with aquatic capabilities, making it suitable for environmental monitoring, scientific research, and pollution detection in rivers, lakes, oceans, and other water bodies. Traditional methods of water sample collection are often labour- intensive, time consuming, and may require boats or human intervention in potentially hazardous environments. This project addresses the need for a more efficient, safer, and autonomous solution that can access remote or hard-to-reach areas and provide real-time data for environmental analysis. We are going to design drone and water sampler, adding some specifications like GPS system to target the area where it is polluted and observe the stability of quadcopter.

Analysis of the performance of the PPP-B2b satellite clock and its effects on time transfer

Abstract BDS-3 is capable of providing precise point positioning (PPP) services via B2b signals for the Asia–Pacific region. The performance of the satellite clock plays a dominant role in the transmission interval of B2b clock correction and PPP time transfer. In this work, first, the coverage of B2b signals is analysed, and the performance of the satellite clock is evaluated (including orbit accuracy, clock stability, clock accuracy and prediction accuracy). Second, the results of time transfer based on BDS-3 PPP-B2b are investigated. The values show that the orbit error of BDS-3 recovered from PPP-B2b is better than that of the GPS recovered from PPP-B2b. The stability of BDS-3 recovered from the PPP-B2b clock is superior to that of the GPS PPP-B2b clock. The stability of the BDS-3 clock is approximately 1∼2 e-13, 5∼9 e-14, and 3∼5 e-14 at 100 s, 1000 s, and 10000 s, respectively. No obvious discrepancy exists in the BDS-3 clocks of different types. The mean prediction accuracy of BDS-3 is 0.03 ns when the prediction time is up to 120 s, and the prediction accuracy of the GPS is 0.28 ns when the prediction time is merely 30 s. This result shows that it is possible to decrease the transmission interval of BDS-3 B2b clock correction and save much space. The time transfer based on BDS-3 PPP-B2b can subsequently achieve a 0.50 ns level. The frequency stability of the time link is approximately 9.25E-14, 2.42E-14, and 9.34E-15 at 100 s, 1000 s, and 10000 s, respectively. We can conclude that the BDS-3 PPP-B2b solution is reliable for time transfer.

DriveMate - Vehicle Breakdown Assistance using Mobile Application

The increasing need for on-demand vehicle breakdown assistance calls for a system that connects stranded drivers with nearby mechanics through a seamless mobile interface. This paper presents a survey of existing technologies, applications, and algorithms that aid in the development of a real-time mechanic dispatch platform. The app allows for mechanic registration, user-mechanic connectivity based on GPS location, and ratings to enhance service reliability. This survey highlights methods for implementing proximity-based assistance, secure admin control for mechanic vetting, and efficient user-to-mechanic communication

Remote sensing and GPS tracking reveal temporal shifts in habitat use in nonbreeding Black‐tailed Godwits

Abstract Knowledge of the habitat requirements for migratory species throughout their full annual cycle is necessary for comprehensive species protection plans. By describing seasonal shifts of space‐use patterns in a key nonbreeding area, the Senegal Delta (Mauritania, Senegal), this study addresses a significant knowledge gap in the annual cycle of the rapidly declining continental Black‐tailed Godwit Limosa limosa limosa. We fitted continuous‐time stochastic‐process movement models with GPS location data to describe the core areas used by 22 GPS‐tagged godwits over the 2022–2023 nonbreeding period. We mapped key habitat types, such as floodplain wetlands and rice fields, via supervised classification of satellite imagery. Godwits in the Senegal Delta show a distinct shift in habitat use over the nonbreeding period. The core areas of godwits in the early stages of the nonbreeding period (the wet season) were primarily in natural wetlands and fields with newly planted rice. As the rice crop matured and became too dense, godwits moved towards more recently sown rice fields. Later, as floodwaters receded and rice fields dried out, godwits abandoned rice fields and shifted towards natural wetlands with fewer invasive plants, particularly within the marshes and shallow floodplains of nature‐protected areas in the lower Delta. Synthesis and applications: Our findings illustrate the shifting importance of natural and agricultural wetlands for godwits at different stages of the nonbreeding season. Protected areas in the Senegal Delta, particularly the Djoudj National Bird Sanctuary (Senegal) and Diawling National Park (Mauritania), are crucial habitats during the dry season as godwits prepare for their northward migration, whilst rice fields take a key role during the wet season. Conservation efforts should prioritize eradicating invasive plants from the Djoudj and Diawling, as well as promote agroecological management in specific rice production complexes indicated in this study.

A Fuzzy Logic Approach to Enhance GPS Accuracy for Blood Cooler Box Tracking

An innovative technological development, the position tracking system uses latitude and longitude coordinates to determine the GPS's location. The covid-19 pandemic has caused the demand for cool box delivery for convalescent blood plasma to increase significantly. The obstacle in the field is the hospital's position and patient rooms far from the reach convalescent donors, so they require a cool box for delivery. The problem is tracking the cool box accurately and precisely so that it can be monitored by the hospital properly. For this reason, it is necessary to increase the accuracy of the GPS position in the cool box by using fuzzy logic algorithms The Ublox NEO-6M is one GPS module that can be utilized for navigation. This module uses UART connection using the NMEA 0183 protocol and has an accuracy level of around 2.5 meters to 10 meters. In this research, validation of the accuracy of the GPS coordinate position was carried out on a Blood Cool Box device which was designed using the fuzzy logic method. The Sugeno method fuzzy logic algorithm is used to validate the accuracy of GPS coordinate positions based on latitude and longitude obtained from the GPS sensor module. The test results show a Mean Absolute Percent Error (MAPE) value of 21.66% which can be concluded that the Sugeno fuzzy logic method algorithm has forecasting model capabilities that are suitable for use as a validation method for testing GPS position coordinates.

Innovative navigation: a smart cane solution with GPS, GSM, and real-time image capture

Our article presents the design, study, and implementation of a smart cane aimed at enhancing the autonomy and safety of individuals who are blind or visually impaired. The solution is built around an Arduino board, integrated with various sensors and modules, to provide real-time tactile and auditory feedback to the user. Utilizing a combination of basic and advanced technologies, this smart cane detects obstacles at varying distances, triggering sound and vibration alerts to assist the user in navigation. Beyond these essential functions, the cane offers advanced features such as real-time image capture and obstacle recognition through the ESP32-CAM module. Additionally, the system is equipped with a GSM module that facilitates emergency communication by sending SMS messages with the user’s GPS location, obtained via the Neo-6M GPS module. These technological enhancements improve user safety by streamlining obstacle detection and enabling remote assistance when needed. The primary objective is to create a comprehensive solution that not only detects and avoids obstacles but also provides visual information and supports communication with caregivers or emergency services. By doing so, the smart cane contributes to a higher degree of independence and an improved quality of life for blind and visually impaired individuals.

Can GPS Monitoring Be Viewed as a Bodyguard, Rather than a Prison Guard?: The Use of Electronic Monitoring to Reduce the Risk of Cross‐Border Parental Child Abduction

Globally, the number of cases of international parental child abduction has remained consistent in the past decade, despite the array of legal provisions designed to prevent it. The current legal approach is ineffective. Reflecting on the findings of an empirical study on parental abduction from the UK, the article considers a novel solution which aims to protect children at risk of abduction through electronic monitoring. The electronic monitoring of children has negative connotations, particularly its use in the criminal justice system. The article considers whether electronic monitoring, in the context of family law proceedings, could serve a protective rather than a punitive purpose. Such an approach requires a conceptual shift, to view electronic monitoring as a bodyguard for the privileged few, rather than as a prison guard. The article reflects on the use of electronic monitoring in parental abduction cases by the Family Courts and examines the proposal drawing on the rights found in the European Convention on Human Rights and the UN Convention on the Rights of the Child. A rights‐based analysis, as opposed to one constructed solely on the child's best interests in English family law, enables its application in other legal jurisdictions and protective contexts.

Of goats and heat, the differential impact of summer temperature on habitat selection and activity patterns in mountain goats of different ecotypes.

Climate change disproportionately affects northern and alpine environments, with faster rates of warming than the global average. Because alpine and northern species are particularly well adapted to cool temperatures, most species must modify their behavior when temperatures exceed a critical threshold. Evaluating how temperature increases affect species inhabiting northern and alpine environments is therefore essential to understand the effects of projected climate change on these ecosystems. We analyzed the influence of temperature on the activity patterns and habitat selection of four populations of a cold-adapted, mountain specialist, the mountain goat (Oreamnos americanus). We collected GPS location and activity sensor data during 2010-2019 from 223 mountain goats from two distinct ecotypes: coastal and continental. Using a resource selection modeling approach, we determined that mountain goats of both ecotypes decreased selection for alpine meadows when temperatures increased. Reduced selection for open, forage rich habitat was associated with increased selection for habitat dominated by snow/ice patches in coastal areas, and by forests in continental sites. Mountain goats in continental environments selected higher elevation habitats only when temperature increased, whereas goats in coastal environments selected higher elevation habitat at all temperatures. Mountain goats of both ecotypes reduced the proportion of time spent active when temperatures increased during the middle of the day. Our study reveals that mountain goats use diverse tactics to mitigate thermal stress, and that these tactics vary between ecotypes, highlighting the need for considering adaptation to specific environments within a species when assessing climate change impacts on populations.

Acoustic cognitive map-based navigation in echolocating bats.

Bats are known for their ability to use echolocation for obstacle avoidance and orientation. However, the extent to which bats utilize their highly local and directional echolocation for kilometer-scale navigation is unknown. In this study, we translocated wild Kuhl's pipistrelle bats and tracked their homing abilities while manipulating their visual, magnetic, and olfactory sensing and accurately tracked them using a new reverse GPS system. We show that bats can identify their location after translocation and conduct several-kilometer map-based navigation using solely echolocation. This proposition was further supported by a large-scale echolocation model disclosing how bats use environmental acoustic information to perform acoustic cognitive map-based navigation. We also demonstrate that navigation is improved when using both echolocation and vision.

Automated Attendance System with GPS-Integrated with Enhanced Navigation Tracking

With the rise of automation and smart technologies in educational institutions, efficient and reliable attendancetracking methods have become increasingly essential. Traditional attendance systems, which often involve manual or barcode scanning methods, are time-consuming and prone to inaccuracies. This research paper presents an innovative approach to student attendance tracking, utilising GPS-integrated barcode identification with wireless data transmission. The proposed system is designed to improve attendance accuracy and streamline student identification without the need for students to physically interact with scanning devices. By integrating GPS and barcode systems into the door panel, this attendance solution detects student presence in classrooms, records attendance, and transmits data in real time.

Automating dairy farm grazing records using GPS technology

Long-term grazing records can be used to assess paddock productivity (e.g., grazings per year), yet inconsistent record-keeping among New Zealand farmers hampers accurate analysis. Recently, GPS ear tags have emerged as an automated solution for identifying and recording paddocks grazed, providing data that could be used to underpin on-farm decisions and aid sector scale tracking of pasture productivity. Two GPS-enabled ear tags (GSatSolar and Ceres Trace) powered by solar energy and reporting direct-to-satellite were evaluated on two Waikato dairy farms for recording grazing events. Five cows were fitted with GSatSolar ear tags on each farm, and a further four were fitted with Ceres Trace ear tags on the second farm. Comparing the GPS location data with manual grazing records revealed varying levels of accuracy in identifying the grazed paddock. The grazing records inferred using the GSatSolar ear tags correctly matched the manual grazing records on 58% of occasions on the first farm and 85% on the second farm, with the difference being attributed to the number of working devices between farms. By comparison, the Ceres Trace ear tags identified the grazed paddock on 91% of occasions. These findings suggest that it is feasible to automate the recording of on-farm grazing events using GPS-enabled devices. However, a greater number of devices should be deployed, and/or the location reporting frequency must be increased to identify the grazed paddock accurately. The considerations when choosing devices for these purposes are also discussed, including reporting frequency and tag attachment methods.

Using Cell-phone Mobility Data to Study Voter Turnout

AbstractStudies of voting behavior in some settings may be hampered by poor data availability or unsuitably large units of aggregation for reported turnout. We propose and demonstrate a practical big-data solution to these kinds of challenges, using fine-grained cell-phone mobility data on millions of GPS locations for more than 300,000 eligible voters in Tokyo. Our approach uses the geolocations of polling stations, combined with GPS data points recorded on election day and a reference day, to measure patterns in individual-level (but anonymized) voting behavior. We first test the validity of the measure by comparing it to official aggregated data on turnout, and then illustrate its substantive utility with an application exploring the well-known relationship between turnout decisions and the cost of voting, proxied by the distance between a voter’s residence and the polling station. Finally, we discuss the potential limitations of the approach and provide step-by-step instructions for other researchers.

Effect of Salinity on the Growth and Biochemical Profile of Hedypnois cretica and Plantago coronopus Plants in Relation to the Cropping System and Growth Environment

The aim of the present work is to study the impact of salinity (i.e., 2 dS/m without addition of NaCl (control); 5 dS/m (EC-5); and 10 dS/m (EC-10) with the addition of 30 and 80 mM NaCl, respectively) on yield, organoleptic quality and the content of antioxidant compounds in Plantago coronopus and Hedypnois cretica plants in relation to different cropping systems and environmental conditions during growth (i.e., pots or floating hydroponics systems in the greenhouse and pots in the field (GPs, GH and FPs, respectively)). Almost all the growth parameters of the H. cretica plants in the greenhouse were impaired by both moderate (EC-5) and high (EC-10) salinity levels, especially in the floating hydroponics system, where, compared to EC-2, a reduction was observed of 33% in EC-5 and 76% in EC-10 in leaf area and of 24% and 75%, respectively, in fresh weight. On the contrary, the growth of the P. coronopus plants was negatively affected by salinity only in the GP system. However, salinity had no effect on most growth characteristics of both species grown in the field, suggesting a strong environmental effect on the impact of salinity in the tested species. On the other hand, the content of pigments, proline and total phenolics in the P. coronopus leaves, as well as their antioxidant capacity, were not affected by salinity in most cases, whereas in H. cretica the salinity effect was significant even at moderate levels (EC-5) in relation to the cropping system and growth environment. Moreover, both salinity levels reduced the nitrate content of P. coronopus plants in all cases (up to 61% in GP plants at EC-10) and of H. cretica GH plants (up to 67% in EC-10). Finally, regardless of the salinity level, the field-grown plants of both species showed a considerably higher content of total phenolics (by 59% in H. cretica and 58% in P. coronopus) and antioxidant activity (by 63% in H. cretica and 53% in P. coronopus, FRAP values), compared to the greenhouse ones. In conclusion, our results indicate that the tested combinations of cropping systems and growth environments could be used as an eco-friendly and sustainable agronomic tool to mitigate the negative effects of salinity and to regulate the organoleptic and biochemical properties of the tested species, allowing small-scale farmers in the affected areas to cope with the ongoing climate change and the environmental pressures they currently face through the exploitation of alternative/underexploited species of high added value.

Efficient approximate Bayesian inference for quantifying uncertainty in multiscale animal movement models

It is becoming increasingly important for wildlife managers and conservation ecologists to understand which resources are selected or avoided by an animal and how to best predict future spatial distributions of animal populations in the long term. However, inferring the patterns of space use by animals is a challenging multiscale inference problem, and formal uncertainty quantification of parameter estimates is an essential component of models that provide useful predictions across scales. In this study, we develop an approximate Bayesian inference framework for step selection models of animal movement which quantifies the uncertainty in estimates of resource selection and avoidance parameters within the Bayesian paradigm. The framework allows joint inference of movement and resource selection parameters of animals and is multiscale in that parameters inferred from fine scale movement steps scale to produce predictions of long-term patterns of space use. Our analysis focuses on simulated movement data in which we test the performance of our framework by altering movement parameters in the data-generating process. In our simulations, individuals respond to two environmental covariates and we employ all combinations of positive and negative selection coefficients corresponding to attraction to an environmental feature and avoidance of an environmental feature, respectively. In all scenarios, we recover the movement parameters used for the simulation of synthetic movement data using variational inference, an approximate Bayesian method, allowing us to formally quantify the uncertainty associated with each parameter for varying data set sizes. Our framework successfully recovered all combinations of movement parameters of the simulated data and accurately captured their posterior distributions given the available data suggesting that the framework is reliable and suitable for inferring how animals select resources and move on a landscape.Notably, our analysis shows that even for reasonably large data sets (circa 10,000 observations) there can still be considerable uncertainty associated with resource selection parameters which can in turn lead to inaccurate predictions of long term space use if not properly incorporated into the modelling approach. To further illustrate the utility of our approach, we also present a case study of its application to an example data set consisting of GPS locations of a fisher (Martes pennanti). Our approach will be of interest to ecologists looking to address conservation questions such as when and where animals are likely to spend most of their time. Furthermore, the approach could be used to predict new suitable areas for conservation based on how GPS collared animals use or avoid resources while including uncertainty around the predictions, thereby helping to make informed management decisions.

Geo-spatial based cyclone shelter suitability assessment using analytical hierarchy process (AHP) in the coastal region of Bangladesh

The coastal district of Bangladesh is susceptible to cyclones, which cause significant damage to infrastructure, economy, and social structures every year. The importance of protecting lives and property in these vulnerable areas is a top priority, especially in times of cyclones and storm surges. Therefore, the identification of potentially suitable shelter locations is essential for disaster risk resilience planning and implementation in the coastal regions. In this context, our research focuses on Barguna, which has witnessed severe damage from previous cyclones over the last several decades. We aim to identify and map feasible cyclone shelter suitability by utilizing GIS, AHP, Hotspot Analysis, and Remote Sensing techniques. The use of advanced techniques enables a comprehensive assessment of multiple variables that influence shelter suitability, ensuring the selection of the most strategically significant locations. The goal is to enhance disaster preparedness and resilience in Barguna District, reducing the risk and vulnerability of its coastal communities to cyclones. Seven variables associated with cyclone hazards, such as elevation, slope, distance from roads and rivers, population density, land use, and cover, and proximity to healthcare facilities, are considered to identify the safest and most suitable cyclone shelter areas. The assessment of the appropriateness of shelter locations for the study area was facilitated by the collection of 181 GPS locations regarding existing cyclone shelters. The findings reveal that approximately 15.53 % (1956 ha) of the total land area is considered less suitable, 67.31 % (84763 ha) moderately suitable, 16.70 % (21024 ha) suitable, and 0.29 % (362 ha) highly suitable for optimal cyclone shelter establishment in the study area. This study has a major limitation due to the use of Landsat imagery, which may not always provide fully accurate image classification. To validate our methods, we collected existing cyclone shelter data and performed a pixel-based accuracy assessment, achieving high accuracy and confirming the reliability of our approach. This research addresses a critical gap in cyclone shelter planning, offering valuable insights for residents and decision-makers to mitigate cyclone risks not only in the Barguna district but also in similar coastal regions of Bangladesh. The framework developed in this study can aid non-government organizations and the government in determining the most appropriate locations to construct cyclone shelters to build a safer, more resilient future for the region, capable of withstanding the relentless threats posed by cyclones every year.

IMPROVING WATER QUALITY MONITORING AND PARTICIPATORY MONITORING OF THE AQUA PROJECT APPLICATION

Introduction Water quality monitoring plays a key role in promoting environmental sustainability. Water is a vital resource for life and its availability and quality are intrinsically linked to human well-being and health. Through constant monitoring, it is possible to identify and mitigate pollutants, the Aqua project proposes to present a solution for evaluating and monitoring water quality, using a cell phone application and a very low-cost kit, integrating everything into an online platform. line with the aim of establishing a participatory monitoring network for rivers and water bodies. Results and Discussion The initial version of the Aqua1,2 project application, which is capable of determining: nitrite, organic matter, ortho-phosphate, ammonia and iron, all contaminants of water bodies3, stored the information only on the cell phone itself, and the georeferencing was done in a manual, where the operator himself had to manually record where the sample was taken. Furthermore, it was not available on Google Play, which made it difficult for less skilled people to install it. The application was rewritten, and is no longer local, running exclusively on the cell phone and was migrated to the cloud, now the data is also stored in a public database, where other researchers, or interested entities can have access, the account is no longer be local and is now stored on the internet, georeferencing is also now more accurate, as the application reads the location through the phone's own GPS system, and installation can be done via Google Play, removing one of the difficulties for use of the application. Conclusions With these modifications, the objective of participatory monitoring has now become easier to achieve, as the data of all users can be accessed via the internet, they have become more secure as they are no longer on the device, and the location of the sample location has become much easier. more accurate, in addition to allowing data integration.

Tradeoffs between privacy and screening efficiency for air passengers – Implications for tourism supply chain management

ABSTRACT This study employs the stated preference method to explore airline passengers’ choices during security screening and examines their trade-offs between privacy and efficiency. We compare two Asian economic hub cities (i.e. Hong Kong and Shanghai), with 500 business and leisure travellers sampled from each city. A generalised mixed multinomial logit model is estimated. The results suggest that travellers display varied levels of privacy concerns, including biometrics, biographical data, identifiers, and behavioural information. The participants from Shanghai expressed a willingness to go through fingerprint scanning and to provide facial images. The travellers in Hong Kong displayed notable reluctance to receive iris scans and disclose political and religious affiliations, and they were particularly hesitant about sharing medication records. Despite some differences between the two markets, both groups strongly opposed smartphone tracking, including access to search history and GPS location. In general, business (vs. leisure) travellers, men (vs. women), individuals with higher education levels, and those with higher personal monthly incomes strongly preferred fast-track schemes that utilised personal data. Our findings highlight the possibility of making more effective transitions to high-tech screening methods that meet the changing expectations of travellers if total screening time can be significantly decreased.

Enhancing BDS-3 PPP-B2b real-time positioning performance by tightly integrating MEMS IMU and LiDAR in GNSS-Degraded environment

Currently, BDS-3 can provide satellite-based real-time precise point positioning (PPP) service via its PPP-B2b signal. However, in a complex Global Navigation Satellite System (GNSS)-degraded environment, the BDS-3 PPP-B2b positioning performance is severely influenced. A tightly coupled PPP/microelectromechanical system inertial measurement unit (MEMS IMU)/Light Detection and Ranging (LiDAR) combination is proposed, in which the original pseudorange and carrier observations, IMU measurements, and LiDAR planar features are fused via an extended Multi-State Constraint Kalman Filter (MSCKF). Moreover, the Galileo satellites are further utilized using the broadcast ephemerides to increase the number of available satellites. And to improve the real-time computing efficiency, a planar feature tracking model based on ground segmentation is adopted. The model consists of point cloud segmentation, planar feature extraction and fusion, and data correlation. To evaluate the effectiveness of the proposed method, the experiment is conducted at both a campus and a park. The result shows that approximately sub-meter-level positioning accuracy can be achieved using tightly coupled BDS-3 PPP-B2b, IMU, and LiDAR, while the positioning errors of BDS-3 PPP-B2b and BDS-3 PPP-B2b/IMU are both larger than 5 m. Furthermore, the MEMS IMU and LiDAR measurements show the capability of bridging the gaps in the GNSS data, which enables continuous and stable positioning. Moreover, compared to the state-of-the-art A-LOAM, LEGO-LOAM, and LIO-SAM frameworks, absolute trajectory errors of less than 1.0 and 2.5 m are achieved in the campus and park, respectively, using the proposed algorithm, with improvements of more than 3.40 and 1.58 times.

Ámbito de hogar, preferencia de hábitat y patrones de actividad del zorro de Sechura Lycalopex sechurae (Mammalia: Canidae) en el Desierto de Sechura, noroeste del Perú

The Sechura fox (Lycalopex sechurae) is a little-studied species despite being common in northwestern Peru and listed as Near Threatened internationally. This study presents the home range, habitat preference, and activity patterns of L. sechurae in two locations of the Sechura Desert: The Mangroves of San Pedro de Vice (MSPV) and the Illescas National Reserve (RNI). Using GPS collars, the minimum convex polygon method, and the Kernel estimator (KE), the home range of four female individuals (two from each site) was calculated. Additionally, the GPS location data were used to estimate activity patterns and habitat preferences for each individual. The home range of females from MSPV was 0.6 and 1 km² (95% KE), whereas, for the RNI, it was 3.5 and 25.1 km² (95% KE). Females from MSPV preferred dry forest (54.8% and 76.1%), while those from RNI favored desert scrub (64.3% and 64.5%). All individuals exhibited cathemeral behavior, with increased nocturnal activity. Our results demonstrate variability in home range sizes, similarity in activity patterns compared to other studies, and highlight the importance of dry forest and desert scrub as resource-rich habitats for Lycalopex sechurae.