Navigation Features Research Articles

STIA-DJANet: Spatial–Temporal Intention-Aware vessel trajectory prediction based on Dual-Joint Attention Network for e-navigation

Harnessing high-precision vessel trajectory prediction holds great promise for enhancing autonomous and safe navigation towards e-navigation. However, many technical researchers and maritime managers realize that only accurate prediction of vessel trajectory is insufficient, extraction and recognition of navigation intentions from vessel around is still crucial issue and gap in current prediction models. In response to solve this shortcoming, we propose an intention-aware model for vessel trajectory prediction, which leverages both of spatial–temporal intentions and dual joint attentions network, namely STIA-DJANet. First, the double intentions of spatial–temporal aware is designed to extract the social relationships between the own vessel trajectory and neighboring trajectories at each timestamp, effectively capturing dynamic changes in their interactions. Second, feature fusion of dual joint attentions for double intentions is proposed to extract navigation features from the intention-aware module, which can be integrated into trajectory prediction. In experiments, numerical results and comparisons on three real-world datasets demonstrate that our framework outperforms state-of-the-art models in terms of the average displacement error (ADE) and final displacement error (FDE) metrics. The average improvements were 42.852% and 44.726%, respectively. Reliable prediction results can significantly advance the development of e-navigation systems development.

You-talk in young adult couples’ conflict: Family-of-origin roots and adult relational aggression sequelae

The present study examines greater use of the word “you” (i.e., you-talk) during couple’s conflict as linked to conflict behaviors and relational aggression. The way couples navigate relationship conflict is a key risk factor for relational aggression, and investigating conflict microprocesses can inform intervention efforts. In this study, 184 target participants (86 men, 98 women; 58% White, 29% African American, 8% mixed race/ethnicity, 5% other groups) were observed interacting with their parents at age 13 and with romantic partners at ages 20 and 27 to examine origins of you-talk usage and its links to romantic relationship dysfunction. Links were explored in a series of hierarchical linear regressions. Adverse conflict navigation behaviors established in one’s family-of-origin during adolescence (i.e., autonomy-relatedness undermining behavior) predicted target’s use of you-talk during conflict with their romantic partners at age 20. You-talk was concurrently associated with autonomy-relatedness undermining behavior and relational aggression, and you-talk in turn predicted a relative increase in both undermining behavior and relational aggression at age 27. Use of you-talk is discussed as disrupting key features of conflict navigation and having potential developmental origins which may serve as targets in efforts to reduce relational aggression.

Teledrive: An Embodied AI Based Telepresence System

This article presents ‘Teledrive’, a telepresence robotic system with embodied AI features that empowers an operator to navigate the telerobot in any unknown remote place with minimal human intervention. We conceive Teledrive in the context of democratizing remote ‘care-giving’ for elderly citizens as well as for isolated patients, affected by contagious diseases. In particular, this paper focuses on the problem of navigating to a rough target area (like ‘bedroom’ or ‘kitchen’) rather than pre-specified point destinations. This ushers in a unique ‘AreaGoal’ based navigation feature, which has not been explored in depth in the contemporary solutions. Further, we describe an edge computing-based software system built on a WebRTC-based communication framework to realize the aforementioned scheme through an easy-to-use speech-based human-robot interaction. Moreover, to enhance the ease of operation for the remote caregiver, we incorporate a ‘person following’ feature, whereby a robot follows a person on the move in its premises as directed by the operator. Moreover, the system presented is loosely coupled with specific robot hardware, unlike the existing solutions. We have evaluated the efficacy of the proposed system through baseline experiments, user study, and real-life deployment.

Autonomous navigation method based on RGB‐D camera for a crop phenotyping robot

AbstractPhenotyping robots have the potential to obtain crop phenotypic traits on a large scale with high throughput. Autonomous navigation technology for phenotyping robots can significantly improve the efficiency of phenotypic traits collection. This study developed an autonomous navigation method utilizing an RGB‐D camera, specifically designed for phenotyping robots in field environments. The PP‐LiteSeg semantic segmentation model was employed due to its real‐time and accurate segmentation capabilities, enabling the distinction of crop areas in images captured by the RGB‐D camera. Navigation feature points were extracted from these segmented areas, with their three‐dimensional coordinates determined from pixel and depth information, facilitating the computation of angle deviation (α) and lateral deviation (d). Fuzzy controllers were designed with α and d as inputs for real‐time deviation correction during the walking of phenotyping robot. Additionally, the method includes end‐of‐row recognition and row spacing calculation, based on both visible and depth data, enabling automatic turning and row transition. The experimental results showed that the adopted PP‐LiteSeg semantic segmentation model had a testing accuracy of 95.379% and a mean intersection over union of 90.615%. The robot's navigation demonstrated an average walking deviation of 1.33 cm, with a maximum of 3.82 cm. Additionally, the average error in row spacing measurement was 2.71 cm, while the success rate of row transition at the end of the row was 100%. These findings indicate that the proposed method provides effective support for the autonomous operation of phenotyping robots.

A Study on Fishing Vessel Energy System Optimization Using Bond Graphs

Recently, environmental regulations have been strengthened due to climate change. This change comes in a way that limits emissions from ships in the shipbuilding industry. According to these changes, the trend of ship construction is changing installing pollutant emission reduction facilities such as scrubbers or applying alternative fuels such as low sulfur oil and LNG to satisfy rule requirements. However, these changes are focused on large ships. Small ships are limited in size. So, it is hard to install large facilities such as scrubbers and LNG propulsion systems, such as fishing boats that require operating space. In addition, in order to apply the pure electric propulsion method, there is a risk of marine distress during battery discharge. Therefore, the application of the electric–diesel hybrid propulsion method for small ships is being studied as a compromised solution. Since hybrid propulsion uses various energy sources, a method that can estimate effective efficiency is required for efficient operation. Therefore, in this study, a Bond graph is used to model the various energy sources of hybrid propulsion ships in an integrated manner. Furthermore, based on energy system modeling using the Bond graph, the study aims to propose a method for finding the optimal operational scenarios and reduction ratios for the entire voyage, considering the navigation feature of each different maritime region. In particular, the reduction gear is an important component at the junction of the power transmission of the hybrid propulsion ship. It is expected to be useful in the initial design stage as it can change the efficient operation performance with minimum design change.

Dampak Marketplace Layout Design, Sales Promotion dan Customer Review Terhadap Impulse Buying

The Shopee marketplace continues to show its existence as the marketplace with the most visitors. The distinctive color combination and well-arranged navigation menu can provide a different feel when visiting the maketplace. Information about various products can be seen very clearly on the main homepage, and shopping promo offers are also clearly visible on the slider screen on the main marketplace screen. The marketplace layout is also supported by the existence of a customer review navigation feature as a window for customer reviews of products and services that have been received. Shopee seems to understand how urgent the role of product information and customer reviews is in minimizing risks and supporting unplanned purchasing decisions. Therefore, this research aims to determine the impact of marketplace layout design, sales promotions and customer reviews to increase impulse buying. Research was conducted among Y generation in Kendari City who shopped at the Shopee marketplace. The total sample is 160 respondents. A questionnaire with a Likert scale was used as a data collection tool. Data were analyzed by multiple linear regression using SPSS software. The results of data analysis show that marketplace layout design does not have a significant influence on impulse buying. Meanwhile, sales promotion and customer reviews have a significant positive influence on impulse buying. These findings provide information to marketplace managers and sellers about the urgency of the role of sales promotion as a short-term strategy in accelerating impulse buying. Apart from that, the existence of a customer review feature on the marketplace website can contribute to impulse buying. So it becomes urgent to provide stimulus, such as giving rewards or incentives to customers who have purchased to be able to provide reviews of the products and services they receive.

Smart Agrobot: An Integrated Approach to Seed Sowing, Pesticide Application

Abstract: A state-of-the-art multifunctional autonomous agricultural robotic vehicle intended to transform farming methods is presented by the suggested system. This robotic vehicle is mostly operated via Bluetooth, but it also has sophisticated navigation features like GPS and object detection sensors, which allow it to navigate precisely and cautiously over fields of crops. The autonomous irrigation system with soil sensors and intelligent seeding mechanisms for different crops are just two of the robotic vehicle's many features that make it stand out. Farmers have freedom thanks to the Bluetooth control capability, which enables remote operation and monitoring. Safety features protect workers' health and prevent equipment damage, such as emergency stop buttons and collision avoidance procedures. This robotic system also performs exceptionally well in drip irrigation management in places that receive rain, optimizing fertilizing depending on soil conditions, and controlling weeds using computer vision. The suggested method, which reduces human intervention and increases total production, is a comprehensive and intelligent approach to automated and sustainable agriculture with an emphasis on energy conservation, data logging, and analytics.

Electromagnetic deformation of a high-precision radio navigation field consumers of the basins of the inland waterways of Russia

The basins of the inland waterways of the Russian Federation are characterized by a variety of specific navigation features, the destructive effects of which significantly affect the parameters of the purpose of radio navigation systems. Therefore, the task arises to develop a model and estimate the electromagnetic deformation of the high-precision radio navigation field in the basins of the inland waterways of Russia caused by their navigational features. The study and identification of the general navigational features of the basins of the inland waterways of Russia and the assessment of the degree of influence of their destabilizing factors on the quality indicators of the high-precision radio navigation field. New navigation features have been identified in the basins of the inland waterways of Russia, the destructive factors of which deform the high-precision radio navigation field and reduce the quality of transmission of differential corrections. The results obtained confirm a decrease in the accuracy of positioning unmanned vessels in sections of the waterway with a complex terrain topology and electromagnetic environment. At the same time, the positioning accuracy in river basins may deteriorate in local areas from 1.6 times (from 6.8 m to 28.7 m) to 4.3 times (from 27.3 m to 117 m), depending on the electro-magnetic situation and the value of the geometry coefficient. A decrease in the quality of differential correction transmission will be manifested at the boundaries of service areas and range from 1 dB in sparsely populated areas and up to 30 dB in industrial zones. These factors will reduce the safety of navigation, so they must be taken into account when operating ships and designing functional additions to the global nav. The results obtained in the work can be used in the formation and optimization of the topology of control and correction stations of differential additions to the global navigation satellite system and to meet the requirements for the accuracy of positioning of mobile objects in difficult physical and geographical conditions of the terrain and electromagnetic environment.

353 Eph/Ephrin Signaling Influences Innervation of Outer Hair Cells in Cochlea

OBJECTIVES/GOALS: 48,000,000 people in the U.S. have hearing loss, negatively impacting quality of life and work. Unveiling axon guidance for auditory type II spiral ganglia neurons (SGNs) will aid development of new therapies. I study the role of Eph/Ephrin and planar cell polarity (PCP) signaling during type II SGN turning and outer hair cell (OHC) innervation. METHODS/STUDY POPULATION: This quantitative study was conducted on Efna3 and Vangl2 null mice possessing Neurog1CreERT2 and R26RtdTomato mutations. Spontaneous Cre activity within the Neurogenin1CreERT2 line causes recombination and expression of fluorescent Rosa26 Reporter (R26R)tdTomatoin a restricted number of SGNs, including type IIs. Together, these lines permit SGN sparse labeling. Immunostaining and confocal imaging were used to analyze dsRed in Efna3 and Vangl2 mice and quantify type II SGN turning. In combination, Imaris 3D renderings were used to quantify type II SGN turning, branching, navigation features and temporal effects of EPHRIN-A3-Fc on type IIs via cochlear cultures (a gain-of-function manipulation). For both sexes, 5-6 cochleae per genotype were analyzed and compared by t-test to wildtype (WT) controls. RESULTS/ANTICIPATED RESULTS: Efna3 nulls showed a small rise in type II SGNs incorrectly turning toward the apex at an error rate of 16.0% compared to WTs (n=6; p=0.05). P0 Efna3 nulls had reduced branch number compared to WTs, 4.1 and 7.2, respectively (n=129; p=<0.0001), suggesting EPHRIN-A3 acts as a positive growth cue. In cochlear cultures, EPHRIN-A3-Fc led to type II SGN collapse at E15.5, indicating a repulsive function. However, at P0, EPHRIN-A3-Fc treatment led to type II SGNs with elevated branch numbers compared to Control-Fc treatment: 18.1 and 11.4, respectively (n=116; p=<0.0001). This indicates a positive growth function. At E16.5, EPHRIN-A3 protein immunoreactivity on Deiters’ and pillar cells appears reduced in Vangl2 nulls compared to WT cochleae, suggesting that EPHRIN-A3 acts downstream of PCP signaling. DISCUSSION/SIGNIFICANCE: Results suggest that Eph/Ephrin signaling acts downstream of PCP signaling to mediate type II SGN guidance and EPHRIN-A3 switches its mode of activation. The clinical implications of these findings are that therapeutics targeting EPHRIN-A3 and/or VANGL2 in their given pathways could stimulate new OHC innervation following auditory damage.

Development of GWIDO: An Augmented Reality-based Mobile Application for Historical Tourism

This research aimed to design and reconstruct a business model for an augmented reality (AR) camera mobile application for historical tourism at Keraton Kasepuhan Cirebon. The goal was to utilize AR technology to provide an immersive and informative experience for tourists. The research addressed several main problems, including navigation and historical information through object tracking, by implementing an online application with features such as Indonesian and English language instructions to better serve domestic and foreign tourists. The research also aimed to investigate the benefits of using AR technology for object tracking and navigation and to explore how these aspects could be related to creating a formula that supports each other in addressing the formulated problems. Through the development of the GWIDO application, a positive impact on the development of historical tourist attractions was observed. This can be seen from the usefulness of its features such as AR navigation, which can be used as a virtual guide. The data collected was used to design and reconstruct the business model, which was implemented and tested to collect additional data for analysis. The final results of the research showed that the AR camera mobile application was effective in providing an immersive and informative experience for tourists. The redesigned business model improved the utilization of AR technology in the tourism industry. Based on the test results, the average response time for object distance between 0.1 meters to 0.5 meters was between 1.45 to 2.07 seconds, and the average time for object distance from visitors was between 3.15 to 4.71 seconds with a confidence level of 95%. Meanwhile, testing for navigation features using augmented reality is very dependent on the internet signal used on the user's device. The level of accuracy of objects that have been placed at certain coordinates is determined by how well the internet network performs, allowing objects to appear precisely according to their coordinates.

CNN-Based Local Features for Navigation Near an Asteroid

CNN-Based Local Features for Navigation Near an Asteroid

Security and Privacy Analysis on Personal Identifiable Informationfor Connected Commercial Vehicles

With many Americans eager to resume travel after prolonged restrictions from the coronavirus pandemic, car rentals are on the rise. According to Auto Rental News, “2021 U.S. Car Rental Revenue Climbs 21% Year-Over-Year” (Brown, 2021). In conjunction with increased car rental, and associated travel, we can expect to see an increase in cyber security and data privacy attacks. In the digital age, enterprises have a responsibility to protect consumers’ Personally Identifiable Information (PII). As it pertains to rental vehicles, when consumers connect their mobile devices to a rental vehicle’s Entertainment and Infotainment System or utilize the built-in navigation feature, they do so, unbeknownst to themselves that the information from their devices is transferring to the vehicle, where it will remain, unless properly expunged from the system. A large majority of consumers are blissfully unaware that their PII is being stored, and how easy it would be for an adversary to potentially breach their data security and privacy. To expand upon this hypothesis, I conducted a further investigation on the subject, by partaking in the rental of three different vehicles, each belonging to a different manufacturer (Nissan, Chrysler, and Maserati), from three different vehicle rental companies (Enterprise, Hertz and Turo). I then, as a consumer, tested my hypothesis to determine if, I was able to easily breach the prior consumers’ data security and privacy by viewing devices that had previously connected to the vehicle, as well as any of the previous consumers’ personal information. The results were undeniable; the PII of the previous consumers is not protected.

Robust Guidance and Selective Spraying Based on Deep Learning for an Advanced Four-Wheeled Farming Robot

Complex farmland backgrounds and varying light intensities make the detection of guidance paths more difficult, even with computer vision technology. In this study, a robust line extraction approach for use in vision-guided farming robot navigation is proposed. The crops, drip irrigation belts, and ridges are extracted through a deep learning method to form multiple navigation feature points, which are then fitted into a regression line using the least squares method. Furthermore, deep learning-driven methods are used to detect weeds and unhealthy crops. Programmed proportional–integral–derivative (PID) speed control and fuzzy logic-based steering control are embedded in a low-cost hardware system and assist a highly maneuverable farming robot in maintaining forward movement at a constant speed and performing selective spraying operations efficiently. The experimental results show that under different weather conditions, the farming robot can maintain a deviation angle of 1 degree at a speed of 12.5 cm/s and perform selective spraying operations efficiently. The effective weed coverage (EWC) and ineffective weed coverage (IWC) reached 83% and 8%, respectively, and the pesticide reduction reached 53%. Detailed analysis and evaluation of the proposed scheme are also illustrated in this paper.

Vision-based autonomous navigation stack for tractors operating in peach orchards

Recently, camera-based approaches have been proposed to replace expensive LiDAR or real-time kinematic (RTK) based solutions for the unmanned tractors operating in an orchard-like environment. However, constructing a completely autonomous navigation stack with a low-costly camera and onboard computer presents extra difficulties, such as a computationally efficient perception model, rapid path planning without costly SLAM, and the capacity to avoid obstacles. In this paper, a novel vision-based autonomous navigation stack is devised to address challenges of the wholly autonomous tractor using stereo camera and inertial measurement unit (IMU) that are inexpensive. The computational pipeline consists primarily of three modules: (1) the multi-task perception network, (2) the frame transformation algorithm, and (3) the motion planning module. The multi-task perception network detects tree trunks, obstacles, and traversable areas simultaneously from the RGB image with high efficiency (69 FPS) and accuracy (mAP@.5 of 96.7% and mIoU of 98.1%). For global path planning and trajectory prediction, the frame transformation algorithm integrates the downsized the navigational features and transforms them to the tractor frame from the image frame. The motion planning module then uses the fused data to plan the appropriate path (i.e., the center of the tree row, U-turn path, or J-turn path) and search for the optimal trajectory utilizing the optimized dynamic window approach (DWA) for path tracking. In the peach orchard, the proposed stack is implemented on our autonomous retrofitted tractor and its efficacy is demonstrated compared with the human-driving tractor.

Redesign User Interface Dengan Metode Design Thinking: Studi Kasus

Transformation of production and service processes is a form of change in the industrial revolution era that is supported by systems. One of the components in a company's information system is a web page or known as a website. User Interface in website design is a concern at the CV X company which operates in the interior contracting sector. This research aims to redesign the user interface to suit user needs on the CV X website using the design thinking method. The design thinking method has six stages, namely, empathize, define, ideate, prototype, test, and implement. This research carried out four of the six stages of design thinking. Several research results include a collection of companies' desires to change the layout, content and elements on the website, content regarding SVLK, the use of persuasive words, and navigation features in the website footer that are not yet available in the current design. Defining the problem at the define stage is the elimination of be spoke pages, the use of colors that match the characteristics of the company, the addition of interactive animations, and changes to all elements on the website. The results of collecting ideas at the ideate stage were 9 ideas. The realization of ideas at the prototype stage consists of 3 processes, namely the style guideline creation process, the redesign process, and a comparison of the current design with the redesign results. The process of creating a style guideline includes fonts, colors, button elements, website headers and footers. This research focuses on the website user interface only so that the test and implementation stages related to User Experience (UX) are not analyzed.

The Monarch Initiative in 2024: an analytic platform integrating phenotypes, genesand diseases across species.

Bridging the gap between genetic variations, environmental determinants, and phenotypic outcomes is critical for supporting clinical diagnosis and understanding mechanisms of diseases. It requires integrating open data at a global scale. The Monarch Initiative advances these goals by developing open ontologies, semantic data models, and knowledge graphs for translational research. The Monarch App is an integrated platform combining data about genes, phenotypes, and diseases across species. Monarch's APIs enable access to carefully curated datasets and advanced analysis tools that support the understanding and diagnosis of disease for diverse applications such as variant prioritization, deep phenotyping, and patient profile-matching. We have migrated our system into a scalable, cloud-based infrastructure; simplified Monarch's data ingestion and knowledge graph integration systems; enhanced data mapping and integration standards; and developed a new user interface with novel search and graph navigation features. Furthermore, we advanced Monarch's analytic tools by developing a customized plugin for OpenAI's ChatGPT to increase the reliability of its responses about phenotypic data, allowing us to interrogate the knowledge in the Monarch graph using state-of-the-art Large Language Models. The resources of the Monarch Initiative can be found at monarchinitiative.org and its corresponding code repository at github.com/monarch-initiative/monarch-app.

Statement of the Problem of Control of an Autonomous Surface Vessel for Inland Waterways

Development of autonomous (uncrewed) surface vessels for commercial, industrial, and auxiliary fleet is currently one of the most rapidly advancing transport technologies. The key issue of its implementation is creation of an integrated control system (ICS) of safe navigation of uncrewed surface vehicles (USV) in automatic mode along the route. Then, it is necessary to keep in mind the features of maritime navigation and inland navigation.A performed analytical review of basic heading and speed control algorithms allowed revealing the main problems referring to development of an integrated control system for an USV. The statement of the control problem is followed by enlisting directions for further research.

Upaya Peningkatan Pengetahuan Bencana melalui Prototipe Aplikasi LANDIE (Landslide Disaster Education)

The high incidence of landslides during the rainy season still occurs frequently. Efforts have been made to increase knowledge about landslide disasters among the public. The use of technology through applications in providing knowledge about landslide disasters generally uses text and images. To address this gap, we developed a new application prototype with disaster knowledge and evacuation route navigation features called LANDIE (Landslide Disaster Education). The method used is quantitative descriptive in the form of mean and standard deviation analysis; descriptive percentage; kolmogorov-smirnov and paired sample t-test. The research results reveal that the LANDIE application prototype is effective in increasing knowledge of landslide disasters. This is supported by the findings that initial knowledge about landslide disasters is at medium criteria, with the application design being suitable for use with revisions, the application is suitable for use as a medium in disaster training, and the LANDIE application prototype is declared effective in increasing knowledge about landslide disasters.

Issues of organizing vessels pilotage through the drawbridges spans in St. Petersburg

The topic of the work is an overview study of the current problem associated with the complexity of navigation of river vessels and river-sea-going vessels during their passage along the Neva River in the raised spans of St. Petersburg bridges. It is noted that when passing through the raised spans of St. Petersburg bridges in the induced state, such factor as the “surface dimension” is one of the main ones. It is emphasized that large-tonnage river and river-sea-going vessels cannot pass all the bridges of St. Petersburg when they are in the induced state, but since the bridges are drawn at night during navigation period, the height restriction is no longer so strict. Unfortunately, all bridges of St. Petersburg have only one draw span, so reverse navigation is organized through their raised spans in order, firstly, to avoid divergences of vessels in the sections between the bridges and, secondly, to enable the skipper to minimize manoeuvring when choosing the optimal path of entry into the raised span of the bridge. In addition, the attention is drawn to the fact that when entering the drawbridge span, the skipper must take into account many additional factors, including, for example, local navigation features, the actual hydro-meteorological situation and the current hydrological regime of the Neva River. It is noted in the study that the boatmaster should take into account such an important circumstance as the presence of a large number of pleasure craft used for sightseeing viewing of the process of vessel movement through the raised spans of bridges. Due to the fact that boatmasters of large-tonnage river vessels and river-sea-going vessels may experience significant difficulties in the process of organizing navigation safety when moving into the raised bridge spans on the Neva River section within the boundaries of St. Petersburg; mandatory pilotage, some features of the organization of which are considered in this work, has been established. Examples of accidents related to the procedure of bridges drawing that occurred within the boundaries of St. Petersburg and had serious consequences are analyzed. The amendments proposed to be made to the “Rules of movement and mooring of vessels in the Volga-Baltic basin of the inland waterways of the Russian Federation” in relation to the issue under consideration are considered.

Developing an integrated medication adherence system: Exploring the potential of i‐Ware's augmented reality goggles and mobile application

AbstractMedical therapists often manage medications to improve therapeutic outcomes for their patients. For senior patients who take multiple drugs to manage various conditions, medication adherence is critical. To provide an immersive and engaging medication reminder experience, the authors propose i‐Ware, a smart wearable m‐Health (mobile health) device. The system's hardware and software were co‐designed to meet non‐functional requirements. The model reminds patients to take their medication, and the augmented reality goggles aid those who struggle to manage their medicine. The navigation features help users find their way home, and the audio feature reads out the date and time, useful for patients with low vision. The i‐Ware system has the potential for real‐world application and can significantly improve medication adherence. As an AR‐enabled medicine reminder, i‐Ware is an innovative solution for medication management in senior patients.