Navigation Features Research Articles

Decoding Features of Real-world Navigation from the Human Hippocampus

Decoding Features of Real-world Navigation from the Human Hippocampus

Evaluasi Performa Sistem Informasi FMIPA Universitas Lampung Menggunakan Information Systems Functional Scorecard (ISFS)

The information system at FMIPA Unila (Faculty of Mathematics and Natural Sciences, University of Lampung) is intended to support both academic and non-academic activities within the FMIPA Unila community. However, the system frequently faces disruptions, ranging from server shutdowns to unauthorized access by malicious individuals. Furthermore, some of the information service menus and features are currently inaccessible within the FMIPA Unila information system. The main aim of this study is to evaluate the operational efficiency of the FMIPA Unila information system from the user's point of view. The research employs the Information Systems Functional Scorecard (ISFS) method, which comprises three assessment dimensions: system performance, information effectiveness, and service performance. To gauge system performance, questionnaires were distributed to 100 student participants who represent various departments at FMIPA Unila. According to the ISFS calculations, the overall performance of the Unila FMIPA information system can be generally deemed satisfactory. Recommendations for improving and fine-tuning the FMIPA UNILA information system include the provision and completion of information services currently missing from the Profile menu, Academic menu, Research and Service menu, Student Affairs menu, and Document menu. Furthermore, enhancements should be made to the system's menu navigation features and menu buttons to ensure their proper functionality.

A Technology-Acceptance-Model-Based Study of the Attitudes Towards Learning Management Systems Among Teachers During the COVID-19 Pandemic

There is an emergent need to examine teachers' acceptance of distance education through LMS during emergencies to leverage online teaching and learning to enhance teachers' future readiness for digital transformation in education. This study explores Saudi teachers' perceptions of Madrasati (national e-learning system). It investigates its ease of use, usefulness, behavioural intention to use the system, and its actual use in association with external factors from teachers' perspective to identify the platform's most supportive elements during remote online teaching due to the COVID-19 pandemic. The findings from 197 participants show that teachers positively perceived Madrasati regarding the system's external variables, including content quality, teaching support, visual design, system navigation features, ease of access, system interactivity, and instructional assessment tools, and they positively perceived the system's learnability.

Self-Propelled Janus Nanocatalytic Robots Guided by Magnetic Resonance Imaging for Enhanced Tumor Penetration and Therapy

Biomedical micro/nanorobots as active delivery systems with the features of self-propulsion and controllable navigation have made tremendous progress in disease therapy and diagnosis, detection, and biodetoxification. However, existing micro/nanorobots are still suffering from complex drug loading, physiological drug stability, and uncontrollable drug release. To solve these problems, micro/nanorobots and nanocatalytic medicine as two independent research fields were integrated in this study to achieve self-propulsion-induced deeper tumor penetration and catalytic reaction-initiated tumor therapy in vivo. We presented self-propelled Janus nanocatalytic robots (JNCRs) guided by magnetic resonance imaging (MRI) for in vivo enhanced tumor therapy. These JNCRs exhibited active movement in H2O2 solution, and their migration in the tumor tissue could be tracked by non-invasive MRI in real time. Both increased temperature and reactive oxygen species production were induced by near-infrared light irradiation and iron-mediated Fenton reaction, showing great potential for tumor photothermal and chemodynamic therapy. In comparison with passive nanoparticles, these self-propelled JNCRs enabled deeper tumor penetration and enhanced tumor therapy after intratumoral injection. Importantly, these robots with biocompatible components and byproducts exhibited biosecurity in the mouse model. It is expected that our work could promote the combination of micro/nanorobots and nanocatalytic medicine, resulting in improved tumor therapy and potential clinical transformations.

An Inter-Ridge Navigation Path Extraction Method Based on Res2net50 Segmentation Model

The extraction of navigation lines plays a crucial role in the autonomous navigation of agricultural robots. This work offers a method of ridge navigation route extraction, based on deep learning, to address the issues of poor real-time performance and light interference in navigation path recognition in a field environment. This technique is based on the Res2net50 model and incorporates the Squeeze-and-Excitation Networks (SE) attention mechanism to focus on the key aspects of the image. The empty space pyramid pooling module is presented to further extract high-level semantic data and enhance the network’s capacity for fine-grained representation. A skip connection is used to combine the high-level semantic characteristics and low-level textural features that are extracted. The results of the ridge prediction are then obtained, followed by the realization of the final image segmentation, through sampling. Lastly, the navigation line is fitted once the navigation feature points have been retrieved using the resulting ridge segmentation mask. The outcomes of the experiment reveal that: the Mean Intersection over Union (MIOU) and F-measure values of the inter-ridge navigation path extraction approach suggested in this paper are increased by 0.157 and 0.061, respectively, compared with the Res2net50 network. Under various illumination situations, the average pixel error is 8.27 pixels and the average angle error is 1.395°. This technique is appropriate for ridge operations and can successfully increase network prediction model accuracy.

Reconfiguration of brain network dynamics underlying spatial deficits in subjective cognitive decline

Brain dynamics and the associations with spatial navigation in individuals with subjective cognitive decline (SCD) remain unknown. In this study, a hidden Markov model (HMM) was inferred from resting-state functional magnetic resonance imaging data in a cohort of 80 SCD and 77 normal control (NC) participants. By HMM, 12 states with distinct brain activity were identified. The SCD group showed increased fractional occupancy in the states with less activated ventral default mode, posterior salience, and visuospatial networks, while decreased fractional occupancy in the state with general network activation. The SCD group also showed decreased probabilities of transition into and out of the state with general network activation, suggesting an inability to dynamically upregulate and downregulate brain network activity. Significant correlations between brain dynamics and spatial navigation were observed. The combined features of spatial navigation and brain dynamics showed an area under the curve of 0.854 in distinguishing between SCD and NC. The findings may provide exploratory evidence of the reconfiguration of brain network dynamics underlying spatial deficits in SCD.

Designing Personas for E-Resources Users in the University Libraries

Persona is a method to create a user profile by describing a fictitious user through user experience. This persona study needs to be carried out for the benefit of system design according to the users’ wishes because, so far, electronic resources (e-resources) are not widely used due to cognitive and affective factors such as limited subscription resources, limited user manuals, limited navigation features, and frequent errors when using electronic resources. This leaves the user feeling confused and stressed. The aim of this study is to obtain profiles of e-resource users in college libraries. The method used is an empathy map created with data from 32 users who answered questionnaires and participated in interviews. This study found four e-resource user personas in university libraries: lecturers, students, research assistants, and librarians. Users want a guide for using electronic resources that allows for chat and sharing, and which is fun and can be accessed from any device anytime and anywhere. The benefits of this study will be useful for designing e-resource systems according to users’ wishes.

The Implementation of a Smart Lifejacket for Assisting Passengers in the Evacuation of Large Passenger Ships

The evacuation and abandonment of large passenger ships, involving thousands of passengers, is a safety-critical task where techniques and systems that can improve the complex decision-making process and the timely response to emergencies on board are of vital importance. Current evacuation systems and processes are based on predefined and static exit signs, information provided to the passengers in the form of evacuation drills, emergency information leaflets and public announcements systems. It is mandatory for passengers to wear lifejackets during an evacuation, which are made of buoyant or inflatable material to keep them afloat in the water. Time is the most critical attribute in ship evacuation and can significantly affect the overall evacuation process in case passengers do not reach their embarkation stations in a timely manner. Moreover, extreme conditions and hazards, such as fire or flooding, can prevent and hinder the timely evacuation process. To improve the current evacuation systems onboard large passenger ships, a smart lifejacket has been designed and implemented within the context of the project SafePASS. The proposed smart lifejacket integrates indoor localization and navigation functionality to assist passengers during the evacuation process. Once the passenger location is calculated within the ship, the navigation feature guides the passengers along an escape route using vibration motors attached to the lifejacket. This is done in the form of haptic cues to help passengers reach their destination, especially in low-visibility conditions and in case they are left behind or lost. This can increase passenger safety and reduce the total evacuation time, as well as support dynamic evacuation scenarios where the predefined routes and static exit routes may not be available due to fire or flooding incidents.

Abstract WMP21: Virtual Reality Module For Stroke Education

Introduction: E-learning has been used to evaluate competency in hospital staff for many years, with virtual reality (VR) education becoming more popular over the last fifteen years. In 2020, a rural hospital in Indiana partnered with a local technology vendor to create a VR experience for stroke education. The goal was to train nurse and physician staff on the triage, assessment, and care of acute stroke patients in the emergency room setting, upholding the standards set forth by the accrediting agency. Research began to provide qualitative data regarding this educational platform. Methods: The VR platform included video education, hospital specific resources, and an immersive 360 video assessment of an acute stroke patient videotaped on the hospital’s campus. An introductory video demonstrated how to use the learning platform. The module was competency based, meaning staff could receive a maximum of 58 questions, with the quiz function shutting off after the participant scored an 80%. Thirty-five hospital staff were asked to complete the beta test. Twelve of those staff members completed the module and provided feedback via an anonymous eight question survey embedded in the VR platform. The survey included three open ended questions that provided an opportunity for staff to share feedback. Results: Overall, participants expressed that the educational platform was hospital specific, engaging, and technologically advanced. All participants were able to achieve a passing score on the first attempt. Unfortunately, there was a glitch in the system that made the passing score 68%, which was lower than the desired competency of 80%. Over half of the participants rated the VR module as very good or excellent on a five point scale. Staff feedback revealed multiple technical issues with video lag time and challenges with the automated narration of the quiz questions. Conclusion: In conclusion, the VR educational module was found to be an effective form of stroke education for hospital staff. Following the analysis of the beta test results, the core research team was able to adjust the VR module to decrease lag time, remove the auto narration, increase the passing score to 80%, and improve the navigation features to make the learning environment more learner friendly.

Features of the Development of a Navigation Safety System for Unmanned Port Tugs Based on the Risk Assessment Method

Despite the abundance of automatic and automated ship control systems, including those suitable for the implementation of autonomous and remote ship control modes, the basics of the navigation safety management system have not yet been formulated, adapted to the features of unmanned and unmanned navigation. It is important to know what to expect from any given circumstances. Only when these professionals fully understand the capabilities and limitations of the various types of tugs in general and the individual tug, including the impact on the performance of the production task, can tugs be used in the safest and most efficient way. The primary task is to create a risk assessment map and a system for evaluating expert opinions. The development of a safety management system for unmanned shipping has theoretical and practical significance, the principles and features described in the work allow taking into account the specifics and features of performing production tasks by unmanned port tugs. court. The purpose of this work is to identify the features of SMS adaptation for unmanned vessels in comparison with the traditional SMS.

OPTIMIZATION OF THE BARGE-TOWING COMBINATIONS CONFIGURATION DEPENDING ON THE OVERALL AND NAVIGATIONAL CHARACTERISTICS OF INLAND WATERWAYS

The organization of transportation by inland water transport involves taking into account the overall characteristics and navigational features of waterways, the choice of a vessel to work on the route, ensuring the safety of navigation and the economic efficiency of the voyage. One of the main advantages of barge-towing combinations is the possibility of their formation according to the specified dimensions of the waterway. The purpose of this work is to overcome the linear approach currently used in the formation of the ship’s composition, and to develop mathematical foundations for describing the barge-towing combination control system, a particular task is to optimize the barge-towing combination structure for local restrictions of waterway sections. To solve this problem, the possibility of reorganizing the ship’s composition directly on the route, depending on the conditions for the passage of a particular section of inland waterways is supposed to study in the work; it in the future will improve the transportation efficiency and ensure the transportation of more cargo per voyage. For the mathematical description of inland waterways, their natural characteristics are used in the work, sections coincided in restrictive features are identified, that is, each section of inland waterways, depending on its type, has a certain set of restrictions related to overall characteristics that must be taken into account when organizing navigation. The simulation of the movement of a ship’s combination along sections of waterways of various types, including a curved section, performed by graphic-analytical methods, shows the limitations arising when entering a turn and passing through artificial narrowings of the fairway, and also reflects the ability to pass the entire route due to a change in configuration when maintaining the total carrying capacity of the ship’s combination. As a result, mathematical relations and a system of inequalities that determine the choice of a section of inland waterways for the operation of ship’s combinations in a certain (specified) configuration and planning their reformation according to the given characteristics of the waterway are obtained.

Knowledge Organization Approach in Online Public Access Catalogues (OPAC) for Search and Navigation

Effective organization, discovery, and retrieval of resources have always been essential functions for any library. Libraries have implemented various new information systems along with traditional library systems such as federated search, webscale discovery, next-generation catalogue, etc. Faceted navigation, known as faceted search, faceted browsing, or guided navigation, has been applied in many e-commerce sites and dominates features in the interaction paradigm. Faceted approach to knowledge organization in searching and navigation features in the online catalogue supports users in finding the information needed in the most effective and efficient manner. This paper discusses faceted searching and navigation application in library Online Public Access Catalogues (OPAC).

Numerical feasibility study for dredging and maintenance alternatives in Everett Harbor and Snohomish River

Snohomish River, which supports the third largest complex of tidally flooded estuarine and freshwater wetlands in Puget Sound, Washington, USA, delivers a large amount of sediment load to the lower estuary including the federal navigation channel and the Everett Harbor. In recent years, progressive sedimentation and diminished dredged material placement site capacity have led to economic impacts, particularly near the local service facilities maintained by the Port of Everett. An assessment of the performance of existing navigation features including jetties, dikes, and sedimentation basins was conducted using the latest generation of hydrodynamic and sediment transport numerical models to inform long-term sediment and navigation channel management decisions. This study assessed the relative merits of available alternatives for improving dredging and maintenance needs using hydrodynamic and sediment transport models: Finite Volume Community Ocean Model (FVCOM) and Adaptive Hydraulic model (AdH). In this paper, we present the refinement, setup, and calibration of morphological models using available data collected from the years 2017 and 2018 with a focus on in-channel sedimentation basins and the Port of Everett marinas. The potential for reduction in sedimentation through site-specific structure construction and repairs was evaluated. The results show that while it is feasible to modify in-channel sedimentation through river training structures, deposition at off-channel marinas along the banks and shelves may require sediment exclusion alternatives such as curtains and walls. Construction of training structures at the boat launch and reconstruction/repair of an existing training structure near the Port of Everett marinas provided promising response and merits further exploration. This study demonstrated that sediment transport simulation provided valuable information on the efficacy of proposed solutions and could help avoid unnecessary costs with alternatives likely to fail or be ineffective.

An Illumination-Invariant Shadow-Based Scene Matching Navigation Approach in Low-Altitude Flight

Differences in acquisition time, light conditions, and viewing angle create significant differences among the airborne remote sensing images from Unmanned Aerial Vehicles (UAVs). Real-time scene matching navigation applications based on fixed reference maps are error-prone and have poor robustness. This paper presents a novel shadow-based matching method for the localization of low-altitude flight UAVs. A reference shadow map is generated from an accurate (0.5 m spatial resolution) Digital Surface Model (DSM) with the known date and time information; a robust shadow detection algorithm is employed to detect shadows in aerial images; the shadows can then be used as a stable feature for scene matching navigation. Combining the conventional intensity-based matching method, a fusion scene navigation scheme that is more robust to illumination variations is proposed. Experiments were performed with Google satellite maps, DSM data, and real aerial images of the Zurich region. The radial localization error of the Shadow-based Matching (SbM) is less than 7.3 m at flight height below 1200 m. The fusion navigation approach also achieves an optimal combination of shadow-based matching and intensity-based matching. This study shows the solution to the inconsistencies caused by changes in light, viewing angle, and acquisition time for accurate and effective scene matching navigation.

Surfing on Turbulence: A Strategy for Planktonic Navigation.

In marine plankton, many swimming species can perceive their environment with flow sensors. Can they use this flow information to travel faster in turbulence? To address this question, we consider plankters swimming at constant speed, whose goal is to move upward. We propose a robust analytical behavior that allows plankters to choose a swimming direction according to the local flow gradients. We show numerically that such plankters can "surf" on turbulence and reach net vertical speeds up to twice their swimming speed. This new physics-based model suggests that planktonic organisms can exploit turbulence features for navigation.

SISTEM INFORMASI UMKM KAMPUNG GERABAH DESA PAGELARAN BERBASIS ANDROID

The development of information and communication technology marked by the internet has brought society into a new era. Information and communication technology can solve problems and reduce the burden on SMEs. On the other hand, based on data from the MSME organization of the Pottery Village, Pagelaran Village which consists of 25 pottery craftsmen and there are 24 pottery craftsmen who do not have a desktop or laptop computer, 22 of all craftsmen use mobile phones based on the Android operating system. For the method of data collection is done by means of interviews, literature studies and observation. Utilization of IT can be done by MSME actors to provide complete information about products, manufacturing locations, product descriptions, and features for ordering MSME products that can be used as a means to promote and introduce MSME centers in the Pagelaran Village. With the application of the MSME information system, Kampung Gerabah now has media for promotion and marketing of handicraft products and it is hoped that it can help improve the economy of the residents of the pottery village of Pagelaran Village. This application was successfully built using the Java programming language and PHP as an android application builder. The Codeigniter and Android Native frameworks are used to display product catalogs, craftsman information, customer information, so that it can make it easier for application users to get information. In this application, the Raja Ongkir API is used to calculate the cost of product delivery costs. As for the navigation features in this application using the Google Maps API. suggestions for further application development, namely in terms of presenting information to users and developing new features that can improve the application.

BIMBINGAN TEKNIS PEMASANGAN PERANGKAT SPC CAMERA MODEL KST2 UNTUK KEAMANAN WARGA PERUMAHAN CITRA CANDI MENDUT MALANG

At this time the demand for security cameras is increasing in line with the increasing number of criminal acts, this technology seems to be required to be installed in various public places and facilities that require more supervision in order to create security and safety. IP Camera (type KST2 SPC) is the latest solution in the field of security. This monitoring device has a monitor range that is not limited to the room, but the IP camera can also be accessed by a personal computer or laptop that is connected directly via LAN, Internet, or cellular network. IP Camera is a long-term solution that is very useful, very flexible, and can work for the next 10 years. IP Camera has other features such as camera selection and navigation features that affect video size and access speed. IP Camera is a CCTV (Closed Circuit Television) camera that uses Internet Protocol to transmit image data and control signals. Thus, IP cameras have several advantages over analog CCTV. In its use, this tool is also quite easy to integrate with various electronic-based early warning systems. Data from camera readings can be stored on a microSD which can store recording activity data for a full month.

Development of a Web-Based Decision Aid and Planning Tool for Family Building After Cancer (Roadmap to Parenthood): Usability Testing.

BackgroundOwing to gonadotoxic cancer treatments, young adult female survivors often report uncertainty about their fertility, reproductive potential, and family-building options after treatment. Roadmap to Parenthood is a web-based decision aid and planning tool for family building after cancer.ObjectiveAs part of a patient-centered development process, this study evaluated the usability of the decision aid website to inform design modifications and improve user experience.MethodsIn total, 2 rounds of usability testing were conducted with the target population of young adult female cancer survivors. During the testing sessions, participants viewed the website twice; first, as a think-aloud exercise, and second, while a researcher interrupted at key points to obtain user feedback. Quantitative and qualitative data were collected to assess website usability. Quantitative measures included the System Usability Scale, WebQual, and eHealth Impact Questionnaire. An exit interview with open-ended questions gathered feedback on likes and dislikes and suggestions for improvement.ResultsParticipants (N=10) were young adult women, with average age of 30.9 (SD 4.51) years, and average time since treatment was 4.44 (SD 3.56) years. Website usability scores improved on the System Usability Scale from “acceptable” in round 1 to “excellent” in round 2 after making design changes based on user feedback (scores of 68 and 89.4, respectively). WebQual scores showed similar improvement from round 1 to round 2 of testing (mean 5.6 to 6.25; range 1-7). On the eHealth Impact Questionnaire, the information and presentation of the website was perceived as comprehensive, easy to understand, and trustworthy. Participants also reported improved confidence to discuss and manage fertility and family-building issues and felt encouraged to play a more active role in managing their fertility. In all, 3 usability themes were identified from the qualitative feedback: ease of use, visibility and navigation, and informational content and usefulness. Overall feedback was positive, and participants reported intentions to use the decision aid website in the future. In total, 10% (1/10) of the participants reported negative emotions when learning about infertility risks and potential family-building challenges.ConclusionsWebsite usability improved after design changes were made in response to user feedback. Young adult female survivors reported positive views about the website and indicated that the decision aid would be useful in decision-making about family building after cancer. Future studies will include further design modifications to consider the emotional experiences of users and any additional navigational features or content to optimize the ease of use and support provided by the tool.

Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port Classification

Vessel navigation is influenced by various factors, such as dynamic environmental factors that change over time or static features such as vessel type or depth of the ocean. These dynamic and static navigational factors impose limitations on vessels, such as long waiting times in regions outside the actual ports, and we call these waiting regions gateway ports. Identifying gateway ports and their associated features such as congestion and available utilities can enhance vessel navigation by planning on fuel optimization or saving time in cargo operation. In this paper, we propose a novel temporal graph neural network (TGNN) based port classification method to enable vessels to discover gateway ports efficiently, thus optimizing their operations. The proposed method processes vessel trajectory data to build dynamic graphs capturing spatio-temporal dependencies between a set of static and dynamic navigational features in the data, and it is evaluated in terms of port classification accuracy on a real-world data set collected from ten vessels operating in Halifax, NS, Canada. The experimental results indicate that our TGNN-based port classification method provides an f-score of 95% in classifying ports.

Next level of hospitalisation through smart ICU

Automation technology is developing intelligent health applications to facilitate patients by providing smart health solution. However, plethora of research is required in the autonomous robotics industry to provide smart solutions to hospitals.Hence, the proposed study aims to develop an intelligent automated infrastructure for hospitals, capable of performing several smart tasks in an Intensive Care Unit (ICU). The developed system will make food and medicine approachable by using a robotic arm on an autonomous robot. Furthermore, robotic arm can be locally controlled by the patient paramedic’s staff. The proposed intelligent robot will monitor patient’s condition by automatically monitoring the vitals conditions such as sleeping, stress, discomfort etc. This proposed system is very useful for diseases where close proximity can spread the disease, such as the covid-19 situation. Moreover, the automation will aid ICU patients by controllable bed functionality supported with patient’s EEG signals or remotely by staff. This research proposed LSTM based neural network for EEG classification and compare the results with other machine learning algorithms. The proposed LSTM network achieve 94% accuracy on self generated dataset. The achieved results are also compared with other machine learning models like SVM and Multilayer Perceptron (MLP). The intelligent navigation feature is also introduced which enables the robot to move autonomously in ICU. In addition to this, it can also establish video conference set up between the patient, staff and family members. The robot can automatically alert the staff in an emergency and assist the patient through an intelligent chatbot.