Tracking System In Order Research Articles

ChArTeR: Pocket-Friendly Filming Equipment Rental Web- App with Voice Companion U.I. with the help of A.I. and M.L.

Introducing ”Charter”, a web-app, that has revolutionized various groups, including Students (B. F. A.), Young YouTubers, and Construction Workers. Powered by the innovative ”Voice Companion U. I.” executing the role of a ”Salesman”, A ”Chatbot” replacing the traditional Toll-Free No. ”Call-centre systems”, have made it a seamless and user-friendly experience. And ”Order Tracking System” for those who wish to have a Home Delivery. The primary objective is to create an efficient and secure user experience. Key words: V.C.U.I.:Voice Companion User Interface; BFA:Bachelor of Fine Arts; Artificial Intelligence; XAMPP; Blockchain; Two classes of customers.

Pick-by-vision technology as an advancement in logistics process solutions

The aim of this article is to describe pick-by-vision technology as an effective tool for solving logistics process problems. The technology is the result of the work of TeamViewer Germany GmbH and is already in use in German companies. The introduction of this technology helps companies in several aspects and brings several benefits. It is not a complex technology that would need complex and therefore expensive software and hardware. The technology is because up to 80% of all information is perceived by sight. This gives the operator a free hand. Several advantages are described in the article below. The technology works with a pick-by-light device that is attached to the employee's hand. By scanning, the glasses display all the information the operator needs. No paper or other order tracking system or logistics processes are required.

Improving Maritime Domain Awareness in Brazil through Computer Vision Technology

This article discusses the Brazilian maritime authority’s efforts to monitor and control vessels in specific maritime areas using data from the naval traffic control system. Anomalies in vessel locations can signal security threats or illegal activities, such as drug trafficking and illegal fishing. A reliable Maritime Domain Awareness (MDA) is necessary to reduce such occurrences. This study proposes a data-driven framework, CV-MDA, which uses computer vision to enhance MDA. The approach integrates vessel records and camera images to create an annotated dataset for a Convolutional Neural Network (CNN) model. This solution supports detecting, classifying, and identifying small vessels without trackers or that have deliberately shut down their tracking systems in order to engage in illegal activities. Improving MDA could enhance maritime security, including identifying warships invading territorial waters and preventing illegal activities.

Research and Development of a COVID-19 Tracking System in Order to Implement Analytical Tools to Reduce the Infection Risk.

The whole world is currently focused on COVID-19, which causes considerable economic and social damage. The disease is spreading rapidly through the population, and the effort to stop the spread is entirely still failing. In our article, we want to contribute to the improvement of the situation. We propose a tracking system that would identify affected people with greater accuracy than medical staff can. The main goal was to design hardware and construct a device that would track anonymous risky contacts in areas with a highly concentrated population, such as schools, hospitals, large social events, and companies. We have chosen a 2.4 GHz proprietary protocol for contact monitoring and mutual communication of individual devices. The 2.4 GHz proprietary protocol has many advantages such as a low price and higher resistance to interference and thus offers benefits. We conducted a pilot experiment to catch bugs in the system. The device is in the form of a bracelet and captures signals from other bracelets worn at a particular location. In case of contact with an infected person, the alarm is activated. This article describes the concept of the tracking system, the design of the devices, initial tests, and plans for future use.

Integrated production planning and warehouse storage assignment problem: An IoT assisted case

This study is motivated by a real-world problem in a food company, where production planning is restricted by the available warehouse space for the finished goods. A novel integrated strategy that combines production planning with a randomized storage assignment policy is presented. The strategy takes advantage of greater visibility and traceability of items provided by IoT-enabled tracking systems in order to increase space utilization. An integer linear programming model is developed to formulate the strategy to minimize the total cost of production and warehouse operations. Our model is the first dynamic model for a randomized storage assignment policy. The model's feasibility, complexity, and its lower bound are presented. A heuristic algorithm is developed to obtain the near-optimal solution for the large-scale real-world problem. Based on numerical experiments, comparisons between our solutions and the solutions to model with a dedicated storage policy are also presented. The results show that the integrated strategy with a randomized storage policy can significantly reduce the total cost (up to 16.84% with an average of 9.95%) and increase space utilization (up to 26.1% with an average of 14.8%), compared to the strategy with a dedicated policy. Such results provide evidence that may justify the cost of applying the new technologies, such as IoT-enabled tracking systems, in warehouse management.

Global Positioning Based Tracking System of Vehicle

The research is about creating a system for tracking vehicle. Objective of the research is to design and develop a GPS based Vehicle Tracking System in order to display location of vehicle on Google Maps. This system used Arduino MEGA as a microcontroller and it will be used as the main processing unit. Next, Ublox NEO-6m GPS module is used to routing the coordinate while SIM 900A GSM module is used to connecting with the user. The product was successfully run at outdoor and having some problem at indoor due to GPS module cannot extract the accurate coordinate when there is a roof or obstructer that block the direct signal connection between the GPS and satellite. For the next improvement, the researcher can use the high quality of GPS module to connect with satellite. An example, GPS NEO-6P module where it can collect data more accurate and stay connect to the satellite

Performance Assessment of Bug Fixing Process in Open Source Repositories

Software bugs are inevitable. Large software projects often use bug tracking systems in order to collect, organize and keep track of reported bugs. The primary objective of using these bug tracking systems is to expedite the bug fix process which further improves the overall quality of software product. However, managing bug tracking systems incurs additional cost and efforts. Hence, it is important to monitor the performance of the bug fix process which is followed in bug tracking systems. The aim of this paper is to identify the performance characteristics of the bug fixing process in open source bug repositories. Various performance metrics have been investigated which measures the bug fix process quality. For experimental evaluation, bug reports are collected from Bugzilla repository of Mozilla Firefox, Eclipse, NetBeans and Open Office projects. It has been found that overall 45.67% of bug reports are closed with fixed resolution. Rest 54.33% bug reports keep lying in bug repository unresolved thereby creating an extra backlog of work for software developers. Further, the root causes have been determined which keeps these large portions of bug reports lying in bug repositories opened and found that Non-Reproducible bugs are the most deteriorating factor in bug fix process and affects the fix process performance negatively.

Research on Order Tracking System for MTO

MTO is the most appropriate approach used for highly customized products, It requires the order tracking system for controlling the delivery date, manufacturing process and products quality. The author has made researches on the order, the manufacturing process and organization model, then presents a order tracking system architecture for MTO (Make-to-Order) based on the study of order tracking functions and contents, and finally proves the model and system architecture valid by the case.

Research on Order Tracking System for MTO

Research on Order Tracking System for MTO

Online Multiple Maneuvering Vehicle Tracking System Based on Multi-Model Smooth Variable Structure Filter

Autonomous vehicles need a real-time traffic tracking system in order to interact with multiple moving vehicles in urban situations. Most existing works rely on camera sensors to interpret the surrounding environment. However, camera sensors degrade in conditions of lighting, shadows, and extreme weathers such that they can hardly detect objects. The light detection and ranging (LiDAR) sensors promise to be a good substitute, as they enable highly precise and robust localization across a wide range of conditions. This paper presents a new LiDAR-based online multiple maneuvering vehicle tracking problem and proposes a novel online multi-model smooth variable structure filter to address the problem. The real-time experiments show that our method is able to deliver superior performance compared to other conventional methods.

Design of Bus Tracking and Fuel Monitoring System

The need for efficient public transportation system such as buses is rapidly increased due to the increasing in population, the students need to predict the arrival time of the bus and then plan their journey from their home. Fuel monitoring have been the major problem that most of bus companies looking to solve. Due to the rapid advancement in technology it had been designed and implemented almost in every vehicle nowadays. This system develops a bus tracking and monitoring the fuel to provide a facility for the management requirements by the administrator. This system based on Arduino, GSM/GPS by which we can predict arrival time in addition to graphically showing the bus location on Google map. The use of the fuel sensor in this system is to monitor the fuel level. The design also enables the owner of the buses to monitor the bus instantaneously because the system administrator can easily maintained database information of buses and its fuel tank at any time of the service. Our project is about to design and implement a cost effective and efficient bus tracking system in order to avoid bus passenger�s unnecessary waiting in the bus stops and administrator could maintain the fuel more efficiently.

A Novel Approach for Optimization Control of Dynamic Tracking With Platform Vibration in the Ground Test of Satellite Laser Communication Systems

Vibration interference reduces the precision of the control system and leads to the instability of the satellite optical communication link. So how to improve the tracking accuracy of the terminal system under vibration conditions is an important work for the ground test of satellite laser communication systems. In this paper, the tracking characteristic based on the platform vibration is introduced for coarse tracking and the combination of coarse and fine tracking, we propose a structural decoupling approach and iterative learning control scheme using sliding-mode control to investigate the performance of the tracking system in order to achieve the error minimization, and further to improve the system performance. The scheme is introduced to increase the tracking accuracy and the robustness of the system against external disturbances. The experimental results of the steady-state tracking response and the high tracking precision are carried out on a 4.62 km bidirectional free space laser link experiment, and the obtained test results (less than $2~\mu $ rad) demonstrate the effectiveness of the proposed control scheme in suppressing oscillation. This new method is good for the ground test of the satellite laser communication systems.

Study of order lifecycle tracking systems in building material equipment manufacturing enterprises

The typical business processes in building material equipment manufacturing enterprises are analyzed, and the framework and functional models of the tracking system for building material equipment manufacturing enterprises in the order lifecycle are presented. Based on the model, using a mobile agent and XML technology, the order tracking system’s framework is built for building material equipment manufacturing enterprises based on a mobile agent in the Aglet platform. The key technologies in the process of tracking the order lifecycle are introduced in detail. Finally, a prototype system is developed and used in an enterprise successfully, verifying the feasibility and availability of the system.

Respiratory Motion Correction Using A Novel Positron Emission Particle Tracking Technique: A Framework Towards Individual Lesion-Based Motion Correction.

Respiratory motion during PET/CT imaging is a matter of concern due to degraded image quality and reduced quantitative accuracy caused by motion artifacts. One class of motion correction methods relies on hardware-based respiratory motion tracking systems in order to use respiratory cycles for correcting motion artifacts. Another class of hardware-free methods extract motion information from the reconstructed images or sinograms. Hardware-based methods, however, are limited by calibration requirement, patient discomfort, lack of adaptability during scanning, presence of electronic drift during respiratory monitoring etc. Extracting motion information from reconstructed images is also limited by the fact that the original raw information requires significant processing before it can be used. Hence the motivation behind this work is to introduce a software-based approach that can be applied on raw 64-bit listmode data. The basic design of the proposed method is based on the fundamentals of Positron Emission Particle Tracking (PEPT) with additional incorporation of Time of Flight (TOF) information. Respiratory motion of patients has been extracted from the raw PET data by tracking a point source attached to the patient in areas on and near the chest. The key objective of this work is to describe a new process by which this particle tracking based motion correction system can eventually be lesion specific and correct the motion for a particular lesion within the patient. This work thus serves as a framework for lesion specific motion correction.

The Development of Appropriate Gun Control Measures for Thailand: District Chief and Police Perspectives

This study aims to discern impediments to gun control and registration in Thailand. Currently, the Department of Provincial Administration is responsible for issuing gun permits and registration, including those used by law enforcement personnel. In-depth interviews were conducted with executives from the Ministry of Interior and Royal Thai Police with an additional survey conducted with a sample group of 878 district chiefs and 1,465 superintendents throughout the country. The study reveals a spectrum of opinions on this issue, including divergent perspectives from the district chief and the police in Thailand. Moreover, it is argued that tighter gun control and restrictions are needed, as the issuing guidelines for gun registration and permits are lax, creating disparities in terms of who is able to own and operate firearms in Thailand. This is largely attributed to the deeply ingrained system of patronage in the country, which can allow for laws to be bypassed. The study demonstrates overarching issues in gun control measures in Thailand that must be addressed. Chiefly among them are better verification mechanisms for gun ownership and licensing to the establishment of a gun owner database and gun tracking system in order to reduce and prevent gun related crimes.

Adjusting stereoscopic parameters by evaluating the point of regard in a virtual environment

Despite the growth in research and development in the area of virtual reality over the past few years, virtual worlds do not yet convey a feeling of presence that matches reality. This is particularly due to the difference in visual perception of flat images as compared to actual 3D. We studied the impact of two parameters of the stereoscopic configuration, namely, the inter-camera distance (ICD) and the presence of a depth of field blur (DOF blur). We conducted an experiment involving 18 participants in order to evaluate this impact, based on both subjective and objective criteria. We examined six configurations which differed in the presence or absence of DOF blur and the value of the ICD: fixed and equal to the anatomical interpupillary distance, fixed and chosen by the participant, or variable, depending on the depth of the viewer’s point of regard (POR). The DOF blur and the variable ICD require the use of an eye tracking system in order to be adjusted with respect to the POR. To our knowledge, no previously published research has tested a gaze-contingent variable ICD along with dynamic DOF blur in a Cave Automatic Virtual Environment. Our results show that the anatomical and variable ICD performed similarly regarding each criterion of the experiment, both being more efficient than the fixed ICD. Besides, as with earlier similar attempts, the configurations with DOF blur obtained lower subjective evaluations. Although mainly not significant, the results obtained by the variable ICD and DOF blur are likely due to a noticeable delay in the parameters update. We also designed a new methodology to objectively compare the geometry and depth rendering, based on the reproduction of the same scene in the real and virtual setups, and then on the study of resulting ocular convergence and angular deviation from a target. This leads to a new comparative criterion for the perceptual realism of immersive virtual environments based on the visual behavior similarity between real and virtual setups.

Taming the Costs of Trustworthy Provenance through Policy Reduction

Provenance is an increasingly important tool for understanding and even actively preventing system intrusion, but the excessive storage burden imposed by automatic provenance collection threatens to undermine its value in practice. This situation is made worse by the fact that the majority of this metadata is unlikely to be of interest to an administrator, instead describing system noise or other background activities that are not germane to the forensic investigation. To date, storing data provenance in perpetuity was a necessary concession in even the most advanced provenance tracking systems in order to ensure the completeness of the provenance record for future analyses. In this work, we overcome this obstacle by proposing a policy-based approach to provenance filtering , leveraging the confinement properties provided by Mandatory Access Control (MAC) systems in order to identify and isolate subdomains of system activity for which to collect provenance. We introduce the notion of minimal completeness for provenance graphs, and design and implement a system that provides this property by exclusively collecting provenance for the trusted computing base of a target application. In evaluation, we discover that, while the efficacy of our approach is domain dependent, storage costs can be reduced by as much as 89% in critical scenarios such as provenance tracking in cloud computing data centers. To the best of our knowledge, this is the first policy-based provenance monitor to appear in the literature.

Feedback Control of Soft Robot Actuators via Commercial Flex Bend Sensors

Soft robotics is an emerging field that takes advantage of compliant materials and makes use of nonstandard actuators. Flexible fluid actuators (FFAs) use fluid pressure to produce high deformation of elastomeric-based structures. However, closed-loop control of such actuators is still very challenging due to the lack of robust, reliable, and inexpensive sensors that can be integrated onto highly deformable actuator structures, involving very low cost materials and manufacturing. This paper presents a systematic approach to implement the feedback control of FFA-based soft robotic bending modules by using commercial flex bend sensors. A flex bend sensor detects the module curvature in one direction, and its response is processed by an on board microcontroller and sent to the central control system. Such sensor integration enables the closed-loop control of modular robotic architectures, often used in soft robotics. Once integrated with the soft module, the sensor response was calibrated by the use of a ground truth electro-magnetic tracking system in order to characterize its behavior when combined with the relative FFA. A feedback control using a low-pass filter and a proportional-integral controller was designed and used to evaluate the dynamic response and the position accuracy of the integrated module. With such closed-loop control, the module tip is positioned with less than 1 mm accuracy, which can be considered a relevant result in the soft robotics field.

DISTINGUISHING OF THE SIGNALS IN NONLINEAR DETERMINISTIC TRACKING SYSTEMS

In this paper was investigated the signal capture mode on the automatic tracking. Was presented the technique of quantitative evaluation of signal resolution process in deterministic nonlinear tracking systems first and second orders based on bifurcation (accident) theory. The calculation of the parametric characteristics of the discriminator if there is any pair of input signals. Calculated the capture spot, determined equilibrium state and assessed the stability of the first and second order tracking system. Sizes of capture spot depend strongly on the radio signals capacity. Was constructed the phase portraits of nonlinear tracking system. Was determined the stalled conditions of tracking useful signal.

Microcephaly and other Zika virus related events: the impact on children, families and health teams.

The present study aimed to present an overview of recent national and international research on the Zika virus (ZIKV), as well as to explore possible action plans focused on children, their families and the health teams involved.Therefore, the study proposes the implementation of tracking systems in order to identify, describe and characterize the potential correlates of prenatal exposure to ZIKV, divided into three lines of action: 1. Diagnostic and etiological evaluation as well as screening of developmental problems in children confirmed or suspected of prenatal ZIKV infection. 2. Investigation of the emotional impact, quality of life, coping strategies and support network of the affected children and their families. 3. Training of multidisciplinary teams to conduct assessments and intervention programs throughout these children's development, especially in the first three years of life. In conclusion, the recent ZIKV outbreak in Brazil and several other Latin American countries places a significant burden on the health care systems: to understand the real meaning of a potential new teratogen; to unravel the pathogenic mechanisms of ZIKV, particularly in a prevention perspective; and to recognize the broad spectrum of clinical manifestations in order to devise intervention programs.