Real-time Tracking Information Research Articles

Heart health prediction and classification: An IoMT and AI collaborative model

Internet of Things (IoT) technology has been used in medical care as the Internet of Medical Things (IoMT) to gather sensor data for diagnosing and predicting cardiac disease. IoMT allows users to access real-time tracking information and manually estimate the person's health using Machine Learning (ML) algorithms. The primary goal of the study proposal is to categorize data and forecast heart illness using health information and medical imagery. The suggested IoMT-based Heart Health Prediction and Classification (IoMT-HHPC) model is a medical data categorization and forecasting framework in two phases. If the first stage's outcome effectively predicts heart disease, the second step is image classification. Data collected from medical equipment attached to the person's body were initially categorized. Echocardiography (ECG) images were analyzed to forecast cardiac problems. This article used many ML techniques to forecast cardiac disease. An IoMT-HHPC model with ANN achieved an accuracy of 99.02%, surpassing the performance of other ML algorithms.

Augmented Reality Assisted Surgical Navigation System for Epidural Needle Intervention.

An augmented reality (AR)-assisted surgical navigation system was developed for epidural needle intervention. The system includes three components: a virtual reality-based surgical planning software, a patient and tool tracking system, and an AR-based surgical navigation system. A three-dimensional (3D) path plan for the epidural needle was established on the preoperative computed tomography (CT) image. The plan is then registered to the intraoperative space by 3D models of the target vertebrae using skin markers and real-time tracking information. In the procedure, the plan and tracking information are transmitted to the head-mounted display (HMD) through a wireless network such that the device directly visualizes the plan onto the back surface of the patient. The physician determines the entry point and inserts the needle into the target based on the direct visual guidance of the system. An experiment was conducted to validate the system using two torso phantoms that mimic human respiration. The experimental results demonstrated that the time and the number of X-rays required for needle insertion were significantly decreased by the proposed method (43.6±20.55sec, 2.9±1.3times) compared to those of the conventional fluoroscopy-guided approach (124.5 ± 46.7s, 9.3±2.4times), whereas the average targeting errors were similar in both cases. The proposed system may potentially decrease ionizing radiation exposure not only to the patient but also to the medical team.

Cyclist Satisfaction Evaluation Model for Free-Floating Bike-Sharing System: A Case Study of Shanghai

The free-floating bike-sharing system (FFBS) is an innovative public bicycle service, which is widely popular throughout China. In comparison to traditional station-based system, FFBS allows cyclists to park the bicycles in any non-motorized parking area so that the convenience can be improved greatly. Moreover, smart devices inside the free-floating bicycle can provide real-time tracking information which offers convenience for intelligent management. This study adopts the structural equation model to measure what factors influence people’s willingness to use the system and how the indicators inside the system interact with each other. Unlike the long-standing use of maximum likelihood estimation method, an approach of partial least squares estimation is used in this paper to remove the restriction of multivariate normal distribution. Based on the questionnaire carried out in 32 locations in Shanghai, a conceptual framework cyclist satisfaction index model is established, which includes three levels with 50 indicators. Then, to analyze the different perception among different kinds of cyclists, the study divides them into two groups: commuters and non-commuters. The parameter calibration for commuters and non-commuters are calculated separately. Finally, by virtue of importance-performance analysis (IPA) matrices, the problems in the existing service system are identified. The results demonstrate five aspects including riding environment, riding safety, government intervention, laws and staff service need urgent improvement. According to these findings, innovative countermeasures such as monitoring platform and electronic fences are under construction to prompt the use of FFBS.

Navigated Breast Tumor Excision Using Electromagnetically Tracked Ultrasound and Surgical Instruments.

Lumpectomy, breast conserving tumor excision, is the standard surgical treatment in early stage breast cancer. A common problem with lumpectomy is that the tumor may not be completely excised, and additional surgery becomes necessary. We investigated if a surgical navigation system using intraoperative ultrasound improves the outcomes of lumpectomy and if such a system can be implemented in the clinical environment. Position sensors were applied on the tumor localization needle, the ultrasound probe, and the cautery, and 3-D navigation views were generated using real-time tracking information. The system was tested against standard wire-localization procedures on phantom breast models by eight surgical residents. Clinical safety and feasibility was tested in six palpable tumor patients undergoing lumpectomy by two experienced surgical oncologists. Navigation resulted in significantly less tissue excised compared to control procedures (10.3 ± 4.4 versus 18.6 ± 8.7 g, p = 0.01) and lower number of tumor-positive margins (1/8 versus 4/8) in the phantom experiments. Excision-tumor distance was also more consistently outside the tumor margins with navigation in phantoms. The navigation system has been successfully integrated in an operating room, and user experience was rated positively by surgical oncologists. Electromagnetic navigation may improve the outcomes of lumpectomy by making the tumor excision more accurate. Breast cancer is the most common cancer in women, and lumpectomy is its first choice treatment. Therefore, the improvement of lumpectomy outcomes has a significant impact on a large patient population.

Real-time order tracking for supply systems with multiple transportation stages

This paper presents a stochastic model that evaluates the value of real-time shipment tracking information for supply systems that consist of a retailer, a manufacturer, and multiple stages of transportation. The retailer aggregates demand for a single product from end customers and places orders on the manufacturer. Orders received by the manufacturer may take several time periods before they are fulfilled. Shipments dispatched by the manufacturer move through multiple stages before they reach the retailer, where each stage represents a physical location or a step in the replenishment process. The lead time for a new order depends on the number of unshipped orders at the manufacturer’s site and the number and location of all shipments in transportation. The analytic model uses real-time information on the number of orders unfulfilled at the manufacturer’s site, as well as the location of shipments to the retailer, to determine the ordering policy that minimizes the long-run average cost for the retailer. It is shown that the long-run average cost is lower with real-time tracking information, and that the cost savings are substantial for a number of situations. The model also provides some guidelines for operating this supply system under various scenarios. Numerical examples demonstrate that when there is a lack of information it is better for the retailer to order every time period, but with full information on the status in the supply system it is not always necessary for the retailer to order every time period to lower the long-run average cost.

What is the value of real-time shipment tracking information?

This paper presents a stochastic model for evaluating the value of real-time shipment tracking information in a supply system with a manufacturer that fulfills demand from a retailer for a single product using a periodic review, order-up-to-level inventory control policy. Products shipped by the manufacturer can move through multiple stages before they reach the retailer, where each stage represents a physical location or a step in the replenishment process. The lead time for an order placed by the retailer depends on the distribution of all the shipments, or outstanding orders, across the different stages. Hence, it is desirable to track the location of shipments to determine the ordering policy that minimizes the long-run average cost for the retailer. The long-run average cost is modeled under different scenarios: with real-time tracking information, with lagged tracking information, with no tracking information and with historical information on lead times for past orders. Under optimal myopic ordering policies, it is shown that the long-run average cost for the retailer increases when the shipment tracking information is lagged. Numerical examples are used to demonstrate the savings in long-run average cost with real-time tracking information. [Supplementary materials are available for this article. Go to the publisher's online edition of IIE Transactions for the following free supplemental resource: Appendix]

부산 북항에서 VTS 시스템에 의한 출입항 선박의 접이안 작업과정의 실시간 모니터링

The process of berthing/deberthing operations for entering/leaving vessels in Busan northern harbor was analyzed and evaluated by using an integrated VTS(vessel traffic service) system installed in the ship training center of Pukyong National University, Busan, Korea. The integrated VTS system used in this study was consisted of ARPA radar, ECDIS(electronic chart display and information system), backup(recording) system, CCTV(closed-circuit television) camera system, gyro-compass, differential GPS receiver, anemometer, AIS(automatic identification system), VHF(very high frequency) communication system, etc. The network of these systems was designed to communicate with each other automatically and to exchange the critical information about the course, speed, position and intended routes of other traffic vessels in the navigational channel and Busan northern harbor. To evaluate quantitatively the overall dynamic situation such as maneuvering motions for target vessel and its tugboats while in transit to and from the berth structure inside a harbor, all traffic information in Busan northern harbor was automatically acquired, displayed, evaluated and recorded. The results obtained in this study suggest that the real-time tracking information of traffic vessels acquired by using an integrated VTS system can be used as a useful reference data in evaluating and analyzing exactly the dynamic situation such as the collision between ship and berth structure, in the process of berthing/deberthing operations for entering/leaving vessels in the confined waters and harbor.