Searching Similar Trajectories in Real Time: An Effectiveness and Efficiency Study

2012 ◽  
pp. 90-102 ◽  
Author(s):  
Yuchi Ma ◽  
Chunyan Qu ◽  
Tingting Liu ◽  
Ning Yang ◽  
Changjie Tang
Keyword(s):  
Real Time ◽  
Effectiveness And Efficiency

Real-Time System for Sending Data from Three Clients to One Server with MATLAB

2015 ◽  
Vol 2 (1) ◽  
pp. 35-41
Author(s):  
Rivan Risdaryanto ◽  
Houtman P. Siregar ◽  
Dedy Loebis
Keyword(s):  
Information System ◽  
Real Time ◽  
Time System ◽  
Real Time System ◽  
The Real ◽  
Performance Time ◽  
Data Process ◽  
Effectiveness And Efficiency

The real-time system is now used on many fields, such as telecommunication, military, information system, evenmedical to get information quickly, on time and accurate. Needless to say, a real-time system will always considerthe performance time. In our application, we define the time target/deadline, so that the system should execute thewhole tasks under predefined deadline. However, if the system failed to finish the tasks, it will lead to fatal failure.In other words, if the system cannot be executed on time, it will affect the subsequent tasks. In this paper, wepropose a real-time system for sending data to find effectiveness and efficiency. Sending data process will beconstructed in MATLAB and sending data process has a time target as when data will send.

scholarly journals Pengembangan Sistem Informasi Manajemen Skrining Case Manager RSUP Persahabatan Jakarta

2019 ◽  
Vol 12 (2) ◽  
Author(s):  
Muhammad Chandra ◽  
Enie Novieastari ◽  
Sri Purwaningsih
Keyword(s):  
Information System ◽  
Real Time ◽  
Management Information System ◽  
Case Manager ◽  
Case Managers ◽  
Model Management ◽  
Management Information ◽  
Real Time System ◽  
Web Based ◽  
Effectiveness And Efficiency

AbstrakPendampingan pelayanan oleh case manager diawali dengan skrining pasien, namun metode skrining dan pelaporan hasil skrining secara manual cendrung kurang efektif dan kurang efisien. Inovasi ini bertujauan untuk mengembangkan sistem skrining yang lebih efektif dan efisien melalui yaitu skrining berbasis sistem informasi manajemen. Metode yang digunakan adalah prototyping model. Hasil inovasi ini adalah sebuah prototipe sistem informasi manajemen skrining case manager berbasis web dan android. Aplikasi ini digunakan oleh perawat yang melakukan skrining dan case manager yang melakukan verifikasi hasil skrining. Dengan sistem update yang real time, aplikasi ini sangat bermanfaat untuk meningkatkan efektifitas dan efisiensi skrining dan pelaporan hasil skrining case manager di rumah sakit. Rumah sakit diharapkan dapat menerapkan sistem ini untuk menigkatkan efektifitas dan efisiensi layanan khususnya case manager.Kata kunci: case manager, prototyping model, sistem informasi manajemen Development of Case Manager Screening Management Information System at RSUP Persahabatan Jakarta AbstractService assistance by the case manager begins with screening patients, but the method of screening and reporting the results of manual screening tends to be less effective and less efficient. This innovation aims to develop a more effective and efficient screening system through management information system-based screening. The method used is the prototyping model. This result is a prototype of a web-based and android case manager screening management information system. This application is used by nurses who conduct screening and case managers who verify the results of screening. With real time system updates, this application is very useful for improving the effectiveness and efficiency of screening and reporting the results of case manager screening at the hospital. Hospitals are expected to implement this system to improve the effectiveness and efficiency of special case manager services.Keywords  : case manager, prototyping model, management information system

Real-Time 3D Hand Gesture Detection from Depth Images

2013 ◽  
Vol 756-759 ◽  
pp. 4138-4142 ◽  
Author(s):  
Lin Song ◽  
Rui Min Hu ◽  
Hua Zhang ◽  
Yu Lian Xiao ◽  
Li Yu Gong
Keyword(s):  
Real Time ◽  
Time Algorithm ◽  
State Machine ◽  
Microsoft Kinect ◽  
Hand Gesture ◽  
Hand Gestures ◽  
Depth Images ◽  
Frame Difference ◽  
Effectiveness And Efficiency ◽  
Hand Gesture Detection

In this paper, we describe an real-time algorithm to detect 3D hand gestures from depth images. Firstly, we detect moving regions by frame difference; then, regions are refined by removing small regions and boundary regions; finally, foremost region is selected and its trajectories are classified using an automatic state machine. Experiments on Microsoft Kinect for Xbox captured sequences show the effectiveness and efficiency of our system.

A Fuzzy Clustering-Based X-Ray Computed Tomography Simulation under Incomplete Measurements

2013 ◽  
Vol 748 ◽  
pp. 651-654
Author(s):  
Shi Hong Yue ◽  
Xiu Juan Bao ◽  
Jin Xin Zhang
Keyword(s):  
Computed Tomography ◽  
Image Reconstruction ◽  
Real Time ◽  
Fuzzy Clustering ◽  
Time Complexity ◽  
Clustering Algorithm ◽  
X Ray ◽  
Fuzzy Clustering Algorithm ◽  
X Ray Computed ◽  
Effectiveness And Efficiency

The existing x-ray computed tomography algorithm simulation assume the complete measurements of the investigated objectives to be available, but this is not true in most applications. To overcome the problem, we creatively propose a method of image reconstruction based on fuzzy clustering algorithm under limited measurements. Different from the existing algorithms, we map all measurements into a set of vectors and cluster all vectors for the image reconstruction. The proposed algorithm aims to be easily realized, lower time complexity, and applicable in a real-time manner in case of limited measurements of the investigated objectives. Experiments demonstrate the effectiveness and efficiency of the proposed algorithm.

scholarly journals Two- and Three-Dimensional Fast Intrawall Imaging with Microwave Tomographic Algorithm

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Wenji Zhang ◽  
Ahmad Hoorfar ◽  
Christopher Thajudeen
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Real Time ◽  
Three Dimensional ◽  
Inverse Fast Fourier Transform ◽  
Real Time Processing ◽  
Time Processing ◽  
Imaging Algorithm ◽  
Reflection Model ◽  
Effectiveness And Efficiency

A fast and efficient microwave tomographic algorithm is proposed for 2-D and 3-D real-time intrawall imaging. The exploding reflection model is utilized to simplify the imaging formulation, and the half-space Green’s function is expanded in the spectral domain to facilitate the easy implementation of the imaging algorithm with the fast Fourier transform (FFT) and inverse fast Fourier transform (IFFT). The linearization of the inversion scheme and employment of FFT/IFFT in the imaging formula make the algorithm suitable for various applications pertaining to the inspection of a large probed region and allow real-time processing. Representative numerical and experimental results are presented to show the effectiveness and efficiency of the proposed algorithm for real-time intrawall characterization.

scholarly journals MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning

2021 ◽  
Author(s):  
Chen Liu ◽  
Bo Li ◽  
Jun Zhao ◽  
Ming Su ◽  
Xu-Dong Liu
Keyword(s):  
Real Time ◽  
Real World ◽  
Large Scale ◽  
State Of The Art ◽  
Evolutionary Patterns ◽  
Graph Learning ◽  
Fine Grained ◽  
Variant Detection ◽  
Effectiveness And Efficiency ◽  
The Cost

Detecting the newly emerging malware variants in real time is crucial for mitigating cyber risks and proactively blocking intrusions. In this paper, we propose MG-DVD, a novel detection framework based on dynamic heterogeneous graph learning, to detect malware variants in real time. Particularly, MG-DVD first models the fine-grained execution event streams of malware variants into dynamic heterogeneous graphs and investigates real-world meta-graphs between malware objects, which can effectively characterize more discriminative malicious evolutionary patterns between malware and their variants. Then, MG-DVD presents two dynamic walk-based heterogeneous graph learning methods to learn more comprehensive representations of malware variants, which significantly reduces the cost of the entire graph retraining. As a result, MG-DVD is equipped with the ability to detect malware variants in real time, and it presents better interpretability by introducing meaningful meta-graphs. Comprehensive experiments on large-scale samples prove that our proposed MG-DVD outperforms state-of-the-art methods in detecting malware variants in terms of effectiveness and efficiency.

Microbloggers’ interest inference using a subgraph stream

2021 ◽  
Vol 25 (2) ◽  
pp. 397-417
Author(s):  
Xiaoling Huang ◽  
Hao Wang ◽  
Lei Li ◽  
Yi Zhu ◽  
Chengxiang Hu
Keyword(s):  
Real Time ◽  
Large Scale ◽  
State Of The Art ◽  
Dynamic Change ◽  
Massive Data ◽  
User Interest ◽  
Large Dataset ◽  
Topic Extraction ◽  
Sina Weibo ◽  
Effectiveness And Efficiency

Inferring user interest over large-scale microblogs have attracted much attention in recent years. However, the emergence of the massive data, dynamic change of information and persistence of microblogs pose challenges to interest inference. Most of the existing approaches rarely take into account the combination of these microbloggers’ characteristics within the model, which may incur information loss with nontrivial magnitude in real-time extraction of user interest and massive social data processing. To address these problems, in this paper, we propose a novel User-Networked Interest Topic Extraction in the form of Subgraph Stream (UNITE_SS) for microbloggers’ interest inference. To be specific, we develop several strategies for the construction of subgraph stream to select the better strategy for user interest inference. Moreover, the information of microblogs in each subgraph is utilized to obtain a real-time and effective interest for microbloggers. The experimental evaluation on a large dataset from Sina Weibo, one of the most popular microblogs in China, demonstrates that the proposed approach outperforms the state-of-the-art baselines in terms of precision, mean reciprocal rank (MRR) as well as runtime from the effectiveness and efficiency perspectives.

scholarly journals Effectiveness and efficiency of teleimaging in the transplantation process: a mixed method protocol

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Kevin Zarca ◽  
Jean-Claude K. Dupont ◽  
Lorène Jacoud ◽  
Julie Bulsei ◽  
Olivier Huot ◽  
...  
Keyword(s):  
Real Time ◽  
Technology Use ◽  
Transportation Cost ◽  
Preference Elicitation ◽  
National Registry ◽  
Imaging Data ◽  
Elicitation Study ◽  
Liver And Kidney ◽  
Real Time Visualization ◽  
Effectiveness And Efficiency

Abstract Background The transplantation process usually takes place without transplant teams being able to use imaging data to assess graft quality. The decision of whether to go get the graft or not is therefore limited and suboptimal. “Cristal images” is a teleimaging project allowing real-time visualization of images of the organs of the donor. The objective of our study is to assess whether the use of a secure teleimaging can improve the effectiveness and efficiency of the procurement and transplantation processes. Methods We will use the exhaustive national registry of organ allocation and transplantation, and compare outcomes before the deployment of “Cristal images” (years 2015–2016) and after it becomes operational (years 2018–2019) for heart, lung, liver and kidney transplant in a before-after study, combined with a preference elicitation study. The primary endpoint will be the number of successful organ transplantations. Secondary endpoints will be related to the efficiency of the transplant process (decision making, transportation, cost) and a preference elicitation study will determine the relative preferences of transplant teams towards few “Cristal images”’ components or potential developments, which are yet to be determined through a qualitative analysis based on interviews with professionals. Discussion This study will provide stakeholders data on the efficiency of real-time visualization for transplant teams and identify the levers likely to influence the technology use among these teams. Trial registration clinicaltrials.gov: NCT03201224, 13 June 2017, retrospectively registered.

Real-Time Knee Adduction Moment Feedback for Gait Retraining Through Visual and Tactile Displays

2011 ◽  
Vol 133 (4) ◽  
Author(s):  
Jason W. Wheeler ◽  
Pete B. Shull ◽  
Thor F. Besier
Keyword(s):  
Real Time ◽  
Tactile Feedback ◽  
Knee Adduction Moment ◽  
Gait Retraining ◽  
Gait Patterns ◽  
Tactile Displays ◽  
Subject Specific ◽  
Osteoarthritis Progression ◽  
Effectiveness And Efficiency ◽  
External Knee Adduction Moment

The external knee adduction moment (KAM) measured during gait is an indicator of tibiofemoral joint osteoarthritis progression and various strategies have been proposed to lower it. Gait retraining has been shown to be an effective, noninvasive approach for lowering the KAM. We present a new gait retraining approach in which the KAM is fed back to subjects in real-time during ambulation. A study was conducted in which 16 healthy subjects learned to alter gait patterns to lower the KAM through visual or tactile (vibration) feedback. Participants converged on a comfortable gait in just a few minutes by using the feedback to iterate on various kinematic modifications. All subjects adopted altered gait patterns with lower KAM compared with normal ambulation (average reduction of 20.7%). Tactile and visual feedbacks were equally effective for real-time training, although subjects using tactile feedback took longer to converge on an acceptable gait. This study shows that real-time feedback of the KAM can greatly increase the effectiveness and efficiency of subject-specific gait retraining compared with conventional methods.

A Novel Illegal Logging Monitoring System Based on WSN

2012 ◽  
Vol 518-523 ◽  
pp. 1417-1421 ◽  
Author(s):  
Shu Feng Wang ◽  
Kai Yi Wang ◽  
Xin Jiang Wang ◽  
Zhong Qiang Liu
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Lower Cost ◽  
Illegal Logging ◽  
Test Bed ◽  
Monitoring Methods ◽  
Target Node ◽  
Lower Power ◽  
Effectiveness And Efficiency ◽  
Node Displacement

Illegal logging is a pervasive problem due to lack of effective monitoring methods. A novel wireless method for illegal logging is proposed which leverage the RSSI ranging and communication of WSN and GPRS. The node displacement incurred by tree’s falling down can be detected in time. Furthermore, failure of target node can be judged with its neighbor cooperation. The effectiveness and efficiency of this system was verified in our test-bed. Thus this solution has several characteristics such as lower power, remote, lower cost, real-time and non-intrusive，which are very appropriate to protect rare trees continuously.

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