Review Article | 30-March-2018
The objective of this study was to evaluate the diagnostic accuracy of sonoelastography in patients of primary and secondary health care settings. Google scholar, PubMed, Medline, Medscape, Wikipedia and NCBI were searched in October 2017 for all original studies and review articles to identify the relevant material. Two reviewers independently selected articles for evaluation of the diagnostic accuracy of sonoelastography in different diseases based on titles and abstracts retrieved by the
Iqra Manzoor,
Raham Bacha,
Syed Amir Gilani
Journal of Ultrasonography, Volume 18 , ISSUE 72, 29–36
Research Article | 15-February-2020
a specially designed method to achieve high accuracy even when a much smaller number of excitation cycles, than the reported scheme, are employed to complete the conversion. A prototype CDC has been developed and tested. In comparison with an existing CDC, the new CDC achieved a substantial reduction (by a factor of 4000) in the number of excitation cycles during integration period, resulting in an improved update rate. Worst case error observed from the prototype CDC was less than 0.24%.
Prashanth Vooka,
Boby George
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–6
research-article | 15-June-2020
variables were expressed as percentages and frequencies. Ultrasonographic diagnoses were compared to the final surgical and/or histopathologic diagnoses to calculate the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of ultrasound. Statistical significance was set at p ≤0.05.
Results
Eighty cases of obstructive jaundice were included in this study. The age range was 16 to 82 years, with a mean of 51.06 ± 14.95 years. The peak age group was the sixth decade
Olufunke O. Fadahunsi,
Bolanle O. Ibitoye,
Adewale O. Adisa,
Olusegun I. Alatise,
Victor A. Adetiloye,
Bukunmi Michael Idowu
Journal of Ultrasonography, Volume 20 , ISSUE 81, e100–e105
Article | 30-November-2018
traffic belongs to the application by matching the signature of the unknown traffic. In recent years, the proportion of network traffic transmitted by encrypted text is increasing. DPI technology has been powerless for this part of the traffic. At present, the method of network traffic recognition based on machine learning [9] shows a higher accuracy.
Machine learning is an important tool for the study of network traffic identification. Dong S and others described the current popular machine learning
Wang Zhongsheng,
Gao Jiaqiong
International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 3, 53–60
Article | 06-July-2017
Dorota Pekasiewicz
Statistics in Transition New Series, Volume 17 , ISSUE 4, 737–748
Article | 01-June-2016
The accuracy of supercritical CO2 sorption determination on coal is important for estimating the CO2 sequestration potential of coal bed using CO2 injection into deep unminable coal seams. Based on the CO2 density change and CO2 sorption data of three selected coal samples, this paper investigates the effect of pressure-sensor accuracy on measurements of CO2 adsorption isotherms on coals with manometric equipment. The characteristic density-change of CO2 in proper pressure range determines a
Jiang Renxia,
Yu Hongguan,
Wang Li,
Chen Lihui
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 468–490
Article | 01-December-2012
Energy management is one of the most important tasks of the electric vehicles (EV) and is totally different with the management in the traditional internal combustion vehicles (ICV). To implement a pleasing management, the system should know the working current and terminal voltage of the traction battery systems very accurately. This paper presents a design of a smart current and voltage acquisition system with high accuracy for EV applications. The detailed structure and components, the
Dai Haifeng,
Zhang Xiaolong
International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 4, 824–842
Review | 31-January-2019
Abstract
Background: Ultrasonography is widely utilized by emergency physicians and radiologists to diagnose various orthopaedic diseases, including fractures. We aim to derive a definitive estimate of the diagnostic accuracy of ultrasonography in clinically suspected scaphoid fractures. Methods: We undertook a systematic review and meta-analysis of included diagnostic cohort studies that discussed the use of ultrasonography in the diagnosis of occult scaphoid fractures. We searched the
Mohammed Ali,
Mujtaba Ali,
Ahmed Mohamed,
Syed Mannan,
Farshid Fallahi
Journal of Ultrasonography, Volume 18 , ISSUE 75, 325–331
Article | 01-June-2015
The quality of a semantic annotation is typically measured with its averaged class-accuracy value, whose computation requires scarce ground-truth annotations. We observe that humans accumulate knowledge through their vision and believe that the quality of a semantic annotation is proportionally related to its compatibility with the vision-based knowledge. We propose a knowledge-compatibility benchmarker, whose backbone is a regression machine. It takes as input a semantic annotation and the
Vektor Dewanto,
Aprinaldi,
Zulfikar Ian,
Wisnu Jatmiko
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1284–1312
Article | 06-July-2017
In this study the benefits arising from the use of the Bayesian approach to predictive modelling will be outlined and exemplified by a linear regression model and a logistic regression model. The impact of informative and non-informative prior on model accuracy will be examined and compared. The data from the Central Statistical Office of Poland describing unemployment in individual districts in Poland will be used. Markov Chain Monte Carlo methods (MCMC) will be employed in modelling.
Wioletta Grzenda
Statistics in Transition New Series, Volume 17 , ISSUE 4, 763–780
Article | 01-June-2016
because it measures the scatter of the directional elements in an image. In fact a high entropy value is related to areas with a strong contrast in grayscale, and abnormalities in the image are present as a set of points with more lighter than the dark background. The results have shown, by means of an accuracy true table, rendering a comparison between clinicians’diagnosis and CHT detection, it is possible to indicate, with a better accuracy, potential areas of undetermined significance pathologies
A. Lay-Ekuakille,
P. Vergallo,
I. Jabłoński,
S. Casciaro,
F. Conversano
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 1156–1176
Article | 02-November-2017
We analyze the performance of a novel human tracking system, which uses the electric near field to sense human presence. The positioning accuracy with moving targets is measured using raw observations, observation centroids and Kalman filtered centroids. In addition to this, the multi-target discrimination performance is studied with two people and a Rao-Blackwellized Monte Carlo data association algorithm. A reel-based triangulation system is used as the reference positioning system. The mean
H. Rimminen,
J. Lindström,
R. Sepponen
International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 1, 156–175
Article | 01-September-2014
A novel fuzzy controller is proposed here to improve the positioning precision of servo system of CNC lathes. To utilize the high–accuracy potential of the VUD fuzzy controller, a grating–ruler was used as a sensor to measure the displacement of work pieces. Designing the VUD fuzzy controller involved five steps, i.e., setting up universes of discourse and parameters, selecting membership functions, designing a differential circuit, constructing a base of fuzzy rules, and defining a set of
Zuqiang Long,
Yan Yuan,
Yuebing Xu,
Shehui Du
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 3, 1114–1133
Research Article | 30-March-2017
approaches, as well as costs associated with additional shunting work. With the help of simulation modeling the dependence was obtained, describing the impact of trains’ arrival forecasting error and processed car volumes on reducing operating costs of the marshalling yards through the trains’ breaking-up order control. The studies enable us to establish the requirements for the accuracy of information support of operational planning tasks, which is necessary to achieve the desired economic effect of the
Oleksandr BARDAS,
Ihor SKOVRON,
Yevhen DEMCHENKO,
Andrii DOROSH
Transport Problems, Volume 12 , ISSUE 1, 151–158
Research Article | 02-February-2017
in real time to enable a reliable evaluation of collision risks by the officers of the watch. Until today in discussions about modelling and utilization of ship domains, it has been mostly unnoticed that the performance of vessel’s position (P), navigation (N), and timing data (T) ultimately determines the accuracy and integrity of indicated ship domain. This paper addresses this question, and starts with a comprehensive analysis of AIS data to prove the violation of ship domains in the maritime
Paweł BANYŚ,
Evelin ENGLER,
Frank HEYMANN
Transport Problems, Volume 11 , ISSUE 4, 151–165
Research paper | 27-December-2017
Yeng Weng Leong,
Hiroaki Seki,
Yoshitsugu Kamiya,
Masatoshi Hikizu
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 2, 658–673
Research Article | 01-September-2011
M. F. Rahmat,
T. G. Ling,
A. R. Husain,
K. Jusoff
International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 3, 440–453
Article | 01-June-2016
Ciaran Doyle,
Dr Daniel Riordan,
Dr Joseph Walsh
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 509–525
Article | 01-December-2016
Sunita Sinha,
Nirupama Mandal
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 2204–2218
Sampling Methods | 20-November-2017
The mean squared error reflects only the average prediction accuracy while the distribution of squared prediction error is positively skewed. Hence, assessing or comparing accuracy based on the MSE (which is the mean of squared errors) is insufficient and even inadequate because we should be interested not only in the average but in the whole distribution of prediction errors. This is the reason why we propose to use different than MSE measures of prediction accuracy in small area estimation
Tomasz Żądło
Statistics in Transition New Series, Volume 18 , ISSUE 3, 413–432
Research Article | 13-December-2017
Erin-Ee-Lin Lau,
Boon-Giin Lee,
Seung-Chul Lee,
Wan-Young Chung
International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 2, 534–548
Research Article | 01-September-2017
To evaluate multi-target video tracking results, one needs to quantify the accuracy of the estimated target-size and the Cardinality error as the well as measure the frequency of occurrence of ID changes. By surveying existing multi-target tracking performance scores and, after discussing their limitations, the work proposes three parameter-independent measures for evaluating multi target video tracking. The measures consider target-size variations, combine accuracy and cardinality errors
M Anto Bennet,
R Srinath,
D Abirami,
S Thilagavathi,
S Soundarya,
R Yuvarani
International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 5, 25–45
Article | 07-May-2018
In order to improve the accuracy of the proposed algorithm in collaborative filtering recommendation system, an Improved Pearson collaborative filtering (IP-CF) algorithm is proposed in this paper. The algorithm uses the user portrait, item characteristics and data of user behavior to compute the baseline predictors model. Instead of the traditional algorithm’s similarity calculation, the prediction model is used to improve the accuracy of the recommendation algorithm. Experimental results on
Yang Ju,
Liu Bailin,
Zhixiang Zhao
International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 1, 97–100
Research Article | 01-March-2017
Sadik Kamel Gharghan,
Rosdiadee Nordin,
Mahamod Ismail
International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 1, 124–145
Research paper | 20-February-2012
This paper adopts ordinary CCD cameras and IR filters to constitute IR cameras for a marker-based quadri-ocular tracking system. However, the IR filters will affect the accuracy of the tracking system. Therefore, this paper analyses the refraction of IR filters and finds IR filters will bring about the biggish radial distortion on imaging process. And then, this paper directly uses Zhang’s technique to calibrate the parameters of IR cameras in infrared environment by adjusting the imaging
Haibin Wang,
Qing He,
Guan Guan,
Bin Leng,
Dewen Zeng
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 259–277
Article | 01-September-2014
Overlapping white blood cell identification on microscopic blood cell images is proposed for increasing the accuracy of white blood cell segmentation and counting. The accurate identification of overlapping cells can increase the accuracy of cell counting system for diagnosing diseases. The overlapping cells have different characteristic such as area and shape with a single cell of microscopic cell images therefore the overlapping cell identification based on geometric feature is preferred. As
Chastine Fatichah,
Diana Purwitasari,
Victor Hariadi,
Faried Effendy
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 3, 1271–1286
Article | 01-March-2015
As stereo matching methods are widely used in computer vision and stereo reconstruction, from the perspective of improving the matching accuracy, this paper focuses on the global optimization algorithm. An improved stereo matching method based on 8- neighbor Belief Propagation method is proposed in this paper, by involving more pixels into information transmission, our method improves the accuracy of stereo matching. The experimental results verify the efficiency and reliability of our method.
Qian. Zhang,
Shaomin Li,
Y. Zhang,
P. Wang,
JF. Huang
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 1, 464–479
Article | 01-June-2015
Traditional X-ray machine image recognition methods for airport security system have difficulties in recognition and are prone to result in recognition errors due to the impact of placing angle, density and volume of detected objects. This paper accurately describes the image features of X-ray machine visual image, carries out SVM classification after a visual dictionary is formed and enhances the accuracy of image discrimination by means of robust acceleration. The experimental results
Ning Zhang
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1313–1332
Research Article | 20-February-2013
In order to reduce the location estimation error in Wireless Sensor Network(WSN). A localization algorithm is proposed combining adaptive estimation, PI-learning and spring-relaxation techniques for wireless sensor networks in this paper. Our proposed method takes the advantages of the spring-relaxation technique, thus it inherits its simplicity. The overall accuracy of the location estimations is improved by introducing adaptive estimation and PI-learning. Moreover, it requires only a few
Li Haiyan,
Hu Yun-an,
Zhu Min
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 317–332
Article | 08-April-2018
In this paper, a new method of clock disciplining based on GPS/BD dual-mode receiver is proposed, which can improve the estimation accuracy of clock bias by fusing the GPS clock bias data and the BD clock bias data. In addition, the use of unbiased FIR filtering algorithm to filter the clock bias data to improve the accuracy of the clock filter. According to the experimental results, the time synchronization precision of the proposed method is 50ns, which is better than that based on single
YU Fan,
MA Xing,
Wang Zhongsheng
International Journal of Advanced Network, Monitoring and Controls, Volume 1 , ISSUE 2, 89–95
Article | 30-November-2018
segment the central area of palmprint, reduce unnecessary noise interference, reduce the complexity of subsequent matching algorithm, achieve azimuth-independent matching, ensure the accuracy and effectiveness of the recognition system, and in palmprint identification system. It has very important significance.
After extracting the corner points, we set up the coordinate system according to the following steps: make the line L1 = K1K2, draw an axis perpendicular to the line L1 from K3, and we set it
Hejing Wu
International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 1, 72–76
Research Article | 15-February-2020
In recent times, number of researchers have investigated vehicle tracking applications by fusing the measurements done by accelerometers, as part of inertial navigation system (INS), and GPS (Global Positioning System). However, the sensors in recreational devices like mobile phone have limitations in measurement accuracy and reliability. Usually, sudden changes in vehicle speed are not always captured well by GPS. Accelerometers, on the other hand, suffer from multiple noise sources. In this
Arijit Chowdhury,
Tapas Chakravarty,
P. Balamuralidhar
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–6
Research Article | 12-December-2017
Location awareness is important in health care. One way of generating this is a low-frequency radio frequency identification (RFID) location system that has been developed. The system tracks RFID tags with a quad antenna matrix that is placed under the floor surface. The tag can be also used to receive alarms and send acknowledgements via a ZigBee network. This article discusses the requirements of this kind of a tag, its structure, and its location accuracy. The demonstrated RFID system can
A. Ropponen,
M. Linnavuo,
R. Sepponen
International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 1, 75–93
research-article | 23-August-2019
interpolation error of the proposed equation is compared with the well-known Steinhart-Hart equation. Table 1 shows the comparison of the thermistor linearization schemes based on accuracy, complexity, and range.
Table 1.
Analog schemes of linearization of thermistors, thermocouples, and giant magneto resistive sensors (GMR).
Method
Range
Accuracy (%)
Complexity
(Nenova and Nenov, 2009) Timer-based oscillator circuit
0–120
±1
Low but SPR has low range and low sensitivity
(Stanković and
Tarikul Islam,
S. C. Mukhopadhyay
International Journal on Smart Sensing and Intelligent Systems
, Volume 12 , ISSUE 1, 1–21
Research Article | 01-September-2017
Initial alignment in the presence of large misalignment angles is a critical issue in strapdown inertial navigation systems. The large initial misalignment angle adversely affects the accuracy and rapidness of the alignment process. In this paper a novel robust alignment approach is proposed based on a generalized proportional-integral-derivative filter. The proposed alignment approach has some significant advantages compared to the standard Kalman filter based alignment method. This method
Mohammad Ali Rahgoshay,
Paknoosh Karimaghaie,
Fereidoon Shabaninia
International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 3, 613–629
Article | 01-December-2016
This paper presents a new approach to feature selection and classifcation based on support vector machine and hybrid artificial bee colony. The approach consists of two stages. At the first stage, this paper presented a hybrid artificial bee colony-based classifier model that combines artificial bee colony to improve classification accuracy with the most superior model parameter and features were selected from the original feature set. The classification accuracy and the feature subset provided
Jie Li,
Qiuwen Zhang,
Zhang Yongzhi,
Li Chang,
Xiao Jian
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 1876–
Article | 09-April-2018
Levenberg-Marquardt(abbr. L-M) method based iterative square root cubature Kalman filter (ISRCKFLM) is proposed to improve the low state estimation accuracy of nonlinear state estimation due to large initial estimation error and nonlinearity of measurement equation. The measurement update of square root cubature Kalman filter (SRCKF) is transformed to the problem of nonlinear least square error, then we use L-M method to solve it and obtain the optimal state estimation and covariance, so the
Jing Mu,
Changyuan Wang
International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 2, 98–106
Article | 01-March-2016
The attitude angles of UAV, as the input parameters of the target localization process, influence the accuracy of geo-targeting. In order to improve the accuracy of target localization, this paper compensates the attitude angle errors of the UAV based on learning prediction compensation. Firstly, considering the airborne equipment and the metadata provided by the UAV, we combine rear intersection with GPS/INS to calculate the error of each platform and aircraft attitude angle. Then the error
Jialiang LIU,
Wenrui Ding,
Hongguang Li
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 1, 169–190
Research Article | 13-December-2017
This paper presents the design and the implementation of a standard auto-calibration system, to correct measurement chain and ensure its accuracy. The adopted solution consists in designing a reconfigurable instrumentation based on the use of a programmable analog circuit (FPAA), allowing the automation of various test and adjustment operations. The measurement chain transfer curve is periodically corrected using the progressive polynomial calibration method, ensuring systematic correction of
M. NADI,
C. MARGO,
M. KOUIDER,
J. PRADO,
D. KOURTICHE
International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 1, 21–33
Article | 14-October-2020
. The methods used involve linear logistic regression, linear discriminant analysis (LDA), K-Nearest Neighbor (KNN), support vector machine (SVM), Naïve Bayes (NB) and other methods. The definition and advantages and disadvantages of the act are briefly explained. Finally, the five methods are compared and analyzed according to the evaluation indicators such as the accuracy rate, recall rate, F1-score, and AUC area commonly used in machine learning.
II.
RELATED WORK
A.
Principal component
Changyuan Wang,
Guang Li,
Pengxiang Xue,
Qiyou Wu
International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 3, 23–29
Research Article | 15-February-2020
could achieve nearly 100% accuracy. We could also classify between climbing up or down the stairs with 100% accuracy. All these could be accomplished by a single or a pair of sensors. It is also revealed that the optimum location of the sensor/s for the highest accuracy varies from person to person.
Goutam Chakraborty,
Tetsuhiro Dendou
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–6
Article | 07-May-2018
The effective distinction between normal email and spam, so as to maximize the possible of filtering spam has become a research hotspot currently. Naive bayes algorithm is a kind of frequently-used email classification and it is a statistical-based classification algorithm. It assumes that the attributes are independent of each other when given the target value. This hypothesis is apparently impossible in the email classification, so the accuracy of email classification based on naive bayes
Wang Yawen,
Yu Fan,
Wei Yanxi
International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 2, 17–21
Research Article | 01-June-2011
In many industries where flow parameters measurement is essential to control manufacturing process, the use of a reliable, cost effective and high accuracy instrument is an important issue. Appropriate measurement method and design leads to improvement of pneumatic conveyors operation and process efficiency. This paper present an instrumentation design based on passive charge detection using a single electrostatic sensor. Two different sensor electrodes are applied to show the flexibility of
Mohd Fua,
ad Rahmat,
Teimour Tajdari
International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 2, 313–324
Research Article | 10-April-2013
Fuzzy controllers with variable universe of discourse (VUD) have been applied in many fields of intelligent controlling because of their high-accuracy performance. This paper provides a lookup table method to design backing-up fuzzy controllers based on VUD. By setting a set of random start points, input–output data pairs are obtained using test-driving method. One data pair defines one fuzzy rule and also assigns the strength of every fuzzy rule. Conflicting fuzzy rule groups are integrated
Zuqiang Long,
Wen Long,
Yan Yuan,
Xiaobo Yi
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 2, 505–522
Article | 01-March-2015
This paper proposed a system for detecting and approximating of a fetus in an ultrasound image. The fetal organs in the ultrasound image are detected using Multi Boundary Classifier based Adaboost.MH. The results of the fetal detection is then approximated Randomized Hough Transform and the whole showed a mean accuracy of 95.80%. The mean of the Hamming Error 0.019 and the Kappa coefficient value reaches 0.890.The proposed method has the best performancefor fetal organ detection. This is proven
M. Anwar Ma’sum,
Wisnu Jatmiko,
Budi Wiweko,
Anom Bowolaksono
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 1, 720–748
Article | 01-September-2014
Node localization is one of the key technologies of wireless sensor networks (WSN). Due to the indoor environment requires a high positioning accuracy, an improved algorithm based on RSSI is put forward. In terms of RSSI ranging, the error correction coefficient received from self-correcting locator beacon nodes, and then had been applied to distance solving from unknown nodes to the beacon nodes. In the choice of weights, the algorithm uses inverse distance and replaces the method of
En-jie Ding,
Xin Qiao,
Fei Chang
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 3, 1156–1173
Article | 02-April-2020
learn features from data. In 2012, in the ImageNet image classification competition, Alex Krizhevsky’s team proposed the deep convolutional neural network AlexNet for the first time. AlexNet won the champion with an accuracy rate of 15.3% higher than the second place, which made people have a further understanding of the application of convolutional neural network in visual tasks. Girshick R proposed the regional convolutional neural network (RCNN) model, which USES the Selective Search method to
He Li,
Yubian Wang
International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 1, 44–53
Article | 03-November-2017
flexibility in the motion dynamics of the particle in the search space through variation in perception radius, number of sampling points per directions, and the number of sampling directions. The APPSO algorithm has been suitably modified to suit to the slight changes in the maximum power point at around the maximum power point. The proposed technique uses only one pair of sensors to control multiple PV arrays. This results in lower cost, higher accuracy and also the algorithm is simple. The
Shubhajit Roy Chowdhury,
Dipankar Mukherjee,
Hiranmay Saha
International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 4, 661–675
Research Article | 13-December-2017
based event detection and video sensor based event detection helped to increase the number of different types of actions that can be detected within a smart environment. Video sensors detected the actions at 94.44% accuracy while the audio sensors detected the actions at 83.35%. In addition to that the video based fall detection accuracy was 93.3%. Currently we are working in real life data capture and analysis using multi-sensor integration
Liyanage C De Silva
International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 1, 220–245
Article | 07-May-2018
, database and ETL operation, which can calculate a set of complete recommendation system from user operation end to server and data calculation. In order to improve the accuracy of the recommendation algorithm, this paper introduces k-means clustering algorithm to improve the recommendation algorithm based on user-based collaborative filtering.The experimental results show that the accuracy of the proposed algorithm has been significantly improved after the introduction of k-means.
Zhao Yufeng,
Li Xinwei
International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 2, 126–132
Article | 01-March-2016
To improve the accuracy of binocular 3D image reconstruction, the grid-pattern structure lines are printed on the detected objects and the grid lines intersection points are adopted as feature points and primitives in matching process. In this paper, a novel method for detecting the intersection points of the grid lines based on image segmentation and ridge line fitting is proposed. Firstly, the set of line segments on the border of the grid lines are extracted using the Canny edge detector and
L. M. Yang,
A. H. Zhang,
D. M. Lin,
L. Zhu
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 1, 256–273
Research Article | 12-December-2017
possible to reduce the computational complexity of the algorithm without compromising the processing accuracy. Both the accuracy and the limitations resulting from the introduced simplifications have been verified based on several examples of both synthetic and real movie samples. The presented algorithm has been implemented using VirtexII-1000 FPGA to realize a digital stabilization system for the CMOS camera images. Experimental results fully confirm the efficiency of the presented algorithm when
Robert Piotrowski,
Stanislaw Szczepanski,
Slawomir Koziel
International Journal on Smart Sensing and Intelligent Systems, Volume 3 , ISSUE 2, 253–272
Article | 01-March-2015
The microwave detection technology has become an effective tool for monitoring highway traffic flow in China. The cross section traffic data collected provides models opportunity for travel time prediction. However, the sparseness of data somewhat constrains the prediction accuracy. To tackle this problem, the paper presents a highway travel time prediction algorithm based on pattern matching method. First, a pattern library is established by choosing traffic volume and speed as its certain
Jiandong Zhao,
Feifei Xu,
Wenhui Liu,
Jigen Bai,
Xiaoling Luo
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 1, 658–676
Research Article | 27-December-2017
In order to improve the measurement accuracy of three-dimensional (3D) scanning robot, a method of 3D scanning robot system error modeling and compensation based on particle swarm optimization radial basis function neural network (PSO-RBFNN) is proposed to achieve intelligent compensation of measurement error. The structure, calibration and error modeling process of 3D scanning robot system are mainly described. Cleverly using the iterative closest point (ICP) algorithm to construct
Jianhong Qi,
Jinda Cai
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 2, 837–855
Article | 01-December-2014
This paper studies some key technology of multifunctional sensor signal reconstruction. The multifunctional sensor signal reconstruction problem, presented a multifunctional sensor signal reconstruction method based on B spline and the extended Calman filter. The method of inverse model of the process was studied, gives a method to estimate signal reconstruction accuracy and computation. Genetic algorithm is proposed to balance the multifunctional sensor signal reconstruction accuracy and
Junjie Yang,
Wenxiang Chen,
Zhihe Fu,
Wei Wu,
Zhiping Xie
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 4, 1701–1716
Article | 07-May-2018
In order to expand the application range of the intelligent traffic management system, and to solve the problem that the license plate positioning accuracy is low in the changing of the scene. On the basis of the analysis of previous methods advantages and disadvantages, applying deep learning model orientation method is proposed. The image expressed as graph of graph theory. Based on the principle of minimum spanning tree preliminary separate target objects in image of vehicle. Combined with
Yaxin Zhao,
Li Zhao,
Ya Li
International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 1, 62–68
Article | 28-August-2018
The paper analyzes the possibility of using the energy signature method based on the linear regression to determine the seasonal energy demand for cooling and ventilation in the office building. The “extended” energy signature method (H-m method) was described and applied. In accordance with Standard (EN 15603) the estimation of energy consumption for cooling can be performed for a period shorter than the entire season, but data range must be appropriate to obtain the correct accuracy of the
Dorota BARTOSZ,
Aleksandra SPECJAŁ
Architecture, Civil Engineering, Environment, Volume 10 , ISSUE 2, 133–143
Article | 30-November-2018
neural network based on the deep learning framework PyTorch and achieved an accuracy of 92.32% on the SVHN dataset at a time of 6 hours and 17 minutes.
II.
RELATED WORK
A.
Network structure
The network used in this experiment is modified by LeNet-5 as shown in Figure 1. LeNet-5 appeared to solve the problem of recognition of handwritten characters. The data set used in the training process is the MNIST. The samples in the data set are single-channel grayscale images, and the street view dataset is
Haoqi Yang,
Hongge Yao
International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 3, 47–52
Research Article | 03-March-2021
parameter space, which can profoundly affect the accuracy of this test. To compensate for this deficiency, a mixture of chi-square distributions is applied. The resulting accuracy improvement allows for the omission of the Monte Carlo simulations used to implement the EACD VaR test in earlier studies, which dramatically improves the computational efficiency of the procedure. We demonstrate that the EACD approach to testing VaR has the potential to enhance statistical inference in most problematic cases
Marta Małecka
Statistics in Transition New Series, Volume 22 , ISSUE 1, 145–162
Report | 16-October-2019
. Replicates were performed on three separate testing sessions with three consecutive repetitions within each session, thus obtaining 486 test results. Accuracy was assessed by aggregate analysis of sensitivity, specificity, and area under the receiver operating characteristics curve (AUC). Reliability was estimated by a cross-classified mixed-effect logistic model. All reagents tested yielded optimal accuracy (100% for sensitivity and specificity, and 1.00 for AUC), except for anti-S, for which
Ugo Salvadori,
Roberto Melotti,
Daniela L'Altrella,
Massimo Daves,
Ahmad Al-Khaffaf,
Laura Milizia,
Rossana Putzulu,
Renata Filippi,
Aurelio Carolo,
Giuseppe Lippi,
Ivo Gentilini
Immunohematology, Volume 34 , ISSUE 4, 140–147
Research Article | 01-December-2017
the LIBSVM package. In this paper, Support Vector Machine (SVM) is evaluated as classifier with four different kernels namely linear kernel, polynomial kernel, radial basis function kernel and sigmoid kernel. Several datasets are being experimented to find out the performance of various kernels of SVM .By changing the value of ‘C’ and γ varying results are observed. Among these RBF kernel with a value of C = 1000 and gamma=0.75 got an excellent accuracy of 99.1509%.The SVM-RBF
S.V.S. Prasad,
T. Satya Savithri,
Iyyanki V. Murali Krishna
International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 4, 829–844
Research Article | 01-December-2017
the LIBSVM package. In this paper, Support Vector Machine (SVM) is evaluated as classifier with four different kernels namely linear kernel, polynomial kernel, radial basis function kernel and sigmoid kernel. Several datasets are being experimented to find out the performance of various kernels of SVM .By changing the value of ‘C’ and γ varying results are observed. Among these RBF kernel with a value of C = 1000 and gamma=0.75 got an excellent accuracy of 99.1509%.The SVM-RBF kernel gave an edge
S.V.S. Prasad,
T. Satya Savithri,
Iyyanki V. Murali Krishna
International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 4, 863–878
Article
Machine learning methods are increasingly being used to predict company bankruptcy. Comparative studies carried out on selected methods to determine their suitability for predicting company bankruptcy have demonstrated high levels of prediction accuracy for the extreme gradient boosting method in this area. This method is resistant to outliers and relieves the researcher from the burden of having to provide missing data. The aim of this study is to assess how the elimination of outliers from
Barbara Pawełek
Statistics in Transition New Series, Volume 20 , ISSUE 2, 155–171
research-article | 30-November-2018
. Feed forward networks can approximate any measurable function to the desired accuracy level (Chakrabarti and Jeyasurya, 2004; Zhou et al., 2010; Paulo et al., 2013; Paulo et al., 2015; Ghassan et al., 2018). This advantage is tackled in this study. The proposed ANN approach is compact and efficient because it is fed with the input features of the post-power flow. Installing PMUs at every node and connecting them to fast and reliable telecommunication channels to gather the required inputs are
Husham Idan Hussein,
Ghassan Abdullah Salman,
Ahmed Majeed Ghadban
International Journal on Smart Sensing and Intelligent Systems
, Volume 12 , ISSUE 1, 1–10
Article | 02-November-2017
tea-taster like scores. It has been observed that pre-processing of gas sensor data improves the classification accuracy and in this paper, a comparative study of different normalization techniques is presented for black tea application using electronic nose. For this study black tea samples were collected from different tea gardens in India. At first Principal Component Analysis (PCA) is used to investigate the presence of clusters in the sensors responses in multidimensional space. Then
Bipan Tudu,
Bikram Kow,
Nabarun Bhattacharyya,
Rajib Bandyopadhyay
International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 1, 176–189
Article | 01-March-2015
the proposed method. The proposed method shows substantially higher accuracy at facial expression detection than has been previously achieved and gets a detection accuracy of 95.3%, which validates its effectiveness and meets the requirements of stable, reliable, high precision and anti-interference ability etc.
Shaoping Zhu,
Yongliang Xiao
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 1, 581–601
Research Article | 21-April-2017
substitute or supplement traditional survey techniques, being more efficient, and contributing thus to the standardisation of tunnel inspections. For the purpose of investigating the applicability and accuracy of laser scanning in tunnels, a set of tunnel lining models was constructed for laboratory tests, with the objective of determining the quality of the imaging. Initial tests were carried out using a performant laser scanner and demonstrated the feasibility of the concept. As a result, refined
Han-Mei CHEN,
Cristian ULIANOV,
Ramy SHALTOUT
Transport Problems, Volume 10 , ISSUE SE, 73–84
Article | 03-November-2017
theoretical CCD acquisition time of down to 1 μs. The interferogram thus captured can be applied for further phase retrieving using the developed frequency transform and band-pass filtering strategies. The band-pass filter is designed to obtain phase information for optimizing the 3-D surface reconstruction with both dimensional and structural measurement accuracy. Furthermore, a standard step-height target was measured to analyze accuracy and repeatability of the developed methodology. Experimental
L. C. Chen,
C. H. Cho,
X. L. Nguyen
International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 3, 345–380
Research paper | 01-September-2011
traces an object including convex and concave portions to evaluate edge trace precision. Error of distance obtained by the binocular vision is around ±10 mm when distance between the camera and object is around 600 mm. When the hand-arm robot touches the convex portion of the object, size data obtained by the vision is modified within ± 0.5 mm accuracy. Since the robotic finger is too thick to touch the bottom of the concave, size data of the concave portion obtained by tactile sensing includes
Sukarnur Che Abdullah,
Takuya Ikai,
Yusuke Dosho,
Hanafiah Bin Yussof,
Masahiro Ohka
International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 3, 508–5026
Article | 01-December-2012
another. The FLP, attached to the robot end-effector, aims at both centers of the two PSDs at the same time, effectively creating a virtual linear constraint for the robot end-effector. As a result, small variations in position and orientation of the end-effector are magnified on the laser spot’s location at the PSD’s surface. Hence, the resolution of measuring the position and orientation of the end-effector is improved due to the high precision feedback of the PSD, increasing the accuracy of joint
Biqiang Du,
Ning Xi,
Erick Nieves
International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 4, 987–1001
Article | 11-April-2018
the stimulating experiment, we use five benchmark functions to test the proposed method, and the results shows that IWM-PSO has greater convergence accuracy than WM-PSO and PSO. The empirical research is performed in testing the predictive effects of CSI 300 index in the proposed model compared with the back propagation functional link neural network (BP-FLANN), PSO-FLANN and WM-PSO-FLANN. The experiment utilizes two expansion functions, Chebyshev functions and trigonometric functions, to map the
Tian Lu,
Zhongyan Li
International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 173–178
research-article | 30-September-2019
technique(12,13).
Currently, two main types of elastography are available: shear wave elastography (SWE) and strain elastography (SE). Some authors have suggested that SWE is superior to SE in thyroid nodule stratification because of its operator independency, but recent meta-analyses have surprisingly shown that SE has better diagnostic accuracy than SWE(14,15) In addition, Dighe et al. described SWE artifacts and their impact on final results(16). In this paper, the authors suggested that almost 70
Katarzyna Dobruch-Sobczak,
Bartosz Migda,
Agnieszka Krauze,
Krzysztof Mlosek,
Rafał Z. Słapa,
Paweł Wareluk,
Elwira Bakuła-Zalewska,
Zbigniew Adamczewski,
Andrzej Lewiński,
Wiesław Jakubowski,
Marek Dedecjus
Journal of Ultrasonography, Volume 19 , ISSUE 78, 198–206
Research paper | 12-December-2017
In this paper, two robust fusion algorithms for a linear system with observation uncertainty are proposed. The first algorithm is based on the classical median function and the second one uses relative distances between local estimates and their median value. In the view of estimation accuracy, the proposed fusion algorithms can be robust against uncertainty measurements since median can avoid extremely big or small values. This fact is verified from comparative analysis using numerical
Inhea Beak,
Seokhyoung Lee,
Vladimir Shin
International Journal on Smart Sensing and Intelligent Systems, Volume 3 , ISSUE 2, 146–155
Article | 05-June-2013
For estimating the missing data of wireless sensor networks, an estimation algorithm called HD method, which can make use of sensoring space-time correlation of the data, was proposed based on mathematical Hermite and DESM statistical models. The algorithm not only can adaptively adjust the time and space weights, but also can accurately estimate the missing or unavailable data. The experimental results show that the algorithm has good stability and relatively high estimation accuracy.
Nan Yan,
Ming-zheng Zhou,
Li Tong
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 3, 1032–1053
Article | 01-April-2020
ISBT 128 will be implemented in the United States during the next two years. In addition to improving unit traceability and lookback tracking, this information technology standard has the power to detect and prevent errors in data entry by using data identifiers and check characters. Additionally,its ability to encode special testing results such as CMV and RBC phenotype on a label provides laboratories a computerized mechanism to verify the accuracy of such labels.
Suzanne H. Butch,
Patricia B. Distler
Immunohematology, Volume 22 , ISSUE 1, 30–36
Report | 26-October-2019
Antibody titration is traditionally performed using a conventional test tube (CTT) method, which is subjected to interlaboratory variations because of a lack of standardization and reproducibility. The aim of this study is to compare newer methods such as gel column technology (GCT) and erythrocyte magnetized technology (EMT) for antibody titration in terms of accuracy and precision. Patient serum samples that contained immunoglobulin G (IgG) red blood cell (RBC) alloantibodies of a single
Anju Dubey,
Atul Sonker,
Rajendra K. Chaudhary
Immunohematology, Volume 31 , ISSUE 1, 1–6
Research Article | 13-December-2017
convergence and acceptable accuracy in estimation of both target location and its magnetic moment.
B. Ginzburg,
L. Frumkis,
B.Z. Kaplan,
A. Sheinker,
N. Salomonski
International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 1, 110–122
Research Article | 02-February-2017
, respectively. A step-wise procedure to avoid planning fallacies and strategic misrepresentation is called the outside view. The outside view bypasses human biases by using past experience and empirical data from past projects. It has evolved into a professional practice through a method called reference class forecasting which has been shown to provide improved cost forecasting accuracy in the initial stage of a project. The study reported in this paper examined reference class
Thordur Vikingur FRIDGEIRSSON
Transport Problems, Volume 11 , ISSUE 2, 103–115
Article | 08-December-2019
calibrated with the Global Regression method acquiring a calibration matrix with a standard error percentage of full scale of maximum 0.5%. The instrumented pedal distinguishes itself from state-of-the-art techniques through (i) compatibility: it fits on every conventional bicycle, (ii) compactness: not influencing the cycling kinematics, (iii) broad applicability: it is applicable for in-situ measurements with extreme manoeuvres and (iv) accuracy: it delivers a relative high accuracy in relation to the
Sien DIELTIENS,
Jordi D’HONDT,
Marc JUWET,
Mark VERSTEYHE
Transport Problems, Volume 14 , ISSUE 4, 151–160
Article | 16-December-2013
HOG Feature is the mainstream feature applied in the field of pedestrian detection .HOG combined with CSS has good effects on pedestrian detection. Because of the large amount calculation of HOG and CSS, HOG and CSS has poor real-time performance, we propose LCSSF (Local Color Self Similarity Feature) avoiding calculating the global color similarity distribution of CSS. The tested results of the Inria and the street pedestrian database show that the accuracy of the HOG with LCSSF has better
Xianxian Tian,
Hong Bao,
Cheng Xu,
Bobo Wang
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 5, 1869–1890
Article | 01-September-2015
In this paper, a low cost fabrication of sub micron features size SAW device with conventional lithography and their application for toxic chemical vapor detection has been presented. The SAW devices with different interdigital transducer (IDT) electrodes line widths were designed and fabricated. The fabricated SAW devices features had an accuracy of ± 0.1 μm. Frequency response of the SAW devices was measured with vector network analyzer for design parameter confirmation. The fabricated
Upendra Mittal,
Tarikul Islam,
A T Nimal,
M U Sharma
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 3, 1601–1623
Article | 02-April-2018
Although there are many spectrum correction theories and implementations, they are individual to specific problem and lack of a comprehensive comparison. This brings down their practical value in engineering applications. To solve this problem, we hereby establish a spectrum analysis and correction system. Each method i.e. Energy BaryCenter Method, Ratioing, Phase Difference Method, Continuous Zoom and All-Phase Spectrum Analysis. Meanwhile summarizing their accuracy,universality,practicability
Liu Meichen,
Liu Xu,
Li Mei,
Wei Wei
International Journal of Advanced Network, Monitoring and Controls, Volume 1 , ISSUE 2, 47–52
Article | 01-December-2015
Voice Activity Detection (VAD) is a crucial step for speech processing, which detecting accuracy and speed directly affects the effect of subsequent processing. Some voice processing system based phone or in the indoor environment, which need simple and quick method of VAD, for these representative voice signal, this paper proposes a new algorithm which is adaptive and quick based on a major improvement to Dual-Threshold endpoint detection algorithm. First the amplitude normalization is
Zhang Zhigang,
Huang Junqin
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 4, 2175–2194
Article | 30-November-2018
Lei Chao,
Wang Changyuan,
Li Guang,
Shi Lu
International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 4, 24–29
Article | 26-October-2019
accuracy based on the direct detection method. Currently available platforms for MALDI-TOF MS–based genotyping are not without limitations, including high upfront instrumentation costs and the number of non-automated steps. The Hemo ID Blood Group Genotyping Panel, developed and optimized in a collaboration between the vendor and the Blood Transfusion Service of the Swiss Red Cross in Zurich, Switzerland, is not yet widely utilized, although several laboratories are currently evaluating the
Rhiannon S. McBean,
Catherine A. Hyland,
Robert L. Flower
Immunohematology, Volume 31 , ISSUE 2, 75–80
Research paper | 13-December-2017
This paper describes the development of linear autoregressive moving average with exogenous input (ARMAX) models to monitor the progression of dengue infection based on hemoglobin status. Three differents ARMAX model order selection criteria namely Final Prediction Error (FPE), Akaike’s Information Criteria (AIC) and Lipschitz number have been evaluated and analyzed. The results showed that Lipschitz number has better accuracy compared to FPE and AIC. Finally based on Lipschitz number
H. Abdul Rahim,
F. Ibrahim,
M. N. Taib,
R. Abdul Rahim,
Y.Mad Sam
International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 2, 403–419
Article | 05-September-2013
Prestressed Concrete Cylinder Pipe (PCCP) is a widely used water pipe all over the world. A major cause of PCCP failure is the internal wire break, which will emit acoustic signal. In this paper, a hydrophone-based PCCP real-time monitoring and failure-prediction system was proposed. By applying wavelet energy normalization analysis to signal feature extraction and Support Vector Machine (SVM) to signal recognition, a high prediction accuracy of 98.33% was achieved. The result showed that the
Yuan Zhang,
Yibo Li
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 4, 1582–1598
Article | 16-December-2013
Electrocardiogram (ECG) signal for human identity recognition is a new area on biometrics research. The ECG is a vital signal of human body, unique, robustness to attack, universality and permanence, difference to others traditional biometrics technic. This study also proposes Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ), that integrating feature extraction and classification method. The experiments shown that AMGLVQ can improve the accuracy of classification better
Elly Matul Imah,
Wisnu Jatmiko,
T. Basaruddin
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 5, 1891–1917
Article | 16-December-2013
and 32. The result has accuracy of 6DOF ±10.65º pitching, ±15.03° yawing and ±408.07 surging, marker stability has 97.625% and computation time runs at 35.41 fps.
Gia M. Agusta,
Khodijah Hulliyah,
Arini,
Rizal Broer Bahaweres
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 5, 1918–1948
Article | 01-June-2016
and NLOS situations using a sequence of estimated biases. Simulation results show that the proposed method provides good positioning accuracy.
Y. K. Benkouider,
M. Keche
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 1054–1072
Article | 16-April-2018
Many orientation and mobility (O&M) professionals working to meet the needs of children and adults with vision impairment may do so as a part of multi-agency rehabilitation teams. However, from a study of current literature in the fields of vision impairment, multiple-disability and intellectual disability, it is apparent that multiagency participation does not invariably identify with accuracy, all those requiring a service. This article discusses how those professionals working in multi
John Ravenscroft, Ph.D.
International Journal of Orientation & Mobility, Volume 1 , ISSUE 1, 83–86
Article | 11-April-2018
for square and subway station video monitoring images. Results show that our algorithm can outperform other traditional method both in accuracy and processing times.
Qingyu Zou,
Jianwen Guan,
Jing Bai,
Weiliang Sun
International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 190–193
Article | 07-May-2018
complete the fusion of features. The results show that the proposed method improves the accuracy of object recognition.
Ma Xing,
Yu Fan,
Yu Haige,
Wei Yanxi,
Yang Wenhui
International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 1, 19–22
Article | 07-May-2018
Ensemble learning can improve the accuracy of the classification algorithm and it has been widely used. Traditional ensemble learning methods include bagging, boosting and other methods, both of which are ensemble learning methods based on homogenous base classifiers, and obtain a diversity of base classifiers only through sample perturbation. However, heterogenous base classifiers tend to be more diverse, and multi-angle disturbances tend to obtain a variety of base classifiers. This paper
Fan Huimin,
Li Pengpeng,
Zhao Yingze,
Li Danyang
International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 1, 130–134
Research Article | 15-February-2020
This paper presents the development of an extrinsic optical fibre sensor for continuous measurement of the human spine bending movement based on intensity modulation technique. Using the investigated sensor configuration, the bending angle was measurable in both flexion and extension direction with a maximum range of motion of 18o and -10o, respectively. From the output drift assessment of the sensor, bending accuracy of up to 0.5o was achievable, thus making it suitable for clinical
M. A. Zawawi,
S. O’Keeffe,
E. Lewis
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–4
Article | 02-April-2020
Shuping Xu,
Yichen Chang,
Xiaohui Su,
Yu Guo
International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 1, 54–60
research-article | 30-November-2019
improve accuracy, blocks in HOG are made into intersections to allow duplication of processes in the cell. This increases computing speed. Meanwhile, PHOG feature extraction improves HOG in terms of cell size resolution based on level or depth. PHOG uses Canny edge detection for sharper object edges. However, edges of objects other than traffic signs also become sharper, resulting in a significant decrease in the accuracy. Therefore, the Haar–PHOG feature method is proposed to improve the accuracy of
Aris Sugiharto,
Agus Harjoko,
Suharto Suharto
International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–15
Research Article | 27-February-2017
-occupational asbestos exposure, and most have not subsequently revisited their prediction to ascertain its accuracy so the robustness of these methods is unclear. Because of the change in asbestos use in recent decades, more attention should be paid to understanding the risks and burden of future cases arising from non-occupational exposure. A range of current data exist that should be sufficient to incorporate into models to predict future cases of mesothelioma arising from non-occupational asbestos
Alison Reid
Evidence Base, Volume 2016 , ISSUE 3, 1–19
Article | 02-April-2018
the lift and drag generation of this particular aircraft. As to determine the lift and drag forces generated by this plane, a model was created in Solidworks a 3-D model-rendering program. After this model was created it was 3-D printed in a reduced scale, and subjected to wind tunnel testing. The results from the wind tunnel lab experiment were recorded. For accuracy, the same 3-D model was then simulated using CFD simulation software within Solidworks and compared with the results from the wind
Haifa El-Sadi
International Journal of Advanced Network, Monitoring and Controls, Volume 1 , ISSUE 2, 59–67
Research paper | 13-December-2017
better accuracy by 80.60%.The best parameters’ settings for this thesis can be found using the Lipschitz number criterion for the model order selection with artificial neural network structure of 4 trained using the Levenberg Marquardt algorithm.
H. Abdul Rahim,
F. Ibrahim,
M. N. Taib
International Journal on Smart Sensing and Intelligent Systems, Volume 3 , ISSUE 4, 783–806