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Article

Creative Sovereignty: The In-Between Space: Indigenous Sovereignties in Creative and Comparative Perspective

MATTHEW WILDCAT, JUSTIN DE LEON

Borderlands, Volume 19 , ISSUE 2, 1–28

Article

Radical Traversals

SIERRA EDD

Borderlands, Volume 19 , ISSUE 2, 63–96

Article | 01-June-2016

A COST-EFFECTIVE AND ACCURATE ELECTRICAL IMPEDANCE MEASUREMENT CIRCUIT DESIGN FOR SENSORS

A circuit design with bespoke control software is described which has delivered precision in electrical impedance measurements of ~ 10ppm, after calibration. It is low-cost and applicable to jobs such as direct measurement using a sensor whose resistance changes with some physical quantity of interest; calibration at end of line in the production of such sensors; or calibration of equipment which may be out of warranty. It was developed using resistance temperature detectors (RTDs).

Ciaran Doyle, Dr Daniel Riordan, Dr Joseph Walsh

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 509–525

Article | 08-April-2018

Design of high precision time synchronization system based on GPS/BD dual mode

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 | 01-June-2016

THREE-STEP REGISTRATION AND MULTI-THREAD PROCESSING BASED IMAGE MOSAIC FOR UNMANNED AERIAL VEHICLE APPLICATIONS

In the area of image mosaic for unmanned aerial vehicle (UAV) applications, the problems of precision and time consumption have drawn many scholars’ attention. To address above two problems, a novel algorithm based on three-step registration and multi-thread processing is proposed in this paper. This method divides the image registration into three steps to improve the precision. Firstly, based on the SIFT features, the fast index mechanism k-d tree and the Euclidean distance are utilized to

Hongguang Li, Wenrui Ding, Yufeng wang

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 1090–1109

Research Article | 13-December-2017

AUTOMATIC ADJUSTMENT FOR LASER SYSTEMS USING A STOCHASTIC BINARY SEARCH ALGORITHM
TO COPE WITH NOISY SENSING DATA

For laser systems, the adjustment of the optical axes is crucial. However, it is difficult for conventional methods to adjust the optical axes because they require high-precision positioning with μm resolutions and because laser systems have many adjustment points that have an interdependent relationship. We have proposed an automatic adjustment method using genetic algorithms to overcome this problem. However, there are still two problems that need to be solved: (1) long adjustment times, and

Hirokazu Nosato, Nobuharu Murata, Tatsumi Furuya, Masahiro Murakawa

International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 2, 512–533

Report | 26-October-2019

Comparative evaluation of gel column agglutination and erythrocyte magnetized technology for red blood cell alloantibody titration

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

Article | 01-March-2016

HIGH PRECISION TARGET LOCALIZATION METHOD BASED ON COMPENSATION OF ATTITUDE ANGLE ERRORS

Jialiang LIU, Wenrui Ding, Hongguang Li

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 1, 169–190

Article | 05-June-2013

Object Handling Precision Using Mouse-like Haptic Display Generating Tactile and Force Sensation

Satoshi Tsuboi, Masahiro Ohka, Hanafiah Yussof, Ahmad Khushairy Makhtar, Siti Nora Basir

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 3, 810–832

Article | 01-June-2015

METHOD OF OPTIMAL MEASUREMENT STRATEGY FOR ULTRA-HIGH-PRECISION MACHINE IN ROUNDNESS NANOMETROLOGY

Salah H. R. Ali

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 896–920

Research Article | 27-December-2017

An indoor positioning algorithm and its experiment research based on RFID

A kind of indoor locating algorithm based on RFID has been put forward since the indoor positioning system can not fully meet the requirements of location services. The algorithm takes the propagation characteristic of signal as the breakthrough point and improves the positioning precision of the algorithm by means of regional division, regional judgment strategy, virtual node, and so on. The optimal target position of the access point was put forward and an effective analysis of the regional

Yan Bingbing, Ren Wenbo, Yin Bolin, Li Yang

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 2, 879–897

Article | 01-September-2016

PGSA-BASED LOCALIZATION ALGORITHM FOR WIRELESS SENSOR NETWORK

, etc. In this paper, further enhancement of the algorithm by adding the plant root of adaptive backlight function to effectively improve the computing speed and localization precision has been reported. Comparing this algorithm with simulated annealing algorithm (SAA), simulation results show that this algorithm has a higher and more consistent localization precision and faster computational speed.

Yuqiang Qin, Hui Ying

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 3, 1287–1304

Research Article | 27-December-2017

EVALUATION OF DIFFERENT SENSING APPROACHES CONCERNING TO NONDESTRUCTIVE ESTIMATION OF LEAF AREA INDEX (LAI) FOR WINTER WHEAT

H. Tavakoli, S.S. Mohtasebi, R. Alimardani, R. Gebbers

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 1, 337–359

Article | 23-April-2018

Research on A Quantitative Assessment Model Based on Visual Perception in Low-Altitude Remote Sensing

Jianqiang Lu, Weixing Wang, Kexin Chen, Bing Jiang

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 4, 166–170

Article | 07-April-2018

Seven-spot Ladybird Optimization Algorithm Based on Bionics Principle

For solving the problems of modern intelligence algorithms such as slow convergence and low precision, a new algorithm based on bionics principle has been proposed which is inspired by the foraging behavior of seven-spot ladybirds in the nature. By analyzing the bionic principle of Seven-spot ladybird Optimization(SLO), we simulate the region search pattern of predation of seven-spot ladybirds ,combining fast extensive search with careful and slow intensive search of the ladybirds,meanwhile we

Wei Feng-tao, Lu Feng-yi, Zheng Jian-ming

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 1, 49–58

Article | 01-March-2015

ADJUSTMENT OF THE PARALLELISM OF TWO MIRRORS FOR WIDE ANGLE DIVIDED MIRROR MICHELSON WIND IMAGING INTERFEROMETER

. A new algorithm is proposed in this paper to adjust the parallelism of the two mirrors for the Michelson Interferometer. Thus a high precision parallelism of the two mirrors can be obtained to get the phase shift and calculate wind velocity. The interval of the two mirrors has maximum difference less than one tenth wavelength. The experiments were performed in visible channel to prove the feasibility of this proposed algorithm. It can also be used in other fields demanding two surfaces parallel

Shaojun Lu, Chunmin Zhang

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 1, 602–619

Article | 10-April-2018

Study on The Mechanical Properties of Hydrostatic Guide-way

Hydrostatic guide-way is used on CNC machine tools because of its advantages. In order to meet the requirements of ultra-precision CNC machine tool for precision and high speed, a new type hydrostatic guide-way with high liquid resistance is put forward. The simulation has been done how the position, width and depth of the ring on oil seal edge of hydrostatic guide-way effect on the oil chamber pressure. It is verified that the chamber’s pressure of hydrostatic guide-way can be enhanced

Enxiu Shi, Rongshen Zhang, Hailong Wang

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 4, 66–71

Article | 10-April-2018

A New High-Precision Mode Acceleration Method for Calculating Frequency Response of Non-Classically Damped Systems

Jingfang Shen, Peng Wang

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 4, 152–156

Article | 15-September-2020

Skew normal small area time models for the Brazilian annual service sector survey

produce estimates with acceptable precision for service activities in the North, Northeast and Midwest regions of the country. Therefore, the use of small area estimation models may provide acceptable precise estimates, especially if they take into account temporal dynamics and sector similarity. Besides, skew normal models can handle business data with asymmetric distribution and the presence of outliers. We propose models with domain and time random effects on the intercept and slope. The results

André Felipe Azevedo Neves, Denise Britz do Nascimento Silva, Fernando Antônio da Silva Moura

Statistics in Transition New Series, Volume 21 , ISSUE 4, 84–102

Article | 08-December-2019

DEVELOPMENT AND IMPLEMENTATION OF RETRO-REFLECTIVE ELEMENTS FOR AUTOMATIC ACCESSORIES AND PLACES OF PLANNED POINTS

For the first time, it was proposed to develop an optimal design of a circular reflector, to modernize the equipment for the production of a special cutting tool, and to work out the technology of formation with its use of the matrixes of the originals of the retro-reflective elements, and the technology of galvanic cultivation of precision working matrix dies.

Valentyn OSYPOV

Transport Problems, Volume 14 , ISSUE 4, 127–138

research-article | 06-November-2020

Competitive fitness analysis using Convolutional Neural Network

omitted because they were not fully visible. The analyses (i.e., classification and counting by the model) required approximately 6 sec per picture, although this time would strongly depend on the computing machine. The performance of the model was evaluated by (i) calculating recall and precision metrics and (ii) comparing the scores obtained by the model with those obtained by analyzing the same images by eye (henceforth called the ‘by eye’ method). Several errors and their types are additionally

Joanna K. Palka, Krzysztof Fiok, Weronika Antoł, Zofia M. Prokop

Journal of Nematology, Volume 52 , 1–15

Article | 22-January-2018

MAPPING POVERTY AT THE LEVEL OF SUBREGIONS IN POLAND USING INDIRECT ESTIMATION

estimation methods, which rely on information from outside the subpopulation of interest, which usually increases estimation precision. The main aim of this paper is to show results of estimation of the poverty indicator at a lower level of spatial aggregation than the one used so far, that is at the level of subregions in Poland (NUTS 3) using the small area estimation methodology (SAE), i.e. a model–based technique – the EBLUP estimator based on the Fay–Herriot model. By optimally

Marcin Szymkowiak, Andrzej Młodak, Łukasz Wawrowski

Statistics in Transition New Series, Volume 18 , ISSUE 4, 609–635

Research paper | 01-September-2011

EDGE EXTRACTION USING IMAGE AND THREE-AXIS TACTILE DATA

This paper describes a hand-arm system equipped with optical three-axis tactile sensors and a binocular vision sensor. The vision compensates for the limitations of tactile information and tactile sensing, and vice versa. The tactile sensor can obtain geometrical data as real scale, while image data requires calibration to obtain length as a metric unit. Even if stereovision is used, we cannot obtain sufficient precision. In the evaluation test, the robotic hand equipped with tactile sensors

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

INDUSTRIAL ROBOT CALIBRATION USING A VIRTUAL LINEAR CONSTRAINT

This paper proposes a systematic method to identify the joint zero offset of industrial robot. Small offset always exist in robot joint, which affect the precision in kinematic equations leading to calculate wrong joint angle values. To solve these problems, the proposed method employs a portable dual Position Sensitive Detector (PSD) device and a focusable laser point (FLP). The portable dual PSD device comprises two fixed PSDs tilted in an angle to reflect the laser line from one PSD to

Biqiang Du, Ning Xi, Erick Nieves

International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 4, 987–1001

Article | 03-November-2017

Thermal Effects in Design of Integrated CMOS MEMS High Resolution Pressure Sensor

Thermal effects in integrated piezoresistive MEMS pressure sensor may be a problem of concern in design for applications requiring high precision measurements and in continuously monitoring array of sensor network. It not only results in the shift of the offset voltage of the pressure sensor but also affects the performance of the adjacent CMOS circuit leading to erroneous values. To address this problem, the thermal effects of the integrated sensor chip along with its packaging arising out of

C. RoyChaudhuri, S K Datta, H. Saha

International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 3, 432–447

Research Article | 15-February-2020

Wavelet Transform Smoothing Filters for Metal Oxide Gas Sensor Signal Cleaning

This paper reports on a series of experiments to evaluate the methods for feature extraction and denoising the digital signal from thin film zinc oxide-tin dioxide composite gas sensor devices. The aim was to find a method that not only cleaned the signal but also maintained the shape, precision and resolution of the signal. It was found that the Savitzky–Golay smoothing filter method gave the best, smoothed and cleaned, approximation of the sensor response regardless of the thin film

Enobong Bassey, Jacqueline Whalley, Philp Sallis, Krishnamachar Prasad

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–5

Research Article | 01-September-2014

A SENSITIVE DIGITAL MOISTURE DETECTOR FOR NANOSTRUCTURED THIN FILM SENSOR

A digital moisture measuring instrument based on phase angle measuring technique with porous silicon (PSi) or porous alumina (PA) as capacitive moisture sensor is proposed. The proposed technique can measure digitally the phase angle change of capacitive impedance of porous silicon or porous alumina sensor due to change in moisture concentration in terms of clock pulses. Analysis shows that the proposed circuit leads to higher precision by minimizing the errors caused by

TARIKUL ISLAM, MD. FIROZ A, KHAN, S. A. KHAN, H. SAHA

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 3, 1059–1076

Research Article | 27-December-2017

NEW INTELLIGENT CLASSIFICATION METHOD BASED ON IMPROVED MEB ALGORITHM

We present a simple approximate algorithm to compute the Minimum Enclosing Ball (MEB) of training samples in high dimensional Euclidean space. We prove theoretically that the proposed algorithm converges to the optimum within any precision quickly. Compared to popular MEB algorithms, it has the competitive performances on both training time and accuracy. Besides, the proposed algorithm does not need any extra requirement on kernels, it can be linked with extensive kernel methods, consequently

Yongqing Wang, Lei Liu

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 1, 72–95

Article | 01-December-2014

FACE RECOGNITION BASED ON IMPROVED SUPPORT VECTOR CLUSTERING

Traditional methods for face recognition do not scale well with the number of training sample, which limits the wide applications of related techniques. We propose an improved Support Vector Clustering algorithm to handle the large-scale biometric feature data effectively. We prove theoretically that the proposed algorithm converges to the optimum within any given precision quickly. Compared to related state-of-the-art Support Vector Clustering algorithms, it has the competitive performances on

Yongqing Wang, Xiling Liu

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 4, 1807–1829

Article | 01-September-2016

VALVE BARREL POSITION CONTROL BASED ON SELF-TUNING FUZZY PID WITH PARTICLE SWARM OPTIMIZATION

PSO optimization is proven to show better precision, dynamic performance index and more rapid tracking performance and robustness. To this end, step response was used to compare and analyze the results from the PSO algorithm optimization, providing a pragmatic method of better comprehensive performance for PID parameter optimization.

Zhang Haiyan, Song Lepeng, Dong Zhiming

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 3, 1497–1515

Article | 20-November-2017

INVESTIGATION ON PHOTOELECTRIC THEODOLITE DATA PROCESSING AND RANDOM ERRORS MODEL

Measure error of photoelectric theodolite would influence result precision when tracking flight target. This paper researches error problem of testing. It analyses all the causes of error forming, divides them to several sorts: system error, random error and outlier error, then provides resolution method to each sort. Especially for random error, it builds an error model, analyses the properties of unbiased, equal variance and uncorrelated, conducts best error estimate, discuss the relationship

Xiang Hua, Jinjin Zhang, Bin Lei

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1180–1202

Article | 01-September-2014

HIGH-ACCURACY POSITIONING OF LATHE SERVO SYSTEM USING FUZZY CONTROLLERS BASED ON VARIABLE UNIVERSE OF DISCOURSE

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

Article | 13-December-2019

A NEW RATIO ESTIMATOR: AN ALTERNATIVE TO REGRESSION ESTIMATOR IN SURVEY SAMPLING USING AUXILIARY INFORMATION

The most dominant problem in the survey sampling is to obtain the better ratio estimators for the estimation of population mean or population variance. Estimation theory is enhanced by using the auxiliary information in order to improve on designs, precision and efficiency of estimators. A modified class of ratio estimator is suggested in this paper to estimate the population mean. Expressions for the bias and the mean square error of the proposed estimators are obtained. Both analytical and

Mir Subzar, S. Maqbool, T. A. Raja, Prayas Sharma

Statistics in Transition New Series, Volume 20 , ISSUE 4, 181–189

Sampling Methods | 22-July-2018

UNIVARIATE SAMPLE SIZE DETERMINATION BY ALTERNATIVE COMPONENTS: ISSUES ON DESIGN EFFICIENCY FOR COMPLEX SAMPLES

Sample size determination for any sample survey can be based on the desired objectives of the survey as well as the level of confidence of the desired estimates for some survey variables, the desired precision of the survey results and the size of the population. In addition to these, the cost of enumeration can also be considered as an important criterion for sample size determination. Recently, some international organizations have been using univariate sample size determination approaches

Ceylan Talu Yozgatligil, H. Öztaş Ayhan

Statistics in Transition New Series, Volume 19 , ISSUE 2, 201–218

Research Article | 27-December-2017

Hybrid Intelligent Method of Identifying Stator Resistance of Motorized Spindle

data and then reduced the dimension of input variables. Moreover, neural network is used to fit the non-linearity between input and output variables. The model based on partial least squares regression and neural network can identify stator resistance under different conditions of the motorized spindle. The results show that the method has high identification precision and is helpful to improve the performance of vector control system.

Lixiu Zhang, Yuhou Wu, Ke Zhang

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 2, 781–797

Article | 01-December-2012

Probabilistic Joint State Estimation of Robot and Non-static Objects for Mobile Manipulation

utilized for efficient joint estimation and laser sensing based smooth observation model is also introduced. The resulting algorithm works in real-time and estimates the position of people and state of doors with sufficient precision. Our approach has been tested in typical indoor environment with people, doors and other non-static objects. Experimental results demonstrate the favorable performance of the position estimation accuracy as well as the capability to deal with the uncertainty of mobile

Kun Qian, Xudong Ma, Xian Zhong Dai, Fang Fang, Bo Zhou

International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 4, 1081–1096

Article | 01-December-2016

SPECTRAL CLUSTERING WITH SPATIAL COHERENCE PROPERTY JOINTING TO ACTIVE CONTOUR MODEL FOR IMAGE LOCAL SE GMENTATION

Local Segmentation is the fundamental task for image processing. Consider to the problem of low segmentation precision and contour control instability for image local segmentation, a local segmentation theory is researched that based on SSCACM (spectral clustering with spatial coherence property jointing active contour model). First, by applying spatial coherence property constraint of image pixels to spectral clustering, an adaptive similarity function is constructed and the corresponding

Guang Hu, Shengzhi Yuan

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 1731–1749

Article | 24-April-2018

Research on Image Denoising Adaptive Algorithm for UAV Based on Visual Landing

UAV autonomous landing refers to the UAV lands on only depending on airborne navigation equipment and flight control system, and ultimately achieves a safe landing. To achieve self-landing, UAV must have the ability to self-navigation and positioning, so that the high-precision visual navigation positioning technology is the key to achieve UAV self-landing technology.This paper concentrating on the noise effects on the pictures obtained during visual landing process of UAV, it has introduced

Pengrui Qiu, Xiping Yuan, Shu Gan, Yu Lin

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 4, 114–117

Article | 30-November-2020

Deep Periocular Recognition Method via Multi-Angle Data Augmentation

I. INTRODUCTION Identity identification is a basic problem in social life [1], which is not only closely related to the interests of individuals, but also affected national security and social stability. This paper studies the periocular recognition technology based on deep learning, which is to use the image of the eye area to identify the identity of people. Due to the high precision, high ease of use and high security of the eye circumference [2], it is easy to obtain eye images, analyze

Bo Liu, Songze Lei, Yonggang Li, Aokui Shan, Baihua Dong

International Journal of Advanced Network, Monitoring and Controls, Volume 6 , ISSUE 1, 11–17

Article | 01-September-2016

A NOVEL HYBRID LOCALIZATION METHOD FOR WIRELESS SENSOR NETWORK

components of the localization information, and then regarding the nonlinear principal components extracted from distance vectors as the input samples, and meanwhile taking the coordinates of vertices in addition to the region boundary as the output samples, the PSO-BP neural network is trained to achieve the localization model. Finally the localization of unknown nodes can be estimated. The simulation experiment result showed that the method has high ability of stability and precision, and meets the

Wang Jun, Zhang Fu, Ren Tiansi, Chen Xun, Liu Gang

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 3, 1323–1340

Article | 30-November-2018

Analysis and Design of Image Segmentation Algorithm Based on Super-pixel and Graph Cut

Feng Xiao, Hao Sun

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 4, 25–30

Sampling Methods | 26-May-2018

IMPROVED ROTATION PATTERNS USING TWO AUXILIARY VARIABLES IN SUCCESSIVE SAMPLING

The present paper emphasizes the role of two auxiliary variables on both the occasions to improve the precision of estimates at the current (second) occasion in two-occasion successive sampling. Information on two auxiliary variables, which are positively correlated with the study variable, has been used with the aid of exponential type structures and an efficient estimation procedure of population mean on the current (second) occasion has been suggested. The behaviour of the proposed estimator

Jaishree Prabha Karna, Dilip Chandra Nath

Statistics in Transition New Series, Volume 19 , ISSUE 1, 25–44

Article | 01-June-2015

LINE-OF-SIGHT BASED 3D LOCALIZATION OF PARALLEL KINEMATIC MECHANISMS

Autonomous robots (manipulators or vehicles) may accumulate significant errors during their long-range motion to a desired position and orientation (pose). These errors, however, can be compensated for by subsequent local, short-range corrective actions to within random noise levels of the system. This paper presents a generic localization method for high-precision parallel kinematic mechanisms (PKMs) in order to allow them to accurately achieve their desired poses. The proposed method employs

Erkai Zhou, Mengzhe Zhu, Alexander Hong, Goldie Nejat, Beno Benhabib

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 842–868

Article | 01-June-2015

INTELLIGENT NEURAL NETWORK CONTROL STRATEGY OF HYDRAULIC SYSTEM DRIVEN BY SERVO MOTOR

A novel intelligent neural network control scheme which integrates the merits of fuzzy inference, neural network adaptivity and simple PID method is presented in this paper. This control method overcomes the defects existed in the traditional variable frequency induction motor driven hydraulic source, such as slow response, poor control precision, easy to overshoot. Permanent magnet synchronous motor driven constant pump hydraulic system is designed instead of common motor, energy saving, fast

Ma Yu

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1406–1423

Article | 01-December-2016

OPTIMAL ANALOG WAVELET BASES CONSTRUCTION USING HYBRID OPTIMIZATION ALGORITHM

(SQP) is proposed. CPSO is an improved PSO in which the saw tooth chaotic map is used to raise its global search ability. CPSO is a global optimizer to search the estimates of the global solution, while the SQP is employed for the local search and refining the estimates. Benefiting from good global search ability of CPSO and powerful local search ability of SQP, a high-precision global optimum in this problem can be gained. Finally, a series of optimal analog wavelet bases are constructed using the

Hongmin Li, Yigang He, Yichuang Sun

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 1918–1942

Article | 01-December-2014

NUMERICAL ANALYSIS OF SLIDING FRICTION COEFFICIENT AND THE NORMAL PRESSURE BETWEEN THE CABLE WIRE

feasibility, using ANSYS to solve the contact problem of accuracy and precision. On this basis, the strand steel beam of contact analysis, the preliminary inquiry arching effect on cable parallel wire.

Zhu Hui-ling, Zhu Xin-yin, Wang Yu-lin

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 4, 1773–1788

Research Article | 01-December-2017

Dwipa Ontology III: Implementation of Ontology Method Enrichment on Tourism Domain

This article summarizes some research results related to ontology enrichment specific to tourism domains from 2014 to 2017. Currently, some ontology enrichment approaches can use learning machinery such as support vector machine (SVM), Conditional Random Field (CRF) and kNN. Several studies have also been successful in evaluating ontology enrichment results with several parameters such as precision, recall and F-Measure. In addition, our research can enrich Dwipa Ontology II which has been

Guson Prasamuarso Kuntarto, Irwan Prasetya Gunawan, Fahmi L. Moechtar, Yudhiansyah Ahmadin, Berkah I. Santoso

International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 4, 903–919

Article | 30-November-2018

A Survey of Calibration Methods for Traditional Cameras Based on Line Structure Light

measurement technology of line structure light has the advantages of fast measurement speed, high precision and low measurement environment requirements, and is widely welcomed [3]. Camera calibration is the main factor that restricts the accuracy of 3D measurement, which has attracted wide attention from scholars and improved step by step. II. CAMERA CALIBRATION CONTENT Wherever Times is specified, Times Roman or Times New Rom The camera calibration method is different according to the way of solving

Ruixia Wu, Baolong Liu, Huimin Yao

International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 1, 66–71

Article | 18-March-2020

Robust estimation of wages in small enterprises:  the application to Poland’s districts

The paper presents an empirical study designed to test a small area estimation method. The aim of the study is to apply a robust version of the Fay-Herriot model to the estimation of average wages in the small business sector. Unlike the classical Fay-Herriot model, its robust version makes it possible to meet the assumption of normality of random effects under the presence of outliers. Moreover, the use of this version of the Fay-Herriot model helps to improve the precision of estimates

Grażyna Dehnel, Łukasz Wawrowski

Statistics in Transition New Series, Volume 21 , ISSUE 1, 137–157

Review | 13-September-2016

Breast ultrasound scans – surgeons’ expectations

Recent years have witnessed a dynamic development of mammary gland imaging techniques,particularly ultrasonography and magnetic resonance imaging. A challengerelated to these studies is the increase in the precision of the anatomical assessment of breast, particularly for early detection of subclinical lesions, performance of ultrasound-guided biopsy procedures, and accurate preoperative location of pathological lesions so as to optimize the surgical treatment. Ultrasound imaging is a primary

Piotr Bednarski, Katarzyna Dobruch-Sobczak, Eryk Chrapowicki, Wiesław Jakubowski

Journal of Ultrasonography, Volume 15 , ISSUE 61, 164–171

Article | 22-January-2018

ESTIMATION OF SMALL AREA CHARACTERISTICS USING MULTIVARIATE RAO-YU MODEL

discussed. The calculations were performed using the sae and sae2 packages for R-project environment. Direct estimates were performed using the WesVAR software, and the precision of the direct estimates was determined using a balanced repeated replication (BRR) method.

Alina Jędrzejczak, Jan Kubacki

Statistics in Transition New Series, Volume 18 , ISSUE 4, 725–742

Article | 01-March-2015

INTELLIGENT DETECTION OF FACIAL EXPRESSION BASED ON IMAGE

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

Article | 09-April-2018

Research of Petroleum Well Fuel Pump Measurement & Control System Based on Internet of Things Technology

maintenance, low labor intensity, high time efficiency of measurement & control and high precision with the traditional manual inspection methods of the petroleum well fuel pump to compare.

Shengquan Yang, Ceng Gong

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 4, 127–132

Research Article | 15-February-2020

A New Scheme for Determination of Respiration Rate in Human Being using MEMS Based Capacitive Pressure Sensor: Simulation Study

during inspiration and expiration impinge on the sensor diaphragms. Due to nasal airflow, the designed square diaphragm of the sensor is being deflected and thus induces a corresponding change in the original capacitance value. This change in capacitance value is to be detected by a correlateddouble-sampling (CDS) capacitance-to-voltage converter is designed for a precision interface with a MEMS capacitive pressure sensor, followed by an amplifier and a  differential cyclic ADC to digitize the

Madhurima Chattopadhyay, Deborshi Chakraborty

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–5

Article | 27-May-2019

ON THE SMOOTHED PARAMETRIC ESTIMATION OF MIXING PROPORTION UNDER FIXED DESIGN REGRESSION MODEL

;kernel function” as described in the introduction. We investigated the following results of the smoothed estimator under the non-i.i.d. set-up such as (a) its small sample behaviour is compared with the unsmoothed version (BJ estimator) based on their mean square errors by using Monte-Carlo simulation, and established the percentage gain in precision of smoothed estimator over its unsmoothed version measured in terms of their mean square error, (b) its large sample properties such as almost

Y. S. Ramakrishnaiah, Manish Trivedi, Konda Satish

Statistics in Transition New Series, Volume 20 , ISSUE 1, 87–102

Research Article | 21-April-2017

3D LASER SCANNING TECHNIQUE FOR THE INSPECTION AND MONITORING OF RAILWAY TUNNELS

laboratory models were built, and experiments conducted, to establish the quality and precision of laser scanning imaging, for condition monitoring of tunnels. The experimental results indicate that the laser scanning technique used in this research has high potential for detecting the tunnel condition, monitoring the depth of weathered mortar, spalling bricks etc. with high accuracy in static scanning mode.

Han-Mei CHEN, Cristian ULIANOV, Ramy SHALTOUT

Transport Problems, Volume 10 , ISSUE SE, 73–84

Article | 24-July-2017

Sampling Error in Relation to Cyst Nematode Population Density Estimation in Small Field Plots

soil. Goodness of fit of data to probability distribution tested with x2 test confirmed a negative binomial distribution of cyst counts for 21 out of 23 plots. The recommended measure of sampling precision of 17% expressed through coefficient of variation (cv) was achieved if the plots of 1m2 contaminated with more than 90 cysts per 100 g of soil were sampled with 10-core bulk samples taken in five repetitions. If plots were contaminated with less than 75 cysts per 100 g of soil, 10-core bulk

VESNA ZUPUNSKI, RADIVOJE JEVTIC, VESNA SPASIC JOKIC, LJUBICA ZUPUNSKI, MIRJANA LALOSEVIC, MIHAJLO CIRIC, ZIVKO CURCIC

Journal of Nematology, Volume 49 , ISSUE 2, 150–155

Research Article | 20-February-2013

A VERSATILE LATTICE BASED MODEL FOR SITUATION RECOGNITION FROM DYNAMIC AMBIENT SENSORS

application.For illustration, we model and perform real time recognition of activity of a person in indoor home environment with ambientsensors.The embedded sensors captureusage and proximity of human beings to objects.We apply the model learnt from one house, foractivity recognition of new persons across different new houses. The recognition results obtained have high precision and recall.

Sangeeta Mittal, Krishna Gopal, S.L. Maskara

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 403–432

Article | 31-December-2013

EVALUATION OF FINGER DIRECTION RECOGNITION METHOD FOR BEHAVIOR CONTROL OF ROBOT

turntable capable of fixing a hand in a specific finger direction. We estimated various finger directions and distances for two major pointing hand forms (Forms 1 and 2) and evaluated the precision of θ and Φ. We conclude that the θ and Φ estimations are valid because the estimation error is almost within 10  when the distance between the camera and object is less than 110 and 80 cm for θ and Φ for Forms 1 and 2, respectively. Finally, we applied our FDR system to the communication between a robot and

T. Ikai, M. Ohka, S. Kamiya, H. Yussof, S. C. Abdullah

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 5, 2308–2333

Article | 30-November-2018

Research and Realization on the key technology of Motion Image Matching Based on UAV

: The no orthogonal error coefficient of CCD array arrangement. The space resection method is used to calculate the coordinates of the camera in photography, which improves the precision of high external square elements and the precision of geometric calibration [4]. The precise control of UAV attitude is mainly timely adjusted through the acquired signals of the attitude sensor, which generally includes two types: the angle sensor and the angular velocity sensor, The dip sensor is implemented

Yuri Shebzukhov, Wang Yubian

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 4, 1–6

research-article | 30-November-2018

THE EFFECTS OF DEAD LOADS IN CANTILEVER CONCRETING BRIDGES

mathematical comparison of both values shows the approximation of their values when the c-section tends to zero. However, in the case of measurements on an object, the differences in the value w in points i, j, k also tend to zero. Therefore, in practice, the precision (accuracy) of measurements may be of great importance in the selection of c. Figure 5 presents function κ(x,t), which was calculated on the basis of the diagrams w(x,t) shown in Figure 3 with the use of dependence (19). In the key of these

Czesław MACHELSKI

Architecture, Civil Engineering, Environment, Volume 12 , ISSUE 1, 109–120

Research Article

Parallel Arc Diagrams: Visualizing Temporal Interactions

This paper introduces a new computer-based visualization method, the parallel arc diagram (PAD), which is capable of uniquely representing 2-mode temporal relationships in a manner that assists in highlighting simple features of the network. The PAD approach relies on a computer’s ability to render link lines adjacent to each other with orderly precision, resulting in features that facilitate preattentive processing of simple network characteristics and providing the ability to discern

Peter Hoek

Journal of Social Structure, Volume 12 , ISSUE 1, 1–25

Research Article | 15-February-2020

Thin Film Coated QCM-Sensors and Pattern Recognition Methods for Discrimination of VOCs

discrimination of gas species and concentrations. Good separation among gases has been obtained using the principal component analysis. The feed-forward multilayer neural network (MLNNs) with a hidden layer and trained by Broyden Fletcher Goldfarb Shanno (BFGS) Quasi Newton algorithm has been implemented in order to identify and quantify the VOCs.  By increasing the number of the neuron in the hidden layer, the precision of the estimate concentration increases. The approach is standard, however its

Omar C. Lezzar, A. Bellel, M. Boutamine, S. Sahli, Y. Segui, P. Raynaud

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–6

Research Article | 30-November-2015

Anxiety Disorders among Adolescents referred to General Psychiatry for Multiple Causes: Clinical Presentation, Prevalence, and Comorbidity

structured instruments—irrespective of referral cause—to improve both precision and detection rates in the clinical setting. Comprehensive assessments are of utmost importance to fully address the complexity of the symptoms in this patient group.

Susanne Olofsdotter, Sofia Vadlin, Karin Sonnby, Tomas Furmark, Kent W. Nilsson

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 4 , ISSUE 2, 55–64

Article | 06-July-2017

SMALL AREA ESTIMATION OF INCOME UNDER SPATIAL SAR MODEL

and adapts the idea of parameter estimation for small areas by means of the HB method in the case of known model hyperparameters. The illustration of the approach mentioned above was based on a real-world example concerning household income data. The precision of the direct estimators was determined using own three-stage procedure which employs Balanced Repeated Replication, bootstrap and Generalized Variance Function. Additional simulations were conducted to show the influence of the spatial

Jan Kubacki, Alina Jędrzejczak

Statistics in Transition New Series, Volume 17 , ISSUE 3, 365–390

Article | 08-December-2019

DEVELOPMENT OF A LOW-COST MEASUREMENT SYSTEM TO DETERMINE 3-DIMENSIONAL PEDAL LOADS DURING IN-SITU CYCLING

production precision and production costs.

Sien DIELTIENS, Jordi D’HONDT, Marc JUWET, Mark VERSTEYHE

Transport Problems, Volume 14 , ISSUE 4, 151–160

Article | 01-December-2015

AN ADAPTIVE VOICE ACTIVITY DETECTION ALGORITHM

the different requirements. The method of this paper ensures both detection speed and precision, which has more flexibility and applicability.

Zhang Zhigang, Huang Junqin

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 4, 2175–2194

research-article | 30-November-2017

APPLICATION OF THE HOMOTOPY ANALYSIS METHOD FOR DETERMINING THE FREE VIBRATIONS OF BEAM

solving the problems under consideration. The presented computational examples confirm the precision and the fast convergence of investigated method. In the linear case we knew the exact solutions, so we could compare with them the solutions obtained with the aid of homotopy analysis method. This case served then to verify the exactness and convergence of the discussed method. In the nonlinear case, when the exact solution was unknown, we compared the approximate solutions received by using the

Krzysztof GROMYSZ, Damian SŁOTA

Architecture, Civil Engineering, Environment, Volume 11 , ISSUE 1, 61–71

Article | 01-March-2015

THE TRANSFORMER WINDING TEMPERATURE MONITORING SYSTEM BASED ON FIBER BRAGG GRATING

experimental results show that the system has high accurate measurement which meeting high precision requirements of transformer winding temperature.

Danping Jia, Zuoying Yao, Chunhua Li

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 1, 538–560

Article | 01-June-2016

EXPERIMENTAL AND THEORETICAL VALIDATION METHOD FOR ESTIMATION OF STRAIGHTNESS DEVIATION AND ASSOCIATED UNCERTAINTY IN CNC-CMM MEASUREMENT

Geometrical deviation in intelligent metrology system is an important factor in precision engineering. Estimating the deviation and associated uncertainty in straightness feature remains a necessary requirement to ensure highly accurate metrology method especially in CNC-CMM measurement. Optimization in straightness measurement using soft algorithm techniques is a widely encountered solution in coordinate metrology. In this work, straightness deviation has been measured precisely in 2D and in

Salah H.R. Ali, M.A.H. Khalafalla, Ihab H. Naeim, Sarwat Z.A. Zahwi

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 397–418

Article | 13-December-2019

ESTIMATION OF INCOME CHARACTERISTICS FOR REGIONS IN POLAND USING SPATIO-TEMPORAL SMALL AREA MODELS

contrasted with EBLUPs based on spatial models obtained separately for each year and with EBLUPs based on the Rao-Yu model. The computations were performed using sae, sae2 and spdep packages for R-project environment. In the case of sae package, the eblupFH, eblupSFH and the eblupSTFH functions were used for point estimation along with the mseFH, mseSFH and the pbmseSTFH functions for the MSE estimation, whereas the eblupRY function was applied for the purposes of sae2 package. The precision of direct

Alina Jędrzejczak, Jan Kubacki

Statistics in Transition New Series, Volume 20 , ISSUE 4, 113–134

research-article | 31-December-2019

Role of intrapartum ultrasound in modern obstetrics – current perspectives and literature review

system is available, intrapartum sonography is an easily accessible, rapid bedside examination producing results in less than a few minutes. The time necessary for learning the method and achieving precision in its application is considerably shorter than in the case of gynaecological examination(38), and the reliability of results does not depend on the level of experience in performing ultrasound examinations(17). Intrapartum sonography is a painless examination(39,40) and, in the opinion of

Małgorzata Siergiej, Iwona Sudoł-Szopińska, Jerzy Zwoliński, Anna Maria Śladowska-Zwolińska

Journal of Ultrasonography, Volume 19 , ISSUE 79, 295–301

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