Intensity Distribution Pattern Research Articles

ОСНОВНІ РЕЖИМИ РОБОТИ І ГРАФІЧНИЙ ІНТЕРФЕЙС КОРИСТУВАЧА КОМПЛЕКСУ ДЛЯ ЕКСПЕРИМЕНТАЛЬНИХ ДОСЛІДЖЕНЬ МАГНІТНИХ ПОЛІВ І ДІАГНОСТУВАННЯ ЕЛЕКТРОЕНЕРГЕТИЧНОГО ОБЛАДНАННЯ

Hardware and software monitoring complex is designed to study the relationship between changes in the patterns of the magnetic field intensity distribution with power equipment failures. In experimental studies with predetermined techni-cal faults artificially introduced into the object the complex will provide useful and reliable results by registering changes in the magnetic field induction in the spatial, temporal and frequency domains. The choice and flexible adjust-ment of data collection tools by the researcher will ensure the use of the most appropriate method for measuring, con-verting and displaying information about the investigated faults. The article presents the main operating modes and graphical user interfaces of a personal computer and a mobile data acquisition system that jointly convert, store, ana-lyze and display measurement information received from various magnetic sensors. The generalized functional specifi-cation of the complex software, the design of the graphical user interface (GUI) as parts of the real-time operating sys-tem (RTOS) of the mobile data acquisition system (DAQ) and PC software will also be used in the development of prob-lem-oriented computer diagnostic systems for electric power equipment. Ref. 12, fig. 3.

Adaptive phase retrieval algorithm for local highlight area based on a piecewise sine function.

Phase measuring profilometry (PMP) has been widely used in industries for three-dimensional (3D) shape measurement. However, phase information is often lost due to image saturation results from high-reflection object surfaces, leading to subsequent 3D reconstruction errors. To address the problem, we propose an adaptive phase retrieval algorithm that can accurately fit the sinusoidal fringes damaged by high reflection in the saturated regions to retrieve the lost phase information. Under the proposal, saturated regions are first identified through a minimum error thresholding technique to narrow down regions of interest and so that computation costs are reduced. Then, images with differing exposures are fused to locate peak-valley coordinates of the fitting sinusoidal fringes. And the corresponding values of peak-valley pixels are obtained based on a least squares method. Finally, an adaptive piecewise sine function is constructed to recover the sinusoidal fringe pattern by fitting the pattern intensity distribution. And the existing PMP technology is used to obtain phase information from the retrieved sinusoidal fringes. To apply the developed method, only one (or two) image with different exposure times is needed. Compared with existing methods for measuring reflective objects, the proposed method has the advantages of short operation time, reduced system complexity, and low demand on hardware equipment. The effectiveness of the proposed method is verified through two experiments. The developed methodology provides industry an alternative way to measure high-reflection objects in a wide range of applications.

Exploring the intensity, distribution and evolution of teleconnections using climate network analysis.

Teleconnections refer to long-range climate system linkages occurring over typically thousands of kilometers. Generally speaking, most teleconnections are attributed to the transmission of energy and propagation of waves although the physical complexity and characteristics behind these waves are not fully understood. To address this knowledge gap, we develop a climate network-based approach to reveal their directions and distribution patterns, evaluate the intensity of teleconnections, and identify sensitive regions using global daily surface air temperature data. Our results reveal a stable average intensity distribution pattern for teleconnections across a substantial spatiotemporal scale from 1948 to 2021, with the extent and intensity of teleconnection impacts increasing more prominently in the Southern Hemisphere over the past 37 years. Furthermore, we pinpoint climate-sensitive regions, such as southeastern Australia, which are likely to face increasing impacts due to global warming. Our proposed method offers new insights into the dynamics of global climate patterns and can inform strategies to address climate change and extreme events.

Rapid Estimation of Ethanol Concentration using Acousto‐Optic Diffraction

AbstractFast and accurate determination of ethanol concentration is important in alcohol industries for testing the purity and quality of their products. Here, we demonstrate a quick, robust, and accurate technique to estimate the concentration of ethanol in aqueous solutions. Our method utilizes the principle of diffraction of light in the presence of high frequency ultrasound waves that create diffraction grating in solution. A monochromatic light interacts with this acoustic grating and produces an intensity distribution pattern, which was used to determine the ethanol concentration. We measured ethanol concentrations in various alcoholic solutions and beverages at room temperature with very high accuracy down to 2 % over a concentration range of 30–100 %. The experimental results have been supported with analytical calculations and simulations. We believe that our method will benefit alcohol production industries and lead to the development of portable, inexpensive, and reliable ethanol concentration measurement devices.

A Mathematical Model for Layout Design of Linear Induction Motors

The designing of induction motors is considered as a two-stage process of synthesizing an electromechanical system. At the first stage, the device layout is designed, during which the electric motor main dimensions and electromagnetic loads are determined based on empirical data. At the second stage, the device detailed design is developed. The models and methods applied at the stages of layout and detailed designing of rotating and linear induction motors (LIM) differ radically from each other. The following requirements are imposed on the LIM design models. First, the LIM model should allow the designer to calculate the intensity and spatial distribution pattern of the electromagnetic field and secondary current for each speed value. Second, the LIM model should be able not only to link the main dimensions with electromagnetic loads, but also explicitly produce the numerical indicators of electric motor energy efficiency and thermal load. A design model is proposed that satisfies the above-mentioned requirements and describes the LIM electromechanical, energy and thermal states. The model input parameters are the main dimensions and electromagnetic loads of the device. The controlled parameters are the electromagnetic force, efficiency and temperature of the inductor winding. The system layout is designed by evaluating the values of controlled parameters with variations of input parameters in technically feasible ranges. The article presents the results of designing a LIM according to the proposed model with an electromagnetic force of up to 1000 N, motion speed up to 12 m/s, working stroke up to 2.16 m, and efficiency up to 46%. The results of the thermal calculation testify that the electric motor can operate in short-term and intermittent modes. The results of calculating the performance of an electric motor with the same dimensions and a reduced current density in the inductor winding are also presented. An electric motor with insulation class F and natural air cooling develops an electromagnetic force of up to 116 N and can operate continuously over the entire speed range.

A sliding-window-threshold algorithm for identifying global mesoscale ocean fronts from satellite observations

Mesoscale ocean fronts play a significant role in marine fisheries, ecosystems, and climate change, and a front detection algorithm appropriate for satellite Earth observation use is a fundamental tool to observe and monitor long-term frontal activities. Since various ecological processes usually work on different spatiotemporal scales, it is vital to separate the fronts at different scales from the multiscale oceans to better study their scale-specific biophysical processes. A sliding-window-threshold algorithm (SWTA) is thus developed to extract the mesoscale frontal zones and lines from the multiscale frontal information existing in the high-resolution satellite images, which employs the sliding-window thresholds to sift for the candidate frontal pixels and a set of morphological operations to then generate more continuous frontal zones and lines. Compared with the two commonly used gradient and population-based algorithms, statistical analysis indicates that a great majority of fronts identified by the existing algorithms are detected by the use of a SWTA, while the SWTA detects more fronts that were ignored by them. Visual and statistical analyses, together with some known fronts, suggest that SWTA seems to be as insensitive to gradient variations as the population-based algorithms are and they have the same merits as the gradient-based algorithms in the ability to identify coastal or complex fronts. The application, based on 14,245 SST images from 1982 to 2020, shows the global distribution patterns of frontal occurrence and intensity, with some well-known persistent fronts reappearing in the extensions of the western boundary currents and Antarctic circumpolar currents that are not clearly defined in the global probability maps generated with the previous algorithms. In addition, similar seasonal variations in the frontal occurrence are found in the five western boundary current/extension areas and the four eastern upwelling systems, reaching a peak intensity during the warm season and a minimum intensity during the cold season. The information on the mesoscale fronts detected by SWTA would be potentially useful for better understanding of the ecological and climatic effects of front dynamics and in the predicting of the distribution of fish species and other marine organisms in a changing climate.

Spatial distribution of optical intensity of overgrown semi-polar (20-21) InGaN/GaN multiple quantum wells dominated by surface morphology

Polarized optical emission has been widely reported in semi-polar emitters as a result of the separation of the topmost valance bands. Simultaneously, semi-polar emitters exhibit isotropy in the spatial distribution of optical intensity, which is attributed to the influence of the surface morphology and the configuration of the underlying templates for overgrowth. This paper reports that a peanut-like pattern of intensity distribution has been observed in the semi-polar (20-21) sample, where most of the emitted light is located in the [11-20] direction. Compared with the bottom air voids formed during overgrowth, it can be seen that surface morphology plays a dominant role in affecting the spatial distribution of the optical intensity of the overgrown semi-polar (20-21) sample. With different surface height deviations, the spatial pattern could be tuned from sideward emission to a rectangular-like pattern. These results will promote the development of polarized light sources with great potential in the application of near-eye displays.

Satellite Imagery Recording the Process and Pattern of Winter Temperature Field in Yangtze Estuary Interrupted by a Cold Wave

Sea surface temperature (SST) is a key marine ecological metric. An optimized split-window algorithm was used to invert the Yangtze Estuary’s temperature field during a cold wave process. Additionally, MODIS SST inversion results were used to explore the effects of typical cold waves on the Yangtze Estuary’s temperature field through the application of a temperature profile analysis method and a multiscale, multidirectional edge detection algorithm. According to the findings, (1) the cold wave altered the temperature field characteristics and the temperature front intensity, morphology, and spatial distribution pattern within the Yangtze Estuary for a short period. The strong temperature front displayed irregular edges and scattered patterns due to the combined effects of cold water masses produced by the cold wave and the tides and the warm water currents outside the mouth. (2) The cold wave caused significant short-term deviations in the Yangtze Estuary’s SST. The cold water tongue stretched across the entire Yangtze Estuary, where the temperature dropped sharply with time, with the maximum cooling occurring outside the mouth, at 12.2 °C, and the minimum cooling occurring inside the mouth, at only 5.5 °C. (3) The spatially gradual warming of the Yangtze Estuary’s SST from inside to outside the mouth became a low–lower–high pattern during cold waves. (4) The cold wave exhibited a greater influence on the strength, form, and distribution of the temperature front. Studying the effects of cold waves on the Yangtze Estuary’s temperature field has significant theoretical and practical implications for understanding the changes in the winter temperature field, environmental protection, disaster mitigation, and prevention.

Abstract No. 51 Differentiation of Irreversible Electroporation Regions in Normal and Tumor Tissues Using MRI Textures

Irreversible electroporation (IRE) is a promising tissue ablation technique for liver cancer patients unsuitable for surgical resection or liver transplantation. The main clinical challenge in IRE ablation is differentiating IRE ablation zones for immediate assessment. Here, we investigated the reproducibility of radiomic analysis of conventional T1w MRI data acquired from liver tumors and normal liver tissues for assessment of IRE outcomes. IRE ablation was performed on twenty-six rabbits' normal liver or tumors. Anatomical and perfusion MRI data were acquired immediately after the completion of the procedure. IRE and RE zones were outlined on perfusion MRI data with histology validation and mask images were translated to T1w images. T1w MRI data were normalized using three levels to examine the effects of different image specificity (8, 16, and 32) while determining the characteristic patterns related to IRE ablation. At each specificity level, quantitative imaging features were computed by analyzing intensity distribution and textural patterns. The relevant variables were identified by following a multi-step feature selection framework that integrates pairwise likelihood, analysis, and LASSO. Multiple classification models were generated using logistic regression, nonlinear support vector machines, and random forest (RF) with a five-fold cross-validation approach. The accuracy, sensitivity, specificity, and receiver operating characteristic (ROC) curves were employed for the evaluation of the developed classification methods. Random forest classification models outperformed logistic regression and support vector machine models. In terms of image specificity levels, the images sampled with sixteen intensity levels facilitated the most accurate and robust performance compared with images with lower and higher details. The random forest classifier equipped with features computed from images with sixteen levels obtained a training accuracy of 90.86% and a validation accuracy of 81.09% for T1w images. The model sensitivity was 92.33% and 81.33%, and specificity was 89.33% and 80.67% for training and validation sets, respectively. Moreover, we recorded the area under the ROC curve as 97.86% for training and 89.47% for the validation cohort. T1w MRI radiomic features reveal IRE ablation-related effects performed on normal liver and tumor tissues, which demonstrates the potential benefit of quantitative analysis of conventional MRI data for immediate assessment of IRE ablation zones in other solid cancers.

3D single shot lensless incoherent optical imaging using coded phase aperture system with point response of scattered airy beams

Interferenceless coded aperture correlation holography (I-COACH) techniques have revolutionized the field of incoherent imaging, offering multidimensional imaging capabilities with a high temporal resolution in a simple optical configuration and at a low cost. The I-COACH method uses phase modulators (PMs) between the object and the image sensor, which encode the 3D location information of a point into a unique spatial intensity distribution. The system usually requires a one-time calibration procedure in which the point spread functions (PSFs) at different depths and/or wavelengths are recorded. When an object is recorded under identical conditions as the PSF, the multidimensional image of the object is reconstructed by processing the object intensity with the PSFs. In the previous versions of I-COACH, the PM mapped every object point to a scattered intensity distribution or random dot array pattern. The scattered intensity distribution results in a low SNR compared to a direct imaging system due to optical power dilution. Due to the limited focal depth, the dot pattern reduces the imaging resolution beyond the depth of focus if further multiplexing of phase masks is not performed. In this study, I-COACH has been realized using a PM that maps every object point into a sparse random array of Airy beams. Airy beams during propagation exhibit a relatively high focal depth with sharp intensity maxima that shift laterally following a curved path in 3D space. Therefore, sparse, randomly distributed diverse Airy beams exhibit random shifts with respect to one another during propagation, generating unique intensity distributions at different distances while retaining optical power concentrations in small areas on the detector. The phase-only mask displayed on the modulator was designed by random phase multiplexing of Airy beam generators. The simulation and experimental results obtained for the proposed method are significantly better in SNR than in the previous versions of I-COACH.

Production and Characterization of Helical Beams by means of Diffraction Gratings

A description of the intensity distribution patterns of helical beams experimentally generated by forked diffraction gratings is presented. The characterization of the diffraction orders so obtained, using double diffraction gratings as well as the reconstruction of the 2D intensity profiles, is also discussed.

Development and substantiation of the electrodynamic parameters of a continuous operation radio wave installation for the heat treatment of eggs

Introduction. The existing methods of cooking eggs in water and with steam have a high energy intensity. Currently, the problem of continuity of the technological process is still not solved. That is why, in order to reduce energy consumption, reduce water consumption and intensify the process of heat treatment of eggs, we consider it relevant to use the energy of the electromagnetic field of super high frequency (SHFEMF) in a special temperature regime without using water.Methodology. Three-dimensional modeling of the installation was carried out in the Compass 18.0 program, the justification of the heat treatment modes was carried out by analytical methods, to identify the optimal parameters (energy consumption and temperature regime) of the proposed installation, second-degree least squares polynomials were used, in particular, a rotatable second-order planning matrix, statistical analysis of the matrix was carried out in a software package for statistical analysis Statistica 12, confirmation of analytical data with empirical data was carried out in the CST Microwave Studio program for three-dimensional modeling of electromagnetic field propagation processes in the Eigenmode calculation module, where patterns of electric and magnetic field intensity distribution in a spherical resonator were studied.Results. The structural design of the conveyortype radio wave installation allows for heat treatment of eggs when moving in dielectric cups through slotted spherial resonators. The borehole of the process is less than 0.5 due to the location of the cups in the resonators and between them in relation 4:9. The value of the resonator's own Q-factor reaches 8800. The visualization in the program shows a uniform distribution of the electric field in the resonator, with a voltage of 1.5–3 kV/cm, which ensures high sterility of the product. From the regression models compiled on the basis of the matrix of rotatable planning of the second-order experiment, it follows that the effective duration of exposure to EMF is 154 s, the specific energy costs are equal to 143 Wh/kg. The speed of rotation of the conveyor gear motor is 0.4 rpm.

Experimental study on laser propagation characteristics in local air turbulence disturbed by coherent acoustic waves

The existence of atmospheric turbulence seriously restricts the application of laser technology. However, the acoustic wave will affect the air density during the propagation process, change the original structure of the air turbulence, and then affect the propagation of the laser in the air turbulence. To study the effect of disturbance of atmospheric turbulence by acoustic waves on laser propagation, the propagation characteristics of lasers in local atmospheric turbulence under coherent acoustic wave perturbation are investigated experimentally. First, a coherent acoustic wave generator and a closed local air turbulence simulation device are designed. The propagation experiments of laser in a closed local air turbulence environment disturbed by coherent acoustic waves are carried out. It is found that the coherent acoustic wave will interfere with the wave reflected from the inner wall of the closed local air turbulence simulation device, and the sound pressure forms a regular standing wave intensity distribution pattern. Moreover, the variations of laser beam drift fluctuation variance, scintillation index, and beam diameter with coherent acoustic wave frequency, power, and sound source array position are studied. The results show that the original structure of air turbulence will be changed in the process of coherent acoustic wave propagation, which will affect the beam drift fluctuation variance, scintillation index, and beam diameter changes of laser propagation in air turbulence. The beam drift fluctuation variance, scintillation index, and beam diameter change regularly with the change of the frequency and power of the sound source. Changes of the fluctuations with frequency are relatively gentle, whereas changes with power are severe. This paper explores the influence of coherent acoustic waves disturbing air turbulence on laser propagation characteristics, and the research results provide a basis for improving or disturbing laser propagation performance in atmospheric turbulent environments.

Chirality and frequency measurement of longitudinal rolling of human sperm using optical trap.

Motility is one of the most critical features to evaluate sperm quality. As longitudinal rolling of human sperm has long been ignored until recently, its detailed dynamics and cellular biological mechanisms are still largely unknown. Here we report an optical-tweezers-based method to evaluate the chirality and frequency of sperm rotation. According to the intensity distribution patterns of off-focus micron-size particles, we established a method to judge the orientation of the sperm head along the optical axis in the optical trap. Together with the rotation direction of the projection of the sperm head, the chirality of longitudinal rolling of sperm can be measured without the application of three-dimensional tracking techniques or complex optical design. By video tracking optically trapped sperm cells from different patients, both rolling chirality and rolling frequency were analyzed. In this study, all the vertically trapped human sperm cells adopt a right-hand longitudinal rolling. The orientation and rolling frequency but not the rolling chirality of sperm in the optical trap are affected by the trap height. The rotation analysis method developed in this study may have clinical potential for sperm quality evaluation.

Modeling of Daytime and Nighttime Surface Urban Heat Island Distribution Combined with LCZ in Beijing, China

Along with urbanization, surface urban heat island (SUHI) has attracted more attention. Due to the lack of perspective of spatial heterogeneity in relevant studies, it is difficult to propose specific strategies to alleviate the SUHI. This study discusses the impact of spatial heterogeneity on the day and night SUHI by taking one day and night in Beijing as an example, and uses it to improve the efficiency of SUHI simulation for related planning. This study, based on the local climate zone (LCZ), deeply discusses the relationship between urban morphology and the SUHI. Then, an artificial neural network (ANN) model with the LCZ is developed to predict the distribution of the SUHI. The results show that: (1) In summer, the general SUHI intensity distribution patterns are compact zone > large low-rise zone > open zone and medium floor zone > low floor zone > high floor zone. (2) Building density and albedo in dense areas are higher correlated with the SUHI than open areas. The building height has a significant negative correlation with the SUHI in high-rise zone, but has a positive correlation in middle and low floors. (3) The LCZ improves the overall accuracy of the ANN model, especially the simulation accuracy in the daytime. In terms of regions, LCZ2, LCZ8, and LCZ10 are improved to a higher degree. This study is helpful to formulate the SUHI mitigation strategies of “adapting to the conditions of the LCZ” and provide reference for improving the sustainable development of the urban thermal environment.

Comparison of temperature, current density, and light intensity distributions of nano-resistor patterns for an improved solid state incandescent light emitting device simulation model

The solid-state incandescent light-emitting device is an emerging optoelectronic device that is made on a silicon wafer using IC compatible materials and processes. Light emission takes place by thermal excitation of numerous nano-sized, high-resistivity conductive paths, i.e., nano-resistors, formed from the dielectric breakdown of an MOS capacitor. A simulation method that uses comsol multiphysics, python, and matlab to predict the temperature, current density, and light intensity distributions of various nano-resistor patterns in the device is presented. The Joule heating and blackbody radiation effects are correlated to the temperature and light emission profiles. The effect of mesh quality and depth on these distributions is also investigated. Electrical and optoelectronic properties of the nano-resistors calculated from this new program are consistent with the experimental results.

IDA-Net: Intensity-distribution aware networks for semantic segmentation of 3D MLS point clouds in indoor corridor environments

• An intensity-distribution aware (IDA) descriptor to mine the intensity information. • A prior mask to describe the intensity-distribution pattern. • A two-stage embedding strategy to improve the performance of fusing different information. Semantic segmentation of 3D mobile laser scanning point clouds is the foundational task for scene understanding in several fields. Most existing segmentation methods tend to simply stack the common point attributes, such as the coordinates and intensity, but ignore their heterogeneous. This paper presents IDA-Net, an intensity-distribution aware network that mines the uniqueness and discrepancy of these two modalities in a separate way for point cloud segmentation under indoor corridor environments. Specifically, IDA-Net consists of two key components. Firstly, an intensity-distribution aware (IDA) descriptor is proposed to mine the intensity distribution pattern. It outputs a multi-channel mask for each point to represent the intensity distribution information. Secondly, a two-stage embedding network is designed to fuse the coordinates and intensity information efficiently. It includes a guiding operation in training stage and a refining operation in testing stage. IDA-Net was evaluated on two indoor corridor areas. Experimental results show that the proposed method significantly improves the performance of segmentation. Specifically, with backbone of KPConv, IDA-Net achieves high mIoU of 90.58% and 88.94% on the above two testing areas respectively, which demonstrates the superiority of the designed IDA descriptor and two-stage embedding network.

Computer simulation of the stress-strain state of plates with reinforced elongate rectangular holes of various orientations

The results of numerical investigation of the stress-strain state of elastic rectangular plates with reinforced elongated holes under the action of axisymmetric tensile forces are presented. The holes have different orientations relative to the direction of forces, the materials of the plate and reinforcements are different too. Computer modeling was carried out using the finite element method. The influence of mechanical and geometrical parameters of plates and reinforcements, orientation of holes (angle of rotation relative to the direction of action of forces) on the stress-strain state of the plate are studied. The dependence of the change in the stress concentration factor in the plate on the orientation of the hole, the ratio of the elastic modulus of the plate materials and reinforcements (the elastic modulus of the reinforcement material is 3 times greater (or less) than the elastic modulus of the plate material) has been established. Plates with holes located at angles of 60°, 45° and 30° in the direction of the load are modeled. It is shown that a good choice of geometric and stiffness characteristics of the parameters of reinforcement, plate and elongate hole orientation can significantly reduce the stress concentration in the plate. Patterns of stress intensity distribution in the plate sections passing along one of the hole sides and stress concentration in the vicinity of the corner points of the holes are constructed. The results obtained in this work can be used to solve the problems of optimization of thin-walled rectangular plates with elongated holes, having strip reinforcement along the edges.

Spatial and temporal variations of rainfall erosivity in the middle Yellow River Basin based on hourly rainfall data

Understanding spatial and temporal variations in rainfall erosivity is essential for estimating the variability in soil erosion. However, rainfall erosivity in the middle Yellow River Basin is usually calculated based on daily rainfall data, which fails to consider the impact of the changing rainfall intensity at the subdaily scale. In this study, we collected hourly rainfall data from 355 meteorological stations within and around the region to calculate rainfall erosivity during 1960–2017. We found that the rainfall erosivity calculated based on hourly data had much larger variability than that calculated based on daily data, and the calculated spatial and temporal variability were substantially different in periods when the rainfall intensity was highly variable. Based on our new estimation, we found that the spatial distribution of rainfall erosivity was highly heterogeneous, with high erosivity values in the Loess Regions and Rocky Mountain Regions with high soil erodibility and low erosivity values in the Aeolian Regions and Soft Sandstone Regions with low soil erodibility. This heterogeneity was mainly due to the distinct spatial distribution patterns of rainfall amount and rainfall intensity. Although the long-term increasing trend of rainfall erosivity was statistically insignificant from 1960 to 2017, its rate of increase was higher than that of the annual rainfall amount. Decadal changes showed a slight decrease from the 1960 s to the 1980 s and an increase since the 1990 s, which was substantially different from the decadal changes in the annual rainfall amount. These differences in temporal variability were mainly caused by the contribution of changing rainfall intensity, which was greater in the Aeolian Regions and Soft Sandstone Regions than in the other subregions. Our study highlighted the importance of considering the changing rainfall intensity at a subdaily scale in semiarid and semihumid climate zones and provided the first estimation of the long-term variability in rainfall erosivity based on hourly rainfall data in this region.

Energy flow inversion in an intensity-invariant focusing field.

Dependence of light intensity on energy flow is the most intuitive presentation of an optical field. This dependence, however, also limits the applications to the interaction of the light field with matter. For further insight into this, we demonstrate a novel case of the optical field, named as the counterintuitive chiral intensity field (CCIF), in the highly focusing situation: the energy flow reverses during the propagation but the intensity distribution pattern is kept approximately invariant. Our results show that, in this process, the mode correlation decreases rapidly while the intensity correlation remains invariant in the focus area. Furthermore, this property is still valid even if the pattern helicity and number of spiral arms are changed. This work deepens the understanding of the relationship between energy flow and field intensity, and it will offer diversified operations in many applications, such as optical micromanipulation, optical fabrication, etc.