Interval Distance Research Articles

Application of roadside air purifiers in urban street canyons: A pilot-scale study in Hong Kong

The implementation of roadside air purifiers has emerged as an effective active control measure to alleviate air pollution in urban street canyons. However, technical questions raised under real conditions remain challenging. In this study, we conducted a pilot-scale investigation involving seven units of self-designed roadside air purifiers in an urban street canyon in Hong Kong. The air cleaning effects were quantified with an air quality sensor network after rigorous quality control. The removal efficiencies of Nitrogen dioxide (NO2), Fine suspended particulates (PM2.5), Carbon monoxide (CO), and Nitric oxide (NO) were determined by comparing with simultaneously measured ambient concentrations, with hourly average efficiencies of 14.0 %–16.9 %, 3.5–10.0 %, 11.9 %–18.7 %, and 19.2 %–44.9 %, respectively. Generally, the purification effects presented variations depending on the ambient pollutants' levels. Higher ambient concentrations of NO2, PM2.5, CO correlated with increased purification effects, while NO presented the opposite trend. The influence of interval distance combined with spatial distribution indicated the operation of purifiers will induce local NO2 attenuation even at an interval distance of four meters. Statistical analysis delivered evidence the air cleaning ability exhibited optimal performance when relative humidity level is ranged from 70 % to 90 %, aligning with the prevailing conditions in Hong Kong. Additionally, improved purification effects were observed at the downwind direction, and their performance was enhanced when the wind speed exceeded 2.5 m/s. Moreover, we estimated the operational lifetime of the air purifiers to be approximately 130 days, offering crucial information regarding the filter replacement cycle. This work serves as a pioneering case study, showcasing the feasibility and deployment considerations of roadside air purifiers in effectively controlling air pollution in urban environments.

New Interval Improved Fuzzy Partitions Fuzzy C-Means Clustering Algorithms under Different Distance Measures for Symbolic Interval Data Analysis

Symbolic interval data analysis (SIDA) has been successfully applied in a wide range of fields, including finance, engineering, and environmental science, making it a valuable tool for many researchers for the incorporation of uncertainty and imprecision in data, which are often present in real-world scenarios. This paper proposed the interval improved fuzzy partitions fuzzy C-means (IIFPFCM) clustering algorithm from the viewpoint of fast convergence that independently combined with Euclidean distance and city block distance. The two proposed methods both had a faster convergence speed than the traditional interval fuzzy c-means (IFCM) clustering method in SIDA. Moreover, there was a problem regarding large and small group division for symbolic interval data. The proposed methods also had better performance results than the traditional interval fuzzy c-means clustering method in this problem. In addition, the traditional IFCM clustering method will be affected by outliers. This paper also proposed the IIFPFCM algorithm to deal with outliers from the perspective of interval distance measurement. From experimental comparative analysis, the proposed IIFPFCM clustering algorithm with the city block distance measure was found to be suitable for dealing with SIDA with outliers. Finally, nine symbolic interval datasets were assessed in the experimental results. The statistical results of convergence and efficiency on performance revealed that the proposed algorithm has better results.

Study on the optimization of the integration path between animation design and cultural and creative industries in the information era

Abstract This paper aims to promote the integration of animation design and cultural and creative industries. The shape gradient algorithm is used to analyze the features of the animated shapes. The corresponding interval distance of anime shapes is determined by calculating the curve sampling points of anime feature points. The deformation framework is created, and a sequence of anime shapes is generated using the linear interpolation method. In the deformation of anime design, the role of three algorithms, namely image segmentation module, association map of attributes, and mathematical description of EMD, on its generation is focused on the analysis. The results show that anime users from post-00 and post-10 are more inclined to anime peripherals, accounting for 30% and 35%, respectively. The annual growth rate of anime peripheral is 90.2%, and the annual growth rate of the overseas anime market is also gradually increasing, reaching a growth rate of 103.1%. A successful anime IP will certainly influence the development of its anime and cultural creation industry. The research in this paper is conducive to promoting better integration of animation design and cultural and creative industries and promoting the development of an innovation economy.

Damage on asphalt surfaces caused by ionic solution erosion and salt crystallization at molecular scale

The damage mechanism of severe salt corrosion on asphalt surfaces should be revealed at molecular scale. This study utilized molecular dynamics (MD) and density functional theory (DFT) simulations to investigate damage degree and mechanism of ionic solution erosion and salt crystallization on asphalt surfaces. Various asphalt-solution and asphalt-salt interfaces models were built, while interfacial interaction, diffusion, adhesion, and electronical properties were calculated. The electrostatic interaction played a critical role both in solution-asphalt and crystal-asphalt systems, particularly between anions and asphalt. All ions adsorbed onto unaged asphalt surfaces and eroded into unaged asphalt interiors while only cations penetrated into aged asphalt due to electronical repulsions between anions and SO/CO, indicating cation erosion contributed more to salt damage during aging. Salt crystals participated and expanded on asphalt surfaces, resulting in micro-cracks and micro-voids. Sulfates adhered asphalt more than chlorides because sulfates had closer interval distance and larger free volumes with asphalt. Asphalt molecules with high polarity and more charge were more susceptible to interact by ions. The salt damage on asphalt mainly included solution perpetration and crystal adhesion. The order of salt damage of cations to asphalt is: Mg2+ > Na+ > Ca2+, and of anions is: SO42− > Cl−.

Heritage applications of landscape design in environmental art based on image style migration

To create environmental art on the basis of preserving environmental and ecological resources, landscape design considers the peaceful coexistence of art and ecology. In picture generation and rendering for landscape design, image style migration techniques are frequently employed, however their quality is still lacking at this point. In order to enhance the migration effect, the study builds an image style migration model for landscape design, tries to employ a multi-scale discriminator, and introduces a content feature mapping module and a migration learning approach. According to the test results, adding the content feature mapping module enhanced the feature mapping effect of the photographs. The revised model's peak signal-to-noise ratio and similarity assessment indexes were 17.42 and 0.91, respectively, and the model's generated images were less distorted. While the Frey interval distance was only 16.32 and the generated images were strongly correlated, the model had good generalisation. The addition of migration learning somewhat improves all of the measures. In conclusion, the research findings are beneficial for the expression of environmental art in landscape design, and the model's picture creation assessment index and stability are both good.

A Method to Evaluate the Reduction Difficulty of Atlantoaxial Dislocation Based on Computed Tomography Quantitative Analysis

To evaluate the difficulty of reduction of congenital atlantoaxial dislocation with or without os odontoideum or basilar invagination based on computed tomography (CT) quantitative analysis. From March 2018 to December 2022, the CT features of 108 patients with atlantoaxial dislocation with or without os odontoideum or basilar invagination were analyzed. Quantitative scores were defined according to imaging features, including sloping of the lateral mass; osteophyte between the lateral mass joint; ball-and-socket deformity of the lateral mass joint; vertical interlocking of the lateral mass joint; callus between the lateral mass joint; and atlanto-odontoid joint hyperplasia, blocking, or fusion. Grades were calculated according to the sum of points of the atlanto-odontoid joint and lateral mass joints, as follows: I, 0-1 points; Ⅱ, 2-3 points; Ⅲ, 4-6 points; IV, 7-10 points. After 1 week of bidirectional cervical traction, CT scans were performed, and atlantodens interval and vertical distance from dens to Chamberlain line were measured. The vertical reduction rate, horizontal reduction rate, and overall reduction rate of atlantoaxial dislocation were calculated. The vertical distance from dens to Chamberlain line values after traction were significantly reduced compared with before traction, including grades I, II, III, and IV. The overall reduction rates were 85.1% ± 11.8%, 65.8% ± 8.3%, 45.0% ± 8.5%, and 38.4% ± 13.0% respectively, after 1 week of bidirectional cervical traction. The CT quantitative score system is an effective noninvasive evaluation to judge the reduction difficulty of atlantoaxial dislocation with or without os odontoideum or basilar invagination.

Characteristics of cavity dynamics, forces, and trajectories on vertical water entries with two spheres side-by-side

In the present work, a three-dimensional numerical model with six-degrees-of-freedom is adopted to carry out the investigation of twin water entries with two spheres side-by-side. The shear-stress transport k–ω model is used to detail the turbulence structure, and the air–water interface is tracked through the volume of fluid method. The motion of consecutive water entry with spheres is simulated using an independent overset grid technology. Numerical results reveal the variation of different kinds of lateral forces experienced by the trailing sphere following water entry, while simultaneously clarifying the governing law regarding the effects of time interval, lateral distance, and entry velocity on the trajectory behaviors. The repulsive and attractive forces are found upon the trailing sphere (sphere II) entering water, inducing different deviation directions, which are affected by the time interval and lateral distance. In addition, increasing water-entry velocity results in an increase in both attractive and repulsive force acted on sphere II; notwithstanding, the effect of repulsive force on trajectory characteristics is more noticeable.

Comparative evaluation of radiation detection capabilities of CsPbI2Br and CsPbIBr2 materials for the development of QA relative dosimeter for brachytherapy

High-dose-rate brachytherapy is a cancer treatment that intensively irradiates tumors by inserting radioactive isotopes with high dose rates into the body. For this treatment, it is necessary to deliver an appropriate dose to the tumor tissue through an accurate treatment plan but only deliver the minimum dose to the normal tissue. Therefore, it is imperative to verify the positional accuracy of the source through accurate quality assurance (QA) in clinical practice. However, in clinical practice, the position of the source is visually determined using rulers, automatic radiographers, video monitors, and other devices, yielding inaccurate results. In this study, a semiconductor dosimeter using either CsPbI2Br or CsPbIBr2 was manufactured. The radiation detectability of both materials was tested and compared to evaluate which of the two materials would be more suitable as the QA relative dosimeter for brachytherapy. The reproducibility, linearity, and percentage interval distance (PID) of the two materials were analyzed to evaluate the radiation detectability and applicability of the relative dosimeter. In the reproducibility evaluation, the relative standard deviation (RSD) of CsPbI2Br was 0.98%, and the RSD of CsPbIBr2 was 3.45%. In the linearity evaluation, the coefficient of determination (R2) of CsPbI2Br was 0.9998, and the R2 of CsPbIBr2 was 0.9994. In the PID evaluation, both materials showed an exponential and constant decrease in measured signal sizes as the distance from the source increased. As a result of the evaluations, the CsPbI2Br dosimeter showed greater stability in detecting radiation and satisfied the evaluation criteria. In conclusion, CsPbI2Br shows promise as a digital relative dosimeter for brachytherapy QA.

Controlling self-healing of optical field based on moiré dual-microlens arrays

Optical self-healing is a repairing phenomenon of a beam in the propagation, as it is perturbed by an opaque object. In this work, we demonstrate experimentally and theoretically that the moiré distributed dual-microlens array enables to generate optical fields with better healing ability to withstand defects than their counterparts of a single microlens array. By utilizing the double parameter scanning method, the self-healing degree of the optical field is significantly affected by both the interval distance and the relative angle of the dual-microlens arrays. The self-healing level is decreased significantly by lengthening the interval between the two microlens array with a small twist angle, while increasing the angle enhances the self-healing degree. Further study manifests the self-healing process with respect to the size and central location of the obstacle. The research results provide a simple and effective method to generate self-healing optical wave fields, which have potential applications including optical communication, assisted imaging technology, and even intense laser physics.

Ranking of Fuzzy Numbers on the Basis of New Fuzzy Distance

Real-world problems often deal with uncertainties related to imprecision and vagueness, for which fuzzy modeling has provided a successful approach. Ranking fuzzy numbers is a necessary and complex task in multiple processes, such as decision making. To facilitate the task of ranking fuzzy numbers, it has been introduced an approach to construct fuzzy distances from classical interval distances because their α-cuts are continuous intervals. Usually, extant interval distances use interval endpoints or midpoints, leading to results that might not reflect the correct distance because of information loss. This paper introduces a new fuzzy distance based on a novel interval distance that considers all points within the intervals by using the concept of integration to calculate the average distance between all points belonging to two intervals, respectively. Subsequently, a series of distances between fuzzy numbers based on the proposed interval distances are defined and proved. A new method for ranking fuzzy numbers using the new fuzzy distances is then presented. Finally, the validity and effectiveness of the proposed distances will be demonstrated by a comparative analysis of numerical examples.

Paper 59: No Difference in Post-Operative Outcomes for High-Grade Acromioclavicular Joint Surgery Performed Acutely vs Chronically

Objectives: There have been no large studies that directly compare long term outcomes in patients with Rockwood grade III-V acromioclavicular (AC) joint separations treated with acute vs. chronic repair. Therefore, the purpose of this study was to compare post-operative outcomes between patients who undergo high-grade AC joint surgery acutely (<6 weeks) vs chronically (>6 weeks). Methods: A list of all AC joint surgery patients from 2010-2019 was obtained from the medical records. Chart review was conducted to determine patient demographics, time from injury to surgery, injury grade, and surgical technique, as well as outcomes and complications of AC joint surgery. Post-operative American Shoulder and Elbow Surgeons (ASES) and Single Assessment Numeric Evaluation (SANE) scores were also collected via RedCap. Patient radiographic outcomes were retrospectively reviewed by reviewing preoperative, immediate postoperative, and follow-up AP views of the operative shoulder and measuring the coracoclavicular (CC) interval distance. Loss of reduction was defined as a follow-up change of greater than 5 mm from the immediate post-operative radiographs measurement. Several multivariate analyses were conducted with post-operative ASES, SANE, and CC distance as the outcomes of interest in order to account for demographic differences between groups. Results: Overall, 225 patients (113 acute, 112 chronic) were included in this study with an average follow-up of 3.5±2.8 years, average age of 40±15 years, and 86% being male. Patients in the acute group underwent surgery 2 ± 1 weeks after initial injury while patients in the chronic group underwent surgery 42 ± 35 weeks after injury. Significant differences in patient age, BMI, injury grade, surgical technique utilized, and pre-operative CC distance were observed between groups (all p<0.05) (Table 1). Rates of revision, loss of reduction, infection, fracture, and total complication rate, as well as post-operative ASES scores did not differ between groups. Patients treated acutely had a lower rate of loss of reduction (1.8mm v. 3.2mm, p=.044), a larger decrease in CC distance at latest follow-up compared to pre- operatively (11.8mm v. 9.0mm, p =.002), and better SANE scores (85.5 v. 75.5, p=.032). All other post- operative outcomes did not differ between groups. After controlling for confounding variables such as age, sex, BMI, injury grade, surgical technique, and time from injury to surgery, multivariate analysis found that female patients had lower ASES scores than male patients, while all other variables did not significantly relate to ASES score, SANE score, or post-operative CC distance (Table 2). Conclusions: Patients who underwent AC joint surgery acutely (<6 weeks) had similar post-operative outcomes to patients who underwent surgery chronically (>6 weeks) after initial injury. Multivariate analysis found that time from injury to surgery did not affect post-operative ASES scores, SANE scores, or post-operative CC distance. [Table: see text][Table: see text]

Quality influencing factors of dispersion curves from short period dense arrays based on a convolutional neural network across the north section of the Xiaojiang fault area

The number of dispersion curves increases significantly when the scale of a short-period dense array increases. Owing to a substantial increase in data volume, it is important to quickly evaluate dispersion curve quality as well as select the available dispersion curve. Accordingly, this study quantitatively evaluated dispersion curve quality by training a convolutional neural network model for ambient noise tomography using a short-period dense array. The model can select high-quality dispersion curves that exhibit a ≤ 10% difference between the results of manual screening and the proposed model. In addition, this study established a dispersion curve loss function by analyzing the quality of the dispersion curve and the corresponding influencing factors, thereby estimating the number of available dispersion curves for the existing observation systems. Furthermore, a Monte Carlo simulation experiment is used to illustrates the station-pair interval distance probability density function, which is independent of station number in the observational system with randomly deployed stations. The results suggested that the straight-line length should exceed 15 km to ensure that loss rate of dispersion curves remains < 0.5, while maintaining the threshold ambient noise tomography accuracy within the study area.

Molecular landscape on electrosorption improving the desalination performance using a mixed graphene oxide/graphene nitride membrane

Electrosorption is an alternative strategy for seawater desalination, which consist in the effective ions separation from seawater to achieve abundant freshwater. However, the molecular landscape of the electrosorption associated with desalination is not fully understood. In this work, we employ a graphene oxide/graphene nitride (GO/GN) membrane to investigate the role of electrosorption in regulating desalination, accompanied by exposing the corresponding molecular mechanism. Our results show that the electric field is capable of intensifying the adsorption of ions inside the GO and GN sheets interiors that composed the desalination membrane filter. Electrosorption induces the robustly strengthened salt rejection, while mildly interfering with the water permeability, indicating that electrosorption increases the desalination performance by improving the salt rejection capacity of the membrane filter rather than enhancing the water permeability. In addition, by evaluation different values of the interval distance, the interlayer spacing, and the applied electric field, optimal parameters for the desalination process are proposed. Therefore, our study exhibits an in-depth molecular mechanism of the critical electrosorption in advancing desalination performance, which is beneficial for an efficient utilization of electrosorption in future desalination application.

The Concept of Harmony and Modulation in Kwanji Sempidi's Gambang

Gamelan Gambang is a Balinese musical ensemble that has a unique and distinctive characteristic of its musicality. Gamelan Gambang belongs to gamelan saih pitu (seven notes), where in one octave the tone consists of seven principal notes. Each of the instruments in the Gambang Kwanji Sempidi gamelan has a different concept of tone harmonization and tone modulation. The method used in this study uses a type of qualitative descriptive research method through data collection using observation, interview, discography, and documentation methods. While measuring the frequency of the tone using the Curltone application tool. Through this method, in the Gambang Kwanji Sempidi gamelan, harmony appears in the arrangement of the Gambang tones on each Gambang instrument. Harmony is related to the interval or pitch distance. The pitch distance between dAng (A) and dang (a) is called ngembat or octave, the distance between dAng (A) and dEng (e) is called ngepat or ngempyung (kwint), while the distance between dAng (A) and dOng (o) tones called nelu or quart. If they are hit together in one tone simultaneously, four forms of tone harmonization patterns occur (nelu, ngepat, and ngembat). The harmony playing pattern on the xylophone is supported by the gambang beater (panggul) which has been set in such a way. The xylophone panggul has a different distance between the right and left pairs of mallets. The left pair spans four notes, while the right pair spans five notes. The Gambang Kwanji modulation system, namely the transition from one basic tone to another, is called Sengkeran. In the game, there is a change of one note in the order of the notes used. This sengkeran is found in the Gambang Labdha and Manukaba songs.

Legislative Gridlock and Policymaking Through the Appropriations Process

Divergent preferences within and across American lawmaking institutions make it difficult to enact legislation. Yet, individual legislators and parties have incentives to effect policy change, even during periods of gridlock. We claim appropriations offer an alternative means of policymaking when legislation is likely to be unsuccessful using authorizations because appropriations bills have an extreme reversion point. Using an original dataset of appropriations laws, we measure the quantity of policy enacted given distributions of House, Senate, and executive preferences. The findings show that a larger gridlock interval and greater distance between the House and Senate medians promote the use of appropriations bills as substantive policymaking vehicles. This effect is especially pronounced when new chamber majorities come to power. We conclude that divergent preferences among lawmaking institutions affect legislative productivity, but winning coalitions can still make substantive policy changes using unorthodox lawmaking processes.

An Interval-Valued Three-Way Decision Model Based on Cumulative Prospect Theory

In interval-valued three-way decision, the reflection of decision-makers’ preference under the full consideration of interval-valued characteristics is particularly important. In this paper, we propose an interval-valued three-way decision model based on the cumulative prospect theory. First, by means of the interval distance measurement method, the loss function and the gain function are constructed to reflect the differences of interval radius and expectation simultaneously. Second, combined with the reference point, the prospect value function is utilized to reflect decision-makers’ different risk preferences for gains and losses. Third, the calculation method of cumulative prospect value for taking action is given through the transformation of the prospect value function and cumulative weight function. Then, the new decision rules are deduced based on the principle of maximizing the cumulative prospect value. Finally, in order to verify the effectiveness and feasibility of the algorithm, the prospect value for decision-making and threshold changes are analyzed under different risk attitudes and different radii of the interval-valued decision model. In addition, compared with the interval-valued decision rough set model, our method in this paper has better decision prospects.

Аналіз стану варіабельності серцевого ритму офіцерів оперативного рівня Збройних Сил України

the study of the adaptive capabilities of the cardiovascular system of servicemen of the Armed Forces of Ukraine requires a comprehensive study. this issue is relevant in the conditions of the legal regime of martial law. The purpose of the research was to study conditions of the regulatory mechanisms of the vegetativenervous system of servicemen in the conditions of the legal regime of martial law. to solve the defined goal, we conducted a study of a group of operational-level officers (n=201, the average age of the subjects was 36.4 years). the study was conducted using a multifunctional device “mPFI Rhythmograph-1”. Heart rate variability and the obtained results were processed using methods of mathematical statistics. The research’s results of heart rate parameters in operational-level officers were conducted on the basis of time, spectral and autocorrelation indicators. According to the results of the study, it was found that the sympathetic nervous system dominates in military personnel. this indicates a intensification of the autonomous regulation of heart rate. the obtained results of the heart rate variability of the operational-level officersindicate increasing of sympathetic influences, which may be related with increasing level of fatigue. the obtained results of spectral indicators showed the presence of extreme values in the ranges of 75 % percentile. this indicates a violation of metabolic and energy processes in the studied group. the study of the indicators of autocorrelation analysis helped us to obtain additional information about officers’ heart rate. the obtained median result is 0.810 units. this indicates a high degree of correlation between successive heart rate intervals with one interval distance. A correlation analysis was also conducted and it was determined that the median result is 19.0 pairs of intervals. Conclusions. the interpretation of the obtained results can be useful for studying the physiological condition of operational-level officers during combat missions. the results can be used to develop training programs. And this will help to reduce the impact of stress on the servicemen, to increase the adaptive capabilities and to monitor their functional conditions.

A Universal Aquaculture Environmental Anomaly Monitoring System

The current aquaculture environment anomaly monitoring system is limited in function, making it difficult to provide overall technical support for the sustainable development of aquaculture ecosystems. This paper designs a set for an IoT-based aquaculture environment monitoring device. The device is capable of collecting five aquaculture environment factors such as water temperature, pH, salinity, dissolved oxygen and light intensity throughout the day by wireless data transmission via 4G DTU with a communication success rate of 92.08%. A detection method based on time series sliding window density clustering (STW-DBSCAN) is proposed for anomaly detection, using the confidence interval distance radius of slope to extract subsequence timing features and identify the suspected abnormal subsequences and then further determine the anomalous value by the DBSCAN clustering method. The detection results show that the algorithm can accurately identify abnormal subsequences and outliers, and the accuracy, recall and F1-Score are 87.71%, 82.58% and 85.06%, respectively, which verifies the usability of the proposed method. Further, a fuzzy control algorithm is adopted to specify the warning information, and a software platform is developed based on data visualization. The platform uses WebSocket technology to interact with the server, and combined with the surveillance camera, it can monitor the aquaculture environment and perform data monitoring and analysis in a real-time, accurate and comprehensive manner, which can provide theoretical reference and technical support for sustainable development of aquaculture.

Trajectory tracking method based on Bayesian classifier for pulse array image sensor

A pulse array image sensor (PAIS) is a bionic image sensor that converts light intensity into a pulse sequence to reduce the data volume. The traditional tracking method is not suitable for the sparse data form because of the absence of grayscale information. A trajectory tracking method based on a Bayesian classifier is proposed to maximize the property of the pulse data. First, candidate points with the smallest interval distances are selected in the area of interest. Then the total pulse numbers in a specified period at different positions are gathered to compose the positive and negative feature vectors, which are used to train a naive Bayesian classifier. The classifier can exactly obtain positions from the candidate points, and features in the new tracking positions train and update the classifier. The two-step filtering target point tracking algorithm using the interval distance and Bayesian classifier requires only the raw pulse data without processing, which can maximize the advantages of the special data format and improve computing efficiency. In this way, the position information can be directly obtained from pulse data, and the problem of wasting computing resources on reconstructing grayscale images and treating them in the traditional way is avoided. Experiments were performed on both real filmed data and the public event camera datasets. Our method can obtain trajectories with a high accuracy and long tracking time. The tracking errors are in single digits. In the comparison experiments, although our method has a smaller data volume than other models that obtain both frame and event data, the results still show that it has a comparable performance to the state-of-the-art methods.

Coplanar Capillary Plasma Electrode Discharge Flat-Panel Lamps Based on Porous Anodic Alumina

A coplanar capillary plasma electrode discharge is a promising source owing to its superior performance. In this study, a coplanar capillary plasma electrode discharge flat-panel plasma lamp fabricated from porous anodic alumina and glass was designed to investigate its properties. Coplanar capillary plasma electrode discharge flat-panel lamps with porous anodic alumina dielectric layers were fabricated and investigated. Changing of the frequency and voltage of the power supply and altering of the thickness of the dielectric layers and the interval distance of the electrode were carried out to optimize the performance of the lamps by decreasing the spark-ignition voltage and enhancing the luminous efficacy. The luminance can exceed 7200 Cd/m2 and the white light flux efficacy is more than 4.92 lm/W. The discharge process of capillary plasma electrode discharge was modeled and simulated using COMSOL Multiphysics. The electron density and temperature were also analyzed. The results show that small plasma jets were produced at the pores of the porous anodic alumina, which helped stabilize the plasma. The voltage in the gas gap changes sharply with the geometry of the porous anodic alumina dielectric layer, leading to a higher electric field. The spark-ignition voltage decreased. Small plasma jets increase the plasma uniformity. The electron density and electron temperature reach approximately 1.94 × 108 m3 and 3.34 eV, respectively. A high electric field intensity produced at the porous anodic alumina validated the promising potential in related fields.