Parallel Path Research Articles

The Triple Synthesis of Rhythm

Stemming from a general study of rhythm in the work of Gilles Deleuze, we propose a distribution of this concept throughout three levels: a topic level, in which we place rhythm between chaos and measure; a dynamic level, in which we analyse the formation of rhythm towards its stabilisation as a spatio-temporal dynamism; and an unfolding, in which these dynamisms take on the form of rhythmic machines applied in music (refrain), in painting (sensation) and in cinema (montage and time crystals). In this last phase, the rhythmic devices of various arts lead to a genesis of time. We are thus driven to think and elaborate on the link between these two concepts, rhythm and time, in the writings of Deleuze. Bearing this purpose in mind, we turn to the schema of the three syntheses of time in Difference and Repetition. These syntheses show how time emerges from different ways of understanding repetition, in the place of which rhythm will then appear. We will compare this schema with the argument articulated by Deleuze in Logic of Sensation regarding rhythm in its pictorial form. This comparison will enable us to deduce that both concepts follow a parallel path arising from the same series of processes: vibration, coupling, resonance and forced movement. We will conclude that the schema proposed in Difference and Repetition and its aesthetic purpose delineate the ways in which rhythms unfold creatively. These three syntheses of rhythm are implicated in artistic processes.

Parallel Path Following of Under-Actuated Cyber-Physical Autonomous Surface Vehicles Based on Meta-Learning Extended State Observer

Parallel Path Following of Under-Actuated Cyber-Physical Autonomous Surface Vehicles Based on Meta-Learning Extended State Observer

Optimization and analysis of Spectral/Spatial optical code division multiple access passive optical network

The deployment of high-capacity transport networks while maintaining strict cost constraints is a formidable challenge for network operators in the era of networks beyond 5G (B5G) and 6G. This work explores the use of a 2D spectral-spatial optical code division multiple access (OCDMA) passive optical network (PON). It optimizes the conventional architecture to minimize the cost of deployment while maintaining desirable transmission capacity. Optimization is performed by developing a PON architecture with 2D double-weight zero cross-correlation (DW-ZCC) code that is able to support high capacity through ideal auto and cross-correlation properties. Furthermore, time delay units are employed after the spectral and spatial encoding process to minimize the use of long-span parallel optical fiber path and reduce the overall cost of deployment. Simulation analysis demonstrates that the proposed system is able to support 128 subscribers, each communicating at 10 Gbps data over a system sensitivity of approximately −21 dB. Capital expenditure (CapEx) analysis also demonstrates the effectiveness of the system optimization and reports substantial cost cuts in deploying the proposed architecture compared with the conventional counterpart.

Parallel path detection for fraudulent accounts in banks based on graph analysis.

This article presents a novel parallel path detection algorithm for identifying suspicious fraudulent accounts in large-scale banking transaction graphs. The proposed algorithm is based on a three-step approach that involves constructing a directed graph, shrinking strongly connected components, and using a parallel depth-first search algorithm to mark potentially fraudulent accounts. The algorithm is designed to fully exploit CPU resources and handle large-scale graphs with exponential growth. The performance of the algorithm is evaluated on various datasets and compared with serial time baselines. The results demonstrate that our approach achieves high performance and scalability on multi-core processors, making it a promising solution for detecting suspicious accounts and preventing money laundering schemes in the banking industry. Overall, our work contributes to the ongoing efforts to combat financial fraud and promote financial stability in the banking sector.

COVID-19 Fatigue and Middle School Students’ Engagement and School Aversion: The Mediational Roles of Emotion Regulation and Perceptions of School Climate

Learning during the COVID-19 pandemic has included disruption, uncertainty, and additional stress for students. Adverse learning outcomes are a growing concern, especially for vulnerable groups such as middle school students. While COVID-19 research is currently emerging, more research needs to address the specific experiences of middle school students. The current study examined the meditating role of coping (emotion regulation strategies) and perceptions of school climate on the relationship between COVID-19 fatigue and student outcomes (student engagement and school aversion) in a sample of middle school students (N = 301). Findings from parallel mediation path models indicated that COVID-19 fatigue was inversely related to student engagement and positively related to school aversion. School climate provided a moderate to strong mediation, and emotion regulation provided small partial mediation compared to school climate. The findings suggest that utilizing adaptive emotion regulation strategies can help promote student engagement and dampen school aversion in relation to COVID-19 fatigue. Additionally, positive perceptions of school climate can encourage school engagement and reduce school aversion. A deeper explanation of the importance of regulation and the way middle schoolers perceive school rules and support in the context of the COVID-19 pandemic is discussed.

Aerosol Jet Printing Conductive 3D Microstructures from Graphene Without Post-Processing.

Three-dimensional (3D) graphene microstructures have the potential to boost performance in high-capacity batteries and ultrasensitive sensors. Numerous techniques have been developed to create such structures; however, the methods typically rely on structural supports, and/or lengthy post-print processing, increasing cost and complexity. Additive manufacturing techniques, such as printing, show promise in overcoming these challenges. This study employs aerosol jet printing for creating 3D graphene microstructures using water as the only solvent and without any post-print processing required. The graphene pillars exhibit conductivity immediately after printing, requiring no high-temperature annealing. Furthermore, these pillars are successfully printed in freestanding configurations at angles below 45° relative to the substrate, showcasing their adaptability for tailored applications. When graphene pillars are added to humidity sensors, the additional surface area does not yield a corresponding increase in sensor performance. However, graphene trusses, which add a parallel conduction path to the sensing surface, are found to improve sensitivity nearly 2×, highlighting the advantages of a topologically suspended circuit construction when adding 3D microstructures to sensing electrodes. Overall, incorporating 3D graphene microstructures to sensor electrodes can provide added sensitivity, and aerosol jet printing is a viable path to realizing these conductive microstructures without any post-print processing.

Optical Investigation of a Spark Gap for DC Protection around Current Zero

The applied experimental setup consists of a pair of fixed electrodes forming a short gap in air. The electrodes are connected with a thyristor forming a parallel current path. Once the thought flashover ignited arc has burnt a given time in the range of several hundreds of microseconds, the thyristor will be fired causing a commutation of the current in the semiconductor path. Hence, the current through the electrode gap will be reduced. The extinguishment of the arc permits the creation of a current zero in the gap. The focus of the experimental work is set to the analysis of the arc plasma during the DC phase and its distinction in the current extinction phase (current zero). High speed camera observation and optical emission spectroscopy are carried out and combined with the electrical measurements.

Mapping the number of mangrove trees in the Guangdong-Hong Kong-Macao Greater Bay Area

Mangroves are vital components of coastal ecosystems. Due to the complex canopy morphology and dense distribution of mangroves, it is challenging to accurately estimate the density based on satellite data. In this study, a density regression-based mangrove mapping network is proposed. The network can capture the multi-scale characteristics of mangroves through the combination of an attention mechanism and a parallel segmentation path, and its performance is better than existing methods. We then apply it to mapping the Greater Bay Area (GBA) the number of mangrove trees. The results show about 2.55 million mangrove trees in the GBA, with an average density of 782 trees per hectare. The tree number of mangroves on the beach is significantly higher than those distributed along the riverbank. This study is the first to achieve mangrove tree count mapping, opening up new prospects for applying satellite-based mangrove monitoring.

B - 67 The Temporal Influence of Emotion Regulation on the Association between Impulsivity and Internalizing Psychopathology: a Latent Path Model.

Impulsivity has been found to predict the use of emotion regulation strategies as well as internalizing psychopathology. The present study aims to determine whether the timing of regulatory strategies used by those higher in impulsivity differentially impacts symptoms of internalizing psychopathology. A community sample (N&#3f783) recruited from Amazon MTurk completed an online survey. Latent factors were created for impulsivity, antecedent-focused and response-focused regulation, and internalizing psychopathology. A parallel latent path model was tested using robust maximum likelihood estimation in MPlus in which impulsivity was associated with internalizing psychopathology through antecedent and response-focused regulation. All adjusted measurement model fit indices were within standard cut-off limits (RMSEA = 0.000-0.069, CFI = 0.981-1.000, SRMR = 0.005-0.016). Impulsivity, β= 0.90, p < 0.001, and response-focused, β= 0.40, p < 0.001, but not antecedent-focused regulation, β= 0.03, p = 0.484, predicted internalizing psychopathology. Impulsivity was related to both antecedent-focused, β= 0.70, p < 0.001, and response-focused regulation, β= 0.84, p < 0.001. There was a specific indirect effect of impulsivity on internalizing psychopathology through response-focused, β= 0.34, p < 0.001, but not antecedent-focused regulation, β= 0.02, p = 0.483. The direct effect of impulsivity, β= 0.54, p < 0.001, remained after accounting for the total indirect effects, β= 0.36, p < 0.001. These findings indicate that the association between impulsivity and internalizing psychopathology can be partially explained by emotion regulation. Impulsivity related positively to both types of emotion regulation, suggesting that those high in impulsivity have the capacity for both types of strategies. Only response-focused strategies were associated with internalizing symptoms; thus, it may then be beneficial to prompt those with high impulsivity to use more antecedent-focused rather than response-focused regulatory strategies.

Particle transport through localized interactions with sharp magnetic field bends in MHD turbulence

When a particle crosses a region of space where the curvature radius of the magnetic field line shrinks below its gyroradius $r_{g}$ , it experiences a non-adiabatic (magnetic moment violating) change in pitch angle. The present paper carries that observation into magnetohydrodynamic (MHD) turbulence to examine the influence of intermittent, sharp bends of the magnetic field lines on particle transport. On the basis of dedicated measurements in a simulation of incompressible turbulence, it is argued that regions of sufficiently large curvature exist in sufficient numbers on all scales to promote scattering. The parallel mean free path predicted by the power-law statistics of the curvature strength scales in proportion to $r_{g}^{0.3}\,\ell _{c}^{0.7}$ ( $\ell _{c}$ is the coherence scale of the turbulence), which is of direct interest for cosmic-ray phenomenology. Particle tracking in that numerical simulation confirms that the magnetic moment diffuses through localized, violent interactions, in agreement with the above picture. Correspondingly, the overall transport process is non-Brownian up to length scales $\gtrsim \ell _{c}$ .

Commissioning, Performance, and Effect of the Quench Current-Boosting Device on a Dedicated Superconducting Magnet

Superconducting magnet training is one of the accelerator related issues attracting attention due to significant operational costs and time budget associated to it. It is especially worrisome that magnets based on the “next-generation” Nb <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> Sn technology are affected by long training. While various efforts are underway to better understand and resolve the problem a parallel path could also be investigated, a path bypassing the issue. Following the concept of fast induced over-current during magnet powering, FNAL has developed an upgradable capacitor-based device to discharge through a superconducting magnet at quench detection or operator chosen time. The 0.4 F/1 kV device has been tested on a 1-m-long dipole-coil in a “mirror” magnet configuration and conclusive results on magnet training elimination have been observed. In this paper we discuss the main characteristics of the device, compare simulated response and actual performance, elaborate on test drivers and outcomes. Next steps and perspectives for future use are debated.

Diffusion during collective turns in bird flocks under predation

Moving in groups offers animals protection against predation. When under attack, grouped individuals often turn collectively to evade a predator, which sometimes makes them rapidly change their relative positions in the group. In bird flocks in particular, the quick reshuffling of flock members confuses the predator, challenging its targeting of a single individual. This confusion is considered to be greater when the internal structure of the group changes faster (i.e. the ‘diffusion’ of the group is higher). Diffusion may increase when individual birds turn collectively with equal radii (same angular velocity) but not when individuals keep their paths parallel (by adjusting their speed). However, how diffusion depends on individual behaviour is not well known. When under attack, grouping individuals change the way they interact with each other, referred to as ‘alarmed coordination’ (e.g., increase their reaction frequency or their cohesion tendency), but the effect of such changes on collective turning is unknown. Here, we aimed to gain an understanding of the dynamics of collective turning in bird flocks. First, to investigate the relation between alarmed coordination and flock diffusion, we developed an agent-based model of bird flocks. Second, to test how diffusion relates to collective turns with equal-radii and parallel-paths, we developed a metric of the deviation from these two types. Third, we studied collective turning under predation empirically, by analysing the GPS trajectories of pigeons in small flocks pursued by a RobotFalcon. As a measure of diffusion, we used the instability of neighbours: the rate with which the closest neighbours of a flock member are changing. In our simulations, we showed that this instability increases with group size, reaction frequency, topological range, and cohesion tendency and that the relation between instability of neighbours and the deviation from the two turning types depends in often counter-intuitive ways on these coordination specifics. Empirically, we showed that pigeons turn collectively with less diffusion than starlings and that their collective turns are in between those with equal-radii and parallel-paths. Overall, our work provides a framework for studying collective turning across species.

Assessing parallel path cooling tower performance via artificial neural networks

Real-time monitoring of a research nuclear reactor, a system in which all generated power is dissipated to the environment, can be performed via analysis of the heat rejection from the cooling system. Given an inlet water temperature and flow rate, the reactor power can be well-approximated from the outlet water temperature; however, the instrumentation to measure outlet conditions may not be robust or accurate. If we know how a cooling tower performs from historical data, but cannot measure the outlet temperature, a mathematical representation of the system can be inverted to obtain the outlet water temperature that describes the cooling capacity. Unfortunately, model inversion processes are computationally expensive. To address this, an artificial neural network (ANN) is implemented to assess the performance of a multi-cell cooling tower for a nuclear reactor. This approach leverages the Merkel model to obtain an extensive data set describing performance of the cooling tower cells throughout a wide array of potential operating conditions. The Merkel model is expressed as a function of four parameters: the inlet and outlet water temperatures, inlet air wet bulb temperature, and ratio of liquid-to-gas mass flow rates (L/G), which together provide a non-dimensional number indicative of cooling tower performance, called the Merkel integral. Computing a 4-dimensional data structure that describes finite combinations of the Merkel integral, an inverse model is then generated using an ANN to determine the cell outlet water temperature from the other three model parameters along with the computed Merkel integral. Compared to traditional model inversion methods, the ANN reduces the computational time by approximately 4 orders of magnitude, with effectively no sacrifice to solution accuracy, and could be applied for different cooling towers in the event the performance curve is known. Three use cases of the ANN are then reviewed: (1) determining the cell outlet water temperatures when gas flow at rated conditions (GFRC) is known, (2) performing the prior case without knowledge of the GRFC, and (3) assessing performance differences between the individual tower cells.

Sexual Victimization in Adolescence: Pathways of Risk from Sexual Harassment via Risky Alcohol Use and Delinquency Among U.S. Adolescents.

Sexual harassment is a common, yet understudied form of peer victimization experienced by adolescents during a critical period in the development of sexual identity. Adverse sexual experiences early in life (e.g., child sexual abuse) can increase risk of future sexual assault victimization; however, it is unclear as to whether sexual harassment victimization is also a risk factor for sexual assault. We examined the prospective association between peer sexual harassment and experiencing sexual victimization in the following year among a community sample of 13-15-year-old adolescents (N = 800, 57% female) from the northeastern USA. We also examined whether risky alcohol use and delinquency mediated the association between sexual harassment and sexual assault victimization, as well as whether the paths differed by gender. Results indicated that sexual harassment victimization prospectively predicted later sexual victimization for both girls and boys. Using a parallel mediation path model, we determined that for girls, sexual harassment victimization predicted both risky alcohol use and delinquency, but only risky alcohol use was predictive of sexual victimization. For boys, sexual harassment victimization predicted delinquency but not risky alcohol use. Risky alcohol use was not associated with sexual victimization for boys. Findings indicate that sexual harassment victimization increases risk of later sexual victimization in adolescence, but the pathways differ by gender.

The Compensation by the international criminal judiciary

The international community is showing an increasing interest in ensuring that international criminal justice takes into account the interests and rights of victims, and that this concern is not limited to the spectrum of accused only, since the middle of the last century, this interest has spawned the emergence of a new science, known as "victimology", this science has taken a parallel path to traditional criminology, opening a new chapter in the understanding of criminal behavior, as a human phenomenon, it includes a set of complex and multilateral relationships. The interest bore fruit when international conventions began to explicitly provide for ensuring justice for victims, this is what is stated in the fourth principle of the Declaration of Basic Principles of Justice regarding victims of crime and abuse of power, it states: “Victims shall be treated with compassion and respect for their dignity. They shall have the right to access justice mechanisms and to obtain immediate reparation, in accordance with national legislation in relation to the harm they have suffered”. The pursuit of justice does not stop at convicting the accused of international crimes, but also extends to caring for people whose rights have been violated as a result, this is what the International Criminal Court adopted, when its Statute affirmed that the interests of international criminal justice and the interests of victims go hand in hand, the preamble to the Rome Statute states that ensuring justice for victims of humanitarian atrocities is a right that cannot be overlooked. Especially since millions of children and women have fallen during the current century as victims of unimaginable horrors, which have strongly shaken the conscience of humanity. Thus, the International Criminal Court has paid more attention to the rights of victims than the temporary international criminal courts. The Statute of the International Criminal Court committed to balancing the rights of victims and the rights of the accused in international criminal proceedings, It included an important issue at the level of international trials, which is the right of victims and to obtain reparation for the harm they suffered (compensation) as a result of the international crimes committed against them

In-situ residual deformation field analysis of laser repaired metal components by coherent gradient sensing method

Directed Energy Deposition (DED) technology plays an important role in metal additive manufacturing and remanufacturing. However, the quality and repeatability of DED products are still regarded as a challenge that hinders their widespread applications, especially in cutting-edge sectors. As a promising approach to meet that challenge, the in-situ monitoring of mechanical quantities during DED process, such as deformation and stress, has attracted extensive attention in both academic and engineering fields. In this study, a coherent gradient sensing (CGS) system that matches DED equipment is developed and used for in-situ monitoring the residual deformation of DED repaired metal components. The accuracy of the CGS system has been verified by measuring the curvature of a spherical mirror, and the relative error of the curvature is within 2.5% as a whole. Then, through single-layer/double-layers repair experiments, the influence of dwell time between adjacent tracks, cooling process between adjacent layers, and scanning path of the second layer on the residual deformation are analyzed. In single-layer repair experiment, the value of residual deformation increases with the dwell time, while its distribution characteristic almost keeps the same. In double-layers repair experiment, the anisotropy of residual deformation field is mainly influenced by the deposition direction of the second layer. Compared with parallel deposition path in double-layer repair experiment, the orthogonal deposition path results in a reduction of both the anisotropy and the maximum value of residual deformation field. Moreover, in the cooling process of orthogonal deposition, the residual deformation increases while the distribution characteristic remains unchanged. In conclusion, the feasibility of residual deformation measurement by CGS method in DED repairing process is verified, which provides both data support and tool for the future industrial application.

Preliminary experience with a novel facet-based lateral mass drill guide for the placement of lateral mass screws compared to freehand technique: a cadaveric study

BACKGROUND CONTEXTLateral mass screw fixation is the standard for posterior subaxial cervical fixation. Several freehand surgical techniques for placing lateral mass screws have been described which rely on anatomical landmarks and surgeon mastery of the technique to safely place screws. The accuracy of these freehand techniques is inherently variable and can be influenced by a surgeon's level of clinical experience. A novel technique was developed that utilizes the plane of the facet joint to create lateral mass screw pilot holes parallel with the joint line to improve the safety and accuracy of lateral mass screw placement regardless of experience. PURPOSETo assess the safety and accuracy of lateral mass screw placement using a novel lateral mass drill guide instrument (LM Guide), compared to standard freehand technique. STUDY DESIGNRandomized cadaveric study utilizing multiple surgeon evaluators to compare the safety and accuracy of guided cervical lateral mass placement compared to traditional freehand techniques. MATERIALS AND METHODSLateral mass screws were placed from C3 to C7 in 20 cadaver specimens by 8 spine surgeons of varying levels of clinical experience (4 attendings, 4 fellows). Screws were placed bilaterally using standard anatomic landmarks (“freehand”) randomly allocated on one side and using the LM Guide on the other. Cadaveric specimens were imaged with high-resolution CT to assess screw placement. Zone grading for safety was conducted based on screw tip position and clinical severity of screw breach was based on proximity to surrounding neurovascular anatomy. Screws were graded as safe, at-risk, or critical, with at-risk and critical screws considered malpositioned. To assess the accuracy of screw trajectory placed using the LM Guide compared to freehand, sagittal screw angle was measured and compared to an “ideal” screw path parallel to the facet joint line. Freehand and LM Guide groups were compared using Pearson's chi-square correlation. RESULTSScrew placement using the LM guide yielded a significantly lower rate of screw malpositioning, with 7 of 91 (7.7%) compared with 18 of 99 (18.2%) screws placed in the At-Risk or Critical Zones, p<.05. Of the 91 screws inserted using the LM Guide, 84 (92.3%) were in the Safe Zone, 7 (7.7%) were At-Risk, and 0 were in Critical zones. There was no incidence of neural or transverse foramen breaches with the LM Guide. In comparison, for the 99 screws inserted freehand, 81 (81.8%) were Safe, 14 (14.1%) were At-Risk, and 4 (4.1%) were in Critical zones. The 4 Critical zone freehand screw breaches included 1 neural foramen breach, 2 transverse foramen breaches, and 1 facet breach. The LM Guide also resulted in higher accuracy of screw trajectory, as indicated by a significant reduction in sagittal screw angle compared with freehand, p<.01. Notably, in the less-experienced surgeon cohort, the LM Guide significantly reduced the sagittal screw angle and resulted in no critical screw breaches compared to 3 critical breaches with freehand technique suggesting there might be a benefit in decreasing the learning curve associated with lateral mass screw placement. CONCLUSIONSLateral mass screw placement with a novel LM Guide that uses the facet joint to control screw trajectory improved the accuracy and reproducibility of screw placement with a significant reduction in screw breach rate and sagittal screw angle compared to freehand techniques regardless of surgeon experience level. CLINICAL SIGNIFICANCEThe inherent variability of freehand lateral mass screw placement can increase the risk of clinical complications associated with screw malpositioning. The technique presented in this cadaveric study may be a viable alternative to standard freehand technique that can improve the overall safety of lateral mass screw placement.

Coupled Inductor Based Soft Switched High Gain Bidirectional DC-DC Converter With Reduced Input Current Ripple

Bidirectional dc–dc converter (BDC) is an integral part of energy storage interface, where high efficiency, high voltage transfer ratio and small input ripple current are essential for application, such as dc microgrid and electric vehicle. In this article, a new approach is proposed to achieve reduced input ripple current at the low voltage side, which potentially replaces the necessity of using interleaved circuit structure. Parallel coupled inductor and capacitor circuit are utilized for charging and discharging the two parallel paths in a complementary fashion using a <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">mosfet</small> . The proposed solution helps to increase the voltage conversion ratio unlike interleaved structure. Additionally, in proposed BDC, zero voltage switching turn <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">on</small> operation of all active switches are possible utilizing synchronous rectification principle in both the operating modes. Parallel path structure not only reduce the input current ripple, but also helps to share the input current, thereby reducing the coil size and associated losses. A 250 W BDC is designed to validate performance in 1kW dc microgrid system

Analysis and Design of a Novel Doubly SalientPMMotor Based on Parallel Path Magnetic Technology

AbstractIn this paper, a novel doubly salient PM motor based on parallel path magnetic technology (PPMT) is presented. PPMT is an advanced magnetic control technology, which can be applied to linear and rotary actuators. First, the fundamental principle of the PPMT prototype is elaborated, and then a comprehensive research and analysis of PPMT motor is carried out, with particular emphasis on machine topology, operation principle and electromagnetic performance. The equivalent no‐load PM magnetic circuit model is established and equations for calculating the main PM flux are derived. Besides, a dual‐stator 6‐pole PPMT motor prototype has been developed to valid the analysis. According to the similarity of topology and operation principle, comparison between the FSPM machine and PPMT machine is conducted, which leads to the conclusion that the PPMT motor has lower cogging torque, lower torque ripple and better sine back EMF waveform, the PPMT motor is more suitable for servo applications compared to FSPM motor. Finally, to improve the power density of PPMT motor, FE parametric modeling method for designing the three coupled stator parameters, which are the PM width, the stator yoke width and the second airgap length is given out. © 2023 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

Novel Tool Path Generation Method for Pocket Machining Using Sound Field Synthesis Theory

Contour parallel tool paths have been proved to be a preferred machining strategy for their advantage of less tool retractions and less sharp turns. The traditional geometrical algorithm-based tool path generation method often makes it hard to simply and simultaneously solve the problems of self-intersection, no residual, and smoothness at the same time due to their contradictions. To address this issue, a contoured parallel tool path generation method for pocket machining is developed in this study. It is based on sound field synthesis theory inspired by the phenomenon of sound wave propagation. Firstly, the simplified medial axis (SMA) tree of the pocket is extracted and the propagation direction of each SMA segment is calculated on account of the geometric characteristics of the pocket boundary. Secondly, the final tool path is obtained through the synthesis of the sound field. Finally, the novel method is verified on five different pockets to generate a contoured parallel milling tool path. After machining these pockets and measuring the machining time, roughness, and cutting force, the experimental results demonstrate that the tool path obtained by the novel method has advantages in improving machining quality and efficiency.