Checkerboard Pattern Research Articles

Kirigami Design and Modeling for Strong, Lightweight Metamaterials

AbstractKirigami is the art of paper cutting, and it is emerging as an elegant design and manufacturing solution in mechanical metamaterials. Currently, the majority of kirigami designs focus on shape‐morphing, but there is little attention on the remarkable mechanical properties they can produce: high strength to weight ratio where they can bear thousands of times of their own weight. This paper proposes a kirigami‐based, strong, yet lightweight metamaterial, which is created by folding pop‐up and pop‐down from a checkerboard pattern with blocks. To transform the kirigami metamaterial into arbitrary objects, the challenge lies in how to automatically design the kirigami folding to approximate the outline of the object. Herein, a computational model that is based on deploying discretized objects onto a planar sheet is proposed. Additionally, to achieve high strength, a glue‐free connector that can lock the collocated cuts in the folded configuration is designed. The standard compression tests show that the kirigami metamaterial, weighing 12.05 g, can carry 346.4 N payloads. Meanwhile, six examples of curved surfaces are prototyped to verify the shape transforming capability of the proposed kirigami metamaterial. This study paves the way towards using the kirigami technique for weight reduction in industrial applications.

Steady-State Visual Evoked Potential-Based Brain-Computer Interface Using a Novel Visual Stimulus with Quick Response (QR) Code Pattern.

Steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) systems suffer from low SSVEP response intensity and visual fatigue, resulting in lower accuracy when operating the system for continuous commands, such as an electric wheelchair control. This study proposes two SSVEP improvements to create a practical BCI for communication and control in disabled people. The first is flicker pattern modification for increasing SSVEP response through mixing (1) fundamental and first harmonic frequencies, and (2) two fundamental frequencies for an additional number of commands. The second method utilizes a quick response (QR) code for visual stimulus patterns to increase the SSVEP response and reduce visual fatigue. Eight different stimulus patterns from three flickering frequencies (7, 13, and 17 Hz) were presented to twelve participants for the test and score levels of visual fatigue. Two popular SSVEP methods, i.e., power spectral density (PSD) with Welch periodogram and canonical correlation analysis (CCA) with overlapping sliding window, are used to detect SSVEP intensity and response, compared to the checkerboard pattern. The results suggest that the QR code patterns can yield higher accuracy than checkerboard patterns for both PSD and CCA methods. Moreover, a QR code pattern with low frequency can reduce visual fatigue; however, visual fatigue can be easily affected by high flickering frequency. The findings can be used in the future to implement a real-time, SSVEP-based BCI for verifying user and system performance in actual environments.

Nano Scaled Checkerboards: A Long Range Ordering in NiCoMnAl Magnetic Shape Memory Alloy Thin Films with Martensitic Intercalations

Magnetic shape memory Heusler alloys, such as NiCoMnAl, are considered as promising candidates for magnetocaloric cooling applications. Grown in thin film systems of adjacent layers with austenite and martensite crystal structures of almost equal thicknesses, a long-range ordering phenomenon in the shape of a 3D checkerboard pattern occurs in NiCoMnAl samples. The crystallographic origin of the pattern is proven by transmission electron microscopy (TEM) techniques. The darker fields of the arrangement consist of martensite nuclei superposed with austenite, while the purely austenite regions appear bright in TEM cross sections. The nucleation process is presumably triggered by inhomogeneous local elastic stray fields of primary martensitic nuclei in the austenite matrix and limited by the thicknesses of the martensite and austenite thin films.

Magnetic order and magnetic properties of the oxygen deficient SmBaMn2O5 layered perovskite

Magnetism in SmBaMn2O5 was investigated on a single crystal by magnetic and neutron diffraction measurements. This is an oxygen deficient perovskite with a layered ordering of Sm and Ba cations. Mn atoms are coordinated with five oxygens forming a square pyramid and they are ordered in a checkerboard pattern of expanded-compressed pyramids in the ab-plane. The neutron diffraction study revealed a ferrimagnetic ordering of Mn moments below TN=134 K. Macroscopic measurements reveal a very anisotropic behavior. Measurements with the external magnetic field parallel (M||c) and perpendicular (M⊥c) to the c-axis confirm that this is the easy axis above 10 K. Below this temperature, the Sm sublattice begins to polarize and the magnetization M||c decreases while M⊥c experiences a huge increase. This indicates that Sm moments begin to order around 10 K in the ab-plane with a minor component on the c-axis that opposes the overall magnetization from Mn sublattices.

Background oriented schlieren technique with fast Fourier demodulation for measuring large density-gradient fields of fluids

In order to measure the large density-gradient fields of fluids such as underwater shock waves, we employed a fast Fourier demodulation called Fast Checkerboard Demodulation (FCD) method in Background Oriented Schlieren (BOS) technique. BOS is a simple image-based measurement technique that detects the apparent displacement (local distortion) of a background image caused by the density gradient of the fluid in front of the background. The cross-correlation particle image velocimetry (PIV) method, which is commonly employed in the BOS technique for detecting the apparent displacement, uses a random-dot background, whereas FCD uses a periodic pattern as the background (e.g., checkerboard pattern, lattice grid pattern (grid scale)) to detect the apparent displacement as the phase change of the pattern in the Fourier space. In this study, we measured the apparent displacement, which is proportional to density gradient of fluid, of an underwater shock wave using FCD and PIV. The results showed that FCD can measure a displacement gradient of up to 2.5 times larger than that which PIV can measure. Furthermore, we systematically investigated the measurement limit of FCD-BOS by changing several parameters of the periodic patterns, such as the grid size. Also, we explored the related parameters in the Fourier space to understand the limitations. It is worth noting that FCD-BOS with lattice grid pattern (grid scale) can measure the apparent displacement as accurately as that with a custom-made pattern, indicating that large density-gradient fields of fluids can be measured using a simple setup with a commercially available (inexpensive) pattern.

Topology Optimization – unconventional approaches using the Generalized Finite Element Method and the Stable Generalized Finite Element Method

The Structural Optimization process has an increasing importance in industry and academic fields, assisting in the development of designs at the initial stages of a project. Nowadays, the structural optimization methodology can be conducted by Topology Optimization Method (TOM), which is an efficiently combination of the Finite Element Method (FEM) with an optimization algorithm, in order to find the optimized material distribution inside a given design domain subjected to a set of constraints. Application of the FEM in TOM suffers from a series of instability problems, being one of them the checkerboard pattern. This paper investigates the impact of the Generalized Finite Element Method (GFEM) and Stable Generalized Finite Element Method (SGFEM) in the implementation of the TOM algorithm. This work shows that these unconventional FEM formulations are able to solve most of the checkerboard pattern problem when combined with an enriched mesh designed specifically to each example evaluated. Significant improvement in results of the topology optimization is achieved when compared to the conventional formulation of TOM.

Влияние периодической макрошероховатости на развитие турбулентной свободной конвекции у внезапно нагреваемой вертикальной пластины

The results of numerical simulation of unsteady free convection developing near a suddenly heated plate, on which protrusions in the form of adiabatic cylinders of double height with respect to the diameter are arranged in a checkerboard pattern, are presented. The calculations were performed according to the Reynolds equations using a differential model of turbulent stresses. The range of variation of the Grashof number (plotted according to the thickness of the free convective flow), in which a significant intensification of heat transfer can be achieved, has been determined. It is shown that the best conditions for intensification are created if the longitudinal pitch in the array of protrusions is approximately twenty times the diameter of the latter.

Phacomatosis pigmentokeratotica.

A 20 yr old female† presented to the department of Dermatology and Sexually Transmitted Diseases, Safdarjung Hospital, New Delhi, India, in February 2019, with progressive asymptomatic brownish-black lesions on the face, neck and chest since birth. Examination revealed yellowish-brown verrucous papules and plaques arranged linearly along the lines of Blaschko on the forehead, nose, right pre-auricular area, neck and chest, suggestive of naevus sebaceous (Fig. 1A and B). Light brown-coloured patch of size 10 × 7 cm with overlying dark brown-to-black macules and papules, suggestive of speckled lentiginous naevus, was present on the left side of the face, extending from forehead to mandibular region (Fig. 2). Biochemical, ophthalmic, neurological and skeletal evaluation revealed no abnormality. Histopathological examination from verrucous plaque showed hyperkeratosis, acanthosis, papillomatosis and follicular plugging in the epidermis. Dermis showed increased number of enlarged sebaceous glands placed abnormally higher, with a few immature hair structures and dilated apocrine glands (Fig. 3). These features were consistent with naevus sebaceous.Fig. 1: (A) Yellowish-brown verrucous papules and plaques arranged linearly along lines of Blaschko, suggestive of naevus sebaceous. (B) Naevus sebaceous over the right pre-auricular area (inset showing similar lesion over anterior chest).Fig. 2: Light brown-coloured patch of size 10 × 7 cm with overlying dark brown-to-black macules and papules, suggestive of speckled lentiginous naevus.Fig. 3: Hyperkeratotic, acanthotic and papillomatous epidermis with follicular plugging. There are an increased number of closely set large sebaceous glands (black arrow) that are placed abnormally higher in the dermis along with a few immature hair structures (yellow arrow). Lower dermis shows dilated apocrine glands (blue arrow) (Hematoxylin and eosin, x100).Phacomatosis pigmentokeratotica (PPK) is a rare form of epidermal naevus syndrome characterized by coexistence of an organoid naevus with sebaceous differentiation along Blaschko’s lines and speckled lentiginous naevus in a checkerboard pattern. Our case represents a rare form of PPK without any extra-cutaneous features. Patients with PPK are at risk of developing basal cell carcinoma and syringocystadenoma papilliferum in naevus sebaceous and malignant melanoma in speckled lentiginous naevus; hence, regular follow up is necessary. The patient was planned for serial surgical excision of naevus sebaceous. Acknowledgment: Authors acknowledge Dr Shruti Sharma, Scientist D, National Institute of Pathology, Indian Council of Medical Research, New Delhi, for providing histopathologic image. Conflicts of Interest: None.

Checkerboard Dropout: A Structured Dropout With Checkerboard Pattern for Convolutional Neural Networks

Dropout is adopted in many state-of-the-art Deep Neural Networks (DNNs) to ease the overfitting problem by randomly removing features from feature maps. However, previous studies show the limitations of dropout application to Convolutional Neural Networks (CNNs) due to an increase in spatial correlation of the zeroed-out values in the output feature maps, which limits the generalization and performance of the network. Recently, DropBlock has been successfully applied as an efficient structured dropout to mitigate the spatial correlation problem by dropping a continuous region and to allay the randomness of the conventional dropout. However, DropBlock does not completely remove the randomness. The reason is because DropBlock still randomly chooses the center points to generate regions to drops. This paper proposes a novel method, Checkerboard Dropout, to handle the randomness of the conventional dropout as well as DropBlock and to further reduce the spatial correlation between the zeroed-out values in output feature maps. The proposed method is evaluated with large-scale image classification and object detection tasks. Experimental results show that the proposed Checkerboard Dropout improves the top-1 accuracy by 2.17% for a baseline of ResNet-50 on ImageNet dataset, 1.44% AP for a baseline of RetinaNet with ResNet-50 + FPN backbone and outperformed the previous approach - DropBlock - 0.3% top-1 accuracy for ImageNet dataset and 0.64% AP for MS COCO dataset. Furthermore, the proposed Checkerboard Dropout also improves the model generalization, localization and segmentation capability toward complex objects through Grad-CAM and instance segmentation visualizations.

The relevance of visual evoked potentials to a checkerboard pattern in the diagnosis of optic neuritis

The relevance of visual evoked potentials to a checkerboard pattern in the diagnosis of optic neuritis

Altered Processing of Visual Stimuli in Vestibular Migraine Patients Between Attacks: A Combined VEP and sLORETA Study.

Objective: Vestibular migraine (VM) is one of the most common causes of recurrent vertigo, but the neural mechanisms that mediate such symptoms remain unknown. Since visual symptoms and photophobia are common clinical features of VM patients, we hypothesized that VM patients have abnormally sensitive low-level visual processing capabilities. This study aimed to investigate cortex abnormalities in VM patients using visual evoked potential (VEP) and standardized low-resolution brain electromagnetic tomography (sLORETA) analysis.Methods: We employed visual stimuli consisting of reversing displays of circular checkerboard patterns to examine “low-level” visual processes. Thirty-three females with VM and 20 healthy control (HC) females underwent VEP testing. VEP components and sLORETA were analyzed.Results: Patients with VM showed significantly lower amplitude and decreased latency of P1 activation compared with HC subjects. Further topographic mapping analysis revealed a group difference in the occipital area around P1 latency. sLORETA analysis was performed in the time frame of the P1 component and showed significantly less activity (deactivation) in VM patients in the frontal, parietal, temporal, limbic, and occipital lobes, as well as sub-lobar regions. The maximum current density difference was in the postcentral gyrus of the parietal lobe. P1 source density differences between HC subjects and VM patients overlapped with the vestibular cortical fields.Conclusion: The significantly abnormal response to visual stimuli indicates altered processing in VM patients. These findings suggest that abnormalities in vestibular cortical fields might be a pathophysiological mechanism of VM.

Engineering ordered arrangements of oxygen vacancies at the surface of superconducting La2CuO4 thin films

We demonstrate how ordered arrangements of oxygen vacancies can be engineered during the growth of superconducting La2CuO4 films by oxide molecular-beam epitaxy. These arrangements are seen using in situ reflection high-energy electron diffraction. Based on qualitative real-time observations, we propose a surface reconstruction mechanism emphasizing the active role of dopants and oxygen vacancies at the film surface. Due to the specific atomic arrangement induced by dopant positions, characteristic surface “stripes” are generated, and they determine the intrinsically heterogeneous structure characterized by distorted checkerboard patterns on the surface. Not only can the surface motif during growth be monitored via characteristic surface reconstructions, but it can also be customized by altering strain, doping, and oxygen activity.

Machine Learning Based Color Classification by Means of Visually Evoked Potentials

Visually evoked potentials (VEPs) are widely used for diagnoses of different neurological diseases. Interestingly, there is limited research about the impact of the stimulus color onto the evoked response. Therefore, in our study we investigated the possibility of automatically classifying the stimulus color. The visual stimuli were selected to be red/black and green/black checkerboard patterns with equal light density. Both of these stimuli were presented in a random manner to nine subjects, while the electroencephalogram was recorded at the occipital lobe. After pre-processing and aligning the evoked potentials, an artificial neural network with one hidden layer was used to investigate the general possibility to automatically classify the stimulus color in three different settings. First, color classification with individually trained models, color classification with a common model, and color classification for each individual volunteer with a model trained on the data of the remaining subjects. With an average accuracy (ACC) of 0.83, the best results were achieved for the individually trained model. Also, the second (mean ACC = 0.76) and third experiments (mean ACC = 0.71) indicated a reasonable predictive accuracy across all subjects. Consequently, machine learning tools are able to appropriately classify stimuli colors based on VEPs. Although further studies are needed to improve the classification performance of our approach, this opens new fields of applications for VEPs.

A Hilbert space framework for sensitivity filtering and vertex morphing

AbstractA common problem in structural optimization is the formation of checkerboard patterns due to numerical instabilities. One way to mitigate it is to consider regularization techniques such as the application of a smoothing filter during the optimization procedure. This approach leads to what is now called sensitivity filtering, which has become a popular method in the engineering community due to easy implementation and applicability to large‐scale optimization problems. However, the method suffers from a lack of mathematical foundation and theoretical justification [1,2].In an attempt to merge sensitivity filtering into the standard optimization technology, a framework for sensitivity filtering in conjunction with mesh‐free methods and node‐based optimization was developed in [3]. The resulting method is referred to as vertex morphing. Intermediate design iterations of the method exhibit certain desirable properties, depending on the choice of filter radius, such as the attenuation of high‐frequency modes and the preservation of tiny details in the initial design. Since they can be seen as valid design choices, the method is usually stopped before convergence.In this contribution, we provide a mathematical foundation for the vertex morphing method and establish a connection with known regularization techniques. We consider design variables as fields defined on some domain D ⊆ ℝd that can be written as urn:x-wiley:16177061:media:PAMM202100258:pamm202100258-math-0001 where k ∈ L2 (D × D) is an integral kernel and p ∈ L2 (D) is the control variable. With this formulation, the so‐called filtering rules, which form the basis for the design update rules, can be derived rigorously. To analyze the behavior of the method, we regard the linear least squares problem and show that the intermediate results correspond to some regularized solution to the problem. A comparison between the vertex morphing method and other regularization techniques is made for the linear least squares problem and the compliance minimization of a thin shell structure, which is based on the assumed natural deviatoric strain (ANDES) formulation [4].

Study on Spatial Structure Characteristics of the Tourism and Leisure Industry

By taking Beijing as the case site, using open-source Point of Interest data, and employing spatial visualization techniques, this study explores the spatial structural characteristics of the Beijing tourism and leisure industry and its sub-sectors. It has been found that (1) the nearest neighbor indexes of the tourism and leisure industry and its sub-sectors are all less than 1, indicating that the tourism and leisure industry and its sub-sectors in Beijing exhibit a spatial clustering distribution. Scenic spots have the largest R-value of 0.52 and, thus, the lowest degree of clustering. The minimum R-value of 0.15 is found in catering, marking the highest degree of clustering in the industry; (2) the main directional trend of the tourism and leisure industry and its sub-sectors in Beijing is the “northeast-southwest” direction, the south-north directional dispersion is dominant, and scenic spots demonstrate a more noticeable trend of spatial dispersion; (3) within the area from Sanlitun Street in the north to Panjiayuan Street in the south, and from Chaoyangmen Street in the west to Liulitun Street in the east, is situated the largest portion of cluster centers with the highest degree of clustering in Beijing’s tourism and leisure industry. The contiguous high-density cluster center of catering starts from Sanlitun Street in the north to Jinsong Street in the south, and from Chaoyangmen Street in the west to Liulitun Street in the east. The cluster of shopping and entertainment shows a checkerboard pattern in the CZCF and NUDZ. The high-value cluster of accommodation occurs primarily around Sanlitun, Panjiayuan, and Qianmen; (4) the distribution of three grades of hot spot areas and non-significant areas of tourism and leisure, catering, accommodation, and shopping and entertainment in Beijing demonstrates a circular pattern that centers around the CZCF and expands outward in sequence. High-value hot spot streets for this area are dominated by Beixinqiao Street, Hepingli Street, Sanlitun Street, Heping Street, and Tuanjiehu Street; and the high-value cold spot streets of the area are chiefly in Fuzizhuang Township, Wangping Town, Miaofeng Mountain Town, and Tanzhesi Town.

Blue\u2013Yellow VEP with Projector-Stimulation in Glaucoma

Background and aimIn the past, increased latencies of the blue-on-yellow pattern visually evoked potentials (BY-VEP), which predominantly originate in the koniocellular pathway, have proven to be a sensitive biomarker for early glaucoma. However, a complex experimental setup based on an optical bench was necessary to obtain these measurements because computer screens lack sufficient temporal, spatial, spectral, and luminance resolution. Here, we evaluated the diagnostic value of a novel setup based on a commercially available video projector.MethodsBY-VEPs were recorded in 126 participants (42 healthy control participants, 12 patients with ocular hypertension, 17 with “preperimetric” glaucoma, and 55 with perimetric glaucoma). Stimuli were created with a video projector (DLP technology) by rear projection of a blue checkerboard pattern (460 nm) for 200 ms (onset) superimposed on a bright yellow background (574 nm), followed by an offset interval where only the background was active. Thus, predominantly S-cones were stimulated while L- and M-cone responses were suppressed by light adaptation. Times of stimulus onset to VEP onset-trough (N-peak time) and offset-peak (P-peak time) were analyzed after age-correction based on linear regression in the normal participants.ResultsThe resulting BY-VEPs were quite similar to those obtained in the past with the optical bench: pattern-onset generated a negative deflection of the VEP, whereas the offset-response was dominated by a positive component. N-peak times were significantly increased in glaucoma patients (preperimetric 136.1 ± 10 ms, p < 0.05; perimetric 153.1 ± 17.8 ms, p < 0.001) compared with normal participants (123.6 ± 7.7 ms). Furthermore, they were significantly correlated with disease severity as determined by visual field losses retinal nerve fiber thinning (Spearman R = –0.7, p < 0.001).ConclusionsVideo projectors can be used to create optical stimuli with high temporal and spatial resolution, thus potentially enabling sophisticated electrophysiological measurements in clinical practice. BY-VEPs based on such a projector had a high diagnostic value for detection of early glaucoma.Registration of studyRegistration site: www.clinicaltrials.govTrial registration number: NCT00494923.

Optimisation of heat recovery from low-enthalpy aquifers with geological uncertainty using surrogate response surfaces and simple search algorithms

Optimisation of doublet well spacing in low-enthalpy geothermal systems is addressed by defining a novel objective function that is based on the Coefficient of Performance (CoP) and energy sweep efficiency. The definition of objective function that separates performance-based criteria from economic factors, allows us to better observe the effects of heterogeneity on optimisation. A checkerboard pattern of two doublets (two injection wells diagonally placed and two production wells diagonally placed over corners of a rectangle) is considered for a range of homogeneous to heterogeneous (spatially correlated and fluvial) synthetic low enthalpy reservoirs. Optimal length and width of this rectangle are sought in order to (a) maximise heat recovery from a conventionally-chosen licence area around the rectangular domain, (b) minimise heat recovery from outside this licence area, and (c) maximise CoP. We define fixed (15 years and 30 years) and varying life times of operation (between 15 and 30 years). For optimisation, in addition to a simple-search procedure of optimisation across a mesh of simulation nodes, we also utilise a surrogate response surface model to computationally solve the optimisation problem. Our results consistently show that for a fixed life time of 15 years and a discharge rate of 250 m3/hr, 400 m is the optimal well/doublet spacing. Increasing the life time and the discharge rate will increase the optimal well/doublet spacing. The results show while CoP is sensitive to the heterogeneity, adding energy sweep to the objective function makes the distances found for the homogeneous cases also consistent solutions for the heterogeneous cases.

Cell fate determination is influenced by Notch heterogeneity.

Notch signaling (NS) determines the fate of adjacent cells during metazoans development. This intercellular signaling mechanism regulates diverse development processes like cell differentiation, proliferation, survival and is considered responsible for maintaining cellular homeostasis. In this study, we elucidate the role of Notch heterogeneity (NH) in cell fate determination. We studied the role of NH at intercellular, intracellular and the coexistence of Notch variation simultaneously at the intracellular and intercellular level in direct cell-cell signaling on an irregular cell mosaic. In addition, the effect of intracellular Notch receptor diffusion on an irregular cell lattice is also taken into account during Delta-Notch lateral inhibition (LI) process. Through mathematical and computational models, we discovered that the classical checkerboard pattern formation can be reproduced with an accuracy of 70-81% by accounting for NH in a realistic epithelial layer of multicellular organisms.

Stress-constrained thermo-elastic topology optimization of axisymmetric disks considering temperature-dependent material properties

The lightweight design of turbine disks is challenging due to the extreme thermomechanical service environment which leads to high stress and temperature-dependency of material properties. The simplified engineering design method which uses uniform material properties at fixed temperature would lead to either unsafe or conservative designs. In this article, a stress-constrained thermo-elastic topology optimization method is proposed for axisymmetric disks considering temperature-dependent material properties. The temperature-dependent property functions fitted from the material test data are used to determine the material properties of each element according to the element’s average temperature. The strain energy constraint is added into the optimization formulation in order to prevent isolated material and severe violation of stress constraint caused by abrupt volume change. The Helmholtz filter and Heaviside projection are utilized to eliminate the checkerboard pattern and ensure distinct solid/void interfaces in the optimization results, respectively. The geometry extraction from the optimization results is easily implemented by the Least Square Fitting with B-spline Method. In the illustrative examples, the effectiveness of the proposed method in obtaining lighter disk designs is demonstrated in comparison to the design obtained by the simplified engineering method and the traditional single-web disk design. The ability of the proposed method to deal with arbitrary nonuniform temperature field is also demonstrated and it is learned that lighter disk design can be obtained if the temperature field has a lower radial temperature gradient at the disk hub.

The Limiting Spectral Measure for an Ensemble of Generalized Checkerboard Matrices

Random matrix theory successfully models many systems, from the energy levels of heavy nuclei to zeros of L-functions. While most ensembles studied have continuous spectral distribution, Burkhardt et al. introduced the ensemble of k-checkerboard matrices, a variation of Wigner matrices so that entries in a checkerboard pattern are some fixed constant. In this family, N - k of the eigenvalues are of order square-root of N, and were called bulks, while the rest are tightly contrained around certain multiples of N and were called blips.&#x0D; We extend their work by allowing the fixed entries to take different constant values. We can construct ensembles with blip eigenvalues at any multiples of N we want and with any multiplicity. For example, we can have the blips occur at sequences such as the primes or the Fibonaccis. The presence of multiple blips creates technical challenges to separate them and to look at only one blip at a time. We overcome this by choosing a suitable weight function which allows us to localize at each blip, and then exploiting cancellation to deal with the resulting combinatorics to determine the average moments of the ensemble; we then apply standard methods from probability to prove that almost surely the limiting distributions of the matrices converge to the average behavior as the matrix size tends to infinity. For blips with just one eigenvalue in the limit we have convergence to a Dirac delta spike, while if there are k eigenvalues in a blip we again obtain hollow k by k GOE behavior.