Small Space Research Articles

근원적 인지 메커니즘을 통한 난독증 탐구

Objectives The purpose of this paper is to identify dyslexia among various types of learning disabilities, explain its manifestation mechanism, and demonstrate it clinically.
 Methods This paper shows that through the fundamental cognitive mechanism, not only can the characteristics of dyslexia be understood in the most fundamental, essential, and holistic way, but also a better understanding of how dyslexia is fundamentally manifested. For clinical proof, non-verbal intelligence test (K-CTONI-2), Korean version of Children's Visual Perception Development Test (K-DTVP-3), the Korean Reading Test (KOLRA), and speech hearing test were administered to 7 elementary school students who continued to experience difficulties despite receiving reading education.
 Results Dyslexia begins with an excessively imbalanced structure of the brain's large visual and small auditory cognitive spaces. Due to the imbalance between the two cognitive spaces, visual acuity and visual memory appear strong, while auditory acuity and auditory memory appear weak, resulting in auditory internal attention deficit, which is the most important cognitive condition for language development. Auditory internal attention deficit in turn interferes with auditory information processing, resulting in serious difficulties in written language development and various symptoms observed in dyslexic children. The test results showed a low auditory function score compared to a high visual function score.
 Conclusions Dyslexia occurs due to functional defects in hierarchical cognitive processes such as auditory sensation, memory, and thought processing caused by an imbalance between the brain's small auditory cognitive space and large visual cognitive space. This paper presents directions for effective dyslexia treatment based on research results.

Selective-collective scalable locomotion control of helical magnetic swimmers within confined channels using global magnetic fields

Achieving selective-individual and collective control over multiple magnetic microrobots remains a formidable challenge. Existing techniques for controlling identical magnetic swimmers are often limited to two-dimensional, small working spaces, while heterogeneous swimmers can only be controlled in small numbers without the option for collective control. In this study, we present a purely magnetic control methodology for the selective-scalable locomotion of helical magnetic swimmers within confined channels. By employing a unique gradient field distribution, referred to as the "selection field," along with space-uniform rotating fields, we establish a "selection volume" that allows swimmers within it to fully rotate, while those outside remain stationary. We explore various conditions of the selection volume to analyze the locomotion dynamics of the swimmers in relation to the position of the selection volume. Experimental results demonstrate the selective-scalable locomotion of identical robots, ranging from one to an arbitrary number (N) of robots, as well as their selective-individual manipulation for multitasking applications. Furthermore, compatibility of the proposed method with different magnetic torque-driven robots is exemplified through the selective control of rolling robots. Moreover, three-dimensional selective-scalable control is also demonstrated for four swimmers in a quasi-three-dimensional channel, as well as for two swimmers within a true three-dimensional channel.

Reidentification of Participants in Shared Clinical Data Sets: Experimental Study

Background Large curated data sets are required to leverage speech-based tools in health care. These are costly to produce, resulting in increased interest in data sharing. As speech can potentially identify speakers (ie, voiceprints), sharing recordings raises privacy concerns. This is especially relevant when working with patient data protected under the Health Insurance Portability and Accountability Act. Objective We aimed to determine the reidentification risk for speech recordings, without reference to demographics or metadata, in clinical data sets considering both the size of the search space (ie, the number of comparisons that must be considered when reidentifying) and the nature of the speech recording (ie, the type of speech task). Methods Using a state-of-the-art speaker identification model, we modeled an adversarial attack scenario in which an adversary uses a large data set of identified speech (hereafter, the known set) to reidentify as many unknown speakers in a shared data set (hereafter, the unknown set) as possible. We first considered the effect of search space size by attempting reidentification with various sizes of known and unknown sets using VoxCeleb, a data set with recordings of natural, connected speech from >7000 healthy speakers. We then repeated these tests with different types of recordings in each set to examine whether the nature of a speech recording influences reidentification risk. For these tests, we used our clinical data set composed of recordings of elicited speech tasks from 941 speakers. Results We found that the risk was inversely related to the number of comparisons an adversary must consider (ie, the search space), with a positive linear correlation between the number of false acceptances (FAs) and the number of comparisons (r=0.69; P<.001). The true acceptances (TAs) stayed relatively stable, and the ratio between FAs and TAs rose from 0.02 at 1 × 105 comparisons to 1.41 at 6 × 106 comparisons, with a near 1:1 ratio at the midpoint of 3 × 106 comparisons. In effect, risk was high for a small search space but dropped as the search space grew. We also found that the nature of a speech recording influenced reidentification risk, with nonconnected speech (eg, vowel prolongation: FA/TA=98.5; alternating motion rate: FA/TA=8) being harder to identify than connected speech (eg, sentence repetition: FA/TA=0.54) in cross-task conditions. The inverse was mostly true in within-task conditions, with the FA/TA ratio for vowel prolongation and alternating motion rate dropping to 0.39 and 1.17, respectively. Conclusions Our findings suggest that speaker identification models can be used to reidentify participants in specific circumstances, but in practice, the reidentification risk appears small. The variation in risk due to search space size and type of speech task provides actionable recommendations to further increase participant privacy and considerations for policy regarding public release of speech recordings.

Fine-Tuning Melt Pools and Microstructures: Taming Cracks in Powder Bed Fusion—Laser Beam of a non-weldable Ni-base Superalloy

Powder Bed Fusion – Laser Beam (PBF-LB) of high γ’ strengthened Ni-base superalloys, such as CM247LC, is of great interest for high temperature applications in gas turbines. However, PBF-LB of CM247LC is challenging due to the high cracking susceptibility during PBF-LB processing (solidification cracking) and heat treatment (strain age cracking, mostly caused by residual stresses). This study focuses on understanding the impact of process parameters on microstructure, residual stresses and solidification cracking. Laser power (P), speed (v) and hatch spacing (h) were varied while the layer thickness (t) was fixed. The melt pool size and shape were found to be key factors in minimizing solidification cracking. Narrower and shallower melt pools, achieved using a low line energy density (LED = P/v ≤ 0.1 J/mm), gave low crack densities (0.7 mm/mm2). A tight hatch spacing (h = 0.03 mm) resulted in reduced lack of fusion porosity. Electron backscatter diffraction investigations revealed that parameters giving finer microstructure with 〈100〉 crystallographic texture had low crack densities provided they were processed with a low LED. Atom probe tomography elucidated early stages of spinodal decomposition in the as-built condition, where Cr and Al cluster separately. The extent of spinodal decomposition was found to be affected by the LED and the hatch spacing. Samples with low LED and small hatch spacing showed higher degrees of spinodal decomposition. X-ray diffraction residual stress investigations revealed that the residual stress is proportional to the volumetric energy density (VED = P/(v. h. t)). Although low residual stresses can be achieved by using low VED, there is a high risk of lack of fusion. Hence, other parameters such as modified scan strategy, build plate pre-heating and pulsed laser mode, must be further explored to minimize the residual stresses to reduce the strain age cracking susceptibility.

Histomorphological and histochemical features of atresia of antral follicles of water buffaloes

The present study aimed to characterize the atresia of antral follicles of buffalo. Two types of atresia, cystic and obliterative, were observed in the buffalo ovary. The cystic atresia was characterized by complete degeneration of the granulosa cells with the antrum filled with fluid. In obliterative atresia, the granulosa cells degenerated, and the surrounding theca cells started invaginating into the antrum. The ingrowth of these connective tissues filled the antrum. The histological picture of tertiary follicles showed that the atresia occurred in successive stages. The atretic changes observed were pyknosis of granulosa cells, the creation of small spaces between the cells, and the loosening of the cumulus oophorus cells. Two patterns were observed based on the start of atresia, i.e. antral atresia and basal atresia. At places, call-exner bodies were observed in the granulosa cell layer. The collagen fiber-containing basal lamina started separating from the theca layer at locations and later became hypertrophied in the cystic atresia type. In contrast, in the obliterative atresia, the collagen fibers were seen as abundant in growth towards the lumen and later, it filled the whole antral cavity. Disruptions of reticular fibers as stained with Gridley’s stain were observed in the cystic type of atresia, and ingrowth of reticular fibers in the antrum and formation of corpus atreticum were contributed by reticular fibers also.

Back to the Future of Metabolism-Advances in the Discovery and Characterization of Unknown Biocatalytic Functions and Pathways.

The architecture, organization, and functioning of biocatalytic reaction networks, which are coded in the cell-specific genome and which work together in the small space of biological cells, are a fascinating feature of life evolved over more than 3 billion years. Knowledge about the diversity of biocatalytic functions and metabolic pathways sustaining life on our planet is highly important, especially as the currently occurring loss of biodiversity is considered a planetary boundary that is at high risk, and knowledge about the life of current biological organisms should be gained before they become extinct. In addition to the well-known enzymatic reactions involved in biochemical pathways, the enzyme universe offers numerous opportunities for discovering novel functions and pathways. Maintaining thousands of molecules and reactions functioning properly within biological cells, which may be exposed to various kinds of external hazards, environmental stress, enzymatic side reactions, or non-enzymatic chemical reactions, is key for keeping cellular life healthy. This review aims to outline advances in assigning enzyme functions to protein sequences and the discovery of novel biocatalytic functions and pathways.

Confined synthesis of conjugated microporous polymers for selective photocatalytic oxidation of amines

Photocatalytic oxidative coupling of amines is considered a mild, efficient, and sustainable strategy for the synthesis of imines. As a versatile organic semiconductor, conjugated microporous polymers (CMPs) are attractive in photocatalysis areas due to the diversity of their polymeric monomers. Herein, we report that in addition to the design of monomers, size-confined polymerization is also a feasible strategy to modulate the structure and photocatalysis properties of CMPs. We adopted dibromopyrazine as polymeric units to prepare pyrazine-involved hollow spherical CMPs (H-PyB) using a template method and successfully performed size-confined polymerization of hollow samples by resizing the templates. Interestingly, the small confinement space induced the formation of CMPs with better conjugate extensibility, resulting in enhanced conductivity, narrowed bandgaps, improved photoelectric performance, etc. As a result, small-sized H-PyB CMPs had superior activity for the photocatalytic oxidation of amines. Particularly, the smallest H-PyB CMPs that we designed in the present work exhibited excellent performance for the photocatalytic coupling oxidation of amines. When using benzylamine as a model substrate, the yield of the corresponding imine reached ∼ 113 mmol·g−1·h−1, accompanied by almost 100 % selectivity. Furthermore, the as-designed confined samples exhibited stable photocatalytic activity as well as good applicability for oxidative coupling of different amines. This work not merely reports a kind of CMP photocatalysts with excellent performance for the imine coupling oxidation but also proposes an alternative strategy for constructing high-performance organic photocatalysts by size-confined synthesis.

Quantum image encryption algorithm based on four-dimensional chaos

Background: Quantum image processing is rapidly developing in the field of quantum computing, and it can be successfully implemented on the Noisy Intermediate-Scale Quantum (NISQ) device. Quantum image encryption holds a pivotal position in this domain. However, the encryption process often encounters security vulnerabilities and entails complex computational complexities, thereby consuming substantial quantum resources. To address this, the present study proposes a quantum image encryption algorithm based on four-dimensional chaos.Methods: The classical image is first encoded into quantum information using the Generalized Quantum Image Representation (GQIR) method. Subsequently, the trajectory of the four-dimensional chaotic system is randomized, and multi-dimensional chaotic keys are generated to initially encrypt the pixel values of the image. Then, the Arnold transformation is applied to randomly encrypt the pixel positions, resulting in the encrypted image. During the decryption process, the inverse process of encryption is employed to restore the original image.Results: We simulated this process in the Python environment, and the information entropy analysis experiment showed that the information entropy of the three encrypted images reached above 7.999, so the system has good encryption. At the same time, the correlation of the pixel distribution after the encryption algorithm is weak, which proves that the control parameters of the chaotic system can effectively reduce the correlation between pixels in the image. In the final key space analysis, the key space issued by our encryption can reach $10140\gg 2128$.Conclusion: Our method is resistant to destructive attacks and can produce scrambled images with higher encryption and usability. This algorithm solves the problems of general encryption algorithms such as periodicity, small key space, and vulnerability to statistical analysis, and proposes a reliable and effective encryption scheme. By making full use of the characteristics of Arnold transformation permutation, ergodicity and the randomness of the four-dimensional chaotic system, the encryption algorithm uses the larger key space provided by the four-dimensional Lorenz system.

Deep learning‐based space debris detection for space situational awareness: A feasibility study applied to the radar processing

AbstractThe increasing number of space objects (SO), debris, and constellation of satellites in Low Earth Orbit poses a significant threat to the sustainability and safety of space operations, which must be carefully and efficiently addressed to avoid mutual collisions. The space situational awareness is currently addressed by an ensemble of radar and radio‐telescopes that detect and track SO. However, a large part of space debris is composed of very small and tiny metallic objects, very difficult to detect. The authors demonstrate the benefits of using deep learning (DL) architectures for small space object detection by radar observations. TIRA radio telescope has been simulated to generate range‐Doppler maps, then used as inputs for object detection exploiting You‐Only‐Look‐Once (YOLO) frameworks. The results demonstrate that the object detection by using YOLO algorithms outperform conventional target detection approaches, thus indicating the potential benefits of using DL techniques for space surveillance applications.

Small Robot Vehicle Developed for Multi-purpose Industrial Use

The small robotic vehicle presented in this article is a special, multifunctional vehicle that can perform diagnostic tasks in several different areas. Examination of heat release and heat losses, which characterizes the efficiency of processes in many technical areas. A device that penetrates into small spaces may be needed. In this area, an important task is to navigate the device to the right place under trucks and cars to perform thermal camera diagnostics. The examination of excessive heat emission is extremely important to filter out faulty transmission systems, faulty engines, and to detect excessively hot brake drums, which are unfortunately also responsible for causing many serious accidents and fires.The remote-controlled navigation robot with a camera presented in the article is perfectly suited for the above task, as it can also transmit the image of the thermal camera to a remote display. In addition to automotive applications, the device can also be used for other industrial purposes and machine diagnostic tasks. I According to the current European Union building energy regulations, new buildings must have almost zero energy requirements. The so-called thermal bridges must be calculated for both old and new buildings under construction.A useful solution to this problem can be the quick and cost-effective energetic measurement and classification of thermal bridges, factors, and structural elements that cause heat loss. The Heat Spotter robotic vehicle presented and built in the article is suitable for the above tasks, ready to be manufactured and quickly paying for itself.

Insights into the efficient water treatment over N-doped carbon nanosheets with layered minerals as template: The role of interfacial electron tunneling and transfer

Peroxymonosulfate (PMS) oxidation reactions have been extensively studied recently. Due to the high material cost and low catalytic capability, PMS oxidation technology cannot be effectively applied in an industrial water treatment process. In this work, we developed a modification strategy based on enhancing the neglected electron tunneling effect to optimize the intrinsic electron transport process of the catalyst. The 2D nitrogen-doped carbon-based nanosheets with small interlayer spacing were prepared by self-polymerization of dopamine hydrochloride inserted into the natural layered bentonite template. Systematic characterizations confirmed that the smaller layer spacing in the 2D nitride-doped carbon-based nanosheets reduces the depletion layer width. The weak electronic shielding effect derived by the small layer spacing on the material subsurface enhanced the bulk electron tunneling effect. More bulk electrons could be migrated to the catalyst surface to activate PMS molecules. The PMS activation system showed ultrafast oxidation capability to degrade organic pollutants and strong ability to resist interference from environmental matrixes due to the optimized electron transfer process. Furthermore, the developed membrane reactor exhibited strong catalytic stability during the continuous degradation of P-Chlorophenol (CP).

A survey of stage acoustic conditions for choral performances

Choral performances, due to a very large number of non-professional groups often operating in small cities, frequently take place in non-dedicated spaces like churches, open atria, and other spaces with unusual acoustic conditions. This results in performances taking place in spaces without a real “stage” and consequently, in acoustic conditions that, as reported by several interviews, lack support and communication among singers. In order to better understand the effective acoustic conditions experienced in real spaces that frequently host choral performances, an on-site survey was carried out in six venues including one semi-open atrium and five churches of different styles and dimensions. Measurements were carried out according to ISO 3382-1 requirements, also taking into account the most recent proposals in terms of stage support to account for actual source directivity and presence of reflecting elements close to the source. Results showed that smaller spaces where vertical surfaces where more likely to be closer to the performers behaved better than large spaces where side volumes (like transepts or high domes) mostly withdrew acoustic energy yielding STearly values much lower than −12 dB.

Assessing the Relationship between Land Surface Temperature and Composition Elements of Urban Green Spaces during Heat Waves Episodes in Mediterranean Cities

In the context of escalating global temperatures and intensified heat waves, the Mediterranean region emerges as a noteworthy hotspot, experiencing a surge in the frequency and intensity of these extreme heat events. Nature-based solutions, particularly management of urban green infrastructure (UGI) areas, have shown promising outcomes in adapting urban areas to the challenges posed by heat waves. The objective of the current study is twofold: firstly, to identify the compositional patterns of strategically distributed small public green spaces, demonstrating their enhanced capacity to mitigate the impact of heat waves in the Mediterranean region; secondly, to assess the association, direction, and explanatory strength of the relationship between the composition elements of the UGI areas and area typology, specifically focusing on the variation in land surface temperature (LST) values during heat wave episodes spanning from 2017 to 2023. The methodology involved obtaining land surface temperature (LST) values from satellite images and classifying green areas based on composition, orientation, and typology. Ordinal multiple regressions were conducted to analyze the relationship between the considered variables and LST ranges during heat wave episodes that occurred from 2017 to 2023. The findings indicate an increase in LST ranges across many areas, emphasizing heightened thermal stress in a Mediterranean medium-sized compact city, Granada (in the southeast of the Iberian Peninsula). Traditional squares, pocket parks and gardens, and pedestrian areas with trees and impervious surfaces performed better in reducing the probability of exceeding LST values above 41 °C compared to other vegetated patches mainly occupied by herbaceous vegetation and grass. The study concludes by advocating for the strategic incorporation of vegetation, especially trees, along with traditional squares featuring semipermeable pavement with trees and shrubbery, as a potential effective strategy for enhancing resilience against extreme heat events. Overall, this research enhances our understanding of LST dynamics during heat waves and offers guidance for bolstering the resilience of urban green spaces in the Mediterranean region.

Highly Shape-Adaptable Honeycomb Gripper Using Orthotropic Surface Tension

Astrictive-type grippers, which generate gripping forces from adhesive forces at the contact surface such as suction cup, are popular end-effectors as picking solutions because of their simplicity and small working space. However, the adhesive force of the astrictive gripper decreases with increasing complexity of the object surface; thus, its application has been restricted to simple picking of objects with a flat surface. Here, we present an all-round honeycomb astrictive gripper that has an orthotropic surface tension for grasping highly irregular shaped objects with an uneven surface. The design is inspired by mimicking the two-level (macro- and meso-scale) shape adaptation of the octopus's leg. The stiffness-variable structure is also consisted to change its stiffness similar to the function of octopus's leg, and owing to the combination of these structures makes possible to perform various tasks including hammering, breakfast serving, and vaccination which were not possible for previous astrictive gripper.

Design and test of walk-type rice potted seedling transplanting machine

At present, rice potted seedling transplanting machine is mostly suitable for high-speed, large seedlings and large plant distance rice transplanting. In order to adapt to the transplanting of different types of rice potted seedlings, this study carried out theoretical research and institutional design for transplanting rice potted seedlings suitable for small seedlings and small plant spacing. A 2R open-chain rice potted seedling transplanting mechanism with two non-circular gears meshing to achieve the ideal transplanting posture was developed, and an optimization software for potted seedling transplanting was developed by establishing the kinematic model of the transplanting mechanism, which simulated the motion trajectory and attitude of the transplanting arm during the transplanting process. Through the optimization of the optimization design software parameters, a set of parameters that meet the requirements of transplanting rice potted seedlings in the rear insert rice potted are obtained, a transplanting mechanism suitable for walking rice potted seedling transplanting machine is designed and developed, and the experiments of rice potted seedling picking, conveying and planting are completed. The success rate of the designed walk-type rice potted seedling transplanting mechanism on the bench was 96.7%, and the qualification rate of the whole machine transplanting test was 89.1%.

Effect of emitter tip spacing on Si vacuum field emitter arrays

This paper presents a qualitative and quantitative analysis of close-packed vacuum field emitter arrays. Through a combination of computational simulations and experimental verifications, the relationship between emitter spacing and electric field screening is studied. In order to obtain a uniform electron emission and large current densities from a field emitter array, it is essential to minimize the screening effect between the adjacent field emitters. As previously demonstrated, sharpening the emitter tips, reducing the background doping concentration of the emitters, and reducing the anode–cathode distance can suppress the screening effect. Field emitter arrays with different sizes and emitter spacings are fabricated and characterized. Decreasing the array size and increasing emitter spacing lead to a larger average current per emitter (19 nA/tip at an anode voltage of 250 V). However, larger current densities (up to 3.3 A/cm2) are observed in close-packed arrays. In very large arrays with a small emitter spacing, the current is scaled with the emitter area (∼4.2 nA/emitter at an anode voltage of 250 V), indicating a small current contribution from the sides of the array.

MDou: Accelerating DouDiZhu Self-Play Learning Using Monte-Carlo Method With Minimum Split Pruning and a Single Q-Network

Artificial Intelligence (AI) has demonstrated outstanding performance in some perfect- and imperfect-information games, such as Go, Atari, and Texas Hold'em. Even though AI is successful in these games with small action spaces, it does not play well in large-scale multi-player, imperfect-information games like DouDiZhu. DouZero, a DouDizhu AI system, has recently been proposed and beaten all the existing DouDizhu AI programs. This paper introduces Minimum Split Pruning (MSP) and a single Q-network to accelerate the training of DouZero, called MDou. Our experiments show that MDou improved through self-play using limited computational ability (only a 4-core CPU and 1 GPU) and less learning time (30 days) while achieving comparable performance to DouZero.

Enabling the transfer matrix method to model serial–parallel compliant mechanisms including curved flexure beams

AbstractCompliant mechanisms with curved flexure hinges/beams have potential advantages of small spaces, low stress levels, and flexible design parameters, which have attracted considerable attention in precision engineering, metamaterials, robotics, and so forth. However, serial–parallel configurations with curved flexure hinges/beams often lead to a complicated parametric design. Here, the transfer matrix method is enabled for analysis of both the kinetostatics and dynamics of general serial–parallel compliant mechanisms without deriving laborious formulas or combining other modeling methods. Consequently, serial–parallel compliant mechanisms with curved flexure hinges/beams can be modeled in a straightforward manner based on a single transfer matrix of Timoshenko straight beams using a step‐by‐step procedure. Theoretical and numerical validations on two customized XY nanopositioners comprised of straight and corrugated flexure units confirm the concise modeling process and high prediction accuracy of the presented approach. In conclusion, the present study provides an enhanced transfer matrix modeling approach to streamline the kinetostatic and dynamic analyses of general serial–parallel compliant mechanisms and beam structures, including curved flexure hinges and irregular‐shaped rigid bodies.

Implementation of Technology Utilization in Increasing Learning Motivation in Christian Religious Education for Students at SPNF SKB Sonder

The development of technology can increase student motivation in learning Christian religious education, especially in the application of learning systems that focus on the use of technology. With its implementation, PAK teachers must develop an PAK learning system based on technology, because the teacher is the pivot in every learning inside and outside the classroom. Changes and dynamics occur in the learning system, so PAK must be taught in the public space as well as within the confines of a fixed small space (classroom) which is the foundation for the essence of Christian values. The purpose of this writing is to find out how the implementation of the use of technology in increasing motivation to learn Christian religious education for students at SPNF SKB Sonder. In this study using qualitative research with an approach through interviews and literature study. The results and conclusions are first, Technology is important in the Learning Process, because educational technology motivates students to work independently where students are more motivated to return to study and work because modern technical equipment is available as a supporting facility in equipping students to understand each material. Second, the existence of technology will increase the learning motivation of students, especially PAK learning, PAK teaching is a vehicle for implementing technology in an effective manner, so that students can clearly understand what is being taught, because it is assisted with audio-visual media and packaging so that the learning model does not become bored so that students can freely learn and motivate students in improving achievements that are in the axis of knowing God's work in the Bible which is displayed through technology.

SUSTAINABLE ARCHITECTURE APPLIED TO THE DESIGN OF THE HOUSING CORE

This article presents the results of research focused on the design of core housing as a product, process, and continuous transformation system, achieved through a unified space, as a recurring solution since the origins of humankind and an alternative for small spaces. The proposal for affordable housing in Cuenca for low-income populations is based on an approach that involves not only the housing solution but also the relationship with people's ways of living, bioclimatic criteria, and the study of a sustainable construction system. Qualitative research methodologies and transdisciplinary workshops were used to create spaces for discussion and verification with the participation of various stakeholders. Therefore, the research work integrated people's ways of living, the use of local materials, and indoor comfort conditions. After tabulating the gathered data, the design of the core housing was carried out, enabling the design to accommodate the ways people live, rather than the other way around. Ultimately, enabling appropriation according to specific needs of diverse family compositions, in addition to a sustainable construction system as an ecological and economical solution.