Clothing Research Articles

Thematic Learning in the Independent Curriculum in Elementary Schools Based on the Islamic Montessori Method for Multiple Intelligence

Recently, the practice of categorizing intelligent students and unintelligent students is a deeply ingrained phenomenon within the realm of education in Indonesia. Indeed, multiple specialists have verified that the attributes of intelligence vary among individual students. Hence, this study aims to revolutionize theme education in primary schools by implementing an autonomous curriculum that is rooted in the Islamic Montessori for Multiple Intelligence approach. This study employs the library research methodology, utilizing primary and secondary data derived from printed or digital sources such as books, journals, and magazines. The outcome of this discussion is to generate a set of activities for different domains of learning. These activities include folding clothes or buttoning clothes for the Islamic Studies domain, hand washing for the practical life domain, matching pictures with zones for the sensorial domain, matching words for the language domain, matching numbers for the mathematical domain, matching fruit with pictures for the cultural realm, and drawing or creating ecobricks for the arts & crafts realm. These diverse educational approaches involve the creation of a curriculum centered around the Islamic Montessori for Multiple Intelligence method, with the aim of promoting a healthy and virtuous lifestyle. These methods can be effectively utilized by teachers during classroom instruction. Through the development of diverse learning activities, education will be conducted in a more comprehensive manner, tailored to the individual traits and capabilities of each student. This approach to designing educational activities can thereafter be implemented in the instruction of young children in primary schools.

Different gait combinations based on multi-modal deep CNN architectures

Gait recognition is the process of identifying a person from a distance based on their walking patterns. However, the recognition rate drops significantly under cross-view angle and appearance-based variations. In this study, the effectiveness of the most well-known gait representations in solving this problem is investigated based on deep learning. For this purpose, a comprehensive performance evaluation is performed by combining different modalities, including silhouettes, optical flows, and concatenated image of the Gait Energy Image (GEI) head and leg region, with GEI itself. This evaluation is carried out across different multimodal deep convolutional neural network (CNN) architectures, namely fine-tuned EfficientNet-B0, MobileNet-V1, and ConvNeXt-base models. These models are trained separately on GEIs, silhouettes, optical flows, and concatenated image of GEI head and leg regions, and then extracted GEI features are fused in pairs with other extracted modality features to find the most effective gait combination. Experimental results on the two different datasets CASIA-B and Outdoor-Gait show that the concatenated image of GEI head and leg regions significantly increased the recognition rate of the networks compared to other modalities. Moreover, this modality demonstrates greater robustness under varied carrying (BG) and clothing (CL) conditions compared to optical flows (OF) and silhouettes (SF). Codes available at https://github.com/busrakckugurlu/Different-gait-combinations-based-on-multi-modal-deep-CNN-architectures.git

Investigation of the influence of the environment on the electrical properties of textile clothing materials

Investigation that Elevated levels of static electricity build-up on the surfaces of work clothes, different technological structures, and polymeric materials can cause disruptions to the techno-bio system, resulting in adverse physiological effects in humans, accidents caused by humans, and environmental disasters. Under conditions of low temperatures, electrostatic charge on polymeric materials is intensively generated. Synthetic materials have an increased ability to electrify. The processes were studied the mechanisms of the occurrence of a electricity an polymer materials of clothing in winter. The logical structure of the model of the formation of an electrostatic field on the surface of polymer materials of objects in environmental conditions during a snowstorm has been developed. A set of materials for experimental thermal protective clothing was investigated. The findings from the investigation into the process of electrification in the layers of materials used to make thermally protective clothing are gathered and given. As follows from the graphs, the limiting value of the electrostatic field strength can occur already with an external field of 15000 V/m. The formation of charges is facilitated by the physical conditions of the snowstorm electrification in the system of polymer structures.

Prompting cognitive assistive technology for multistep tasks in dementia homecare: Testing of mode and sequencing options

AbstractFor people living with dementia, information‐processing capabilities and previously acquired knowledge is generally limited. Daily tasks such as making coffee or teeth brushing may become too difficult to complete independently. People with normal cognitive functioning learn about the environment as they move through it with spatial information obtained sequentially, requiring mental activity to process this successive input into a comprehensive understanding of a task. Without this ability, individuals with dementia in many cases then rely on repetitive cuing for tasks from their family member or caregiver. The approach for this project was the evaluation of task prompting for a wearable cognitive assistive technology for support in cueing on for multi‐step home tasks. Choosing meaningful tasks, and breaking them down in a way that a caregiver would usually provide prompting support is not trivial. The physical or environmental context of the task can also affect the flow of the task, and the personality of the person carrying out the task can influence how methodically the prompts are followed. The testing took place in a lab setting set up to represent a one‐bedroom apartment. A sample of older adults 65+ took part in a series of protocols for eight multi‐step tasks and for each task four delivery modes options (written text, audio, still photo, video) and four sequencing modes (auto‐generated, self‐request, one‐time, step by step) which included: kitchen‐ loading the dishwasher, setting the table and making coffee, bedroom‐ making the bed, folding clothes, bathroom‐ brushing teeth, hand washing and face washing. This pre‐testing of system components was performed in order to reduce marginal risks, increase effectiveness, and maximize benefits for the end‐user population of individuals with dementia who will test the device in future projects and the outcomes from this research will ultimately enable the mode and sequencing of task prompting for this populations' frequently changing needs.

Angle-programmed tendril-like trajectories enable a multifunctional gripper with ultradelicacy, ultrastrength, and ultraprecision

Achieving multicapability in a single soft gripper for handling ultrasoft, ultrathin, and ultraheavy objects is challenging due to the tradeoff between compliance, strength, and precision. Here, combining experiments, theory, and simulation, we report utilizing angle-programmed tendril-like grasping trajectories for an ultragentle yet ultrastrong and ultraprecise gripper. The single gripper can delicately grasp fragile liquids with minimal contact pressure (0.05 kPa), lift objects 16,000 times its own weight, and precisely grasp ultrathin, flexible objects like 4-μm-thick sheets and 2-μm-diameter microfibers on flat surfaces, all with a high success rate. Its scalable and material-independent design allows for biodegradable noninvasive grippers made from natural leaves. Explicitly controlled trajectories facilitate its integration with robotic arms and prostheses for challenging tasks, including picking grapes, opening zippers, folding clothes, and turning pages. This work showcases soft grippers excelling in extreme scenarios with potential applications in agriculture, food processing, prosthesis, biomedicine, minimally invasive surgeries, and deep-sea exploration.

Temperature field simulation and microstructure evolution of Fe-based coating processed by extreme high-speed laser cladding for re-manufacturing locomotive axle

With the rapid development of Chinese railway network in the last decade, the number of scrapped locomotive axles is increasing year by year due to various damages. Re-manufacturing is an effective way to save resources and reduce carbon footprint for developing an environmental-friendly society. In the present work, Fe-based alloy powder was deposited on the surface of a 25CrMo4 steel using extreme high-speed laser cladding (EHLA). The optimum processing parameters were determined through range analysis, and the thermal effect to the substrate was studied by numerical simulation. The depth of heated-affected zone (HAZ) was obtained by both experimental method and numerical simulation approach, and the results showed good agreement. The microstructure evolution, phase composition, and mechanical properties of the cladding layer were investigated systematically. The cladding layer was mainly consisted of austenite, ferrite, and carbides. The microstructure evolution exhibited a gradient variation from the interface to the top of cladding layer, which was similar to conventional laser cladding (CLA). Furthermore, the quenching effect to the substrate changed the microstructure from sorbite to martensite, leading to the formation of hardening layer beneath the cladding layer. The cladded sample exhibited higher tensile strength but lower elongation compared with 25CrMo4 substrate, which was detrimental to the service life of locomotive axles.

El Abad del Monasterio de Poblet como Limosnero Real y su rendición de cuentas (S. XIV)

El artículo, una vez hecha una síntesis de las características del siglo XIV en la Corona de Aragón y Cataluña y de los acontecimientos históricos y económicos más relevantes, ofrece unas líneas sobre el monasterio de Poblet, su creación en 1150 a partir de los terrenos entregados por el conde de Barcelona, la evolución hasta llegar al siglo XIV, época en la que el rey Pedro el Ceremonioso instituye al limosnero real, que representa el núcleo central de nuestro estudio. A partir de unos manuscritos datados a finales del siglo XIV por el limosnero real y que son las anotaciones correspondientes a los movimientos de entrada y salida de las limosnas y de las Ordenanzas dictadas por el rey Pedro IV, tenemos conocimiento de las cantidades que éste disponía que debían ser entregadas en forma de dádivas a los beneficiarios de las mismas, así como sus destinatarios, que abarcan a casi todos los estamentos sociales, puesto que además de ser recibidas por los pobres menesterosos en auxilio de pitanza o de vestimenta, también son destinatarios los mo nasterios, los clérigos para recibir alimento tanto para el cuerpo como para la mente -formación-, las pecadoras para redimirse y los peregrinos, así como algún noble sobre el que pendiera la desgracia. Los documentos nos permiten conocer como se donaba la limosna real, las personas que intervenían (dos limosneros, dos monaguillos y un asistente o servidor), el lugar que ocupaban en la corte real -privilegios y obligaciones-, y lo que para nosotros ha sido más importante, los documentos que toda su administración conllevaba, así como conocer el proceso sobre el que se sustentaba la rendición de las cuentas de la limosna real, y como se produce un endurecimiento en el control de los registros a medida que nos acercamos a las postrimerías del siglo XIV.

DESAIN MEJA SETRIKA LIPAT UNTUK UMKM LAUNDRY DENGAN METODE QUALITY FUNCTION DEPLOYMENT

The growth of laundry every year will increase by 20% and reach 50% in 2022. In the laundry washing process, the process of ironing and folding clothes is a process that requires the most energy and long time. Constraints that occur in the process of ironing and folding clothes cause overload so that many laundries refuse customer requests causing the resulting turnover to be not optimal. The folding ironing table innovation can combine the functions of ironing as well as folding clothes in one process. The Quality Function Deployment (QFD) method is used to get the voice of the customer and build the House of Quality (HOQ) matrix. Customers desire an ironing board product that has strong and sturdy material, ergonomic design, wide table size, flexible and multifunctional, quality base, and has an attractive design. The development of a folding ironing table product design with a strong and sturdy material, specifically stainless steel, as well as an ironing table base that can be rotated and folded flexibly is expected to make the process of ironing and folding clothes more effectiveKeywords : laundry, ironing, folding clothes, Quality Function Deployment, House of Quality

Microstructural evolution and high-temperature oxidation of TiC/IN625 coatings fabricated by multi-layer extreme high-speed laser cladding

The multi-layer TiC/IN625 coatings were deposited on AISI 1045 steel substrate by conventional laser cladding (CLA) and extreme high-speed laser cladding (EHLA). The surface morphology, microstructure and high-temperature oxidation resistance of the TiC/IN625 coatings were characterized and compared. The results showed that the cladding speed has a significant effect on surface quality. Within the range of the set parameters, the best surface quality is obtained when the cladding speed is 49.8 m/min, where Ra is 11.75 μm and Sa is 13.17 μm. The microstructure of the TiC/IN625 coatings is dominated by dendrites. Smaller dendrites arm spacing and no apparent transition layer are found at the layer-to-layer interface in the EHLA sample. A two-layered oxide structure is formed in the cross-section of all samples. The EHLA sample exhibits a lower mass loss compared to the CLA sample, indicating that EHLA sample can withstand high-temperature oxidation. The improvement of high-temperature oxidation resistance is mainly attributed to the lower surface roughness, smaller dendrite size, smaller grain size, and higher amount of LAGBs.

Goal-aware generative adversarial imitation learning from imperfect demonstration for robotic cloth manipulation

Generative Adversarial Imitation Learning (GAIL) can learn policies without explicitly defining the reward function from demonstrations. GAIL has the potential to learn policies with high-dimensional observations as input, e.g., images. By applying GAIL to a real robot, perhaps robot policies can be obtained for daily activities like washing, folding clothes, cooking, and cleaning. However, human demonstration data are often imperfect due to mistakes, which degrade the performance of the resulting policies. We address this issue by focusing on the following features: (1) many robotic tasks are goal-reaching tasks, and (2) labeling such goal states in demonstration data is relatively easy. With these in mind, this paper proposes Goal-Aware Generative Adversarial Imitation Learning (GA-GAIL), which trains a policy by introducing a second discriminator to distinguish the goal state in parallel with the first discriminator that indicates the demonstration data. This extends a standard GAIL framework to more robustly learn desirable policies even from imperfect demonstrations through a goal-state discriminator that promotes achieving the goal state. Furthermore, GA-GAIL employs the Entropy-maximizing Deep P-Network (EDPN) as a generator, which considers both the smoothness and causal entropy in the policy update, to achieve stable policy learning from two discriminators. Our proposed method was successfully applied to two real-robotic cloth-manipulation tasks: turning a handkerchief over and folding clothes. We confirmed that it learns cloth-manipulation policies without task-specific reward function design. Video of the real experiments are available at this URL.

Learning from the Tangram to Solve Mini Visual Tasks

Current pre-training methods in computer vision focus on natural images in the daily-life context. However, abstract diagrams such as icons and symbols are common and important in the real world. We are inspired by Tangram, a game that requires replicating an abstract pattern from seven dissected shapes. By recording human experience in solving tangram puzzles, we present the Tangram dataset and show that a pre-trained neural model on the Tangram helps solve some mini visual tasks based on low-resolution vision. Extensive experiments demonstrate that our proposed method generates intelligent solutions for aesthetic tasks such as folding clothes and evaluating room layouts. The pre-trained feature extractor can facilitate the convergence of few-shot learning tasks on human handwriting and improve the accuracy in identifying icons by their contours. The Tangram dataset is available at https://github.com/yizhouzhao/Tangram.

Learning-Based Fabric Folding and Box Wrapping

Manipulation of deformable objects is an essential task in surgery, the textile industry, and household tasks, such as washing, hanging, and folding clothes. However, current studies on fabric manipulation, have rarely considered the scenes in which rigid objects have to be wrapped by fabrics. This type of operation is widely adopted in the logistic packaging and packaging of surgical instrument baskets. In this study, we propose a method to perform this operation, which can be used in fabric folding or wrapping a box with fabric. Owing to the complex dynamics and configuration spaces of fabric, our method is based on deep imitation learning to estimate pick-place points and the phase of the manipulation process. The dataset was completely generated from an open-source physical simulator. To make the data as realistic as that in actual scenarios, we adopted domain randomization and rendered the texture of fabric and box from the real world to simulation data. This not only helps in transferring the learned policies to a physical robot, but also allows the robot to wrap a box with complex patterns. The experiments demonstrate the efficiency of the developed method for accomplishing complex manipulation tasks. The results also showed that it could be generalized to fabrics with different colors and boxes with different sizes, textures, or geometric shapes.

Genetic diversity of cucumber green mottle mosaic virus (CGMMV) infecting cucurbits

Cucumber green mottle mosaic virus (CGMMV), a well-known Tobamovirus, infects cucurbits across the globe. To determine its current status, molecular characterization, genetic recombination, gene flow and selection pressure, 10 districts from Punjab province of Pakistan were surveyed and a total of 2561 cucurbits samples were collected during 2019–2020. These samples were subjected to virus-specific double antibody sandwich-enzyme linked immunosorbent assay (DAS-ELISA) for the detection of CGMMV. The results revealed that viral disease was prevalent in all surveyed districts of Punjab with an overall 25.69% disease incidence. ELISA positive samples were further confirmed through RT-PCR and sequencing of coat protein (CP) cistron. Sequence analysis showed that the present studied CGMMV isolates have 96–99.5% nucleotide and 94.40–99.50% amino acid identities with those already available in GenBank. Phylogenetic analysis also revealed that understudied isolates were closely related with South Korean (AB369274) and Japanese (V01551) isolates and clustered in a separate clad. Sequence polymorphisms were observed in 663 bp of sequence within 31 CGMMV isolates covering complete CP gene. Total number of sites were 662, of which 610 and 52 sites were monomorphic and polymorphic (segregating), respectively. Of these polymorphic, 24 were singleton variable and 28 were parsimony informative. Overall nucleotide diversity (π) in all the understudied 31 isolates was 0.00010 while a total of 1 InDel event was observed and InDel Diversity (k) was 0.065. Haplotype diversity analysis revealed that there was a total 29 haplotypes with haplotype diversity (Hd) of 0.993458 in all the 31 isolates which provide evidence of less diversity among Pakistani isolates. The statistical analysis revealed the values 2.568, 5.31304 and 4.86698 of Tajima's D, Fu, & Li’s F* and D*, respectively, which witnessed the population of CGMMV was under balanced selection pressure.

Microstructure and corrosion resistance of TiC/Inconel 625 composite coatings by extreme high speed laser cladding

Extreme high speed laser cladding technology (EHLA) can break the efficiency bottleneck of coating production and provide an effective access to prepare high quality coating. In this study, TiC/Inconel 625 composite coating was produced on AISI 1045 substrates by EHLA and conventional laser cladding (CLA), respectively. The microstructure, elements distribution, XRD pattern and corrosion morphology of the coating under different cladding speeds were characterized. The potentiodynamic polarization and electrochemical impedance spectroscopic were implemented for further investigating the corrosion behaviors of the coating. The results indicated that the microstructure of the both coatings exhibited the same growth pattern, changing from cellular crystals or primary columnar crystals to equiaxed crystals. High cladding speed was accompanied by dendrite refinement and uniform elements distribution. The refiner microstructure benefitting from the high cooling rate contributed to the improvement of the coating corrosion resistance. In the process of EHLA, the incorporation of TiC facilitated the formation of interdendritic carbides playing a role of precipitation strengthening. Many dislocation lines and dislocation tangles formed in EHLA coating are conducive to building a dense passive film on the coating surface. Corrosion tests showed that EHLA coating performed superior corrosion resistance compared to CLA coating.

The Foot of Compassion and Complicity

Sym-pathy or com-passion means sharing pain or trouble. Foot and shoe are often employed to denote sympathy as in “If I were in your shoes.” Foot and shoe, albeit less often, can also be a means to represent complicity, which means folding clothes together. People sometimes have to avoid bad memory or situations and want a closer and more personal bond with like-minded people, so that they together forge fictional scenarios that account for hard situations to them. The main objective of this essay is to explore aspects of the liaison between shoe-foot and compassion-complicity in various cultural and textual sources. 1) The pure sympathy or firm ties and its opposite cases are rather simply represented by one’s putting on the same shoes and taking them off respectively. 2) A shaky and unstable bond is indicated by the abnormal or weak foot which impedes walking itself. The self-exiled 20th Irish modernists, Joyce and Beckett, invent walking obstructions such as flat-foot and disabled feet in the depiction of their ambivalent attitude toward the fatherland. 3) Sylvia Plath’s “Daddy” and Sharon Creech’s Walk Two Moons can be said to present certain cases of the complicitous relationship. Mentally stricken, Plath had maintained an imaginary life in the dead father’s boots for 30 years, and, when that relationship was not needed any more, decided to quit her life for good. In Creech’s novel, the two young female classmates whose mothers have equally vanished from home join the complicity which makes them take their situations for a conspiracy-induced one. Only when they wear others’ “moccasins to walk two moons,” their understanding of others can be turned from the narrow and self-serving one to a truly sympathetic one.

Semi Automatic T-Shirt Folding Machine berbasis Proportional Integral Derivative (PID)

Proses melipat baju merupakan salah satu kegiatan yang dilakukan dalam usaha laundry maupun rumah tangga. Kegiatan tersebut terbilang cukup mudah akan tetapi banyak orang yang masih malas melakukannya. Akibatnya pakaian yang selesai dicuci akan berantakan diruang tertentu sehingga mengurangi nilai estetika suatu rumah. Semi Automatic T-Shirt Folding Machine adalah solusi tepat untuk membuat kegiatan melipat baju menjadi lebih mudah dan efisien waktu. Alat ini dibekali motor servo yang menggerakan papan pelipat yang sudah didesain sedemikian rupa sehingga penggunanya hanya perlu manghandle baju sekali saja dan cukup menekan satu tombol maka baju akan terlipat sendiri serta akan tersusun secara rapi melalui papan penumpuk baju. Metode PID diterapkan pada motor DC yang bergerak dibawah pelipat baju sehingga penumpukan baju yang ada dibawah tidak akan tertekan keatas saat baju makin menumpuk saat selesai dilipat. Sensor ultrasonic akan mengukur ketinggian yang pas antara baju dengan pintu pembuka penumpukan baju dengan kp = 1, ki= 0.1, kd = 0.5 untuk baju tipis dan kp = 5, ki = 1, kd = 2.5 untuk baju tebal sehingga pergerakan motor dapat menyesuaikan kecepatannya. Alat ini dapat melipat satu baju dalam 16,83 detik lebih cepat 11 detik daripada melipat baju secara manual.

Study Description of Children Motoric Assessment for Students with Intelektual Disabilities as a Predictor of Self-Help Development Abilities

This research is motivated by a student with intellectual disabilities who have difficulty in the ability to develop themselves in wearing and folding clothes. This study will have an impact on activities of daily life. The purpose of this study was to develop a self-development program in improving motor skills in students with intellectual disabilities. The research subjects were three 9-year-old students with intellectual disabilities who had difficulties in self-development skills. The research method used is qualitative using descriptive analysis method. The results showed that the three students were able to achieve fine motor and gross motor indicators completely. The results of this study are self-development programs to wear and fold clothes in improving the motor skills of the student with intellectual disabilities. The results of the implementation test showed a change in the child's objective condition, an increase in motor skills. With the right and effective self-development program, it is hoped that it can help students with intellectual disabilities in their daily lives.

Automatic Foldron T-Shirt With Proportional Integral Derivative method and M5Stack for IoT-Server

The process of folding clothes is one of the activities carried out in the household, and the laundry business is one of the micro-enterprises that are mushrooming at this time. Business actors use many strategies to increase productivity and customer satisfaction. Based on research, the process of ironing and folding clothes is a process that takes a long time compared to the washing and drying process, so a method or tool is needed to make folding clothes more practical. An automatic Foldron T-Shirt is the perfect solution to make folding and ironing clothes more manageable and time-efficient. This tool is equipped with a servo motor that moves the folding board and a steam iron designed so that the user only needs to control the clothes once and simply press one button; the clothes will fold, and the iron themselves will be neatly arranged. The PID method uses an ultrasonic sensor to measure the speed distance of the wiper motor, which is used to run the steam iron so that it can stop appropriately at the end of the table. The output of this ultrasonic sensor is used as the input (set point) of the PID controller applied to the tip so that the movement of the motor can adjust its speed. Moreover, the M5Stack, equipped with 12 Channel Servo, is used to drive the servo motor on the Application Server, making it more dynamic and flexible.

Clothing Preference Analysis of Elderly Women for ZIGTECHnology Clothing Development

Clothing Preference Analysis of Elderly Women for ZIGTECHnology Clothing Development

An Investigative Study on Consumer Emotion by Online Purchase Process: Focusing on Clothing

An Investigative Study on Consumer Emotion by Online Purchase Process: Focusing on Clothing