Design System Research Articles

Perancangan Sistem Informasi Rekam Medis Berbasis Web Pada Unit Kesehatan Sekolah IDN Boarding School Jonggol

In this modern era, many Islamic boarding schools have built their own Health Units. However, often these units only function as an effort to prevent and overcome student health problems in general. The more students there are in an Islamic boarding school, the more important it is for the Health Unit in the Islamic boarding school to innovate to improve the quality of its services. The concept of designing this information system refers to the activity of processing student medical record data that occurs in the Health Unit which is still manual, so a website-based medical record information system is needed at the IDN Jonggol Islamic boarding school which is computerized to solve this problem. This research aims to produce a software application that is expected to help the Health Unit in processing student data collection which can make it easier to search and make reports. To support this research, data collection methods are carried out using observation, interviewing, literature study, analysis, and design system, building the system, testing, and implementing the system. The implementation of the medical record information system at the IDN Jonggol Islamic boarding school has succeeded in increasing the efficiency, accuracy, and accessibility of student health data, providing convenience in making reports, and supporting improvements in the quality of health services

Road dynamic landscape design and simulation based on fuzzy clustering algorithm

Against the backdrop of rapid economic growth and continuous expansion of road networks in China, the planning, design, greening, and beautification of roads at all levels have entered a systematic implementation phase. Particularly noteworthy is the emergence of dynamic road landscape design as a major focus in the research on urban road beautification in the new era. This paper proposes a road dynamic landscape optimization design scheme based on the fuzzy clustering algorithm. It analyzes the primary elements constituting dynamic road landscapes and summarizes the fundamental principles for designing such landscapes. The fuzzy clustering method is employed to classify different road landscapes, optimizing the design system. Through simulation experiments, the effectiveness of the proposed scheme is validated, with results indicating an 8.34% higher accuracy compared to traditional methods. The study suggests that such road design not only meets basic traffic needs but also achieves greening and beautification effects while catering to users visual and psychological needs, showcasing the unique cultural, historical, and lifestyle characteristics of the city. Furthermore, this design fosters harmonious integration between roads and their ancillary structures and surrounding buildings, significantly improving the citys landscape and living environment.

Construction of a sustainable design competency assessment system for fashion designers in China

Construction of a sustainable design competency assessment system for fashion designers in China

Interactive Batik & HR Incubation for Art-Technopreneurship: Mantraman Village Pilot Project

The implementation of this activity presents an innovative approach to promote the sustainability of the Javanese batik industry by developing interactive batik designs and fostering human resources in the arts and technopreneurship fields. The research project undertaken in Mantraman Village, Pagelaran, aims to brand Mantraman Village as a unique destination embodying Javanese Cultural Village characteristics. The cutting-edge approach combines age-old batik techniques with the latest in digital augmented reality technology. By doing so, it aims to boost visitor engagement and offer a hands-on experience in the batik design process. This implementation also focuses on fostering human resources in the arts and technopreneurship fields. These educational activities are designed to impart both theoretical knowledge and practical skills, empowering individuals to venture into or further develop their own art-technopreneurial pursuits. Training programs and workshops are conducted to develop participants’ skills and knowledge in batik design, business management, marketing, and related technological aspects. This implementation methodology involves conducting participatory surveys, observations, and interviews with relevant stakeholders, as well as testing and evaluating prototypes of interactive batik design systems. The data collected will be analyzed qualitatively and quantitatively to measure the project’s impact on increasing public interest, improving the quality of batik products, and developing human resources in the arts and technopreneurship fields. The results of the implementation of this activity made a positive contribution through an inventory of interactive batik motif designs with augmented reality technology, contributing to the development of the batik industry in Mantraman Village, Pagelaran Village as an iconic tourism village branding. Through these efforts, the project contributes positively to the sustainable growth of the batik industry and cultural branding of the village. Keywords: interactive, pattern, batik, mantraman village, pagelaran

ABCD method for determination of low-temperature properties of ordinary and modified binders

Introduction. The active introduction into practice of the system of volumetric and functional design (OFP) is aimed at the large-scale development by the Russian road construction industry of advanced foreign approaches to the technology of designing asphalt concrete pavements (Superpave). One of the fundamental differences between the OFP methodology and the previously established practice of evaluating technical, technological and operational indicators of road construction materials is the introduction of new methods that characterize quantitative indicators with a high degree of accuracy, based on the actual physical, chemical and mechanical properties of the components used. Thus, as methods for assessing the low-temperature properties of bitumen binders, it is proposed to use the bending beam method (BBR), which has proven itself quite well when working with traditional (ordinary) bitumen. However, the natural and climatic conditions of operation of highways in Russia clearly require the use of binders modified with high- and low-molecular compounds, including polymers. In this study, the task of applying the ABCD method to evaluate the low-temperature parameters of ordinary bitumen and polymer-bitumen binders was realized.Materials and methods. Samples of industrial batches of petroleum road viscous bitumen (GOST 33133-2014) and polymer-modified bitumen (GOST R 52056-2003) were used as objects of research. To determine the lowtemperature parameters, an ABCD 8.0 device and an air-cooled climate chamber were used. The study of bitumen binders according to the parameters laid down in the technical requirements of GOST R 58400.11–2019 ‘Automobile roads of general use. Petroleum-based bitumen binders. Method of determining the temperature of cracking using the device ABCD’ was carried out.Results. The values of the cracking temperature for ordinary and modified bitumen binders were determined. It is shown that the low-temperature parameters of polymer-bitumen binders significantly exceed similar properties of oxidized road bitumen.Discussion and conclusions. A comparative analysis of the low-temperature properties of ordinary and modified binders obtained during their determination by the direct method enables to confirm the effectiveness of the methodology developed in GOST R 58400.11-2019 for assessing the performance of binders of various component composition in difficult climatic conditions of Russia. The effectiveness of the domestic second-generation ABCD 8.0 device for direct assessment of the cracking temperature of bitumen binders of variable composition has been confirmed.

Optimization study of the circuitry for 5 mm small-diameter finned-tube heat exchanger in air-source heat pumps

Finned-tube heat exchangers (FTHXs) are currently extensively utilized in residential air-source heat pumps (ASHPs), but their escalating costs pose an urgent issue needing resolution. This study investigated the feasibility of replacing the 7 mm diameter FTHX in the outdoor unit of an ASHP with a 5 mm small-diameter FTHX, aiming to reduce material consumption without compromising performance. Based on the Intelligent System for Heat Exchanger Design (ISHED), a 6–3-1 circuitry (6 circuitries merging into 3 then 1) optimization scheme tailored for the 5 mm diameter FTHX was proposed under non-uniform airflow distribution. The performance differences between this circuitry and the baseline were then analyzed through numerical simulations. Finally, comparative tests were performed between the original FTHX and the modified 5 mm diameter FTHX. Overall, even with a 5.10 % reduction in total heat exchange area, its heat exchange capacity and efficiency still meet the performance standards for the initial ASHP. Notably, the proposed 5 mm diameter FTHX reduces the material costs and refrigerant charge by 19.76 % and 12.28 %, respectively. This phenomenon illustrates the considerable economic benefits of reducing the volume of FTHX. Additionally, it holds significant practical value in promoting the use of natural refrigerants including hydrocarbons according to the new international legislative framework.

Fastmove: A Comprehensive Study of On-Chip DMA and its Demonstration for Accelerating Data Movement in NVM-based Storage Systems

Data-intensive applications executing on NVM-based storage systems experience serious bottlenecks when moving data between DRAM and NVM. We advocate for the use of the long-existing but recently neglected on-chip DMA to expedite data movement with three contributions. First, we explore new latency-oriented optimization directions, driven by a comprehensive DMA study, to design a high-performance DMA module, which significantly lowers the I/O size threshold to observe benefits. Second, we propose a new data movement engine, Fastmove , that coordinates the use of the DMA along with the CPU with DDIO-aware strategies, judicious scheduling and load splitting such that the DMA’s limitations are compensated, and the overall gains are maximized. Finally, with a general kernel-based design, simple APIs, and DAX file system integration, Fastmove allows applications to transparently exploit the DMA and its new features without code change. We run three data-intensive applications MySQL, GraphWalker, and Filebench atop NOVA , ext4-DAX , and XFS-DAX , with standard benchmarks like TPC-C, and popular graph algorithms like PageRank. Across single- and multi-socket settings, compared to the conventional CPU-only NVM accesses, Fastmove introduces to TPC-C with MySQL 1.13-2.16 × speedups of peak throughput, reduces the average latency by 17.7-60.8%, and saves 37.1-68.9% CPU usage spent in data movement. It also shortens the execution time of graph algorithms with GraphWalker by 39.7-53.4%, and introduces 1.01-1.48 × throughput speedups for Filebench.

Novel in silico nano-drug design and delivery systems employing the density functional theory: a review

Novel in silico nano-drug design and delivery systems employing the density functional theory: a review

Design and optimization of a miniaturized dual band rectenna for wireless power transfer applications

This paper presents the design of a compact printed rectenna circuit suitable for wireless power transfer applications at frequencies 900 MHz and 1450 MHz. The rectenna circuit consists of a rectangular patch antenna measuring 17.7 x 8.85 mm2, printed on a Rogers RO4003 substrate. It also includes a voltage doubler (VD) circuit comprising Schottky diodes (SMS7631) and an impedance-matching circuit. The design and optimization of the antenna are performed using Ansys HFSS software, while the DC and RF features of the VD circuit are analyzed using the Advanced Design System (ADS) software. The circuit design is presented in two stages: one for single-frequency operation at 900 MHz and another for dual-band operation at 900 and 1450 MHz. The design of single-stage and double-stage VD for dual-band operation is also discussed in this paper. The rectenna's Power Conversion Efficiency (PCE) is evaluated under various load and input power conditions. The maximum DC output voltage measured is 5.318 V at 900 MHz and 5.52 V at 1450 MHz. Furthermore, the maximum PCE achieved is 53% and 54% for 900 MHz and 1450 MHz respectively. These values are obtained with a RF input power level of 20 dBm and a load resistance of 10 KΩ.

Formulating a Descriptive Framework and Tagging system for Design Futures Practice Cases: Enabling Heuristic Tool Development for Design Education and Creative Inspiration

There has been a growing trend to extend the domain of futures studies into practical realms by integrating materials, methodologies, and perspectives from design and the arts. “Design Futures” is an emerging field that arises from the interaction between design and foresight, holding great potential for expansion and development. However, there is still a lack of heuristic design tools to empower the creation of practice cases in design futures. Due to the intricacies of the sub-genres of Design Futures practice cases, our prior work included the development of a universal case description framework with a quantitative tagging system to place the different genres of cases on a common ground for study. Firstly, the study established a global descriptive framework and tagging system (4 segments, 7 primary labels, and 36 secondary labels) around 5 Design Futures sub-types through a qualitative approach. Secondly, the study invited 109 participants from five different subjects areas to conduct an empirical study to validate the proposed framework and quantify the tagging system. The results show that the rationality of the framework is preliminarily confirmed; the strength of the correlation between genres and labels is weak; in terms of the quantification of labels, the study produces 62 valid secondary labels (positive 29, negative 33), accompanied by quantitative data as the basis for recommendation, forming a creativity-enabling, content-rich labelling system that can reflect the characteristics and differences between the many genres of Design Futures. Finally, the study proposes three modes of heuristic design (confirmatory, constructive and open-ended), which provide rules to guide the use and collocation of the tagging system. The results of this research have deepened the understanding of the concepts and structures of knowledge in the field of Design Futures, which will play a more extensive role in design pedagogy and creative inspiration contexts.

Data-driven hierarchical collaborative optimization method with multi-fidelity modeling for aerodynamic optimization

The aerodynamic optimization of aircraft based on evolutionary algorithms generally requires thousands or even tens of thousands of iterations. Moreover, it faces challenges such as high-dimensional design variables and high computational costs, leading to low efficiency in algorithm search and poor optimization results. In order to enhance the efficiency of aerodynamic optimization, a data-driven collaborative optimization and multi-fidelity hierarchical modeling method is proposed. Firstly, a Clustering-Enhanced Teaching-Learning-Based Optimization (CETLBO) algorithm is introduced to improve its exploration and exploitation capabilities. By employing a collaborative optimization strategy, a divide-and-conquer paradigm is utilized to efficiently solve high-dimensional, nonlinear, and complex engineering optimization problems. Secondly, a two-stage hierarchical aerodynamic optimization framework is designed to reduce computational costs by integrating data from different fidelity levels. Stage 1 adopts a data-driven approximate optimization method to provide prior knowledge for the high-fidelity optimization of stage 2. Finally, the proposed method is applied to the optimization design of supersonic wing shapes. Compared to traditional optimization design systems, it demonstrates high efficiency in high-dimensional aerodynamic optimization problems, yielding better optimization results.

HCI-modelling for improving the clinical usability of digital health technologies

IntroductionDigital Health Technologies (DHTs) have been shown to have variable usability as measured by efficiency, effectiveness and user satisfaction despite large-scale government projects to regulate and standardise user interface (UI) design. We hypothesised that Human-Computer Interaction (HCI) modelling could improve the methodology for DHT design and regulation, and support the creation of future evidence-based UI standards and guidelines for DHTs. MethodologyUsing a Design Science Research (DSR) framework, we developed novel UI components that adhered to existing standards and guidelines (combining the NHS Common User Interface (CUI) standard and the NHS Design System). We firstly evaluated the Patient Banner UI component for compliance with the two guidelines and then used HCI-modelling to evaluate the “Add New Patient” workflow to measure time to task completion and cognitive load. ResultsCombining the two guidelines to produce new UI elements is technically feasible for the Patient Banner and the Patient Name Input components. There are some inconsistencies between the NHS Design System and the NHS CUI when implementing the Patient Banner. HCI-modelling successfully quantified challenges adhering to the NHS CUI and the NHS Design system for the “Add New Patient” workflow. DiscussionWe successfully developed new design artefacts combing two major design guidelines for DHTs. By quantifying usability issues using HCI-modelling, we have demonstrated the feasibility of a methodology that combines HCI-modelling into a human-centred design (HCD) process could enable the development of standardised UI elements for DHTs that is more scientifically robust than HCD alone. ConclusionCombining HCI-modelling and Human-Centred Design could improve the scientific progress towards developing safer and more user-friendly DHTs.

Design and development of robotic technology through microcontroller system with machine learning techniques

Through the integration of AI and IoT, the digital twin transforms industrial sectors by virtually portraying physical systems. Simulation and the application of lifecycle management improve decision-making. In this paper, a virtual prototype system a digital twin framework that integrates robotic devices is proposed. Created using debugging platforms, they track every robotic activity, supported by real-time microcontroller structural design systems. Machine learning methods are the fundamental engine of the digital twin system. Because of this connection, robotic actions may be seamlessly controlled and monitored, guaranteeing effectiveness and adaptability in changing contexts. Robotics has advanced significantly with the combination of digital twin technology, machine learning, and microcontroller systems, offering improved performance and versatility in a range of applications.

Implementation of adaptive neuro-fuzzy inference system in design and process optimization of latent heat storage system

This study focuses on implementing an Adaptive Neuro-Fuzzy Inference System (ANFIS) as an artificial neural network model to optimize latent heat thermal energy storage (LHTES) systems. Experimental data comprising seven input parameters (length, shell diameter, tube diameter, mass flow rate, difference in temperature, latent heat, and density) and two output parameters (charging and partial charging time) are collected and used to train the ANFIS model. Initially, the model is developed using a grid partition method, employing Triangular and Gbell membership functions and assigning diverse membership rules. This initial model demonstrated satisfactory accuracy based on quality metrics (R2, mean absolute, and root mean square error). Then, a subtractive clustering approach is applied to further enhance the model's accuracy, which groups different data clusters together. This enhanced model exhibited superior performance compared to the grid partition method, making it the optimal choice. In addition, an experimentally validated numerical model is developed using COMSOL Multiphysics and is utilized to crosscheck the predicted output of the ANFIS model. From a set of 100 combinations of storage capacity between 0.45 and 0.55 MJ, a fixed latent heat storage capacity of 0.456 MJ was identified by considering the combination with the least charging time based on the input parameters. Using this storage capacity, a minimum charging time of 223 min and a partial charging time of 180 min was determined. The numerical model also confirmed these optimal values.

Smart Health Village in Improving Disaster Preparedness

Background: Disaster-prone areas are areas that have the potential for natural disasters such as earthquakes, mountain eruptions, landslides caused by activity or movement from the base of the earth. Understanding the potential for natural disasters in each region as one of the anticipatory steps to minimize the number of victims of natural disasters. Precise and accurate information is needed for disaster management. The slope of the area is quite steep, and road access to villages and tourist attractions is vulnerable to landslides. The current disaster incident information reporting system still applies the conventional model. The community also experiences difficulties in receiving information and submitting reports regarding village conditions. Purpose: This research aims to analyze the effectiveness of smart health villages in improving disaster preparedness. Method: The research design used a pre-experiment with a pre-test and post-test design approach with a sample size of 64 volunteers who were taken using purposive sampling. The independent variable in this study is Smart Health Village and the dependent variable is the voluntary task force's ability to preparedness disaster. The research instrument used a questionnaire for each variable. Data analysis in this study is the Wilcoxon Signed Rank Test. The implementation of this activity consists of the design stage, application creation, system design, socialization and training, and trial. Results: The research results showed that the voluntary task force's preparedness was in a good category as much as 88% and as enough as 12% with p value = 0.000. This application system smart health village based on the web allows both the community (users), admin (task force), and verifiers (village officials) to access anywhere and at any time, thus increasing the capability and quality of human resources in disaster preparedness and disaster-prone areas. Conclusion: Based on the results it can be concluded that smart health village can improve ability in preparedness of disaster in disaster- prone areas thus reducing impact of anxiety and and panic due to disaster.

Gradually Typed Languages Should Be Vigilant!

In gradual typing, different languages perform different dynamic type checks for the same program even though the languages have the same static type system. This raises the question of whether, given a gradually typed language, the combination of the translation that injects checks in well-typed terms and the dynamic semantics that determines their behavior sufficiently enforce the static type system of the language. Neither type soundness, nor complete monitoring, nor any other meta-theoretic property of gradually typed languages to date provides a satisfying answer. In response, we present vigilance, a semantic analytical instrument that defines when the check-injecting translation and dynamic semantics of a gradually typed language are adequate for its static type system. Technically, vigilance asks if a given translation-and-semantics combination enforces the complete run-time typing history of a value, which consists of all of the types associated with the value. We show that the standard combination for so-called Natural gradual typing is vigilant for the standard simple type system, but the standard combination for Transient gradual typing is not. At the same time, the standard combination for Transient is vigilant for a tag type system but the standard combination for Natural is not. Hence, we clarify the comparative type-level reasoning power between the two most studied approaches to sound gradual typing. Furthermore, as an exercise that demonstrates how vigilance can guide design, we introduce and examine a new theoretical static gradual type system, dubbed truer, that is stronger than tag typing and more faithfully reflects the type-level reasoning power that the dynamic semantics of Transient gradual typing can guarantee.

Rectenna System Development Using Harmonic Balance and S-Parameters for an RF Energy Harvester.

With the escalating demand for Radio Frequency Identification (RFID) technology and the Internet of Things (IoT), there is a growing need for sustainable and autonomous power solutions to energize low-powered devices. Consequently, there is a critical imperative to mitigate dependency on batteries during passive operation. This paper proposes the conceptual framework of rectenna architecture-based radio frequency energy harvesters' performance, specifically optimized for low-power device applications. The proposed prototype utilizes the surroundings' Wi-Fi signals within the 2.4 GHz frequency band. The design integrates a seven-stage Cockroft-Walton rectifier featuring a Schottky diode HSMS286C and MA4E2054B1-1146T, a low-pass filter, and a fractal antenna. Preliminary simulations conducted using Advanced Design System (ADS) reveal that a voltage of 3.53 V can be harvested by employing a 1.57 mm thickness Rogers 5880 printed circuit board (PCB) substrate with an MA4E2054B1-1146T rectifier prototype, given a minimum power input of -10 dBm (0.1 mW). Integrating the fabricated rectifier and fractal antenna successfully yields a 1.5 V DC output from Wi-Fi signals, demonstrable by illuminating a red LED. These findings underscore the viability of deploying a fractal antenna-based radio frequency (RF) harvester for empowering small electronic devices.

Decentralized fuzzy DSC for uncertain large-scale interconnected switched systems in non-strict feedback form with input saturation

This paper demonstrates a fuzzy decentralized dynamic surface control (DSC) scheme for switched large-scale interconnected nonlinear systems under arbitrary switching, which contains non-strict feedback form and unknown input saturation uncertainties. An auxiliary design system is established to handled input saturation. Uncertainties of non-strict feedback form are learned by fuzzy logic systems (FLSs) approximators, DSC method is designed to conquer “explosion of complexity” inherented by repeated differential of virtute controller in backstepping approach. Ii is shown that based on common Lyapunov function (CLF) design and analysis scheme, all the closed-loop systems signals are uniformly ultimately bounded (UUB), simulation results are provided to demonstrate the effectiveness of this proposed strategy.

A patent retrieval method and system based on double classification

As one of the most prominent carriers of knowledge, patents can provide masses of cross-domain knowledge to support the innovative design process of products. However, there is a major problem faced by most patent-aided innovation design systems, that is, identifying and providing patents related to design requirements from a multitude of cross-domain patents. To address this problem, a patent retrieval method based on double classification is proposed in this study, and a corresponding patent-aided innovative design prototype system is also developed. Firstly, the functional attributes are extracted from design requirements and expanded to different fields based on functional bases, by which the primary patent sets are constructed via classifying cross-domain patents. Secondly, technical features are mined from the primary patent sets with the topic model, which is used to classify the primary patent sets in turn and construct the secondary patent sets, hence, corresponding patents can be obtained to solve the design problems. Finally, a patent-aided prototype system is developed based on the proposed method. On the basis of the system, the hole plug of irradiated samples of nuclear reactor pressure vessel has undergone innovative design, which verifies the feasibility and practicability of both the method and system.

Exploring systemic design practices in public sector innovation

Many societal challenges need to be resolved through innovative solutions at system level. Previous scholars have argued that it may be wise to combine design practice and system theory to form a management method for public sector innovation. However, it appears that few scholars have developed innovation management methods based on that combination. The aim of this article is therefore to contribute with new knowledge about how design practice and system theory can be combined in order to drive public sector innovation. The article proposes the development of a previously proposed systemic design management model and presents a toolbox with twelve innovation management tools. Although there is a logic in using the tools in a certain order, this article emphasizes the need for a flexible use of the tools and to be open to moving back and forth between different tools. The results also indicate that an initial key tool is to ensure that the right people become involved in the different phases of the innovation process. It is more important to involve the right people in different phases than to follow a specific pre-designed process model. In order to successfully create and implement innovative solutions at system level, the innovation processes need to engage different human resources for different tools. Different resources that understand the needs can contribute with new perspectives and also possess the mandate to make systemic changes.