System Design Model Research Articles

Dynamic and Wrench-Feasible Workspace Analysis of a Cable-Driven Parallel Robot Considering a Nonlinear Cable Tension Model

Cable-driven parallel robots (CDPRs) have several advantages and have been widely used in many industrial fields, especially industrial applications that require high dynamics, high payload capacity, and a large workspace. In this study, a design model for a CDPR system was proposed, and kinematic and dynamic modeling of the system was performed. Experiments were carried out to identify the dynamic modulus of elastic cables based on the dynamic mechanical analysis (DMA) method. A modified kinematic equation considering cable nonlinear tension was developed to determine the optimal cable tension at each position of the end-effector, and the wrench-feasible workspace was analyzed at various motion accelerations. The simulation results show that the proposed CDPR system obtains a large workspace, and the overall workspace is satisfactory and unrestricted for moving ranges in directions limited by the X-axis and the Y-axis from −0.3 to 0.3 m and by the Z-axis from 0.1 to 0.7 m. The overall workspace was found to depend on the condition of acceleration as well as the moving ranges limited by the end-effector. With an increase in external acceleration, the cable tension distribution increased and reached a maximum in the case of 100 m/s2.

OC6 Phase II: Integration and verification of a new soil–structure interaction model for offshore wind design

AbstractThis paper provides a summary of the work done within the OC6 Phase II project, which was focused on the implementation and verification of an advanced soil–structure interaction model for offshore wind system design and analysis. The soil–structure interaction model comes from the REDWIN project and uses an elastoplastic, macroelement model with kinematic hardening, which captures the stiffness and damping characteristics of offshore wind foundations more accurately than more traditional and simplified soil–structure interaction modeling approaches. Participants in the OC6 project integrated this macroelement capability to coupled aero‐hydro‐servo‐elastic offshore wind turbine modeling tools and verified the implementation by comparing simulation results across the modeling tools for an example monopile design. The simulation results were also compared to more traditional soil–structure interaction modeling approaches like apparent fixity, coupled springs, and distributed springs models. The macroelement approach resulted in smaller overall loading in the system due to both shifts in the system frequencies and increased energy dissipation. No validation work was performed, but the macroelement approach has shown increased accuracy within the REDWIN project, resulting in decreased uncertainty in the design. For the monopile design investigated here, that implies a less conservative and thus more cost‐effective offshore wind design.

Unmanned Aerial Vehicles Rescue System Design and Traffic Model Planning

Unmanned Aerial Vehicles (UAV) are widely used in disaster relief and road exploration in recent years. This paper mainly studied the emergency response of UAVs after disasters. The UAV response system is mainly suitable for the distribution of necessities and road exploration after geological disasters and tsunamis in coastal areas. By analyzing the problem and making reasonable assumptions, the optimization model was established with the traffic planning theory, and MATLAB software was used to program and solve the problem. An optimal scheduling scheme was presented to solve these problems. The normalization method was used to select a highly capable UAV. Taking the minimum volume of idle space buffer material as the objective function and taking into account the constraints, such as payload of unmanned aerial vehicle, a single objective programming model was established. The results are as follows: Each International Standards Organization (ISO) cargo container has five UAVs B, one UAV C, one UAV F and one UAV H. It provides 188 days of relief requirements with ISO cargo containers’ space utilization of 71.4%. The research shows that the UAV response system has the functions of necessities distribution and road exploration after disasters, and can be used to deal with the emergency response after disasters in coastal areas, and has a wide range of applicability.

Which Message? Which Channel? Which Customer? - Exploring Response Rates in Multi-Channel Marketing Using Short-Form Advertising

AbstractFormulating short-form advertising messages with little ad content that work and choosing high-performing channels to disseminate them are persistent challenges in multichannel marketing. Drawing on the persuasive systems design (PSD) model, we experimented with 33,848 actual customers of an international telecom company. In a real-life setting, we compared the effectiveness of three persuasion strategies (rational, emotional, and social) tested in three marketing channels (short message service (SMS), social media advertising, and mobile application), evaluating their effect on influencing customers to purchase international mobile phone credits. Results suggest that companies should send rational messages when using short-form advertising messages regardless of the channel to achieve higher response rates. Findings further show that certain customer characteristics are predictive of positive responses and differ by channel but not by message type. Findings from crowdsourced evaluations also indicate that people noticeably disagree on what persuasive strategy was applied to these short messages, indicating that consumers are not well-equipped to identify persuasive strategies or that what advertisers see as a “pure” strategy actually involves elements from multiple strategies as interpreted by consumers. The results have implications for the theoretical understanding of persuasive short-form commercial messaging in multichannel marketing and practical insights for advertising within a limited amount of space and attention afforded by many digital channels.

액티브 시니어를 위한 패션 중심 색채교육 프로그램 개발

With the increase in human lifespans and the consequent emergence of an aging society, senior citizens aged 50 years or older, unlike the elderly in the past, are receiving attention as new leaders in modern society and the economy. These people prefer an experience-centered culture and art education to doing exercise or conducting dynamic activities. It seems that programs involving color that employ elements that can be useful in their daily lives, rather than general education to increase their knowledge, must be established. Accordingly, this study includes the goal of developing a program that combines elements and colors according to the interests of active seniors who are keenly interested in appearance and fashion. A color education program was designed by combining the analysis, design, development, implementation, evaluation (ADDIE) program—an instructional systems design model proposed by Seels and Richy (1944)—with the discipline-based art education (DBAE) approach created by Eisner. The fashion-centered color education program the was developed consisted of programs titled “Personal Color Education Program,” “Fashion Color Styling Education Program,” “Fashion Products Art Coloring Education Program,” and “Interior Color Coordination Education Program.” To valuate the program’s effects, two 45-minute sessions of color education per week were taught to 10 active seniors in their 50s and 60s over four weeks. The results demonstrated that satisfaction with the program was extremely high and that color was also found to be helpful in both work performance and daily life. The fashion-centered color education program was found to increase the understanding of self-expression, creativity, arousal of interest, improvement in expression, and color. The experimental treatment with the fashion-centered color education program had substantially changed how color was perceived before and after the treatment. In addition, ego-resilience, self-esteem, life satisfaction, psychological satisfaction, and self-efficacy improved among the study participants.

Decision Support System Design Model for Choosing Effective Learning Method in Higher Education Institution

In an educational institution, especially higher education, producing qualified graduates is the highest priority achievement. The quality of the graduates is highly dependent on the applied learning method. However, sometimes universities have difficulty in determining appropriate learning for their students. Determination of this decision requires a tool that can facilitate decisionmakers in analyzing all the considerations in choosing decisions. Another challenge is when the decision is shared among multiple stakeholders with equal contribution. It consequently creates a need for a mechanism that can provide an equal contribution for each stakeholder. The research tries to create a model to design a tool that can determine the decisions that need to be taken. This model is built with the Multi-Criteria Decision Analysis (MCDA) approach. MCDA is selected because it can be implemented in a collaborative ecosystem where multiple stakeholders are involved. Then, a literature study is conducted to determine the attributes and decision-making parameters. In addition, the primary data derived from interviews to a total of 40 respondents consisting of students, lecturers, and staff are taken into consideration to complete the literature study. The literature review and interview output are then translated to some parameters that influence an effective learning system. The result shows that this model can be used as a reference in developing a web-based application as an implementation of MCDA.

The ideal mHealth-application for rheumatoid arthritis: qualitative findings from stakeholder focus groups

BackgroundShifts in treatment strategies for rheumatoid arthritis (RA) have made ambulatory care more labour-intensive. These developments have prompted innovative care models, including mobile health (mHealth) applications. This study aimed to explore the perceptions of mHealth-inexperienced stakeholders concerning these applications in RA care.MethodsWe performed a qualitative study by focus group interviews of stakeholders including RA patients, nurses specialised in RA care and rheumatologists. The qualitative analysis guide of Leuven (QUAGOL), which is based on grounded theory principles, was used to thematically analyse the data. In addition, the Persuasive Systems Design (PSD) model was used to structure recommended app-features.ResultsIn total, 2 focus groups with nurses (total n = 16), 2 with patients (n = 17) and 2 with rheumatologists (n = 25) took place. Six overarching themes emerged from the analysis. Efficiency of care and enabling patient empowerment were the two themes considered as expected benefits of mHealth-use in practice by the stakeholders. In contrast, 4 themes emerged as possible barriers of mHealth-use: the burden of chronic app-use, motivational aspects, target group aspects, and legal and organisational requirements. Additionally, recommendations for an ideal mHealth-app could be structured into 4 domains (Primary Task Support, Dialogue Support, Social Support and System Credibility) according to the PSD-framework. Most recommended features were related to improving ease of use (Task Support) and System Credibility.ConclusionsAlthough mHealth-apps were expected to improve care efficiency and stimulate patient empowerment, stakeholders were concerned that mHealth-app use could reinforce negative illness behaviour. For mHealth-apps to be successful in practice, challenges according to stakeholders were avoiding long-term poor compliance, finding the target audience and tailoring a legal and organisational framework. Finally, the ideal mHealth-application should above all be trustworthy and easy to use.

Developing an Interactive Storybook Application ‘Jack and the Dirty Smelly Beast’ for English Language Proficiency among Children

The high percentage of students who are still struggling with the English language is worrisome, even though there are many well-planned strategies and education policies that are developed to resolve this problem. It is a universal belief that learning a foreign language at a young age through reading plays an important role. Accordingly, the aim of this research is to design, develop and evaluate an interactive storybook application combined with suitable multimedia elements and features to encourage children to read. The interactive storybook entitled 'Jack and the Dirty Smelly Beast' was developed using Instructional System Design (ISD) and Rapid Prototyping model. An experimental study was conducted with 17 respondents between the ages of 6 – 8 years to test the effects of the multimedia elements and features in improving children’s learning. Their responses were recorded and analysed using descriptive analysis. The findings showed that respondents agreed that learning experience improved significantly and attracted children to read when using this application. In conclusion, by using correct multimedia elements and suitable features in the interactive storybook application, it is envisaged that the children’s comprehension in learning a foreign language can be expanded. This research foresees there is enormous opportunity for literacy development in foreign language learning in the early ages through the creation of an interactive storybook application with suitable multimedia elements and features for children.

Implementation of a novel Six Sigma multi-objective robustness optimization method based on the improved response surface model for bumper system design

In the vehicle industry, a car’s weight and crashworthiness are two conflicting indicators. Owing to uncertainties in loads, geometries, material properties, and operational conditions, deterministic optimization could lead to unreliable or unstable designs and increase the risk of design failure. This study combined the non-dominated sorting genetic algorithm (NSGA-II), Monte Carlo simulation with descriptive sampling (MCSDS), Six Sigma robustness approach, and improved response surface model (IRSM) to develop a general Six Sigma multi-objective reliability-based design optimization method algorithm (6σ-MORO). The proposed method was applied to examine the crashworthiness of a bumper system. In comparison to the response surface model (RSM), the accuracy of the IRSM was improved by only 10 groups of sample points, proving that the IRSM could construct each response surface function efficiently and accurately. Finally, based on the IRSM, a Six Sigma multi-objective robustness optimization was conducted to explore optimal reliability solutions. The results revealed that the proposed method improved the crashworthiness of the bumper system and also ensured its reliability. Note that the optimal design could be fairly promising for engineering design problems with high dimensions.

Sistem Pendukung Keputusan Penentuan Bonus Karyawan Dengan Metode SAW Pada PT. Delima Makmur Aceh Singkil

Decision Support System (SPK) becomes a system that is always needed for companies in determining a decision, one of which is in determining the annual bonus for employees. PT. Delima Makmur Aceh Singkil in determining employee bonuses every year is still processed manually and assisted by the number and letter processing application, so the results of the calculation of employees who receive bonuses often do not match the criteria and performance of the employee. Bonus calculation results often affect the personal relationship between employees and managers or superiors. Regarding the problems needed a decision support system that can result in proper and transparent decisions in determining employees who receive annual bonuses from the company. The method used in the process of calculating bonus determination is the Simple Additive Weighting (SAW) method. The system making model uses a waterfall model and the system design model used is UML. The programming language used in making systems is PHP (Hypertext Preprocessor), and MySQL as a database, and system testing with the Black Box testing method. The results of the study are the SPK system makes it easier for companies in the assessment process and calculation of employee bonus determination in accordance with employee criteria and performance. This SPK system can provide transparent assessments and calculations in determining the bonus received by employees

‘계획된 우연’ 커리어 코칭 프로그램

This study is a career coaching program developed for the 20th and 30th generations who have difficulty in smooth career exploration due to psychological and physical problems, even though it is an important time for career search. The program was composed by combining counseling and coaching based on the planned happenstance theory. The career coaching program of this study consisted of a total of 6 sessions. The first characteristic is the process of creating an attitude for participants to understand the planned happenstance theory and actively accept future coincidences. Second, a counseling element was added to the career coaching program. Third, the program development process focused on the ADDIE model of general teaching system design, and it has a series of processes that use the GROW model. In this study, the career coaching program was developed with a focus on the targets who overcome psychological and physical health problems and create a new career. However, the program of this study has limitations in verifying effectiveness. Therefore, if this program establishes the theoretical basis for career coaching programs for the 20s and 30, and in-depth research is conducted, it will contribute to the research on career coaching programs in the future.

A Reliability-based Optimization Model for Comprehensive Lightning Protection System Design

Lightning strike is the main reason for the failure of overhead lines in distribution network, which seriously affects the reliability of power supply and power quality. The existing optimization research of lightning protection system(LPS) mainly focuses on a specific lightning protection method, and there are few kinds of research on comprehensive optimization methods among various lightning protection solutions. A model based on distribution network reliability index is proposed in this paper. In the model, mixed integer linear programming (MILP) is used to optimize the lightning protection measures of lightning rods, lightning wires and lightning arresters with different densities. The model considers the influence of arc over rate on the basis of related research and obtains a comprehensive optimization method of different protection measures acting on distribution lines. Taking an actual distribution network as an example, this paper applies the optimization model established to obtain the appropriate lightning protection measures for each line.

ANALISIS DAN DESAIN SISTEM PENILAIAN DAUR HIDUP AYAM POTONG BERBASIS DIGITAL BUSINESS ECOSYSTEM

Chicken meat agroindustry is one of the industries that produce unmeasured and unmonitored environmental impacts. These problems are a challenge for the industry to analyze how to measure and monitor environmental impacts. So, it is necessary to create a system that can measure and monitor environmental impacts through the Life Cycle Assessment (LCA) method. The development of system design based on the Digital Business Ecosystem (DBE) can facilitate interaction between the stakeholders involved. This study aimed to analyse system components, system modeling, and develop an LCA system design of chicken meat. The system design model wasbuilt by UML (Unified Modeling Language). The system design was developed using an Artificial Neural Network (ANN) method to predict the impact of greenhouse gas emissions and the Ordinary Least Squares (OLS) method to determine the most significant contributor. The study's results showed that this system produceed a model that can predict the impact of greenhouse gas emissions by 96.22 % of the actual value, and feed was the most significant contributor. Recommendations for reducing greenhouse gas emissions were increasing feed efficiency, installing an inverter on an ammonia compressor, using environmentally friendly fuels, and utilizing litter and manure as organic fertilizer accompanied by better manure storage management.Keywords: artificial neural network, chicken meat, ordinary least square, life cycle assessment system

MOVIE RECOMMENDATION BASED ON HUMAN EMOTION USING CNN

Emotion plays a vital role in human’s action. Humans highly influenced by movie and music they listen and watch. During this pandemic time, video has become popular and dominant medium and especially OTT (Over the top) service has seen an exponential a growing activity and many companies are now focusing on trying to focus on this field. In past few years, there is much improvement of new techniques to gather real time emotions. In this Paper, Tried to provide the System design model by which recommendation system can be improved on the basis of human emotions to provide dynamic content recommendation to the user. By capturing real-time emotion using deep neural network technique and combining traditional Content- based recommendation we will recommend the list of movies to user. For this implementation we used python to demonstrate its working. Our approach is trying to overcome problem in existing method.

System Approach and Design Models of PAI Learning

This article is focused on examining the systems approach and Pai's learning design models. Today teachers are required to be able to make appropriate learning plans according to the needs of students. The technique used is the result of documentation of existing reference sources and other written information. Analysis of research data using descriptive analysis, content analysis, and comparative analysis. The results of this discussion explain that the PAI learning system approach is a component that integrates with each other, functions cooperatively, and influences each other. In the PAI learning system approach, there are several planning components, namely: a. Establish PAI learning objectives, b. Determine the strategy for organizing the contents of Islamic Education lessons, c. Planning the roles of teachers and students in learning, d. Determine the PAI learning strategy, e. Determine the technique of evaluating the learning outcomes of Islamic Education. Meanwhile, the PAI learning model designs are: a. ASSURE learning design model, b. ADDIE learning design model, c. Kemp learning design model, d. PPSI learning design model, e. The Dick and Carey learning design model, f. The Briggs learning design model and examples in the form of management lesson plans are attached to the research results.

Susceptibility to social influence strategies and persuasive system design: exploring the relationship

ABSTRACT Cialdini’s six principles of influence are commercially used but less common to encourage healthy behaviors. This study examines how these influence strategies relate to the persuasive systems design (PSD) model constructs implemented in commercial mobile fitness applications. Our research questions address whether susceptibility to influence strategies strengthen the relationships between persuasive constructs and, if so, which strategies and software features are promising to leverage the persuasive effects of systems designed to change health behaviors. This study presents results from a survey of system users (N=147) and their self-reported susceptibility to the six principles. All PSD model constructs showed significantly unequal distribution for some influence strategy, indicating that susceptibility to these strategies affects how users evaluate systems. The commitment principle correlated positively with all persuasive constructs, while reciprocation, scarcity and liking all significantly affected system evaluations. Susceptibility to influence strategies also moderated the relationships between PSD model constructs, but the moderation was often negative with small effect sizes. Our preliminary results indicate that practitioners could benefit from utilizing these influence strategies, especially susceptibility to commitment and reciprocation, which are stable and often high. However, the interaction between these strategies and persuasive systems is not straightforward and would benefit from further research.

Process of analysis and design of income accounting information system (case study of PT. MARCI)

Abstract: To increase the competitiveness of a company requires information, including accounting information. With a good accounting information system, it is hoped that the results of physical process efficiency, data updates and accuracy will be achieved. The system design methodology in making the system goes through the stages (1) System Survey (2) System Analysis (3) System Design (4) System Development (5) Testing (6) System Implementation (7) System maintenance. However, with limited time and funds, the researcher completed the research to the system design stage in the form of standard operating procedures (SOP). As for the conclusion, it was found that the work was still inconsistent (same work but implemented in different ways), recording errors, process delays and poor quality.The system design model that has been prepared by the researcher for the Income Accounting Information System of PT Marci consists of the following procedures: (1) order receipt (2) contract agreement (3) work process (4) billing (5) recording. Keywords: System design, accounting information system, PT MARCI

DEVELOPING WEB-BASED ONLINE TEST SYSTEM TO BOOST IELTS ACADEMIC READING SCORE

Abstract: Web technology provides rich resources for both educators and learners in English teaching and learning process. In this context, the study aims at developing web-based online test for IELTS academic reading test on the users need for learners and educator of Universitas Darussalam Gontor. Addressing the issue of online test developing, this study utilized Alessi and Trollip instructional system design model. The formative evaluation and the increase in the average score at the pre-test and post-test of the learning motivation included alpha testing validated by two material and media experts and beta testing on learners’ attitude toward the online test, while summative evaluation covered learning outcomes. Upon analysis, the finding demonstrated that: (1) the resulting website: https://gets.unida.gontor.ac.id/pertanyaan/quiz was able to provide online evaluation for assessing reading performance among learners; (2) the increase in the average score on the pre-test and post-test of the learning outcomes of all learners was 0.43 (moderate category) and learner motivation scale was 0.38 (Medium-g courses). Hence, web-based online test could optimize learners’ excitement to assess their IELTS proficiency.

THE USE OF WATERFALL MODEL IN APPLICATION DESIGN WEB-BASED MARYAM DEPARTMENT STORE

Maryam Department Store is a groceries sales business. Cause of high demand for groceries needed by consumers, it also needed to notes the report fast. In increasing the service and ease of transactions, so thats way the system design in selling at Maryam Department Store. The implementation of this information system is expected to be a solution in solving problems and progress at Maryam Department Store. The system design model used is prototyping. The result of this research is a programming application for Maryam Department Store based on Web

An improved adaptive surrogate model and application in thermal management system design

It is time-consuming to obtain the responses of real or high-precision simulation models in complex engineering problems. The surrogate model based on sample points can approximate the real model and thus greatly reduce the computational effort. The selection of sample points has a great influence on the accuracy of the surrogate model. Aiming at the problem of sample point selection in the process of establishing surrogate model, an adaptive sampling method based on distance density and local complexity is proposed. In this method, distance density is used to quantify the sparsity of new sample points, and local complexity is applied to quantify the change complexity of response values near new sample points. The high-quality of new sample point is added to improve the accuracy of the surrogate model. This method is compared with two other classical adaptive sampling methods through nine test functions. The results show that this method can make the new sample point more distributed in the key area of sample space, so that fewer sample points are used to establish a high-precision surrogate model. Finally, the effectiveness of this method is verified through an optimization of the thermal management system design for liquid-cooled cylindrical batteries.