Modeling System Design Research Articles

Semiconductor Device Modeling for Circuit and System Design

Semiconductor Device Modeling for Circuit and System Design

Call for Papers for a Special Issue of IEEE Transactions on Electron Devices on "Semiconductor Device Modeling for Circuit and System Design"

Call for Papers for a Special Issue of IEEE Transactions on Electron Devices on "Semiconductor Device Modeling for Circuit and System Design"

Call for Papers: Special Issue of IEEE Transactions on Electron Devices on "Semiconductor Device Modeling for Circuit and System Design"

Call for Papers: Special Issue of IEEE Transactions on Electron Devices on "Semiconductor Device Modeling for Circuit and System Design"

TMT transactive memory system and business model design: the moderating effect of strategic orientation

PurposeTop management team (TMT) serves as the critical designer of a firm’s business model, whose cognition exerts key influence on business model design (BMD). Drawing insights from the managerial cognition and knowledge-based views, this paper aims to examine the effect of TMT transactive memory system on BMD and investigate how the relationship between TMT transactive memory system and BMD is contingent upon the firm’s strategic orientation.Design/methodology/approachSurvey data collected from 210 Chinese firms was used to test the research hypotheses through multivariate regression analysis.FindingsThis paper reveals that TMT transactive memory system facilitates novelty- and efficiency-centered BMD. Furthermore, both differentiation orientation and cost leadership orientation can strengthen the effect of TMT transactive memory system on novelty-centered BMD; the impact of TMT transactive memory system on efficiency-centered BMD is weakened by differentiation orientation but strengthened by cost leadership orientation.Originality/valueThis paper adds to the business model literature by unraveling the effect of TMT transactive memory system on BMD, which not only enriches the internal cognitive antecedents of BMD but also provides an in-depth understanding of how TMTs can use their knowledge structure to proactively design a certain business model. Moreover, this paper also offers insights into how TMTs can better use transactive memory system to design business models according to the specific strategic orientation.

An improved composition design method for high-performance copper alloys based on various machine learning models

The preparation of high-performance copper alloys generally considers alloying approaches to solve the conflicting problems of high strength and high electrical conductivity. The traditional “trial and error” research model is complicated and time-consuming. With the continuous accumulation of material databases and the advent of the “big data” era, machine learning has rapidly become a powerful tool for material design and development. In this paper, a total of 407 copper alloy data were collected. In the multi-objective prediction problem, the many-to-many prediction using back propagation neural network alone is improved to a many-to-one prediction. This improvement is based on back propagation neural network, tree model and support vector machine model. Through comparative analysis, an improved composition to property model was developed to predict the tensile strength and electrical conductivity of copper alloys, and the overall coefficient of determination reached 0.98; an improved property to composition model was developed to predict the composition of copper alloys, and the overall coefficient of determination reached 0.78. By combining these two models and the particle swarm optimization algorithm, an improved machine learning design system (MLDS) model was developed to achieve the composition prediction of copper alloy. The overall coefficient of determination reached 0.87, the prediction effect was better than the original MLDS model and with stronger stability. This method is of guiding significance for the alloy composition design of high-performance copper alloys. In addition, it also has certain reference value for the alloy composition design of other alloys.

The Production Model of Tilapia (Oreochromis niloticus) Cultivation with System Dynamics Approach

The purpose of this study was to determine the survival rate (SR), the Average Daily Growth (ADG), and the Feed Conversion Ratio (FCR) of Nile tilapia (Oreochromis niloticus) with a dynamic system model. The dynamic system model is used to determine the optimal value of the three variables. The results showed that the survival rate, average daily growth, and feed conversion ratio of tilapia cultivation were 93% (SR), 3.2gr/day (ADG), 0.73 (FCR). In this research, tilapia production were 14,199gr, the amount of feed were 10.344gr and the length of cultivation were 65 days. It was hoped that the dynamic system model design could have tilapia farmers to develop aquaculture businesses that was more environmentally friendly, effective and efficient.

Utilizing Website-Based Speech-to-Text for Query Search

Companies are increasingly using database-based data processing systems to store all information about their goods and products, so searching for queries on the system is one of the routine activities carried out by employees daily. The user must enter the keywords from the desired query in the search feature available on the system using the keyboard to perform the search process. It can only be accessed via a computer connected to the internet. Office However, sometimes there are several factors that make it difficult for employees to type in keywords, such as driving or having physical limitations, especially in the hands. This study aims to present an alternative to entering keywords not only through the keyboard but also by using voice by creating a query search system with the Speech-to-Text method so that users simply say the keywords from the desired data, and the system will be built based on a website so that they can be accessed from other devices such as smartphones, tablets, laptops or other devices. The method used in making this system is the System Development Life Cycle (SDCL) Prototype model and the system design modeling using the Unified Modeling Language (UML). This system will also be hosted on the Heroku platform, and in order to guarantee optimal operation of the system, a black box testing method is used, and the word accuracy test resulting from the Speech-to-Text conversion as well as the processing time required from the start of the system running to displaying the search results. It is hoped that with this system, employees will find it easier to enter keywords from the data they want through various devices quickly and with precise results.

Call for Papers for a Special Issue of IEEE Transactions on Electron Devices on "Semiconductor Device Modeling for Circuit and System Design"

Call for Papers for a Special Issue of IEEE Transactions on Electron Devices on "Semiconductor Device Modeling for Circuit and System Design"

Call for Papers for a Special Issue of IEEE Transactions on Electron Devices on “Semiconductor Device Modeling for Circuit and System Design”

Call for Papers for a Special Issue of IEEE Transactions on Electron Devices on “Semiconductor Device Modeling for Circuit and System Design”

Semiconductor Device Modeling for Circuit and System Design

Semiconductor Device Modeling for Circuit and System Design

Semiconductor Device Modeling for Circuit and System Design

Semiconductor Device Modeling for Circuit and System Design

PERANCANGAN DAN IMPLEMENTASI APLIKASI KEUANGAN DENGAN MENERAPKAN METODE RASIO KEUANGAN SEBAGAI PENGUKUR KINERJA PERUSAHAAN (STUDI KASUS DI PT. GARDA AGATA NUSANTARA)

ABSTRACT : This research is motivated by the problems and constraints on the financial statements that run at PT. Garda Agata Nusantara is in the form of data validation that has not been properly integrated, has not displayed reports on financial ratios, balance sheets and profit/loss, as well as financial applications that cannot be accessed remotely and are limited by time. The purpose of this research is to provide a system that can present accurate company financial performance reports and can be accessed easily from anywhere and anytime. By using a qualitative method approach and the SDLC waterfall development model in application design through stages including the system model design in this study using UML (Unified Modeling Language). Based on the results of analysis, design, and testing using the black-box testing method. The results of this study are financial applications by applying the financial ratio method are expected to help the company to determine the company's financial position in a certain period, find out the success and weaknesses of the company and can find out steps to improve the company's management performance next.

Semiconductor Device Modeling for Circuit and System Design

Semiconductor Device Modeling for Circuit and System Design

Call for Papers for a Special Issue of IEEE Transactions on Electron Devices on "Semiconductor Device Modeling for Circuit and System Design"

Call for Papers for a Special Issue of IEEE Transactions on Electron Devices on "Semiconductor Device Modeling for Circuit and System Design"

Modeling and Intelligent Controller Design for Reactor Regulating System of Advanced CANDU Reactor (ACR-700) in LabVIEW

In this research work, an Advanced CANDU Reactor of 700 MWe rating (ACR-700) is attempted for Reactor Regulating System (RRS) modeling and intelligent controller design. ACR-700 is a state-of-the-art advanced generation-III reactor. The reactor regulating system is modeled with special emphasis on internal and external reactivity devices. ACR-700 is designed with Liquid Zone Control (LZC) Model, Adjuster Banks Model, Absorber Banks Model and Shutdown Banks Model. The RRS model is a highly sophisticated model developed based on the principle of spatial nuclear reactor dynamics. The RRS model is a multivariable model. The spatial reactor dynamics is modeled based on five internal feedbacks and three feedbacks. The original controller design of RRS is comprised of a PID control algorithm. The control design is reattempted with an advanced intelligent algorithm in which the ANFIS controller is used as a modern control design tool. The new ANFIS controller is basically a multivariable controller. All the modeling of RRS is implemented in Visual Basic (VB) Software while the controller is configured in LabVIEW. A special toolkit is designed for the interfacing of Visual Basic and LabVIEW known as VBLAB. The optimization of intelligent controller parameters is carried out by Genetic Algorithm (GA). The GA-optimized intelligent controller is configured with the VB RRS model. All the variable trends are visualized in the VB environment. The proposed closed-loop ACR-700 RRS control system is tested for small perturbation Analysis and power ramp-down transient and found with excellent behavior well within the design limits. The performance of the suggested ACR-700 RRS controller is compared with the existing conventional controller. The performance of the suggested control scheme is marked with reduced oscillations and faster as compared to the existing control scheme.

System Modeling and Artificial Neural Network (ANN) Design for Lateral and Longitudinal of F-16

Today, the classical control methods are still widely used because of their excellent performance in a working environment with conditions of geo-graphical distance. They are suitable for functions of the system: more flexible operating system, easy to perform, less unwanted ricks occur, the efficiency of controlling a system better. Besides the traditional control methods, the author has applied more modern and smarter algorithms such as artificial intelligence to control a system on the ground or a system moving in the air. In this paper, artificial neural network (ANN) is applied for a flight model to demonstrate its effectiveness in all cases. ANN in this article to show off its amazing application for flying devices. This is a useful method because it is highly secure. Simulation is done by Matlab.

Semiconductor Device Modeling for Circuit and System Design

Semiconductor Device Modeling for Circuit and System Design

Call for Papers: Semiconductor Device Modeling for Circuit and System Design

Call for Papers: Semiconductor Device Modeling for Circuit and System Design

Semiconductor Device Modeling for Circuit and System Design

Semiconductor Device Modeling for Circuit and System Design

Semiconductor Device Modeling for Circuit and System Design

Semiconductor Device Modeling for Circuit and System Design