scholarly journals Implementasi Algoritma A Stars, Tilebase Collision Dan Fuzzy Logic Pada Game Strategy

2017 ◽  
Vol 9 (1) ◽  
pp. 43
Author(s):  
Harso Kurniadi ◽  
Kusrini .
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Research And Development ◽  
Visual Basic ◽  
Visual Basic 6.0

<em>Implementasi algoritma A-Stars, Tilebase Collision dan Fuzzy Logic pada arsitektur dan perilaku tempur dalam game strategy menggunakan visual basic 6.0 dengan penelitian perilaku dan gambar karakter yang diambil dari game Red Alert2. Metode penelitian yang digunakanadalah Research and Development. Karena metode ini dapat membuktikan kemampuan algoritma yang digunakan dapat diterapkan pada game strategi. Kegiatan dalam  mengukur kemampuan algoritma yang diterapkan pada aplikasi game strategi, dihasilkan formulasi untuk gerak multi direction dari pengembangan formulasi algoritma Steering Behavior. Formulasi multi direction dapat membuat karakter bergerak ke segala sudut mengikuti arah target. Perilaku cerdas karakter dalam game strategi merupakan bagian dari kecerdasan buatan (Artificial Intelligence) yang dibangun dari beberapa algoritma yaitu A-Stars sebagai solusi untuk menentukan pathfinding, Tilebase Collision sebagai solusi untuk mendeteksi tumbukan antara objek satu dengan objek lain, dan Fuzzy Logic menjadi solusi untuk membuat strategi perang dalam game.</em>

scholarly journals PENGEMBANGAN INSTRUMEN PENGUKUR KECEPATAN RENANG GAYA BEBAS 50 METER BERBASIS MICROCONTROLLER ARDUINO UNO

2016 ◽  
Vol 1 (2) ◽  
pp. 1
Author(s):  
Muhammad Gilang Ramadhan ◽  
, Badruzaman
Keyword(s):  
Research And Development ◽  
Visual Basic ◽  
Transfer Data ◽  
Arduino Uno ◽  
Visual Basic 6.0

Penelitian ini bertujuan untuk membuat software dan hardware instrumen pengukur kecepatan renang gaya bebas 50 meter berbasis microcontroller Arduino UNO. Penelitian ini menggunakan pendekatan metode Research and Development (R&D). Instrumen yang dibuat menggunakan rangkaian elektronika berbasis microcontroller Arduino UNO. Instrumen ini menggunakan sensor laser yang dipancarkan pada LDR (Light Dependent Resistor) / receiver sinar laser yang fungsinya mendeteksi halangan yang memotong sinar laser. Instrumen ini menggunakan kabel sebagai penghubung untuk transfer data, alat ini terdiri dari empat sensor yang bisa dipasang diantara jarak 0-50 meter dengan hasil tampilan kecepatan renang dalam aplikasi Monitoring renang gaya bebas 50 meter yang dibuat menggunakan software visual basic 6.0. Instrumen ini bekerja secara otomatis ketika buzzer  ditekan dan langsung menjalankan timer yang ada pada aplikasi Monitoring renang gaya bebas 50 meter, ketika atlet berenang dan memotong sinar laser ditiap sensor maka sensor akan memberikan sinyal yang memberhentikan timer yang sedang berjalan dalam aplikasi Monitoring renang gaya bebas 50 meter. Sampel dari penelitian ini yaitu mahasiswa Ilmu Keolahragaan angkatan 2015. Hasil tampilan waktu tempuh dan kecepatan ditampilkan pada aplikasi Monitoring renang gaya bebas 50 meter. Output dari hasil penggunaan instrumen ini yaitu dapat mengetahui berapa kecepatan maksimal perenang tersebut, mengetahui pada jarak dan waktu keberapa akselerasi dan deselerasi terjadi, yang selanjutnya hasil akan di analisis dan dievaluasi oleh pelatih untuk meningkatkan performa atlet.

scholarly journals Performance Comparison Between PID and Fuzzy Logic Controller In Position Control System Of DC Servomotor

2012 ◽  
Author(s):  
Mohd Fua’ad Rahmat ◽  
Mariam Md Ghazaly
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Digital Control ◽  
Fuzzy Logic Controller ◽  
Position Control ◽  
Visual Basic ◽  
Virtual Instrumentation ◽  
Visual Basic 6.0 ◽  
Direct Digital Control ◽  
Position Control System

Objektif kertas kerja ini adalah untuk menyiasat dan membandingkan prestasi spesifikasi masa diantara pengawal konvensional dan pengawal suatu perisian interaktif komputer akan direka dengan menggunakan Microsoft Visual Basic 6.0 yang berupaya mengawal kedudukan shaft motor dalam sistem motor servo. Skop projek ini adalah untuk menggunakan teknik kawalan terus digital dalam mengawal kedudukan shaft motor servo. Pengawal PID dan logik kabur akan digunakan untuk mengawal isyarat keluaran motor servo. Projek ini terbahagi kepada dua bahagian iaitu perkakasan dan perisian. Bahagian perkakasan terdiri daripada membina hubungan antaramuka antara MS150 Modular servo sistem dengan kad perantaramukaan dan komputer peribadi. Bahagian perisian pula adalah lebih kepada mereka bentuk perisian untuk pengawal PID dan logik kabur dengan menggunakan Microsoft Visual Basic 6.0. Kata kunci: virtual instrumentation, PID, logik kabur, kedudukan sistem kawalan, motor servo, kawalan terus digital The objective of this paper is to compare the time specification performance between conventional controller and artificial intelligence controller in position control system of a DC motor. This will include design and development of a GUI software using Microsoft Visual Basic 6.0 for position control system experiment. The scope of this research is to apply direct digital control technique in position control system. Two types of controller namely PID and fuzzy logic controller will be used to control the output response. An interactive software will be developed to visualize and analyze the system. This project consists of hardware equipment and software design. The hardware parts involve in interfacing MS150 Modular servo System and Data Acquisition System with a personal computer. The software part includes programming real–time software using Microsoft Visual Basic 6.0. Finally, the software will be integrated with hardware to produce a GUI position control system. Key words: virtual instrumentation, PID, fuzzy logic, position control system, servomotor, direct digital control, graphic user interface

SISTEM PAKAR MENDIAGNOSA VIRUS MAYORA DENGAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM (VCIRS)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Siti Nurhena ◽  
Nelly Astuti Hasibuan ◽  
Kurnia Ulfa
Keyword(s):  
Artificial Intelligence ◽  
Immune System ◽  
Expert System ◽  
Expert Systems ◽  
Dengue Hemorrhagic Fever ◽  
Hemorrhagic Fever ◽  
Visual Basic ◽  
Artificial Intelligence Techniques ◽  
Individual Needs ◽  
Rule System

The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms. Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms. With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms.Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms.With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)

SISTEM INFORMASI PENJUALAN ALAT OLAHRAGA PADA AS SPORT METRO MENGGUNAKAN BARCODE

2015 ◽  
Vol 1 (1) ◽  
pp. 1-12
Author(s):  
Gunayanti Kemalasari ◽  
Miftah Widayatina
Keyword(s):  
Visual Basic ◽  
Microsoft Access ◽  
Visual Basic 6.0

ABSTRAK Pengolahan data manual pada proses transaksi di As Sport Metro mempersulit pencarian data keluar masuk barang, perhitungan stok serta pembuatan laporan. Untuk memecahkan masalah tersebut diperlukan sebuah Sistem Informasi yang dapat membantu mengakses informasi secara lebih cepat. Tujuan penelitian ini adalah merancang sebuah sistem informasi yang dapat mempermudah transaksi penjualan, mendukung pengolahan data dan mempercepat penyajian laporan. Metode penelitian menggunakan prototype karena secara keseluruhan akan mengacu pada kepuasan pelanggan dan selama proses penelitian berjalan akan terjalin interaksi antara pengembang dan pelanggan. Dengan begitu penerapan lebih mudah karena antara pengembang dan pelanggan saling mengetahui apa yang diharapkan. Segala proses yang terjadi dalam sistem di implementasikandengan bahasa pemrograman Microsoft Visual Basic 6.0. dan menggunakan basis data Microsoft Access 2007. Kesimpulan yang dapat diambil adalah sistem informasi sanggup memenuhi kebutuhan pelanggan setelah dilakukan implementasi dan uji coba.

A FORMALISM FOR REPRESENTING AND REASONING WITH LINGUISTIC INFORMATION

2002 ◽  
Vol 10 (03) ◽  
pp. 281-307 ◽  
Author(s):  
TRU H. CAO
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Natural Language ◽  
Functional Relation ◽  
Computing With Words ◽  
Conceptual Graphs ◽  
Graph Language ◽  
Conceptual Graph ◽  
Knowledge Representation Language ◽  
Representation Language

Conceptual graphs and fuzzy logic are two logical formalisms that emphasize the target of natural language, where conceptual graphs provide a structure of formulas close to that of natural language sentences while fuzzy logic provides a methodology for computing with words. This paper proposes fuzzy conceptual graphs as a knowledge representation language that combines the advantages of both the two formalisms for artificial intelligence approaching human expression and reasoning. Firstly, the conceptual graph language is extended with functional relation types for representing functional dependency, and conjunctive types for joining concepts and relations. Then fuzzy conceptual graphs are formulated as a generalization of conceptual graphs where fuzzy types and fuzzy attribute-values are used in place of crisp types and crisp attribute-values. Projection and join as basic operations for reasoning on fuzzy conceptual graphs are defined, taking into account the semantics of fuzzy set-based values.

scholarly journals Supervised committee machine with artificial intelligence for prediction of fluoride concentration

2013 ◽  
Vol 15 (4) ◽  
pp. 1474-1490 ◽  
Author(s):  
Ata Allah Nadiri ◽  
Elham Fijani ◽  
Frank T.-C. Tsai ◽  
Asghar Asghari Moghaddam
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Ground Water ◽  
Intelligent System ◽  
Fluoride Concentration ◽  
Mixing Zone ◽  
Ann Model ◽  
Committee Machine ◽  
Hydrogeological Characteristics ◽  
Model Predictions

The study introduces a supervised committee machine with artificial intelligence (SCMAI) method to predict fluoride in ground water of Maku, Iran. Ground water is the main source of drinking water for the area. Management of fluoride anomaly needs better prediction of fluoride concentration. However, the complex hydrogeological characteristics cause difficulties to accurately predict fluoride concentration in basaltic formation, non-basaltic formation, and mixing zone. SCMAI predicts fluoride by a nonlinear combination of individual AI models through an artificial intelligent system. Factor analysis is used to identify effective fluoride-correlated hydrochemical parameters as input to AI models. Four AI models, Sugeno fuzzy logic, Mamdani fuzzy logic, artificial neural network (ANN), and neuro-fuzzy are employed to predict fluoride concentration. The results show that all of these models have similar fitting to the fluoride data in the Maku area, and do not predict well for samples in the mixing zone. The SCMAI employs an ANN model to re-predict the fluoride concentration based on the four AI model predictions. The result shows improvement to the CMAI method, a committee machine with the linear combination of AI model predictions. The results also show significant fitting improvement to individual AI models, especially for fluoride prediction in the mixing zone.

Serial-Communication between PLC and Host Computer in Spatial Carport

2012 ◽  
Vol 190-191 ◽  
pp. 168-172 ◽  
Author(s):  
Shu Leng Dong ◽  
Fang Wang ◽  
Jin Lan Yu
Keyword(s):  
Control System ◽  
Serial Communication ◽  
Communication Protocols ◽  
Visual Basic ◽  
Host Computer ◽  
Communication Program ◽  
Visual Basic 6.0

This paper describes the implementation of serial communication between the PLC and the host- computer in the control system of Spatial Carport, gives a detailed introduction to the communication protocols, parameters setting and also gives part of the serial-communication program based on visual basic 6.0. It shows that this control system meets the requirements as expected.

Investigating Determinants of Industry–University Collaboration in an Open Innovation Context: Comparative Evidence from an Exploratory Study

2021 ◽  
pp. 097172182110204
Author(s):  
Calin Florin Baban ◽  
Marius Baban ◽  
Adalberto Rangone
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Open Innovation ◽  
Exploratory Study ◽  
Correlation Matrices ◽  
Related Literature ◽  
Industrial Areas ◽  
The Impact ◽  
Intelligence Approach ◽  
Artificial Intelligence Approach

In an open innovation (OI) paradigm, universities are considered as important sources of external scientific knowledge for industry, and comparative study of such collaboration can result in more effective and efficient employment of OI. Within this framework, this study explores how the determinants of collaboration between industry and universities in an open context of innovation are addressed by firms within industrial areas. For this purpose, a conceptual framework of industry–university determinants in an open context of innovation is developed from the related literature. Taking into consideration the determinants integrated into the framework, this study compares motives, barriers, channels of knowledge transfer, benefits and drawbacks of such collaboration in two Italian and Romanian industrial areas. Comparative differences in each OI determinant between the firms from the two Italian and Romanian industrial areas are analysed. The associations among the study determinants are also investigated based on correlation matrices among the five determinants in both Italian and Romanian firms. An artificial intelligence approach based on fuzzy logic was developed to predict the impact of the study determinants on the perception of universities as a source for OI activities of firms.

Sign in / Sign up

Export Citation Format

Share Document