scholarly journals AN ENVIRONMENT-VISUALIZATION SYSTEM WITH IMAGE-BASED RETRIEVAL AND DISTANCE CALCULATION METHOD

2019 ◽  
Author(s):  
Yuka Toyoshima ◽  
Yasuhiro Hayashi ◽  
Yasushi Kiyoki
Keyword(s):  
Calculation Method ◽  
Visualization System ◽  
Distance Calculation

scholarly journals PENCARIAN OBAT PADA APOTEK TERDEKAT DENGAN MEMANFAATKAN GOOGLE MAP

Compiler ◽  
2014 ◽  
Vol 3 (2) ◽  
Author(s):  
Digga Anggriawan ◽  
Nurcahyani Dewi Retnowati
Keyword(s):  
Open Source ◽  
Calculation Method ◽  
Web Server ◽  
Distance Calculation ◽  
Shortest Distance ◽  
Function Code

The availability of drugs at any pharmacy vary different so make customers is not easy get drugs that needed when we comes to pharmacy. We need a system to assist search for drugs. This study use ssimulation of three pharmacy  integrated to web server for synchronize drug stocks. This system needed the coordinates pharmacy and the coordinates customers to perform distance calculations. A data coordinates pharmacy contained in web server while the customer location input to system later request to google map for get the coordinates. Distance calculation method use calculation function code program google map is open source based on the coordinates pharmacy and the coordinates customers who later produce distance is 7,1 Km, 2,1 Km, and 5,8 Km. Than we get produce shortest distance using min method in math object provided the carrier object javascript with percentace is 43,3%, 14%, and 36,6%, and than shortest distance is 2,1 Km with percentace is 14%.

An Approach to Dynamic Distance Calculations for Obstacle Avoidance Problems

1991 ◽  
Author(s):  
C. Y. Liu ◽  
W. R. Chen ◽  
R. W. Mayne
Keyword(s):  
Motion Planning ◽  
Calculation Method ◽  
Two Dimensional ◽  
Robot Path Planning ◽  
Distance Calculation ◽  
Approach Distance ◽  
Quadratic Programming Method ◽  
Swept Volume ◽  
Planning Problems ◽  
Robot Path

Abstract This paper presents a distance calculation method which can be used in machine motion planning optimizations where interference is a concern. Dynamic distance calculations are discussed which use the quadratic programming method combined with an approximate swept volume approach. Distance-to-contact calculations can be obtained for both interference and non-interference situations. The swept volume of a moving polygon is constructed through a series of overlapped swept volume segments. Each of the swept volume segments is efficiently developed by checking the inner products of polygon outward boundary normals with velocity vectors for polygon vertices. Two dimensional examples of distance-to-contact computations and robot path planning problems are presented for a sample three link robot with three rotational joints.

scholarly journals FIXED VOTERS CLUSTERING TO DETERMINE THE LEVEL OF BEGINNER VOTERS USING DATA MINING TECHNIQUES

2020 ◽  
Vol 5 (11) ◽  
Author(s):  
Ummul Hairah ◽  
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Error Rate ◽  
Calculation Method ◽  
Manhattan Distance ◽  
Minkowski Distance ◽  
Distance Calculation ◽  
Distance Model ◽  
Calculation Results ◽  
Using Data

Data mining clustering technique is used to classify the level of beginner voters using the K-Means method. Fixed voter clusters are used for decision making for stakeholders regarding information on beginner voters in each district and sub-district. The error calculation method is used to measure the level of error value for each distance calculation used, the distance calculation method used ie Euclidean, Manhattan, and Minkowski Distance with the Means Square Error (MSE) approach to measure the level of the error value. The calculation results show that the lowest error occurs in the calculation of the Minkowski Distance model 3 cluster, where the error rate is 11%, while the highest error rate occurs in the calculation of the Manhattan Distance model 5 cluster, which is 38%.

scholarly journals PERBANDINGAN METODE PERHITUNGAN JARAK EUCLIDEAN, HAVERSINE, DAN MANHATTAN DALAM PENENTUAN POSISI KARYAWAN

2020 ◽  
Vol 14 (2) ◽  
pp. 69-77
Author(s):  
Yusup Miftahuddin ◽  
Sofia Umaroh ◽  
Fahmi Rabiul Karim
Keyword(s):  
Calculation Method ◽  
Employee Performance ◽  
Decision Accuracy ◽  
Distance Calculation ◽  
Calculation Results ◽  
Measuring Tape ◽  
Institute Of Technology ◽  
Time Required ◽  
Modern Era ◽  
Selection Of

Abstrak - Kinerja karyawan merupakan hal yang diperhatikan di dalam instansi. Institut Teknologi Nasional Bandung merupakan salah satu instansi dengan jumlah karyawan yang banyak, sehingga sulit  dilakukan pemantauan keberadaan seluruh karyawan. Salah satu alternatif dalam mengatasi masalah tersebut adalah pembuatan sistem untuk memantau lokasi keberadaan karyawan dengan memanfaatkan smartphone untuk pengambilan titik koordinat. Pada era modern ini smartphone merupakan barang yang hampir tidak pernah ditinggalkan. Dengan memanfaatkan titik koordinat, perhitungan jarak dapat dihitung dengan menggunakan 3 metode yaitu euclidean, manhattan, dan haversine. Dari pengujian yang telah dilakukan, rata-rata waktu yang diperlukan untuk proses pengiriman koordinat dari smartphone ke database sistem adalah 0,9 detik. Selain itu, penelitian ini bertujuan untuk membandingkan ketiga metode berdasarkan keakurasian dan waktu. Perbandingan tingkat keakurasian dilakukan dengan membandingkan persentase error hasil perhitungan jarak dengan pengukuran secara manual menggunakan pita ukur.  Hasil akhir dari pengujian tiga metode tersebut diperoleh bahwa metode perhitungan Manhattan membutuhkan waktu pengolahan data yang paling cepat dalam pengujian 100 data yaitu 0,00034045 detik. Metode perhitungan Haversine menghasilkan akurasi perhitungan jarak teringgi yaitu 98,66%. Dan metode perhitungan Haversine menghasilkan akurasi keputusan tertinggi dalam menentukan keputusan lokasi keberadaan karyawan yaitu 90%. Hasil penelitian ini dapat digunakan sebagai pertimbangan pemilihan metode perhitungan jarak bagi para peneliti. Abstract - Employee performance is a matter of concern within the agency. The Bandung National Institute of Technology is one institution with a large number of employees, making it difficult to monitor the whereabouts of all employees. One alternative in overcoming the problem is the creation of a system to monitor the location of employees by utilizing smartphones to capture coordinates. In this modern era smartphone is an item that is almost never left. By utilizing coordinate points, distance calculation can be calculated using 3 methods namely euclidean, manhattan, and haversine. From the tests that have been done, the average time required for the sending of coordinates from the smartphone to the system database is 0.9 seconds. In addition, this study aims to compare the three methods based on accuracy and time. Comparison of the level of accuracy is done by comparing the percentage of error calculation results with the distance measurement manually using a measuring tape. The final results of the three methods test was obtained that the Manhattan calculation method requires the fastest data processing time in testing 100 data that is 0,00034045 seconds. The Haversine calculation method produces the highest distance calculation accuracy which is 98.66%. And the Haversine calculation method produces the highest decision accuracy in determining the location of the employee's decision that is 90%. The results of this study can be used as consideration for the selection of distance calculation methods for researchers.

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