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Article ; Online: Perangkat Lunak untuk Kontrol dan Pendeteksian QR Code pada Robot Mobil di Prototipe Pabrik Garmen

Juan Steven / Resmana Lim

Jurnal Teknologi dan Sistem Informasi, Vol 7, Iss 3, Pp 164-

2022 Volume 171

Abstract: FTI UK Petra akan membangun pabrik garmen mini yang membutuhkan robot otonom. Robot otonom ini akan melakukan tugas material handling dalam pabrik tersebut. Oleh sebab itu, penelitian ini bertujuan untuk merancang perangkat lunak untuk mendukung tugas ... ...

Abstract	FTI UK Petra akan membangun pabrik garmen mini yang membutuhkan robot otonom. Robot otonom ini akan melakukan tugas material handling dalam pabrik tersebut. Oleh sebab itu, penelitian ini bertujuan untuk merancang perangkat lunak untuk mendukung tugas tersebut. Adapun robot otonom ini tergolong sebagai AMR (Autonomous Mobile Robot) karena dapat bergerak bebas pada lingkungan tanpa memerlukan bantuan garis atau tanda lainnya. Robot ini dilengkapi dengan sensor LIDAR untuk mendeteksi keadaan lingkungan sekitarnya secara 360 derajat. Dengan adanya sensor ini robot dapat melakukan pemetaan terhadap pabrik garmen dengan memanfaatkan metode SLAM. Robot juga dapat melakukan navigasi secara otonom dengan memanfaatkan pembacaan Sensor LIDAR dan algoritma DWA. Dari penelitian yang telah dilakukan, penulis menemukan bahwa perangkat lunak yang telah didesain mampu melakukan navigasi otonom dengan waktu yang kurang lebih sama dengan navigasi secara teleoperasi dan robot mampu mendeteksi QR Code pada jarak 10-20 cm menggunakan kamera. Dengan demikian, penelitian ini telah berhasil menghasilkan perangkat lunak untuk robot otonom yang akan digunakan pada pabrik garmen mini.
Keywords	qr code ; material handling ; autonomous mobile robot ; navigasi ; Electronic computers. Computer science ; QA75.5-76.95
Language	Indonesian
Publishing date	2022-01-01T00:00:00Z
Publisher	Universitas Andalas
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: DETEKSI LANDMARK CITRA WAJAH DENGAN EXTRAKSI FITUR GABOR ANALISA FUZZY

Resmana Lim

Jurnal Informatika, Vol 4, Iss 1, Pp pp.1-

2003 Volume 7

Abstract: This paper proposes a method that automatically finds human faces as well as its landmark points in color images based on a fuzzy analysis. The proposed approach first uses color information to detect face candidate regions and then uses a fuzzy analysis ...

Abstract	This paper proposes a method that automatically finds human faces as well as its landmark points in color images based on a fuzzy analysis. The proposed approach first uses color information to detect face candidate regions and then uses a fuzzy analysis of the color, shape, symmetry and interior facial features. A deformable Gabor wavelet graph matching is used to locate the facial landmark points describing the face. The latter allows for size and orientation variation since the search for landmark points allows for affine transformations as well as local deformations of the Gabor wavelet graph. The search is performed using a genetic algorithm that is essential because it effectively searches the solution space. Results based on the proposed method are included to verify the effectiveness of the proposed approach. Abstract in Bahasa Indonesia : Paper ini mengusulkan sebuah metode deteksi wajah beserta dengan titik landmarknya pada citra berwarna menggunakan analisa fuzzy. Proses awal menggunakan informasi warna kulit untuk menseleksi calon-calon obyek lantas dilanjukan dengan analisa fuzzy terhadap warna, bentuk, simetri dan fitur/landmark wajah. Proses lokalisasi landmark wajah menggunakan Gabor wavelet graph matching dengan memaksimalkan kemiripan antara landmark wajah model dengan obyek inputan. Proses maksimalisasi kemiripan ini menggunakan algoritma genetika. Hasil-hasil percobaan ditampilkan untuk memberikan gambaran keberhasilan dari metode yang diusulkan. Kata kunci: lokalisasi landmark wajah, analisa fuzzy, graph matching, algoritma genetika, Gabor wavelet.
Keywords	face landmark localization ; fuzzy analyzing ; graph matching ; genetic algorithm ; Gabor wavelet ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	629
Language	English
Publishing date	2003-01-01T00:00:00Z
Publisher	Petra Christian University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: APLIKASI SURABAYA HERITAGE BERBASIS WEBSITE

Andreas Handojo / Resmana Lim / Robby Christian / Robert Gosal / Yulius Bastion

Jurnal Informatika, Vol 13, Iss 1, Pp 15-

2015 Volume 19

Abstract: Utilization of communication and computer technology has spread into various fields. Begin from the world of entertainment, education, business, health, life-style, and also the tourist field. Nowadays, still lack of the information related to the city ... ...

Abstract	Utilization of communication and computer technology has spread into various fields. Begin from the world of entertainment, education, business, health, life-style, and also the tourist field. Nowadays, still lack of the information related to the city of Surabaya as historical information, information about tourist sites, and others. This research conduct to develop an application to explore the history of the city of Surabaya as historic sites, tourist sites, museums, and the event agenda in town. With this application, the user is expected to be able to learn about the history of the city of Surabaya in the interesting form by combining text, picture, sound, and Google map facilities, as well as well as the promotion of tourism and events agenda are hosted in the city of Surabaya. Surabaya Heritage Applications created on a web-based application that is intended for public to know better about the history, tourism objects, as well as the event agenda in the city of Surabaya. Based from the testing results, the application was able to perform functions such as pre-planned. Meanwhile, testing by sampling questionnaires to the user produce that the application is attracting interest from users by 85%. It can be concluded that the applications made quite meet the target research.
Keywords	history ; Surabaya ; city ; website ; application ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	900
Language	English
Publishing date	2015-01-01T00:00:00Z
Publisher	Petra Christian University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: GALILEE

Arthur Budiman / Resmana Lim

Jurnal Informatika, Vol 1, Iss 1, Pp pp.23-

AN INTERNET WEB BASED DISTANCE LEARNING SUPPORT SYSTEM

1999 Volume 32

Abstract: This paper presents a project of Web-based Distance Learning support system. The system has been built based on the Internet and World Wide Web facility. The system could be accessed with a web browser which is directed to a certain web server address so ...

Abstract	This paper presents a project of Web-based Distance Learning support system. The system has been built based on the Internet and World Wide Web facility. The system could be accessed with a web browser which is directed to a certain web server address so that students can do learning process just like in the real situation, such as student admissions, taking course materials, syllabus, assignments, students grades, class discussions through web, and doing online quizzes. Students could also join collaboration works by giving opinions, feedback and student produced paper/web which can be shared to the entire learning community. Therefore, it will build a collaborative learning environment where lectures together with students make constructive knowledge databases for entire learning community. This system has been developed based on Active Server Pages (ASP) technology from Microsoft which is embedded in a web server. Web pages reside in a web server which is connected to an SQL Database Server. Database server is used to store structured data such as lectures/students personal information, course lists, syllabus and its descriptions, announcement texts from lecturers, commentaries for discussion forum, student's study evaluations, scores for each assignment, quizzes for each course, assignments text from lectures, assignments which are collected by students and students contribution/materials. This system has been maintained by an administrator for maintaining and developing web pages using HTML. The administrator also does ASP scripts programming to convert web pages into active server pages. Lectures and students could contribute some course materials and share their ideas through their web browser. This web-based collaborative learning system gives the students more active role in the information gathering and learning process, making the distance students feel part of a learning community, therefore increasing motivation, comprehension and interaction with other students.
Keywords	Web-based collaborative learning ; cooperative learning ; computer-supported collaborative learning ; distance learning ; Internet supported learning ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	302
Language	English
Publishing date	1999-01-01T00:00:00Z
Publisher	Petra Christian University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: PENGGUNAAN METODE FUZZY c-COVERING UNTUK ANALISA MARKET BASKET PADA SUPERMARKET

Gregorius Satia Budhi / Resmana Lim / Osmand Prayitno

Jurnal Informatika, Vol 6, Iss 1, Pp pp.51-

2005 Volume 58

Abstract: Data mining application with fuzzy c-covering method for market basket analysis on supermarket. As one of data mining applications, market basket analysis is generally performed using apriori method. However this method tends to searh the association ... ...

Abstract	Data mining application with fuzzy c-covering method for market basket analysis on supermarket. As one of data mining applications, market basket analysis is generally performed using apriori method. However this method tends to searh the association degree of items by only counting how many times the items appears on the overall transaction without considering the items quantity on each transaction. Therefore, we propose a new method which is based on perception that the more items bought in a transaction, the weaker the relation between items on that transaction. For the experimental purpose of the realization the concept, we collect a month sales transaction data from a supermarket. The data are transformed to another form that can be used by the software. Then, an algorithm is created to process the data in order to generate association rule of items in transaction. The rules can be previewed in a table or graphic. Borland Ceplhi 7 and MS Access 2003 is used to build this experiment software. By using the output of this software, which are the association rules, association degree of items, can be obtained which is useful to help the decision maker to make market policies. Based on the testing result, it can concluded that the smaller minimum support and confidence, the more rule to be generated and the more processing time needed. Also, the higher the combination count to be searched, the less processing time needed. Abstract in Bahasa Indonesia : Sebagai salah satu aplikasi data mining, market basket analysis umumnya dilakukan dengan memakai metode Apriori. Metode ini mencari asosiasi antar item dengan hanya menghitung berapa kali item-item tersebut muncul dalam keseluruhan transaksi tanpa memperhatikan quantitas item dalam transaksi. Oleh karena itu, peneliti mengusulkan metode Fuzzy c-Covering. Metode ini didasarkan pada persepsi bahwa semakin banyak item yang dibeli dalam suatu transaksi, maka hubungan antar item dalam transaksi tersebut semakin lemah. Untuk pengujian realisasi konsep tersebut, peneliti ...
Keywords	market basket analysis ; association degree of items ; data mining software ; fuzzy c-covering ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	005
Language	English
Publishing date	2005-01-01T00:00:00Z
Publisher	Petra Christian University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: APLIKASI SEARCH ENGINE PAPER KARYA ILMIAH BERBASIS WEB DENGAN METODE FUZZY RELATION

Bernard Adytia Darmadi / Rolly Intan / Resmana Lim

Jurnal Informatika, Vol 6, Iss 2, Pp pp.95-

2005 Volume 99

Abstract: The number of paper collected by an educational institution is incresing each year. The increasing number of paper collected demand a method in order to find the right paper everytime there is someone who needs a reference. By far, most search engine ... ...

Abstract	The number of paper collected by an educational institution is incresing each year. The increasing number of paper collected demand a method in order to find the right paper everytime there is someone who needs a reference. By far, most search engine still depend on keyword matching / string maching to find the apropriate result. This method will only find the apropriate paper based on the occurance of the inserted keyword on the paper. This research will discuss a searching system using fuzzy relation, by using fuzzy relation the relation between keyword and paper is found and determined. Searching system using fuzzy relation allows the search result include paper that do not have the keyword to be shown as a result. This result is made posssible because the word which occur in the paper is related to keyword inserted. Abstract in Bahasa Indonesia : Banyaknya jumlah paper yang dikoleksi sebuah lembaga pendidikan setiap tahun akan bertambah. Seiring dengan pertambahan jumlah paper tersebut maka diperlukan sebuah metode untuk mencari paper agar bila membutuhkan referensi maka paper/dokumen yang diperlukan dapat dengan mudah dapat ditemukan. Sejauh yang ada saat ini, kebanyakan mesin pencari masih mengandalkan pencarian dengan menggunakan keyword matching/string matching sehingga mengakibatkan hasil pencarian hanya akan menampilkan paper-paper yang mempunyai keyword/kata kunci yang dicari. Penelitan ini membahas sebuah sistem pencarian dengan menggunakan metode fuzzy relation, dimana dengan fuzzy relation didapatkan hubungan antara keyword dan paper. Dengan metode fuzzy relation maka sebuah pencarian mempunyai kemungkinan menampilkan hasil berupa paper yang tidak mengandung keyword yang dicari. Karena kata yang mengakibatkan paper (yang tidak mengandung keyword muncul) mempunyai hubungan dengan keyword yang dimasukkan. Kata kunci: mesin pencari, relasi fuzzy, sistem cerdas.
Keywords	search engine ; fuzzy relation ; intelligent system ; Electronic computers. Computer science ; QA75.5-76.95
Language	English
Publishing date	2005-01-01T00:00:00Z
Publisher	Petra Christian University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: PELACAKAN DAN PENGENALAN WAJAH MENGGUNAKAN METODE EMBEDDED HIDDEN MARKOV MODELS

Arie Wirawan Margono / Ibnu Gunawan / Resmana Lim

Jurnal Informatika, Vol 5, Iss 1, Pp pp.22-

2004 Volume 31

Abstract: Tracking and recognizing human face becomes one of the important research subjects nowadays, where it is applicable in security system like room access, surveillance, as well as searching for person identity in police database. Because of applying in ... ...

Abstract	Tracking and recognizing human face becomes one of the important research subjects nowadays, where it is applicable in security system like room access, surveillance, as well as searching for person identity in police database. Because of applying in security case, it is necessary to have robust system for certain conditions such as: background influence, non-frontal face pose of male or female in different age and race. The aim of this research is to develop software which combines human face tracking using CamShift algorithm and face recognition system using Embedded Hidden Markov Models. The software uses video camera (webcam) for real-time input, video AVI for dynamic input, and image file for static input. The software uses Object Oriented Programming (OOP) coding style with C++ programming language, Microsoft Visual C++ 6.0® compiler, and assisted by some libraries of Intel Image Processing Library (IPL) and Intel Open Source Computer Vision (OpenCV). System testing shows that object tracking based on skin complexion using CamShift algorithm comes out well, for tracking of single or even two face objects at once. Human face recognition system using Embedded Hidden Markov Models method has reach accuracy percentage of 82.76%, using 341 human faces in database that consists of 31 individuals with 11 poses and 29 human face testers. Abstract in Bahasa Indonesia : Pelacakan dan pengenalan wajah manusia merupakan salah satu bidang yang cukup berkembang dewasa ini, dimana aplikasi dapat diterapkan dalam bidang keamanan (security system) seperti ijin akses masuk ruangan, pengawasan lokasi (surveillance), maupun pencarian identitas individu pada database kepolisian. Karena diterapkan dalam kasus keamanan, dibutuhkan sistem yang handal terhadap beberapa kondisi, seperti: pengaruh latar belakang, pose wajah non-frontal terhadap pria maupun wanita dalam perbedaan usia dan ras. Tujuan penelitiam ini adalah untuk membuat perangkat lunak yang menggabungkan sistem pelacakan wajah manusia dengan menggunakan algoritma ...
Keywords	Computer Vision ; Object Tracking ; CamShift ; Face Recognition ; Hidden Markov Model ; Electronic computers. Computer science ; QA75.5-76.95
Language	English
Publishing date	2004-01-01T00:00:00Z
Publisher	Petra Christian University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: OPTIMASI PENGAMBILAN DAN PENATAAN ULANG BARANG DI GUDANG DENGAN PENERAPAN STACK MENGGUNAKAN METODE GENETIC ALGORITHM

Resmana Lim / Ong Wie Gang / Kartika Gunadi

Jurnal Informatika, Vol 5, Iss 1, Pp pp.39-

2004 Volume 52

Abstract: Industrial field which getting more advance needs computer to help them. In industrial field, computer will make something get easier, fetching and reordering goods in warehouse is including here. A software including that needs have been made by writers. ...

Abstract	Industrial field which getting more advance needs computer to help them. In industrial field, computer will make something get easier, fetching and reordering goods in warehouse is including here. A software including that needs have been made by writers. This software is specified for a warehouse which goods stored in plates at the rack in the warehouse. To reordering goods, writers use the Genetic Algorithm, which will process making population, finding the fitness cost with counting the vast and weight of the goods, sorting, immigration, cross over, and mutation. With this software, user can also check the condition of the warehouse in two and three dimensions, using OpenGL. This optimation software have been tried and give fitness cost average up to 90%, this software have been succeed to operate the function. Abstract in Bahasa Indonesia : Dunia industri yang semakin maju membutuhkan komputer sebagai alat bantu utama. Sistem komputerisasi di dalam dunia industri akan membuat beberapa hal menjadi lebih mudah, antara lain dalam pengambilan barang dan penataan ulang barang di gudang. Suatu perangkat lunak untuk keperluan tersebut telah dibuat oleh penulis. Perangkat lunak yang dibuat ini dikhususkan untuk gudang yang barang-barangnya disimpan dalam palet-palet pada rak di gudang. Penataan ulang barang ini menggunakan algoritma genetika, yang akan melalui proses pembuatan populasi awal, pencarian fitness cost dengan memperhitungkan luas area dan berat barang, pengurutan data, imigrasi, persilangan, dan mutasi. Melalui perangkat lunak ini, user juga dapat melihat kondisi gudang secara baik secara 2 dimensi ataupun 3 dimensi, yang dalam pengerjaannya menggunakan OpenGL. Sistem dari perangkat lunak yang dibuat ini sudah diuji coba dan memberikan nilai rata-rata fitness cost di atas 90%, ini berarti perangkat lunak ini telah sukses dalam menjalankan fungsinya. Kata kunci: penataan barang, pengambilan barang dari gudang, penataan ulang barang, rak, palet, Algoritma Genetika, imigrasi, persilangan, mutasi, OpenGL.
Keywords	ordering goods ; to fetch goods ; reordering goods ; plate ; rack ; Genetic Algorithm ; immigration ; cross over ; mutation ; OpenGL ; Electronic computers. Computer science ; QA75.5-76.95
Language	English
Publishing date	2004-01-01T00:00:00Z
Publisher	Petra Christian University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: IDENTIFIKASI PERSONAL BERDASARKAN CITRA STRUKTUR TANGAN

Thiang thiang / Resmana Lim / Budiono Sentoso

Jurnal Informatika, Vol 4, Iss 2, Pp pp.103-

2003 Volume 108

Abstract: People's hand structure recognition is one of important research area in biometrics. The paper presents a development of hand structure recognition system. The system used color hand images captured from 14 people, with each of 10 images. The images was ... ...

Abstract	People's hand structure recognition is one of important research area in biometrics. The paper presents a development of hand structure recognition system. The system used color hand images captured from 14 people, with each of 10 images. The images was devided into 2 set which are training set and test set. The color image was converted into greyscale image then folowing a process of thresholding, closing and opening. The feature vector of 14 fiducial lines was extracted from the image of hand structure that represent hand structure. A pattern recognition was deployed on these feature vectors resulting people identity. The experiment results showed that the system has a good prospect to be incorporated into a biometrics system. Abstract in Bahasa Indonesia : Pengenalan struktur tangan manusia merupakan salah satu bidang penelitian yang penting dalam area biometrics. Pada penelitian ini, akan dibuat suatu program pengenalan struktur tangan seseorang. Pada percobaan struktur tangan ini data yang digunakan diperoleh dari 14 orang, tiap orang diambil 10 gambar. Sebagian gambar digunakan sebagai template/ database/training-set dan sebagian digunakan untuk testing-set. Gambar berwarna diubah menjadi grayscale yang kemudian di threshold lalu dilakukan proses Closing dan Opening. Diambil informasi panjang dari 14 garis utama yang mewakili struktur tangan untuk menghasilkan feature vector. Feature vektor ini selanjutnya digunakan untuk pengenalan pola. Hasil pengujian sistem menunjukkan bahwa pengenalan struktur tangan dapat dipertimbangkan untuk keperluan biometrics. Kata kunci: biometrics, pengenalan pola, pengenalan struktur tangan.
Keywords	biometrics ; pattern recognition ; hand structure recognition ; Electronic computers. Computer science ; QA75.5-76.95
Language	English
Publishing date	2003-01-01T00:00:00Z
Publisher	Petra Christian University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: PREDIKSI KEPADATAN KENDARAAN BERMOTOR BERDASARKAN TINGKAT KEBISINGAN LALU LINTAS DENGAN MENGGUNAKAN LOGIKA FUZZY

Resmana Lim / Thiang Thiang / Jusak Agus Kuntjoro

Jurnal Informatika, Vol 3, Iss 2, Pp pp.53-

2002 Volume 58

Abstract: The paper describes a fuzzy logic based system to predict the number of vehicle flow based on its noise. The system equipped by a sensor using a microphone an a 8088 microprocessor. The prediction results are displayed on 7-segment display. The fuzzy ... ...

Abstract	The paper describes a fuzzy logic based system to predict the number of vehicle flow based on its noise. The system equipped by a sensor using a microphone an a 8088 microprocessor. The prediction results are displayed on 7-segment display. The fuzzy inference system used a strategy of MIN-MAX with 3 inputs which are: noise level, the width of road & a correction factor. A Defuzzification method of COG (Center of Gravity) is depployed in the system to produce prediction result in number of vehicle per minnute. The experimental results are presented to figure out the performance of the prediction comparing to the actual number of vehicle. The result shows that the prediction error of the system is about 7-10% comparing to the prediction by using human ear resulting the error of 4-5%. Abstract in Bahasa Indonesia : Paper ini menyajikan pengembangan sebuah sistem prediksi jumlah kendaraan bermotor yang lewat pada suatu jalan berdasarkan tingkat kebisingan lalu lintas dengan menggunakan logika fuzzy. Alat yang dibuat menggunakan sistem mikroprosesor 8088 yang dilengkapi dengan sensor bising berupa mikropon. Hasil prediksi jumlah kendaraan ditampilkan pada display 7-segment led. Sistem inferensia fuzzy yang dipakai di sini menggunakan strategi MIN-MAX dengan tiga crisp input yaitu: level kebisingan, lebar jalan di mana alat ini dipakai dan faktor koreksi. Sedangkan metode defuzifikasi menggunakan COG (Center of Gravity) untuk menghasilkan crisp output berupa prediksi jumlah kendaraan per menit. Pengujian sistem dilakukan dengan 2 cara yaitu membandingkan hasil prediksi alat dengan jumlah kendaraan sebenarnya, dan ke dua adalah membandingkan hasil prediksi dengan hasil perhitungan berdasarkan pendengaran telinga manusia dengan mata tertutup. Hasil percobaan menujukan kesalahan prediksi pada percobaan pertama adalah 7-10% sedangkan kesalahan prediksi alat bila dibandingkan hasil perhitungan telinga manusia adalah sekitar 4-5%. Kata kunci: prediksi jumlah kendaraan berdasarkan kebisingan, sistem prediksi fuzzy logic.
Keywords	noise based vehicle flow prediction ; noise prediction ; fuzzy logic prediction system ; Electronic computers. Computer science ; QA75.5-76.95
Language	English
Publishing date	2002-01-01T00:00:00Z
Publisher	Petra Christian University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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