THE SETTINGS ALGORITHM OF A NEURO-FUZZY PI-CONTROLLER

2020 ◽  
Vol 12 (2) ◽  
Author(s):  
Atamurat Mambetov ◽  
Rasul Beglerbekov ◽  
Hurliman Sultanova
Keyword(s):  
Pi Controller ◽  
Neuro Fuzzy ◽  
Fuzzy Pi Controller

Reforming Arab Reason

2018 ◽  
Vol 11 (1-2) ◽  
pp. 19-42
Author(s):  
Khalid Shibib
Keyword(s):  
Arab World ◽  
Legal Reasoning ◽  
Decisive Role ◽  
Arab Countries ◽  
Religious Knowledge ◽  
Intrinsic Factors ◽  
Knowledge Based ◽  
Present Information ◽  
Cultural Construct ◽  
Political Economic

As a humanitarian worker who was professionally involved for decades in crisis- and war-shaken countries, the author strove to understand the political, socioeconomic, and cultural factors contributing to conflicts. This contextualization, with a focus on Arab countries, confirmed what other thinkers found: the majority of political, economic, social, cultural, religious, and finally humanitarian crises in the Arab world are man-made and can be attributed to both extrinsic and intrinsic factors. Central to the latter appears to be a shared cultural construct that can be termed “Arab reason.” This essay tries to present information on various aspects of the crisis; to understand why reform efforts come so late and why are they are more difficult for Arabs than for other Muslims. It continues by looking at the knowledge systems that govern Arab reason and their evolution, including the decisive role of the religious knowledge system. From there, it proposes some reform ideas including a renewed legal reasoning process with the goal of a future-oriented, knowledge-based, and inclusive Arab Islamic vision. A pragmatic way forward could be an additional unifying eighth legal school (madhhab/madhāhib) to counter sectarian conflicts and violence. This essay is built on a targeted literature search and is not a comprehensive review of the growing literature generated by distinguished thinkers on various aspects of Arab Islamic identity.

Aplikasi Peramalan Kebutuhan Beban Listrik Menggunakan Metode Adaptive Neuro Fuzzy Inference System (ANFIS)

2017 ◽  
Vol 3 (1) ◽  
pp. 36-48
Author(s):  
Erwan Ahmad Ardiansyah ◽  
Rina Mardiati ◽  
Afaf Fadhil
Keyword(s):  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Inference System ◽  
Neuro Fuzzy

Prakiraan atau peramalan beban listrik dibutuhkan dalam menentukan jumlah listrik yang dihasilkan. Ini menentukan  agar tidak terjadi beban berlebih yang menyebabkan pemborosan atau kekurangan beban listrik yang mengakibatkan krisis listrik di konsumen. Oleh karena itu di butuhkan prakiraan atau peramalan yang tepat untuk menghasilkan energi listrik. Teknologi softcomputing dapat digunakan  sebagai metode alternatif untuk prediksi beban litrik jangka pendek salah satunya dengan metode  Adaptive Neuro Fuzzy Inference System pada penelitian tugas akhir ini. Data yang di dapat untuk mendukung penelitian ini adalah data dari APD PLN JAWA BARAT yang berisikan laporan data beban puncak bulanan penyulang area gardu induk majalaya dari januari 2011 sampai desember 2014 sebagai data acuan dan data aktual januari-desember 2015. Data kemudian dilatih menggunakan metode ANFIS pada software MATLAB versi b2010. Dari data hasil pelatihan data ANFIS kemudian dilakukan perbandingan dengan data aktual dan data metode regresi meliputi perbandingan anfis-aktual, regresi-aktual dan perbandingan anfis-regresi-aktual. Dari perbandingan disimpulkan bahwa data metode anfis lebih mendekati data aktual dengan rata-rata 1,4%, menunjukan prediksi ANFIS dapat menjadi referensi untuk peramalan beban listrik dimasa depan.

Zakat Tanaman Menurut Ulama Dayah Aceh Perspektif Maqāṣid Al-Syarī‘ah

2018 ◽  
Vol 12 (2) ◽  
pp. 281-296
Author(s):  
Alimuddin Alimuddin ◽  
Harjoni Desky
Keyword(s):  
Oil Palm ◽  
Legal Reasoning ◽  
The Other ◽  
Staple Food ◽  
Other Hand ◽  
Deductive Method ◽  
Depth Study

This study examines the reasons for Achehness Ulama of Dayah regarding plants and seeds that are subject to zakat. How the logic of thinking used by these ulama and their relationship with maqāṣid al-syarī‘ah (syariah legal purposes). This research focuses on the legal substance of zakat as intended by the Qur’an and Hadith, then it is analyzed from the side of maqāṣid al-syarī‘ah. The results of this study indicate that Acehnese Ulama argues that zakat of plants is only rice or a kind of staple food, on the grounds that it is a staple food of a country’s population, which has filling properties and can be stored and lasted. Other plants such as oil palm, cocoa, coffee, even though they are productive they are not zakatable wealth, because they do not meet these criteria. The legal reasoning of the Acehness Ulama uses the deductive method with the bayani (language) approach. On the other hand, the Acehness Ulama does not deny that the search for maqāṣid al-syarī‘ah can be done through in-depth study, but it is not yet certain that the obligations of zakat on productive plants can be formulated through this approach, so they reject it. According to them, the command of zakat can only be understood from the side of ta‘abbudī (worship approach), not through ta‘aqqulī (resourceful approach).

Automated Characterization of Atheromatous Plaque in Intravascular Ultrasound Images Using Neuro Fuzzy Classifier

2012 ◽  
Vol 58 (4) ◽  
pp. 425-431 ◽  
Author(s):  
D. Selvathi ◽  
N. Emimal ◽  
Henry Selvaraj
Keyword(s):  
Intravascular Ultrasound ◽  
Human Error ◽  
Human Life ◽  
Classification Performance ◽  
Atheromatous Plaque ◽  
Ultrasound Images ◽  
Fuzzy Classifier ◽  
Neuro Fuzzy ◽  
Calcified Tissues

Abstract The medical imaging field has grown significantly in recent years and demands high accuracy since it deals with human life. The idea is to reduce human error as much as possible by assisting physicians and radiologists with some automatic techniques. The use of artificial intelligent techniques has shown great potential in this field. Hence, in this paper the neuro fuzzy classifier is applied for the automated characterization of atheromatous plaque to identify the fibrotic, lipidic and calcified tissues in Intravascular Ultrasound images (IVUS) which is designed using sixteen inputs, corresponds to sixteen pixels of instantaneous scanning matrix, one output that tells whether the pixel under consideration is Fibrotic, Lipidic, Calcified or Normal pixel. The classification performance was evaluated in terms of sensitivity, specificity and accuracy and the results confirmed that the proposed system has potential in detecting the respective plaque with the average accuracy of 98.9%.

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