Melalui pandangan Timothy Morton tentang ‘hiposubjektivitas’, artikel ini mencoba memberikan alternatif baru terhadap filsafat manusia yang tidak antroposentris. Antroposentrisme sendiri merupakan paradigma yang memberikan keistimewaan bagi manusia secara kosmologis, epistemik, dan aksiologis. Pandangan alternatif penting karena krisis lingkungan skala besar sedang terjadi dengan akibat kehidupan pada biosfer terancam punah hingga memunculkan usulan klasifikasi waktu geologis baru: dari kala Holosen menjadi Antroposen. Secara ironis, kala Antroposen menunjukkan di satu sisi kebenaran premis antroposentris bahwa kedigdayaan manusia telah berhasil mengintervensi kondisi non-manusia, tetapi (...) di sisi lain perubahan ini kemudian justru membuat manusia tidak berdaya di hadapan krisis yang diakibatkannya sendiri. Melalui konsep hiposubjektivitas, Morton menawarkan penjelasan relasi antara manusia dan non-manusia sebagai suatu kolektif simbiotis yang seharusnya saling bekerja sama melalui solidaritas antara ‘makhluk spesies’. Dengan demikian, artikel ini menekankan pemaknaan bahwa manusia bukanlah segala-galanya di semesta ini. -/- This article proposes a new alternative account to anthropocentric explanations of the philosophy of man through Timothy Morton’s view of ‘hyposubjectivity’. Anthropocentrism is a paradigm that privileges human beings in cosmology, epistemology, and axiology. An alternative view is important because large-scale changes are threatening and may lead to the extinction of life in the biosphere, which results in a new proposed geological time classiÞcation that shifts the Holocene epoch to the Anthropocene. Ironically, while the anthropocentric view proves its premise on human dominance over non-human conditions, this change has in fact made humans powerless in the face of the change itself. Through the concept of hyposubjectivity, Morton offers an explanation of the relationship between humans and nonhumans as a symbiotic collective that should work together through solidarity between ‘species beings’. This article wants to emphasize the meaning that human being does not constitute the totality of the universe. (shrink)

No USA president in history has received as much opposition as Donald Trump has from all three components of the Establishment, namely the financial establishment, the political establishment and the corporate media establishment. The election of Donald Trump to the office of presidency is marked with dozens of historical first events that are anything but lackluster, yet a bleak picture of Fascism has been painted to describe Trump. This is an extraordinary piece of disinformation, as no modern president has been (...) more consistent in plainly saying what he will do regarding US military and geopolitical goals, both outside and in office. This, even though his stated position is clearly opposite to the wishes of the dominant cabal, supported by both parties, and to US foreign policy since WWII. USA history is not very long, but Trump presidency and his inaugural speech marked a historic starting point for this 'democracy'. Every sentence of Donald J. Trump's inaugural speech was a departure from diplomacy. Knowing what diplomacy actually means, it's a great step toward transparency. It is the best thing that happened in US political history. It is no surprise the Media established completely flipped, the political establishment gasped, and the financial establishment started to conspire a different strategy (George Soros declaring he wants Trump presidency to fail). In the mean time, the typically apolitical science and technology establishment declared Trump completely unfit for the office that he has just been elected to. Trump’s inaugural speech that contained phrases like, "It's time to remember that old wisdom our soldiers will never forget, that whether we are black or brown or white, we all bleed the same red blood of patriots", was in sharp contrast to how Abraham Lincoln viewed America, when he said, "I, as much as any other man, stand in favor of having the superior position assigned to the white race… I have no purpose to introduce political and social equality between the white and the black races." Trump’s embrace of humanity and righteousness was reminiscent of Prophet Muhammad’s last sermon at the pilgrimage, where he said over 1400 years, "An Arab is no better than a non-Arab, and a non-Arab is no better than an Arab; a red man is no better than a black man and a black man is no better than a red man – except if it is in terms of piety." Yet, Trump took oath of office swearing on the bible used by Abraham Lincoln. In this two-part paper, the key research question answered is what Trump presidency stands for. In answering this question, the first part deconstructs some of the dominant theories of Fascism. Then, a delinearized history is constructed in order to understand how democracy, as applied in USA, has an inevitable outcome of achieving the same goals as a Fascist regime. The concept of religious extremism, including “Islamic terrorism” or “radical Islam” is also discussed with relevance to ‘war on terror’. The history of US presidency then shows that the office of presidency is used as a tool to advance a Fascist agenda, albeit being packaged as USA exceptionalism. The ground is set for part 2 that analyses the rise of Trump and the demise of DNC integrity, followed by deconstruction of various allegations against Trump. (shrink)

Abstract: This research involved the design of an initial expert system which helps farmers and specialists diagnose and provide appropriate advice on banana diseases. The management of knowledge used in the expert system was also discussed. One of the key elements of this research was to find the appropriate language to diagnose the disease and the current situation in the knowledge base. Expert systems enable effective consultation. Production rules were used to capture knowledge. The expert system was developed using CLIPS (...) with the Delphi 10.2 as user interface. The expert system produced good results in analyzing cases of tested banana disease and enabling the system to determine the correct diagnosis in all cases. (shrink)

Abstract: This research involved the design of an initial expert system which helps farmers and specialists diagnose and provide appropriate advice on banana diseases. The management of knowledge used in the expert system was also discussed. One of the key elements of this research was to find the appropriate language to diagnose the disease and the current situation in the knowledge base. Expert systems enable effective consultation. Production rules were used to capture knowledge. The expert system was developed using CLIPS (...) with the Delphi 10.2 as user interface. The expert system produced good results in analyzing cases of tested banana disease and enabling the system to determine the correct diagnosis in all cases. (shrink)

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and reacts like humans, some of the computer activities with artificial intelligence are designed to include speech, recognition, learning, planning and problem solving. Deep learning is a collection of algorithms used in machine learning, it is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep learning is used as a (...) technique to produce brain tumor detection and classification models using Magnetic Resonance Imaging (MRI) imaging for rapid and easy detection and identification of brain tumor. In this thesis, some ways and mechanisms will be reviewed to use deep learning techniques to produce a model for brain tumor detection. The goal is to find a good and effective way to detect brain tumor based on MRI to help the brain doctor in making decisions easily, accurately and rapidly. A recent report by the World Health Organization in February 2018 showed that the death rate from brain cancer or central nervous system (CNS) is the highest in the Asian continent. It is important to detect cancer early so that many of these lives can be saved. The model has been designed and implemented, including a dataset which consist of 10,000 images for brain tumor detection through the use of Deep learning algorithms based on neural networks. For testing, we have used our model, Inception, VGG16, MobileNet and ResNet models. The f-score accuracy we got for each model was as follows: Our model was 98.28, VGG16 was 99.86%, ResNet50 was 98.14%, MobileNet was 88,98%, and InceptionV3 was 99.88%. (shrink)

Abstract: The paper describes the design of an intelligent tutoring system for teaching Introduction to Computer Science-a compulsory curriculum in Al-Azhar University of Gaza to students who attend the university. The basic idea of this system is a systematic introduction into computer science. The system presents topics with examples. The system is dynamically checks student's individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on the performance of students enrolled in computer (...) science curriculum at Al-Azhar University, Gaza. The results showed a positive impact on the evaluators. (shrink)

Abstract: The paper describes the design of an intelligent tutoring system for teaching Introduction to Computer Science-a compulsory curriculum in Al-Azhar University of Gaza to students who attend the university. The basic idea of this system is a systematic introduction into computer science. The system presents topics with examples. The system is dynamically checks student's individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on the performance of students enrolled in computer (...) science curriculum at Al-Azhar University, Gaza. The results showed a positive impact on the evaluators. (shrink)

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with 97.50 (...) % accuracy. The factor of DriveTrain has the most influence on MPG_City evaluation. Similar studies can be carried out for the evaluation of other characteristics of cars. (shrink)

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with 97.50 (...) % accuracy. The factor of DriveTrain has the most influence on MPG_City evaluation. Similar studies can be carried out for the evaluation of other characteristics of cars. (shrink)