Optimal Behavior of Spectral Line Analysis Through Fine Identification of Heavy Metal Lines in Crude Oil Using LIPS-Technique

Assessment of the quality of minerals, especially heavy ones, in crude oil by identifying spectral lines is very important to determine the quality and specifications of crude oil and the following treatments in production of the lines. In this study heavy metals lines (HMs) found in crude oil extracted from Iraq south field were identified that are unique spectral lines by using the laser-induced plasma spectroscopy (LIPS – mechanism), which were analyzed later by spectrometer based on the principle of finger print. The optimum spectrum (analytical lines) of metals emitted from the crude oil plasma in air were selected and determined. By determining the optimization behavior for evaluation procedure, the important condition was laser spot number (scan area). Comparison was performed between the fundamental wavelength and harmonic generation (HG) used in the laser beam to determine the optimum spectrum and optical insulator to cover the selected sample at atmospheric air pressure and room temperature. The results obtained from the actual raw spectrum were determined to represent the emission lines without the influence of foreign light (no noise) using the optical isolator, and unique new analytical lines were identified when increasing the number of lasers points up to 5 points, and a balanced spectrum was determined with good absorption when using a basic wavelength of 1064 nm. Difficulties were presented due to the characteristics of the crude oil as organic liquid case. The optimum results obtained indicated that the LIPS technique is effective and a control technique to well identify the spectrum lines of the heavy metals (HMs) presented in the crude oil.

Controlling Agents by Constrained Policy Updates

Learning the optimal behavior is the ultimate goal in reinforcement learning. This can be achieved by many different approaches, the most successful of them are policy gradient methods. However, they can suffer from undesirably large updates of policies, leading to poor performance. In recent years there has been a clear trend toward designing more reliable algorithms. This paper addresses to examine different restriction strategies applied to the widely used Proximal Policy Optimization (PPO-Clip) technique. We also question whether the analyzed methods are able to adapt not only to low-dimensional tasks but also to complex, high-dimensional problems in control and robotic domains. The analysis of the learned behavior shows that these methods can lead to better performance compared to the original PPO-Clip algorithm, moreover, they are also able to achieve complex behavior and policies in high-dimensional environments.

Real-time Bidding for Time Constrained Impression Contracts in First and Second Price Auctions - Theory and Algorithms

We study the optimal bids and allocations in a real-time auction for heterogeneous items subject to the requirement that specified collections of items of given types be acquired within given time constraints. The problem is cast as a continuous time optimization problem that can, under certain weak assumptions, be reduced to a convex optimization problem. Focusing on the standard first and second price auctions, we first show, using convex duality, that the optimal (infinite dimensional) bidding policy can be represented by a single finite vector of so-called ''pseudo-bids''. Using this result we are able to show that the optimal solution in the second price case turns out to be a very simple piecewise constant function of time. This contrasts with the first price case that is more complicated. Despite the fact that the optimal solution for the first price auction is genuinely dynamic, we show that there remains a close connection between the two cases and that, empirically, there is almost no difference between optimal behavior in either setting. This suggests that it is adequate to bid in a first price auction as if it were in fact second price. Finally, we detail methods for implementing our bidding policies in practice with further numerical simulations illustrating the performance.

THE ROLE OF ATTITUDE TO MONEY IN MEDIATING THE RELATIONSHIP BETWEEN KNOWLEDGE MANAGEMENT AND FINANCIAL PERFORMANCE: A STUDY OF MSMES USING ECOMMERCE AND NONECOMMERCE IN THE CITY OF PONTIANAK – INDONESIA

The purpose of this research is to look into the function of money attitudes in mediating the link between knowledge management and financial performance. Knowledge Management is the independent variable in this study, whereas financial performance is the dependent variable, and Attitude to Money is the mediating variable. Using SPSS 23 analytic software. Data was collected utilizing the questionnaire approach with Linkert’s scale, a randomly selected sample based on specified criteria, and a total of 219 MSMEs in Pontianak City. The findings of this research are the knowledge management variable of MSME actors in the city of Pontianak has a significant influence on the Attitude to money variable. The more knowledge management increases, the better and optimal behavior to money will also be. However, the role of the attitude toward money variable appears to be ineffective in mediating the association between knowledge management and financial performance.

Neural Networks with Disabilities: An Introduction to Complementary Artificial Intelligence

Machine learning is a good tool to simulate human cognitive skills as it is about mapping perceived information to various labels or action choices, aiming at optimal behavior policies for a human or an artificial agent operating in the environment. Regarding autonomous systems, objects and situations are perceived by some receptors as divided between sensors. Reactions to the input (e.g., actions) are distributed among the particular capability providers or actuators. Cognitive models can be trained as, for example, neural networks. We suggest training such models for cases of potential disabilities. Disability can be either the absence of one or more cognitive sensors or actuators at different levels of cognitive model. We adapt several neural network architectures to simulate various cognitive disabilities. The idea has been triggered by the “coolability” (enhanced capability) paradox, according to which a person with some disability can be more efficient in using other capabilities. Therefore, an autonomous system (human or artificial) pretrained with simulated disabilities will be more efficient when acting in adversarial conditions. We consider these coolabilities as complementary artificial intelligence and argue on the usefulness if this concept for various applications.

Contribution of the generalized nonunique inverses to the minimum-energy control theory: The inverse model control investigation

The innovative analytical approach to the minimum-energy design problem of the inverse model control (IMC) state-space structures is presented in this work. Following the recent papers, it should be concluded that the optimal behavior of the IMC strategy cannot longer be associated with the application of the well-known Moore–Penrose minimum-norm inverse. However, the minimum-energy IMC-oriented scheme has only be obtained through heuristic methods. Nevertheless, in the recent authors’ work, it has been proven for the first time that such an issue can be considered in an analytical manner. Yet, the obtained results have only been valid for the second-order state-space systems. Therefore, the motivation instance proposed in the manuscript, confirming the possibility of extending such paradigm to higher-order plants, will certainly contribute to the introduction of the new unified minimum-energy IMC theory canon. Since the nonunique σ and H inverses can successfully be employed in the robustification of the discussed control strategy, they can also be helpful in the case of our essential considerations. Thus, from now on the yet unexplored research area can now be investigated in the analytical manner, what has never been seen before in the modern IMC-originated control theory and practice. The predefined methodology clearly fills the gap in the analytical control design procedures and opens a new chapter in the knowledge related to the well-known and broadly accepted multivariable control canons.

Paranoia, self-deception and overconfidence

Self-deception, paranoia, and overconfidence involve misbeliefs about the self, others, and world. They are often considered mistaken. Here we explore whether they might be adaptive, and further, whether they might be explicable in Bayesian terms. We administered a difficult perceptual judgment task with and without social influence (suggestions from a cooperating or competing partner). Crucially, the social influence was uninformative. We found that participants heeded the suggestions most under the most uncertain conditions and that they did so with high confidence, particularly if they were more paranoid. Model fitting to participant behavior revealed that their prior beliefs changed depending on whether the partner was a collaborator or competitor, however, those beliefs did not differ as a function of paranoia. Instead, paranoia, self-deception, and overconfidence were associated with participants’ perceived instability of their own performance. These data are consistent with the idea that self-deception, paranoia, and overconfidence flourish under uncertainty, and have their roots in low self-esteem, rather than excessive social concern. The model suggests that spurious beliefs can have value–self-deception is irrational yet can facilitate optimal behavior. This occurs even at the expense of monetary rewards, perhaps explaining why self-deception and paranoia contribute to costly decisions which can spark financial crashes and devastating wars.

Hubungan Pengetahuan dan Sikap dengan Perilaku Pencegahan Covid-19 pada Siswa di SMPN 13 Pesawaran

ABSTRACT : RELATIONSHIP OF KNOWLEDGE AND ATTITUDE WITH COVID-19 PREVENTION BEHAVIOR IN STUDENTS AT SMPN 13 PESAWARANIntroduction: Based on observations made on offline students (outside the network) it was found that there were students who did not understand, obey and apply health protocols at school. It was found (39.7%) of students did not comply with the health protocol outside the supervision of the teacher, such as not bringing a mask to school, not keeping the distance between friends, and still having students touching the face area.Objective: It is known how the relationship between knowledge and attitudes with Covid-19 prevention behavior in students at SMPN 13 Pesawaran.Methods: This research uses quantitative research with observational analytic methods, namely research that tries to understand the relationship between variables by analyzing the data that has been obtained. The research design used is a cross-sectional design to determine the relationship between knowledge and attitudes with COVID-19 prevention behavior in offline students at State Junior High School (SMP N) 13 Pesawaran.Results: Statistical test of knowledge using chi-square, obtained P-Value 0.000 so that P-Value (0.0<0.5) then there is a relationship with the value of Odds Ratio 9.8 attitude statistic test using chi-square, obtained P-Value 0.01 so P-Value (0.1<0.5) then there is a relationship with the value of Odds Ratio 8.Conclusions and suggestions: Students of SMPN 13 Pesawaran have less than optimal knowledge and attitudes accompanied by less than optimal behavior in preventing Covid-19. To further improve supervision of school residents so that they always comply with health protocols to break the transmission line of Covid-19. Keywords: Knowledge, Attitude, Covid-19 Prevention Behavior INTISARI : HUBUNGAN PENGETAHUAN DAN SIKAP DENGAN PERILAKU PENCEGAHAN COVID-19 PADA SISWA DI SMPN 13 PESAWARANPendahuluan : Berdasarkan pengamatan yang dilakukan pada siswa luring (luar jaringan)ditemukan adanya siswa yang belum memahami, mematuhi dan menerapkan protokol kesehatan disekolah. Ditemukan (39,7%) siswa yang tidak mematuhi protokol kesehatan diluar pengawasan guru seperti tidak membawa masker saat kesekolah, tidak menjaga jarak antar teman dan masih adanya siswa yang menyentuh area wajah. Tujuan : Diketahui bagaimana hubungan pengetahuan dan sikap dengan perilaku pencegahan Covid-19 Pada Siswa Di SMPN 13 Pesawaran.Metode : Penelitian menggunakan jenis penelitian kuantitaif dengan metode analitik observasional, yaitu penelitian yang mencoba memahami hubungan antar variable dengan menganalisis data yang telah diperoleh. Desain penelitian yang digunakan yaitu desain cross-sectional untuk mengetahui hubungan antara pengetahuan dan sikap dengan perilaku pencegahan COVID-19 pada siswa yang luring di Sekolah Menengah Pertama Negeri (SMP N) 13 Pesawaran.Hasil : Uji statistik pengetahuan menggunakan chi-square, didapat P-Value 0.000 sehingga P-Value ɑ (0.0<0.5) maka terdapat hubungan dengan nilai Oods Ratio 9.8 uji statistik sikap menggunakan chi-square, didapat P-Value 0.01 sehingga P-Value ɑ (0.1<0.5) maka terdapat hubungan dengan nilai Oods Ratio 8.Kesimpulan dan saran : Siswa SMPN 13 Pesawaran memiliki pengetahuan dan sikap yang kurang optimal diiringi dengan perilaku yang kurang optimal dalam pencegahan Covid-19. Agar bisa lebih meningkatkan pengawasan pada warga sekolah agar selalu mematuhi protokol kesehatan agar dapat memutus tali penularan Covid-19. Kata Kunci: Pengetahuan, Sikap, Perilaku Pencegahan Covid-19