bare bones
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2022 ◽  
Author(s):  
Allen Rubin

Win probabilities have become a staple on scoreboards in physical sports such as baseball and basketball. Esports, or competitive video games with sponsored teams and major audiences, typically lack this detailed statistical analysis, beyond bare-bones metrics and commentator intuition. However, the advantage of esports in their tendency to have a central record of every game event makes them ripe for statistical analysis through machine learning. Previous research has covered popular video game genres such as MOBAs, and has found success in predicting game winners most of the time [1]. Counterstrike: Global Offensive (CSGO) is an esport that is unique in its round and game-based nature, allowing researchers to examine how short and long-term decisions can interplay in competitive environments. We introduce a dataset of CSGO games To assess factors such as player purchasing decisions and individual scores, we introduce 3 round and game win probability models. Finally, we evaluate the performances of the models. We successfully predict winners in the majority of cases, better than the map average baseline win statistics.


2022 ◽  
pp. 293-324
Author(s):  
Saad Mohammad Abdullah ◽  
Ashik Ahmed

In this chapter, a hybrid bare bones fireworks algorithm (HBBFWA) is proposed and its application in solving the load flow problem of islanded microgrid is demonstrated. The hybridization is carried out by updating the positions of generated sparks with the help of grasshopper optimization algorithm (GOA) mimicking the swarming behavior of grasshoppers. The purpose of incorporating GOA with bare bones fireworks algorithm (BBFWA) is to enhance the global searching capability of conventional BBFWA for complex optimization problems. The proposed HBBFWA is applied to perform the load flow analysis of a modified IEEE 37-Bus system. The performance of the proposed HBBFWA is compared against the performance of BBFWA in terms of computational time, convergence speed, and number of iterations required for convergence of the load flow problem. Moreover, standard statistical analysis test such as the independent sample t-test is conducted to identify statistically significant differences between the two algorithms.


Author(s):  
Dr .Syeda Sadia

Family laws are an essence in  settling on and resolving all issues in any country and in this regard tangling disputes between spouses and issues of divorce and Khula are brought forth the courts so that these matters and issues can be resolve and sort out neutrally and fairly. The  court procedure has grave importance  for the finest  resolution of such sort of  issues and cases. Sometime, the matters and cases , which are brought forth the courts , turn into the worst situation and become more complicated than before due to an inadequate and  derisory procedure, Thus, judicial procedure related to the Divorce and Khula is  an immense perceptive and a sensitive matter. Moreover, the  amendments to the Muslim Family Laws of 2001 in actual  were aimed at dealing familial cases and matters promptly, resolve  all those familial cases which women have to confront, as well as to ensure the  protection of  their rights.  Under the sub- Section 4 of section 10 of the family court Act, October,  2005,  the people have been facilitated  by reducing to bare bones the procedure of  Divorce and Khula. According to the legal connoisseurs , the divorce rate has increased after these facilitating amendments and the situation is that the courts are sharing out  the divorce degrees like sweetmeats. While sometime, under such law the grievance of the  oppressed woman  comes forth. In such familial cases,  laws as well as  the procedure of the court proceedings is also a very delicate issue in which the rate of the divorce and Khula can significantly be reduced by doing some effective  changes and reforms. However, in this research paper , the analyses of the court procedure , regarding the issues of divorce and khula would be presented on.


Author(s):  
Yan Xiong ◽  
Jiatang Cheng

Background: The generator is a mechanical device that converts other forms of energy into electrical energy. It is widely used in industrial and agricultural production and daily life. Methods: To improve the accuracy of generator fault diagnosis, a fault classification method based on the bare-bones cuckoo search (BBCS) algorithm combined with an artificial neural network is proposed. For this BBCS method, the bare-bones strategy and the modified Levy flight are combined to alleviate premature convergence. After that, the typical fault features are obtained according to the vibration signal and current signal of the generator, and a hybrid diagnosis model based on the back-propagation (BP) neural network optimized by the proposed BBCS algorithm is established. Results: Experimental results indicate that BBCS exhibits better convergence performance in terms of solution quality and convergence rate. Furthermore, the hybrid diagnosis method has higher classification accuracy and can effectively identify generator faults. Conclusion: The proposed method seems effective for generator fault diagnosis.


Author(s):  
Bogdan S. Chlebus ◽  
Dariusz R. Kowalski ◽  
Shailesh Vaya
Keyword(s):  

Algorithms ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 338
Author(s):  
Daphne Teck Ching Lai ◽  
Yuji Sato

Previously, cluster-based multi or many objective function techniques were proposed to reduce the Pareto set. Recently, researchers proposed such techniques to find better solutions in the objective space to solve engineering problems. In this work, we applied a cluster-based approach for solution selection in a multiobjective evolutionary algorithm based on decomposition with bare bones particle swarm optimization for data clustering and investigated its clustering performance. In our previous work, we found that MOEA/D with BBPSO performed the best on 10 datasets. Here, we extend this work applying a cluster-based approach tested on 13 UCI datasets. We compared with six multiobjective evolutionary clustering algorithms from the existing literature and ten from our previous work. The proposed technique was found to perform well on datasets highly overlapping clusters, such as CMC and Sonar. So far, we found only one work that used cluster-based MOEA for clustering data, the hierarchical topology multiobjective clustering algorithm. All other cluster-based MOEA found were used to solve other problems that are not data clustering problems. By clustering Pareto solutions and evaluating new candidates against the found cluster representatives, local search is introduced in the solution selection process within the objective space, which can be effective on datasets with highly overlapping clusters. This is an added layer of search control in the objective space. The results are found to be promising, prompting different areas of future research which are discussed, including the study of its effects with an increasing number of clusters as well as with other objective functions.


2021 ◽  
Author(s):  
◽  
Maureen Kortens

<p>Without metaphor there would be no legs on the table, no hands on the clock. These are dead metaphors. Even that expression is a metaphor, for how can something be dead that has never literally been born. It is an expression which cannot be taken literally. In its first use it was 'alive' in the sense of being new or witty or apt and memorable. Without metaphor we are reduced to the bare bones of language, to a kind of Orwellian Newspeak. One can hardly avoid using metaphors to explain them. Even scientists and mathematicians use metaphors but they usually refer to them as models. Metaphor is a function of language which enables us to be creative. Not only the person who coins, invents, or thinks of the new metaphor but also the listener or reader who constructs a personal meaning for him or her self. We speak of creativity in education, as a human capacity to be encouraged and developed. How creative can humans be? Do they ever really 'create' anything new apart from reproductions of themselves? Any creative activity such as painting, building or gardening is really re-organising elements already created. So humans enjoy 'creating' their own order, forms, or patterns which we call art. Language is capable of endless patterns. The basic patterns, usually known as grammar, appear to be innate and in speech and writing we use these 'inbuilt' structures to create new sentences of our own. At its highest level we call this literature. It has taken us some time to realise that a word in itself has no meaning as it is a symbol only. For those aspects of experience which are difficult to explain we turn to metaphor. Thus religions often use myths and symbols. Anthropology describes many human activities as metaphoric, for example myths or totemism. Practically every sphere of human activity is imbued with this magical quality of metaphor, for it extends our understanding of the world by giving us a kind of 'elastic' way of describing our experiences. It is not the prerogative of writers or poets but a power we all possess and one which has been derided and abused at times in our history. Only now is it increasingly being recognized as a human capacity worthy of study. In this work I delve into some aspects of the use of metaphor to show how we need to be aware of its potent, pervasive power, especially those of us involved in teaching for whom I will attempt to demonstrate that teaching is itself a metaphoric activity.</p>


2021 ◽  
Author(s):  
◽  
Maureen Kortens

<p>Without metaphor there would be no legs on the table, no hands on the clock. These are dead metaphors. Even that expression is a metaphor, for how can something be dead that has never literally been born. It is an expression which cannot be taken literally. In its first use it was 'alive' in the sense of being new or witty or apt and memorable. Without metaphor we are reduced to the bare bones of language, to a kind of Orwellian Newspeak. One can hardly avoid using metaphors to explain them. Even scientists and mathematicians use metaphors but they usually refer to them as models. Metaphor is a function of language which enables us to be creative. Not only the person who coins, invents, or thinks of the new metaphor but also the listener or reader who constructs a personal meaning for him or her self. We speak of creativity in education, as a human capacity to be encouraged and developed. How creative can humans be? Do they ever really 'create' anything new apart from reproductions of themselves? Any creative activity such as painting, building or gardening is really re-organising elements already created. So humans enjoy 'creating' their own order, forms, or patterns which we call art. Language is capable of endless patterns. The basic patterns, usually known as grammar, appear to be innate and in speech and writing we use these 'inbuilt' structures to create new sentences of our own. At its highest level we call this literature. It has taken us some time to realise that a word in itself has no meaning as it is a symbol only. For those aspects of experience which are difficult to explain we turn to metaphor. Thus religions often use myths and symbols. Anthropology describes many human activities as metaphoric, for example myths or totemism. Practically every sphere of human activity is imbued with this magical quality of metaphor, for it extends our understanding of the world by giving us a kind of 'elastic' way of describing our experiences. It is not the prerogative of writers or poets but a power we all possess and one which has been derided and abused at times in our history. Only now is it increasingly being recognized as a human capacity worthy of study. In this work I delve into some aspects of the use of metaphor to show how we need to be aware of its potent, pervasive power, especially those of us involved in teaching for whom I will attempt to demonstrate that teaching is itself a metaphoric activity.</p>


Author(s):  
Zenglin Qiao ◽  
Weifeng Shan ◽  
Nan Jiang ◽  
Ali Asghar Heidari ◽  
Huiling Chen ◽  
...  
Keyword(s):  

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