Computer Representations of Bioinformatics Models

Prejzendanc, Tomasz; Wasik, Szymon; Błażewicz, Jacek

doi:10.2174/1574893610666150928193510

Cited by 11 publications

(6 citation statements)

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“…Additionally, we agree with Jialin Ding, who stated that the main difficulty in research on recognizing chessboards and chess pieces is the lack of comprehensive labeled datasets of images containing chessboards [12]. Lack of good datasets is often a problem in other fields of computer science research [43,31]. We were able to achieve very satisfactory results when locating chessboards, largely because of the patient tuning of the methods that are utilized during our process.…”

Section: Discussionsupporting

confidence: 77%

Chessboard and Chess Piece Recognition With the Support of Neural Networks

Czyzewski

Laskowski

Wasik

2020

Foundations of Computing and Decision Sciences

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Chessboard and chess piece recognition is a computer vision problem that has not yet been efficiently solved. Digitization of a chess game state from a picture of a chessboard is a task typically performed by humans or with the aid of specialized chessboards and pieces. However, those solutions are neither easy nor convenient. To solve this problem, we propose a novel algorithm for digitizing chessboard configurations.We designed a method of chessboard recognition and pieces detection that is resistant to lighting conditions and the angle at which images are captured, and works correctly with numerous chessboard styles. Detecting the board and recognizing chess pieces are crucial steps of board state digitization.The algorithm achieves 95% accuracy (compared to 60% for the best alternative) for positioning the chessboard in an image, and almost 95% for chess pieces recognition. Furthermore, the sub-process of detecting straight lines and finding lattice points performs extraordinarily well, achieving over 99.5% accuracy (compared to the 74% for the best alternative).

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Section: Discussionsupporting

confidence: 77%

Chessboard and Chess Piece Recognition With the Support of Neural Networks

Czyzewski

Laskowski

Wasik

2020

Foundations of Computing and Decision Sciences

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“…Additionally, we presented an example use case based on the Optil.io platform, which is the first system, worldwide, providing a continuous evaluation of algorithms solving complex optimization challenges in a safe and homogenous cloud-based infrastructure. Optimization problems are problems significant from the point of view of possible applications as well as often difficult to solve problems that are formulated in a very broad range of fields from logistics (Silva et al 2008) and decision making (Blazewicz et al 2014;Blazewicz and Musial 2011;Marler and Arora 2004), through software design (Marszalkowski et al 2015), to even biology Lukasiak et al 2015;Prejzendanc et al 2016;Szostak et al 2016;Wang et al 2010;Wasik et al 2013). Despite the huge development of mathematical programming solvers and meta-heuristics that have occurred in recent years, many of these problems are still difficult to solve.…”

Section: Example Application Based On Optilio Platformmentioning

confidence: 99%

A Survey on Online Judge Systems and Their Applications

et al. 2018

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Online judges are systems designed for the reliable evaluation of algorithm source code submitted by users, which is next compiled and tested in a homogeneous environment. Online judges are becoming popular in various applications. Thus, we would like to review the state of the art for these systems. We classify them according to their principal objectives into systems supporting organization of competitive programming contests, enhancing education and recruitment processes, facilitating the solving of data mining challenges, online compilers and development platforms integrated as components of other custom systems. Moreover, we introduce a formal definition of an online judge system and summarize the common evaluation methodology supported by such systems. Finally, we briefly discuss an Optil.io platform as an example of an online judge system, which has been proposed for the solving of complex optimization problems. We also analyze the competition results conducted using this platform. The competition proved that online judge systems, strengthened by crowdsourcing concepts, can be successfully applied to accurately and efficiently solve complex industrial- and science-driven challenges.Comment: Authors pre-print of the article accepted for publication in ACM Computing Surveys (accepted on 19-Sep-2017

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“…Simple decision-aid simulation tool could be another interesting research point. Moreover, it could be beneficial to use biology inspired approaches, models [26] and computations [28,2] to tackle the problem. Furthermore, both OP ay and v functions could be personalized to the user.…”

Section: J Musiał M C Lopez-locesmentioning

confidence: 99%

Trustworthy Online Shopping with Price Impact

Musiał

López-Locés

2017

Foundations of Computing and Decision Sciences

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Abstract. Internet shopping is one of the main pillars of electronic commerce. According to the literature, the Internet Shopping Optimization Problem (ISOP) has been defined in order to optimize the global cost of online purchase, taking into account both the cost of products and shipping. In this study, it was decided to propose and analyze a very interesting, and really substantial, extension of the ISOP. Namely, trust factors were subjected to careful analysis from the customer point of view. The analysis is based on a specially prepared questionnaire, supplemented by the information from the literature and our own observations. Thus, it was possible to propose a definition of a new mathematical model of the problem, and to prove its affiliation to the class of strongly NP-hard problems. In addition, the heuristic algorithm is proposed, which can be used to solve the problem.

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Computer Representations of Bioinformatics Models

Cited by 11 publications

References 0 publications

Chessboard and Chess Piece Recognition With the Support of Neural Networks

Chessboard and Chess Piece Recognition With the Support of Neural Networks

A Survey on Online Judge Systems and Their Applications

Trustworthy Online Shopping with Price Impact

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