Boosting Algorithm and Meta-Heuristic Based on Genetic Algorithms for Textual Plagiarism Detection

2015 ◽  
Vol 9 (4) ◽  
pp. 65-87 ◽  
Author(s):  
Hadj Ahmed Bouarara ◽  
Reda Mohamed Hamou ◽  
Amine Rahmani ◽  
Abdelmalek Amine
Keyword(s):  
Learning Algorithm ◽  
Fitness Function ◽  
Modern World ◽  
Initial Population ◽  
Plagiarism Detection ◽  
Detection Systems ◽  
Global View ◽  
Boosting Algorithm ◽  
Crossover And Mutation

Day after day, the plagiarism cases increase and become a crucial problem in the modern world, caused by the quantity of textual information available in the web and the development of communication means such as email service. This paper deals on the unveiling of two plagiarism detection systems: Firstly boosting system based on machine learning algorithm (decision tree C4.5 and K nearest neighbour) composed on three steps (text pre-processing, first detection, and second detection). Secondly using genetic algorithm based on an initial population generated from the dataset used a fitness function fixed and the reproduction rules (selection, crossover, and mutation). For their experimentation, the authors have used the benchmark pan 09 and a set of validation measures (precision, recall, f-measure, FNR, FPR, and entropy) with a variation in configuration of each system; They have compared their results with the performance of other approaches found in literature; Finally, the visualisation service was developed that provides a graphical vision of the results using two methods (3D cub and a cobweb) with the possibility to have a detailed and global view using the functionality of zooming and rotation. The authors' aims are to improve the quality of plagiarism detection systems and preservation of copyright.

Boosting Algorithm and Meta-Heuristic Based on Genetic Algorithms for Textual Plagiarism Detection

2019 ◽  
pp. 419-441
Author(s):  
Hadj Ahmed Bouarara ◽  
Reda Mohamed Hamou ◽  
Amine Rahmani ◽  
Abdelmalek Amine
Keyword(s):  
Learning Algorithm ◽  
Fitness Function ◽  
Modern World ◽  
Initial Population ◽  
Plagiarism Detection ◽  
Detection Systems ◽  
Boosting Algorithm ◽  
Crossover And Mutation ◽  
F Measure

Day after day, the plagiarism cases increase and become a crucial problem in the modern world, caused by the quantity of textual information available in the web and the development of communication means such as email service. This paper deals on the unveiling of two plagiarism detection systems: Firstly boosting system based on machine learning algorithm (decision tree C4.5 and K nearest neighbour) composed on three steps (text pre-processing, first detection, and second detection). Secondly using genetic algorithm based on an initial population generated from the dataset used a fitness function fixed and the reproduction rules (selection, crossover, and mutation). For their experimentation, the authors have used the benchmark pan 09 and a set of validation measures (precision, recall, f-measure, FNR, FPR, and entropy) with a variation in configuration of each system; They have compared their results with the performance of other approaches found in literature; Finally, the visualisation service was developed that provides a graphical vision of the results using two methods (3D cub and a cobweb) with the possibility to have a detailed and global view using the functionality of zooming and rotation. The authors' aims are to improve the quality of plagiarism detection systems and preservation of copyright.

Assembly Sequence Generation and Optimization for Compliant Assemblies Based on Genetic Algorithm

2011 ◽  
Vol 230-232 ◽  
pp. 978-981
Author(s):  
Yan Feng Xing ◽  
Yan Song Wang ◽  
Xiao Yu Zhao
Keyword(s):  
Genetic Algorithm ◽  
Fitness Function ◽  
Initial Population ◽  
Assembly Sequence ◽  
Constraint Function ◽  
Assembly Modeling ◽  
Sequence Generation ◽  
Assembly Sequences ◽  
Assembly Sequence Generation ◽  
Crossover And Mutation

This paper proposes a genetic algorithm to generate and optimize assembly sequences for compliant assemblies. An assembly modeling is presented to describe the geometry of the assembly, which includes three sets of parts, relationships and joints among the parts. Based on the assembly modeling, an assembly sequence is denoted as an individual, which is assigned an evaluation function that consists of the fitness and constraint functions. The fitness function is used to evaluate feasible sequences; in addition, the constraint function is employed to evolve unfeasible sequences. The genetic algorithm starts with a randomly initial population of chromosomes, evolves new populations by using reproduction, crossover and mutation operations, and terminates until acceptable sequences output. Finally an auto-body side assembly is used to illustrate the algorithm of assembly sequence generation and optimization.

A New Flatness Evaluation-Rotation Method Based on GA

2010 ◽  
Vol 139-141 ◽  
pp. 2033-2037 ◽  
Author(s):  
Yan Ming Jiang ◽  
Gui Xiong Liu
Keyword(s):  
Genetic Algorithm ◽  
Fitness Function ◽  
Three Dimensions ◽  
Local Optimum ◽  
Mutation Probability ◽  
Projection Length ◽  
Rotation Method ◽  
Minimum Zone ◽  
Crossover And Mutation

Flatness is one fundamental element of geometric forms, and the flatness evaluation is particularly important for ensuring the quality of industrial products. This paper presents a new flatness evaluation in the view of the minimum zone evaluation - rotation method based on genetic algorithm. This method determines the minimum zone through rotating measurement points in three dimensions coordinate. The points are firstly rotated about coordinate axes. Then they are projected in one axis, and the smallest projection length is the flatness value. The rotation angles are optimized by genetic algorithm to improve search efficiency. An exponential fitness function and the rotation angles range is designed on the basis of flatness characteristics. An adaptive mode of crossover and mutation probability is used to avoid local optimum. The results show this method can search the minimum zone and converge rapidly.

Using ICTs to Check Plagiarism in PhD Research Works in Nigeria

2019 ◽  
pp. 24-45
Author(s):  
Floribert Patrick C. Endong
Keyword(s):  
Computer Assisted ◽  
Plagiarism Detection ◽  
Secondary Sources ◽  
Detection Systems ◽  
Student Plagiarism ◽  
Conceptual Definition ◽  
Multiple Challenges ◽  
Definition Of

The proliferation of plagiarism in African universities has rationalized the adoption of various strategies to mitigate or eradicate it. In Nigeria particularly, computer-assisted approaches such as the Turnitin software have been appropriated to tackle this challenge. Many Nigerian universities have adopted Turnitin to ameliorate the quality of PhD research produced in their faculties. Although lauded in many quarters, this recourse to ICTs to check plagiarism has seen multiple challenges, some of which include poor anti-plagiarism policies, fallible anti-plagiarism software, and the Nigerian factor, among others. Using observations and secondary sources, this chapter critically explores these challenges. The chapter provides a conceptual definition of plagiarism and plagiarism detection systems; it shows how plagiarism is affecting PhD research in Nigerian universities and explores the place of ICTs in anti-plagiarism policies adopted by Nigerian universities. The chapter ends by examining the prospects and challenges of using ICTs to mitigate PhD student plagiarism in Nigeria.

scholarly journals Functional Cereal Products in the Diet for Type 2 Diabetes Patients

2019 ◽  
Vol 2019 ◽  
pp. 1-7
Author(s):  
Ada Krawęcka ◽  
Aldona Sobota ◽  
Emilia Sykut-Domańska
Keyword(s):  
Type 2 Diabetes ◽  
Nutritional Value ◽  
Glycaemic Index ◽  
Modern World ◽  
Diabetic Patients ◽  
Therapeutic Effects ◽  
Major Health ◽  
Cereal Products

Type 2 diabetes has become one of the major health problems of the modern world. It is assumed that environmental factors have a significant impact on the development of the disease, and great importance is ascribed to the diet, which can be modified accordingly. The diet can exert prophylactic and therapeutic effects; changes in the diet in advanced disease can improve the quality of life of diabetic patients and minimise the risk of complications, which are the direct cause of diabetes-related death. Functional food, which has a potentially health-enhancing effect in addition to its nutritional value, has been increasingly recognised and required. Cereal products are crucial in diabetic nutrition. Their function can additionally be enhanced by fortification with compounds with proven hypoglycaemic effects. Pasta has a low glycaemic index and is a good carrier of fortifying substances; hence, it can be highly recommended in diets for diabetic patients.

scholarly journals How to Cope with Big Data in Functional Analysis of the Esophagus

2020 ◽  
Vol 36 (6) ◽  
pp. 439-442
Author(s):  
Alissa Jell ◽  
Christina Kuttler ◽  
Daniel Ostler ◽  
Norbert Hüser
Keyword(s):  
Esophageal Motility ◽  
Learning Algorithm ◽  
Supervised Machine Learning ◽  
Esophageal Motility Disorders ◽  
Motility Disorders ◽  
High Resolution Manometry ◽  
Evaluation Time ◽  
Core Evaluation

<b><i>Introduction:</i></b> Esophageal motility disorders have a severe impact on patients’ quality of life. While high-resolution manometry (HRM) is the gold standard in the diagnosis of esophageal motility disorders, intermittently occurring muscular deficiencies often remain undiscovered if they do not lead to an intense level of discomfort or cause suffering in patients. Ambulatory long-term HRM allows us to study the circadian (dys)function of the esophagus in a unique way. With the prolonged examination period of 24 h, however, there is an immense increase in data which requires personnel and time for evaluation not available in clinical routine. Artificial intelligence (AI) might contribute here by performing an autonomous analysis. <b><i>Methods:</i></b> On the basis of 40 previously performed and manually tagged long-term HRM in patients with suspected temporary esophageal motility disorders, we implemented a supervised machine learning algorithm for automated swallow detection and classification. <b><i>Results:</i></b> For a set of 24 h of long-term HRM by means of this algorithm, the evaluation time could be reduced from 3 days to a core evaluation time of 11 min for automated swallow detection and clustering plus an additional 10–20 min of evaluation time, depending on the complexity and diversity of motility disorders in the examined patient. In 12.5% of patients with suggested esophageal motility disorders, AI-enabled long-term HRM was able to reveal new and relevant findings for subsequent therapy. <b><i>Conclusion:</i></b> This new approach paves the way to the clinical use of long-term HRM in patients with temporary esophageal motility disorders and might serve as an ideal and clinically relevant application of AI.

scholarly journals “There must be Someone’s Name Under Every Bit of Text, Even if it is Unimportant or Incorrect”: Plagiarism as a Learning Strategy

2021 ◽  
Author(s):  
Beata Bielska ◽  
Mateusz Rutkowski
Keyword(s):  
Higher Education ◽  
Detection Rate ◽  
Learning Strategy ◽  
Plagiarism Detection ◽  
International Context ◽  
Detection Systems ◽  
Uniform Definition ◽  
Definition Of ◽  
Difficult Situations ◽  
Source Of Information

AbstractThe article offers analyses of the phenomenon of copying (plagiarism) in higher education. The analyses were based on a quantitative survey using questionnaires, conducted in 2019 at one of the Polish universities. Plagiarism is discussed here both as an element of the learning process and a subject of public practices. The article presents students’ definitions of plagiarism, their strategies for unclear or difficult situations, their experiences with plagiarism and their opinions on how serious and widespread this phenomenon is. Focusing on the non-plagiarism norm, that is the rule that students are not allowed to plagiarize, and in order to redefine it we have determined two strategies adopted by students. The first is withdrawing in fear of making a mistake (omitting the norm), which means not using referencing in unclear situations, e.g. when the data about the source of information are absent. The second is reducing the scope of the norm applicability (limiting the norm), characterized by the fact that there are areas where the non-plagiarism norm must be observed more closely and those where it is not so important, e.g. respondents classify works as credit-level and diploma-level texts, as in the credit-level work they “can” sometimes plagiarize since the detection rate is poor and consequences are not severe. The presented results are particularly significant for interpreting plagiarism in an international context (no uniform definition of plagiarism) and for policies aimed at limiting the scale of the phenomenon (plagiarism detection systems1).

Existential/spiritual resources and the subjective quality of life experiences among elderly adults

2015 ◽  
Vol 13 (4) ◽  
pp. 123-168 ◽  
Author(s):  
Magdalena Kapała
Keyword(s):  
Quality Of Life ◽  
The Elderly ◽  
Subjective Quality ◽  
Modern World ◽  
Life Questionnaire ◽  
Elderly Adults ◽  
Subjective Quality Of Life ◽  
Spiritual Resources ◽  
Two Phases

AbstractMy paper presents the results of a research study on the relationship between existential/spiritual resources, that is, spiritual sensitivity (a disposition to experience spirituality, manifested in the embracement of the nature of things in the transcendent and final perspective, in moral sensitivity, and the ability to find meaning in paradoxical and limiting situations), spiritual sensitivity components and subjective quality of life (a generalized attitude to one’s own life mode, in the four existential dimensions: psychophysical, psycho-social, subjective, and metaphysical). Study subjects were older adults (60+, n = 522) living in the current, dynamic, uncertain and fluid modern world conditions. The study had two phases – quantitative and qualitative (narrative interviews). To measure the phenomena, the Spiritual Sensitivity Inventory (Straś-Romanowska, Kowal, & Kapała, 2013) and the Quality of Life Questionnaire (Straś-Romanowska, Oleszkowicz, & Frąckowiak, 2004) were used. The results obtained confirmed a strong mutual relationship between spiritual resources and quality of life, also providing an answer to some questions about the nature of spiritual sensitivity, and its integrating, pro-development and pro-health role in the elderly adults’ life in the post-modern era.

An Efficient Watermarking Based Matrix Manipulation and Optimization Based Cryptographic Method for Privacy Preservation in Biomedical Data

2021 ◽  
Vol 11 (12) ◽  
pp. 2928-2936
Author(s):  
S. Vairaprakash ◽  
A. Shenbagavalli ◽  
S. Rajagopal
Keyword(s):  
Privacy Preservation ◽  
Fitness Function ◽  
Health Care Systems ◽  
Automatic Device ◽  
Expert Advice ◽  
Modern World ◽  
Biomedical Data ◽  
Patient Privacy ◽  
Secret Key ◽  
Biomedical Images

The biomedical processing of images is an important aspect of the modern medicine field and has an immense influence on the modern world. Automatic device assisted systems are immensely useful in order to diagnose biomedical images easily, accurately and effectively. Remote health care systems allow medical professionals and patients to work from different locations. In addition, expert advice on a patient can be received within a prescribed period of time from a specialist in a foreign country or in a remote area. Digital biomedical images must be transmitted over the network in remote healthcare systems. But the delivery of the biomedical goods entails many security challenges. Patient privacy must be protected by ensuring that images are secure from unwanted access. Furthermore, it must be effectively maintained so that nothing will affect the content of biomedical images. In certain instances, data manipulation can yield dramatic effects. A biomedical image safety method was suggested in this work. The suggested method will initially be used to construct a binary pixel encoding matrix and then to adjust matrix with the use of decimation mutation DNA watermarking principle. Afterwards to defend the sub keys couple privacy which was considered over the logical uplift utilization of tent maps and purpose. As acknowledged by chaotic (C-function) development, the security was investigated similar to transmission in addition to uncertainty. Depending on the preliminary circumstances, various numbers of random were generated intended for every map as of chaotic maps. An algorithm of Multi scale grasshopper optimization resource with correlation coefficient fitness function and PSNR was projected for choosing the optimal public key and secret key of system over random numbers. For choosing the validation process of optimization is to formulate novel model more relative stable to the conventional approach. In conclusion, the considered suggested findings were contrasted with current approaches protection that was appear to be successful extremely.

HYBRID VERSION OF UKRAINE TRANSITION FROM PERIPHERY OF WORLD-ECONOMY TO SEMI-PERIPHERY

2020 ◽  
Keyword(s):  
United States ◽  
Regional Integration ◽  
World Economy ◽  
The United States ◽  
Modern World ◽  
Considerable Time ◽  
Protracted Conflict ◽  
The Russian Federation ◽  
The Eu

The article examines the transition of Ukraine from the periphery of the modern world-economy to the semi-periphery. Several global variants of such a transition have been analysed and a hybrid version has been proposed. Based on the analysis of Ukrainian export-import operations, the conclusion of our previous work of Ukraine being one of the periphery states has been confirmed. According to the global practice, for such states, there are two options for the transition to the semi-periphery. The first of them is the implementation of such systemic reforms that will allow for a considerable time to redistribute profits from international operations in their favour. This option is implemented in two forms. The first is authoritarian modernization (examples – Singapore, China). The second is reforms carried out with the broad support of the countries of the centre (an example is the European and Euro-Atlantic integration of the Central Europe countries). The second option is cooperation with the hegemonic state (USA) in the field of security and maintenance of order, for which such a state receives various support and access to the American sales market (examples - South Korea, Japan and the FRG, partly Turkey and Chile). It was concluded that the above options are unacceptable in a difficult Ukrainian case (chronic under-reforming, low quality of the Ukrainian elite, internal problems in the EU and the United States, a protracted conflict with the Russian Federation, etc.), thus there is a need for such an option that would combine the elements of all of the above – that is, a hybrid one. The proposed option assumes, firstly, the introduction of qualitatively new representatives into the Ukrainian elite, capable for systemic reforms, secondly, the continuation of European integration efforts, thirdly, strengthening cooperation with the United States in the security sphere, and fourthly, the activation of regional integration projects (primarily with Turkey and Poland). If efforts in one of the designated areas fail, then resources can be redirected to activate others without wasting precious time. As a conclusion, it was stated that the proposed hybrid version of Ukraine’s transition from the periphery to the semi-periphery looks like the only realistic way for Ukraine.

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