Sherlock Algorithm

Plagiarism is not allowed in the research journal. Therefore the similarity of research journal must be checked. Similarity is usually checked manually, so it needs long time for verification. The purpose of this research is to create a software for detecting similarity of research journal. Journal plagiarism detection software created in this research is done by implementing sherlock algorithm. Sherlock algorithm can detect document similarity by comparing similarity of each sentence inside a document with each other sentence in other documents. Sentence similarity detection is based on the same shared keyword between compared sentences. Result of test concluded that this software can detect similarity of research journal.

Collaborative software development experience in recent years proves that the management of large sets of requirements has become a critical issue. Among the main problems of requirements engineering, the detection and management of duplicated requirements is highlighted. If ignored, these redundancies may lead to the duplicity of tasks, which is a hazardous issue from a project management perspective. Moreover, the automation of this process and the standardized use of accurate, open-source tools are still at a state-of-the-art stage. Based on this scenario, we introduce RESim a software development proposal which integrates different techniques for the detection of duplicated requirements in an adaptive, scalable tool. RESim solution is based on a twofold objective approach: first, to deliver an easy-to-use, practical tool for duplicated requirements detection for requirements engineers; second, to provide an evaluation framework of different similarity detection algorithms for re...

Plagiarism is not allowed in the research journal. Therefore the similarity of research journal must be checked. Similarity is usually checked manually, so it needs long time for verification. The purpose of this research is to create a software for detecting similarity of research journal. Journal plagiarism detection software created in this research is done by implementing sherlock algorithm. Sherlock algorithm can detect document similarity by comparing similarity of each sentence inside a document with each other sentence in other documents. Sentence similarity detection is based on the same shared keyword between compared sentences. Result of test concluded that this software can detect similarity of research journal.

In education, students attempt to copy previous works and are relying on prepared solutions available on the Internet in order to meet their requirements. This action leads to plagiarism, which is becoming part of educational institutions’ concern to reduce growing academic dishonesty. With regards to the aforementioned issue, this study aims to design and develop a plagiarism checker capable of registering documents, granting access to users, and calculating the similarity between documents. Thus, the software was constructed using HTML, PHP, JavaScript, CSS, and MySQL. The developed system is composed of three main modules; the Document Search which enables users to browse documents, the Document Registration which enables the administrator to add and manage the stored documents, and the document Comparison, which serves as the system plagiarism detection mechanism. The algorithm Normalized Compression Distance was used to measure similarity and the Boyer-Moore Algorithm to highli...

Detecting instances of plagiarism in student homework , with program code in particular, is a subject of active research for over 30 years. One of the early proposed methods was extraction and comparison of source-code metrics. Even though this approach has low algorithmic complexity, it is rarely used in recent papers with some authors claiming that better results are obtained using other methods. In this paper, plagiarism detection is treated as an information retrieval problem, specifically query-by-example (QbE). A feature vector is constructed from source metrics and compared using common similarity measures. Further, evolutionary computation methods are used to optimize the similarity measure. It is shown that, by several metrics used, detection results are on par with state-of-the-art methods with significantly lower execution time.

Uma das capacidades que mais chama atenção no Visual Basic, mas que por outro lado é uma das menos explorada pelos programadores que o utilizam, é a capacidade de criar componentes de código reutilizáveis para a automatização de tarefas simples (que as vezes nos tomam muito tempo, por mais simples que sejam). Se você parar pensar, com certeza vai lembra-se de ter deparado com situações em que um código semelhante (ou até mesmo igual) foi escrito para outra aplicação, e aí começa a aventura de desvendar linhas e mais de código em busca da rotina perdida. Quando se inicia um novo projeto, em sua maioria os programadores vão logo ao ponto que interessa e começam seus projetos Standard Exe, sem ver o que mais o Visual Basic pode oferecer para ajudar à melhorar seus programas (em todos os sentidos). O objetivo deste artigo é demonstrar à você, como a familiarização com os Usercontrols (ou ActiveX Controls), pode ajudá-lo à poupar tempo e economizar esforços para a reavaliação de componentes. Para exemplificar toda esta teoria usaremos um exemplo bem brasileiro para que você compreenda o quanto é fácil criar um Usercontrol e mais fácil é gerenciá-lo à sua maneira. Capítulo 1-Conceitos de um Usercontrol Capítulo 2-Criando e testando um Usercontrol Capítulo 3-Segredos do VB Capítulo 1 Primeiramente vamos explicar, um Usercontrol é o primeiro estágio de um controle Activex (quando compilado ele torna-se um arquivo .ocx). Mas o que é um controle Activex ?-Controles Activex são objetos programados que podem ser inseridos em seu programa para executar tarefas comuns (sejam elas de interface ou de automação), por um exemplo um textbox é um Activex padrão do Visual Basic (msvbvm60.dll), já controles como o Microsoft Common Dialog são objetos ActiveX que você insere em seu projeto para ganhar novos recursos de automação. Um Usercontrol possui basicamente as seguintes hierarquias: · Propriedades · Eventos · Rotinas (públicas e privadas) Propriedades São elas que interagem com o objeto Usercontrol em todos os sentidos, recebendo e alterando valores de propriedades, é possível se alterar o objeto Usercontrol e seus métodos. Uma propriedade é formada pelos métodos Get (pegar), Set (setar), Let (Ler), sendo que o método Set é usado quando a propriedade for uma font, picture ou object.Exemplo: text1.text = "hello word!" Label1.caption = "hello people !" Neste exemplo, as propriedades Text de um controle TextBox e Caption de um Label foram alterados, o Usercontrol ao receber a troca de valores da propriedade se desenha novamente (usercontrol_paint) e reexibe-se para o usuário do programa. Eventos Os eventos são disparados sempre que uma determinada ação (pública ou privada) ocorre. Mas para isto o programador deve dispará-la manualmente para que o Usercontrol execute o evento (raiseevent) código contido em seu evento.Exemplo: Private Sub Text1_Change() Debug.print "O texto de text1 foi mudado para " & text1.text End Sub Neste exemplo, o evento change foi disparado, mas quem executa o evento Change é na verdade um conjunto de eventos (KeyPress, KeyDown e KeyUP (que são públicos)) mas executam privadamente o código RaiseEvent Change (que dispara juntamente o evento change). Rotinas As rotinas (Subs ou Functions) que processam suas informações são criadas por você da mesma maneira que são criadas

Article discusses about the information use pattern of researchers, the difference between search engine technology and library information retrieval systems.  It discusses about the nature of information resources use of librarian and researcher. Besides this, federated search and web scale discovery technology presented here diagrammatically for proper understanding. Scientific research scenario in India, research publication and their use in different universities, publication status and h-index of 50 best universities of India and highlighted about the publication of 25 universities of India during 2001-2010. It also discusses about what is plagiarism, why students plagiarized, where plagiarism occurred much more, how plagiarism done, types of plagiarism, plagiarism detection procedure, software for plagiarism detection, why we use turnitin software, penalties for plagiarism, some examples of plagiarism, percentage for considering plagiarism, how we can avoid plagiarism and last but not the least the role of publishers towards plagiarism control.   
আলোচ্য প্রবন্ধে গবেষকদের তথ্য ব্যবহারের প্রকৃতি, বিভিন্ন সার্চ ইঞ্জিন প্রযুক্তির সঙ্গে গ্রন্থাগার তথ্যোদ্ধার ব্যবস্থার পার্থক্য সম্পর্কে আলোকপাত করা হয়েছে। গ্রন্থাগারিক ও গবেষকদের তথ্যসম্পদ ব্যবহারের প্রকৃতি সম্পর্কে আলোচনা করা হয়েছে। এছাড়া সংযুক্ত অনুসন্ধান (ফেডারেটেড সার্চ) ও ওয়েব ভিত্তিক আবিষ্কার (ওয়েব স্কেল ডিসকভারি) চিত্রের সাহায্যে বোঝানোর চেষ্টা করা হয়েছে। ভারতে বিজ্ঞান বিষয়ক গবেষণার গতিপ্রকৃতি, ভারতের বিভিন্ন বিশ্ববিদ্যালয়ের প্রবন্ধ প্রকাশনা ও তার ব্যবহার, ৫০টি সর্বোত্তম বিশ্ববিদ্যালয়ের প্রকাশনা ও এইচ ইন্ডেক্স, ২৫টি বিশ্ববিদ্যালয়ের ২০০১-২০১০ পর্যন্ত প্রকাশনা সম্পর্কে আলোচনা করা হয়েছে। প্রবন্ধটিতে লেখাচুরি কি, ছাত্রছাত্রীরা কেন লেখাচুরি করে, কোথায় বেশিমাত্রায় লেখাচুরি হয়, কিভাবে লেখাচুরি হয়, লেখাচুরির ধরণ, লেখাচুরি সনাক্তকরণের উপায়, সনাক্তকরণ সফটওয়্যার, টার্নিটিন সফটওয়্যার ব্যবহারের কারণ, লেখাচুরির শাস্তি, লেখাচুরির কতিপয় উদাহরণ, লেখাচুরি গণ্য করার শতাংশ, লেখাচুরি কিভাবে এড়ানো যায় এবং লেখাচুরি নিয়ন্ত্রণে প্রকাশকদের ভূমিকা সম্পর্কে আলোকপাত করা হয়েছে।