Abstract This paper suggests and develops a technique for a system, which automates instructors’ scheduling of timetables to enable them to save time and effort by minimising errors and costs. Automating repetitive manual procedures provides value to instituting timetable processes by providing reliable tables that can be free from mistakes. The growth of automation systems has been significantly increasing for organisations... This paper suggests and develops a technique for a system, which automates instructors’ scheduling of timetables to enable them to save time and effort by minimising errors and costs. Automating repetitive manual procedures provides value to instituting timetable processes by providing reliable tables that can be free from mistakes. The growth of automation systems has been significantly increasing for organisations and their customers. As a matter of consequence, the popularity of automation systems is ongoing, and these systems play a critical role as their compromise has a technical impact and the need for them continues to increase. The complexity of setting automation systems continues to grow as the system architecture and applications must fulfill various requirements of ever demanding project scenarios. The automation system refers to the use of machines, devices, control systems and information technologies to increase and optimise productivity in the production of a system and the delivery of services. The correct incentive for applying automation is raising productivity and quality. Read More Read Less

Abstract Biological research literature, as in many other domains of human activity, is a rich source of knowledge. MEDLINE is a huge database of biomedical information and life sciences, it provides information in the form of abstracts and documents. However, extracting this information leads to various problems, related to the types of information such as recognition of all terms related to... Biological research literature, as in many other domains of human activity, is a rich source of knowledge. MEDLINE is a huge database of biomedical information and life sciences, it provides information in the form of abstracts and documents. However, extracting this information leads to various problems, related to the types of information such as recognition of all terms related to the domain of texts, concepts associated with them, as well as identifying the types of relationships. In this context, we suggest in this paper an approach to extract disease-drug relations: in a first step, we employ Natural Language Processing techniques for the abstracts’ preprocessing. In a second step we extract a set of features from the preprocessed abstracts. Finally we extract a disease-drug relation using machine learning classifier. Read More Read Less

Abstract Currently available email standards provide protection of email letters using standard cryptographic techniques and formats like PGP, S/MIME. All these standards focus on the protection of email contents rather than the header of email. Clear transmission of headers is the source of privacy leakage and most of social security engineers have very serious concerns about this. They argue that the... Currently available email standards provide protection of email letters using standard cryptographic techniques and formats like PGP, S/MIME. All these standards focus on the protection of email contents rather than the header of email. Clear transmission of headers is the source of privacy leakage and most of social security engineers have very serious concerns about this. They argue that the intruders can easily establish the link between the sender and receiver after intercepting their emails. Furthermore, if someone can extract our email addresses then he/she can send spam messages which are the main cause of information flooding and garbage in the inboxes. All these attacks lead to vivid threat to the user’s privacy. This paper describes the design and implementation of an email SAAS with augmented privacy and security which provides solution to ensure the privacy of its users. A completely different approach is taken to provide protection to user’s identity information and sensitive data using infrastructure level services for managing and exchanging anonymous identities. Furthermore, the solution is compatible with existing system; so any sort of change in the current system is not required. Read More Read Less

Abstract This paper presents a study on the disambiguated named entities and normalization in textual as well as in social context. Their mutual enforcement is also discussed that how effective they are for each other when used together. Recent approaches presented for NERD in short context especially in tweets are discussed. The knowledge of named entity recognition is utilized in our... This paper presents a study on the disambiguated named entities and normalization in textual as well as in social context. Their mutual enforcement is also discussed that how effective they are for each other when used together. Recent approaches presented for NERD in short context especially in tweets are discussed. The knowledge of named entity recognition is utilized in our underdeveloped work of multi-document summarization. We assessed that Yago knowledgebased Aida service for NERD is far better so far by considering a number of reasons. Some preliminary results of our summarizer are also presented that shows the effectiveness of using named entities in text summarization. Read More Read Less