No abstract

The Mumbai Suburban Railway serves up to 7.5 million commuters every day. It is a challenging task to provide a convenient and smooth ticketing experience to the commuters. The Mumbai Suburban railway uses the Proof-of-Payment fare collection system. Commuters have to stand in long queues to purchase a ticket. This causes inconvenience to the commuters. Many a times, to avoid such long queues and save time or if passengers are running late, they opt for going ticketless. The ticket checkers also have to manually check the commuters' ticket which requires them to manually analyze every ticket for validation. To serve so many people there was a need to have an alternate option other than manual purchasing. Therefore, an app called UTSOnMobile was released for online ticket booking. However, the app proved to be inconvenient to the commuters and was criticized due to the tedious payment process, and other limitations like tedious registration process, inability to book tickets at the platform and outside the predetermined range, inability to download eticket offline etc.Thus, to provide an agile and smooth ticketing experience to the commuters as well as to overcome the limitations of the existing app, a mobile application is proposed in this paper which will have an easy registration following which the users can book tickets from anywhere and can be linked to a free payment gateway like Paytm instead of using the concept of a RWallet. The ticket will be in the form of a QR code containing the details of the journey. This ticket can be downloaded offline. The ticket checker can easily check the validity of a ticket by scanning the QR code using just a mobile phone with a scanning application. This will thus provide an easier and better experience to both, the commuters as well as the railway authorities. The proposal in this paper will show how this system can be executed and will benefit everyone with the help of the research and survey.

Social networking is a very popular communication tool where opinions are shared by millions of users thereby generating tremendous data every day. Adjectives in this data represent emotions such as good, amazing etc. for positive nature and poor, bad, inferior for negative nature. Also emoticons such as  for happy feeling and  for sad feeling etc are used which are necessary to be treated along with adjectives to know blogger"s expression. Opinion mining is generally performed by matching words to a dictionary or a corpus that contains static set of words. However if the user uses new words which are not present in the existing dictionary, those words may be neglected. To overcome this shortcoming, this paper proposes a novel algorithm concerned with auto addition of new words at runtime thus making the dictionary dynamic. The algorithm not only gives ratings for adjectives but also for emoticons. The polarity of these newly added words will be defined by considering the polarity of its neighboring words. The analysis shows that novel algorithm gives more accurate ratings than the previous findings. These accurate ratings can help users to choose the products wisely before buying thereby benefiting the vendor as well as users.

Though IT industry is rapidly growing with the use of recent technologies, IT assets management is semi-automated and unmanaged. Lots of research is carried on and existing asset management software have become intelligent by integrating it with AI(artificial intelligence) but as manual operation is required to manage the system it leads to poor efficiency and security for small and medium enterprise. It can be solved using self-management. IoT provides solution by enabling the design and development of Systems that can adapt themselves to meet the requirements without manual intervention. Internet of Things is the scenario where billions of devices and objects are being embedded with sensors and chips. As these devices gain the ability to communicate using the IoT, the resulting information networks deliver an exponential increase in insight about customer behavior. Organizations can use this insight to create new operating and business models, improve business processes and reduce costs, strengthen security and manage risk, and manage the change that comes with a dynamic environment. When you capitalize upon the insight-rich data that is generated by the Internet of Things, you can address customer service in a manner that has not been possible before and hence is transformative.