A Survey on Different Approaches to Automating the Design Phase in the Software Development Life Cycle

Software design is a basic plan of all elements in the software, how they relate to each other in such a way that they meet the user requirements. In software development process, software design phase is an important phase as it gives a plan of what to do and how to do it during the implementation phase. As the technology is evolving and people's needs in the technological field are increasing, the development of software is becoming more complex. To make the development process somewhat easy, it is always better to have a plan which is followed throughout the process. In this way, many problems can be solved in the design phase, for which a number of tools and techniques are present. One is known as Design Patterns. In software engineering, a design pattern is a general solution to commonly occurring problems in software design. A design pattern isn't a finished design that can be transformed directly into code.

Interactional Resource Adoption

Technology is helpful not only in increasing the standard of living but also increasing life expectancy of a human. In a developing country like India, healthcare resources show skewed distribution. This unevenly distributed resources are a reason for healthcare service divide in India. When ICT (Information and Communication Technology) resources are connected and integrated with non – ICT human resources, interactional resources are generated. This study theoretically proposes to fill the gap between healthcare services by using the interactional resources. The study uses the theory building approach with case studies to propose a theoretical model.

Espousal of Industry 4.0 in Indian Manufacturing Organizations

A formal industrialization commenced with steam power generation and the application of machines that mechanized the industrial work in past. Subsequently, the development in electric power, the assembly lines, and mass manufacturing led toward the third era of numeric control and automation. Now in modern era of industry 4.0, robots connected with the computers and machines. Tools are working on machines learning algorithms and running the cyber physical manufacturing systems. Sensing the need of hour, Indian manufacturing organizations are working hard to implement the practices of Industry 4.0. Working on identical direction, the author has identified 12 enablers poignant the espousal of Industry 4.0 in Indian manufacturing sectors from literature review and by opinion of experts. Further, the author has used Decision Making Trial and Evaluation Laboratory (DEMATEL) technique for developing the structural and circumstantial kinship among the enablers of Industry 4.0.

Advances in Computational Linguistics and Text Processing Frameworks

The chapter provides an eloquent account of the major methodologies and advances in the field of Natural Language Processing. The most popular models that have been used over time for the task of Natural Language Processing have been discussed along with their applications in their specific tasks. The chapter begins with the fundamental concepts of regex and tokenization. It provides an insight to text preprocessing and its methodologies such as Stemming and Lemmatization, Stop Word Removal, followed by Part-of-Speech tagging and Named Entity Recognition. Further, this chapter elaborates the concept of Word Embedding, its various types, and some common frameworks such as word2vec, GloVe, and fastText. A brief description of classification algorithms used in Natural Language Processing is provided next, followed by Neural Networks and its advanced forms such as Recursive Neural Networks and Seq2seq models that are used in Computational Linguistics. A brief description of chatbots and Memory Networks concludes the chapter.

Robust Output Only Health Monitoring of Steel Railway Bridges

This chapter extends application of a framework proposed by the authors (73, 74) for automated damage detection using strain measurements to study feasibility of using sensors that can measure accelerations, tilts, and displacements. The study utilized three-dimensional (3D) finite element models of double track, riveted, steel truss span, and girder bridge span under routine train loads. The chapter also includes three instrumentation schemes for each bridge span (65) to investigate the applicability of the framework to other bridge systems and sensor networks. Connection damage was simulated by reducing rotational spring stiffness at member ends and various responses were extracted for each damage scenario. The methodology utilizes Supervised Machine Learning to automatically determine damage location (DL) and intensity (DI). Simulated experiments showed that DLs and DIs were detected accurately for both spans with various structural responses and using different instrumentation plans.

Application of Design Thinking Methodology to the Various Phases of the Software Development Life Cycle

Design thinking is often thought of as a creative way of problem solving. People are told to believe what they are told and what they read, and with that is the downfall of creativity. Designers need to see the world through the eyes of a 5-year-old. People needs to give themselves permission to be creative. It takes intelligence to answer a question, but it also takes creativity to answer the question. People have to imagine the world as it never existed before. Design thinking can be termed as “consumer-centric”, “end-user centric” or simply “human-centric” thinking. It works from the perspective of the user in general with user satisfaction being the primary goal. The methodology that I adopted is thinking from the user's perspective and working towards user's satisfaction as the goal. Design thinking is a problem-solving technique evolved in different fields like architecture, engineering, and business. The key element to the success of designing a software system lies in user participation. Therefore, it was basically developed to derive a solution by understanding the user's need.

Principles of Digital Watermarking

This chapter introduces the benefits of watermark over cryptography and stenography. It provides the digital ownership on a file, but the noise is also attached with the file. Even if somebody copies the file and claims ownership, watermark still provides security. Watermarking is a robust and secured technique compared to other techniques. Implementation cost of this technique is optimized. This chapter also elucidates the attacks on watermarks and solutions to handle these attacks. Authors suggest watermarking will remain unchanged even if the file is compressed.

E-Learning and Its Practical Application for Growth and Success in Industries

E-learning is on the rise continuously with day-to-day innovations in the technology. Now, one can see the increasing trend in the use of Mobile Learning, Virtual Reality, Games, Videos, Social Media, Interactive Tutorials, etc. as e-learning has become a life-long learning tool. E-learning uses the approach of – Anywhere, Anytime, Anyone. Use of internet, social networking groups are keeping people updated with the latest happenings around the world. Model of e-learning proposed in the chapter for implementation in the industries covers linkages with the various existing systems and provides an effective way to create a culture supportive of e-learning.

A State of the Art on Big Data With Semantic Web Technologies

We live in a digital world where a large amount of data is being generated rapidly by various diverse sources with an unprecedented rate. The term Big Data has been coined to represent a large amount of data. But Big Data could not be processed and analysed by traditional database management systems. A number of challenges such as data heterogeneity and diversity are being faced by enterprises due to high volume, variety, and velocity of Big Data. Since the past few years, some research efforts have been attempted to integrate semantic web technologies such as ontologies with Big Data. This integration is paving the way to deal with various issues that are related to the processing of Big Data. This chapter firstly uncovers the fundamentals of Big Data, its characteristics and opportunities, challenges, related current tools, and technologies. Secondly, it tries to highlight the integration of Big Data with semantic web technologies. The promising research is going on to tackle volume and velocity of Big Data by using semantic technologies.

Sentiment Analysis of Game Review Using Machine Learning in a Hadoop Ecosystem

Internet, & more unambiguously the creation of WWW in the early 1990s, helped people to build an interconnected global platform where information can be stored, shared, and consumed by anyone with an electronic device which has the ability to connect to the Web. This provides a way of putting together lots of information, ideas, and opinion. An interactive platform was born to post content, messages, and opinions under one roof, and the platform is known as social media. Social media has acquired massive popularity and importance that why today almost everyone can't stay away from it. Social media is not only a medium for people to express their thoughts, moreover, but it is also a very powerful tool which can be used by businesses to focus on new and existing customers and increase profit with the help of social media analytics. This paper starts with a discussion on social media with its significance & pitfalls. Later on, this paper presents a brief introduction of sentiment analysis in social media and give an experimental work on sentiment analysis in a social game review.