This new volume presents a range of techniques aimed to enhance the operation of human resource management by applying state-of-the-art artificial intelligence technology. With illustrative case studies, the volume uses as examples from several types of problems and includes their possible solutions using advanced AI technology. The volume explores the confluence of smart computing and traditional businesses to foster productivity, profitability, and prosperity and goes on to apply AI techniques in the recruitment process, with enterprise resource planning (ERP) management software, for manpower optimization systems in colleges, for creating uniformity in HRM across organizations, for creating conflicting strategy management techniques, and more. One pandemic-related chapter discusses the use of radio frequency (RF) based technology for monitoring social distance. Artificial Intelligence Techniques in Human Resource Management will help HRM professionals keep abreast of today’s smart technological solutions and will provide valuable information for academicians and researchers on the diverse application of AI in business and management.

This book helps to enhance the application of fuzzy logic optimization in the areas of science and engineering. It includes implementation and models and paradigms, such as path planning and routing design for different wireless networks, organization behavior strategies models, and so forth. It also: Explains inventory control management, uncertainties management, loss minimization, game optimization, data analysis and prediction, different decision-making system and management, and so forth Describes applicability of fuzzy optimization techniques in areas of science and management Resolves several issues based on uncertainty using member function Helps map different problems based on mathematical models Includes issues and problems based on linear and nonlinear optimizations Focuses on management science such as manpower management and inventory planning This book is aimed at researchers and graduate students in signal processing, power systems, systems and industrial engineering, and computer networks.

This book presents architectural solutions of wireless network and its variations. It basically deals with modeling, analysis, design and enhancement of different architectural parts of wireless network. The main aim of this book is to enhance the applications of wireless network by reducing and controlling its architectural issues. The book discusses efficiency and robustness of wireless network as a platform for communication and data transmission and also discusses some challenges and security issues such as limited hardware resources, unreliable communication, dynamic topology of some wireless networks, vulnerability and unsecure environment. This book is edited for users, academicians and researchers of wireless network. Broadly, topics include modeling of security enhancements, optimization model for network lifetime, modeling of aggregation systems and analyzing of troubleshooting techniques.

This book focuses primarily on the nature-inspired approach for designing smart applications. It includes several implementation paradigms such as design and path planning of wireless network, security mechanism and implementation for dynamic as well as static nodes, learning method of cloud computing, data exploration and management, data analysis and optimization, decision taking in conflicting environment, etc. The book fundamentally highlights the recent research advancements in the field of engineering and science.

This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics. Accordingly, there is a pressing need for novel and innovative algorithms to help us find effective solutions in industrial application areas such as media, healthcare, travel, finance, and retail. In all of these areas, data is the crucial parameter, and the main key to unlocking the value of industry. The book presents a range of intelligent algorithms that can be used to filter useful information in the above-mentioned application areas and efficiently solve particular problems. Its main objective is to raise awareness for this important field among students, researchers, and industrial practitioners.

This book presents architectural solutions of wireless network and its variations. It basically deals with modeling, analysis, design and enhancement of different architectural parts of wireless network. The main aim of this book is to enhance the applications of wireless network by reducing and controlling its architectural issues. The book discusses efficiency and robustness of wireless network as a platform for communication and data transmission and also discusses some challenges and security issues such as limited hardware resources, unreliable communication, dynamic topology of some wireless networks, vulnerability and unsecure environment. This book is edited for users, academicians and researchers of wireless network. Broadly, topics include modeling of security enhancements, optimization model for network lifetime, modeling of aggregation systems and analyzing of troubleshooting techniques.

This book focuses primarily on the nature-inspired approach for designing smart applications. It includes several implementation paradigms such as design and path planning of wireless network, security mechanism and implementation for dynamic as well as static nodes, learning method of cloud computing, data exploration and management, data analysis and optimization, decision taking in conflicting environment, etc. The book fundamentally highlights the recent research advancements in the field of engineering and science.

This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics. Accordingly, there is a pressing need for novel and innovative algorithms to help us find effective solutions in industrial application areas such as media, healthcare, travel, finance, and retail. In all of these areas, data is the crucial parameter, and the main key to unlocking the value of industry. The book presents a range of intelligent algorithms that can be used to filter useful information in the above-mentioned application areas and efficiently solve particular problems. Its main objective is to raise awareness for this important field among students, researchers, and industrial practitioners.

In recent years, most applications deal with constraint decision-making systems as problems are based on imprecise information and parameters. It is difficult to understand the nature of data based on applications and it requires a specific model for understanding the nature of the system. Further research on constraint decision-making systems in engineering is required. Constraint Decision-Making Systems in Engineering derives and explores several types of constraint decisions in engineering and focuses on new and innovative conclusions based on problems, robust and efficient systems, and linear and non-linear applications. Covering topics such as fault detection, data mining techniques, and knowledge-based management, this premier reference source is an essential resource for engineers, managers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

In recent years, most applications deal with constraint decision-making systems as problems are based on imprecise information and parameters. It is difficult to understand the nature of data based on applications and it requires a specific model for understanding the nature of the system. Further research on constraint decision-making systems in engineering is required. Constraint Decision-Making Systems in Engineering derives and explores several types of constraint decisions in engineering and focuses on new and innovative conclusions based on problems, robust and efficient systems, and linear and non-linear applications. Covering topics such as fault detection, data mining techniques, and knowledge-based management, this premier reference source is an essential resource for engineers, managers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

This is the story of trials and tribulations a young lady has undergone in her search for truth. Manisha is thirteen when her parents have committed suicide. Krupa, their servant, is the cause. From her childhood she has been learning that 'Good' wins over 'Evil'. But opposite is the result in her parents' case. Which one of the two is true? For this she has intended to undertake a search. Her plan is to marry a person who is more evil than Krupa and start her search. In case of her victory over him, she would take that to be the victory of 'Good' over 'Evil' and vice versa. She has found such suitability in Kumar, the son of Uncle Shyam and, ultimately, got married to him. Kumar has a previous grudge against Manisha. So when he has found her as his wife, he wants to teach her a lesson. In his bid to do that he is degrading himself deeper and deeper. Kumar's financial soundness has deteriorated in proportion to his degradation. One day he has asked Manisha to entertain the bank manager for obtaining a loan to which she has disagreed. As a measure of revenge he attempts to kill her by pushing her into a precipice, but falls himself into it instead. Kumar's sudden death has rendered Manisha's search inconclusive. So she is in need of another candidate for her search. Her eyes fall on the photo of Bighneswar one day. He is the 'Big Boss' of the city of C..... . She approaches Bighneswar with her proposal. His reply is a 'denial'. But when Bighneswar has come to know that Manisha is planning to marry Nandi, his rival, he has accepted her proposal and married her. Gang war between Bighneswar and Nandi is at its peak then. Manisha has nothing to do with the business of Bighneswar. She spends most of her time in reading. Every time Bighneswar comes to his living-room, he finds her with a book in her hand. This has a telling effect on him. So when 'Truce' is proposed by Nandi, he accepts it contrary to the expectation of all. The war is over. On the suggestion of her husband Manisha has engaged herself in the work of rehabilitation. She has visited different hospitals and the houses of deceased. She tries her level best to assuage their suffering. She is so much engrossed in her work that she rarely finds time to meet her husband. This causes great alarm to Bighneswar. He advises her to be practical in life. In answer to a remark of Bighneswar that she is exposing herself to destruction, Manisha has said, "You were unnecessarily perturbed. Nobody can be the cause of ruin of another." She has further stated that neither torture can earn her consent to the work she has no liking for nor inducement can seduce her. Manisha's reply has allayed the fear of Bighneswar. He has said, "I'm proud to be your husband, to be your companion and, moreover, to be defeated in your hand." Manisha's joy knows no bounds. She declares, "This day is a great day for us both. This is neither my victory nor your defeat. This is the victory of us both. This is the victory of 'Good' over 'Evil'. Let's celebrate this day." Saying so she has hugged him and he has hugged her in turn and they spend a great while in embracing each other. From that day onwards wherever they go, they go hand in hand and whatever they do, they do in close co-operation. Manisha is a great lover of solitude and for this she visits the pine forest on the other side of the city. In the silence of forest the thought of beginning of a school takes root. One day she has seen this author at the other end of the forest. An inner voice tells her to offer me the responsibility of her project. But she has become the victim of Parsu's bullet before she can meet me. Her husband has pleaded her case and won me over. Some days later Bighneswar has, also, become target of Parsu. 'Vidya Niketana' is Manisha's dream school. I turn the entire story over in my mind lest I leave anything unsaid while delivering my speech on the occasion of the 'Foundation Day' of 'Vidya Niketana'.

Self-compacting concrete (SCC) is a new concrete technology developed during last two decades and it has become very popular in the construction industry. Filling ability, Passing ability and Resistance against segregation & bleeding, are the main properties of Self-compacting concrete. The main problem in designing of SCC is the selection of appropriate ingredients. All super plasticizers and viscosity modifying admixtures (VMA) are not compatible with any kind of cement. An experimental investigation has been undertaken to produce Self-compacting mortar and Self-compacting concrete to understand cement-plasticizers or admixture compatibility problem. Further, the harden properties of SCC was improved by addition of polypropylene fibers. The common problem associated with the use of fiber in concrete is the reduction in workability. However, the flow properties for SCC can be achieved in presence of fiber using new generation plasticizers and additives.The present research also describes the manufacturing process and rheological aspects of newly developed fiber reinforced self compacting mortar