The offshore/onsite teams' knowledge transfer (KT) effectiveness is one of the key determinants for achieving the outcome of global software development (GSD) projects. In this study, the significance of offshore/onsite teams (GSD teams) KT effectiveness in GSD projects is measured through various factors: knowledge, team, technology, and organization factors. Moreover, the assessment framework for the integration of knowledge, team, technology, and organization factors for evaluating KT effectiveness in GSD projects has not been adequately available in the existing literature. For this motivation, the main objective of this study is to propose the assessment framework to evaluate offshore/onsite teams KT effectiveness with reference to GSD project outcome. For evaluating KT effectiveness of GSD teams, we have integrated three Fuzzy Multi-Criteria Decision Making (FMCDM) methodologies: (a) Fuzzy Decision Making Trial and Evaluation Laboratory Model (DEMATEL), (b) Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) and (c) Elimination Et Choix Traduisant la REaite (ELECTRE). Further, the hybridization of fuzzy DEMATEL, TOPSIS, and ELECTRE has not available in the existing literature. Based on this research gap, we have integrated fuzzy DEMATEL, TOPSIS, and ELECTRE approach for evaluating KT effectiveness of offshore/onsite teams in the context of GSD project outcome. Subsequently, the applicability and capability of proposed framework has been validated by software experts at Inowits Software Organization in India.

An integrated fuzzy DEMATEL, TOPSIS, and ELECTRE approach for evaluating knowledge transfer effectiveness with reference to GSD project outcome

E-government is an indispensable part of a Smart City. Information and communication technologies transform the relationship between citizens, businesses, and government departments, which enables the implementation of e-government, making operational processes efficient and speedy. This chapter investigates the current deployment strategies and the technological solutions of e-government in terms of security and privacy in a Smart City environment; it also identifies the challenges of adoption. In addition, this chapter proposes a decentralized framework based upon blockchain and artificial intelligence to provide a secure and privacy-preserving infrastructure. The proposed framework integrates technologies to provide mutual trust between individuals, businesses, and governments, leading to a greater transparency of activity and less operational overhead. The reduction in process overhead results in lower running costs (therefore increasing revenue) and improves the speed of cross-boundary transactions.

Privacy and Security Aspects of E-government in Smart Cities

Huge amount of medical data is available today. In order to predict the disease we need a reliable method to diagnose the disease. In this paper we introduce a technique known as FFBAT-ANN prediction algorithm which is categorized as Feature reduction and Diabetes disease classification and such a process is carried out using LPP algorithm and FFBATartificial neural network classifier respectively. Initially, LPP algorithm is employed to produce fuzzy rules by recognizing the attributes corresponding to the diabetes disease. Later on, the classification is carried out by blending FFBAT optimization technique with Artificial Neural Network classifier. Finally, the experiment is performed on diabetes dataset. The experimental result proves that the performance of our proposed method outperforms the other conventional methods.

Hybrid Firefly-Bat Optimized Fuzzy Artificial Neural Network Based Classifier for Diabetes Diagnosis

The popularity of Wireless Sensor Networks (WSN) is increasing in critical infrastructure, smart metering, and home automation. Of the numerous protocols available, Z-Wave has significant potential for growth in WSNs. As a proprietary protocol, there are few research publications concerning Z-Wave, and thus little is known about the security implications of its use. Z-Wave networks use a gateway controller to manage and control all devices. Vulnerabilities have been discovered in Z-Wave gateways, all of which rely on the gateway to be consistently connected to the Internet. The work herein introduces a new vulnerability that allows the injection of a rogue controller into the network. Once injected, the rogue controller maintains a stealthy, persistent communication channel with all inadequately defended devices. The severity of this type of attack warrants mitigation steps, presented herein.

Rogue Z-Wave controllers: A persistent attack channel

This paper discusses current threats in wireless networks and some academia research reviews regarding the matters. Significant and persistent threats discussed are sniffing, Man In the Middle Attack (MITM), Rogue Access Points (RAP), Denial Of Services (DoS) and social engineering attacks. Some current developments of wireless communication technology such as short range communication, cloud computing, bring your own device policy (BYOD), devices tethering and convergences of WiFi and cellular network technology are also presented. Some practical suggestion and advanced countermeasures are also reviewed in this paper. The findings from reviewing these research papers proved that the complexity of the attacks had increased by time and the attacks in WiFi network are passive and more dangerous to the end users.

Wireless networks: developments, threats and countermeasures

Wireless Local Area Networks frequently referred to as WLANs or Wi-Fi networks are all the vehemence in recent times. People are installing these in houses, institutions, offices and hotels etc, without any vain. In search of fulfilling the wireless demands, Wi-Fi product vendors and service contributors are exploding up as quickly as possible. Wireless networks offer handiness, mobility, and can even be less expensive to put into practice than wired networks in many cases. With the consumer demand, vendor solutions and industry standards, wireless network technology is factual and is here to stay. But how far this technology is going provide a protected environment in terms of privacy is again an anonymous issue. Realizing the miscellaneous threats and vulnerabilities associated with 802.11-based wireless networks and ethically hacking them to make them more secure is what this paper is all about. On this segment, we'll seize a look at common threats, vulnerabilities related with wireless networks. And also we have discussed the entire process of cracking WEP (Wired Equivalent Privacy) encryption of WiFi, focusing the necessity to become familiar with scanning tools like Cain, NetStumbler, Kismet and MiniStumbler to help survey the area and tests we should run so as to strengthen our air signals.

Wireless hacking - a WiFi hack by cracking WEP

Gesture based communication is the standard language utilized by the hard of hearing individuals for correspondence purpose. Despite the way that they precisely chat with each other by a method in sign language, they confront obscurity when they attempt to speak with individuals who can see sound, basically with the individuals who can’t understand sign language. Consequently, an effective method to be produced to gain and recognize the sign motion language. In our proposed work we have planned a casing work for examining and distinguishing the sign motion language. The proposed technique is handled through various modules like Noise removal using adaptive filter, segmentation using region growing algorithm and feature extraction by using an improved genetic algorithm. Finally, the proposed technique will be assessed by contrasting with the support vector machine classifier.

A framework for sign gesture recognition using improved genetic algorithm and adaptive filter

A comprehensive analytical exploration and customer behaviour analysis of smart home energy consumption data with a practical case study

Global software development (GSD) is a knowledge intensive process of offshore/onsite teams that helps in planning and designing a coherent software system to meet the business needs. The aim of this research is to reveal the influence of GSD teams’ (offshore/onsite) knowledge codification factors on knowledge transfer (KT) effectiveness with respect to the outcome of GSD projects. Knowledge codification is the process of converting the tacit knowledge to explicit knowledge. In the GSD projects, where offshore/onsite teams’ are distributed and working in various geographic locations, the process of knowledge codification has influenced by several factors. Thus, our objective of this paper is to address the knowledge codification factors on knowledge transfer effectiveness in the context of GSD project outcome perceived by GSD teams. Moreover, this study explores to integrate effectiveness of knowledge transfer in GSD project outcome relationship from the service provider perspective in following dimensions: product success, successful collaboration, and personal satisfaction. This research study employs survey methods to empirically validate the research model in Indian software companies for their view of GSD projects.

Towards Identifying the Knowledge Codification Effects on the Factors Affecting Knowledge Transfer Effectiveness in the Context of GSD Project Outcome

Depleting oil reserves and fossil fuels has changed the aspect of thought in energy sector and led to a strong focus on renewable energy sources. Wind energy sector is a potential area of research as the idea of micro grid and domestic power integration are in place. Wind turbines that can be used to harness the low wind velocities for power generation are of importance. Horizontal Axis Wind Turbines and vertical Axis Wind Turbines are the types of wind turbines used to convert wind energy to electrical energy. Horizontal Axis Wind Turbines provide good wind power conversion efficiency and are used in regions of moderate to high wind speeds and in regions of lower wind speeds, Vertical Axis Wind Turbines performance is satisfactory. In this work, the mathematical modeling of HAWT and different types of VAWTs are presented, followed by analysis of those turbine models under lower air velocities. The performance parameters used in this study are maximum power coefficient and output power which are standard performance metrics for wind power generation. The analysis reinforces the fact that, in domestic conditions, where the wind velocity in low, VAWTs provide superior performance.

Ch. Pradeep Reddy

Papers

Wireless hacking - a WiFi hack by cracking WEP

A framework for sign gesture recognition using improved genetic algorithm and adaptive filter

A comprehensive analytical exploration and customer behaviour analysis of smart home energy consumption data with a practical case study

Towards Identifying the Knowledge Codification Effects on the Factors Affecting Knowledge Transfer Effectiveness in the Context of GSD Project Outcome

Analysis on the Effectiveness of Vertical Axis Wind Turbine for Domestic Consumers