bluuebunny/crossref_metadata_2025 huggingface dataset:
Thing Theory
Authors: Applin Sally A. , Fischer Michael D.
Published: August 2019

As healthcare professionals and others embrace the Internet of Things (IoT) and smart environment paradigms, developers will bear the brunt of constructing the IT relationships within these, making sense of the big data produced as a result, and managing the relationships between people and technologies. This chapter explores how PolySocial Reality (PoSR), a framework for representing how people, devices and communication technologies interact, can be applied to developing use cases combining IoT and smart environment paradigms, giving special consideration to the nature of location-aware messaging from sensors and the resultant data collection in a healthcare environment. Based on this discussion, the authors suggest ways to enable more robust intra-sensor messaging through leveraging social awareness by software agents applied in carefully considered healthcare contexts.
Mobile Healthcare in an Increasingly Connected Developing World
Authors: Yadav Nikhil , Aliasgari Mehrdad , Poellabauer Christian
Published: August 2019

Global health care has become an enormous industry worldwide, where trends such as aging populations, environmental and climate changes, catastrophic events, and the spread and evolution of diseases pose significant challenges. With the rapid growth of information technology (IT), wireless technologies, and mobile services, health care processes are able to increasingly benefit from new technological advances. Specifically, the area of “mobile health” or mHealth, which leverages mobile phone functionality to provide medical and public health services, has become a very promising trend. Wireless and mobile technologies have great potential in improving patient care, reducing costs, streamlining processes, and allowing adherence to regulations. However, the developing world faces numerous challenges in realizing the infrastructure and technical expertise required to adopt secure mHealth solutions and applications. In this paper the authors discuss these challenges and solutions suitable for the developing world, highlighting existing problems and risks in realizing secure mHealth applications and services.
Mobile Telemedicine Systems for Remote Patient's Chronic Wound Monitoring
Authors: Chakraborty Chinmay , Gupta Bharat , Ghosh Soumya K.
Published: August 2019

Telemedicine can be defined as the delivery of health care and sharing of medical information at a distance using telecommunication platforms. This chapter describes the implementation of a mobile telemedicine system for patient's chronic wound (CW) monitoring using a smartphone. The system proved to be quick and reliable for providing health care at door step. The tele-wound technology network (TWTN) framework in telemedicine systems using smartphones for remote wound monitoring has been proposed. This framework is effective for both rural as well as urban people; it gives good performance in terms of wound monitoring and advanced diagnosis. The main objective of this work is to design and develop a TWTN system model that can acquire, process and monitor CW related problems with using a low cost smartphone to increase the overall performance of the system. Specifically, the TWTN system is developed for biomedical information like CW processing to monitor important patient information inexpensively and accurately.
Trust Management Model based on Fuzzy Approach for Ubiquitous Computing
Authors: Mhetre Nalini A. , Deshpande Arvind V. , Mahalle Parikshit Narendra
Published: August 2019

The current state of ubiquitous computing has been greatly influenced by emerging networking developments like Internet of Things (IoT), Future Internet etc. Adequate trust management is crucial to provide security. The entities involved in communication must be trusted for specific purposes depending on their role. Using trust model, devices can run trust computations and guide their behaviors. To this effect, a method is needed to evaluate the level of trust between devices. Trust models investigated so far discusses that devices face problems when communicating as transforming trust relationships from real to virtual world requires the negotiation of trust based on the security properties of devices. However, these models are developed in limited devices. This paper proposes a distributed trust model for device-to-device communication in ubiquitous computing. Mathematical model based on fuzzy rules to establish trust is presented. Fuzzy simulation of the model is presented to validate the findings. Simulation results show that proposed model calculates fuzzy trust values reliably.
A Location-Aware Architecture for an IoT-Based Smart Museum
Authors: Del Fiore Giuseppe , Mainetti Luca , Mighali Vincenzo , Patrono Luigi , Alletto Stefano , Cucchiara Rita , Serra Giuseppe
Published: August 2019

The Internet of Things, whose main goal is to automatically predict users' desires, can find very interesting opportunities in the art and culture field, as the tourism is one of the main driving engines of the modern society. Currently, the innovation process in this field is growing at a slower pace, so the cultural heritage is a prerogative of a restricted category of users. To address this issue, a significant technological improvement is necessary in the culture-dedicated locations, which do not usually allow the installation of hardware infrastructures. In this paper, we design and validate a no-invasive indoor location-aware architecture able to enhance the user experience in a museum. The system relies on the user's smartphone and a wearable device (with image recognition and localization capabilities) to automatically deliver personalized cultural contents related to the observed artworks. The proposal was validated in the MUST museum in Lecce (Italy).
Agents for Intrusion Detection in MANET
Authors: Mechtri Leila , Tolba Fatiha Djemili , Ghanemi Salim
Published: August 2019

Mobile Ad-hoc NETworks (MANETs) are believed to be highly vulnerable to security threats due to the numerous constraints they present such as: the absence of a fixed infrastructure, the dynamic topology change, their dependence on cooperative communication, the unreliability of wireless links and most importantly the absence of a clear line of defense. Since intrusion detection and agent technology proved to offer several potential advantages, there has been a great tendency for using agents to build optimal, adaptive and comprehensive intrusion detection systems to fit MANET security requirements. This chapter presents a survey and analysis of the work that has been recently done for the deployment of agent technology in the area of MANET intrusion detection. In particular, recent advances in that field in terms of existing frameworks, architectures and implementations as well as a discussion of the obtained advantages in addition to the potentially introduced vulnerabilities are presented.
Intrusion Detection System (IDS) and Their Types
Authors: Pradhan Manoranjan , Nayak Chinmaya Kumar , Pradhan Sateesh Kumar
Published: August 2019

Over the last two decades, computer and network security has become a main issue, especially with the increase number of intruders and hackers, therefore systems were designed to detect and prevent intruders. This chapter per the authors investigated the most important design approaches, by mainly focusing on their collecting, analysis, responding capabilities and types of current IDS products. For the collecting capability, there were two main approaches, namely host- and network-based IDSs. Therefore, a combination of the two approaches in a hybrid implementation is ideal, as it will offer the highest level of protection at all levels of system functions. The analysis capability of an IDS can be characterised by the misuse and anomaly detection approaches. Therefore, a combination of the two approaches should improve the analysis capability of an IDS i.e. hybrid of misuse and anomaly detection.
Mechanisms to Secure Communications in the IoT
Authors: Bilami Azeddine , Sahraoui Somia
Published: August 2019

The maturity of the IoT depends on the security of communications and the protection of end-user's privacy. However, technological and material heterogeneities, and the asymmetric nature of communications between sensor nodes and ordinary Internet hosts, make the security in this case more problematic. Major problem facing the large deployment of IoT is the absence of a unified architecture and a lack of common agreement in defining protocols and standards for IoT parts. Many solutions have been proposed for the standardization of security concepts and protocols in IoT at different layers. Even though many advances and proposals were made for IoT adaptation as IPv6 for Low Power Wireless Personal Area Network (6LoWPAN), and at application layer with protocols such as XMPP, MQTT, CoAP, etc., security of the IoT remains a very challenging task and an open research topic. This chapter focuses on existing protocols and different proposed mechanisms in literature to secure communications in the IoT.
An Optimal Routing Algorithm for Internet of Things Enabling Technologies
Authors: Dhumane Amol V. , Prasad Rajesh S. , Prasad Jayashree R.
Published: August 2019

In Internet of things and its relevant technologies the routing of data plays one of the major roles. In this paper, a routing algorithm is presented for the networks consisting of smart objects, so that the Internet of Things and its enabling technologies can provide high reliability while the transmitting the data. The proposed technique executes in two stages. In first stage, the sensor nodes are clustered and an optimal cluster head is selected by using k-means clustering algorithm. The clustering is performed based on energy of sensor nodes. Then the energy cost of the cluster head and the trust level of the sensor nodes are determined. At second stage, an optimal path will be selected by using the Genetic Algorithm (GA). The genetic algorithm is based on the energy cost at cluster head, trust level at sensor nodes and path length. The resultant optimal path provides high reliability, better speed and more lifetimes.
Internet of Things Service Provisioning Platform for Cross-Application Cooperation
Authors: Zhao Shuai , Cheng Bo , Yu Le , Hou Shou-lu , Zhang Yang , Chen Jun-liang
Published: August 2019

With the development of Internet of Things (IoT), large-scale of resources and applications atop them emerge. However, most of existing efforts are “silo” solutions, there is a tight-coupling between the device and the application. The paradigm for IoT and its corresponding infrastructure are required to move away from isolated solutions towards cooperative models. Recent works have focused on applying Service Oriented Architecture (SOA) to IoT service provisioning. Other than the traditional services of cyberspace which are oriented to a two-tuple problem domain, IoT services are faced with a three-tuple problem domain of user requirement, cyberspace and physical space. One challenge of existing works is lacking of efficient mechanism to on-demand provisioning the sensing information in a loosely-coupled, decentralized way and then dynamically coordinate the relevant services to rapidly respond to changes in the physical world. Another challenge is how to systematically and effectively access (plug) the heterogeneous devices without intrusive changing. This paper proposes a service provisioning platform which enables to access heterogeneous devices and expose device capabilities as light-weighted service, and presents an event-based message interaction mode to facilitate the asynchronous, on-demand sharing of sensing information in distributed, loosely-coupled IoT environment. It provides the basic infrastructure for IoT application pattern: inner-domain high-degree autonomy and inter-domain dynamic coordination. The practicability of platform is validated by experimental evaluations and a District Heating Control and Information System (DHCIS).
Networked Wireless Sensors, Active RFID, and Handheld Devices for Modern Car Park Management
Authors: Djenouri Djamel , Karbab ElMouatezbillah , Boulkaboul Sahar , Bagula Antoine
Published: August 2019

Networked wireless sensors, actuators, RFID, and mobile computing technologies are explored in this paper on the quest for modern car park management systems with sophisticated services over the emerging internet of things (IoT), where things such as ubiquitous handheld computers, smart ubiquitous sensors, RFID readers and tags are expected to be interconnected to virtually form networks that enable a variety of services. After an overview of the literature, the authors propose a scalable and lowcost car parking framework (CPF) based on the integration of aforementioned technologies. A preliminary prototype implementation has been performed, as well as experimentation of some modules of the proposed CPF. The results demonstrate proof of concept, and particularly reveal that the proposed approach for WSN deployment considerably reduces the cost and energy consumption compared to existing solutions.
Protecting Data Confidentiality in the Cloud of Things
Authors: Alohali Bashar , Vassilakis Vassilios G.
Published: August 2019

Following the rapid development of the Internet of Things (IoT) technology worldwide, the integration of the IoT to the cloud, referred to as the Cloud of Things (CoT), has become essential for easy access and management of remote resources. However, security and malicious intrusions must be seriously considered to ensure network reliability and data confidentiality. In this paper, the authors analyze the security implications of CoT and propose a solution for data confidentiality. They prove that the proposed solution can effectively protect against a number of security attacks.
Defensive Mechanism Against DDoS Attack to Preserve Resource Availability for IoT Applications
Authors: Aridoss Manimaran
Published: August 2019

The major challenge of Internet of Things (IoT) generated data is its hypervisor level vulnerabilities. Malicious VM deployment and termination are so simple due to its multitenant shared nature and distributed elastic cloud features. These features enable the attackers to launch Distributed Denial of Service attacks to degrade cloud server performance. Attack detection techniques are applied to the VMs that are used by malicious tenants to hold the cloud resources by launching DDoS attacks at data center subnets. Traditional dataflow-based attack detection methods rely on the similarities of incoming requests which consist of IP and TCP header information flows. The proposed approach classifies the status patterns of malicious VMs and ideal VMs to identify the attackers. In this article, information theory is used to calculate the entropy value of the malicious virtual machines for detecting attack behaviors. Experimental results prove that the proposed system works well against DDoS attacks in IoT applications.
Ontology-Driven Situation Assessment System Design and Development in IoT Domains
Authors: Lebedev Sergey , Panteleyev Michail
Published: August 2019

An ontology-driven approach to software design and development of situation assessment systems (SAS) for IoT applications is considered. As SAS is used to build the situational model for the external environment, it highly depends on the operational domain. To simplify the transition from the domain description to SAS dataflow process the ontology-driven approach is proposed. The main idea of the approach is to explicitly formalize SAS dataflow process in an ontological form. For this purpose, a domain-independent SAS ontology is proposed that allows automation of the dataflow process design. The dataflow process ontology is used to automate development and runtime stages of SAS lifecycle. The proposed ontology is included into the proposed instrument set. The set can be used to build SAS systems for different domains described with OWL ontology. The set is evaluated on a traffic control scenario.
Security Aspects in Utility Computing
Authors: Swarnkar Mayank , Bhadoria Robin Singh
Published: August 2019

Utility computing is a need of today's cyber world and so the importance of its security is an important issue. Concerns for utility computer networks' security and dependability are growing quickly because of increasing utility devices with connections to external networks. This aggravates vulnerability of utility networks to cyber-attacks through external connections. Various types of issues and its solutions regarding security in utility computing have been explained in this chapter.
Smart Refrigerator with Recipe Assistance
Authors: Gadgil Aishwarya , Jagtap Vedija , Kulkarni Pooja
Published: August 2019

Internet of Things (IoT) will lead to a technological revolution that will change the way people live and interact with their surroundings. Intelligent appliances combined with multimedia capability have been emerging in everyone's life. Smart home is one of the prominent areas of intelligent advances. Kitchen is considered as the center of our house, where the refrigerator plays an important role. Smart Refrigerator with Recipe Assistance will help in automating the refrigerator. The authors propose a system that would track the stock of ingredients in the refrigerator with the help of RFID tags and load cells. According to the availability of ingredients a list of possible recipes is predicted and suggestions will be given to the user. Whenever an item is identified by a RFID tag, estimations on the usage of ingredients are made and we can get notifications about the scarce products. The system will also help in checking the availability of ingredients based on the recipe user wishes to cook. The time required by an individual for manually checking the availability of ingredients in the refrigerator and then thinking about what to cook is greatly reduced using this system. Most of the information is automatically generated using RFID tags. Once the user logins into the application he/ she will be suggested the possible list of recipes based on the availability. Human intellectual power then can be used for new creative processes rather than using it for routine chores.
Deepa's Discovery
Authors: Harrichand John J. S. , Kirk Krista , Mwendwa Joy Maweu
Published: August 2019

This chapter seeks to bring awareness to the multiple identities that international (graduate/doctoral counseling) students bring to college and university campuses. The multiple identities are examined through the intersectionality paradigm and the RESPECTFUL model, and apply the Multicultural and Social Justice Counseling Competencies (MSJCC). It is intended to help counselors-in-training, counselor educators, supervisors, and administrators examine current intrapersonal, interpersonal, institutional, community, public, international/global views, and potential roles related to working with clients/students/peers who comprise our growing international student population.
Flying With Eddie
Authors: Eckart Emeline Carol
Published: August 2019

Over 2.4 million American service men and women were deployed overseas between 2001 to 2011. Families of these service members include over one million spouses and two million children under the age of 18. There is a growing need for counselors to understand the mental health needs of military service men and woman, and the unique aspects of military culture. This chapter will demonstrate how to practically apply the Multicultural and Social Justice Counseling Competencies (MSJCC) to counseling work with the military population through a case study.
Lucille
Authors: Johns Elise
Published: August 2019

The percentage of the population in the United States comprised of older adults (65+), sometimes referred to as Baby Boomers (birth year 1946 – 1964) and the Silent Generation (birth year 1925 – 1945), is steadily on the rise. This population is often overlooked and has a unique subset of issues when it comes to counseling competencies. Layered multicultural competencies affecting these individuals include race, gender, sexual orientation, religion, and ageism. Counseling concerns related to age include but are not limited to loss of autonomy, loss of physical ability, loss of loved ones, and changing definition of self. From an existential therapeutic background blended with Cognitive Behavioral Therapy (CBT) interventions, the author reviews the case study of Lucille with a focus on therapeutic intervention and Multicultural and Social Justice Counseling Competencies (MSJCCs).
Issues in Global Food Politics and Options for Sustainable Food Consumption
Authors: Amadi Luke
Published: August 2019

This chapter reviews key issues in global food politics. The aim is to investigate the character and trajectories of the prevailing food system in the liberal international order and, in particular, explore implications of global food politics on sustainable food consumption. Dominant theorizations of food consumption leverage on a common assumption of its essentially profit-oriented character based on the capitalist appropriation, social construction of consumption, and value augmentation leaving behind the more pressing problem of sustainability.
Violence, Politics, and Food Insecurity in Nigeria
Authors: Allen Fidelis
Published: August 2019

This chapter explores how violence and politics affect food security in Nigeria against the backdrop of existential oil, cult, herdsmen versus farmers conflict and Boko Haram insurgency. It examines the contribution of politics and violence in the rising rate of food insecurity in parts of Nigeria. When villagers run away from the violence of cult groups, herdsmen and farmers clashes, and the terror of Boko Haram, the impact on availability and affordability of food requires more accountability. So is the link between oil violence and food insecurity, considering how the industry, through pollution, has considerably reduced cultivable land and fishing in the Niger Delta. Relying on secondary and primary data, the chapter argues that a complex mesh of illegal political relationships and considerations in frequent cases of non-state and criminal armed violence is fast reducing men and women labor in peasant agriculture, such that availability and affordability of food have become threatened.
Women, Ageism, and Sexism
Authors: Parmar Sumita
Published: August 2019

This chapter looks at the changing demographics of the world and examines how the needs of an aging population make it imperative for governments to factor old-age policies and programs in national planning. The chapter then interrogates the situations and problems of the elderly in India, focusing on old women and old widows who are distinct in their socio-economic and psychosocial needs. It dwells on the slowly changing perceptions and attitudes of both the old and the young towards each other in urban centers and stresses how rural India remains largely untouched by these changes.
Baby Boomers and Online Learning
Authors: Edwards Malaika T. , Robinson Petra A.
Published: August 2019

There continues to be a significant increase in the number of post retirement employees (i.e., baby boomers/older workers) in the workforce, either having remained in the organization after retirement or having returned to the workforce in different capacities for varying reasons after their initial separation. A resulting accompaniment to this labor force increase is the increase in the number of boomers who will seek higher education to equip themselves with the skills needed to remain competitive in the workplace. With the advent of online learning, however, the higher education landscape is different from when baby boomers first attended college. This chapter explores the experiences of baby boomers who are pursing graduate studies in an online environment and will discuss appropriate learning strategies for baby boomers to facilitate academic success for this group of learners.
The Important Issues for Millennial Workers
Authors: Tsai Meng-Shan
Published: August 2019

This chapter will help you to understand the important issues facing the Millennial Generation and their behavior in the workplace, understand the concepts of interpersonal relation and the viewpoints of the Millennial Generation, understand the contents of communication skills, communication models and communication styles, and understand how the Millennial Generation views conflict and conflict management.
Brain MR Image Multilevel Thresholding by Using Particle Swarm Optimization, Otsu Method and Anisotropic Diffusion
Authors: Khairuzzaman Abdul Kayom Md , Chaudhury Saurabh
Published: August 2019

Multilevel thresholding is widely used in brain magnetic resonance (MR) image segmentation. In this article, a multilevel thresholding-based brain MR image segmentation technique is proposed. The image is first filtered using anisotropic diffusion. Then multilevel thresholding based on particle swarm optimization (PSO) is performed on the filtered image to get the final segmented image. Otsu function is used to select the thresholds. The proposed technique is compared with standard PSO and bacterial foraging optimization (BFO) based multilevel thresholding techniques. The objective image quality metrics such as Peak Signal to Noise Ratio (PSNR) and Mean Structural SIMilarity (MSSIM) index are used to evaluate the quality of the segmented images. The experimental results suggest that the proposed technique gives significantly better-quality image segmentation compared to the other techniques when applied to T2-weitghted brain MR images.
A Fusion of Cuckoo Search and Multiscale Adaptive Smoothing Based Unsharp Masking for Image Enhancement
Authors: Maurya Lalit , Mahapatra Prasant Kumar , Kumar Amod
Published: August 2019

Image enhancement means to improve the visual appearance of an image by increasing its contrast and sharpening the features. This article presents a fusion of cuckoo search optimization-based image enhancement (CS-IE) and multiscale adaptive smoothing based unsharping method (MAS-UM) for image enhancement. The fusion strategy is introduced to improve the deficiency of enhanced image that suppresses the saturation and over-sharpness artefacts in order to obtain a visually pleasing result. The ideology behind the selection of fusion images (candidate) is that one image should have high sharpness or contrast with maximum entropy and other should be high Peak Signal-to-Noise Ratio (PSNR) sharp image, to provide a better trade-off between sharpness and noise. In this article, the CS-IE and MAS-UM results are fused to combine their complementary advantages. The proposed algorithms are applied to lathe tool images and some natural standard images to verify their effectiveness. The results are compared with conventional enhancement techniques such as Histogram equalization (HE), Linear contrast stretching (LCS), Contrast-limited adaptive histogram equalization (CLAHE), standard PSO image enhancement (PSO-IE), Differential evolution image enhancement (DE-IE) and Firefly algorithm-based image enhancement (FA-IE) techniques.
A PSO Algorithm Based Task Scheduling in Cloud Computing
Authors: Agarwal Mohit , Srivastava Gur Mauj Saran
Published: August 2019

Cloud computing is an emerging technology which involves the allocation and de-allocation of the computing resources using the internet. Task scheduling (TS) is one of the fundamental issues in cloud computing and effort has been made to solve this problem. An efficient task scheduling mechanism is always needed for the allocation to the available processing machines in such a manner that no machine is over or under-utilized. Scheduling tasks belongs to the category of NP-hard problem. Through this article, the authors are proposing a particle swarm optimization (PSO) based task scheduling mechanism for the efficient scheduling of tasks among the virtual machines (VMs). The proposed algorithm is compared using the CloudSim simulator with the existing greedy and genetic algorithm-based task scheduling mechanism. The simulation results clearly show that the PSO-based task scheduling mechanism clearly outperforms the others as it results in almost 30% reduction in makespan and increases the resource utilization by 20%.
Initial Exploration on an Effective Social Media Analytics Method and Algorithm for Instagram Hashtags
Authors: Rosli Nurul Atikah Ahmad , Husin Mohd Heikal
Published: August 2019

Over the years, social media has brought many benefits to different fields, especially in the business sector. Most of the existing organizations have taken these benefits to actively engage with the public to increase their online business value. The use of hashtags on numerous social media platforms especially on Instagram is one of the highly used benefits. By tagging specific postings, business organizations are able to promote and communicate with their customers directly in a more interactive manner. In this article, the authors are exploring the following: (1) to determine the effectiveness of the existing analytics method (text identification and trend analysis) for analyzing Instagram hashtag data and; (2) to determine the effectiveness of existing analytic techniques such as Naïve Bayes and Support Vector Machines (SVM) suited for the selected analytics method. As a result, the authors have identified that the combination of Trend Analysis method and SVM are an effective social media analytics approach for analyzing Instagram hashtag data.
How does Leadership Motivate the Innovative Behaviors of Software Developers?
Authors: Choi Youngkeun
Published: August 2019

This study examines the relationship between transformational leadership types and the motivation of software engineers. The author uses full range leadership as a major theory and investigates how transformational leadership types influences the innovative behaviors of software developers by using a mediator of affective organizational commitment. For this, this study surveys 352 software developers working in 35 companies in Korea and analyzes the data using AMOS 24. The results show that charisma, inspirational motivation, intellectual stimulation and individualized consideration increase their affective organizational commitment affecting innovative behaviors positively in turn.
Image Segmentation Using Electromagnetic Field Optimization (EFO) in E-Commerce Applications
Authors: Upadhyay Pankaj , Chhabra Jitender Kumar
Published: August 2019

Image recognition plays a vital role in image-based product searches and false logo identification on e-commerce sites. For the efficient recognition of images, image segmentation is a very important and is an essential phase. This article presents a physics-inspired electromagnetic field optimization (EFO)-based image segmentation method which works using an automatic clustering concept. The proposed approach is a physics-inspired population-based metaheuristic that exploits the behavior of electromagnets and results into a faster convergence and a more accurate segmentation of images. EFO maintains a balance of exploration and exploitation using the nature-inspired golden ratio between attraction and repulsion forces and converges fast towards a globally optimal solution. Fixed length real encoding schemes are used to represent particles in the population. The performance of the proposed method is compared with recent state of the art metaheuristic algorithms for image segmentation. The proposed method is applied to the BSDS 500 image data set. The experimental results indicate better performance in terms of accuracy and convergence speed over the compared algorithms.
GANDIVA
Authors: Radhakrishna Vangipuram , Kumar Puligadda Veereswara , Janaki Vinjamuri
Published: August 2019

In this research, the authors propose a novel tree structure called GANDIVA which computes true supports of all temporal itemsets by performing a tree-based scan and eliminating the database scan which is required for SPAMINE, G-SPAMINE, MASTER, and Z-SPAMINE approaches. The idea is to construct the tree called GANDIVA which determines support of all time-stamped temporal itemsets from the constructed tree. Another important advantage of the proposed approach is that it does not require the original database to be retained in the memory after a time profiled pattern tree (GANDIVA) is constructed from the original database. The significant advantage of GANDIVA over SPAMINE, G-SPAMINE, Z-SPAMINE, and MASTER is that GANDIVA requires zero database scans after the tree construction. GANDIVA is the pioneering research to propose a novel tree-based framework for seasonal temporal data mining.
An Evolutionary Feature Clustering Approach for Anomaly Detection Using Improved Fuzzy Membership Function
Authors: Kumar Gunupudi Rajesh , Gugulothu Narsimha , Nimmala Mangathayaru
Published: August 2019

Traditionally, IDS have been developed by applying machine learning techniques and followed single learning mechanisms or multiple learning mechanisms. Dimensionality is an important concern which affects classification accuracies and eventually the classifier performance. Feature selection approaches are widely studied and applied in research literature. In this work, a new fuzzy membership function to detect anomalies and intrusions and a method for dimensionality reduction is proposed. CANN could not address R2L and U2R attacks and have completely failed by showing these attack accuracies almost zero. Following CANN, the CLAPP approach has shown better classifier accuracies when compared to classifiers kNN, and SVM. This research aims at improving the accuracy achieved by CLAPP, CANN, and kNN. Experimental results show accuracies obtained using proposed approach is better when compared to other existing approaches. In particular, the detection of U2R and R2L attacks to user accuracies are recorded to be very much promising.
Query Optimization in Crowd-Sourcing Using Multi-Objective Ant Lion Optimizer
Authors: Kumar Deepak , Mehrotra Deepti , Bansal Rohit
Published: August 2019

Nowadays, query optimization is a biggest concern for crowd-sourcing systems, which are developed for relieving the user burden of dealing with the crowd. Initially, a user needs to submit a structured query language (SQL) based query and the system takes the responsibility of query compiling, generating an execution plan, and evaluating the crowd-sourcing market place. The input queries have several alternative execution plans and the difference in crowd-sourcing cost between the worst and best plans. In relational database systems, query optimization is essential for crowd-sourcing systems, which provides declarative query interfaces. Here, a multi-objective query optimization approach using an ant-lion optimizer was employed for declarative crowd-sourcing systems. It generates a query plan for developing a better balance between the latency and cost. The experimental outcome of the proposed methodology was validated on UCI automobile and Amazon Mechanical Turk (AMT) datasets. The proposed methodology saves 30%-40% of cost in crowd-sourcing query optimization compared to the existing methods.
Time-Based QoS Prediction and Rank Aggregation of Web Services
Authors: Mareeswari V. , Sathiyamoorthy E.
Published: August 2019

Everyday activities are equipped with smart intellectual possessions in the modern Internet domain for which a wide range of web services are deployed in business, health-care systems, and environmental solutions. Entire services are accessed through web applications or hand-held computing devices. The recommender system is more prevalent in commercial applications. This research predicts the preference of consumers and lists the recommended services in order of ranking for consumers to choose services in a short time span. This proposed approach aims to offer the exact prediction of missing QoS (quality of service) value of web services at a specified time slice. The uncertainty of QoS value has been predicted using the cloud model theory. The focus is to give the global ranking using the aggregated ranking of the consumer's ranking list, which has been obtained through the Kemeny optimal aggregation algorithm. In this work, multidimensional QoS data of web services have experimented and given an accurate prediction and ranking in the web environment.
Knowledge Management Influence on Safety Management Practices
Authors: Deepak M.D.  , Mahesh Gangadhar , Medi Narotham Kumar
Published: August 2019

Many studies have been conducted in relation with knowledge management (KM), indicating the benefit associated with KM; among which safety management (SM) improvement is one of them. So, the aim of this article is to assess the influence of KM on SM practices in construction industry. In this regard, various factors that affect KM and SM are identified through literature review. Then, a questionnaire survey was facilitated to collect data based on the identified factors. These factors are ranked using a relative importance index (RII) to ascertain the level of importance among its group. Further, correlation analysis and multiple linear regression analysis are carried out to test and measure the strength of the relationship between KM and SM factors. Results indicate that there exists a definite and significant relationship between the factors of KM and SM in construction industry. Overall, the results obtained from the study will assist practitioners and professionals to develop and upgrade KM and SM practices in construction industry.
A University Knowledge Management Tool for the Evaluation of the Efficiency and Quality of Learning Resources in Distance e-Learning
Authors: Atanasova Irena
Published: August 2019

To compete in today's web-based society, virtually every university offers an option for distance e-learning. Universities have developed and maintain up-to-date electronic resources and materials. It is important that these resources are examined and tested from the point of view of the end-users, and to be in accordance with the relevant regulatory requirements and documents. The realization of a well-functioning university knowledge management system includes various software tools for assisting the decision-making process for the four main activities of the universities. In this article, a generic teaching knowledge management module structure, including the full-time and part-time type of learning, and the distance type of e-learning, is proposed. The main goal of the article is the presentation of an expert system concerning learning resources as a part of the university knowledge management system that can be used as a decision support tool for the achievement of competitiveness and sustainable development in some processes related to distance е-learning at the university.
Analysis of Knowledge Sharing Barriers in Sri Lankan Software Companies
Authors: Probodha Jayani , Vasanthapriyan Shanmuganathan
Published: August 2019

Knowledge sharing is a vital factor for the success of organizations, mainly for the knowledge-intensive organizations such as software companies. This study aims to investigate the status of the knowledge sharing attitude and the existing knowledge sharing barriers in Sri Lankan software companies. The Theory of Planned Behaviour is applied as the basis of this study and assessed ten hypothesized associations among dependent variable; attitude for knowledge sharing (AT); and independent variables; motivation and willingness (MW), trust among individuals (TR), time (T), power relationship (PR), expected reciprocity (ER), communication skills (CS), organizational culture and structure (OS), leadership (LD), reward systems (RS), and technological infrastructure (TI). Measurement model analysis, correlation analysis, and regression analysis were used to analyse the data. The seven factors, which have been identified to have a potentially high significance with knowledge sharing attitude were then considered as the barrier factors, which indicate a high possibility to influence a negative impact on the knowledge-sharing attitude. Meanwhile, acquisition growth was identified to have the highest knowledge-sharing attitude, and the network growth was identified to have the least favourable attitude for knowledge sharing. Findings provide convincing evidence of lack of time, improper organizational structures, PR, language and ER as the main barriers associated with knowledge sharing in software companies. The study suggests some solutions to overcome these barriers and directions for future researchers to conduct their studies.
A Permutation-Based Bees Algorithm for Solving Resource-Constrained Project Scheduling Problem
Authors: Nemmich Mohamed Amine , Debbat Fatima , Slimane Mohamed
Published: August 2019

In this article, a novel Permutation-based Bees Algorithm (PBA) is proposed for the resource-constrained project scheduling problem (RCPSP) which is widely applied in advanced manufacturing, production planning, and project management. The PBA is a modification of existing Bees Algorithm (BA) adapted for solving combinatorial optimization problems by changing some of the algorithm's core concepts. The algorithm treats the solutions of RCPSP as bee swarms and employs the activity-list representation and moves operators for the bees, in association with the serial scheduling generation scheme (Serial SGS), to execute the intelligent updating process of the swarms to search for better solutions. The performance of the proposed approach is analysed across various problem complexities associated with J30, J60 and J120 full instance sets of PSPLIB and compared with other approaches from the literature. Simulation results demonstrate that the proposed PBA provides an effective and efficient approach for solving RCPSP.
Solvent Transport Phenomenon of Composite
Authors: Sharma Rukmani , Sarkar Anjana
Published: August 2019

The current chapter focus on the transport phenomenon of polymeric composites . the factors like nature of polymer, temperature, fillers and nature of crosslink can affect the transport properties of a composite. Transport phenomenon in different type of polymer is also studied in the paper.
Mass Transport through Composite Asymmetric Membranes
Authors: Mazumder Ankita , Sen Dwaipayan , Bhattacharjee Chiranjib
Published: August 2019

In recent years, membrane separation technology has emerged as efficient and promising separation process from laboratory scale applications to wide range of technical industrial applications. The development of composite asymmetric membrane is a major breakthrough in membrane research field, as this membrane offers significantly high selectivity without affecting the mechanical durability of the membranes. In this chapter, structural characteristics and different fabrication techniques of composite membranes are reviewed. Moreover the mass transfer mechanism through the composite asymmetric membrane is described in details following solution-diffusion theory, Knudsen diffusion, and series resistance model. Composite membranes are preferred over others because of the high flux and enhanced selectivity without disturbing the mechanical stability of the membranes. These membranes are now widely employed in the applications of reverse osmosis (RO), nanofiltration (NF), pervaporation, gas separation, hydrocarbon fractionations, etc. As composite asymmetric membranes are “tailor-made” in nature, membrane characteristics can be tuned accordingly depending on their end use. Therefore plentiful research opportunities still exist to elevate their performance ability in terms of stability, selectivity and fouling resistance, which will in turn augment its application domain.
Sorption and Diffusion Properties of Wood/Plastic Composites
Authors: Gejo George , Wilson Runcy , Chandran Anoop , Shamsudeen Sajna M. , Valparambil Prakashan , Unnikrishnan Nellipparambil Vishwambharan
Published: August 2019

The area of sorption and diffusion behaviour of wood/plastic composites has gained considerable attention during the last decade owing to the variety of applications it offers. When it comes to polymers filled with wood particles there are essentially two major limiting factors that controls the final products end user applications; 1) diffusion and 2) sorption/solvent uptake of (especially moisture) the product, since these two processes lead to property degradation in the composite materials. The properties and end use application of a given product can be predicted thorough the knowledge of the parameters like diffusion, sorption and permeation coefficients. Transport (sorption, diffusion & permeation) properties of wood plastic composites (WPC’s) are now a day’s one of the most intensively researched areas owing to its significance in materials science. Liquid transport through plastics is one of the most extensively researched fields in materials science. Present chapter provides a brief insight into the transport (mainly moisture/water) properties of wood/plastic composites. Keywords: Wood particles, wood plastic composites, diffusion coefficient
Graphite/UPE Nanocomposite: Transport, Thermal, Mechanical and Viscoelastic Properties
Authors: Panda Shivkumari , Behera Dibakar , Bastia Tapan Kumar
Published: August 2019

This chapter presents the preparation and characterization of some unique properties of nanocomposites by dispersing graphite flakes in commercial unsaturated polyester (UPE) matrix. The composite was prepared by a novel method with the use of solvent swelling technique. Three different specimens of UPE/graphite nanocomposites were fabricated with addition of 1, 2 and 3 wt% of graphite flakes. Except mechanical, viscoelastic and thermo gravimetric properties, transport properties like electrical conductivity, thermal conductivity and water transport properties were studied for the first time. Graphite flakes propose enhanced properties to the composites suggesting homogeneous distribution of the nanofiller in the matrix and strong interaction with the matrix. 2wt% nanofiller loading showed superior essential characteristics and after that the properties reduced may be due to the nucleating tendency of the nanofiller particles. The XRD pattern showed the compatibility of the graphite flakes by introducing a peak around 26.550 in the nanocomposites. SEM Properties are also in agreement with the compatibility. Nanocomposite with 2wt% graphite also showed remarkable enhancement in transport, mechanical, viscoelastic and thermo gravimetric properties. So by introduction of a small quantity of graphite endow the new class of multiphase nanocomposites with inimitable structure and tremendous application.
Diffusion, Transport and Water Absorption Properties of Eco-Friendly Polymer Composites
Authors: Calimli Mehmet Harbi , Balli Busra , Kuyuldar Esra , Sen Fatih
Published: August 2019

The availability of sustainable and environmentally friendly energy sources is one of the biggest challenges faced by scientists and engineering communities. First of all, the fossil fuels used to meet existing energy demands cause the depletion of resources, the increase of greenhouse gas emissions, and eventually destruction of nature. Polymers have many industrial application areas due to the ease of processing, the reasonable price and the ability to modify with the desired features. Biopolymers have become a focus of attention in terms of the polymer sector because biomass can be separated into harmless products such as CO2and H2O in the natural environment and can have sustainable resources. The studies on biomass and hydrogen fuel cells are more advantageous than other alternative and clean energy sources because they have the continuous energy supply, compact design, and wide application areas without being dependent on nature. In practice, the polymer electrolyte membrane fuel cells are pinched among the other fuel cells. For this purpose, in this chapter diffusion, transport and water absorption properties of eco-friendly polymer composites generally used are discussed.