bluuebunny/crossref_metadata_2025 huggingface dataset:
Methodologies of Legacy Clinical Decision Support System
Authors: Sharmi Meenakshi , Aggarwal Himanshu
Published: August 2019

Information technology playing a prominent role in the field of medical by incorporating the clinical decision support system (CDSS) in their routine practices. CDSS is a computer based interactive program to assist the physician to make the right decision at right time. Nowadays, clinical decision support systems are a dynamic research area in the field of computers, but the lack of understanding, as well as functions of the system, make adoption slow by physicians and patients. The literature review of this article focuses on the overview of legacy CDSS, the kind of methodologies and classifiers employed to prepare such a decision support system using a non-technical approach to the physician and the strategy-makers. This article provides understanding of the clinical decision support along with the gateway to physician, and to policy-makers to develop and deploy decision support systems as a healthcare service to make the quick, agile and right decision. Future directions to handle the uncertainties along with the challenges of clinical decision support systems are also enlightened in this study.
A Low Cost Pupillometry Approach
Authors: Petridis Sergios , Giannakopoulos Theodoros , Spyropoulos Constantine D.
Published: August 2019

The need for low-cost health monitoring is increasing with the continuous increase of the elderly population. In this context, unobtrusive audiovisual monitoring methods can be of great importance. More particularly, the diameter of the pupil is a valuable source of information, since, apart from pathological cases, it can reveal the emotional state, the fatigue and the ageing. To allow for unobtrusive monitoring to gain acceptance, one should seek for efficient methods of monitoring using common low-cost hardware. This paper describes a method for monitoring pupil sizes using a common, low-cost web camera in real time. The proposed approach detects the face and the eyes area at first stage. Subsequently, optimal iris and sclera location and radius, modeled as ellipses, are found using efficient spatial filtering. As a final step, the pupil center and radius is estimated by optimal filtering within the area of the iris. Experimental results show both the efficiency and the effectiveness of our approach.
Innovative Approach for Improving Intrusion Detection Using Genetic Algorithm with Layered Approach
Authors: Nema Aditi
Published: August 2019

The detection portion of Intrusion Detection System is the most complicated. The IDS goal is to make the network more secure, and the prevention portion of the IDS must accomplish that effort. After malicious or unwanted traffic is identified, using prevention techniques can stop it. When an IDS is placed in an inline configuration, all traffic must travel through an IDS sensor. In this paper the reduced the features and perform layered architecture for identify various attack (DoS, R2L, U2R, Probe) and show accuracy using SVM with genetic approach.
Novel Intrusion Detection Mechanism with Low Overhead for SCADA Systems
Authors: Maglaras Leandros , Janicke Helge , Jiang Jianmin , Crampton Andrew
Published: August 2019

SCADA (Supervisory Control and Data Acquisition) systems are a critical part of modern national critical infrastructure (CI) systems. Due to the rapid increase of sophisticated cyber threats with exponentially destructive effects, intrusion detection systems (IDS) must systematically evolve. Specific intrusion detection systems that reassure both high accuracy, low rate of false alarms and decreased overhead on the network traffic must be designed for SCADA systems. In this book chapter we present a novel IDS, namely K-OCSVM, that combines both the capability of detecting novel attacks with high accuracy, due to its core One-Class Support Vector Machine (OCSVM) classification mechanism and the ability to effectively distinguish real alarms from possible attacks under different circumstances, due to its internal recursive k-means clustering algorithm. The effectiveness of the proposed method is evaluated through extensive simulations that are conducted using realistic datasets extracted from small and medium sized HTB SCADA testbeds.
A Key Management Scheme for Secure Communications Based on Smart Grid Requirements (KMS-CL-SG)
Authors: Alohali Bashar , Kifayat Kashif , Shi Qi , Hurst William
Published: August 2019

Over the last decade, Internet of Things (IoTs) have brought radical changes to the means and forms of communication for monitoring and control of a large number of applications including Smart Grid (SG). Traditional energy networks have been modernized to SGs to boost the energy industry in the context of efficient and effective power management, performance, real-time control and information flow using two-way communication between utility provides and end-users. However, integrating two-way communication in SG comes at the cost of cyber security vulnerabilities and challenges. In the context of SG, node compromise is a severe security threat due to the fact that a compromised node can significantly impact the operations and security of the SG network. Therefore, in this chapter, Key Management Scheme for Communication Layer in the Smart Grid (KMS-CL-SG) has proposed. In order to achieve a secure end-to-end communication we assign a unique key to each node in the group.
Effective Integration of Reliable Routing Mechanism and Energy Efficient Node Placement Technique for Low Power IoT Networks
Authors: Sarwesh P. , Shet N. Shekar V. , Chandrasekaran K.
Published: August 2019

Internet of Things (IoT) is the emerging technology that links physical devices (sensor devices) with cyber systems and allows global sharing of information. In IoT applications, devices are operated by battery power and low power radio links, which are constrained by energy. In this paper, node placement technique and routing mechanism are effectively integrated in single network architecture to prolong the lifetime of IoT network. In proposed network architecture, sensor node and relay node are deployed, sensor nodes are responsible for collecting the environmental data and relay nodes are responsible for data aggregation and path computation. In node placement technique, densities of relay nodes are varied based on traffic area, to prevent energy hole problem. In routing technique, energy efficient and reliable path computation is done to reduce number of re transmissions. To adopt IoT scenario, we included IEEE 802.15.4 PHY/MAC radio and IPv6 packet structure in proposed network architecture. Proposed work result shows, proposed architecture prolongs network lifetime.
Data Mining Techniques for Distributed Denial of Service Attacks Detection in the Internet of Things
Authors: Machaka Pheeha , Nelwamondo Fulufhelo
Published: August 2019

This chapter reviews the evolution of the traditional internet into the Internet of Things (IoT). The characteristics and application of the IoT are also reviewed, together with its security concerns in terms of distributed denial of service attacks. The chapter further investigates the state-of-the-art in data mining techniques for Distributed Denial of Service (DDoS) attacks targeting the various infrastructures. The chapter explores the characteristics and pervasiveness of DDoS attacks. It also explores the motives, mechanisms and techniques used to execute a DDoS attack. The chapter further investigates the current data mining techniques that are used to combat and detect these attacks, their advantages and disadvantages are explored. Future direction of the research is also provided.
IoT Setup for Co-measurement of Water Level and Temperature
Authors: Das Gupta Sujaya , Zambare M.S. , Shaligram A.D.
Published: August 2019

Recent time has witnessed severe scarcity of water owing to deficient rainfall in India. The current climatic conditions in the country, project the rise in temperature and arid conditions contributing substantially towards the evaporation losses. In order to deal with the looming crisis, it is peremptory to minimize evaporation losses in the water bodies, at least measure them to get a fair idea and initiate corrective measures. This paper aims to develop a system for continuous monitoring of the water level as an indicator to the evaporation process. The system also indicates temperature of the water which influences the evaporation rate.
Data Mining Analytics for Crime Security Investigation and Intrusion Detection
Authors: Fessi Boutheina A. , Djemaiel Yacine , Boudriga Noureddine
Published: August 2019

This chapter provides a review about the usefulness of applying data mining techniques to detect intrusion within dynamic environments and its contribution in digital investigation. Numerous applications and models are described based on data mining analytics. The chapter addresses also different requirements that should be fulfilled to efficiently perform cyber-crime investigation based on data mining analytics. It states, at the end, future research directions related to cyber-crime investigation that could be investigated and presents new trends of data mining techniques that deal with big data to detect attacks.
Cryptomodules in Wireless Networks Using Biometric Authentication
Authors: Drahanský Martin , Hanáček Petr , Zbořil František , Henzl Martin , Zbořil František V. , Yim Jaegeol , Shim Kyubark
Published: August 2019

This chapter shows how cryptomodules can increase security of wireless sensor network and possibilities of biometric authentication against a node or the whole network. For secure operation of a wireless sensor network, security objectives such as confidentiality, integrity, and authentication must be implemented. These security objectives typically employ cryptography, therefore sensor nodes should be able to compute cryptographic algorithms and provide secure tamper-resistant storage for cryptographic keys. Use of dedicated secure hardware for this purpose and security threats are discussed. Two scenarios where the biometric authentication would be appreciated are introduced – smart home and storehouse with medicaments. Biometric generation of cryptographic keys, biometric authentication in wireless network and possible attacks on biometrics are presented. When designing and verifying communication protocols using informal techniques, some security errors may remain undetected. Formal verification methods that provide a systematic way of finding protocol flaws are discussed.
An Approach based on Social Bees for an Intrusion Detection System by Scenario
Authors: Lokbani Ahmed Chaouki , Lehireche Ahmed , Hamou Reda Mohamed , Boudia Mohamed Amine
Published: August 2019

The aim of the authors' work is to model the intrusion detection system by scenario with a bio-inspired method in this case the system of protection of social bees. The natural pattern of social bees produces security efficiency by its three filters. In this paper, the authors focus on scenario approach they chose as a strategy to intrusion odor recognition of bees. They propose a new philosophy based on limited responsibility for each agent. This proposition aims to better exploit the performance of their hardware, and to use intelligently a kddcup'99 corpus.
Cellular IoT for Mobile Autonomous Reporting in the Smart Grid
Authors: Goulart Ana E. , Sahu Abhijeet
Published: August 2019

Wireless access technologies are being embedded in utility meters, health devices, public safety systems, among others. These devices have low processing power and communicate at low data rates. New communication standards are being developed to support these machine-type communications (MTC), such as Cellular Internet of Things (CIoT), which is being developed by the third generation partnership project (3GPP). CIoT introduces cooperative ultra-narrow band (C-UNB) communications. It supports ad-hoc uplink transmissions, delay-tolerant downlink transmissions, and a simple authentication scheme. The C-UNB approach is proposed for Mobile Autonomous Reporting (MAR) applications, but it is not clear if it can be used for smart grid systems, such as sensors and smart meters in the Advanced Metering Infrastructure (AMI). In this paper, the authors review the C-UNB approach, study its performance in terms of collision rate and throughput, and discuss its potential for smart grid reporting applications.
An Approach to Data Annotation for Internet of Things
Authors: Atanasov Ivaylo , Nikolov Anastas , Pencheva Evelina , Dimova Rozalina , Ivanov Martin
Published: August 2019

The increasing number of connected devices which use Internet of Things (IoT) technology and variety of associated services is a real challenge to interoperability. There is a need of an abstraction layer which hides the technology heterogeneity. The paper presents an approach to data modeling in the domain of home energy saving which extends existing solutions with context-ware concepts and relationships. Requirements to data annotation are identified by use cases. Problem-solving principle is applied to data annotation which defines the vocabulary related to a certain task or activities. An observation and actuation models which show how data annotation works are proposed and formally verified. As a proof of concept, the server model includes web services that illustrate the usage of the proposed data annotation. The potential of home appliance power control is estimated.
Semantic Approach to Opening Museum Collections of Everyday Life History for Services in Internet of Things Environments
Authors: Petrina Oksana B. , Korzun Dmitry G. , Volokhova Valentina V. , Yalovitsyna Svetlana E. , Varfolomeyev Aleksey G.
Published: August 2019

Technologies of the Internet of Things (IoT) and of smart spaces support creating smart museums based on digitized infrastructures and information systems already deployed in modern museums. Cultural heritage knowledge in such a museum is used by interested visitors as well as by personnel. This work continues the authors' research on the smart museum concept and its case study of everyday life history in the History Museum of Petrozavodsk State University (PetrSU). The authors develop an ontological model for the needs of studying the everyday life history. The ontology supports integrating descriptions of collected exhibits into a semantic network, where the links reflect meaningful relations between exhibits and other historical objects. They apply the wiki technology within the smart spaces-based architecture of a smart museum. The wiki implements an ontology-enabled system that experts use to extract and represent knowledge hidden in the museum collection. The authors discuss possible semantic algorithms for data mining in the museum semantic network.
IoT Based Agriculture as a Cloud and Big Data Service
Authors: Gill Sukhpal Singh , Chana Inderveer , Buyya Rajkumar
Published: August 2019

Cloud computing has transpired as a new model for managing and delivering applications as services efficiently. Convergence of cloud computing with technologies such as wireless sensor networking, Internet of Things (IoT) and Big Data analytics offers new applications' of cloud services. This paper proposes a cloud-based autonomic information system for delivering Agriculture-as-a-Service (AaaS) through the use of cloud and big data technologies. The proposed system gathers information from various users through preconfigured devices and IoT sensors and processes it in cloud using big data analytics and provides the required information to users automatically. The performance of the proposed system has been evaluated in Cloud environment and experimental results show that the proposed system offers better service and the Quality of Service (QoS) is also better in terms of QoS parameters.
The Internet of Things (IoT)
Authors: Lee In
Published: August 2019

As the Internet of Things (IoT) opens up new business opportunities, firms are trying to understand the impacts of the IoT revolution on their supply chain. Despite the tremendous interest by supply chain managers to leverage the IoT, there are still a paucity of studies that integrate the management side of supply chain with the technical side of the IoT. This chapter attempts to fill the current gap in research. This chapter discusses capabilities of the IoT-based supply chain applications. Then, it presents a conceptual framework of the IoT applications essential for smart supply chain. Finally, this chapter discusses technical and managerial challenges faced by supply chain managers in implementing the IoT.
Malicious Data Stream Identification to Improve the Resource Elasticity of Handheld Edge Computing System
Authors: Rajaguru D.  , Puviyarasi T.  , Vengattaraman T.
Published: August 2019

This article lights the need for the identification of resource elasticity in handheld edge computing systems and its related issues. Under a few developing application situations, for example, in urban areas, operational checking of huge foundations, wearable help, and the Internet of Things, nonstop information streams must be prepared under short postponements. A few arrangements, including various programming motors, have been created for handling unbounded information streams in an adaptive and productive way. As of late, designs have been proposed to utilize edge processing for information stream handling. This article reviews the cutting-edge stream preparing motors and systems for misusing asset versatility which highlights distributed computing in stream preparation. Asset flexibility takes into consideration an application or administration to scale out/in as per fluctuating requests. Flexibility turns out to be much more difficult in conveyed conditions involving edge and distributed computing assets. Device security is one of the real difficulties for fruitful execution of the Internet of Things and fog figuring conditions in the current IT space. Specialists and information technology (IT) associations have investigated numerous answers for shield frameworks from unauthenticated device assaults. Fog registering utilizes organize devices (e.g. switch, switch and center) for dormancy mindful handling of gathered information utilizing IoT. This article concludes with the various process for improvising the resource elasticity of handheld devices for leading the communication to the next stage of computing.
A Literature Review of the Emerging Field of IoT Using RFID and Its Applications in Supply Chain Management
Authors: Naskar Suvendu , Basu Preetam , Sen Anup K.
Published: August 2019

The Internet of Things (IoT) envisions an ecosystem where smart and interconnected objects can sense surrounding changes, communicate with each other, process information and take active roles in decision making. Optimizing supply chain performance is a primary concern of manufacturing and logistics organizations. Radio Frequency Identification (RFID) is helping organizations to build automated and interconnected smart environment by object identification and tracking, motivating the first step towards an IoT-enabled world. This chapter attempts to understand extant literature studying applications of RFID in implementing the IoT in supply chain management. We categorize extant literature, firstly, based on research methodology and secondly, based on supply chain processes. We find that presently academic activity is around conceptualizing the usability of RFID in the IoT with limited analytical and empirical evidence. Supply chain processes such as demand planning, procurement, retail shelf space management and product returns are prospective areas for interesting future research.
Incorporating Spatial Queries into Semantic Sensor Streams on the Internet of Things
Authors: Eom Sungkwang , Lee Kyong-Ho
Published: August 2019

In the Internet of Things (IoT) environment, the use of sensors and sensor readings is significant in research and industry. The number of sensors is increasing exponentially, adding a tremendous amount of data to the Web. Therefore, the efficient management of sensors and observation data is becoming important. Especially, the location and time of observations are expected to play a vital role in IoT. However, existing researches mainly focus on the temporal properties of data stream. It is necessary to consider the spatial features in addition to the temporal ones. In this article, the authors propose a spatiotemporal query language which integrates spatial and temporal features. Also, they propose an efficient method of building a spatiotemporal index and processing the proposed query language. To evaluate the proposed method, the authors conduct experiments through implementation. The experimental results show that the proposed method deals with spatiotemporal queries within a reasonable time.
The Blockchain Technology
Authors: Ben Ayed Ahmed , Belhajji Mohamed Amine
Published: August 2019

This article describes how Blockchain is a technology that has a great potential to change the way business is done in the future, exactly like the internet did in the early nineties. Blockchain offers new opportunities to develop new types of digital services to overcome business problems, and improve business practices by making transaction information a public resource. While research on the topic is still emerging, it has mostly focused on crypto-currencies instead of taking advantage of this novel concept to create new advanced services. This article discusses blockchain and the technology behind it, some of its possible applications, as well as threats targeting the new poorly understood technology.
Climate-Smart Agriculture Policy and (In)Justice for Smallholders in Developing Countries
Authors: Budiman Ibnu
Published: August 2019

This chapter analyzes whether the current policy for climate-smart agriculture meets the demands of climate justice and respects the rights of smallholders, and if not, how it should be amended. The study is based on a literature review and several interviews with climate-smart agriculture actors from diverse backgrounds: (1) consultant or practitioner, (2) farmer, (3) business or entrepreneur, (4) scientist. To examine the climate-smart agriculture concept and its implementation, the following ethical positions are mainly considered: (1) maximalist, (2) minimalist, (3) Pogge´s intermediate position, (4) Nussbaum's capability approach, (5) Kantian, (t) altruism. This study found that the current climate-smart agriculture approaches are not fairly implemented, due to the unjust sharing of benefits of income and burdens of emission reduction costs, among smallholders and big industries. According to the principles of climate justice, this sharing proportion should be equally distributed based on an individual's capacities and poverty should also be taken into consideration.
A Review on Impact of Changing Climate on Sustainable Food Consumption
Authors: Gbadegesin Tosin Kolajo
Published: August 2019

Food security is of great importance in the politics of sustainable consumption and production (SCP) because of its implication on environment and people. The changing climate is adding to world resource problems such as food security, water scarcity, pollution, soil degradation, etc. Greenhouse gas (GHG) emissions and land use demand by agriculture has continued to influence what people quantity and quality of available food. This review used resources from all relevant literatures to examine impact of changing climate on sustainable food consumption by identifying effect of changing climate on nutrition, food production, and food consumption, and provides recommendations on sustainable food consumption measures. The review is of the opinion that food consumption patterns are changing in the face of population growth, economic development, and environmental challenges. Such shifts place increased pressure on already depleted natural resources due to the resource-intensive production and transportation requirements of these products.
Healthcare Service, Food Security, and Sustainable Development
Authors: Luong Hai Thanh
Published: August 2019

This chapter aims to analyze discrimination and disadvantage of local farmers in the process of opium eradication in Myanmar based on their specific explanations. The author utilizes some data and information collected from official reports and statements of the Myanmar Opium Farmers' Forum (2013-2018). Some multiple sources from inside and outside Myanmar in terms of human rights of ethnic minorities' opium farmers are also added. The current findings point out that there are a number of concerns and disadvantages with local opium farmers to look for survival livelihood, food security, and sustainable development in ethnic minorities' communities in Myanmar, particularly at Shan and Kachin States. The chapter also calls for further researches with specific recommendations and effective solutions for local opium farmers in the next stages.
Willingness to Pay for Certified Safer Pork and Implications for Sustainable Consumption
Authors: Khai Huynh Viet , Duyen Tran Thi Thu , Xuan Huynh Thi Dan
Published: August 2019

This chapter applied the approach of contingent valuation method to analyze consumers' willingness to pay for proposed safe pork. The data was collected by face-to-face interview with 884 urban households in the Vietnamese Mekong Delta. The results revealed that the majority of consumers (about 64%) paid attention to the proposed safe pork. Their willingness to pay was about VND 176,000 ($ 7.65) per kg, nearly double compared to the market price of conventional pork. Consumers who had higher household income, the elderly and children in family, paid higher price of a conventional pork, and more knowledge on the safe pork tended to buy, while those who have more family members are less likely to pay for the proposed safe pork.
Would You Accept a Facebook Friend Request from Your Boss?
Authors: Karl Katherine A. , Allen Richard S. , White Charles S. , Peluchette Joy Van Eck , Allen Douglas E.
Published: August 2019

Because Millennials and Generation X tend to desire close relationships with their leaders, expect frequent and open communication, and integrate their personal and professional contacts via social media, it was predicted they would be more likely than Baby Boomers to accept a Facebook friend request from their boss. Although no main effect was found for generational differences, a significant interaction between self-disclosure and generation was found, such that self-disclosure was positively related to acceptance of a friend request from one's boss for Baby Boomers and Generation X, but negatively related for Millennials. Implications and directions for future research are discussed.
Application of Meta-Heuristic Optimization Techniques for Design Optimization of a Robotic Gripper
Authors: Mahanta Golak Bihari , Rout Amruta , Deepak BBVL  , Biswal Bibhuti Bhusan
Published: August 2019

Robotic grippers play a key player in the industrial robotics application such as pick and place, and assembly. In this article, geometric modeling of a robotic gripper is proposed and a plan is outlined to obtain optimized design parameters of the robotic gripper using various meta-heuristics techniques. The proposed system was solved in two-step methodology as geometric modeling followed by the formulation of objective functions. The developed two objective functions of the robotic gripper are complex and act as the multi-objective constraint optimization problem. Seven decision variables are chosen to develop the geometric model, and the proposed objective function for the robotic gripper is solved using different metaheuristic techniques such as ABC, FA, TLBO, ACO, and PSO algorithm. A statistical study conducted considering the 100 independent run for all the algorithms.
Comparative Performance Evaluation of Fractional Order PID Controller for Heat Flow System Using Evolutionary Algorithms
Authors: Pradhan Rosy , Pati Bibhuti Bhusan
Published: August 2019

The main objective of the paper is to design of Fractional order PID (FOPID) controller for heat flow system using evolutionary algorithms. The recent developed metaheuristic algorithms such as Ant Lion Optimizer (ALO), Grey Wolf Optimizer (GWO) and Moth Flame Optimizer (MFO) are used in the FOPID design. The FOPID design for heat flow system is formulated as an optimization problem to minimize different indices error such as Integral Absolute Error (IAE), Integral Squared Error (ISE), Integral Time Absolute Error (ITAE), Integral Time Squared Error (ITSE). The evolutionary algorithm based FOPID control performances are compared with PID control performance for the heat flow system. In addition, the proposed methods have superiority value in terms of transient and frequency domain analysis than the traditional and PID methods. Comparative performance evaluation of meta-heuristic based FOPID design for heat flow system has not carried out before.
Social, Environmental and Economic Impacts of Adopting Clean Energy Use
Authors: Razi Muhammad , Ali Yousaf
Published: August 2019

These days, the excessive industrialization, elevated levels of pollution, and the increased energy crisis has led nations towards the use of renewable energy sources. Through the use of renewable energy sources, global warming can also be decreased, which is currently the biggest environmental issue worldwide. Pakistan, being a developing country, relies on the use of fossil fuels for the generation of electricity. The alarming increase in population, energy consumption per capita and energy wastages lead to a shortfall. To resolve this crucial issue, the alternative solutions considered include the use of renewable sources of energy such as hydro, solar and wind. The use of these renewable energy sources is governed by various environmental, economic and social parameters. The influence of these parameters on the use of renewable energy sources is studied through the use of DEMATEL and revised DEMATEL techniques.
Analysis of Micro-EDM Process of D3 Die-Steel Employing NaNO3 Mixed Deionised Water-An Optimal Approach
Authors: Kibria Golam , Shivakoti Ishwer , Pradhan B.B.
Published: August 2019

In micro-electrical discharge machining, the selection of proper dielectric fluid is one of the important issues regarding the machining rate, geometrical accuracy, as well as surface profiles obtained. Each type of dielectric fluid has their own values of viscosity, flash point, cooling rate and compositions. In addition, depending on the resistivity and other characteristics, dielectric fluid has its own value of dielectric strength. In the present article, an attempt has been made to carryout experimentation during micro-EDM process of D3 die-steel employing NaNO3 salt mixed deionised water. Taguchi-GRA (gray relational analysis) based experimental scheme and optimization technique has been applied to analyze the process parameters to optimize the material removal rate, tool wear rate, overcut and taper of micro-hole generated. Optical microscopic images were also analysed for qualitative assessment of process parameters.
The Vitality of Price Comparison and Product Display for Assortment Satisfaction
Authors: Verma Pranay
Published: August 2019

The objective of this study is to examine factors that influence Indian consumer's assortment satisfaction towards the online purchase of footwear. A questionnaire was used to collect data using stratified sampling from different online shoppers. Structural equation modeling showed a significant impact of product display and price comparison on assortment satisfaction. Arguably, this is the first article which shows a linkage between product display and price comparison on assortment satisfaction for online footwear purchases. Further, a moderation of income and gender upon the two independent variables was studied using hierarchical regression method. Gender along with gender and income interaction with price comparison moderates assortment satisfaction.
Factors Influencing Consumers' Purchase Intentions Towards Made-to-Order Tea Drinks in China
Authors: Wang Zixuan Ricky , Marjerison Rob Kim
Published: August 2019

This article aims to identify and assess the factors influencing consumers' purchase intentions towards made-to-order (MTO) tea drinks. The made-to-order milk tea drink industry in China has generated over USD 14bn in revenue in 2018. The size of the market, the nature of the preparation and delivery to consumers, combine to create opportunities for individuals, entrepreneurs, investors, etc. Relatively little is known about the drivers of purchase intentions for MTO milk tea drink consumers. For the purposes of this research, the various options that influence purchasing of tea drinks among Chinese consumers were classified into 10 factors, and data was collected through online surveys. The results indicate the extent to which Chinese consumers' purchase intentions are influenced by consumers' age, price of the drink, pursuit of a pleasant state of mind, quest for social network interaction, search for novel experiences, and concern for health.
e-HRM in a Cloud Environment
Authors: Ziebell Robert-Christian , Albors-Garrigos Jose , Schoeneberg Klaus-Peter , Marin Maria Rosario Perello
Published: August 2019

As the digitization of HR processes in companies continues to increase, at the same time, the underlying technical basis is also developing at a rapid pace. Electronic human resources (e-HRM) solutions are used to map a variety of HR processes. However, the introduction of such systems has various consequences, which are not only technical but also imply organizational and functional changes within the organization. Additionally, the cloud environment contributes to enhancing e-HRM capabilities and introduces new factors in its adoption. A systematic review of the available literature on the different dimensions of electronic resources management was conducted to assess the current state of research in this field. This review includes topics such as the evolution of e-HRM, its practical application, use of technology, implementation as well as HR analytics. By identifying and reviewing articles under e-HRM, IT technology, and HR journals, it was possible to identify relevant controversial themes and gaps as well as limitations.
A Novel Approach of Cloud Based Scheduling Using Deep-Learning Approach in E-Commerce Domain
Authors: Rangra Abhilasha , Sehgal Vivek Kumar , Shukla Shailendra
Published: August 2019

Cloud computing represents a new era of using high quality and a lesser quantity of resources in a number of premises. In cloud computing, especially infrastructure base resources (IAAS), cost denotes an important factor from the service provider. So, cost reduction is the major challenge but at the same time, the cost reduction increases the time which affects the quality of the service provider. This challenge in depth is related to the balance between time and cost resulting in a complex decision-based problem. This analysis helps in motivating the use of learning approaches. In this article, the proposed multi-tasking convolution neural network (M-CNN) is used which provides learning of task-based deadline and cost. Further, provides a decision for the process of task scheduling. The experimental analysis uses two types of dataset. One is the tweets and the other is Genome workflow and the comparison of the method proposed has been done with the use of distinct approaches such as PSO and PSO-GA. Simulated results show significant improvement in the use of both the data sets.
African Buffalo Optimization for One Dimensional Bin Packing Problem
Authors: Gherboudj Amira
Published: August 2019

African Buffalo Optimization (ABO) is one of the most recent bioinspired metaheuristics based on swarm intelligence. It is inspired by the buffalo's behavior and lifestyle. ABO Metaheuristic showed its effectiveness for solving several optimization problems. In this contribution, we present an adaptive ABO for solving the NP-hard one dimensional Bin Packing Problem (1BPP). In the proposed algorithm, we used the ABO algorithm in combination with Ranked Order Value method to obtain discrete values and Bin Packing Problem heuristics to incorporate the problem knowledge. The proposed algorithm is used to solve 1210 of 1BPP instances. The obtained results are compared with those found by recent algorithms in the literature. Computational results show the effectiveness of the proposed algorithm and its ability to achieve best and promising solutions.
Diffusion of Multiwall Carbon Nanotubes into Industrial Polymers
Authors: Kumar Ponnusamy Senthil , Saravanan A.
Published: August 2019

Carbon nanotubes (CNTs) are made out of carbon atoms connected in hexagonal shapes, with every carbon molecule covalently attached to three other carbon particles. The properties of nanotubes have made scientists and organizations think about utilizing them in many fields. For instance, since carbon nanotubes have the most noteworthy quality to-weight proportion of any known material. Nanocomposites of adjusted multi walled carbon nanotubes (MWCNTs) installed in a polymer matrix yield a one of a kind mix of warm and electrical properties and mechanical quality. The composites combine the vast pseudo capacitance of the directing polymers with the quick charging/releasing two-fold film impedance and incredible machine-driven possessions of the carbon nanotubes. The electrochemically co-stored composites are the most homogeneous and demonstrate an unordinary communication between the polymer and nanotubes, offering ascend to a reinforced electron delocalisation and conjugation along the polymer chains
Ceramic Composites for Aerospace Applications
Authors: Bhasha  , Gautam Sanjeev , Malik Parul , Jain Purnima
Published: August 2019

Ceramic composites is playing crucial role to accomplish highly efficiently and cost effective equipment for aerospace industry. The instigation of ceramics into aircraft industry is a promising step towards virtuous future. Ceramics has a key role in innovation of highly competent material for space travel which is highly economical and environmentally sustainable. Advancement in making fuel efficient engines are necessity in present scenario due to the harmful emissions releases in the environment by burning of fuel to power up engine. The high temperature application of composites makes it very attractive for aerospace applications. This light weight material has potential to thrust spacecraft upto ten times quicker with the identical fuel consumption, therefore significantly depreciating size of vehicle and increasing travel distance. The implementation of ceramics into jet engines and turbines increase the efficiency of engine due to its lighter weight and better thermal capabilities. A jet engine employing ceramic composites has manifest 15% more fuel saving when compared to the simple nickel based alloys. Hence, ceramic composites can replace nickel based alloys which has been a promising candidate for the engines of commercial aircrafts. Some disadvantages has been also discussed that is brittle failure and limited thermal and shock resistance.
Surface Activation of Carbon and Glass Fibers
Authors: Beev Aues A. , Khashirova S.Yu. , Slonov Azamat L. , Musov Ismel V. , Beeva D.A. , Vindizheva Amina
Published: August 2019

The paper presents the results of studies on the activation of the surface of carbon and glass fibers by thermal and chemical treatment with acids and mixtures of acids. Carbon and glass fibers with an activated surface are of practical interest for the production of polymer composite materials with high thermal, physical and mechanical characteristics.
Aromatic Polyetherketones - Synthesis and Properties
Authors: Sultygova Z.Kh. , Martazanov A.M. , Inarkieva Z.I. , Bazheva R.Ch. , Kharaev A.M. , Pashtova L.R.
Published: August 2019

Copolyether ketones based on 4,4′-dioxydiphenylpropane and n-dihydroxybenzene were synthesized with 4,4′-difluorodiphenyl ketone by high-temperature polycondensation in diphenylsulfone. The structure and structures of the synthesized polymers are studied. The method of IR spectroscopy proved the formation of copolymers of a given structure.
Using Zinc Borate as Effective Flame Retardant
Authors: Sultygova Z.Kh. , Kitieva L.I. , Borukaev Timur A.
Published: August 2019

A directed synthesis of zinc borate was carried out in order to obtain a product with a specific chemical composition and specified characteristics, which was used as a flame retardant for the polymer. It was found that the introduction of the obtained zinc borate into high-density polyethylene leads to a significant increase in the fire resistance of the starting polymer. It is shown that the deformation-strength properties of high-density polyethylene do not deteriorate with the introduction of zinc borate, but remain at the level of the original polymer.
Research of the Impact of Catalysts, Temperature and Pressure on Polyphenylenesulfide Synthesis
Authors: Mamkhegov Rustam M. , Murzakanova Marina M. , Dzhandigova Z.V. , Murzamuratova L.S. , Tsurova A.T. , Khashirova S.Yu.
Published: August 2019

The synthesis of polyphenylene sulfide by nucleophilic substitution of 1,4-dichlorobenzene and sodium sulfide nine-water sulfide with varying temperature, pressure and catalysts was investigated. It is shown that lithium oxalate is the most effective among lithium catalysts. The promise of montmorillonite as a catalyst in the synthesis of polyphenylene sulfides was revealed.
Oil and Petrol Resistant Thermoplastic Vulcanizations Based on ABS-Plastic Mixture with Copolymer Butadiene and Acrylonitrile
Authors: Nasertdinova Alsou D. , Dementev A.D. , Khusainov A.D. , Volfson Svetoslav Isaakovich
Published: August 2019

The effect of the type and dosage of sulfur and resin (alkyl phenol formaldehyde resin grade SP - 1045) vulcanizing systems on the oil and petrol resistance and elastic strength properties of thermoplastic vulcanizates (TPV) obtained on the basis of nitrile-butadiene rubber and ABS-plastic, with a ratio of 70/30 respectively has been studied. In the course of studies of vulcanization characteristics, it was found that with an increase in the content of the vulcanizing system, the rate of vulcanization increases both during the vulcanization of rubber compounds and during dynamic vulcanization. The physic-mechanical properties of the TPV obtained indicate that with a fascination for the content of the vulcanizing system, the elastic-strength properties and the oil and petrol resistance of the TPV are also increased.
Adhesive Joints of Heterogeneous Materials in Protective Wares
Authors: Meteleva Olga V. , Surikova M. , Bondarenko L.
Published: August 2019

Different materials are often combined in protective sewing goods. Multifunctional adhesive film material for adhesive joints of protective materials is created. The results of experimental estimate of adhesive joint physic-mechanical properties of materials with heterogeneous properties are represented. Adhesive-bonded joints of goods for personal protection are investigated.
Effect of Chain Microstructure and Subphase pH on the Surface Properties and Aggregation Behavior of Amphiphilic Copolymers Based on Fluoroacrylates
Authors: Grigoreva Alexandra O. , Polozov E.Y. , Zaitsev S.D.
Published: August 2019

Copolymerization of 2,2,3,3,4,4,5,5-octafluoropentyl acrylate (OFPA) and acrylic acid (AA), OFPA and tert-butyl acrylate (t-BA) in presence ofdibenzylcarbonotrithioate (BTC) and polymeric RAFT-agents was studied, reactivity ratios were calculated. It was shown that type of RAFT-agent can influence on chain microstructure of obtained polymers. Aggregation behavior of obtained amphiphilic copolymers with different microstructures at the air/water interface was characterized by the Langmuir monolayer technique. The effect of the microstructureand subphase pH on the isotherm curves were shown.
Coating of NPK Fertiliser with Astarch-Based Biodegradable Polymer by Using a V-Star Reactor
Authors: Bamatov I.M. , Sapaev Kh.Kh. , Rumyantsev E.V.
Published: August 2019

Mineral fertilisers such as nitrous, phosphorous and potassium (NPK –usually called macro elements) are one of the most significant products in agricultural industry. By providing nutrients to the plants, they play an important role in the process of regulating the acidity (pH) and the fertility of the soil and all it leads to increase the crops growth [6].
Preparation of Hybrid Polymer-Inorganic Chelators Based on Pectin and Montmorillonite
Authors: Koksharov Sergey A. , Aleeva S.V. , Lepilova O.V.
Published: August 2019

Polymer-inorganic composites were obtained from montmorillonite and three types of pectin (sugar beet, citrus and nettle). The parameters of particle size, a distance between clay layers and the pore structure and also sorption capacity of composites to ions of Zn (II) and Cu (II) and the methylene blue dye were analyzed. The effect of the chemical structure of pectin to the properties of composite materials was shown.
Investigation of Carbon Fiber/Polyphenylenesulfone Composites by Method of X-Ray Photoelectron Spectroscopy
Authors: Kalazhokov Z.K. , Naumkin A.V. , Zhansitov Azamat , Khashirova S.Yu. , Kalazhokov K.H. , Karamurzov B.S.
Published: August 2019

The surfaces of polyphenylenesulfone samples with the addition of carbon fibers were studied by X-ray photoelectron and Auger-electron spectroscopy. The state of carbon atoms on the surface, the electronic structure, and the distribution of carbon fibers in the surface region as a function of the concentration of the additive were studied. It is shown that with 10 mass. % carbon fiber addition, the transformation of peaks is mainly associated with an increase in the number of carboxyl groups in the matrix, while with a carbon content exceeding 10 mass. %, the increasing role of differential vertical charging becomes the dominant factor. A further increase in the carbon fiber concentration leads to an increase in the conductivity of the bulk part and, consequently, to a decrease in the charge layer without carbon fiber, and therefore, to a decrease in the broadening effect of the C 1s carbon peak.
Thermal Oxidative Stability, Physico-Mechanical and Rheological Properties of Composite Materials Based on Polyetherimide
Authors: Shabaev A.S. , Rzhevskaya Elena V. , Khakulova D.M. , Khashirova S.Yu. , Tkhakakhov R.B.
Published: August 2019

Thermal oxidative stability of polyetherimide-based composite materials at processing temperatures was investigated using gas chromatography. The dependence of physico-mechanical and rheological properties on the composition of composites is established.
Synthesis of Furanic Polyamides and Composite Coatings from Plant Biomass
Authors: Klushin V.A. , Chus U.A. , Smirnova Nina
Published: August 2019

We report, for the first time, the synthesis of polyamide composite coating based on renewable plant biomass sources. 2,5-furandicarboxylic acid (FDCA) was prepared by catalytic oxidation of 5-hydroxymethylfurfural (HMF) obtained by plant biomass conversion. FDCA was used in the synthesis of aliphatic and aromatic furanic polyamides. Two approaches to furanic PAs synthesis have been investigated: (i) synthesis of hexamethylenediamine furanoate salt and its subsequent polycondensation; (ii) synthesis of FDCA dichloride and its subsequent polycondensation in a two-phase aqueous-organic system. The effect of the nature of organic solvent (tetraclormetan, dichloromethane, N-methyl-2-pyrrolidone) and the nature of diamine (hexamethylenediamine and paraphenylenediamine) on the yield and molecular weight of furanic polyamide was studied. The synthesized aliphatic polyamide was used for enamel fabrication. Colloidal graphite and activated carbon obtained from the waste of biomass conversion into HMF were used as fillers. The furanic PA composite coatings on steel provide the lower coefficient of friction and lower wear compared with that of commercial polyamide (PA6) coatings and can be considered as novel promising anti-friction coating materials.