Conference Proceeding - International Conference on Social Impact of Internet of Things (IoT) 24th August 2018
Volume 5 | Issue 3

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Demand Planning,Supply Chain Management,Demand Volatility, Supply Chain Agility.

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Investment is one of the major issues of middleclass families as their small savings of today are to meet the expenses of tomorrow. This study examines the investment pattern and awareness of the middle class families in Bengaluru about different investment instruments such as Bank deposits, real estate, small savings, life insurance schemes, bullion, commercial deposits, mutual funds and equity. The rationale behind choosing this research topic is the premise that the middle class in India has gained considerable attention of economists, policy makers and market participants, as still there remains a considerable untapped potential in this income class in India. The Study was based on the micro economic approach of estimating the responses of the respondents belonging to the middle class families in Bengaluru. The study analyses the savings and investment pattern among the middle class people of Bengaluru city. The data was collected by distributing a structured questionnaire to a hundred people belonging to middle class families in Bengaluru city.

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Savings, Investment, Middle Class,

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: The Textile industry is a long chain including raw materials production, complement production, clothing production and so on. SCM concept is made possible as a conventional management tool for all manufactures are to strive to improve their product quality, to reduce their product and service cost and to shorten their product delivery and response time in a highly competitive market.. Modern SCM concept comprises of a variety of activities, namely inbound and outbound transportation management, warehousing, materials handling, order fulfillment, network design, inventory management, supply/demand planning, customer service, sourcing and procurement, packaging, and management of IT support towards diverse functional areas. India is becoming a global manufacturing hub in textiles. Increasing demand in domestic and international markets is opening a new world of opportunities for the Indian Industry especially from Tirupur region of Tamilnadu.

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Textile industry Supply Chain Management, Global manufacturing, Indian manufacturers.

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: IoT, Disability, Sensory disability, Physical disability,RFID

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Mobile phones are used everywhere in this modern world. The technological advancement has made everything possible under one touch. By using the applications installed in the mobile phones the users can pay any bills and transact their money to anyone at their convenience. Increase in use of mobile phones and internet is the main reason for mobile wallet penetration. This study was carried out to find out the factors that affects consumers preference towards mobile wallet. Using a structured questionnaire primary data was collected from 100 respondents. ANOVA and frequency analysis were used to find out the factor that affects consumer preference and Impact of demographic factors on consumer preference towards mobile wallet were also analyzed.

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Keywords: Mobile wallet, Digital Payment, Consumer preference

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The purpose of the study reported here was to explore cross-cultural training programs and expatriate adjustment effectiveness that increase effective cross-cultural interaction. Effective cross-cultural training increases trainees' knowledge, encourages them to see the personal and organizational benefits of cultural diversity and cross-cultural competence, and increases their skill and capacity to work with cultural diversity. Cross-cultural training is an effective strategy in the achievement of organizational performance targets and multicultural policy objectives. Addressing the identified limitations of current practice in CCT will increase its contribution to the development and enhancement of organizational and individual cultural competence. Moreover, developing cross-cultural training programs could add value to the firm and its people. Following the discussed about cultural competence, models and implementing training programme steps and finally discussed about conclusion of effectiveness of training programme.

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cultural,models

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: Cities are emerging and evolving at the very time that technologies are growing in our life they are connecting us with urban infrastructure management. The task of our Government is novel, daring and inventiveness. Although concept of smart cities emerged from various sectors, Internet of Things, it is a central feature of smart city models. Smart cities include not only economical business but also academics and charitable (philanthropic) organizations. Academics attracted by technological applications and they are able to sense and track the human use. Philanthropic witness solutions to the urban evils with humanity, justice, value-added quality of life and empowerment of citizen. An important view of the list of smart cities is personalized nature of their methodology. This paper implicates about more interesting features and evolving of smart city concept along with the use of IOT in smart cities.

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Empowerment, infrastructure, inventiveness, IOT, novel, philanthropic, personalized, smart city, urban

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classification, disease prediction, voting system, accuracy.

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IoT, Security Algorithms, IoT Applications, RFID, Encryption

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Data Mining Lung Carcinoma, Iterative optimizer , MLP, IMLP.

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iot,,security

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: Big data is huge volumes of structured and unstructured data that is very difficult to process this data using traditional databases . The organisation contains huge data storage, data delivery on semi-trusted big data platform. It increases the expenditure. An enterprise can acquire enormous amount of sensitive data by storing , analysing , processing these data. Logging, vulnerability and encryption are essential to keep sensitive secure in computerized world. It decreases the costs of enterprises for users to provide value added data and personalized services. It becomes essential to give the security in big data platform. Customers are looking at the field level of encryption, tokenization, and anonymization technologies to secure the information. This conceptual presents a system to share the sensitive data on a big data platform utilizing effective encryption algorithm. We process identity-based conditional proxy encryption (IBCPRE) based on heterogeneous ciper text transformation technique to guarantee the security of big data in cloud. However, the concept updating has always been a challenging problem when (IBCPRE) is used to establish the access control strategy. It also gives security to share the sensitive data.

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Sensitive data, Secure sharing, big data, identity-based conditional proxy re-encryption

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Wireless sensor and actuator networks are potentially useful building blocks for cyber-physical systems. It must typically guarantee high-confidence operation and makes strong requirements of building blocks. Here, the requirement of dependability means resistance against both accidental failures and intentional attacks. It should be addressed at all layers of the network architecture, including the networking protocols and the distributed services built on top of them, as well as the hardware and software architecture of the sensor and actuator nodes themselves. In this paper, we focus on the security aspects of aggregator node election and data aggregation protocols in wireless sensor networks (WSN).

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vehicular networks, communication, announFirst, aggregator, cluster and protocols.

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Big data, Security, Privacy, Public key infrastructure (PKI), Electronic Medical Record (EMR), Electronic Healthcare Record (EHR), Medical Big Data (MBD), Decoy Medical Big Data (DMBD), Original Medical Big Data (OMBD

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Cryptocurrency is a virtual form of currency which is used as a medium to exchange. Cryptocurrency is not accepted in all the countries. The rules and regulations of using it varies from country to country. Few countries even consider it illegal. Cryptocurrency are not only used for transaction but they can also be used as an investment. Since it is done through the internet there is a high risk. This research paper would give a brief knowledge of what is Cryptocurrency, its uses and its Types. It also clearly states the legal aspects of Cryptocurrency India.

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Cryptocurrency, Investment, Bitcoin

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Internet of Things (IoT) has become popular in all industries. Uses of IoT and its benefits have been eye-appealing in industry and commerce. Along with many other sectors of the economy, the revolutionary effect of IoT is having an intense effect on logistic industry as well. IoT application will introduce different promising concept and design for innovation in supply chain and logistics. The IoT in Logistics with greater accuracy of execution can be achieved with minimal efforts and new possible roles will be opened for logistics operators to produces the goods with less cost. The IoT will have greater impact on various areas such as operational efficiency, safety and security, customer experience, and new business models in logistics. This paper mainly focused on the topic application and benefits of IoT on logistics industry. Moreover, this paper will describe the application and efficiency gains in the IoT applications. Finally, we will conclude this paper with next steps and future works planned for IoT to become a reality.

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IoT, Fleet Management, Warehouse Management, Asset Tracking

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Modern Technological World environment surrounded by growth of Telecommunications broadband connections or LAN connections called Internet connects billions of people. The internet has made financial products and services available to more customers and eliminated geographical barriers. Earlier investors were dependent on their brokers or financial consultants but nowadays they are participating more in buying and selling of shares with the help of internet. E-trading is the alternative solution for Traditional trading policies in India where scams had happened like Harshad Mehta case. Thus now Online Trading in India is one of the reasons for biggest Market Trading boom in financial services sector where Technical Implications are indicated by SEBI on time basis as it helps to access the market from anywhere at any time during Trading hours of 9.30 a.m till 3.30 pm of Weekdays. The primary objective of this research paper is to study about the technical implications and growth online Trading in India.

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Internet, Technical Implications, SEBI, Online Trading, Stock Brokers

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Organic products are considered as healthy by most of the buyers as these are made up of natural substances. Organic products are grownup without the harmful substance and grown natural quality. The Indian organic food market although in its infant stage, has started growing faster. Consumers choose organic food in the interest of safety, human health, and environmental concern. The result also presented the factors that benefits organic food consumption and the barriers that limit the growth of organic profit. To achieve the research objectives, primary and secondary data collection methods used. The main sources of secondary data were collected from different online sources such as reports, surveys, and websites of Research Institutes, published books, online journals and papers. The primary data was gained by utilizing structured questionnaire that was collected from consumers.

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Substance, Infant, Harmful, barriers

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 Abstract

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E-Commerce, Online Shopping, Web Portals, Consumer Behavior, Intention to Purchase, Internet.

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Supply Chain Management (SCM), Supply Chain Risk Management (SCRM), Threats, Control, Risks, Uncertainty, Monitor

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SHOPPING

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Internet of things , Employee wellness , IOT in India, safe workplace.

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: Indian economy is focusing on transforming traditional economy to digitalized economy. The Government of India encourages the entrepreneurs to take use of technology for the growth of business and to build the society at large. Digital entrepreneurs make use of this initiative in developing rural economy. This research paper aims at revealing the problems and prospects of digital entrepreneurs in making rural development. The research work is empirical in nature and primary data is collected through structured questionnaire by using random sampling techniques. The outcome of the study will help the society and entrepreneurs for making rural economy to go in digitalized.

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Digital Entrepreneurs, Rural, Development, Problems, Prospects.

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The block chain is recently introduced and revolutionizing the digital world bringing a new perspective to security, resiliency, and efficiency of system. The focus of the study is to understand how the blocks are created in the block chain and how the decentralized shared economy applications that allow the people to secure their things that was previously unattainable to create more wealth.

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wealth,share

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Internet of Things (IoT) is playing a more and more important role after its showing up, it covers from traditional equipment to general household objects such as WSNs and RFID. With the great potential of IoT, there come all kinds of challenges. This paper focuses on the security problems among all other challenges. As IoT is built on the basis of the Internet, security problems of the Internet will also show up in IoT. And as IoT contains three layers: perception layer, transportation layer and application layer, this paper will analyze the security problems of each layer separately and try to find new problems and solutions. This paper also analyzes the cross-layer heterogeneous integration issues and security issues in detail and discusses the security issues of IoT as a whole and tries to find solutions to them. In the end, this paper compares security issues between IoT and traditional network, and discusses opening security issues of IoT.

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discusses opening, security issues ,IoT.

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Healthcare is important for all living beings and the increased demand for quality healthcare is growing day by day. The key challenge is to provide healthcare for everyone in this world will take time,and it is a difficult task as well. It is time for us to change our approach to prevent disease by diagnosing it very early and provide appropriate treatment to save a life. We would like to approach it in reverse starting from a blood donor, reaching out to a Doctor/hospitals/providers and accessing the way they treat patients and their diagnosing methods and how the treatment is received by the patient and then finally based on demographic, treatment patterns, diagnose methods, we can identify disease in advance so that we can treat. On the other hand, we can also reach out to the quality blood donor constantly checking their blood pressure and diabetes level to choose the right donor at the right time in extreme circumstances.We are using IoT, Machine Learning, Artificial Intelligence and Cloud are the technical tools for our research.

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:- Health care, Artificial Intelligence, Machine Learning, IoT

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This paper deals with find the improved map reduced framework to handle the large amount of grouped data. When we are deals with large amount of unorganized data we are end with cluster approach to organize them to serve its clusters. Version Control System (VCS) is the most commonly used approach to find the editions of the data. However before pushing the data into Data Lake, if we used improved map reduce framework easily retrieve the history of the data. A history always used to avoid the future mistakes and helps to improve or predict the upcoming business needs. The experiments performed on different types of data with different delimiters.

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Distributed Data Clustering, Big Data, MapReduce, Hadoop, HDFS, Version Control Systems, Data lake loader

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Wireless networks evolve into next generation to provide faster and better services, a key technology Wireless mesh networks has emerged recently. A wireless mesh network comprised of radio nodes which a form of wireless ad hoc network. In wireless mesh network nodes are combination of mesh routers and mesh clients. Wireless mesh networking is a promising wireless technology for numerous applications and hence throughput drops significantly as number of nodes or hops increases. Hence we propose a novel method to increase throughput using tabu search optimization followed by centralized and distributed algorithms. Simulation results shows that using this approach number of hop by hop per packet transmission is reduced and so the throughput is increased by 40 percent inducing increase in all quality of services.

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Wireless mesh networks, tabu , greedy algorithm, distributed algorithm

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MANET is the mobile ad hoc network used for connecting the mobile devices (nodes) and transferring the packets from source to destination node without connecting the nodes with the transmission medium. It is otherwise called as wirelessad hoc network or ad hoc wireless network. MANET is the self-configuring with less infrastructure network. MANETs undergoes different types of securities issues that disturb the actual performance and behaviour of the networks. One of the most dangerous attacks in MANET is the black hole attack, which results in dropping the data packets from network without transmitting the packet to the destination node. Ad hoc On-Demand Distance Vector (AODV) routing is a protocol used for mobile ad hoc networks (MANET). This paper implements the solution to the black hole attack in MANET using cache based IDS on AODV routing. This technique prevents the duplicate or unauthorised replies send by the attackers in the network.

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MANET, AODV routing, black hole attack, CBIDS

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Medical images are analyzed for diagnosis of various diseases. In medical image processing, removing noise plays a very important role in the preprocessing modules of the virtual endoscope system. The medical imaging devices particularly X-ray, CT/MRI, and ultrasound are manufacturing overabundant pictures that are utilized by medical practitioners within the method of designation. All medical images contain some visual noise. They are mottled, grainy, textured, or snowy appearance. It is very important to obtain precise images to facilitate accurate observations for the given application. Magnetic Resonance Imaging (MRI) is identified to be conceited by several sources of quality descent, due to limitations in the hardware, scanning times, movement of patients, or even the motion of molecules in the scanning subject. Among them, noise is one source of deprivation that affects acquisitions. The occurrences of noise over the acquired MR signal is a trouble which affects not only the visual quality of the images but also may interfere with further processing techniques such as registration or tensor estimation in Diffusion Tensor MRI. The paper aims to illustrate noise models and investigate noise suppression methods based on image processing techniques in MR images.

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Bilateral, Mean, Median, Magnetic Resonance Image, Noise Models, Wiener

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RFID, IP,Zigbee, Z-waves, software, OpenHAB, OpenMotics,Smart Phone Centric, Cloud Centric, Hub-Centric, Perceptive Layer, CES 2018

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SIT, WSN, RFID,c-Function, Encryption.

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IoT, offloading, cloud, authenticity, integrity.

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Nanotechnology, Internet of Things (IoT), Internet of Nano Things (IoNT), Nanosensors, Nano-machines, Sensors, Body Sensor Networks, Nano Communication, Wireless Networks

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