bluuebunny/crossref_metadata_2025 huggingface dataset:
Multilevel classification of security threats in cloud computing
Authors: Srinivasu N. , Sree Priyanka O. , Prudhvi M. , Meghana G.
Published: March 2018

Cloud Security was provided for the services such as storage, network, applications and software through internet. The Security was given at each layer (Saas, Paas, and Iaas), in each layer, there are some security threats which became the major problem in cloud computing. In Saas, the security issues are mainly present in Web Application services and this issue can be overcome by web application scanners and service level agreement(SLA). In Paas, the major problem is Data Transmission. During transmission of data, some data may be lost or modified. The PaaS environment accomplishes proficiency to some extent through duplication of information. The duplication of information makes high accessibility of information for engineers and clients. However, data is never fully deleted instead the pointers to the data are deleted. In order to overcome this problem the techniques that used are encryption[12], data backup. In Iaas the security threat that occurs in is virtualization and the techniques that are used to overcome the threats are Dynamic Security Provisioning(DSC), operational security procedure, for which Cloud Software is available in the market, for e.g. Eucalyptus, Nimbus 6.
Implementation of modified Q learning technique in EMCAP control architecture
Authors: Ganesha D. , Venkatamuni Vijayakumar Maragal
Published: March 2018

This research introduces a self learning modified (Q-Learning) techniques in a EMCAP (Enhanced Mind Cognitive Architecture of pupils). Q-learning is a modelless reinforcement learning (RL) methodology technique. In Specific, Q-learning can be applied to establish an optimal action-selection strategy for any respective Markov decision process. In this research introduces the modified Q-learning in a EMCAP (Enhanced Mind Cognitive Architecture of pupils). EMCAP architecture [1] enables and presents various agent control strategies for static and dynamic environment.  Experiment are conducted to evaluate the performace for each agent individually. For result comparison among different agent, the same statistics were collected. This work considered varied kind of agents in different level of architecture for experiment analysis. The Fungus world testbed has been considered for experiment which is has been implemented using SwI-Prolog 5.4.6. The fixed obstructs tend to be more versatile, to make a location that is specific to Fungus world testbed environment. The various parameters are introduced in an environment to test a agent’s performance.his modified q learning algorithm can be more suitable in EMCAP architecture.  The experiments are conducted the modified Q-Learning system gets more rewards compare to existing Q-learning.
An approach for verifying correctness of web service compositions
Authors: Saranya Jothi C. , S Ravikumar , Kumar K Antony , Suresh A.
Published: March 2018

Web services are utilized to illuminate some particular assignment. When a single web service cannot solve a given task, several web services are composed. Composition can be done either statically at design time or dynamically at runtime. Dynamic composition is more suitable for business applications where in business policies and user requirements frequently changes. Interleaved dynamic composition and execution of services is beneficial for adapting to changing user preferences. One of the main issues in such a scenario is that whether the component services that are composed operate according to the business rules specified. Safety, liveness and deadlock freedom properties of a composition depend on the behavior of individual services. Existing modeling techniques capture these properties and perform model checking only statically. Hence in this work, a two level model verification approach has been proposed to verify the correctness of dynamically composed services.
RHEA: resource hypervisor and efficient allocator in cloud
Authors: Priyatharsini G Soniya , Malarvizhi N
Published: March 2018

In this modern world, people are not ready to waste their time in waiting for long duration. That’s why cloud computing is such an enormous number of fans that it can be rented and also pay per use. The cloud service provider is concern about the data owner’s satisfaction in cloud usage. The main area they concentrate will be the security of the owner’s data and the resource allocation as per the request. This paper explains how the resources are efficiently allocated and scheduled to the clients. It follows four steps; firstly it identifies the active PMs. Next it defragments the identified machines. Then it balances the load along with the threshold feature to enhance the usage of the resource utilization. Finally it allocates the efficient Virtual Machines (VM) to the data owner as per the request. This is done using cloudsim along with java.
Secured authentication using CAPTCHA and visualized passcode
Authors: Narasimha C , Sreedevi M
Published: March 2018

Numerical harms initiate many privacy characteristics like cryptography. But Artificial intelligence is the best aid for the current privacy requirements, still not properly applied for privacy issues. Now we introduce a new privacy model of privacy that uses Captcha model, in our privacy model we use both the Captcha and a visualized pass code. This model tolerates from most of the privacy attacks like dictionary attacks, keyboard logging attacks, forwarding methods, search set methods etc., This model is well suitable for either a small or large scale applications, the primary intention is improving privacy in internet technology and related services. In this methodology solving a Captcha is a challenge in every login. Finally to improve privacy for practical applications this technique is efficient.
Rotor autocentering and speed control of hybrid bearingless SRM using single-neuron adaptive PID controller
Authors: V.S.Sobhan Polamraju , V. Nagesh Kumar G , V. Ramana Rao P
Published: March 2018

The bearingless switched reluctance motor (BLSRM) is emerging as an attractive option for modern industrial applications because of the features, such as compact size, lubrication and seal free performance, long lifeand ability to rotate at very high speed and high power. The control approach is extremely fundamental to a steady operation because of itshighly nonlinear, multi variable and open loop unstable nature. This paper presents a single neuron based rotor suspension control of a 12/14 Hybrid Pole BLSRM with autonomous rotation and suspension poles. This hybrid pole structure produces the suspension force linearly with respect to rotor position and independent of the torque characteristics. Implementation of a non model based Single neuron adaptive PID Controller by avoiding the modeling complexity is proposed. Experimental results demonstrate that the proposed controller maintains the rotor in the center position as well as the speed tracking and disturbance elimination performances independently.
Quantitative analysis of 0% infill density surface profile of printed part fabricated by personal FDM 3D printer
Authors: Alsoufi Mohammad , Elsayed Abdulrhman
Published: March 2018

Fused deposition modeling or FDM technology is an additive manufacturing (AM) technology commonly used for prototyping applications which suffer seriously from low levels of fluctuated surface finish quality, demanding some hand ﬁnishing tool for even the necessary levels of 3D printed parts. This paper, therefore, aims at giving close attention to the variation in the surface roughness profile between the inner and the outer faces of FDM 3D printed parts based on advanced polylactic acid (PLA+) thermoplastic filament material. The surface roughness is quantitatively analyzed using a contact-type test-rig with a 90° angle measurement on each face along with each zone and sub-zone. The obtained results revealed that the surface finish of the inner faces is rougher than those of the outer faces as regards nozzle temperature, nozzle diameter, infill density and layer height is 220°C, 0.5 mm, 0% and 0.3 mm, respectively. The personal FDM 3D printer is thus confirmed to be an excellent platform, flexible, straightforward and cost-effective.
Skin cancer detection and stage prediction using image processing techniques
Authors: Diana Sheeju , B Ramamurthy
Published: March 2018

Skin cancer is one of the perilous forms of cancer that most recently occurred in preceding and in recent years as well. Early detection of skin cancer is curable and it eliminates the cost that is spent on the advanced treatment. Skin cancer mainly occurs due to exposure to sun’s ultraviolet radiation and other environmental threats. It can be categorized into, Melanoma and Non-Melanoma. Melanoma is dangerous one. Once it is occurred it starts spreading across other parts of the body if not treated in the early stages. Non-Melanoma is a static cancer which does not affect the normal cells of the skin. This paper aims to develop an application to detect skin cancer and stage prediction using Image Processing Techniques. Stage is predicted, so that the treatment for the same is done without any delay. Skin cancer affected image is taken as input and various preprocessing techniques is applied for the same. The Preprocessing Techniques such as Noise Removal is applied on the image to filter out the noise. Filtered image is enhanced using Histogram Equalization and image is segmented to extract the affected portion. The Area, Perimeter and Eccentricity values are calculated for the affected portion of the skin. The values are then fed into the Neural Networks using Back Propagation algorithm in order to predict the Stage and type of the Skin cancer.
Cluster-type models in the logistics industry
Authors: Nyrkov Anatoliy , Sokolov Sergei , Karpina Anna , Chernyakov Alex , Gaskarov Vagiz
Published: March 2018

The aim of the present article is to detect the basic principles of secure electronic document circulation (EDCS) systems for multi-location structure with multiple non-uniform connections. As far as the object of research is concerned, transport-logistical clusters are used. It is heterogeneous system with implicit classification. In the article were examined the basic stages of designing, methods and models of information security in electronic document circulation systems, operating in distributed network and interacting with other informational systems. The article contains analysis of regulatory and legal base in information security field of Russian Federation. The model of cluster information flows has been created for research purposes, based on hierarchical interaction model of transport-logistical cluster components. We describe transport-logistical cluster subjects, categorized information and supposed information assets. Based on potential threats and system vulnerabilities, mechanisms of EDCS information security have been described. EDCS data exchange process with another system, containing personal data has been described. As a result, a comprehensive set of measures was formed as well as information security tools based on requirements for data protection of personal data, and automated control systemsand transport-logistical cluster information systems at critical objects.
An innovative approach for identification of pivotal node in terrorist network using promethee method (an anti-terrorism approach)
Authors: Singh Saurabh , Verma Shashikant , Tiwari Akhilesh
Published: March 2018

Terrorist network analysis is vital for intelligence analysis and for deriving useful information from available raw data. Computer Science and Graph Theory provide instructive tools for the study and graphical interpretation of these networks. In this paper, we examine the 26/11 Mumbai attack terrorist network dataset and employ the Preference Ranking Organization Method for Enrichment of Evaluation (PROMETHEE) for identification of key node on the terrorist network. PROMETHEE is an effective multi-criteria decision-making model. It provides a framework to find the most suitable alternative by integrating the quantitative and qualitative factors to the decision problem and facilitates easy computation. From the 26/11 Mumbai attacks data set of terrorist network. It is found that out of several terrorists in the network “Wassi” was the focal actor. Based on the PROMETHEE framework, it is resolved that the obtained terrorist nodes can be instrumental for the intelligence and law enforcement agencies to confine their focus on important members of the terrorist network which can deter the functioning of these networks.
Conditional privacy-preserving authentication with access likability for roaming service over internet of things
Authors: S Uma Priyadarsini P , Sriramya P
Published: March 2018

Today the mobile subscribers can access the internet service whenever they want or wherever they are because of the roaming service. The necessity of accessing pervasively for the developing paradigm of networking such as the Internet of Things (IoT) is accomplished through this facility. In order to provide universal roaming service which is secure and privacy preserving at the multilevel, this paper proposes a privacy-preserving validation which is conditional with access likability called CPAL for roaming service. By utilizing a method of group signature it provides linking function of an anonymous user. This method has the capability to keep the identity of the users concealed and makes the authorized bodies possible to connect all the access information of the same user even without knowing the user’s real identity. In order to connect the access information from the user for enhancing the service, the foreign operators who are authorized or the service providers particularly uses the master linking key possessed by the trust linking server. In order to examine user’s likings, the individual access information is used but user’s identity is not disclosed. Subscribers can further make use of this functionality to probe the service usage without being identified. The proposed method also has the efficiency to simultaneously revoke a group of users. Comprehensive analysis of CPAL demonstrates that it can withstand many security threats and more adjustable in privacy preservation as compared to the other techniques. Assessment of its performance further proves the efficiency of CPAL with regards to communication and computation overhead. Future work would include the extension of CPAL scheme to effectively withstand internal attackers and design the lightweight secure and privacy-preserving scheme that will support IoT devices of large group.
Design and optimization of 2x2 corporate-series fed microstrip antenna array
Authors: George Jobins , Lethakumari B
Published: March 2018

The limitation of microstrip patch antenna is relatively low gain and narrow bandwidth. By using the microstrip patch antenna array antenna performance can be improved. In this paper design and stimulation of a 4 element rectangular microstrip patch array is described and the performance of antenna array is optimized by varying patch element dimensions. Antenna array is designed to operated at the frequency of 10 GHz. The corporate-series feed network is implemented for feeding patch elements. The 2x2 antenna array is implemented on FR4 substrate with 1.588mm thickness and dielectric constant of 4.4.The stimulation and performance analyze of antenna is done using Ansoft High frequency structure simulator software. Finally, comparison of antenna arraycharacteristics before and after optimization is presented.
Survey of duplicate detection using progressive detection techniques
Authors: Venkatraman K , Akila A
Published: March 2018

Data is an important task in real world; the common data is represented and used in all the fields. The duplicate data is executed and displayed in scenario. The proposed work two types of techniques used first one Progressive Sort Neighbourhood Method (PSNM) and Progressive Blocking (PB). Progressive Sort Neighbourhood Method is used to deliver the exact input based output and the method will separate the input based keywords and check the similarity of the output data. The progressive blocking is to filter the irrelevant information, keywords based indexing and entry level filtering standard input is implemented based on user requirement.
Evaluation of the benefits of micro credit: a study with reference to women beneficiaries in Idukki district
Authors: Jose Sheena , M. Chockalingam S
Published: March 2018

Microcredit is a dominant instrument and a sensible attempt of nations to reduce poverty and boost up the development process. When the poor people particularly women get access to credit, they become economically powerful to improve themselves, their family, society as well as the entire nation. It is a revolutionary financial setup for poor people. The importance of microcredit has been proven and many countries adopt this as a powerful instrument to alleviate poverty. Empowerment is a multifaceted process of change which can be experienced by every individual in one way or the other. Financial support through the microcredit to women and their families play a vital task in empowering them. Women can enjoy non-economic benefits along with the economic benefits like increase of self-esteem, social recognition, decision making power, respect from relatives and society. It is necessary to promote many more microcredit schemes in different phases to uplift women to the main stream of life.In this scenario, this paper is an attempt to evaluate the effect of microcredit on women beneficiaries in terms of income generation and asset acquisition. The paper also focuses on how microcredit initiatives affect poor women in terms of economic empowerment and social recognition.
An examination on data integrity auditing patterns in cloud computing
Authors: A.Mohanaprakash T , Andrews J
Published: March 2018

Cloud computing is associate inclusive new approach on however computing services square measure made and utilized. Cloud computing is associate accomplishment of assorted styles of services that has attracted several users in today’s state of affairs. The foremost enticing service of cloud computing is information outsourcing, because of this the information homeowners will host any size of information on the cloud server and users will access the information from cloud server once needed. A dynamic outsourced auditing theme that cannot solely defend against any dishonest entity and collision, however conjointly support verifiable dynamic updates to outsourced information. The new epitome of information outsourcing conjointly faces the new security challenges. However, users might not totally trust the cloud service suppliers (CSPs) as a result of typically they may be dishonest. It's tough to work out whether or not the CSPs meet the customer’s expectations for information security. Therefore, to with success maintain the integrity of cloud information, several auditing schemes are projected. Some existing integrity ways will solely serve for statically archived information and a few auditing techniques is used for the dynamically updated information. The analyzed numerous existing information integrity auditing schemes together with their consequences.
Secured information exchange in cloud using cross breed property based encryption
Authors: Archana E , Dickson Irudaya Raj V , Vidhya M , S. Umashankar J
Published: March 2018

Individuals have the ability to get to the web anyplace and whenever. Distributed computing is an idea that treats the assets on the Internet as a brought together element, to be specific cloud. The server farm administrators virtualized the assets as per the necessities of the clients and uncover them as capacity pools, which the clients can themselves use to store documents or information protest s. Physically, the assets may get put away over numerous servers. Thus, Data heartiness is a noteworthy prerequisite for such stockpiling frameworks. In this paper we have proposed one approach to give information power that is by imitating the message with the end goal that every capacity server stores a duplicate of the message. We have improved the safe distributed storage framework by utilizing a limit intermediary re-encryption strategy. This encryption conspire bolsters decentralized deletion codes connected over scrambled messages and information sending operations over encoded and encoded messages. Our framework is exceedingly dispersed where every capacity server freely encodes and forward messages and key servers autonomously perform incomplete decoding.
Plant and Animal sub cellular component localization prediction using multiple combination of various machine learning approaches
Authors: Nair B J Bipin , P.v Ashik
Published: March 2018

Membrane proteins are encoded in the genome and functionally important in the living organisms. Information on subcellular localization of cellular proteins has a significant role in the function of cell organelles. Discovery of drug target and system biology between localization and biological function are highly correlated. Therefore, we are predicting the localization of protein using various machine learning approaches. The prediction system based on the integration of the outcome of five sequence based sub-classifiers. The subcellular localization prediction of the final result is based on protein profile vector, which is a result of the sub-classifiers.
Applying metric space and pivot-based indexing on combined features of bio-images for fast execution of composite queries
Authors: Srivastava Meenakshi , Singh S.K. , Abbas S.Q.
Published: March 2018

Content based recovery of bio images requires index structures, which can retrieve the similar image objects in time proficient way. Conventional Structure/ sequence based recovery of bio-images (for example, protein structures) experiences, tedious online similarity check from huge web based databases. The general approach of image feature representations follows vector based portrayal. In present manuscript, visual highlights of 3D protein structures and their content highlights have been implemented in isolated metric space, rather than vector space which advances the similarity recovery. At long last, the Visual highlights and Content based highlights are consolidated in one metric space, through the component results of highlight and substance metric. Results have demonstrated that pivot based ordering/ indexing on Combined Index Metric can undoubtedly execute composite content construct queries with respect to bio images in time effective way.
Protein sequence comparison under a new complex representation of amino acids based on their physio-chemical properties
Authors: Pal Jayanta , Ghosh Soumen , Maji Bansibadan , Bhattacharya Dilip Kumar
Published: March 2018

The paper first considers a new complex representation of amino acids of which the real parts and imaginary parts are taken respectively from hydrophilic properties and residue volumes of amino acids. Then it applies complex Fourier transform on the represented sequence of complex numbers to obtain the spectrum in the frequency domain. By using the method of ‘Inter coefficient distances’ on the spectrum obtained, it constructs phylogenetic trees of different Protein sequences. Finally on the basis of such phylogenetic trees pair wise comparison is made for such Protein sequences. The paper also obtains pair wise comparison of the same protein sequences following the same method but based on a known complex representation of amino acids, where the real and imaginary parts refer to hydrophobicity properties and residue volumes of the amino acids respectively. The results of the two methods are now compared with those of the same sequences obtained earlier by other methods. It is found that both the methods are workable, further the new complex representation is better compared to the earlier one. This shows that the hydrophilic property (polarity) is a better choice than hydrophobic property of amino acids especially in protein sequence comparison.
A technical survey on underwater communication
Authors: Afaque H Saliq , Dasari Vishal , Ramesh T K
Published: March 2018

The world’s pace has elevated technology to a higher pinnacle in the field of communication, yet the research in underwater communication is progressing in a slow traverse due to its compound barriers. Underwater communication is one of the unique and challenging fields in communication engineering in the case of both designing and communication. It is limited by several factors like the multipath channel and frequency which is limiting the application of underwater communication. An appropriate choice of modulation will enable the device to give better data rates. As every communication needs higher data rates, appropriate devices must be coupled with multiple access methods to make it efficient and reliable. The paper is a plot of the data surveyed on underwater communication which combines of major challenges associated with underwater applications and the approaches to mitigate some of these challenges is data.
Alternate assessment of strength characteristics of clayey soil for compaction using ultrasonic pulse velocity method
Authors: A Vinay , A.V.Pradeepkumar Dr , M.R Rajashekhara Dr
Published: March 2018

Earthwork is a component in any Civil Engineering construction and to determination of soil properties in the laboratory is the basis of design. Clayey soils exhibits large volume changes in presence of water leads to swelling and shrinkage. Soils used for construction should satisfy two important properties like less settlement and more shear strength. Present investigation deals with the determination of compaction characteristics of clayey soil by an alternate method of assessment like pulse velocity method which is more accurate and fast compared to conventional methods. Laboratory compaction soil samples prepared at different water content by standard and modified proctor, compaction method was used to determine the ultrasonic pulse velocity at different water contents. The variation of velocity with respect to water content was correlated. Ultrasonic pulse transmitted from one side of the sample was received at the other end and was used in calculating soil properties. It was observed that with increase in water content the density increases and ultrasonic pulse velocity also increases. Standard proctor method of compaction and modified proctor moulds was used for compaction and 5 trails were done with variation in water content to get compaction curve, so as to find the variation of strength to stabilization and its variation by Ultrasonic pulse velocity technique.
Towards a new framework of program quality measurement based on programming language standards
Authors: M. A. Abdallah Mohammad , M. Alrifaee Mustafa
Published: March 2018

All languages, natural and programming, have rules and styles in how to write. These rules and styles mainly aim to make sure that anyone, who understand a language, can understand what the sentence say. In other words, the aim of rules and styles in a language is to deliver an information to reader, and the reader must get the right information. The literature review shows a lack of studies focusing on the code writing standards measurement processes. In this paper, we proposed a framework that can be applied on any programming language, using any standard of that language.
SAISAN: An Automated Local File Inclusion Vulnerability Detection Model
Authors: Maruf Hassan Md , Bhuyian Touhid , Khaled Sohel M , Hasan Sharif Md , Biswas Saikat
Published: March 2018

Communicating and delivering services to the consumers through web applications are now become very popular due to its user friendly interface, global accessibility, and easy manageability. Careless design and development of web applications are the key reasons for security breaches which are very alarming for the users as well as the web administrators. Currently, Local File Inclusion (LFI) vulnerability is found present commonly in several web applications that lead to remote code execution in host server and initiates sensitive information disclosure. Detection of LFI vulnerability is getting very critical concern for the web owner to take effective measures to mitigate the risk. After reviewing literatures, we found insignificant researches conducted on automated detection of LFI vulnerability. This paper has proposed an automated LFI vulnerability detection model, SAISANfor web applications and implemented it through a tool. 265 web applications of four different sectors has been examined and received 88% accuracy from the tool comparing with the manual penetration testing method.
Li-Fi – the future of wireless technology
Authors: Shyamala Kumari C , Florence S , Prema K , Leema Priyadharshini L
Published: March 2018

In this era of technology the number of gadgets such as mobilephones, smartwatches, digital glasses and health trackers are used extensively by people in a large scale. The data traffic is abundant as the available radio frequency is limited, so the demand for the wireless network is keep on increasing. In order to meet the future demands there was a development in the optical communication method known as Li-Fi(Light-Fidelity).This will offer more bandwidth than the RF spectrum. They make use of LEDs to transmit the data. The main advantages of the Li-Fi is that there is no need of licensing and has a huge amount of unregulated bandwidth and there is zero electromagnetic interference so that the health hazards are nullified.
Air quality and water quality monitoring using XBee and internet of things
Authors: Gehlot Anita , Singh Rajesh , Samkaria Rohit , Choudhary Sushabhan , De Aisik , . Kamlesh
Published: March 2018

There are numbers of disadvantage in the current existing systems for water quality monitoring which are generally limited to only a few varieties of parameter provide when there and need to be sending through manual operation. This type of security systems required a device which could send alert signal to the sub – stations and is very time consuming process. The quick warning or alert is not possible in the current existing system because they need some manual operation to be performed which could send the data and this cause a huge casualty because sometimes if the area is not in taken care of then it may cause huge causality to human as well as marine habitats. For such condi-tions a system required which automatically reads the sensor values (parameters) compares them with the threshold of fresh air and water parameters and if this level is above the threshold then automatically send alert with the pin point location to the sub – stations.
Mitigation of DDoS attack instigated by compromised switches on SDN controller by analyzing the flow rule request traffic
Authors: R Sanjeetha , Srivastava Shikhar , Pokharna Rishab , Shafiq Syed , Anita Kanavalli Dr
Published: March 2018

Software Defined Network (SDN) is a new network architecture which separates the data plane from the control plane. The SDN controller implements the control plane and switches implement the data plane. Many papers discuss about DDoS attacks on primary servers present in SDN and how they can be mitigated with the help of controller. In our paper we show how DDoS attack can be instigated on the SDN controller by manipulating the flow table entries of switches, such that they send continuous requests to the controller and exhaust its resources. This is a new, but one of the possible way in which a DDoS attack can be performed on controller. We show the vulnerability of SDN for this kind of attack. We further propose a solution for mitigating it, by running a DDoS Detection module which uses variation of flow entry request traffic from all switches in the network to identify compromised switches and blocks them completely.
A Study on impact of smartphone addiction on academic performance
Authors: Chaudhury Pamela , Kumar Tripathy Hrudaya
Published: March 2018

Smartphone addiction is increasingly affecting the masses and is negatively impacting the younger generation. Several researches have been done to study the impact of internet and smartphone addiction. However no work has been done to predetermine academic performance from smartphone addiction using data mining techniques. A total of 222 University students participated in the questionnaire. The survey questionnaire consisted of demographic information, internet access pattern and smartphone addiction pattern. Data was analysed using machine learning techniques using classification models. The results further encouraged us to find the correlation between smartphone addiction and academic performance. Pearson’ correlation was used to establish that smartphone usage had a negative impact on academic performance. Additionally other attributes like internet connectivity and active involvement in outdoor sports activities were investigated. Experimental results confirmed a negative correlation of these attributes with academic performance. The findings were of immense use and could be used to reduce the internet addiction amongst the student community and also enhance their academic performance
Design and development of air quality management devices with sensors and web of things
Authors: Kumar Singh Neeraj , Kumar Amardeep , Singh Rajesh , . Anita
Published: March 2018

With the rapid increase in urbanization, there is a huge and urgent need of controlling the air quality so that we can breathe freely. We need oxygen to live and sustain life and for that controlling the environment is must otherwise it would create a great damage. According to a survey, pollution is claiming one life every 23 seconds in India and the figure can go to an extent of 1 billion people dying due to air pollution by 2030. If there would be something free on earth then it would be just Carbon. The earliest step we can take towards this cause is the detection pollutants present in the atmosphere after which the action can be taken against these pollutants. The detection can be done by the use of various sensors like MQ-2, MQ-135, DHT-11, PM10/PM2.5, AQM65 etc. and then obtaining the real-time data to the local servers by the means of IoT. The pollutants can be easily monitored when connected through the internet and local servers. The sensors will work upon a micro-controller which is used to store the data and transmission of data to the servers. Afterwards, the data can be easily accessible on the application developed.
Identify virtual ligand hits using consensus scoring approach for drug target S. Aureus
Authors: Bharath Siva Varma P , Yesubabu Adimulam , Subrahmanyam K
Published: March 2018

The associations amongst protein and ligand can be assessed for scoring functions based on the binding modes of ligand obtained from search algorithms. Several scoring functions have been proposed and every method has their own strengths and weaknesses, hence a multiple scoring analysis referred as consensus scoring increases the overall signal noise ratio. Therefore, top ten ligands obtained and were subjected to re-scoring using mcule, AutoDock and X-score functions. A computational consensus scoring analysis was taken up for a dataset of top ten PubChem compounds which are identified to exhibit better inhibitory properties against phosphotransacetylase, a putative drug target for S. aureus.
Water leakage detection monitoring and controlling system using IOT
Authors: Swetha Reddy P , V.Chanakya K , Eswari B , Bhupati Ch
Published: March 2018

The Water is the most valuable because it is a basic need of all humans, in these days water supply department are facing problem because of less amount of water due to less rainfall, lowering of ground water in spite of all these problems water leakage from pipelines while supplying and also no monitoring of water distribution and controlling. With increment in population, neighborhoods have expanded as a result of this reason water has turned into a major issue which influences in distribution, conservation, consumption and also the quality so, to overcome all these problems and create system economical there’s want of  correct observance and dominant system. In this paper, we are proposing a system which can detect the leakages, monitoring and controlling if water supply in pipelines. Sensors places in the tank which continuously informs the water level of water in the tank. The motor functioning will be automatically turn on and when tank is about to fill up it will cut off.
IoT based forest fire detection system
Authors: Trinath Basu M , Karthik Ragipati , Mahitha J , Lokesh Reddy V
Published: March 2018

It has been found in a survey that 80% losses caused due to fire would have been kept away from if the fire was identified promptly. Node Mcu based IoT empowered fire indicator and observing framework is the answer for this issue.In this task, we have assembled fire finder utilizing Node Mcu which is interfaced with a temperature sensor, a smoke sensor and signal. The temperature sensor detects the warmth and smoke senssor detects any smoke produced because of consuming or fire. buzzer associated with Arduino gives us an alert sign. At whatever point fire activated, it consumes protests adjacent and produces smoke. A fire caution can likewise be activated because of little smoke from candlelight or oil lights utilized as a part of a family. Likewise, at whatever point warm force is high then additionally the alert goes on. Bell or alert is killed at whatever point the temperature goes to ordinary room temperature and smoke level decreases. We have additionally interfaced LCD show to the Node Mcu board.With the assistance of IoT innovation.Node MCU fire checking serves for mechanical need and also for family unit reason. At whatever point it recognizes fire or smoke then it immediately alarms the client about the fire through the ethernet module. For this reason, we are utilizing ESP8266 which is from Arduino IDE. Likewise, the Node Mcu interfacing with LCD show is done to show the status of the framework whether the Smoke and Overheat is identified or not. What's more, Node Mcu interfacing with Ethernet module is done as such that client become more acquainted with about the predominant condition message. It insinuate the client about the fire identification. This framework is extremely helpful at whatever point the client isn't in the closeness of control focus. At whatever point a fire happens, the framework naturally faculties and alarms the client by sending an alarm to an application introduced on user’s Android portable or page open through web.
A frequency reconfigurable antenna with Bluetooth, Wi-Fi and WLAN notch band characteristics
Authors: Vamseekrishna A , T P Madhav B
Published: March 2018

A compact coplanar waveguide fed reconfigurable antenna with three notch bands are presented in this paper. Proposed antenna reconfigurability is acquired by placing bar6404 PIN diodes in the S-shaped ground plane in right to left mode and left to right mode. By switching the diode, reconfigurability achieved for three different operations. The substrate material for the proposed antenna is FR4 with dielectric constant 4.4 and loss tangent 0.02. The overall dimension of the reconfigurable antenna is around 30×26mm2. It is being observed in this work for the cause of each individual slot on notch band characteristics. The measured gain for the designed reconfigurable antenna is quite stable at operating frequencies except notch bands. The proposed antenna is suitable for practical wideband applications with notching.
Performance evaluation of IOT systems – basic issues
Authors: V. Sowmya K , JKR Sastry Dr
Published: March 2018

Internet of things (IOT) is a layered network and generally heterogeneous as communication between small things like digital cameras and big things like servers has to happen. The communication speeds of various devices connected on to IOT are in great variance affecting the performance of the entire network. The small devices connected on to IOT are fragile in the sense that they tend to fail quite often affecting the performance of the network. The small devices are low in energy depletion of which is rather fast. The small devices also have heavy latency. Many such issues exists that effect the performance of an IOT network. In this paper, various issues/bottlenecks that hamper the performance of an IOT network are and a mitigation strategy for improving the performance of the IOT networks is discussed.
Quantifying quality of WEB sites based on content
Authors: Venkata Raghavarao Y , Sasidhar K , Sastry JKR , Chandra Prakash V
Published: March 2018

Information dissemination is taking place extensively through WEB and use of internet.  The quality and reliability of the information hosted on the WEB is questionable.  Many factors are to be considered for assessing the quality of the WEB sites. The Information hosted on the WEB would become valuable only when top quality of the same is maintained. Each quality factor can have many dimensions. There should be a mechanism of computing the quality of a web site quantitatively so that quality of a web site can be realistically measured.  Any subjective or objective way of measuring quality is questionable and can be prejudiced at times. Every factor as such must be measured the entire quality of a web site must be measured considering all the factors. One can develop a norm for quality of a factor and any deviation from the norm needs to be rectified and controlled.Among other factors quality of the content hosted on the WEB plays vital role. In this paper the computational method which can be used for computing the quality of a web site is presented considering all the dimensions of   content related quality factor.
Critical review attacks and countermeasures in internet of things enabled environments
Authors: Kumar Ch Mohan , Kameswara Rao M
Published: March 2018

Internet of Things (IoT) generally referred as Industry 4.0, Now a day’s Application Areas are everywhere like Smart Transportation, Smart Construction, Fitness monitoring, Energy Supervision, Construction managing, Environmental Supervise, Groceries supply chain. IoT has a compound network of smart nodes; information sending and receiving of nodes are through the Internet. In this process, it is vulnerable to attacks. In This paper, we review the possible attacks with respect to Cisco- Seven Layer model.
Implementation of security system for bank using open CV and RFID
Authors: Neeraja Kona , Rama Chandra Rao Potu , Suman Maloji Dr , Mohammed Ali Hussain Dr
Published: March 2018

Security is one of the major concerns in banking sector where we can adapt the latest techniques like face recognition and RFID we can provide better security policies. In this paper we have proposed a model with two major security techniques. The First method provides security for the locker room door by face recognition using OpenCV. Face recognition is a particular type of biometric system that can be used to analyze the obtained information and identify the user uniquely by the trained images. In this proposed model the images of customers are trained. A Microsoft Lifecam HD-3000 is placed outside the locker room. This camera detects the human face using Haar Cascade Classifier and recognizes a customer using LBPH Algorithm. If a trained customer tries to enter then door is unlocked. The customer name is uploaded to cloud. The second method provides security to the cashier cabin by using MFRC522 RFID Module which is very easy to access which consumes less time and more secured compared to the existing system. When an authorized tag is recognized the door is unlocked for certain time period and the userid is uploaded to the cloud. By using these two techniques we can provide security for locker room and cashier cabins in any banking sector.
Identity-Based Data integrity checking in public cloud with bilinear pairings
Authors: B.V.Satya Vara Prasad B , Hari Kishan Ch , P. Praveen S , Mani Teja Ch
Published: March 2018

A consistently expanding number of clients should need to stock their information in servers that are public close by the quick headway of cloud computing. Novel security issues must be grasped remembering the true objective to empower more number of customers to process their information in broad daylight. Exactly when the user is confined to get to PCS, then they will assign its intermediary to process their information and transfer them. However remote information trustworthiness inspection is in like manner a basic security issue in broad daylight distributed storing. This impacts the clients to examine in case their outsourced data are held in reserve, set up without copying the complete data. In the previous paper Diffie Hellman algorithm is replaced with elliptic curve cryptography based key exchange algorithm. To compete with Diffie Hellman the algorithm is not so secure. As of the safety complications, we suggest a different midway settled information transporting and remote data dependability inspection prototype in character dependent open key cryptography :character based intermediary arranged information transferred what's more, remote data respectability checking transparently cloud (ID-ICBP) with Tate pairings which is better when compared to Diffie Hellman.. We provide the formal description, structure model, and security show up. By at that point, a solid ID-ICBP custom is completed utilizing the bilinear pairings. The suggested ID-ICBP convention is provably protected in context of the hardness of computational Diffie– Hellman issue. Our ID-ICBP custom is in like way convincing and adaptable. In light of the intriguing customer's support, the suggested ID-ICBP convention can recognize private remote information uprightness checking, appointed remote information respectability checking, and open remote information uprightness checking.
Study of wire-electrical discharge machining parameters of titanium alloy by using taguchi method
Authors: VS Ram Prasad A , Ramji Koona , Raghu Kumar B
Published: March 2018

Machining of Titanium alloys is difficult due to their chemical and physical properties namely excellent strength, chemical reactivity and low thermal conductivity. Traditional machining of such materials leads to formation of continuous chips and tool bits are subjected to chatter which leads to formation of poor surface on machined surface. In this study, Wire-EDM one of the most popular unconventional machining process which was used to machine such difficult-to-cut materials. Effect of Wire-EDM process parameters namely peak current, pulse-on- time, pulse-off-time, servo voltage on MRRand SR was investigated by Taguchi method. 0.25 mm brass wire was used in this process as electrode material. A surface roughness tester (Surftest 301) was used to measure surface roughness value of the machined work surface. A multi-response optimization technique was then utilized to optimize Wire-EDM process parameters for achieving maximum MRR and minimum SR simultaneously.
Embedded design consideration for the implementation of food intake monitoring system:validated using LabVIEW software
Authors: Mahesh C , Kingston Stanley P , Vijaydaniel P , Saneevi Gandhi A
Published: March 2018

Memory loss is a common problem found among old people, the person may forget mealtime altogether due to memory loss. This paper proposes an idea for a monitoring system which will monitor the old people food intake from a remote place and generate an alarm locally. A wearable system is designed usingpiezoelectric sensor that will sense the trachea movement during food ingestion and produces an output signal with variations in the frequencies over time. Based on the detected frequency, food type is classified. Food classification algorithm is depends on Time-Frequency analysis of the piezoelectric output and the wearable design transmits the signals to PC via Bluetooth module. The received signal is processed by LabVIEW and accuracy is tested.