Volume 6 | Issue 2

 Abstract

The thyroid gland is one of the most important organ in our body. It secretes thyroid hormones, which are responsible for controlling metabolism. The less secretion hormone causes hypothyroidism and much secretion of thyroid causes hyperthyroidism. Therefore, in medical disease classification, choice of classifier plays a vital role. This paper describes the diagnosis of thyroid disorders using some machine learning techniques like Decision Tree, Support Vector Machine and Neural Networks. The performance evaluation of this system is estimated by using classification accuracy and k-fold cross-validation. Finally, results are compared based on confusion matrix, which shows the average accuracy of 97%. The thyroid data set is obtained from UCI machine learning repository. For simulation, MATLAB has been used.

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 Keywords

Thyroid disease, KNN, Decision Tree, Quadratic Discriminant and Support Vector Machine.

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 Abstract

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Investors, IT company employees, behavior, return and Factor analysis.

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The Discernment of Female Writers: The Vicissitudes brought in Female Writers’ Writing

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Academic restraint, Unequivocal facet, Political deportment, Conventionally mediated, Genre of female writers

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This paper basically throws light on the instances of genocide committed and the response of the Indian legal regime towards such grotesque crime against humanity. the aim o the research is to ascertain as to whether the existing provisions relating to punitive and preventive measures against offences amounting to genocide are adequate under penal laws in India or not. An attempt has been made to derive an answer to this significant question by studying the enacted provisions under Indian laws and also by developing an understanding of the provisions of same nature in the international arena.

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Genocide, Human Rights, Genocide a crime in indian context.

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In this paper is improving the robustness of the network topologies for WSNs. The objective of the paper is preserved after certain node failures resulting from cyber attacks for wireless sensor communication. In paper define the terms of target selection for attacks, there are two types of attack: random and malicious. In random attacks, the attacker randomly chooses nodes in the network topology as the targets, whereas in malicious attacks, the attacker chooses the nodes with high node degrees as the targets. It is known that some types of network topologies are resistant to random attacks and some are resistant to malicious attacks. This paper is proposed to use spatial information, a physical property associated with each node, hard to falsify, and not reliant on cryptography, as the basis for 1) detecting attacks; 2) determining the number of attackers when multiple adversaries masquerading as the same node identity; and 3) localizing multiple adversaries. It is proposed to use the spatial correlation of received signal strength (RSS) inherited from wireless nodes to detect the attacks. It formulates the problem of determining the number of attackers as a multi-class detection problem.

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 Keywords

Wireless Sensor Network, Cyber Attack, Network Free Toplogy, Spatial correlation,RSS,

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 Abstract

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Apparel Industry

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Now days the protection and illegal redistribution of digital media has become a major issue. The digital watermarking has been used to protect digital information from illegal redistribution and changes. In digital water marking the image has been enhanced by embedding noise tolerant signal into carrier signal. The study of various technique of digital watermarking has been done in this paper; also the contribution of watermarking techniques for security purposes has been analyzed.

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digital watermarking, noise tolerant, carrier signals, security

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 Abstract

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Redundant Signed Digits,P256 ECC processor

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Lung cancer is the main source of cancer-related demise around the world; in any case, early determination of lung cancer prompts higher survival rates. Expectation of lung cancer is most testing issue because of structure of cancer cell, where a large portion of the cells are covered each other. The image processing methods are for the most part utilized for expectation of lung cancer and furthermore for early identification and treatment to keep the lung cancer. To foresee the lung cancer different highlights are extricated from the images along these lines, design acknowledgment based methodologies are valuable to anticipate the lung cancer. Here, a thorough audit for the forecast of lung cancer by past analyst utilizing image processing strategies is displayed. The outline for the expectation of lung cancer by past analyst utilizing image processing strategies is additionally exhibited.

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MRI images used for disease detection require clarity, Improving classification accuracy, reducing mean square error

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Basically, cryptographic algorithms consists of large integers like RSA and Diffie-hellman. This algorithm performs mostly time consuming operations like modular multiplication operation. The implementation of modular multiplication function takes more than 75 percent of time within in the RSA for more than 1024-bit moduli. Here fast multiplier architectures are used to minimize the delay and increase the throughput using parallelism and pipelining. But this architectures occupy large area and gives less efficiency. In this paper it consists of integration of fast Fourier transform method into the framework and as well as it produces improved FFT-based Montgomery modular multiplication (MMM) algorithm to obtain high area-time efficiency. In existed system zero padding operation is performed to compute the modular multiplication steps directly using cyclic and nega cyclic convolutions. Now to reduce the convolution length by half in the number weighted theoretic algorithm, FFT algorithm is used which provide fast convolution computation. In proposed algorithm a general method is introduced for efficient parameter selection. In this proposed architecture single and double butterfly structures are designed to get low area-latency solutions and these are implemented on Xilinx Virtex-6 FPGAs. So from this it can be observed that the proposed system gives better area-latency efficiency compared to the existed system.

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Montgomery modular multiplication, number-theoretic weighted transform, fast Fourier transform (FFT), field-programmable gate array (FPGA).

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The research work described and presented in this paper is mainly aimed at providing an effective means of detecting methane releases which when reaches explosion limit can result in explosions and can cause huge damages not just to the coal mine infrastructure but also to the miners and can affect the surroundings as well if we brief up some of the damages due to methane explosions. The research work also focuses on providing a communication system capable of transmitting information collected from the methane sensor to the outside monitoring and/or safety departments in case of an emergency situation due to the methane releases. The research uses the wireless communication obtained through the use of the Zigbee communication and IoT techniques.

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Micro Machining of advanced engineering materials is always a difficult process. In this paper we are discussing the details of ECDM done on Polypropelene to identify the effect of process parameters such as pulse voltage, electrolyte concentration and type of electrolyte on Material Removal Rate (MRR) and Diameteral Overcut (DOC).The selection of the electrolyte for a micro ECDM process is very much important since type and concentration determines the electrochemical reaction. To carry out the experiment, aqueous NaOH, HCl, NaCl solutions were used as electrolytes due to its higher electrical conductivity which allows it to achieve a faster rate of gas bubble generation due to an increased rate of chemical reactions. The electrolyte concentrations were varied among 10, 20 and 30 wt. %. The flow of electrolyte was not considered because it removes the gas bubbles generated during machining operation, resulting in weak sparking and low material removal. The optimal voltage range was between40, 45 and 50V. The electrodes were both made of stainless steel. Optimization of process parameters are also done in this study.

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Pulse Voltage, Electrolyte, Material Removal Rate (MRR) and Diameteral Overcut (DOC).

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Kidnapping, Eve-Teasing, Ragging, Rape, Prostitution, Sex- Selection.

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Kanyakumari district is famous for its vast green stretches of paddy fields, rich forests, coconut groves and mineral sands. The total geographical area of the district is about 167,184 hectares. The district is divided into four parts as Agastheeswaram, Thovalai, Kalkulam and Vilavancode Taluks for the administrative convenience. Kanyakumari district is purely agricultural and solely depends on its economy upon agricultural income.Topography also should be taken into account before determining the soil-crop relation. Cropping pattern may be defined as the nature of crops that are grown and the percentage area under each crop in a given period of time. Cropping intensity of any region is influenced rarely by the availability of protected irrigation.

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 Keywords

Agriculture, Cultivation.

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Dairy Industry, Milk and Milk Products, Market Strategy, FMCG.

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Infrastructure plays a vital role in the growth and development of a country and its impact can be easily studied by analyzing the economic conditions of the people in terms of their consumer price index and its going to show its impact on the social conditions of the dwellers .Infrastructure is a broad term ,so as to study its impact it is classified as social and economic infrastructure .Social infrastructure comprises of schools ,hospitals ,recreation places and many others which are for the welfare of people and Economic infrastructure means the Networking ,transport, water supply ,electricity supply and many other sectors which focus on improving the economic condition of the dwellers, focus on all these will surely help to reduce the cost of production and increase the productivity of the particular sector where investment is made. The study is done with the help of all secondary data, literature which helps us to know the impact of infrastructural development on the progress of India .Many studies using different econometric tools are already conducted outside India but such study is not conducted in India specially using any econometric tools .Study done in India are on the conceptual basis and all these studies can be further analyzed to reach a conclusion regarding the infrastructure.

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 Keywords

Infrastructure, OLS, literature,

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Migration refers to a change in individual usual place of residence from one defining area arising out of various social, political and economic reasons to another. In the metropolitan states like Delhi, the rate of migration has declined or at least stabilized and migrants are setting down in NCR (national capital region) with nominal property rates. However, Delhi continues to be a favorable destination for large number of people seeking livelihood due to better employment opportunities, education and many other reason. This suggests that socio-economic changes in the last decade have greatly affected the mobility of population. This paper makes an attempt to identify various reasons for migration in Delhi and their respective contribution over the last three decades and also identify factors leading to migration and their respective relation with the dependent variable migration. Factors are stratified into economic and non-economic. Economic factors include employment measured as Number of people employed in private sector. Non-economic factors include education measured as number of senior secondary school set up in Delhi. It was found that from period 2002-2009 when employment opportunities increased in private sector it worked as an opportunity cost for people to migrate to Delhi in order to earn enough to fulfill their basic needs which cannot be fulfilled while staying in their native region. It was also found that increase in number of senior secondary schools in Delhi taken as non-economic factor leads to an increase in migrants as studies shows that it act as an opportunity for the people of other states to provide their children with better quality of education. There exists further scope to analyze quality education of different states with respect to migration.

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Migration, Economic and non-economic factors, reasons for migration, employment, education

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In the past few years, the whole world of computers has shifted from desktop to remote data centers and the hardware and software services which are required are available based on pay as you go which in other terms is nothing but Cloud computing. Services provided are IAAS, PAAS, SAAS. Green Computing refers to the practice of using computing resources in an environment friendly way without hampering the overall computing performance. Computer and computing resources has been a key factor for Global warming as well environment pollution. This paper is a survey of how green computing can be achieved and apply in day to day life.

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green computing, cloud computing, global warming, environment

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BCIs Brain computer interface are systems that can bypass conventional channels of communication to provide direct communication and control between the human brain and physical devices by translating different patterns of brain activity into commands in real time. This system describes about EEG based brain controlled pick and place robot.The robotic arm is controlled through egg sensor.The key lies in the mapping of the EEG signal to the robotic arm to achieve the objective.This system demonstrates the application for disabled people and Industry automation.

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 Keywords

EEG Sensor, Embedded platform, communication module, image acquisition module, BCI-Brain computer interface.

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 Abstract

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Sartorius stretch, Couturier

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