International Journal on Future Revolution in Computer Science & Communication Engineering
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Fraud Detection using Machine Learning in the Mobile Payment Service
Get PDFThe transformation of payment mechanism from face-to-face transactions to non-face-to-face transactions has led to increased popularity of Internet Banking, credit card, online billing in the mobile phone itself and, hence, it is directly proportional to the advancement of smartphones in particular. However, the probability of any kind of anomalous payments increases and due to that the requirement of fraud detection arises. This paper provides the idea of the trend followed in the detection of fraud in online payment through mobile phone with the help of machine learning [1]
NewSociRank: Recognizing and Ranking Frequent News Topics Using Social Media Factors
Get PDFMass media sources such as news media used to inform us of daily events before. Now a day, unlike news media, social media services like Twitter provide a huge amount of user-generated data, which contain informative news-related content. For these resources to be useful, we need to find a way to filter the noise and capture only the content based on its similarity to the news media. However, even after noise is removed, information overload may still exist in the remaining data-hence, it is convenient to prioritize it for consumption. To achieve prioritization, the information must be ranked in order of estimated importance considering three factors. First, the media focus(MF) of a topic, the temporal prevalence of a particular topic in the news media. Second, user attention (UA), the temporal prevalence of the topic in social media. Last, the interaction between the social media users who mention this topic indicates the strength of the community discussing it, and can be regarded as the user interaction (UI) toward the topic. We propose an unsupervised framework�NewSociRank�which recognizes the news topics prevalent(common) in both social media and the news media, and then ranks them by relevance(popularity) using their degrees of MF, UA, and UI
Incorporating Mind Education to Develop A Better Human
Get PDFA web application to find out the mental ability of a person and provide mind education strategies would be formulated. It has been seen that there is no automated system/software for analyzing the mental ability of a person. A survey depending on student�s age is done which consists of scenario based questions and categorization (weak, average or bright) is done based on that. Once categorized, mind education strategies can be incorporated. The methodologies used can be reading comprehension on motivational articles, role play, various group activities, visit to rehabilitation centers, prison, hospital etc. After completing every task, the student has to report their experience. Once they complete all the tasks, assessment can be done by providing task on �how they tackle the given situation�. By this the change in students are noticed and suggestions are provided
Improved Adaptive Duty Cycle Control in Wireless Sensor Networks
Get PDFOn the Internet transport layer handles the congestion and reliability for individual packets. In Wireless Sensor Network application, congestion controlling techniques are required to control large quantity of traffic to neglect to loss of packets and consistence of end-to-end efficient packet delivery. In Wireless Sensor Network, researchers thus not agree the existence of a transport layer for WSN alike to the Internet. As resource constraint nature of sensor devices, researchers however allow that scale of internet for transport layer will surely be a substance of challenge. The implementation in microprocessor technology leads, high speed and large memories, high speed network, very efficient sensor network operating systems to develop many protocols under transport layer
Microcontroller Based Soil Parameter Monitoring For Automatic Irrigation System
Get PDFAgriculture field plays vital role in Indian economy. Major part of country is dependent on agriculture for their income.The food requirement of all countries are fulfilled by farmers. But now a days farmers are facing number of problems such as drought situation, seasonal plant diseases, lack of knowledge of pesticides etc. Because of this reasons farmers are not able to get enough product from agriculture field. Presently big problem faced by farmers is lack of water for agriculture. On the other hand the availability of water in different regions of the country is different. To solve this water problem we need to study the soil condition along with water availability.The soil parameters like moisture, temperature, pH etc helps in understanding the soil condition. This project works helps by monitoring soil parameters for automatic irrigation system to provide adequate amount of water to the crops
Simulative Investigations on Different Shapes of Antenna
Get PDFThe goal of this thesis is to design and analysis the Microstrip patch antenna with different shapes which covers the Ultra Wide Band 2.42 GHz frequency. This thesis covers study of basics and fundamentals of microstrip patch antenna. How the different characteristics of the antenna depend on its various geometrical and other parameters, a series of parametric study were done to find it. The various geometrical parameters of the antenna are the dimensions of the patch and the dimensions of the ground planes and the separation between them. It also includes the dielectric constant of the substrate material. The parametric study also includes the study of different shapes to optimize the different parameters of antenna to get the optimum results and performance. This is a simulation based study. The design and simulation of the antenna is carried out using MATLAB (matrix laboratory) software which is a multi paradigm numerical computing environment and a high performance language for technical computing. In this paper, return loss curve, antenna gains, 3d pattern, directivity, azimuth pattern, elevation pattern and the far field results are shown for all the designed antennas. Various results reflect the good antenna performance in the UWB range of frequency. Then the effects of varying the parameters of the antenna on its performance are investigated and shown. In now a days it is essential for an antenna designed for a system to avoid the interference from the other existing wireless system. Effect of desired parameter modifications are observed, analyzed and plotted. All the design antennas are fabricated on an inexpensive dielectric substrate air with relative permittivity (?_r) of 1 with thickness of 0.006 mm. The simulation results of different shapes of microstrip antennas indicate that the proposed rectangular microstrip patch antenna achieve the more gain and directivity as compare to another two shapes (circular and triangular
Energy Efficient Clustered Routing Strategy For WSN
Get PDFWireless sensor network alludes in the route of a group of spatially dedicated sensors for screening, accumulating the normal information in distant zones and sending the gathered knowledge to a central region. In past a few methodologies that cut back the vitality utilization by actualizing efficient steering conventions had been presented. Every sensor hub detects learning and transmits it to its bunch head. Bunch head mix information from its group and transmit the gathered learning to the base station. A few vitality sparing gradable directing conventions are upheld inside the past like LEACH, HEED, PEGASIS, and TBC. TBC (Tree-based for the most part Clustering) convention is another change over HEED convention that executes intra-bunch correspondence to downsize vitality utilization. each bunch head go about as the root hub of the tree and every sensor hub transmit information to close hub that lies on the on account of the root hub. This convention circulates the vitality stack over all part hubs and thusly adjusts the general vitality utilization of the system. To draw out the system life, this work executes another tree-based bunch steering technique called Tree-Based Energy Efficient Clustering Protocol (TBEEC) (TBEEC). Amid this work, the hub having the lesser separation to the base station and preferable vitality over the contrary hubs of the bunch is hoisted as the group set out toward aspherical. All hubs of group forward their insight to the bunch head by exploitation elective halfway hubs that lie on the on account of the bunch head. Further, amid this work between bunch correspondence is authorized to downsize the vitality utilization. Each group head as opposed to sending blend information on to the base station appearance for halfway bunch head that untruths nearly the base station. This form information must go at the lesser separation that finishes in vitality sparing that delays the system life. The arranged convention beats the confinement of existing TBC convention. The reproduction comes about demonstrate that the arranged convention performs higher than the predominant directing conventions like LEACH, HEED, PEGASIS, and TBC
An IOT Appliance for Controlling the Fan Speed and Accessing the Temperature through Cloud Technology using DHT11 Sensor
Get PDFIn day to day, there are various necessities of common man. Internet of Things is going to play a vital role in applications such as smart home, smart cities, Industrial internet, healthcare systems etc. In this paper, we are presenting the module developed for controlling fan speed based on room temperature and also accessing temperature remotely through cloud. Temperature of the room can be sensed by using DHT11 temperature sensor. If the temperature is low then fan rotates slowly and vice-versa. Temperature of a particular room can be found from anywhere using DHT11 sensor and hosting on cloud. The proposed approach is accurate in terms of processing time, less circuit size, no external clock required and programming an arduino is easy when compared to 8051 micro processor. The developed approach is benefited in terms of preventing the waste of energy when it is not hot enough to use a fan and assist the disabled to switch on or off fan automatically. Experimental evaluation shows that the proposed approach is accurate and also takes less time
Prediction of Plant Disease from Weather Forecasting using Data Mining
Get PDFPlant disease determination is an art and also science. Plant disease is essential problem that lower the quantity and also reduced the quality of agricultural production. Recent, pesticide is applied on plant without learned what the essential requirement of plant. Disease is the main the cause to death the plant and also influences the human health. Data mining is a comparatively novel research in agricultural. In this paper, our aim to develop the system to evaluate high accuracy and also detects the disease of the orange plant. The proposed system use segmentation techniques such as k-means clustering and deep neural network learning to predict the disease based on weather feature of the orange plant. This system helps the farmer to understand the disease of orange plant and also increase the yield of orange plant
Constructing an Office Domain Ontology using Knowledge Engineering Process
Get PDFKnowledge based identification of human activities in systems depends primarily on rich contextual domain knowledge casing all of the information about the human, objects around human and also relations amongst them. Knowledge engineering plays an important role in building knowledge based expert systems, to solve complex problems such as human activity recognition. This requires formal representation of the knowledge which is based on the conceptualization of the domain. Ontology is awidely chosen representational model that depicts knowledge as a set of concepts. In this work, we have applied knowledge engineering process for constructingthe domain ontology of the officeenvironment in agreement with the ontology development life cycle