5975 research outputs found
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Analyzing and Predicting User Navigation Pattern from Weblogs using Modified Classification Algorithm
No full textA Weblogs contains the history of User Navigation Pattern while user accessing the websites. The user navigation pattern can be analyzed based on the previous user navigation that is stored in weblog. The weblog comprises of various entries like IP address, status code and number of bytes transferred, categories and time stamp. The user interest can be classified based on categories and attributes and it is helpful in identifying user behavior. The aim of the research is to identifying the interested user behavior and not interested user behavior based on classification. The process of identifying user interest, it consists of Modified Span Algorithm and Personalization Algorithm based on the classification algorithm user prediction can be analyzed. The research work explores to analyze user prediction behavior based on user personalization that is captured from weblogs.
Mixed Integer Linear Programming for Maintenance Scheduling in Power System Planning
No full textThis paper discussed the merit of mixed-integer linear programming (MILP)-based approach against Lagrangian relaxation (LR)-based approach in solving generation and transmission maintenance scheduling problem. MILP provides a straightforward solution by formulating coupling constraints equations so that these sub-problems can be solved simultaneously without involving multipliers. In LR-based approach, generation and transmission maintenance scheduling, and security-constrained unit commitment have been solved individually and the integration was realized through a series of multipliers which has caused computational burden to the system. Numerical case studies were evaluated on the 6-bus system. A comparative study is carried out between the MILP and LR approaches. Simulation results indicate that the maintenance schedule derived by the proposed MILP approach outperforms the LR in terms of operational cost savings and gap tolerance. The operating cost could be saved up to 5% and the gap tolerance achieved is 0.01% as compared to 0.14% by LR
Identifying A User Interface Web Design Standard for Higher Learning Institutions Using Kansei Engineering
No full textUser interface design plays an important role in web design. Designing a user interface that satisfies the emotional needs of the users is essential as the user interface plays a crucial role in generating remarkable user experiences for websites. A poorly designed user interface leads to bad user interaction while raising the users’ arousal and a displeasing user experience with a website elicits dissatisfaction emotion where consecutively results in avoidance and prevents revisit to the website. A standard emotional based user interface web design would enhance user experience which will lead to success of a website. Kansei engineering which is a popular technique in transforming users’ feelings into product design is used in this research. This study tries to convert the feelings and emotions of users into design elements with the use of Kansei engineering technology in order to design an appropriate higher learning institution website by identifying a standard web design that cultivates emotional engagement. A standard user interface web design guideline for the development of the higher learning institutions’ website has been proposed in this research
Deduplication Analysis of Products In Digital Marketing
No full textAs Digital Marketing is becoming more popular, the number of customer’s interpretation on brands is increasing promptly which makes it firmer for companies to evaluate their brand image and to digital market their products on the web. The Forensic Analysis is used to determine and analyze patterns of fraudulent activities on images. Pixel Analysis and Least square support vector machine are used to compare and associate the scores acquired from the images into one result per tweet. We selected these techniques to compare and find the accuracy of the Digital Marketing images with the received product’s images to identify the fraudulent activities on images in Digital Marketing. As the result of this project the customer can identify whether the received product is exactly what is given in the online purchase website
A Smart Method for Monitoring and Scheming Of Road Luminosity Using GSM Equipment
No full textIn our modern life, energy wastage in Streetlight is a big problem faced in walkways and roads during dawn and dusk. These days, the present road light structures are wired which are hard to make and has poor adaptability. During the daytime, the battery gets charged by sun rays, and the energy can be used to power the road lights at night time. The structure regards sun situated cell foundation. It is like manner delineates the usage of remote sensor frameworks using GSM for streetlight checking and control. This system would give remote access to streetlight upkeep and monitoring. It likewise talks about a perceptive framework that takes programmed choices for sparkling control (ON/OFF/DIMMING) considering encompassing light power and time both at a similar minute. The data collected from the sensor is given to the microcontroller of one unit, and at the same time, the SMS is sent through GSM to the Raspberry PI microcontroller to monitor and control the street light
Attractive Lunar Power Creation Using Enormity and Clean Stream Tube
No full textThe unsustainable way of petroleum products and regular mass vitality era techniques has advanced the utilization of sustainable power source strategies. Among them are sun powered boards which create power utilizing daylight. Regardless, there are different components which annoy the execution of the sun based board and there are factors which increase its competence. Considering each one of those components different components have been suited in the sun fueled board arrangement to update the efficiency of the daylight based sheets. Among them are: Solar Concentration, Solar Tracking, and Solar Panel Cooling. This paper covers the plan, advancement, and experimentation of a model which had every one of these countermeasures incorporated into it. The dazzling some segment of this model was to use another water pipe and gravity for sun based board cooling
Application of Multi Layer Artificial Neural Network in the Diagnosis System: A Systematic Review
No full textBasic hardware comprehension of an artificial neural network (ANN), to a major scale depends on the proficientrealization of a distinctneuron. For hardware execution of NNs, mostly FPGA-designed reconfigurable computing systems are favorable .FPGA comprehension of ANNs through a hugeamount of neurons is mainlyan exigentassignment. This workconverses the reviews on various research articles of neural networks whose concernsfocused in execution of more than one input neuron and multilayer with or without linearity property by using FPGA. An execution technique through reserve substitution isprojected to adjust signed decimal facts. A detailed review of many research papers have been done for the proposed work
Shape and Level Bottles Detection using Local Standard Deviation and Hough Transform
No full textThis paper presents shape and level analysis using local standard deviation and Hough transform technique to detect the shape and level of the bottle. A 155 sample images are used as a test product to detect shape and level. Local standard deviation is used contrast gain technique to segment the shape of the bottle by enhancing the contrast of the image. The ratio of the area is calculated from the extent parameter. The maximum and minimum water level is created by using Hough transform technique to identify the level of the water. Decision tree is applied to classify the shape and level of the bottle either good or defect condition. From experimental result, 97% and 93% accuracy of shape and level is achieved which shows that the proposed analysis technique is potential to be applied for beverages product inspection system
Cuckoo Search Algorithm for Congestion Alleviation with Incorporation of Wind Farm
No full textThe issue to alleviate congestion in the power system framework has emerged as an alluring field for the power system researchers. The research conducted in this article proposes a cuckoo search algorithm based congestion alleviation strategy with the incorporation of wind farm. The bus sensitivity factor data are computed and utilized to sort out the sutiable position for the installation of the wind farm. The generators contributing in the real power rescheduleing process are selected as per the generator sensitivity values. The cuckoo search algorithm is implemented to minimize the congestion cost with the embodiment of the wind farm.The proposed method is tested on 39 bus New England framework and the results obtained with the cuckoo search based congestion management approach outperforms the results opted with other heuristic optimization techniques in the past research literatures
A Comprehensive Survey on Exiting Solution Approaches towards Security and Privacy Requirements of IoT
No full text‘Internet of Things (IoT)’emerged asan intelligent collaborative computation and communication between a set of objects capable of providing on-demand services to other objects anytime anywhere. Alarge scale deployment of data-driven cloud applications as well as automated physical things such as embed electronics, software, sensors and network connectivity enables a joint ubiquitous and pervasive internet based computing systems well capable of interacting with each other in an IoT. IoT, a well-known term and a growing trend in IT arena certainly brings a highly connected global network structure providing lot of beneficial aspects to a user in terms of business productivity, lifestyle improvement, government efficiency etc. It also generates enormous heterogeneous and homogeneous data needed to be analyzed properly to get insight into valuable information. However, adoption of this new reality (i.e. IoT) by integrating it with the internet invites a certain challenges from security and privacy perspective. At present a much effort has been put towards strengthening the security system in IoT still not yet found optimal solutions towards current security flaws. Therefore, the prime aim of this study is to investigate the qualitative aspects of the conventional security solution approaches in IoT. It also extracts some open research problems that could affect the future research track of IoT arena