Volume 6 | Issue 2 |

 Abstract

The self-starting detection of leaf disease is necessity topic as it is an advantage in monitoring large crop fields. The existence of disease in plant means the growth of plant can be destroyed. In this computing stage image processing techniques are used to study the various plants leaf diseases. In this paper we apply a methodology that is based on Fuzzy based system and used segmentation to distinguish critical or non-critical section to detect plant disease. First of all image is pre-processed, and then segmentation is done by using SVM technique and at the last classification is done by using FSVM method. The simulation results shows that the overall accuracy is improved and MSE reduced by 10%.

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 Keywords

MSE, SVM, Plant Disease.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

BACKGROUND: Pelvic tilt angle is defined as the angle between the horizontal plane and the line passing through the center of the PSIS and center of ASIS. Clinically use of a pelvic inclinometer to measure pelvic inclination angles is a quick, non-invasive, user-friendly method. In the present study we have devised a similar method of measuring pelvic tilts by means of an self designed pelvic inclinometer METHODOLOGY: A self designed Pelvic inclinometer was used to measure pelvic inclination angle. All the subjects were explained the purpose of the study, Inclusion and exclusion criteria were assessed, informed consent was obtained and ethical clearance was obtained from the institution. For this, a pilot study was done with 10 asymptomatic people aged between 18 to 30 years. Pelvic inclination angle of Rt. And Lt. innominate bone was measured to test intertester and intratester reliability. RESULTS: A significant and positive correlation was observed between tester 1 and tester 2 scores of pelvic tilt right side (r=1.0000, p=0.0001) and left side (r=0.7101, p=0.0001) and significant and positive correlation was observed between test and retest scores of pelvic tilt right side by tester 1 (r=1.0000, p=0.0001) and left side by tester 1 (r=0.7986, p=0.0001). CONCLUSION: Pelvic inclination angle recorded by Self designed Pelvic inclinometer is highly reliable to use clinically.

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 Keywords

Pelvic tilt, inclinometer, reliability

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: Skin malignancy is the most well-known reason for death among people. Skin disease is unusual development of skin cells frequently creates on body presented to the daylight, yet can happen anyplace on the body. Since this cancer is visible on the skin, it is potentially detectable at a very early stage when it is curable. With the new innovation, early identification of skin growth is conceivable at beginning stage. Early technique for analysis skin growth location is Biopsy technique [1]. It is finished by evacuating skin cells and that example goes to different research centre testing. It is difficult and tedious process. In this paper we present Particle Swarm Optimization (PSO) for segmentation and Hidden Markov Model (HMM) for the classification of skin lesions. The input to the system is the skin lesion image and it goes under different pre-processing method for noise removal and image enhancement. At that point the picture is experienced to division utilizing PSO strategy. A few highlights of picture must be extricated utilizing GLCM system. These highlights are given as the contribution to classifier. Hidden Markov Model (HMM) is utilized for characterization reason. It conclude about the presence of skin cancer or not.

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 Keywords

Pre-processing, skin lesion, particle swarm optimization, GLCM, hidden markov model, melanoma

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Long jump, Plyometric, Core stability, Core endurance, SLJ, SSC.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract : Organizations around the globe especially the ones in emerging countries are stroked with the issue of providing their services to users with the use of information technology. Universities have faced such issue for the provision of services like teaching, research, learning and development activities in line with the quality of education. Major concern for that is the high cost factor of providing and maintaining the required software and hardware for their system. Technology like cloud computing that works on the model of provisioning IT resources on-demand criteria can be adopted to overcome this problem. This technology ensures improved quality of services linked to IT, as the services are available for users whenever and wherever they want at a reduced cost as they have to pay according to pay per use criteria which can be said as utility-based model. Despite of these advantages, challenges that are associated with its adoption in various sectors especially higher education sector have faced hurdles to commit to cloud computing. This paper identifies various issues and benefits of cloud computing in higher education institutes.

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 Keywords

Cloud,IaaS,SaaS,PaaS,DaaS.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Listening, Speaking Skills, Peer work, Assertiveness, Independent Learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this paper to proposed a continual (iterative) method to label the face identification dispute with occlusions. This approach handles the robust representation problems based on two characteristics to mock-up flanking errors successfully. First characteristic controls the error distribution characterizes by a tailored loss function and second characteristic label by a specific structure (low-rank image comparison with image size). F-LR-IRNNLS (Fast low rank iteratively reweighted non negative least square) algorithm to model the strong (robust) representation for face identification. The robust representation scheme performs efficiently on face identification during occlusions of 70%. In this paper to proposed a SVD (Singular Value Decomposition) method for face identification, at SVD method determines the low-rank (structural) representation of a image, and also eliminates the small singular values in a face. To introduce SVD method in face identification by compressed the image to improve the performance than compare to F-LR-IRNNLS method.SVD method to improve the performance of face identification and speed up the face identification, the experiment of face identification conduct on GUI (Graphical User Interface) technique.

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 Keywords

Singular Value Decomposition (SVD), face identification, Robust, low rank representation, contiguous errors, GUI technique.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Smart Jacket, Arduino, Peltier Effect, Extreme weather, Temperature Sensor

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Flex Sensor, Raspberry Pi, E-speak, Exim-4, Sign Language

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Boolean functions are one of the main objects of discrete mathematics. The class of monotone Boolean functions is pre-complete in the set of all Boolean functions, that is, there is no class of Boolean functions which is closed (with respect to superposition), contains all monotone functions, and differs both from the class of monotone Boolean functions and from the set of all Boolean functions. In the present article our aim is to discuss the basic structure and functions of closed classes of monotone Boolean functions.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition