Business Process Model for IOT Based Systems Operations

The internet of things (IoT) is an innovative and advanced high-level IT development that provides the connection between a large network of devices equipped with numerous computing capabilities, actuation, and sensing with the help of internet connection, consequently providing multifarious novel services regarding smart systems. All around the globe the attractive big data analytics and IoT services are allowing initiatives regarding smart systems. Business processes are commonly executed inside the application systems where computers, objects of IoT as well as humans participate. However, for the system-supported processes, the use of IoT technology is still facing the problem of the absence of a standard system architecture that is essential to manage the coordination in a smart IoT environment. Business process management (BPM) is regarded as a substantial technique for designing, controlling, and improving the processes of a system. This article introduces a BPM modeling approach for IoT-based systems operation exploits IoT using BPM by adopting an IoT framework architecture and considering IoT data for interaction in a defined process model. The methodology has been carried out on top of current BPM modeling notions and system techniques for formal representations of the system and also to get through the challenges of collaboration and connection

Prenatal Programming of Hepatic Glucose and Cholesterol Regulation in Male Rat Offspring by Chronic Intermittent Hypoxia

Obstructive sleep apnea (OSA) is a chronic disorder involving repetitive interruptions in breathing during sleep. Sufferers of OSA are exposed to chronic intermittent hypoxia (CIH), characterized by cyclical reductions in oxygen availability. A number of studies have established a link between OSA and various cardiovascular and metabolic comorbidities in adulthood, including hypertension, obesity, and type II diabetes. While the consequences of OSA in adults have been well described, the cross-generational impact of this condition and potential effects on fetal development are not known. Epidemiological and animal studies have demonstrated that physiological insults during pregnancy lead to diminished growth of offspring and impairments in long-term metabolic health. The following studies were performed to investigate the alteration of metabolic health as a result of gestational exposure to CIH, the underlying physiological condition in OSA. Exposure to CIH during pregnancy resulted in asymmetrically growth restricted offspring with lower birthweights compared to normoxic offspring. In adulthood, male CIH offspring had higher body weights and higher visceral adipose tissue. Gestational CIH caused impairments in glucose homeostasis, as male CIH offspring were hyperglycemic, hyperinsulinemic, and showed impaired early-stage glucose tolerance in adulthood. Molecular analysis revealed that CIH offspring have diminished regulation of hepatic gluconeogenic pathways by the Liver X Receptor (LXR), leading to increased expression of hepatic markers associated with gluconeogenesis and increased glucocorticoid signalling. Adult male CIH offspring were also hypercholesterolemic with decreased expression of LXR target genes associated with cholesterol metabolism and excretion. Taken together, these results describe changes in hepatic function that result in impaired regulation of glucose and cholesterol homeostasis in adulthood. The findings of this thesis provide insight into the long-term consequences of insult during gestation, and highlight the importance of giving consideration to OSA in assessing maternal health and predicting fetal outcomes

Usability Enhancement of SMS Interface for Illiterate Users

This article analyzes several User Interface (UI) designs and puts forward some more general design principles for interfaces designed for low-literate users. The results of this study highlight the importance of text-free interfaces compared to text-based interfaces for the illiterate and low-literate population. The study developed a Short Message Service (SMS) interface consisting of many design elements, including graphical icons, voice, and text reduction. The participants were more satisfied with the designed SMS interface as compared to the traditional text-based interface of SMS. We believe that if the user interface is appropriately designed, users will not need formal literacy, computer skills, or any external help to operate the application. It has been shown that an interface with minimal or no text but one or more graphics, audio, and digital components is helpful for users with low literacy rates

Comparative Analysis Of Cloud Computing Security Issues

Almost all the organizations are seriously thinking to adopt the cloud computingservices, seeing its benefits in terms of cost, accessibility, availability, flexibility andhighly automated process of updation. Cloud Computing enhance the current capabilitiesdynamically without further investment. Cloud Computing is a band of resources, applicationsand services. In cloud computing customer’s access IT related services in terms of infrastructure platform and software without getting knowledge of underlying technologies. With the executionof cloud computing, organizations have strong concerns about the security of their data.Organizations are hesitating to take initiatives in the deployment of their businesses due to data security problem. This paper gives an overview of cloud computing and analysis of security issues in cloud computing

The Hormonal Seed Priming in Relation to Carrot Germination

Seed priming is a pre-sowing treatment used to reduce stress effects in crops .This technique has been used to increase the germination rate of seeds mainly under unfavorable environmental condition. Crop productivity faces many problems like that unavailability of suitable condition that causes unbalanced seedling growth and poor germination. Hormones are essential to improve plant growth, development, crop yield quality and quantity. Auxin is essential hormones that improves germination of seeds and reduce stress effects. Laboratory experiment was conducted to study the effect of seed priming using different concentrations of IAA and IBA on carrot seeds (Daucus carota). In laboratory experiment, three concentrations of IAA and IBA (75 ppm, 50ppm, 25ppm) treated with distilled water with priming duration of 24 hours. Experiment was laid out in CRD with three replications. Data was collected to investigate the effect of seed priming with IAA and IBA under these condition like that (fresh weight, dry weight, speed of germination, root length, seed length, seedling length, final germination rate, mean germination time and dry matter content). Maximum fresh weight, final germination percentage, seedling length, energy of germination, speed of germination and mean germination rate was recorded IBA 75ppm. Maximum dry weight and dry matter content was observed IBA 25ppm.Maximum shoot length was recorded IBA 50ppm. Non-significant difference was recorded in root length

Guiding Deep Learning with Expert Knowledge for Dense Stereo Matching

Dense depth information can be reconstructed from stereo images using conventional hand-crafted as well as deep learning-based approaches. While deep-learning methods often show superior results compared to hand-crafted ones, they commonly learn geometric principles underlying the matching task from scratch and neglect that these principles have already been intensively studied and were considered explicitly in various models with great success in the past. In consequence, a broad range of principles and associated features need to be learned, limiting the possibility to focus on important details to also succeed in challenging image regions, such as close to depth discontinuities, thin objects and in weakly textured areas. To overcome this limitation, in this work, a hybrid technique, i.e., a combination of conventional hand-crafted and deep learning-based methods, is presented, addressing the task of dense stereo matching. More precisely, the input RGB stereo images are supplemented by a fourth image channel containing feature information obtained with a method based on expert knowledge. In addition, the assumption that edges in an image and discontinuities in the corresponding depth map coincide is modeled explicitly, allowing to predict the probability of being located next to a depth discontinuity per pixel. This information is used to guide the matching process and helps to sharpen correct depth discontinuities and to avoid the false prediction of such discontinuities, especially in weakly textured areas. The performance of the proposed method is investigated on three different data sets, including studies on the influence of the two methodological components as well as on the generalization capability. The results demonstrate that the presented hybrid approach can help to mitigate common limitations of deep learning-based methods and improves the quality of the estimated depth maps

Gall stones: a fundamental clinical review

Formation of stones in the gall bladder is known as cholelithiasis. About 10% to 20% of Western population are suffering from gall stones and this percentage is increasing day by day. Biochemically gall stones are classified into black pigment stones, brown pigment stones and cholesterol stones. Gall stones can be anatomically located at two possible sites; in the gall bladder known as cholelithiasis and in the common bile duct known as choledocholithiasis. Gall stones may present with symptoms known as symptomatic gallstones or without symptoms known as asymptomatic gallstones. The major causes of gallstones are high cholesterol diet, low bile salt levels, decreased gall bladder motility etc. Obesity, female gender, family history, rapid weight loss and vitamin B12 or folic acid deficiency are considered as important risk factors in the development of gall stones. The clinical presentations include acute cholecystitis and febrile illness with pain and tenderness in the right upper quadrant (Murphy sign). Generalized body weakness and weight loss are considered as generalized symptoms of gallstones. The complications include cholangitis, empyema of gall bladder, pancreatitis, abscess formation, porcelain gall bladder and gall bladder perforation. The differential diagnosis of gall stones is carried out based on endoscopy, ALT and AST serum levels. Non-surgical treatment for gall stones is oral dissolution therapy. The standard surgical treatment for gall stones is cholecystectomy