An Architecture for Simplified and Automated Machine Learning

learning has been adopted by businesses to analyze their vast data in order to make strategic decision. However, knowledge in machine learning and technical skill are usually required to prepare data and perform machine learning tasks. This obstacle prevents smaller businesses with no technical knowledge to utilize machine learning. In this paper, we propose an architecture for simplified and automated machine learning process currently supporting the data classification task. The architecture includes a method for characterizing datasets, which allows for simplifying and automating machine learning model and hyperparameter selection based on historical execution configurations. Users can simply upload their datasets via a web browser, and the system will determine the possible models and their hyperparameter configurations for the users to choose from. The prototype shows the feasibility of the proposed architecture. Although the accuracy is still limited by the small execution history and the cleanliness of the input datasets, the architecture can minimize user involvement in the machine learning process so that non-technical users can perform data classification through a web browser without installing any software

A CRITICAL ANALYSIS STUDY ON OTALGIA MANAGEMENT BY GARLIC DROPS AND BENZOCAINE DROPS- AN ATTEMPT TO COMPARE THE EFFICACY OF MODERN AND AYURVEDA MEDICINE IN A SINGLE AILMENT

Otalgia or ear ache is a symptom which will hamper the daily activities of individual, and a cause of unease or discomfort. There might not be any single individual who has not affected with earache in their lifetime, atleast once in their span of life..Even today there is no specific permanent remedy to this condition in advance modern medical system despite of some Otogesics which will only mask the pain. The common Over the Counter medicines available on medical stores are having side effects on continuous usage. So there is a need for safe Ayurvedic medicine which can acts better like modern analgesics but less side effects. Methodology: In this comparative study of Lasuna putapaka swarasa (Garlic Drops) and Benzocaine Otogesic drops, 40 patients of Otalgia were randomly selected and divided to two groups of 20 patients each. Group A was treated with the ear drops of Lasunaputapaka swarasa (Garlic Drops) and Group B was treated with Benzocaine Otogesic ear drops. Observations: It was observed in the present study that Group A showed better results in reducing the symptoms of Otalgia. Re-occurrence of symptoms were merely less in Group A patients compared to Group B patients. Conclusion: There is a false assumption that Ayurvedic medicines are slow acting and desperately using for pain management and acute conditions. But this study throwing a light to substantiate that, Ayurvedic medicines are potent enough to manage acute otalgia also, just like Otogesics in Modern Medical Science. The study revealed that the re-occurrence rate of symptoms was very less in patients who used Garlic drops and was safe acting also

Finding the Optimal Value for Threshold Cryptography on Cloud Computing

The objective of using threshold cryptography on cloud environment is to protect the keys, which are the most important elements in cryptographic systems. Threshold cryptography works by dividing the private key to a number of shares, according to the number of virtual machines, then distributing them each share to each virtual machine. In order to generate the key back, not all the shares are needed. Howerver, the problem is that there has been no research attemping to find a suitable threshold value for key reconstruction. Therefore, this paper presented a guildline designed and implemented that can assist to choose such value. The experiment was setup using CloudSim to simulate cloud environment and collecting time taken in key distribution and key reconstruction process to achieve the optimal threshold value