The E-Health Cloud Platform Now Supports A Keyword Search Related To Timer Use And Lab-Enabled Proxy Recoding

The delivery of healthcare may be vastly enhanced by the introduction of novel software, such as an electronic health record system. Users' fundamental concerns about the privacy and security of their personal information may be slowing the systems' widespread adoption. The searchable encryption (SE) method is a promising option for the electronic health record system due to its ability to provide strong security without sacrificing usability. Our research introduces a new cryptographic primitive, which we've termed "Re-dtPECK." It's a time-dependent SE approach that combines conjunctive keyword search with a designated tester and a proxy reencryption function that takes time into consideration. Patients may use this function to provide access to their data to carefully chosen researchers for a short period of time. Any allotted period for a delegatee to view and decode their delegator's encrypted papers may be extended if required. It's possible that the delegate's access and search capabilities will expire after a certain period of time has passed. It's also capable of conjunctive keyword searches and resisting assaults based on guessing. Only the authorized tester is allowed to look for the existence of certain keywords in the proposed method. We provide a system model and a security model for the proposed Re-dtPECK approach to prove that it is a safe and effective replacement for the existing standard. Simulations and comparisons with other methods show that it requires very little bandwidth and storage space for data

Breast Cancer Detection using Two Dimensional Principal Component Analysis and Back Propagation Neural Network

Breast cancer is the most common cancer which affects women around the world. It has been increasing over the years. Detection and diagnosis is the main factor for breast cancer control which increases the success rate of treatment, saves lives and reduce the cost. This paper proposes an efficient approach for breast cancer detection in mammogram breast images using two dimensional principal component analysis and back propagation neural network. The proposed approach consists of four step by step procedures namely preprocessing of breast images, image enhancement, feature extraction and classification. Two dimensional principal component analysis is used to obtain the features of the preprocessed and enhanced image. The reason for selecting two dimensional principal component analysis is it is easier to evaluate the covariance matrix accurately and less time is required to determine the corresponding features. Finally, Back propagation neural network is used to classify whether the given mammogram image is normal or abnormal. Simulation results are carried out using the proposed approach by considering MIAS data base. From the results, it is observed that proposed approach provide better accuracy

STRUCTURING AN LESS REGULATE RF FRONT-END CIRCUIT

Consequently, circuits operating from really low supply voltages have grown to be essential and therefore are underactive research. Our prime power consumption comes from the truth that an LNA must provide synchronized wideband matching, high gain, low noise, and linearity, which typically require high power and supply voltages. This paper presents a design methodology to have an ultra-low-power (ULP) and ultra-low-current (ULV) ultra-wideband (UWB) resistive-shunt feedback low-noise amplifier (LNA). The ULV circuit design challenges are discussed along with a new biasing metric for ULV and ULP designs in deep sub micrometer CMOS technologies is introduced. Exploiting the brand new biasing metric, the look methodology, and series inductive peaking within the feedback loop, a broadband LNA having a current reuse plan is implemented inside a CMOS technology. Series inductive peaking within the feedback loop is examined and used to boost the bandwidth and noise performance from the LNA

DEVISE OF ELEGANT BUILDING WITH PROTOCOL USING INTERNET OF THINGS

The term "Internet of Things" or "IoT" describes a warm as well as virgin location that is getting relevance each day with raising innovation in innovation. With the assistance of micro-controllers like ARM as well as microcomputers like LPC2148, low-cost tools could be made use of to gauge sensing unit information and also send it online. Likewise, DALI (Digital Addressable Lighting Interface) is a brand-new component of interaction in between the electric devices as well as a web server or computer system that will certainly cause a reliable awareness of a smart-grid. This paper covers the interaction of a DALI network of a team of lights with an ARM7 (broker) over MQTT (Message Queuing Telemetry Transport) procedure maintaining the principle of IoT behind-the-scenes. This technique showed to enhance power use by ideal regulating the strength of LEDs at different floorings of the CDAC wise structure

IMPLEMENT ONLINE BASED HUGE APPEARANCE SERVICES FOR TELECOMMUNICATION DATABASES

Important advance has in the previous endorse winging it of web telemedicine table arrangement dance. Particularly indexes as a meaningful category of the above-mentioned techniques robust regard in many studies. Web telemedicine bibliography techniques enable good capacity persistent shipment of victim data on any occasion basic. We initiate a mixed web data services that affirm effective comeback time for vast techniques of Tele-health index care. Our point up present table care by demand scenarios in industrious telemedicine arrangements to upgrade care admissions and weaken care difficulties. In our work, we unveil a three-fold manner and that exist the basis of data disjunction, index websites clustering farther original data distribution

Effect of biofertilizers and micronutrients on growth, leaf yield and quality of coriander (Coriandrum sativum L.) cv. Sadhana

A field experiment was conducted during rabi 2015-16 at Research Farm, College of Horticulture, Dr.Y.S.R. Horticultural University, Anantharajupeta (Andhra Pradesh), India, to study the effect of different biofertilizers and micronutrients on growth, leaf yield and quality of coriander (Coriandrum sativum L.) cv. Sadhana. The experiment was conducted in a factorial randomized block design with biofertilizers and micronutrients. The biofertilizer treatments were seed inoculation with Azospirillum, Phosphate Solubilising Bacteria (PSB), Azospirillum + Phosphate Solubilising Bacteria (PSB) and control (without any biofertilizer), while the micronutrient treatments comprised of foliar sprays of Zinc sulphate, Copper sulphate, Ferrous sulphate each at @ 0.5% and control (without any micronutrient). The sixteen treatment combinations were replicated thrice. Among the treatments, seed inoculation with Azospirillum + PSB+ foliar spray of zinc sulphate @ 0.5% recorded maximum plant height, number of primary branches, leaf area, fresh leaf yield per plant, leaf yield per plot, leaf yield per hectare, dry matter production, protein content, ascorbic acid content and moisture content. While, the lowest days to germination and leaf chlorophyll contents were recorded with the seed inoculation of Azospirillum + PSB + foliar spray of ferrous sulphate @ 0.5%

Spammers Detection on Twitter by Automated Multi Level Detection System

Twitter is one of the most well known micro-blogging administrations, which is commonly used to share news and updates through short messages confined to 280 characters. In any case, its open nature and huge client base are every now and again misused via robotized spammers, content polluters, and other not well expected clients to carry out different cyber violations, for example, cyber bullying, trolling, rumor dissemination, and stalking. Likewise, various methodologies have been proposed by specialists to address these issues. Nonetheless, the majority of these methodologies depend on client portrayal and totally dismissing shared communications. In this examination, we present a hybrid methodology for recognizing mechanized spammers by amalgamating network based features with other feature classifications, to be specific metadata-, content-, and association based features. The curiosity of the proposed methodology lies in the portrayal of clients dependent on their communications with their supporters given that a client can dodge features that are identified with his/her very own exercises, yet sidestepping those dependent on the devotees is troublesome. Nineteen distinct features, including six recently characterized features and two re-imagined features, are distinguished for learning three classifiers, in particular, irregular woods, choice tree, Bayesian system, and example pre-handling on a genuine dataset that involves generous clients and spammers. The separation intensity of various feature classifications is additionally broke down, and cooperation and network based features are resolved to be the best for spam identification, though metadata-based features are demonstrated to be the least compelling

RAPID AND ECONOMICAL QUANTITATIVE DETERMINATION OF SEVERAL ANTIHYPERTENSIVE AGENTS IN PRESENCE OF HYDROCHLOROTHIAZIDE BY ISOCRATIC REVERSED-PHASE HIGH-PERFORMANCE LIQUID CHROMATOGRAPHY IN THEIR PHARMACEUTICAL PREPARATIONS

Objective: Objective of the present investigation is to develop a speedy isocratic reverse phase high-performance liquid chromatography (RP-HPLC) method for the separation and quantitative determination of 5 angiotensin II - receptor antagonists, namely, telmisartan, losartan, valsartan, olmesartan, irbesartan, and atenolol along with thiazide diuretics mostly hydrochlorothiazide (HCTZ).Methods: RP-HPLC method was evolved using Welchrom C18 column (4.6 × 250 mm, 5 μm) as a stationary phase with the mobile phase comprising a variety of phosphate buffer with pH-3.3 and acetonitrile in the proportion of 50:50 v/v. The mobile phase was pumped at a current rate of 1 mL/minute. The detection wavelength was carried out at 230 nm.Results: The total run time was 6 minutes and the elution window of only 3 minutes. The peaks were eluted with decorous resolution. The calibration curves were linear (r2=0.9998) in all cases. The percentage relative standard deviation (RSD%) was <2% and average recovery was above 99.95%. The method was validated specificity, precision, and accuracy. High recovery values and low RSD% prove that this method is very accurate and reproducible. The developed method was applied to the estimation of the above-said drugs in binary combinations from different manufacturers which were a good agreement with label claim.Conclusion: The important advantage of developed method was that the five individual drugs can be determined on a single chromatographic system without alteration in detection wavelength and mobile phase composition. This novel method was statistically validated as per ICH guidelines. The optimized method proved to be linear, accurate, and robust. Hence, the above said proposed method was found to be a rapid tool for the routine determination of the above-said drugs in alone or combination with HCTZ in quality control analysis without interference of excipients

Controlling of Home Appliances Using Internet of Things

In this new millennium of modern technology, everything is getting automated. Manual work is replaced by machines which reduced the burden on human beings. Nowadays humans have made internet an integral part of their everyday life without which they are helpless. Internet of Things (IoT) is a network of networks in which each object is identified by a unique identity that allows devices to connect, sensed and controlled remotely across a network infrastructure. In this paper we focus on controlling of home appliances by using internet of things. The devices connected to the cloud server are controlled by admin by giving commands. The controlling can be done by using Arduino. This whole system using Internet of Things (IoT) will be used to control home appliances from anywhere in the world by using internet connection. The system designed is economical and can be expanded as it allows connection and controlling of a number of different devices. Internet of Things (IoT) is an emergingtechnology that is making our world a global village. An IoT based Home automation is also one of such examples. In IoT based home automation various things such as lighting, home appliances, computers etc., all are connected to the Internet and allowing user to monitor and control things regardless of time and location constraint. This paper uses ThingSpeak IoT Platform for controlling home appliances through internet. The proposed system presented in this paper is used for controlling of home appliances through Internet of Things(IoT)