Volume 9 | Issue 5

 Abstract

ABSTRACT- The Khapra beetle T granarium everts is one of the most destructive insect species of stored food worldwide & is subject to strict phytosanitary legislations In present study ,We evaluated the larval mortality of T,granarium on concrete surface treated with three different medicinal plant leaves (Tobacco leaves, Pudina leaves and Tulsi leaves) The result that ,the medicinal plant leaves powder should high efficiency against T granarium with respect to mortality Tobacco leaves powder most effective medicinal plant powder against T.granarium in compare of pudina &tulsi leaves powder showed no toxicity on treated rat relative to control with respect to biochemical & histological changes The results suggest the ability of using these leaves powder for wheat grains protection as a Safe alternative to insecticides.

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KEYWORD- Pudina, Tulsi, Tobacco, Wheat grain, T. granadium

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Blood donation and transfusion has been an ever-serious issue and the shortage of blood throughout the world has caused many people to lose their life. The lack of a centralized system for blood donation is majorly responsible for those losses. Now in the era of online and digital processes, the conventional methods of collecting blood are absolute. An automated system is required to manage the centers and to showcase the information to the interested parties. We have developed a website that singlehandedly solves all these issues related to blood donation and reception. We have designed a SQLite database as an integral part of the integrated framework to store historical blood donation data in a centralized database for analytical processing. The proposed system would enable people to register as a donor to make themselves available whenever in need of their blood type. We have introduced a search tab to search available people ready to donate. In our proposed system in the donor registration, health-related details would be updated in the blood management system database for all to see.

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Blood Donation, transfusion, centralized system, conventional methods, automated system, analytical processing

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 Abstract

SOCIOLOGICAL CONTOURS OF PROTEST FOR QUEST OF FOOD IN INDIA TODAY

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SOCIOLOGICAL CONTOURS OF PROTEST FOR QUEST OF FOOD IN INDIA TODAY

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There is an audio lag/packet loss in the video streaming/meeting services and video platforms, and sometimes listeners cannot understand what their host is talking about because of network connectivity issues. This generates delays/communication errors in the meeting/streaming and the audience cannot understand the message. Lip-Reading is an art that helps a listener understand, even without hearing it and just observing the Lip-movement, what a speaker tries to say. It's this combination of using a person's lip gestures, facial eloquence, and other nonverbal cues to "read" speech. We describe a recurrent neural network-based system for text-to-speech (TTS) synthesis that can generate speech audio in the voice of different speakers by reading their Lip-movements, including those unseen during training. Our model will demonstrate these capabilities by reading the speaker's face by extracting the Lip features. Next, the model will convert the Lip-movements to sound waves using relevant APIs. Following this, our model will generate artificial speech, synchronous to the speaker.

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Lip Reading, text-to-speech, Lip2Wav, Wav2txt

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Skin Lesion, CT Images, Support Vector Machines, Gray Level Co-occurrence Matrix (GLCM)

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Hypertension is a medical condition in which blood pressure is chronically elevated. According to WHO World Health Report 2002, there are approximately 600 million people suffering from hypertension in the world. It causes an estimated 50 millions premature deaths and 13% of global fatalities worldwide. This study aimed to assess the dietary habits, body mass index and blood pressure among hypertensive clients residing at Muthialpet, Puducherry, INDIA. Methods: Cross-sectional Survey design was used among 30 hypertensive patients (patients with a confirmed diagnosis of hypertension for at least six months or with current blood pressure ? 140/90 mmHg). Data were collected using Semi structured Questionnaire consists of Demographic variables, BMI Assessment, Dietary habit during the past month. Results: With regard to the assumption of this study, a statistically significant relationship was found between Fatty foods consumption, Fruits, Vegetable, Salty foods and Systolic Blood Pressure (SBP) and diastolic blood pressure (DBP). BMI has not found statistically significant relationship with either Systolic or Diastolic Blood pressure at p<0.05. Conclusion : Lifestyle related risk factors such as consumption of unhealthy diets were evident of increase in Systolic Blood Pressure and Diastolic Blood Pressure of hypertensive patients.

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BMI, Fatty foods consumption, Fruits, Vegetable, Salty foods and Systolic Blood Pressure (SBP) and diastolic blood pressure (DBP)

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Intranet access has become an essential function for corporate users. At the same time, a corporation's security administrators have little ability to control access to corporate data once it is released to remote clients. At present, no confidentiality or integrity guarantees about the remote access clients are made, so an attacker may have compromised a client process and is now downloading or modifying corporate data. Even though we have corporate-wide access control over remote users, the access control approach is currently insufficient to stop these malicious processes. We have designed and implemented the Session Security VPN network infrastructure that empowers corporations to verify client integrity properties and establish trust upon the client policy enforcement before allowing clients (remote) access to corporate Intranet services. Client integrity is measured using Routing and Remote Access Services (RRAS), a new security technology that is becoming broadly available on client systems, and our system uses these measurements for access policy decisions enforced upon the client's processes. We have implemented Microsoft Operating System along with Domain/Client prototype system that utilizes the RRAS measurement and attestation, existing network control, and existing corporate policy management tools. This prototype illustrates that our solution integrates seamlessly into scalable corporate policy management and introduces only a minor performance overhead.

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VPN, Tunneling, RRAS, SSVPN, Protocols, Domain

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The automated approach of assessment and grading of a structured C++ program on basis of generalised inter - lingua and expert specification achieves a faster and consistent evaluation of the program on basis of language features used, grades provided and time consumed for the completion of evaluation process. The areas of the program in terms of components where the grades can be enhanced form the achieved grades can also be suggested by such automated process of assessment. Adapting to the novel approach of implementing components of a program also adds to the knowledge base of expert specification for future cycles of assessment and grading

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Automatic evaluation, automatic grading, structural evaluation, inter - lingual representation, component-based evaluation, contextual binding

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TEM (Thermo Electric Module), TEC (Thermo electric cooling)

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Abstract: Salmonella enteritidis is a serotype of Salmonella enterica which causes Non-typhoidal and Gastro-intestinal infection in both humans and animals. Chicken IgY has been identified as an alternative for the treatment of non-typhoidal salmonellosis. 21 weeks old white leghorn chicken which lays eggs was immunized with Salmonella enteritidis. The anti-Salmonella enteritidis IgY was purified and their protein content was estimated. The specificity of produced IgY was tested with Rapid Agglutination test, Micro agglutination test and Cross reactivity test. SDS-PAGE analysis of IgY showed a protein profile of the IgY, antibody titer potency of each serum and IgY was determined by Indirect ELISA. The present study was conducted to develop both Direct and Indirect ELISA kit for the detection of Salmonella enteritidis infection.

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Keywords: Gastro-intestinal infection, Salmonella enteritidis, IgY, ELISA, SDS-PAGE, Micro agglutination, Cross reactivity, ELISA kit

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Automatic assessment of the performed practical program of a student, independent of the approach, has always been a challenging job. Hence continuous progress for improvisations in evaluation techniques has been observed over the time. A lack of automatic evaluation of structural components of the program is also observed. This paper presents the system developed to automate the process of evaluation and grading of a structured C++ program in terms of structural and contextual requirement of required components from the program. The system represents the automated process to evaluate, grade and also suggests grade enhancement measures from the program provided for evaluation.

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Polarographic Maxima, Diffusion Current, Kinetics of Electrode Processes, Stability of Complex Ions in Solution, Thermodynamics.

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The productivity level of construction industry is mostly depending upon three factors labour characteristics, management systems/software and external issues. Different researchers have determined different factors that impact construction productivity. Understanding the level of productivity, it is important to develop innovative practices and techniques to improve construction productivity. In this work comparison of proposed approach with traditional approach in terms of Planning, controlling and execution has been done. In this work Autodesk take off is used for Planning, primavera is used for Execution and Buildtrend is used for Control. The paper gives review on different method which is used for measurement of construction productivity, factors affecting and theories on improvement of construction productivity such as labour factor, management factors and external factors, the paper further reviews different innovations which are made for improvement in construction productivity. It is observed that there are lot of different methods and strategies for improvement of construction productivity but they differ from site conditions and the factors which influence construction productivity. In this paper evaluation of latest and traditional approach for G+9 and G+6 residential building has been done.

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Labor Productivity, Construction Management, Software, Materials Management, Safety, Primavera Approach.

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Breast cancer is the world's second leading cause of death in women. The cause of the disease may be genetic or unknown. Since it is asymptomatic in the initial stage, early detection and diagnosis are critical for breast cancer prevention, it can increase the success of treatment and save lives. Ultrasound imaging is one of the most common screening techniques for identifying and classifying breast disorders. A computer-aided diagnosis (CAD) framework is a valuable and useful means for breast cancer identification and classification because it reduces operator dependence and increases diagnostic accuracy. In this paper clinical breast examination (CBE) methods and literature survey related to detection and classification of lesions/tumors in breast ultrasound images have been discussed.

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Ultrasound,, SRAD, SVM, Entropy, Contrast

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Anxiety, stress, depression, fear of death, caregivers ,cancer patients

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Methodologies that depend on them Deep Learning has a lot of potential for applications that produce captions or a short summary for images and video frames automatically. In imaging technology, image and video captioning are mentally difficult challenges. Automated caption development for photos and videos for human being with different levels of vision impairment; Among the technology fields are automatic metadata production for videos and images that can be used by online services; robot vision systems; and many others.in The focus of this research is on the algorithmic overlap between images and videos discerption.

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Caption, Image Caption, Video Caption, CNN, RNN, LSTM

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To save power consumption we gave automatically turn ON and OFF by using with timer and with motion sensor so that we save more consuming electrical energy .Our project is mainly to save energy and it can be renewable also, the lights will be automatically off because we will set timer for the light connection when to ON OFF. Motion sensor is to detect the motion of the item. And that we can detect the motion up to 180 degree within the area, By using Blynk app we are able to operate the on/off and also we are able to use the timers for setting the time that may save our energy without wasting it which time we are able to keep what percentage hours we wish we are able to keep through timer settings . Relays are used to control for opening and closing the electrical device and acts like a switch. More over in this current world many of them are wasting the power consumption by turning the lights on during day times our motto is to reduce the power consumption and make them awareness of the Electricity bill. Many changes has been developed and developing the smart street light system through technology. Infrared sensor is the sensor which can detect the object in our surrounding. By detecting sensor we can save more energy and it can be renewable.

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: Motion Sensor, Arduino UNO, Relay, Bulb, WI-FI Module

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Nowadays shopping malls and Big Marts keep the track of their sales data of each and every individual item for predicting future demand of the customer and update the inventory management as well. These data stores basically contain a large number of customer data and individual item attributes in a data warehouse. Further, anomalies and frequent patterns are detected by mining the data store from the data warehouse. The resultant data can be used for predicting future sales volume with the help of different machine learning techniques for the retailers like Big Mart. In this paper, we propose a predictive model using XG boost Regressor technique for predicting the sales of a company like Big Mart and found that the model produces better performance as compared to existing models.

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Big Mart ,XG boost Regressor, Dataset, Data Exploring, Data Cleaning, Model Building.

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Abstract: The most heated and debated topic not only in India but in entire world is to eradicate extreme poverty by 2030. Poverty is a socio-economic incident and it is closely related with disparity. It adverse effects on human health, efficiency and output, this in turn effect an individual income. Due to poverty, it becomes close to impossible to fulfill even the bare requirements of life viz: food, clothing, shelter, education and health in deprive section of society. This paper is a review based on secondary data collected related to poverty in India, government policies to reduce poverty, and impact of poverty alleviation program.

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Index Term: Poverty in India, Poverty Alleviation Programs, Impact

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Grinding wheels are applied in industry in a large variety of ways such as Centre less, cylindrical, external and internal, surface and double disc etc. under a variety of cutting conditions. The abrasive grinding wheels has two major roles. The first role is inherent in which the wheel rotates to its function with regard to the production of good surface finish and the ease of material removal in grinding. The second role refers to the apparent behavior of the grinding wheel and depends upon the interaction of the wheel with the characteristics of the grinding machine and other application conditions. A grinding wheel is a very forgiving tool and its grinding action is somewhat dynamic in that it can be altered significantly by changing the grinding conditions

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Force analysis of grinding wheel

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