VOLUME 6, ISSUE 10, OCTOBER 2019

Abstract: Nowadays security is very important to protect our sensitive information in computer or over the internet such as in online banking, online shopping, stock market and bill payments etc. Without security our information exchanged over internet are not safe. Encryption Algorithms provides the security to the information which is exchanged over the internet. In this project we are proposing a new cryptographic algorithm AEDS (Advanced Encryption and Decryption Standard) which is developed by combining properties of DES and AES algorithms. Then we compared all these three algorithms and we found that AEDS is more secure and robust for data security.

Keywords: Encryption, Algorithms, AEDS, DES, AES, Security, Internet

Abstract: In this paper, we use the diagnosis of breast cytology to demonstrate the applicability of this method to medical diagnosis and decision making. Each of 11 cytological characteristics of breast fine-needle aspirates reported to differ between benign and malignant samples was graded 1 to 10 at the time of sample collection. Nine characteristics were found to differ significantly between benign and malignant samples. Mathematically, these values for each sample were represented by a point in a nine-dimensional space of real variables. We use various different algorithms and also demonstrate the comparison between the algorithms for the classification problem. Finally, an overall accuracy of 99.4048 % is achieved. We only classify 1 % of benign case as malignant. The algorithms used are programmed in python for demonstration purposes. This paper also demonstrates deploying the created model on cloud and building an API for calling the model and verify it.

Keywords: Machine Learning, Decision aid system, Breast Cancer prediction, Logistic Regression, Decision Forest, Neural Network

Abstract: Solar power is a clean way to generate renewable energy. Because of high onetime cost large scale utilization of solar energy did not take place. In recent years solar power sector has experienced phenomenal growth and solar energy systems are now easily available for industrial and domestic use. These solar energy systems could be installed with financial supports like tax incentives and rebates from the government. Most of the developed countries are switching over to solar energy. This article provides an overview of status of solar energy in India in terms of existing capacity and utilization of technologies in solar power plants. This paper also focuses on key challenges in technological development for future growth of solar energy.

Keywords: Solar power, Solar technology, Solar photovoltaic, Solar thermal, Solar cell, Solar module

Abstract: The developed Android application aims to disperse the knowledge among farmers about the symptoms of various diseases and insects based on images, which alleviates the identification as well as management of diseases in Pulse crops at primary stage for farmers. Image processing has done by using OpenCV in Android in order to identify the type of diseases based on symptoms affected on Pulse crops, which are be caused by different pathogens produced by leaves as well as roots. The image matching helps the farmers when they are being unable to make out the difference between their real infected crop and the images displayed in application that exhibits the same disease symptom. Then farmer can upload their own captured image and get the matching result based on image matching with various images stored in the database. The efforts have been made to reduce the production costs as the farmers adopting various disease control policies, which incur intensive use of pesticides. Besides, this would bring the booming state in mungbean farming in Punjab, which ahead leads to flourished economic revenues. Moreover, the farmers will get notifications regarding Pulse diseases management.

Keywords: Android, Image processing with OpenCV, Mungbean diseases, Punjabi language.

Abstract: Energy is considered as a crucial input parameter for day to day work and for economic development of a country. Per capita energy consumption is one of the key deciding factors of the level of well-being of any society for a country like India.. Energy is central to sustainable development and poverty reduction efforts. It affects all aspects of development - social, economic, and environmental - including livelihoods, access to water, agricultural productivity, health, population levels, education and gender-related issues. In Andaman and Nicobar Islands where 90 percent of the power is generated from diesel which costs Rs 12-14 per kWh unit, renewable are likely to be far more competitive, wind and small hydro will in fact be far cheaper than diesel-based power, we need to figure out if the island indeed has good potential for wind, solar, biomass and hydro, but then it is worth figuring this out soon. 250 kiloliters of diesel per day implies about Rs 450 crores of money down the drain every year, so allocating a few tens of crores to assess the potential of renewable and taking the first steps would make certain definite economic sense.. The Kalpong Project marks a major shift in the source of power generation at least in North and Middle Andaman. The renewable sources of energy will provide power at a cost many times cheaper in comparison to the present rates. In comparison to the our mainland the consumption of electric energy is more in magnitudes like in domestic consumption in Andaman it is 47.33% whereas in our main land it is only 22%,In commercial, here it is 26.32% where as there it is 8%. In the case of Agriculture sector in A&N islands it is only 0.45%where as there it is about 1.8%, at the last in Indsutry here it is, the power consumption is only of 5.47% whereas in mainland it about 15.78% , which makes a huge difference with the mainland in the year 2012. The cause may be over-consumption, aging infrastructure, choke point disruption or bottlenecks at oil refineries and port facilities that restrict fuel supply.

Keywords: Renewable sources of energy, kwh, Solar power, Ammonia Vapour, Temperature, OTEC, Per capita Consumption, etc

Abstract: Due to the transformation from an industrial age to knowledge era, performance evaluation in virtual organizations has been considered as one of the most important issues. Virtual Organization being geographically diffused, evaluating the performance of the employees working in it is a major challenge. The idea proposed in this system is to perform an analysis considering a number of performance measures for the derivation of performance prediction indicators needed for employee performance assessment, monitoring and evaluation using sentiment analysis. The aim is to predict the quality, productivity and potentiality of the employees across various disciplines through an unbiased system which will enable higher-level authorities to take decisions and understand certain patterns of employee motivation, satisfaction, growth and decline in a virtual organization.

Keywords: Transformation, Performance Prediction Indicators, Virtual Organization, Sentiment Analysis

Abstract: The Road construction has become a growth engine for infrastructure development, across the country, consequently, we have experienced a tremendous growth in Infra-structure of India and National Highways specifically, the construction of pavement quality concrete highway has been the preferred option compared to the bituminous highway due to its low maintenance and long life. However, there are various types of cracks which PQC pavements develop post construction and during the service life. This paper describes the repairs of many types of cracks which are most common and develop either during construction, post construction and during the service life.The structural defects are highlighted in the form of various types of cracks in the slab. The settlement at joints may also occur and if the remedial action is not taken it may also lead to development of cracks.

Keywords: Road, PQC cracks, Causes, repairs, settlements, remedial actions

Abstract: Acalyphaindicia have been used widely in Indian Ayurvedic medicine for treating various ailments. A paste made from the leaves of Acaliphaindicia when applied on the affected skin areas it is useful for relieving skin conditions like eczema, scabies, sores and wounds because of its antibacterial properties. Acalyphaindicia are used as a remedy for relieving acne and pimples. Mexican mint extracts applied on skin has medicinal properties in treating various skin diseases and wounds. A bandage cotton fabric should be taken Mexican mint should be converted in to paste form then fabric can be finished using the extracts. The paste can be fixed on the fabrics using Mordant. The present project work highlights the traditional herbs like AcalyphaIndicia and Mexican mint in healing wounds and skin problems. A bandage cotton fabric is to be taken wherein the extracts of Mexican mint, caliph indicia extracts are applied. The Antibacterial properties of the fabrics are studied by conducting wound healing and Antibacterial test. Comparative study is also to be conducted to find out the effectiveness of both herbs in wound healing.

Keywords: Ayurvedic, AcalyphaIndicia and Mexican mint, chronic wounds, natural herbs

Abstract: Wheatstone bridge circuit is generally employed in Piezoresistive pressure sensor having four piezoresistors used to convert the magnitude of the applied pressure into a proportional change in resistance. Linear relationship between the applied pressure and the change in resistance is possible in piezoresistive pressure sensors. The differential voltage obtained from the Wheatstone bridge circuit is further amplified using signal conditioning circuit to realize large voltage sensitivity. The recent trend in industrial applications prefers a current output from the pressure sensors for transmission to the control room from the remote sensing location. The current practice is to convert the voltage obtained from differential amplifier into a proportional current in the piezoresistive pressure sensors. In this work, the authors introduce a simple technique that directly converts change in piezoresistance into a current using MOSFET current amplifiers. MOS integrated pressure sensor is introduced, since it is possible to integrate MOSFETs in silicon using Micro Electro Mechanical Systems so that the piezsoresistive mechanism and current transmitter can be integrated in a single chip.

Keywords: Micro electro mechanical systems; Metal oxide semiconductor field effect transistor; Piezoresistor; Sensitivity; IntelliSuite; pSPICE.

Abstract: Friction stir welding is a solid-state joining process which can produce high quality welds of different components with either similar or dissimilar materials which are difficult to weld by conventional fusion welding techniques. Friction stir welding utilizes frictional heating combined with forging pressure to produce high strength bonds virtually free of heat affected defects, even in case of dissimilar metal to polymer sheets. Material joining are gaining a great deal of attention in several industries, in particular where a trade-off between reduced weight, improved performance and cost reduction is required. Combination of ABS plastic and aluminium alloys is an alternative solution to this problem. This project aims to weld plates of aluminium (AA6061 T6) alloy and ABS sheet in the lap joint configuration. Optimize the process parameters using Taguchi method for higher shear strength and shore D hardness and to analyse the effect of process parameters such as tool rotational speed, welding speed and shoulder diameter on the output parameters of friction stir weldment. The feasibility of the process was identified by means of microstructure and mechanical analysis.

Keywords: FSW, ABS plastic, AA6061 T6 Aluminum Alloy, Shore D hardness, Shear strength

Abstract: The North-East region receives heavy rainfall than other parts of India. It is one of the highest rainfall regions in India. Analysis of rainfall, temperature and flow pattern of the river across this region would be of great importance to water resources planners. The present work deals with the impacts of climate change in the rainfall pattern and changes in trend of temperature in the Kamrup District of Assam. Historical trends in rainfall, discharge and temperature is analysed for the past several years. Changes in rainfall pattern is presented showing changing trend in annual rainfall from 1901-2017.No significant trend of rainfall is observed but post 2000, the trend follows a declining trend of rainfall pattern. Similar analysis of temperature variation over the period 1901-2002 depicts almost a similar pattern between the year 1901 and 1997 and a rise in temperature in the beginning of 2000's. Trend of peak discharge in Brahmaputra river shows a declining pattern over the study period whereas the annual flow of the river shows a positive trend. The main aim of this study is to observe the flow pattern of Brahmaputra river gauged at Pandu station in Guwahati and to observe the rainfall pattern and the trend of temperature due to climate variation in the Kamrup District. The result is hoped can support the project design of water resources structures.

Keywords: Climate change, temperature, Rainfall pattern, discharge, Brahmaputra River

Abstract: Jackfruits are very versatile in their uses for food and as a folk medicine. Most parts of the jackfruit including pulp and seeds are edible. Three cultivars jackfruit (Artocarpus heterophyllus Lam.) namely: SS1, SS2 and SS3 which cultivated in Aswan, Egypt, were studied for their physical properties, minerals, chemical composition, polyphenolic compounds, ascorbic acid, alpha tocopherol and beta carotene contents. Also, jams were prepared from mango pulp and jack fruit pulp, as well as, sensory evaluation, chemical composition and storage for six months for these jams was determined. The results revealed that TSS (%), TTA (% DW) contents ranged from 24.21-26.23 and 0.37-0.46; respectively. The non-reducing sugars, reducing sugars were found in studied pulps with higher contents ranging 30.64-33.75%and20.57-22.14%; respectively, while the total sugars ranged between 52.78 to 54.32%. The concentration of potassium was significantly (P<0.05) higher (1928.84) in SS3 followed by SS2 (1899.82) and SS1 (1897.66). The vitamin C content (mg/100g DW) in three strains of jackfruit pulp was ranged from 30.44 to 30.66. Jackfruit pulps contained reasonable amounts of anioxidative components especially vitamin A and polyphenolics. The jam made from jackfruit pulp and mango pulp with ratio 1:1 give a better acceptable product with good properties, it had the highest in total, reducing sugars with values 89.63 and 26.89 g/100g DW, respectively. The T.S.S and T.T.A were slightly increased during 6 months with no significance differences between jackfruit and mango jams. There is a decrease in total and non-reducing contents during storage but reducing sugars was increased in jam samples. The results showed that consumption of jackfruit can enhance the amounts of phytochemical compounds such as vitamins A and C consumed. In addition, the importance of this study is to prepare jackfruit jam that will be characteristically accepted by consumer.

Keywords: Polyphenolic compounds, Vitamin A, Mango jam, Jackfruits

Abstract: This paper discusses cloud-based AI solutions' optimization for scalable data management and analytics. Employing next-generation cloud technologies such as auto-scaling, containerization, and AI integration, we illustrate how scalable data processing can be well-supported by leveraging cloud infrastructure to manage growing data and processing requirements from our research, we found an improvement of 25% in data processing, 40% decrease in latency at high send rates. In addition, cloud optimization of resources led to 36% cost savings on operations, and scalability enabled easy management of up to 450 requests per second with negligible performance impact. Also, AI-driven decision-making tools, combined with cloud-native offerings, demonstrated a 50% increase in predictive accuracy, streamlining business processes and decision-making. The findings show that the integration of AI and cloud computing not only improves scalability and operational effectiveness but also enables cost-effective data management and analytics, providing substantial benefits for organizations moving to cloud-based designs.

Keywords: Cloud Computing, Data Management, Predictive Analytics, Resource Optimization, Data Analytics, Auto-Scaling

Abstract: Lead (Pb) and mercury (Hg) are non-essential and ubiquitous heavy metals that have been released in the environment as a result of natural processes as well as anthropogenic activities. They are marked by their high inherent toxicity, persistence in the environment and ability to be bioaccumulated along the food chain and pose significant and long-term risks to ecosystems and human health. Unlike metals that are considered essential, Pb and Hg have no known physiologic function and cause toxicity, even at very low concentrations. This mini-review gives a comparative view on the toxicological profile of these priority pollutants. It provides their different primary pathways of exposure, where the inhalation and ingestion pathways of lead sources from legacy sources are contrasted with the accumulation of organic methylmercury through the food chain. Furthermore, common and unique underlying mechanisms of molecular toxicity, which cluster on oxidative stress, enzyme inhibition by sulfhydryl binding, and ionic mimicry, are summarized in the review. Finally, it synthesizes their major adverse health impacts, as major focus on their neurotoxic (developmental and adult) critical role as well as significant nephrotoxic and cardiovascular implications.

Keywords: Non-essential Heavy Metals; Lead and Mercury Toxicity; Neurotoxicity; Renal and Cardiovascular Toxicity.