Volume 10 | Issue 5

 Abstract

To avoid fraudulent post for job in the internet, an automated tool using machine learning based classification techniques is proposed in the paper. Different classifiers are used for checking fraudulent post in the web and the results of those classifiers are compared for identifying the best employment scam detection model. It helps in detecting fake job posts from an enormous number of posts. Two major types of classifiers, such as single classifier and ensemble classifiers are considered for fraudulent job posts detection. However, experimental results indicate that ensemble classifiers are the best classification to detect scams over the single classifiers.

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 Keywords

Fake Job, Online Recruitment, Machine Learning, Ensemble Approach.

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 Abstract

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 Keywords

Sustainability, Vernacular, Modernism, Economic, Ecological.

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In the past few years Environment pollution is the foremost concerned issue. Awareness growing to save the environment. In our country, burnt clay brick is the foremost used building material. Which deliver a noteworthy amount of greenhouse gasses and also it destroys a huge amount of agricultural land every year. Regarding the issue of I am seeking for sustainable and eco-friendly building material. Compressed Stabilized Earth Block (CSEB) provide the opportunity of energy efficient, eco-friendly, agriculture friendly and sustainable development. It does not contribute any harmful gasses during production. In this study, how soil is used to produce CSEB block, which helps to save the agricultural land. CSEB have been made with the different composition of cement, sand and river dredged soil. The comparison between the cseb block and the brick are study with respective with their cost, weight, strength and many other properties. The compressive strength of different blocks is measured to discover the appropriate composition to create CSEB additionally to compare among them to discover out the ideal composition.

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 Keywords

Sustainability, Environment-friendly, Agriculture friendly, River dredged soil.

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 Abstract

The usefulness of shear walls in the structural planning of multistory buildings has long been recognized. When walls are situated in advantageous positions in a building, they can be very efficient in resisting lateral loads originating from wind or earthquakes. Reinforced concrete framed buildings are adequate for resisting both vertical and horizontal loads acting on them. Extensive research has been done in the design and analysis of shear wall high rise buildings. A residential building High rise structure is considered for the analysis. To evaluate the seismic response of the buildings and analysis was performed by using response spectrum method using Finite element based software-STAAD Pro. The properties of these seismic shear walls dominate the response of the buildings, and therefore, it is important to evaluate the seismic response of the walls appropriately. A study on an regular highrise building with shear wall and without shear wall was studied to understand the lateral loads, story drifts and torsion effects. From the results it is inferred that shear walls are more resistant to lateral loads in structure.

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 Keywords

Walls, Lateral Loads, Shear Wall, Torsion, STAAD Pro.

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The aim of the paper is to combine the plithogenic neutrosophic hypersoft set with the near set theory given by James. F. Peters and to introduce near plithogenic neutrosophic hypersoft set. Near plithogenic neutrosophic hypersoft sets are considered as mathematical tools for dealing with ambiguities. We first present the basic operations like union, intersection and some basic properties of the set. Also, some of the theoretical properties of the set are discussed.

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 Keywords

Near set; Hypersoft set; Plithogenic hypersoft set; Near plithogenic neutrosophic hypersoft set

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 Abstract

The qualities of a formulation are affected by excipients, which are an important aspect in a dosage form. Excipients were once thought to be inactive components; however, it has now been discovered that they can have substantial negative effects. Many countries have experienced disasters in the past as a result of undiscovered excipient toxicity and mistreatment of excipients during transit. These tragedies call regulators' attention to the quality of excipients. Excipients can cause a variety of negative effects, such as hypersensitivity and allergies. When it comes to a novel excipient, preclinical research is much more important. New chemical excipients will be regulated in the same way as new APIs, according to the European Union (EU) directive 75/318/EEC. Within the EU, a regulatory dossier is necessary for any novel excipient (s). Excipients are employed as protecting agents, bulking agents, and in rare cases, to improve medication absorption. The International Pharmaceutical Excipients Council (IPEC) was founded in 1991 as a trade group that brought together excipient manufacturers and their pharmaceutical formulation clients.

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 Keywords

Excipients, Novel excipients, Dossier, CTD, CEP.

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The use of synthetic color in food production has increased in the last decades, since they result in some unsafe product for human consumption. This study reports the extraction of natural brown colourant from sesame seeds using solvent extraction technique. The sesame plant, Sesamum radiatum, oil seeds that contain protein, fiber, and healthy fats. The hull gives the seeds a golden-brown hue. The colorant from the sesame seeds were extracted using 1% NaOH solution by centrifugation. The phenolic compound present in the sesame seeds were oxidized and polymerized to form melanin. The extract resembles the melanin pigment and the test was performed to validate the melanin content. The color characteristics were studied using colorimetry at different nanometers. Further the color stability for the extract was evaluated by storing at different environmental conditions (at dark place, at refrigerated, at room temperature and at sun light) for 30 days. The effect of heat and light on the colorant was determined by the transmittance value at interval of 5 days. The study concludes that, the refrigerated colorant has the high colour stability compared with other environmental conditions. This study initiates to use natural colorant in foods, which is currently dominated by synthetic colors.

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Sesamum radiatum, solvent extraction, melanin, natural colorant.

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 Abstract

ShareCare - Reducing food Wastage is an web utility designed basically to be used in the meals delivery enterprise. This device will lessen the wastage of foods in inns and restaurants and would provide meals to the needy ones. This device is essentially for NGOs who should get unfastened meals and healthy meals for humans. It will permit brief and clean control of online menu which clients can browse and use to area orders with simply few clicks. The online step with ShareCare - Reducing meals wastage will provide comfort for the NGOs. This system will increase the takeaway of ingredients which might have wasted. The web application sets up menu online and the clients without problems locations the order with a simple click. Also, the food menu can easily be maintained and improve their meals delivery facts. This device allows the consumer to choose the desired quantity of meals they require, from the displayed menu. The user orders the meals by means of following steps. The details of the consumer is exclusive right here as it keeps a separate account for each user And the identification and the password are supplied for each customers. Therefore, it offers a secured ordering. The application might be available via internet from telephones, laptops, Tablets.

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 Keywords

Reduce Food Wastage, meals, order brief, web utility.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In order to create new software, it is necessary to adhere to established implementation standards. The development of applications for marketplaces has been difficult when it comes to the sale and acceptance of software by clients. The number of downloads, the number of comments, and the number of ratings on apps can all be found in app stores. A pattern of app success may be deduced from the obstacles encountered in these sectors and their methods of problem analysis. It was intended to construct two inference engines utilizing SVM and Random Forest algorithms based on this scenario, as well as to research the attributes that best correlate with app ratings and calculate and assess regression metrics using a Google Play Store database.

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 Keywords

Google Play Store Apps, Predicting Ratings, and Machine Learning are some of the keywords.

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This residual network has been a broad domain of research in deep learning. Many complex architectures are based upon residual networks. Residual networks are efficient due to skip connections. This paper highlights the addition of a sequential layer to the traditional RESNET 18 model for computing the accuracy of an Image classification dataset. The classification datasets such as Intel Scene dataset, CIFAR10 dataset, etc. These datasets consist of images belonging to various classes. In classification, we assign the pictures to their respective categories. The addition of a sequential layer gives the accuracy in the range of 0 to 1, which helps find the accuracy of prediction for the test set.

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 Keywords

RESNET18, Sequential Layer, Dropout Layer, Adam Optimizer, NLL Loss Function, ReLU, Classification

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Challenges in material handling

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Keywords: Circuit training, Endurance, Physical fitness, Athletes.

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 Abstract

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Blockchain, Vehicles, Security, Insurance

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We apply Intuitionistic Fuzzy Optimization[IFO] technique as well as Intuitionistic Fuzzy Geometric Programming[IFGP] Technique to solve the problem in the lost sales case .This paper models a multi-objective Economic Order Interval [EOI] system with fuzzy cost components, where the demand during lead-time and order interval follows uniform probability distribution. Our objective is to establish the fact that IFGP method performs better than IFO method.

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 Keywords

Fixed order interval, Intuitionistic Fuzzy Geometric Programming, fuzzy cost components, stochastic inventory.

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Creative Commons Attribution 4.0 and The Open Definition

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In recent years, the development of chatbots has become trendier and so far, several conversational chatbots were designed which replaces the traditional chatbots. A chatbot is a computer program that is used to interact with human beings and fulfill their needs. Chatbot gives the response for the user query and they are also capable of executing tasks. Early development of chatbots was so difficult whereas recent chatbots are much easier to develop because of the wide availability of development platforms and source code. A chatbot can be developed using either Natural Language Processing (NLP) or Deep Learning. When compared to traditional chatbots, bots designed using Deep Learning requires a huge amount of data to train. This Educational chatbot is used to provide the details asked by the user. The chatbot can efficiently answer any queries given by the user regarding the college information, details of the students and CGPA-related information. The CGPA of the students can be acquired by providing the user details and password to the chatbot. Thus, Using the NLP, the chatbot can answer all our queries which is user-friendly and also time-saving.

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 Keywords

Natural Language Processing, AIML

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After independence, there has been a lot of improvement in the condition of Indian women. After 74 years of independence, if we discuss the laws made to prevent crimes against women from the legal point of view, then it is clearly visible that many laws have been made to maintain the dignified status of women in our country. . But due to lack of adequate legal education, they do not get information about laws, even most of the women do not know which rights they have. In the present research paper, the rights made for the upliftment of women and to prevent crimes against them have been discussed.

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Human Right, Women, Constitutional and Legal Provisions

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Creative Commons Attribution 4.0 and The Open Definition

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A malicious program with a motive of attacking the computer operations and data is called a malware. Viruses Trojans, spywares, backdoors, adware, worms, rootkits, bots etc are examples for the malware. Malvertising is a type of attack where you insert a piece of malicious code into the online advertisement which redirects to some other websites to do some harmful actions. In this digital era the online advertisement has a greater impact in the revenue of business. So, it is essential to find way to identify and remove or reduce the malware through the advertisements. Hence in this paper the authors discuss about various attacks and damages that happens through Malvertising and the possible solutions to stop these attacks. In the first section of the paper, we discuss the cyber security in the context of Malvertising. Next , we present the current situation in digital marketing in terms of the malicious advertisement. Finally, the paper discusses some methods that helps to stop this attack

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 Keywords

Keyword: Cyber Security, Malicious code, Malvertising, online marketing, digital advertisements

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 Abstract

Sign language is very important for people who have hearing and speaking deficiencies generally called Deaf And Mute. It is the only mode of communication for such people to convey their messages and it becomes very important for people to understand their language.

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 Keywords

Feature Extraction, Keypoint Matching, Sign/Gesture Recognition, convolutional Neural network (CNN), recurrent neural network (RNN)

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Construction is an integral part of a developing country's infrastructure and growth. Construction waste management is defined as the reduction, recycling, and utilization of waste through resource management. Nature's construction is not an environmentally favourable activity. The construction industry in India is now growing at a rate of 10% per year. In 2012, the housing market is expected to grow at a rapid rate of up to 14%. Construction contributes for over 65 percent of total infrastructure investment, and this trend is expected to continue. Waste of key material arising out of manufacturing, storage and handling on building construction site. By conducting a literature review, we will examine the measure resources of elements that contribute to the generation of building waste in this paper. The outcome is a waste management system that is being used on a building site, as well as factors that are impeding the concept of sustainability in trash management.

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Construction materials, Construction waste Management, Recycling, Reuse

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 Abstract

Today, the problem of early detection of depression is one of the most important in psychology. Mental health problems are often among the most important health stressors in the world, with over 300 million people currently affected by depression alone. As large amounts of male or female signups are generated on social media platforms, researchers are increasing the use of evidence-gathering devices to determine if this content material can be used to uncover mental health issues in users. Depression is a disease that poses a major problem in our society and is a continuing concern, according to researchers around the world. With ubiquitous computing devices such as smartphones, predicting depressive moods remains an open question. Social media testing is often implemented to address this issue. In this article, a depression rating and suicidal ideation detection system were proposed to predict suicidal acts supporting the magnitude of depression. To do this, expert and well-established classifiers were used to discriminate whether someone is depressed or not, using competencies from their sporting activity within positions. Similar tool algorithms are used to train it and classify it into different levels of depression on a scale of 0-100%. In depression or not, the use of Art Machine Learning algorithms is a predictive method for the early detection of depression or unusual mental illnesses. The main contribution of this exam is the exploration of a competency network and its implications for the recognition of the degree of depression. This system aims to gain an in-depth understanding of the model used to categorize users with depression by understanding some cases where male or female undergraduate labels are examined to uncover postgraduate labels. By combining all of the post tag category possibilities, you can create temporary post profiles that are then used to categorize customers with depression. This paper shows that there are fluid versions in the posting patterns between depressed and non-depressed clients, as represented by the combined odds of the posting tag category. Natural Language Processing (NLP), categorized the use of the BERT set of regulations to find out depression probably in a greater on hand and inexperienced way.

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 Keywords

Machine Learning, NLP, BERT Algorithm, Depression, Classification, Social Media Post.

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Creative Commons Attribution 4.0 and The Open Definition