Volume 11 | Issue 5 |

 Abstract

The presented smart parking system integrates multiple private and public parking services under an integrated medium with the aim of providing one-stop parking information services to commuters in a smart city. However, the adaptation of such a system is prone to tampering, while large amounts of data are shared among various parties, leading to problems related to trust and enforcement. To address this challenge, we propose a specific blockchain-based solution for smart parking systems. The smart parking system offered facilitates checking the availability of parking slots. It is easy to find nearby private or public parking areas with pricing policies and a secure payment gateway. The system benefits in reducing pollution and fuel consumption by avoiding wastage of time. Finally, we propose a set of design principles that demonstrate the applicability of our proposed smart parking system.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Decentralization, Smart contract, Ganache, MetaMask, Mapbox, consortium blockchain, consensus mechanisms.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

According to several suicide studies, there are about 800 000 suicides per year and it is still difficult to identify suicidal individuals. Social media usage has increased, and we have seen that users openly discuss their suicide attempts and plans on these platforms. This study attempts to prevent suicide by identifying suicidal profiles on social networks. First, we analyse social media profiles to extract various elements, such as account features connected to the profile and features related to social media data. Second, we present our approach for leveraging Twitter data to identify suicidal profiles based on machine learning techniques. Then, we make use of a profile data set made up of individuals who have already committed suicide. Experimental findings attest to the recall and accuracy efficacy of our technique in identifying suicidal characteristics. Finally, we demonstrate our research using a Python-based prototype that demonstrates the identification of suicidal characteristics.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine learning Algorithms, Suicidal Dataset, Python Based Prototype.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid development of information technology over the last decade means that data appears in a wide range of sensor data, tweets, photos, raw data and unstructured data formats. With such an overwhelming flood of information, current data management systems cannot scale to this enormous quantity of raw, unstructured data -- Big Data, today. We show the basic concepts and designs of big data tools, algorithms and techniques in the present study. We compare the classical data mining algorithms with the Big Data algorithms by using Hadoop / MapReduce as the core scalable algorithm implementation of Big Data. We implemented the K-means and A-priori algorithms on a 5-node Hadoop cluster with Hadoop / MapReduce. We use MongoDB as an example to explore NoSQL databases for semi-structured, massive data scaling. Finally, we show the performance of these two algorithms between HDFS (Hadoop Distributed File System) and MongoDB data storage.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Data Storage, Big Data Algorithm, Data Mining,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Bhitarkanika is a combination of two words: Bhitar means "inside" and Kanika means "exceptionally beautiful". Mangroves forests serve as ecotones between land and sea and elements from both are stratified horizontally and vertically, between forest canopy and subsurface soil. In India the mangroves are grown in two groups, the mangroves of the West coast and the mangroves of the East coast. Bhitarkanika National Park is a 145 km2 (56 sq mi) large national park in northeast Kendrapara district in Odisha in eastern India. It was designated on 16 September 1998 and obtained the status of a Ramsar site on 19 August 2002. The area is also been designated as second Ramsar site of the State after the Chilika Lake. It is surrounded by Bhitarkanika Wildlife Sanctuary, which spread over 672 km2 (259 sq mi). Gahirmatha Beach and Marine Sanctuary are to the east, separating swamp region and mangroves from the Bay of Bengal. The national park and wildlife sanctuary is inundated by the rivers Brahmani, Baitarani, Dhamra, Pathsala. It hosts many mangrove species, and is the second largest mangrove ecosystem in India. There are different species of Flora, Fauna, mammals, avifauna, aquafuna, marine mammals etc. The national park is home to Salt water crocodile (Crocodylus porosus), Indian python, king cobra, black ibis, darters and other species of flora and fauna. There are about 15 species of mammals, 120 species of fish, 271 species of birds, 25 species of reptiles.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

River Delta, Mangrove, Saltwater Crocodile, Species Diversity, Eco-tourism

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The ability to automatically recognize human faces based on dynamic facial images is important in security, surveillance and the health/independent living domains. Specific applications include access control to secure environments, identification of individuals at a particular place and intruder detection. This research proposes a real-time system for surveillance using cameras. The process is broken into two steps: (1) face detection and (2) face recognition to identify particular persons. For the first step, the system tracks and selects the faces of the detected persons. An efficient recognition algorithm is then used to recognize detected faces with a known database. The proposed approach exploits the Viola-Jones method for face detection, the Kanade-Lucas-Tomasi algorithm as a feature tracker and Principal Component Analysis (PCA) for face recognition. This system can be implemented at different restricted areas, such as at the office or house of a suspicious person or at the entrance of a sensitive installation. The system works almost perfectly under reasonable lighting conditions and image depths.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Face Detection, Face Recognition,Database,Monitering.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Wearing a safety helmet, gloves and shoes while working is crucial for protecting workers from injuries, which can range from mild to severe. In industrial settings, workers are often exposed to hazardous materials, dangerous machinery, and other potential hazards that can cause injury. A safety helmet, gloves and shoes detection can help to prevent injuries by absorbing the impact of a falling object or other traumatic force. This project proposes the use of an AI-based visual examination system for safety gear detection and face recognition in manufacturing and construction industries. The system employs a CNN algorithm to detect the presence or absence of safety helmet, gloves and shoes as well as recognize the faces of workers. In case of any safety gear violation or unauthorized personnel, the system triggers an alert through email or SMS to the concerned authorities. The alert contains relevant information about the violation, including the location, time, and identity of the worker. The system can help employers maintain a safe work environment and avoid costly legal repercussions resulting from workplace accidents.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CNN algorithm, Workers safety, Work environment and Manufacturing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Crime analysis and prevention is a methodical methodology for locating and examining criminal behaviour trends. Our algorithm can identify places with a high likelihood of crime and may depict crime-prone zones, which are regions with a high level of crime. As technology in computerised systems advances, crime data analysts may be able to assist law enforcement officials in hastening the investigation of crimes. The main goals of this research are to categorise different types of crime using clustering approaches that are based on frequency and regulations. The crime data in this project is analysed using a clustering approach, and the K-Means algorithm is employed to cluster the recorded data. Following categorization and clustering, we may forecast a crime using the previous incidents' historical data. The suggested technique can identify places with a greater likelihood of crime and can discriminate between areas with a higher crime rate.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Crime Analysis, data mining, clustering, prediction.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Hydraulic jumps are mostly used as energy dissipators to release extra water flow energy downstream of hydraulic structures like spillways and sluice gates. The properties of hydraulic jumps produced on smooth and bumpy beds are examined in this study utilising laboratory experiments. In both smooth and rough bed conditions, the study of leap will be conducted on a horizontal bed. A 6 m long, 0.30 m wide, and 0.75 m deep rectangular flume was used for the experimental programme. This experiment will be conducted in a rectangular flume, which is made up of a rough bed that is created by inserting a rectangular wooden strip at regular intervals. Sequent water depth and beginning water depth are measured for various bed surfaces. The distance jump from the gate and the subsequent depth ratio were shorter on the rough bed than on a smooth one. When the discharge condition altered, the hydraulic parameters starting water depth, subsequent water depth, and flow rate were measured.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bed characteristic, Stilling basin, Froude's number, Sequent depth, Energy dissipation, Hydraulic jump

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this project, with applications including scene understanding, medical image analysis, robotic perception, video surveillance, augmented reality, and image compression, among many others, image segmentation is the main key topic in this project's use of computer vision and image processing. In the literature, a number of picture segmentation methods have been created. A common label is given to all the visual components or pixels that fall under the same category. In addition to the class label and object bounding box, the Mask R-CNN returns the binary object mask as well. In terms of segmenting pixels, Mask R-CNN is effective.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Convolutional Neural Networks (CNNs), Convolutional Neural Networks (CNNs), Labelled Data, Binary Masks, Computer Vision.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Today's high social economic development and environmental problems have led many western societies to emphasize the importance of a safe and reliable service. In addition, Micro-grids are often used to deliver power efficiently and utilize renewable energy sources efficiently. In this analysis, various optimization algorithms are implemented for direct operation of a standard Micro-grid (MG) mill connected to renewable energy sources to cover the power mismatch or to store surplus of energy when required. The problem proposed with Improved Whale optimization algorithm (IWOA) to mitigate both running expense and net pollution was conceived as a multi-objective problem. The suggested algorithm is evaluated on a standard MG with stand-alone and grid connected mode of operation and contrasts its superior results.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Micro grid, IWOA, wind, biomass, solar and Hydro turbines.

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Creative Commons Attribution 4.0 and The Open Definition