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Found 3739 matches for "All Articles"

The Viola-Jones Face Detection Algorithm Analysis: A Survey

In this paper, we analysis the Viola-Jones algorithm, the most real-time face detection system has been used. It is consisting from three main concepts to enable a robust detection: the integral image for Haar feature computation, Adaboost for selecting feature and cascade to make resource allocation more efficient. Here we propose each stage starting from Integral image to the end with Cascading and some of algorithmic description for stages. The Viola-Jones algorithm gives multiple detections, a post-processing step which reduce detection redundancy using Adaboost and cascading.

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Ahmed A. Elngar mail -
Mohamed Arafa mail -
Abd El Rahman Ahmed Naeem mail -
Ahmed Rushdy Essa mail -
Zahra Ahmed shaaban mail
link https://doi.org/10.54216/JCIM.060201

Volume & Issue

Vol. Volume 6 / Iss. Issue 2

Details open_in_new

Parasitic overview on different key management schemes for protection of Patients Health Records

The main goal of HIPAA (Health Insurance Portability and Accountability Act) is to protect health information of individuals against access without consent or authorization. Security and privacy are the main issues in HIPAA. A compliant key management solution is used to reduce harm and risk while providing cryptographic mechanisms. Using ECC (Elliptic Curve Cryptography) we ensure more security for access of patient’s health records. This provides same level of security for access of patient’s health records. Patient’s health Information is stored in RFID cards. Finally, the proposed method ensures higher level of security than other existing cryptographic techniques. ECC provides more security even with small key sizes. Proposed scheme describes the various counter measures for improving security and a key recovery mechanism for the protection of keys.

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Shibin David mail -
K. Martin Sagayam mail -
Ahmed A. Elngar mail
link https://doi.org/10.54216/JCIM.060202

Volume & Issue

Vol. Volume 6 / Iss. Issue 2

Details open_in_new

An Efficient Smartphone Assisted Indoor Localization with Tracking Approach using Glowworm Swarm Optimization Algorithm

Presently, a precise localization and tracking process becomes significant to enable smartphone-assisted navigation to maximize accuracy in the real-time environment. Fingerprint-based localization is the commonly available model for accomplishing effective outcomes. With this motivation, this study focuses on designing efficient smartphone-assisted indoor localization and tracking models using the glowworm swarm optimization (ILT-GSO) algorithm. The ILT-GSO algorithm involves creating a GSO algorithm based on the light-emissive characteristics of glowworms to determine the location. In addition, the Kalman filter is applied to mitigate the estimation process and update the initial position of the glowworms. A wide range of experiments was carried out, and the results are investigated in terms of distinct evaluation metrics. The simulation outcome demonstrated considerable enhancement in the real-time environment and reduced the computational complexity. The ILT-GSO algorithm has resulted in an increased localization performance with minimal error over the recent techniques.

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Mohammad Alshehri mail
link https://doi.org/10.54216/JCIM.060203

Volume & Issue

Vol. Volume 6 / Iss. Issue 2

Details open_in_new

Crop Recommendation Using Machine Learning

The population of India is over one billion. Nearly 65 percent of the population of India lives in villages with the main occupation being agriculture. The diverse climatic conditions in the country result in the production of a large number of agricultural items. Many surveys have proved that the suicide rate of farmers is proliferating over years due to the selection of the wrong crop resulting in less yield. In some areas, farmers lack information about the composition of soil and weather conditions and may choose the wrong crop to sow which results in lesser yield. Production of crops depends on geographical parameters like humidity, rainfall, and properties of soil such as pH, and NPK content. Integration of technology with agriculture helps the farmer to improve his production. The main goal of agricultural planning is to achieve the maximum yield rate of crops by using a limited number of land resources. This paper mainly focuses on recommending the appropriate crop using ML Algorithms ( Decision Tree, Naive Bayes, Random Forest ) based on soil composition and weather conditions to maximize the yield of the farm and increase the economic condition of India’s farmers.

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Akshita Waldia mail -
Pragati Garg mail -
Priyanka Garg mail -
Rachna Tewani mail -
Arun Kumar Dubey mail -
Anurag Agrawal mail
link https://doi.org/10.54216/FPA.060203

Volume & Issue

Vol. Volume 6 / Iss. Issue 2

Details open_in_new

Automatic Number plate detection for law enforcement using optical recognition system

 Automatic Number Plate Recognition (ANPR) is a specialized type of Optical Character Recognition System (OCR). It is a method of reading a vehicle's license plate using OCR to create vehicle registry or location data. ANPR is utilized by a variety of agencies around the world to enforce the law, including determining whether a vehicle is registered or not. Government entities, such as highway agencies, can categorize traffic movements for computerized toll collection. Images of the text from the license plate can be stored and processed using the ANPR system. Infrared cameras are often employed to take photographs in any lighting condition, whether it is day or night. To be more accurate ANPR technology should also consider plate variations from place to place.

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Meenu Gupta mail -
Rakesh Kumar mail -
Arpit Sood mail -
Gagandeep Kaur mail -
Shikha Rastogi mail
link https://doi.org/10.54216/FPA.060202

Volume & Issue

Vol. Volume 6 / Iss. Issue 2

Details open_in_new

n-Cyclic Refined Neutrosophic Groups

  This paper introduces for the first time the concept of n-cyclic refined neutrosophic group as a direct application of the concept of n-cyclic refined neutrosophic set. Also, it discusses some of its elementary properties such as AH-subgroups, kernels, and direct products.  

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Rozina Ali mail
link https://doi.org/10.54216/IJNS.150101

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

Details open_in_new

Generalized Possibility Neutrosophic Soft Set And Its Application

Today, experts are emphasizing to establish innovative ideas to cope with the complexity, imprecision and ambiguity that exist in practical problems, together with suitable examples to elucidate their hypotheses. Neutrosophic set and its hybridisations are  broadly adopted in many decision making challenges. More researchers are  working to discuss the validity of neutrosophy and its combinations in decision making issues. In this work we develop a new hybridized structure of neutrosophic soft set named Generalized Possibility Neutrosophic Soft Set (GPNSS)  and discuss its basic properties. We define set theoretical operations between two possibility neutrosophic soft sets and study some of their features. We also present the GPNS decision making approach, which is based on the AND-product of GPNSS. Finally, we provide a numerical example to demonstrate how the technique may be effectively applied to the circumstances investigated.  

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S. Bhuvaneshwari mail -
C. Antony Crispin Sweety mail
link https://doi.org/10.54216/IJNS.140205

Volume & Issue

Vol. Volume 14 / Iss. Issue 2

Details open_in_new

A study of refined neutrosophic complex numbers and their algebriac properties

    This paper dedicated to defining for the first time the concept of complex refined neutrosophic numbers as a direct application of refined neutrosophic sets and as a new generalization of neutrosophic complex numbers. Also, it presents some of their elementary properties such as conjugates, absolute values, invertibility, and algebraic operations. The importance of the definitions in this article lies in the use of them by defining the polar form of the refined neutrosophic complex numbers.      

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Malath F. Alaswad mail
link https://doi.org/10.54216/IJNS.150102

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

Details open_in_new

Neutrosophic Differential Equations That Translate Into Linear

  In this paper, the Bernoulli’s neutrosophic differential equations by a neutrosophic thick function are introduced.The main objective is defining a neutrosophic differential equations that translate into linear based on the thick function and finding solutions for this equation. Enough examples are provided to illustrate each idea.  

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Yaser Ahmad Alhasan mail -
Abuobida Alfahal mail
link https://doi.org/10.54216/IJNS.150103

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

Details open_in_new