Miracle-dz/UniFAR-FTUs huggingface dataset:
A REVIEW ON OPTICAL COHERENCE TOMOGRAPHY (OCT) TECHNOLOGY AND ITS USAGE IN BIOMEDICAL APPLICATIONS

The potential of optical imaging techniques provides micrometer scale resolution without the need for ionizing radiation and can provide non invasive cross-sectional images of biological tissues with spatial resolutions down to few micrometers. 3D OCT is applied for imaging of biological microstructures like human retina, human skin and other developmental model systems. Recent advances in OCT are it enables 3D volumetric information and increases image acquisition speeds. OCT imaging depth is limited by scattering of the medium which destroys the coherence of the probe beam. OCT is used to image the entire non-scattering ocular structures and imaging of highly scattering tissues like skin is usually limited to a few mm. We can get the birefringent properties of the tissue by taking OCT images for two orthogonal linear polarisations of the scattered light. This OCT images helps in monitoring the changes in the morphology of tissue birefringent constituents. Polarisation Sensitive OCT (PSOCT) systems are being used for monitoring changes that take place in wounds or malignancy conditions. Systems have been used for real time, in vivo and in vitro imaging of microstructures of biological tissues and animal model systems with resolutions of ~ 10 to 20μm. OCT images can be used to discriminate the characteristic morphological features and classify different tissue types using automated algorithms. This review paper discusses on the dental applications of OCT such as Oral tissue images, Oral cancer detection and the retinal applications such as Macular Edema, Glaucoma, and Adaptive Optics.
Memory Corruption-Basic Attacks and Counter Measures

: Memory corruption techniques are one of the oldest forms of vulnerabilities to be exploited by attackers . It had been under constant research and scrutiny for a very long time. This paper covers the basics of the types of memory corruptions and focuses on the detailed analysis of stack-based buffer overflow exploitation using local variables. Some real-life exploits and scenarios are presented and some of the popular mitigation techniques are discussed.
Studies of different physiological parameters in sorghum under decreasing levels of soil moisture at field condition

Sorghum [Sorghum bicolor (L.) Moench] is one among the five major cereals of the world, being grown extensively in tropical and sub-tropical climate. In the present investigation six existing and recently released cultivars of Sorghum were taken to test their water stress tolerance. These cultivars are presently used extensively in the commercial production in Indian farmers. The field trials was laid out in The field experiment was laid out in a Factorial Randomized Blok Design (FRBD) with three replications in field Condition involving with six genotypes viz., Phule Yashoda, Phule Revati, Phule Chitra, Phule Vasudha, Phule Anuradha and Phule Maulee and four moisture regimes (25%, 50%, 75% and > 90% of field capacity). The effect of moisture stress was assessed using various physiological parameters. Among the six genotypes, the Phule Yashoda and Phule Revati showed significantly maximum mean chlorophyll a, b and total, RLWC, rate of photosynthesis, rate of transpiration, A-PAR, stomatal conductance and resistance at 25% of F.C. It could be inferred that the genotype Phule Chitra and Phule Maulee are more suited under limited soil moisture condition (which moisture regime). While, the genotype RSV-1006 and Phule Yashoda found well suited for medium soil for stress as well as non stress condition. Irrespective of moisture regime Phule Yashoda and RSV-1006 found to better than rest of genotypes based on physiological parameters. However, Phule Chitra and Phule Maulee had some physiological parameters which suited under water stress condition (M1). The resilience to drought shown by recent varieties is a good premise for their use in areas subjected to dry spells.
Towards Rumors Detection Framework for Social Media

A Rumor is considered as unverified pieces of information circulating, that arise in the context of uncertainty, with negative impact, and falsely attributes. Unfortunately, terribly damaging form of communication are the results of rumors. Rumors spread on social media with no exception, and only serve to amplify the negative effects on people and businesses. This paper aims to present literature related to rumor detection on social network and try to find a link on how human behavior is affected by it. Therefore, it surveys the rumors detection frameworks, algorithms, and computational techniques that help in detecting and blocking rumors from spreading on social media. Also, attributes that may identify and describe a rumor and human behavior towards rumors are gathered, unified, and arranged in an integrated recommended list. This list of attributes may be the guide for detecting and capturing rumors with their changeable inconstant form. As a result, from this trial a proposed framework is presented to offer an idea for dealing with human behavior on rumors. This model presents open issues and forwarded ideas to provide an insight for future work in the area of building Rumor-Human Behavior computational models.
TibbOntoExpo: An Expert System based on Ontology Representation to use Prophetic Medicine

Hadith is one of two sources of Islamic legislations beside the Quran. They are all about what Prophet Mohammed said or did during his life and his companions documented them. Hadith books contain, among all other aspect, prophet’s medicine which describe a lot of substances and herbs to treat several diseases. This paper introduced an Expert System named TibbOntoExpo to use prophetic medicine by representing the knowledge base using Ontology Engineering. The proposed system helps users to get benefit of this valuable kind of medicine in an attempt of treating several diseases and health abnormalities without the need to visit the specialists. The system was evaluated by several experts in the field and its performance, precision and recall values showed that the proposed system is competitive.
Biofilm algorithm for global numerical optimization

: Swarm intelligence algorithms are based on the behavior and intelligence of living organisms that exist in nature. Amidst living organisms, Bacteria is a micro-organism that exhibit intelligent behavior by the development of biofilms to overcome harsh and adverse environment such as antibiotics and other bacteria. This survival behavior of bacteria forms the basis for the design of Biofilm (Bifi) algorithm in this paper. Biofilm algorithm uses three important characteristics of biofilm forming bacteria viz., conjugation, transformation and quorum sensing for solving real-world optimization problems. Biofilm algorithm is applied to global numerical benchmark test functions and compared with known state-of-the-art optimization algorithms.
SPWM Method for Four-Leg Voltage Source Inverter Fed unsymmetrical Two-Phase Induction Motor

Major goal of the unbalanced PWM technique for four-leg VIS unsymmetrical induction motor modulation technique has been applied for balanced control four-leg voltages sources inverter simulation give to behavior of unbalanced PWM technique for four-leg VIS unsymmetrical induction motor continuous and discontinuous versions of PWM unipoler modulation technique open-loop V/F control the constant Volt/Hertz method with sinusoidal Pulse With Modulation (PWM) and shows the advantages and disadvantages that is possible to achieve with this new method compared with the currently used method. Keywords—unbalanced PWM technique, four –leg VSI, induction motor, Volt/Hertz method.
A COMPARATIVE STUDY OF CLASSIFICATION VIA CLUSTERING WITH K-MEANS AND J48 ALGORITHMS

: This paper proposes a classification via clustering approach to predict the consumer claim of bank loans on the basis of bureau data. The proposed classification via clustering approach can obtain similar accuracy to traditional classification algorithms. Experiments were carried out using real data from bureau report of disputed YES or NO in case. In this paper mainly we analyzed and compare between meta classifier algorithms “classification via clustering” with J48 classifier and K-Means.
BRCA and Breast Cancer Risk: A Bio-Environmental Susceptibility Study, India

Breast cancer is considered to be the most frequent malignancy among women all over the world. The present study attempts to understand the molecular heterogeneity of BRCA1 and BRCA2 genes, as well as to understand the association of various lifestyle and reproductive variables for the risk of the disease. The study was conducted in a total of 110 patients and 128 controls that revealed DNA sequencing of ten Single Nucleotide Polymorphisms (SNPs) (6 novel). Significant (p<0.005) molecular heterogeneity is revealed in terms of SNPs in BRCA1 (4 exonic & 1 intronic variants) and BRCA2 (2exonic and 3 intronic variants) genes. The augmentation study revealed significant (p<0.005) association with positive family history, early age at menarche, irregular menstrual periods, menopause, prolong contraceptive use, nulliparity, history of abortions, consumption of alcohol and smoking towards disease risk. This study being the first of its kind, envisaged that the identification of the SNPs and modification of the lifestyle factors might aid to minimize the risk among the Bengalee Hindu females.
Hash Code Based Image Indexing and Retrieval

— the rapid evolution of multimedia and application has brought about an explosive growth of digital images in computer vision. Increasing use of image acquisition and data storage technologies have enabled the creation of large database. This development has actually increase need for image retrieval system. So, it is necessary to develop appropriate information management system to efficiently manage these collections and needed a system to retrieve required images from these collections. This paper proposed a Hash code based image indexing and retrieval system to retrieve images similar to the query image specified by user from database. Hashing methods embed high-dimensional image features into hamming space performing real time search based on hamming distance. Depending upon minimum hamming distance it returns the similar image to query image.
Identification of User Aware Rare Sequential Pattern in Document Stream- An Overview

Documents created and distributed on the Internet are ever changing in various forms. Most of existing works are devoted to topic modeling and the evolution of individual topics, while sequential relations of topics in successive documents published by a specific user are ignored. In order to characterize and detect personalized and abnormal behaviours of Internet users, we propose Sequential Topic Patterns (STPs) and formulate the problem of mining User-aware Rare Sequential Topic Patterns (URSTPs) in document streams on the Internet. They are rare on the whole but relatively frequent for specific users, so can be applied in many real-life scenarios, such as real-time monitoring on abnormal user behaviours. Here present solutions to solve this innovative mining problem through three phases: pre-processing to extract probabilistic topics and identify sessions for different users, generating all the STP candidates with (expected) support values for each user by pattern-growth, and selecting URSTPs by making useraware rarity analysis on derived STPs. Experiments on both real (Twitter) and synthetic datasets show that our approach can indeed discover special users and interpretable URSTPs effectively and efficiently, which significantly reflect users’ characteristics.
A Study to Improve the Handover Algorithm on the LTE - Advanced System In Terms Of Speed

LTE Advanced technology is not just a high-speed download rate, but an effective and successful Handover design requires careful choice of the Handover Margin (HO) variables and the optimal number of the process. The LTE-Advanced standard supports two variables to start Handover and target cell identification, namely the Handover Margin (HO) and start time. Effective Handover management is critical to wireless networks to maintain quality of service for user applications and equipment by supporting smooth Handover decisions. [2] A Handover algorithm based on the determination of the Handover decision was determined by dynamically determining the value of the Handover Margin (HOM) according to the use of the data, in order to study the algorithm for changing the speed and checking the stability of the system. Results show improved throughput, rate packet loss and system stability.
Event Video Segmentation using Trajectory Discontinuity

— The ability of accurately segmenting a video into events or scenes without any human intervention has been a challenge in computer vision. In this paper, we present a more accurate way of segmenting a video into events using trajectory discontinuities, which consist of two stages. In the first stage, we estimate possible regions where the scene changed using comparison of motion features we extracted by edge detection segmentation and the second stage, we use the estimated regions to estimate trajectory discontinuity using Large Displacement Optical flow (LDOF) which calculates the actual frame where the scene has changed. Our experiments have shown that this method have high accuracy rate and it is faster that the conventional way of event video segmentation.
LINEZOLID RESISTANCE AMONG STAPHYLOCOCCUS HAEMOLYTICUS ISOLATED IN BAGHDAD CITY

Linezolid is an oxazolidinone antibiotic in clinical use for the treatment of serious infections of resistant Gram-positive bacteria. Staphylococcus haemolyticus considered as the most antibioticresistant CoNS species. The aim of this study was to identify the linezolid susceptibility among S. haemolyticus isolates which isolated from Iraqi patients. Among 120 Staphylococcus isolates isolated from blood cultures, 46 isolates were identified as S. haemolyticus during 2014 -2015. Only two isolates were resistance to linezolid at all Linezolid used concentrations (i.e., 2μg/ml, 4μg/ml, 8μg/ml and 20μg/ml), the rest (95.65%) were sensitive to it at 2μg/ml. The susceptibility of ten representative isolates (8 sensitive to linezolid and 2 resist to it) showed the highest resistance recorded to Erythromycin as 10 isolates from 10 (100%), which appeared to be due to methylation mechanisms in 9 isolates and one isolate due to other mechanism. Resistance to Clindamycin and Chloramphenicol was recorded.
A REVIEW OF OBJECT RECOGNITION USING VISUAL CODEBOOK

— Automated recognition of object categories in images is a critical step for many real-world computer vision applications. Interest region detectors and region descriptors have been widely employed to tackle the variability of objects in pose, scale, lighting, texture, color, and so on. This review paper studies codebook models which is used for various computer vision tasks and the different features of object recognition system. The codebook model-based approach provides state-of-the-art performances on current datasets. This approach is impressive because we are simply modeling the statistical distributions of low-level image features into a fixed-length vector in histogram space to which standard classifiers can be directly applied. The discriminative power of such a visual codebook determines the quality of the codebook model and its size controls the complexity of the model.
Mlambo, V. (2018). An overview of rural-urban migration in South Africa: its causes and implications. Archives of Business

INTRODUCTION South Africa’s urban population is reported to be growing at alarming rates and it is projected that by 2050, a staggering 80 percent of the population will be residing in urban areas and this will surely have significant implications for rural development and growth. Debatably, one may opine that the government has not adequately invested in the development of rural areas as many are still characterised by the lack of infrastructure, limited access to educational and health services and limited economic opportunities needed for one’s development. South Africa is rapidly urbanizing as more and more people are moving to urban areas mainly because of the perceived better living and working conditions that are ought to be present.
Maximum Power Point Tracking Algorithm for PV Systems using Partially Shaded Conditions

The performance of a photovoltaic (PV) array is affected by temperature, solar insulation, shading, and array configuration. Often, the PV arrays get shadowed, completely or partially, by the passing clouds, neighboring buildings and towers, trees, and utility and telephone poles. Under partially shaded conditions, the PV characteristics get more complex with multiple peaks. This makes the tracking of the actual maximum power point (MPP) a difficult task. In this paper, a simple technique of MPPT is presented for photovoltaic power generation system to solve the aforementioned problems. It realizes simple control system to track the real maximum power point even under non-uniform or for rapidly changing insulation conditions. The proposed technique in the first stage searches the I-V characteristic of the PV arrays by scanning the whole range. Simulation and some selected experimental results are presented to prove the feasibility of the proposed technique. Keywords— Photovoltaic (PV) array, MATLAB Simulink, Maximum Power Point Tracking (MPPT)
Augmenting Privacy For E-Wallet Applications Using Ranked Keyword Search

: Mobile cloud computing is an emerging Internet-based computing system, which enables mobile users to remotely store their data in a server and provide services according to their needs. Many of the devices which use mobile cloud computing are portable these days. Here, Data security and privacy become significant issues in this contest. Before mobile cloud users, a safe data access control mechanism must be given as most customers have to outsource delicate information for storage to the mobile cloud. Nowadays, many of the MNCs and other famous organization uses mobile cloud services for data sharing, data storage, etc. As there are lots of confidential corporate data being shared on mobile cloud servers, it is very important to provide an efficient encryption system to encrypt outsourced data with fine-grained access control. In the mobile cloud, environment encryption can be the best option to secure data out there. The data may be either Private data or Public data. The public data can be shared among trusted clients that provide an open environment to connect with the organization or the data owner. Private data is client's confidential data, and it needs more security and privacy so the data must be transferred in encrypted form. In this paper, various encryption schemes are studies and used in enabling.
Simulation and Analysis of 4 bit applications using 9T full adder

— the most timing critical part of logic design usually contains one or more arithmetic operations, in which addition is commonly involved. Addition is a fundamental arithmetic operation and it is the base for arithmetic operations such as multiplication and the basic adder cell can be modified to function as subtractor by adding another XOR gate. Therefore, 1-bit Full Adder cell is the most important and basic block of an arithmetic unit of a system. Hence in order to improve the performance of the digital computer system one must improve the basic 1-bit full adder cell based application. In this paper simulate the performance of 4 bit adder-subtractor, 4 bit Carry skip adder and 4-bit multipliers are designed using 9T full adder. All the simulation results are using TSMC-0. 18µM CMOS Technology.
DISTRIBUTED ADAPTIVE ROUTING IN WIRELESS ADHOC NETWORKS

:- An ad-hoc network of wireless static nodes is considered as it arises in a rapidly deployed, sensor based, monitoring system. Information is generated in certain nodes and needs to reach some designated gateway node. Each node may adjust its power within a certain range that determines the set of possible one hop away neighbours. Traffic forwarding through multiple hops is employed when the intended destination is not within immediate reach. The nodes have limited initial amounts of energy that are consumed in different rates depending on the power level and the intended receiver. But, in practice this is difficult to achieve since existing protocols do not provide accurate power information and do not exploit these savings in a mobile environment.
FEATURE SPECIFIC SENTIMENT ANALYSIS FOR BEAUTY PRODUCTS

--In this paper, a far reaching investigation of how to model and consequently examine the opinion rich data contained in customer reviews of beauty products is provided. Specifically, the task of featurebased sentiment analysis has been considered. Given an accumulation of review messages of beauty products, the objective is to recognize the particular aspects consumers have commented on and to choose whether the reviews are fairly positive or negative.
Node mobility prediction in Wireless Adhoc Network

: Generally, Link between any two nodes in the wireless network is a bottleneck in process of selecting a path in a network, or among or across multiple networks. Nodes are moving in the network unknowingly. So even if an algorithm selects the node during the path initialization process for the transmission of data among source and destination node, we cannot predict that node will be on the same position in the network when actual data transmission starts. There are many algorithm defined in selection of path in ad hoc network. This paper proposes new concept called Neural Network (NN) model. It predicts the node movements in ad-hoc network during data transmission. Algorithm can predicts the movement of a node in a network on the basis of information of previous movements of that node.
Synthesis, Characterization and Antimicrobial activity of Mixed Ligand Complexes of Mn(II) and Zn(II) with Phthalic Acid or Succinic Acid and Heterocyclic Amines

Mixed ligand complexes of Mn(II) and Zn(II) in the presence of phthalic acid or succinic acid and heterocyclic amines were synthesized and characterized. The structure of the synthesized complex was determined by elemental analysis, magnetic moment measurements, conductometric, FTIR spectral studies, and electronic spectra analysis. The complexes were showed colored, nonelectrolytic in nature. Complexes of Mn(II) were paramagnetic and Zn(II) were diamagnetic. Our results indicated that the Mn(II) complexes were octahedral, while Zn(II) complexes were of tetrahedral and octahedral structure. The synthesized complexes showed both antifungal and antibacterial activity.
Detection of ARP Spoofing

- Because of digitization in every field, the number of internet users in the world has been increased in these days. This has also attracted the increase in the cyber attacks. Most of the internet attacks are done using the IP spoofing either to mask the identity of the person or to steal the information from the internet. Some of very commonly used such attacks are denial of service attack, man in the middle attack. In this project work, it has been planned to find the IP spoofing using Modified Hop Count Filtering (M-HCF) method. M-HCF uses all possible hop counts of a host for a given destination. Upon receiving the packet, the hop count in the packet will be compared with the list of hop counts against its IP address in the hop count table maintained at the end point. The method will have added advantage over usual hop count filtering (HCF). It eliminates the rejection of legitimate packets upon change in the route because of router failure or traffic in that path. It has been planned to simulate the idea using NS2 to check the performance of the proposed method.