Miracle-dz/UniFAR-FTUs huggingface dataset:
Industrial monitoring system

In our project, we are trying to implement IoT in the manufacturing area for monitoring the industries and obtaining the crucial data that can be used to implement automated decisions using machine learning for the safety of the workers in an industry an increasing the productivity and efficiency of an Industry. Also, we will discuss some the current trends in the Industrial IoT or Industry 4.0 and see If there could be any improvement that can be done in this sector and discuss challenges we can face in implementing IoT and how can be these challenges be addressed. Industry4.0 is a name given to the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things, cloud computing and cognitive computing. Industry 4.0 is considered as the fourth industrial revolution. All these, when implemented to a Manufacturing Industry, can improve the production system and Safety of an Industry.
Genetic diversity and phylogenetic relationship as revealed by inter simple sequence repeat (ISSR) polymorphism in the tropical tasar silkworm

The tasar silkworm, Antheraea mylitta D. tropical tasar silkworm is cultivated in the dense, humid, tropical forests of eastern, central and southern India. It is feeds on eight primary food plants. The primary food plants are Terminalia Arjuna, Terminalia tomentosa, Shorea robusta, Lagerstroemia parviflora, L. speciosa, L. indica, Zizyphus and Hardwickia binata. The present studies of genetic relations based on phylogeny of tasar ecoraces using co climatic factors, the changes at DNA level and its wide range of distribution in varied geographic conditions would lead to genetic divergence ultimately leading to the formation of new ecoraces.
Assessment of SQL Injection Solution Approaches

— Online banking (Net banking) has become the most common way for executing financial transactions in recent past. As a result, the web has become Centre for e-marketplace and network as a backbone. Cyber attacks have increased in numbers and became more sophisticated. Almost 60% of web resources are vulnerable. Web applications have been facing challenges against data (loss, confidentiality and integrity) and availability. In this paper, the authors performed an evaluation of Web application security solution techniques. We conclude that there is utmost urgency to use hybrid (mixed) security solutions for web applications against attacks.
An Approach on the Distributed Detection Algorithm for Wormholes in Wireless Network Systems

- Wireless sensor network are vulnerable to various type of attacks and hence security is a necessary in mobile ad-hoc network to provide protected communication between mobile nodes. Wormhole is one type of routing attack where malicious nodes promote as it has shortest straight path to all nodes in the environment by conveying fake route reply and their by destabilize wireless sensor networks. In a distinctive wormhole attack, the attacker obtain packets at one point in the network, forwards them through a wired or wireless link with less latency. In this paper, the techniques dealing with wormhole attack are investigated and an approach for wormhole prevention is proposed. We used four different metrics like DAWN, AODV, LEECH, DSDV were used in the evaluation of the Sequence Number Attack Detection and countermeasure mechanism. Among the four metrics the DAWN protocol has improved on many fronts. Our method has been shown to detect local as well as distributed attacks. This depicts a distributed wormhole detection algorithm for wireless sensor networks and main advantage of the algorithm is that it can provide the approximate location of wormholes, which is useful in implementing countermeasures. Simulation results reveals that DAWN has algorithm has low false toleration and detection rates.
Capital Structure Performance A Case Study of State Bank of India And HDFC Bank limited

Capital structure is significant discipline of banking operations. This researcher constitutes an attempt to identify the impact ofCapital Structure Performance of two leading and rank one public and private sector banks. The analysis was donewith the Capital Structure and its impact on financial performance of select two banks during year 2012-13 to 2017-18 (Five years) of SBI and HDFC banks.The purpose of this paper is to examine the extent to which growth determines of Capital Structure and profitability performance of these two banks. This is done by examining the Capital Structure components consisting of total debt, short term debt and long-term debt of SBI and HDFC banks and then testing the resulting ideas empirically. This paper may provide useful insights for the interested stakeholders, such as customers, depositors, borrowers and investors etc.
Effect of Different Fiber Angles for Composite Material with Fiberglass Reinforced on Mechanical Properties

--This study evaluated the effect of the different angles of the fibers in the composite materials reinforced with fiberglass on the mechanical properties. The study used the comparison of the effect of orientation of the fibers in order to improve strength and tenacity. Two dimensional fiber reinforced composites are characterized by a laminated structure in which the fibers are aligned along a plane in X, Y and Z of the material. This study shows that the best strength when the fiber is perpendicular to the tensile force, resulting in a maximum strength when the fibers were oriented ([0°/0°]) (287.3 MPa) while the same was minimum in the direction perpendicular ([0°/90°]) (110.7 MPa) and then with 45° angle (156.3 MPa). Finally, the forces are increased when the fiber volume fraction increases unless they exceed 60% of the composite material, not ensuring good wettability of the fiber by the matrix. Keywords---Composite material, Fiberglass, Resin, Resistance and Tenacity.
AN EMBEDDED ARCHITECTURE FOR FEATURE DETECTION USING MODIFIED SIFT ALGORITHM

In video analytic and computer vision systems, image feature detection and matching is the fundamental task in object recognition, image indexing, visual localization etc. These processes establishes the correspondence between two images taken at different time. To most of the embedded systems, the challenge is its large complexity in computation. Real-time performance is a critical demand to most of these applications, which require the detection and matching of the visual features in real time. The thesis work proposes a new FPGA-based embedded architecture for image feature detection. In this the Scale Invariant Feature Transform (SIFT) feature detector is used to reduce the utilization of FPGA resources. The correspondence point pairs obtained can be either used in an embedded application or accessed via Ethernet for remotely computer vision applications. Here a modified Gaussian filter is used for keypoint detection, in which the adder-multiplier sections are fused by using a modified Booth recoder design. This design will increase the performance of the whole system with considerable reduction in delay, power consumption and hardware complexities. The detected feature keypoints from the image can be described using feature descriptor module. The binary stream of bits are obtained from the description section and finally a feature matching process is done to identify whether the two images taken at two different time were matched or not. The software used for the work is Xilinx ISE Design Suite with Verilog coding.
Review of Web Crawlers with Specification and Working

: Due to the size of the web and its dynamic nature, building an efficient search mechanism is incredibly necessary. A huge range of web content is regularly being added each day, and information is continually changing. Search engines are used to extract valuable info from the web. Web crawlers are the principal part of search engine. It's a computer program or software that browses the World Wide Web in an exceedingly methodical, automatic manner or in an orderly fashion. It is an important methodology for collecting information on, and keeping up-to-date with the quickly increasing web. This Paper shortly reviews the ideas of web crawler, its design and its varied types with specification and working.
A Survey on Design of Compact LTE/ WWAN Antenna for Tablet Computers

: Long Term Evolution (LTE), is also known as 4G is a rapidly growing common global technology and it becomes attractive for modern mobile devices such as the smart phones, laptop computers a tablet computers. The internal antennas embedded in these modern mobile devices are smaller in size and hence they are usually demanding for practical applications. In this paper review of several promising LTE/WWAN antennas for tablet computers is given
Assessment of Timing of First Antenatal Care Visit and Associated Factors Health Institutions, Southern Ethiopia

Introduction: The new focused antenatal care model recognizes that every pregnant woman is at risk for complications and four antenatal care visits are recommended for most pregnant women; the first one being early in the first trimester. When pregnant women attend antenatal care late they miss the cares being provided in the first 16 weeks. Therefore it is important to assess timing of first antenatal care visit and identify associated factors for late coming for the sake of intervention. Methods: Institutional based cross-sectional study was conducted among 362 randomly selected pregnant women from April to June 2014 in Dilla town, Southern Ethiopia. The data had been entered in to Epi Info version 7 and analyzed through SPSS version 20. Bivariate analysis was run to look for the association between dependent and explanatory variables; and using variables which have p-value ≤ 0.25 binary logistic regressions was fitted. Association presented in odds ratio with 95% confidence interval and significance determined at P-value less than 0.05. Results: The mean time of first antenatal care visit was found to be 15.9 (SD 3.7) weeks and the proportion of women who visit their first antenatal care within the recommended time (before or at 16 weeks of gestation) was 49.7%; nearly equal to late presentation. Rural residence (AOR=3.6, 95% CI (1.72, 6.62)), low monthly income (AOR=3.20, 95% CI (1.5, 6.74)), illiteracy (AOR=1.48, 95% CI (1.12, 3.04)), not being advised on timing of visit (AOR=4.64, 95% CI (2.32, 8.17) and unplanned pregnancy (AOR=5.02, 95% CI (2.21, 8.95)) were independent predictors of late presentation for first antenatal care. Conclusion: Even though, half of pregnant women started antenatal care attendance during the first trimester the finding was not satisfactory. Hence, further activities are needed through health education and promotion.
An Efficient Authentication Protocol for Security in Mobile Ad Hoc Networks

- Mobile Adhoc Network(MANETs) is a collection of mobile nodes that communicate by forming a network dynamically that lacks fixed infrastructure and centralized control. Secure routing is of at most importance in such networks because of dynamically changing topologies, absence of centralized monitoring points and lack of clear lines of defense. This paper discusses a fool proof key exchange mechanism and a network model to protect the network containing malicious nodes. The reputation of a node increases as long as the node transfers the message properly and decreases otherwise. Moreover, it has minimum computation and communication overhead which makes it viable.
OBJECTS RECOGNITION AND POSE CALCULATION SYSTEM FOR MOBILE AUGMENTED REALITY USING NATURAL FEATURES

This study presents a system for real world objects recognition and camera pose estimation from natural features in mobile augmented reality. The system recognizes real world objects in real-time directly without any marker and desktop server. The system extracts natural features by using optimized “Speed up Robust Features” SURF algorithm for mobile architecture. The features are further used by pose estimation algorithm for tracking. This system will provide instant information to smart phone user about real world objects like historical places and products. The experiments show that the formulated algorithms provide stable and accurate registration, robust recognition, and tracking of real world objects from natural features in a speedy, easy, and convenient way on iPhone 4S mobile phon.
MORPHOSTRUCTURAL CHANGES INDUCED IN E. COLI EXPOSED TO COPPER IONS IN WATER AT INCREASING CONCENTRATIONS

Atomic Force Microscopy (AFM) has been used to elucidate the morphostructural changes occurring as a result of copper internalization in E. coli. The study documents a gradual aqueous leaching and built-up of copper ions within the cell using Atomic Absorption Spectroscopy (AAS). It further correlates the same to the morphometric changes studied using AFM and the cell viability studied using confocal microscopy. The cell perturbations take place within one hour of exposure to copper ions in water. Cell elongation takes place with the increase in exposure time and therefore copper ion concentration. Partially perturbed structure of the cell and accumulation of the cytosolic contents towards the apical ends of the cell reveal the inside-out mode of cell damage caused by copper ions. KEYWORD: E. coli, copper, Atomic Force Microscopy, Confocal Microscopy, Atomic Absorption Spectroscopy, Morphostructure. Abbrevations: AASAtomic Absorption Spectroscopy; AFMAtomic Force Microscopy.
Channel Estimation In MIMO -OFDM Wireless Communication Systems

The global explosion in the use of wireless (handheld) devices that rely heavily on wireless infrastructures/systems for their functioning necessitates the need for robust and efficient wireless communication systems. MIMO-OFDM wireless systems have been shown to improve spectral efficiency and reliability among other advantages. However, their deployment in mobile time-varying environments requires very accurate estimation of the channel characteristics. This paper reviews channel estimation in MIMO-OFDM wireless communication systems and their suitability for mobile time-varying channel environments.
Feature Extraction of Edge Detected Images

— Nowadays, Digital image processing is an ever expanding and dynamic area with applications reaching out into our everyday life such as in medicine, space exploration, surveillance, authentication, automated industry inspection and in many more areas. For building such high speed systems, Edge Detection and Feature-Extraction, as an important process in motion recognition is required to be processed. Edge is a basic feature of an image. Edges define the boundaries between regions in an image by locating sharp discontinuities in pixel values, which helps with segmentation and object recognition. Image Edge detection significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image. Since edge detection is in the forefront of image processing for object detection. This project describes Sobel Edge Detection algorithm and labelling algorithm for extracting features of images.
Abstract Implementation of Graph Mining Technique using Structural Datum in Viral Marketing

-Graph mining and marketing has become an important topic of research recently because of numerous applications to a wide variety of business problems in computational biology, chemical data analysis, drug discovery and communication networking. Nowadays Graphs play a vital role everywhere, occupying the social networks and mobile networks to biological net-works and the World Wide Web. Mining big graphs leads too many interesting applications including marketing, news groups, community mining, and many more. In this paper we describe a technique for the implementation of real-time marketing to a Graph Mining pattern. Our findings include designs to survey different aspects of graph mining and management, and provide a compendium for other researchers in the field. The results are revealed for selecting the optimized maximum priority based network selection to implement the marketing action. In the future we will extend our research to propose a Graph-Analysis Implementer for any real-time complex entities.
A Review on Various Identity Management Systems

– In this era there is a significant growth in identity management solution because of their potential importance as what and how properly they handle the sensitive data. The paper present the review on digital identities which is to be handled by various Identity Management System (IDMs). The paper first provide the definition of Digital Identities and their management. Then these digital identities are embedded in a particular model which is called conceptual model of identity management. Then there is a brief review on various Identity Management system and their advantages and disadvantages as proposed by different authors but our focus is on emerging technology i.e. Microsoft Cardspace and the solution for improving its security vulnerabilities.
Analysis of Privacy Challenges and Security Concerns in Cloud Computing

— Cloud computing is a method to enhance the capacity dynamically without investing in new infrastructure, training new personnel, or licensing new software. It can be viewed as a cost effective solution to various security threats. It extends the existing capabilities of Electronics and Communication world and its ongoing capabilities. In the last few years, cloud computing has grown from being a promising business concept to one of the fast growing segments of the Communication industry at large. But as more and more information on individuals and companies are added in the cloud, concerns are beginning to grow about just “how safe” an environment it is. Despite of all the hype surrounding the cloud, enterprise customers are still hesitating to deploy their business in the cloud. Security is one of the major concern which curbs the growth of cloud computing and complications with data privacy/security and data protection continue to plague the market. In this paper, a survey of the different security risks that pose a concern to the cloud is presented. This paper is a survey more specific to the different security issues that has emanated due to the nature of the service delivery models of a cloud computing system.
Diversity Management in Organisations Located within the Visegrad Group V4 Countries (The Czech Republic, Poland, Slovakia and Hungary)—State of Implementation and Benefits

The goal of this article is to determine the state of implementation of the concept of diversity management in organisations within countries belonging to the Visegrad Group V4 and gather opinions regarding if and (if so) what benefits result from implementing this concept. For the purposes of the research, the literature on the topic was reviewed and a diagnostic survey was conducted, which was based on a survey questionnaire. Empiric research was conducted in 2016-2017 on a test group of 401 representatives from organisations in the Visegrad Group (Poland, the Czech Republic, Slovakia, Hungary). These were qualitative-quantitative studies. According to the research, the level of implementing diversity management in the organisations examined is low, despite the fact that the representatives saw its benefits and declared their intent to seek more knowledge on this topic. Unequal treatment and discrimination, according to the respondents, occurs most frequently due to age, and at a further stage, due to gender and ethnic origin. The research has shown that according to the opinion of the respondents from the organisations, diversity management carries a multitude of benefits.
Data converters for Scalable CMOS mixed signal Systems for VLSI

– Data Converters are one of the circuits that belong to nonlinear category of analog and mixed signal circuits. The presented paper discusses data convereters fundamentals, various DAC and ADC architectures and methods to implement those. Previously digital circuits form the basis of two discrete amplitude levels based circuits and systems. Nonlinear circuits are not purely analog or digital. These circuits belong to the category of mixed signal circuits where the inputs are not linearly related to outputs. Data converters a circuit that changes analog signals to digital representations or vice versa play an important role in an ever-increasing digital world. As more products perform calculations in the digital or discrete time domain, more sophisticated data converters must translate the digital data to and from our inherently analog world. This paper introduces concepts of data conversion and sampling which surround vast category of Data converter circuits.
Nano-particles based novel schemes for super- resolved imaging, medical diagnosis & treatment

In this paper we will present the overview of our research in which usage of special nano particles either made out of gold or from ferromagnetic material, either being spheres or rods, can be used to large variety of applications including super resolved imaging, detection of cancer borders in malignant tissue, as well as for bio-treatment. In the first part of the presentation we use ferromagnetic nano particles coated with amine shell. Those nano particles are targeted towards a malignant tissue and heated up with external laser at wavelength matched to their absorption resonance. When applying external alternating magnetic fields those nano particles are mobilized and this controlled movement cause to much more efficient destruction of the cells of the malignant tissue by realizing much more efficient phot thermal therapy process [1]. In the second part of the presentation we intend to show how gold nano rods when injected into a tissue and illuminated with a laser in the right wavelength (matching the plasmonic resonance of the nano rods and adapted to the near infra-red spectral region in which tissues are more transparent) generate small heating of the cancerous tissue which allows improved detection of the borders of the cancer when inspected with thermal camera [2]. In the third part of the presentation we discuss novel schemes for realization of a nanoscope. The super resolved imaging concept is based upon the random (Brownian) movement of nano metric gold nano particles inserted into the inspected sample and used to apply localization algorithms and thereafter to construct a super resolved image with resolution matching the localization algorithms performance [3-5]. Since the localization precision is much higher than two points separation capability (the regular imaging resolution) of the microscope, the result is a label free nanoscope capable of imaging of nano metric intracellular features.
An Improved Binarization Technique for Degraded Document Images Using Adaptive Image Contrast

This paper presents a new adaptive approach to deal with degraded documents by using binarization method. The proposed method is mostly used due to its capability to work without any requirement of parameter tuning by the user. And this method can deal with documents degradations which normally occur due to non-uniform illumination, shadows, large signal-dependent noise, low contrast, strain and smear. This improved document image binarization technique focus on improving quality of text from poorly degraded document images. And this can be achieved with good efficiency and accuracy. As today’s world is moving towards digitization, binarization method comes in a demand, to achieve the preserving target of historical documents. to deal with the degraded documents this proposed method uses the adaptive contrast map as the combination of local image contrast and the local image gradient.