Miracle-dz/UniFAR-FTUs huggingface dataset:
Wireless Sensor Networks – Energy Perspective with Compressive Sensing

Wireless sensor networks are getting more importance with the technological progression of all realms of life. The critical issue of energy expenditure and management of wireless sensor networks (WSNs) has been discussed in this paper. Together with the normal procedures for saving the energy by using renewable energy sources, the study talks over the use of compressive sensing (CS) framework in WSNs to increase the energy efficiency. The energy efficient performance of different CS algorithms are discussed with necessary estimations. It is clear that for a sufficiently sparse sensor signal, a substantial amount of energy can be hold back by using CS methods. Keywords— Sensor Network, Renewable Energy, Compressive Sensing, Sparsity, Efficiency
Autoimmune Hepatitis-systemic Lupus Erythematosus Overlap Syndrome Diagnosed after Tapering Immunosuppressive Therapy

The differential diagnosis of systemic lupus erythematosus (SLE) and autoimmune hepatitis (AIH) is difficult due to the resemblance of these two disorders. However, the accurate diagnosis is important for prognosis and treatment that are different from each other. We report a case of AIHSLE overlap syndrome which tapering of prednisone and azathioprine therapy deteriorated the condition of a patient due to flare up of SLE. The patient was a 28-year-old woman diagnosed as AIH. After administrations of prednisone and azathioprine, her condition was improved. During dose reduction, she was admitted to our hospital as fever and dyspnea. She diagnosed as lupus nephritis. After high dose treatment with corticosteroids and azathioprine, she recovered. Once the diagnosis of autoimmune disease such as SLE or AIH has been made, clinicians should also be fully aware of concomitant other autoimmune disease.
A n E valuation of Load B alancing between Server Platforms inside a Data Center

The overview of principles of network load balancing between server platforms in a data center network is given in the work. The data center model in term of Infrastructure-as-a-Service is proposed in the work. The CPU utilization of server platforms and throughput capability which depended from the amount of servers is suggested to use as a main performance characteristics. The evaluation model of data center network and the formulas for CPU and throughput evaluation are also suggested in the work. The analysis of load balancing between server platforms was performed according to the proposed formulas in case of use a clustering.
CONCEPTUALIZING THE BOTTOM OF THE PYRAMID: THE HOPE-CRITICISM DICHOTOMY FROM AN ENTREPRENEURIAL PERSPECTIVE

C.K. Prahalad proposed that multinational corporations (MNCs) can successfully do business at the ‘bottom of the pyramid’ by adapting their product and service offerings, changing the lives of poor people, and ultimately transforming entire societies by sparking local entrepreneurship. While this notion has both followers and adversaries, we still lack conclusive evidence for or against it. In the view of the authors, this is mainly owing to the lack of a conceptual model explicitly based on Prahalad’s work that permits proper scientific research and goes beyond the numerous case studies that prohibit any generalizable deductions. By applying a systematic literature review process, we identify and summarize relevant, peer-reviewed, academic literature, leading to a conceptual model, as a basis for a call for further advanced research.
RETINAL BLOOD VESSEL SEGMENTATION USING MULTIFEATURE ANALYSIS

: The Detection of blood vessels in retinal fundus images is an important initial step in the development of systems for computer aided diagnosis of pathologies of the eye. In this study, we perform multifeature analysis for the detection of blood vessels in retinal fundus images. The vessel detection techniques implemented include Gabor filters, matched filters, Gamma Corrected version of inverted green channel and vesselness measures. Values of the area under the receiver operating characteristic curve of up to 0.9604 were obtained using the 20 test images of the DRIVE database.
Image Compression Techniques: A Review

— The rapid growth of digital technology has paved the way for many image processing applications and motivated the need for better compression algorithms. Image compression is the technique where the size of an image is minimized by keeping the quality of the image to an acceptable level. The main objective of image compression is to decrease the redundancy of the image thereby increasing the capacity of storage and efficient transmission. There are different ways by which images can be compressed. The purpose of this paper is to present information about Image Compression Technique . With a basic concept of image compression, an overview of various compression algorithms is presented here.
Non-Conventional Multi-level Inverter with Reduced Number of Voltage Sources and Switches

Multilevel inverters have got high quality output when compared with two-level inverters so for high power purposes the usage of Multi-level inverter applications has grow more ubiquitous in industries. In this paper, foremost a new topology for sub-multi level inverters is proposed and then the series connection of sub-multilevel inverters is put forth as a generalized multilevel inverter. This proposed multi level inverter has reduced number of switching devices. The optimal structure concerning the criteria such as standard voltage on the switches, number of switches and number of dc voltage sources etc is succeed by paying a special attention. Asymmetric condition is verified for proposed multilevel inverter by using MATLAB SIMULINK software.
PHYTOCHEMICAL SCREENING AND ANTIFUNGAL ACTIVITIES OF COMBRETUM RACEMOSUM (P. BEAUV.) (COMBRETACEAE) EXTRACTS AGAINST FIVE CLINICALS FUNGALS STRAINS

In an effort to help people get real benefit of the effectiveness of medicinal plants which are less expensive and affordable, aqueous and ethanolic extract of Combretum racemosum has been tested on the in vitro growth of. Aspergillus fumigatus, Aspergillus flavus, Trichophyton rubrum, Trichophyton mentagrophytes and Cryptococcus neoformans The antifungal tests were performed on Sabouraud medium in which the plant extract were incorporated according to the method of inclined tube double dilution. Concentrations were ranging from 200 to 0.78 mg /mL. The results showed that all the extracts tested have led to a significant inhibition of in vitro growth of all the strains. Ethanolic extract showed best antifungal actividy.
Efficient Altered Fingerprint Analysis and Rectification of Distorted Fingerprint

- Identifying person accurately is important aspect in many application areas like criminal cases. Face recognition system should be fault tolerant to handle such cases. Fingerprint recognition system has suffering through Positive and Negative classifications. Multi label classification can give best feature. In positive classification, where the physical access control systems and user should negotiate for self-identification. The false case classification broadly talks about low quality of images in case of user identification may authenticate malicious user. Distortion detection can categorized in two-class classification problem which can be solved using the registered ridge orientation map and period map of a fingerprint is used as the feature vector and a Lib SVM classifier is trained to perform the classification task. Distorted fingerprint rectification (or equivalently distortion field estimation) is viewed as a regression problem, where the input is a distorted fingerprint and the output is the distortion field. For such problems Detection and Rectification of distorted fingerprint is must.
COMPUTERIZED VIRTUAL STUDY ON SELF-SUPPORTING AND GUYED STEEL CHIMNEY

may be self-supporting or guyed chimney. Here in this paper, an attempt has been made to analyses the industrial steel chimney for the established wind forces and seismic force considering self-supported and guyed steel chimney at various heights 54m,72m&90m at various wind speeds of 33m/s,44m/s&50m/s respectively. Thus maximum lateral displacements and maximum stresses are compared by using software package STAAD.Pro. V8i for the above considered heights and wind speeds.
Image Security Using Steganography And Cryptographic Techniques

- Steganography is the art of hiding the fact communication is taking place, by hiding information in other information.Many different carrier file formats can be used,but digital images are the most popular because of their frequency on the internet.This paper introduces two new methods where in cryptography and steganography are combined to encrypt the data as well as to hide the data in another medium through image processing . This paper securing the image by encryption is done by DES algorithm using the key image. The encrypted image can be hide in another image by using LSB techniques,so that the secret’s very existence is concealed. The decryption can be done by the same key image using DES algorithm.
Design, Synthesis and Cytotoxic Evaluation of Novel HeterocyclicThioglycosides

A novel series of 2-thioxoimidazolidin-4-one and Benzothiazole thioglycosides were synthesized via one-pot reaction of the 2-thioxoimidazolidin-4-one and Benzothiazole thiolate salts, respectively with 2,3,4,6-tetra-O-acetyl- α-D-gluco- and galactopyranosyl bromides. The cytotoxic activity of compound 7, 8a, 8b, 10a, 10b, 15a and 15b were evaluated against MCF-7 cell lines (Breast carcinoma cell lines) showing high to moderate anti-tumor activities moreover molecular modeling of these compounds revealed that they have high binding affinity through hydrophobichydrophobic interaction and moderate selectivity through the hydrogen bond interaction with the atypical nucleotide binding pocket in the amino terminus of HSP90.
QoS Aware Multicast Routing in Mobile Ad Hoc Networks: A Contemporary Affirmation of Benchmarking Models

— The contemporary research work is focussed on developing applications based on Mobile Ad hoc Networks (MANET) for a rapid wireless infrastuctureless communication either for personal or public requirements. Mobile Ad hoc Networks with large network size and highly dynamic real-time traffic for collaborative data sharing and computation ina VOIP, VoD, or P2P based communication require routing strategies to be designed in terms of different types of data, applications and MANET specific environmental challenges of node mobility, multiple users accessing shared resources, data transfer using multiple hops, and with limitations of link breakages, packet transmission delays, losses etc. All these constraints require an optimized and inflexible utilization of available resources of bandwidth and power. The multimedia transmissions are with additional challenges as it is characterized with rapid real time changes in the traffic and for recognizing the changing traffic patterns efficient strategies are needed for the routing and in guaranteeing Quality of Services. The devising of strategies of QoS specific multicast protocols today is faced with mostly mobile ad-hoc networks topology specific challenges. Several strategies have been proposed for the routing problem and for the multimedia data specific routing in mobile ad-hoc networks where compared to other approaches the multicasting strategy in group systems communication offers superior, higher capacity, reliable communication, with efficient usage of bandwidth and power, has better error control, security while limiting the costs, delays and packet losses overhead. To provide a better overview of the various multicasting strategies we have in this paper discussed various literature approved QoS multicast routing protocols with a taxonomy where the different protocols are classified according to different parameters and discuss the complexities associated with the current research activities. The review covers several benchmark QoS multicasting routing protocols and their performances based on service attributes like ratio of packet loss, jitter, delay, etc. with finally comparing their performances.
Development of Oil Seal from Natural Rubber Using Coconut Shell and Rice Husk as Fillers

The essence of this research is to determine the physicochemical properties of oil seal made from natural rubber using cocoanut shell and rice husk as fillers to determine their competitive strength with the standard carbon black. Alkaline fillers accelerate curing while acidic ones retard curing in the processing of natural rubber. Curing refer to a process that helps in the crosslinking of the different components added to the rubber after formulation and compounding. From the test result, Coconut shell and Rice husk filled seals had pH values of 7.5 and 7.1 respectively compared with the standard having a pH value of 6.5. The rate of sorption depends on the moisture content, nature of the filler and also loss on ignition of the filler.
Reducing the Power Consumption of Wireless Sensor Networks with Anycast

— In this paper, we are interested in reducing the energy consumption of event driven wireless sensor networks for which events occur infrequently. It also maximizes the lifetime and minimizes the delay of wireless sensor networks. In present systems most of energy consumed [1] when radios are on, waiting for a packet to arrive. To reduce energy consumption of sensor nodes sleep-wake scheduling algorithm is an effective mechanism . This algorithm also prolong the lifetime of these energy constrained wireless sensor networks. However, sleep-wake scheduling could result in substantial delays because a transmitting node needs to wait for its next-hop relay node to wake up. It reduces these delays (energy consumption) by implementing “anycast”-based packet forwarding schemes, where every node forwards a packet to its first neighboring node that wakes up among multiple nodes. In this paper, we study how to optimize the anycast forwarding schemes for minimizing the expected packet –delivery delays from the sensor nodes to the sink. Based on this result, we then provide a solution to the joint control problem of how to optimally control the system parameters of sleep-wake scheduling protocol and the anycast packet forwarding protocol to minimize the energy consumption and maximize the network lifetime, subject to a constraint on the expected end-to-end packet – delivery delay. Our solution can outperform prior heuristic solutions in the literature, especially under practical scenarios where there are obstructions.
Protein Structure Comparison Based on Relative Orientation of Secondary Structure Elements

- In this paper, a new representation of the protein structure is proposed which facilitates the comparison between protein 3D structures. A representation is proposed based on the orientation of Secondary Structure Elements (SSE’s) of the protein and their axes and inter-direction. The proposed algorithm, Relative Orientation of Secondary Structure (ROSS) is sequence independent and aligns the structures sequentially. The algorithm has two stages, the pre-processing and the comparison. During the first stage, descriptors for each protein are computed from the secondary and tertiary structure data in the PDB files. The Descriptors, SSE data and coordinates of the CA atoms are stored on the permanent storage to be used in the second stage. During the second stage, an initial 3D alignment for the centroids of the matching SSE’s is done using the Kabsch algorithm. The centroids are considered pivot points which determine the orientation of the whole protein. The transformation matrices from Kabsch algorithm is then applied to the coordinates of the CA atoms of the query protein. Then the final alignment is calculated. The algorithm is fast enough to search for similarities within large datasets in real-time.
Urban Renewal through Sustainable Development: A Case Study in Iran

Decayed urban areas, especially those located in the city center, are one of the major problems of cities. These areas, which known as the main nucleus of cities at the time of their emergence, have lost their previous prosperity and importance due to several reasons such as the deterioration of their properties, the immigration of their original residents and the development of the city in other areas. They are mostly old neighborhoods where the middle and low classes of the society live together. In this paper, we aim to examine the problems of urban blight in the Bagherabad neighborhood, Rasht, Iran, from the sustainability perspective and provide it with a renewal plan. Bagherabad is a decayed urban neighborhood facing with serious physical, social, cultural, environmental and economic problems. Not only have these issues affected this neighborhood and its inhabitants, but they also have spread to its neighboring areas. To mitigate the adverse effects of these issues, we propose a restoration plan with a substantial focus on elevating social qualities such as vitality, dynamism, identity, social interactions and security. For this purpose, based on the field surveys, questionnaires and interviews with a considerable number of residents, we collect the required information about the existing issues in the neighborhood. Then, we propose a sustainable plan using descriptive methods, expertise knowledge and experiences have gained from the implementation of renewal plans in other regions.
Fuzzy Convolutional Neural Network Based Noise Reduction Technique in Scene Text Detection and Recognition

This paper proposes a scheme for noise reduction in low illumination images. There are various methods already in existence for noise reduction but hybrid models have given better results many times. The proposed scheme is based on a Hybrid Neuro-Fuzzy Model. This model may be termed as Fuzzy Convolutional Neural Network. While detecting and recognizing texts present in the scene images, there is an issue of noise. This noise may be present due to low intensity of light. Since the proposed model will be an integration of Neural Network and Fuzzy Logic, hence it will have the capability to learn and to handle uncertainties present in the noise affected image. This model will reduce the noise present in the image and will present a better recognition of texts in scene images
Analysis of an Efficient Approach for Duplicate Detection System

: In computing, there are multiple representations of same data. Finding out those duplicated data is a difficult task. Duplicate detection is the process of identifying those redundant data to reduce storage utilization and avoid the confusion. Today, duplicate detection methods need to process larger data in shorter time period. The proposed system will be having efficient approaches for finding duplicate data. The first is based on Novel progressive duplicate detection algorithms that will significantly increase the efficiency of finding duplicate files. The second is based on secure hashing algorithm which will find duplicated content by dividing the data into chunks. The best algorithm will be analysed for finding duplicate data with higher accuracy and also in a shorter time span.
Evaluation of Environmental Impact of Dolerite Mining in Nigeria (Suspended Particulate Matter and Heavy Metal Concentrations)

The Source Sampling of Particulate Matter (PM) of heavy metal distribution in dolerite mining site, Uturu, Abia State, was investigated using a High-Volume Sampler method. The Suspended Particulate Matter (SPM) concentrations was reported to be 2542.6, 2507.1, 2213.4, 2153.3, 3306.8, and 20.5 μg/m<sup>3</sup> which was mostly higher than the limits of 200 and 50 μg/m<sup>3</sup> set by NESREA [10] and WHO [17] respectively in most locations around the quarry site, there were regions where the values were considerably lower than these standard limits. Specifically, results obtained in the areas such as Behind Crushing Zone, Office 1, Generator House, Office 2 and Crushing Zone were markedly above the control (26.8µg/m<sup>3</sup>).
A Unique Fifteen Level Inverter Topology for Grid Connected Applications

This paper proposes a solitary stage fifteen-level inverter utilizing seven switches, with a novel pulse width-balanced control strategy. The Proposed staggered inverter yield voltage level ascending by utilizing less number of switches driven by the multicarrier adjustment systems. The inverter is equipped for creating fifteen level of output voltage from the dc supply voltage. The proposed framework was checked through reproduction and executed in a model.
Segmentation of Lungs Lobes and Distinction between Bening and Malignant Nodules by Use of Massive Training Artificial Neural Network for Surgical Preplanning

– CT images offer detailed information of lung cavities ,which could be used for better surgical planning of treating lung cancer The identification of the lobar fissures in computed Tomography(CT) images are very difficult even for experienced surgeons because of its variable shape and appearance along with low contrast and high noise association with it. This paper present a lobe segmentation algorithm that has two phases: 1)Adaptive fissure sweeping to find fissure region and 2)wavelet transform to identify the fissure location and curvature within these region. The algorithm show an accuracy of 76.7%-94.8% . The obtained results show that the proposed work can help the surgeon to identify the cancer location and segment lung lobes for surgical planning for treating lung cancer. Our purpose in this study was to develop a supervised filter for enhancement of actual lesions for distinction between benign and malignant nodules by use of massive Training artificial neural network (MTANN). The MTANN is a trainable , Highly Nonlinear filter based on an artificial neural network. In this we have to distinguish malignant nodules from six different types of benign nodules, further we developed multiple MTANN which consist of six expert MTANN that is arranged in parallel. In this input CT image and the teaching image which contains the estimate of the distribution for the “likelihood of being a malignant nodule,” is given to trained MTANN. i.e., the teaching image for a malignant nodule contains a two-dimensional Gaussian distribution and that for a benign nodule contain zero. Each MTANN was trained Independently with ten typical malignant nodules and ten benign nodules from each of six types Further the output from six MTANN were combined and by use of an integration ANN such that the six type of benign nodules could be distinguished from malignant nodules. After Training of the integration ANN our scheme provide a value related to the “likelihood of malignancy “of a nodule , i.e a higher value indicates the malignant nodule, and lower value indicates a benign nodule . OUR scheme correctly identified 100% Malignant nodules as malignant, whereas 48% of benign nodules were identified correctly as benign. Therefore, our scheme may be useful in assisting radiologists in the diagnosis of lung nodules in LDCT.