Miracle-dz/UniFAR-FTUs huggingface dataset:
Gray scale Medical Image Compression using SPIHT and SVD techniques

: Medical images are generated by different medical imaging techniques require various compression techniques to reduce the storage space with considerable image quality. This paper presents the performance of two different compression techniques for images i.e. Singular Value Decomposition (SVD) using singular values and wavelet transform based progressive structure of Set Partitioning In Hierarchical Trees (SPIHT) to reduce the size of images for accurate diagnosis. These two techniques are practiced on medical images of MRI,CT images of brain and X-ray of hand, and the results of these techniques are compared. SVD with less singular value provides high Compression Ratio (CR) with less Peak Signal to Noise Ratio (PSNR), whereas wavelet based multi resolution SPIHT technique provides more PSNR with better CR. These two techniques are compared with the quality metrics of PSNR, Mean Squared Error (MSE), CR and Bit Per Pixels (BPP). From the results, Wavelet based progressive SPIHT technique provides high PSNR, low MSE with better CR compared to SVD technique.
A Distributed Adaptive Routing Algorithm for Regular Networks-on-Chip

— In this paper, the problem of congestion in Networks-on-Chip (NoCs) is addressed. We employ a distributed approach by dividing NoC into several regions. Every region is controlled by a local agent. Each agent runs Dijkstra’s shortest path computation procedure to find the best routing path and avoids highly congested paths. This leads to significant improvement in network latency and throughput. Simulation results which are based on Verilog implementation of the system shows that the proposed routing algorithm improves system performance significantly
Mobile Question and Answer System Based on Social Network

: Question and Answer (Q&A) system based on social network gains more attention recently. The social-based Q&A systems answer non-factual questions, which cannot be easily resolved by web search engines. These systems either rely on a centralized server for identifying friends based on social information or broadcast a user’s questions to all of its friends. Mobile Q&A systems, where mobile nodes access the Q&A systems through internet, are very promising considering the rapid increase of mobile users and the convenience of practical use. However, such systems cannot directly use the previous centralized methods or broadcasting methods, which generate high cost of mobile internet access, node overload, and high server bandwidth cost with the tremendous number of mobile users. We propose a distributed social-based mobile Q&A system with low overhead and system cost as well as quick response to question askers. It enables mobile users to forward questions to potential answerers in their friend lists in a decentralized manner for a number of hops before restoring to the server. It leverages lightweight knowledge engineering techniques to accurately identify friends who are able to and willing to answer questions, thus reducing the search and computation costs of mobile nodes. The trace-driven simulation results show that Q&A system can achieve a high query precision and recall rate, a short response latency and low overhead.
Frequency of APOE, ACE, MTHFR an CCR5 Polymorphisms in Patients with Mild Cognitive Impairment in Costa Rican Population

Background: This is a descriptive cross-sectional epidemiological study describing the prevalence of polymorphisms within the Apolipoprotein E (ApoE), Methylenetetrahydrofolate reductase (MTHFR), Angiotensin converting enzyme (ACE), and Chemokine receptor 5 (CCR5) genes in patients with mild-cognitive impairment (MCI). Methods: The study analyzed 84 blood samples from patients diagnosed with MCI at the Memory and Aging Clinic at the Hospital San Juan de Dios in Costa Rica. The authors performed genetic analysis to determine and compare the genotypic and allelic frequencies in the MCI patients versus those reported for the Costa Rican population. Results: Genotypic and allelic frequencies obtained were compared to reports in Costa Rican population, and a gender-based analysis. There was significant difference in the APOE and MTHFR polymorphism (p=0.007446 and p=0.003329, respectively). Discussion: The study found a statistical difference in prevalence of the ApoE (e2, e3, e4 alleles) and MTHFR (C677T) polymorphisms in the MCI patients. The study lacks a cohort of age-matched control subjects that do not have MCI. However, this study is very relevant to our understanding the role played by these genes in the etiopathogenesis of MCI.
Detection of silent atrial fibrillation by pacemaker in patients with stroke or transient ischemic attack

Received: October 25, 2016; Accepted: November 04, 2016; Published: November 07, 2016 Atrial fibrillation (AF) is well-defined as a cardiac arrhythmia with the following features: superficial ECG displays ‘absolutely’ unequal RR intervals (AF is consequently at times recognized as arrhythmia absoluta), i.e., RR intervals that do not follow a repetitive form; there are no different P waves on the superficial ECG. Some apparently systematic atrial electrical activity may be perceived in some ECG leads, most frequently in lead V1; the atrial cycle measurement (when visible), i.e., the interval between two atrial activations, is typically variable and, <200 ms (>300 bpm). An irregular pulse should always raise the suspicion of AF, but an ECG recording is necessary to diagnose AF. Any arrhythmia that has the ECG features of AF and persists sufficiently extended for a 12-lead ECG to be documented, or at least 30 s on a rhythm stripe, should be considered as AF [1,2]. Silent AF (asymptomatic) may manifest as an AF-related complication (ischemic stroke or tachycardiomyopathy) or may be established by an opportunistic ECG. Silent AF may present as any of the temporal forms of AF [3]. Our study examined patients who had a DDDR pacemaker aiming to determine the number of patients that presents silent episodes of AF and never had an AF event detected before, in subjects that already suffered a stroke or/and transient ischemic attack (TIA) previously.
Development of ARM-based Hardware Platform for Implementation of Low Power Management and Fault Tolerance

: Power consumption is the most critical issue in embedded devices. Not only power consumption but there are other embedded design challenges such as low-cost, fast processing speed, low-memory requirements and low energy. The basic requirements of embedded system are high fault tolerance and low power consumption. In this paper, we are implementing a hardware platform for experimenting with the different power management techniques and fault tolerance techniques. At the system level, most of the power management techniques concentrate on the core processor as, it consumes more power. But we can get the optimized solution for power management if we apply these techniques to the whole microcontroller. Total power consumption would be reduced by using these techniques on both core processor and peripherals. In this hardware platform, two ARM microcontrollers and a co-processor AT89C51 are used for its implementation. Dynamic power management and peripheral power down for power management and standby sparing techniques are used for experimenting with this hardware platform.
Int. J. Biosci

Ceasalpinia bonducella, a shrub profusely growing in tropical countries of the world, is known for its medicinal efficacy. However, the male antifertility effects of the plant are not at all documented. Hence, the present study is designed to investigate the male antifertility effects of the seed extract taking Swiss mice as the experimental model. The crude ethanolic seed extract of Caesalpinia bonducella was fed to group of sexually matured Swiss mice at a dose of 500 mg/Kg of body weight at every alternate day in such a way that every mice received 10 doses. The corresponding controls were given distilled water at the same dose and time. The experimental group of mice depicted a significant decrease (p≤0.05) in testis weight compared to controls. Sperm count in experimental groups of mice declined significantly (p≤0.0001) compared to controls. But, there was no increase in abnormal sperm count profile, testicular oxidative stress or body weight indicating that, the seed extract does not have any adverse effect in the testicular physiology. Testicular histology of the treated groups indicated intact seminiferous tubules, but, without spermatids. Flow cytometric analysis of the testis indicated cell arrest at G1 with concomitant decline in DNA synthesis at S phase and sign of tumor development. The finding of the study demonstrates that Caesalpinia bonducella seed extract can be used as an oral male contraceptive after specific isolation and modulation of the drug. * Corresponding Author: Usha R. Acharya  ura_zl@rediffmail.com International Journal of Biosciences | IJB | ISSN: 2220-6655 (Print), 2222-5234 (Online) http://www.innspub. net Vol. 12, No. 4, p. 23-34, 2018
Improved Image Search and Retrieval based on Dominant Colors

- Growth and development of multimedia technology has led to an exponential increase in visual information. Where traditional keyword based information retrieval techniques just do not meet the users demand, CBIR hopes to prevail. CBIR refers to the retrieval of images from a database using information derived from the images themselves rather than solely from accompanying text indices. In this paper we describe an approach of content based retrieval of images from a database, based on dominant colors in the foreground and background of the image. These dominant colors along with histogram and some statistical features form a substantial set to determine the overall similarity between the images. This technique is tested on Simplicity test database and promising results are observed.
Substation Reliability Evaluation with Dependent Outages and Switching Failures Using Bayesian Networks

: This paper presents an application of the Bayesian networks (BN) to substation reliability analysis. First part of the paper describes BN used to construct simple nodes, second shows the methodology used in constructing models of complex systems. A new model to represent dependent outages is introduced in the paper with a discussion how to avoid cycles when creating network models. This approach is then used to construct BN to model Switching Failures. A combination of path analysis with the Bayesian networks to enhance the construction of the latter is also presented
Reversible Data Hiding for Lossless Image and Data Recovery

— presently, there are a unit numerous issues of information hacking. There are a unit type of techniques to stay up info security. This paper presents a reversible knowledge concealment using a replacement chaotic rule for image cryptography mistreatment numerous ways in which. this method proposes the development of protection system throughout that the initial cowl is also losslessly recovered. once image cryptography, info hider will conceal the secrete info into the careful coefficients that unit of measurement reserved before cryptography. we tend to tend to review sample cases where watermarking has been deployed. Although cryptography achieves positive security effects, they produce the messages unreadable and meaningless . the knowledge concealment technique uses the accommodative LSB replacement rule for concealing secrete message bits into the encrypted image. throughout this planned technique, we tend to tend to engraft info by reserving house before cryptography with a standard RDH rule. The planned technique can extract the additional info and recover the initial image content with none error and offers higher performance over other ways.
Recent Advances in NM-OSCILLATOR Design with CMOS Technology : An Overview

Volume 2, Issue 5 September – October 2013 Page 164 Abstract: “In Today’s world oscillator is an integrated part of many electronics system”. Application starts from clock generation in microprocessor to carry synthesis in cellular telephones, requiring vastly different oscillator topologies and performance parameter. There are various methods of design of an oscillator like Differential cross coupled, voltage controlled oscillator, single inverter oscillator, Ring oscillator. But within all that the important part is LC Tank circuit. IN many topologies the LC Tank circuit used to complete the Barkhausen criteria. The LC Tank circuit attenuates the harmonic of the input current and decides the operating frequency. Also along with that the emphasis is on the techno-logical roadmap in CMOS Design.
THERMOELASTIC RAYLEIGH WAVE IN A ROTATING AND TRANSVERSELY ISOTROPIC SOLID HALF-SPACE WITH MAGNETIC FIELD AND INITIAL STRESSES

The governing equations of an initially stressed, rotating and transversely isotropic thermoelastic solid permeated with magnetic field are solved for surface wave solutions. The appropriate particular solutions in the half-space satisfy the required boundary conditions at a thermally insulated stress free surface. A velocity equation is obtained for wave speed of thermo-elastic Rayleigh wave. A special case is derived for small values of reduced frequency. Some particular cases are also derived in absence of rotation, thermal, initial stress and magnetic parameters.
Hepatitis C – Human Immunodefi ciency Virus Coinfection and the Risk of Cerebro-Cardiovascular Diseases: Is There Enough Evidence to Draw Conclusion and Establish Guideline?

During the last decade, the link between Human Immunodefi ciency Virus (HIV) infection and cardiovascular disease has received much attention. Recent meta-anaylsis by Islam et al. [1], concluded that HIV infection increases the risk of cardiovascular diseases (CVD). They found the relative risk (RR) of CVD among people living with HIV (PLHIV) was 1.61 (95% CI 1.43-1.81). Despite the introduction of antiretroviral therapy (ART) which increase survival of PLHIV, ART itself increase the risk of CVD (RR 2,00 95% CI 1,70-2,37) [1]. Management of HIV has shifted from treating the disease to managing complication and chronic condition such as atherosclerosis [2].
Efficient Attendance Management: A Face Recognition Approach

— Taking student attendance in a classroom has always been a tedious task faultfinders. It is completely a waste of precarious study time. There are many attendance taking devices in market namely bio-metrics scanner which take thumb impression of the student and marks attendance accordingly. But various skin problems affect the bio-metric scanner performance student may also have to make a long line queue in order to make mark there attendance . the method which we are proposing mark there attendance of hole class and generate result accordingly . our paper explains the method which is be followed in order to organized multiple faces at once
A Novel Approach for Brain Tumor Detection Using Support Vector Machine, K-Means and PCA Algorithm

 Abstract — The conventional method of detection and classification of brain tumor is by human inspection with the use of medical resonant brain images. But it is impractical when large amounts of data is to be diagnosed and to be reproducible. And also the operator assisted classification leads to false predictions and may also lead to false diagnose. Medical Resonance images contain a noise caused by operator performance which can lead to serious inaccuracies classification. The use Support Vector Machine, Kmean and PCA shown great potential in this field. Principal Component Analysis gives fast and accurate tool for Feature Extraction of the tumors. Kmean is used for Image Segmentation. Support Vector Mahine with Training and Testing of Brain Tumor Images techniques is implemented for automated brain tumor classification.
Enhanced Component Retrieval Scheme Using Suffix Tree in Object Oriented Paradigm

–In today’s world software are used everywhere i.e. every electronic devices use software. So there is a large demand of software but in the same proportion the development is not growing. It is similar to the supply demand problem of management. Hence there is need to resolve this issue. There is a need to find some alternate methods that can help in improvement of this development. Some methods may be like software reuse, develop common software that can be used by various users simultaneously. In software reuse we use the design, code, architecture etc. Software reuse has become of much interest in the software community due to its potential benefits, cost benefit, time saving, etc. which include increased product quality and decreased product development cost and estimated schedule. To select a component for reuse is becoming difficult, because before reusing there is need to retrieve the component from the repository. Repository having a large in size and there are thousands no. of component. Before retrieving a component there is need to search the relevant component as there are many components with approximate same name, same functionality etc. which make the searching of component very time consuming. Hence there is need of a new technique which makes the selection of component efficient and fast. For this purpose, we proposed a scheme for the searching of component using suffix tree, suffix tree is a way to maintain the component repository in well maintained way and result an efficient and fast searching, which will be more efficient than earlier schemes.
Learning Non-linear Dynamical Systems From Raw Images

— We introduce a method for model learning and control of non-linear dynamical systems from raw pixel images. It consists of a deep generative model, belonging to the family of variational autoencoders, that learns to generate image trajectories from a latent space in which the dynamics is constrained to be locally linear. Our model is derived directly from an optimal control formulation in latent space, supports long-term prediction of image sequences and exhibits strong performance on a variety of complex control problems.For capturing the information of non-linear object’s behavior, we need to use high-dimensional data. Processing the high-dimensional data is expensive and not feasible. So, in this model, first Auto-encoder is used for dimensionality reduction, and after prediction method (transition mapping) is used, and the imagereconstructed. We demonstrate that our model enables learning good predictive models of dynamical systems from pixel information only.
Production Objectives, Reproductive Performance and Selection Criteria of Indigenous Sheep Types in Meket and Gidan Districts, North Wollo Zone, Ethiopia

This study was aimed to generate comprehensive information on production objectives, reproductive performance and selection criteria of indigenous sheep types under farmer’s management condition in Meket and Gidan districts, North Wollo Zone. Ethiopia. Multistage purposive sampling was employed based on the potential of sheep production. Accordingly 6 rural kebeles (3 from each district) were considered purposively. About 240 households (120 from each district) were used for household survey. Statistical package for social sciences (SPSS 16.0 2007) was used to analyze data. The main objectives of keeping sheep were for income generation followed by meat consumption across the districts compared. Sexual maturity age of Meket ram was 9.04 months whereas Gidan ram was 8.51 months. The average age at first lambing, lambing interval and lifetime lamb crop of Meket Sheep were 16.04 months, 9.14 months and 8.92 lambs, respectively. The corresponding values for Gidan Sheep were 15.57 months, 8.66 months and 9.77 lambs, respectively. Color, growth character and appearance were the most important traits considered by farmers to select breeding rams in both study districts. Ages at first sexual maturity, color, lamb growth and pedigree were the most important trait in choosing of breeding ewes in Meket district. Whereas Ages at first sexual maturity, color, tail type/length and pedigree were the most important trait in choosing of breeding ewes in Gidan district. Therefore, this finding was put baseline for understanding about production objective, Reproductive performance and selection criteria of Sheep and serve as a base for designing a sustainable breeding programme and selection strategies in the study area.
The Relationship of Animal Leanness to Meat Tenderness

In addressing the topic of “The Relationship of Animal Leanness to Meat Tenderness,” I think it is extremely important to establish how much variability in tenderness exists and the extent to which the lack of tenderness is a problem. In addition, it is important to establish a definition or description of “animal leanness. ” Carcasses may be lean because animals were fed beta-agonists, injected with somatotropin, not castrated, selected for muscular hypertrophy, selected for low subcutaneous fat, slaughtered relatively early in their growth curve and(or) fed a relatively low-energy diet, or any combination(s) of these variables. Or meat may be lean because it has low marbling or has been closely trimmed prior to chilling or cooking. Primarily, I will focus my discussion on carcasses that have low marbling and(or) low subcutaneous fat prior to chilling, either because fat was removed before chilling or animals were slaughtered with little subcutaneous fat.
An Effective Congestion Control Approach through Route Delay Estimation Using Packet Loss in Wireless Sensor Network

In wireless sensor networks, congestion control and efficient routing are in much needed due to the increase in the usage of sensor devices in the diverse applications. Even in the randomness in the mobility of the devices creates dynamic topology which causes delay or packet loss in routing. The occurrence of congestion mostly due to the high volume of traffic inflow and low outflow of the data rate. This change in transmission rate results in routing delays and reduced throughput. The rate control is the major concern in applications performing regular streaming, particularly in wireless networks. This paper aims to propose an efficient Congestion Control approach through Route Delay Estimation (CC-RDE) using packet loss to control data rate for effective to minimize the packet loss during congestion. The CC-RDE mechanism will present an illustration for Delay Recognition (DR) and a method for Routing Delay Estimation (RDE) to improve the throughput and reduce the routing delay. The experiment evaluation is performed over a reactive routing protocol to improvise the throughput and reduce delay and energy consumption in comparison with other protocols.
Past Investigations on Mechanical and Durability Properties of Hybrid Fiber Reinforced Concrete

In recent years fibers has been widely utilized for strengthening of concrete structures due to its high tensile and flexural properties. In this paper, an introduction is given on the properties of different fibers used for structural applications. Moreover, a brief review of the past investigations on different fibers and the use of metallic, natural and synthetic fibers on improvement in hardened and durability properties of concrete are also highlighted. This paper shall focus on literature review on strength and durability properties of hybrid fibers Steel/polypropylene/glass and carbon fiber reinforced concrete.
Immunizing Job Recommender System

Artificial Immune Systemis a novel computational intelligence technique inspired by immunology has appeared in the recent few years. It takes inspiration from the immune system in order to develop new computational mechanisms to solve problems in a broad range of domain areas. This article presents a problem oriented approach to design an immunizing solution for job recommendation problem. We will describe the immune system metaphors that are relevant to job recommender system. Then, discuss the design issues that should be taken into account such as, the features of the problem to be modeled, the data representation, the affinity measures, and the immune process that should be tailored for the problem. Finally, the corresponding computational modelis presented.