Miracle-dz/UniFAR-FTUs huggingface dataset:
Image Registration for Area Matching by Using Transform Based Methods

— Image registration is a process of finding a transformation that maps one image of object onto another image of same or similar object by optimizing certain criterion. With the increase in the number of images collected every day registration of multi-sensor/multi-spectral images has become an important issue. This paper implements image registration technique based on different transforms. These image registration techniques can be used to locate the object in one image onto another image. It tries to find out the object or an area of unregistered image by comparing it with the reference image and locate that object or area of interest in reference image. The similarity measure is used to locate the similar object or area into the reference image. The proposed technique uses HAAR and WALSH transform for the transformation. This paper uses HAAR and WALSH transformation for comparison between results obtained by these two transforms and the Root Mean Square Error (RMSE) is used as similarity measures. Experimental result shows that, the proposed technique work successfully.
Ernährungsberatung - Unterstützung der Krankheitsbewältigung chronisch niereninsuffizienter Menschen

Der Anteil chronisch niereninsuffizienter Menschen, die im Verlauf der Erkrankung dialysepflichtig werden, nimmt zu. Durch eine individuell angepasste Ernährung können die Betroffenen den Krankheitsverlauf entscheidend beeinflussen. Der Kontext zwischen Vermeidung einer Mangelernährung und dem Erhalt einer höchstmöglichen Lebensqualität wird in dieser Arbeit dargestellt. Die Ursachen für eine Malnutrition bei dieser Patientengruppe werden untersucht. Unterschiedliche Untersuchungsmethoden zur Diagnosestellung einer Mangelernährung werden aufgezeigt sowie empfohlene Therapiemöglichkeiten diskutiert. Das Ziel dieser Arbeit ist es, aufzuzeigen, dass Ernährungsberatung die Malnutrition verbessern oder gar verhindern kann. Es erfolgt ein Einblick in die Theorie der Ernährungsberatung bei chronischer Niereninsuffizienz. Durch gezielte Lebensmittelauswahl erhalten die Patienten die Möglichkeit, ihren Ernährungszustand zu beeinflussen. Eiweiß- und energiereiche Lebensmittel stellen dabei eine wichtige Grundlage dar. Ebenso trägt ein bewusster Einkauf von Nahrungsmitteln, ohne die Verwendung von Zusatzstoffen und die richtige Medikamenteneinnahme, zur Verbesserung der entscheidenden Blutwerte bei. Neben einer geeigneten Auswahl der Lebensmittel, spielen die Anzahl der Beratungseinheiten, der Zeitpunkt der Beratung und der Berater selbst eine wichtige Rolle. Gemeinsam mit dem Patienten kann so, unter Berücksichtigung seiner individuellen Wünsche und Bedürfnisse, ein erfolgreicher Therapieplan erarbeitet werden.
Paper—ECG-based Detection and Prediction Models of Sudden Cardiac Death: Current Performances... ECG-based Detection and Prediction Models of Sudden Cardiac Death: Current Performances and New Perspectives on Signal Processing Techniques

Heart disease remains the main leading cause of death globally and around 50% of the patients died due to sudden cardiac death (SCD). Early detection and prediction of SCD have become an important topic of research and it is crucial for cardiac patient’s survival. Electrocardiography (ECG) has always been the first screening method for patient with cardiac complaints and it is proven as an important predictor of SCD. ECG parameters such as RR interval, QT duration, QRS complex curve, J-point elevation and T-wave alternan are found effective in differentiating normal and SCD subjects. The objectives of this paper are to give an overview of SCD and to analyze multiple important ECG-based SCD detection and prediction models in terms of processing techniques and performance wise. Detail discussions are made in four major stages of the models developed including ECG data, signal pre-processing and processing techniques as well as classification methods. Heart rate variability (HRV) is found as an important SCD predictor as it is widely used in detecting or predicting SCD. Studies showed the possibility of SCD to be detected as early as one hour prior to the event using linear and non-linear features of HRV. Currently, up to 3 hours of analysis has been carried out. However, the best prediction models are only able to detect SCD at 6 minutes before the event with acceptable accuracy of 92.77%. A few arguments and recommendation in terms of data preparation, processing and classification techniques, as well as utilizing photoplethysmography with ECG are pointed out in this paper so that future analysis can be done with better accuracy of SCD detection accuracy. Keywords—Electrocardiography, sudden cardiac death, sudden cardiac arrest, photoplethysmography
Proﬁle Ranking Using User Influence and Content Relevance with Classification Using Sentiment Analysis

— It is a fundamental step towards the design of effective information diffusion mechanisms to understanding information diffusion processes that take place on the Web, specially in social media. Inﬂuence and relevance are two key concepts in information diffusion. Ability to popularize content in an online community is the inﬂuence. Inﬂuentials introduce relevant content, in the sense that such content satisﬁes the information needs. We propose Proﬁle-Rank is a new information diffusion model supported random walks over a user content graph. Proﬁle-Rank could be a Page-Rank inspired model that described the principle that relevant content is created and propagated by prestigious users and prestigious users create relevant content. We also propose a sentiment analysis. In this we get weight for proﬁle ranking with its approach (Like positive approach or negative approach).
Study of Web Based Sentimental Analysis Classification

: In this paper we bring into spotlight the general objective of this venture is to play out a slant examination on specific TV program. The significant objective behind such conclusion mining to find how gatherings of people see the items . The accompanying paper covers different calculation techniques to perform supposition mining that plan to widely pick up notoriety in fields of showcasing. Innocent Bayes, SVM, ME, Decision Tree and Random Forests are among the accompanying calculations and this holds critical angle for catching general feeling about item inclinations, promoting efforts, political developments, get-togethers and organization systems. Wistful examination should be possible on dialects aside from English including different European dialects and Indian Languages like Tamil, Hindi and Malayalam and this paper performs such estimation extraction.
An Energy Efficient LED Lighting System for Domestic Applications

This project is implemented on ARM, the sensor which detects the day light is used to switch outdoor lighting and the PIR sensor which detects the entering person into room are used here to regulate the indoor lighting intensity, which is done through PWM shifting technique. Saving the electricity is not difficult. Just by turn off the light when leaving the room, turn off computer when finish the work, unplug electronic accessories when finish recharging and etc. Various light regulate systems are introduced in prevailing markets, because the installed lighting systems are outdated and energy-inefficient. However, due to architectural constraints, the existing light regulate systems cannot be successfully applied to home and office buildings. Therefore, this paper proposes an intelligent domiciliary LED lighting system considering energy efficiency and user satisfaction. The proposed system employs multi sensors and wireless communication technology in order to regulate an LED light according to the user’s state and the surroundings. The proposed LED lighting system can individually adapt the minimum light intensity value to enhance both energy efficiency and user satisfaction. KeywordsDomiciliary LED lighting. DC motor, Gas sensor, GSM, ARM, fire sensor, IR sensor, PIR sensor.
Fingerprint Recognition by Classification Using Neural Network and Matching Using Minutia (Fingerprint Recognition by NNMM Method)

-B iometrics is one of the biggest tendencies in human identification. The fingerprint is the most widely used biometric. However considering the automatic fingerprint recognition a completely solved problem is a common mistake. The global level structures consist of many ridges to form some specific shape such as arch, loop, and whorl. Local level structures are called minutiae, which further classified as either endpoints or bifurcations. Either of which can be used to identify the fingerprint, our approach uses both methods. We have used soft computing for classification of fingerprints.
ACCURATE AND EFFICIENT MINING FOR CONFIDENCE COLOSSAL PATTERNS FROM HIGH DIMENSIONAL DATASETS: CDFP-MINE

CDFP-Mine, a novel approach for finding huge Colossal Pattern Sequences (CPS) from High Dimensional Biological Datasets is talked about in this paper. CDFP-Mine has successfully found Determinate Frequent Patterns (DFP) which is additionally advanced into a DFPT + tree to produce CPS with vector intersection operator. CDFP-Mine influences utilization of a novel incorporated data structure called Hyperstructure 'H-struct', as a blend of a data matrix and one-dimensional arrays exhibit as a pair to powerfully find DFP from Biological High Dimensional Datasets. DFPT+ tree is developed as Bitwise Top-Down Column identification tree. H-struct has an assorted element to encourage is, it has amazingly restricted and precisely predictable primary memory and runs rapidly in memory based requirements. The algorithm is planned such that it takes just a single scan at the database to find CPS. The exact investigation on CDFP-Mine demonstrates that the proposed approach achieves a superior mining effectiveness on different high dimensional datasets and beats Colossal Pattern Miner(CPM) and BVBUC in various settings. The execution of CDFP-Mine on the high dimensional dataset is assessed with Accuracy and Frequency measure s.
AWARNESS TOWARDS RADIATION PROTECTION MEASURES AMONG DENTAL PRACTITIONERS IN COORG DISTRICT: A QUESTIONNAIRE STUDY

Aims and objectives:To assess the attitude and awareness towards radiation protection measures among private dental practitioners in Coorg district. Materials and methods:40 private practitioners (general and specialist) in Coorg district were included in the study. Information was collected through a questionnaire composed of 24 structured questions regarding knowledge, attitude and perception towards radiation protection. Results:The response rate for survey was 77.5%. All private practitioners were using conventional x-ray machines. 54% of the practitioners were unaware of exposure settings (kVp, mA) of the intraoral radiation machine, where as 38.7% mentioned the kVp setting as 65-70kVp. Film holders were used in a majority of practices (70%). 54.8% practitioners were aware of using collimators. 61.2% were aware of NCRP and AERB recommendations. But, interestingly radiation protective measures like using lead barriers, lead aprons and position distance rule were not followed by most of the private practitioners. None of them were using radiation monitoring device/dosemeter. 61.29% of practitioners never calibrated their intraoral x-ray machines. Conclusion:The awareness of private practitioners of Coorg district towards radiation hazards and protective measures was poor. A majority of private dental practitioners of Coorg did not practice radiation protection procedures. Emphasis on radiation safety in undergraduate curriculum, mandatory continuing professional education and development of radiographic selection criteria is recommended.
Information Security Using Multicloud

Cloud computing usage has increased rapidly in many companies. Cloud computing offers many benefits in terms of low cost and accessibility of data. Ensuring the security of cloud computing plays a major role in the cloud computing, as customers often store important information with cloud storage providers but these providers may be unsafe. Customers are wondering about attacks on the integrity and the availability of their data in the cloud from malicious insiders and outsiders, and from any collateral damage of cloud services. These issues are extremely significant but there is still much room for security research in cloud computing. Dealing with “single cloud” providers is predicted to become less popular with customers due to risks of service availability failure and the possibility of malicious insiders in the single cloud. A movement towards “multi-clouds”, or in other words, “interclouds” or “cloudof-clouds” has increased recently. The purpose of this paper is to survey recent research related to single and multi-clouds security and to address possible solutions. It is found that the research into the use of multi-cloud providers to maintain security has received less attention from the research community than has the use of single clouds. This work aspires to promote the use of multi-clouds due to its ability to reduce security risks that affect the cloud computing consumer. Index Terms —Cloud computing, single cloud, multi-clouds, data confidentiality, data integrity, service availability.
Power System Reliability Analysis Incorporating Distributed Generator

At the distribution stage, power system is susceptible to collapse and interruption due to weather associated issues and human mistakes. Reinforcing the distribution system with distributed generator (DG) as a supplementary power source guarantees the reliability of electric power supply to customers. This paper addressed the influence and impact of the DG installed as a supplementary or backup generator for the reliability improvement of a distribution circuit which was modeled after a residential distribution network of Government Residential Area (GRA) feeder line, Osogbo, Nigeria. The reliability improvement was evaluated by reliability indices that include SAIDI (System Average Interruption Duration Index), CAIDI (Customer Average Interruption Duration Index), ENS (Energy Not Supplied) and AENS (Average Energy Not Supplied) using MATLAB software package. Hence, the optimum locations for installation of different sizes of DG were determined and the value of placing DGs at various distances from the substation was investigated. When disconnects were applied on the main feeder line, the reliability contribution of DG as a backup generator was maximized and the overall system reliability increased. The reverse of which was the case when disconnects were not applied. The results of the simulations showed significant improvement in the indices due to the incorporation of the disconnects; for instance, SAIDI improved from 10.7765 hours/customer year to 6.724584 hours/customer year, CAIDI from 3.968557 hours/customer interruption to 2.476378 hours/customer interruption and ENS from 48474.64 kWh/year to 30240.64 kWh/year. The scenarios presented enhanced the reliability and resilience of the power grid as observed with the installation of different DG sizes at various distances from the sub-station.
HR Strategy is integral in Business Expansion

The presented paper is about the strategic development of Samsung Company in Indian region. The Samsung is dealing with various mobiles and electronics development and selling them in India. Currently Samsung holds a high percentage of market share in Indian Mobile segment. But stiff competition from other players makes it vulnerable to maintain that ratio in the market. So the purpose of this study is to look for various business expansion strategies for Samsung in India where apart from urban market, rural market also holds high potential and plays a significant role in generating good revenue for the firms. The research objective is to focus on the various HR Strategies that may be required by Samsung to expand in India and penetrate in all forms of market. Based on their Business Strategy, the Human Resource Strategies and HR Practices are discussed. This study shows the importance of proper HR Strategy which is useful for any business organization in business growth and expansion.
The effects of Kombucha Tea on the immune system, the blood factors, the function and morphology of small intestine of Japanese quail

This study was conducted to assess: a) the effects of different levels of the use of Kombucha tea on the function of the immune system, b) changes in blood factors, c) and feed intake level in small intestine of a population of Japanese quails. Different levels of Kombucha tea were used in the drinking water of quail chicks during a 42-day period: 10%, 15%, 20%, and plain water. All chicks received the same nutrition rations during the breeding period. A total of 320 one-day old Japanese quail chicks were grown within 4 treatments, 4 replications in each treatment, and 20 chicks were grown in each replication. Sheep red blood cells (SRBC) were injected into the chicks within two steps in order to monitor the productivity of their immune system: the amount of antibody production of serum and blood factors were measured. The production efficiency was measured based on several factors: the weight of the chicks, food intake, and the food conversion factor through the last two weeks. Two chicks were selected at random to take intestine tissue samples at the end of each treatment. The samples were from duodenum and jejunum. The morphological examination was based on the following factors: villous height and width, diameter of sub-mucosa layer and the muscular layer. In conclusion: the use of Kombucha at the level of 20% caused an increase in the length of villous in duodenum and jejunum, while it did not have any effects on daily weight gain, feed intake and food conversion factor of the examined groups. The 10% and 15% levels of Kombucha caused an increase in the number of white blood cells, while they did not leave a significant impact on the antibody production levels of different groups.
Editorial Article

Antenatal care is one of the four pillars initiatives of the Safe Motherhood. The aim of this study was to investigate coverage of antenatal care among Baiga women's in M.P. A Crosssectional communitybased study was carried out in Dindori district. The structured questionnaires were used to gather data from women who had been pregnant within the last five year, or currently pregnant. A sample of 380 women investigated for antenatal care coverage 273, (71.8%) women had taken at least one antenatal checkup by different health professionals. Out of them 23% women had taken antenatal care in the first, 43% in second and 34% in third trimester during pregnancy. Care components were measured during and checkup reported by women as weight (63.9%) height (32.2%), blood pressure (41.8%), hemoglobin (23%) and abdomen examination (51.9%). Antenatal care showed a low coverage among Baiga women's due to low awareness, distance to medical facility, etc. Special IEC strategy needed there for
ACHIEVING QUALITY IMPROVANCE BY COMPRESSING DYNAMIC RANGE OF IMAGE AND TONE MAPPING WITH IMAGE FUSION

— Building a mathematical model of uneven illumination and contrast is difficult, even impossible. This paper presents a novel image balancing method for different kinds of remote sensing and Smartphone captured images In this proposed algorithm we have used technique of image fusion with two other methods for tone mapping and dynamic range compression. In addition, the proposed method not only restores color information, but also retains image details. Image fusion is a process of blending the complementary as well as the common features of a set of images, to generate a resultant image with superior information content in terms of subjective as well as objective analysis point of view. The objective of this research work is to develop some novel image fusion algorithms and their applications in various fields such as crack detection, multi spectra sensor image fusion, medical image fusion and edge detection of multi-focus images etc. We address the problem of tone mapping high dynamic range (HDR) images to standard displays (CRT, LCD) and to HDR displays. With standard displays, the dynamic range of the captured HDR scene must be compressed significantly, which can induce a loss of contrast resulting in a loss of detail visibility. We have used MSR and Gamma correction techniques to improve the image quality, and result showed that our proposed algorithm can efficiently improve the information contained in image. The output image can be used in further processing like segmentation, classification etc.
WHAT IS THE MOST APPROPRIATE METHOD FOR COMMON FEMORAL ARTERY CANNULATION IN PATIENTS AGED ABOVE 75 YEARS WHICH IS THE MOST APPROPRIATE METHOD

Background: Angiography is the gold standard in the diagnosis and treatment of coronary artery diseases, and the femoral approach is usually preferred. Here we aimed to determine which intervention technique minimizes complications of the femoral approach in patients aged >75 years. Method: 309 patients aged >75 years were included. They were divided into group 1 (ultrasound-guided intervention group) and group 2 (palpation-guided intervention group) and were compared in terms of clinical and demographic characteristics, laboratory findings, surgical complications, average intervention time, success rate at initial intervention, and accidental venous intervention rate. Results: Average intervention time (26 (21-25) vs 39 (25-61) min; p < 0.001), average number of intervention attempts (1.10±0.35vs.1.58±1.05; p = 0.012), average accidental venous intervention rate [3 (1.9%) vs. 16 (10%); p<0.001], and average visual analog scale score for pain (2 (1-5) vs. 7 (3-9); p < 0.001) were significantly lower in group 1. Success rate at initial intervention was higher in group 1 [140 (89%) vs. 105 (69%); p<0.001]. Frequency of hematoma, early hematoma, and arteriovenous fistula were lower in group 1. Conclusions: Ultrasound-guided femoral artery intervention requires less time and provides higher cannulation success rate at the initial attempt, with lesser pain and lower complication rates.
Effect of solvent and extraction time on the antioxidant properties of Citrus

1Environmental Microbiology Laboratory, Centre for Food and Waterborne Diseases, International Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR, B). 2Grain Quality and Nutrition Division, Bangladesh Rice Research Institute (BRRI), Joydebpur,Gazipur, Bangladesh. 3Department of Biochemistry & Molecular Biology, University of Dhaka, Dhaka, Bangladesh. 4Biochemistry and Biotechnology, Department of Life Sciences, North South University, Dhaka, Bangladesh.
Towards Spam Mail Detection using Robust Feature Evaluated with Feature Selection Techniques

—Filtering of spam emails is a significant operation in email system. The efficiency of this process is determined by many factors such as number of features, representation of samples, classifier etc. This study covers all these factors and aims to find the optimal settings for email spam filtering. Twelve feature selection methods extensively used in text categorization are implemented to synthesize prominent attributes from different categories (i.e. header, subject and body of the mails). Optimal classification performances are obtained for Weighted Mutual Information and Log-TFIDF-Cosine(LTC) feature selection methods for header and body features of the mail with Random Forest and Support Vector Machine classifiers respectively. An overall F1 -measure of 0.978 with 0.44s prediction time is achieved when 20% of the original feature length is considered.