Miracle-dz/UniFAR-FTUs huggingface dataset:
Data Analysis using Mapper and Reducer with Optimal Configuration in Hadoop

— Data analysis is an important functionality in cloud computing which allows a huge amount of data to be processed over very large clusters. Hadoop is a software framework for large data analysis. It provide a Hadoop distributed file system for the analysis and transformation of very large data sets is performed using the MapReduce paradigm. MapReduce is known as a popular way to hold data in the cloud environment due to its excellent scalability and good fault tolerance. Map Reduce is a programming model widely used for processing large data sets. Hadoop Distributed File System is designed to stream those data sets. The Hadoop MapReduce system was often unfair in its allocation and a dramatic improvement is achieved through the Elastic Mapper Reducer System. The proposed Mapper Reducer function allows us to analyze the data set and achieve better performance in executing the job by using optimal configuration of mappers and reducers based on the size of the data sets and also helps the users to view the status of the job and to find the error localization of scheduled jobs. This will efficiently utilize the performance properties of optimized scheduled jobs. So, the efficiency of the system will result in substantially lowered system cost, energy usage, management complexity and increases the performance of the system.
Performance Evaluation of Mobility Effects on Various Transmission Modes in the LTE Network

— Long Term Evolution (LTE) system uses Internet Protocol (IP) based network architecture and advanced multi-antenna techniques to provide higher system throughput and high user mobility, intern to support low delay multimedia services such as voice, real time video connections and effective internet connectivity without any disruption. Hence in this paper, an attempt has been made to analyze the impact of mobility on the Quality of Service (QoS) parameters such as average throughput, average jitter and average delay of a LTE network for various transmission modes such as Serial-Input Serial-Output (SISO), Transmit Diversity, Receive Diversity and Open Loop Spatial Multiplexing (OLSM).
DESIGN, DEVELOPMENT AND CHARACTERIZATION OF LOVASTATIN TRANSFERSOMAL LOADED GELS FOR TRANSDERMAL DRUG DELIVERY

The objective of the present study was to develop the controlled release transdermal drug delivery systems of Lovastatin using transfersomes incorporated in gels, which will control the release of drug, increasing the bioavailability of the drug and thus decreasing the dosing frequency of the drug. It was investigated by encapsulating the drug in various transfersomal formulations composed of various ratios of Soya Lecithin: Span 80 or Tween 80 or sodium deoxycholate prepared by rotary evaporation sonication method. Lipid:surfactant ratio of 90:10 is more effective when compared to other ratios. Experimental results of the present study showed that deformable lipid vesicles improve the transdermal delivery, prolong the release, and improve the site specificity of the lipophilic model drug, Lovastatin. The drug diffusion studies showed that a Transfersome vesicle follows zero order kinetics and mechanism of release follows peppas model.
Investigation on Keynesian Monetary Fluctuations

We examined money-output regression (St. Louis equation) considering econometric problem, macroeconomic theory, and policy implications. Our results reveal that increases in money affects real variables like output over a few quarters. These results ascertain Keynesian macroeconomic view that price-wage rigidity cause output to respond to nominal shocks like shifts in money demand. Out derivation adds contribution to the original empirical results with regard to; endogeneity of money, lags from monetary shocks on output, and serial correlation in output disturbances (persistence), and fundamental equilibrium relationship (co-integration), etc.
A TAPERED FED MIMO ANTENNA FOR IEEE INSAT BAND USING L-SLITS

This paper addresses the prime challenges of UWB antennas, the proposed antenna is capable of extending its operation in to IEEE extended C-band. Using the L-silts in the antenna structure and ground plane the antenna is made to operate in MIMO mode and by simulation different s-parameter measurements are plotted. Gradual tapering of the feed is adopted taking the mathematical conclusions and much improvement is observed in the diversity of the proposed antenna. A tapered-fed compact dual band-notched MIMO/diversity slot antenna for UWB applications is proposed. Many MIMO Antennas have relatively larger size and poor isolation in comparison to the proposed design. The designed antenna has a compact size with low mutual coupling and hence provides a viable solution for many portable wireless applications .
Physiological Tremor Acquisition and Compensation Techniques

Tremor is an involuntary, approximately rhythmic, oscillatory movement produced when muscles repeatedly contract or relax. It has relatively fixed frequency and amplitude. To overcome the occurrence of tremor which is the root cause for human imprecision during surgical procedure particularly in case of microsurgery, a system is required to measure the hand tremor at the surgeon handle and to reduce the same at the far end at tool tip. In this paper, we review the previous work on classification of tremor, tremor characterisation, tremor suppression schemes and also the recent developments in the work area. This paper looks at possible methods of acquiring the tremor signals and all major processing techniques utilized for the signal analysis carried out in the recent development.
Chronotherapeutical approach: Circadian rhythm in human and its role in occurrence and severity of diseases

Mammalians circadian pacemaker resides in the paired suprachiasmatic nuclei (SCN) and influences a multitude of biological processes, including the sleep–wake rhythm. Clock genes are the genes that control the circadian rhythms in physiology and behaviour. Due to that that pathophysiology several diseases like allergic rhinitis, arthritis, asthma, myocardial infarction; congestive heart failure, stroke, and peptic ulcer disease etc. give rise to day-night patterns in onset and symptoms exacerbation. The scientific study of biological rhythms and their underlying mechanisms is known as chronobiology and treatment using this concept is known as chronotherapy. The effectiveness and toxicity of many drugs vary depending on dosing time. Such chronophamacological phenomena are influenced by not only the pharmacodynamics but also pharmacokinetics of medication. Chronopharmacokinetics deals with the study of the temporal changes in absorption, distribution, metabolism and elimination of several drugs and thus takes into account the influence of time of administration on these. The role of circadian rhythms in the mechanisms of disease and the pharmacokinetics and pharmacodynamics of medications constitute a challenge to drug-discovery and drug-delivery scientists. This review represents the basic concept of circadian rhythm, mechanism and its synchronization with severity and occurrence of various diseases from viewpoint of chronopharmacology and chronotherapy.
3D Mask fake face detection using near set theory

— Spoofing is the act of masquerading as a suitable user by falsifying data to gain an unlawful access. Susceptibility of recognition systems to spoofing attacks (presentation attacks) is still an open security issue in biometrics domain and among all biometric behavior, features is uncovered to the most severe hazard, ever since it is mainly effortless to admittance and replicate. In this paper, lots of dissimilar types of features spoofing attacks have been examined and various algorithms have been proposed to differentiate them. Largely focusing on 2D attacks counterfeit by displaying printed photos or replaying recorded videos on mobile diplomacy, a momentous part of these studies land their arguments on the flatness of the spoofing material in front of the feeler. On the other hand, through the advancement in 3D renovation and printing technology, this assumption can no longer be maintained. Here we aspire to examine the spoofing potential of subject-specific 3D facial masks for different recognition systems and address the detection problem of this more composite assail type. In order to measure the spoofing presentation of 3D masks against 2D,2.5D, and 3D features detection and to analyze various texture based countermeasures using equally 2D and 2.5D data, a comparable study with complete experiments is performed on two data sets: the Morpho database which is not publicly available and the newly distributed 3D mask attack database. The result existing in the effort undoubtedly propose that the analysis of the general image quality of real face samples reveals highly valuable information that may be very efficiently used to discriminate them from fake images.
Towards an information architecture oriented framework for emergency response system

Emergency, situations characterized as high consequence, low probability, and short decision time, create a unique decision-making environment that must be conscientiously supported. Historically, one of the techniques business has used to improve complex processes is a maturity model. Organizations should create the capabilities to react to information sharing needs in advance, not react an ad hoc manner to the information crisis. Based on the IT-Capability Maturity Framework (IT-CMF), we detailed some aspects of this model from an information architectural perspective to examine a country wide emergency service. Although information system and information technology (ISIT) have been emphasized in emergency management system, architectural aspects-a structure emphasized semantic description however have been of limited considerations. We propose a framework to analyzing architectural aspects for information sharing that can help improve emergency response system. The framework is discussed and exemplified with a case study. We conclude that the proposed framework provides a deeper understanding of information in use from technical and managerial aspects during emergency response. Guideline for further improvement will be the focus in our future work.
Iris Recognition by Complex Wavelet Transform

-Personal identification has become the need of modern day life. The identification must be fast, automatic and foolproof. Biometrics has emerged as a strong alternative to identify a person compared to the traditional ways. Also biometric identification can be made fast, automatic and is already foolproof. Among other biometrics, Iris recognition has emerged as a strong way of identifying any person. The probability that any two iris of different person match is one in seven billion. Also the iris of any person remains unaltered throughout the lifetime and it is less susceptible to damage since it an internal organ. In this paper, first the iris is segmented using linear approach. The iris recognition system is composed of many steps. Namely, capturing the iris patterns; determining the location of the iris boundaries; converting the iris boundary to the polar coordinate system; extracting the iris code based on complex wavelet transforms; and classification of the iris code. There are many methods proposed for iris recognition by many researchers. The proposed system based on complex wavelet transform for iris recognition system with high performance and acceptance, rejection capabilities is described.
Managerial Entrepreneurial Competencies Required By Technical College Students: Pilot

1163 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: D6912118419/2019©BEIESP DOI:10.35940/ijrte.D6912. 118419 Abstract: Technical college curriculum is lacking entrepreneurial competencies required by the technical college students to become entrepreneurs upon graduation. The purpose of the study was to ascertain entrepreneurial competencies need by technical college students in Nigeria. The study was guided by a research question. A descriptive survey research was used in the study. The study population consists of 15 technical teachers. The tool used for the study was a structured questionnaire validated by three experts. The Cronbach Alpha reliability method was adopted to ascertain the internal consistency of the instrument that produced a reliability coefficient of 0.70. The collected data were analysed by means of mean and standard deviation to answer the research question. The values found for the Cronbach’s Alpha allow the research to conclude that the instrument applied is reliable regarding technical teachers perception on the entrepreneurial competencies required for integration into technical college program. The study revealed that technical college students required entrepreneurial managerial competencies for self-employment. Therefore, the instrument can be used in context of entrepreneurial competencies integration and reveal the specific elements of entrepreneurial competencies. The future aim of the study is to compare and contrast the instrument with another entrepreneurial competencies component.
Automated Segmentation using Histopathology Images as a Diagnostic Confirmatory Tool in Detection of Bone Cancer

This paper presents a method to extract cancer affected area from a histopatholical image of bone cancer. Existing approaches are manual, time-consuming and subjective. In the proposed approach, morphology technique is used to find the area affected in the bone cell and extract the same using adaptive threshold technique. To get more accurate segmentation, watershed algorithm is used which will separate the attached tissue cells. In this method we used nucleus size, area, orientation to define malignancy level. Experiment results show that, using the proposed method, the meaningful features in the background with heterogeneous intensities are appropriately segmented. Bone tissue samples contain several cell type and these cells including blood cells, normal cells, and cancerous cells. Nuclear size and shape are good visual descriptors which is used to differentiate normal and cancer cell. This method successfully demonstrated an automated image segmentation technique to overcome noise due to staining process from bone cancer microscopic images and provide accurate analysis of nuclear size and density with a comparable difference from normal bone histology. The automatic segmentation resulted in a sensitivity of 76.4%, defined as the percentage of hand segmented nuclei that were automatically segmented with good quality.
Efficient Method for Design and Analysis of Mining High Utility Itemsets

— Mining high utility itemsets from value-based databases is a vital information mining assignment, which alludes to the disclosure of itemsets with high utilities (e.g. high benefits). Albeit a few studies have been done, current techniques may display excessively numerous high utility itemsets for a client, which corrupts the execution of the mining errand as far as execution and memory proficiency. To accomplish high productivity for the mining undertaking and give a compact mining result to clients, we propose a novel system in this paper for mining closed+ high utility itemsets, which serves as a reduced and lossless representation of high utility itemsets. We display a proficient calculation called CHUD (Closed+ High Utility itemset Disclosure) for mining closed+ high utility itemsets. Further, a strategy called DAHU (Derive All High Utility itemsets) is proposed to recuperate all high utility itemsets from the arrangement of closed+ high utility itemsets without getting to the first database. Aftereffects of tests on genuine and manufactured datasets demonstrate that CHUD and DAHU are exceptionally effective with a gigantic decrease (up to 800 times in our tests) in the number of high utility itemsets. Also, when all high utility itemsets are recuperated by DAHU, the methodology joining CHUD and DAHU additionally beats the best in class calculations in mining high utility itemsets.
The solution of the problem of unknown words under neural machine translation of the Kazakh language

ABSTRACT The paper proposes a solution to the problem of unknown words for neural machine translation (NMT). The proposed solution is shown by the example of NMT of the Kazakh-English language pair. The novelty of the proposed technology for solving the problem of unknown words in the NMT of the Kazakh language is an algorithm proposed for searching for unknown words in the dictionary of a trained model of NMT and using the dictionary of synonyms of the Kazakh to replace an unknown word with a word that is close in meaning. A dictionary of synonyms is used to search for words that are similar in meaning to the unknown words, which was defined. Moreover, the found synonyms are checked for the presence in the vocabulary of a trained model. After that, a new translation of the edited sentence of the source language is performed. The base of words-synonyms of the Kazakh language is collected. Software solutions to the unknown word problem have been developed in the Python. The proposed technology solution to the problem of unknown words was tested on the two parallel Kazakh-English corpus in both variants: baseline NMT and NMT with using of the proposed technology.
COMPONENT-ORIENTED PROGRAMMING: OBJECTED-ORIENTED AND BEYOND

This paper addresses the following questions: What is software component? How to build component? What is component-oriented programming, and how the programming languages contribute in this new programming paradigm? Since the development of computer, scientists, computer experts, have been trying to find a better way to build software applications. Numerous programming languages were developed, and the newer one has more power, capabilities to facilitate programming. Along with the newer, object-oriented capability languages such as C++, Java, C#, programming paradigm is also changed, from the structured to object-oriented, and to component-oriented programming. This paper considers books, and research papers on similar topics that might provide a deeper understanding of software component, and the answers to these questions above.
IMPLEMENTATION OF LDPC USING MIN-SUM DECODING ALGORITHM

In storage system Low-density parity-check (LDPC) codes are used because the performance of error correction is very close to Shannon limit for large block lengths. In this paper LDPC decoder using min-sum algorithm is proposed. The inter-connect complexity is reduced by restricting the extrinsic message length to 2 bits and also simplifies the check node operation by this decoder. The increased complexity is fairly low.Simulation results show the proposed Min-Sum decoding algorithm using matlab.The main features of the Min-Sum decoding, that is low complexity and independence with respect to noise variance estimation errors.
An Efficient Frequent ItemSets Mining Algorithm for Distributed Databases

— Association Rules Mining (ARM) in large transactional databases is an important problem in the field of knowledge discovery. It has many applications in decision support and marketing strategy. Centralized and Distributed Association Rules Mining (DARM) include two phases of frequent itemset extraction and strong rule extraction. The most important part of ARM is Frequent Itemsets Mining (FIM) and because of its importance in recent years, there have been many algorithms implemented for it. In this paper, we have focused on distributed Apriori-Like frequent itemsets mining and proposed a distributed algorithm, called Efficient Frequent ItemSets Mining for Distributed Databases (EDFIM). EDFIM has a merger site to reduce communication overhead and eliminates size of dataset partitions. The experimental results show that our algorithm generates support counts of candidate itemsets quicker than other DARM algorithms and reduces the size of average transactions, datasets, and message exchanges.
E-Waste Management by Utilization of E-Plastics in Concrete Mixture as Coarse Aggregate Replacement

Utilization of waste materials and industrial by-products is a sustainable solution to environmental and ecological problems. Use of such materials makes their reutilization in cement, concrete and other construction materials, and also reduces the cost of cement and concrete manufacturing. Other indirect benefits include reduction in landfill cost, energy saving and reduction in solid waste. Electronic waste (e-waste) consists of discarded refrigerators, radios, TVs, Air conditioners, Mobile phones, computers and several other electronic gadgets that have reached their end of life or become obsolete. Efforts are being made in the construction industry to use nonbiodegradable components of e-waste as a partial replacement of the coarse or fine aggregates in concrete. This study focuses on the utilization of e-waste plastic particles in concrete and tests the feasibility of utilizing shredded e-plastic particles as partial replacement of coarse aggregate. It was observed that when e-plastic alone was used, there was a decrease in strength but when 10% fly ash was added results comparable to control specimen were obtained. It is thereby suggested that utilization of this e-waste in concrete will reduce the requirement for conventional coarse aggregates thereby resulting in conservation of natural resources.
Video based Saliency Detection

Saliency Detection is very important for image and video processing application. This paper presents Saliency Detection for video processing. The sample video is converted in the form of Frames. Now Saliency algorithm is apply to the frames of images to filter the background from the video frames. The frames are filter in four parts, first the Hyper Complex Form algorithm is apply to separate the R, G & B color form the image. In second part Gaussian filter is apply to smooth the image. In third part Binary filter is apply to filter the noise factor from the images. In last again Gaussian filter apply to filter the image for smoothness. The output of the paper gives the compressed and reduced background video frame. The experimental result clearly justifies our model.
Psychological Health of Older Women in Hong Kong: Do Demographic Characteristics Make a Difference?

Background: The aging population of Hong Kong is rapidly growing. Although older adults enjoy a relatively long life expectancy, their psychological health is ranked near the bottom in the world. Objectives: This study assessed the psychological health of older women in Hong Kong and compared it with that of older men. It also aimed to examine if demographic characteristics have similar effects on the psychological health of older women and men. Methods: A standardized questionnaire was administered in face-to-face interviews with 554 participants (288 women and 266 men), aged 70 years or above. Psychological health was measured by the general health questionnaire-30 (GHQ-30), center for epidemiologic studies-depression (CES-D) scale, and life satisfaction index (LSI). Chi square test was performed to examine gender differences in psychological health and determine the relationship between demographic characteristics and psychological health of the elderly. Results: Compared with older men, a greater proportion of older women were at risk of mild psychiatric problems (22.1% vs. 12.3%, P < 0.001), depression (38.6 vs. 18.8%, P < 0.001), and dissatisfaction with life (38.5% vs. 21.5%, P = 0.002). The correlation of psychological health with age, marital status, and educational attainment was not similar among older women and men. Conclusions: Health promotion programs should be implemented to reduce health inequalities among men and women. Effectiveness of programs can be enhanced by targeting the elderly whose psychological health is most vulnerable.