Miracle-dz/UniFAR-FTUs huggingface dataset:
Intrusion Detection and Classification Using Improved ID3 Algorithm of Data Mining

—I ntrusion detection technology exists a lot of problems, such as low performance, low intelligent level, high false alarm rate, high false negative rate and so on. There is a need to develop some robust decision tree in order to produce effective decision rules from the attacked data. In this paper, ID3 decision tree classification method is used to build an effective decision tree for intrusion detection, then convert the decision tree into rules and save them into the knowledge base of intrusion detection system. These rules are used to judge whether the new network behavior is normal or abnormal. Experiments show that: the detection accuracy rate of intrusion detection algorithm based on ID3 decision tree is over 97%, and the process of constructing rules is easy to understand, so it is an effective method for intrusion detection. This paper introduces the use of ID3 algorithm of decision tree and we use Havrda and Charvat Entropy instead of Shannon Entropy. This decision tree evaluates less false positive and true negative alarm rates compare to existing algorithms. This Decision Tree helps in taking the better decision to analyze the data.
Design and Implementation of IRTIV: Intelligent Routing protocol using real time Trafﬁc for Mobile Ad Hoc Networks

: Wireless networking is an emerging technology that will allow users to access information and services regardless of their geographic position. In contrast to infrastructure based networks, in wireless ad hoc networks, all nodes are mobile and can be connected dynamically in an arbitrary manner. All nodes of these networks behave as routers and take part in discovery and maintenance of routes to other nodes in the network. This feature presents a great challenge to the design of a routing scheme since link bandwidth is very limited and the network topology changes as users roam. This thesis investigates the behavior of existing traditional routing algorithms and proposes and implements a new routing approach for ad hoc wireless networks: IRTIV: Intelligent Routing protocol using real time Trafﬁc Routing. IRTIV: Intelligent Routing protocol using real time Trafﬁc Routing is similar to Link State routing, but uses a IRTIV: Intelligent Routing protocol using real time Trafﬁc technique to reduce the consumption of bandwidth by control overhead.
Effect of Germination Time, Light & Hydrolysis on Antioxidants and Antioxidant Activities of Soya Beans (Glycine max)

-Soybean is a high protein, easily grown, affordable, accessible and culturally acceptable legume, commonly consumed in most LMIC. Its protein content are said to be degraded into smaller beneficial peptides with germination time and some other conditions in most climes. Such peptides have antioxidant properties that explain its health benefits. In this study, locally grown soya bean was germinated with and without light for days 1 6, and the flour divided into four treatment groups (SBUD, SBHD, SBUL, & SBHL), that was evaluated for antioxidants and antioxidant properties and the results compared. The results showed differences in TFC, TPC, RPA, GPX, MDA, CAT & DPPH, with those germinated under light and hydrolyzed, showing better antioxidants and properties. The optimal germination time defined by DPPH activity of 61% with excellent correlation with MDA (r value = 0.827) and good correlation with CAT (r value = 0.607) was observed in Day 2 SBHL. It can therefore be said that sprouted soya bean exhibits better antioxidant profile especially when hydrolyzed and germinated with light than raw seeds.
Single Phase Transformer less Grid Connected PV Inverter: A Review

This paper focuses on advancement and development of power converter technology in PV systems generally used in grid connected residential setup. Grid-connected PV systems play a key role in power systems, which are connected by power electronics converters. The conventional inverters with transformers connected in PV grid-tied generation system are now being replaced by transformerless inverter. Thus this paper gives an overview on inverter technologies available for connecting solar photovoltaic (PV) modules to a single-phase utility grid. Various transformerless inverter topologies are presented, compared, against demands, lifetime and operations. Finally, a topology is picked out and suggested to be most suitable for single PV module used in residential application. Keywords-photovoltaic systems; power converters; transformerless; single-phase. __________________________________________________*****_________________________________________________
Integrated theoretical model to enhance neonatal screening for sickle hemoglobinopathies in the wake of predictive, preventive, personalized and participatory medicine

This study utilized the integrated theoretical model (ITM) to assess strategies to ameliorate screening for sickle hemoglobinopathies in the age of genomic medicine. Also discussed, is the relevance of predictive, preventive, personalized and participatory interventions. Comparison was made between universal and targeted screening. The international guidelines for neonatal screening were reiterated. The self-efficacy and empowerment of mothers is crucial in ensuring that they effectively participate in the treatment and follow-up of their new-born babies. We emphasized the compliance with the ethical, legal and social implications of newborn screening for genetic diseases. [E. William Ebomoyi. Integrated theoretical model to enhance neonatal screening for sickle hemoglobinopathies in the wake of predictive, preventive, personalized and participatory medicine. Journal of American Science 2010;6(11):531-537]. (ISSN: 1545-1003).
Total Antioxidant Capacity, Total Phenolic Compounds and the Effects of Solvent Concentration on Flavonoid Content in Curcuma longa and Curcuma xanthorhhiza Rhizomes

Natural products such as herbs, fruits, spices, beverages, vegetables are becoming more popular among scientific community and consumers because of their potential to arrest the effect of free radicals in human system. This study investigated the total antioxidant capacity of Curcuma longa and Curcuma xanthorrhiza use as spices and medicinal compound in Southeast Asia. Methanol was used as the extraction solvent, 2,2 – diphenyl -1- picrylhydrazil (DPPH) for free radical scavenging activity and ferric reducing antioxidant power (FRAP) assays. Phenolic acid and polyphenol content were both measured. Different concentrations of methanol were used for the extraction to determine flavonoid content and ascorbic acid was used as the control. The results revealed that C. longa had a higher values in all the assays including DPPH (270.1 mg TE/g dw), FRAP (231.7 mg TE/g dw), phenolic acid (42.7 mg GA/g dw) and polyphenols (39.4 mg GA/g dw). The 90% methanol extract showed the highest flavonoid content in both species of Zingiberaceae. This study provides evidence that the yield of extracts of C. longa and C. Xanthorrhiza obtained are directly proportional to solvent concentration and could be a source of natural antioxidant.
International Journal of Current Research in

Article Info The purpose of this study was to determine the population of dominance plant species (%), and as information for the conservation of land areas to increase the availability of animal feed in Kemiri village, Jember district, East Java. The number of plant species as animal feed was 22, consist of 12 types of grass, six types of legumes, and four types of weeds. The population of grass species more than 75% consisted of Axonopus compessus (85.71%), Para grass (82.14%), Bracharia decumben (75.00%), Kyllinga brevifolia (75.00%), and clover was Centrosema Molle (78.57%). The comparison between plant species consists of grass 57.77%, legumes 22.31%, and weeds 19.92%. The frequent observation of plant height is 19.08 cm, plant cover power is 66%. The findings of this study suggest that Axonopus compessus, Para grass, Bracharia decumben, Kyllinga brevifolia, and Centrosema molle are dominance of plant species could increase production, and in these case could used for development and conservation of availability to increase of animal feed supplies. Accepted: 18 November 2018 Available Online: 20 December 2018
Recent Innovations in Automated Detection and Classification of Diabetic Retinopathy

Due to the increasing prevalence of diabetic retinopathy worldwide, it’s an urgent need to develop smart system that help to detect disease using one of the modern technologies. Artificial intelligence is one of the popular techniques nowadays which has the ability to learn from experience and carry out human-like tasks. Large number of researches have been conducted to find out effective medical diagnosis methods for numerous diseases. Likewise, huge number of researches have been done that discuss automated detection and classification of diabetic retinopathy. This paper reviews the existing methodologies, datasets, sensitivity, specificity and classification accuracy in diabetic retinopathy.
A Web-based Parallel Implementation to Classify Multiclass Large Datasets

: Last few years are witnessed for growing the interest in Web-based Applications. Web applications typically interact with a back-end database to retrieve data to the user as dynamically generated output. In our work, an application is built for classification data sets, especially multi class large data sets, using parallel algorithm PMC-PBC-SVM. Our proposed application presents a general framework for data preprocessing, classification, and prediction. Our application gives an easy and interactive visual interface for classification multi class large data sets which will be useful for both technical and non-technical users .
Ecological Safety Evaluation of Tourism Destination Based on Matter-Element

There are many tourism cities in China and sustainable development of urban tourism has become an important field of tourism research. An ecological safety evaluation index system of tourism city was constructed. The evaluation index system was composed of resource, environmental, economic and social subsystem. Classification standard of evaluation indexes was discussed. Then an evaluation model based on fuzzy matter-element theory was established. Finally a case study on Kaifeng city was developed. The results showed that there was a tendency of gradual improvement in ecological safety condition of Kaifeng city. However, ecological safety condition during the period belonged to critically safe grade. Therefore, ecological safety condition of Kaifeng was unsatisfactory. The study can provide scientific basis for decision-making of local governments, help people know the influences of tourism activities on ecological environment scientifically and timely, and help tourists advance ecological consciousness.
Persistant Hemothorax after Video-Assisted Thoracoscopic Surgery Secondary to Factor V Deficiency

Video-assisted thoracoscopic surgery (VATS) is a surgical procedure with low morbidity or mortality rate in thoracic surgery; even in more complicated lung resection is required. Consequently, in simple procedures, such as pleural biopsies or diagnostic pleuroscopy, the complication rate is very low. Evidence based studies have conclude that patients with limited pulmonary function have better outcome under VATS compared with traditional exploratory thoracotomy [1].
Board Involvement on Earnings Per Share (EPS)

This research aims to investigate the effect of board involvement on earnings per share. The current study uses the correlation and regression models to analyze publicly available data for a sample of 69 firms quoted in the Nigerian Stock Exchange for the fiscal year 2011. This indicates that the research made use of cross sectional data. Several diagnostic tests have been applied to justify the validity of the results. The empirical investigations reveal that director’ shareholdings, board size and board skills have significant impact on performance. Good corporate governance standards are very essential to every organization and should be encouraged and practiced for the interest of the investors, shareholders and other stakeholders. Is worthy of note, that from a developing country like Nigeria, especially in sub-Saharan Africa, this paper is the first of its kind and offers evidence on the effect of board involvement on earnings per share. The paper provides useful information that is of great value to policy makers, academia, corporate firms and other stakeholders.
Keystroke Dynamics Based Authentication As A Service

: With the increase in use of internet, there is an increase in vulnerabilities and security lapses which lead to theft of sensitive data has also increased. To protect data, password-based authentication systems are used. But they are still vulnerable if the user as set one of the very common passwords which can be easily cracked by simple guessing or can be stolen or copied if you wrote the password somewhere and lost it. For better security a second layer of authentication like finger scan are used but need special hardware and become costly to implement.
Metaphorical Thinking and Comparison Cognition

Metaphor in language is the manifestation of metaphorical thinking. Although metaphor has been studied from different perspectives with different focuses, systematic researches on metaphor have seldom been conducted from the angle of metaphorical thinking. Approaching from the perspective of thinking, this paper aims to elaborate the cognitive mechanism of metaphor and claims that comparison cognition generates metaphorical thinking which is a dynamic process consisting of some cognitive links that constitute an organic whole.
REVIEW OF PARAMETER ESTIMATIONUSING ADAPTIVE FILTERING

In this paper, a comparative study of different adaptive filter algorithm for channel parameter estimation is described. We presented different parameter estimation approaches of adaptive filtering. An extended Kalman filter is then applied as a near-optimal solution to the adaptive channel parameter estimation problem. Kalman filtering is applied for motion parameters resulting in optimal pose estimation. A parallel Kalman filter is applied for joint estimation of code delay, multipath gains and Doppler shift. In this paper, a complete review of parameter estimation using adaptive filtering is explained.
Design of a Theory-Based Yoga Intervention to Promote Cardiovascular Health in Older Adults

(2017) 0042 Abstract Cardiovascular disease (CVD) is the leading cause of death in older adults. Physical activity has been shown to reduce CVD risk, yet most older adults do not engage in adequate physical activity to promote cardiovascular health. Yoga has been shown to reduce the risk of CVD through improvement in blood pressure, body composition, glucose tolerance, and lipid profile. However, few yoga interventions have been guided by theory, which limits our understanding of the mechanisms by which yoga is expected to achieve favorable changes in cardiovascular health among older adults. The purpose of this paper is to describe a theory-based approach to the design of the Yoga for HEART (Health Empowerment and Realizing Transformation) intervention to enhance motivation for health behavior change and improve health outcomes in community-dwelling older adults at risk for CVD. This pilot randomized controlled trial (RCT) will provide information about the feasibility of conducting a future definitive RCT. Twenty (N=20) sedentary older adults (  50 years) will be randomly assigned to the yoga intervention group or to an attention control group. Intervention group participants will attend group yoga sessions for 60 minutes, twice per week, for 12 weeks. Attention control group participants will receive mailed weekly newsletters. The groups will be compared pre-intervention (T1) and post-intervention (T2) on theoretical mediating variables, physical activity behavior, cardiovascular health outcomes (i.e., blood pressure and body composition), and health-related physical fitness (i.e., endurance, strength, balance, and flexibility). Feasibility will be assessed in terms of intervention acceptability,
ENCRYPTED IMAGE TRANSMISSION OVER MIMO CHANNEL FOR SECURED COMMUNICATION USING COMPRESSIVE SENSING TECHNOLOGY

In wireless communication, the channel is characterized by multipath propagation due to scattering by different obstacles. Multiple Input Multiple Output (MIMO) channel which considers this multipath propagation offers significant increase in data throughput and link range without additional bandwidth or transmit power. With the availability of high data rates by MIMO channel, images can be transmitted with high reliability. An image is source coded by using Compressive Sensing (CS) algorithm where the input image is converted to bit streams. These bit streams are spatially multiplexed into four data streams which are transmitted simultaneously over the four antennas. The data streams are then channel coded by using 4-Quadrature Amplitude Modulation (4-QAM). Then unequal power allocation scheme is employed where each transmitting antenna gets different amount of power according to the data it transmits. The result is simulated using MATLAB. The results show that the unequal power allocation provides significant quality improvement than the any other technique. The result also reveals that Spatial diversity can be utilized more efficiently using Compressive Sensing.
Vulnerability of Biometric AuthenticationSystem

Biometrics is a means of identifying somebody or an electronic system through some measurable, behavioral or biological characteristics such as fingerprints, voice or iris, patterns, a password etc for the singular aim of distinguishing between a specific individual and an impostor. In computer technology, biometrics relates to identity confirmation and security techniques that rely on measurable, individual biological features that recognize or verify the identity of individuals through automated means. This paper is motivated by the fact that some traditional authentication methods as mentioned above might not be sufficient to combat identification (ID) theft or ensure adequate security. For example, password could be easily forgotten, lost, guessed or stolen. Again, the Biometric System may also fail to operate as intended due to manipulations by adversaries. Thus, the objective of this work is to examine the Biometric Authentication System vulnerabilities and attack which may come in form of intrinsic limitation, adversary attacks, Biometric Encryption. The methodology used involved steganographic and water making techniques and cancelled Biometric Techniques. It was found that spoofing attacks are major threat to Biometric Systems and Liveness detection are vulnerable.
A REVIEW ON TASK SCHEDULING IN MOBILE CLOUD COMPUTING ENVIRONMENT

: Cloud computing is a recent and upcoming technology which includes various areas. Due to some inherent defects of mobile devices, such as limited battery energy, insufficient storage space, mobile applications are confronted with many challenges in mobility management, quality of service (QoS) insurance, energy management and security issues, which has stimulated the emergence of many computing paradigms, such as Mobile Cloud Computing (MCC), Fog Computing, etc. Mostly one network application can be decomposed into fine-grained tasks which consist of sequential tasks and parallel tasks. With the assistance of mobile cloud computing, some tasks could be offloaded to the cloud for speeding up executions and saving energy. Maintaining energy conservation the efficiency of energy has become a major problem with increased usage of devices consuming more energy due to MCC paradigms allow to offload some tasks to the cloud for execution. To manage this problem task are schedule in both at the mobile device and in the mobile cloud. Task scheduling is taken as the factor to reduce consumption of energy. Tasks can be assigned and scheduled based on the algorithms and so energy can be conserved.
Text Classification and Classifiers: A Comparative Study

-Text classiﬁcation is used to organize documents in a predeﬁned set of classes. It is very useful in Web content management, search engines; email ﬁltering, etc. The expansion of information and power automatic classification of data and textual data gains increasingly and give high performance. In this paper some machine learning classifiers are described i
A Localization Algorithm for Wireless Sensor Networks Using One Mobile Beacon

This paper proposes an accurate, low cost and power efficient localization algorithm for Wireless Sensor Networks (WSN). The algorithm uses a Received Signal Strength (RSS) measurement technique and a mobile anchor node equipped with a GPS and a directional antenna. The algorithm does not depend on specific ranging hardware requirements for sensor nodes, Moreover; the algorithm needs only one anchor node to achieve high localization accuracy. Performance evaluation of the proposed algorithm is done using MATLAB. The results show that the proposed algorithm achieves a high localization accuracy by reducing the localization error by 66.53%. Moreover it extends the nodes’ lifetime by reducing the reception energy consumption by 95.94% compared to DIR localization algorithm introduced in [10].
Security Related Issues in Cloud Computing: A Survey

Cloud computing is a type of computing model in which services are delivering through which resources are accessed from a centralized pool of resource. The cloud management software has to manage the resources at large scale. Cloud computing has become an alternative means of internet for this computing world. Cloud represents ubiquitous computing means that it found everywhere. Cloud user and the cloud service provider are the two main units involved in cloud computing. Also, a cloud broker can be exists. Since a cloud is the set of many nodes, which can support a variety of application which is used by the clients on the basis of pay per use. By its pay per use characteristics cloud computing is very popular now a days.However, there are issues and problems in regarding of cloud computing security which is becoming a competitive boundary among various cloud service providers. In this survey paper, we introduces in depth analysis of security issues in the cloud computing environment and challenges which are focusing on the types of cloud computing. We shown cloud trust protocol which is a solution approach to limit these challenges and issues.
THE COMPUTATIONAL FACETS OF NORMALIZATION STRATEGIES FOR THE RECOGNITION OF A LANGUAGE

: Normalization of a character image is a crucial preprocessing stage in the development of robust text recognizers. It helps in the standardization of size, position as well as font variants of a same character shape so as to reduce the differences between the images of the same character class. Comparison between the ratio-based normalization and scaling based normalization is made to analyze their affects in the process of standardization with respect to shape degradation and deformity, they introduce in the original shape. The effect of each normalization method on a character image is evaluated. In fixed aspect ratio mapping the normalized image plane is mapped to a square. For inherently long-shaped or wide-shaped characters, transforming those to square may yield excessive distortion and will deteriorate the recognition performance. An Aspect Ratio Adaptive Normalization is analyzed that yields better recognition performance as the aspect ratio of the input image is partially preserved with adaptation in such a way that the original aspect ratio can be derived from the normalized aspect ratio and vice-versa.