Miracle-dz/UniFAR-FTUs huggingface dataset:
A Comparison Analysis Study of EIGA, MEGA &EIGA-MEGA of a GA for Solving DSPRP in MANETS

: In Internet Routing, the static shortest path (SP) problem has been addressed using well known intelligent optimization techniques like artificial neural networks, genetic algorithms (GAs) and particle swarm optimization. Advancement in wireless communication lead more and more mobile wireless networks, such as mobile networks [mobile ad hoc networks (MANETs)] and wireless sensor networks. Dynamic nature of the network is the main characteristic of MANET. Therefore, the SP routing problem in MANET turns into dynamic optimization problem (DOP). Here the nodes are made aware of the environmental condition, thereby making it intelligent, which goes as the input for GA. The implementation then uses GAs with modified immigrants and memory schemes to solve the dynamic SP routing problem (DSPRP) in MANETS. In our paper, once the network topology changes, the optimal solutions in the new environment can be searched using the new immigrants or the useful information stored in the memory. Comparison results shows GA with new immigrants shows better convergence result than GA with memory scheme.
EFFECT OF FEMALE FERTILITY BLEND

Background: Female Fertility Blend ® is a nutritional supplement for improving fertility in women containing vitamins, minerals, enzymes, amino acids, all may sustain the oocyte quality and ovarian function, at the same time protect oocyte from free radicals damage. Objective: The aim of the study is to examine the in vitro effect of Female Fertility Blend ® (FFB) addition on oocyte maturation and to confirm the effect of Female Fertility Blend ® on oocyte quality. Materials and Methods: In this study, 0.1ml from FFB concentrations (0.1, 0.15 mg/ml culture medium) was added to 7 ml of Ham_F12 medium for in vitro maturation, where the mature oocytes divided into three groups. The first group the gametes were cultured in Ham_F12 medium alone (FFB-free medium) and considered as control, second group the ova were cultured in0.1 mg/ml FFBHam_F12 culture medium, and the third group treated with 0.15 mg/ml FFBHam_F12 culture medium. Results: This study showed high significant (P<0.001) differences in maturation rate in both concentration of FFB that added to the medium (0.1, 0.15 mg/ml culture medium). Conclusions: It was concluded that the culturing and incubation of oocytes in a medium containing Female Fertility Blend ® has a great improvement in oocyte maturation.
Genetic Diversity of Apis mellifera (Hymenoptera: Insecta)-A Review

The Honey bee is an important model animal for behavioral study as it is a colonial insect with complex social behavior. Hymenopterans are a diverse group of organisms and due to their richness at species level, DNA based identification is useful from genetic point of view. In this review different molecular tools used for identification of this diverse group is made here in.
Flow Installation in Open Flow Based Software Defined Network; A Security Perspective

In present world Software Defined Networks are setting new definitions of high speed and advance networking. These networks are growing very efficiently and spreading their popularity in industry as well as in research and development. There is a wide range of scope in this kind of advanced network from security point of view. In this research paper communication pattern and different flows coming to software defined networks are being analyzed. These flows are having their own property because of the protocols attached with them. Every time a new flow came into the software defined network, the controller generates a separate flow table for this flow. Here the process of manual installation of different flows is discussed for the security point of view of software defined network.
Application of Chlorophyll Fluorescence Imaging Technology for Fresh Quality Control of Grape Fruit Preserved Under Different Storage Conditions

The objective of this study was to find a rapid determination of the freshness of grape (Vitis vinifera. L.) fruits using portable chlorophyll fluorescence imaging instrument. To assess the fresh quality of grape fruits, an imaging technique of the photochemical responses of pericarp of grape fruit was performed with fruits preserved under the different storage conditions. The observed chlorophyll imaging photos were numerically transformed to the photochemical parameters on the basis of chlorophyll fluorescence. The storage conditions for fruits were regulated as follows; room temperature (control), heat (42°C), wet (22°C±2 and 80% relative humidity), and chilling (4°C) conditions. Chlorophyll fluorescence imaging (CFI) technology showed that the decrease in Fv/Fm and ΦPSII were lower under the chilling stress than the other conditions in grape fruits. In heat condition, the photochemical parameters calculated from the images of Fv/Fm ratios, ΦPSII and non-photoquenching (NPQ) were available to determine the freshness of fruits. In our study, it was clearly indicated that the chilling condition was the suitable storage condition for grape fruits. The CFI technology is applicable as a rapid screening method for the determination of freshness of grape fruits. KeywordChlorophyll fluorescence imaging, Chilling, Heat, Wet, Storage
Enhance IDS False Alarm Filtering Using KNN Classifier

Intrusion detection is one of the important aspects in computer security. Many commercial intrusion detection systems (IDSs) are available and are widely used by organizations. However, most of them suffer from the problem of high false alarm rate, which added heavy workload to security officers who are responsible for handling the alarms. In this paper, we propose a new method to reduce the number of false alarms. We model the normal alarm patterns of IDSs and detect anomaly from incoming alarm streams using k-nearest-neighbor classifier. Preliminary experiments show that our approach successfully reduces up to 93% of false alarms generated by famous IDS.
Relationship of Attachment Styles and Locus of Control among Third Year Girls of Secondary School

Background: Attachment is an emotional bonding between child and his mother and quality of this relationship may impact the psychological wellbeing of child in next steps of life. Main purpose of this study was to study the Relation of attachment styles (secure, avoidant, anxious and ambivalent) and locus of control (Internal-External) among third year girls of secondary school in Iran. Materials and Methods: The Sample of the present research was selected by Random sampling method from 3 educational regions north, center and south of Tehran. The total sample consisted of 305 students. Two questionnaires were used, including revised Adult attachment scale (secure, avoidant and anxious/ambivalent) by Collins and read (1990) and locus of control questionnaire by Julian Rotter (1966-1972). Regarding analysis of Hypothesis, Pearson correlation test and multiple regression were conducted. Results: The result indicated that secure attachment style maintains no relationship with internal locus of control. While, avoidant attachment style maintain a meaningful positive relation with external locus of Control. No meaningful relation was found between attachment style and locus of control adolescents and their parent’s age. A positive meaningful relation was found between adolescents’ attachment style and their parent’s educational levels. Father’s high educational level (MSc, PhD) showed a positive relation with anxious/ambivalent attachment style. Additionally, fathers’ low educational level (diploma and lower degrees), showed a positive relation with secure attachment style. The mother’s high educational level showed positive relation with anxious ambivalent attachment style. No relation was found between adolescent locus of control and parent’s education and parent’s job.
Evaluation of Trust in Students, Administrators and Teachers (Case Study: Islamic Azad University of Khomeinishahr). J. Educ. Manage. Stud., 3(4):295-300.;

Increase the level of trust in organizations, increase jobs and improve staff shall comfort. The distrust, suspicion of others and lack of confidence in the people. The result of this lack of trust, lack of disruption in the formation of relationships and collective cooperation. This study tries confidence and masters students of Islamic Azad University of Khomeinishahr officials to review. The results show that, 88.5% of respondents believed the lower average level of integrity in speech and behavior of officials and faculty and 79.8%, while medium and low confidence in the officials and university professors believe, they are just doing their job to moderate and low. 87% believe that the level of cooperation and assistance is low. Also, more than half of the respondents believe that the high and very high levels, there is a pretense and hypocrisy on the campus. Also, more than half of the respondents were high and very high levels, religion and social ethics as a solution.
A Study Of Student Monitoring System Through RFID

: The idea behind this paper is to track the student in school campus and record the place where the student visited. The proposed system requires the RFID tag which will be embedded in the identity card of students. System also requires RFID readers which will be installed at various places in school campus and also in classes. When student comes in the range of reader then location can be found which will sends that location to server. The RFID card Reader reads the Student identity. The Interface software is responsible to record the location of the student in the server. The system generates the reports of location of the students. It is application which is completely automated and parents can see the location of their child through application.
IMPLEMENTING CST IN LEARNING LAYER OF CSIA FOR HIGHER LEVEL OF INTELLIGENCE

---------------------------------------------------------------------- ABSTRACT ----------------------------------------------------------- Development of cognitive architecture where the agents at different levels exhibit different levels of thinking. The paper primarily focus on building the skill tree at the learning layer of the architecture. These include the discovery of one’s own body, including its structure and dynamics. Also the acquisition of associated cognitive skills such as self and non-self-distinction. This can be achieved by implementing CST(Constructing Skill Trees). CST is a hierarchical reinforcement learning algorithm which can build skill trees from a set of sample solution trajectories obtained from demonstration. CST is much faster learning algorithm than skill chaining. CST can be applied to learning higher dimensional policies. Even unsuccessful episode can improve skills. Skills acquired using agent-centric features can be used for other problems.
ON-CHIP PERMUTATION NETWORK IN MULTIPROCESSOR SYSTEM ON-CHIP FOR ADDRESSING PERMANENT ERRORS

This paper presents the design of on-chip permutation network to support traffic permutation and an adaptive system for detecting and bypassing permanent errors in on-chip interconnects. Without interrupting the data flow this system employs pipelined circuit-switching approach with dynamic path setup which reroutes the data to a set of spare wires on erroneous links . If there is any change in permutation dynamic path set up scheme supports run time path arrangement. The multistage network topology detects permanent errors at runtime. The circuit-switching offers a guarantee of permuted data and enables the benefit of stacking multiple networks. In-Line Test (ILT) using spare wires and test pattern generator is proposed .
Oil Rents, Institutions and Financial Development: Case Study of selected Oil Exporting Countries

Based on the empirical evidence and researches, the majority of oil dependent countries have the low level of financial development. So the aim of this study is to investigate whether the oil rents weakens the financial development in oil dependent economies? In this study, direct and indirect impact of the oil rent on financial development is examined using Generalized Method of Moments (GMM) for 17 selected oil exporting countries, over the period 2002-2010. The result suggests that oil rent has had a negative effect on financial development and has provided the context of the weakening financial markets in two direct and indirect (through institutional quality channel and weakening it) ways. Also the result indicates that there is a positive and significant relationship between institutional quality and financial development. So improving the institutional quality is a necessary and essential condition to enhance financial development.
A NEOTERIC AUTHENTICATION SCHEME FOR IOT HEALTHCARE SYSTEM

The Internet of Things (IoT), interconnection of huge number of everyday objects, is the future of the scientific world. The increasing amounts of devices with Wi-Fi capabilities allow them to send and receive data. Now-a-days smart phone is with everybody and its usage is sky-rocketing. This gives way to connect anything that can be connected, will be connected and secure sharing of information critical. In this paper, the existing works are analyzed and new architecture for Smart healthcare system is proposed. A neoteric authentication scheme that supplements the security of the smart healthcare system is also proposed
Multiple variations of the abdominal vessels in a single cadaver

Introduction The abdominal aorta begins at 12th thoracic vertebra, and it descends anterior to the lumbar vertebrae, and bifurcates at the 4th lumbal vertebral body. It supplies all the abdominal organs, abdominal walls, gonads, and lower extremity [1]. In the usual vasculature, celiac trunk is divided into three branches: common hepatic artery (CHA), splenic artery (SA), and left gastric artery (LGA). The CHA gives hepatic artery proper (HAP) and gastroduodenal artery. HAP divides into left hepatic branch and right hepatic branch. The renal arteries arise from the side of the aorta, immediately below the superior mesenteric artery. The testicular arteries arise from the front of the aorta, a little below the renal arteries. The left renal vein is longer than the right, and passes in front of the aorta. It receives the left testicular and left inferior phrenic veins [1]. Assessment of the hepatic arterial anatomy is one of significant interest in liver transplantation. Moreover, hepatic vasculature is extremely important in chemotherapy treatment of primary or secondary liver tumors. Injuries to accessory or aberrant hepatic arteries can lead to liver ischemia or necrosis [2, 3]. Good knowledge of the renal vascular variations is essential in case of renal transplantation, renal surgeries, gonadal surgeries, uroradiology, gonadal color Doppler imaging, and in surgeries of aneurysms of abdominal aorta [4]. Therefore, it is very important to know normal anatomy, and their variations of the abdominal vessels.
Pixel Based Image Fusion Using Fast Discrete Curvlet Transform With Graphical User Interaction

: Image fusion is very important technique used to extract the useful information from several images into a single image. Image fusion is a sequel to data fusion. The basic limitation of the wavelet fusion algorithm is in fusion of curved shapes and this can be accurated by the application of the Curvelet transform(FDCT),would result in the better fusion efficiency. Image fusion algorithms can be categorized into different levels: pixel, feature, and decision levels. Pixel level fusion works directly on the pixels of source images while feature level fusion algorithms operate on features extracted from the source images. The proposed image fusion algorithm is implemented for fusion of medical images. In medical imaging, MRI and CT images are of main concern for diagnosis of brain, chest and spines related diseases. This process can be implemented through graphical user inter-action. The results are analyzed and tested using GUI.
A NOVEL FINGERPRINT RECOGNITION SYSTEM USING LBP FUZZY FEATURES

: This paper presents a simple, but computationally efficient approach for fingerprint recognition. In this proposed approach fingerprint image is divided into windows of size 3  3 to extract the fuzzy features. The information at the center of the window is the product of information extracted using Local Binary Pattern (LBP) and fuzzy membership function. Maximization of mutual information between orientation extracted from the test and trainee images is used for alignment of fingerprint images. K-nearest neighbor (KNN) and Support Vector Machine (SVM) classifiers are used for matching on FVC2002 DB2_B databases. The experimental results shows that recognition rate of 97.8% are observed with SVM classifier.
Design and Implementation of Reconfigurable Router A rchitecture for Dynamic NoC’s

— Network-on-chip (NoC) designs are based on a compromise among latency, power dissipation, or energy, and the balance is usually deﬁned at design time. However, setting all parameters, such as buffer size, at design time can cause either excessive power dissipation (originated by router under utilization) or a higher latency. The situation worsens whenever the application changes its communication pattern, e.g., a portable phone downloads a new service. Large buffer sizes can ensure performance during the execution of different applications, but unfortunately, these same buffers are mainly responsible for the router total power dissipation. Another aspect is that by sizing buffers for the worst case latency incurs extra dissipation for the mean case, which is much more frequent. In this paper we propose the use of a reconﬁgurable router where the buffer slots are dynamically allocated to increase router efficiency in an NoC, even under rather different communication loads. In the proposed architecture, the depth of each buffer word used in the input channels of the routers can be reconﬁgured at run time. The implementation results prove that the proposed reconﬁgurable router allows reduced power savings and smaller buffer sizes.
Periodontal Regeneration of Intra Bony Defects using Demineralized Bone Matrix (ColoCast)® alone and in Conjunction with ß Tricalcium Phosphate (R.T.R)® : A Randomized Controlled Clinical Trial

Copyright: ©2018 Krishna Kripal et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Citation: Krishna Kripal et al. (2018), Periodontal Regeneration of Intra Bony Defects using Demineralized Bone Matrix (ColoCast)® alone and in Conjunction with ß Tricalcium Phosphate (R.T.R)® : A Randomized Controlled Clinical Trial. Int J Dent & Oral Heal. 4:9, 130-142. Abstract Aim: Aim of the present study was clinical and radiographic evaluation and comparison of the efficacy of periodontal regeneration of intrabony defects using demineralized bone matrix (ColoCast®) alone and in conjunction with beta tri calcium phosphate (R.T.R®). Materials and Methods: A total of 45 intrabony defects were treated in 28 patients. Defects were randomly divided by using lot technique into group I (n=15; ColoCast®), group II (n=15; ColoCast® + R.T.R®) and group III (n=15; OFD). Clinical parameters included of plaque index, gingival index, probing depth (PD), clinical attachment level (CAL), gingival recession (GR), and cemento enamel junction from a fixed reference point (acrylic stent). Radiographic parameters included radiographic defect depth, radiographic defect fill, percentage defect fill and radiographic bone density analysis. Radiographs were recorded and analyzed using radiovisiography (RVG) and film grid. All the parameters were recorded at baseline, 3, 6 and 9 months visits. Results: The mean PD reduction, gain in CAL, mean GR, reduction in mean radiographic defect depth and mean percentage defect fill was 3.87mm, 2.87mm, 0.33mm, 2.73mm and 27.8% respectively in group I at 9 months. The mean probing depth reduction, gain in clinical attachment level, mean gingival recession, reduction in mean radiographic defect depth and mean percentage defect fill was 5.20mm, 4.60mm, 0.33mm, 4.33mm and 30.7% respectively in group II at 9 months. The mean PD reduction, gain in CAL, mean GR, reduction in mean radiographic defect depth and mean percentage defect fill was 2.93mm, 2.73mm, 0.47mm, 3.07mm and 26.3% respectively in group III at 9 months. Conclusion: Within the limits of the present study, it can be concluded that regenerative periodontal surgery with both demineralized bone matrix (ColoCast)® alone and in conjunction with beta tri calcium phosphate (R.T.R)® resulted significant clinical improvements in intrabony defects when compared to open flap debridement alone, as evidenced by reduction in probing depths and gain in clinical attachment level and satisfactory defect fill. Improvement of clinical and radiographic parameters at sites treated with ColoCast® + R.T. R® were better compared to that of sites treated with ColoCast® alone and OFD. ISSN 2471-657X
Efficient use of System Metrics for IDS Design

-Security and protection of highly sensitive and private data are the major concern in the present era of Information Technology. In the present study, various intrusion detection and prevention system are studied. The main objective of this system is to provide a crucial solution for critical evaluation of variant attacks and their classification. The work presents an adaptive approach based on anomaly detection by observing system call patterns at kernel level to increase the probability of detecting the attacks and thereby reducing the false alarm rate. DLL are used to observe the legitimate and malicious traces. Semantic rules and use of multiple decision engines is the main attraction of this work. Hidden Markov Model and Extreme Learning Machine algorithms shows promising results respective to detection rate and false alarm rate. It has been observed that if appropriate training is provided to this system hundred percent results can be achieved. Publically available data set ADFA is used for training and testing of the system.
Scalable and Efficient Provable Data Possession

-Cloud storage has become an attractive and cost effective alternative for enterprises to outsource their valuable business data. However, there are security concerns pertaining to the integrity of data as the cloud server is treated as “untrusted”. To overcome this problem many security schemes came into existence. Recently Zhu et al. presented a technique known as Provable Data Possession (PDP) for data integrity in cloud with distributed storage mechanisms. They considered multiple cloud service providers to store data in cooperative fashion. Their solution makes use of homomorphic verifiable response indeed and multi-prover zero-knowledge system for ensuring data integrity. In this paper we practically implement the PDP scheme proposed by Zhu et al. and build a prototype application to demonstrate the proof of concept. The empirical results reveal that the PDP scheme is very effective and can be used in real time multi-cloud environments.