Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification of Main Verbal Indicators of Mental Status of University Students’ at Onset of Unrest

Many factors which includes biological or environmental, influence variation in the mental status of an individual if he/she is exposed to them. Negative factors are the root cause of mental status at the onset of unrest and this can have specific manifestations. During social unrest, people’s entire way of life is torn apart. These problems may exhibit themselves verbally since the body’s verbal dispensation is a reliable sign of internal state of affairs. Several research findings show that University students’ unrest is a common phenomenon all over the world and that most Universities are focused on the aftermath of students’ unrest. However, studies have not been done on identifying verbal indicators of mental status of University students’ at the onset of students’ unrest and then implementing appropriate preventive measures to forestall University students’ unrest. The objective of the study was to identify the main verbal indicators of mental status of University students’ at onset of unrest. It was a survey research design which used mixed research method approaches. Data was collected using structured questionnaires. The research population included Security officers, secretaries, of selected public Universities in Kenya. Simple random sampling was used which gave a total sample size of 145 which was obtained from a target population of 177. The quantitative data collected was analyzed using SPSS programme into frequency counts, percentages, means and independent ttest analysis. From the findings, the main verbal indicators of mental status of University students’ at the onset of unrest were identified as:the use of the word ‘comrade’ in speech being the most common, followed by a ‘threatful speech’, the use of the word ‘power’ in speech, increased talkativeness in speech, loud speech tone, very fast speech rate and hurtful speech, in that order.
Detection of Chromium (Cr) using X-ray Fluorescence Technique and Investigation of Cr Propagation from Poultry Feeds to Egg and Chicken Flesh

This paper presents possibility of detecting the presence of Chromium (Cr) in poultry in Rajshahi area using X-ray fluorescence (XRF) technique. It also investigates the propagation of Cr from poultry feeds to chicken flesh. Poultry feeds were collected from different vendors at Rajshahi. It was found that some of the locally produced poultry feeds contained a considerable amount of Cr that propagates to the chicken meat and egg. This Cr might be hazardous for human health. Among the four most widely used feeds in Rajshahi region maximum Cr concentration of 17.3 ppm was detected in “Adorsho feed (Pabna)”. Transmission of Cr from feed to egg and various parts of chicken were investigated with chicken samples of different ages grown by feeding “Adorsho feed”. An average of 4.3 ppm of Cr was found in Yolk and 2.7 ppm was found in the egg-white. Highest concentration of Cr was found to be 5.9 ppm in the brain of 29-days old chicken. The concentration of Cr was different in various parts of chicken depending on its age. The experimental results indicate that the XRF technique can be used efficiently to detect the presence and transmission of heavy metals like Cr from feed to egg and poultry.
Detection of Application Layer Ddos Attacks for Web Services Using Information Based Metrics

— Distributed Denial of Service attacks is major threats these days over internet applications and web services. These attacks moving forward towards application layer to acquire and waste maximum CPU cycles. By requesting resources from web services in huge amount using rapid fire of requests, attacker automated programs utilizes all the capability of processing of single server application or distributed environment application. The phases of the scheme implementation are user behavior monitoring and detection. In first phase by gathering the information of user behavior and calculating individual user’s trust score will take place and Entropy of the same user will be calculated. Based on first phase, in detection phase, variation in entropy will be observed and malicious users will be detected. Rate limiter is also introduced to stop or downgrade serving the malicious users.
A Self-Optimization Based Virtual Machine Scheduling to Workloads in Cloud Computing Environment

: Energy consumption in the cloud computing plays a vital role in operating cost to the service provider and cloud user. The cloud is scalable and it can provide the access as per demand, due to this resource access requests are increasing, and submitted to the server. To manage all request, scheduling is the solution to assign request with the quality of service. To avoid high operating cost, resource scheduling needs to be energy-aware. In this paper, energy-aware resource scheduling in the cloud is proposing. Total resource utilization of each resource has been calculating and energy is optimizing through antlion optimization algorithm to avoid high consumption of power. The resource is identify with its best utilization value and assign to submit workloads as per priority basis. The experimental results of the proposed work are analyzing with existing autonomic frameworks, and it is observed that proposed work is performing utmost.
Plasma and Tissue Pharmacokinetics of Cefazolin in an Immature Porcine Model of Pediatric Cardiac Surgery

Background: Surgical Site Infection (SSI) prevention for children with congenital heart disease is imperative and methods to assess and evaluate the tissue concentrations of prophylactic antibiotics are important to help maximize these efforts. The purpose of this study was to determine the plasma and tissue concentrations of standard-of-care peri-operative cefazolin dosing in an immature porcine model of cardiac surgery and cardiopulmonary bypass. Methods: Piglets (3-5 days old) underwent either median sternotomy (MS) or cardiopulmonary bypass with deep hypothermic circulatory arrest (CPB+DHCA) and received standard of care prophylactic cefazolin for the procedures. Serial plasma and microdialysis sampling of skeletal muscle and subcutaneous tissue adjacent to the surgical site was performed. Cefazolin concentrations were measured, non-compartmental pharmacokinetic analyses were performed, and tissue penetration of cefazolin was assessed. Results: Following the first intravenous dose, maximal cefazolin concentrations for plasma and tissue samples were similar between groups with peak tissue concentrations 15-30 minutes after administration. After the second cefazolin dose given with initiation of CPB, total plasma cefazolin concentrations remained relatively constant until the end of DHCA and then decreased while muscle and subcutaneous unbound cefazolin concentrations showed a second peak during or after rewarming. For the MS group, 60-67% of the intraoperative time showed tissue cefazolin concentrations greater than16 μg/mL while this percentage was 78-79% for the CPB+DHCA group. There was less tissue penetration of cefazolin in the group that underwent CBP+DHCA (P=0.03). Conclusions: The cefazolin dosing used in this study achieves plasma and tissue concentrations that should be effective against methicillin-sensitive Staphylococcus aureus but may not be effective against some gram-negative pathogens. The timing of cefazolin administration prior to incision and a second dose given during cardiopulmonary bypass may be important factors for achieving goal tissue concentrations.
ADAPTIVE DC LINK VOLTAGE CONTROL FOR COMMON POINT INTERFACE VOLTAGE VARIATIONS IN A 3- PHASE GRID TIED SPV SYSTEM

This proposed demonstrate manages a three-stage two-arrange lattice tied SPV (sun based photograph voltaic) framework. The main stage is a lift converter, which fills the need of MPPT (most extreme power point following) and encouraging the separated sun powered energy to the DC connection of the PV inverter, while the second stage is a two-level VSC (voltage source converter) filling in as PV inverter which sustains control from a lift converter into the network. The adaptable DC voltage control helps in the abatement exchanging power misfortunes. The dc voltage is managed utilizing a PI controller when different control calculations are utilized for stack pay.
Fault Tolerant Routing and Scheduling Scheme for Multi Hop Wireless Networks

— The multiple link failure recovery algorithm is introduced in this project, to provide the forwarding continuity even with multiple link failures. The transient failures are common in IP networks and it also have some proposals based on local rerouting. To ensure forwarding continuity, introducing the multiple link failure recovery algorithm, even with multiple link failures. For forwarding the informations, each packet carries a blacklist, which is a min set of failed links encountered along its path, and the next hop is choosen by excluding the blacklisted links. This project describes how it can be applied to ensure forwarding to all reachable destinations in case of any two or more link or node failures. Simulation results show that achieves the loop-free routes from source to the destination. TIRSN attains better performances with twofold the amount of data delivery for traffic.
Object Detection and Sentence Generation from Images

Being able to automatically describe the content of an image using properly formed English sentences is a very challenging task. The ultimate goal is to generate descriptions of image regions. A model that generates natural language descriptions of images and their regions is thus developed. The approach leverages datasets of images and their sentence descriptions to learn about the inter-modal correspondences between language and visual data. Alignment model is based on a novel combination of Convolutional Neural Networks over image regions, bidirectional Recurrent Neural Networks over sentences, and a structured objective that aligns the two modalities through a multimodal embedding. A Multimodal Recurrent Neural Network architecture is described that uses the inferred alignments to learn to generate novel descriptions of image regions. The alignment model produces state of the art results in retrieval experiments on Flickr8K dataset. The generated descriptions significantly outperform retrieval baselines on both full images and on a new dataset of region-level annotations.
Reliability And Efficient Protocol For Position-Based Routing In Vehicular Ad Hoc Network

In VANETs intellectual traffic services are proficient if they are associated with technique that oversee and generate confidence between service providers and vehicles. As a consequence, the authentication of the supplier of traffic situation information and the authorization of entity’s to admittance this information is essential. Accordingly it’s indispensable to expand an advance security method for VANETs protocol. In this paper to proposed progress the security of position-based routing. This illumination can challenge almost each of the attacks, still those attacks which at in attendance obtainable security protocol can’t treaty between, such as the maliciously drop-packets-attack approximating black hole attack, a scheme is anticipated to improve the security concert of position-based routing protocols. This method has proved effectiveness and has enhanced security. This method utilizes digital signature to assertion the distinctiveness authentication, data reliability and non-repudiation. The dissimilarity to nearly all of other solutions is that an estimate method is proposed, which can distinguish malicious nodes that drop routing data. This method has been demonstrate effectiveness and has improved security and network NS2 simulation.
Ann Adv Biomed Sci 2018, 1(1): 000104

This study investigated the antiplasmodial effects of leaves extract of Azadirachta indica, Senna occidentalis and Combination therapy of both plans extracts using RPMI 1640 culture media (in vitro). Parasite density was determined by counting the number of Plasmodium falciparum infected erythrocyte in 5,000 erythrocytes of the culture, thin blood smear were prepared and stained with Giemsa stain. Varying concentrations of the extracts such as 10, 20, to 100 mg/mL were prepared, the effect of the leaves extracts against the growth of schizonts were dose dependant. A. indica showed highest growth inhibition (96.92%) at 70m g/ml. However, the schizonts were found to be inhibited by the leaves extract of S. occidetalis at the highest concentration (100 mg/mL) with growth inhibition of 98.46%, there was no significant difference in the anti-malaria efficacy among the leave extracts and the Combination therapy (p<0.05) at 100 mg/mL. The results of phytochemical screening indicated A. indica and S.occidentalis contain Alkaloids, Flavonoids, Saponins, Saponins glycosides, Steroids and Terpenoids. The result of the study showed that Azadirachta indica and Senna occidentalis contain pharmacologically active compounds, hence they are potential antimalaria.
Evaluation of BER and PAPR by using Different Modulation Schemes in OFDM System

There are various issues related to OFDM such as dispersion (ICI), external interference (crosstalk) and nonlinearities (PAPR). OFDM suffers from a high Peak to Average Power Ratio (PAPR), caused by the addition of a large number of independently modulated sub-carriers in parallel at the transmitter. When subject to a non-linear power amplifier, these signals may undergo significant spectral distortion, leading to interference both in-band and out-of-band and an associated degradation in system performance. In this paper, the main focus is on the comparative performance evaluation of OFDM system in terms of PAPR and BER. Later in this paper, simulation result shows the PAPR and BER performance to observe the effect of IFFT size on PAPR without any reduction technique, with clipping technique and with companding technique for different modulation schemes such as BPSK, QPSK and 16PSK with 256 subcarriers.
Augmenting Pilgrim Experience and Safety with Geo-location Way finding and Mobile Augmented Reality

Summary Grand Mosque Al-Haram is always crowded with the pilgrim that coming from around the world. The highest intensity of crowd is when hajj period or during Ramadan. Even though the grand mosque is already supplied with many signboard routes, exit or emergency sign. There are some difficulties that pilgrim faced when they got misplaced inside or outside mosque such as: language or communication, haji’s age, fatigue, minor sense of direction, panic, etc. Therefore, this paper present novel way finding technique that combines the augmented reality technology with global positioning system (GPS) to give proper direction towards pilgrim. Initially, the simulation toward selected 40 exit routes has been performed by discrete poisson distribution algorithm; in order to obtain the optimum expense or travel time. The second simulation is focused on analyzing the flow of 200 people, which are going through multiple exit doors. Furthermore, people's stream of action is monitored to illustrate their concentration flowing motion toward exit gates. The simulation shows the promising result that is potential to be used by pilgrim or government as personal or evacuation guidance.
SPEECH RECOGNITION IN NOISY ENVIRONMENT USING DIFFERENT FEATURE EXTRACTION TECHNIQUES

: In this paper, different feature extraction methods for speech recognition system such as Mel-frequency cepstral coefficients (MFCC), linear predictive coefficient cepstrum (LPCC) and Bark frequency cepstral coefficients (BFCC) are implemented and the comparison is done based on average recognition accuracy. We suggest a noise robust isolated word speech recognition system which can be applied in various noisy environments. In this method, Kalman filter is used to remove the background noise and to enhance the speech signal. The enhanced signal is integrated into the front end of recognition system in order to guarantee high performance in noisy environment conditions. Performance of different recognition methods are compared based on recognition accuracy rate in noisy environment.
A New Method for Optimal Design of Slotless Permanent Magnet BLDC Motor with Surface Mounted Magnets Using Modified Social Spider Algorithm

BLDC motor, Modified social spider algorithm, Power losses, Evolutionary algorithms. In this paper, a new method based on the evolutionary algorithms is proposed for optimal design of a slotless permanent magnet brushless DC (BLDC) motor with surface mounted magnets. BLDC motor is the ideal choice for applications that require high reliability, high efficiency, and high power-to-volume ratio. These motors are widely used in sensitive applications such as medical instruments, space crafts and submarines. In these applications having high efficiency, minimum volume and cost are very important. So, in this paper, the objective function of design is presented considering efficiency, volume and cost, simultaneously. The modified social spider algorithm (MSSA) is one of the newest evolutionary algorithms whose capabilities have been proved in solving complicated optimization problems. The MSSO algorithm must find the optimal value of geometric parameter of motor including number of pole pairs, cross sectional area of wire, pole–arc per pole–pitch ratio, magnet thickness, stator/rotor core thickness, winding thickness, mechanical air gap, rotor radius, current density, wire gauge and stator/rotor axial length to minimize the power losses, volume and cost. The simulation results show that the proposed method has excellent performance in slotless permanent magnet BLDC design.
Overlapping Slicing: A Novel Approach for Data Anonymization

publishing data about individuals without revealing sensitive information about them is an important problem. A number of methods have recently been proposed for privacy preserving of multi dimensional records. One of the methods for privacy preserving is data anonymization. Data anonymization techniques, such as generalization, bucketization and slicing have been designed. Generalization cannot be used for high dimensional data. Bucketization cannot separate quasi attributes with sensitive attributes. Slicing provides better privacy but loss of data utility. So, in this paper we introduce a novel technique called overlapping slicing which provides better data utility using ldiversity requirement for high dimensional data. We use an efficient algorithm called chi_matrix for attribute correlation. Our experimental evaluation shows that overlapping slicing can have better data utility.
Connecting Social Network with Smart Education: A Microblog-Based Experimental System

 Abstract — In this paper, we propose a microblog-based experimental system for enhancing smart education. In the age of social network, smart education lacks effective platform to help students practice social-network-oriented tasks, such as information pre-processing and information extraction. For this purpose, we develop a microblog-based experimental system that offers many functions to process microblog information, including microblog crawling, microblog pre-processing, and event detection from microblogs. In particular, we implement a number of state-of-the-art models and algorithms in the system, which enable students to learn existing technologies related to social-network information processing more effectively. After a brief introduction on the system framework, we present the experimental results of microblog-based event detection. Finally, we discuss the impact of our system on smart education.
Enhancement in Power System Performance through Compensation Technique

Flickering Voltage has become one of the most severe power quality problems (especially in loads like electrical arc furnaces) and much attention has been paid to it lately. With the semiconductor industry developing and progressing at a very fast pace lots on new devices such as the compensators based on voltage source converters, FACTS devices have been developed which have been found quite successful in mitigating the voltage flickering and achieving good power quality. This paper covers dealing with the voltage flicker mitigation and compensation using he Static Synchronous Compensator (STATCOM). The obtained results show that STATCOM is very efficient and effective for the flicker compensation. All the simulations have been performed on the MATLAB Software.
Review on Micro-Climate Changer using Sensor Broadcasted Data

: micro-environment changer using sensor broadcasted data gives human centric context ( e.g indoor, outdoor, at home/in office, driving/walking)have been extensively researched, few attempts have studied from phones perspective(e.g. on table/sofa, in pocket/bag/hand). We refer to such immediate surroundings as micro-environment, usually several to a dozen of centimeters, around a phone In this study, we design and implement a micro environment sensing platform that automatically records sensor hints and characterize the micro-environment of Smartphone. The platform runs as a daemon process on Smartphone and provide finer-grained environment to upper layer applications via programming interface. micro-environment is unified framework converting the major cases of phone usage, placement, attitude. And interaction in practical uses with complicated user habits. As a long-term running middleware, considers both energy consumption and user friendship. We prototype micro-environment on Android OS. The preliminary results show that -environment changer using sensor broadcasted data achieves low energy cost, rapid system deployment, and competitive sensing accuracy.
A REVIEW ON ENERGY EFFICIENT PROTOCOLS IN WIRELESS SENSOR NETWORKS

Wireless Sensor networks are a collection of the sensor nodes with inbuilt processor and memory unit. The data collected by each sensor node is communicated through the network to a single processing center that uses all reported data to detect the event. Reliable routing of the packets is the crucial task in the wireless sensor networks. The message passing must be designed to save the energy of the sensor nodes. The routing protocols used in other networks cannot be used in WSN due to its battery powered nodes. This paper give an overview of the different routing approaches used in wireless sensor networks and a brief model of energy efficient protocols in WSN. This paper includes future work in direction to provide better energy efficiency in wireless sensor networks.
Towards Online Shortest Path Using LTI

- Towards online shortest path problem aims at computing the shortest path based on live trafﬁc circumstances and recommends the best path. This is very important in modern car navigation systems as it helps drivers to make sensible decisions. To our best knowledge, there is no efﬁcient system/solution that can offer affordable costs at both client and server sides for online shortest path computation. Unfortunately, the conventional client-server architecture scales poorly with the number of clients. A promising approach is to let the server collect live trafﬁc information and then broadcast them over radio or wireless network. This approach has excellent scalability with the number of clients. Thus, it develop a new framework called live trafﬁc index (LTI) which enables drivers to quickly and effectively collect the live trafﬁc information on the broadcasting channel. An impressive result is that the driver can compute/update their shortest path result by receiving only a small fraction of the index. Our experimental study shows that LTI is robust to various parameters and it offers relatively short tune-in cost (at client side), fast query response time (at client side), small broadcast size (at server side), and light maintenance time (at server side) for online shortest path problem.