Miracle-dz/UniFAR-FTUs huggingface dataset:
The Use of Glycolysis products of Poly ( ethylene terphthalate ) waste as a Compatibilzer for SBR / EPDM Blend . IIn Presence of Carbon Black and Paraffinic Oil

363 Abstract— Recycling of the polyethylene terphthalate (PET) waste does not only serve as a partial solution to the solid waste but also contributes to the conservation of raw materials and energy. In our study, depolymerization process of post consumer PET beverage bottles was carried out by glycolysis using cis-2-buten-1, 4-diol (2BD). The PET glycolysis products (GP) were incorporated as a compatibilizer in 50/50 styrene butadiene rubber/ethylene propylene diene monomer (SBR/EPDM) blends in different concentrations. The feasibility of the use GP as a compatibilizer was assessed by calculating the heat of mixing, strain energy of the SBR/EPDM compounds. Swelling measurements were carried out to evaluate the compatibilizer-rubber blend interaction and to calculate the molecular weight between two crosslink’s and crosslink density. Differential scanning calorimetry (DSC) experiments were used to examine the compatibilizer efficiency by detecting the glass transition temperature (Tg) of the SBR/EPDM compounds. Scanning electron microscope (SEM) was used to study the effect of the compatibilizer on the morphology rubber blends. Moreover the effect of high abrasion carbon black (HAF) and paraffinic oil on the compatibilizer efficiency were also studied.
Computerized Growth Analysis of Seeds Using Deep Learning Method

: Seed Germination is ideal and most important for seed quality which has an impact on its production as well as its yield. Presently germination rate calculation is done manually with the help of trained persons which is a very tiresome process. Through this project, we present a system for computerized and automatic determination of germination rate using some high-level techniques in computer vision and machine learning. We analyze the germination rate of seeds by comparing it with a large number of datasets comprising of germinated and non-germinated samples using neural networks. This analysis is done by considering the root of the germinated seed. Therefore this method is known as Multi-Level Root Metric Ratio(MLRM) method
Mining Product Reviews for Spam Detection Using Supervised Technique

— By the introduction of web 2.0 and cheap accessibility of web, many merchant sites are operating and providing space for their users to share their experiences in form of customer reviews. Such reviews contain precious knowledge useful for both customers as well as manufacturers. E-customer accesses these reviews to know opinion expressed by existing users on a product before making purchase decision. Further, such reviews are used by manufactures to know shortcoming in their existing products as well as to know strength of a competitor products for making business plans. Since Internet has no quality control, anyone can write anything which results in low quality reviews that contain biased information known as spam, and may mislead the customer affecting his buying decisions. Thus, it is very essential to have a mechanism which is capable of assessing the trustworthiness of reviews for proper decision making or for marketing intelligence. In this paper we propose a supervised method for spam detection. Dataset are taken from merchant sites like amazon.com. However our experimental results show our proposed method is very effective over the existing method.
Traffic Density Based Smart Signaling System Using Image Processing In MATLAB

: Today’s traffic management system has no significance on live traffic scenario, which leads to amateurish traffic management systems. These traffic timers just show the pre-set time, this is like using open loop system. If we consolidate a closed loop system using camera, it is possible to predict the required time on traffic light timers according to the traffic density. If the traffic light timers are showing only required time to regulate the traffic, then the time wasted on unwanted green signals (green signal, when there is no traffic) will be saved. Timer for each lane is the simplest way to control traffic and if those timers are predicting required time based on traffic density present in the lane then automatically the system will be more efficient. This proposed system measures the number of vehicles present in each lane using image processing in MATLAB software. It aims to control traffic based on current scenario of the traffic density present on the roads and also gives emergency alert to clear the lane in which emergency vehicle such as ambulance is detected irrespective of the traffic density.
DIGITAL CONTROL AND TRANSFORM FUNCTION OF PULSE FREQUENCY MODULATED FULL BRIDGE DC/DC CONVERTER WITH SERIES BOOST CAPACITOR

1-Department of Electrical Engineering, Amirkabir University of Technology Tehran 1591634311, Iran * Corresponding author email: vahidi@aut.ac. ir 2Department of Electrical Engineering, Kurdistan University Sanandaj 15177-66177, Iran ABSTRACT: The Full Bridge DC/DC Converters have several topologies, each of them has features and disadvantages. From all of them Zero-Voltage Switching Phase-Shifted Full-Bridge (ZVS-PS-FB) DC/DC converters take considerable attentions . Large magnitude of free-wheeling current in interruption time, so losses increased and efficiency decreased. Using Pulse Frequency Modulation (PFM) and Series Boost Capacitor (SBC) interruption time eliminated, so efficiency increased and losses decreased. In this paper proposed to derive the transfer function from the state space to study the PFM-SBC converter and design controller. Using digital cont roller which is implemented by DSP decrease the system overshoot, improve circuit response time consequently better stability. To confirm operations experimental and analysis results presented.
Peer to Peer File Sharing System

Peer to Peer file sharing systems are discussed in a lot of academic research. Many Peer to Peer applications are available which work on the computer and mobile, such as Gnutella, Napster, Bittorent, and SymTorrent. File sharing causes a lot of the traffic on the network, thus some of the technology is used to reduce the traffic and find the files easily. Mobile devices are becoming multifunctional, so why not create a peer-to-peer file sharing system between the mobile devices. In this paper a Peer to Peer file sharing system between mobile devices is designed and implemented using Bluetooth as a communication protocol. The application allows J2ME and MIDP (Mobile Information Device Profile) enabled mobile devices to share and publish the files in the network over Bluetooth, search for specific types of files such as (music, picture, text, and program) and download them onto its local memory. It is possible to develop the system in the future, to add more features and the capacity to work on more than one operating system for mobiles. The application was implemented and tested successfully between more than two mobile devices using an emulator in Wireless toolkit. The application fulfils the basic requirements for peer-to-peer file sharing. In addition, the application was implemented on two Nokia devices successfully, except the downloading files did not work, which is because the operating system for Nokia devices is Symbian. As a result some libraries did not work. The application allows the user to share and search for any type of file within range of the Bluetooth.
Expanding Therapeutic Horizons of Bevacizumab

Background: In the past few years there has been an increased interest in the repurposing of already approved pharmacotherapies for other uses. Bevacizumab is the most widely off-label used antiangiogenic in retinal ophthalmology, recently highlighting new targets in other ocular disorders. Objective: The objective of this review is to evaluate the evidence and discuss the rationale behind the recent suggestions that bevacizumab may be useful in the management of pterygium as an “off-label” drug.
DESIGN & ANALYSIS OF ORTHOGONAL CUTTING SLOT MICROSTRIP PATCH ANTENNA AT 2.0 GHz FOR DUAL BAND APPLICATION

In this paper, we designed a orthogonal cutting slot patch antenna for dual band application. After designing the antenna on 2 GHz , we study and analyzed the results of simulated antenna. For wireless and WLAN-band because of antenna has dual band, we uses the dielectric substrate 4.4, loss tangent 0.002 and having the substrate height 1.6 mm. The simulation of antenna on IE3d software at 2 GHz frequency showing the bandwidth 23% and 53.38% having return loss -37db and 30db,antenna resonant at frequency 1.5 GHz and 2 GHz . Results i.e., return loss, VSWR, smith chart, gain, directivity, efficiency and 3D-radiation pattern and also 2D radiation pattern of antenna for software design are shown. KeywordsOrthogonal, cutting slot, microstrip antenna, IE3D software, enhances bandwidth.
Infrastructure Based Reactive Location Service for Packet Delivery in Vehicular Communication

VANETs are special kind of Mobile Ad Hoc Networks (MANETs) that are formed between moving vehicles on an as-needed basis. Routing in VANET uses a greedy routing protocol which requires geographical information like location of any vehicle. The primary objective of this paper is to reduce the transmission delay by using some Road Side Units (RSU) already deployed along the roads. RSU gather information about all the vehicles which are connected in its range. Here each and every vehicle need not be communicated but the vehicles that are nearest and which have the information about location of destination are only involved. We use enhanced RLS which is hybrid communication from source to destination. It results to reduce the flooding requests and make communication faster which leads to improve the packet delivery ratio and reduce the transmission delay or end to end delay. In addition to this the source vehicle sends a request with its velocity to RSU, it will communicate with other RSU’s for the destination vehicle. After finding the destination it will send the request with velocity of the destination. Based on the velocity of destination and intermediate nodes the source will increase its velocity to avoid the frequent link breakage in order to reduce the transmission delay. The proposed algorithm is simulated using NS2 and results shows that ERLS decreases the transmission delay and increases the packet delivery ratio.
Area and Delay Efficient Fused Four Term Dot Product

: Dot product is one of the most widely used mathematical operation used in wide variety of applications. Past reseraches computes the fused floating point four term dot product unit with an increased area and delay.Some modifications can be brought to this work which can reduces the area and delay.On implementing the present method there will be an effective reduction in area and delay.
Improvement of Spinal Cord Injury in Rat Model via Transplantation of Neural Stem Cells Derived From Bone Marrow

Abstract Background & Aims: Cell therapy is among the novel therapeutic methods effective in the treatment of spinal cord injuries. The aim of the present study was using neural stem cells (NSCs) in treating contusion spinal cord injury in rat model. Methods: Bone marrow stromal cells (BMSCs) were isolated from adult rats. After three passages, these cells were transdifferntiated to neurospheres and subsequently to neural stem cells (NSCs). At in vivo studies, 43 adult female rats were divided into 5 groups. For the first group or Sham, laminectomy was the only procedure performed, whereas for the other four groups, after laminectomy, a contusion Spinal Cord Injury (SCI) was induced, as well. In group 2, no treatment was performed. In the other groups, injection was performed 7 days after SCI, as such: in groups 3, 4, and 5 normal saline, BMSCs, and NSCs were injected, respectively. The injections were administered intraspinally (IS). Motor improvement was assessed via BBB test one day before SCI and continued up to 12 weeks afterwards in all groups. Results: The current study revealed that a considerable percentage of the cells were BMSCs after the fourth passage. These cells were then transformed into neurospheres and NSCs. In all the experimental cell-therapy groups, a significant motor improvement was observed in comparison with that in the control group. This healing was more obvious during the period between the 2nd and the 4th weeks and less prominent during the period between the 4th and the 12th weeks. Conclusion: Transplantation of NSCs leads to partial motor improvement in contusive rat models.
Mathematical modeling and speed control of BLDC Motor Using GA and PID

This paper presents the modeling of three phase brushless DC motor along with the speed regulation scheme with trapezoidal back-emf consideration. Permanent magnet synchronous motor with a trapezoidal back EMF waveform shape is conventionally called as Brushless DC motor (BLDC). In this project, GA tuned is better than PID is shown which results in a better optimization of the process. Index Terms BLDC, PID controller, GA controller. ________________________________________________________________________________________________________
DETERMINANT FACTORS TO DISCONTINUE THE ADOPTION OF IMPROVED OKRO PRODUCTION TECHNOLOGIES BY FARMERS IN IVO LOCAL GOVERNMENT AREA OF EBONYI STATE, NIGERIA

Studies on the determinant factors to the adoption of agricultural technologies are abound but there is dearth of information on the factors that predispose farmers to discontinue the adoption of innovation. This is despite the vast proof of drastic decline in production yield statistics of many crops such as okra, notwithstanding the proven evidences of technologies transfer from research to the farmers. It is based on this premise that this study was carried out using variables such as attitude, extension visit, feedback provision, marketability and input availability. Totally, 120 okra farmers were randomly selected using multi stage random sampling technique for the study. Structured questionnaire and oral interview were used to obtain information from the respondents. Mean, Tobit model and gross margin analysis model analyses were used to address the objectives of the study. The results revealed that the determinant factors to the rejection of adoption of okra production technology by the farmers were attitude, feedback provision, marketability and input availability. Also, okra is profitable in the study area with positive net farm income of N265, 356 and gross margin of N266, 356. The recommendations proffered were the need to enhance farmers’ access to credit through commercial banks and microfinance banks. Furthermore, there is need to expose farmers to educational and extension programmes.
New Wireless Multifunctional Smart Robot for Border Security Surveillance with Real Time Object Recognition

Fringe observation is the most significant errand in the field of national protection and security. To keep up the harmony and to guarantee security of the outskirts it needs to hold under all day, every day observing. Particularly, under the present conditions, as Illegal movement, bringing in, embedding hazardous gadget, fear monger exercises are regular difficulties happen in our nation outskirt. To check such happenings on the outskirt regions, the least that should be possible is to give a constant observing.The edge of a country border spreads to several thousand heaps for which human surveillance is more challenge and may lead to loss of human life. To overcome the problem in this paper a new Wireless Multifunctional Smart Robot for Border Security Surveillance with Real Time Object Recognition (OR) system is introduced the proposed robotics system is based on IOT and OR. This method mechanically senses the interruption form the strangers and sends the photos to the admin that categorized which kind of object is to be capture in the image sensor with the help of convolution neural networks (CNN). The multi-sensor Smart robot is proficient for sensing motion using Passive and also Infrared Sensor, poisonous gas using Gas sensor, fire or blast using Flame Sensor, high temperature using Temperature sensor, Camera for capturing the activities in the border, ultrasonic sensor for detecting any obstacles and GPS is used for tracking the location. Any trespasses, bombs, harmful gases, fire and other dangerous situations are sensed and sent to the server. This system detects the dangerous conditions near the border and saves the life immediately without any loss of human life
THE STUDY TO EVALUATE PERFORMANCE BASED ON FUZZY CONCEPT AND KANO'S MODEL

Likert scale were, in the past, commonly used in a questionnaire to assess the performance, however, the ambiguity and uncertainty of human mentality and feeling cannot be describe by scale measurement. Moreover, customers demand is often not belong to be part of performance assessment and some of these processis complicate while the sum of the assessment weights base on subjective decisions. The two-dimensional quality model developed in 1984 by Japanese professor Noriaki Kano is a notablemethod to refer to customer demand. Different customersneeds can be easily classified by service quality factor categories of Kano two-dimensional quality model. The purpose of this paper is tobased on this model to structure a fuzzy conceptual framework of service quality performance assessment model. Therefore, this research will conduct fuzzy concept, such as fuzzy mode, fuzzy interval linguistic questionnaire and OWA operator, into service quality performance assessment. Furthermore, Kano two-dimensional model will be the structure of assessment in order to establish an assessment model including customer demand. Those fuzzy concept include using fuzzy linguistic variables to replace the traditional values of variables in questionnaire design and to process the comparison of different values of linguistic variables. It also includes fuzzy mode instead of applying traditional mode to indentify Kano two-dimensional attribution category and to use OWA operator to obtain related weight determination. As a result, this paper will test these theories in the case study of Taiwan bank industry to analysis the feasibility of performance assessment model in this research. It aims to develop an assessment model for enterprise a reference of their performance. Keywords— OWA; Fuzzy Mode, Fuzzy Interval Linguistic Variables, Kano Two Dimensional Quality Model
International Journal of Innovative Technology and Exploring Engineering (IJITEE)

Most of the organizations use text analytics to uncover purposeful information from an unstructured text as a result of considering the linguistic communication process techniques area unit extremely difficult. They typically cause several issues because of the inconsistency in syntax and linguistics. Sentiment analysis based on the opinion of the users. On twitter, many people post about their experience on the traffic routes. This project discusses the prediction of text mining analysis. On that post collecting from the data set and we find out which path is the best path for the travellers and waiting for commuters. In this project we discuss the traffic mining tweets using the keywords predicting the positive and negative comment on the Twitter. Experimentation involves discussion and comparison of ensemble classifiers over tagged tweets. Finally, it will be finding the best accuracy.
Requirements Elicitation Techniques: Comparative Study

— Over the years, software development failures is really a burning issue, might be ascribed to quite a number of attributes, of which, no-compliance of users requirements and using the non suitable technique to elicit user requirements are considered foremost. In order to address this issue and to facilitate system designers, this study had filtered and compared user requirements elicitation technique, based on principles of requirements engineering. This comparative study facilitates developers to build systems based on success stories, making use of a optimistic perspective for achieving a foreseeable future. This paper is aimed at enhancing processes of choosing a suitable technique to elicit user requirements; this is crucial to determine the requirements of the user, as it enables much better software development and does not waste resources unnecessarily. Basically, this study will complement the present approaches, by representing a optimistic and potential factor for every single method in requirements engineering, which results in much better user needs, and identifies novel and distinctive specifications.
Popular Decision Tree Algorithms of Data Mining Techniques: A Review

— The technologies of data production and collection have been advanced rapidly. As result to that, everything gets automatically: data storage and accumulation. Data mining is the tool to predict the unobserved useful information from that huge amount of data. Otherwise, we have a rich data but poor information and this information may be incorrect. In this paper, review of data mining has been presented, where this review show the data mining techniques and focuses on the popular decision tree algorithms (C4.5 and ID3) with their learning tools. Different datasets have been experimented to demonstrate the precision.
Digital Forensic Analysis through Document Clustering

: Digital forensic is the process of uncovering and interpreting process of uncovering and interpretingelectronic data for use in a court of law. The goal of the process is to preserve any evidence in its most original form while performing a structured investigation by collecting identifying and validating the digital information for the purpose of reconstructing past events. Digital forensics deals with the analysis of artifacts on all types of digital devices. The role of digital forensics is to facilitate the investigation of criminal activities that involve digital devices, to preserve, gather, analyze and provide scientific and technical evidence
Proposing Optimal Meeting Location Using NSGA-II

In recent days use of smart phones has increased on large scale for day to day real life scenarios. These mobile devices contain many applications to provide location aware service to the users. We are considering a scenario where five people want to find the location to have an in person meeting. But the meeting location must be at most exact distance from all people’s current location. Finding efficient and optimum meeting location is a crucial task. However, the meeting point decided through call or message may or may not be efficient to all users. In this paper, we aim to find a meeting location which should be optimum to all the users. Instead of using old strategy i.e. phone call or random deciding the place, we propose a method which will decide optimum location by considering all users current location parameter received from user’s smart phone. To get the optimum location, proposed system uses Non Dominated Sorting Genetic Algorithm (NSGA-II) which is advanced version of genetic algorithm. Our result shows 99% optimum meet location.
Top-K Ranking Spatial Queries over Filtering Data

: A spatial preference query ranks objects based on the qualities of features in their spatial neighborhood. For example, using a real estate agency database of flats for lease, a customer may want to rank the flats with respect to the appropriateness of their location, defined after aggregating the qualities of other features (e.g., restaurants, cafes, hospital, market, etc.) within their spatial neighborhood. Such a neighborhood concept can be specified by the user via different functions. But they are accessing services only non filtering methodology. In this paper we propose to develop Top-k preferable product categorization can be defined efficient process generation. Our experimental results show efficient filtering rules with semantic data representation.