Reviewerly/exHarmony huggingface dataset:
Design of UAV lateral regulator stability system due to turbulence on cloud seeding operation: A case study of Wulung PA-07

Lateral regulator stability algorithm for Wulung PA-07 has been designed using Simulink/Matlab. This system is designed using pole placement and linear quadratic regulator method in order to deal with high turbulence environment. The turbulence is modelled by passing a band limited white noise through Dryden turbulence function. The LQR is experienced give a better transient performance compared to the pole placement method. It produces maximum roll angle around 3.6°, while the maximum roll angle of the pole placement method is 15.2°. On the other hand, the LQR system with a rudder as an input produces 1.76° for roll angle, which is around 20% lower compared to the maximum roll angle produced by pole placement method. In addition, the control input between LQR and pole placement method is similar, except the former shows the better performance compared to the latter. To sum up, based on the simulation result the LQR method capable to be maintain Wulung PA-07 stability on high turbulence environment.
Survey on Handwritten Gujarati Word Image Matching

Over the past decade, there has been a rising interest in addressing knowledge indexing using word matching, demonstrated by the ever-increasing number of approaches. Research on the subject of word matching in handwritten documents has been an active research field, and substantial progress has been made in dominating scripts in recent years. However, a regional script like Gujarati still lacks research attention. This paper provides an overview of the published word spotting research efforts in handwritten as well as printed document images for Indian scripts. The major contribution of this paper is to provide a bird's eye view of the field and identify potential research gaps specifically for handwritten Gujarati word image matching.
Critical Philosophical Study on Policy in Educational Institution: Response to the global competitive environment

Abstract This article explores the development of compensation and rewards policies in educational institution. The global era with its systematized characteristics makes educational institutions have to reformulate how they should appreciate the performance of their employees. The performance of an organization or institution, including educational institution, always strongly associated with the welfare of its employees. Basically, educational institutions need the same stimulation as other institutions, especially in terms of financial administration. the concept of compensation and reward becomes an aspect that must be pursued because it can motivate employee performance to improve over time. However, it will always be associated with compensation and rewards given to them. This article compiled by using literature study of qualitative approach. This article will also be fitted with some discussion about the essence of compensation and rewards, the Islamic viewpoint of it, and the types of each, by reviewing some of literature on human resources. Providing adequate compensation and rewards will greatly help improve employee performance, even though the amount is not so large. However, the essence of providing compensation and the award is as a form of empathy shown by the management of the educational institution to its employees. Compensation and rewards management is absolutely necessary in order to maintain optimum performance of all members in an educational institution. The policies should be determined equally and wisely so that the performance of all parties are always in a good condition and it will surely increasing day after day. Therefore, the development of compensation and rewards policies must be carried out continuously.
Various Noises in Medical Images and De-noising Techniques

It has become a great topic to be researched for the better interpretation of the medical images. There are many de-noising techniques and filters available till now but still it is the topic of research. How, it is to get the fully de-noised image using any of the filtering techniques invented yet or using new idea of filtering. Wiener filtering is one of the most popular methods. Wavelets transform has become a very powerful tool for removing the noise from the images. Some of the noise cannot be ignored from the images while diagnosis. So, it is very important to remove the noise from such types of images. Numerous research papers have been published regarding this topic but still the research is going on to get fully de-noised medical images.
Bowling Action Analysis using Microsoft Kinect Xbox 360 : December 2019

This paper presents a system to analyse the bowling action in Cricket. The aim of the system is to calculate the elbow-flex angle of the bowler to examine the action as legal or illegal. Kinect Xbox 360 sensor is used to acquire the video of the complete action of the player. We have tested two methods for measuring angle of flex, that are marker-based techniques and marker-less techniques. Marker-less technique is used to find out the elbow-flex angle in which angle calculation is done by detecting skeleton points using built-in libraries of MATLAB and Java. Marker-based technique is used to find out the elbow flex angle in which angle calculation is done by detecting the markers attached on the body of the bowler. Once the action is analysed using single camera, multiple Kinect cameras are then interfaced for testing the bowling action from different angles. At the end, the angle of the elbow is obtained through the marker-based system is compared with the actual angle and discussed the accuracy of both systems.
Adaptive Step Size of Firefly’s Fuzzy Clustering Image Segmentation

Aiming at the local optimal problem and noise sensitivity problem of image segmentation in FCM, an adaptive step size firefly fuzzy kernel function clustering is proposed for image segmentation. Firstly, the firefly algorithm was used to optimize the clustering center of KFCM, and then an adaptive step size was proposed to solve the problems caused by firefly step size, so as to prevent the clustering algorithm from falling into local optimization due to the excessively long step size. Finally, the simulation experiment is carried out. The final experimental results show that the proposed algorithm improves the precision of segmentation, reduces the segmentation of the image edge, and improves the anti-noise performance.
Study on Semi Automation in Uniform Faculty Appraisal System

Appraisal system is vital in ensuring the quality of human resources in any organization. Every organization strives for a reliable and efficient appraisal process to ensure timely and productive decisions. In educational institutes, the quality of faculties and teaching process have a direct impact on the performance and ranking of the institute. Traditionally, appraisal process in educational institutes is manual which consumes considerable amount of time and cost. While a fully automated appraisal system can save time and greatly improve the efficiency of the appraisal process, it doesn't provide the discretion to higher authorities for appraisal related decision making. Also, as there is no uniform appraisal process, an in-house automated appraisal system will have a lot of cost involved for development, maintenance and upgradation of the system. Our proposed system is a semi automated uniform appraisal system for educational institutes which works on a combined approach of automation with human intervention.
Students’ experience of critical situations associated with studying: philosophical-psychological analysis

The object of this research is the critical situation that has emerged and develops due to studying; the subject is its experiencing by the students. The article provides related to romanticization of cognition and suggesting self-transcendence version of establishing semantic correlation between consciousness and being of a student in the indicated critical situation for the purpose of increasing the meaningfulness of life. Its realization would allow achieving the synthesis of intelligence and affect in education, unity of education and upbringing due to acquisition of ethical meaning. Research methodology is based on the achievements of logotherapy, namely the principle of indererminism of human existence and humanistic psychology. The scientific novelty consists in the analysis of critical situations related to studying, which have not been previously viewed from the existential perspective, in the context of the theme of existential crisis. The article also proposes an original method for overcoming critical situations through romanticization of cognitive activity.
Multi-sensor Multi-target Tracking Using Labelled Random Finite Sets with Homography Data

This paper proposes a solution for multi-sensor multi-target tracking with homography data using the labelled random finite set with a top-down Bayesian recursion formulation. The proposed method encapsulates multi-target state motion, appearance and disappearance and all aspects of noise, detection and association uncertainty from multiple sensors. This technique naturally incorporates the fusion of multi-sensor measurements to improve the fidelity of multi-target trajectories estimation. A linear Gaussian multi-target model with simulated homography data from multiple sensors is undertaken for verification.
Sentiment Analysis of How Turkish Customers Affected by PayPal Closure

In this study, sentiment analysis is realized about PayPal activities from 2016 till today. Twitter is one of the easiest ways to share opinions via texting, and there are approximately 20 million Twitter users in Turkey. The data set is obtained from Twitter. The Twitter messages in Turkish were manually obtained from the Internet because of being expensive of old tweet data. The data has been passed through the preprocessing, attribute selection and classification stages. At the end of these processes, the data is analyzed using various text mining algorithms, so the success rates achieved are compared and interpreted. Moreover, starting from the PayPal closure, the Web traffic of other Web sites (3pay.com, bkmepress.com.tr, enpara.com, ininal.com, ipara.com.tr, iyzico.com, papara.com, payu.com.tr, troyodeme.com) operating in Turkey was obtained in the same industry with PayPal. This paper also addressed how these companies were affected by this period.
Dynamic, Secure, and Invariant Watermarking System for Multiview Plus Depth Video

Recently, 3D media and its immersive experience became more attractive and widely used due to the development in network technology and decrease the prices of the display devices. The 3D videos that are created by DIBR techniques are getting a view of interest in the last years because of its visual reality and using it in many applications. Since DIBR takes the original colour with a depth view and generated two virtual views left and right, Copyright protection of DIBR is a difficult task because the centre, left-eye, and right-eye views need to be protected. In this paper, a dynamic, secure, and invariant watermark system is proposed to keep the copyright and ensure the authentication of 3D Video, where different watermark bits are embedded in different locations within the 3D video frame. The watermark bits are secured by encrypting it with the modified stream cipher algorithm. Experiment results show the secured watermark system embeds different watermarks with keeping the quality of the 3D Video system and makes the system more tolerant to attacks and the watermarks are extracted from the centre and generated rendered views correctly with minimum error rate after an attack.
Decision Support System in GIS to Find Best Route

Geographical information systems (GIS) become a popular tool in applications that include spatial objects and relations in the real world. The fast-technological expansions in the applications of web-based, simplifying the interaction between GIS and users. A fundamental problem remains available when dealing with a large amount of data in the GIS. Though the GIS strengths in the process of the spatial domain analysis, the systems of GIS are almost uninformed concerning the handling and analysis in the temporal domain. GIS systems find the path between two points or locations depending on time and speed. Therefore, in these days, considerable efforts are guided on this field towards the short time representation on GIS and safe this road. For accomplishing the particular goals of this paper and improve the usefulness of Google maps for the applications of GIS, this work builds a methodological structure to process vector and attribute data and visualise it. The conceptual model utilised here includes three main portions: firstly, the database tier; secondly, the application tier; and thirdly the client tier. This paper proposes a new spatial decision support system in GIS to find the best route between two locations based on different factors; it calculates the shortest and the fastest route depending on either length like other decision support systems or on other features like road safety or quality road by assigning a value to each road using intelligent algorithms (Dijkstra, Astar). The obtained results show decreasing in the time required to find the best result and adding more features as a cost to help the user to select the suitable road.
Peruvian Sign Language Recognition Using a Hybrid Deep Neural Network

Hearing impaired people have the ability to communicate with their hands and interpret sign language (SL), but this builds a communication gap with normal people. There are models for SL recognition that have images sequence RGB as input; however, the movements of the body in 3D space is necessary to consider due to the complexity of the gestures. We built a model for Peruvian sign language recognition (PSL) to Spanish composed by 4 phases; first, the preprocessing phase in charge to process RGB, depth and skeleton streams obtained through the Kinect sensor v.1; second, the feature extraction which learn spatial information through 3 types of convolutional neural network (CNN); third, the bidirectional long short term memory (BLSTM) with residual connections in charge to reduced and encode the information. Finally, a decoder with attention mechanism and maxout network which learn the temporal information. Our proposed model is evaluated in LSA64 and ourself-built dataset. The experimental results show significant improvement compared to other models evaluated in these dataset .
Information visualisation for risk identification in cyber-physical systems

Cyber-physical systems (CPSs) are defined as combining of computational and physical systems (Lee, 2006). Examples may include production systems and also critical infrastructure systems, such as power and water supply, elecommunication networks, transportation, government and emergency services (Ouyang, 2014). Typically, CPSs are highly complex socio-technical structures on several levels of hierarchy, with various interactions between many actors, objects and processes. As such, modelling has been a common approach to abstraction and understanding of such complex CPSs (Ouyang, 2014). By modelling system entities and their interconnections, hierarchically decomposing them into subsystems, one can analyse the behaviour of CPSs as a whole, track their vulnerabilities and prescribe improvements to mitigate potential risks. While in practice traditionally, text, tables and diagrams are used as visual representations for system modeling, when the systems become too complex, these representations introduce information overload for the users. Though Unified Modelling Language (UML) (Fowler & Scott, 2004) and SysML (Friedenthal et al., 2014) diagrams are based on standardised and clearly defined logical conventions (Patou et al., 2018), the visual techniques used are often subpar and do not allow achieving efficient visual communication of underlying information to its users (Sindiy et al., 2013). Information Visualisation is a branch of Human-Computer Interaction that studies “computer-supported, interactive, visual representations of data to amplify cognition” (Card et al., 1999). By encoding information into a changeable medium, it is said that information visualisations improve the cognitive processing power of users, allow fast information search, and assist recognition of patterns (Card et al., 1999). Using the concept of Uncontrolled Flows of Information and Energy (UFoI-E) (Guzman & Kozin, 2018), it is possible to build interactive diagrams to depict threats and hazards, corresponding detection, prevention and containment measures with respect to cyber-, physical and cyber physical layer states of CPSs. In the present study, we discuss the application of Information Visualisation techniques to design a model representation for UFoI-E-related risk identification in CPSs. Through designing an interactive visualisation that displays CPSs and their behaviour under various attack scenarios, our aim is to improve users’ ability to systemise and make sense of potential hazards, their sources and appropriate defense strategies.
Effects of enlarged pupillary expression synchronized with body contact in a pupil response pet-robot

Pupil response is closely related to own affect and interest, and an enlarged pupil makes a good impression on others. Focusing on effects of the pupil response, we have developed a pupil response pet-robot for improving familiarity. This pet-robot can generate pupil response like human by tactile input during body contact. In this study, we conducted the experiment to evaluate the generation timing of enlarged pupillary expression using the developed pet-robot. The result demonstrated that the enlarged pupillary expression synchronized with body contact is effective in improving familiarity between human and pet-robots.
Accounting System Design for Riau Province Sports Assets: Measuring rent system and Environment

Abstract The study aimed at conducting an analysis towards the operation of Athlete Homestead for the National Sports Week in 2012 belonging to Riau Province. Regarding the Finance Operation System in the form of Sub-district Development Program-Regional Public Service Agency (PPK BLUD), the researcher designed the Accounting System for the Regional Public Service Agency of the Rental Flats and Sports Venue. The data analysis in this study used the descriptive qualitative method by describing the accounting system design for the operation of Rental Flats and Sports Venue through the Sub-district Development Program-Regional Public Service Agency (PPK BLUD) with the procedure comprising: designing the rent system and procedure of the Rental Flats and Sports Venue, designing the system of cash management from the rent income, implementing focused-group discussion with the related parties and the government, working on the policy improvement draft for the operation of the Rental Flats and Sports Venue belonging to Riau Province. Based on the result of the study and discussion, it can be concluded that in order to improve the effectiveness of the service and operation of Rental Flats and Sports Venue with sound business practice, it is necessary to implement the Finance Operation System in the form of Sub-district Development Program-Regional Public Service Agency (PPK BLUD). The design system of the Sub-district Development Program-Regional Public Service Agency (PPK BLUD) comprising the organization chart, the transaction proof document, and the financial management procedure.
Cyber Economic Crime: Criminological Studies and Frameworks

This chapter elucidates the conceptual frameworkConceptual framework of cyber economic crimeCyber economic crime envisaged. It throws light on the concept of cyber economic crimeCyber economic crime from a criminological perspectiveCriminological perspective in the Indian context. Various criminological studies on cyber economic crimeCyber economic crime in the Indian context, the response of the criminal justice systemCriminal justice system to it and the legal regime, along with its efficacy is also reviewed. It attempts to explore theories of crime and how cyber economic crimeCyber economic crime is evolving in criminology. The cyber economic crimeCyber economic crime phenomenon is explored from a translational criminological approach. This chapter also discusses the theoretical framework of cyber economic crimeCyber economic crime which explains the concept and phenomenon and response of criminal justice systemCriminal justice system . It maps the technology–crime relationship in relation to cybercrimeCybercrime framework . The methodological and analytical framework to study the efficacy of the system are also explained in this chapter.
Cloud Computing Security in the Aspect of Blockchain

Internet was first developed entirely based on belief, after facing problems of data leakage, manipulations, hackings and so on. All these challenges were accepted and risks were overlooked. The use of internet in the current times is not only limited to systems and mobiles but has spread its footprints in several domains of communication, shopping, work and so on. These are several new gadgets introduced that run on internet. In view of its extensive use and application, maintaining its integrity and protecting it from hackers, misuse, data loss are the points to be focused on. The current model of internet and information security works on closed approach and obscure, in contrast to the previous technology that used to run on the security concepts of open and transparent approach. The use of blockchain methodology is also emerging in the current era. The current article involves the development of a model based on systemic mapping. The results obtained were successful in perceiving the basic necessities in open problems. The proposal of several initiatives for models, frameworks, blockchain-based internet of things (IoT) was dealt in the article. Validation was also performed to test the adherence of all papers to IoT requirements. The current work may be a huge milestone for the development in the areas of trust, privacy and security of the data. The work may be a developmental approach industrially, wherein the organization belonging to different sectors that make use of internet could be benefitted.
Deduplication Enabled Secure E-mail Server on Cloud Environment using Virtual Data Optimizer

More than fifty percent of the world uses email right now. So one of the biggest challenges for a small office admin might be allocating space in a limited hardware environment. In this paper, we focus on the disk space issue of the mail server and set up deduplication enabled secure e-mail server on a cloud environment using virtual data optimizer. We also present the comparison between the normal mail server and the deduplication enabled mail server. In the proposed work, the data that has already been stored (redundant) will not be stored, instead, a reference to the stored copy will be written.
Implementation of content business process reengineering framework in an information system

Abstract The Accounting Information System in the Drinking Water User Association (HIPPAM) is a system that manages the financial flow of an organization. In general, this information system manages customer data, water usage transactions, reports needed on web-based systems. This system has been running for 3 years. The purpose of this research is to produce the requirements for accounting information system software needed. This study uses the Reengineering Software Framework method, namely Business process Reengineering (BPR) which focuses on the reengineering framework of accounting information systems. The results of this study in addition to implementing the framework, also produce standard document content produced at each stage in the BPR. The implications of this study are expected to be used as a reference for future similar studies.