Reviewerly/exHarmony huggingface dataset:
Comparing Hybrid Tool for Static and Dynamic Object-Oriented Metrics

Software metrics are created and used by the distinctive programming associations intended for assessing, guaranteeing program excellence, activity, and software recovery.Software metrics have turned into a basic part of programming growth and are utilized in each period of the product development life cycle.Software metrics essentially measure programming items like plan source code and help us in taking technical and administrative choices.The desire of this examination is to play out the relative investigation of static and dynamic metrics.In any case, software quality characteristics, for example, performance, execution time and dependability rely upon the dynamic exercises of the product artifact.Due to every one of these variables, we favor dynamic metrics instead of customary static metrics.With the assistance of customary static metrics, we are not capable to analyze different actualities of programming.There are various types of this OO static and dynamic equipments.In this paper we have played out a similar investigation of different OO static and dynamic metrics tools and find out the hybrid too is counted as best one extraction of both, static and dynamic characteristics from mobile Android applications.The source code and a Docker compartment is utilized by open source tool in only three phases pre-static, static and dynamic examination.
Instant Messaging Forensic Analysis on Android Operating System

WhatsApp (WA) is one of the Instant Messaging (IM) applications used by many people. WA and mobile devices cannot be separated from the possibility of misuse such as for criminal purposes. To handle a crime case involving a mobile device, the investigator needs to use suitable forensic tools and mobile forensic methodology so that the results can be approved and accepted by the law. This research conducted a forensic analysis of WA on unrooted Samsung C9 Pro devices using Belkasoft Evidence, Oxygen Forensic, Magnet AXIOM, and WA Key/DB Extractor. This research gives suggestion about forensic tools for conducting forensic analysis related to WA. From the research can be seen that there is no tool that can be used to obtain all the WA artifact parameters used in the research. The combination of the Magnet AXIOM and WA Key/DB Extractor is known to get the best results and meets the WA artifact parameters.
MOBILE ACCESSIBLE RICH INTERNET WEB APPLICATION ENHANCED WITH AMP PUBLISHING TECHNOLOGY

Web applications are becoming more and more complex in an continuously growing Internet and Intranet networks.Nowadays accessibility should not be considered as a barrier to innovation and the possibility of developing optimized accessible solutions in order to favor the reduction or elimination of the gap between those who can independently access web resources and those who can not (in particular people with visual impairment) is a requirement that is indispensable for the modern society.This paper presents a concept and proposes a solution to develop a mobile accessible rich internet web application, presenting its architecture, development environment, as well as the adaptive and responsive capabilities using the AMP (Accelerated Mobile Pages) publishing technology and its advantages.
Influence of Multisensory Stimulation Environmental Designs for Day Services and Healing Environment of Elderly People with Dementia

The number of patients with global dementia has reached about 50 million.According to the Ministry of the Interior's July 2017 demographic data, the number of people with dementia over the age of 65 in Taiwan currently reaches 250000.The literature at home and abroad shows that multisensory helps with cognitive and behavioral improvements; therefore, 11 participants were invited to participate in the study in order to explore how the day services in Taiwan use multisensory-stimulated environments to slow cognitive deterioration and achieve physical and mental recovery.Experts include doctors, functional therapists, architects, and social workers.The following conclusions were reached: First, the targets of the multisensory stimulation environment are the intervention of nature, past life experiences, the memory and beliefs of the culture, and characteristics of Taiwan's various regions.Second, the interior design includes "fixed" and "adjustable" models and can be converted according to the needs of individuals.Third, multisensory stimulation distributed in day services are more able to respond to the care needs of different aged people than an independent sensory room.
Hybrid Kalman Filtering Algorithm With Stochastic Nonlinearities and Multiple Missing Measurements

In this paper, the hybrid Kalman filter is designed for a class of special nonlinear systems where the state equation is nonlinear and the measurement equation is linear. The stochastic nonlinearities, which are described by statistical means, are considered in the system model to reflect the multiplicative stochastic disturbances. The phenomenon of multiple missing measurements is depicted by a set of the Bernoulli distributed random variables with known conditional probabilities and the missing rates of every sensor are different. We need to compute the parameters to reduce the effects of the stochastic nonlinearities and the phenomenon of multiple missing measurements. In addition then, based on the recursive projection formula and the unscented transformation approach, a new hybrid Kalman filtering algorithm is proposed such that, for the stochastic nonlinearities and multiple missing measurements, the filtering error is minimized. By solving the recursive matrix equation, the filter gain matrices and the error covariance matrices can be obtained and the proposed results can be easily verified by using the standard numerical software. We finally provide a numerical example to show the performance of the proposed approach.
Robust Unsupervised Multi-View Feature Learning With Dynamic Graph

Graph-based multi-view feature learning methods learn a low-dimensional embedding of the data by modeling the affinity correlations with a graph to reduce the dimension. However, the learned low-dimensional representation relies on a fixed graph that is potentially inaccurate and unreliable. Besides, the graph construction and the projection matrix leaning are separated into two independent processes. To tackle the problems, we propose a robust unsupervised multi-view feature learning method with a dynamic graph. The dynamic graph structure is constructed adaptively and the robust projection matrix is learned simultaneously. Specifically, we adaptively learn a dynamic graph which captures the intrinsic multiple view-specific relations of samples. Robust projection matrix learning suppresses the adverse noises and preserves the intrinsic graph structure. Moreover, the assigned weights are learned automatically for each view without any extra parameter. We finally develop an efficient alternative optimization algorithm to solve the objective formulation. The extensive experiments conducted on several multi-view datasets demonstrate the effectiveness of our proposed method.
Accelerated RRT* and Its Evaluation on Autonomous Parking

Finding a collision-free path for autonomous parking is usually performed by computing geometric equations, but the geometric approach may become unusable under challenging situations where space is highly constrained. We propose an algorithm based on Rapidly-Exploring Random Trees Star (RRT*), which works even in highly constrained environments and improvements to RRT*-based algorithm that accelerate computational time and decrease the final path cost. Our improved RRT* algorithm found a path for parallel parking maneuver in 95 % of cases in less than 0.15 seconds.
IMPROVING STUDENTS� SPEAKING SKILL BY USING MULTIMEDIA PRESENTATION STRATEGY

Multimedia presentation strategy is one of strategies that can be used for developing students� speaking skills. Therefore, this research is intended to describe how multimedia presentation strategy can improve the eighth graders� speaking skills. A collaborative classroom action research design was employed in this research. This action research was conducted in four main steps, namely planning, implementing, observing, and reflecting. To collect the data, some instruments, i.e. students� oral performance test, the observation checklist, field notes, and questionnaire, were used. The result showed that the students� speaking performance improved from 64.29% in Cycle 1 to 100% in Cycle 2. Meanwhile, the students� involvement has achieved the criteria of success (100% of students) in Cycle 1. Here, they could fulfill at least 2 out of 4 indicators in Cycle 1 and Cycle 2. In addition, the students� perception towards the implementation of Multimedia Presentation strategy was 94.29% and only 5.71% of students who were not interested in the implementation of Multimedia Presentation strategy in teaching speaking skills. Hence, it can be concluded that Multimedia Presentation strategy can improve students� speaking skill.
WSN-WCCS: A Wireless Sensor Network Wavelet Curve Ciphering System

With wireless sensor network (WSN) wide applications in popularity, securing its data becomes a requirement. This can be accomplished by encrypting sensor node data. In this paper a new an efficient symmetric cryptographic algorithm is presented. This algorithm is called wireless sensor network wavelet curve ciphering system (WSN-WCCS). The algorithm idea based on discrete wavelet transformation to generate keys for each node in WSN. It implements on hierarchical clustering WSN using LEACH protocol. Python programming language version 2.7 was used to create the simulator of WSN framework and implement a WSN-WCCS algorithm. The simulation result of the proposed WSN-WCCS with other symmetric algorithms has shown that its execution time fastest among AES, 3DES and DES 15%, 55% and 17%.&#x0D;
Methodology for Developing Digital Maturity Model of Higher Education Institutions

Achieving any of the three primary missions of higher education institutions (HEIs) (teaching, scientific production and contribution to the society) is today almost impossible without information and communication technologies (ICT).Because of this, analyzing the maturity of ICT use at HEIs becomes useful and necessary for two main reasons: (1) HEIs can determine how digital mature they are based on how ready they are for different ICT challenges, and (2) HEIs can determine what ICT areas and fields they need to improve.There are many frameworks for measuring the digital maturity, but none for HEIs.In this paper, the methodology for developing a digital maturity model for HEIs (DMMHEI) is presented.DMMHEI consists of two parts: (1) a framework that covers areas and elements which influence digital maturity and (2) a two-component instrument used to assess the HEI's digital maturity.The methodology for creating such a model is based on paradigm called design science research (DSR).Once created, the methodology can be applied in different higher education systems in different countries to create DMMHEIs that are adjusted to different contexts.
Analysis of economic viability with the use of monte carlo simulation for microgeneration of photovoltaic energy

A series of public policies are being adopted worldwide to seek greater participation of renewable energy sources in the energy matrix. Brazil is a country that has a predominantly renewable energy source, with hydroelectric energy being responsible for the largest portion, but with enormous potential to be exploited for solar energy. The objective of this study was to carry out an analysis of the economic viability of a photovoltaic matrix in the distributed microgeneration model from the residential consumer perspective. Through the Monte Carlo simulation, 10.000 iterations were performed and the NPV was calculated in each of them, then counted to recover the corresponding output probability distribution and verified the NPV probability to be greater than zero. The developed method has proved to be a reliable tool to support decision making and can be applied to several scenarios. The scenario adopted for the design of the photovoltaic system presented a 95.2% probability of returning with an NPV above zero and this makes it economically feasible. The main contribution of this paper is the replicability of the methodology used for other economic analysis studies.
DEVELOPMENT OF ANDROID-BASED PROTADROID APPLICATION IN PRONUNCIATION PRACTICE LEARNING FOR UNDERGRADUATE STUDENTS

The research aims at describing the development of PROTADROID, an Android Table Program, to assist learners� pronunciation practice by using non-native English speakers and investigating the affective aspects of using the PROTADROID. The method used was Research and Development (R&amp;D) which has been chosen to produce a product and test the affective aspects of the product. In order to find out the affective aspect, a questionnaire was applied as an instrument in the data collection. Thirty participants were randomly selected from two Pronunciation Practice classes at Universitas Indraprasta PGRI Jakarta. Based on the development phases, PROTADROID is valid and practical. Further, the four affective aspects indicate that satisfaction is 88.2% (very satisfied), interest is 93% (very interested), attention is 76% (positive), and involvement is 85% (positive). Hence, it can be concluded that students generally understand and are capable of operating PROTADROID application with high interest.
Reengineering Framework to Enhance the Performance of Existing Software

Term reengineering refers to improve the quality of the system.Continues maintenance and aging degrade the performance of the software system.Right approach and methodology must be adapted to perform reengineering.With lack of right approach and methodology, reengineering itself will be costly and time-consuming.For the process of reengineering main concerns include when to reengineer, how to estimate cost, the right approach for reengineering, and how to validate software enhancement.This research paper proposed a framework to identify the need for reengineering, to estimate the cost of reengineering, and to validate software quality improvement.Research work used the agile methodology to perform tasks of reengineering.Reengineering needs are identified using prediction based decision tree approach.Reengineering is applied using the agile Scrum methodology.Cost estimation is done using story point estimation.Performance analyses are done using complexity measures analysis of the internal design metrics and mean time to execute metric.The research used various automated tools like CKJM ver1.9,Rapid Miner studio ver7.1, and Net beans7.3framework.
ONTOLOGY OF UBIQUITOUS LEARNING: WHATSAPP MESSENGER COMPETES SUCCESSFULLY WITH LEARNING MANAGEMENT SYSTEMS (LMS) IN GHANA

The purpose for this study was to add to the body of research and to further examine how mobile learning can help remedy the limitations e-learning poses for students who live in Ghana with lack of access to electrical power and internet connectivity issues.Qualitative approach was employed with a total sample size of 807 students, composed of 58 percent male and 42 percent female.When the question was asked about students' willingness to purchase a new mobile device if they thought it would improve their performance at school; 87 percent indicated "yes."About 95 percent of the students indicated that having course materials such as lecture notes, practice quizzes, videos, and PowerPoints available on their mobile devices would be beneficial for their study process.The participants stated that they would be comfortable to allow their lecturers to contact them through their mobile devices.They also indicated that, apart from using their mobile phones to make and receive calls, texting using WhatsApp Messenger was the activity they often engaged in with their mobile phones.In this study, I made several assertions that, for WhatsApp Messenger to work properly in any classroom in Ghana, there must be intentional designs and step-by-step approach to teach both the faculty and the students how to use the application to achieve the utmost outcomes.I, therefore, concluded that using WhatsApp Messenger in a blended mobile learning context may help resolve many of the contextual difficulties that plague students in a e-learning situation in Ghana.
Multi-info Fusion Based Video Recommendation System

Abstract The great progress in recommendation system help users discover more interesting items that satisfy their appetites. Considering the video recommendation is an increasing popular sub-field of recommendation, but the traditional recommendation techniques such as Collaborative Filtering and Content-based model simply exploit one information source that limits its performance. In this paper, we proposed a Multi-info fusion based recommendation system which integrates several different information sources to comprehensively model the similarity between videos. The information sources including the common user-item rating data and video’s textual content that consists of video’s genres and textual description. Experimental results on a public dataset show that the proposed system is of high quality and achieves significant improvements over the traditional Collaborative Filtering techniques.
A Study on the Impact of Electronic Media in Relation to Social Awareness among High School Students in Coimbatore District

Electronic media has a powerful impact on everyone’s life today, particularly younger generation of students. They are addicted to electronic media especially the ‘monster’, Internet, mainly through mobile phones. They are totally immersed in the mobile phones being unaware of what is happening around them at that particular moment. Recently, we came across students who played deadly online games like ‘The Blue Whale Challenge’ and ‘Momo’ which ended in taking the life of students. This could have been avoided if the students had avoided the use of internet and if their parents were “media literate”. This was the background of this proposal. The students should spend more time on studies so that they can score good marks, improve their knowledge and understand about the society. The students should be aware of what is happening in and around the society they live in. This can be done by reading daily newspapers and most importantly electronic media like Television, Radio and internet connected mobile phones in a purposeful way. The social problems like honor killings, gender inequality, sanitation and cleanliness, pollution etc and their happenings are easily and quickly available to them. The students should use this opportunity and update themselves and analyze the good and bad effects of each. This proposal studies the impact of electronic media in relation to social awareness among high school students in Coimbatore District.
pRate: Anonymous Star Rating with Rating Secrecy

We introduce pRate, a novel reputation management scheme with strong security and privacy guarantees for the users and their reputation scores. The reputation scores are computed based on the (aggregated) number(s) of stars that users receive from their raters. pRate allows users to advertise privacy-friendly statements about their reputation when searching for potential transaction partners. Ratings can only be submitted by partners who have been initially authorised by the ratee and issued a rating token. The scheme is managed by a possibly untrusted reputation manager who can register users and assist ratees in updating their reputation scores, yet without learning these scores. In addition to ensuring the secrecy of the ratings, a distinctive feature of pRate over prior proposals, is that it hides the identities of raters and ratees from each other during the transaction and rating stages. The scheme is built from a number of efficient cryptographic primitives; its security is formally modeled and proven to hold under widely used assumptions on bilinear groups.
Sharp edges, blunt objects, clean slices. Exploring design research methods

(2019). Sharp edges, blunt objects, clean slices. Exploring design research methods. The Design Journal: Vol. 22, Running with Scissors: 13th International Conference of the European Academy of Design, Dundee, 10-12th April, 2019, edited by Louise Valentine, Joanna Bletcher and Leon Cruickshank, pp. 2267-2273.
Fractional generalized multiview discriminative projections and extension for multiview learning

In multi-view learning, there are a large number of small sample size problems in which the number of training samples is less than the dimension of feature vectors. For such problems, generalized multi-view linear discriminant analysis (GMLDA) usually fails to achieve good learning performance for many classification tasks. In this paper, we propose a new multi-view feature extraction method via fractional spectral modeling, namely, fractional generalized multi-view discriminant analysis (FGMDA), which is able to subsume GMLDA as a special case. In addition, an uncorrelated FGMDA (UFGMDA) is further proposed, where the extracted features are mutually uncorrelated in each view and thus have minimum redundancy. Extensive experimental results on visual recognition demonstrate the superiority of our proposed methods over the state-of-the-art methods in terms of classification accuracy.
The effects of time management strategies on employee’s performance efficiency: Evidence from Jordanian firms

Time management is very important for human being and organizations and it is a precious asset for achieving desire performance and accomplish duties.Fresh water is also another important valuable resource on the earth.Water provides many benefits for organizations, nature, human and plays an important role for development of economies.The aim of this study is to identify the effects of time management strategies on employee performance in Yarmouk Water Company in Jordan.In this study, time management strategies consists of five factors; namely fulfillment obligations strategy, time organizing strategy, utilization of resources, time planning strategy and priorities status strategy.The study population consists of 66 directors and heads of departments working for Yarmouk Water Company in Jordan.The study sends a designed questionnaire in Likert scale to all the population, manages to receive 62 and by excluding incomplete questionnaires 57 questionnaires are analyzed representing approximately 86% of the survey.Using some statistical tests, the study indicates that all five factors; namely fulfillment obligations strategy, time planning strategy, utilization of the resources, time organizing strategy and priorities status strategy of resources positively influence on employee performance.There is also a positive altitude from study sample towards time management strategies.As recommendation, the employees must distinguish between important and unimportant tasks, the employees should determine the goals before starting the work, the managers must delegate some tasks to subordinates, and the employees pay attention to complete their work on time, The researcher recommends conducting further studies about the impact of time management strategy on employees' performance efficiency from the view of customers perspective.