Reviewerly/exHarmony huggingface dataset:
Manajemen Perpustakaan Universitas Bengkulu Untuk Meningkatkan Pelayanan Sosial Terhadap Pemustaka Melalui Analisis Diagram Ishikawa

The purpose of this study is to get an overview and explanation of the various weaknesses of Bengkulu University Library management to improve social services to users by using Ishikawa diagram analysis consisting of Manpower/People, Materials, Methods/Processes, Machines/Equipment, Measurement/Minutes and Market/ User. This research method uses a qualitative descriptive method using a qualitative approach. Data were collected through in-depth interview techniques, observation, and documentation studies as well as Focus Group Discussion. The results of the study found that there were still many weaknesses in the administration, processing, circulation services and information technology. This weakness is related to human resources, materials and equipment, machinery/equipment, funds, and time and market (users). The problem that becomes this weakness is the lack of policy from the leadership to place quality human resources in the Bengkulu University Library UPT and provide opportunities for librarians and librarians to take part in internships and various training/workshops related to literature and the lack of budget allocations to repair and improve the quality of human resources, materials/equipment, machines/equipment, and other facilities and infrastructure that are damaged and not in accordance with the times
The entanglement and second-order coherence function in a two-atom nonlinear Jaynes-Cummings model

Abstract The influence of the Kerr nonlinearity on the two two-level atoms entanglement is investigated in Jaynes–Cummings model (JCM), so that one of atoms is inside the cavity field and the other atom is outside it. We show that the entanglement of atoms increases with the decrease of the phase decoherence rate or Kerr coefficient, when considering the effect of external environment. Then due to the statistic properties of the anti-bunching effect of photons are related to entanglement, the nonlinear JCM is examined theoretically to analyze the bunching or anti-bunching effect by using the second-order coherence function. We find that the second-order coherence function decreases with the Kerr coefficient. Our results show that the field reflects the stronger bunching effect with the bigger average photon number.
Indoor Navigation of Unmanned Grounded Vehicle using CNN

This paper presents a hardware and software architecture for an indoor navigation of unmanned ground vehicles. It discusses the complete process of taking input from the camera to steering the vehicle in a desired direction. Images taken from a single front-facing camera are taken as input. We have prepared our own dataset of the indoor environment in order to generate data for training the network. For training, the images are mapped with steering directions, those are, left, right, forward or reverse. The pre-trained convolutional neural network(CNN) model then predicts the direction to steer in. The model then gives this output direction to the microprocessor, which in turn controls the motors to transverse in that direction. With minimum amount of training data and time taken for training, very accurate results were obtained, both in the simulation as well as actual hardware testing. After training, the model itself learned to stay within the boundary of the corridor and identify any immediate obstruction which might come up. The system operates at a speed of 2 fps. For training as well as making real time predictions, MacBook Air was used.
ExitSniffer: Towards Comprehensive Security Analysis of Anomalous Binding Relationship of Exit Routers

Abstract Tor exit relays are operated by volunteers and the trustworthiness of Tor exit relays need to be revisited in a long-term manner. In this paper, we monitored the Tor network by developing a fast and distributed exit relay scanner (ExitSniffer) to probe all exit relays over a period of 16 months continuously, seeking to expose the anomalous binding relationship phenomena of exit routers simply by comparing the returnIP and consensusIP. We totally find 1983 malicious exit relays which average contribute 10.12% bandwidth of total Tor exit relays bandwidth monthly, resulting tremendous threaten for Tor user’s anonymity according to the current path-relay selecting algorithm. There exits two types of anomalous binding relationship consists 35 exit relay families, with different size ranging from 2 to 230, which are neither announced in the consensus document or detected by the Tor network.
Flooding

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 58, Issue 2 p. 23326A-23326B Policy and Practice Flooding First published: 08 April 2021 https://doi.org/10.1111/j.1467-6346.2021.09926.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume58, Issue2April 2021Pages 23326A-23326B RelatedInformation
Matching Regular Expressions on uncertain data

Abstract In this paper we study regular expression matching in cases in which the identity of the symbols received is subject to uncertainty. We develop a model of symbol emission and uses a modification of the shortest path algorithm to find optimal matches on the Cartesian Graph of an expression provided that the input is a finite list. In the case of infinite streams, we show that the problem is in general undecidable but, if each symbols is received with probability 0 infinitely often, then with probability 1 the problem is decidable.
Role of Ethical Behavior and Employee Performance: An Analytical Study

Moral consistence is the need of great importance since it keeps from doing whatever is deceptive for an association and workers' turn of events.The design and skeleton of business relationship is vital to consistently address the troublesome issues, which emerge from the contrast among execution and representatives' responsibility.This paper inspects the impacts of good habits and moral conduct on worker responsibility and execution in India.The review was led with 200 respondents, however 194 were viewed as substantial for additional examination.Auxiliary information just as reported proof was utilized for the information assortment.The testing method was done haphazardly.The information gathered were broke down through Structural Equation Modeling and upheld by elucidating insights.Every thing depended on a point scale.Latest technique was embraced in calculating the speculations.The information was given the utilization of statically package for social sciences and Structural Equation Modeling was used.Outcome shows huge connection between moral norms and hierarchical execution exists in India.
You May Enter: automated ID checks face scrutiny [Olympic Games Facial Recognition]

This article discusses the use of a contactless AI-driven facial-recognition system being used for ID checks and queue management at the Tokyo Olympics 2020. This will be used for staff, volunteers, athletes and media who have already given their consent, not the general public. The system is based on NEC NeoFace Watch technology, and uses generalised matching face detection method, along with an artificial neural network model called the generalised learning vector quantisation algorithm, to search and select facial features for facial matching. The perturbation space method then coverts the two-dimensional images into three dimensions, allowing rotation of the candidates head. Further processing with illumination filters and adaptive regional blend matching method, minimises the impact of local changes such as hats etc. providing a better photograph match against a central database image. An IC chip embedded security lanyard pass, containing personal ID and authentication details will also be used. Data privacy concerns are discussed, especially due to the current use of NEC technology in criminal surveillance applications, with the Tokyo 2020 organisation responding with a promise to comply with local privacy law. Possibilities of using the technology to enhance Covid-19 security and aid in contact-tracing for the event is also discussed.
Towards Self-Autonomy Evaluation using Behavior Trees

Adjustable autonomy is an attractive paradigm to deploy autonomous robots that require occasional interaction with humans or partner robots. In multi-robot applications, autonomy levels such as teleoperation and fully autonomous are extended to team levels, and depending on the task might have complex hierarchical relations.This paper presents a preliminary work on multi-robot coordination strategy based on evaluating the robot’s level of autonomy. With appropriate assumptions, choosing the level of autonomy can be interpreted as a cooperative planning problem. To this end, we propose to encode the robot’s task and motion plans as a Behavior Tree (BT) to monitor the execution and react to external disturbances. Our approach combines an informative path planning with BT synthesis to obtain a plan that allows a robot to explore and act depending on the uncertainty in an environment representation. We demonstrate how a robot can switch between the single and cooperative execution depending on the exploration’s outcome in a navigation among movable objects scenario.
IMPROVING ENGLISH SKILLS OF YOUTH ORGANIZATIONS IN PAMMANA VILLAGE THROUGH AUDIO-VISUAL MEDIA

Pammana is a village in Kabupaten Wajo, Sulawesi Selatan, where the majority of the residents work as farmers. With a low income, parents' capacity to send their children to a higher level of education is always hampered. Based on the aforementioned circumstances, the writer and team are interested in delivering English language training for the youth organization utilizing an audio-visual medium. The goal of this program was to make the training sessions more exciting and accessible to the participants through the use of audiovisual media. This English training exercise has a positive impact on the Pammana village youth group. These favorable effects might be seen as a result of the training. The learning results of the training participants improved after only a few months of following the training procedure using the audio-visual medium. Before attending the training, the trainees thought English was a difficult language to learn; however, after attending the training utilizing audio-visual media, the trainees began to feel more at ease, and they thought learning English through audio-visual media was enjoyable.
Gyroscope Implementation in Arcade Shooter Game “Full Metal Parabellum”

“Full Metal Parabellum” is a three-dimensional rail shooter game for smartphone with an Android Operating System. This game was created using Unity 3D game engine for Android platform. In this game, player will have to defeat all enemies in every stages. Player can move the in-game camera and aim by moving the smartphone around. This game is tested by black box testing, alpha testing, and beta testing with a survey distributed to 30 respondents. The survey shows that Full Metal Parabellum is a fun game that easy to play, and the gyroscope feature that was implemented in this game is working as planned.
Evaluation of metal objects surface parameters informativity using 2D­ and 3D­data For classification of fractures

This article describes evaluation the information content of metal objects surfaces for classification of fractures using 2D and 3D data. As parameters, the textural characteristics of Haralick, local binary patterns of pixels for 2D images, macrogeometric descriptors of metal objects digitized by a 3D scanner are considered. The analysis carried out on basis of information content estimation to select the features that are most suitable for solving the problem of metals fractures classification. The results will be used for development of methods for complex forensic examination of complex polygonal surfaces of solid objects for automated system for analyzing digital images.
Construction of Smart Campus in Universities Under the Background of Big Data Intelligence

“Smart campus” refers to the integration of different application service systems to create an intelligent teaching and learning environment, and based on the Internet, to build a life suitable for university management, teaching, research, and life. This article mainly introduces the construction of intelligent campus in colleges and universities in the context of big data artificial intelligence. This article proposes a smart campus construction system for the school’s lack of overall planning, lack of standards and information rules, lack of comprehensive system planning, and lack of comprehensive decision-making and information services. In addition, this article researches and explores the construction of smart campuses in well-known universities at home and abroad, as well as the study of big data and intelligent systems. The experimental results of this paper show that with the construction of future smart campuses, traditional construction management theory has certain problems in the construction model. Combining the mature project management theory with the latest information technology, and proposing a management model for the smart campus scene in colleges and universities has certain theoretical and practical significance.
Petrography, multi-element geochemistry and multivariate statistical analysis of residual laterites from the Wa-Lawra Belt, NW Ghana: Implications for identifying pathfinder elements of gold

Abstract The Wa-Lawra greenstone belt is located in northwest Ghana and is largely dominated by Birimian metavolcanics, volcaniclastics, and metasediments with some intrusive suites. These rocks are capped by mineralized laterites in most localities, especially in the Kunche area. Previously, regolith materials such as laterites and soils from mixed sources were used to identify pathfinder elements of gold in the belt. However, in-situ (residual) laterites will better represent their underlying formations than transported laterites because transported laterites may contain extraneous sources of element enrichment caused by pollution, which is unrelated to gold mineralization. Therefore, in this study, petrographic studies of residual laterites and statistical analyses of trace element geochemical data of the residual laterites were performed to identify the pathfinder elements of gold in the Wa-Lawra greenstone belt. Six fresh residual laterite samples were used for the petrographic studies, which revealed the dominance of quartz, amphibole, clinopyroxene, hematite, goethite, magnetite, sphalerite, and pyrite. These minerals contribute Fe, S, Ca, Zn, and other elements to the laterites. The geochemical data of 12 residual laterite samples were used for statistical analysis. P-P plots revealed deviations from the normal distribution and outliers in the dataset. Spearman’s correlation revealed that Cu, Ag As, Pb, Fe, and S have moderate-strong positive correlation with Au. Hierarchical cluster analysis revealed that there are 3 multi-element associations; a) Fe, Pb, Mn, S, Co, Au, Cr, Cu, Ni, Ag; b) Ti, Zr, Sr, Ca, and c) Rb, Y, Zn, As. Factor analysis shows that the occurrence of Pb, Cu, Ag, and As is directly related to the occurrence of Au. Thus, the best multi-element association of Au for exploration purposes is Pb, Cu, Ag, and As similar to the previous findings. Single and multi-element anomaly mapping revealed that geochemical anomalies involving these elements are mainly found around the northern and southern parts of the study area on hills and ridges. The results of this study confirm what has been reported by the previous studies. However, it is recommended that gold exploration in similar terranes should be focused on areas dominated by residual laterites since they will always give a true reflection of geochemical anomalies than transported laterites.
Prototyping Feed-Forward Artificial Neural Network on Spartan 3S1000 FPGA for Blood Type Classification

In this research, a Feed-Forward Artificial Neural Network design was implemented on Xilinx Spartan 3S1000 Field Programable Gate Array using XSA-3S Board and prototyped blood type classification device. This research uses blood sample images as a system input. The system was built using VHSIC Hardware Description Language to describe the feed-forward propagation with a backpropagation neural network algorithm. We use three layers for the feed-forward ANN design with two hidden layers. The hidden layer designed has two neurons. In this study, the accuracy of detection obtained for four-type blood image resolutions results from 86%-92%, respectively.
Secured 6-Digit OTP Generation using B-Exponential Chaotic Map

Today, the traditional username and password systems are becoming less popular on the internet due to their vulnerabilities.These systems are prone to replay attacks and eavesdropping.During the Coronavirus pandemic, most of the important transactions take place online.Hence we require a more secure method like one-time password generation to avoid any online frauds.one-time password generation has multiple techniques.With one-time password generation it has become possible to overcome the drawbacks posed by the traditional username and password systems.The one-time password is a two-way authentication technique and hence secure one-time password generation is very important.The current method of one-time password generation is time-consuming and consumes a lot of memory on backend servers.The 4-digit one-time password system limits its uses to 9999 users and with advance deep learning approaches and faster computing it is possible to break through the existing one-time password generation method.Hence we need a system that is not vulnerable to predictive learning algorithms.We propose a 6-digit one-time password generation technique based on a B-exponential chaotic map.The proposed 24-bit (6-digit) long one-time password system offers 120 times higher security as compared traditional 4-digit systems, with a faster backend computing system that selects 24-bits out of 10 8 bits in 89 seconds at 1.09 Kilo-bits per milliseconds.The proposed method can be used for online transactions, online banking, and even automated teller machines.
CEIR based Smartphones Anti-stolen System: SASSCEIR

Mobile stolen has become a big problem all over the world. International Mobile Equipment Identity (IMEI) is a unique number which used to identify mobile device throughout the world. An IMEI is to be made non editable number which cannot be reprogrammed. Central Equipment Identity Register (CEIR) is systems that registers the stolen/theft mobiles and update all TSP’s local EIR with blacklisted IMEI. Many countries have enabled CEIR system to terminate mobile stolen problem. Despite of many features CEIR is not able to stop working of smartphone on Wi-Fi networks. Current CEIR system block the mobile devices by placing stolen devices in blacklist hence telecom services get disabled for blacklisted mobiles. This paper represents capacity of CEIR deployment in telecommunication network system and demonstrates the existing problem in CEIR. This paper also focuses on our proposed solution SASSCEIR, for complete blocking of smartphones.SASSCEIR will help to alleviate the stealing of smartphones by making them completely futileto use. We have performed test cases to analyze SASSCEIR concept by developing android based apps prototype of SASSCEIR and mobile side TESTSASSCEIR app to communicate with SASSCEIR app.
WhatsApp for Educational Purposes: Exploring Omani English Language Teachers` WhatsApp Use and Corresponding Beliefs

A growing body of research accentuates the potential of adopting social media platforms, including instant messaging applications in formal learning. This study aims to explore Omani English language teachers' use of WhatsApp in their teaching as well as their perspectives regarding its use. Twelve Omani English language teachers from various government schools were interviewed and a number of WhatsApp artifacts were collected. The data was analyzed using Thematic Content Analysis and focused on both the teachers’ beliefs and their use of the software. The study revealed that teachers’ employed WhatsApp for a number of educational purposes such as managing their classes, communicating with parents, improving particular language skills and providing ongoing assistance to support in-home learning. In addition, WhatsApp emerged as a means of developing and maintaining a Virtual Community of Practice (VCoP) in the participants' professional contexts which allowed for sustained continuous professional development of the participants. The research uncovered largely positive views regarding WhatsApp use to facilitate both English language teaching and promote out-of-class learning. The participants confirmed the user-friendly and practical aspects of the application which facilitates both teaching and learning processes. The practical implications of these findings are to support teachers in their agentive role and allow for the bottom-up mobile technology-reliant initiatives that support achieving educational results.
Computing Bayes factors from data with missing values

The Bayes factor is increasingly used for the evaluation of hypotheses. These may betraditional hypotheses specified using equality constraints among the parameters of thestatistical model of interest or informative hypotheses specified using equality andinequality constraints. So far no attention has been given to the computation of Bayesfactors from data with missing values. A key property of such a Bayes factor should bethat it is only based on the information in the observed values. This paper will show thatsuch a Bayes factor can be obtained using multiple imputations of the missing values.