Reviewerly/exHarmony huggingface dataset:
Quantum Computing Memoir: Quantum Mechanics, Architectural Developments and its Future

Abstract: Quantum computing is a cutting edge method of computing that depends on the study of quantum mechanics and its staggering marvels. It is an excellent blend of physical science, arithmetic, computer science and data hypothesis. It gives high computational force, less energy utilization and remarkable speed over old-style computers by controlling the conduct of little actual articles for example minuscule particles like iotas, electrons, photons, and so forth Here, we present a prologue to the crucial ideas and a few thoughts of quantum computing. To comprehend the true abilities and difficulties of a pragmatic quantum computer that can be dispatched financially, the paper covers the engineering, equipment, programming, plan, types and calculations that are explicitly needed by quantum computers. It reveals the ability of quantum computers that can affect our lives in different perspectives like network safety, traffic enhancement, medications, man-made reasoning and some more. Limited scope quantum computers are being grown as of late. This improvement is going towards an incredible future because of their high possible abilities and headways in continuous exploration. Prior to zeroing in on the meanings of a broadly useful quantum computer and investigating the force of the new emerging innovation, it is smarter to survey the beginning, possibilities, and restrictions of the current conventional computing. This data helps us in understanding the potential difficulties in creating outlandish and serious innovation. It will likewise give us an understanding of the continuous advancement in this field. Keywords: Realtime Systems, Programming Processors, Quantum Theory, Quantum Computing
Včasnostredoveká keramika z hradiska Bojná I-Valy

Early Medieval Pottery from Hillfort Bojná I-Valy.The aim of presented study is to characterise ceramic set from the early medieval hillfort Bojná I-Valy, which is according to the chronologically sensitive findings dated from the 9 th c. to the beginning of 10 th c.The first part of contribution is focused on analysis of quantitative and qualitative parameters of set which enables to define its informative ability and identifies post depositional processes which appeared at the site.In the second part we tried to single out characteristic groups of vessels on the basis of typology of mouth and decoration by the means of correspondence and cluster analysis.The contribution is the differentiation of post depositional processes which influenced the informative ability of set and the characteristic of ceramics of 9 th and beginning of 10 th c.
Performance of Typical and Superior Face Recognisers on a Novel Interactive Face Matching Procedure

Unfamiliar simultaneous face matching is error prone. Reducing incorrect identification decisions will positively benefit forensic and security contexts. The absence of view-independent information in static images likely contributes to the difficulty of unfamiliar face matching. We tested whether a novel interactive viewing procedure that provides the user with 3D structural information as they rotate a facial image to different orientations would improve face matching accuracy. We tested the performance of ‘typical’ (Experiment 1) and ‘superior’ (Experiment 2) face recognisers, comparing their performance using high quality (Experiment 3) and pixelated (Experiment 4) Facebook profile images. In each trial, participants responded whether two images featured the same person with one of these images being either a static face, a video providing orientation information, or an interactive image. Taken together, the results show that fluid orientation information and interactivity prompt shifts in criterion and support matching performance. Because typical and superior face recognisers both benefited from the structural information provided by the novel viewing procedures, our results point to qualitatively similar reliance on pictorial encoding in these groups. This also suggests that interactive viewing tools can be valuable in assisting face matching in high performing practitioner groups.
A Scheme to Identify Suspicious Activity on Video

The structure is intended to help detect suspicious traffic authorities within the wide range of video information contained in the current inevitable observation video. reconnaissance inescapable this time. people talk about the thoughts and approaches to address near the hole of low-stage semantics between the motor and the complement is obvious from the video information and perception of human common. evaluation of the occasion depiction and techniques for utilising phrases which are recognised, and later on it is recommended that exam be carried out to enhance this shape. those examinations are applied as an knowledge to exchange statistics on the first-rate system you could rely upon whilst structuring a tale utilizing mechanical get collectively.
MagIK: a Hand Tracking Magnetic Positioning System based on a Kinematic Model of the Hand

In this paper we present a hand tracking system based on magnetic positioning. A single magnetic node is mounted on each fingertip, and two magnetic nodes on the back side of the hand. A fixed array of receiving coils is used to detect the magnetic field, from which it is possible to infer position and orientation of each magnetic node. A kinematic model of the whole hand has been developed. Starting from the positioning data of each magnetic node, the kinematic model can be used to calculate position and flexion angle of each finger joint, plus the position and orientation of the hand in space. Relying on magnetic fields, the hand tracking system can work also in nonline-of-sight conditions. The gesture reconstruction is validated by comparing it with a commercial hand tracking system based on a depth camera. The system requires a small amount of electronics to be mounted on the hand. This would allow building a light and comfortable data glove that could be used for several purposes: human-machine interface, sign language recognition, diagnostics, and rehabilitation.
Perancangan E-Office Administrasi Pada Kantor Kelurahan Muara Bulian

Management of administrative data at the Muara Bulian Village Office which is still conventional where data collection and reporting are still using bookkeeping, so that there is often difficulty in making letters, reports and searches, the absence of digital data back-up makes the administration process less efficient. So an efficient and effective information system is needed to support ticket sales bookkeeping. In addition, researchers also design computerized administrative applications. The benefit of this study is that it can improve the quality of service to the population. The results of this study are an administrative application as a tool for processing administrative data, letters and report generation. This application is expected to help employees of the Muara Bulian Village Office in providing the best service to the population.&#x0D; Keywords: E-Office, administration, Village Office
It may be time to improve the neuron of artificial neural network

&lt;p&gt;Artificial neural networks (ANNs) have won numerous contests in pattern recognition, machine learning, or artificial intelligence in recent years. The neuron of ANNs was designed by the stereotypical knowledge of biological neurons 70 years ago. Artificial Neuron is expressed as f(wx+b) or f(WX). This design does not consider dendrites' information processing capacity. However, some studies recently show that biological dendrites participate in the pre-calculation of input data. Concretely, biological dendrites play a role in extracting the interaction information among inputs (features). Therefore, it may be time to improve the neuron of ANNs. According to our previous studies (DD), this paper adds the dendrites' function to artificial Neuron. The dendrite function can be expressed as W&lt;sup&gt;i,i-1&lt;/sup&gt;A&lt;sup&gt;i-1&lt;/sup&gt; ○ A&lt;sup&gt;0|1|2|...|i-1&lt;/sup&gt; . The generalized new neuron can be expressed as f(W(W&lt;sup&gt;i,i-1&lt;/sup&gt;A&lt;sup&gt;i-1&lt;/sup&gt; ○ A&lt;sup&gt;0|1|2|...|i-1&lt;/sup&gt;)).The simplified new neuron be expressed as f(∑(WA ○ X)). After improving the neuron, there are so many networks to try. This paper shows some basic architecture for reference in the future. &lt;/p&gt; &lt;p&gt;Interesting things: (1) The computational complexity of dendrite modules (W&lt;sup&gt;i,i-1&lt;/sup&gt;A&lt;sup&gt;i-1&lt;/sup&gt; ○ A&lt;sup&gt;i-1&lt;/sup&gt;) connected in series is far lower than Horner's method. Will this speed up the calculation of basic functions in computers? (2) The range of sight of animals has a gradient, but the convolution layer does not have this characteristic. This paper proposes receptive fields with a gradient. (3) The networks using Gang neurons can delete traditional networks' Fully-connected Layer. In other words, the Fully-connected Layers' parameters are assigned to a single neuron, which reduces the parameters of a network for the same mapping capacity.&lt;/p&gt;
Report of the GODORT Cataloging Committee Virtual Midwinter Meeting

Wednesday January 22, 2020, Andie Craley, Chair
Search for tools using the mobile application

This article provides information about the program released by Seco Tools. The Seco Assistant mobile app provides all the necessary data about the products and tools without having to search the catalog, even without an Internet access. The application with a simple interface is designed with an emphasis on maximum usability and takes up a small amount of phone memory. The presented program will be useful for the chief mechanic's services and will reduce the search for the necessary tools.
A Brief Review of Responsible AI and Socially Responsible Investment in Financial and Stock Trading

Automated trading is used in most of the major markets of our world. In order to ensure sustainable development, incorporating ethical and socially responsible ideas while designing these Artificial Intelligence (AI) systems has become a necessity. Both the industry and the academia are working towards Responsible AI, which can make Socially Responsible Investments (SRI). This paper reviews the research on SRI investment in the financial sector and evaluates these methods, which can help find future research directions in Computational Finance. This survey looks at the machine learning techniques used for ethical decision-making while stock or forex trading, which will benefit any further research work on Responsible AI in Finance.&lt;br&gt;
Issue of Man’s Creativity Nature: Socio-Philosophical Analysis

The study aims to determine specific character of the man’s creativity nature. The article reveals correlation between societal development and evolution of the individual’s creative act. Scientific novelty of the work lies in making practical evaluation of the notion “creative space” in social philosophy as an existential phenomenon of human development, as well as of the notion “Creator’s syndrome” as an integral content feature of Man the Creator (Homo faber). The attained results attest to particular nature of the man’s creativity - biological and existential at the same time - which is constantly prompting him to transform the outside world in order to make sense of it resulting in formation of creative space.
NIGERIA: Crackdown on Cryptocurrencies

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 58, Issue 1 p. 23303A-23303C Policy and Practice NIGERIA: Crackdown on Cryptocurrencies First published: 06 March 2021 https://doi.org/10.1111/j.1467-6346.2021.09904.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 onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume58, Issue1March 2021Pages 23303A-23303C RelatedInformation
An enhanced cooperative method to solve multiple-sequence alignment problem

In this research study, we aim to propose a novel cooperative approach called dynamic simulated particle swarm optimisation (DSPSO) which is based on metaheuristics and the pairwise dynamic programming (DP) procedure to find an approximate solution for the multiple-sequence alignment (MSA) problem. The developed approach applies the particle swarm optimisation (PSO) algorithm to discover the search space globally and the simulated annealing (SA) technique to improve the population leader quality in order to overcome local optimum problem. After that the dynamic programming technique is integrated as an improver mechanism in order to improve the worst solution quality and to increase the convergence speed of the proposed approach. Simulation results on BAliBASE benchmarks have shown the potent of the proposed method to produce good quality alignments comparing to those given by other literature existing methods.
Computer Simulation Algorithm of Gymnastics Formation Change Path Based on Wireless Sensor

Abstract Today, with the rapid development of information age, the communication of science and technology is getting closer to each other, and our country has begun to conduct in-depth research on WSN. This study mainly discusses the computer simulation algorithm of gymnastics formation transformation path based on wireless sensor. In this study, an improved leader follower method is designed. In the research of gymnastics formation transformation of mobile nodes in wireless sensor network environment, the traditional three types of nodes are divided into four categories according to different formation responsibilities, namely coordinator, beacon node, leader and follower. When it makes accurate positioning with the help of beacon node information, it will send the information in the form of broadcast, and then the coordinator will send the information to the host computer through the serial port for tracking display. In order to make the mobile nodes in the network keep the current gymnastics formation moving towards the target point after completing the gymnastics formation transformation, this paper uses the L - φ closed-loop control method to modify the gymnastics formation in real time. The method based on the received signal strength is used to locate the mobile node. Combined with the positioning engine in the core processor CC2431 of the mobile node, the efficient and low-energy wireless positioning can be realized. Multiple mobile nodes coordinate and control each other, and each node communicates with each other through wireless mode, and senses its own heading angle information through geomagnetic sensor, so as to judge and adjust the maintenance and transformation of the current gymnastics formation. In the process of formation transformation, the analysis shows that the maximum offset of follower2 relative to the ideal path is + 0.28M in the process of marching to the desired position in the triangle queue. This research effectively realizes the computer simulation of autonomous formation.
ADR Brief

Alternatives to the High Cost of LitigationVolume 39, Issue 2 p. 32-33 ADR Brief ADR Brief Russ Bleemer, Russ BleemerSearch for more papers by this author Russ Bleemer, Russ BleemerSearch for more papers by this author First published: 02 February 2021 https://doi.org/10.1002/alt.21881Read 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. Volume39, Issue2February 2021Pages 32-33 RelatedInformation
DEPARTMENT MANAGEMENT SYSTEM - WEB-BASED APPLICATION

This work done is aimed at developing an OnlineWeb-based "Department Management System" that is of importance to a specific department of a college.The system is a web-based application that can be accessed throughout the department of an organization.This system may be used for monitoring the overall activities as well as performance of the students.This work is being developed for an engineering to maintain and facilitate easy access to information.For this the users must be registered with the system after which they can access as well as modify data as per the permissions given to them.DMS is a web based application that aims at providing information to all the levels of department in an organization.This system also contains department yearly magazine "BYTE" and all other books in the library module which are related to the department.For a given student/faculty can access the system to either upload or download some information from the database.
Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations

Today’s deep learning systems deliver high performance based on end-to-end training but are notoriously hard to inspect. We argue that there are at least two reasons making inspectability challenging: (i) representations are distributed across hundreds of channels and (ii) a unifying metric quantifying inspectability is lacking. In this paper, we address both issues by proposing Semantic Bottlenecks (SB), integrated into pretrained networks, to align channel outputs with individual visual concepts and introduce the model agnostic AUiC metric to measure the alignment. We present a case study on semantic segmentation to demonstrate that SBs improve the AUiC up to four-fold over regular network outputs. We explore two types of SB-layers in this work: while concept-supervised SB-layers (SSB) offer the greatest inspectability, we show that the second type, unsupervised SBs (USB), can match the SSBs by producing one-hot encodings. Importantly, for both SB types, we can recover state of the art segmentation performance despite a drastic dimensionality reduction from 1000s of non aligned channels to 10s of semantics-aligned channels that all downstream results are based on.
Optimization Load Balancing Over an Imbalance Datacenter Topologies

The quick demand of cloud resources, responsible for design a highly dynamic and flexible Cloud, has become a main challenge in datacenter deployment.A huge number of virtual machines will be available in Datacenter. Further Datacenter will be divided into a greater number of clusters. Each cluster is grouped to same type of Virtual machines. The virtual machines inside the cluster is homogeneous and heterogeneous to other cluster. Any virtual machine can be allocated to end user. If an unhealthy and less energy virtual machine is allocated to user, it will completely degrade the performance of the machine. To overcome this issue, we use an efficient load-balancing algorithm to allocate virtual machine to end user. The Fuzzy Optimized load-balancing algorithm uses the bandwidth, memory, CPU utilization are the key metrics. An efficient algorithm increases the number of hosts allocated to each end user.
MODERN ASSESSMENT TOOLS

The article is devoted to the problem of the need for "evaluation reforms" caused by a change in the criteria of education themselves. The relevance of this problem is to find out what we value, i.e. We consider it a priority today and why we still “weigh” only the load of knowledge and do not measure such important parameters as socially useful work, scientific and creative achievements, and leadership qualities. Various modern assessment tools in the process of teaching foreign languages at school and university are considered.
An Efficient Adaptive Sampling Approach for Mobile Robotic Sensor Networks using Proximal ADMM

Adaptive sampling in a resource-constrained mobile robotic sensor network for monitoring a spatial phenomenon is a fundamental but challenging problem. In applications where a Gaussian Process is employed to model a spatial field and then to predict the field at unobserved locations, the adaptive sampling problem can be formulated as minimizing the negative log determinant of a predicted covariance matrix, which is a non-convex and highly complex function. Consequently, this optimization problem is typically addressed in a grid-based discrete domain, although it is combinatorial NP-hard and only a near-optimal solution can be obtained. To overcome this challenge, we propose using a proximal alternating direction method of multipliers (Px-ADMM) technique to solve the adaptive sampling optimization problem in a continuous domain. Numerical simulations using a real-world dataset demonstrate that the proposed PxADMM- based method outperforms a commonly used grid-based greedy method in the final model accuracy.
Introduction

In this book we review recent contributions to the construction of fundamental data structures for strings. Such data structures are used in many applications as building blocks of strategies that process text datasets efficiently. This chapter introduces suffix sorting, a central problem in string processing. We also present other related problems and some data structures that were developed for their solution.
Merekonstruksi Sejarah SUB Komandemen Sumatera Selatan

Local history is often underestimated, so many primary sources of history are neglected and damaged. Therefore, the need for the existence of the museum as a container for the preservation of historical sites. For example, the Museum Subkoss Garuda Sriwijaya, which stores objects of community struggle in Southern Sumatera against the Dutch Colonial. However, lack of interest and information so that many collections in the museum are considered as insignificant data. Therefore, the need to reconstruct the history behind the museum collection as a first step. This research uses historical research methods with steps, namely; heuristics, verification, interpretation and historiography. To analyze the data obtained, the archeological approach is used to study historical heritage objects to find the facts behind the objects. The results of this study confirm that this museum building has a long historical value from its function as a government office during the Dutch and Japanese colonial periods and was once a sub -oss headquarters. In the fight against invaders, there are some relics such as the C3082 steam locomotive, Jeep Willys STD 156 car, flat cannon and landmijn. All of these objects have a long history of maintaining independence.&#x0D; &#x0D; Keywords : Museum, History and Subkoss