Reviewerly/exHarmony huggingface dataset:
Low Power Intrusion Detection Using Multi-Level Sensor Authentication

Surveillance systems be connected with very less cost and less power IR and PIR sensors, which are more capable to find the false alarms and small inference. Wireless smart cameras become an appropriate solution for the upcoming challenges like the hardware capabilities in terms of low ­ power utilization and high imaging performance and high memory footprint all are very big tasks for the wireless smart cameras. For this reason, wireless surveillance systems still involve a significant aggregate of research in different areas such as mote architectures, video processing algorithms, power management, energy harvesting and distributed engine. Here we evolve a solution for this problem through multilevel sensing architecture. The proposed system to be find the energy interference in the first level. If any unwanted event, it will be occurring at the moment the additional authentication unit become initiate and activities. In this stage, PIR sensor that detects the traces of the event. If the PIR sensor detects the same, it authenticates the event and switches ON the wireless camera. This system has multiple advantages like reduced power consumption, improved event detection accuracy, longer life span and enhanced information clarity.
Compound Keyword Level Search to conserve Privacy in access of Encrypted Cloud

With the advent of cloud computing, data owners are motivated to outsource their complex data management systems from local sites to the commercial public cloud for great flexibility and economic savings. But for protecting data privacy, sensitive data has to be encrypted before outsourcing, which obsoletes traditional data utilization based on plaintext keyword search. Thus, enabling an encrypted cloud data search service is of paramount importance. Considering the large number of data users and documents in the cloud, it is necessary to allow multiple keywords in the search request and return documents in the order of their relevance to these keywords. Related works on searchable encryption focus on single keyword search or Boolean keyword search, and rarely sort the search results. In this paper, for the first time, we define and solve the challenging problem of privacy preserving multi-keyword ranked search over encrypted cloud data (MRSE).We establish a set of strict privacy requirements for such a secure cloud data utilization system. Among various multikeyword semantics, we choose the efficient similarity measure of “coordinate matching”, i.e., as many matches as possible, to capture the relevance of data documents to the search query. We further use “inner product similarity” to quantitatively evaluate such similarity measure.
Time Series Forecasting Techniques for Infectious Disease Prediction

This chapter provides an overview of the Time Series Forecasting techniques for infectious disease prediction with a focus on enabling technologies, protocols, and implementation issues. Recent developments in RFID, smart sensors, communications technologies, and Internet protocols enable the latest technological advances in the field of epidemiology. The basic idea of this chapter is to have smart sensors working directly to achieve a new class of autonomous applications without human involvement. One of the significant challenges in the medical domain is the effective handling of large volumes of time series data and the associated algorithms. Apart from the sheer volume of data, the diversity of data sources gives rise to considerable complexity: without comprehensive semantic meaning data on signals, objects, and their location, users cannot comprehend the raw time-series data. This further augments the complexity by considering predictive models for capturing regularities and time series statistical patterns, often as a function of other time series influenced through co-location and physical processes. 270This chapter outlines a detailed survey of the time series forecasting techniques in the context of medical applications.
Innovative Color Band Security System to Avoid Shoulder Surfing

Conventional password schemes are greatly at risk of shoulder surfing, many shoulder surfing graphical way schemes are created. But, end users are more acquainted with textual password than pure graphical password, text-based graphical password schemes are proposed. Sadly, none of the text-based shoulder surfing resistant graphical password schemes is both secure and efficient enough right now. In this paper, it proposed an enhanced version of text-based shoulder surfing resistant graphical password using your favourite color. In this proposed scheme, the user can easily and efficiently login in the system. Next, we analyze the protection and usefulness of the proposed scheme, and show the resistance of the proposed scheme to shoulder surfing and accidental login. The shoulder surfing attack is an attack in which attacker try get the user’s password by watching over the user’s shoulder as he enters his password. As conventional password schemes are prone to shoulder surfing, Bravado and Biretta proposed three shoulder surfing resistant graphical password schemes. Since then, many graphical password schemes with different degrees of resistance to shoulder surfing are proposed and every has its pros and cons. The alphabet utilized in the proposes scheme contains 16 characters, including 8 small letter alphabets from a to h &amp; 8 numerical from 1-8.
Email Spam Filtering using Machine Learning

In todays world, all activities depend upon the internet. In that Receiving Spam email send messages is a major problem. Many times, this kind of mail contains viruses and hacking links and they affect our system. For solving this kind of problem, we need some method that can filter spam mails and non spam emails. In this paper, we presented one machine learning method that filters spam and non-spam emails. Our algorithm generates the dictionary and features vector and trains them with a machine learning algorithm. Email is one such communication medium that comes to mind when we think of secure communication. As the popularity of email increases, the number of unsolicited data has also increased rapidly. A lot of unwanted stacks of emails called as Spam has created a need for further development Nowadays Machine learning methods have been able to detect and filter out spam emails. The purpose of this current project is to receive a spam email in the morning or effectively using the Multinomial Naïve Bayes method. Naïve approach is a machine-readable algorithm used to classify sample email as spam or not. This filter can be used by other email service providers as fully functional spam filters.
IOT Based Digital Wireless Notice Board

This paper aims to present a technology based online notice board using Internet of Things (IOT). Down the years Display boards constituted one of the major roles in mass communication medium. In order to reduce paper work, time and man power, the proposed model introduces an online digital notice board using IOT.IOT Connects things to the internet. So, we can access the Notice board from anywhere across the world through internet. The notice board is interfaced with the Wi-Fi module to provide internet access to the board. The Wi-Fi module which is installed at the digital notice board receives the message from designated user and gets presented on the notice board. From our proposed model the authorized admin enables to post the message from any corner and this message can be portrayed on the LCD Display. The proposed model funds with multiple applications like help desks in transporting stations like railway, airways and bus stations which offers travellers to have up to date/updated info. It has a better impact in jammed regions as in supermarket to provide a hike and decremental cost prices. This directs the people/students in completely unfamiliar areas. Lesser to the infinity each remote areas of the world can be portrayed on the screen with the updated news and it can be possible only by the IOT.
Intelligent Construction of Landscape Environment Monitoring System Based on Virtual Reality Technology (VRT)

In recent years, with the progress of science and technology, VRT has been widely used in the field of landscape environmental monitoring. Based on the theory of VRT, this paper studies and analyzes the existing intelligent platform. Firstly, this paper expounds the function, classification and characteristics of garden landscape environment, then introduces the principle of VRT and monitoring related technical principles, and designs the functional module of garden landscape environment monitoring system based on this principle. The final test results show that the landscape environment monitoring system based on VRT has clear image quality, short data processing time, normal CPU utilization and low connection utilization. This shows that the system can meet the requirements.
Un/interactive Fish in Posthuman Ethical Design

In the posthuman era, what counts as ethical has dispersed and re-distributed to a nonhuman-centered network that includes nonhuman species and nonliving matter. This hybrid study consists of research and project-based speculative design that aims to recalibrate human relationships with others, in this case, digital fish. The overarching question in this research is: How a human-nonhuman relationship could look like through the lens of Taoist-posthumanism and how to design such a relationship? More specifically, how to design a mutually beneficial interactive system with limited human-initiated interaction? Firstly, I draw on Posthumanism, Taoism, and Contractualism as theoretical frameworks to form the arguments regarding the human-fish relationship. Second, I analyze the theories and transcribe them into the public interactive project Not-my-fish in terms of un-interactive interaction and human experience. Third, I apply the concept of flow as design guidelines and feature four aspects of the flow in the human-fish interaction: ecological flow, sensory flow, social flow, and data flow. Fourth, I discuss how the participating parties mutually benefit from this partnership. Not-my-fish rearticulates the relationship between humans and fish as well as humans and computers and sees the human-fish relationships from posthuman and Taoist perspectives. In short, although the transition from human-centered to posthuman interactive media creates some challenges for human partners and design aspects, the project demonstrates a practical way for humans to develop a posthuman design in public interactives and serve the public good at the same time.
Calibrate and Refine! A Novel and Agile Framework for ASR Error Robust Intent Detection

The past ten years have witnessed the rapid development of text-based intent detection, whose benchmark performances have already been taken to a remarkable level by deep learning techniques. However, automatic speech recognition (ASR) errors are inevitable in real-world applications due to the environment noise, unique speech patterns and etc, leading to sharp performance drop in state-of-the-art text-based intent detection models. Essentially, this phenomenon is caused by the semantic drift brought by ASR errors and most existing works tend to focus on designing new model structures to reduce its impact, which is at the expense of versatility and flexibility. Different from previous one-piece model, in this paper, we propose a novel and agile framework called CR-ID for ASR error robust intent detection with two plug-and-play modules, namely semantic drift calibration module (SDCM) and phonemic refinement module (PRM), which are both model-agnostic and thus could be easily integrated to any existing intent detection models without modifying their structures. Experimental results on SNIPS dataset show that, our proposed CR-ID framework achieves competitive performance and outperform all the baseline methods on ASR outputs, which verifies that CR-ID can effectively alleviate the semantic drift caused by ASR errors.
Computational modeling of representational pluralism in explanations

Understanding the cognitive structure of explanations – and the cognitive processes that assemble them – is a milestone for understanding how people learn and communicate. Recent research on explanatory coexistence and representational plurality suggests that people’s causal beliefs are less globally coherent than previously thought: people use seemingly competing supernatural and biological causes to explain different aspects of the same phenomenon, or they assemble supernatural and biological causes into single, coherent explanations. This coexistence – and unexpected coherence – of diverse causal mechanisms poses interesting questions about the role of coherence and fragmentation in people’s mental models and explanations. This chapter presents a computational model of explanatory coherence in the well-characterized domain of disease transmission, extending a previous cognitive model of explanation-based conceptual change. Our computational model (1) retrieves diverse causal model fragments based on the phenomenon to explain, (2) assembles coherent causal models using relevance-directed abductive reasoning and (3) selects explanatory paths that support within-explanation and within-scenario coherence. Our model simulates the three different types of explanatory coexistence detailed in the literature.
Issues on Legislative Education and Suggestions for Its Improvement

본 연구는 입법교육의 지형(체계)과 입법교육의 대안(발전방안)을 모색하는 것을 목적으로 한다. 먼저 입법교육의 체계는 &#65378;법교육지원법&#65379;에서 규정한 법교육의 체계에 따라 학교 법교육, 사회 법교육으로 크게 나눌 수 있다. 여기에서는 학교 법교육의 경우에도 초·중등교육과 고등교육으로 구분하고, 사회 법교육의 경우에는 입법 관련 종사자 교육에 중점을 두어 현재 입법교육의 지형을 살펴보고자 하였다. 학교 입법교육의 경우 초·중등학교 교육과정에서는 독립된 입법교육이 이루어지고 있지 아니하고, 고등교육과정인 대학에서는 입법학 교과목이 소수의 대학에서 운영하고 있으며, 비교과과정으로 입법교육이 이루어지고 있다. 우리나라의 입법교육이 비교적 가장 활발하게 이루어지는 것은 국회나 법제처에서 관련 직역 종사자를 대상으로 하는 입법교육으로 보인다. 입법교육의 대안으로 초등학교의 경우 학급운영과정과 연계하여 입법교육을 실시하는 것을 들 수 있다. 고등교육기관인 대학의 경우에는 먼저 입법학 나노학위과정을 통해 입법에 관심이 있는 타 전공학생들이 학위를 취득할 수 있도록 하는 방법, 캡스톤디자인 교과목으로 입법교과목을 설계하여 지역사회 기관이나 기업 등의 문제에 대한 학생들의 입법 문제해결 능력을 키우는 방법이 있다. 법학전문대학원의 경우에는 입법전문가 양성을 위한 입법클리닉 수업 운영을 고려할 수 있다. 마지막으로 직역교육에 있어서 지방자치법 전부개정에 따라 신설되는 정책지원전문인력에 대한 입법교육에 대한 관심도 기울여야 할 것이다.The purpose of this study is to explore the topography(system) of legislative education and alternatives(improvement) of legislative education. The system of legislative education can be largely divided into school legal education and social legal education according to the Legal Education Support Act. In this study, school law education was divided into elementary and secondary education and higher education, and social law education focused on the education of legislative workers and examined the current status of legislative education. In the case of school legislative education, independent legislative education is not provided in the elementary and secondary school curriculum. A small number of universities operate legislative studies, and legislative education is also provided through non-subject education. Legislative education of the National Assembly and the Ministry of Legislation for related job workers is well carried out. The plan to develop legislative education in elementary schools is to provide legislative education in connection with the class operation process. The plan to develop legislative education in elementary schools is to provide legislative education in connection with the class operation process. In the case of universities, there are the following improvement measures. First of all, there is a way to grant degrees to students in administration, policy, and politics as well as students interested in legislation through the legislative nano-degree course. Second, there is a way to develop students ability to solve legislative problems for problems such as community institutions and companies by designing legislative subjects as capstone design subjects. In the case of a law school, the operation of a legislative clinic class to foster legislative experts may be considered. Finally, attention should also be paid to local autonomy legislative education for policy support professionals.
Blockchain generates innovation in public services and e-government

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Integrating blockchain technology into e-government processes would be highly beneficial for citizens, businesses, and governments. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.
All in the Details

Peyton Rous’s reactions to his various colleagues offer a glimpse of the personality behind the scientist—and serve as a perfect example of the vital role archives play in the craft of history.
Comparing Two-Qubit and Multi-Qubit Gates within the Toric Code

The 53rd Annual Meeting of the APS Division of Atomic, Molecular and Optical Physics will take place from May 30 – June 3, 2022 in Orlando, Fl, USA. <a href="https://morressier.zoom.us/j/89880865272?pwd=SWxTRGhra1ZOSDBrSkhVZDBzVDR6UT09/">Virtual Presenter Help Desk</a>
RPVC: A Revocable Publicly Verifiable Computation Solution for Edge Computing

With publicly verifiable computation (PVC) development, users with limited resources prefer to outsource computing tasks to cloud servers. However, existing PVC schemes are mainly proposed for cloud computing scenarios, which brings bandwidth consumption or network delay of IoT devices in edge computing. In addition, dishonest edge servers may reduce resource utilization by returning unreliable results. Therefore, we propose a revocable publicly verifiable computation(RPVC) scheme for edge computing. On the one hand, RPVC ensures that users can verify the correct results at a small cost. On the other hand, it can revoke the computing abilities of dishonest edge servers. First, polynomial commitments are employed to reduce proofs’ length and generation speed. Then, we improve revocable group signature by knowledge signatures and subset covering theory. This makes it possible to revoke dishonest edge servers. Finally, theoretical analysis proves that RPVC has correctness and security, and experiments evaluate the efficiency of RPVC.
Data-Driven Quantum Approximate Optimization Algorithm (QAOA) for Max-Cut Problems

The 53rd Annual Meeting of the APS Division of Atomic, Molecular and Optical Physics will take place from May 30 – June 3, 2022 in Orlando, Fl, USA. <a href="https://morressier.zoom.us/j/89880865272?pwd=SWxTRGhra1ZOSDBrSkhVZDBzVDR6UT09/">Virtual Presenter Help Desk</a>
THE PROBLEM OF SIMULATION OF THE FUNCTIONING PROCESSES OF A MULTI-SENSOR INFORMATION-CONTROL SYSTEM OF A VEHICLE UNDER STABILIZING EFFECTS

The subject area of properties of an unmanned vehicle with an information and control system in conflict and uncertain operating conditions in two versions is considered. The first option is a physical model that reflects the material attributes of the ground adaptive robotic complex using the components of subsystems of generalized design with measuring system of sensors and adaptive control system, as well as materialized elements of technological interaction in the form of multisensor channels for receiving and processing signals. radiation. The second option - an analytical model that reflects the system of formalization of information interaction of the object with the operating environment with objects, which is represented by an ordered set (vector) of source data, logical and analytical expressions, algorithms or rules for their construction. Particular attention is paid to simulation methods of digital information processing in information and control systems of car control. A simulation model with a stabilizing measure for the processing of digital multisensory information in information and control systems of car control in the conditions of destabilizing influences is proposed. The presented joint solution of the problem of restoring the observed image involves determining the conditions of formation of the recovered image taking into account destabilizing factors by simulating them as a noise test useful signal, the coefficients of which are formed by addressing random number sensors (RNS) with uniform distribution law with its subsequent processing in a regularized adaptive system. Keywords: information and control system, destabilizing influences, automotive equipment, information, test signal.
Analysing A. N. Ostrovsky’s Drama “Without a Dowry” at Literature Lessons in High School from the Perspective of Spatial and Temporal Characteristics

The research aims to determine productive ways of studying A. N. Ostrovsky’s drama “Without a Dowry” in literature lessons from a literary and methodological perspective. The paper considers methodological techniques for analysing the spatial and temporal organisation of the work, identifies the functions of images-chronotopes. Scientific novelty of the research lies in developing recommendations for the interpretation of the text, explaining the connection of the chronotope system with the spiritual and moral content of “Without a Dowry” to students. As a result, it has been proved that the learning and educational potential of the play can be realised fully in the classroom taking into account the peculiarities of the play’s artistic structure.
Pedagogical Techniques for Metadisciplinary Results Formation in Eighth-Grade Students in Social Studies Lessons: A Theoretical Analysis

The research aims to identify the conditions for the use of modern pedagogical techniques for metadisciplinary results formation in eighth-grade students in social studies lessons. The paper gives a general description of the concept of metadisciplinarity. The authors highlight the main requirements for the process of metadisciplinary results formation in students based on the Federal State Education Standard of Basic General Education. The practical experience of metadisciplinary results formation in eighth-grade students in social studies lessons is described. Scientific novelty of the research lies in determining the conditions in which the application of pedagogical techniques for metadisciplinary results formation in students in social studies lessons is effective. As a result of the analysis, it has been found that the use of various pedagogical techniques for the formation of students’ metadisciplinary results is more effective if certain conditions are met. These conditions are as follows: students’ educational activities on the acquisition of metadisciplinary concepts should be aimed at “doubling” the content of education; it is important to establish subject-subject relations between the teacher and the student; it is necessary to ensure students’ awareness of activities when achieving metadisciplinary results and to organise students’ reflection on their own learning activities.