Reviewerly/exHarmony huggingface dataset:
Using SRAM-based CIM Architecture as the Event Detector for AIoT Applications

Convolutional neural networks (CNNs) play a key role in deep learning applications. Computing-in-memory (CIM) architecture has demonstrated great potential to effectively compute large-scale matrix-vector multiplication. For implementation a CIM–based accelerator, a software and hardware co-design approach have to consider the hardware limitations of the CIM macro to map the weight into the AI edge-devices. In this paper, we proposed a hierarchical AI architecture to optimized the end-to-end system power in the AIoT application. CIM-based architecture for event detection is designed to trigger the next stage precision inference. In the experiment, CIM-aware algorithm with 4-bit activation and 4-bit weight on Hand gesture [2] and Yale face [3] datasets are examined to have >95% accuracy. Profiling tool to analyzed the entry-level CIM architecture are also developed.
Embedding and Extraction of Color Image Digital Watermark Based on Quaternion Fourier Transform

With the rapid development of computer and network technology, digital products, especially color digital images, can be popularized on the Internet, but because of their easy access and large-scale copying characteristics, their copyright protection has become increasingly difficult, and piracy and infringement and other issues are becoming more and more serious.Therefore, watermarking technology has increasingly attracted people's attention.Whether it is using digital or color images as host graphics or watermarking materials, it has become one of the hottest watermarking technologies.This article intends to explore the method of embedding and extracting the color image digital watermark using quaternion Fourier transform, and theoretically analyzes the quaternion representation, quaternion Fourier transformation, and logarithmic polar coordinate transformation of color images.And select the middle and low frequency area of the final real part of the quaternion Fourier transform as the embedding area, and carry out the method and process of watermark embedding and extraction.The simulation results show that, in the most typical attack form, the above-mentioned dynamic watermark embedding and extraction algorithm can not only effectively combat filtering attacks and noise intrusion, but also has absolute advantages in combating shear damage.
REVIEW PAPER ON SMART AUTOMATIC PAPER

Some scholars have recently concentrated on certain enduring affordances over digital records of documentary content. Although the bond between the two media is frequently perceived to be one of rivalry, this is actually a complementary relationship. News print records are: eternal: everlasting during a dynamic (changing in time) digital document as well as the intangible (made from information material) and the agency (capable of initiating deeds) when published, frozen, offers a permanent record of a historical record condition, can be lost but cannot be changed; portable: small, autonomously transportable, transferable hand in hand to social meeting; contextualized: it is part of the physical universe, content diversity and remark ability, with its diversified nature and physical environment. The interaction between the paper pointer and the normal mouse visual display unit relationship is similar. The relationship between the span (substantial sheet, arithmetical sheet) is randomly formed through the worldwide distinctive sheet-id over unspecified distances along with the infrastructural trouncing project and the connection between each physical page and its digital equivalent.
Symptom Prediction and Mortality Risk Calculation for COVID-19 Using Machine Learning

<b>Background:</b> Early prediction of symptoms and mortality risks for COVID-19 patients would improve healthcare outcomes, enable the appropriate distribution of healthcare resources, reduce costs, aid in vaccine prioritization and self-isolation strategies, and reduce disease prevalence. Such prediction models are lacking, however. <b>Methods:</b> Based on a comprehensive evaluation of machine learning (ML) methods, we created two models based solely on the age, gender, and medical histories of 23,749 hospital-confirmed COVID-19 patients: a symptom prediction model (SPM) and a mortality prediction model (MPM). The SPM predicts 12 symptom groups for each patient, including severe symptoms such as respiratory distress, consciousness disorders, or paralysis. The MPM predicts the death of COVID-19-positive individuals. <b>Results:</b> The SPM yielded ROC-AUCs of 0.53-0.78 for symptoms. The most accurate prediction was for consciousness disorders at a sensitivity of 74% and a specificity of 70%. 2440 deaths were observed in the study population. MPM had a ROC-AUC of 0.79 and could predict mortality with a sensitivity of 75% and a specificity of 70%. About 90% of deaths occurred in the top 21 percentile of risk groups. To allow patients and clinicians to access these models, we created a free web interface (www.aicovid.org). <b>Conclusions:</b> The ML models predict COVID-19-related symptoms and mortality using information that is readily available to patients and clinicians. Thus, both can rapidly estimate the severity of the disease, allowing shared and better healthcare decisions regarding hospitalization, self-isolation strategy, and vaccine prioritization in the coming months.
Uncertainties evaluation and analysis using quantitative technique for a software project

Opportunities cannot be converted into achievements without assessing risk. Software developers and project managers presume that activities would proceed smoothly and according to plan in software...
Meningkatkan Prestasi Belajar Bahasa Indonesia (Membaca) Melalui Pembelajaran Kelompok (Partisipatif) Siswa Kelas V SDN 004 Rambah Hilir

One of the goals of teaching is to increase knowledge. Teachers must be able to define strata and models of learning. Classroom action research aims to determine whether participatory (group) methods can improve learning outcomes Indonesian reading in grade V SDN 004Rambah Hilir. The formulation of the problem whether with group learning (participatory) can improve the learning achievement of Bahasa Indonesia (read). The subject of this research is done in class V SDN 004Rambah HilirTenelitian consists of four stages of planning, implementation, observation and refleksi.Alat data collection used in the form test in the form of a description. Implementation of the improvement is done two cycles every cycle held two meetings with the completeness cycle I = 73.5% and cycle II = 85%. This research aims to improve student learning outcomes, with the type of qualitative descriptive research it can be concluded that the participatory method can improve learning outcomes Indonesian about reading for students of grade V SDN 004 Rambah Hilir
Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures

We frame the meta-learning of prediction procedures as a search for an optimal strategy in a two-player game. In this game, Nature selects a prior over distributions that generate labeled data consisting of features and an associated outcome, and the Predictor observes data sampled from a distribution drawn from this prior. The Predictor's objective is to learn a function that maps from a new feature to an estimate of the associated outcome. We establish that, under reasonable conditions, the Predictor has an optimal strategy that is equivariant to shifts and rescalings of the outcome and is invariant to permutations of the observations and to shifts, rescalings, and permutations of the features. We introduce a neural network architecture that satisfies these properties. The proposed strategy performs favorably compared to standard practice in both parametric and nonparametric experiments.
Sampling Strategy Optimization for Randomized Benchmarking

Randomized benchmarking (RB) is a widely used method for estimating the average fidelity of gates implemented on a quantum computing device. The stochastic error of the average gate fidelity estimated by RB depends on the sampling strategy (i.e., how to sample sequences to be run in the protocol). The sampling strategy is determined by a set of configurable parameters (an RB configuration) that includes Clifford lengths (a list of the number of independent Clifford gates in a sequence) and the number of sequences for each Clifford length. The RB configuration is often chosen heuristically and there has been little research on its best configuration. Therefore, we propose a method for fully optimizing an RB configuration so that the confidence interval of the estimated fidelity is minimized while not increasing the total execution time of sequences. By experiments on real devices, we demonstrate the efficacy of the optimization method against heuristic selection in reducing the variance of the estimated fidelity.
USER SATISFACTION MEASUREMENT OF VOTER DATA INFORMATION SYSTEM WITH EUCS MODEL IN KOMISI PEMILIHAN UMUM SURABAYA

SIDALIH (voter data information system) is a website created by the General Election Commission for updating voter data in Indonesia. However, SIDALIH users often make mistakes when maintaining the system due to disturbances from external and internal factors that can affect user satisfaction and performance. So it is necessary to re-measure to improve the quality of the system. This study aims to determine the factors that influence the increase of SIDALIH user satisfaction in the General Election Commission of Surabaya using End User Computing Satisfaction (EUCS). The model consists of five variables: content, accuracy, format, ease to use and timeliness. The city of Surabaya was chosen as the research location because Surabaya as the second largest city in Indonesia has often been chosen as the main barometer in evaluating the success of a program or policy. The analytical method used in this study is Multiple Linear Regression Analysis to determine the quality relationship between the dependent variable. The research sample of 62 respondents was taken from all SIDALIH users in the KPU and 31 PPK offices in the city of Surabaya using purposive sampling technique. The results showed that the variables namely content, accuracy, format and timeliness had a significant and positive effect on SIDALIH user satisfaction, while the ease of use variable had no significant effect.
Reading Attitude of Students of a Middle School and Effects of a Two-year In-class Reading Intervention on Them

This study investigated the attitude of the students of a middle school towards reading and examined the effects of a two-year in-class reading program on them. Adopting a mixed-method research design, this study involved a class of students of a middle school in Bhutan. Data were collected by means of Elementary Reading Attitude Survey (ERAS) and semi-structured interviews. While the ERAS revealed positive attitude towards reading, there was not statistically significant relationship between gender and attitude towards reading. The qualitative data revealed four positive effects of the two-year in class reading on them, however. The two-year in-class reading has seemingly improved participants’ speaking and writing skills, enhanced their learning of subjects studied in English, broadened their minds, and assisted their character and personality developments. These findings strongly suggest teachers and parents to institute reading programs both at schools and at homes so that the reading habits contribute to learning of academic subjects and their academic achievements. The habit also expects acceleration of acquisition of English language skills, both productive and receptive skills.
Randomized Component Based Secure Secret Reconstruction in Insecure Networks

In Shamir (t, n) secret sharing scheme, the secret can be recovered by any t or more than t shareholders. However, in insecure networks, if the number of participants is greater than t, a participant who does not own a valid share can also recover the secret by collecting components from other honest shareholders. Harn proposed the first secure secret reconstruction scheme, which used linear combination of shares to solve this problem, but this scheme is vulnerable to linear subspace attack. Miao used randomized component to disrupt the linear relationship and protect the share from being exposed. However, it can also be attacked by lattice. In this paper, we propose two randomized component based secure secret reconstruction schemes in insecure networks. The first scheme uses a random element whose distribution range at least equals to the share to protect the secrecy of share. Furthermore, the scheme is ideal and perfect. The second scheme is an improved scheme using bivariate polynomial, which is not only used for share and randomized component generation, but for secure channel construction. We don’t need to establish the secure channel for each pairwise shareholders in advance. s-box transmission breaks the linear relationship among randomized components and guarantee the perfect secrecy of our scheme.
LibGuides: HACC User Support: Printing

Tech support provides effective and timely technical support for all HACC students, faculty, and staff.
Comparison of Different Student Categories using Augmented Reality and Conventional Methods

This paper is about introduction to augmented reality (AR) technology for educational purposes whose aim is to provide a module education for students. AR can be defined as an interactive 3D environment which links physical reality and virtual reality. This technology is widely used in education that can help the students quickly acquire, process, and remember the information. The method that is usually used is unattractive and less efficient to gain knowledge among the students. This problem occurs due to lack of interactive platforms in which most of the generation kids are addicted to their smartphone. The main objective for this project is to design VKV and KVKK modules using augmented reality applications. Method to create the AR education platform was not that difficult with the help of many open source platforms such as Unity Real-Time Development Platform or known as Unity 3D, blender, Vuforia and etc. The new AR application called ReModAR has successfully developed for Android OS and been tested to four students with different education backgrounds and categories. Based on the results, Alicia was able to gain a higher percentage difference and recorded a faster answering time when using the AR application method for both  modules. Even though Amsyar gained the lowest percentage difference, he showed good improvement in result time taken between conventional and application methods by 50% for KVKK and 66% for VKV module. From this augmented reality applications, it provides a significant impact on students in terms of quick learning understanding and it helps the students to answer and memorize the words easily than using conventional method. The students also gave a positive response while learning and playing with this interactive apps. We hope by built this application it helps the students to enjoy the learning process in a fun way.
The Interpersonal Meanings of Words and Images in Ads: An Intersemiotic Complementary View

This study aims to find out the interpersonal meaning and the intersemiotic complementary in public service advertisement of selected violence against children prevention campaign. Employing Royce’s intersemiotic complementary framework (2001), it analyzed how the visual and verbal signs work together to create common messages sent to the public as viewers/readers. Based on the analysis, it is found out that the five aspects of visual features --visual contact, social distance, involvement, power relation, and modality—have worked together to construct the interpersonal meaning. The close up shot showing the detail of the bruises on the nose emphasizing a high modality; it represents a high naturality. The boy in bruises looks directly at viewers’ eyes, demanding a help from them. The equal frame on the picture tells the readers that the boy can be part of every one’s life. It may happen in any place and the readers are asked to do take an action. In terms of verbal features, the declarative sentences are used to inform the facts. It is to highlite the clear message in the image, saying that such a violence may be taken by a mother who inherits the boy’s nose—the one who actually loves him very much, but the situation has changed her a lot. Through the way the producers organize the verbal text the readers may take their action to stop the child abuse. Both visual and verbal modes are contributes to convey interpersonal meaning. The intersemiotic complementary in the advertisement is realized interpersonally through the meanings projected in both modes through the reinforcement of address.
Reproducible excitation of string instruments using a robotic arm

In string instruments, while the vibrations of the wooden bodies can be mostly described as linear, the excitation mechanism is usually nonlinear. For instance, the frictional forces that excite bowed-string instruments have undergone both theoretical and experimental studies due to the underlying complexity. In order to analyze the vibratory behavior and the radiation pattern of musical instruments, it is often necessary to excite the instruments repetitively under controlled conditions, for which artificial means are customarily used. In this work, the sound production in string instruments is studied with the usage of a computer-controlled robotic arm, which provides high precision in positioning as well as controlled motion with 6 degrees of freedom. Together with a customized 3D-printed clamp-system, it is possible to hold and move objects in order to mimic the gestures of instrumentalists, equipping the arm, for example, with a bow or a plectrum. This systematic experimental approach allows to repeatedly reproduce the player-instrument interaction, either by accurately recreating the player actions or by precisely adjusting one or several control parameters. In this study, the possibility to introduce such a robotic arm for the investigation of string instruments is presented and exemplified using different case studies.
Os desafios enfrentados e os benefícios conquistados com a cultura e as práticas DevOps

The present work aims to analyze the development and software maintenance industry professionals' perspective that adopted practices and cultures fostered by DevOps. For that, we verified which practices and cultures associated with DevOps in the available literature are and also in other works that tried to define the adoption process for professionals who joined DevOps. Then, we developed a survey that gathers the difficulties and the rewards reported by such sources to present to professionals that have already used them or use DevOps in their work environment. This research allowed us to visualize what these professionals perceive in practice as the most important factors in using DevOps and how close is literature to the actual context and achieve verification, in a given context, of what are the challenges and benefits of DevOps adoption for development and software maintenance industry professionals
Metrology Information Data Push System Based on Crawler and Deep Learning

The National Metrology Data Center has developed a metrology information data push system. The system first uses the web crawler technology to capture the latest metrology information data from authoritative metrology websites at home and abroad. Then the data is integrated to a three-dimensional topic map after being preprocessed by AI and manually curated, which is further published to the website and pushed to the corresponding subscribers with corresponding subject terms. Researchers can subscribe to the information according to the three dimensional topic maps or custom subject terms to obtain the latest metrology information data in real time. The system has been deployed on the website of the National Metrology Data Center, and the actual operation is good, which verifies the feasibility and development potential of the program.
Factors of ICT Adoption and Cultural Preservation among the Kadazandusun Community in Sabah

The development of Information and Communication Technology has also brought about changes to the cultural context of the community.This paper investigates the factors that influence the ICT adoption for cultural preservation among the Kadazandusun community in Sabah.This study adopted the Unified Theory of Acceptance and Use of Technology (UTAUT) which identifies four key factors, namely performance expectancy, effort expectancy, social influence, and facilitating conditions.In this study, a quantitative approach was used.This study included 350 Kadazandusun community members as respondents.To determine the mean of the four factors measured, a descriptive analysis was performed with a total mean score of 5.00.Performance expectancy had the highest mean score (4.06), followed by effort expectancy (4.03).The other two factors were slightly lower: social influence = 3.51 and facilitating conditions = 3.42.The findings revealed that ICT has indeed improved the Kadazandusun community's performance and effort in preserving their culture.The Kadazandusun community, on the other hand, can easily adopt ICT without much influence from the social circle.In terms of facilitating conditions, its score was the lowest indicating that the availability of tools, skills, financial resources, and facilities is critical to ensuring longterm ICT adoption.
Enhanced blockchain technology associated with IoT for secure and privacy communications in 5G

Chapter Contents: 4.1 Introduction 4.2 Design process of blockchain-based systems 4.3 IoT – with 5G and blockchain 4.3.1 Requirements of IoT 4.3.2 Benefits of 5G 4.3.3 Impact of blockchain technology on digital commerce 4.3.4 Impact of blockchain on IoT 4.4 5G technology for greater connectivity 4.4.1 Mobile payment networks to worldwide communication 4.4.2 How blockchain and 5G help secure versatile banking 4.4.3 How will 5G WiFi enhance blockchain-based crypto assets? 4.4.4 Scaling of blockchain functionality by 5G 4.4.5 5G for boosting keen agreements credibility 4.4.6 How 5G will increase network volume for blockchain improvement? 4.4.7 Will 5G bargain blockchain innovations latent capacities? 4.5 5G-based blockchain distributed ledger technology 4.6 Secure mobile banking using 5G and blockchain 4.7 5G benefits to blockchain and crypto users 4.7.1 5G affect on revolutionizing blockchain 4.7.2 How 5G authorizes smart contracts 4.8 Blockchain in defense to secure communications 4.9 Key issues in blockchain in communications 4.10 5G challenges facing deployment 4.11 New opportunities for 5G applications 4.12 Blockchain works to secure communications 4.12.1 Centralized, distributed, and decentralization networking 4.12.2 Coding modern technologies 4.12.3 Vulnerabilities in existing communications protocols 4.12.4 Weaknesses in packetization 4.12.5 Securing community packets with blockchain 4.12.6 Weaknesses in net protocol addresses 4.12.7 Protecting IP addresses with decentralized communications 4.13 Propose framework along with blockchain technology 4.14 Case study 4.15 Chapter summary and conclusions References