Reviewerly/exHarmony huggingface dataset:
SiSEG-Auto Semantic Annotation Service to Integrate Smart Energy Data

In a modern smart energy system, the amount of available data from various sources is growing significantly. Other sectors such as medical or social sectors exhibit the same phenomenon. Due to the amount, complexity and heterogeneity of data, a complex algorithm is required for the integration and analysis of heterogeneous data sources. The Web of Things and semantic-based approaches address the fragmentation of standards, platforms, services and technologies in smart energy and non-energy sectors, and enable heterogeneous data integration and interoperability. This paper presents SiSEG, a semantic annotation service that is developed to automate the process of annotating data and address the problem of heterogeneous data integration in a reusable and extensible way by using the fuzzy method. Moreover, the accuracy of SiGEG has been evaluated.
Peta 3D Desa Muncan Dengan Augmented Reality Berbasis Marker

Augmented reality is a technology that combines 2D or 3D virtual objects into a real environment. Augmented Reality can be used in various fields, one of which is used for the introduction of an area with 3D forms. Muncan Village has an area of ​​± 325,180 ha/m2, regarding the area and boundaries of Muncan Village, the residents of Muncan Village have difficulty finding houses for the hamlet head, schools, mosques or the potential in other hamlets. Likewise with residents outside Muncan Village who will look for a product in Muncan Village. There are also places of economic, tourism and cultural sources in Muncan Village whose location is rarely the residents of Muncan Village themselves know their location. In this case, information media is needed that can provide instructions and display strategic places and the potential that exists in each hamlet in Muncan Village in the form of a 3D Map with Augmented Reality technology with the aim of making it look more real and can be accessed anywhere via a smartphone.
Retraction: Comparative analysis of CNN and Viola-Jones for face mask detection (J. Phys.: Conf. Ser. 1916 012043)

This article (and all articles in the proceedings volume relating to the same conference) has been retracted by IOP Publishing following an extensive investigation in line with the COPE guidelines. This investigation has uncovered evidence of systematic manipulation of the publication process and considerable citation manipulation. IOP Publishing respectfully requests that readers consider all work within this volume potentially unreliable, as the volume has not been through a credible peer review process. IOP Publishing regrets that our usual quality checks did not identify these issues before publication, and have since put additional measures in place to try to prevent these issues from reoccurring. IOP Publishing wishes to credit anonymous whistleblowers and the Problematic Paper Screener [1] for bringing some of the above issues to our attention, prompting us to investigate further. [1] Cabanac G, Labbé C and Magazinov A 2021 arXiv: 2107.06751v1 Retraction published: 23 February 2022
Pruning Adapters with Lottery Ticket

Massively pre-trained transformer models such as BERT have gained great success in many downstream NLP tasks. However, they are computationally expensive to fine-tune, slow for inference, and have large storage requirements. So, transfer learning with adapter modules has been introduced and has become a remarkable solution for those problems. Nevertheless, recent studies reveal that the parameters in adapters are actually still quite redundant, which could slow down inference speed when fusing multiple adapters for a specific downstream task, and thus, they can be further reduced. To address this issue, we propose three novel ways to prune the adapter modules iteratively based on the prestigious Lottery Ticket Hypothesis. Extensive experiments on the GLUE datasets show that the pruned adapters can achieve state-of-the-art results, with sizes reduced significantly while performance remains unchanged, and some pruned adapters even outperform the ones with the same size that are fine-tuned alone without pruning.
Correction: Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture

[This corrects the article DOI: 10.1371/journal.pone.0236493.].
An Assessment of Employee Knowledge, Awareness, Attitude towards Organizational Cybersecurity in Cameroon

In our increasingly digitized and interconnected society, people are poorly protected against cyberthreats, with the main reason being user behavior. Human behavior and actions are unpredictable in nature and this make human an important element and enabler of cybersecurity. The objective of the study is promotion of adoption of non-technical countermeasures (such as user awareness) for a comprehensive and holistic way to manage cyber security in organizations in Cameroon. We conducted a subjective study to measure the level of employees&amp;rsquo; knowledge and general awareness, risky behavior they engage in, and attitude toward various aspects of cybersecurity and cyberthreats to show the need for user education, training, and awareness. For the study described in this paper, a self-report questionnaire was developed and data were collected from 214 participants. The results of a descriptive statistic percentage indicated that less than 50% of respondents have completed or has regular training program. We find that over 61% of the participants do not have sufficient knowledge of their organization cyber security policies. Among other findings, the over 60% of employees&amp;rsquo; mistakes or violations of security policy are not disciplined or penalized is a demonstration of lack of legal status of cyber-attacks. Cyber resilience in any organization is a responsibility shared by both management and employees. Proactive human management element that can actively hunt for malicious activity and indicators of compromise is recommended.
Appropriate Application of Sawob M-Banking Technology To Develop Waste Bank Management in Bae Village

Garbage is a consequence of human activities. Along with the increasing population and current economic growth, waste management in the community creates uncontrolable problems. Based on this, one of the Community Service Program teams at Universitas Muria Kudus established a partnership with the Tanjung Seto Youth Organization in Bae village to help manage waste in the area. The main and urgent problem from partners that needs to be resolved is the operational activities of the waste bank. These problems include the socialization of waste bank activities, technical transactions, and circulation of waste bank savings money so that it is more efficient, effective, and practical and more citizens participate. The objective of this program is to assist the operational activities of the waste bank by using an android-based application named SAWOB M-Banking to support the process and mechanism of the Waste Bank activities. The method used to implement the solution is mentoring and knowledge transfer. Identifying needs will be accomplished through data collection on waste bank schedules, the number of waste bank clients, waste categories and price values, and customer savings data. Furthermore, processing the obtained data then making the SAWOB M-Banking application. The SAWOB M-Banking application has been socialized to customers gradually and tested for 10 customers in waste bank activities. After being simulated, the SAWOB M-Banking application has been used for all waste bank customers in Bae village.
Intelligent Lossy Compression Method of Providing a Desired Visual Quality for Images of Different Complexity

Lossy compression plays a vital role in modern digital image processing for producing a high compression ratio. However, distortion is unavoidable, which affects further image processing and must be handled with care. Providing a desired visual quality is an efficient approach for reaching a trade-off between introduced distortions and compression ratio; it aims to control the visual quality of the decompressed images and make them not worse than the required by a user. This paper proposes an intelligent lossy compression method of providing a desired visual quality, which considers the complexity of various images. This characteristic is utilized to choose an appropriate average rate-distortion curve for an image to be compressed. Experiments have been conducted for Discrete Cosine Transform (DCT) based lossy compression coder, Peak Signal-Noise Ratio (PSNR) has been employed to evaluate the visual quality. The results show that our new method has the ability to provide a general improvement of accuracy, and the proposed algorithm for classifying image complexity by entropy calculation is simpler and faster than earlier proposed counterparts. In addition, it is possible to find “strange” images which produce the largest errors in providing a desired quality of compression.
Deep Learning in Perception of Autonomous Vehicles

With the development in deep learning and sensor technologies in recent years, the ultimate goal to build full autonomous vehicles (AV) has come closer to practicality.Autonomous vehicles need to be able to percept the environment in order to make the correct decision in controlling the vehicles under different situations.In addition, the process needs to be as accurate as possible since operation under safe conditions is one of the most important issues.Moreover, the efficiency of methods is another crucial factor since complicated traffic requires vehicles to be flexible and react accordingly.Besides, if an AV cannot operate properly and timely, it would be pointless to consider it as an alternative way to the human-control car.While the progress in sensors contributes to the development of AV, the data obtained by sensors is still possible to fail due to environmental or weather conditions.This article first gives a review of the concepts in AV, especially focusing on environmental perception, then concludes and compares several deep learning methods on environment perceptions in the field of AV.
The Use of Brainstorming Strategy to Improve Students’ Speaking Ability

The purpose of this study to investigate whether brainstorming strategy can improve the students’ speaking ability. The subject of research was XI IPA 2 in Academic year 2020/2021. The design of this research is classroom action research (CAR). The researcher evaluates the students’ speaking in five forms those are, Pronunciation, grammar, vocabulary, fluency and comprehension. Before doing cycle 1 the researcher gave speaking test of pre-cycle, based on the result the test in pre-cycle; the researcher gave treatments of action 1 and action 2 they are planning, implementing, observing and reflecting to see improvement of students’ speaking ability after the treatments were given. The brainstorming strategy can improve the students’ speaking ability in two cycle. Then the researcher find out there is a significance difference between the mean score of students’ speaking ability in cycle 1 (62,24) and the mean score of students’ speaking ability in cycle 2 (75,68). There is impact of cycle 2 and the result can achieve the criteria of success. By comparing the means, the researcher concluded that improvement students’ speaking ability through brainstorming strategy is an effective to develop students’ speaking skill. Therefore, English teacher are encourage to teach speaking through brainstorming strategy.
Steepest Ascent Hill Climbing Algorithm To Solve Cases In Puzzle Game 8

The 8th puzzle compiling game is part of searching. Puzzle 8 is an implementation of the steepest ascent hill climbing algorithm by following the established rules. The working process of this algorithm is by looking at the initial position of the puzzle arrangement, after carrying out the process, the results of the shift are seen, whether it is approaching the correct arrangement position. The problem that often occurs is the lack of knowledge in solving game cases quickly so that it takes a long time to obtain the final state. The main purpose of this study is to provide information so that it is easy to solve puzzle game cases using an algorithm. The final result is a puzzle arrangement that is in accordance with the rules by using the concept of an algorithm so as to obtain a decision-making system to complete the puzzle game correctly.
An Advanced Algorithm for Finding Tandem Repeats in DNA Sequencing based on Text Mining

In this paper a new searching technique based on pattern matching is proposed. In bioinformatics, finding Tandem Repeats (TR) in DNA sequences is an critical issue. There exist many pattern matching algorithms and KMP (Knuth Morris Pratt) is one of the pattern matching algorithm that undergo deficiencies of runtime complexity and cost when size of the data set increases. The main aim of the paper is to generate an effective algorithm for detecting and identifying Tandem Repeats over a DNA sequence more efficiently. By introducing the concept of 2Dimensional matrix to minimize the purview scope and optimizing the problem, Tandem Repeat finding algorithm makes the detecting or identifying process more efficient and effective that improves the quality of results. The theoretical analysis and experimental results concludes that tandem repeat finding algorithm get equivalent results in less runtime. This algorithm is better to KMP for determining results, and it also reduces or weaken the runtime cost which is beneficial when DNA data becomes greater.
Fitness Exercise Recommendation System Using Weighted Products

The corona virus pandemic that has been going on since the beginning of 2020 has changed everyone's lifestyle. Even though we are allowed to do activities with health protocols, many people are used to being at home and not exercising so they gain weight. There are also those who want to do fitness exercises but are confused in choosing what type of exercise is appropriate. Doing exercise regularly can help us burn excess calories, but we can't just go on a diet, one of which is to train in the fitness center. So this study discusses the design of a fitness exercise recommendation system using the web-based Weighted Product method. The Weighted Product method evaluates several alternatives to several attributes or criteria, where each attribute is independent of each other. Based on the results of the evaluation of the recommendation system questionnaire to get a success rate of 83.89%, so it can be ascertained that the fitness training recommendation system is successful in implementing the Weighted Product method
Research on Immersion Teaching Method Based on 5G +XR Technology and Reinforcement Learning Model

The traditional teaching mode is difficult to meet the needs of modern teaching development because of its single teaching method and insufficient utilization of resources. With the in-depth application of 5G and XR technology in the field of education, the teaching mode based on 5G + XR has become a research hotspot of educational informatization. Therefore, this paper proposed an immersive teaching method based on 5G + XR technology and reinforcement learning model. By analyzing the characteristics and advantages of 5G technology in the field of teaching, this paper expounded that 5G technology not only had an important impact on the reform of modern teaching mode, but also can promote the development of immersive teaching. In addition, based on the analysis of XR teaching theory and its significance, an immersive XR teaching design method based on reinforcement learning model was proposed, and the working principle of immersive XR teaching system and the architecture method of teaching space were given. Finally, the construction scheme of immersive teaching scene based on 5G + XR and the design idea of immersive XR teaching method were put forward. The experiment showed that the immersive XR teaching method proposed in this paper was better than the traditional teaching mode, whether it was the students' learning effect of knowledge or their participation and experience in learning, which also verified that the method proposed in this paper had certain feasibility and superiority. The immersion teaching method based on 5G + XR proposed in this paper can provide a reference for the reform and development of modern education and teaching mode.
Discriminative Similarity-Balanced Online Hashing for Supervised Image Retrieval

When virtualizing large-scale images of the real world, online hashing provides an efficient scheme for fast retrieval and compact storage. It converts high-dimensional streaming data into compact binary hash codes while saving the structural characteristics between samples into the Hamming space. Existing works usually update the hashing function based on the similarity between input data, or design a codebook to assign code words for each single input sample. However, assigning code words to multiple samples while retaining the balanced similarity of the image instances is still challenging. To address this issue, we propose a novel discriminative similarity-balanced online hashing (DSBOH) framework in this work. In particular, we first obtain the Hadamard codebook that guides the generation of discriminative binary codes according to label information. Then, we maintain the correlation between the new data and the previously arrived data by the balanced similarity matrix, which is also generated by semantic information. Finally, we joined the Hadamard codebook and the balanced similarity matrix into a unified hashing function to simultaneously maintain discrimination and balanced similarity. The proposed method is optimized by an alternating optimization technique. Extensive experiments on the CIFAR-10, MNIST, and Places205 datasets demonstrate that our proposed DSBOH performs better than several state-of-the-art online hashing methods in terms of effectiveness and efficiency.
Design and implementation of traditional kite art platform based on human-computer interaction and WebAR technology

With the rapid development of the Internet and the update and iteration of electronic products, augmented reality technology is widely used in military, medical, education, entertainment and other fields. Compared with traditional AR technology, WebAR can efficiently run on the web browsers of various systems and can be used without additional APP. WebAR achieves the advantages of a light-weight, easy spread and cross-platform. With the development of these digital means, the way of human-computer interaction presentation is also changing with each passing day. It is gradually being loved and sought after by people. In this paper, we propose a traditional kite art platform based on human-computer interaction and WebAR technology, focusing on the types and crafts of kites. Through the use of front-end, three-dimensional (3D) modeling and other technologies on the platform, users can better experience the charm of traditional kite art.
Optimization of Computer Aided English Translation Teaching Model Based on OBE Concept

The current teaching methods and the progress of education mode, to a large extent by computers and network technology push While the development of network multimedia technology, promote the development of the education theory and education system Along with the country to the attention of the digital campus construction, everyday teaching activities and teaching methods and teaching means increasingly update, in the field of education plays an extremely important role.In the course of daily music teaching, how to use multimedia technology to realize the visualization of music teaching; How to improve teaching quality and teaching efficiency; How to optimize and integrate the existing teaching resources, strengthen the management of daily business and teaching resources; How to establish effective teaching mode is the problem to be solved in the process of music teaching.
ANALISIS KEAMANAN WIRELESS LOCAL AREA NETWORK (WLAN) TERHADAP SERANGAN BRUTE FORCE DENGAN METODE PENETRATION TESTING (Studi kasus:RS H.LMANAMBAI ABDULKADIR)

Information and communication at this time absolutely become a basic need that must be met. Even for some people, they need information whenever and wherever they are. And the technology that can fulfill this need is wireless technology. In an interview with Mr. yudi alfiandi as the Information Technology unit. Whereas R S H.L Manambai Abdulkadir often experienced disturbances such as flooding and illegal access. Therefore R S H.L Manambai Abdulkadir needs a network security system analysis in order to ensure that R S H.L Manambai Abdulkadir is good in terms of network security systems, especially wireless networks. Therefore, a standard tool is needed in analysis using the Penetration Testing method. The results of the tests that have been carried out, that access point 1 has a password that is very easy to guess and vulnerable to attacks, so it needs better handling and uses a passphrase.
Analysis on Spatio-Temporal Dynamic Evolution of Relative Resource Carrying Capacity of Coal Cities Based on PLE-EM-CPM Model

Coal cities are the impetus and guarantee of China's economic development.However, the longterm unreasonable exploitation of coal seriously affects the quality of eco-environment and residents' lives in coal cities.This study takes five coal cities in Anhui Province as the research objects, selects ten evaluation indicators of three dimensions based on the production-life-ecology (PLE) model, and improves the evaluation model of relative resource carrying capacity (RRCC).The relative carrying capacity (RCC) of various resources and the relative resource comprehensive carrying capacity (RRCCC) in coal cities from 2010 to 2019 are calculated by entropy-catastrophe progression method to explore the spatio-temporal dynamic evolution of RRCCC in each city, and the critical resistance factors are identified by resistance model.The results show that: (1) There is a particular gap between the RCC of various resources and the existing population resources.(2) RRCCC, with a good development trend in general, is at a relatively strong load level, tending to a strong load level.(3) The level of RRCCC in each city is unevenly distributed, with regional differences.(4) The ecological subsystem had the most significant impact on RRCCC before, and it will be replaced by the production subsystem in the future.