Reviewerly/exHarmony huggingface dataset:
Internet of things data compression based on successive data grouping

Internet of things (IoT) is a useful technology in different aspects, and it is widely used in many applications; however, this technology faces some major challenges which need to be solved, such as data management and energy saving. Sensors generate a huge amount of data that need to be transferred to other IoT layers in an efficient way to save the energy of the sensor because most of the energy is consumed in the data transmission process. Sensors usually use batteries to operate; thus, saving energy is very important because of the difficulty of replacing batteries of widely distributed sensors. Reducing the total amount of transmitted data from the perception layer to the network layer in the IoT architecture will save the energy of the sensor. This paper proposes a new IoT data compression method; it is based on grouping similar successive data together and sending them as one row with a total number of occurrences. The decision of similarity is done by comparing the root-mean-square successive difference calculated on the training dataset. The evaluation of the proposed method was performed on the Intel Lab dataset and the compression performance of the proposed method was compared with other compression methods, where a great enhancement was achieved; the compression ratio was 10.953 with a reconstruction of temperature data error equal to 0.0313 °C.
Toward Efficient Trajectory Planning based on Deterministic Sampling and Optimization

The solution of optimization-based planners depends heavily on a good initialization and their run-time is often non-deterministic, especially in dense obstacle fields. Sampling-based planning, whether probabilistic or deterministic, is a well-established method for exploring the search space. However, the downsides are also obvious: potentially intractable computational overhead, the curse of dimensionality and the sub-optimality due to discretization. Motivated by this observation, this paper introduces a real-time trajectory planning algorithm based on the combination of sampling and optimization approaches, which is applicable to autonomous vehicles operating in highly constrained environments. A maximum corridor width region and initial drivable path are firstly extracted from deterministic sampling. Then the initial path is further optimized through a splined-based quadratic programming and appended with a speed profile. This planner is scalable to both high-speed off-road scenarios and structured urban driving.
Constructing a Methodology for Developing a Cybersecurity Program

This paper serves to introduce the problem of constructing a methodology to develop a cybersecurity program.The goal of the program is to prepare students graduating from an accredited two-year college for success in cybersecurity careers.Several challenges must be addressed such as program accreditation, workforce development, and DHS/NSA Center of Academic Excellence in Cyber Defense (CAE-CD) designation.All of these serve as inputs in constructing a methodology to develop such a program to meet local industry needs for cyber professionals.
Pemanfaatan Aplikasi Android Dalam Rancang Bangun Sistem Informasi Persebaran Indekos di Wilayah Pancor Kabupaten Lombok Timur

Hamzanwadi University is a private university in Selong City, East Lombok, West Nusa Tenggara. As one of the education centers for Hamzawandi University, of course, there will always be thousands of new students from various regions every year. Likewise with the distribution of boarding houses which will be the target of students who come from outside the Pancor - Selong area to look for the boarding house. A boarding house is one of the places for lodging service providers or a temporary residence. [1] Often encountered the availability of boarding rooms that are not comparable with boarding-boarding seekers is a problem for both parties (boarder and owner). Therefore boarding seekers must find information more quickly in order to get an appropriate place to live, be it in terms of room completeness or boarding price. Meanwhile, boarding house owners still do promotions manually, namely from the mouth of their mouth and usually stick the name of the boarding house in front of the boarding gate. With this problem, the researchers tried to create an android-based boarding information system to solve the problem. This android-based boarding information system is an application that can be used by newcomers from outside the Pancor - Selong area who feel confused in finding a boarding house that suits their wishes, as well as helping boarding owners in promoting their boarding houses. In its design, this application is carried out using the waterfall methodology, in which the waterfall is a system development method that begins with the analysis stage, then system design and implementation of making applications and testing it to the user. This system uses the Java programming language with programming software that utilizes Android Studio
Mitigating Phishing Attack in Organisations: A Literature Review

Email is a channel of communication which is increasingly used by individuals and organisations for exchange of information. It is considered to be a confidential medium of communication but this is no longer the case as attackers send malicious emails to users to deceive them into disclosing their private personal information such as username, password, and bank card details, etc. In search of a solution to combat phishing cybercrime attacks, different approaches have been developed. However, the traditional exiting solutions have been limited in assisting email users to identify phishing emails from legitimate ones. This paper reveals the different email and website phishing solutions in phishing attack detection. It first provides a literature analysis of different existing phishing mitigation approaches. It then provides a discussion on the limitations of the techniques, before concluding with an exploration into how phishing detection can be improved.
The Influence of Organisational Climate on Knowledge Management: A Literature Review

Knowledge is considered to be a strategic resource that helps to leverage the effectiveness of an organisation and is classified into two types: tacit knowledge and explicit knowledge. Tacit knowledge is acquired through long-term experience and cognition while explicit knowledge is a formal knowledge which can be easily shared or transferred. Knowledge management is considered to be an emerging concept in an era of rising global competition that helps to organise and channel the valuable knowledge resource of an organisation and which may therefore ultimately lead to the success of that organisation. However, a cooperative and innovative organisational climate might play a vital role in different aspects of knowledge management with regard to knowledge acquisition, knowledge storage and knowledge sharing. This paper aims to review the literature in the area of knowledge management as well as the influence of organisational climate on knowledge management through the effective flow of tacit knowledge andprovide a clear and systematic overview of it. Thus, this study tries to highlight the research gap in the course of reviewing the relevant literature and also attempts to investigate, from the relevant literature, the in-depth relationship, if any, between organisational climate and tacit knowledge management in particular and ultimatelyknowledge management in general.
A Novel Threshold Changeable Secret Image Sharing Scheme

In secret image sharing, the image is divided into several stego images, which are managed by corresponding participants. The secret image can be recovered only when the number of authorized participants is no less than the threshold. Thus, it is widely used to protect essential images, such as engineering drawings and product design drawings. In the traditional secret image sharing scheme, the threshold is fixed and unique. However, in practice, the security policy and the adversarial structure may change; therefore, the threshold must be adjusted dynamically. In this paper, we propose a novel secret image sharing scheme with a changeable threshold capability. Our scheme eliminates the limit of the changeable threshold and reduces the computation required. Also, our scheme is the first threshold changeable secret image sharing scheme that can recover an undistorted cover image. The theoretical analysis shows that our scheme is safe even if the threshold is changed. The experiments demonstrated that the stego image generated by our algorithm has better quality than other changeable-threshold, secret image sharing algorithms.
Penerapan Data Mining untuk Mengcluster Data Penduduk Miskin Menggunakan Algoritma K-Means di Dusun Bagik Endep Sukamulia Timur

The occurrence of poverty in the community is caused by a condition of the economic inability of the head of the family to meet the primary / basic needs of his family, namely the need for clothing, food, shelter and education. The poor community itself can be found in almost every country, city and region, for example in one of the Bagik Endep hamlets of East Sukamulia Village. Based on these conditions, it is necessary to carry out clustering to assist the village government in grouping poor families, so that assistance can be distributed appropriately. By observing the above problems, Data Mining is needed to classify aid recipients using the K-Means method in clustering the poor. Where the K-Means Clustering Algorithm method aims to classify population data in the East Sukamulia region who are said to be classified as poor. The data used is data on the population of East Sukamulia in 2019, amounting to 200 data with 9 attributes, namely the name of the population, occupation, income / month, the number of children attending elementary school, the number of children attending junior high school, the number of children attending high school, the number of children attending college , the number of children who are not in school and the number of family members. Based on the results of tests carried out by applying the K-Means algorithm, the results obtained are Cluster 1 totaling 18 residents with the criteria of high economic population, Cluster 2 totaling 72 residents with moderate economic population criteria, and Cluster 3 totaling 110 residents with low economic population criteria. The K-Means method is expected to be able to assist the government of Sukamulia Timur Village in making decisions and finding the information needed to solve problems in recording the poor population accurately
Research on the Construction of English Autonomous Learning Monitoring Mode under the Background of Big Data

The era of big data is coming, the combination of big data and traditional teaching can provide more and more accurate services for students' self-learning, and it is a good way to teach students according to their aptitude. In this background, a learning society is coming, which aiming at learning, autonomous learning and lifelong learning. Learning society emphasize the ability of learning autonomy for students unprecedentedly. Learning is no longer limited to the campus. Learning ability will accompany learners' social life and become an active and healthy lifelong activity. Autonomous learning is a learning theory that goes with the requirements of The Times and has a broad development prospect. The study of Autonomous learning not only has a very important guiding significance for the educational and teaching practice in China, but also plays an important role in the life development of every student. The subject of learning is gradually transferred from the classroom, teachers and textbooks to the students themselves. Teachers should not only impart knowledge and answer questions, but also, most importantly, teach students how to exert their autonomy in autonomous learning. After investigating and researching the existing monitoring model of autonomous English learning in colleges and universities, our group found that in practice, there is a lack of corresponding monitoring mechanisms and means, and autonomous learning has gradually become formalized. Therefore, according to the actual situation of autonomous English learning in our country's universities, the monitoring model of autonomous English learning has been reconstructed, and an effective comprehensive evaluation system has been established to effectively improve students' English learning ability.
DEVELOPING BILINGUAL POP-UP BOOK MEDIA ON THE MATERIAL ABOUT AYAM JAGO BARU FAIRY TALES FOR STUDENTS’ SPEAKING SKILLS

This research aim ed to determine the steps for the development and feasibility of bilingual Pop-up Book learning media for fairy tale material. The research method was Research and Development (R&amp;D) method, referring to Borg and Gall model adapted by Sugiyono. This model consist ed of 10 stages (1) potentials and problems (2) data collection (3) product design (4) design validation (5) design revision (6) small group product trials (7) design revision (8) testing large group products (9) final stage product revision (10) mass production. However, in this study it was only limited to 6 stages. Expert validation was carried out by material experts, linguists, and media experts . The subjects of th is research were grade III students at SDN Unyur, totaling 10 students for limited product trials. The results showed that the percentage of material expert validation was 79% with feasible category ; the linguist validation score was 79% with feasible category ; the media expert validation score was 89% with very feasible category ; and the assessment score in limited trials was 82% with very good category. Based on the research results, it was concluded that bilingual pop-up book media was suitable for learning to read fairy tales.
Transactions Process in Advanced Applications on Ethereum Blockchain Network

Blockchain technology has lately gained notability as a way of creating diffused trust-free systems, where economic transactions are guaranteed by the underlying blockchain. Transaction is how the extraneous world interconnect with the Ethereum network. Transactions are used when we have an inclination to amend or apprise the state stored in the Ethereum network. In this paper we have explained the role played by transactions in the Ethereum network, how they can be implemented by execution of certain programs and how these programs are executed are important aspects to gain a deep understanding of Ethereum blockchain network. Blockchain technology requires an in depth understanding of its advantages, disadvantages and how it can be employed in various fields of technology. Innovative solutions that go beyond crypto-currencies such as Bitcoin may have the potential for fundamentally changing society.
A Non-Blind Robust and Impercept Watermarking Using Discrete Cosine Transform and Discrete Wavelet Transform

Non-blind watermarking is a form of watermarking with a watermark image validation process that requires a host image. The use of the transform domain is more robust and imperceptible. The transform domain method is resistant to various forms of digital image attacks. In this study, Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) were selected as watermark insertion algorithms. DCT is faster and more resistant to attacks, especially in image compression attacks, but has lower imperceptibility than DWT. DWT is also known to be resistant to noise attacks, filtering, blurring, cropping, and has high imperceptibility depending on the sub-band selection but is not resistant to image compression attacks. Based on each algorithm's advantages and disadvantages, there is an opportunity to combine it to analyze and compare the insertion results with DCT and DWT itself. To test the results of imperceptibility, we used the Peak Signal to Noise Ratio (PSNR), while to test the robustness, we used Cross-Correlation (CC) and Bit Error Ratio (BER). Without attacks, the PSNR on the proposed method can reach 71 dB. The CC value without attack can reach a perfect value of 1 and BER = 0. The highest attack test result is CC = 1 on the filtering attack. From the various tests we have conducted, it has been proven that the DCT-DWT is more imperceptive and robust than previous studies
Susceptibility of domain experts to color manipulation indicate a need for design principles in data visualization

Color is key for the visual encoding of data, yet its use reportedly affects decision making in important ways. We examined the impact of various popular color schemes on experts’ and lay peoples’ map-based decisions in two, geography and neuroscience, scenarios, in an online visualization experiment. We found that changes in color mappings influence domain experts, especially neuroimaging experts, more in their decision-making than novices. Geographic visualization experts exhibited more trust in the unfavorable rainbow color scale than would have been predicted by their suitability ratings and their training, which renders them sensitive to scale appropriateness. Our empirical results make a strong call for increasing scientists’ awareness for and training in perceptually salient and cognitively informed design principles in data visualization.
Analisis Pemanfaatan Media Daring dalam Pembelajaran Matematika Ditinjau dari Kemandirian Belajar Siswa di Kelas XI SMAN 1 Koto Balingka

&#x0D; &#x0D; &#x0D; &#x0D; Covid pandemic 19 has had a huge impact on education. Large-scale social restrictions make learning only possible at home. Teachers must have alternative means so that learning can be carried out so that learning objectives can be achieved properly. One of the learning media that can be used is learning media through the internet network (online). Online media that can be used include whatsapp, google classroom, zoom, etc. The purpose of this study is to see whether learning through online media can be carried out well in class XI of SMAN 1 Koto Balingka. This research is a descriptive study, literature study and survey method through the analysis of learning documents such as assignments and achievement of students carrying out the tasks given through whatsapp online media. The results of this study are through analysis it can be seen that learning conducted through online is less well implemented because of the internet network constraints where students live less well and burdened students with internet quotas and the still presence of students do not yet have the means for online learning.&#x0D; &#x0D; &#x0D; &#x0D;
Low Distortion of Noise Filter Realization with 6.34 V/μs Fast Slew Rate and 120 mVp-p Output Noise Signal

In order to reduce Gaussian noise, this paper proposes a method via taking the average of the upper and lower envelopes generated by capturing the high and low peaks of the input signal. The designed fast response filter has no cut-off frequency, so the high order harmonics of the actual signal remain unchanged. Therefore, it can immediately respond to the changes of input signal and retain the integrity of the actual signal. In addition, it has only a small phase delay. The slew rate, phase delay and frequency response can be confirmed from the simulation results of Multisim 13.0. The filter outlined in this article can retain the high order harmonics of the original signal, achieving a slew rate of 6.34 V/μs and an almost zero phase difference. When using our filter to physically test the input signal with a noise level of 3 Vp-p Gaussian noise, a reduced noise signal of 120 mVp-p is obtained. The noise can be suppressed by up to 4% of the raw signal.
Too Busy to Monitor? Board Busyness and the Occurrence of Reported Information Security Incidents

This paper investigates the association between board busyness (i.e., directors with multiple positions) and the occurrence of reported information security incidents.Building on prior studies of board busyness, this paper argues that directors holding multiple board seats may fail to commit the time and effort necessary to ensure the appropriate information security strategy or investment plans are in place.Our results demonstrate that board busyness is positively associated with reported information security incidents.This effect is larger when independent directors are busy, thus suggesting the importance of the governance role played by independent directors in managing information security risks.The board of directors' role has been emphasized in anecdotal evidence and IT governance frameworks, but our study empirically demonstrates the board's relevance in information security strategy and management.
Mitigating deficiencies of generation Z through new educational methodologies in a business statistic course

Nowadays, most of the students in first course at University are from the so-called Generation Z. Since a young age, these students have been used digital technology such as internet, mobile phones, tablets and laptops developing certain skills. But a large majority of these students have some deficiencies such as low knowledge of mathematics, scarce levels of motivation, concentration or logical reasoning and little patience (they want to understand everything quickly). These characteristics must be improved being a hard work to do by teachers. New educational methodologies are being adapted taking into account these digital skills and mitigating the deficiencies observed in some students. This paper presents an analysis of the impact of using new methodological techniques in a business statistics course. The work focuses on the problem of increase the student´s motivation through the use of new digital tools such as video-lessons, screencasts and flipped classroom combined with neuroeducation techniques. Our hypothesis is mitigating the deficiencies of students through increasing their motivation. A multiple linear regression model to a set of students is carried out. Empirical results show, in general, that females take advantage of this methodology implemented better than males. Moreover, students with “good” performance reach better outputs (higher final score and a deeper knowledge of the subject) if additional methodological tools are implemented in the traditional class. While, there is not improvement for “bad” students.
Utilization and Effectiveness of ICT as Agricultural Information Delivery System in Thakurgao, Bangladesh

The study was conducted in Thakurgaon sadar Upazila to determine farmers’ perception of the extent and factors of ICTs effectiveness in transferring farming information. A total of 250 people who were already been taken services from different ICT center was selected as sample respondents following a random sampling technique. Primary data were collected using a predesigned interview schedule. Findings revealed that 57.2% of the respondents contacted with Union Digital Center while 38.8% contacted with government own ICT center AICC (Agricultural Information and Communication Center) for their farming-related information. Majority (79.2%) of the respondents opined that they have utilized ICTs moderately to highly whereas three-fourth of the respondents found ICTs moderately to extremely effective in transferring farming technology. Uninterrupted electricity supply, high speed of internet, providing regular training on ICTs, skilled staff and technicians for ICTs and provision for repairing ICT tools are being perceived as significant factors of ICTs effectiveness. Near future, ICT may offer a great opportunity to facilitate the flow of information and technology service delivery to the rural people of Bangladesh.