Reviewerly/exHarmony huggingface dataset:
Research of Intelligent Analysis based on 12328 Transportation Service Supervision Hotline Data

Based on large scale of calling record data collected by 12328 Transportation Service Supervision Hotline System, this paper conduct serveral analysis from the hotline's complaint issues. For the urban passenger traffic field, studies on the population-based number of complaint issues were conducted to analyze the operational service level of Shanghai, Beijing and other cities with large populations and relatively well-developed public transportation systems. Frequently reported complaint issues and its time distributions in Shanghai were also concluded as a part of research outcomes. Furthermore, this paper established an assessment method towards complaint issues on urban passenger traffic field, the assessment indicators were designed out of consideration on the perspectives of quantity, efficiency and quality. Combining with the recent hot issues of epidemic prevention and anabatic cargo transportation problem, this paper carried out a text clustering method based on LDA topic method, four types of critical cargo transpotation problems throughout the hotline's receving issues were clustered as the meaningful results of the algorithmic experiment.
PEMBUATAN DAN IMPLEMENTASI SISTEM INFORMASI PENDUKUNG KEPUTUSAN DALAM PENENTUAN DOSEN PEMBIMBING TUGAS AKHIR DI POLITEKNIK NEGERI BALIKPAPAN

As we all know, technology is currently developing very rapidly. Almost all fields of work have used technology related to computer technology, including decision support systems. Based on observations that have been made at Poltekba, especially the Department of Electrical Engineering, the mentoring process is still constrained by the lack of appropriateness in the field of expertise between students and their supervisors. Where this can cause difficulty in consultation between supervisors and students regarding the work on the Final Project to be done. This study offers the implementation of a system that can be used to select prospective Final Project supervisors according to the student's field of expertise, namely designing a Decision Support System to determine the right prospective supervisor. Based on previous research in 2021, a suitable design and system for the selection of the final project supervisor is a Decision Support System with the Profile Matching method. Profile Matching assumes that there is an ideal predictor value that must be achieved, not a minimum value that must be passed, so this method is very suitable if used for the matching process. The results of this final project indicate that the system created has succeeded in choosing a supervisor who is in accordance with the theme taken by the students, with an accuracy rate of 100% between the suitability of manual calculations and system calculations. This is evidenced by comparing the manual calculation process with the system that has been created, where the ranking results show the same results.Keywords: Criteria, decision making, profile matching method
Consortium Blockchain Based Lightweight Message Authentication and Auditing in Smart Home

Currently, smart homes rely heavily on wireless sensor networks (WSNs), which typically consist of wireless sensor nodes with limited resources and are scattered throughout the network.This topology makes them vulnerable to packet sniffing, spoofing, and other malicious attacks, which can result in the leakage of private data collected by devices.Additionally, managing the device key for the entire system becomes difficult as more devices are added.Moreover, the centralization of current cloud service management in smart home systems poses a serious single-point-of-failure problem, and the private data of cloud outsourcing cannot receive strict privacy supervision, ultimately relying entirely on the trust of enterprises.To address these issues, this paper proposes using a consortium blockchain and InterPlanetary File System (IPFS) instead of the existing centralized structure.An improved pairingfree certificateless aggregated signature(CLAS) scheme ensures the security of message authentication and solves the device key management problem.Our scheme reduces the computational and communication overheads at the device side by 50% and 25%, respectively, compared with existing schemes in WSNs.The overall computational overhead is also reduced by 28.6%, making it more suitable for smart home scenarios.Additionally, we use an auditing method based on Merkle root hash verification to ensure the reliability of data storage in IPFS.
Probabilistic Inference-Based Robot Motion Planning via Gaussian Belief Propagation

Robot motion planning via probabilistic inference renders a unique viewpoint on the trajectory optimization problem, in which the joint distribution of motion objectives is represented as a factor graph. Thus, the objectives are solved by obtaining the Maximum a Posteriori of the factor graph. While this distinctly improves the computational efficiency by applying least square optimization, the approach is incapable of handling hard constraints directly. In this work, we put forth an alternate perspective and argue that a message passing framework, such as Belief Propagation, offers greater utility as a solution method for robot planning problems. We present the theoretical formulation of Gaussian Belief Propagation (GaBP) as a generic message passing framework that exploits the structure of the factor graph to solve multiple planning scenarios such as batch planning, incremental planning and re-planning. In addition, the GaBP algorithm has been extended to handle hard state constraints by adopting the Difference Map strategy. We benchmark our framework in a simulation environment. The results show that our algorithms outperform the state-of-the-art with respect to collision avoidance and constraint handling ability within our benchmark. We close this article with the outline of a real-world robotic application within industrial disassembly.
35.56-Gbits/sec Chaos Random Number Generator Supporting 1.2-GSamples/sec Noise Generation

Random number generators (RNGs) and noise generators (NGs) play significant roles in various centralized and decentralized security systems. This brief proposes all-digital FPGA-based RNG and NG based on the chaos system. The proposed chaos RNG (CRNG) adopted Euler method to realize the differential functions of the modifed Lorenz system with a modifed modulo-one unit. The ADC-noise-perturbated initial values are included to generate the random sequences for the proposed CRNG. The proposed chaos NG (CNG) conbines the proposed CRNG with parallel Box Muller processors to generate Gaussian noise signals with the enhanced througput. The proposed CRNG processor and CNG processor were designed and implemented by Xilinx Virtex-7 VC707 FPGA. The proposed CRNG processor achieved a throughput of 35.56Gbits/sec at a clock frequency of 370MHz and the proposed CNG processor achieved a throughput of 1.2Gsamples/sec at a clock speed of 200MHz. Compared with other state-of-the-art works, the proposed CRNG and CNG processors have not only the highest throughputs but also the best hardware efficiency.
Informal shapes of social anomie

The topic of this scientific work is placed in the domain of social anomie. The effects of the action of informal forms of social anomie cause social entropy and indicate the permanent topicality of the topic. Social anomie destroys social processes, devalues institutions and devastates the fundamental values on which the community rests, so the social significance of research is unquestionable. Scientific justification is contained in the need to shed light on phenomena and processes from the domain of social pathology. The aim of the research is to define, classify, sistematize the observed phenomena and to offer optimal solutions to overcome them. The work for the Subject of reserch has: discovering the forms of social anomie, pointing out the harmful effects of these informal forms of social behavior, as well as proposing solutions to overcome the resulting situation in order to remove the harmful effects. In their work, the authors start from: the observation method, the development method, the comparative approach, the cross-cultural method, and the numerous methods of legal sciences. The subject framework of the research moves in the area of: sociology, social pathology, political and legal sciences. We have explained the logic of various forms of institutional action that cause social anomie and violate the basic rules of behavior on which a community rests. Anomic conditions point to illegal activity and violation of basic legal acts. And yet, social anomie goes beyond legal frameworks, pointing to the lack of social rules in regulating social relations that escape legal sanctions. Therefore, it is important to have a collective consciousness, which, among other things, distinguishes the value and moral elements of a community. Public opinion, public pressure, sense of responsibility, institutional procedures, as well as the rule of law, direct actors-in-situation towards those behaviors that significantly reduce anomic conditions.
On Multi-user Security of Schnorr Signature in Algebraic Group Model

The security of Schnorr signature Sch has been widely discussed so far. Recently, Fuchsbauer, Plouviez and Seurin gave a tight reduction that proves EUF-CMA of Sch in the random oracle (ROM) with the algebraic group model (AGM) from the discrete logarithm (DL) assumption at EUROCRYPT 2020. Kiltz, Masny and Pan considered multi-user security of Sch at CRYPTO 2016, whereas Fuchsbauer et al. considered the single-user security only. More precisely, Kiltz et al. constructed a tight reduction from EUF-CMA to MU-EUF-CMA. Combining these two results will likely enable us to construct a tight reduction that proves MU-EUF-CMA security of Sch in AGM+ROM from DL assumption. Against such an intuition, we show an impossibility on proving MU-EUF-CMA of Sch in AGM+ROM only by combining them in this paper. To estimate our impossibility result, we also discuss why the result by Fuchsbauer et al. cannot be applied to MU-EUF-CMA setting. Our result therefore suggests that we are required to develop a new proof technique beyond the algebraic reduction or to find a new form of public keys other than that considered in our impossibility, in order to show MU-EUF-CMA of Sch in AGM+ROM.
IMPROVING READING AND WRITING SKILLS THROUGH SYNTHETIC STRUCTURE ANALYSIS (SAS) METHOD FOR STUDENTS OF CLASS 1 SD NEGERI 2 TAKIMPO, DISTRICT OF BUTON, SOUTHEAST SULAWESI

Improving reading and writing beginning through the synthetic structure analysis method (SAS) as the focus of research departs from the reality in the field and the results of interviews with Indonesian teachers who are also grade 1 teacher at SD Negeri 2 Takimpo, generally in teaching reading and writing beginning using synthetic analysis structure methods but has not been implemented optimally, so students have not been able to read and write fluently. Based on this, this research is focused on learning to read and write beginning. The aim is to improve the reading and writing skills of the beginning students of class 1 SD Negeri 2 Takimpo by using the synthetic structure analysis method. The approach used in this research is a qualitative approach with an action research design. The research design was prepared using recycling cycle units including (1) planning, (2) implementation, (3) observation, (4) reflection. Reflection is carried out at the end of the cycle which is used as the design for the preparation of the next cycle planning. The stages of implementing the action are carried out collaboratively between researchers and practitioners. The form of learning to read and write beginning which is believed to be able to improve students' initial reading and writing skills is a form of learning that uses the implementation of the synthetic structure analysis method which consists of two parts, namely learning without using books and learning using books. The implementation is carried out in three stages, namely (1) the pre-reading and pre-writing stages, (2) the reading and writing stages, (3) the post-reading and post-writing stages. Based on process evaluation and evaluation of results in each lesson and based on success criteria, it was agreed in this study that it had been stated that (1) learning in the first cycle of action, both in terms of process and results had not been successful, there were still reading students who had not been able to pronounce letters perfectly, and in writing there are still deficiencies in letters in words, (2) learning in cycle II, both in terms of process and results have been successful, students are able to read and write sentences, (3) action learning in cycle III, both process and results have been successful, students are able to read and write using books.
PELATIHAN PEMBELAJARAN BAHASA INGGRIS BERBASIS BLENDED LEARNING BAGI GURU-GURU TK DAN SD DI BANDAR LAMPUNG DI MASA PANDEMI COVID-2019

The Covid-19 pandemic that hit the whole world in 2020, which is still occuring, has had a tremendous impact on all sectors, including the education sector. Online learning inevitably becomes one of the alternatives that must be carried out by policy makers to allow teaching and learning activities to continue. Currently, with the start of limited face-to-face learning, teachers still have to utilize technology to combine online and offline learning, which is also known as Blended Learning. This service uses training methods and is carried out online and offline. The target of this activity is elementary and kindergarten teachers who teach English in the city of Bandar Lampung. Based on the results of this activity, more than 85% of participants were able to apply to Google Classroom and also Zoom Meeting. In addition, participants are also able to create English learning materials for children that can be applied both online and offline.
PENDAMPINGAN PENGGUNAAN BAHAN AJAR MATEMATIKA BRAILLE 3D

In learning mathematics so far, low-vision students only use ordinary braille books. The use of this braille book cannot help students to know the real shape of the object being studied. One form of updating teaching materials for low-vision students is the use of 3D media contained in teaching materials. The objectives of this service activity are: (1) Provide knowledge about teaching materials needed for low vision students, (2) Provide assistance to teachers at SLB Negeri Metro in using 3D Braille mathematics teaching materials, and (3) Provide knowledge of making 3D media on teaching materials braille math. The form of activity provided in this activity is in the form of assistance in the use of 3D Braille mathematics teaching materials. From this activity, the teacher gains knowledge about: (1) how to prepare teaching materials, (2) preparation of learning tools, (3) the use of mathematics teaching materials, and (4) the use of 3D braille mathematics teaching materials. The understanding obtained by the teacher after participating in this service activity was: (1) 100% for the preparation of teaching materials and the use of 3D Braille mathematics teaching materials, (2) 96% for the preparation of learning tools and the use of mathematics teaching materials. Before the activity was held, the teacher only knew about the usual use of braille teaching materials and had some obstacles in compiling independent teaching materials. After this activity, the teacher became more aware of how to use Braille mathematics teaching materials, which could be accompanied by 3D media to make it easier for low-vision students to understand. In addition, teachers also understand more about how to compile teaching materials and learning tools.
PELATIHAN PENULISAN KARYA ILMIAH BAGI GURU SEKOLAH DASAR

The profession as a teacher is required to have the ability to write scientific papers. This is stated in the Regulation of the Minister for Empowerment of State Apparatus and Bureaucratic Reform No. 16 of 2009 concerning Teacher's Functional Positions and Credit Scores. In addition, writing scientific papers can be a medium for sharing knowledge related to educational innovation. Therefore, the purpose of this activity is to increase the interest, knowledge, and skills of teachers in writing scientific papers. This community service activity was carried out with a target of 20 elementary school teachers in Metro City. This training activity has 2 stages, the presentation of material about writing scientific papers and the practice of writing scientific papers. Based on the data from the implementation, the training went well. However, there are obstacles to its implementation, namely: at the pretest and post-test stages in the form of an internet connection. In addition, this training was quite effective in increasing participants' knowledge of scientific writing with an n-gain of 0.303. The results of this activity become a reference for policymakers to organize teacher improvement programs in scientific writing and publications.
A Tribute to Vladimir Morkov (The Czar’s Guitars)

A review of A Tribute to Vladimir Morkov, by The Czar’s Guitars (John Schneiderman &amp; Oleg Timofeyev) (Hänssler Classic HC20018, 2020, 2 compact discs).
Leo Brouwer: Guitar Sonatas, Ricardo Gallén

A review of Leo Brouwer: Guitar Sonatas, Ricardo Gallén.
Timbre-Based Composition for the Guitar: A Non-Guitarist’s Approach to Mapping and Notation

Composing for the guitar can be intimidating for non-guitarists, but their fresh perspectives can uncover new ways of thinking about music for the instrument. This paper discusses timbre-based composition, an approach to writing for guitar that may be more intuitive for non-guitarist composers than traditional polyphonic composition. The rich palette of timbres available on the guitar, including pitched and nonpitched sounds, is conceived as primary compositional material. Issues of notation and mapping are addressed, focusing on three categories of mappings: (i) physical mapping from notational symbols onto physical objects, such as parts of the guitar; (ii) analogical mapping from notational symbols onto models from other domains, such as vowels; and (iii) organizational mapping from notation onto musical structures, especially nonlinear structures. The paper argues that notation should not be viewed as a closed system within which the composer is bound to work, but as an open system over which the composer has a certain amount of creative control, which may be modified freely to reflect the particular problems and solutions of a given project.
Soundboard Scholar no. 6: Cover

Our cover image is an adaptation by Colleen Gates of two images by Milton Mermikides of beat circles, discussed in his article "Monitored Freedom" (in this issue, pp. 36–54). In each circle, a typical range of swing values is marked up with rhythmic cents (in 5-cent intervals) alongside notated landmarks with “harmonic ratio” labels. Subjective descriptive terms are also included.
Breaking the Matrix: Transcribing Bartók and Ligeti for the Guitar Using a New Capo System

This paper demonstrates new transcriptions for the guitar of four piano pieces from the twentieth century: “The Night’s Music” from Bartók’s suite Out of Doors and Ligeti’s Musica ricercata, nos. 1, 2, and 7. The transcriptions deploy various newly invented single- and double-string magnet capos: I describe their design and, drawing on the work of De Souza, explain how their use transforms the affordances of the fretboard. In combination with scordaturas, the capos can be used to generate a series of radically altered open-string sets. Turning to the transcriptions of Bartók and Ligeti: by observing the pitch centers within their non-tonal structures, an open- string set can be generated that makes transcription possible. Excerpts from the transcriptions show how idiomatic features of the piano originals, such as contrast in register, can be mapped onto other idiomatic features of the guitar, such as contrast in timbre. The conclusion of the paper discusses how musical intention can connect with technological innovation, opening the way to an adaptable guitaristic interface with fresh potential for transcription and composition.
Soundboard Scholar no. 5: Editor's Letter

An introduction to the contents of this issue.
The Impact of Virtual Assistant Advice on Human Trust: An Investigation in a game scenario

This study investigated the impact of incorrect advice given by virtual assistants on people’s trust. An interactive memory game using a virtual robotic agent was developed, and a study was conducted with 25 participants. The study was divided by conditions; in some, the agent gave wrong clues about cards; in others, it gave the right ones. The results suggest that the players’ perceptions of the agent were affected by its behaviour. Also, the person’s trust towards the agent was affected first by the task itself and secondly by the agent’s behaviour being or not obstructive. The study contributes to a better understanding of how virtual assistants affect human decision-making and reliance and to the development of more engaging and interactive virtual assistants. Future research could use these findings to develop more effective virtual assistants that foster greater user trust and engagement.
UTILIZING SHORT STORIES TO IMPROVE VOCABULARY OF 8th GRADERS JUNIOR HIGH SCHOOL

This study was conducted to analyze the use of English short stories to improve the vocabulary mastery of 8th grade students at a public junior high school in Surabaya and their perceptions towards the use of English short stories. The researcher used the Classroom Action Research (CAR) method, involving 28 students (13 males, 15 females) with varying abilities. Data was collected through tests and interviews related to the use of English short stories. According to the analysis, this study revealed that English short stories helped students improve their vocabulary skills (Mean: 68 &gt; 72 &gt; 80). Moreover, the students also had a positive perception of the use of English short stories.
Make A Long Image Short: Adaptive Token Length for Vision Transformers

The vision transformer is a model that breaks down each image into a sequence of tokens with a fixed length and processes them similarly to words in natural language processing. Although increasing the number of tokens typically results in better performance, it also leads to a considerable increase in computational cost. Motivated by the saying "A picture is worth a thousand words," we propose an innovative approach to accelerate the ViT model by shortening long images. Specifically, we introduce a method for adaptively assigning token length for each image at test time to accelerate inference speed. First, we train a Resizable-ViT (ReViT) model capable of processing input with diverse token lengths. Next, we extract token-length labels from ReViT that indicate the minimum number of tokens required to achieve accurate predictions. We then use these labels to train a lightweight Token-Length Assigner (TLA) that allocates the optimal token length for each image during inference. The TLA enables ReViT to process images with the minimum sufficient number of tokens, reducing token numbers in the ViT model and improving inference speed. Our approach is general and compatible with modern vision transformer architectures, significantly reducing computational costs. We verified the effectiveness of our methods on multiple representative ViT models on image classification and action recognition.