File Content Research Articles

HTA63 Implementation and Application of the Physician Information System (Arztinformationssystem, AIS) in Germany

Since July 2020, detailed information on German benefit assessments of medicinal products provided by the physician information system (Arztinformationssystem, AIS) must be included in practice management softwares. For this purpose, the G-BA publishes a machine-readable version of the decisions available as a regularly updated XML file twice a month. The objective of this analysis was to present the content of the XML file and possible applications of this data for the AIS and other purposes.

Dynamic Caching for Files With Rapidly-Varying Features and Content

Proactive caching shows great potential to minimize peak download rates by caching popular data, in advance, at the edge. Fast-changing file features, such as fast-changing file popularities and fast-changing file contents (data freshness), represent a challenge for proactive caching if cache content update is much slower, which decreases the efficiency and usability of caching. We present a dynamic caching scheme that updates local user caches and optimizes the use of caching resources. The developed scheme index-code the updates with the delivery messages. The developed scheme is presented for a network with one cache-enabled server, that has a pool of files, communicating with <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula> cache-enabled receivers with requests limited to the server’s file pool. The developed scheme assumes partial knowledge of features variation. Asynchronous file delivery is assumed as a result of non-flexible receivers’ request timing. We show that the file delivery messages can be used to proactively and constantly update the receivers’ finite caches by index-coding the update messages with delivery messages at no additional rate-cost. We also show that this mechanism reduces the downloaded traffic and can be used to reduce other QoS metrics.

Design and Implementation of EMU On-board Data Protocol Management System

In view of the problems of various types, frequent upgrades and inconsistent standards of WTDS on-board protocols and fault dictionaries of EMU, sort out various on-board protocol documents and fault dictionaries of EMU on the whole railway. Analyse the differences of various on-board protocols and fault dictionaries of multiple units of different vehicle types and batches, and study the unified and standardized management method. Design a EMU on-board data protocol management system with complete business functions, standard specifications, safety and reliability, and realize the functions of structuring the content of the protocol file, version of the protocol file, process management, etc., so as to provide data support for EMU data mining and PHM application.

Implementasi Fungsi Hash Dengan Algoritma Sha-256 Pada Aplikasi Duplicate Image Scanner

Nowadays we are in the era of the digital world, there are lots of equipment that has a tool for recording photos in the form of a camera on a smartphone. The weakness of smartphones is the small storage space, so users must be good at managing files stored on the smartphone. There are so many applications in smartphones that provide facilities for sharing images. This of course will greatly burden the storage space of the smartphone because it stores image files which are generally large in size, especially if the image files are the same or duplicate, of course it is very burdensome for storage space. It will be very difficult to distinguish an image file without looking at the contents of the image file. So if you want to distinguish one image file from another, the user must see the contents of the image file and this will certainly be very difficult. For that we need a method that can be used to identify the same image file or duplicate image files so that a decision can be made to delete the duplicate document files so as to save storage space. In cryptography there is a hash function which is a one-way function that can generate the identity of a file, where if the image file contains the same content, it will produce the same hash value. It can be used to identify the same or duplicate image files. In the hash function there is the SHA-256 method or the Secure Hash Algorithm 256 which is one of the hashing algorithms that is often used to encrypt data with a length of 256 bits. By applying this algorithm to the file scanner application, the results of the image file search are grouped based on the same hash value and users can make it easier and faster for users to delete duplicate image files without having to open and view the contents of the file.

Music for Nine Post Cards jako przykład kankyo ongaku, czyli „muzyki unoszącej się w powietrzu jak dym”

Music for Nine Post Cards as an Example of Kankyo Ongaku i.e ‘Music that Floats in the Air Like a Smoke’ The aim of the article is an attempt to present the genesis and describe the first compositions that formulated the Japanese ambient trend, i.e. kankyo ongaku. The subject of the research is both the history of the creation of the series by Hiroshi Yoshimura, Music for Nine Post Cards, which became the cornerstone of later albums from the ambient and minimal music trend in Japan, as well as individual works included in the cycle under study. Based on the results of the automated and auditory analysis of Music for Nine Post Cards, the structure of musical works and their stylistic features are determined. For automated analysis, Sonic Visualiser was used—an application used to create a graphical visualisation of the music content of audio files. As a result of the research, the answer was obtained as to how Hiroshi Yoshimura and Satoshi Ashikawa realised the original assumptions of kankyo ongaku.

Utilising Building Information Models in Facility Maintenance and Operations

Utilising the digital capital of buildings, including building information modelling (BIM), is crucial for building owners from the perspective of high-level maintenance. This case study concerns a company in which building information models are received as files complying with the Industry Foundation Classes (IFC) standard. An analysis of the information content of the IFC files was performed to investigate whether the files, which were generated in a construction project using traditional procedures, contained relevant information for maintenance. The critical needs were evaluated based on the aspects highlighted in an online survey. As a result, essential content requirements for BIM are presented for facility maintenance and operations (FMO). It has been shown that existing building information models cannot close the information gap from a facility maintenance perspective. Still, they have significant potential due to their ability to contain technical information and provide a graphical representation. With information exchange requirements (IERs), a great deal of progress could be made by utilising BIM for FMO. A property service company’s capabilities must also be evolved before the benefits of digital capital can be reaped. This paper provides insights for developing the information content of computerised maintenance management systems (CMMS) and demonstrates the crucial need to harmonise them using BIM. Finally, as a new use case for BIM, this paper presents an operations and maintenance model (OMM).

A model for a practical evaluation of a DASH-based rate adaptive algorithm over HTTP

The proliferation of multimedia devices and user-generated content has driven a massive growth in Internet traffic for video streaming. There is a dire need to propose such solutions that can address multimedia streaming issues to achieve a user’s quality. Dynamic adaptive streaming over HTTP (DASH) improves the user’s quality through practical systems with limited bandwidth that enables the streaming media to run smoothly. This modern technology makes it easy to improve user perception and define the media presentation description (MPD) in terms of Uniform Resource Locator, content file, etc. The proposed adaptation algorithm attempts to determine the optimal solution to alleviate the conflict between maximizing the video quality and avoiding buffer stalls. We evaluate the proposed algorithm against alternative solutions such as ALDASH and FDASH for video content by taking into account the video bitrate, buffer level, and video bitrate switches for the single-user environment. A set of experiments have been conducted to investigate and analyze the benefits of our proposed algorithm. Our proposed algorithm is tested using the NS-3 network simulator, which shows that it improves video quality performance when compared to ALDASH and FDASH in terms of user satisfaction. Last but not least, the experimental results of our proposed algorithm provide high viewer quality in adaptive streaming as compared to its compititors.

Perancangan Aplikasi Duplicate Image Scanner Menerapkan Algoritma MD5

Currently we are in the era of the digital world, there are lots of equipment that have tools to record photos in the form of cameras found on smartphones. The weakness of smartphones is the small storage space, so users must be good at managing files stored on the smartphone. There are so many applications in smartphones that provide facilities for sharing images. This of course will greatly burden the storage space of the smartphone because it stores image files which are generally large in size, especially if the image files are the same or duplicate, of course it is very burdensome for storage space. It will be very difficult to distinguish an image file without looking at the contents of the image file. So if you want to distinguish one image file from another, the user must see the contents of the image file and this will certainly be very difficult. For that we need a method that can be used to identify the same image file or duplicate image files so that a decision can be made to delete the duplicate document files so as to save storage space. In cryptography there is a hash function which is a one-way function that can generate the identity of a file, where if the image file contains the same content, it will produce the same hash value. It can be used to identify the same or duplicate image files. In the hash function there is the MD5 method or Message Digest 5 which is one of the hashing algorithms that is often used to encrypt data with a length of 128 bits. By applying this algorithm to the file scanner application, the results of the image file search are grouped based on the same hash value and users can make it easier and faster for users to delete duplicate image files without having to open and view the contents of the file

Blockchain Private File Storage-Sharing Method Based on IPFS.

Under the current national network environment, anyone can participate in publishing. As an important information resource, knowledge files reflect the workload of publishers. Moreover, high-quality knowledge files can promote the progress of society. However, pirated inferior files have the opposite effect. At present, most organizations use centralized servers to centrally manage the knowledge files released by users. In addition, it is necessary to introduce an untrusted third party to examine and encrypt the contents of files, which leads to an opaque process of file storage transactions, tampering with intellectual copyright, and the inability to have consistent systems of file management among institutions due to the lack of uniform standards for the same intellectual files. The purpose of this paper is to ensure the safe storage of knowledge files on the one hand and to realize efficient sharing of copyrighted files on the other hand. Therefore, this paper combines NDN (Named Data Network) technology with a distributed blockchain and an Interplanetary File System (IPFS) and proposes a blockchain knowledge file storage and sharing method based on an NDN. The method uses the NDN itself for the file content signature and encryption, thereby separating the file security and transmission process. At the same time, the method uses a flexible NDN reverse path forwarding and routing strategy, combining an IPFS private storage network to improve the safety of the encrypted data storage security. Finally, the method takes advantage of all participating nodes consensus and shares files in the synchronized blockchain to ensure traceability. This paper introduces the structure and principles of the method and describes the process of file upload and transfer. Finally, the performance of the method is compared and evaluated, and the advantages and disadvantages of the method and the future research direction are summarized.

Energy-Efficient Resource Allocation for UAV-Assisted Vehicular Networks With Spectrum Sharing

Vehicular networks are envisioned to deliver data transmission services ubiquitously, especially in the upcoming autonomous driving era. Accordingly, the high data traffic load poses a heavy burden to the terrestrial network infrastructure. Unmanned Aerial Vehicles (UAVs) show enormous potential to assist vehicular networks in providing services. In a dense UAV-assisted vehicular network with a large number of users, spectrum sharing is leveraged for alleviating the spectrum scarcity. However, the increasing data traffic still leads to the UAV energy consumption problem. This paper considers a specific network scenario where a UAV transmits its cached content files to vehicular users over UAV-to-vehicle (U2V) links while vehicle-to-vehicle (V2V) links reuse the U2V spectrum for safety-critical message exchanges. To improve the UAV's energy efficiency while guaranteeing users’ quality of service (QoS), we jointly optimize content placement, spectrum allocation, co-channel link pairing, and power control, which are the key factors affecting energy efficiency and QoS. The joint optimization problem is formulated as a mixed-integer nonlinear programming (MINLP) problem, which is solved by combining Hungarian and DDQN. We perform system performance evaluations, demonstrating that our approach can not only improve the UAV's energy efficiency while satisfying the users’ QoS requirements but also increase the timeliness of making decisions.

The student records of the University of Coimbra (1537-1919)

The University of Coimbra keeps to this day the academic records of students since 1537. In the years 1940-50 a card file of student information was created, known as the “Ficheiro de Alunos”. The catalogue contains records from 1537, when the university was relocated from Lisbon to Coimbra, up to 1908. The amount of information varied over time, containing name, first and last date on record, place of origin, school, years of enrolment, degrees obtained, and results of exams or other proofs of proficiency. Many records also contain notes such as titles (for instance indicating nobility), religious order, and college of residence. In the years 2013-15, the contents of the card files were input in an archival management system, giving the old records a new digital life. Currently, around 105,000 records are available online, reachable through search engines. This paper addresses two limitations of the current online catalogue: first the academic information in the paper cards was transcribed as a single text field preventing the usage of structured queries and any type of non-trivial data analysis; secondly the opportunity of the University Archive to improve the catalogue through the cooperation of its users lacks a collaborative model that can scale. This article contributes solutions to both issues: we present algorithms to extract information from the records and produce representations in line with current data science paradigms, allowing a wide range of interesting analysis of the data; we also demonstrate how tools and cooperation models developed in the open source community can provide an environment for collaborative efforts ranging from the notification of simple errors to the addition of semantic web representations for linked data, harnessing the knowledge dispersed by many researchers working on this unique repository of data. xxxxxxxxxxxxx

A Tunable Caching Distribution Model for Unmanned Aerial Vehicle Networks

In existing works on performance analysis of cache-enabled unmanned aerial vehicle (UAV) networks, caching distribution is fixed, and the joint cache-level and transmission-level cooperation has not been analyzed in literature. Considering UAVs agility and line-of-sight (LOS)/ non-line-of-sight (NLOS) channel characteristics, this paper proposes a tunable caching distribution model, where content placement and transmission can be flexibly adjusted to match interference topology dynamics, and derives semi-closed expression of caching coverage probability via stochastic geometry. Specifically, UAVs will take the partition coefficient ρ to determine caching distribution, where the most popular content files are reserved in every UAV within the cooperation group and jointly transmit to the user, while other files are probabilistic stored in the remaining cache space to achieve content diversity. In addition, when requiring the less popular files, user will always connect to the UAV with the best signal-to-interference (SIR) ratio among cache hit UAVs within the cooperation group. The theoretical analysis investigates the effects of various system parameters such as UAVs height, cooperative radius, and content popularity on the caching coverage probability and optimal ρ for can be found. It can be seen that optimal ρ will be decreased firstly and then increased along with the increase of UAVs height, which reveals the tradeoff between cache hit probability and transmission reliability. Analytical results show that our proposed cache and transmission policy can achieve 34% gain of coverage probability compared to the policy of probabilistic cached.

Hierarchical Coded Caching for Multiscale Content Sharing in Heterogeneous Vehicular Networks

The coexistence of multiple types of users in vehicular networks results in diversified service requirements and multiscale content differences, which poses new challenges to reliable content transmission. This paper proposes a hierarchical coded caching framework coupled with coded caching, vehicle-to-everything communications, and non-orthogonal multiple access techniques. We quantify the user request hit ratio under different communication modes and study the hit ratio maximization problem under the constraint of limited communication and caching resources. We propose a two-layer matching based optimization algorithm, including a user association layer in distributed content sharing and a user grouping layer in centralized content requesting. Simulation results verify that the proposed scheme can achieve a balance between hit ratio and transmission time, and meet the requirements of the content sharing scenario with multiscale content files and scalable user density.

Analyzing the Information Content of Text-Based Files in Supplementary Materials of Biomedical Literature.

We present an analysis of supplementary materials of PubMed Central (PMC) articles and show their importance in indexing and searching biomedical literature, in particular for the emerging genomic medicine field. On a subset of articles from PubMed Central, we use text mining methods to extract MeSH terms from abstracts, full texts, and text-based supplementary materials. We find that the recall of MeSH annotations increases by about 5.9 percentage points (+20% on relative percentage) when considering supplementary materials compared to using only abstracts. We further compare the supplementary material annotations with full-text annotations and we find out that the recall of MeSH terms increases by 1.5 percentage point (+3% on relative percentage). Additionally, we analyze genetic variant mentions in abstracts and full-texts and compare them with mentions found in supplementary text-based files. We find that the majority (about 99%) of variants are found in text-based supplementary files. In conclusion, we suggest that supplementary data should receive more attention from the information retrieval community, in particular in life and health sciences.

Front Cover Image, Volume 4, Number 5, May 2022

This cover image shows a downlink F-RAN architecture. In terms of information transmission, F-APs in the network are connected to the BBU pool through fronthaul links with limited capacity. In terms of energy consumption, F-APs include solar panels and energy storage batteries, and are connected to the smart grid. The BBU pool contains all content files that may be requested by UEs. As a fog access node with caching capability, F-APs can cache files with high popularity at the edge of the network. https://doi.org/10.1002/eng2.12497

Digital Forensic Analysis of Wallapop Application on Android Operating System

The use of second hand shopping applications is increasing day by day. Applications can be used for product search, product sale / purchase, product search / search, specific filtering for the searched product, product selection by category, saving searched products, product listing and messaging with people. There may be situations that may create legal problems between users in shopping applications. Defamation, fraud, fraudulent products, sale of prohibited substances are carried to judicial authorities. Wallapop app is a second hand sales app with more than 10 million downloads on google play store. Application were examined by XRY, Praben, Oxygen, Axiom, Ufed and Autopsy Forensic examination programs and no characteristic information about the application could be obtained. In the study, manual forensic analysis of Wallapop application on mobile devices with Android operating system was performed and an examination method was proposed. In the study, manual forensic analysis of Wallapop application on mobile devices with Android operating system is performed and a methodology about the artifacts produced by Wallapop application, their analysis and the relations with each other is presented. The contents of the database files, location information, session information and other data that may be considered as evidence are shown.

Speech Emotion Based Sentiment Recognition using Deep Neural Networks

The capacity to comprehend and communicate with others via language is one of the most valuable human abilities. We are well-trained in our experience reading awareness of different emotions since they play a vital part in communication. Contrary to popular belief, emotion recognition is a challenging task for computers or robots due to the subjective nature of human mood. This research proposes a framework for acknowledging the passionate sections of conversation, independent of the semantic content, via the recognition of discourse feelings. To categorize the emotional content of audio files, this article employs deep learning techniques such as convolutional neural networks (CNNs) and long short-term memories (LSTMs). In order to make sound information as helpful as possible for future use, models using Mel-frequency cepstral coefficients (MFCCs) were created. It was tested using RAVDESS and TESS datasets and found that the CNN had a 97.1% accuracy rate.

Biografia și opera lui Henri H. Stahl reflectate în dosarul său de cadre

This paper discusses the content of the cadre file of Henri H. Stahl preserved in the Archives of the University of Bucharest’s Rectorate. In the form in which it has been preserved after 1989, the personnel file of H.H. Stahl seems, from several points of view, atypical. If we compare it with the cadre files of the 1950s, it surprises by the apparent “goodwill” of the communist cadres towards H.H. Stahl. This ideological solicitude is manifested in the interpretation given to main cultural and political events in H.H. Stahl’s life. In other circumstances such political past could be labeled as unusable in a communist context. Equally curious and noteworthy is the issue of the ethnic origin attributed (and not necessarily real or assumed by the one described in the file), more precisely the issue of Stahl’s nationality (Jewish) which was recorded in the file. Analyzing Stahl cadre file we can wonder if the integrity of this dossier has not been compromised by removing, extracting or modifying documents by the personel staff services or by someone else.

Stochastic Geometry-Based Analysis of Cache-Enabled Hybrid Satellite-Aerial-Terrestrial Networks With Non-Orthogonal Multiple Access

Due to the emergence of non-terrestrial platforms with extensive coverage, flexible deployment, and reconfigurable characteristics, the hybrid satellite-aerial-terrestrial networks (HSATNs) can accommodate a great variety of wireless access services in different applications. To effectively reduce the transmission latency and facilitate the frequent update of files with improved spectrum efficiency, we investigate the performance of cache-enabled HSATN, where the user retrieves the required content files from the cache-enabled aerial node (AN) or the satellite with the non-orthogonal multiple access (NOMA) scheme. If the required content files of the user are cached in the AN, the cache-enabled node would serve directly. Otherwise, the user would retrieve the content file from the satellite system, where the satellite system seeks opportunities for proactive content pushing to ANs during the user content delivery phase. Specifically, taking into account the uncertainty of the number and location of ANs, along with the channel fading of terrestrial users, the outage probability and hit probability of the considered network are, respectively, derived based on stochastic geometry. Numerical results unveil the effectiveness of the cache-enabled HSATN with the NOMA scheme and proclaim the influence of key factors on the system performance. The realistic, tractable, and expandable framework, as well as associated methodology, provide both useful guidance and a solid foundation for evolved networks with advanced configurations in the performance of cache-enabled HSATN.

RISC-V Hardware Synthesizable Processor Design Test and Verification Using User-Friendly Desktop Application

Although the RISC-V ISA has not been around for long, it is a processor architecture that has been highlighted by many businesses and individuals for its low-cost and rapid pace of development. They are open-source-synthesizable hardware processors with minimal functionality that is ideal for current IoT applications involving simple sensors and actuator controls. Due to some qualities of hardware, they can operate in areas where software programs and applications cannot be used whereas, these software programs that run on such hardware equally help in understanding how hardware operates. This paper, therefore, proposes and discusses the design, implementation, and internal verification and test platform for a Reduced Instruction Set Code-V’s (RISC-V) Instruction Set Architecture (ISA), using an interactive desktop program for a 32-bit single-cycle processor. This paper developed a system that functions as interactive assistance to RISC-V's ISA design and debugger using a more user-friendly desktop UI application. The uniqueness of this design is the flexibility of testing and debugging that is possible through either the software interface or through hardware peripherals such as Universal Asynchronous Receiver/Transmitter (UART) protocols in FPGA or even both. These peripherals allow users to view the contents of the register files and RAM being utilized by the implemented processor on the FPGA. The proposed desktop User Interface program monitors and controls the sequential processing and states of a 32-bit single-cycle RISC-V processor’s operation on an FPGA. Contents of the proposed processor’s registers and memory are displayed alongside other temporal or internal data. Internal components such as Program Counters (PC), Random Access Memory (RAM), are displayed all through the proposed User Interface (UI) program and also through various peripherals on the FPGA board. The software program is implemented using C# programing language through Microsoft Visual Studio 2019 Integrated Development Environment (IDE). The proposed hardware synthesizable processor core is implemented using Verilog Hardware Description Language (HDL) and synthesized with Xilinx Integrated Synthesis Environment (ISE) version 14.7. The proposed processor and its corresponding hardware test modules occupy 6476 Look-Up-Tables (LUT) and operate at a maximum frequency of 49MHz and its operation is verified on a Field Programmable Gate Array (FPGA). The proposed processor and its test platform can serve as a good educational tool as well as a help for processor design engineers both experienced and beginners.