bluuebunny/crossref_metadata_2025_split huggingface dataset:
Content characterization for live video compression optimization
Authors: Martini Maria , Al-Juboori Shaymaa 
Published: December 2022

<p>Compressing video sequences with different content complexity results in different bitrates for the same quality level or in different quality levels for the same bitrate; for instance it is well known that content with high spatial complexity and/or high motion requires high bitrates for compression with adequate quality. To address this, per-title optimization is used recently (e.g., by Netflix) to generate appropriate rate-quality representations for different Video on demand (VoD) content to be streamed via adaptive video streaming. However, this cannot be adopted for live video streaming as it requires encoding (multiple times) each video content. Spatial Information (SI) and Temporal Information (TI) have been often used as indicators of video complexity, for instance for preparing and describing content for video quality assessment tests, and for rate-distortion modeling. However, it has been questioned recently if different metrics could lead to a better estimation of ”compressibility” of video. In this paper we compare existing and proposed metrics in terms of their ability to estimate ”compressibility”. This supports quality-rate estimation and the possibility to create appropriate ”quality ladders” (different quality representations) for adaptive live video streaming. We observe in particular that metrics related to the variance of pixel values provide a good estimation of compressiblity for the considered datasets. </p>
Pollution Ranking of the most Popular Digital Platforms
Authors: Molinero Mingorance Natalia 
Published: December 2022

<p>This work evaluates the most popular digital services: Facebook, Instagram,TikTok, YouTube, Netflix, Amazon, Zoom, Skype, and Spotify. To date, such a complete analysis of the damage to the environment caused by these applications has not been carried out and it is hoped that this paper will contribute mainly in three ways: raise awareness of our digital carbon footprint; disseminate knowledge on how to estimate pollution from our online behavior; and pointing to the causes of the issue to find optimal solutions. </p>
AI image generation application for Kansei engineering design process - milk carton case
Authors: Ishihara Shigekazu , Ruo Rueikai , Ishihara Keiko 
Published: December 2022

<p>This study shows the application of AI image generators with fine-tuning to the Kansei engineering design process. Kansei engineering is a method for surveying and analyzing users' latent feelings and preferences to product and service development (Nagamachi, 1991, 2011).. There are several common difficulties in applying Kansei engineering, including a lack of variety in evaluation samples, the need for non-designers to participate in the design process, and the fact that designers are often too busy to fully engage in the design process. In order to address these challenges, we have applied an AI image generator, StableDiffusion (Rombach et al. 2021),to the Kansei engineering design process. The "Hypernetworks" framework to fine-tune StableDiffusion in order to make better representation of the shape and appearance of milk cartons. Based on previous Kansei engineering study on milk cartons (Ishihara et al., 1996) , several attempts are shown to use AI-generated designs to create innovative and visually appealing milk carton designs, including designs incorporating red and blue colors and abstract shapes, and a design inspired by the abstract paintings of Jackson Pollock. The authors conclude that the use of AI technology can be a valuable tool in boosting innovative design through Kansei engineering, and that further research is needed to explore the potential for interaction between humans and AI in the design process.</p>
Analytical Determination of the Maximum Absorbable Interference Power Delivered to PCB Components
Authors: Mohammadi Hadi , Ansari Dogaheh Amirreza , Khavasi Amin , Akbari Mahmood 
Published: December 2022

<p> In this paper we derive a method to determine the worst-case radiated immunity of a given printed circuit board (PCB) layout, whose benefits are threefold. First, the worst-case performance could be used as a reference to compare the radiated immunity of two competing, schematically-identical-yet-electromagnetically-distinct layouts. Second, it could be used as a criterion to determine whether a given layout is able to observe the particular requirements of a given electromagnetic compatibility (EMC) standard. And finally, since this method is element-independent, it requires no modelling for complex circuit elements such as non-linear elements, logic gates, processors, etc. to interact with electromagnetic interference (EMI). Our method determines how much power could be delivered to the non-linear circuit elements of the PCB by an EMI under a worst-case scenario. This could be done, either for the entire PCB, or for specific parts and elements of interest, such as sensitive elements, logic gates, microprocessors, etc. While a fully analytical approach with a closed-form solution is developed for the former, the latter could be obtained through an analytical derivation followed by numerical maximization. These methods would enable the rapid and straightforward evaluation of the designs’ immunity at any stage, resulting in saving cost and time. </p>
360° Stereo Image Composition with Depth Adaption
Authors: Huang Kun , Zhang Fanglue , Zhao Junhong , li yiheng , Dodgson Neil 
Published: December 2022

<p>360° images and videos have become an economic and popular way to provide VR experiences using real-world content. However, the manipulation of the stereo panoramic content remains less explored. In this paper, we focus on the 360° image composition problem, and develop a solution that can take an object from a stereo image pair and insert it at a given 3D position in a target stereo panorama, with well-preserved geometry information. Our method uses recovered 3D point clouds to guide the composited image generation. More specifically, we observe that using only a one-off operation to insert objects into equirectangular images will never produce satisfactory depth perception and generate ghost artifacts when users are watching the result from different view directions. Therefore, we propose a novel view-dependent projection method that segments the object in 3D spherical space with the stereo camera pair facing in that direction. A deep depth densification network is proposed to generate depth guidance for the stereo image generation of each view segment according to the desired position and pose of the inserted object. We finally merge the synthesized view segments and blend the objects into the target stereo 360° scene. A user study demonstrates that our method can provide good depth perception and removes ghost artifacts. The view-dependent solution is a potential paradigm for other content manipulation methods for 360° images and videos. </p>
Flexible HTTP-based Video Adaptive Streaming for good QoE during sudden bandwidth drops
Authors: Nguyen Viet Hung , Nam Pham , Truong Thu Huong 
Published: December 2022

<p>We have observed a boom in video streaming over the Internet, especially during the Covid-19 pandemic, that could exceed the network resource availability. In addition to upgrading the network infrastructure, finding a way to smartly adapt the streaming system to the network and users’ conditions to satisfy clients’ perceptions is exceptionally critical, too. This paper proposes a new QoE-aware adaptive streaming scheme over HTTP - ABRA - to make flexible adaptations based on the network and the client’s current status. Besides, we propose a technique that can keep the buffer at an average high for more than 10s. We were limiting the phenomena of rebuffering due to unexpected and unpredictable bandwidth changes. The algorithm keeps the quality of subsequent versions at a constant level even when the average bitrate decreases, increasing the QoE. Experimental results show that our method can improve QoE from 7.86% to 20.41% compared to state-of-the-art methods. ABRA can provide better performance in terms of QoE score in all buffer conditions compared to the existing solutions while maintaining a minimum secured buffer level for the worst case. </p>
Flexible QoE optimized Video Adaptive Streaming over HTTP for sudden bandwidth drops
Authors: Nguyen Viet Hung , Nam Pham , Truong Thu Huong 
Published: December 2022

<p>We have observed a boom in video streaming over the Internet, especially during the Covid-19 pandemic, that could exceed the network resource availability. In addition to upgrading the network infrastructure, finding a way to smartly adapt the streaming system to the network and users’ conditions to satisfy clients’ perceptions is exceptionally critical, too. This paper proposes a new QoE-aware adaptive streaming scheme over HTTP - ABRA - to make flexible adaptations based on the network and the client’s current status. Besides, we propose a technique that can keep the buffer at an average high for more than 10s. We were limiting the phenomena of rebuffering due to unexpected and unpredictable bandwidth changes. The algorithm keeps the quality of subsequent versions at a constant level even when the average bitrate decreases, increasing the QoE. Experimental results show that our method can improve QoE from 7.86% to 20.41% compared to state-of-the-art methods. ABRA can provide better performance in terms of QoE score in all buffer conditions compared to the existing solutions while maintaining a minimum secured buffer level for the worst case. </p>
Infrastructure-based digital twins for cooperative, connected, automated driving and smart road services
Authors: Thonhofer Elvira , Sigl Simon , Fischer Martin , Heuer Fin , Kuhn Andreas , Erhart Jacqueline , Harrer Manfred , Schildorfer Wolfgang 
Published: December 2022

<p>Driving requires continuous decision making from a driver taking into account all available relevant information. Automating driving tasks also automates the related decisions. However, humans are very good at dealing with bad quality, fuzzy, informal and incomplete information, whereas machines generally require solid quality information in a formalized format. Therefore, the development of automated driving functions relies on the availability of machine-usable information. A digital twin contains quality controlled information collected and augmented from different sources, ready to be supplied to such an automated driving function. An information model that describes all conceivably relevant information is necessary. To this end, a list of requirements that such an information model should meet is proposed and each requirement is argued for. Based on the anticipated services and applications that such a system should support, a collection of requirements for system architecture is derived. Information modeling is performed for selected relevant information groups. A system architecture has been proposed and validated with three different implementations, addressing several different applications to support decisions at a highway tunnel construction site in Austria and throughout the Test Bed Lower Saxony in Germany. </p>
Improving Rare Tree Species Classification using Domain Knowledge
Authors: Harmon Ira , Marconi Sergio , Weinstein Ben , Bai Yang , Wang Daisy Zhe , White Ethan P. , Bohlman Stephanie 
Published: December 2022

<p>Forest inventory forms the foundation of forest management. Remote sensing (RS) is an efficient means of measuring forest parameters at scale. Remotely sensed species classification can be used to estimate species abundances, distributions, and to better approximate metrics such as above ground biomass. State of the art methods of RS species classification rely on deep learning models such as convolutional neural networks (CNN). These models have 2 major drawbacks: they require large samples of each species to classify well and they lack explainablity. Therefore, rare species are poorly classified causing poor approximations of their associated parameters. We show that the classification of rare species can be improved by as much as 8 F1-points using a neuro-symbolic (NS) approach that combines CNNs with a NS framework. The framework allows for the incorporation of domain knowledge into the model through the use of mathematically represented rules, improving model explainability.</p>
Deep Mobile Path Prediction with Shift-and-Join and Carry-Ahead
Authors: YANG HUIGYU , Raza Syed M. , Choo Hyunseung , Kim Moonseong 
Published: December 2022

<p>Mobile user path prediction is a prerequisite for mobility-aware efficient task offloading in Multi-access Edge Computing (MEC), ultra-low latency services, and many other resource management operations. This manuscript addresses the mobile user path prediction by proposing two Deep Learning (DL) driven models that use Long Short-Term Memory (LSTM) to process time-series network data. The training and evaluation of the proposed models are done using our collected and preprocessed dataset which has been made a publicly learnable resource. </p>
Variable-Temperature Broadband Noise Characterization of MOSFETs for Cryogenic Electronics: From Room Temperature down to 3 K
Authors: Ohmori Kenji , Amakawa Shuhei 
Published: December 2022

<p>A broadband noise measurement system is newly developed and demonstrated at temperatures between 3 K and 300 K. Using the system, wideband noise spectroscopy (WBNS) from 20 kHz to 500 MHz is carried out for the first time, revealing that shot noise is the dominant white noise down to 3 K. The paper also suggests, by means of WBNS, the possibility of extracting the baseline noise characteristics, which do not include the noise component that varies a great deal from device to device. </p>
200 Gb/s Optical-Amplifier-Free IM/DD Transmissions using a Directly Modulated O-band DFB+R Laser targeting LR Applications
Authors: Pang Xiaodan , Salgals Toms , Louchet Hadrien , Che Di , Gruen Markus , Matsui Yasuhiro , Dippon Thomas , Schatz Richard , Joharifar Mahdieh , Krüger Benjamin , Pittala Fabio , Fan Yuchuan , Udalcovs Aleksejs , Zhang Lu , Yu Xianbin , Spolitis Sandis , Bobrovs Vjaceslavs , Popov Sergei , Ozolins Oskars 
Published: December 2022

<p> We experimentally demonstrate an O-band single-lane 200 Gb/s intensity modulation direct detection (IM/DD) transmission system using a low-chirp, broadband, and high-power directly modulated laser (DML). The employed laser is an isolator-free packaged module with over 65-GHz modulation bandwidth enabled by a distributed feedback plus passive waveguide reflection (DFB+R) design. We transmit high baud rate signals over 20-km standard single-mode fiber (SSMF) without using any optical amplifiers and demodulate them with reasonably low-complexity digital equalizers. We generate and detect up to 170 Gbaud non-return-to-zero on-off-keying (NRZ-OOK), 112 Gbaud 4-level pulse amplitude modulation (PAM4), and 100 Gbaud PAM6 in the optical back-to-back configuration. After transmission over the 20-km optical-amplifier-free SSMF link, up to 150 Gbaud NRZ-OOK, 106 Gbaud PAM4, and 80 Gbaud PAM6 signals are successfully received and demodulated, achieving bit error rate (BER) performance below the 6.25%-overhead hard-decision (HD) forward-error-correction code (FEC) limit. The demonstrated results show the possibility of meeting the strict requirements towards the development of 200Gb/s/lane IM/DD technologies, targeting 800Gb/s and 1.6Tb/s LR applications. </p>
A comparative study of hybrid stochastic algorithms and objective function formulations for extracting parameters of the three-diode photovoltaic model
Authors: Ridha Hussein 
Published: December 2022

<p>This work investigates the feasibility and accuracy of applying hybrid meta-heuristic approaches and alternative objective formulations for optimally determining the parameters of the three-diode photovoltaic (3D-PV) model under a variety of meteorological situations. In addition, the Berndt-hall-hall Hausman technique is modified to boot its converge rate by incorporating the 2nd and 4th convergences to improve its stability, discovering the feature space broadly, and precisely providing initial root solutions utilizing robust adaptive arithmetic optimization algorithm (RaAOAAdmBHHH). A variety of statistical matrices are employed to exhibit the superiority of the algorithms in terms of accuracy and convergence rate. The performance of the hybrid algorithms and different objective function designs are evaluated using real experimental data points distributed on under wide range of weather conditions. The experimental findings indicated that the RaAOAAdmBHHH model can, with a comparatively small number of iterations, determine the 3D-PV model's parameters at any state of weather circumstances. Prior to this, it is possible to use the RaAOAAdmBHHH model with confidence to assess and predict the PV cell's output current by realistically reflecting its actual performance. </p>
On Cultural Transmission. A Case Study: Condillac and Italy
Authors: Gatti Andrea 
Published: December 2022

The period that Étienne Bonnot de Condillac (1715-80) spent in Parma at the court of Philip and Louise Elizabeth (1758-67), as tutor to their son Ferdinand 1 , offers an interesting model for inquiring under what specific assumptions the concept of “cultural migrations”, or intellectual transmission, between different philosophical cultures should be considered. The difficulties for the historian of ideas in formulating hypotheses about the relevance and modes of cultural transmission are evident even in a case such as Condillac’s, whose actual presence in Parma and Italy seems to support the obvious belief that such transmission necessarily occurred through the philosophers direct action: his conversations with local scholars, contacts with other philosophers, intellectual exchanges and so on. However, one may legitimately question this sort of easy conclusion. For the philosophical novelties that the French philosopher introduced and which met with favor in the rest of Europe were sometimes dismissed or neglected in the Duchy of Parma and throughout Italy, even by scholars less conservative and orthodox in their philosophical positions who were more open to novelty. Moreover, the migration of authors does not entail the migration of their ideas. Given such questions, a preliminary analysis of some of the methodological assumptions underlying this type of inquiry is worthwhile.
Candles in Babylon: Denise Levertov's Spiritual Journey
Authors: Asst. Prof. Dr. Nadia Ali Ismael  
Published: December 2022

Through all her work, Denise Levertov’s (1923-1997) penchant for describing religious issues is evident. Various religious images punctuate her work, an indication of either her deep conviction of the existence of a supreme deity, or just a mere description of the wonders of the metaphysical world. But even though her works are punctuated with these religious emblems, Candles of Babylon seems to have taken a new trajectory. There is an admission to the effect that she is on a spiritual odyssey; she gives a clear description of how she makes this journey. Like John Bunyan’s Pilgrims’ Progress (1678), she described her transition from a cosmetic believer into a profound spiritual understanding. Levertov’s spiritual journey shall be discussed in detail through her own lenses in her poems. The paper attempts to discuss her experiences of transformation through her spiritual experiences and how these have been captured in her poems. The research paper will attempt to discuss how she uses various literary devices to package her odyssey and how these have worked together to help the readers get a picture of her transition through life.
المسائل الصرفيّة والنحويّة في تفسر (التحرير والتنوير) في سورة يوسف من الآية ( 11 إلى 21)
Authors: م.م. زينب جاسم حسن  
Published: December 2022

عُني ابن عاشور في كتابه المشهور (التحرير والتنوير) بتفسير القرآن الكريم، وطبّق فيه الدرس اللّغويّ, لأنّه لم يكتفِ بمجرد تفسير الآيات وبيان أسباب نزولها, فسرد الأوجه اللّغويّة وناقشها، مع تفنيد ما يستحق منها التفنيد، فكان مَقصدُ هذا البحث أن يسلطَ الضوءَ على ما ورد في تفسير ( التحرير والتنوير ) من مسائلٍ صرفيّةٍ ونحويّةٍ في سورة يوسف من ( الآية 11 إلى 21). وتبرز أهمية البحث في جانبين: الأول : إظهار الاتجاه اللّغويّ في تفسير التحرير والتنوير. الثاني : عرض آراء الطاهر بن عاشور اللّغويّة في التحرير والتنوير والتي تنم عن تبحره بعلوم اللّغة العربيّة, مع بيان آراء العلماء الموافقين لرأيه و المخالفين له. بينت الدراسة تعدد الأوجه اللّغويّة في هذه الآيات المحددة للدراسة . ولا حظت الدراسة أنّ المسائل النحويّة هي الأكثر حضورًا في هذه الآيات, وأنّ المسائل الصرفيّة قليلة جدًا اقتصرت على الفعل المزيد والمصدر. وتوصلت الدراسة إلى أنّ التعليل حاضرٌ عند ابن عاشور في أثناء عرضه لأغلب المسائل اللغوية. وكشفت الدراسة أنّ ابن عاشور يخالف العلماء في أغلب المسائل التي قام بتناولها.
Gender bias in bangladesh civil service: a case study from 12 different cadres
Authors: Nasir Tasnia 
Published: December 2022

This study attempts to identify the core reasons for gender bias in the Bangladesh Civil Service. The purpose is to learn about the current state of such bias and whether and to what extent women civil servants are impacted by it, as well as its consequences in terms of career growth. For this study, the researcher employed qualitative methodologies, relying mainly on primary data acquired through a questionnaire survey of 111 civil servants. Results demonstrate that in the civil service, women are subjected to a greater degree of gender bias than males, followed by the third gender. It also shows that social attitudes and lack of child care facilities are two of the key reasons for such bias and gender stereotyping, underrepresentation of women, the existing gender gap, insufficient paid maternity leaves, biased rules, and a lack of awareness might be regarded as minor sources of gender bias in this sector. Gender bias has a significant impact on postings, leadership positions, major project assignments, and challenging roles, as well as a moderate impact on other variables such as promotion, recognition for equal work, performance review, obtaining mentors and training opportunities, compensation and awards, recommendations, and recruiting, according to the data.
Youth of Bangladesh:
Authors: Khalil Md. Ibrahim , Lokman Rabiul Alam 
Published: December 2022

At present one-third of Bangladesh's population is under the age of thirty. Additionally, Bangladesh's working-age population (15–59%) is currently bigger than the non-working-age population (>15 and 60+), which has the potential to propel economic growth with a focus on our youth. Although there is a lot of interest in Bangladeshi adolescents, there is relatively little thorough information available about their situation. This research was conducted to offer insightful information about our youngsters. The youth's self-identities and life goals were first observed, together with their level of education and skill readiness, and then their engagement in earning activities. Then, a survey was conducted to determine how free they felt to choose. Their political stance was then examined. From the analysis, it can be said that Bangladeshi youth are still mostly untapped and are not at all prepared to take advantage of the prospects presented by the twenty-first century. This is especially true for young women and those from underprivileged socioeconomic backgrounds.
Keywords: ; ; Goals of life; Preparedness for future; 4IR.