bluuebunny/crossref_metadata_2025 huggingface dataset:
Management of Hotel and Restaurant Complex on the Basis of Energy Efficiency
Authors: Mykoliuk Oksana
Published: December 2021

Topicality. Sustainable development of hotel and restaurant industry appears to be not possible without a reliable, stable, reasonable provision of energy resources. Rational and economical consumption of energy resources determines energy efficiency of their operation, and plays a leading role in ensuring the economic growth of blighty enterprises in the service sector. Stable functioning and growth of the economic potential in market relations conditions are constantly becoming the priority in the development of hospitality sphere enterprises. They mainly depend on the availability of energy efficiency.
The subject of this study is the formation of the energy efficiency strategy, that will support the coordination of the senior management actions in solving some problems of the energy efficiency providing the hotel and restaurant complex operation.
The purpose of this research lies in theoretical and methodological substantiation of the importance and place of the energy efficiency system in strategic management of the hotel and restaurant complex.
Research methods: monographic analysis, abstraction and morphological analysis, groups and classifications.
Main results and conclusions. According to the obtained research results, the essence and sequence of the stages of energy efficiency management in hotel and restaurant complex are defined. The correlations between the energy efficiency strategy of the hotel and restaurant complex, and the mechanism of its management are formed. The algorithm of energy efficiency strategy elaboration in the hotel and restaurant complex is offered, as well as its components are substantiated.
The Influence of the Parameters of the Subcritical Water Extraction Process on the Efficiency of Isoflavones Elicitation from Soy Meal
Authors: Sukmanov Valeriy , Kovalchuk Olena
Published: December 2021

Topicality. Incidental products of soy processing (okara, meal, millcake) contain a large amount of protein, and, additionally, other valuable biologically active substances. Among them, isoflavones are of particular researchers’ interest. Subcritical water extraction is a promising method for elicitation biologically active substances from plant raw material. However, such a method of extracting isoflavones, and its rational parameters for soy meal, remain insufficiently investigated.
Aim and methods. The aim of this work is to study the influence of parameters (temperature: 120...160°С, duration of extraction: 5...15 min, hydromodule: 1:15...25) of the extracting process of soy meal with subcritical water on the isoflavones content in the dry material of the extract. The empirical research method is applied, using the second-order orthogonal compositional outline for a fractional factor experiment. The samples of soy meal extract are obtained using the experimental setup, based on the high-pressure reactor “RHP-2-500”. The total isoflavones content in the dry extract material is defined in terms of gallic acid with absorption spectrophotometry method.
Results. Based on the obtained results, the quadratic interpolation model is constructed. This model links the total isoflavones content in the dry extract material with the extraction parameters. The analysis of the constructed model makes it possible to establish rational measures of extraction parameters.
Conclusions and discussion. In this study, the intensive growth of soflavones content in the dry extract with highing the temperature process, and a relatively small influence of the process duration on this indicator, were defined. The influence of the hydromodule is ambiguous. The lowest yield of isoflavones is noted at hydromodule ≈1:21,41. Its increase or decrease lead to the growth of isoflavones content in the extract. In this paper, for the first time, the existence of rational measures of parameters in the process of extracting isoflavones with subcritical water from soy meal is studied and established. The obtained results can be used in the elaboration of the technology for producing isoflavones enriched soy protein concentrate.
Conceptualization of Socio-humanitarian Principles of State Policy in the Tourism Sphere in Ukraine
Authors: Havryliuk Alla
Published: December 2021

The article analyzes the domestic scientific sources devoted to the formation of the conceptual foundations of state policy in the field of tourism, based on the socio-humanitarian dimension. It is pointed out that this process is a topical scientific and practical issue that encourages the application of modern concepts in the context of domestic state-building, which have been effectively tested in many countries around the world. It has been revealed that socio-humanitarian processes are focused on meeting the key human needs as a producer and consumer of material and spiritual benefits, the formation of which is also influenced by tourism. Among the vectors of socio-humanitarian conceptualization of state policy in the field of tourism as a key resource of development in decentralization, the policy of national memory is highlighted, focused on deepening knowledge about the historical past, establishing the foundations of national identity, implementing the principles of patriotic education, etc. Emphasis is placed on the need to provide the community within the tourist destination with quality tourist services using modern digital technologies.
Technologies of Formation and Development of Sociocultural Environment Professionals’ Emotional Competence
Authors: Pletsan Khrystyna
Published: December 2021

The article analyzes the theoretical foundations and features of emotional competence formation; the concept of emotional intelligence and emotional competence in retrospect of scientific research is understood and revealed; the structure, components, elements, factors and functional role of emotional competence of specialists are characterized; the methodological approach to the formation of emotional competence of socio-cultural professionals in Ukraine and the specifics of development at the present stage are highlighted. It is proved that the emotional competence of socio-cultural professionals involves the possession of four types of skills, in particular: managing their emotions, managing other people’s emotions, awareness of other people’s emotions, awareness of their emotions; presented and argued technologies for the formation and development of emotional competence of managers of socio-cultural environment in Ukraine in accordance with the challenges of the time.
Tourist Local Studies: Essence, Methods, Significance
Authors: Liubitseva Olha , Kochetkova Iryna
Published: December 2021

The purpose of the article is to reveal the scientific essence of tourist local studies and their role in the formation of the ‘image of the territory’, the development of the tourist product.
The research methodology is formed on the basis of collecting and summarizing information about the theoretical and methodological foundations of local studies in its various aspects and is a synthesis of modern domestic and foreign approaches to interpreting the essence of local studies and their role in tourism.
The scientific novelty lies in the author’s interpretation of the essence of tourist local studies and methods’ generalization of local lore research, and practical significance – in a new look at local lore information as a basis for local tourism product, which is relevant given the regionalization of tourism.
Conclusions. Based on the analysis of scientific approaches to history, geography, demography, economics, urban planning and other sciences, within which the local lore direction of research was formed, it is proposed to consider tourist local studies as an applied research area.
Побудова уроку класичного танцю на основі музики композиторів віденської класичної школи: погляд концертмейстера
Authors: Гладка Людмила Володимирівна
Published: December 2021

Мета статті – проаналізувати музичне оформлення уроків класичного танцю та Point техніки на основі клавірної (фортепіанної) музики композиторів віденської класичної школи Й. Гайдна, В. А. Моцарта і Л. ван Бетховена. Методологія. У статті застосовано хронологічний принцип, метод аналізу та синтезу, проведено мистецтвознавчий аналіз творчості композиторів задля виявлення стильових особливостей їхніх фортепіанних сонатних циклів. Наукова новизна. Доведено, що музика трійки віденських класиків (Й. Гайдна, В. А. Моцарта, Л. ван Бетховена) якнайкраще підходить для добору музичних творів до уроків класичного танцю, Point техніки, партерного тренажу, дуетно-сценічного танцю, історико-побутового танцю. Висновки. У камерній музиці віденських класиків паралельно розвивалися дві тенденції: одна з них виходила з концепції музики як аналога світської або дружньої бесіди (твори для дилетантів, схильних отримувати насамперед задоволення від музикування, а не долати різні перепони), інша сходила до традиції ренесансної «музики для обраних» (мистецтва аристократичного та інтелектуального середовища, що цінувало вишукану складність, сміливу оригінальність та витончену гру смислів). Камерна музика писалася віденськими класиками для широкої аудиторії – пересічних сучасників і найосвіченіших меценатів, щоб мистецтво було доступним для всіх шляхетних людей. Саме тому в скарбниці клавірної музики віденських класиків можна знайти найрізноманітніші твори для формування музичної основи уроків класичного танцю та Point техніки. Цикли уроків класичного танцю та пуант-техніки на музику віденських класиків створені у творчому тандемі концертмейстера Л. Гладкої з викладачем Г. Перовою на кафедрі класичної хореографії й збережені у форматі відеозаписів. Сьогодні надзвичайно гостро постає проблема музичного виховання студентів хореографії закладів вищої освіти, яке ґрунтується на матеріалі зі скарбниці світової музичної класичної спадщини. Використання в музичному оформленні уроків класичного танцю, Point техніки та інших хореографічних дисциплін саме класичної музики є обов’язковою умовою формування музичного смаку й кругозору майбутніх хореографів, викладачів, балетмейстерів-постановників.
Біографічний метод у дослідженні життя та творчості діячів хореографії
Authors: Підлипський Андрій Ігорович , Аксьонов Олександр Борисович
Published: December 2021

Мета статті – виявити складники біографічного методу та обґрунтувати раціональність його застосування в процесі проведення досліджень, присвячених діячам хореографічної культури. Методологія. Під час проведення дослідження застосовано аналітичний, компаративний, дедуктивний методи, а також метод теоретичного узагальнення для формулювання висновків. Наукова новизна. Вперше в українській хореології обґрунтовано доцільність використання біографічного методу крізь призму феноменології. Висновки. Методологічний ракурс осмислення хореографічної культури у площині феноменології має виняткове значення, оскільки дозволяє розглянути проблеми, які постають перед нею на загальнонаціональному, регіональному та місцевому рівнях крізь призму історичного минулого та перспектив майбутнього розвитку. Принципи феноменологічного аналізу можна застосувати, досліджуючи біографії діячів хореографічного мистецтва. Важливим є не лише аналіз об’єктивних фактів біографії, а й інтерпретація духовних проявів особистості, що виявляються в результатах її діяльності. Лише поєднання раціональних та ірраціональних підходів у процесі застосування біографічного методу стає запорукою проведення комплексного дослідження. Біографічний метод передбачає врахування такого феномену, як «життєвий досвід» чи «світ людини», що тлумачиться як унікальна територія досвіду конкретної людини. Біографії особистостей, що прислужились розвитку хореографічної культури України, є важливою з позицій сучасної гуманістичної парадигми та збільшення людиноцентричних досліджень.
Review of the textbook ‘Introduction to Museum Studies and Monument Studies’
Authors: Ivanysko Svitlana , Shydlovskyi Pavlo
Published: December 2021

Introduction to Museum and Monument Studies book edited by Professor Olena Honcharova, DSc in Cultural Studies, and Associate Professor Serhii Pustovalov, DSc in History, is devoted to topical issues of museum and monument protection, museum studies history and theory, museum staff archaeology training, legislative support for the museum industry, examination of historical and cultural values; presents the views of leading Ukrainian and world scientists and experts on solving current problems in this area. The book is addressed to students, graduate students of field-oriented higher education institutions, museum and heritage conservation staff. For the first time, the textbook comprehensively provides the basics of both programme subject area components: museum studies and monument studies.
Waldbaden und Waldtherapie als innovative Ansätze mit gesundheitsförderndem Potenzial
Authors: Föhn Martina
Published: December 2021

«Waldbaden» und «Waldtherapie» erfreuen sich zunehmender Beliebtheit. In Japan ist shinrin yoku (Waldbaden) fester Bestandteil des Gesundheitssystems. Der Aufenthalt im Wald kann gemäss Studien die Herzaktivität, die Atmung und die Aktivität des Nervensystems verbessern. Das Klima des Waldes und die von den Bäumen freigesetzten Terpene können bei Stresssymptomen, Schlaf- und Aufmerksamkeitsstörungen sowie Depressionen positiv wirken. Achtsamkeitsübungen, die auf verschiedenen Sinneswahrnehmungen basieren, werden präventiv und rehabilitativ eingesetzt. Die aus Japan stammende Methode hat mittlerweile auch in Europa Eingang gefunden. In der Schweiz wird dieser neue Bereich durch Ausbildungsangebote erschlossen. Während in Deutschland sogar schon Wälder für die Gesundheitsförderung konzipiert wurden, stehen in der Schweiz Untersuchungen zum Thema Waldtherapie und Therapiewälder noch aus.
Family Ties
Authors: Garcia Ronaldo , Reznik Dan
Published: December 2021

We compare loci types and invariants across Poncelet families interscribed in three distinct concentric Ellipse pairs: (i) ellipse-incircle, (ii) circumcircle-inellipse, and (iii) homothetic. Their metric properties are mostly identical to those of 3 well-studied families: elliptic billiard (confocal pair), Chapple's poristic triangles, and the Brocard porism. We therefore organized them in three related groups.
NJEGOŠOLOGIJA – NEPROLAZNI IZAZOVI NOVIH TUMAČENJA
NJEGOSHOLOGY - AN IMPERISHABLE CHALLENGE OF NEW INTERPRETATIONS
Authors: Vukićević-Janković Vesna
Published: December 2021

Science has not yet written the last word when it comes to the complexity of the work and personality of Peter II Petrovic Njegos. His existence marked a short segment of Montenegrin history (1813-1851), but he established himself as an inviolable beacon of Montenegrin and South Slavic cultural heritage. The cultural-memorial reflection of Njegoš's oeuvre must include considerations at various levels. It embraces the role that his texts and political activity play in the formation of the national tradition, the relation of fictional discourse to the national past, the relation of the literary text to the cultural constructions of national identity, consideration of the representational role of the literary text as a constitutive part of the culture as a whole, problems of critical and historical literary canonization, etc. On the one hand, interpretation of Njegoš's legacy allows us to get a complete picture of the peculiarities of his poetic code. On the other hand, it enables us to see his work as a cultural-memory matrix without which it is impossible to imagine the coordinates of Montenegrin cultural identity. Within such research, the uniqueness of what was said gains its entire meaning through a network of attitudes towards language, tradition, ideology. On the intersections of these networks are projected many symbols fused into a matrix of timeless paradigms, i.e., all ethical, aesthetic, poetic categories and identity patterns contained in the whole of Njegoš's legacy. Although each of Njegoš's texts represents an ideologically and thematically independent semantic whole, by carefully reading his entire legacy, we come across intersection points, which opens the possibility of chaining the meaning and expanding the reference planes of the semantic constituents of the text.
ФРАЗЕОЛОШКИ ЖАНРОВИ У ШЋЕПАНУ МАЛОМ (У ПОРЕЂЕЊУ СА ГОРСКИМ ВИЈЕНЦЕМ)
PHRASEOLOGICAL GENRES IN STEPHEN THE LITTLE (COMPARED TO THE MOUNTAIN WREATH)
Authors: Pejanović Ana
Published: December 2021

The article aims at the comprehensive analysis of the phraseological level of the Njegos’ poem Stephen the Little. The idioms of the poems have been organized into eight phraseological genres, based on the author's classification already applied to the text of The Mountain Wreath. The author has illustrated each genre with the appropriate examples, as well as their syntactic, semantic, and stylistic features. The high frequency and stylistic diversity of the phraseology of the poem prove the importance of researching its phraseological units in the overall assessment of the poet's idiolect and idio style. This paper, also, highlights the importance of researching the phraseology of Njegos’ works for the study of the overall phraseology of the Serbian language in its diachrony and synchrony, bearing in mind the high share of dialectal and archaic idioms. Moreover, some attested idioms present evidence of old ethnocultural concepts that have been verbalized and preserved in the language of the era, so their reconstruction is valuable for other humanities, as well. The author emphasizes the importance of studying Njegos' phraseology in the Slavic context on the examples of the reconstruction of the meaning of certain archaic idioms.
О НЕКИМ ОРТОГРАФСКИМ ОДЛИКАМА ПИСАНЕ ГРАЂЕ ИЗ 19. ВИЈЕКА (ИЛУСТРАЦИЈЕ И КОМЕНТАРИ) / ON SOME ORTHOGRAPHIC CHARACTERISTICS OF THE WRITTEN MATERIAL FROM THE 19TH CENTURY (ILLUSTRATIONS AND COMMENTS)
Authors: Šubarić Sanja
Published: December 2021

One hundred and seventy years after the death of Petar II Petrovic Njegos, and one hundred and ninety years since he was elected as the head of the Montenegrin state, and, therefore, since the establishment of the Montenegrin Senate, are all the reasons and an important occasion for returning to the written material of the Montenegrin Senate in this paper. The paper is part of a broader linguistic analysis of the documentation of the central and highest state authority in 19th -century Montenegro. It represents an orthographic analysis of the original documents of the Montenegrin Senate (formed at the beginning of the rule of Njegos – 1831) – both as the addresser and the addressee. Specifically, we followed the written reflection of consonant contacts at the morpheme boundaries within words, as well as consonant contacts at the junctions of individual words. Given the number of correspondents of the epistolary communication of the Montenegrin Senate, our analysis reveals the segments of collective orthographic practice from that period in Montenegro. The conclusions about the collective orthographic practice of one period are based on the process of monitoring the spelling procedures of individuals of different literacy levels. In spite of their limitations and, therefore, the limitations of the analysis, it provided the material that helped us discern a collective orthographic trait – a considerable inconsistency in the orthography of consonant groups at the morpheme boundaries within words and relative stability in their orthography at the junction of individual words: in the orthography of consonant groups at the morpheme boundaries within words, two ways of writing are dominant – morphological and phonological, while in the orthography of consonant groups at the junctions of separate words, the morphological principle is mostly established. The same type of orthographic instability was mainly characteristic of the literary expression of the 19th century. This is observable in the comparison of the recorded situation with the data about the orthography of Njegos and with the data on the orthographic procedures of other writers of the time in Montenegro.
LINGVISTIČKA PROUČAVANJA NJEGOŠEVOG „GORSKOG VIJENCA”
LINGUISTIC STUDIES OF NJEGOŠ’S WORK “THE MOUNTAIN WREATH”
Authors: Tepavčević Miodarka
Published: December 2021

The goal of this paper is to highlight the linguistic studies of Njegoš’s “The Mountain Wreath” that have been carried out so far, but also to generate interest in this topic among new generations and to serve as the basis for future linguistic research.
Webliometric Indicators as Elements of the AI Technique of Estimation of the Language Teacher’s Net Proficiency
Authors: Pavel Matukhin , Elena Provotorova , Marina Petrova , Olga Gracheva , Irina Rybakova , Kholisakhon Ismailova
Published: December 2021

The article deals with the issues related to the scientometric indexing of the net resources of the group of language teachers and scientists. A detailed accounting of all types of publications allows us to obtain initial information about the level of their Internet engagement. The analysis was carried out including a wide range of genres of publications, the structure of publications, the format and language of publications, the corpus of academic subjects, the language aspects of the publications under study, the composition of the authors of publications, based on their position. The authors’ use of wide opportunities to present their developments on various Internet resources provides them with the opportunity to be detected by search systems based on artificial intelligence (AI) as well as Big Data techniques and to be most fully characterized by existing and prospective scientometric systems.
Sequence-in-Sequence Learning for SOH Estimation of Lithium-Ion Battery
Authors: Pham Thien , Truong Loi , Nguyen Mao , Garg Akhil , Gao Liang , Quan Tho
Published: December 2021

State-of-Health (SOH) prediction of a Lithium-ion battery is essential for preventing malfunction and maintaining efficient working behaviors for the battery. In practice, this task is difficult due to the high level of noise and complexity. There are many machine learning methods, especially deep learning approaches, that have been proposed to address this problem recently. However, there is much room for improvement because the nature of the battery data is highly non-linear and exhibits higher dependence on multidisciplinary parameters such as resistance, voltage and external conditions the battery is subjected to. In this paper, we propose an approach known as bidirectional sequence-in-sequence, which exploits the dependency of nested cycle-wise and channel-wise battery data. Experimented with real dataset acquired from NASA, our method results in significant reduction of error of approximately up to 32.5%.
Prediction of Alzheimer’s Disease Based on Coordinate-Dense Attention Network
Authors: Tang Yongmei , Liao Xiangyun , Si Weixin , Ning Zhigang
Published: December 2021

Alzheimer’s disease (AD) is a degenerative disease of the nervous system. Mild cognitive impairment (MCI) is a condition between brain aging and dementia. The prediction will be divided into stable sMCI and progressive pMCI as a binary task. Structural magnetic resonance imaging (sMRI) can describe structural changes in the brain and provide a diagnostic method for the detection and early prevention of Alzheimer’s disease. In this paper, an automatic disease prediction scheme based on MRI was designed. A dense convolutional network was used as the basic model. By adding a channel attention mechanism to the model, significant feature information in MRI images was extracted, and the unimportant features were ignored or suppressed. The proposed framework is compared with the most advanced methods, and better results are obtained.
The RBF Hyperparameter in Metamodel-Assisted Evolutionary Search
Authors: Tenne Yoel
Published: December 2021

RBF metamodels, which are commonly used in expensive optimization problems, rely on a hyperparameter which affects their prediction. The optimal hyperparameter value is typically unknown and hence needs to be estimated by additional procedures. As such this study examines if this overhead is justified from an overall search effectiveness perspective, namely, if changes in the hyperparameter yield significant performance differences. Analysis based on extensive numerical experiments shows that changes are significant in functions with low to moderate multimodality but are less significant in functions with highly multimodality.
Distributed Autonomous Economic Control Strategy for Microgrid Considering Event Triggering Mechanism
Authors: Xiong Yulong , Miao Shihong , Yang Weichen , Liu Zhiwei
Published: December 2021

To fully adapt to the distributed access of renewable energy, microgrid technology has been developed rapidly. Aiming at the coordination and efficient regulation of distributed resources in microgrid, this paper proposes a distributed autonomous economic control strategy for microgrid considering event triggering mechanism. First, a distributed autonomous economic control architecture is built to provide a distributed operation architecture for optimal regulation of the microgrid. Secondly, a distributed secondary control strategy based on the consensus control theory is established to realize the economic allocation of active power as well as safe and stable operation of the microgrid. On this basis, an event trigger protocol based on the consensus error of the control variables is constructed, which is conductive to reduce redundant communication. The stability of the event trigger protocol is deduced by means of Lyapunov function analysis. The simulation analysis based on the equivalent microgrid verifies that the proposed control strategy can reduce redundant communication and acquire fair distribution of reactive power and active power among DGs, realizing distributed, economical and safe operation of microgrid.
Analysis of Current Production Status and Key Existing Problems of Tower-Shaped Solar Molten Salt Storage Tank
Authors: Xi Hang , Wu Qiong , Xie Xiaojun , Zhang Ruigang , Yang Bo , Liu Qian
Published: December 2021

In this paper, the development and prospect of tower-shaped solar thermal power generation technology are briefly introduced, and the importance of production quality of molten salt storage tank in tower thermal power storage system is proposed. The production technology and construction process of molten salt storage tank are described in detail, and the key technology and multiple problems affecting quality are analysed. Aiming at the problem of fillet weld deformation, this paper proposes a new anti-deformation tooling and welding operation technology. At last, this paper presents a construction technology method and a solution to improve the welding quality of molten salt storage tank, which can effectively solve the problem that the bottom plate of molten salt storage tank is out of standard due to welding.
Thermal System Simulation Study of Wide-Load Out-Of-Stock Technical Transformation to Reduce SCR Inlet Flue Gas Temperature of 300MW Subcritical Boiler
Authors: Qin Tao , Rong Jun , Yang Guang , Wang Yankai , Han Yi , Cai Bin , Yu Yingli
Published: December 2021

During the operation of a 300MW subcritical boiler of a power plant, there is a low temperature of the SCR inlet flue gas under medium and low load conditions. In order to effectively solve the problem of low SCR inlet temperature under low load conditions, and improve the adaptability of the coal type. Three kinds of wide load denitration technology reform schemes are proposed. With the boiler thermal system simulation software BESS, the thermal calculations of the three transformation schemes were carried out. The results show that: the Scheme C is the optimal solution. After the transformation, the temperature of the SCR inlet flue gas increased by 21°C under the ultra-low load condition, and the exhaust gas temperature increased by about 7°C. At the same time, the possible impacts of the reform of the Scheme C and the key issues that need to be paid attention to during the transformation process are evaluated and discussed.
Discussion on Integrated Modeling Technology of New Generation Centralized Control Station Equipment Monitoring System
Authors: Zhai Yi , Xu Tianpin , Yang Qijing , Cao Weihua , Qi Zhichao , Liu Chunyao
Published: December 2021

At present, the substation SCD model mainly aims at the modeling of primary equipment and secondary equipment, and the description of auxiliary equipment and substation area model is missing. According to the characteristics of equipment monitoring of the new generation centralized control station, the description of auxiliary equipment model and area model needs to be added to the original IEC61850 standard. In the first mock exam station, the current business requirements of centralized control station are analyzed. A unified model structure of master station is designed. Based on the definition of IEC61850 standard, a method and example of extending auxiliary device model and regional model are given. The proposed auxiliary equipment and area modeling method based on IEC61850 standard can make up for the shortcomings of the original standard, support the equipment monitoring of the new generation centralized control station and realize rich application functions.
Study on Optimization Path of Energy Consumption Structure of Container Terminal
Authors: Li Ruiyu , Fang Haifeng , Wang Guodong , Ma Qingfang
Published: December 2021

This study accounts current energy consumption of various types of equipments in Chinese container terminals through investigating typical terminals; compares and analyzes the clean energy application technologies from the perspectives of technical level, investment cost, and others; on this basis, construct the predictive model of energy consumption structure, and uses scenario analysis to carry out energy consumption predictions under each scenario and analyzes the effect of policy intervention, technological development and other factors. According to the predictive results, this study holds that in order to optimize energy structure of container terminal, container terminals should strongly promote the application of clean energy to port machinery instead of fuel on the basis of the industrial development and cost reduction of high-power and large-capacity power batteries; at the same time, strengthen policy encouragement and guidance are needed.
Uncertain Machine Load Forecasting Based on Least Squares Support Vector Machine
Authors: Meng Qiaofeng
Published: December 2021

Machine state is a very important constraint for job shop scheduling. For the uncertainty machine state, the paper proposes a machine load forecasting method based on support vector machine. The method reduces complexity and improves efficiency by eliminating a large number of unrelated input factors and selecting a small number of input parameters with strong correlation. The efficiency of the algorithm is verified by the production workshop instance.
Phase Tracking Sequences for 5G NR in 52.6-71 GHz Band: Design and Analysis
Authors: Maltsev Alexander , Pudeev Andrey , Kim Seonwook , Yang Suckchel , Choi Seunghwan , Myung Sechang
Published: December 2021

This paper presents a novel approach to the phase tracking reference signal (PTRS) design for phase noise impact compensation in the 5G NR communication systems intended to work in a new 52.6 GHz to 71 GHz frequency band. For detailed problem illustration, the phase noise compensation algorithms are discussed and explained, from the basic common phase error (CPE) compensation to the MMSE-base inter-carrier interference (ICI) filtering. Performance of the different phase noise compensation algorithms is investigated for the baseline PTRS accepted in the current 5G NR specification and compared with the newly proposed approach to the PTRS design. This approach is based on nulling the subcarriers adjacent to the reference signals to minimize influence of the ICI on the estimation process. It was shown that new nulling PTRS design outperforms currently used distributed PTRS structure. In addition, numerical results represent a trade-off between the filter size and the amount of the allocated training resources to achieve better performance. It was shown that proposed PTRS structures and processing algorithms give ICI compensation level very close to optimal scheme and thus, different approaches (such as time domain compensation) may be required for further progress.
Investigating Automated Hyper-Parameter Optimization for a Generalized Path Loss Model
Authors: Sani Usman Sammani , Lai Daphne Teck Ching , Malik Owais Ahmed
Published: December 2021

This work aims at developing a generalized and optimized path loss model that considers rural, suburban, urban, and urban high rise environments over different frequencies, for use in the Heterogenous Ultra Dense Networks in 5G. Five different machine learning algorithms were tested on four combined datasets, with a sum of 12369 samples in which their hyper-parameters were automatically optimized using Bayesian optimization, HyperBand and Asynchronous Successive Halving (ASHA). For the Bayesian optimization, three surrogate models (the Gaussian Process, Tree Structured Parzen Estimator and Random Forest) were considered. To the best of our knowledge, few works have been found on automatic hyper-parameter optimization for path loss prediction and none of the works used the aforementioned optimization techniques. Differentiation among the various environments was achieved by the assignment of the clutter height values based on International Telecommunication Union Recommendation (ITU-R) P.452-16. We also included the elevation of the transmitting antenna position as a feature so as to capture its effect on path loss. The best machine learning model observed is K Nearest Neighbor (KNN), achieving mean Coefficient of Determination (R2), average Mean Absolute Error (MAE) and mean Root Mean Squared Error (RMSE) values of 0.7713, 4.8860dB, and 6.8944dB, respectively, obtained from 100 different samplings of train set and test set. Results show that machine learning can also be used to develop path loss models that are valid for a certain range of distances, frequencies, antenna heights, and environment types. HyperBand produced hyper-parameter configurations with the highest accuracy in most of the algorithms.
An Explainable Convolutional Neural Networks for Automatic Segmentation of the Left Ventricle in Cardiac MRI
Authors: Liu Jun , Deng Feng , Yuan Geng , Lin Xue , Song Houbing , Wang Yanzhi
Published: December 2021

Recently, the study on model interpretability has become a hot topic in deep learning research area. Especially in the field of medical imaging, the requirements for safety are extremely high; Moreover, it is very important for the model to be able to explain. However, the existing solutions for left ventricular segmentation by convolutional neural networks are black boxes; explainable CNNs remains a challenge; explainable deep learning models has always been a task often overlooked in the entire data science lifecycle by data scientists or deep learning engineers. Because of very limited medical imaging data, most solutions currently use transfer learning methods to transfer the model which used on large-scale benchmark data sets (such as ImageNet) to fine tune medical imaging models. Consequently, a large amount of useless parameters are generated, resulting in further barrier for the model to provide a convincing explanation. This paper presents a novel method to automatically segment the Left Ventricle in Cardiac MRI by explainable convolutional neural networks with optimized size and parameters by our enhanced Deep Learning GPU Training System. It is very suitable for deployment on mobile devices. We simplify deep learning tasks on DIGITS systems, monitoring performance, and displaying the heat map of each layer of the network with advanced visualizations in real time. Our experiment results demonstrated that the proposed method is feasible and efficient.
Total Variance Approach on Commercial Vehicle Handling Dynamics
Authors: Guo Yaohua , Ding Jinquan
Published: December 2021

The suspension roll motion can produce roll steer, which are functions of roll angle, thus producing extra lateral forces. This paper develops the total variance approach to analyze the effect of suspension roll on commercial vehicle handling dynamics. The side-slip angle unified transfer function, reaction time, transition time, damping ratio and total variance are introduced with the effect of suspension. The vehicle designers could use this approach to get optimization design parameters of vehicle without numerical calculation. For the two-axle commercial vehicles, the total variance approach is useful and could serve as an important tool for evaluating the effect of vehicle suspension roll on commercial vehicle dynamics.
Approach to Define the Reliability of Safety-Related Machine Learning Based Functions in Highly Automated Driving
Authors: Si Pengyu , Krini Ossmane , Müller Nadine , Ouertani Aymen
Published: December 2021

Current standards cannot cover the safety requirements of machine learning based functions used in highly automated driving. Because of the opacity of neural networks, some self-driving functions cannot be developed following the V-model. These functions require the expansion of the standards. This paper focuses on this gap and defines functional reliability for such functions to help the future standards control the quality of machine learning based functions. As an example, reliability functions for pedestrian detection are built. Since the quality criteria in computer vision do not consider safety, new approaches for expression and evaluation of this reliability are designed.
A New Identity-Based Encryption Scheme with Accountable Authority Based on SM9
Authors: Wang Ke , Zhao Yuan , Luo Song , Guan Zhi
Published: December 2021

Accountable authority identity-based encryption (A-IBE) is an extension of identity-based encryption (IBE) in which private key’s source can be traced, i.e., whether the key comes from a private key generator or a user. SM9 is an official cryptography standard of China which defines a practical IBE scheme. In this paper, we construct a practical A-IBE scheme from the SM9-IBE scheme. Our A-IBE scheme has public traceability and is proven secure if the based SM9-IBE scheme is secure. Compared with other A-IBE schemes, our A-IBE scheme has better efficiency in encryption and decryption.
An Empirical Study on the Fossilization of English Language Learning in the Context of Multimedia Network Teaching
Authors: Huang Lihua
Published: December 2021

To carry out the pilot teaching of multimedia assisted teaching and self-learning mode of network platform for experimental class, the data analysis results obtained by using tools such as questionnaire survey show that:The multimedia network teaching environment has a great effect on the students’ vocabulary knowledge fossilization, but has little effect on the grammar knowledge fossilization; The fossilization of reading ability among the four communicative abilities of English language is alleviated obviously, and the self-assessed oral ability of students improves faster after the addition of oral English classes; It accelerates the ossification of writing and listening ability, but it is mainly caused by the characteristics of the network itself and improper learning methods of students.
Visible Light Wireless Data Center Links with Distinct Beam Configurations
Authors: Ding Jupeng , I Chih-Lin , Wang Lili
Published: December 2021

Visible light communication (VLC) is being explored as one promising approach to enable wireless data centers (WDC). Up to now, the visible light wireless data center links are still limited to the conventional Lambertian beam paradigm. The potential coverage gain relevant to the optical beam space is waiting for sufficient investigation. For addressing this issue, in this paper, the dynamic optical beam based WDC coverage enhancement scheme is introduced, and for each transmitter, the best candidate asymmetrical optical beam is selected to load the data signal. Numerical evaluation shows that, compared with the conventional static beam configuration, up to 6.76 dB peak signal to noise ratio (SNR) gain and 4.46 dB average SNR gain could be provided by the proposed dynamic beam scheme. Moreover, this SNR dynamic range is reduced to 36.65 dB while the counterpart of the static non-Lambertian beam configuration is up to 44.78 dB.
Video Pre-Caching Joint Hand-Off and Content Delivery in Multi-Access Edge Computing Based EONs
Authors: Chai Yutong , Yin Shan , Liu Lihao , Jiang Liyou , Huang Shanguo
Published: December 2021

Multi-access Edge Computing (MEC) performs as a feasible solution when it comes to content delivery, for it can bring contents much closer to users. However, the hand-off (HO) and latency that occur in user movement reduce the users’ quality of service. In this work, we consider the problem of high mobility handoff and content delivery of video streaming in the MEC based EONs. We propose a video pre-caching algorithm considering handoff and content delivery. The algorithm firstly selects the content delivery method and chunks the video accordingly using a preset threshold. Secondly, the algorithm chooses the shortest transmission path and calculates the latency time using Dijkstra method. Simulation results show that our algorithm significantly reduces the latency time and balances the server load compared to the other two baselines.
Research and Implementation of High-Speed Data Streams Symbol Synchronization Algorithm Using Training Sequence in IMDD-OOFDM System
Authors: Zhang Dongsheng , Zhang Gang , Wu Jiawei , Xiao Yunjie , Liang Liang , Lei Chao , Zhang Huibin
Published: December 2021

We propose a symbol synchronization algorithm for high-speed data streams in IMDD-OOFDM system using a training sequence. Sampling point phase offset approximately sustains within ±π/32 and symbol synchronization deviation stabilizes within ±0.5 sampling point in a real-time system of 1.5Gsa/s.
Node Importance Based Protection in Power-Grid Optical Backbone Communication Networks
Authors: Li Xiaobo , Feng Guoli , Ma Run , Lu Lu , Zhang Kaili , Ha Xinnan , Wei Wenbin , Wang Ning , Yu Xiaosong , Zhao Yongli
Published: December 2021

Power-grid optical backbone communication network is a special communication network serving for power system. With the development of new internet technology, there are more and more services carried by power-grid optical backbone communication networks. It plays an important role in the protection of nodes, especially important nodes which often carry important information of the network, when the network is under heavy traffic load. Hench, to solve this problem, we propose the concept of node importance and design a node importance-based protection algorithm under heavy traffic load scenario in power-grid optical backbone communication networks. Simulation results show that the proposed node importance based protection algorithm can obviously reduce blocking probability of the important nodes and improve the performance of the entire network in terms of blocking probability.
A High-Performance Infrared Imaging System with Adaptive Contrast Enhancement
Authors: Deng Feng , Su Zhong , Wang Rui , Liu Jun , Wang Yanzhi
Published: December 2021

Most of the existing infrared imaging systems employ the scheme of FPGA/FPGA+DSP with numerous peripheral circuits, which leads to complex hardware architecture, limited system versatility, and low computing performance. It has become an intriguing technical problem worldwide to simplify the system structure while improving the imaging performance. In this paper, we present a novel real-time infrared imaging system based on the Rockchip’s RV1108 visual processing SoC (system on chip). Moreover, to address the problem of low contrast and dim details in infrared images with a high dynamic range, an adaptive contrast enhancement method based on bilateral filter is proposed and implemented on the system. First, the infrared image is divided into a base layer and a detail layer through bilateral filter, then the base layer is compressed by an adaptive bi-plateau histogram equalization algorithm, and finally a linear-weighted method is used to integrate the detail layer to obtain the image with enhanced details. The experimental results indicate that compared with traditional algorithms, our method can effectively improve the overall contrast of the image, while effectively retaining the image details without noise magnification. For an image of 320*240 pixels, the real-time processing rate of the system is 68 frames/s. The system has the characteristics of simplified structure, perceptive image details, and high computing performance.
Routing Optimization Based on OSPF in Multi-Layer Satellite Network
Authors: Fu Mingjiang , Guo Bingli , Yang Hai , Pang Chengguang , Huang Shanguo
Published: December 2021

Multi-layer satellite network has become a hot spot for its wider coverage and higher bandwidth level. However, due to the frequent link changes and complexity of network, it is hard to find out a mechanism to handle well on long delay and high packet loss level. This paper proposes an optimized OSPF protocol called OOWLP to eliminate unnecessary routing convergence to optimize the packet loss level and delay ultimately. Link plan table, which records link contacting plan, will be used to update the link state database periodically so that we can eliminate the flooding procedure caused by scheduled link changes. On the other hand, Constrained Shortest Path First (CSPF) will be used to get business differentiated routes in multi-layer satellite network to optimized the throughput capacity in congestion scenario. We divide the sending packets into different businesses and get the routes for each business with longer duration limited by remaining bandwidth. Simulation results show that in normal scenario, average packet loss rate and delay performance are improved 17.42%, 51.44ms respectively, average packet loss rate and throughput capacity performance are optimized 79.05%, 9.81Mbps respectively in congestion scenario compared to standard OSPF. As a result, the proposed mechanism is able to shorten the average delay and lower the packet loss level in multi-layer satellite network.
Data Augmentation Algorithm Based on Generative Antagonism Networks (GAN) Model for Optical Transmission Networks (OTN)
Authors: Chen Liang , Zheng Kunpeng , Li Yang , Yang Xuelian , Zhang Han , Liang Yangyang , Huang Junhua , Zhang Yuan , Xie Pengfei , Zhao Yongli
Published: December 2021

OTN (Optical Transmission Networks) is one of the mainstream infrastructures over the ground-transmission networks, with the characteristics of large bandwidth, low delay, and high reliability. To ensure a stable working of OTN, it is necessary to preform high-level accurate functions of data traffic analysis, alarm prediction, and fault location. However, there is a serious problem for the implementation of these functions, caused by the shortage of available data but a rather-large amount of dirty data existed in OTN. In the view of current pretreatment, the extracted amount of effective data is very less, not enough to support machine learning. To solve this problem, this paper proposes a data augmentation algorithm based on deep learning. Specifically, Data Augmentation for Optical Transmission Networks under Multi-condition constraint (MVOTNDA) is designed based on GAN Mode with the demonstration of variable-length data augmentation method. Experimental results show that MVOTNDA has better performances than the traditional data augmentation algorithms.