System Side Research Articles

Persinggungan Kepemimpinan Transformational Dengan Kepemimpinan Visioner Dan Situasional

The purpose of writing this article is to determine the intersection of transformational leadership with visionary and situational leadership. This research uses a type of library research. Library research is research carried out by reviewing various journals and related reference books. The results of his research show that the transformative leadership model is a leadership model that can be an alternative to be applied in the current organizational system with various organizational dynamics and changes in line with the increasingly high demands of society. This is in line with the need for leaders who are able to bring about change. Transformative leadership is a leadership model that is different from traditional leadership models which view the relationship between leaders and employees (leadership and followership) as based solely on reward and punishment. A visionary leader is also understood as a leader who has a clear vision and mission in the organization. He has the ability to predict future events and express them in a clear and measurable vision and mission. Visionary leaders are able to raise the enthusiasm of their members with their motivation and imagination, to make the organization more alive and growing. Another situational leadership model is known as the Situational Contingency leadership model which revises the behavioral approach which is considered unable to explain ideal leadership. This approach illustrates that the style developed depends on the leader himself, the support of his followers, and a conducive situation. By analyzing the basic motivations of their subordinates, leaders can place them in appropriate situations. Transformative, visionary and situational leadership models have several elements in common, both in terms of systems, processes and objectives of Islamic Education Management. From the system side, there are elements of education unit leaders, educators, education staff, and various other elements; It is hoped that they can synergize in a process that is conducive to achieving goals.

Satellite Navigation Message Authentication in GNSS: Research on Message Scheduler for SBAS L1.

SBAS is mainly used in civil aviation and navigation, and will be applied to autonomous driving in the future. Given the open signal format of the Satellite Based Augmentation System (SBAS), which exposes security threats such as spoofing attacks, the utilization of SBAS navigation message authentication technology can improve the SBAS anti-spoofing ability from the system side. SBAS message authentication technology has become the future direction of SBAS system development. However, during the initial design of SBAS on L1, message authentication technology was not considered, and the addition of authentication messages will lead to further strain on existing message bandwidth resources. Therefore, in response to the issue of insufficient bandwidth resources after adding authentication messages to SBAS L1, a study on message scheduler for SBAS L1 authentication was conducted. A fixed time sequence dynamic message scheduler for incorporating authentication messages was proposed. This scheduler reduces the frequency of broadcasting clock error parameters to mitigate the impact of adding authentication messages. Furthermore, an optimized fixed time sequence dynamic message scheduler based on SBAS clock error messages was introduced. The results show that the message scheduler can not only improve the flexibility of SBAS message broadcasting, but also shorten the update interval of various types of messages under the premise of meeting the maximum update interval requirement. With minimal impact on the maximum message update interval, it improves the integrity, authenticity, and availability of messages. This approach can increase the effective message ratio in SBAS to over 91%, and the optimal solution reduces the initial user positioning time to 26 s.

Towards Efficient Dynamic Binary Translation Optimizations Based on RISC Architectural Features

Dynamic binary translation (DBT) is a core technology that enables the migration of legacy software to different instruction set architectures while maintaining the original semantics. However, the development and maintenance of an efficient cross-DBT system are challenging. Key challenges include memory access overhead, inefficient instruction simulation, and frequent context switches. In this paper, we propose three novel optimization techniques. First, we formalize a register mapping cost model and investigate a hierarchical register mapping approach to bridge the memory access overhead. Second, we accelerate floating point (FP) emulation by surrounding the use of hardware FP unit with high-efficiency non-FP code. Third, we present a function inlining approach to alleviating the overhead associated with indirect control lookup. On the system side, we implement our approach on ARM64 and SW64 architectures based on QEMU and extensively evaluate the effectiveness with the SPEC2006 benchmark suite. The experimental results show that an average of 1.28× performance speedup and 13.41% code size reduction can be achieved on SW64. Similarly, on ARM64, we achieve an average of 1.15× performance speedup and 11.48% code size reduction.

6G Network AI Architecture for Everyone-Centric Customized Services

Mobile communication standards were developed for enhancing transmission and network performance by using more radio resources and improving spectrum and energy efficiency. How to effectively address diverse user requirements and guarantee everyone's Quality of Experience (QoE) remains an open problem. The Sixth Generation (6G) mobile systems will solve this problem by utilizing heterogenous network resources and pervasive intelligence to support everyone-centric customized services anywhere and anytime. In this article, we first coin the concept of Service Requirement Zone (SRZ) on the user side to characterize and visualize the integrated service requirements and preferences of specific tasks of individual users. On the system side, we further introduce the concept of User Satisfaction Ratio (USR) to evaluate the system's overall service ability of satisfying a variety of tasks with different SRZs. Then, we propose a network Artificial Intelligence (AI) architecture with integrated network resources and pervasive AI capabilities for supporting customized services with guaranteed QoEs. Finally, extensive simulations show that the proposed network AI architecture can consistently offer a higher USR performance than the cloud AI and edge AI architectures with respect to different task scheduling algorithms, random service requirements, and dynamic network conditions.

Pseudolites to Support Location Services in Smart Cities: Review and Prospects

The location service is an important part of the smart city. A unified location service for outdoor and indoor/overground and underground activity will assist the construction of smart cities. However, with different coordinate systems and data formats, it is difficult to unify various positioning technologies on the same basis. Global navigation satellite system (GNSS)-based positioning is the only way to provide absolute location under the Earth-centered, Earth-fixed coordinate system (ECEF). Increasing indoor and underground human activity places significant demand on location-based services but no GNSS signals are available there. Fortunately, a type of satellite that is indoors, known as pseudolite, can transmit GNSS-like ranging signals. Users can obtain their position by receiving ranging signals and their resection without adding or switching other sensors when they go from outdoors to indoors. To complete the outreach of the GNSS indoors and underground to support the smart city, how to adapt the pseudolite design and unify coordinate frames for linking to the GNSS remain to be determined. In this regard, we provide an overview of the history of the research and application of pseudolites, the research progress from both the system side and the user side, and the plans for pseudolite-based location services in smart cities.

Challenges and Solutions for the Benefit Assessment of Tumor-Agnostic Therapies in Germany

ObjectivesPrecision medicine is increasingly important in cancer treatment. Tumor-agnostic therapies are used regardless of tumor entity because they target specific biomarkers in tumors. In Germany, the benefit assessment of oncological pharmaceuticals has traditionally been entity specific. Thus, the assessment of tumor-agnostic therapies leaves stakeholders with various challenges. Our aim was to systematically identify challenges and possible solutions for the benefit assessment of therapies in tumor-agnostic indications using a 2-step sequential qualitative approach. MethodsTo identify relevant challenges, we conducted qualitative interviews with different stakeholders who were involved in previous benefit assessments of tumor-agnostic therapies in Germany. To identify possible solutions for these challenges, we systematically searched MEDLINE, Embase, and the websites of European health technology assessment bodies for relevant literature. ResultsWe identified 9 categories of challenges of which the following were deemed particularly relevant: the absence of direct comparative studies, challenges regarding the use of basket studies and indirect comparisons, challenges in determining the appropriate comparative therapy in a tumor-agnostic indication, and challenges on the system side. Seven categories of solutions were identified, including an increased use of real-world evidence, making conditional decisions in the context of systematic reassessments, splitting the field of application, and finding (new) ways to design and analyze basket studies. ConclusionA range of possible solutions, which can help to meet the identified challenges in Germany, have been found. Future research should investigate the acceptance and feasibility of these solutions.

Adjustable proportional-integral multivariable observer-based FDI attack dynamic reconstitution and secure control for cyber-physical systems

This paper investigates the false data injection (FDI) attack dynamic reconstitution and secure control problems for cyber-physical systems (CPSs) with disturbances. The FDI attacks on the actuator channel and sensor channel are considered simultaneously, and the attack signals acting on the system side are regarded as time-varying signals. Firstly, a novel adjustable proportional-integral multivariable observer (APIMO) scheme is designed to synchronously reconstitute the system states, actuator FDI attacks, and sensor FDI attacks. In particular, the impacts of instantaneous increment of attack signals are attenuated, which enables the proposed APIMO scheme more advantageous in reconstituting time-varying attack signals. Secondly, incorporating a robust attenuation technique, an APIMO-based security controller with corrective capability is designed, such that the discrete-time CPSs achieve asymptotic stability with H∞ performance index. Finally, the simulation example and experiment compared with existing results are realized to examine the feasibility and advantages of the developed strategy.

Learning the Optimal Recommendation from Explorative Users

We propose a new problem setting to study the sequential interactions between a recommender system and a user. Instead of assuming the user is omniscient, static, and explicit, as the classical practice does, we sketch a more realistic user behavior model, under which the user: 1) rejects recommendations if they are clearly worse than others; 2) updates her utility estimation based on rewards from her accepted recommendations; 3) withholds realized rewards from the system. We formulate the interactions between the system and such an explorative user in a K-armed bandit framework and study the problem of learning the optimal recommendation on the system side. We show that efficient system learning is still possible but is more difficult. In particular, the system can identify the best arm with probability at least 1-delta within O(1/delta) interactions, and we prove this is tight. Our finding contrasts the result for the problem of best arm identification with fixed confidence, in which the best arm can be identified with probability 1-delta within O(log(1/delta)) interactions. This gap illustrates the inevitable cost the system has to pay when it learns from an explorative user's revealed preferences on its recommendations rather than from the realized rewards.

Improved generator circuit breaker failure protection method combined with voltage quantities

Safe and reliable generator circuit breaker (GCB) failure protection can ensure effective isolation between generator and system under different fault conditions to avoid generator damage. In this paper, aiming at the existing problems of the GCB failure protection criterions based on current quantities, the voltage quantities are combined to constitute the improved GCB failure protection. Through fault sequence network analysis, it is concluded that there are voltage phasor differences between the two sides of GCB for the normally separated phases, while the values are zero for the rejected phases. On this basis, a GCB failure protection criterion based on the voltage phasor difference is proposed for the generators equipped with PTs at the two sides of GCB. After a generator fault occurs, in the process of de-excitation, the terminal voltage drops quickly except GCB three-phase rejection because of the voltage support from the system side. Moreover, under the GCB three-phase rejection situation, the loads cannot be effectively shed and no terminal voltage increase is caused compared with other GCB operation situations. Thus, the protection criterions based on the voltage variation are proposed to distinguish GCB three-phase rejection situation, including the voltage changing rate criterion and the increased voltage mutation criterion. They are used for generators equipped with only one terminal PT. Simulation results of PSCAD/EMTDC verify the effectiveness of the proposed methods.

Reactive power compensation method in modern power system facing energy conversion

The equivalent model of modern power system is more and more difficult to describe its complex stability characteristics, with the continuous promotion of power conversion. This paper proposes an improved equivalent method to consider the voltage deviation between the system side and the load side. On this basis, the voltage stability margin index is derived. Therefore, the relationship between voltage stability margin and reactive power compensation can be analyzed. Finally, the correctness and effectiveness of the method are verified by IEEE39 node system and actual provincial grid. The proposed method can obviously improve the voltage stability margin when applied to the small summer mode of the actual system. (The stability margin of the weakest node increased by 12.8%, and the average stability margin of the whole network increased by 1.5%.)

Acidic property of YNU-5 zeolite influenced by its unique micropore system

YNU-5 zeolite has the YFI -type framework with a 12-12-8-ring system (2-dimensional 12-oxygen membered ring pores 3-dimensionally connected by twin 8-ring channels), and isolated 8-ring channels separated from the system by a thin (mono-atomic silicate) wall. In this study, the acidic property of YNU-5 zeolite was analyzed mainly by means of the ammonia IRMS-TPD (infrared/mass spectroscopy temperature-programmed desorption) method. In addition, the accessibility of acid sites was evaluated through adsorption of pyridine. The number of Brønsted acid sites approximately agreed with the number of Al atoms, and the amount of Lewis acid sites was negligible, indicating that most acid sites have the nature of bridging Si(OH)Al group in the YFI framework. Most of the Brønsted acidic OH groups on the YNU-5 zeolites (including the dealuminated samples) reacted with pyridine vapor at 343 K to form pyridinium cations, indicating that the Brønsted acid sites are highly accessible through the 12-12-8-ring system. Enthalpy of ammonia desorption from the Brønsted acid site, which can be an index of acid strength or reactivity of the acid site with a basic reactant, was in the following order: FAU < MOR (12-ring) ≈ *BEA < MFI < MWW ≈ YFI < MOR (8-ring), indicating the markedly large ammonia desorption enthalpy on the YNU-5 zeolite compared to the other 12-ring zeolites. The DFT calculations suggest that the Brønsted acidic protons with especially high ammonia desorption enthalpy are located in the isolated 8-ring but accessible from the 12-12-8-ring system side. In addition, dealumination at a high temperature under the reflux conditions with nitric acid resulted in the preferential removal of Brønsted acid sites with low ammonia desorption enthalpy, probably in the 12-12-8-ring system. The presence of reactive Brønsted acid sites in the isolated 8-ring, accessibility to them from the 12-12-8-ring system, and preferential removal of the Brønsted acid sites from the 12-12-8-ring system are reasonably consistent with the previously reported catalytic properties for dimethyl ether-to-olefin reaction. • Enthalpy of ammonia desorption (Δ H ) from the Brønsted acid site on the YNU-5 zeolite was high. • The Brønsted acidic protons with high Δ H were located in the isolated 8-ring but accessible from the 12-12-8-ring system. • Dealumination in the reflux conditions of nitric acid preferential proceeded in the 12-12-8-ring system.

Securing the Automatic Identification System (AIS): Using public key cryptography to prevent spoofing whilst retaining backwards compatibility

AbstractThe civilian Automatic Identification System (AIS) has no inherent protection against spoofing. Spoofed AIS messages have the potential to interfere with the safe navigation of a vessel by, amongst other approaches, spoofing maritime virtual aids to navigation and/or differential global navigation satellite system (DGNSS) correction data conveyed across it. Acting maliciously, a single transmitter may spoof thousands of AIS messages per minute with the potential to cause considerable nuisance; compromising information provided by AIS intended to enhance the mariner's situational awareness. This work describes an approach to authenticate AIS messages using public key cryptography (PKC) and thus provide unequivocal evidence that AIS messages originate from genuine sources and so can be trusted. Improvements to the proposed AIS authentication scheme are identified which address a security weakness and help avoid false positives to spoofing caused by changes to message syntax. A channel loading investigation concludes that sufficient bandwidth is available to routinely authenticate all AIS messages whilst retaining backwards compatibility by carrying PKC ‘digital signatures’ in a separate VHF Data Exchange System (VDES) side channel.

Dynamic Equivalent Modeling of Wind Farm Based on Dominant Variable Hierarchical Clustering Algorithm

The actual operating state of the wind turbine group is influenced by the wake effect and control mode; however, the current models cannot describe the actual operating state very well. A dynamic equivalent modeling method for a doubly fed wind power generator is proposed on the basis of ensuring the accurate description of the wind turbine group. As the clustering index, dominant variables are used in the hierarchical clustering algorithm, which are extracted by principal component analysis. Three dynamic equivalent models of 24 wind turbines are established using PSCAD software platform, which use 13 state variables, wind speed, and dominant variables as clustering indexes, respectively. Furthermore, the active power and reactive power output curves of wind farm are simulated in the case of the three-phase short-circuit fault on the system side or wind speed fluctuation, respectively. The simulation results demonstrate that it is reasonable and effective to extract slip ratio and wind turbine torque as clustering index, and the maximal relative error between the dominant variable equivalent model and 13-state-variable model is only 9.9%, which is greatly lower than that of the wind speed model, K-means clustering model, neural network model, and support vector machine model. This model is easy to implement and has wider application prospect, especially for characteristics analysis of large-scale wind farm connected to power grid.

Intelligente Persönliche Assistenten (IPA) mit Voice User Interfaces (VUI) als ‚Beteiligte‘ in häuslicher Alltags­interaktion. Welchen Aufschluss geben die Protokolldaten der Assistenzsysteme?

The paper presents research results emerging from the analysis of Intelligent Personal Assistants (IPA) log data. Based on the assump­tion that media and data, as part of practice, are produced and used cooperatively, the paper discusses how IPA log data can be used to analyze (1) how the IPA systems operate through their connection to platforms and infrastructures, (2) how the dialog systems are de­signed today and (3) how users integrate them into their everyday social interaction. It also asks in which everyday practical contexts the IPA are placed on the system side and on the user side, and how privacy issues in particular are negotiated. It is argued that, in order to be able to investigate these questions, the technical-institutional and the cultural-theoretical perspective on media, which is common in German media linguistics, has to be complemented by a more fun­damental, i.e. social-theoretical and interactionist perspective.

Crowdsourcing Ecologically-Valid Dialogue Data for German

Despite their increasing success, user interactions with smart speech assistants (SAs) are still very limited compared to human-human dialogue. One way to make SA interactions more natural is to train the underlying natural language processing modules on data which reflects how humans would talk to a SA if it was capable of understanding and producing natural dialogue given a specific task. Such data can be collected applying a Wizard-of-Oz approach (WOz), where user and system side are played by humans. WOz allows researchers to simulate human-machine interaction while benefitting from the fact that all participants are human and thus dialogue-competent. More recent approaches have leveraged simple templates specifying a dialogue scenario for crowdsourcing large-scale datasets. Template-based collection efforts, however, come at the cost of data diversity and naturalness. We present a method to crowdsource dialogue data for the SA domain in the WOz framework, which aims at limiting researcher-induced bias in the data while still allowing for a low-resource, scalable data collection. Our method can also be applied to languages other than English (in our case German), for which fewer crowd-workers may be available. We collected data asynchronously, relying only on existing functionalities of Amazon Mechanical Turk, by formulating the task as a dialogue continuation task. Coherence in dialogues is ensured, as crowd-workers always read the dialogue history, and as a unifying scenario is provided for each dialogue. In order to limit bias in the data, rather than using template-based scenarios, we handcrafted situated scenarios which aimed at not pre-script-ing the task into every single detail and not priming the participants’ lexical choices. Our scenarios cued people’s knowledge of common situations and entities relevant for our task, without directly mentioning them, but relying on vague language and circumlocutions. We compare our data (which we publish as the CROWDSS corpus; n = 113 dialogues) with data from MultiWOZ, showing that our scenario approach led to considerably less scripting and priming and thus more ecologically-valid dialogue data. This suggests that small investments in the collection setup can go a long way in improving data quality, even in a low-resource setup.

Improving E-Commerce Effectiveness Using Augmented Reality

The research aims to increase the effectiveness of e-commerce using augmented reality so that it can be used for online sellers as an option for existing sales media. The target of the application of augmented reality kitchen tools such as plates, cups, bowls, and teapots which are small equipment are social media users (Instagram) such as housewives or career women who usually use smartphones. The approach taken to determine the e-commerce sales model by applying augmented reality technology is to refer to the results of the system tests conducted previously. The conversion process is carried out in the implementation of augmented reality-based e-commerce sales media by using the parallel conversion method, namely by implementing a new system alongside the old system. In this study using the reliability test method, normality test, and Wilcoxon different test paired samples. From the test results show that the data are in the area of ​​rejection of Ho then accept H₁ which means that changes occur before and after using augmented reality, with the conclusion that an increase in the effectiveness of e-commerce using augmented reality, for this augmented reality application can be used on e-sales media commerce instagram to enhance technological progress.&#x0D; &#x0D; The approach taken to find out the e-commerce sales model by applying augmented reality technology is to refer to the results of the system tests carried out previously. From the results of the questionnaire shows that there is an increase in effectiveness before and after using augmented reality, for this augmented reality application can be used on media e-commerce sales Instagram to improve technological progress. The conversion process carried out in the implementation of media sales of e-commerce based on augmented reality using the parallel conversion method, namely by applying a new system side by side with the old system. The process of selling e-commerce on Instagram using augmented reality and without augmenetd reality will still be done as a standard process in the kitchenzone sales process.&#x0D; The test results in this study used three methods, namely reliability testing with the results of data that is not realistic, normality test with abnormal data results, and different tests of Wilcoxon samples paired with the results of data in the Ho rejection area then accept H₁ which means changes before and after using augmented reality, with the conclusion that there is an increase in the effectiveness of e-commerce using augmented reality.&#x0D; Keywords: e-commerce, augmented reality, sales, increase, effectiveness.

Object traceability graph: Applying temporal graph traversals for efficient object traceability

EPC Information Services (EPCIS) is a de-facto standard for information systems for object traceability. Expert and intelligent systems complying with the standard reap benefits from its global interoperability, and thus every application can easily retrieve track and trace information of everyday-objects in an identical manner. However, existing systems are bound to go through scalability issues due to inevitable recursive queries because users are required to handle multiple transformation and aggregation of the objects instead of the systems. In the article, we propose an enhanced EPCIS system called Object Traceability Graph (OTG). The system applies a technique, temporal graph traversal, to resolve the issues. With the system, applications do not need to request recursive queries on their side. Instead, applications are able to represent their ad-hoc traceability queries in a single statement provided by the system. Then, the statement is interpreted and efficiently processed on the system side. In our evaluation, it is shown that our approach enhances the scalability of EPCIS systems by reducing the number of queries and the amount of data transmission. The proposed approach can be applied to existing expert and intelligent systems. Furthermore, we believe that an additional interface, abstracting our approach, is general enough to be included in the standard.

BuildingFusion: Semantic-Aware Structural Building-Scale 3D Reconstruction.

Scalable geometry reconstruction and understanding is an important yet unsolved task. Current methods often suffer from false loop closures when there are similar-looking rooms in the scene, and often lack online scene understanding. We propose BuildingFusion, a semantic-aware structural building-scale reconstruction system, which not only allows building-scale dense reconstruction collaboratively, but also provides semantic and structural information on-the-fly. Technically, the robustness to similar places is enabled by a novel semantic-aware room-level loop closure detection(LCD) method. The insight lies in that even though local views may look similar in different rooms, the objects inside and their locations are usually different, implying that the semantic information forms a unique and compact representation for place recognition. To achieve that, a 3D convolutional network is used to learn instance-level embeddings for similarity measurement and candidate selection, followed by a graph matching module for geometry verification. On the system side, we adopt a centralized architecture to enable collaborative scanning. Each agent reconstructs a part of the scene, and the combination is activated when the overlaps are found using room-level LCD, which is performed on the server. Extensive comparisons demonstrate the superiority of the semantic-aware room-level LCD over traditional image-based LCD. Live demo on the real-world building-scale scenes shows the feasibility of our method with robust, collaborative, and real-time performance.

Development path of regional integrated energy system

Regional integrated energy system integrates the gas supply system, heating system and power system. In order to build regional integrated energy system, this paper summarizes four kinds of development paths of regional integrated energy system represented by the system side, the supply side, energy network and the user side. This paper can provide a very useful reference for future integrated energy system construction in China.

Trace-Driven QoE-Aware Proactive Caching for Mobile Video Streaming in Metropolis

To meet the ever-increasing demands for mobile video streaming, proactive caching over the network edge has been proposed as a promising solution for next generation wireless networks. In this paper, we consider the trace-driven cache-enabled video streaming design in the scenario of a metropolis to boost the spectral efficiency on the system side and the quality of experience (QoE) on the user side. A novel scheme to jointly provide proactive caching, power allocation, user association and adaptive video streaming is designed via the formation of a QoE-aware throughput maximization problem. Specifically, the caches are refreshed in the content placement phase according to the resource status and expected traffic, which is obtained by exploring the traces collected over a big city. In addition, users need to be associated with a proper small base station (SBS) in the content delivering phase to provide the highest attainable rate. We demonstrate the effectiveness of the proposed scheme via experiments conducted over real user trace datasets.