UAV Obstacle Avoidance Algorithm to Navigate in Dynamic Building Environments

In this work, a real-time collision avoidance algorithm was presented for autonomous navigation in the presence of fixed and moving obstacles in building environments. The current implementation is designed for autonomous navigation between waypoints of a predefined flight trajectory that would be performed by an UAV during tasks such as inspections or construction progress monitoring. It uses a simplified geometry generated from a point cloud of the scenario. In addition, it also employs information from 3D sensors to detect and position obstacles such as people or other UAVs, which are not registered in the original cloud. If an obstacle is detected, the algorithm estimates its motion and computes an evasion path considering the geometry of the environment. The method has been successfully tested in different scenarios, offering robust results in all avoidance maneuvers. Execution times were measured, demonstrating that the algorithm is computationally feasible to be implemented onboard an UAV.

Design of Prototype Information System for Tracking & Tracing Fish Distribution Based on Mobile Agent

The National Fish Logistics System or often called SLIN is an Indonesian Ministry of Maritime Affairs and Fisheries program that aims to maintain the stability of the production and marketing systems and control the disparity in national fish prices. Central Sulawesi is the Province that becomes the main corridor of this program. The inefficient distribution monitoring process generally causes several problems in the field of fisheries distribution management that still often occur today by the regional Ministry of Maritime Affairs and Fisheries. It indicates that SLIN is not yet running optimally. This study purpose a prototype design of fish distribution tracking based on a mobile agent that can use to help consumers to track distribution channels and get information about the origin of the fish to be purchased. The data will further process for monitoring fish distribution in a real-time manner by the regional Ministry of Maritime Affairs and Fisheries. A proper monitoring mechanism will undoubtedly help the government in making policies and conducting supervision to make the SLIN implementation successful in Central Sulawesi. By the research, we found that the proposed method can gather data from every level fish distribution agent then processed the data to inform about distribution line and the origin of the fish for the consumer. The proposed solution framework could be implemented and nearly fit with current implementation criteria. The framework later can be a base framework for developing a more advanced information system for SLIN in Central Sulawesi Region.

Current Implementation and Future Prospects of Santi-Morf V.1.0

SANTI-Morf (Prihantoro, 2021) is a new morphological analyser for Indonesian. In SANTI-Morf annotation scheme (Prihantoro, 2019), morpheme tokens are linked to their annotations. The tokens are presented in their orthographic and citation forms to allow (allo)morph or morpheme-based searches. Users can also perform retrievals on the basis of formal and functional morphological criteria as SANTI-Morf tagset encodes the analyses of morphemes’ forms (e.g. roots, clitics, affix type) and functions (e.g. passive voice, active voice, adjective degrees, etc.). Currently, the scheme is implemented in Nooj (Silberztein, 2003), a linguistic development environment. It enables users to index and annotate Indonesian texts in their local PC, and later perform searches based on morphological criteria and or tokens defined by the SANTI-Morf scheme. AbstrakSANTI-Morf (Prihantoro, 2021) adalah sebuah program analisis morfologi terbaru untuk bahasa Indonesia. Dalam skema anotasi SANTI-morf (Prihantoro, A new tagset for morphological analysis of Indonesian, 2019), setiap token morfem terhubung dengan anotasinya. Token-token ini direpresentasikan dalam bentuk ortografis dan bentuk sitasi sehingga memungkinkan pengguna untuk melakukan penelusuran berbasis (alo)morf atau morfem. Selain itu, pengguna juga bisa melakukan penelusuran berbasiskan bentuk atau fungsi morfem. Ini karena tagset analitik yang digunakan di SANTI-morf mencakup bentuk (di antaranya: akar, klitik, jenis afiksasi) dan fungsi (di antaranya: aktif, pasif, derajat ajektiva). Saat ini, SANTI-morf diimplementasikan menggunakan NooJ (Silberztein, 2003), sebuah program pengembangan aplikasi linguistik. Pengguna dapat mengindeks dan menganotasi teks berbahasa Indonesia di komputer mereka, dan selanjutnya melakukan penelusuran menggunakan kriteria morfologi dan skema tokenisasi yang digunakan di skema anotasi SANTI-morf.

Quo Vadis? Carbon Peak and Emission Network for China in the Post-Pandemic Era

China’s carbon peak greatly impacts global climate targets. Limited studies have comprehensively analyzed the influence of the COVID-19 pandemic, changing emission network, and recent carbon intensity (CI) reduction on the carbon peak and the corresponding mitigation implications. Using a unique dataset at different levels, we project China’s CO2 emission by 2035 and analyze the time, volume, driver patterns, complex emission network, and policy implications of China’s carbon peak in the post- pandemic era. We develop an ensemble time-series model with machine learning approaches as the projection benchmark, and show that China’s carbon peak will be achieved by 2021–2026 with > 80% probability. Most Chinese cities and counties have not achieved carbon peaks response to the priority-peak policy and the current implementation of CI reduction should thus be strengthened. While there is a "trade off" between the application of carbon emission reduction technology and economic recovery in the post-pandemic era, a close cooperation of interprovincial CO2 emission is also warranted.

Intension, Current Implementation and Improvement Path of Instructional Leadership: A school Case of Hong Kong

This paper aims to analyze the implementation status of instructional leadership of a HK primary school that benefits in mid-ranking and mainly uses instructional leadership to develop their curriculums. Instructional leadership is the result of introducing leadership concepts into the teaching field, and it reflects the changing trend of school management to a certain extent. At present, the research on instructional leadership is limited to the principal's leadership, which limits the overall function of instructional leadership. By investigating the actuality of school and the implementation of school policies and programs, the paper deeply analyzes the existed problems in a Hong Kong school and offers optimization suggestions: strengthen the school distributive leadership construction, promote the professional development of teachers and curriculums, establish a diversified evaluation system, develop an organizational culture of democratic cooperation and improve the curriculum leadership of principals.

Application of Multi-dimensional Technology in Water Conservation Monitoring of Power Transmission and Transformation Production and Construction Project

Under the background of the new era, as the production and construction projects of soil and water conservation began to fully promote the “integration of heaven and earth”, the traditional application technology has been unable to meet the needs of practical development, and the power transmission and transformation production and construction projects put forward higher application requirements. Therefore, on the basis of understanding the current implementation of soil and water conservation monitoring work, this paper analyzes how to reasonably use UAV technology in practical monitoring work according to the multi-dimensional technical means proposed in the new era, and conducts performance analysis according to the practical verification.

Cosmological simulations of number counts

In this paper we present for the first time the angular power spectra C ℓ(z,z') for number counts from relativistic N-body simulations. We use the relativistic N-body code gevolution with its exact integration of lightlike geodesics which include all relativistic scalar contributions to the number counts. We compare our non-perturbative numerical results with the results from class using the hmcode approximation for the non-linear matter power spectrum. We find that this simple description is excellent for both, the density and the convergence. On the other hand, the current implementation of redshift-space distortions in Boltzmann codes is not accurate. We also find that the largest contribution to the unequal-redshift power spectra is the cross-correlation of the density and the lensing contribution to the number counts, especially for redshift bins that are far apart. Correlating the number counts with the convergence map we find that the signal is dominated by the lensing-lensing term when the convergence field redshift is not higher than the number counts one, while it is dominated by the density-lensing term in the opposite case. In the present study, the issue of galaxy bias is deliberately left aside by considering only unbiased samples of matter particles from the simulations.

The Development of Multi-scale Data Management for CityGML-based 3D Buildings

The CityGML model is now the norm for smart city or digital twin city development for better planning, management, risk-related modelling and other applications. CityGML comes with five levels of detail (LoD), mainly constructed from point cloud measurements and images of several systems, resulting in a variety of accuracies and detailed models. The LoDs, also known as pre-defined multi-scale models, require large storage-memory-graphic consumption compared to single scale models. Furthermore, these multi-scales have redundancy in geometries, attributes, are costly in terms of time and workload in updating tasks, and are difficult to view in a single viewer. It is essential for data owners to engage with a suitable multi-scale spatial management solution in minimizes the drawbacks of the current implementation. The proper construction, control and management of multi-scale models are needed to encourage and expedite data sharing among data owners, agencies, stakeholders and public users for efficient information retrieval and analyses. This paper discusses the construction of the CityGML model with different LoDs using several datasets. A scale unique ID is introduced to connect all respective LoDs for cross-LoD information queries within a single viewer. The paper also highlights the benefits of intermediate outputs and limitations of the proposed solution, as well as suggestions for the future.

A new implementation of OntoSTEP: Toward flexible generation of ontology and knowledge graphs of EXPRESS-driven data

Barbau et al. (2012) proposed OntoSTEP that translates the STandard for the Exchange of Product Model Data (STEP) schema and its instances to an ontology and knowledge graphs represented in the Web Ontology Language (OWL). OntoSTEP models can be integrated with any OWL models to enrich their semantics. However, the current implementation has several limitations, mainly in (1) supporting the latest ISO 10303 schemas and (2) generating various representation types depending on the purpose of use. We present an improved implementation of OntoSTEP to overcome these limitations. In this paper, we demonstrate that the new implementation can successfully translate STEP schemas and instances in a faster and more flexible way, thus furthering the adoption of the full capabilities of ISO 10303. By encoding STEP entities in OWL, we facilitate integration with other standards through knowledge graphs.

English Language Teachers’ Beliefs and Practices Concerning Continuous Assessment in Omani Cycle 1 Schools

Aims: In this study, the authors investigated English language teachers’ beliefs on continuous assessment, the relationship between their beliefs and continuous assessment practices, and factors influencing teachers’ continuous assessment practices in Cycle 1 schools in the South Batinah Governorate in the Sultanate of Oman. Study Design: The authors used a mixed-methods approach employing an explanatory sequential design. In the first phase, a questionnaire investigating teachers’ beliefs and assessment practices was distributed to 154 teachers. In the second phase, interviews and artefact observation were conducted with three teachers. Principal components analysis was used to analyze questionnaire data, whereas interviews were analyzed using thematic analysis. Results: The results indicate that teachers demonstrate positive beliefs towards the implementation of continuous assessment. They highlighted some aspects of the benefits of continuous assessment such as providing feedback to learners and parents and encouraging teachers to use a variety of methods, reflect on their assessment practices and adapt their techniques. However, discrepancies were found between teachers’ reported beliefs and their continuous assessment practices. These discrepancies resulted from large class size, lack of time, syllabus and timetable load, mixed learner abilities, lack of clarity of the assessment handbook, parents’ attitudes, and inadequate assessment training. Conclusion: The study is significant because it helps clarify the relationship between teachers’ beliefs and their assessment practices. In addition, the study provides information for policymakers, assessment designers, and training program designers on the current implementation of continuous assessment in Cycle 1. The study significantly contributes to the existing literature since to the best of the authors’ knowledge it is the first study conducted in Oman investigating teachers’ beliefs on the practices of continuous assessment in Cycle 1 schools.