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Gender Bias And Artificial Intelligence: A Challenge Within The Periphery Of Human Rights, Prashant Chauhan, Gagandeep Kaur

Hasanuddin Law Review

Technology is advancing at an exponential rate, and artificial intelligence has become a contentious issue of the day. A plethora of fields influencing human life has been impacted by artificial intelligence, whereas the development of artificial intelligence has opened Pandora’s box of legal concerns. Several international organizations, including the United Nations, have identified gender equality as an indispensable constituent of the protection of human rights. The voyage of gender equality has seen a long phase of struggle and persists. This paper aims to analyze, in what manner artificial intelligence is affecting gender equality, raising concerns on the issues regarding the …

Sequential Convex Programming Using Safe Flight Corridor For Trajectory Planning Of Uavs, Zhu Wang, Zhenpeng Zhang, Mengtong Zhang, Guangtong Xu

Journal of System Simulation

Abstract: To address the issues of sensitivity to initial values and weak convergence of sequential convex programming(SCP) based time-optimal trajectory planning for UAVs, a SCP method using safety flight corridor, denoted as SFC-SCP(safe flight corridor-sequential convex programming) is proposed. According to the obstacle avoidance path obtained from the front-end path planning, a safe flight corridor is constructed by forming a convex polygon safe flight area without obstacles for each trajectory point. The non-convex obstacle avoidance constraint is converted into linear inequality constraints to improve convergence ability. The rear-end SCP method is used to transform the nonlinear trajectory optimization problem under …

فاعلية اختلاف نمط الاختبارات المحوسبة في تنمية مهارات حل المسائل الحسابية والتفكير التأملي لدى طلاب المرحلة المتوسطة في المدينة المنورة, أيمن محمد زهدي

Journal of King Abdulaziz University: Educational and Psychological Sciences

تناولت الدراسة الحالية تأثير فاعلية اختلاف أنماط الاختبارات المحوسبة في تنمية مهارات حل المسائل الحسابية والتفكير التأملي في مقرر الرياضيات على عينة قوامها (60) طالب من طلاب المرحلة المتوسطة في المدينة المنورة، وقسمت العينة بالتساوي إلى مجموعتين تجريبيتين، تم تطبيق النمط الأول للاختبارات المحوسبة في حل المسائل الحسابية باستخدام الوسائط التعليمية اللفظية مع الصورة والصوت على المجموعة التجريبية الأولى، وتطبيق النمط الثاني للاختبارات المحوسبة في حل المسائل الحسابية باستخدام الوسائط التعليمية اللفظية مع الصورة على المجموعة الثانية. واستخدم الباحث المنهج شبة التجريبي، وحلل البيانات باستخدام اختبارات دلالة الفروق بين المجموعات المستقلة والمجموعات المرتبطة، وكشفت الدراسة عن مجموعة من النتائج من …

A Sensitivity Analysis Of The Modeling Of Polycyclic Aromatic Hydrocarbon Emission In Galaxies, A. Maragkoudakis, C. Boersma, P. Temi, J. D. Bregman, L. J. Allamandola, Vincent J. Esposito, A. Ricca, E. Peeters

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

We have conducted a sensitivity analysis on the mid-infrared spectral decomposition of galaxies and the modeling of the polycyclic aromatic hydrocarbon (PAH) emission spectrum with the NASA Ames PAH Infrared Spectroscopic Database (PAHdb) to assess the variance on the average galaxy PAH population properties under a grid of different modeling parameters. We find that the short-low and short-low+long-low Spitzer-IRS decomposition with PAHFIT provides consistent modeling and recovery of the 5–15 μm PAH emission spectrum. For PAHdb modeling, application of a redshift to the calculated spectra to account for anharmonic effects introduces a 15%–20% variance on the derived parameters, while its …

Scaling Arctic Landscape And Permafrost Features Improves Active Layer Depth Modeling, Wouter Hantson, Daryl Yang, Shawn P. Serbin, Joshua B. Fisher, Daniel J. Hayes

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Tundra ecosystems in the Arctic store up to 40% of global below-ground organic carbon but are exposed to the fastest climate warming on Earth. However, accurately monitoring landscape changes in the Arctic is challenging due to the complex interactions among permafrost, micro-topography, climate, vegetation, and disturbance. This complexity results in high spatiotemporal variability in permafrost distribution and active layer depth (ALD). Moreover, these key tundra processes interact at different scales, and an observational mismatch can limit our understanding of intrinsic connections and dynamics between above and below-ground processes. Consequently, this could limit our ability to model and anticipate how ALD …

Contexto Rural Del Caribe Colombiano Descrito Por Docentes De MatemáTicas De Secundaria, Ricela Feliciano-Semidei, Kevin A. Palencia Infante

Faculty Articles, Papers, and Other Scholarship

Este estudio cualitativo tiene como propósito explorar las perspectivas de un grupo de catorce docentes de matemática acerca del contexto rural donde laboran. Los docentes participaron en un proyecto donde visitaron hogares de sus estudiantes con el propósito de conocer las comunidades donde trabajan y crear currículos matemáticos pertinentes a nivel secundario. Analizamos cinco entrevistas de grupos focales donde se preguntó a los docentes acerca de su experiencia en el proyecto, así como sus creencias acerca de las matemáticas, su enseñanza y aprendizaje. Encontramos que los docentes enmarcaron sus respuestas describiendo el contexto rural donde trabajan al analizar factores micro: …

Water Quality Contributions Of Selected Buffalo River Headwaters In Searcy County, Arkansas, 2019–2023, Patrick Michael Dyer

Student Theses and Dissertations

Regulated by the National Park Service since 1972, the Buffalo River faces nitrogen, phosphorous, sediment, and fecal coliform contamination. Research assessing tributary water quality began with collecting water samples weekly from November 2019 until January 2023 (n = 156) near Tyler Bend Campgrounds. Pairwise analysis measured minimal water quality change from upstream to downstream on four headwater creeks. Data revealed that Tomahawk Creek’s fecal coliform bacteria were elevated above background levels, frequently exceeding state standards. National Land Cover Dataset class data were extracted to index land use at different scales. Simple linear regression, stepwise multiple linear regression, and a random …

Task Reallocation Method For Unmanned Swarm Under Adversarial Conditions, Lun Zhang, Mei Yang, Tuo Zhao, Shuiku Zhang, Jian Huang

Journal of System Simulation

Abstract: Heterogeneous unmanned swarms have important potential applications in future wars. However, during the high-intensity confrontation in the battlefield, how to efficiently and quickly redistribute the tasks carried by the damaged agents so that the swarms could successfully complete the mission is a difficult problem that must be addressed in the combat application of unmanned swarms. This paper proposes a task reallocation method named improved CNP-HA (contract net protocol-Hungarian algorithm). Through the allocation mechanism and the bidding mechanism, the method realizes the task reallocation of damaged agents with lower communication cost and faster speed comparing with baseline methods. In the …

Moving Target Velocity Measurement Method Based On Multi-View Observation Optimization Of Uav Image, Yuxin Wu, Zhilong Zhang, Aoxu Liu, Jiangwei Zou, Chuwei Li

Journal of System Simulation

Abstract: Measuring the position and velocity of moving targets is an important requirement for drone video analysis. In this paper, a moving target localization and velocity estimation algorithm based on least square optimization of UAV multi-view observation images is proposed: the video and corresponding pose parameters obtained by the airborne optoelectronic system are used to establish a line-of-sight model at multiple observation times, it is unified to the WGS-84 coordinate system by coordinate transformation, the position and velocity of the moving target are estimated based on the least squares algorithm. This algorithm does not require laser ranging information between the …

A Visual Servo Precision Assembly Method For Riveting Parts Based On Adaptive Extended Kalman Filtering, Zonggang Li, Yanbo Li, Jianjun Jiao, Yajiang Du

Journal of System Simulation

Abstract: Aiming at the problems of multiple peg-in-hole riveting parts in industrial production due to the large number of rivets, small gap between rivets and rivet holes, and irregular rivet distribution, resulting in complex assembly process constraints, high assembly accuracy requirements, and difficulty in realizing intelligent riveting process to improve assembly efficiency, a visual servo accurate assembly method of riveting parts based on adaptive extended Kalman filter is proposed. In order to realize the high-precision positioning of riveted parts assembly, on the basis of the traditional extended Kalman filtering, an adaptive noise estimator is introduced to eliminate the influence of …

Research And Realization Of Immersive Skeleton Simulation System, Zining Wang, Shijiang Luo, Weiya Chen, Hanbin Luo

Journal of System Simulation

Abstract: Skeleton, as one of the sliding sports in Winter Olympic Games, has the characteristics of high speed, complexity and danger. In order to reduce the risk of accidents during sliding, a series of immersive skeleton simulation system is constructed utilizing virtual reality. Based on the point cloud data obtained by laser scanning, the existing track is modeled to build a virtual track stadium and skeleton sliding model in Unreal Engine 4. The data collected by motion capture devices is employed to estimate the centroid of the person and enable glide control input. The simulated skeleton posture is captured and …

Global Selection And Local Differentiation Fusion For Vehicle Re-Identification, Shengjun Xu, Mengqian Zhang, Bohan Zhan, Guanghui Liu, Yuebo Meng

Journal of System Simulation

Abstract: To address the interference issues of different perspectives, complex backgrounds, and lighting intensity in vehicle re-identification caused by cross lens multi view differences, a vehicle reidentification network integrating global selection and local differentiation is proposed. Based on Resnet50 backbone network, a three-branch complementary network integrating global and local features is designed. The global branch is used to learn overall appearance information of the vehicle, while the local branch captures differential details of the vehicle. Based on attention mechanism, a context feature selection module (CFSM) is proposed to effectively separate vehicle information from complex background information, and a detail feature …

Vehicle Routing Problem With Drones Considering Zoned Distribution Of Epidemic Prevention Materials, Huawei Ma, Boying Yan

Journal of System Simulation

Abstract: To address the shortcomings of current contactless delivery methods in the collaborative distribution of epidemic prevention supplies, we introduce a specialized model called the vehicle routing problem with drones considering zoned distribution (VRPD-ZD). In order to solve the problem, a linear programming model is established with the shortest delivery time as the optimization objective, and a two-stage heuristic algorithm is proposed. The initial solution is generated by greedy algorithm in the first stage. In the second stage, we develop a Tabu search algorithm with genetic algorithm (TSGA) hybrid. This enhanced algorithm integrates a taboo list and employs advanced chromosome …

Research On Modeling And Simulation Of Collective Mechanical Props Performance Behavior, Lian He, Kexiang Huang, Dapeng Yan, Ruida Tang, Gangyi Ding

Journal of System Simulation

Abstract: In stage performances, the increasing number of mechanical props poses significant challenges to their control and design. Each creative modification requires a complete rehearsal, resulting in low efficiency and sensitivity to creative changes. To address these issues, a model for the collective performance behavior of mechanical props is proposed. It utilizes centroid growth and 3D linear interpolation to generate spatial states and optimizes them in the temporal dimension using gradient descent. Through the construction of 3D simulation experiments, the planning and optimization of collective mechanical prop performance behavior in the model are analyzed. Similarity evaluation is used to compare …

Moud 2.0: A Clinical Algorithm And Implementation Evaluation Protocol For Sublingual And Injectable Buprenorphine Treatment Of Opioid Use Disorder, Brandon Joa, Eric Fung, Michael Weinstein, Lara Weinstein

Department of Family & Community Medicine Faculty Papers

BACKGROUND: Primary care is the initial contact point for most patients with opioid use disorder (OUD) but lacks tools for guiding treatment. Only a small fraction of patients access evidence-based care. Long-acting injectable buprenorphine has potential to improve medication adherence and program retention in low-barrier primary care treatment settings. We present the first clinical decision support algorithm incorporating long-acting buprenorphine (LAIB) in primary care. We include a protocol for a future evaluation of the algorithm's implementation process, "Medication for Opioid Use Disorder (MOUD) 2.0," at a housing and integrated care clinic at a Federally Qualified Health Center.

METHODS: Literature review …

Sistem Hukum Dan Teori Hukum Chaos, Amir Syarifudin, Indah Febriani

Hasanuddin Law Review

Keteraturan alam semesta dan objek lainnya dapat dideskripsikan baik oleh kosmologi maupun fisika. Namun dari keteraturan objek itu terdapat segi atau aspek ketidakteraturan atau fraktal (patah) yang sulit dideskripsikan oleh matematika model Auklides dan Kalkulus. Benoit Medelbrot mencoba menjelaskan objek kacau tersebut dengan teori Fraktal yang pada dasarnya merupakan cabang dari matematika. Teori Fraktal tersebut mempengaruhi pandangan terhadap hukum yang mengilhami Charles Sampford yang kemudian mencetuskan teori hukum chaos. Inti teori hukum chaos ialah (1) hubungan sosial, termasuk hubungan hukum dibentuk berdasarkan hubungan kekuatan (power relation), (2) pihak-pihak yang membuat hubungan itu tidak memiliki memiliki kekuatan yang sama atau seimbang, …

Model Draft Regulation On Cryptocurrency In India, Rahul J. Nikam

Hasanuddin Law Review

This article looks at the application of present Indian payment system policies and regulatory model on virtual-currency in India. In fact, simply banning cryptocurrency in India would not serve the purpose of legislature and Reserve Bank of India (RBI); rather it will boost cryptocurrency frauds in India due to absence of any law. The present article analysis shows that there is an ample scope within the present models and policies with necessary amendments to facilitate the regulation of virtual-currency in India. The analysis also suggests new model regulation on cryptocurrency which shall constitute the basic model regulations in India to …

Novel Multi-Gait Strategy For Stable And Efficient Quadruped Robot Locomotion, Daoxun Zhang, Xieyuanli Chen, Zhengyu Zhong, Ming Xu, Zhiqiang Zheng, Huimin Lu

Journal of System Simulation

Abstract: Inspired by the natural gait transition mechanism of quadruped animals, a multi-gait motion strategy is proposed to realize the stable and efficient motion of quadruped robots on different terrains in response to the trade-off between motion energy efficiency and motion stability. The gait is defined based on the duty cycle parameters and phase bias to form the switching basis. Secondly, the affine transformation of gait parameters and the finite state machine are introduced to establish the switching sequence, which realizes the timely gait switching. The speed-gait mapping is designed based on the cost of transport (CoT) and the stability …

Design Of Robust Behavior Tree Control Architecture For Agents In Dynamic Task Environment, Qiwei Wang, Qi Zhang, Shuo Yang, Yong Peng

Journal of System Simulation

Abstract: In recent years, the environment in which agents perform tasks has become more open and dynamic, which puts forward higher requirements for the robustness of task planning and behavior scheduling of agents. As a classic behavior control architecture, behavior tree has the characteristics of modularity, behavior parameterization, and structure of both plan representation and reaction, which can effectively support the behavior representation, decision making and scheduling of agents. Based on the hybrid behavior strategy , this paper proposes a robust behavior tree control architecture for dynamic task environment to realize the prudent decision-making and reactive control of agents. The …

Decision Modeling And Solution Based On Game Adversarial Complex Systems, Jiachen Jiang, Zhengxuan Jia, Zhao Xu, Tingyu Lin, Pengpeng Zhao, Yiming Ou

Journal of System Simulation

Abstract: In view of the complex situation of the current game which will be large-scale, high-intensity, not omniscient, and strong confrontation, and in response to the lack of flexibility and long iteration cycles in traditional game decision-making, the model of the unmanned complex game system is built according to the background of the unmanned red and blue game. Based on deep reinforcement learning technology, intelligent decision-making algorithms are studied in the background of unmanned red and blue games. With the help of deep neural networks and Bellman's optimal principle, the search of the huge solution space is more efficient, and …

Cooperative Control Method Of Mixed Traffic At Signalized Intersection, Qiushi Huang, Yanyang Wang, Changliang Wu, Junfu Huang, Shenggen Zhang, Haoxuan Luo

Journal of System Simulation

Abstract: A hierarchical decoupling cooperative control method for signal light mixed traffic platoon is designed with the goal of improving the traffic environment at signalized intersections. In the research of upper layer signal control, a calculation model for vehicle delay time at intersections is selected, with the goal of minimizing the average delay time of vehicles. A genetic algorithm based upper layer control strategy for intersection signal lights is proposed and verified; in the research of lower layer mixed platoon control, a "1+N" form is used to establish a dynamic model of the mixed platoon. A vehicle energy consumption model …

Driverless Vehicles Distribution Problem In Communities In Cooperation Of Storage Points, Xiaolong Diao

Journal of System Simulation

Abstract: With the development of smart communities, the distribution of driverless vehicles in communities has become a focus of government, operators and researchers. The joint cooperation of storage points in communities is designed to balance the the distribution of each storage point and avoid the high input cost of driverless vehicles, which means that driverless vehicles can travel between different storage points. The driverless vehicle distribution problem proposed in this paper includes the unloading subproblem and the driverless vehicle scheduling subproblem. For the unloading subproblem, the unloading scheme of vehicles at storage points is optimized with the aim of minimizing …

Rethinking The Relationship Between Capitalism And Environmental Sustainability: Locating Nigeria Within The Globe, Chukwuebuka Emmanuel Madu

Master's Theses

The relationship between capitalism and environmental sustainability and how problems arising from this relationship can be resolved globally and locally is vital for those with economic and environmental concerns. The environment that provides human beings with essential survival needs has to be preserved if these needs are expected to be available for future generations while also being enough for the present generation of human beings. One obstacle to protecting the environment is climate change due to global warming. What is responsible for global warming that ultimately leads to environmental unsustainability? This study pursues this question by rethinking the relationship between …

Critical Legal Reading Of World Anti-Doping Agency’S Gene Doping Guidance, Ahmad Saad Ahmad Al-Dafrawi

Hasanuddin Law Review

The genetic barrier negatively affected competitive athletic performance until the advent of gene therapy and genetic manipulation, which cast doubt on and impacted the legitimacy of sporting events. At that a critical point, the World Anti-Doping Agency (WADA) interfered in such experimentation and application with a serious attempt to curb the problem and set things back on track with the healthiest standards in light of bioethics. However, the major problem that the agency has encountered and which this legal study wants to raise, and address is the legal consequences that result from the lack of a reliable method that provides …

Book Review: Concise Theory Of Road Safety By T.P. Hutchinson, Mutiah Wenda Juniar

Hasanuddin Law Review

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Plastic Waste Management In Indonesia: Current Legal Approaches And Future Perspectives, Maskun Maskun, Hanim Kamaruddin, Farida Pattitingi, Hasbi Assidiq, Siti Nurhaliza Bachril, Nurul Habaib Al Mukarramah

Hasanuddin Law Review

The ever-increasing domestic consumption of plastic products and materials has forced Indonesia to propel forward the means and approaches in dealing with their disposals. Despite the presence of numerous legal instruments serving as basis justifying actions to deal with plastic waste, Indonesia is still nowhere near success in tackling the issue of mismanagement. This article is devoted to normatively analyze various legal approaches used to govern plastic waste management Indonesia, and to unravel issues related to such approaches. It is carried out using normative-legal research methods in which various legal instruments and other secondary legal materials are analyzed descriptively to …

Air And Space Law Education: Preparing For The Future In China, Indonesia, Italy And Thailand, Ridha Aditya Nugraha, Dejian Kong, Gaia Guiso, Lalin Kovudhikulrungsri

Hasanuddin Law Review

Aerospace technology has developed rapidly within the last decade. Facing the future, there is an urgency to balance aerospace technology developments with providing sufficient human resources through education, in this context from the perspective of air and space law. From east to west, this article elaborates on air and space law education in four countries with different experiences in aerospace activities, namely China, Thailand, Indonesia, and Italy. The development of higher education in conducting such programs is essential to ensure that the national aerospace industry will never lack proper human resources from its own nationals, including professionals with specific air …

Multi-Uav Deployment And Collaborative Offloading For Large-Scale Iot Systems, Zhiqin Huang, Tianying Lu, Zheyi Chen

Journal of System Simulation

Abstract: In large-scale internet-of-things (IoT) systems, unmanned aerial vehicles (UAV) enabled mobile edge computing (MEC) can alleviate the performance constraints on end IoT devices. However, due to the uneven distribution of IoT devices and inefficient problem-solving, how to efficiently perform computation offloading in large-scale IoT systems is a major challenge. Existing solutions generally cannot fit into dynamic multi-UAV scenarios, causing inefficient resource utilization and excessive response delay. To address these important challenges, this paper proposes a novel multi-UAV deployment and collaborative offloading (MUCO) method for large-scale IoT systems. A UAV deployment scheme based on constrained K-Means clustering is designed to …

Uav Path Planning In Complex Environments And Its Improved Artificial Rabbits Optimization Algorithm, Anlin Yin, Zhuhong Zhang

Journal of System Simulation

Abstract: The work probes into the model design of reliable and effective UAV path planning in complex obstacle environments and its related optimization algorithm. In the model design, a weight coefficient method and cylindrical coordinate system-based single-objective path planning model is developed to solve the UAV's flight path, in which the distance, angle, height and threat cost are taken as performance indices and obstacles in the ground and spatial regions are regarded as constraints. In the algorithm design, the SPM chaotic mapping is used to improve the initial population distribution of the artificial rabbit optimization algorithm in view of the …

Dynamic Scene Point Cloud Mapping Method Based On Lidar-Imu, Weigang Li, Lei Gan, Yongqiang Wang

Journal of System Simulation

Abstract: In order to address the issue of decreased mapping accuracy and precision caused by dynamic object interference during the construction of point cloud maps in dynamic scenarios such as urban roads, this study proposes a method for building dynamic scene point cloud maps based on LiDAR and inertial measurement unit (IMU). The method incorporates several key steps. An index-based Octree voxel structure is utilized to enhance the incremental update and nearest neighbor search efficiency of the local perception map (LP-Map). The point cloud is processed using ground segmentation, clustering, and dynamic score calculation methods to enable real-time identification of …