• Land and Housing Review
• /
• v.11 no.4
• /
• pp.27-34
• /
• 2020

Making Inclusive Cities is a new urban agenda for better future cities. Inclusive cities should be conceptualized from multidimensional viewpoints including various academic disciplines beyond a single discipline such as urban planning/design and urban engineering which are primary disciplines to have handled urban challenges. The aim of this research is to propose diverse approaches to examine the concept of the inclusive city. This study examines the inclusive city from the lens of co-evolution, social exclusion, inclusiveness, and amenity, looking forward to more academic attempts to investigate this worldwide urban agenda.

• East Asian Journal of Business Economics (EAJBE)
• /
• v.1 no.1
• /
• pp.17-21
• /
• 2013

Purpose: Forecasting of petroleum consumption is useful in planning and management of petroleum production and control of air pollution. Research Design, Data and Methodology: ARMA models, sometimes called Box-Jenkins models after the iterative Box-Jenkins methodology usually used to estimate them, are typically applied to auto correlated time series data. Results: Petroleum consumption modeling plays a role key in big urban air pollution planning and management. In this study three models as, MLFF, MLFF with GARCH (1,1) and ARMA(1,1), have been investigated to model the petroleum consumption forecasts. Certain standard statistical parameters were used to evaluate the performance of the models developed in this study. Based upon the results obtained in this study and the consequent comparative analysis, it has been found that the MLFF with GARCH (1,1) have better forecasting results.. Conclusions: Survey of data reveals that deposit of government policies in recent yeas, petroleum consumption rises in Tehran and unfortunately more petroleum use causes to air pollution and bad environmental problems.

• Journal of Korean Society of Rural Planning
• /
• v.20 no.2
• /
• pp.91-102
• /
• 2014

The purpose of this study is to analyse the over-depopulation characteristics of village unit in rural and fishery region. In addition, improvement in rural living environment for residents wish to raise. The main results are summarized as follows. First, increasing depopulation village, and the poor living environment for the depopulation of villages. Second, depopulation village characterize the type of hardware and software is required. Finally, this four type of policy is needed to fit characteristics. These findings further improve the depopulation village environment, improve satisfaction in that you can plan the basis for an effective strategy can be. Ongoing analysis of forward linkages and establish future policy measures are needed.

• Journal of Industrial Technology
• /
• v.24 no.B
• /
• pp.37-46
• /
• 2004

The purpose of this study are observing changing direction of lobby space that happen by change of medical environment investigating lobby space of General Hospital by our country's medical policy change time and supply pabulum that need in forward Hospital Architecture planning. Results of this study are as follows ; Since Whole National Insurance enforcement from 1993 to 1995, form of general hospital lobby is form that outpatient entrance and inpatient entrance are detached. And lobby function divided to waiting space for medication, requisition space and also that is appearing being detached with rest space for user. ntil 1999 since 1996 that is since Medical Treatment Information System construction, the biggest characteristic of General Hospital lobby form is making Hospital Street itself do improving efficiency of flow planning being included in lobby.

• Proceedings of the Korean Information Science Society Conference
• /
• 2006.10b
• /
• pp.264-268
• /
• 2006

Graphplan 계획기에서 유래된 계획 그래프는 탐색에 매우 유용한 휴우리스틱을 손쉽게 얻을 수 있는 수단이다. 본 논문에서는 전향 상태 공간 계획방식을 정의한 뒤, 이 계획방식에 적용 가능한 계획 그래프 기반의 휴우리스틱 계산법들을 소개한다. 또 본 논문에서는 각 휴우리스틱 계산법이 갖는 특징을 정리하고 이들이 계획생성에 미치는 효과를 실험을 통해 비교, 분석해본다. 또한 이러한 전향 상태 공간 탐색 알고리즘과 휴우리스틱 계산법을 토대로 본 연구에서는 전향 상태 공간 계획기인 JPLAN을 구현하였고 그 구조에 대해 설명한다.

• Journal of Institute of Control, Robotics and Systems
• /
• v.6 no.9
• /
• pp.836-843
• /
• 2000

A sequence planning method is proposed to reduce the assembly time of gantey-type chip mounters with single head. The overall path of the chip mounter is divided into forward and backward path, and formulate the optimization problem is formulated as an transpoetation problem and an Euler's tour problem. The transportation alforithm is applied to find optimal backward path, and Euler's tour algorithm used to generate an assembly sequence. Simulation results are presented to verify the usefulness of the proposed method.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.18 no.7
• /
• pp.1726-1748
• /
• 2024

Trajectory planning is vital for autonomous systems like robotics and UAVs, as it determines optimal, safe paths considering physical limitations, environmental factors, and agent interactions. Recent advancements in trajectory planning and future location prediction stem from rapid progress in machine learning and optimization algorithms. In this paper, we proposed a novel framework for Spatial-temporal transformer-based feed-forward neural networks (STTFFNs). From the traffic flow local area point of view, skip-gram model is trained on trajectory data to generate embeddings that capture the high-level features of different trajectories. These embeddings can then be used as input to a transformer-based trajectory planning model, which can generate trajectories for new objects based on the embeddings of similar trajectories in the training data. In the next step, distant regions, we embedded feedforward network is responsible for generating the distant trajectories by taking as input a set of features that represent the object's current state and historical data. One advantage of using feedforward networks for distant trajectory planning is their ability to capture long-term dependencies in the data. In the final step of forecasting for future locations, the encoder and decoder are crucial parts of the proposed technique. Spatial destinations are encoded utilizing location-based social networks(LBSN) based on visiting semantic locations. The model has been specially trained to forecast future locations using precise longitude and latitude values. Following rigorous testing on two real-world datasets, Porto and Manhattan, it was discovered that the model outperformed a prediction accuracy of 8.7% previous state-of-the-art methods.

• Journal of Korean Society of Rural Planning
• /
• v.19 no.1
• /
• pp.149-164
• /
• 2013

This article purposes to make a GIS database of South Korea rural village forest. So we first tried to collect data of their geographic coordinates or location from the many references on the rural village forest. As the result, we collected locations of the 634 forests. Boundaries of the 462 forests could be made by using their satellite imagery. Finally we implemented GIS database of the 462 traditional rural village forest in South Korea. Furthermore we surveyed 100 forests out of them. They were analyzed in the view of location, area, wood species, cultural assets and activities of inhabitants. These data can be used in the rural village planning and I look forward this database is helpful to preserve existing traditional rural village groves as a lasting legacy.

• Journal of Institute of Control, Robotics and Systems
• /
• v.17 no.10
• /
• pp.1029-1036
• /
• 2011

An energy-efficient reference walking trajectory generation algorithm is suggested utilizing allowable ZMP (Zero-Moment-Point) region, which maxmizes the energy efficiency for cyclic gaits, based on three-dimensional LIPM (Linear Inverted Pendulum Model) for biped robots. As observed in natural human walking, variable ZMP manipulation is suggested, in which ZMP moves within the allowable region to reduce the joint stress (i.e., rapid acceleration and deceleration of body), and hence to reduce the consumed energy. In addition, opimization of footstep planning is conducted to decide the optimal step-length and body height for a given forward mean velocity to minimize a suitable energy performance - amount of energy required to carry a unit weight a unit distance. In this planning, in order to ensure physically realizable walking trajectory, we also considered geometrical constraints, ZMP stability condition, friction constraint, and yawing moment constraint. Simulations are performed with a 12-DOF 3D biped robot model to verify the effectiveness of the proposed method.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.18 no.4
• /
• pp.903-921
• /
• 2024

Industry 5.0 puts forward higher requirements for smart cities, including low-carbon, sustainable, and people-oriented, which pose challenges to the design of smart cities. In response to the above challenges, this study introduces the cyber-physical-social system (CPSS) and parallel system theory into the design of smart cities, and constructs a smart city framework based on parallel system theory. On this basis, in order to enhance the security of smart cities, a sustainable patrol subsystem for smart cities has been established. The intelligent patrol system uses a drone platform, and the trajectory planning of the drone is a key problem that needs to be solved. Therefore, a mathematical model was established that considers various objectives, including minimizing carbon emissions, minimizing noise impact, and maximizing coverage area, while also taking into account the flight performance constraints of drones. In addition, an improved metaheuristic algorithm based on ant colony optimization (ACO) algorithm was designed for trajectory planning of patrol drones. Finally, a digital environmental map was established based on real urban scenes and simulation experiments were conducted. The results show that compared with the other three metaheuristic algorithms, the algorithm designed in this study has the best performance.