ANALYSIS OF THE ATTACKER AND DEFENDER GAN MODELS FOR THE INDOOR NAVIGATION NETWORK

Evacuation research relies heavily on the efficiency analysis of the study navigation networks, and this principle also applies to indoor scenarios. One crucial type of these scenarios is the attacker and defender topic, which discusses the paralyzing and recovering operations for a specific indoor navigation network. Our approach is to apply the Generative-Adversarial-Neural network (GAN) model to optimize both reduction and increase operations for a specific indoor navigation network. In other words, the proposed model utilizes GAN both in the attacking behavior efficiency analysis and the recovering behavior efficiency analysis. To this purpose, we design a black box of training the generative model and adversarial model to construct the hidden neural networks to mimic the human selection of choosing the critical nodes in the studying navigation networks. The experiment shows that the proposed model could alleviate the selection of nodes that significantly influence network transportation efficiency. Therefore, we could apply this model to disaster responding scenarios like fire evacuation and communication network recovery operations.

Analysis of the financial planning system in the company (on the example of JSC “NC “Kazakhstan Temir Zholy”)

The purpose of the article is to review the main financial indicators of JSC “NC “KTZ”. The analysis of dynamics and structure of active and passive balance of the company is studied. The official documents that regulate the activities of the national company are studied. On the basis of statistical data and reports of the company, using the method of financial planning, the study of the main indicators of JSC “NC “KTZ”. The analysis of planned and actual values of indicators noted that the company needs to improve the system of financial planning and budgeting. Finally the conclusions are made and the main problems of sustainable development of the company are stated. JSC “NC “KTZh” is a transport and logistics holding, the history of formation and development of which began in Soviet times. Because of repeated transformations and reorganizations, the holding currently carries out sea and rail transportation, renders services of transport and logistics centers; provides airport, maritime, road and rail infrastructure services. The functions of JSC “NC “KTZh” include acting as an operator of the main railway network, transportation of goods and passengers. The authors of the article note that the unstable dynamics of indicators for the main types of services directly affects the profitability of the company. As before, the main revenue is generated by cargo transportation, primarily transit transportation.

Designing a Transportation-Strategy Decision-Making Process for a Supply Chain: Case of a Pharmaceutical Supply Chain

Including an active participation of stakeholders along the transportation decision-making process is increasingly recognized as a necessary condition for reaching successful and high-quality decisions. This paper presents a framework for deciding on the appropriate transportation strategy for a supply chain from a multistakeholder perspective. It consists of three steps: (1) defining the transportation-strategy decision-making context and the objectives that must be achieved; (2) analyzing the actual transportation strategy regarding its three components: transportation network; transportation mode; and transportation insource/outsource, as well as identifying the stakeholders interested in the study; and (3) conducting a group decision making regarding each transportation strategy’s component, while involving the key stakeholders and taking into account the specificities of transported products. The proposed framework is then applied to a real case of the Moroccan public pharmaceutical supply chain, which has different features that distinguish it from other supply chains including its importance, urgency, and regulation. We employed the DELPHI method to determine the key stakeholders that should be involved in the decisional process. After that, we applied the group AHP method for selecting the appropriate transport-network design option while involving the identified key stakeholders.

Active flow network generates molecular transport by packets: case of the endoplasmic reticulum

Biological networks are characterized by their connectivity and topology but also by their ability to transport materials. In the case of random transportation, the efficacy is measured by the time it takes to travel between two nodes of the network. We study here the consequences of a unidirectional transport mechanism occurring in the endoplasmic reticulum (ER) network, a structure present in the cell cytoplasm. This unidirectional transport mechanism is an active-waiting transportation, where molecules have to wait a random time before being transported from one node to the next one. We develop here a general theory of transport in an active network and find an unusual network transportation, where molecules group together in redundant packets instead of being disperse. Finally, the mean time to travel between two nodes of the ER is of the order of 20 min, but is reduced to 30 s when we consider the fastest particles because it uses optimal paths. To conclude, the present theory shows that unidirectional transport is an efficient and robust mechanism for fast molecular redistribution inside the ER.

Time Reliability of the Maritime Transportation Network for China’s Crude Oil Imports

To evaluate the transportation time reliability of the maritime transportation network for China’s crude oil imports under node capacity variations resulting from extreme events, a framework incorporating bi-level programming and a Monte Carlo simulation is proposed in this paper. Under this framework, the imported crude oil volume from each source country is considered to be a decision variable, and may change in correspondence to node capacity variations. The evaluation results illustrate that when strait or canal nodes were subject to capacity variations, the network transportation time reliability was relatively low. Conversely, the transportation time reliability was relatively high when port nodes were under capacity variations. In addition, the Taiwan Strait, the Strait of Hormuz, and the Strait of Malacca were identified as vulnerable nodes according to the transportation time reliability results. These results can assist government decision-makers and tanker company strategic planners to better plan crude oil import and transportation strategies.

model perencanaan jaringan tranportasi dengan adanya transfer

Transportation route planning problems determine from a transport mode can be simplified by using network model, which can be represented by graph theory. This important component of the transportation network planning is finding the shortest path. In this thesis will learn how to find the model of a transportation network planning using the shortest path with best path algorithm. This algorithm trying to find the itinerary that requires the least number of transfers. It can be a model of path network transportation with transfer. The used model was the model with matrix.Keyword: Public transportation, Shortest path, Best path algorithm.

Chinese megablock urbanism

In what way can the study of megablock typologies in the PRD deliver better insight in terms of process and scales of Chinese urbanization? In the Chinese context, the ‘collective’ has stood central to its urbanisms and processes of urbanization (Lu, 2006). As a state where ownership and territoriality are retained by a socialist system, the basic elements of this (urban) model have remained the creation of collective housing founded on publicly owned land. From the ‘neighbourhood-unit' (邻里单位) and ‘working-unit’ (单位大院), to ‘commodity housing’ (商品房) (Lu, 2006), these practices gradually shape Chinese cities in “Socialism with Chinese characteristics” into what can only be termed ‘megablock’ urban fabrics. Where, ‘Mega’ infrastructure in cities, or better yet, megablocks, embody the antithesis of open and transparent entities. Beyond its organization with the physical network (transportation or public service), they impact the urbanization process in terms of speed and scale. The Chinese urban population has risen from 18% in 1978 to 58.5% in 2017 (National Bureau of Statistics of China, 2018). Between 1991 and 2000, 83% of Shanghai’s residential compounds became enclaves, with the Guangdong Province alone witnessing the formation of 54,000 closed-off compounds, covering more than 70% of the city surface and housing more than 80% of its population (Miao, 2004). Broadly speaking, former and ongoing studies of Chinese urbanization are yet to provide a clear perspective of megablock development, both in terms of the unprecedented context and its spatial impact. This paper aims to address concerns pertaining to the megablock phenomenon: its impacts on urban morphology as well as its prevalent strategies as an urban model. The argument presented here hopes to touch upon the links between planning and the eventual morphological expression of megablock development, and possibly argue for the cultivation of an urbanization practice that needs to become systematic in its sustainable focus and outcomes

A FUZZY BINARY BI OBJECTIVE TRANSPORTATION MODEL: IRANIAN STEEL SUPPLY NETWORK

Prominent influence of transportation costs on supply chain overall profit indicates the importance and emer-gence of transportation optimization models. Regarding this issue and in view of realistic situation consisting of non-de-terministic information, in this research optimizing inbound and outbound transportation costs of a multi echelon supply chain has been considered. To deal with uncertain time deliveries and pricing strategies adopted by different members of supply chain, in conjunction with unpredictable demand rate, fuzzy logic and specifically Trapezoidal Fuzzy Numbers (TrFNs) are included. After designing a fuzzy binary multi objective model based upon structural assumptions, the solving approach is proposed and the model is employed on Iranian steel supply network to illustrate the potential and advantages of our scheduled model. The bi-objective mixed integer fuzzy programming model presents and encompasses many realis-tic circumstances making the model applicable in network transportation cases.

Travel demand for metro in Ho Chi Minh City: A discrete choice experiment analysis

By employing discrete choice experiment with face-to-face survey data of 135 local inhabitants in Ho Chi Minh City, this paper analyzes preference for the urban metro network transportation. The result reveals that seat availability, time, and cost reduction of the trip with metro robustly incite users to utilize this transportation service. Passengers of metro are willing to pay 0.606 and 4.106 thousand VND for one minute reduction of travel time and seat availability on the train cart, respectively. Furthermore, monetary welfare gained for a switch to metro is 64.3 thousand VND for each individual. Some implications regarding ticket prices and policy are also discussed.