Jinghong Wang

Nanjing Tech University

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Zhirong Wang

Nanjing Tech University

Juncheng Jiang

Nanjing Tech University

Yan Wang

Nanjing Tech University

Youran Zhi

Nanjing Institute of Technology

Chih-Cheng Hsieh

National Tsing Hua University

Kea‐Tiong Tang

National Tsing Hua University

Ren-Shuo Liu

National Tsing Hua University

Meng‐Fan Chang

Taiwan Semiconductor Manufacturing Company (Taiwan)

Jiachen Li

Nanjing Tech University

Wei-Chen Wei

Rice University

Cooperative Institutions

Nanjing Tech University

National Tsing Hua University

Chinese Academy of Sciences

Tsinghua University

Nanjing University of Science and Technology

National Yang Ming Chiao Tung University

Beijing Institute of Technology

University of Science and Technology of China

Research Institute of Petroleum Exploration and Development

Nanyang Technological University

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A MULTI-POINT MULTI-OBJECTIVE TRANSPORTATION ROUTE-OPTIMIZATION MODEL OF HAZARDOUS CHEMICALS

WIT transactions on engineering sciences (2018)

Li Jingna Jinghong Wang Youran Zhi Xuhai Pan

The transportation of dangerous goods/hazardous chemicals is a hot issue in the area of industrial safety.This paper investigates route optimization for the transportation of Adipic acid based on the fuzzy compromise approach and the iterative algorithm, proposing a multi-point multi-objective decisionmaking model of road transportation routing with minimum transportation risk, minimum transportation cost and minimum sensitive population.The three objective functions are integrated with weights by path optimization and risk decision model.The optimal compromised solution is obtained using the extended label correcting method.The iterative algorithm is used to remove the road section with maximum risk and get the final optimized route.The final optimized route is obtained by multiple optimizations, which combines the dual advantages of extended label correcting method and the iterative algorithm.Compared with the optimized route obtained by only using one-off optimization, the proposed method can consider the weight of the multi-objective functions to better balance the relationship among different objectives and is better to meet the requirement of the government, the transporters and the general public.An example is used to demonstrate the model.Using the route optimization model proposed in this paper, it is feasible to acquire a good balance between the risks and benefits associated with hazardous chemical transportation.

10.2495/risk180251

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Citations (2)

Optimization of emergency shelter layout with consideration of toxic gas leakage based on a cell transmission model

Safety Science (2025)

Jinghong Wang Yuqing Liu Qingzhao Li Jialin Wu Yan Wang

Leakage (economics)

Toxic gas

10.1016/j.ssci.2025.106810

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Citations (0)

A new method for assessing the thermal hazard of reactive substances

AIP conference proceedings (2017)

Li Yang Yong Pan Jinghong Wang Wenjuan Shang Jinxing Lan

The thermal hazard including spontaneous combustion, thermal decomposition and thermal explosion, is one of the most important characteristics of reactive chemicals. Thus, the evaluation of thermal hazard associated to the involved reactive substances is rather necessary. In this study, both heat of reaction (-ΔH) and onset temperature (To) were chosen as the indicators to determine the severity and probability of the thermal decomposition hazard, respectively. These two indicators were non-dimensionally processed by semi-normal distribution functions. Then a new index THI (Thermal Hazard index) is proposed and the corresponding thermal hazard ranking standard is established with the thermal hazard being divided into five levels. The study showed that the ranking results of THI are consistent with that of Reaction Hazard Index (RHI). Besides, THI is considered to be more accurate to assess the thermal hazard of reactive substances. The new evaluation index proposed in this work is considered to have potential applications in assessing the thermal hazard of reactive substances in chemicals process.

10.1063/1.5005219

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Citations (4)

Flame Spread Characteristics of Inclined Extruded Polystyrene Thermal Insulation Material

Procedia Engineering (2018)

Hao Sun Yong Pan Jinghong Wang Junhui Gong A-ping Ding

A set of small-scale flame spread experiments was conducted to explore the effects of sample orientation on the flame spread characteristics of extruded polystyrene (XPS) insulation material. The obtained data were employed to show the variation law of flame angle, pool fire zone length and flame spread rate when the tilt angle of XPS material changes from -90° to 90°. The flame angle decreased when the inclined angle increased from -90° to 90° and there are two different variation trends of flame angle in different inclined angle ranges. Meanwhile, both pool fire length and flame spread rate of the inclined XPS material depend on gravity controlled flow of flammable and molten drops produced by heating XPS material. Furthermore, the fitting relationship between flame spread rate and tilt angle was put forward when the tilt angle was less than or equal to 0°. This work is a supplement to the fire risk study on the XPS insulation materials and system.

Flame spread

Polystyrene

Flammable liquid

10.1016/j.proeng.2017.12.060

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Citations (14)

A Local Computing Cell and 6T SRAM-Based Computing-in-Memory Macro With 8-b MAC Operation for Edge AI Chips

IEEE Journal of Solid-State Circuits (2021)

Xin Si Yung-Ning Tu Wei-Hsing Huang Jian-Wei Su Pei-Jung Lu

This article presents a computing-in-memory (CIM) structure aimed at improving the energy efficiency of edge devices running multi-bit multiply-and-accumulate (MAC) operations. The proposed scheme includes a 6T SRAM-based CIM (SRAM-CIM) macro capable of: 1) weight-bitwise MAC (WbwMAC) operations to expand the sensing margin and improve the readout accuracy for high-precision MAC operations; 2) a compact 6T local computing cell to perform multiplication with suppressed sensitivity to process variation; 3) an algorithm-adaptive low MAC-aware readout scheme to improve energy efficiency; 4) a bitline header selection scheme to enlarge signal margin; and 5) a small-offset margin-enhanced sense amplifier for robust read operations against process variation. A fabricated 28-nm 64-kb SRAM-CIM macro achieved access times of 4.1-8.4 ns with energy efficiency of 11.5-68.4 TOPS/W, while performing MAC operations with 4- or 8-b input and weight precision.

Header

Bitwise operation

Macro

Sense amplifier

Process Variation

10.1109/jssc.2021.3073254

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Citations (78)

15.4 A 22nm 2Mb ReRAM Compute-in-Memory Macro with 121-28TOPS/W for Multibit MAC Computing for Tiny AI Edge Devices

2022 IEEE International Solid- State Circuits Conference (ISSCC) (2020)

Cheng-Xin Xue Tsung-Yuan Huang Je-Syu Liu Ting-Wei Chang Hui-Yao Kao

Nonvolatile computing-in-memory (nvCIM) can improve the latency (t _AC ) and energy-efficiency (EF _MAC ) of tiny AI edge devices performing multiply-and-accumulate (MAC) computing after system wake-up. Prior nvCIMs have proven effective for binary input (IN) and weight (W), and 3b output (OUT) [1], 1-8-1b IN-W-OUT [2], and 2-3-4b IN-W-OUT [3] neural networks; however, the higher precision (4-4b IN-W) for MAC operations is needed for multi-bit CNNs to achieved high-inference accuracy [4]. As Fig.15.4.1 shows, improving the precision of nvCIM macros involves various challenges. (1) A large number of activated WLs provides a wide range of BL current (I _BL ) resulting in an inaccurate BL-clamping voltage (V _BLC ); as well as a large (I _BL ) requiring a large array area due to the need for wide metal lines to support high-current density. (2) Previous "WL = input" approaches suffer from: (a) few parallel inputs (IN#) due to (1), and (b) long (t _AC ) in multiple cycles of binary WL inputs on 1T1R cells for multibit inputs. (3) Previous positive-negative-split weight-mapping consumes high total (l _BL ) and area overhead (needing 2x(m-1) cells for a signed m-bit weight) for cell arrays with high-weight precision. (4) Long (t _AC ) and a large number of reference currents (IREF#) for high-precision outputs. To overcome these challenges, this work proposes: (1) a BL-IN-OUT multibit computing (BLIOMC) scheme using a single WL-on and input-aware multibit BL clamping (IA-MBC) to shorten (l _BL ) for multibit inputs, increase IN#, and reduce the (l _BL ) range/size for accurate (V _BLC ) and a compact array area. (2) Scrambled 2's complement (S2C) weight mapping (S2CWM), input-aware source-line (SL) voltage biasing (IA-SLVB), and an S2C value combiner (S2CVC) to reduce area overhead and l _BL in the cell array. (3) A dual-bit small-offset current-mode sense amplifier (DbSO-CSA) to reduce IREF# and t _AC . A fabricated 22nm 2Mb ReRAM-CIM macro presents the first 4b-input nvCIM macro, featuring a 9.8-18.3ns t _AC and an EF _MAC of 121.3-28.9TOPS/W from binary to 4bIN-4bW-11bOUT compute precisions.

Macro

10.1109/isscc19947.2020.9063078

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Citations (180)

Investigation and simulation of non-adaptive psychology of crowd evacuation under toxic gas leakage accident in chemical park

Journal of Loss Prevention in the Process Industries (2023)

Ran Ye Shuangyan Xu Juan Liu Jinghong Wang Yan Wang

Leakage (economics)

Toxic gas

10.1016/j.jlp.2023.105160

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Citations (4)

Risk of Large‐Scale Evacuation Based on the Effectiveness of Rescue Strategies Under Different Crowd Densities

Risk Analysis (2012)

Jinghong Wang Siuming Lo Qingsong Wang Jinhua Sun Honglin Mu

Crowd density is a key factor that influences the moving characteristics of a large group of people during a large-scale evacuation. In this article, the macro features of crowd flow and subsequent rescue strategies were considered, and a series of characteristic crowd densities that affect large-scale people movement, as well as the maximum bearing density when the crowd is extremely congested, were analyzed. On the basis of characteristic crowd densities, the queuing theory was applied to simulate crowd movement. Accordingly, the moving characteristics of the crowd and the effects of typical crowd density-which is viewed as the representation of the crowd's arrival intensity in front of the evacuation passageways-on rescue strategies was studied. Furthermore, a "risk axle of crowd density" is proposed to determine the efficiency of rescue strategies in a large-scale evacuation, i.e., whether the rescue strategies are able to effectively maintain or improve evacuation efficiency. Finally, through some rational hypotheses for the value of evacuation risk, a three-dimensional distribution of the evacuation risk is established to illustrate the risk axle of crowd density. This work aims to make some macro, but original, analysis on the risk of large-scale crowd evacuation from the perspective of the efficiency of rescue strategies.

10.1111/j.1539-6924.2012.01923.x

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Citations (27)

Evaporation Rate Profiles from a Liquid in a Cylindrical Hole

JOURNAL OF CHEMICAL ENGINEERING OF JAPAN (2018)

Jinghong Wang Jun Fukai

Profiles of local evaporation rate from a liquid surface formed in a cylindrical hole are numerically estimated using the finite element method. The droplet is so small that the evaporation can be considered as a steady-state process and the vapor concentration distribution above the droplet satisfies the diffusion equation. Generally, the local evaporation rate of a droplet is small at the center, but becomes stronger near the contact line on the flat substrate. In a cylindrical hole, the local evaporation rate near the contact line is prevented by the vertical sidewall especially for a high sidewall. The effect of bank height and the contact angle on the local evaporation rates and total evaporation rate are also discussed.

10.1252/jcej.17we221

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Citations (1)

Effects of the environmental temperature and heat dissipation condition on the thermal runaway of lithium ion batteries during the charge-discharge process

Journal of Loss Prevention in the Process Industries (2017)

Luyao Guo Zhirong Wang Jinghong Wang Q.K. Luo Jiatang Liu

Thermal Runaway

Heat Generation

10.1016/j.jlp.2017.05.029

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Citations (61)