Resource Type

Journal Article 71

Year

2024 1

2023 9

2022 8

2021 10

2020 5

2019 5

2018 8

2017 10

2016 3

2015 3

2014 1

2012 2

2008 3

2001 1

2000 1

1999 1

open ︾

Keywords

2035 3

demand 3

China Railway’s “Go Global” strategy 2

energy demand 2

engineering science and technology 2

food security 2

forecast 2

2D–3D registration 1

Abnormal region identification 1

Absorptivity 1

Access control 1

Active learning 1

Advanced air mobility 1

Analytical hierarchy process 1

Antarctic and polar fishery 1

Antarctic krill 1

Architecturally significant requirement (ASR) 1

Architecture trade-off analysis method (ATAM) 1

Asynchronous impulsive 1

open ︾

Search scope:

排序： Display mode:

Analyzing close relations between target artifacts for improving IR-based requirement traceability recovery Research Articles

Haijuan Wang, Guohua Shen, Zhiqiu Huang, Yaoshen Yu, Kai Chen,18895681787@163.com,ghshen@nuaa.edu.cn,zqhuang@nuaa.edu.cn,yaoshen.yu@outlook.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 7,   Pages 957-968 doi: 10.1631/FITEE.2000126

Abstract: is an important and costly task that creates trace links from requirements to different software artifacts. These trace links can help engineers reduce the time and complexity of software maintenance. The (IR) technique has been widely used in . It uses the textual similarity between software artifacts to create links. However, if two artifacts do not share or share only a small number of words, the performance of the IR can be very poor. Some methods have been developed to enhance the IR by considering relations between , but they have been limited to code rather than to other types of . To overcome this limitation, we propose an automatic method that combines the IR method with the between . Specifically, we leverage between rather than just text matching from requirements to . Moreover, the method is not limited to the type of when considering the relations between . We conduct experiments on five public datasets and take account of trace links between requirements and different types of software artifacts. Results show that under the same recall, the precisions on the five datasets improve by 40%, 8%, 20%, 4%, and 6%, respectively, compared with the baseline method. The precision on the five datasets improves by an average of 15.6%, showing that our method outperforms the baseline method when working under the same conditions.

Keywords： 需求追踪；信息检索；紧密关系；目标制品    

HTML PDF Collect

流追踪：一种软件定义网络中低开销的时延测量和路径追踪方法 Article

硕 汪,娇 张,韬 黄,江 刘,韵洁 刘,F. Richard YU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 2,   Pages 206-219 doi: 10.1631/FITEE.1601280

Abstract: 然而，当负载均衡机制把探测包和所需追踪流的数据包均衡到不同路径时，这些工具将无法探测出流的真实转发路径，更无法测量出真实的路径时延。基于此发现，我们提出了一套新的软件定义网络中的流追踪机制“FlowTrace”，利用它来追踪任意流量的转发路径以及测量数据流所经历的链路时延。该工具通过收集交换机的流表来计算流的转发路径。

Keywords： 软件定义网络；网络检测；路径追踪    

HTML PDF Collect

Real-time Gaze Tracking System Based on Dual Illuminators

Huang Ying,Wang Zhiliang,Qi Ying

Strategic Study of CAE 2008, Volume 10, Issue 2,   Pages 86-90

Abstract:

This paper presents a fast, low cost and non-contact gaze tracking system. The system is based on dual illuminators and a CCD camera. The camera captured the i mage of two eyes, and the synthesized information of both eyes was used to detec t the gaze direction. A fast pupil detection algorithm was proposed to speed up the image processing, and a simple model was used to recognize the gaze direction. Experimental results show that the system is applicable from -20° t o +20° angle of gaze in horizon and -16° to +16° angle of gaze in vertical. A human- computer interaction application proves that the system can estimate the user's gaze direction with tiny delay and relative high stability.

Keywords： human-computer interaction     gaze tracking     Purkinje image    

HTML PDF Collect

Improving the reconstruction efficiency of sparsity adaptive matching pursuit based on the Wilkinsonmatrix None

Rasha SHOITAN, Zaki NOSSAIR, I. I. IBRAHIM, Ahmed TOBAL

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 503-512 doi: 10.1631/FITEE.1601588

Abstract: Sparsity adaptive matching pursuit (SAMP) is a greedy reconstruction algorithm for compressive sensing signals. SAMP reconstructs signals without prior information of sparsity and presents better reconstruction performance for noisy signals compared to other greedy algorithms. However, SAMP still suffers from relatively poor reconstruction quality especially at high compression ratios. In the proposed research, the Wilkinson matrix is used as a sensing matrix to improve the reconstruction quality and to increase the compression ratio of the SAMP technique. Furthermore, the idea of block compressive sensing (BCS) is combined with the SAMP technique to improve the performance of the SAMP technique. Numerous simulations have been conducted to evaluate the proposed BCS-SAMP technique and to compare its results with those of several compressed sensing techniques. Simulation results show that the proposed BCS-SAMP technique improves the reconstruction quality by up to six decibels (dB) relative to the conventional SAMP technique. In addition, the reconstruction quality of the proposed BCS-SAMP is highly comparable to that of iterative techniques. Moreover, the computation time of the proposed BCS-SAMP is less than that of the iterative techniques, especially at lower measurement fractions.

Keywords： Block compressive sensing     Sparsity adaptive matching pursuit     Greedy algorithm     Wilkinson matrix    

HTML PDF Collect

RePizer: a framework for prioritization of software requirements Article

Saif Ur Rehman KHAN,Sai Peck LEE,Mohammad DABBAGH1,Muhammad TAHIR,Muzafar KHAN,Muhammad ARIF

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8,   Pages 750-765 doi: 10.1631/FITEE.1500162

Abstract: The standard software development life cycle heavily depends on requirements elicited from stakeholders. Based on those requirements, software development is planned and managed from its inception phase to closure. Due to time and resource constraints, it is imperative to identify the high-priority requirements that need to be considered first during the software development process. Moreover, existing prioritization frameworks lack a store of historical data useful for selecting the most suitable prioritization technique of any similar project domain. In this paper, we propose a framework for prioritization of software requirements, called RePizer, to be used in conjunction with a selected prioritization technique to rank software requirements based on defined criteria such as implementation cost. RePizer assists requirements engineers in a decision-making process by retrieving historical data from a requirements repository. RePizer also provides a panoramic view of the entire project to ensure the judicious use of software development resources. We compared the performance of RePizer in terms of expected accuracy and ease of use while separately adopting two different prioritization techniques, planning game (PG) and analytical hierarchy process (AHP). The results showed that RePizer performed better when used in conjunction with the PG technique.

Keywords： Software requirements     Requirements prioritization techniques     Prioritization framework     Planning game     Analytical hierarchy process    

HTML PDF Collect

COVID-19 Fight Enlists Digital Technology: Tracking an Elusive Foe

Mitch Leslie

Engineering 2020, Volume 6, Issue 10,   Pages 1061-1063 doi: 10.1016/j.eng.2020.08.006

HTML PDF Collect

Generalized method of urban air pollutant source tracking and integration approach of nudging source assimilation

Xu Xiangde,Ding Guoan

Strategic Study of CAE 2012, Volume 14, Issue 10,   Pages 10-22

Abstract:

An ensemble platform on generalized source tracking of urban air pollutants and an emission source assimilation with application of satellite remote sensing has been proposed. The ensemble platform of generalized urban air pollutant source tracking is built on principal factor analysis of aerosol emissions, aerosol variation spectrum analysis, feature analysis on aerosol changes with phase within urban canopy layer, wind vectors correlating with remote pollutant transport, back forward trajectories and boundary layers affecting the foot mark methods. Also, in order to reduce the emission source uncertainties, which is a key difficulty in air quality modeling, the Newton approximation nudging technology has been applied in the air pollutant modeling based on the seasonal or monthly SO2 and NO2 emissions, and the remote sensing data of air pollutants have been applied on the data assimilation in air pollutant modeling. The integration approach with remote sensing and ground based observations could be used in the research on urban air pollutant tracking, urban haze and heat island. The comprehensive analysis of land water air cycles is attempted as an exploratory study on water pollutant source tracking.

Keywords： generalized method     nudging source     pollutant source tracking     satellite remote sensing surface     land water air    

HTML PDF Collect

COVID-19 Fight Enlists Digital Technology: Contact Tracing Apps

Mitch Leslie

Engineering 2020, Volume 6, Issue 10,   Pages 1064-1066 doi: 10.1016/j.eng.2020.09.001

HTML PDF Collect

Forecast Study on Medium and Long Term Energy Demand in Rural Area of China

Deng Keyun,He Liang

Strategic Study of CAE 2000, Volume 2, Issue 7,   Pages 16-21

Abstract:

Rural energy forecast belongs to the category of regional energy forecast. To forecast the demand of energy consumption in rural area of China will be useful for drawing out the rural energy strategy with rural sustainable development. Based on analysis and calculation this paper brings forward the conventional scheme and the strengthening renewable energy utilization scheme.The energy consumption in rural region is mainly divided into two components, i.e. used for economic development and for farmer households living. Following the progress in implementation of the state key project “Small Rural City - township Construction” most of rural population will be urbanized locally. It is expected by the year of 2020 and 2050, there will be about 670 and 480 millions of pepole living in rural area, and in the case of the “strengthening” scheme, the total commodity energy demand is about 1290 and 1632 Mt coal equivalent ,respectively.If the energy consumption in village and town enterprises is not included in two schemes, the total energy demand in rural area will be 970 〜1080 Mt coal equivalent in 2050. The coal consumption will account for 31.7% of the total.

Keywords： rural energy     demand     forecast    

HTML PDF Collect

Research on Product Optimization Design Method to Respond Rapidly to Customer Requirements

Li Rupeng,Wei Wei,Zhou Feng,Zou Cheng

Strategic Study of CAE 2018, Volume 20, Issue 2,   Pages 33-41 doi: 10.15302/J-SSCAE-2018.02.006

Abstract:

In the current highly competitive market environment, a critical success factor for enterprises is the ability to rapidly respond to customer requirements (CRs). This paper proposes a novel method for rapid response to CRs in product optimization design via fuzzy clustering and conjoint analysis-quality function deployment (CA-QFD).The proposed approach has two key characteristics. The first is classifying original complex CR data as a standard CR dataset by fuzzy clustering method. The second is the new CA-QFD transformation method integrating conjoint analysis and traditional QFD, which can accurately transform CRs into product design attributes. Finally, an example for product optimization design by forging a machine's main hydraulic cylinder is carried out to demonstrate the validity of the proposed method.

Keywords： rapid response to customer requirements     fuzzy clustering     requirements transformation     CA-QFD method     product optimization design    

HTML PDF Collect

Automatic traceability link recovery via active learning Research Articles

Tian-bao Du, Guo-hua Shen, Zhi-qiu Huang, Yao-shen Yu, De-xiang Wu,tbdu_312@outlook.com,ghshen@nuaa.edu.cn,zqhuang@nuaa.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8,   Pages 1217-1225 doi: 10.1631/FITEE.1900222

Abstract: (TLR) is an important and costly software task that requires humans establish relationships between source and target artifact sets within the same project. Previous research has proposed to establish traceability links by machine learning approaches. However, current machine learning approaches cannot be well applied to projects without traceability information (links), because training an effective predictive model requires humans label too many traceability links. To save , we propose a new TLR approach based on (AL), which is called the AL-based approach. We evaluate the AL-based approach on seven commonly used traceability datasets and compare it with an information retrieval based approach and a state-of-the-art machine learning approach. The results indicate that the AL-based approach outperforms the other two approaches in terms of F-score.

Keywords： Automatic     Traceability link recovery     Manpower     Active learning    

HTML PDF Collect

Transactive Demand Response Operation at the Grid Edge using the IEEE 2030.5 Standard Article

Javad Fattahi, Mikhak Samadi, Melike Erol-Kantarci, Henry Schriemer

Engineering 2020, Volume 6, Issue 7,   Pages 801-811 doi: 10.1016/j.eng.2020.06.005

Abstract:

This paper presents a transactive demand response (TDR) scheme for a network of residential customers with generation assets that emphasizes interoperability within a transactive energy architecture. A complete laboratory-based implementation provides the first (to our knowledge) realization of a comprehensive TDR use case that is fully compliant with the Institute of Electrical and Electronics Engineers (IEEE) 2030.5 standard, which addresses interoperability within a cybersecure smart energy profile (SEP) context. Verification is provided by a full system integration with commercial hardware using IP-based (local area network (LAN) and Wi-Fi) communication protocols and transport layer security (TLS) 1.2 cryptographic protocol, and validation is provided by emulation using extensive residential smart meter data. The demand response (DR) scheme is designed to accommodate privacy concerns, allows customers to select their DR compliance level, and provides incentives to maximize their participation. The proposed TDR scheme addresses privacy through the implementation of the SEP 2.0 messaging protocol between a transactive agent (TA) and home energy management system (HEMS) agents. Customer response is handled by a multi-input multi-output (MIMO) fuzzy controller that manages negotiation between the customer agent and the TA. We take a multi-agent system approach to neighborhood coordination, with the TA servicing multiple residences on a common transformer, and use a reward mechanism to maximize customer engagement during the event-based optimization. Based on a set of smart meter data acquired over an extended time period, we engage in multiple TDR scenarios, and demonstrate with a fully-functional IEEE 2030.5-compliant implementation that our scheme can reduce network peak power consumption by 22% under realistic conditions.

Keywords： Transactive demand response     IEEE 2030.5     Smart grid     Multi-agent system     Neighborhood coordination    

HTML PDF Collect

A Demand Analysis of China’s Engineering Science and Technology for Economic and Social Development to 2035

Luan Enjie,Yuan Jianhua and Man Xuan,Zhang Zhang

Strategic Study of CAE 2017, Volume 19, Issue 1,   Pages 21-26 doi: 10.15302/J-SSCAE-2017.01.004

Abstract:

The object of this analysis is to closely link China's economic and social development with its engineering science and technology demands. This article introduces the background and methods of demand analysis in China and abroad. The analysis uses interviews and surveys from core experts in the field of economic and social development, along with other methods, to depict six visions of China's economic and social development to 2035, and to point out the demand for engineering science and technology.

Keywords： 2035     visions     demand     economic and social development     engineering science and technology    

HTML PDF Collect

Will Massive Appetite for Minerals Stall Clean Energy Transition?

Mitch Leslie

Engineering 2023, Volume 31, Issue 12,   Pages 8-10 doi: 10.1016/j.eng.2023.11.001

HTML PDF Collect

Prediction of Food Consumption and Grain Demand in Chinese Mainland

Liangjie Xin

Strategic Study of CAE 2018, Volume 20, Issue 5,   Pages 135-141 doi: 10.15302/J-SSCAE-2018.05.020

Abstract:

Now consumption of main food in Taiwan of China has been stable. It is most likely that Chinese Mainland will follow the progressive path of food consumption in Taiwan of China. The total dietary consumption of Chinese Mainland residents will reach the summit around 2026, so will the consumption of food with high added values, such as fruit, meat, egg, aquatic products, dairy products, and oil. Total dietary consumption will be 563 kg per capita, and grain consumption will be 456 kg per capita. The structure of dietary consumption will reach a table state by 2035, and total dietary consumption and grain consumption will be 499 kg per capita and 412 kg per capita, respectively. Dietary consumption of Chinese Mainland residents has great potentials for promotion, which will exert long and continuous pressure on China’s limited land and water resources.

Keywords： 中国台湾     中国大陆     膳食消费     粮食需求量    

HTML PDF Collect

Title Author Date Type Operation

Analyzing close relations between target artifacts for improving IR-based requirement traceability recovery

Haijuan Wang, Guohua Shen, Zhiqiu Huang, Yaoshen Yu, Kai Chen,18895681787@163.com,ghshen@nuaa.edu.cn,zqhuang@nuaa.edu.cn,yaoshen.yu@outlook.com

Journal Article

流追踪：一种软件定义网络中低开销的时延测量和路径追踪方法

硕 汪,娇 张,韬 黄,江 刘,韵洁 刘,F. Richard YU

Journal Article

Real-time Gaze Tracking System Based on Dual Illuminators

Huang Ying,Wang Zhiliang,Qi Ying

Journal Article

Improving the reconstruction efficiency of sparsity adaptive matching pursuit based on the Wilkinsonmatrix

Rasha SHOITAN, Zaki NOSSAIR, I. I. IBRAHIM, Ahmed TOBAL

Journal Article

RePizer: a framework for prioritization of software requirements

Saif Ur Rehman KHAN,Sai Peck LEE,Mohammad DABBAGH1,Muhammad TAHIR,Muzafar KHAN,Muhammad ARIF

Journal Article

COVID-19 Fight Enlists Digital Technology: Tracking an Elusive Foe

Mitch Leslie

Journal Article

Generalized method of urban air pollutant source tracking and integration approach of nudging source assimilation

Xu Xiangde,Ding Guoan

Journal Article

COVID-19 Fight Enlists Digital Technology: Contact Tracing Apps

Mitch Leslie

Journal Article

Forecast Study on Medium and Long Term Energy Demand in Rural Area of China

Deng Keyun,He Liang

Journal Article

Research on Product Optimization Design Method to Respond Rapidly to Customer Requirements

Li Rupeng,Wei Wei,Zhou Feng,Zou Cheng

Journal Article

Automatic traceability link recovery via active learning

Tian-bao Du, Guo-hua Shen, Zhi-qiu Huang, Yao-shen Yu, De-xiang Wu,tbdu_312@outlook.com,ghshen@nuaa.edu.cn,zqhuang@nuaa.edu.cn

Journal Article

Transactive Demand Response Operation at the Grid Edge using the IEEE 2030.5 Standard

Javad Fattahi, Mikhak Samadi, Melike Erol-Kantarci, Henry Schriemer

Journal Article

A Demand Analysis of China’s Engineering Science and Technology for Economic and Social Development to 2035

Luan Enjie,Yuan Jianhua and Man Xuan,Zhang Zhang

Journal Article

Will Massive Appetite for Minerals Stall Clean Energy Transition?

Mitch Leslie

Journal Article

Prediction of Food Consumption and Grain Demand in Chinese Mainland

Liangjie Xin

Journal Article