-
Article
Open AccessEnergy-aware task offloading with deadline constraint in mobile edge computing
With the development of the wireless network, increasing mobile applications are emerging and receiving great popularity. These applications cover a wide area, such as traffic monitoring, smart homes, real-tim...
-
Article
Efficient scheduling for multi-stage coflows
In data center networks (DCN), large scale flows produced by parallel computing frameworks form many coflows semantically. Most inter-coflow schedulers only focus on the remaining data of coflows and attempt t...
-
Chapter and Conference Paper
Word Segmentation for Chinese Judicial Documents
Word segmentation is an integral step in many knowledge discovery applications. However, existing word segmentation methods have problems when applying to Chinese judicial documents: (1) existing methods rely ...
-
Chapter and Conference Paper
Evaluation System for Reasoning Description of Judgment Documents Based on TensorFlow CNN
In order to improve the quality of the judgment documents, the state and government have introduced laws and regulations. However, the current status of trials in our country is that the number of cases is ver...
-
Chapter and Conference Paper
Statute Recommendation Based on Word Embedding
The statute recommendation problem is a sub problem of the automated decision system, which can help the legal staff to deal with the process of the case in an intelligent and automated way. In this paper, an ...
-
Chapter and Conference Paper
The Construction Approach of Statutes Database
The storage of statutes is a preliminary and essential work for Chinese text processing, which plays an important role in legal area. Nowadays, there are not specific databases for statutes. Most existing data...
-
Chapter and Conference Paper
Statutes Recommendation Using Classification and Co-occurrence Between Statutes
In the trial process, it is difficult and tedious for judges to find appropriate statutes to decide cases, especially complicated cases. In this paper, we propose a method to recommend statutes that are appli...
-
Chapter and Conference Paper
Automatically Classifying Chinese Judgment Documents Using Character-Level Convolutional Neural Networks
Judgment is a decision by a court or other tribunal that resolves a controversy and determines the rights and obligations of the parties. Since the establishment of the China Judgments Online System, more and ...
-
Chapter and Conference Paper
Construction of Microblog-Specific Chinese Sentiment Lexicon Based on Representation Learning
Sentiment analysis is a research hotspot in Nature Language Processing, and high-quality sentiment lexicon plays an important part in sentiment analysis. In this paper, we explore an approach to build a microb...
-
Chapter and Conference Paper
Establish Evidence Chain Model on Chinese Criminal Judgment Documents Using Text Similarity Measure
One of the most prominent issues in criminal judgment documents is the insufficient evidence. In order to raise the level of judgment documents reasoning, we need to evaluate the quality of evidence in judgmen...
-
Chapter and Conference Paper
A Novel Convolutional Neural Network for Statutes Recommendation
In recent years, statutes recommendation has been a popular research subject of artificial intelligence in legal domain. However, the existing statutes recommendation systems are more oriented to professionals...
-
Chapter and Conference Paper
Predicting Statutes Based on Causes of Action and Content of Statutes
In recent years, the Supreme People’s Court of China has vigorously promoted the information construction of the people’s court. A large number of information are stored in judgment documents, these documents ...
-
Chapter and Conference Paper
Flexible Manufacturing Chain: A SCM for Electronic Commerce Enterprise in Clothing Industry Based on Activiti
With the business development of the process, the manager needs to improve the automation, efficiency and reliability of the business process management, especially in manufacturing area. To solve this problem...
-
Chapter and Conference Paper
Topic Model Based Text Similarity Measure for Chinese Judgment Document
In the recent informatization of Chinese courts, the huge amount of law cases and judgment documents, which were digital stored, has provided a good foundation for the research of judicial big data and machine...
-
Chapter and Conference Paper
Build Evidence Chain Relational Model Based on Chinese Judgment Documents
The reasoning of judgment documents is the touchstone of justice. Attaching importance to the reasoning of judgment documents is essentially the embodiment of judiciary civilization. In order to promote the re...
-
Chapter and Conference Paper
Automatically Classify Chinese Judgment Documents Utilizing Machine Learning Algorithms
In law, a judgment is a decision by a court that resolves a controversy and determines the rights and liabilities of parties in a legal action or proceeding. In 2013, China Judgments Online system was launched...
-
Article
Model based verification of dynamically evolvable service oriented systems
Dynamic evolution is highly desirable for service oriented systems in open environments. For the evolution to be trusted, it is crucial to keep the process consistent with the specification. In this paper, we ...
-
Article
SMPLearner: learning to predict software maintainability
Accurate and practical software maintainability prediction enables organizations to effectively manage their maintenance resources and guide maintenance-related decision making. This paper presents SMPLearner, an...
-
Chapter and Conference Paper
Workflow Scheduling in Grid Based on Bacterial Foraging Optimization
Optimal assignment of a workflow application in heterogeneous computing system is NP-complete in general case. We proposed the algorithm based on bacterial foraging optimization technique for Grid resource sch...
-
Chapter and Conference Paper
A Task Selecting Algorithm for Personal Schedules in Workflow Systems
In personal schedules for workflow systems, a participant may be assigned a lot of tasks in a work cycle or work period. However, the cycle may not be long enough such that all the assigned tasks can be schedu...
