Hazardous Materials Transportation with Multiple Objectives: A Case Study in Taiwan

Hazardous material (hazmat) transportation has been an important issue for handling hazardous materials, such as gases and chemical liquids. In the past, researchers have made great efforts to develop policies and route planning methods for hazmat transportation problems. In 2014, Kaohsiung City in Taiwan suffered a gas pipeline explosion at midnight; 32 people were killed, and hundreds of people were injured. After the incident, policies and routing strategies for hazardous materials (hazmat) transportation in Kaohsiung were initiated to avoid pipeline transportation. Although methodologies for hazmat transportation have been proposed and implemented to minimize potential risks, multiple objectives need to be considered in the process to facilitate hazmat transportation in Taiwan. In order to consider both government and operators’ aspects, a multi-objective formulation for the hazmat problem is proposed and a compromise programming method is applied to solve the problem with two objectives: travel cost and risk. The path risk is defined based on risk assessment indexes, such as road characteristics, population distribution, link length, hazardous material characteristics, and accident rates. An aggregate risk indicator is proposed for roadway segments. The compromise programming approach is developed from the concept of compromise decision and the main idea is to search the compromise solution closest to the ideal solution. The proposed method is applied to Kaohsiung City, Taiwan. The results show that two conflicting objectives keep making trade-offs between each other until they finally reach a compromise solution

Subject-relevant Document Recommendation: A Reference Topic-Based Approach

Knowledge-intensive workers, such as academic researchers, medical professionals or patent engineers, have a demanding need of searching information relevant to their work. Content-based recommender system (CBRS) makes recommendation by analyzing similarity of textual contents between documents and users’ preferences. Although content-based filtering has been one of the promising approaches to document recommendations, it encounters the over-specialization problem. CBRS tends to recommend documents that are similar to what have been in user’s preference profile. Rationally, citations in an article represent the intellectual/affective balance of the individual interpretation in time and domain understanding. A cited article shall be associated with and may reflect the subject domain of its citing articles. Our study addresses the over-specialization problem to support the information needs of researchers. We propose a Reference Topic-based Document Recommendation (RTDR) technique, which exploits the citation information of a focal user’s preferred documents and thereby recommends documents that are relevant to the subject domain of his or her preference. Our primary evaluation results suggest the outperformance of the proposed RTDR to the benchmarks

HOTEL RECOMMENDATION SYSTEM BASED ON REVIEW AND CONTEXT INFORMATION: A COLLABORATIVE FILTERING APPRO

In most organizations, knowledge sharing is often lacking when it comes to business systems success. This paper investigates factors affecting business systems success in Saudi organisations. Data were collected from private organisations in Saudi Arabia and Partial Least Square approach has been applied to analyse the data. The results show that organisational culture influence knowledge sharing towards business systems success. In addition, both intrinsic motivation and perceived usefulness has positive influence on business system success. This indicates that business system success is built upon the concept of knowledge sharing and user motivation

Cyberbullying Detection on Social Network Services

Social networks such as Facebook or Twitter promote the communication between people but they also lead to some excessive uses on the Internet such as cyberbullying for malicious users. In addition, the accessibility of the social network also allows cyberbullying to occur at anytime and evoke more harm from other users’ dissemination. This study collects cyberbullying cases in Twitter and attempts to establish an auto-detection model of cyberbullying tweets base on the text, readability, sentiment score, and other user information to predict the tweets with harassment and ridicule cyberbullying tweets. The novelty of this study is using the readability analysis that has not been considered in past studies to reflect the author\u27s education level, age, and social status. Three data mining techniques, k-nearest neighbors, support vector machine, and decision tree are used in this study to detect the cyberbullying tweets and select the best performance model for cyberbullying prediction

catena-Poly[[[aqua­(pyrazino[2,3-f][1,10]phenanthroline)cadium(II)]-μ-4,4′-ethyl­enedibenzoato] N,N-dimethyl­formamide hemisolvate]

In the title compound, [Cd(C16H10O4)(C14H8N4)(H2O)]·0.5C3H7NO, the CdII atom is six-coordinated by two N atoms from one pyrazino[2,3-f][1,10]phenanthroline ligand, three carboxyl­ate O atoms from two different 4,4′-ethyl­enedibenzoate ligands, and one water mol­ecule in a distorted octa­hedral environment. The two 4,4′-ethyl­enedibenzoate dianions are located on inversion centres bridging two neighboring CdII centres. O—H⋯O hydrogen-bonding inter­actions further stabilize the crystal structure. The DMF molecule is equally disordered about a center of inversion

catena-Poly[[zinc-bis­(μ-2-sulfido-1H-benzimidazol-3-ium-5-carboxyl­ato)-κ2 O:S;κ2 S:O] trihydrate]

In the title compound, {[Zn(C8H5N2O2S)2]·3H2O}n, the ZnII atom, lying on a twofold rotation axis, is four-coordinated by two S atoms and two O atoms from four 2-sulfido-1H-benzimidazol-3-ium-5-carboxyl­ate (H2mbidc) ligands in a distorted tetra­hedral geometry. Two H2mbidc ligands bridge two ZnII atoms, generating a double-chain along [01]. Adjacent chains are linked by N—H⋯O and O—H⋯O hydrogen bonds, forming a three-dimensional supra­molecular network. One of the two water molecules also lies on a twofold rotation axis