Human, Nature, Harmony Self-service Travelling in Stockholm

I decided to visit my friends in Stockholm, Sweden in October. Took an overnight flight to Northern Europe from East Africa, and same as the return journey. It saved me two days of accommodation in this way. I can also go directly to the scenic spots if I am not tired after getting off the plane.

Customer-Value Creation in Self-service Technologies (SSTs) in the Tourism Industry

This paper explores and validates the process of customer value creation in self-service technologies(SSTs)in the context of the tourism industry.As the self-technology has been gradually advanced,its adoption in the tourism industry has brought many changes.A new trend of self-service technologies has helped service firms to save the labor costs and customers’waiting time for transactions.The purpose of this study is to confirm an applicability and a design of the original model of SSTs and explore the connection between SSTs and creation of value perception through a confirmatory factor analysis in the context of the tourism industry.Furthermore,the results of the online survey questionnaire from 234 responses in the United States and South Korea are explained in this study.The results of this study concluded that five statistically important factors are related to customers’motivations to use SSTs and enable customers to interact with SSTs as“SST location and capacity planning”,“SST service quality”,“motivations to use SST”,“SST design”,and“SST encounter”.These factors may imply an important meaning to better understand about customer value during the adoption of SSTs in the tourism industry.Tourism firms may use the results of this study to effectively enhance how customers perceive value about their products and services during the usage of SSTs.This will help tourism firms’efficiencies on the adoption of SSTs for their business plans and help them remain profitable in the competitive market.

Scheduling Check-in Staff with Hierarchical Skills and Weekly Rotation Shifts

The paper aims to schedule check-in staff with hierarchical skills as well as day and night shifts in weekly rotation.That shift ensures staff work at day in a week and at night for the next week.The existing approaches do not deal with the shift constraint.To address this,the proposed algorithm firstly guarantees the day and night shifts by designing a data copy tactic,and then introduces two algorithms to generate staff assignment in a polynomial time.The first algorithm is to yield an initial solution efficiently,whereas the second incrementally updates that solution to cut off working hours.The key idea of the two algorithms is to utilize a block Gibbs sampling with replacement to simultaneously exchange multiple staff assignment.Experimental results indicate that the proposed algorithm reduces at least 15.6 total working hours than the baselines.

Development of a Model for International Traveler’s Check-In Process Using Arena Software Tool

The increasing demand for airline services amidst limited resources results in passenger dissatisfaction and dwindling revenue for airports and airlines. The dynamics of service demand and resource supply results in check-in issues for the stakeholders in the commercial aviation industry. This has the effect of impacting negatively on service performance, cost of operations, customer satisfaction, and overall throughput. Hence, this paper modelled the travelers’ check-in process at the “D Wing” of the Departure Section of Murtala Muhammed International Airport (MMIA), Ikeja, using Arena Software Tool. The work was carried out by determining the parameters of the queues at designated service points in the check-in process. The primary data required to develop the model were acquired by direct observation of passenger flow and oral interview. Thus, the average check-in time was determined. Thereafter, a model of the international check-in system of the MMIA was developed using Arena software in combination with Microsoft Office tools. The data collected were therefore inputted into the model and simulated;the real result was compared with the simulation result of 133 completions and there was no significant difference. The result showed that the model is a representation of the real system under study. Further work will be tailored towards simulation (i.e. the model will be subjected to experimentation in order to have different scenario).

Simulation of a Model for International Traveler’s Check-In Process Using Arena Software Tool

With the current situation of insecurity in Nigeria and the worsening condition of Nigerian roads, there is increasing demand for air travel. This increasing demand for airline services amidst limited resources results in passenger dissatisfaction and reduction of revenue for airports and airlines. The dynamics of service demand and resource supply result in check-in issues for all the stakeholders in the commercial aviation industry. Hence, this research simulated the developed model for travelers’ check-in process at the “D Wing” of the Departure Section of Murtala Muhammed International Airport (MMIA), Ikeja, using Arena Software Tool. The simulation of the developed model was carried out by varying five different configurations of the servers with respect to the baggage weighing machines and passenger profiling devices to obtain the minimum average check-in time (ACT) for the process, with each configuration undergoing 133 completions of simulation runs. The result of the experimentation revealed that the 3 × 3 × 4 configuration of servers produced the smallest ACT of 18.25 minutes. This translates to a difference of about 58 minutes from the 76.16 minutes ACT of the real system;representing about 76% improvement in the check-in time of passengers. This study contributed to knowledge by revealing that the main choke points in the MMIA check-in system occur at the baggage weighing and passenger profiling areas as against the check-in counter sub-section as advanced by previous works. Furthermore, the research added value to knowledge by creating a balance between customer satisfaction and cost of operations thereby accommodating the interests of the passenger and the operator who are the two main stakeholders in the commercial aviation industry.

基于位置签到数据的城市分层地标提取

为了及时准确地获取用于智慧位置服务的城市层次性空间知识,该文提出了一种依据签到属性显著度的差异从位置签到数据中提取城市分层地标的方法.首先,针对传统基于调查问卷的公众认知度计算方法存在的不足,该文从位置签到数据中的签到次数、签到用户数和用户影响因子3个方面入手讨论POI显著度的影响因素,进而提出了一种基于签到数据的POI显著度计算模型;然后,利用Voronoi图对POI空间作用范围进行分割并结合邻域分析与合并算法逐层迭代,形成了基于签到POI显著度与Voronoi图的分层地标提取算法;最后,以北京市的位置签到数据为例,进行了POI显著度计算与分时分层地标提取,通过与现有实体、网络地图资料的比对,验证了算法的有效性,并进一步分析了分层、分时地标反映的空间现象和规律,为个性化智慧位置服务提供城市层次性空间知识.

可编程的网络——软件定义网络

本文描述了软件定义网络(SDN)的需求、概念及关键技术,重点分析了SDN的网络结构、OpenFlow模型和OpenFlow交换机。最后,讨论了SDN的应用。

可编程的网络——软件定义网络(续)

本文描述了软件定义网络(SDN)的需求、概念及关键技术,重点分析了SDN的网络结构、OpenFlow模型和OpenFlow交换机。最后,讨论了SDN的应用。

使用Dreamweaver4协同开发Web站点

Dreamweaver的最新版本 4 .0集网页的设计制作和站点的创建管理功能于一身 ,本文就解决协同工作的问题 ,给出利用”CheckIn”和”CheckOut”

Hotel Guest Service Technology

For any hotel guest reception technology is an important factor in the quality service process,financial-economic efficiency,and management of the hotel industry.The service process in the same type hotel is standard,meanwhile the service process technology undergoes certain alterations according to the hotel’s size,structure,category,and market segment orientation.Hotel customer service technology is characterized by cycling phases—consistent repeat of the service process before the departure of the guest from the hotel.The article discusses the four-phase cycle of guest reception,related to the hotel services and transactions.Each phase of the cycle consists of standard transactions/phases,which are carried out between hotel clients and the hotel itself.

In search of service innovations by public libraries in Chinese urban centers:A case study of Dongguan Library

This article introduces several of the more significant service delivery innovations and their resulting accomplishments instigated by Dongguan Library(thereafter abbreviated as DGL) in recent years. The textual exposition of this paper is based on a case study of DGL by this author about its user-centered vision, mission, immediate objectives and the exhibited service performance within a contextual environment of collegial support from its professional peers. After a five-year period of intensive efforts on such focused professional development and practice, DGL has completed its information service mapping and information delivery for the entire municipality of Dongguan on a 7-day and twentyfour-hour(7/24) basis. This singular feast of accomplishment seems to suggest the moral that any significant development of scale of a municipal library has to be in keeping pace closely with the progress of the society at large in general and with the changing information demands of its local clientele in particular.

Latent spatio-temporal activity structures: a new approach to inferring intra-urban functional regions via social media check-in data

This article introduces a novel low rank approximation (LRA)-based model to detect the functional regions with the data from about 15 million social media check-in records during a year-long period in Shanghai, China. We identified a series of latent structures, named latent spatio-temporal activity structures. While interpreting these structures, we can obtain a series of underlying associations between the spatial and temporal activity patterns. Moreover, we can not only reproduce the observed data with a lower dimensional representative, but also project spatio-temporal activity patterns in the same coordinate system. With the K-means clustering algorithm, five significant types of clusters that are directly annotated with a combination of temporal activities can be obtained, providing a clear picture of the correlation between the groups of regions and different activities at different times during a day. Besides the commercial and transportation dominant areas, we also detected two kinds of residential areas, the developed residential areas and the developing residential areas.We further interpret the spatial distribution of these clusters using urban form analytics. The results are highly consistent with the government planning in the same periods, indicating that our model is applicable to infer the functional regions from social media check-in data and can benefit a wide range of fields, such as urban planning, public services, and location-based recommender systems.

Joint model of user check-in activities for point-of-interest recommendation

With the rapid development of location-based networks, point-of-interest（POI） recommendation has become an important means to help people discover interesting and attractive locations, especially when users travel out of town. However, because users only check-in interaction is highly sparse, which creates a big challenge for POI recommendation. To tackle this challenge, we propose a joint probabilistic generative model called geographical temporal social content popularity（GTSCP） to imitate user check-in activities in a process of decision making, which effectively integrates the geographical influence, temporal effect, social correlation, content information and popularity impact factors to overcome the data sparsity, especially for out-of-town users. Our proposed the GTSCP supports two recommendation scenarios in a joint model, i.e., home-town recommendation and out-of-town recommendation. Experimental results show that GTSCP achieves significantly superior recommendation quality compared to other state-of-the-art POI recommendation techniques.

乘机别忘Check-in

随着生活水平的提高,出国旅行成为越来越多中国家庭假期的假日选择。出国旅行的主要交通工具就是飞机。小朋友们跟随父母亲在国外乘机,了解一些国外机场常用的英语表达是非常有帮助的。今天我们就来讲讲在国外机场乘机最重要的环节:check-in。在机场,这个词可以理解为'办理登机手续'。

Diversifying Top-κRoutes with Spatial Constraints

Trip recommendation has become increasingly popular with the rapid growth of check-in data in location-based social networks.Most existing studies focused only on the popularity of trips.In this paper,we consider further the usability of trip recommendation results through spatial diversification.We thereby formulate a new type of queries named spatial diversified top-κroutes(SDκR)query.This type of queries finds k trip routes with the highest popularity,each of which starts at a given starting point,consumes travel time within a given time budget,and passes through points of interest(POIs)of given categories.Any two trip routes returned are diversified to a certain degree defined by the spatial distance between the two routes.We show that the SDkR problem is NP-hard.We propose two precise algorithms to solve the problem.The first algorithm starts with identifying all candidate routes that satisfy the query constraints,and then searches for theκ-route combination with the highest popularity.The second algorithm identifies the candidate routes and builds up the optimalκ-route combination progressively at the same time.Further,we propose an approximate algorithm to obtain even higher query efficiency with precision bounds.We demonstrate the effectiveness and efficiency of the proposed algorithms on real datasets.Our experimental results show that our algorithms find popular routes with diversified POI locations.Our approximate algorithm saves up to 90%of query time compared with the baseline algorithms.

User Account Linkage Across Multiple Platforms with Location Data

Linking user accounts belonging to the same user across different platforms with location data has received significant attention,due to the popularization of GPS-enabled devices and the wide range of applications benefiting from user account linkage(e.g.,cross-platform user profiling and recommendation).Different from most existing studies which only focus on user account linkage across two platforms,we propose a novel model ULMP(i.e.,user account linkage across multiple platforms),with the goal of effectively and efficiently linking user accounts across multiple platforms with location data.Despite of the practical significance brought by successful user linkage across multiple platforms,this task is very challenging compared with the ones across two platforms.The major challenge lies in the fact that the number of user combinations shows an explosive growth with the increase of the number of platforms.To tackle the problem,a novel method GTkNN is first proposed to prune the search space by efficiently retrieving top-k candidate user accounts indexed with well-designed spatial and temporal index structures.Then,in the pruned space,a match score based on kernel density estimation combining both spatial and temporal information is designed to retrieve the linked user accounts.The extensive experiments conducted on four real-world datasets demonstrate the superiority of the proposed model ULMP in terms of both effectiveness and efficiency compared with the state-of-art methods.