A Study on the Individual Distance of a Small RobotMoving towards Adult Male and Female

In Japan, robots are a regular feature of daily life and in rehabilitation support care and reporting on any emergencies involving the elderly. This study is on design guidelines for the living space with robots and can be applied to the architectural planning and focused on the basic environmental primary factor. The key terms were space, people-adult male and female, positions, and the robot-size, speed-settings and approaching angles. This research is the distances a small mobile robot moves to an adult male compared with that toward an adult female. The authors focus on a small mobile robot and identify the distances from which the robot can approach individuals, and also clarify how the distances to individuals change as the robot＇s speed and angle of approach varies. The study did this experiment to analyze 30 patterns per person and also when at an angle of the difference of male and female, two position standing/seated and three speed-settings0.08 m/sec, 0.24 m/sec and 0.48 m/sec and five directions--0°, 45°, 90°, 135° and 180°.

Small regulators making big impacts:regulation of neural stem cells by small non-coding RNAs

Neurodegeneration and traumatic brain injuries are leading causes of disability and present an enormous disease burden both in terms of patient suffering and healthcare cost.Treatment of brain lesions remains as a major challenge in medicine largely because of the limited regenerative capacity of the adult brain.

Study on Individual Distance of the Non-Japanese for the Small Mobile Robot

This study seeks to establish techniques of architecture planning for living robots and human together. This experiment is elemental step to search relations between a small mobile robot and human. This experiment is ＂How can a small mobile robot approach to individuals distances of foreigners （non-Japanese） up to the point where foreigners （non-Japanese） do not feel like approaching any more＂. It focuses on a small mobile robot and identifies distances at which the robot can approach to individuals, particularly adult foreign male. This paper clarifies how the individual distances change by the robot＇s speed and angle of approach varies.

A Study on the Distances of Small Mobile Robot Moves towards Infants

In recent years, it is remarkable that various robots are being developed, and the development of robot technology is beginning to be taken into an actual living space. There are still many questions that we will have to answer for the harmonization of living together with a robot. This study is focused on ＂the study of how to plan and design a living space in harmonizing with robots＂, and focused on the effects of infants （subjects） along with the distance between robots and themselves. The study is to seek for the minimum distance for the subjects who felt that ＂I do not want a robot to be any closer being approached to me＂. This experiment was conducted among 30 infants at the kindergarten, utilizing a small experimental robot. A small robot whose dimension is 120 mm （W） ×130 mm （D） × 70 mm （H）, approaching infants as is to see if it would make any differences to the infant＇s reactions.

Data processing of small samples based on grey distance information approach

Data processing of small samples is an important and valuable research problem in the electronic equipment test. Because it is difficult and complex to determine the probability distribution of small samples, it is difficult to use the traditional probability theory to process the samples and assess the degree of uncertainty. Using the grey relational theory and the norm theory, the grey distance information approach, which is based on the grey distance information quantity of a sample and the average grey distance information quantity of the samples, is proposed in this article. The definitions of the grey distance information quantity of a sample and the average grey distance information quantity of the samples, with their characteristics and algorithms, are introduced. The correlative problems, including the algorithm of estimated value, the standard deviation, and the acceptance and rejection criteria of the samples and estimated results, are also proposed. Moreover, the information whitening ratio is introduced to select the weight algorithm and to compare the different samples. Several examples are given to demonstrate the application of the proposed approach. The examples show that the proposed approach, which has no demand for the probability distribution of small samples, is feasible and effective.

Evaluation of a software positioning tool to support SMEs in adoption of big data analytics

Big data analytics has been widely adopted by large companies to achieve measurable benefits including increased profitability,customer demand forecasting,cheaper development of products,and improved stock control.Small and medium sized enterprises(SMEs)are the backbone of the global economy,comprising of 90%of businesses worldwide.However,only 10%SMEs have adopted big data analytics despite the competitive advantage they could achieve.Previous research has analysed the barriers to adoption and a strategic framework has been developed to help SMEs adopt big data analytics.The framework was converted into a scoring tool which has been applied to multiple case studies of SMEs in the UK.This paper documents the process of evaluating the framework based on the structured feedback from a focus group composed of experienced practitioners.The results of the evaluation are presented with a discussion on the results,and the paper concludes with recommendations to improve the scoring tool based on the proposed framework.The research demonstrates that this positioning tool is beneficial for SMEs to achieve competitive advantages by increasing the application of business intelligence and big data analytics.

A Study about the Effect of Space Size on the Individual Distance

This study is the design guidelines for the living space with robots. The study can be applied to the architectural planning and focused on the basic environmental primary factor. The authors focused on space size, specifical distance from the wall in the front direction, position, and distance between an individual as factors affecting individual distance. The authors research the distances a small mobile robot moves to a six mats space compared with that toward a distances 5 m or more （space less physical factors）. The following three results were obtained： （1） The individual distance is smaller than 30 cm in both the approach angle in the experiment space of six mats; （2） The distance from the wall in the front increased, and the individual distance between a participant and a robot also increased; （3） In terms of body position, the upright positioning was clarified and the individual distance was small.

Small Islands Create Big Disputes

The Japanese Government＇s move to ＂purchase＂ the disputed Diaoyu Islands fuels tensions between China and Japan

Big Relief From a Small Tin

Tiger Balm,a Chinese herbal remedy,enjoys an unexpected popularity onthe African continentLIANG Bo first came to Rwanda on a business trip in 2009.While walking around Kigali,the capital city,Liang came across a group of local children who stared at his exotic Chinese face with excitement and kept saying：＂Tiger!Tiger!＂This left Liang confused.What on earth did he have to do with a tiger？What could the children possibly want from him？

Phacoemulsification versus small incision cataract surgery in patients with uveitis

AIMTo compare the safety and efficacy of phacoemulsification and small incision cataract surgery (SICS) in patients with uveitic cataract.METHODSIn a prospective, randomized multi-centric study, consecutive patients with uveitic cataract were randomized to receive phacoemulsification or manual SICS by either of two surgeons well versed with both the techniques. A minimum inflammation free period of 3mo (defined as less than 5 cells per high power field in anterior chamber) was a pre-requisite for eligibility for surgery. Superior scleral tunnel incisions were used for both techniques. Improvement in visual acuity post-operatively was the primary outcome measure and the rate of post-operative complications and surgical time were secondary outcome measures, respectively. Means of groups were compared using t-tests. One way analysis of variance (ANOVA) was used when there were more than two groups. Chi-square tests were used for proportions. Kaplan Meyer survival analysis was done and means for survival time was estimated at 95% confidence interval (CI). A P value of <0.05 was considered statistically significant.RESULTSOne hundred and twenty-six of 139 patients (90.6%) completed the 6-month follow-up. Seven patients were lost in follow up and another six excluded due to either follow-up less than six months (n=1) or inability implant an intraocular lens (IOL) because of insufficient capsular support following posterior capsule rupture (n=5). There was significant improvement in vision after both the procedures (paired t-test; P<0.001). On first postoperative day, uncorrected distance visual acuity (UDVA) was 20/63 or better in 31 (47%) patients in Phaco group and 26 (43.3%) patients in SICS group (P=0.384). The mean surgically induced astigmatism (SIA) was 0.86±0.34 dioptres (D) in the phacoemulsification group and 1.16±0.28 D in SICS group. The difference between the groups was significant (t-test, P=0.002). At 6mo, corrected distance visual acuity (CDVA) was 20/60 or better in 60 (90.9%) patients in Phaco group and 53 (88.3%) in the manual SICS group (P=0.478). The mean surgical time was significantly shorter in the manual SICS group (10.8±2.9 versus 13.2±2.6min) (P<0.001). Oral prednisolone, 1 mg/kg body weight was given 7d prior to surgery, continued post-operatively and tapered according to the inflammatory response over 4-6wk in patients with previously documented macular edema, recurrent uveitis, chronic anterior uveitis and intermediate uveitis. Rate of complications like macular edema (Chi-square, P=0.459), persistent uveitis (Chi-square, P=0.289) and posterior capsule opacification (Chi-square, P=0.474) were comparable between both the groups.CONCLUSIONManual SICS and phacoemulsification do not differ significantly in complication rates and final CDVA outcomes. However, manual SICS is significantly faster. It may be the preferred technique in settings where surgical volume is high and access to phacoemulsification is limited, such as in eye camps. It may also be the appropriate technique for uveitic cataract under such circumstances.

A Novel Approach to Design Distribution Preserving Framework for Big Data

In several fields like financial dealing,industry,business,medicine,et cetera,Big Data(BD)has been utilized extensively,which is nothing but a collection of a huge amount of data.However,it is highly complicated along with time-consuming to process a massive amount of data.Thus,to design the Distribution Preserving Framework for BD,a novel methodology has been proposed utilizing Manhattan Distance(MD)-centered Partition Around Medoid(MD–PAM)along with Conjugate Gradient Artificial Neural Network(CG-ANN),which undergoes various steps to reduce the complications of BD.Firstly,the data are processed in the pre-processing phase by mitigating the data repetition utilizing the map-reduce function;subsequently,the missing data are handled by substituting or by ignoring the missed values.After that,the data are transmuted into a normalized form.Next,to enhance the classification performance,the data’s dimensionalities are minimized by employing Gaussian Kernel(GK)-Fisher Discriminant Analysis(GK-FDA).Afterwards,the processed data is submitted to the partitioning phase after transmuting it into a structured format.In the partition phase,by utilizing the MD-PAM,the data are partitioned along with grouped into a cluster.Lastly,by employing CG-ANN,the data are classified in the classification phase so that the needed data can be effortlessly retrieved by the user.To analogize the outcomes of the CG-ANN with the prevailing methodologies,the NSL-KDD openly accessible datasets are utilized.The experiential outcomes displayed that an efficient result along with a reduced computation cost was shown by the proposed CG-ANN.The proposed work outperforms well in terms of accuracy,sensitivity and specificity than the existing systems.

Enhanced Best Fit Algorithm for Merging Small Files

In the Big Data era,numerous sources and environments generate massive amounts of data.This enormous amount of data necessitates specialized advanced tools and procedures that effectively evaluate the information and anticipate decisions for future changes.Hadoop is used to process this kind of data.It is known to handle vast volumes of data more efficiently than tiny amounts,which results in inefficiency in the framework.This study proposes a novel solution to the problem by applying the Enhanced Best Fit Merging algorithm(EBFM)that merges files depending on predefined parameters(type and size).Implementing this algorithm will ensure that the maximum amount of the block size and the generated file size will be in the same range.Its primary goal is to dynamically merge files with the stated criteria based on the file type to guarantee the efficacy and efficiency of the established system.This procedure takes place before the files are available for the Hadoop framework.Additionally,the files generated by the system are named with specific keywords to ensure there is no data loss(file overwrite).The proposed approach guarantees the generation of the fewest possible large files,which reduces the input/output memory burden and corresponds to the Hadoop framework’s effectiveness.The findings show that the proposed technique enhances the framework’s performance by approximately 64%while comparing all other potential performance-impairing variables.The proposed approach is implementable in any environment that uses the Hadoop framework,not limited to smart cities,real-time data analysis,etc.

Small Town,Big Dream

THE small town of Zhili in Huzhou,east China’sZhejiang Province, has a population of450,000 living within an area of 25 square kilometers. Lying on the south of Taihu Lake is the Shoulder Pole Street, which once was a street with an area of 0.58 square kilometers. Today that street has developed into the larg-est children’s clothing industry cluster in China, and transformed Zhili from a once utterly backward town into a promising center of industry.

Small Luggage,Big Diplomacy

Luggage is always something very ordinary in the daily life,but sometimes,maybe you don＇t believe,it plays unusual role in the diplomatic affairs. Sponsored by Beijing Oriental Sunshine Public Relations and Shanghai Diplomats Group,the“Diplomat Luggage Series Party and Product Introduction”was held on July 12th 2007 at Beijing Duty Free Shop for diplomatic missions and promoting the“Diplomat”brand.This activity attracted diplomats from Bulgaria, Belarus,Kuwait,etc. The diplomats gave high praises to the party,and the luggage exhibited as well.Some diplomats bought the luggage,some others got a luck draw.They said the China-made luggage would accompany them to travel across the world.The activity was in a leisure,happy and exciting atmosphere. The worldly renowned Diplomat Luggage Corporation,a senior traveling goods manufacturer,was founded in 1971 China,developed in the United States,marketing throughout Asia,the Middle East, Europe,the Americas,Africa,Australia and so on around the world.It has been there for 35 years of brilliant history. By right of its rich professional technique and product experience,Diplomat Luggage has been constantly absorbing the world new trends and information for over 35 years,and has never stopped to produce luggage that well meet the needs of customers. During the party China＇s Foreign Trade interviewed Harris Huang,CEO of China Head Office, Diplomat Luggage Corporation.The following are his comments.

Small Screen, Big Impact

Over 200 children and adults gave a rousing reception to Uganda＇s Minister of Education and Sports Janet Museveni and Chinese Ambassa-dor to Uganda Zheng Zhuqiang, accompanied by StarTimes TV personnel.

Small Booth,Big Trend

ONE afternoon, while enjoying a leisurely stroll in her favorite shopping center in Beijing, something caught the eyes of Wang Wen. The 25-year-old professional was attracted by a row of glass booths somewhat resembling telephone booths. After a close look, she realized they were nothing less than karaoke booths, It was too much of a fine chance to have fun and play the pop star for a few songs, so she decided to give it a try.

Big Data Clustering Optimization Based on Intuitionistic Fuzzy Set Distance and Particle Swarm Optimization forWireless Sensor Networks

Big data clustering plays an important role in the field of data processing in wireless sensor networks.However,there are some problems such as poor clustering effect and low Jaccard coefficient.This paper proposes a novel big data clustering optimization method based on intuitionistic fuzzy set distance and particle swarm optimization for wireless sensor networks.This method combines principal component analysis method and information entropy dimensionality reduction to process big data and reduce the time required for data clustering.A new distance measurement method of intuitionistic fuzzy sets is defined,which not only considers membership and non-membership information,but also considers the allocation of hesitancy to membership and non-membership,thereby indirectly introducing hesitancy into intuitionistic fuzzy set distance.The intuitionistic fuzzy kernel clustering algorithm is used to cluster big data,and particle swarm optimization is introduced to optimize the intuitionistic fuzzy kernel clustering method.The optimized algorithm is used to obtain the optimization results of wireless sensor network big data clustering,and the big data clustering is realized.Simulation results show that the proposed method has good clustering effect by comparing with other state-of-the-art clustering methods.

Revisiting the death of geography in the era of Big Data:the friction of distance in cyberspace and real space

Many scholars have argued that the importance of geographic proximity in human interactions has been diminished by the use of the Internet,while others disagree with this argument.Studies have noted the distance decay effect in both cyberspace and real space,showing that interactions occur with an inverse relationship between the number of interactions and the distance between the locations of the interactors.However,these studies rarely provide strong evidence to show the influence of distance on interactions in cyberspace,nor do they quantify the differences in the amount of friction of distance between cyberspace and real space.To fill this gap,this study used massive amounts of social media data(Twitter)to compare the influence of distance decay on human interactions between cyberspace and real space in a quantitative manner.To estimate the distance decay effect in both cyberspace and real space,the distance decay function of interactions in each space was modeled.Estimating the distance decay in cyberspace in this study can help predict the degree of information flow across space through social media.Measuring how far ideas can be diffused through social media is useful for users of location-based services,policy advocates,public health officials,and political campaigners.

融合实测数据的地表沉降SBAS-InSAR监测方法

近年来我国煤矿地下开采深度不断增加,深部非充分开采条件下矿区地表沉降量偏小、持续周期长,使用小基线集(SBAS)时序InSAR技术可用于获取矿区地表高时空分辨率的变形信息,然而InSAR监测中失相干问题会导致部分下沉区域无法得到有效形变信息。提出了一种融合实测数据的地表沉降SBAS-InSAR监测方法,以万年矿沉降区的26景哨兵1A数据和部分水准实测数据为试验数据,通过融合部分同时期水准实测数据,采用反距离加权插值法(Inverse Distance Weighted,IDW)对研究区内失相干区域进行IDW空间插值,得到地表沉降区完整且连续的地表沉降信息,解决了部分沉降区域因植被旺盛引起的InSAR数据失相干问题。通过提取研究区内走向及倾向时序沉降曲线,对万年矿工作面132153和132157非充分开采地表沉降规律进行分析,发现工作面132153较132157沉降范围更广,沉降量更大,是由其开采过程中邻近老采空区出现“活化”现象所致。选取和对比3个同时期的InSAR监测结果与水准实测结果,其均方根误差分别为±6.0,±4.4和±9.8 mm。研究结果表明,融合实测数据和IDW插值后的SBAS-InSAR应用于矿区深部非充分开采地表沉降时序监测具有很高的可靠性,监测精度完全满足相关工程技术要求。

基于改进ELECTRE-IN的小微企业信用评估

基于小微企业有效评价信息匮乏的难题,以非财务指标为重点,纳入水电费等大数据下体现企业违约风险的因素,构建了小微企业信用评价指标体系。引用ELECTRE-IN消除ELECTRE-Ⅲ中由偏好指数产生的放大效应,完善级别高于关系的构造过程。针对ELECTRE-IN主观性强及排序复杂的问题,首先利用BWM-GiNi组合赋权法确定评价指标的综合权重,并根据样本数据极差确定阈值组合,增强其客观性。其次引用可信度法替代蒸馏算法,简化排序过程。最后利用算例对一批小微企业进行排序,算例结果验证了模型的有效性。