Design of A Virtual Laboratory for Automation Control

In the past, only students who studied on campus were able to access laboratory equipment in traditional lab courses; distance learning students, enrolled in online courses, were at a disadvantage for they could learn basic lab experiment principles but could never experience hands-on learning. Modeling and simulation can be a powerful tool for generating virtual laboratories for distance learning students. This thesis describes the design and development of a virtual laboratory for automation control using mechanical, electrical, and pneumatic components for an automation and control course at Old Dominion University. This virtual laboratory application was implemented for two platforms — Windows personal computers and Android smartphones. The virtual lab serves as pre-lab session for on-campus students and a virtual lab tool for distance-learning students to gain some “hands-on” lab experience. Utilizing the virtual learning environment as a supplement to engineering-based laboratories is also beneficial for students to prepare for the physical experiment and obtain a “hands-on,” practical lab experience without the hazards present in the physical lab. Such a methodology can also be applied to experiments in different fields such chemistry, etc

Design and Pricing of Probabilistic Quality

Increasingly, sellers are offering goods characterized by probabilistic quality. In such offers, buyers receive a synthetic product comprising of a lottery between two vertically differentiated goods. Given this emerging practice, I formally investigate the design and pricing of probabilistic quality. In this dissertation, I ask: How does probabilistic selling improve seller profits in vertical markets? When probabilistic quality is optimal, how is it designed; in particular, how are the associated probability, pricing, and product set determined? Further, what is the impact of transaction costs on the design of probabilistic quality? Next, what is the impact of probabilistic selling on consumer surplus? Finally, will probabilistic quality arise under demand uncertainty? My analysis reveals that probabilistic quality can enhance seller profits via three distinct routes: profitably disposing excess capacity, better targeting of the high-quality product, and greater market coverage. In addition, transaction costs can play a critical role on the emergence and manner of emergence of probabilistic quality. Next, I find that probabilistic quality can potentially enhance consumer surplus even though its implementation necessitates a dissipative transaction cost. Finally, I find that probabilistic quality is robust to considerations of demand uncertainty

Translation and Interpretation (TIP) Training Manual

The goal is to provide a systematic training manual for future volunteers monthly training sessions. The goal of this manual is to make sure every volunteers know how to behave appropriately in terms of campus emergency situations.https://orb.binghamton.edu/mpa_capstone/1016/thumbnail.jp

PENGARUH BUDAYA ORGANISASI DAN KEPUASAN KERJA TERHADAP KOMITMEN ORGANISASI PADA KARYAWAN PT UNITED KINGLAND SERANG BANTEN

ABSTRACT ZELIN YASTI NINGSIH. The Influence Organizational Culture And Job Satisfaction Towards Organizational Commitment On Employee Of PT United Kingland Serang Banten. Scientific Paper. Study Program of Economic Education, Faculty of Economics, State University of Jakarta, 2016. This Study aims to determine whether there is the influence of organizational culture and job satisfaction towards organizational commitment of employees in PT United Kingland Serang Banten. The research was conducted over three months from March to May 2016. The research method used is survey method with the correlation approach. The research population was all employee of PT United Kingland as much 550. The sample used as many as 89 employees by using simple random sampling. Data variable Y (organizational commitment), variable X1 (organizational culture) and the data variable X 2 (job satisfaction) are primary data. Techniques of data analysis using SPSS 22,0. From the result of F test , found that Fcount (47,561) > Ftable (3,1025). This means that X1 and X2 simultaneously affect the Y. T test produce tcount of X1 is (5,344) > ttable (1,987) and tcount X2 (5,760) > ttable (1,987). Because tcount >ttable , it can be concluded that there is a influence on the oragnizational culture and job satisfaction towards organizational commitment. Then a coefficient of determination of test results obtained 0,525 or 52,5% variable Y determined by X1 and X2 . Based on the result of regretion model, regression equation obtained is Y = 12,574 + 0,49X1 + 0,327X2 . Beside that, the result of R2 eqqual to 0,525 which means that organizational culture and job satisfaction can explained organizational commitment eqqual to 52,5% and 47,5% explained with another variabel. Based on the average arithmetic scores on the dimensions and indicators of organizational commitment obtained the lowest dimension is normative commitment with indicators employee’s values. It happens because the employee considers survive in organizations is not an obligation for employees. The average arithmetic scores on indicators organizational culture obtained the lowest indicator is behavior. In this case because the culture in organization is less able to control the behavior of employees. The average arithmetic scores on the dimensions and indicators of job satisfaction obtained the lowest dimension is coworker with indicator is fun. In this case because the relationship between employees less harmonious. Keywords: Organizational Commitment, Organizational Culture, Job Satisfactio

Face Recognition from Sequential Sparse 3D Data via Deep Registration

Previous works have shown that face recognition with high accurate 3D data is more reliable and insensitive to pose and illumination variations. Recently, low-cost and portable 3D acquisition techniques like ToF(Time of Flight) and DoE based structured light systems enable us to access 3D data easily, e.g., via a mobile phone. However, such devices only provide sparse(limited speckles in structured light system) and noisy 3D data which can not support face recognition directly. In this paper, we aim at achieving high-performance face recognition for devices equipped with such modules which is very meaningful in practice as such devices will be very popular. We propose a framework to perform face recognition by fusing a sequence of low-quality 3D data. As 3D data are sparse and noisy which can not be well handled by conventional methods like the ICP algorithm, we design a PointNet-like Deep Registration Network(DRNet) which works with ordered 3D point coordinates while preserving the ability of mining local structures via convolution. Meanwhile we develop a novel loss function to optimize our DRNet based on the quaternion expression which obviously outperforms other widely used functions. For face recognition, we design a deep convolutional network which takes the fused 3D depth-map as input based on AMSoftmax model. Experiments show that our DRNet can achieve rotation error 0.95{\deg} and translation error 0.28mm for registration. The face recognition on fused data also achieves rank-1 accuracy 99.2% , FAR-0.001 97.5% on Bosphorus dataset which is comparable with state-of-the-art high-quality data based recognition performance.Comment: To be appeared in ICB201

Asymmetry in Leader Image Effects and the Implications for Leadership Positioning in the 2010 British General Election

Using national survey data on voters' perceptions of party leaders during the 2010 British general election campaign, we use logistic regression analysis to explore the association between specific image attributes and overall satisfaction for each leader. We find attribute-satisfaction relationships differ in some respects between the three main party leaders, demonstrating that leader image effects are not symmetrical across leaders. We find evidence that negative perceptions have more powerful effects on satisfaction than positive ones, implying that parties should seek to determine a leader's image attribute perceptions measured against the public's expectations of them on the same dimensions. The positions that campaigners ought then to choose are those that will have the most beneficial effect in encouraging voting behaviour for each particular leader or discouraging voting behaviour for an opponent