A Trajectory Evaluator by Sub-tracks for Detecting VOT-based Anomalous Trajectory

With the popularization of visual object tracking (VOT), more and more trajectory data are obtained and have begun to gain widespread attention in the fields of mobile robots, intelligent video surveillance, and the like. How to clean the anomalous trajectories hidden in the massive data has become one of the research hotspots. Anomalous trajectories should be detected and cleaned before the trajectory data can be effectively used. In this article, a Trajectory Evaluator by Sub-tracks (TES) for detecting VOT-based anomalous trajectory is proposed. Feature of Anomalousness is defined and described as the Eigenvector of classifier to filter Track Lets anomalous trajectory and IDentity Switch anomalous trajectory, which includes Feature of Anomalous Pose and Feature of Anomalous Sub-tracks (FAS). In the comparative experiments, TES achieves better results on different scenes than state-of-the-art methods. Moreover, FAS makes better performance than point flow, least square method fitting and Chebyshev Polynomial Fitting. It is verified that TES is more accurate and effective and is conducive to the sub-tracks trajectory data analysis.

Influencing factors and reduction of domestic solid waste at university dormitory in Shanghai, China

Increasing domestic solid waste (DSW) is becoming one of the most serious challenges for city and regional environment. As an epitome of the society, the investigation on the influencing factors and reduction of DSW of university students can not only provide policy suggestions for the waste management in the university campus, but also can achieve demonstration effect to other communities due to its high social status and wide impacts. This research combined direct weighing, questionnaire surveys, and regression analysis to quantify the influencing factors of DSW at East China Normal University’s dormitory in Shanghai. Direct weighting and questionnaire survey were conducted in 112 randomly selected dormitory rooms. Totally 523 valid questionnaires were collected. It is found that the average waste generation was 0.275 kg/day/cap, in which residual waste accounted for 64% of total, followed by household food waste (29%), and recyclable waste (7%). Regressions based on ordinary least square method suggested that students’ attitude towards waste played the most important role in affecting the waste reduction with its elasticity − 0.195. Lower educational level and better financial condition would lead to more waste generation, whose elasticity was 0.148 and 0.098 respectively. The influences of gender and major varied from waste types. Policies implications for university administration departments for sustainable waste and resource management include developing personalized and humanized waste management policies, enhancing environmental awareness through diverse educational activities, and expanding the publicity role of campus cultural activities on waste reduction.

Recursive Identification for MIMO Fractional-Order Hammerstein Model Based on AIAGS

In this paper, adaptive immune algorithm based on a global search strategy (AIAGS) and auxiliary model recursive least square method (AMRLS) are used to identify the multiple-input multiple-output fractional-order Hammerstein model. The model’s nonlinear parameters, linear parameters, and fractional order are unknown. The identification step is to use AIAGS to find the initial values of model coefficients and order at first, then bring the initial values into AMRLS to identify the coefficients and order of the model in turn. The expression of the linear block is the transfer function of the differential equation. By changing the stimulation function of the original algorithm, adopting the global search strategy before the local search strategy in the mutation operation, and adopting the parallel mechanism, AIAGS further strengthens the original algorithm’s optimization ability. The experimental results show that the proposed method is effective.

Algorithmic Study on Position and Movement Method of Badminton Doubles

The algorithms used by schedulers depend on the complexity of the schedule and constraints for each problem. The position and movement of badminton players in badminton doubles competition is one of the key factors to improve the athletes’ transition efficiency of offense and defense and the rate of winning matches and to save energy consumption. From the perspective of basic theory, the author conducts research on the position and movement of badminton doubles. Based on the numerical analysis method, the optimal model of standing position and direction composed of 7 nonlinear equations is established. In addition, the final of 10 matches of the super series of the world badminton federation in 2019 was selected as the sample of speed parameters. With the help of MATLAB mathematical analysis software, the numerical model established by the least square method was adopted to optimize the specific standing position and walking model. Ultimately, the optimal solution has been obtained, which can be represented on a plane graph. The optimal position of the attack station should be the blocking area (saddle-shaped area) and the hanging area (circular arc area in the middle). The optimal defensive positioning should be left defensive positioning area (left front triangle area) and right defensive positioning area (right front triangle area), which is consistent with our current experience and research results. The research results use mathematical tools to calculate the accurate optimal position in doubles matches, which has guiding significance to the choice of athletes’ position and walking position in actual combat and can also be used as a reference for training, providing a certain theoretical basis for the standing and walking of badminton doubles confrontation. The data collection and operation methods in this study can provide better calculation materials for artificial intelligence optimization and fuzzy operation of motion displacement, which is of great significance in the field of motion, simulation, and the call of parametric functions.

Payload Identification and Gravity/Inertial Compensation for Six-Dimensional Force/Torque Sensor with a Fast and Robust Trajectory Design Approach

In the robot contact operation, the robot relies on the multi-dimensional force/torque sensor installed at the end to sense the external contact force. When the effective load and speed of the robot are large, the gravity/inertial force generated by it will have a non-negligible impact on the output of the force sensor, which will seriously affect the accuracy and effect of the force control. The existing identification algorithm time is often longer, which also affects the efficiency of force control operations. In this paper, a self-developed multi-dimensional force sensor with integrated gravity/inertial force sensing function is used to directly measure the resultant force. Further, a method for the rapid identification of payload based on excitation trajectory is proposed. Firstly, both a gravity compensation algorithm and an inertial force compensation algorithm are introduced. Secondly, the optimal spatial recognition pose based on the excitation trajectory was designed, and the excitation trajectory of each joint is represented by a finite Fourier series. The least square method is used to calculate the identification parameters of the load, the gravity, and inertial force. Finally, the experiment was verified on the robot. The experimental results show that the algorithm can quickly identify the payload, and it is faster and more accurate than other algorithms.

Effects of interval friction coefficients on the differential mechanism dynamics

The presence of a differential mechanism is fundamental in most automotive applications. Its importance stems from allowing a vehicle to take a curve. The differential should be well-lubricated to ensure its smooth operation and mitigate its vibration level. With lubrication conditions deteriorating over time, the sliding friction coefficient becomes difficult to predict its accurate value. Thus, scrutinizing the dynamic performance of the mechanism with deterministic sliding friction can be misleading. This paper aims to investigate the dynamic performance of the automotive differential with the presence of interval sliding friction. To this end, a 3D dimensional model of automotive differential with time-varying mesh stiffness (TVMS) and bearing flexibility is proposed. The influence of sliding friction on TVMS for straight bevel gear is revealed. The Newton-Euler formulation is used to derive the dynamic equations governing the motions of the automotive differential with friction. The Chebyshev inclusion function and the least square method are used to deal with the interval mathematical formulation of the model. The scanning method is used as a reference method in this paper. There are quite similarities between the results derived by the scanning method and that of the interval process method. The reliability analysis of the differential is conducted. The outcome of this research shows that any variation of the sliding friction can alter the dynamic performance of the differential significantly. The differential is more sensitive to the friction coefficient between the ring gear and the drive pinion and between the left-side gear and two planets. The findings should make an important contribution to the analysis of the differential mechanism.

The Influence of ASEAN Bond Market Integration in the Philippines’ Inflationary Pressures, Credit Expansions, and its Challenges

Bond markets have grown mature in many countries; however, the quality of financial integration varies across ASEAN economies. In the case of bond markets in the ASEAN +3, they experienced fast development; however, they are still less integrated. This study attempts to examine the ramifications of the ASEAN bond market integration and past crises to the Philippines’ inflation, credit, and growth and identify what impedes the development of the bond market for the period of 1992 to 2017. The study also aims to have a more in-depth analysis on preventing rises from happening and controlling both credit expansions and inflationary pressures. The Ordinary Least Square method (OLS) was used to examine the relationship of inflation, credit, bond market index, real interest rate, and integration to the Philippines’ growth. This led to this paper providing empirical insights that credit has a significant positive relationship with GDP growth; while, inflation has a significant negative relationship with GDP growth. However, the bond market index and integration showed insignificant negative results. This study provides possible reasons for the said conclusion and suggests ways not only to develop and grow the debt market in the Philippines but also to sustain long-run economic stability and growth to become on par with other ASEAN economies.

Analisis Ketahanan Pangan Rumah Tangga Petani Padi Berdasarkan Proporsi Pengeluaran Pangan Di Kota Padang

ABSTRAK Padi merupakan salah satu komoditas tanaman pangan yang cukup strategis untuk mendukung terwujudnya ketahanan pangan nasioal. Padi merupakan komoditas unggulan di Kota Padang, dan salah satu wilayah sentra produksinya adalah Kecamatan Kuranji. Sebagai wilayah lumbung pangan (padi) diasumsikan dengan tingkat kesejahteraan masyarakat (petani) yang terjamin dalam hal pemenuhan pangan. Salah satu indikator ketahanan pangan rumah tangga dicerminkan oleh proporsi pengeluaran pangan terhadap pengeluaran total. Tujuan penelitian ini adalah 1) menganalisis perkembangan (trend) produksi padi di Kota Padang dan 2) menganalisis pendapatan dan proporsi pengeluaran rumah tangga petani padi. Jenis data penelitian terdiri dari data primer dan sekunder, dengan jumlah responden sebanyak 30 rumah tangga petani padi dengan teknik pengambilan sampel secara snowball sampling. Analisis data yang digunakan meliputi analisis trend menggunakan least square method; pendapatan total; dan proporsi pengeluaran pangan. Hasil penelitian menunjukan produksi padi sawah, mengalami penurunan produksi sebesar 7812.00 Ton setiap tahunnya (2015-2019), diperkirakan pada tahun 2020 produksi padi sawah sebesar 35,882.00 Ton. Sedangkan, sumber pendapatan rumah tangga petani padi terbesar berasal dari pendapatan usahatani padi sawah (onfarm). Proporsi pengeluaran rumah tangga petani digunakan untuk pengeluaran pangan yaitu padi-padian, dengan rata-rata total pengeluaran sebesar 60.26 persen. Kata Kunci : Tanaman Pangan, Rumah Tangga Petani, Ketahanan Pangan ABSTRACT Rice is one of the food crop commodities which is quite strategic to support the realization of national food security. Rice is a leading commodity in the city of Padang, and one of its production centers is Kuranji District. As a food barn (rice) area, it is assumed that the level of welfare of the community (farmers) is guaranteed in terms of food fulfillment. One indicator of household food security is reflected by the proportion of food expenditure to total expenditure. The objectives of this study were 1) to analyze the development (trend) of rice production in Padang City and 2) to analyze the income and proportion of household expenditures of rice farmers. The type of research data consists of primary and secondary data, with the number of respondents as many as 30 rice farmer households with a snowball sampling technique. The data analysis used includesanalysis trend using the least square method; total revenue; and the proportion of food expenditure. The results showed that lowland rice production decreased by 7812.00 tons every year (2015-2019), it is estimated that in 2020 lowland rice production was 35,882.00 tons. Meanwhile, the largest source of household income for rice farmers comes from rice farming(incomeonfarm). The proportion of household expenditure of farmers is used for food expenditure, namely grains, with an average total expenditure of 60.26 percent Keywords : food crop commodities, farmer households, food security

Potential of tidal power plants with least square method on Toaya Beach

The use of energy, especially electrical power, is needed by the wider community— lots of alternative energy from nature, especially in Indonesia that can be utilized to produce electricity. One of the newest alternative examples is the energy produced by tides. Tidal energy is a type of renewable energy that is relatively more predictable in number. One method that can process the waves is the Least Square Method. Where the results of data processing using this method can be known based on tidal observations for 15 days on Toaya Beach located in Donggala Regency, Central Sulawesi, the types of tidal types that occur based on the results of Formzahl’s count is 0.357 that the tidal types that occur are varied types leaning to double daily, with a Root Mean Square Error (RMSE) of 0.028, which means that the difference between predictive results and observational data is accurate. Then also obtained the value of the design water level elevation that is the highest high water level (HHWL) is 2.7 meters, and the lowest low water level (LLWL) is -0.3 meters with a height difference is 3.0 meters. So with the high height difference, the total energy generated by two times a day with a sea area of 9 km2 which is capable of producing energy movement from seawater can be calculated the potential energy generated from the waves of Toaya Beach, which is 5,53 MW.